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Abbas M, Rassam A, Abunora R, Karamshahi F, Abouseada M. The Role of AI in Drug Discovery. Chembiochem 2024:e202300816. [PMID: 38735845 DOI: 10.1002/cbic.202300816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 05/14/2024]
Abstract
The emergence of Artificial Intelligence (AI) in drug discovery marks a pivotal shift in pharmaceutical research, blending sophisticated computational techniques with conventional scientific exploration to break through enduring obstacles. This review paper elucidates the multifaceted applications of AI across various stages of drug development, highlighting significant advancements and methodologies. It delves into AI's instrumental role in drug design, polypharmacology, chemical synthesis, drug repurposing, and the prediction of drug properties such as toxicity, bioactivity, and physicochemical characteristics. Despite AI's promising advancements, the paper also addresses the challenges and limitations encountered in the field, including data quality, generalizability, computational demands, and ethical considerations. By offering a comprehensive overview of AI's role in drug discovery, this paper underscores the technology's potential to significantly enhance drug development, while also acknowledging the hurdles that must be overcome to fully realize its benefits.
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Affiliation(s)
- Mohamed Abbas
- Qatar University, Center for Advanced Materials, Qatar University, 2713, Alduhail, QATAR
| | - Abrar Rassam
- Qatar University, Secondary Education, Educational Sciences, QATAR
| | - Rehab Abunora
- Helwan University, Faculty of medicine, General Medicine and Surgery, EGYPT
| | | | - Maha Abouseada
- Qatar University, Department of Chemistry and Earth Sciences, QATAR
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Kumar A, BharathwajChetty B, Manickasamy MK, Unnikrishnan J, Alqahtani MS, Abbas M, Almubarak HA, Sethi G, Kunnumakkara AB. Natural compounds targeting YAP/TAZ axis in cancer: Current state of art and challenges. Pharmacol Res 2024; 203:107167. [PMID: 38599470 DOI: 10.1016/j.phrs.2024.107167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 04/01/2024] [Accepted: 04/02/2024] [Indexed: 04/12/2024]
Abstract
Cancer has become a burgeoning global healthcare concern marked by its exponential growth and significant economic ramifications. Though advancements in the treatment modalities have increased the overall survival and quality of life, there are no definite treatments for the advanced stages of this malady. Hence, understanding the diseases etiologies and the underlying molecular complexities, will usher in the development of innovative therapeutics. Recently, YAP/TAZ transcriptional regulation has been of immense interest due to their role in development, tissue homeostasis and oncogenic transformations. YAP/TAZ axis functions as coactivators within the Hippo signaling cascade, exerting pivotal influence on processes such as proliferation, regeneration, development, and tissue renewal. In cancer, YAP is overexpressed in multiple tumor types and is associated with cancer stem cell attributes, chemoresistance, and metastasis. Activation of YAP/TAZ mirrors the cellular "social" behavior, encompassing factors such as cell adhesion and the mechanical signals transmitted to the cell from tissue structure and the surrounding extracellular matrix. Therefore, it presents a significant vulnerability in the clogs of tumors that could provide a wide window of therapeutic effectiveness. Natural compounds have been utilized extensively as successful interventions in the management of diverse chronic illnesses, including cancer. Owing to their capacity to influence multiple genes and pathways, natural compounds exhibit significant potential either as adjuvant therapy or in combination with conventional treatment options. In this review, we delineate the signaling nexus of YAP/TAZ axis, and present natural compounds as an alternate strategy to target cancer.
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Affiliation(s)
- Aviral Kumar
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, Assam 781039, India
| | - Bandari BharathwajChetty
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, Assam 781039, India
| | - Mukesh Kumar Manickasamy
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, Assam 781039, India
| | - Jyothsna Unnikrishnan
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, Assam 781039, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia; BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester LE1 7RH, United Kingdom
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
| | - Hassan Ali Almubarak
- Division of Radiology, Department of Medicine, College of Medicine and Surgery, King Khalid University, Abha 61421, Saudi Arabia
| | - Gautam Sethi
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, 16 Medical Drive, Singapore 117600, Singapore; NUS Center for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 117699, Singapore.
| | - Ajaikumar B Kunnumakkara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, Assam 781039, India.
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Smith DRM, Duval A, Grant R, Abbas M, Harbarth S, Opatowski L, Temime L. Predicting consequences of COVID-19 control measure de-escalation on nosocomial transmission and mortality: a modelling study in a French rehabilitation hospital. J Hosp Infect 2024; 147:47-55. [PMID: 38467250 DOI: 10.1016/j.jhin.2024.02.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 02/13/2024] [Accepted: 02/21/2024] [Indexed: 03/13/2024]
Abstract
INTRODUCTION Infection control measures are effective for nosocomial COVID-19 prevention but bear substantial health-economic costs, motivating their "de-escalation" in settings at low risk of SARS-CoV-2 transmission. Yet consequences of de-escalation are difficult to predict, particularly in light of novel variants and heterogeneous population immunity. AIM To estimate how infection control measure de-escalation influences nosocomial COVID-19 risk. METHODS An individual-based transmission model was used to simulate SARS-CoV-2 outbreaks and control measure de-escalation in a French long-term care hospital with multi-modal control measures in place (testing and isolation, universal masking, single-occupant rooms). Estimates of COVID-19 case fatality rates (CFRs) from reported outbreaks were used to quantify excess COVID-19 mortality due to de-escalation. RESULTS In a population fully susceptible to infection, de-escalating both universal masking and single rooms resulted in hospital-wide outbreaks of 114 (95% CI: 103-125) excess infections, compared with five (three to seven) excess infections when de-escalating only universal masking or 15 (11-18) when de-escalating only single rooms. When de-escalating both measures and applying CFRs from the first wave of COVID-19, excess patient mortality ranged from 1.57 (1.41-1.71) to 9.66 (8.73-10.57) excess deaths/1000 patient-days. By contrast, when applying CFRs from subsequent pandemic waves and assuming susceptibility to infection among 40-60% of individuals, excess mortality ranged from 0 (0-0) to 0.92 (0.77-1.07) excess deaths/1000 patient-days. CONCLUSIONS The de-escalation of bundled COVID-19 control measures may facilitate widespread nosocomial SARS-CoV-2 transmission. However, excess mortality is probably limited in populations at least moderately immune to infection and given CFRs resembling those estimated during the 'post-vaccine' era.
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Affiliation(s)
- D R M Smith
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - A Duval
- Epidemiology & Modelling of Antibiotic Evasion, Institut Pasteur, Université Paris-Cité, Paris, France; Anti-Infective Evasion & Pharmacoepidemiology, Université Paris-Saclay, UVSQ, INSERM, CESP, Montigny-Le-Bretonneux, France; Laboratoire MESuRS, Conservatoire National des Arts et Métiers, Paris, France
| | - R Grant
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Infection Control Programme & WHO Collaborating Centre on Infection Prevention and Control and Antimicrobial Resistance, Geneva University Hospitals, Geneva, Switzerland
| | - M Abbas
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Infection Control Programme & WHO Collaborating Centre on Infection Prevention and Control and Antimicrobial Resistance, Geneva University Hospitals, Geneva, Switzerland; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK
| | - S Harbarth
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Infection Control Programme & WHO Collaborating Centre on Infection Prevention and Control and Antimicrobial Resistance, Geneva University Hospitals, Geneva, Switzerland
| | - L Opatowski
- Epidemiology & Modelling of Antibiotic Evasion, Institut Pasteur, Université Paris-Cité, Paris, France; Anti-Infective Evasion & Pharmacoepidemiology, Université Paris-Saclay, UVSQ, INSERM, CESP, Montigny-Le-Bretonneux, France
| | - L Temime
- Laboratoire MESuRS, Conservatoire National des Arts et Métiers, Paris, France
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Atolani O, Usman MA, Adejumo JO, Ayeni AE, Ibukun OJ, Kola-Mustapha AT, Njinga NS, Quadri LA, Ajani EO, Amusa TO, Bakare-Odunola MT, Oladiji AT, Alqahtani A, Abbas M, Kambizi L. Isolation, characterization and anti-inflammatory activity of compounds from the Vernonia amygdalina. Heliyon 2024; 10:e29518. [PMID: 38665563 PMCID: PMC11043951 DOI: 10.1016/j.heliyon.2024.e29518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 04/08/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
The need to explore the abundance of natural products cannot be overemphasized particularly in the management of various disease conditions. In traditional medical practice, Vernonia amygdalina has been widely adopted in the management of various inflammatory disorders. The objective of this investigation was to isolate the bioactive principles from the stem-bark and root of V. amygdalina and assess the anti-inflammatory (in vitro) activity of both the crude extracts and the isolated compounds. Following extraction with the methanol, the extract was subjected to gravity column chromatography and the resultant fractions was further purified to obtained pure compounds. The structural elucidation of the compounds were based on data obtained from 1H to 13C nuclear magnetic resonance (NMR) spectroscopies as well as fourier transform infrared (FT-IR). Using diclofenac as a control drug, the albumin denaturation assay was used to determine the in vitro anti-inflammatory activity of the extracts and isolates. Three distinct compounds characterized are vernoamyoside D, luteolin-7-α-o-glucuronide, and vernotolaside, a new glycoside. When compared to diclofenac, which has an IC50 of 167.8 μg/mL, luteolin-7-α-o-glucuronide, vernoamyoside D, and vernotolaside all showed significant inhibitions with respective IC50 values 549.8, 379.5, and 201.7 μg/mL. Vernotolaside is reported for the first time from the root. The assertion that the plant is used in traditional medicine for the management of inflammatory disorder is somewhat validated by the confirmation of the existence of the compounds with the biochemical actions. Further validation of the isolated compounds would be required in animal studies.
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Affiliation(s)
- Olubunmi Atolani
- African Centre for Herbal Research, Ilorin (ACHRI), University of Ilorin, Nigeria
- Department of Chemistry, University of Ilorin, Ilorin, Nigeria
| | | | | | | | - Olamilekan Joseph Ibukun
- Department of Chemical Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur, 741246, West Bengal, India
| | - Adeola T. Kola-Mustapha
- African Centre for Herbal Research, Ilorin (ACHRI), University of Ilorin, Nigeria
- Department of Pharmaceutics and Industrial Pharmacy, University of Ilorin, Ilorin, Nigeria
| | - Ngaitad S. Njinga
- African Centre for Herbal Research, Ilorin (ACHRI), University of Ilorin, Nigeria
- Department of Pharmaceutical and Medicinal Chemistry, University of Ilorin, Ilorin, Nigeria
| | - Luqman A. Quadri
- African Centre for Herbal Research, Ilorin (ACHRI), University of Ilorin, Nigeria
- Department of Biochemistry, University of Ilorin, Ilorin, Nigeria
| | - Emmanuel O. Ajani
- African Centre for Herbal Research, Ilorin (ACHRI), University of Ilorin, Nigeria
- Phytomedicine Toxicology and Drug Development Laboratory, Department of Biochemistry, Kwara State University, Malete, Nigeria
| | - Tajudeen O. Amusa
- African Centre for Herbal Research, Ilorin (ACHRI), University of Ilorin, Nigeria
- Department of Forest Research Management, University of Ilorin, Ilorin, Nigeria
| | - Moji T. Bakare-Odunola
- African Centre for Herbal Research, Ilorin (ACHRI), University of Ilorin, Nigeria
- Department of Pharmaceutical and Medicinal Chemistry, University of Ilorin, Ilorin, Nigeria
| | - Adenike T. Oladiji
- African Centre for Herbal Research, Ilorin (ACHRI), University of Ilorin, Nigeria
- Department of Biochemistry, University of Ilorin, Ilorin, Nigeria
| | - Athba Alqahtani
- Research Centre, King Fahad Medical City. P.O. Box: 59046, Riyadh 11525, Saudi Arabia
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
| | - Learnmore Kambizi
- African Centre for Herbal Research, Ilorin (ACHRI), University of Ilorin, Nigeria
- Department of Hulticulture, Cape Peninsula University of Technology, South Africa
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Geeri S, Kolakoti A, Samuel OD, Abbas M, Aigba PA, Ajimotokan HA, Enweremadu CC, Elboughdiri N, Mujtaba M. Investigation of flow behaviour in the nozzle of a Pelton wheel: Effects and analysis of influencing parameters. Heliyon 2024; 10:e28986. [PMID: 38681544 PMCID: PMC11052902 DOI: 10.1016/j.heliyon.2024.e28986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 05/01/2024] Open
Abstract
The performance of a Pelton wheel is influenced by the jet created by the nozzle. Therefore, a Computational Fluid Dynamics (CFD) simulation was proposed. In this study, the significant output parameters (outlet velocity, outlet pressure, and tangential force component) and input parameters (different pressure and spear locations) were examined. In addition, the influencing parameters and their contributing percentages to the performance of the Pelton wheel were calculated using different optimisation techniques such as Taguchi Design of Experiments (DoE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Grey Relational Analysis (GRA) and Criteria Importance Through Intercriteria Correlation (CRITIC). The effect of input factors on the output response was examined with DoE, and the results show that the inlet pressure had the most significant impact (97.38%, 99.18%, and 97.38%, respectively, for all different spear sites with a 99% confidence level). In terms of preference values, the TOPSIS and GRA results are comparable (best ranks for simulation runs #24 and #25 and least ranks for simulations #2 and #3, respectively). The CRITIC results for the pressure parameter are in good agreement with the Taguchi ANOVA analysis. The last spear location (5 mm after the nozzle outlet), with an inlet pressure of 413685 Pa generated the best result when employing the TOPSIS and GRA techniques. The outlet pressure of the nozzle was found to have a significant impact on the flow pattern of the Pelton Wheel based on the analysis of the CRITIC, Taguchi, and CFD results.
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Affiliation(s)
- Satish Geeri
- Department of Mechanical Engineering, Pragati Engineering College, Surampalem, 533437, India
| | - Aditya Kolakoti
- Department of Mechanical Engineering, Raghu Engineering College, Visakhapatnam, 531162, India
- Faculty of Engineering and Quantity Surveying, INTI International University, Persiaran Perdana BBN, Putra Nilai, 71800, Nilai, Negeri Sembila, Malaysia
| | - Olusegun David Samuel
- Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, P.M.B 1221, Delta State, Nigeria
- Department of Mechanical Engineering, University of South Africa, Science Campus, Florida, South Africa
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
| | - Peter Alenoghena Aigba
- Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, P.M.B 1221, Delta State, Nigeria
| | | | - Christopher C. Enweremadu
- Department of Mechanical Engineering, University of South Africa, Science Campus, Florida, South Africa
| | - Noureddine Elboughdiri
- Chemical Engineering Department, College of Engineering, University of Ha'il, P.O. Box 2440, Ha'il, 81441, Saudi Arabia
- Chemical Engineering Process Department, National School of Engineers Gabes, University of Gabes, Gabes, 6029, Tunisia
| | - M.A. Mujtaba
- Department of Mechanical Engineering, University of Engineering and Technology, New Campus Lahore, Lahore, 54890, Pakistan
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Bukhari SNH, Elshiekh E, Abbas M. Physicochemical properties-based hybrid machine learning technique for the prediction of SARS-CoV-2 T-cell epitopes as vaccine targets. PeerJ Comput Sci 2024; 10:e1980. [PMID: 38686005 PMCID: PMC11057572 DOI: 10.7717/peerj-cs.1980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 03/15/2024] [Indexed: 05/02/2024]
Abstract
Majority of the existing SARS-CoV-2 vaccines work by presenting the whole pathogen in the attenuated form to immune system to invoke an immune response. On the other hand, the concept of a peptide based vaccine (PBV) is based on the identification and chemical synthesis of only immunodominant peptides known as T-cell epitopes (TCEs) to induce a specific immune response against a particular pathogen. However PBVs have received less attention despite holding huge untapped potential for boosting vaccine safety and immunogenicity. To identify these TCEs for designing PBV, wet-lab experiments are difficult, expensive, and time-consuming. Machine learning (ML) techniques can accurately predict TCEs, saving time and cost for speedy vaccine development. This work proposes novel hybrid ML techniques based on the physicochemical properties of peptides to predict SARS-CoV-2 TCEs. The proposed hybrid ML technique was evaluated using various ML model evaluation metrics and demonstrated promising results. The hybrid technique of decision tree classifier with chi-squared feature weighting technique and forward search optimal feature searching algorithm has been identified as the best model with an accuracy of 98.19%. Furthermore, K-fold cross-validation (KFCV) was performed to ensure that the model is reliable and the results indicate that the hybrid random forest model performs consistently well in terms of accuracy with respect to other hybrid approaches. The predicted TCEs are highly likely to serve as promising vaccine targets, subject to evaluations both in-vivo and in-vitro. This development could potentially save countless lives globally, prevent future epidemic-scale outbreaks, and reduce the risk of mutation escape.
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Affiliation(s)
- Syed Nisar Hussain Bukhari
- National Institute of Electronics and Information Technology (NIELIT), Srinagar, Jammu and Kashmir, India
| | - E. Elshiekh
- Department of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia
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Catho G, Fortchantre L, Teixeira D, Galas-Haddad M, Boroli F, Chraïti MN, Abbas M, Harbarth S, Buetti N. Surveillance of catheter-associated bloodstream infections: development and validation of a fully automated algorithm. Antimicrob Resist Infect Control 2024; 13:38. [PMID: 38600526 PMCID: PMC11007875 DOI: 10.1186/s13756-024-01395-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 04/01/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Most surveillance systems for catheter-related bloodstream infections (CRBSI) and central line-associated bloodstream infections (CLABSI) are based on manual chart review. Our objective was to validate a fully automated algorithm for CRBSI and CLABSI surveillance in intensive care units (ICU). METHODS We developed a fully automated algorithm to detect CRBSI, CLABSI and ICU-onset bloodstream infections (ICU-BSI) in patients admitted to the ICU of a tertiary care hospital in Switzerland. The parameters included in the algorithm were based on a recently performed systematic review. Structured data on demographics, administrative data, central vascular catheter and microbiological results (blood cultures and other clinical cultures) obtained from the hospital's data warehouse were processed by the algorithm. Validation for CRBSI was performed by comparing results with prospective manual BSI surveillance data over a 6-year period. CLABSI were retrospectively assessed over a 2-year period. RESULTS From January 2016 to December 2021, 854 positive blood cultures were identified in 346 ICU patients. The median age was 61.7 years [IQR 50-70]; 205 (24%) positive samples were collected from female patients. The algorithm detected 5 CRBSI, 109 CLABSI and 280 ICU-BSI. The overall CRBSI and CLABSI incidence rates determined by automated surveillance for the period 2016 to 2021 were 0.18/1000 catheter-days (95% CI 0.06-0.41) and 3.86/1000 catheter days (95% CI: 3.17-4.65). The sensitivity, specificity, positive predictive and negative predictive values of the algorithm for CRBSI, were 83% (95% CI 43.7-96.9), 100% (95% CI 99.5-100), 100% (95% CI 56.5-100), and 99.9% (95% CI 99.2-100), respectively. One CRBSI was misclassified as an ICU-BSI by the algorithm because the same bacterium was identified in the blood culture and in a lower respiratory tract specimen. Manual review of CLABSI from January 2020 to December 2021 (n = 51) did not identify any errors in the algorithm. CONCLUSIONS A fully automated algorithm for CRBSI and CLABSI detection in critically-ill patients using only structured data provided valid results. The next step will be to assess the feasibility and external validity of implementing it in several hospitals with different electronic health record systems.
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Affiliation(s)
- Gaud Catho
- Infection Control Programme and World Health Organization Collaborating Centre, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
- Infectious Diseases Division, Central Institute, Valais Hospital, Sion, Switzerland.
| | - Loïc Fortchantre
- Infection Control Programme and World Health Organization Collaborating Centre, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Daniel Teixeira
- Infection Control Programme and World Health Organization Collaborating Centre, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Murielle Galas-Haddad
- Infection Control Programme and World Health Organization Collaborating Centre, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Filippo Boroli
- Intensive Care Unit Division, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Marie-Noëlle Chraïti
- Infection Control Programme and World Health Organization Collaborating Centre, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Mohamed Abbas
- Infection Control Programme and World Health Organization Collaborating Centre, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
- MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK
| | - Stephan Harbarth
- Infection Control Programme and World Health Organization Collaborating Centre, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Niccolò Buetti
- Infection Control Programme and World Health Organization Collaborating Centre, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
- INSERM, IAME, Université Paris-Cité, Paris, 75006, France
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Rathinam M, Vijayan P, Balasubramanian S, Ponnusamy S, SaravanaVadivu A, Abbas M, Balakrishnan BB. Nicotine sensing behavior of nickel(II) complexes catalyzed oxidation and coupling reactions. Heliyon 2024; 10:e27102. [PMID: 38510026 PMCID: PMC10950501 DOI: 10.1016/j.heliyon.2024.e27102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 03/22/2024] Open
Abstract
One of the main source of demise during the next ten years will be coronary heart disease and stroke, which are brought on by smoking (nicotine). To identify the percentage (%) of nicotine consumption by electrocatalytic sensor towards nicotine for target-specific prevent stroke, four uninuclear Ni2+ complexes of substituted butanimidamide Schiff base ligands [H2L1-4] was prepared. All the complexes were thoroughly analyzed by using several spectroscopic techniques such as CHNS analysis, FT-IR, NMR (1H & 13C) UV-Vis and NMR. The analyses showed tetradentate binding mode of ligand around nickel(II) metal ion leads to the structure of square planar with N2X2 (X = O, S) donor fashion. In addition, the well-defined nickel(II) complexes were utilized for oxidation of various alcohols such as cyclohexanol, and benzyl alcohol were produced to the assorted oxidized products with high yield respectively using greener co-oxidant (molecular oxygen). In addition, Nickel(II) complexes was further utilized as catalyst for aryl-aryl coupling reaction via Suzuki-Mayura method to obtain biphenyl compound. Furthermore, nickel(II) complexes were exploited for electrochemical detection of nicotine sensing in μM concentration.
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Affiliation(s)
- Madaselvi Rathinam
- Research and Development Centre, Bharathiar University, Coimbatore, 641046, India
- Department of Chemistry, Arulmigu Kalasalingam College of Education, Virudunagar, 626 126, India
| | - Paranthaman Vijayan
- Research and Development Centre, Bharathiar University, Coimbatore, 641046, India
| | | | - Sasikumar Ponnusamy
- Department of Physics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India
| | - Arunachalam SaravanaVadivu
- Research and Development Centre, Bharathiar University, Coimbatore, 641046, India
- Department of Electrochemistry, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
| | - Brindha Banu Balakrishnan
- Department of Biochemistry and Bioinformatics, Dr. MGR Janaki College of Arts and Science for Women, Chennai, 600028, India
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William JNG, Dhar R, Gundamaraju R, Sahoo OS, Pethusamy K, Raj AFPAM, Ramasamy S, Alqahtani MS, Abbas M, Karmakar S. SKping cell cycle regulation: role of ubiquitin ligase SKP2 in hematological malignancies. Front Oncol 2024; 14:1288501. [PMID: 38559562 PMCID: PMC10978726 DOI: 10.3389/fonc.2024.1288501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 02/15/2024] [Indexed: 04/04/2024] Open
Abstract
SKP2 (S-phase kinase-associated protein 2) is a member of the F-box family of substrate-recognition subunits in the SCF ubiquitin-protein ligase complexes. It is associated with ubiquitin-mediated degradation in the mammalian cell cycle components and other target proteins involved in cell cycle progression, signal transduction, and transcription. Being an oncogene in solid tumors and hematological malignancies, it is frequently associated with drug resistance and poor disease outcomes. In the current review, we discussed the novel role of SKP2 in different hematological malignancies. Further, we performed a limited in-silico analysis to establish the involvement of SKP2 in a few publicly available cancer datasets. Interestingly, our study identified Skp2 expression to be altered in a cancer-specific manner. While it was found to be overexpressed in several cancer types, few cancer showed a down-regulation in SKP2. Our review provides evidence for developing novel SKP2 inhibitors in hematological malignancies. We also investigated the effect of SKP2 status on survival and disease progression. In addition, the role of miRNA and its associated families in regulating Skp2 expression was explored. Subsequently, we predicted common miRNAs against Skp2 genes by using miRNA-predication tools. Finally, we discussed current approaches and future prospective approaches to target the Skp2 gene by using different drugs and miRNA-based therapeutics applications in translational research.
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Affiliation(s)
- Jonahunnatha Nesson George William
- Department of Medical, Oral and Biotechnological Sciences (DSMOB), Ageing Research Center and Translational Medicine-CeSI-MeT, “G. d’Annunzio” University Chieti-Pescara, Chieti, Italy
| | - Ruby Dhar
- Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | - Rohit Gundamaraju
- ER Stress and Intestinal Mucosal Biology Lab, School of Health Sciences, University of Tasmania, Launceston, TAS, Australia
| | - Om Saswat Sahoo
- Department of Biotechnology, National Institute of Technology, Durgapur, India
| | - Karthikeyan Pethusamy
- Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | | | - Subbiah Ramasamy
- Cardiac Metabolic Disease Laboratory, Department Of Biochemistry, School of Biological Sciences, Madurai Kamaraj University, Madurai, India
| | - Mohammed S. Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, University of Leicester, Leicester, United Kingdom
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia
| | - Subhradip Karmakar
- Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
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Kumar R, Lalnundiki V, Shelare SD, Abhishek GJ, Sharma S, Sharma D, Kumar A, Abbas M. An investigation of the environmental implications of bioplastics: Recent advancements on the development of environmentally friendly bioplastics solutions. Environ Res 2024; 244:117707. [PMID: 38008206 DOI: 10.1016/j.envres.2023.117707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/04/2023] [Accepted: 11/15/2023] [Indexed: 11/28/2023]
Abstract
The production and utilization of plastics may prove beneficial, but the environmental impact suggests the opposite. The single-use plastics (SUP) and conventional plastics are harmful to the environment and need prompt disposal. Bioplastics are increasingly being considered as a viable alternative to conventional plastics due to their potential to alleviate environmental concerns such as greenhouse gas emissions and pollution. However, the previous reviews revealed a lack of consistency in the methodologies used in the Life Cycle Assessments (LCAs), making it difficult to compare the results across studies. The current study provides a systematic review of LCAs that assess the environmental impact of bioplastics. The different mechanical characteristics of bio plastics, like tensile strength, Young's modulus, flexural modulus, and elongation at break are reviewed which suggest that bio plastics are comparatively much better than synthetic plastics. Bioplastics have more efficient mechanical properties compared to synthetic plastics which signifies that bioplastics are more sustainable and reliable than synthetic plastics. The key challenges in bioplastic adoption and production include competition with food production for feedstock, high production costs, uncertainty in end-of-life management, limited biodegradability, lack of standardization, and technical performance limitations. Addressing these challenges requires collaboration among stakeholders to drive innovation, reduce costs, improve end-of-life management, and promote awareness and education. Overall, the study suggests that while bioplastics have the potential to reduce environmental impact, further research is needed to better understand their life cycle and optimize their end-of-life (EoL) management and production to maximize their environmental benefits.
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Affiliation(s)
- Ravinder Kumar
- School of Mechanical Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India.
| | - V Lalnundiki
- School of Agriculture, Lovely Professional University, Phagwara, Punjab, 144411, India.
| | - Sagar D Shelare
- Department of Mechanical Engineering, Priyadarshini College of Engineering, Nagpur, M.S, 440019, India.
| | - Galla John Abhishek
- School of Agriculture, Lovely Professional University, Phagwara, Punjab, 144411, India.
| | - Shubham Sharma
- Mechanical Engineering Department, University Centre for Research and Development, Chandigarh University, Mohali, Punjab, 140413, India; School of Mechanical and Automotive Engineering, Qingdao University of Technology, 266520, Qingdao, China; Department of Mechanical Engineering, Lebanese American University, Kraytem, 1102-2801, Beirut, Lebanon; Centre of Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India.
| | - Deepti Sharma
- Department of Management, Uttaranchal Institute of Management, Uttaranchal University, Dehradun, 248007, India.
| | - Abhinav Kumar
- Department of Nuclear and Renewable Energy, Ural Federal University Named After the First President of Russia, Boris Yeltsin, 19 Mira Street, 620002, Ekaterinburg, Russia.
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia.
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BharathwajChetty B, Sajeev A, Vishwa R, Aswani BS, Alqahtani MS, Abbas M, Kunnumakkara AB. Dynamic interplay of nuclear receptors in tumor cell plasticity and drug resistance: Shifting gears in malignant transformations and applications in cancer therapeutics. Cancer Metastasis Rev 2024; 43:321-362. [PMID: 38517618 DOI: 10.1007/s10555-024-10171-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 01/19/2024] [Indexed: 03/24/2024]
Abstract
Recent advances have brought forth the complex interplay between tumor cell plasticity and its consequential impact on drug resistance and tumor recurrence, both of which are critical determinants of neoplastic progression and therapeutic efficacy. Various forms of tumor cell plasticity, instrumental in facilitating neoplastic cells to develop drug resistance, include epithelial-mesenchymal transition (EMT) alternatively termed epithelial-mesenchymal plasticity, the acquisition of cancer stem cell (CSC) attributes, and transdifferentiation into diverse cell lineages. Nuclear receptors (NRs) are a superfamily of transcription factors (TFs) that play an essential role in regulating a multitude of cellular processes, including cell proliferation, differentiation, and apoptosis. NRs have been implicated to play a critical role in modulating gene expression associated with tumor cell plasticity and drug resistance. This review aims to provide a comprehensive overview of the current understanding of how NRs regulate these key aspects of cancer biology. We discuss the diverse mechanisms through which NRs influence tumor cell plasticity, including EMT, stemness, and metastasis. Further, we explore the intricate relationship between NRs and drug resistance, highlighting the impact of NR signaling on chemotherapy, radiotherapy and targeted therapies. We also discuss the emerging therapeutic strategies targeting NRs to overcome tumor cell plasticity and drug resistance. This review also provides valuable insights into the current clinical trials that involve agonists or antagonists of NRs modulating various aspects of tumor cell plasticity, thereby delineating the potential of NRs as therapeutic targets for improved cancer treatment outcomes.
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Affiliation(s)
- Bandari BharathwajChetty
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Anjana Sajeev
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Ravichandran Vishwa
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Babu Santha Aswani
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha, 61421, Saudi Arabia
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
| | - Ajaikumar B Kunnumakkara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India.
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Vishwa R, BharathwajChetty B, Girisa S, Aswani BS, Alqahtani MS, Abbas M, Hegde M, Kunnumakkara AB. Lipid metabolism and its implications in tumor cell plasticity and drug resistance: what we learned thus far? Cancer Metastasis Rev 2024; 43:293-319. [PMID: 38438800 DOI: 10.1007/s10555-024-10170-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 01/19/2024] [Indexed: 03/06/2024]
Abstract
Metabolic reprogramming, a hallmark of cancer, allows cancer cells to adapt to their specific energy needs. The Warburg effect benefits cancer cells in both hypoxic and normoxic conditions and is a well-studied reprogramming of metabolism in cancer. Interestingly, the alteration of other metabolic pathways, especially lipid metabolism has also grabbed the attention of scientists worldwide. Lipids, primarily consisting of fatty acids, phospholipids and cholesterol, play essential roles as structural component of cell membrane, signalling molecule and energy reserves. This reprogramming primarily involves aberrations in the uptake, synthesis and breakdown of lipids, thereby contributing to the survival, proliferation, invasion, migration and metastasis of cancer cells. The development of resistance to the existing treatment modalities poses a major challenge in the field of cancer therapy. Also, the plasticity of tumor cells was reported to be a contributing factor for the development of resistance. A number of studies implicated that dysregulated lipid metabolism contributes to tumor cell plasticity and associated drug resistance. Therefore, it is important to understand the intricate reprogramming of lipid metabolism in cancer cells. In this review, we mainly focused on the implication of disturbed lipid metabolic events on inducing tumor cell plasticity-mediated drug resistance. In addition, we also discussed the concept of lipid peroxidation and its crucial role in phenotypic switching and resistance to ferroptosis in cancer cells. Elucidating the relationship between lipid metabolism, tumor cell plasticity and emergence of resistance will open new opportunities to develop innovative strategies and combinatorial approaches for the treatment of cancer.
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Affiliation(s)
- Ravichandran Vishwa
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Bandari BharathwajChetty
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Sosmitha Girisa
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Babu Santha Aswani
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha, 61421, Saudi Arabia
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
| | - Mangala Hegde
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Ajaikumar B Kunnumakkara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India.
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Elbanna AA, El-Toukhy RI, Abbas M, Zaghloul NM. Effect of Dimethyl Sulfoxide Primer on Microtensile Bond Strength and Micromorphological Pattern of HEMA-free Universal Adhesive to Dry/Wet Dentin After Thermomechanical Aging. J Clin Exp Dent 2024; 16:e323-e332. [PMID: 38600935 PMCID: PMC11003282 DOI: 10.4317/jced.61252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 02/05/2024] [Indexed: 04/12/2024] Open
Abstract
Background To evaluate the effect of dimethyl sulfoxide (DMSO) primer on microtensile bond strength (μTBS) and the micromorphological pattern of a hydroxyethyl methacrylate (HEMA)-free universal adhesive (UA) applied on wet/dry dentin in etch and rinse (E&R) mode before/after thermomechanical aging. Material and Methods For the μTBS test, the mid-coronal dentin of 80 human mandibular first molars was exposed and etched with 35% phosphoric acid. Teeth were randomly divided into two equal groups: dry and wet dentin (n = 40). Then, each group was subdivided according to dentin pretreatment by DMSO before UA (Gluma Bond Universal, Heraeus Kulzer, Hanau, Germany) application into unpretreated and 10% DMSO/water (OT Primer S100, OT Oy Dent, Turku, Finland) pretreated (n = 20). Resin composite blocks were built up using a specially designed Teflon mold. In every subgroup, both the μTBS test and failure analysis by stereomicroscope were evaluated immediately after 24 h and after thermomechanical aging (n = 10). The data were statistically analyzed using a three-way analysis of variance (ANOVA) (p = 0.05). For the micromorphological pattern, 16 maxillary first premolars were distributed as mentioned in the μTBS test, prepared, and buccolingually sectioned. The dentin-resin interface was examined using an environmental scanning electron microscope (ESEM) (n = 2). Results Three-way ANOVA revealed that the main effects and interactions between dentin wetness, dentin pretreatment, and evaluation time (thermomechanical aging) were not significant for µTBS (p> 0.05). Adhesive failure was the predominant type in all immediate and delayed specimens. Longer and more prominent resin tags were observed at dentin-resin interfaces after DMSO application. Conclusions Neither the initial dentin wetness condition, dentin pretreatment, nor thermomechanical aging could affect the dentin bond strength. No correlation was found between the bond strength and the micromorphology findings. Key words:Wet/dry dentin bonding, Microtensile bond strength, Micromorphology, Universal adhesive, Dimethyl sulfoxide, Thermomechanical aging.
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Affiliation(s)
- Asmaa A Elbanna
- Assistant Clinical Lecturer, Conservative Dentistry Department, Faculty of Dentistry, Mansoura University, Egypt
| | - Radwa I El-Toukhy
- Associate Professor, Conservative Dentistry Department, Faculty of Dentistry, Mansoura University, Egypt
- Associate Professor, Conservative Dentistry Department, Faculty of Dentistry, Horus University, New-Damietta, Egypt
| | - Mohamed Abbas
- Professor, Dental Biomaterials Department, Faculty of Dental Medicine, Al-Azhar University for Boys, Cairo, Egypt
| | - Nadia M Zaghloul
- Professor, Conservative Dentistry Department, Faculty of Dentistry, Mansoura University, Egypt
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Elkawash HA, Abdalla MA, Haridy R, Abbas M, Kaisarly D, El Gezawi M. Influence of Immediate Dentin Sealing on Marginal Gaps of Laminate Veneers: Machinable Monolithic Zirconia Versus Pressable Lithium Dislocate. An In Vitro Study. INT J PROSTHODONT 2024; 37:109. [PMID: 38381991 DOI: 10.11607/ijp.8008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
PURPOSE To investigate the influence of immediate dentin sealing (IDS) vs delayed dentin sealing (DDS) on the marginal gaps of machinable monolithic zirconia (MMZ) vs pressable lithium disilicate (PLD) laminate veneers. MATERIALS AND METHODS A total of 40 maxillary lateral incisors were used and received butt-joint laminate veneer preparation. The samples were divided into two groups (n = 20 each) according to ceramic material: PLD ceramic was used in the first group, and MMZ was used in the second. Each group was then divided into two subgroups according to the bonding protocol: IDS was employed in one, and DDS in the other (n = 10 each). The marginal gap widths were measured using digital microscopy and statistically analyzed. RESULTS The smallest marginal gaps were observed in MMZ-DDS (57.2 ± 8.4 μm), followed by PLD-DDS (62.4 ± 2.7 μm) and MMZ-IDS (63.5 ± 1.9 μm). The largest marginal gaps were observed in PLD-IDS (81.5 ± 6.3 μm). Two-way ANOVA revealed that the bonding technique (P < .001) and ceramic material (P < .001) both showed significant differences. CONCLUSIONS MMZ produced beIer marginal accuracy than PLD. IDS seems to have a predisposition to significantly wider marginal gaps than DDS, but these gaps are within the clinically acceptable range. The marginal accuracy of ceramic veneers appears to be related to the bonding technique as well as the material of construction.
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15
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Manickasamy MK, Jayaprakash S, Girisa S, Kumar A, Lam HY, Okina E, Eng H, Alqahtani MS, Abbas M, Sethi G, Kumar AP, Kunnumakkara AB. Delineating the role of nuclear receptors in colorectal cancer, a focused review. Discov Oncol 2024; 15:41. [PMID: 38372868 PMCID: PMC10876515 DOI: 10.1007/s12672-023-00808-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 10/20/2023] [Indexed: 02/20/2024] Open
Abstract
Colorectal cancer (CRC) stands as one of the most prevalent form of cancer globally, causing a significant number of deaths, surpassing 0.9 million in the year 2020. According to GLOBOCAN 2020, CRC ranks third in incidence and second in mortality in both males and females. Despite extensive studies over the years, there is still a need to establish novel therapeutic targets to enhance the patients' survival rate in CRC. Nuclear receptors (NRs) are ligand-activated transcription factors (TFs) that regulate numerous essential biological processes such as differentiation, development, physiology, reproduction, and cellular metabolism. Dysregulation and anomalous expression of different NRs has led to multiple alterations, such as impaired signaling cascades, mutations, and epigenetic changes, leading to various diseases, including cancer. It has been observed that differential expression of various NRs might lead to the initiation and progression of CRC, and are correlated with poor survival outcomes in CRC patients. Despite numerous studies on the mechanism and role of NRs in this cancer, it remains of significant scientific interest primarily due to the diverse functions that various NRs exhibit in regulating key hallmarks of this cancer. Thus, modulating the expression of NRs with their agonists and antagonists, based on their expression levels, holds an immense prospect in the diagnosis, prognosis, and therapeutical modalities of CRC. In this review, we primarily focus on the role and mechanism of NRs in the pathogenesis of CRC and emphasized the significance of targeting these NRs using a variety of agents, which may represent a novel and effective strategy for the prevention and treatment of this cancer.
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Affiliation(s)
- Mukesh Kumar Manickasamy
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Sujitha Jayaprakash
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Sosmitha Girisa
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Aviral Kumar
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India
| | - Hiu Yan Lam
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Queenstown, 117600, Singapore
- NUS Center for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Queenstown, 117699, Singapore
| | - Elena Okina
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Queenstown, 117600, Singapore
- NUS Center for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Queenstown, 117699, Singapore
| | - Huiyan Eng
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Queenstown, 117600, Singapore
- NUS Center for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Queenstown, 117699, Singapore
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, LE1 7RH, UK
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - Gautam Sethi
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Queenstown, 117600, Singapore
- NUS Center for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Queenstown, 117699, Singapore
| | - Alan Prem Kumar
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Queenstown, 117600, Singapore.
- NUS Center for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Queenstown, 117699, Singapore.
| | - Ajaikumar B Kunnumakkara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, 781039, Assam, India.
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Manickasamy MK, Sajeev A, BharathwajChetty B, Alqahtani MS, Abbas M, Hegde M, Aswani BS, Shakibaei M, Sethi G, Kunnumakkara AB. Exploring the nexus of nuclear receptors in hematological malignancies. Cell Mol Life Sci 2024; 81:78. [PMID: 38334807 PMCID: PMC10858172 DOI: 10.1007/s00018-023-05085-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/16/2023] [Accepted: 12/03/2023] [Indexed: 02/10/2024]
Abstract
Hematological malignancies (HM) represent a subset of neoplasms affecting the blood, bone marrow, and lymphatic systems, categorized primarily into leukemia, lymphoma, and multiple myeloma. Their prognosis varies considerably, with a frequent risk of relapse despite ongoing treatments. While contemporary therapeutic strategies have extended overall patient survival, they do not offer cures for advanced stages and often lead to challenges such as acquisition of drug resistance, recurrence, and severe side effects. The need for innovative therapeutic targets is vital to elevate both survival rates and patients' quality of life. Recent research has pivoted towards nuclear receptors (NRs) due to their role in modulating tumor cell characteristics including uncontrolled proliferation, differentiation, apoptosis evasion, invasion and migration. Existing evidence emphasizes NRs' critical role in HM. The regulation of NR expression through agonists, antagonists, or selective modulators, contingent upon their levels, offers promising clinical implications in HM management. Moreover, several anticancer agents targeting NRs have been approved by the Food and Drug Administration (FDA). This review highlights the integral function of NRs in HM's pathophysiology and the potential benefits of therapeutically targeting these receptors, suggesting a prospective avenue for more efficient therapeutic interventions against HM.
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Affiliation(s)
- Mukesh Kumar Manickasamy
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, Assam, 781039, India
| | - Anjana Sajeev
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, Assam, 781039, India
| | - Bandari BharathwajChetty
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, Assam, 781039, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, University of Leicester, Michael Atiyah Building, Leicester, LE1 7RH, UK
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - Mangala Hegde
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, Assam, 781039, India
| | - Babu Santha Aswani
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, Assam, 781039, India
| | - Mehdi Shakibaei
- Chair of Vegetative Anatomy, Department of Human-Anatomy, Musculoskeletal Research Group and Tumor Biology, Institute of Anatomy, Ludwig-Maximilian-University, 80336, Munich, Germany
| | - Gautam Sethi
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117600, Singapore.
- NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore.
| | - Ajaikumar B Kunnumakkara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati (IITG), Guwahati, Assam, 781039, India.
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Chinnasamy P, Sivajothi R, Sathish S, Abbas M, Jeyakrishnan V, Goel R, Alqahtani MS, Loganathan K. Publisher Correction: Peristaltic transport of Sutterby nanofluid flow in an inclined tapered channel with an artificial neural network model and biomedical engineering application. Sci Rep 2024; 14:2969. [PMID: 38316981 PMCID: PMC10844624 DOI: 10.1038/s41598-024-53423-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024] Open
Affiliation(s)
- P Chinnasamy
- Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
| | - R Sivajothi
- Department of Management, R L Institute of Management Studies (A Unit of Subbalakshmi Lakshmipathy College of Science), Madurai, Tamil Nadu, India
| | - S Sathish
- Department of Mathematics, School of Science, National Institute of Technology, Tadepalligudem, Andhra Pradesh, India
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - V Jeyakrishnan
- Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India
| | - Rajat Goel
- Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, LE1 7RH, UK
| | - K Loganathan
- Department of Mathematics and Statistics, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
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Mushtaq RT, Wang Y, Bao C, Rehman M, Sharma S, Khan AM, Eldin EMT, Abbas M. Maximizing performance and efficiency in 3D printing of polylactic acid biomaterials: Unveiling of microstructural morphology, and implications of process parameters and modeling of the mechanical strength, surface roughness, print time, and print energy for fused filament fabricated (FFF) bioparts. Int J Biol Macromol 2024; 259:129201. [PMID: 38191110 DOI: 10.1016/j.ijbiomac.2024.129201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/28/2023] [Accepted: 01/01/2024] [Indexed: 01/10/2024]
Abstract
Medical stents, artificial teeth, and grafts are just some of the many applications for additive manufacturing techniques like bio-degradable polylactic acid 3D printing. However, there are drawbacks associated with fused filament fabrication-fabricated objects, including poor surface quality, insufficient mechanical strength, and a lengthy construction time for even a relatively small object. Thus, this study aims to identify the finest polylactic acid 3D printing parameters to maximize print quality while minimizing energy use, print time, flexural and tensile strengths, average surface roughness, and print time, respectively. Specifically, the infill density, printing speed, and layer thickness are all variables that were selected. A full-central-composite design generated 20 samples to test the prediction models' experimental procedures. Validation trial tests were used to show that the experimental findings agreed with the predictions, and analysis of variance was used to verify the importance of the performance characteristics (ANOVA). At layer thickness = 0.26 mm, infill density = 84 %, and print speed = 68.87 mm/s, the following optimized values were measured for PLA: flexural strength = 70.1 MPa, tensile strength = 39.2 MPa, minimum surface roughness = 7.8 μm, print time = 47 min, and print energy = 0.18 kwh. Firms and clinicians may benefit from utilizing the developed, model to better predict the required surface characteristic for various aspects afore trials.
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Affiliation(s)
- Ray Tahir Mushtaq
- Bio-Additive Manufacturing University-Enterprise Joint Research Center of Shaanxi Province, Department of Industry Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
| | - Yanen Wang
- Bio-Additive Manufacturing University-Enterprise Joint Research Center of Shaanxi Province, Department of Industry Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
| | - Chengwei Bao
- Bio-Additive Manufacturing University-Enterprise Joint Research Center of Shaanxi Province, Department of Industry Engineering, Northwestern Polytechnical University, Xi'an 710072, China; School of Intelligent Manufacturing and Control Technology, Xi'an Mingde Institute of Technology, Xi'an 710124, China.
| | - Mudassar Rehman
- Bio-Additive Manufacturing University-Enterprise Joint Research Center of Shaanxi Province, Department of Industry Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
| | - Shubham Sharma
- School of Mechanical and Automotive Engineering, Qingdao University of Technology, 266520 Qingdao, China; Department of Mechanical Engineering, Lebanese American University, Kraytem, 1102-2801 Beirut, Lebanon; Centre for Research Impact and Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India; Faculty of Mechanical Engineering, Opole University of Technology, 45-758 Opole, Poland.
| | - Aqib Mashood Khan
- Faculty of Engineering and Technology, Department of Mechatronics Engineering, University of Chakwal, Chakwal 48800, Pakistan.
| | - Elsayed M-Tag Eldin
- Faculty of Engineering, Center for Research, Future University in Egypt, New Cairo 11835, Egypt.
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia.
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Jeganathan K, Anzen Koffer V, Lakshmanan K, Loganathan K, Abbas M, Shilpa A. Replacement of failed items in a two commodity retrial queueing-inventory system with multi-component demand and vacation interruption. Heliyon 2024; 10:e24024. [PMID: 38293346 PMCID: PMC10825305 DOI: 10.1016/j.heliyon.2024.e24024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 12/20/2023] [Accepted: 01/02/2024] [Indexed: 02/01/2024] Open
Abstract
This study investigates a crucial aspect of inventory management, which is the process of replacing failed items. In dynamic commercial environments, it is essential to efficiently and strategically replace failed items to maintain operational efficiency and ensure profitability. We consider a two-commodity retrial queueing-inventory system with vacation interruption. Upon purchasing the first commodity, the second commodity is provided as a complimentary item. In contrast, no item is given as a complimentary for the purchase of the second item. Only the first commodity is stored in a dedicated pooled storage for replacement when it fails. The ( s , Q ) policy governs replenishing the first commodity while the second is replenished through instantaneous ordering. The model considers the multi-component demand rate for customer arrivals. Server vacations are initiated during customer absence in waiting hall or when the first commodity is unavailable. We formulate a level-dependent quasi-birth-and-death process, and its steady-state probability vector is computed using Neuts and Rao's truncation method. The stability condition for the system is derived, and various system performance measures, including expected total cost, number of replaceable items, and customers in the waiting hall and orbit, are established. The comparative analysis between the system with replacement is done with the regular model without replacement, which revealed the efficiency of replacement. The analysis of multi-component demand towards homogeneous arrival highlights the impact of multi-component demand on boosting customer arrival. Also, parametric sensitivity analysis has been conducted numerically over total cost, mean number of failed items for replacement, and mean number of customers in the waiting hall and orbit.
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Affiliation(s)
- K. Jeganathan
- Ramanujan Institute for Advanced Study in Mathematics, University of Madras, Chennai, 600005, India
| | - V. Anzen Koffer
- Ramanujan Institute for Advanced Study in Mathematics, University of Madras, Chennai, 600005, India
| | - K. Lakshmanan
- Department of Mathematics, St. Joseph University, Dimapur, Nagaland, 797115, India
| | - K. Loganathan
- Department of Mathematics and Statistics, Manipal University Jaipur, Jaipur, 303007, Rajasthan, India
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
| | - A. Shilpa
- MLR Institute of Technology, Hyderabad, Telangana, India
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Mathur R, Sharma MK, Loganathan K, Abbas M, Hussain S, Kataria G, Alqahtani MS, Srinivas Rao K. Modeling of two-stage anaerobic onsite wastewater sanitation system to predict effluent soluble chemical oxygen demand through machine learning. Sci Rep 2024; 14:1835. [PMID: 38246914 PMCID: PMC10800349 DOI: 10.1038/s41598-023-50805-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 12/26/2023] [Indexed: 01/23/2024] Open
Abstract
The present research aims to predict effluent soluble chemical oxygen demand (SCOD) in anaerobic digestion (AD) process using machine-learning based approach. Anaerobic digestion is a highly sensitive process and depends upon several environmental and operational factors, such as temperature, flow, and load. Therefore, predicting output characteristics using modeling is important not only for process monitoring and control, but also to reduce the operating cost of the treatment plant. It is difficult to predict COD in a real time mode, so it is better to use Complex Mathematical Modeling (CMM) for simulating AD process and forecasting output parameters. Therefore, different Machine Learning algorithms, such as Linear Regression, Decision Tree, Random Forest and Artificial Neural Networks, have been used for predicting effluent SCOD using data acquired from in situ anaerobic wastewater treatment system. The result of the predicted data using different algorithms were compared with experimental data of anaerobic system. It was observed that the Artificial Neural Networks is the most effective simulation technique that correlated with the experimental data with the mean absolute percentage error of 10.63 and R2 score of 0.96. This research proposes an efficient and reliable integrated modeling method for early prediction of the water quality in wastewater treatment.
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Affiliation(s)
- Rajshree Mathur
- Department of Civil Engineering, Manipal University Jaipur, Jaipur, 303007, Rajasthan, India
| | - Meena Kumari Sharma
- Department of Civil Engineering, Manipal University Jaipur, Jaipur, 303007, Rajasthan, India
| | - K Loganathan
- Department of Mathematics and Statistics, Manipal University Jaipur, Jaipur, 303007, Rajasthan, India.
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - Shaik Hussain
- Trenchless Technology Center (TTC), Louisiana Tech University, Ruston, USA
| | - Gaurav Kataria
- Department of Chemical Engineering, Manipal University Jaipur, Jaipur, 303007, Rajasthan, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, LE1 7RH, UK
| | - Koppula Srinivas Rao
- Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
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21
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Flilissa A, Laouameur K, HammoudI NE, Tamam N, Yadav KK, Achouri B, Alyami AY, Flilissa O, Algethami JS, Abbas M, Jeon BH, Benboudiaf S, Benguerba Y. Bentonite SDBS-loaded composite for methylene blue removal from wastewater: An experimental and theoretical investigation. Environ Res 2024; 241:117544. [PMID: 37944689 DOI: 10.1016/j.envres.2023.117544] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 10/07/2023] [Accepted: 10/29/2023] [Indexed: 11/12/2023]
Abstract
This study addresses the urgent need for practical solutions to industrial water contamination. Utilizing Algerian Bentonite as an adsorbent due to its regional prevalence, we focused on the efficiency of the Bentonite/Sodium dodecylbenzene sulfonate (SDBS) matrix in Methylene Blue (MB) removal. The zero-charge point and IR spectroscopy characterized the adsorbent. Acidic pH facilitated SDBS adsorption on Bentonite, achieving equilibrium in 30 min with a pseudo-second-order model. The UPAC and Freundlich model indicated a qmax of 25.97 mg/g. SDBS adsorption was exothermic at elevated temperatures. The loaded Bentonite exhibited excellent MB adsorption (pH 3-9) with PSOM kinetics. Maximum adsorption capacity using IUPAC and GILES-recommended isotherms was qmax = 23.54 mg/g. The loaded Bentonite's specific surface area was 70.01 m2/g, and the Sips model correlated well with experimental data (R2 = 0.98). This study highlights adsorption, mainly Bentonite/SDBS matrices, as a promising approach for remediating polluted areas by efficiently capturing and removing surfactants and dyes, contributing valuable insights to address industrial water contamination challenges.
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Affiliation(s)
- Abdenacer Flilissa
- Laboratoire MCGN, Département de Pharmacie, Faculté de Médecine, Université Ferhat Abbas, Sétif-1, 19000, Algeria
| | - Khaoula Laouameur
- Laboratoire MCGN, Département de Pharmacie, Faculté de Médecine, Université Ferhat Abbas, Sétif-1, 19000, Algeria; Faculté de Technologie, Département de Génie des procédés, Université Badji Mokhtar Annaba, 23000, Algeria
| | - Nour-Elhouda HammoudI
- Laboratoire de Biopharmacie Et Pharmacotechnie (LBPT), Ferhat Abbas Setif 1 University, Setif, Algeria
| | - Nissren Tamam
- Department of Physics, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
| | - Krishna Kumar Yadav
- Faculty of Science and Technology, Madhyanchal Professional University, Ratibad, Bhopal, 462044, India; Environmental and Atmospheric Sciences Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Nasiriyah, 64001, Iraq.
| | - Boutheina Achouri
- Département de Chimie, Faculté des Sciences, Université Ferhat Abbas, Sétif-1, 19000, Algeria
| | - Abeer Yousef Alyami
- Department of Chemistry, College of Science and Arts, Najran University, PO Box, 1988, Najran, 11001, Saudi Arabia
| | - Ouiem Flilissa
- Laboratoire MCGN, Département de Pharmacie, Faculté de Médecine, Université Ferhat Abbas, Sétif-1, 19000, Algeria
| | - Jari S Algethami
- Department of Chemistry, College of Science and Arts, Najran University, PO Box, 1988, Najran, 11001, Saudi Arabia; Advanced Materials and Nano-Research Centre (AMNRC), Najran University, Najran 11001, Saudi Arabia
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
| | - Byong-Hun Jeon
- Department of Earth Resources & Environmental Engineering, Hanyang University, 222-Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea
| | - Sabah Benboudiaf
- Laboratoire de Biopharmacie Et Pharmacotechnie (LBPT), Ferhat Abbas Setif 1 University, Setif, Algeria
| | - Yacine Benguerba
- Laboratoire de Biopharmacie Et Pharmacotechnie (LBPT), Ferhat Abbas Setif 1 University, Setif, Algeria
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22
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Sailo BL, Liu L, Chauhan S, Girisa S, Hegde M, Liang L, Alqahtani MS, Abbas M, Sethi G, Kunnumakkara AB. Harnessing Sulforaphane Potential as a Chemosensitizing Agent: A Comprehensive Review. Cancers (Basel) 2024; 16:244. [PMID: 38254735 PMCID: PMC10814109 DOI: 10.3390/cancers16020244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/14/2023] [Accepted: 12/20/2023] [Indexed: 01/24/2024] Open
Abstract
Recent advances in oncological research have highlighted the potential of naturally derived compounds in cancer prevention and treatment. Notably, sulforaphane (SFN), an isothiocyanate derived from cruciferous vegetables including broccoli and cabbage, has exhibited potent chemosensitizing capabilities across diverse cancer types of bone, brain, breast, lung, skin, etc. Chemosensitization refers to the enhancement of cancer cell sensitivity to chemotherapy agents, counteracting the chemoresistance often developed by tumor cells. Mechanistically, SFN orchestrates this sensitization by modulating an array of cellular signaling pathways (e.g., Akt/mTOR, NF-κB, Wnt/β-catenin), and regulating the expression and activity of pivotal genes, proteins, and enzymes (e.g., p53, p21, survivin, Bcl-2, caspases). When combined with conventional chemotherapeutic agents, SFN synergistically inhibits cancer cell proliferation, invasion, migration, and metastasis while potentiating drug-induced apoptosis. This positions SFN as a potential adjunct in cancer therapy to augment the efficacy of standard treatments. Ongoing preclinical and clinical investigations aim to further delineate the therapeutic potential of SFN in oncology. This review illuminates the multifaceted role of this phytochemical, emphasizing its potential to enhance the therapeutic efficacy of anti-cancer agents, suggesting its prospective contributions to cancer chemosensitization and management.
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Affiliation(s)
- Bethsebie Lalduhsaki Sailo
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, India; (B.L.S.); (S.C.); (S.G.); (M.H.)
| | - Le Liu
- Department of Gastroenterology, Shenzhen Hospital, Southern Medical University, Shenzhen 518001, China;
| | - Suravi Chauhan
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, India; (B.L.S.); (S.C.); (S.G.); (M.H.)
| | - Sosmitha Girisa
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, India; (B.L.S.); (S.C.); (S.G.); (M.H.)
| | - Mangala Hegde
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, India; (B.L.S.); (S.C.); (S.G.); (M.H.)
| | - Liping Liang
- Guangzhou Key Laboratory of Digestive Diseases, Department of Gastroenterology and Hepatology, Guangzhou Digestive Disease Center, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, China;
| | - Mohammed S. Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia;
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia;
| | - Gautam Sethi
- Department of Pharmacology and NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117600, Singapore
| | - Ajaikumar B. Kunnumakkara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, India; (B.L.S.); (S.C.); (S.G.); (M.H.)
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Chinnasamy P, Sivajothi R, Sathish S, Abbas M, Jeyakrishnan V, Goel R, Alqahtani MS, Loganathan K. Peristaltic transport of Sutterby nanofluid flow in an inclined tapered channel with an artificial neural network model and biomedical engineering application. Sci Rep 2024; 14:555. [PMID: 38177235 PMCID: PMC10767104 DOI: 10.1038/s41598-023-49480-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 12/08/2023] [Indexed: 01/06/2024] Open
Abstract
Modern energy systems are finding new applications for magnetohydrodynamic rheological bio-inspired pumping systems. The incorporation of the electrically conductive qualities of flowing liquids into the biological geometries, rheological behavior, and propulsion processes of these systems was a significant effort. Additional enhancements to transport properties are possible with the use of nanofluids. Due to their several applications in physiology and industry, including urine dynamics, chyme migration in the gastrointestinal system, and the hemodynamics of tiny blood arteries. Peristaltic processes also move spermatozoa in the human reproductive system and embryos in the uterus. The present research examines heat transport in a two-dimensional deformable channel containing magnetic viscoelastic nanofluids by considering all of these factors concurrently, which is vulnerable to peristaltic waves and hall current under ion slip and other situations. Nanofluid rheology makes use of the Sutterby fluid model, while nanoscale effects are modeled using the Buongiorno model. The current study introduces an innovative numerical computing solver utilizing a Multilayer Perceptron feed-forward back-propagation artificial neural network (ANN) with the Levenberg-Marquardt algorithm. Data were collected for testing, certifying, and training the ANN model. In order to make the dimensional PDEs dimensionless, the non-similar variables are employed and calculated by the Homotopy perturbation technique. The effects of developing parameters such as Sutterby fluid parameter, Froude number, thermophoresis, ion-slip parameter, Brownian motion, radiation, Eckert number, and Hall parameter on velocity, temperature, and concentration are demonstrated. The machine learning model chooses data, builds and trains a network, and subsequently assesses its performance using the mean square error metric. Current results declare that the improving Reynolds number tends to increase the pressure rise. Improving the Hall parameter is shown to result in a decrease in velocity. When raising a fluid's parameter, the temperature profile rises.
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Affiliation(s)
- P Chinnasamy
- Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
| | - R Sivajothi
- Department of Management, R L Institute of Management Studies (A Unit of Subbalakshmi Lakshmipathy College of Science), Madurai, Tamil Nadu, India
| | - S Sathish
- Department of Mathematics, School of Science, National Institute of Technology, Tadepalligudem, Andhra Pradesh, India
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - V Jeyakrishnan
- Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India
| | - Rajat Goel
- Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, LE1 7RH, UK
| | - K Loganathan
- Department of Mathematics and Statistics, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
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24
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Zanella MC, Pianca E, Catho G, Obama B, De Kraker MEA, Nguyen A, Chraiti MN, Sobel J, Fortchantre L, Harbarth S, Abbas M, Buetti N. Increased Peripheral Venous Catheter Bloodstream Infections during COVID-19 Pandemic, Switzerland. Emerg Infect Dis 2024; 30:159-162. [PMID: 38063084 PMCID: PMC10756358 DOI: 10.3201/eid3001.230183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2023] Open
Abstract
Studies suggest that central venous catheter bloodstream infections (BSIs) increased during the COVID-19 pandemic. We investigated catheter-related BSIs in Switzerland and found peripheral venous catheter (PVC) BSI incidence increased during 2021-2022 compared with 2020. These findings should raise awareness of PVC-associated BSIs and prompt inclusion of PVC BSIs in surveillance systems.
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Narayan J, Abbas M, Dwivedy SK. Design and validation of a pediatric gait assistance exoskeleton system with fast non-singular terminal sliding mode controller. Med Eng Phys 2024; 123:104080. [PMID: 38365333 DOI: 10.1016/j.medengphy.2023.104080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 11/27/2023] [Accepted: 12/03/2023] [Indexed: 02/18/2024]
Abstract
Existing exoskeletons for pediatric gait assistance have limitations in anthropometric design, structure weight, cost, user safety features, and adaptability to diverse users. Additionally, creating precise models for pediatric rehabilitation is difficult because the rapid anthropometric changes in children result in unknown model parameters. Furthermore, external disruptions, like unpredictable movements and involuntary muscle contractions, add complexity to the control schemes that need to be managed. To overcome these limitations, this study aims to develop an affordable stand-aided lower-limb exoskeleton specifically for pediatric subjects (8-12 years, 25-40 kg, 128-132 cm) in passive-assist mode. The authors modified a previously developed model (LLESv1) for improved rigidity, reduced mass, simplified motor arrangement, variable waist size, and enhanced mobility. A computer-aided design of the new exoskeleton system (LLESv2) is presented. The developed prototype of the exoskeleton appended with a pediatric subject (age: 12 years old, body mass: 40 kg, body height: 132 cm) is presented with real-time hardware architecture. Thereafter, an improved fast non-singular terminal sliding mode (IFNSTSM) control scheme is proposed, incorporating a double exponential reaching law for expedited error convergence and enhanced stability. The Lyapunov stability warrants the control system's performance despite uncertainties and disturbances. In contrast to fast non-singular terminal sliding mode (FNSTSM) control and time-scaling sliding mode (TSSM) control, experimental validation demonstrates the effectiveness of IFNSTSM control by a respective average of 5.39% and 42.1% in tracking desired joint trajectories with minimal and rapid finite time converging errors. Moreover, the exoskeleton with the proposed IFNSTSM control requires significantly lesser control efforts than the exoskeleton using contrast FNSTSM control. The Bland-Altman analysis indicates that although there is a minimal mean difference in variables when employing FNSTSM and IFNSTSM controllers, the latter exhibits significant performance variations as the mean of variables changes. This research contributes to affordable and effective pediatric gait assistance, improving rehabilitation outcomes and enhancing mobility support.
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Affiliation(s)
- Jyotindra Narayan
- Department of Mechanical Engineering, Indian Institute of Technology Guwahati, 781039, Assam, India.
| | - Mohamed Abbas
- Department of Mechanical Engineering, Indian Institute of Technology Guwahati, 781039, Assam, India; Department of Design and Production, Al-Baath University, Homs, Syria.
| | - Santosha K Dwivedy
- Department of Mechanical Engineering, Indian Institute of Technology Guwahati, 781039, Assam, India.
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26
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Sheikh S, Lonetti B, Touche I, Mohammadi A, Li Z, Abbas M. Brownian motion of soft particles near a fluctuating lipid bilayer. J Chem Phys 2023; 159:244903. [PMID: 38149741 DOI: 10.1063/5.0182499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 11/12/2023] [Indexed: 12/28/2023] Open
Abstract
The dynamics of a soft particle suspended in a viscous fluid can be changed by the presence of an elastic boundary. Understanding the mechanisms and dynamics of soft-soft surface interactions can provide valuable insights into many important research fields, including biomedical engineering, soft robotics development, and materials science. This work investigates the anomalous transport properties of a soft nanoparticle near a visco-elastic interface, where the particle consists of a polymer assembly in the form of a micelle and the interface is represented by a lipid bilayer membrane. Mesoscopic simulations using a dissipative particle dynamics model are performed to examine the impact of micelle's proximity to the membrane on its Brownian motion. Two different sizes are considered, which correspond to ≈10-20nm in physical units. The wavelengths typically seen by the largest micelle fall within the range of wavenumbers where the Helfrich model captures fairly well the bilayer mechanical properties. Several independent simulations allowed us to compute the micelle trajectories during an observation time smaller than the diffusive time scale (whose order of magnitude is similar to the membrane relaxation time of the largest wavelengths), this time scale being hardly accessible by experiments. From the probability density function of the micelle normal position with respect to the membrane, it is observed that the position remains close to the starting position during ≈0.05τd (where τd corresponds to the diffusion time), which allowed us to compare the negative excess of mean-square displacement (MSD) to existing theories. In that time range, the MSD exhibits different behaviors along parallel and perpendicular directions. When the micelle is sufficiently close to the bilayer (its initial distance from the bilayer equals approximately twice its gyration radius), the micelle motion becomes quickly subdiffusive in the normal direction. Moreover, the temporal evolution of the micelle MSD excess in the perpendicular direction follows that of a nanoparticle near an elastic membrane. However, in the parallel direction, the MSD excess is rather similar to that of a nanoparticle near a liquid interface.
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Affiliation(s)
- S Sheikh
- Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France
| | - B Lonetti
- IMRCP, UMR5623 CNRS, Université de Toulouse, Toulouse, France
- FR FERMAT, Université de Toulouse, CNRS, INPT, INSA, UPS, Toulouse, France
| | - I Touche
- Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France
| | - A Mohammadi
- Department of Mechanical Engineering, Clemson University, Clemson, South Carolina 29634, USA
| | - Z Li
- Department of Mechanical Engineering, Clemson University, Clemson, South Carolina 29634, USA
| | - M Abbas
- Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France
- FR FERMAT, Université de Toulouse, CNRS, INPT, INSA, UPS, Toulouse, France
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Hussain S, Islam S, Nisar KS, Zahoor Raja MA, Shoaib M, Abbas M, Saleel CA. Cattaneo-Christov heat flow model at mixed impulse stagnation point past a Riga plate: Levenberg-Marquardt backpropagation method. Heliyon 2023; 9:e22765. [PMID: 38144300 PMCID: PMC10746418 DOI: 10.1016/j.heliyon.2023.e22765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 10/18/2023] [Accepted: 11/18/2023] [Indexed: 12/26/2023] Open
Abstract
Applications of artificial intelligence (AI) via soft computing procedures have attracted the attention of researchers due to their effective modeling, simulation procedures, and detailed analysis. In this article, the designing of intelligence computing through a neural network that is backpropagated with the Levenberg-Marquardt method (NN-BLMM) to study the Cattaneo-Christov heat flow model at the mixed impulse stagnation point (CCHFM-MISP) past a Riga plate is investigated. The original model CCHFM-MISP in terms of PDEs is converted into non-linear ODEs through suitable similarity variables. A data set is generated for all scenarios of CCHFM-MISP through Lobatto IIIA numerical solver by varying Hartman number, velocity ratio parameter, inverse Darcy number, mixed impulse variable, non-dimensional constraint, Eckert number, heat generation variable, Prandtl number, thermal relaxation variable. To find the physical impacts of parameters of interest associated with the presented fluidic system CCHFM-MISP, the approximate solution of NN-BLMM is carried out by performing training (80 %), testing (10 %), and validation (10 %), and then the results are equated with the reference data to ensure the perfection of the proposed model. Through MSE, state transition, error histogram, and regression analysis, the outcomes of NN-BLMM are presented and analyzed. The graphical illustration and numerical outcomes confirm the authentication and effectiveness of the solver. Moreover, mean square errors for validation, training and testing data points along with performance measures lie around 10-10 and the solution plots generated through deterministic (Lobatto IIIA) approach and stochastic numerical solver are matching up to 10-6, which surely validate the solver NN-BLMM. The outcomes of M and B on velocity present the similar impacts. The velocity of material particles decreases under D a while, it increases through velocity ratio and magnetic parameters.
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Affiliation(s)
- Saddiqa Hussain
- Department of Mathematics, Abdul Wali Khan University, Mardan, 23200, Khyber Pakhtunkhwa, Pakistan
| | - Saeed Islam
- Department of Mathematics, Abdul Wali Khan University, Mardan, 23200, Khyber Pakhtunkhwa, Pakistan
| | - Kottakkaran Sooppy Nisar
- Department of Mathematics, College of Science and Humanities, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia
- School of Technology, Woxsen University, Hyderabad, 502345, Telangana State, India
| | - Muhammad Asif Zahoor Raja
- Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section .3, Douliou, Yunlin, 64002, Taiwan
| | | | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
| | - C Ahamed Saleel
- Department of Mechanical Engineering, College of Engineering, King Khalid University, Asir-Abha, 61421, Saudi Arabia
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Hussain R, Batool SA, Aizaz A, Abbas M, Ur Rehman MA. Biodegradable Packaging Based on Poly(vinyl Alcohol) and Carboxymethyl Cellulose Films Incorporated with Ascorbic Acid for Food Packaging Applications. ACS Omega 2023; 8:42301-42310. [PMID: 38024767 PMCID: PMC10652830 DOI: 10.1021/acsomega.3c04397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/07/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023]
Abstract
Petroleum-based plastics are used as packaging materials because of their low cost and high availability; however, continuous use of these nondegradable materials especially in the food industry has led to environmental pollution. The present study aimed to synthesize antibacterial and biodegradable films based on natural biopolymers carboxymethyl cellulose (CMC), poly(vinyl alcohol) (PVA), and ascorbic acid (AA) cross-linked in the presence of glutaraldehyde (GA). The films were synthesized in two different concentrations, 60PVA:40CMC:AA and 70PVA:30CMC:AA with a fixed amount of AA. Films with smooth texture and overall uniform thickness were obtained. Fourier transform infrared spectroscopy (FTIR) confirmed the cross-linking between the aldehyde group of GA and hydroxyl of PVA through detection of acetal and ether bridges. The synthesized films were thermally stable in the temperature range of 180-300 °C; however, 70PVA:30CMC:AA showed higher weight loss in this range as compared to the 60PVA:40CMC:AA film. Soil burial test demonstrated that the 60PVA:40CMC:AA film was more degradable (71% at day 15) as compared to the 70PVA:30CMC:AA film (65% at day 15). The films exhibited excellent antimicrobial activity against Gram-positive staphylococcus aureus(inhibition zone of 21 mm) and Gram-negative Escherichia coli (inhibition zone of 15 mm). In comparison, the 60PVA:40CMC:AA film showed better results in terms of high mechanical strength, uniform morphology, higher soil burial degradation, and lower water vapor transmission rate. Therefore, the prepared film could be used as a promising candidate in the food packaging industry.
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Affiliation(s)
- Rabia Hussain
- Department
of Materials Science & Engineering, Institute of Space Technology Islamabad, Islamabad Highway, Islamabad 44000, Pakistan
| | - Syeda Ammara Batool
- Department
of Materials Science & Engineering, Institute of Space Technology Islamabad, Islamabad Highway, Islamabad 44000, Pakistan
| | - Aqsa Aizaz
- Department
of Materials Science & Engineering, Institute of Space Technology Islamabad, Islamabad Highway, Islamabad 44000, Pakistan
| | - Mohamed Abbas
- Electrical
Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
| | - Muhammad Atiq Ur Rehman
- Department
of Materials Science & Engineering, Institute of Space Technology Islamabad, Islamabad Highway, Islamabad 44000, Pakistan
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Hegde M, Girisa S, Devanarayanan TN, Alqahtani MS, Abbas M, Sethi G, Kunnumakkara AB. Network of Extracellular Traps in the Pathogenesis of Sterile Chronic Inflammatory Diseases: Role of Oxidative Stress and Potential Clinical Applications. Antioxid Redox Signal 2023. [PMID: 37725535 DOI: 10.1089/ars.2023.0329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
Significance: Extracellular traps (ETs) represent structured frameworks that comprised DNA embellished with histones and granular proteins extruded by immune cells in response to various stimuli. Immune cells contribute to adverse effects of chronic inflammation via ET generation, promoting the release of nuclear chromatin, reactive oxygen species (ROS), and bioactive proteins into the extracellular matrix. Recent Advances: The occurrence of ET formation has been documented across diverse immune cell types. The excessive production of ROS during the activation of these cells has the potential to initiate substantial DNA damage, culminating in chromosome decondensation. The inflammatory microenvironment fosters ROS and ET generation, impacting tissue microenvironment remodeling. Recent studies reveal ET involvement in sustaining persistent inflammation, promoting angiogenesis, and initiating thrombotic processes. Critical Issues: This review elucidates ET participation in chronic inflammatory disease etiology, detailing ROS-dependent and ROS-independent ET formation mechanisms and their contextual manifestations. It discusses diverse immune cell-derived ETs in the inflammatory milieu and their responses to therapies. Furthermore, the review emphasizes the significance of ETs as potential biomarkers and envisions prophylactic strategies against ET-associated chronic inflammation. Future Directions: Subsequent investigations are warranted to uncover the intricate mechanisms governing the resolution of inflammation through ETs in normal physiological processes. Moreover, a comprehensive understanding of the aberrant pathways driving ET formation in persistent inflammation is imperative. Prospective research endeavors should focus on executing expansive clinical studies to discern the involvement of ETs in both the diagnostic and prognostic facets of inflammatory diseases, thereby shedding light on their prospective utility as biomarkers.
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Affiliation(s)
- Mangala Hegde
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, India
| | - Sosmitha Girisa
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, India
| | - Thulasidharan Nair Devanarayanan
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, United Kingdom
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia
| | - Gautam Sethi
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ajaikumar B Kunnumakkara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, India
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Jakeer S, Basha HT, Reddy SRR, Abbas M, Alqahtani MS, Loganathan K, Anand AV. Entropy analysis on EMHD 3D micropolar tri-hybrid nanofluid flow of solar radiative slendering sheet by a machine learning algorithm. Sci Rep 2023; 13:19168. [PMID: 37932305 PMCID: PMC10628236 DOI: 10.1038/s41598-023-45469-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 10/19/2023] [Indexed: 11/08/2023] Open
Abstract
The purpose of this paper is to analyze the heat transfer behavior of the electromagnetic 3D micropolar tri-hybrid nanofluid flow of a solar radiative slendering sheet with non-Fourier heat flux model. The conversion of solar radiation into thermal energy is an area of significant interest as the demand for renewable heat and power continues to grow. Due to their enhanced ability to promote heat transmission, nanofluids can significantly contribute to enhancing the efficiency of solar-thermal systems. The combination of silicon oil-based silicon (Si), magnesium oxide (MgO), and titanium (Ti) nanofluids has attracted attention for their ability to improve the performance of solar-thermal systems. The present study discloses a new approach for intelligent numerical computing solving, which utilizes an MLP feed-forward back-propagation ANN and the Levenberg-Marquard algorithm. The collection of data was conducted for the purpose of testing, certifying, and training the ANN model. The Bvp4c solver in MATLAB is utilized to solve the nonlinear equations governing the momentum, temperature, skin-friction coefficient, and Nusselt number. The characteristics of numerous dimensionless parameters such as porosity parameter [Formula: see text], vortex viscosity parameter [Formula: see text], electric field parameter [Formula: see text], thermal relaxation time [Formula: see text], heat source/sink parameter, [Formula: see text] thermal radiation parameter [Formula: see text], temperature ratio parameter [Formula: see text],nanoparticle volume fraction [Formula: see text] on Si + MgO + Ti/silicon oil micropolar tri-hybrid nanofluida are analyzed. The ANN model engages in a process of data selection, network construction, training, and evaluation of its effectiveness through the utilization of mean square error. Tables and graphs are used to show how essential parameters affect fluid transport properties. The velocity profile is decreased by higher values of the porosity parameter, whereas the temperature profile is increased. The temperature profile is inversely proportional to higher values of the electric field parameter. The micro-rotation profiles reduced by expanding values vortex viscosity parameter. It has been determined that entropy generation and Bejan number intensifications for enlarged nanoparticle volume fraction.
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Affiliation(s)
- Shaik Jakeer
- School of Technology, The Apollo University, Chittoor, A.P, 517127, India
| | - H Thameem Basha
- Department of Mathematical Sciences, Ulsan National Institute of Science and Technology, Ulsan, South Korea
| | | | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, LE1 7RH, UK
| | - K Loganathan
- Department of Mathematics and Statistics, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
| | - A Vivek Anand
- Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
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Bibi M, Batool SA, Iqbal S, Zaidi SB, Hussain R, Akhtar M, Khan A, Alqahtani MS, Abbas M, Ur Rehman MA. Synthesis and characterization of mesoporous bioactive glass nanoparticles loaded with peganum harmala for bone tissue engineering. Heliyon 2023; 9:e21636. [PMID: 38027746 PMCID: PMC10665746 DOI: 10.1016/j.heliyon.2023.e21636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 10/08/2023] [Accepted: 10/25/2023] [Indexed: 12/01/2023] Open
Abstract
Globally, there is an increase in a number of bone disorders including osteoarthritis (OA), osteomyelitis, bone cancer, and etc., which has led to a demand for bone tissue regeneration. In order to take use of the osteogenic potential of natural herbs, mesoporous bioactive glass nanoparticles (MBGNs) have the ability to deliver therapeutically active chemicals locally. MBGNs influence bioactivity and osteointegration of materials making them suitable for bone tissue engineering (BTE). In the present study, we developed Peganum Harmala (P. harmala) loaded MBGNs (PH-MBGNs) synthesized via modified Stöber process. The MBGNs were analyzed in terms of surface morphology, chemical make-up, amorphous nature, chemical interaction, pore size, and surface area before and after loading with P. harmala. A burst release of drug from PH-MBGNs was observed within 8 h immersion in phosphate buffer saline (PBS). PH-MBGNs effectively prevented Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) from spreading. Furthermore, PH-MBGNs developed a hydroxyapatite (HA) layer in the presence of simulated body fluid (SBF) after 21 days, which confirmed the in-vitro bioactivity of MBGNs. In conclusion, PH-MBGNs synthesized in this work are potential candidate for scaffolding or a constituent in the coatings for BTE applications.
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Affiliation(s)
- Maria Bibi
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, Islamabad 44000, Pakistan
| | - Syeda Ammara Batool
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, Islamabad 44000, Pakistan
| | - Sajid Iqbal
- Department of Nuclear and Quantum Engineering Korea Advanced Institute of Science and Technology (KAIST) 34141, Daejeon, Republic of Korea
| | - Shaher Bano Zaidi
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, Islamabad 44000, Pakistan
| | - Rabia Hussain
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, Islamabad 44000, Pakistan
| | - Memoona Akhtar
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, Islamabad 44000, Pakistan
| | - Ahmad Khan
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, Islamabad 44000, Pakistan
| | - Mohammed S. Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
| | - Muhammad Atiq Ur Rehman
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, Islamabad 44000, Pakistan
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Yan J, Wu X, Li T, Fan W, Abbas M, Qin M, Li R, Liu Z, Liu P. Effect and mechanism of nano-materials on plant resistance to cadmium toxicity: A review. Ecotoxicol Environ Saf 2023; 266:115576. [PMID: 37837699 DOI: 10.1016/j.ecoenv.2023.115576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/11/2023] [Accepted: 10/11/2023] [Indexed: 10/16/2023]
Abstract
Cadmium (Cd), one of the most toxic heavy metals, has been extensively studied by environmental scientists because of its detrimental effects on plants, animals, and humans. Increased industrial activity has led to environmental contamination with Cd. Cadmium can enter the food chain and pose a potential human health risk. Therefore, reducing the accumulation of Cd in plant species and enhancing their detoxification abilities are crucial for remediating heavy metal pollution in contaminated areas. One innovative technique is nano-phytoremediation, which employs nanomaterials ranging from 1 to 100 nm in size to mitigate the accumulation and detrimental effects of Cd on plants. Although extensive research has been conducted on using nanomaterials to mitigate Cd toxicity in plants, it is important to note that the mechanism of action varies depending on factors such as plant species, level of Cd concentration, and type of nanomaterials employed. This review aimed to consolidate and organize existing data, providing a comprehensive overview of the effects and mechanisms of nanomaterials in enhancing plant resistance to Cd. In particular, its deep excavation the mechanisms of detoxification heavy metals of nanomaterials by plants, including regulating Cd uptake and distribution, enhancing antioxidant capacity, regulating gene expression, and regulating physiological metabolism. In addition, this study provides insights into future research directions in this field.
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Affiliation(s)
- Jiyuan Yan
- College of Plant Protection, Shandong Agricultural University, Taian 271018, Shandong province, China
| | - Xiuzhe Wu
- College of Plant Protection, Shandong Agricultural University, Taian 271018, Shandong province, China
| | - Tong Li
- College of Plant Protection, Shandong Agricultural University, Taian 271018, Shandong province, China
| | - Weiru Fan
- College of Plant Protection, Shandong Agricultural University, Taian 271018, Shandong province, China
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
| | - Mengzhan Qin
- College of Plant Protection, Shandong Agricultural University, Taian 271018, Shandong province, China
| | - Runze Li
- College of Plant Protection, Shandong Agricultural University, Taian 271018, Shandong province, China
| | - Zhiguo Liu
- College of Plant Protection, Shandong Agricultural University, Taian 271018, Shandong province, China
| | - Peng Liu
- College of Plant Protection, Shandong Agricultural University, Taian 271018, Shandong province, China.
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Ghabri H, Alqahtani MS, Ben Othman S, Al-Rasheed A, Abbas M, Almubarak HA, Sakli H, Abdelkarim MN. Transfer learning for accurate fetal organ classification from ultrasound images: a potential tool for maternal healthcare providers. Sci Rep 2023; 13:17904. [PMID: 37863944 PMCID: PMC10589237 DOI: 10.1038/s41598-023-44689-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 10/11/2023] [Indexed: 10/22/2023] Open
Abstract
Ultrasound imaging is commonly used to aid in fetal development. It has the advantage of being real-time, low-cost, non-invasive, and easy to use. However, fetal organ detection is a challenging task for obstetricians, it depends on several factors, such as the position of the fetus, the habitus of the mother, and the imaging technique. In addition, image interpretation must be performed by a trained healthcare professional who can take into account all relevant clinical factors. Artificial intelligence is playing an increasingly important role in medical imaging and can help solve many of the challenges associated with fetal organ classification. In this paper, we propose a deep-learning model for automating fetal organ classification from ultrasound images. We trained and tested the model on a dataset of fetal ultrasound images, including two datasets from different regions, and recorded them with different machines to ensure the effective detection of fetal organs. We performed a training process on a labeled dataset with annotations for fetal organs such as the brain, abdomen, femur, and thorax, as well as the maternal cervical part. The model was trained to detect these organs from fetal ultrasound images using a deep convolutional neural network architecture. Following the training process, the model, DenseNet169, was assessed on a separate test dataset. The results were promising, with an accuracy of 99.84%, which is an impressive result. The F1 score was 99.84% and the AUC was 98.95%. Our study showed that the proposed model outperformed traditional methods that relied on the manual interpretation of ultrasound images by experienced clinicians. In addition, it also outperformed other deep learning-based methods that used different network architectures and training strategies. This study may contribute to the development of more accessible and effective maternal health services around the world and improve the health status of mothers and their newborns worldwide.
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Affiliation(s)
- Haifa Ghabri
- MACS Laboratory, National Engineering School of Gabes, University of Gabes, 6029, Gabès, Tunisia
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, LE17RH, UK
| | - Soufiene Ben Othman
- PRINCE Laboratory Research, ISITcom, Hammam Sousse, University of Sousse, Sousse, Tunisia.
| | - Amal Al-Rasheed
- Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - Hassan Ali Almubarak
- Division of Radiology, Department of Medicine, College of Medicine and Surgery, King Khalid University (KKU), Abha, Aseer, Saudi Arabia
| | - Hedi Sakli
- EITA Consulting, 5 Rue Du Chant des Oiseaux, 78360, Montesson, Montesson, France
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Nawaz MH, Aizaz A, Ropari AQ, Shafique H, Imran OB, Minhas BZ, Manzur J, Alqahtani MS, Abbas M, Ur Rehman MA. A study on the effect of bioactive glass and hydroxyapatite-loaded Xanthan dialdehyde-based composite coatings for potential orthopedic applications. Sci Rep 2023; 13:17842. [PMID: 37857655 PMCID: PMC10587085 DOI: 10.1038/s41598-023-44870-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 10/12/2023] [Indexed: 10/21/2023] Open
Abstract
The most important challenge faced in designing orthopedic devices is to control the leaching of ions from the substrate material, and to prevent biofilm formation. Accordingly, the surgical grade stainless steel (316L SS) was electrophoretically deposited with functional composition of biopolymers and bioceramics. The composite coating consisted of: Bioglass (BG), hydroxyapatite (HA), and lawsone, that were loaded into a polymeric matrix of Xanthan Dialdehyde/Chondroitin Sulfate (XDA/CS). The parameters and final composition for electrophoretic deposition were optimized through trial-and-error approach. The composite coating exhibited significant adhesion strength of "4B" (ASTM D3359) with the substrate, suitable wettability of contact angle 48°, and an optimum average surface roughness of 0.32 µm. Thus, promoting proliferation and attachment of bone-forming cells, transcription factors, and proteins. Fourier transformed infrared spectroscopic analysis revealed a strong polymeric network formation between XDA and CS. scanning electron microscopy and energy dispersive X-ray spectroscopy analysis displayed a homogenous surface with invariable dispersion of HA and BG particles. The adhesion, hydrant behavior, and topography of said coatings was optimal to design orthopedic implant devices. The said coatings exhibited a clear inhibition zone of 21.65 mm and 21.04 mm with no bacterial growth against Staphylococcus aureus (S. Aureus) and Escherichia coli (E. Coli) respectively, confirming the antibacterial potential. Furthermore, the crystals related to calcium (Ca) and HA were seen after 28 days of submersion in simulated body fluid. The corrosion current density, of the above-mentioned coating was minimal as compared to the bare 316L SS substrate. The results infer that XDA/CS/BG/HA/lawsone based composite coating can be a candidate to design coatings for orthopedic implant devices.
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Affiliation(s)
- Muhammad Haseeb Nawaz
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, 1, Islamabad Highway, Islamabad, 44000, Pakistan
| | - Aqsa Aizaz
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, 1, Islamabad Highway, Islamabad, 44000, Pakistan
| | - Abdul Qadir Ropari
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, 1, Islamabad Highway, Islamabad, 44000, Pakistan
| | - Huzaifa Shafique
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, 1, Islamabad Highway, Islamabad, 44000, Pakistan
| | - Osama Bin Imran
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, 1, Islamabad Highway, Islamabad, 44000, Pakistan
| | - Badar Zaman Minhas
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, 1, Islamabad Highway, Islamabad, 44000, Pakistan
| | - Jawad Manzur
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, 1, Islamabad Highway, Islamabad, 44000, Pakistan
| | - Mohammed S Alqahtani
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - Muhammad Atiq Ur Rehman
- Department of Materials Science and Engineering, Institute of Space Technology Islamabad, 1, Islamabad Highway, Islamabad, 44000, Pakistan.
- Centre of Excellence in Biomaterials and Tissue Engineering, Government College University Lahore, Lahore, 54000, Pakistan.
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Yogarajan G, Alsubaie N, Rajasekaran G, Revathi T, Alqahtani MS, Abbas M, Alshahrani MM, Soufiene BO. EEG-based epileptic seizure detection using binary dragonfly algorithm and deep neural network. Sci Rep 2023; 13:17710. [PMID: 37853025 PMCID: PMC10584945 DOI: 10.1038/s41598-023-44318-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 10/06/2023] [Indexed: 10/20/2023] Open
Abstract
Electroencephalogram (EEG) is one of the most common methods used for seizure detection as it records the electrical activity of the brain. Symmetry and asymmetry of EEG signals can be used as indicators of epileptic seizures. Normally, EEG signals are symmetrical in nature, with similar patterns on both sides of the brain. However, during a seizure, there may be a sudden increase in the electrical activity in one hemisphere of the brain, causing asymmetry in the EEG signal. In patients with epilepsy, interictal EEG may show asymmetric spikes or sharp waves, indicating the presence of epileptic activity. Therefore, the detection of symmetry/asymmetry in EEG signals can be used as a useful tool in the diagnosis and management of epilepsy. However, it should be noted that EEG findings should always be interpreted in conjunction with the patient's clinical history and other diagnostic tests. In this paper, we propose an EEG-based improved automatic seizure detection system using a Deep neural network (DNN) and Binary dragonfly algorithm (BDFA). The DNN model learns the characteristics of the EEG signals through nine different statistical and Hjorth parameters extracted from various levels of decomposed signals obtained by using the Stationary Wavelet Transform. Next, the extracted features were reduced using the BDFA which helps to train DNN faster and improve its performance. The results show that the extracted features help to differentiate the normal, interictal, and ictal signals effectively with 100% accuracy, sensitivity, specificity, and F1 score with a 13% selected feature subset when compared to the existing approaches.
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Affiliation(s)
- G Yogarajan
- Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, 626005, India
| | - Najah Alsubaie
- Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University (PNU), P.O. Box 84428, 11671, Riyadh, Saudi Arabia
| | - G Rajasekaran
- Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, 626005, India
| | - T Revathi
- Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, 626005, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, University of Leicester, Michael Atiyah Building, Leicester, LE1 7RH, UK
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | | | - Ben Othman Soufiene
- PRINCE Laboratory Research, ISITcom, Hammam Sousse, University of Sousse, Sousse, Tunisia.
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Sajeev A, BharathwajChetty B, Vishwa R, Alqahtani MS, Abbas M, Sethi G, Kunnumakkara AB. Crosstalk between Non-Coding RNAs and Wnt/β-Catenin Signaling in Head and Neck Cancer: Identification of Novel Biomarkers and Therapeutic Agents. Noncoding RNA 2023; 9:63. [PMID: 37888209 PMCID: PMC10610319 DOI: 10.3390/ncrna9050063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/25/2023] [Accepted: 10/08/2023] [Indexed: 10/28/2023] Open
Abstract
Head and neck cancers (HNC) encompass a broad spectrum of neoplastic disorders characterized by significant morbidity and mortality. While contemporary therapeutic interventions offer promise, challenges persist due to tumor recurrence and metastasis. Central to HNC pathogenesis is the aberration in numerous signaling cascades. Prominently, the Wnt signaling pathway has been critically implicated in the etiology of HNC, as supported by a plethora of research. Equally important, variations in the expression of non-coding RNAs (ncRNAs) have been identified to modulate key cancer phenotypes such as cellular proliferation, epithelial-mesenchymal transition, metastatic potential, recurrence, and treatment resistance. This review aims to provide an exhaustive insight into the multifaceted influence of ncRNAs on HNC, with specific emphasis on their interactions with the Wnt/β-catenin (WBC) signaling axis. We further delineate the effect of ncRNAs in either exacerbating or attenuating HNC progression via interference with WBC signaling. An overview of the mechanisms underlying the interplay between ncRNAs and WBC signaling is also presented. In addition, we described the potential of various ncRNAs in enhancing the efficacy of chemotherapeutic and radiotherapeutic modalities. In summary, this assessment posits the potential of ncRNAs as therapeutic agents targeting the WBC signaling pathway in HNC management.
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Affiliation(s)
- Anjana Sajeev
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Guwahati, Guwahati 781039, Assam, India; (A.S.); (B.B.); (R.V.)
| | - Bandari BharathwajChetty
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Guwahati, Guwahati 781039, Assam, India; (A.S.); (B.B.); (R.V.)
| | - Ravichandran Vishwa
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Guwahati, Guwahati 781039, Assam, India; (A.S.); (B.B.); (R.V.)
| | - Mohammed S. Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia;
- BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester LE1 7RH, UK
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia;
| | - Gautam Sethi
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117600, Singapore
| | - Ajaikumar B. Kunnumakkara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Guwahati, Guwahati 781039, Assam, India; (A.S.); (B.B.); (R.V.)
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Sartelli M, Barie PS, Coccolini F, Abbas M, Abbo LM, Abdukhalilova GK, Abraham Y, Abubakar S, Abu-Zidan FM, Adebisi YA, Adamou H, Afandiyeva G, Agastra E, Alfouzan WA, Al-Hasan MN, Ali S, Ali SM, Allaw F, Allwell-Brown G, Amir A, Amponsah OKO, Al Omari A, Ansaloni L, Ansari S, Arauz AB, Augustin G, Awazi B, Azfar M, Bah MSB, Bala M, Banagala ASK, Baral S, Bassetti M, Bavestrello L, Beilman G, Bekele K, Benboubker M, Beović B, Bergamasco MD, Bertagnolio S, Biffl WL, Blot S, Boermeester MA, Bonomo RA, Brink A, Brusaferro S, Butemba J, Caínzos MA, Camacho-Ortiz A, Canton R, Cascio A, Cassini A, Cástro-Sanchez E, Catarci M, Catena R, Chamani-Tabriz L, Chandy SJ, Charani E, Cheadle WG, Chebet D, Chikowe I, Chiara F, Cheng VCC, Chioti A, Cocuz ME, Coimbra R, Cortese F, Cui Y, Czepiel J, Dasic M, de Francisco Serpa N, de Jonge SW, Delibegovic S, Dellinger EP, Demetrashvili Z, De Palma A, De Silva D, De Simone B, De Waele J, Dhingra S, Diaz JJ, Dima C, Dirani N, Dodoo CC, Dorj G, Duane TM, Eckmann C, Egyir B, Elmangory MM, Enani MA, Ergonul O, Escalera-Antezana JP, Escandon K, Ettu AWOO, Fadare JO, Fantoni M, Farahbakhsh M, Faro MP, Ferreres A, Flocco G, Foianini E, Fry DE, Garcia AF, Gerardi C, Ghannam W, Giamarellou H, Glushkova N, Gkiokas G, Goff DA, Gomi H, Gottfredsson M, Griffiths EA, Guerra Gronerth RI, Guirao X, Gupta YK, Halle-Ekane G, Hansen S, Haque M, Hardcastle TC, Hayman DTS, Hecker A, Hell M, Ho VP, Hodonou AM, Isik A, Islam S, Itani KMF, Jaidane N, Jammer I, Jenkins DR, Kamara IF, Kanj SS, Jumbam D, Keikha M, Khanna AK, Khanna S, Kapoor G, Kapoor G, Kariuki S, Khamis F, Khokha V, Kiggundu R, Kiguba R, Kim HB, Kim PK, Kirkpatrick AW, Kluger Y, Ko WC, Kok KYY, Kotecha V, Kouma I, Kovacevic B, Krasniqi J, Krutova M, Kryvoruchko I, Kullar R, Labi KA, Labricciosa FM, Lakoh S, Lakatos B, Lansang MAD, Laxminarayan R, Lee YR, Leone M, Leppaniemi A, Hara GL, Litvin A, Lohsiriwat V, Machain GM, Mahomoodally F, Maier RV, Majumder MAA, Malama S, Manasa J, Manchanda V, Manzano-Nunez R, Martínez-Martínez L, Martin-Loeches I, Marwah S, Maseda E, Mathewos M, Maves RC, McNamara D, Memish Z, Mertz D, Mishra SK, Montravers P, Moro ML, Mossialos E, Motta F, Mudenda S, Mugabi P, Mugisha MJM, Mylonakis E, Napolitano LM, Nathwani D, Nkamba L, Nsutebu EF, O’Connor DB, Ogunsola S, Jensen PØ, Ordoñez JM, Ordoñez CA, Ottolino P, Ouedraogo AS, Paiva JA, Palmieri M, Pan A, Pant N, Panyko A, Paolillo C, Patel J, Pea F, Petrone P, Petrosillo N, Pintar T, Plaudis H, Podda M, Ponce-de-Leon A, Powell SL, Puello-Guerrero A, Pulcini C, Rasa K, Regimbeau JM, Rello J, Retamozo-Palacios MR, Reynolds-Campbell G, Ribeiro J, Rickard J, Rocha-Pereira N, Rosenthal VD, Rossolini GM, Rwegerera GM, Rwigamba M, Sabbatucci M, Saladžinskas Ž, Salama RE, Sali T, Salile SS, Sall I, Kafil HS, Sakakushev BE, Sawyer RG, Scatizzi M, Seni J, Septimus EJ, Sganga G, Shabanzadeh DM, Shelat VG, Shibabaw A, Somville F, Souf S, Stefani S, Tacconelli E, Tan BK, Tattevin P, Rodriguez-Taveras C, Telles JP, Téllez-Almenares O, Tessier J, Thang NT, Timmermann C, Timsit JF, Tochie JN, Tolonen M, Trueba G, Tsioutis C, Tumietto F, Tuon FF, Ulrych J, Uranues S, van Dongen M, van Goor H, Velmahos GC, Vereczkei A, Viaggi B, Viale P, Vila J, Voss A, Vraneš J, Watkins RR, Wanjiru-Korir N, Waworuntu O, Wechsler-Fördös A, Yadgarova K, Yahaya M, Yahya AI, Xiao Y, Zakaria AD, Zakrison TL, Zamora Mesia V, Siquini W, Darzi A, Pagani L, Catena F. Ten golden rules for optimal antibiotic use in hospital settings: the WARNING call to action. World J Emerg Surg 2023; 18:50. [PMID: 37845673 PMCID: PMC10580644 DOI: 10.1186/s13017-023-00518-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 09/23/2023] [Indexed: 10/18/2023] Open
Abstract
Antibiotics are recognized widely for their benefits when used appropriately. However, they are often used inappropriately despite the importance of responsible use within good clinical practice. Effective antibiotic treatment is an essential component of universal healthcare, and it is a global responsibility to ensure appropriate use. Currently, pharmaceutical companies have little incentive to develop new antibiotics due to scientific, regulatory, and financial barriers, further emphasizing the importance of appropriate antibiotic use. To address this issue, the Global Alliance for Infections in Surgery established an international multidisciplinary task force of 295 experts from 115 countries with different backgrounds. The task force developed a position statement called WARNING (Worldwide Antimicrobial Resistance National/International Network Group) aimed at raising awareness of antimicrobial resistance and improving antibiotic prescribing practices worldwide. The statement outlined is 10 axioms, or "golden rules," for the appropriate use of antibiotics that all healthcare workers should consistently adhere in clinical practice.
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Kaplun D, Shpakovskaya I, Sinitca A, Efimenko G, Alqahtani MS, Ghoniem RM, Abbas M, Soufiene BO, Romanov S. Development of a mobile-based intelligent module for identification and tracking of household appliances. Sci Rep 2023; 13:16779. [PMID: 37798359 PMCID: PMC10556102 DOI: 10.1038/s41598-023-42656-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 09/13/2023] [Indexed: 10/07/2023] Open
Abstract
Every year manufacturers of household appliances improve their devices, trying to make everyday life easier for users. New smart devices have many useful features, but not all users can easily cope with the complexity of the devices. One of the main tasks of household appliance manufacturers is to ensure the convenience of using appliances, taking into account the increasing complexity. Therefore, any manufacturer supplies equipment with a short but useful instruction manual. Practice shows that no printed user manual can compare with a demonstration of the device operation by a professional consultant. Instructions for home appliances using augmented reality technology will allow users to get the necessary detailed information about the device in a short period of time. As part of this work, the task of developing an artificial intelligence-based module is being solved. This module consists of developed classification, matching, and tracking submodules that can provide simple and fast visual instructions to users of household appliances in real time. The identification of household appliances is performed with more than 0.9 accuracy, and the tracking inside an unidentified object using the camera of a mobile device is processed with the success score of about 0.68 and frames per second (FPS) about 7. Mobile applications based on the proposed intelligent modules for Android and iOS were developed.
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Affiliation(s)
- Dmitrii Kaplun
- Artificial Intelligence Research Institute, China University of Mining and Technology, 221116, Xuzhou, China
- Department of Automation and Control Processes, Saint Petersburg Electrotechnical University "LETI", Saint Petersburg, Russia, 197022
| | - Irina Shpakovskaya
- Department of Automation and Control Processes, Saint Petersburg Electrotechnical University "LETI", Saint Petersburg, Russia, 197022
| | - Aleksandr Sinitca
- Centre for Digital Telecommunication Technologies, Saint Petersburg Electrotechnical University "LETI", Saint Petersburg, Russia, 197022
| | - George Efimenko
- Department of Automation and Control Processes, Saint Petersburg Electrotechnical University "LETI", Saint Petersburg, Russia, 197022
| | - Malak S Alqahtani
- Computer Engineering Department, College of Computer Science, King Khalid University, 61421, Abha, Saudi Arabia
| | - Rania M Ghoniem
- Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - Ben Othman Soufiene
- PRINCE Laboratory Research, ISITcom, Hammam Sousse, University of Sousse, Sousse, Tunisia.
| | - Sergey Romanov
- Artificial Intelligence Research Institute, China University of Mining and Technology, 221116, Xuzhou, China
- Department of Automation and Control Processes, Saint Petersburg Electrotechnical University "LETI", Saint Petersburg, Russia, 197022
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Souid A, Alsubaie N, Soufiene BO, Alqahtani MS, Abbas M, Jambi LK, Sakli H. Improving diagnosis accuracy with an intelligent image retrieval system for lung pathologies detection: a features extractor approach. Sci Rep 2023; 13:16619. [PMID: 37789095 PMCID: PMC10547797 DOI: 10.1038/s41598-023-42366-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 09/09/2023] [Indexed: 10/05/2023] Open
Abstract
Detecting lung pathologies is critical for precise medical diagnosis. In the realm of diagnostic methods, various approaches, including imaging tests, physical examinations, and laboratory tests, contribute to this process. Of particular note, imaging techniques like X-rays, CT scans, and MRI scans play a pivotal role in identifying lung pathologies with their non-invasive insights. Deep learning, a subset of artificial intelligence, holds significant promise in revolutionizing the detection and diagnosis of lung pathologies. By leveraging expansive datasets, deep learning algorithms autonomously discern intricate patterns and features within medical images, such as chest X-rays and CT scans. These algorithms exhibit an exceptional capacity to recognize subtle markers indicative of lung diseases. Yet, while their potential is evident, inherent limitations persist. The demand for abundant labeled data during training and the susceptibility to data biases challenge their accuracy. To address these formidable challenges, this research introduces a tailored computer-assisted system designed for the automatic retrieval of annotated medical images that share similar content. At its core lies an intelligent deep learning-based features extractor, adept at simplifying the retrieval of analogous images from an extensive chest radiograph database. The crux of our innovation rests upon the fusion of YOLOv5 and EfficientNet within the features extractor module. This strategic fusion synergizes YOLOv5's rapid and efficient object detection capabilities with EfficientNet's proficiency in combating noisy predictions. The result is a distinctive amalgamation that redefines the efficiency and accuracy of features extraction. Through rigorous experimentation conducted on an extensive and diverse dataset, our proposed solution decisively surpasses conventional methodologies. The model's achievement of a mean average precision of 0.488 with a threshold of 0.9 stands as a testament to its effectiveness, overshadowing the results of YOLOv5 + ResNet and EfficientDet, which achieved 0.234 and 0.257 respectively. Furthermore, our model demonstrates a marked precision improvement, attaining a value of 0.864 across all pathologies-a noteworthy leap of approximately 0.352 compared to YOLOv5 + ResNet and EfficientDet. This research presents a significant stride toward enhancing radiologists' workflow efficiency, offering a refined and proficient tool for retrieving analogous annotated medical images.
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Affiliation(s)
- Abdelbaki Souid
- MACS Research Laboratory RL16ES22, National Engineering School of Gabes, Gabes, Tunisia
| | - Najah Alsubaie
- Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
| | - Ben Othman Soufiene
- PRINCE Laboratory Research, ISITcom, University of Sousse, Hammam Sousse, Tunisia.
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, LE17RH, UK
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - Layal K Jambi
- Radiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, 11433, Riyadh, Saudi Arabia
| | - Hedi Sakli
- MACS Research Laboratory RL16ES22, National Engineering School of Gabes, Gabes, Tunisia
- EITA Consulting, 5 Rue Du Chant Des Oiseaux, 78360, Montesson, France
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Hegde M, Kumar A, Girisa S, Alqahtani MS, Abbas M, Goel A, Hui KM, Sethi G, Kunnumakkara AB. Exosomal noncoding RNA-mediated spatiotemporal regulation of lipid metabolism: Implications in immune evasion and chronic inflammation. Cytokine Growth Factor Rev 2023; 73:114-134. [PMID: 37419767 DOI: 10.1016/j.cytogfr.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 06/06/2023] [Accepted: 06/06/2023] [Indexed: 07/09/2023]
Abstract
The hallmark of chronic inflammatory diseases is immune evasion. Successful immune evasion involves numerous mechanisms to suppress both adaptive and innate immune responses. Either direct contact between cells or paracrine signaling triggers these responses. Exosomes are critical drivers of these interactions and exhibit both immunogenic and immune evasion properties during the development and progression of various chronic inflammatory diseases. Exosomes carry diverse molecular cargo, including lipids, proteins, and RNAs that are crucial for immunomodulation. Moreover, recent studies have revealed that exosomes and their cargo-loaded molecules are extensively involved in lipid remodeling and metabolism during immune surveillance and disease. Many studies have also shown the involvement of lipids in controlling immune cell activities and their crucial upstream functions in regulating inflammasome activation, suggesting that any perturbation in lipid metabolism results in abnormal immune responses. Strikingly, the expanded immunometabolic reprogramming capacities of exosomes and their contents provided insights into the novel mechanisms behind the prophylaxis of inflammatory diseases. By summarizing the tremendous therapeutic potential of exosomes, this review emphasizes the role of exosome-derived noncoding RNAs in regulating immune responses through the modulation of lipid metabolism and their promising therapeutic applications.
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Affiliation(s)
- Mangala Hegde
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Aviral Kumar
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Sosmitha Girisa
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia; BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester LE1 7RH, UK
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia; Computers and communications Department College of Engineering Delta University for Science and Technology, Gamasa 35712, Egypt
| | - Akul Goel
- California Institute of Technology (CalTech), Pasadena, CA, USA
| | - Kam Man Hui
- Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 169610, Singapore
| | - Gautam Sethi
- Department of Pharmacology and NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117600, Singapore.
| | - Ajaikumar B Kunnumakkara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati 781039, Assam, India.
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Elkhrachy I, Singh V, Kumar A, Roy A, Abbas M, Gacem A, Alam MW, Yadav KK, Verma D, Jeon BH, Park HK. Use of biogenic silver nanoparticles on the cathode to improve bioelectricity production in microbial fuel cells. Front Chem 2023; 11:1273161. [PMID: 37810584 PMCID: PMC10557073 DOI: 10.3389/fchem.2023.1273161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 08/30/2023] [Indexed: 10/10/2023] Open
Abstract
To date, research on microbial fuel cells (MFCs) has. focused on the production of cost-effective, high-performance electrodes and catalysts. The present study focuses on the synthesis of silver nanoparticles (AgNPs) by Pseudomonas sp. and evaluates their role as an oxygen reduction reaction (ORR) catalyst in an MFC. Biogenic AgNPs were synthesized from Pseudomonas aeruginosa via facile hydrothermal synthesis. The physiochemical characterization of the biogenic AgNPs was conducted via scanning electron microscopy (SEM), X-ray diffraction (XRD), and UV-visible spectrum analysis. SEM micrographs showed a spherical cluster of AgNPs of 20-100 nm in size. The oxygen reduction reaction (ORR) ability of the biogenic AgNPs was studied using cyclic voltammetry (CV). The oxygen reduction peaks were observed at 0.43 V, 0.42 V, 0.410 V, and 0.39 V. Different concentrations of biogenic AgNPs (0.25-1.0 mg/cm2) were used as ORR catalysts at the cathode in the MFC. A steady increase in the power production was observed with increasing concentrations of biogenic AgNPs. Biogenic AgNPs loaded with 1.0 mg/cm2 exhibited the highest power density (PDmax) of 4.70 W/m3, which was approximately 26.30% higher than the PDmax of the sample loaded with 0.25 mg/cm2. The highest COD removal and Coulombic efficiency (CE) were also observed in biogenic AgNPs loaded with 1.0 mg/cm2 (83.8% and 11.7%, respectively). However, the opposite trend was observed in the internal resistance of the MFC. The lowest internal resistance was observed in a 1.0 mg/cm2 loading (87 Ω), which is attributed to the high oxygen reduction kinetics at the surface of the cathode by the biogenic AgNPs. The results of this study conclude that biogenic AgNPs are a cost-effective, high-performance ORR catalyst in MFCs.
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Affiliation(s)
- Ismail Elkhrachy
- Civil Engineering Department, College of Engineering, Najran University, Najran, Saudi Arabia
| | - Vandana Singh
- Department of Microbiology, SSAHS, Sharda University, Greater Noida, Uttar Pradesh, India
| | - Ankit Kumar
- Department of Life Sciences, School of Basic Sciences and Research, Sharda University, Greater Noida, India
| | - Arpita Roy
- Department of Biotechnology, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia
| | - Amel Gacem
- Department of Physics, Faculty of Sciences, University 20 Août 1955, Skikda, Algeria
| | - Mir Waqas Alam
- Department of Physics, College of Science, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Krishna Kumar Yadav
- Faculty of Science and Technology, Madhyanchal Professional University, Bhopal, India
- Environmental and Atmospheric Sciences Research Group, Scientific Research Center, Al-Ayen University, Nasiriyah, Iraq
| | - Devvret Verma
- Department of Biotechnology, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India
| | - Byong-Hun Jeon
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul, Republic of Korea
| | - Hyun-Kyung Park
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
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Ravinder M, Saluja G, Allabun S, Alqahtani MS, Abbas M, Othman M, Soufiene BO. Enhanced brain tumor classification using graph convolutional neural network architecture. Sci Rep 2023; 13:14938. [PMID: 37697022 PMCID: PMC10495443 DOI: 10.1038/s41598-023-41407-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 08/25/2023] [Indexed: 09/13/2023] Open
Abstract
The Brain Tumor presents a highly critical situation concerning the brain, characterized by the uncontrolled growth of an abnormal cell cluster. Early brain tumor detection is essential for accurate diagnosis and effective treatment planning. In this paper, a novel Convolutional Neural Network (CNN) based Graph Neural Network (GNN) model is proposed using the publicly available Brain Tumor dataset from Kaggle to predict whether a person has brain tumor or not and if yes then which type (Meningioma, Pituitary or Glioma). The objective of this research and the proposed models is to provide a solution to the non-consideration of non-Euclidean distances in image data and the inability of conventional models to learn on pixel similarity based upon the pixel proximity. To solve this problem, we have proposed a Graph based Convolutional Neural Network (GCNN) model and it is found that the proposed model solves the problem of considering non-Euclidean distances in images. We aimed at improving brain tumor detection and classification using a novel technique which combines GNN and a 26 layered CNN that takes in a Graph input pre-convolved using Graph Convolution operation. The objective of Graph Convolution is to modify the node features (data linked to each node) by combining information from nearby nodes. A standard pre-computed Adjacency matrix is used, and the input graphs were updated as the averaged sum of local neighbor nodes, which carry the regional information about the tumor. These modified graphs are given as the input matrices to a standard 26 layered CNN with Batch Normalization and Dropout layers intact. Five different networks namely Net-0, Net-1, Net-2, Net-3 and Net-4 are proposed, and it is found that Net-2 outperformed the other networks namely Net-0, Net-1, Net-3 and Net-4. The highest accuracy achieved was 95.01% by Net-2. With its current effectiveness, the model we propose represents a critical alternative for the statistical detection of brain tumors in patients who are suspected of having one.
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Affiliation(s)
- M Ravinder
- CSE, Indira Gandhi Delhi Technical University for Women, New Delhi, India
| | - Garima Saluja
- CSE, Indira Gandhi Delhi Technical University for Women, New Delhi, India
| | - Sarah Allabun
- Department of Medical Education, College of Medicine, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia
- BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, LE1 7RH, UK
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia
| | - Manal Othman
- Department of Medical Education, College of Medicine, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia
| | - Ben Othman Soufiene
- PRINCE Laboratory Research, ISITcom, University of Sousse, Hammam Sousse, Tunisia.
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Hegde M, Girisa S, Naliyadhara N, Kumar A, Alqahtani MS, Abbas M, Mohan CD, Warrier S, Hui KM, Rangappa KS, Sethi G, Kunnumakkara AB. Natural compounds targeting nuclear receptors for effective cancer therapy. Cancer Metastasis Rev 2023; 42:765-822. [PMID: 36482154 DOI: 10.1007/s10555-022-10068-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 11/03/2022] [Indexed: 12/13/2022]
Abstract
Human nuclear receptors (NRs) are a family of forty-eight transcription factors that modulate gene expression both spatially and temporally. Numerous biochemical, physiological, and pathological processes including cell survival, proliferation, differentiation, metabolism, immune modulation, development, reproduction, and aging are extensively orchestrated by different NRs. The involvement of dysregulated NRs and NR-mediated signaling pathways in driving cancer cell hallmarks has been thoroughly investigated. Targeting NRs has been one of the major focuses of drug development strategies for cancer interventions. Interestingly, rapid progress in molecular biology and drug screening reveals that the naturally occurring compounds are promising modern oncology drugs which are free of potentially inevitable repercussions that are associated with synthetic compounds. Therefore, the purpose of this review is to draw our attention to the potential therapeutic effects of various classes of natural compounds that target NRs such as phytochemicals, dietary components, venom constituents, royal jelly-derived compounds, and microbial derivatives in the establishment of novel and safe medications for cancer treatment. This review also emphasizes molecular mechanisms and signaling pathways that are leveraged to promote the anti-cancer effects of these natural compounds. We have also critically reviewed and assessed the advantages and limitations of current preclinical and clinical studies on this subject for cancer prophylaxis. This might subsequently pave the way for new paradigms in the discovery of drugs that target specific cancer types.
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Affiliation(s)
- Mangala Hegde
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Sosmitha Girisa
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Nikunj Naliyadhara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Aviral Kumar
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India
| | - Mohammed S Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha, 61421, Saudi Arabia
- BioImaging Unit, Space Research Centre, University of Leicester, Michael Atiyah Building, Leicester, LE1 7RH, UK
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
- Electronics and Communications Department, College of Engineering, Delta University for Science and Technology, 35712, Gamasa, Egypt
| | | | - Sudha Warrier
- Division of Cancer Stem Cells and Cardiovascular Regeneration, School of Regenerative Medicine, Manipal Academy of Higher Education (MAHE), Bangalore, 560065, India
- Cuor Stem Cellutions Pvt Ltd, Manipal Institute of Regenerative Medicine, Manipal Academy of Higher Education (MAHE), Bangalore, 560065, India
| | - Kam Man Hui
- Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore, 169610, Singapore
| | | | - Gautam Sethi
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117600, Singapore.
| | - Ajaikumar B Kunnumakkara
- Cancer Biology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.
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Abbas M, Ludden S, ElFadaly D, Dahlmann-Noor A. Proof-of-concept evaluation of prototype mobile application for parents/carers monitoring visual acuity in young children using pictorial optotypes. Eur J Ophthalmol 2023; 33:NP142-NP143. [PMID: 37211645 DOI: 10.1177/11206721231177476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Affiliation(s)
- Mohamed Abbas
- Moorfields Eye Hospital, Children's Service, London, UK
| | - Siobhan Ludden
- Moorfields Eye Hospital, Children's Service, London, UK
- Moorfields Biomedical Research Centre, London, UK
- Orthoptic Department, Children's Health Ireland at Temple Street Hospital, Dublin, Ireland
| | - Doaa ElFadaly
- Moorfields Eye Hospital, Children's Service, London, UK
- Department of Ophthalmology, Faculty of Medicine, Minia University, Minia, Egypt
| | - Annegret Dahlmann-Noor
- Moorfields Eye Hospital, Children's Service, London, UK
- Moorfields Biomedical Research Centre, London, UK
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Arulananth TS, Chinnasamy P, Babu JC, Kiran A, Hemalatha J, Abbas M. Edge detection using fast pixel based matching and contours mapping algorithms. PLoS One 2023; 18:e0289823. [PMID: 37566574 PMCID: PMC10420379 DOI: 10.1371/journal.pone.0289823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023] Open
Abstract
Current methods of edge identification were constrained by issues like lighting changes, position disparity, colour changes, and gesture variability, among others. The aforementioned modifications have a significant impact, especially on scaled factors like temporal delay, gradient data, effectiveness in noise, translation, and qualifying edge outlines. It is obvious that an image's borders hold the majority of the shape data. Reducing the amount of time it takes for image identification, increase gradient knowledge of the image, improving efficiency in high noise environments, and pinpointing the precise location of an image are some potential obstacles in recognizing edges. the boundaries of an image stronger and more apparent locate those borders in the image initially, sharpening it by removing any extraneous detail with the use of the proper filters, followed by enhancing the edge-containing areas. The processes involved in recognizing edges are filtering, boosting, recognizing, and localizing. Numerous approaches have been suggested for the previously outlined identification of edges procedures. Edge detection using Fast pixel-based matching and contours mappingmethods are used to overcome the aforementioned restrictions for better picture recognition. In this article, we are introducing the Fast Pixel based matching and contours mapping algorithms to compare the edges in reference and targeted frames using mask-propagation and non-local techniques. Our system resists significant item visual fluctuation as well as copes with obstructions because we incorporate input from both the first and prior frames Improvement in performance in proposed system is discussed in result section, evidences are tabulated and sketched. Mainly detection probabilities and detection time is remarkably reinforced Effective identification of such things were widely useful in fingerprint comparison, medical diagnostics, Smart Cities, production, Cyber Physical Systems, incorporating Artificial Intelligence, and license plate recognition are conceivable applications of this suggested work.
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Affiliation(s)
- T. S. Arulananth
- Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
| | - P. Chinnasamy
- Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
| | - J. Chinna Babu
- Department of Electronics and Communication Engineering, Annamacharya Institute of Technology and Sciences, Rajampet, Andhra Pradesh, India
| | - Ajmeera Kiran
- Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
| | - J. Hemalatha
- Department of CSE, AAA College of Engineering and Technology, Amathur, Tamilnadu, India
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia
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Sathish K, Chinthaginjala R, Kim W, Rajesh A, Corchado JM, Abbas M. Underwater Wireless Sensor Networks with RSSI-Based Advanced Efficiency-Driven Localization and Unprecedented Accuracy. Sensors (Basel) 2023; 23:6973. [PMID: 37571756 PMCID: PMC10422378 DOI: 10.3390/s23156973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 07/31/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023]
Abstract
Deep-sea object localization by underwater acoustic sensor networks is a current research topic in the field of underwater communication and navigation. To find a deep-sea object using underwater wireless sensor networks (UWSNs), the sensors must first detect the signals sent by the object. The sensor readings are then used to approximate the object's position. A lot of parameters influence localization accuracy, including the number and location of sensors, the quality of received signals, and the algorithm used for localization. To determine position, the angle of arrival (AOA), time difference of arrival (TDoA), and received signal strength indicator (RSSI) are used. The UWSN requires precise and efficient localization algorithms because of the changing underwater environment. Time and position are required for sensor data, especially if the sensor is aware of its surroundings. This study describes a critical localization strategy for accomplishing this goal. Using beacon nodes, arrival distance validates sensor localization. We account for the fact that sensor nodes are not in perfect temporal sync and that sound speed changes based on the medium (water, air, etc.) in this section. Our simulations show that our system can achieve high localization accuracy by accounting for temporal synchronisation, measuring mean localization errors, and forecasting their variation. The suggested system localization has a lower mean estimation error (MEE) while using RSSI. This suggests that measurements based on RSSI provide more precision and accuracy during localization.
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Affiliation(s)
- Kaveripakam Sathish
- School of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, India; (K.S.); (R.C.)
| | - Ravikumar Chinthaginjala
- School of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, India; (K.S.); (R.C.)
| | - Wooseong Kim
- Department of Computer Engineering, Gachon University, Seongnam 13120, Republic of Korea;
| | - Anbazhagan Rajesh
- School of Electrical and Electronics Engineering, SASTRA University, Thanjavur 613401, India;
| | - Juan M. Corchado
- BISITE Research Group, University of Salamanca, 37007 Salamanca, Spain;
- Air Institute, IoT Digital Innovation Hub, 37188 Salamanca, Spain
- Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
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M M, K S, Alqahtani MS, Abbas M. Growth, studies of milled and irradiated crystalline samples of DBNT for macro-photonic and electro-mechano functionalities. Heliyon 2023; 9:e19009. [PMID: 37609404 PMCID: PMC10440512 DOI: 10.1016/j.heliyon.2023.e19009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/04/2023] [Accepted: 08/04/2023] [Indexed: 08/24/2023] Open
Abstract
Single crystals of organic type of NLO crystalline material of DBNT - 8, 9-Dimethoxybenzo[b]naphtho [2,3-d] thiophene are proceeded to be grown by slow evaporation procedure and milled to micro scale and irradiated of Co-60 source of 100 Gy, 500 Gy and 5000 Gy for better scope of classification of system of the monoclinic type of DBNT-pure, micro and irradiated ones. The hardness study specifies the reverse indentation size effect (RISE) with work hardening coefficient above two of all DBNT specimen leads to the micro-tribological workings for springs with proper elastic parameters; the transmittance of DBNT of 5 specimens are 321 nm, 323 nm, 341 nm, 351 nm, and 352 nm for macro, micro, 100 Gy, 500 Gy, 5000 Gy. The photonic utility of identity for 3.86 eV and is 3.8629 eV by the transmittance data. The Non Linear Optical - NLO component this of 1.9, 1.94, 1.95, 1.96, 1.99 times that of KDP from which phase matching provision is enabled the influx property for the DBNT specimens is in the order of microns the (110) and (111) indexing represent for display device configuration. The dielectric behaviour of DBNT shows that polarization properly enabled for all categories by electrical performance, the abnormal variation is due to the vacancies created in the molecule by irradiation.
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Affiliation(s)
- Meena M
- Department of Chemistry, R.M.K Engineering College, Kavaraipettai, Thiruvallur, 601 206, Tamilnadu, India
| | - SenthilKannan K
- Department of Physics, Saveetha School of Engineering, SIMATS, Chennai, 602 105, Tamilnadu, India
| | - Mohammed S. Alqahtani
- Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, Abha 61421, Saudi Arabia
- BioImaging Unit, Space Research Centre, Michael Atiyah Building, University of Leicester, Leicester, LE1 7RH, UK
| | - Mohamed Abbas
- Research Center for Advanced Materials Science (RCAMS), King Khalid University, Post Code:9004, Zip code: 61413, Abha, Saudi Arabia
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia
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Guruguntla V, Lal M, Ghantasala GSP, Vidyullatha P, Alqahtani MS, Alsubaie N, Abbas M, Soufiene BO. Ride comfort and segmental vibration transmissibility analysis of an automobile passenger model under whole body vibration. Sci Rep 2023; 13:11619. [PMID: 37464006 DOI: 10.1038/s41598-023-38592-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Accepted: 07/11/2023] [Indexed: 07/20/2023] Open
Abstract
The examination of seated occupants' ride comfort under whole-body vibration is a complex topic that involves multiple factors. Whole-body vibration refers to the mechanical vibration that is transmitted to the entire body through a supporting surface, such as a vehicle seat, when traveling on rough or uneven surfaces. There are several methods to assess ride comfort under whole-body vibration, such as subjective assessments, objective measurements, and mathematical models. Subjective assessments involve asking participants to rate their perceived level of discomfort or satisfaction during the vibration exposure, typically using a numerical scale or questionnaire. Objective measurements include accelerometers or vibration meters that record the actual physical vibrations transmitted to the body during the exposure. Mathematical models use various physiological and biomechanical parameters to predict the level of discomfort based on the vibration data. The examination of seated occupants ride comfort under whole-body vibration has been of great interest for many years. In this paper, a multi-body biomechanical model of a seated occupant with a backrest is proposed to perform ride comfort analysis. The novelty of the present model is that it represents complete passenger by including thighs, legs, and foot which were neglected in the past research. A multi-objective firefly algorithm is developed to evaluate the biomechanical parameters (mass, stiffness and damping) of the proposed model. Based on the optimized parameters, segmental transmissibilities are calculated and compared with experimental readings. The proposed model is then combined with a 7-dofs commercial car model to perform a ride comfort study. The ISO 2631-1:1997 ride comfort standards are used to compare the simulated segmental accelerations. Additionally, the influence of biomechanical parameters on most critical organs is analyzed to improve ride comfort. The outcomes of the analysis reveal that seated occupants perceive maximum vibration in the 3-6 Hz frequency range. To improve seated occupants' ride comfort, automotive designers must concentrate on the pelvis region. The adopted methodology and outcomes are helpful to evaluate protective measures in automobile industries. Furthermore, these procedures may be used to reduce the musculoskeletal disorders in seated occupants.
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Affiliation(s)
- Veeresalingam Guruguntla
- Department of Industrial Design, National Institute of Technology Rourkela, Rourkela, Odisha, India
| | - Mohit Lal
- Department of Industrial Design, National Institute of Technology Rourkela, Rourkela, Odisha, India
| | - G S Pradeep Ghantasala
- Chitkara University Institute of Engineerin and Technology, Chitkara University, Rajpura, Punjab, India
| | - P Vidyullatha
- Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram Guntur, AP, India
| | - Malak S Alqahtani
- Computer Engineering Department, College of Computer Science, King Khalid University, Abha, 61421, Saudi Arabia
| | - Najah Alsubaie
- Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
| | - Mohamed Abbas
- Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
| | - Ben Othman Soufiene
- Prince Laboratory Research, ISITcom, University of Sousse, 4023, Hammam Sousse, Tunisia.
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Rehbar B, Bilal M, Hassan HU, Gabol K, Khan MF, Nadeem K, Ullah S, Taj M, Khan FA, Abbas M, Ibrahim M, Haq IU, Ahmad A, Ríos-Escalante PR. Morphometric analysis and roosting ecology of bat species Pteropus Medius in Mansehra, Khyber Pakhtunkhwa, Pakistan. BRAZ J BIOL 2023; 83:e259039. [PMID: 37466508 DOI: 10.1590/1519-6984.259039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 03/18/2022] [Indexed: 07/20/2023] Open
Abstract
Morphometric measurement and roosting ecology of Pteropus medius were aimed to find out in Mansehra district of KP, Pakistan. Total 3149 numbers of bats were found in eight biological spots visited; Baffa Doraha, Darband, Dadar, Jallu, Hazara University, Garhi Habibullah Chattar Plain and Jabori, in total 299 numbers of different species of trees including; Morus alba, Pinus raxburghi, Eucalyptus camaldulensis, Morus nigra, Grevillea robusta, Brousonetia papyrifera, Platanus orientalis, Ailanthus altissima, Hevea brasiliensis and Populus nigra. Morphometric features were measured and found vary according to sex of the bats. The average wing span, wing`s length from tip of wing to neck, from thumb to tip of wing and the body`s length from head and claws were recorded to be 102.98 cm, 49.07cm, 28.7 cm and 22.78 cm respectively in males while 93.67 cm, 44.83cm, 24.78cm and 22.78 cm respectively in female bats. Mean circumference of the body including wings and without wing were measured as 22.78 cm and 17.29 cm in males and that of female were 20.07 cm and 16.9 cm. Average length of thumb 3.64 cm, ear`s length 3.1 cm, snout 5.62cm, eye length were 1.07 cm for both sexes and length between the feet in extended position were16.3 cm. Generally different measurement of males bodies were found to be greater than female such as mean body surface area, mass, volume and pressure were found to be 2691.79 cm2, 855.7gm,1236.4 ml and 295.77 dyne/ c m 3 for male and 2576.46 cm2, 852.71gm,1207 ml and 290.2 dyne/ c m 3 respectively for female. While weight and density for both males and females bats were same with mean of 8.59 newton and 0.701 g/m3. Findings of current reports can add valued information in literature about bats, which can be used for species identification and conservation.
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Affiliation(s)
- B Rehbar
- Hazara University Mansehra, Department of Zoology, Mansehra, Pakistan
| | - M Bilal
- Government College University Lahore, Department of Zoology, Lahore, Pakistan
| | - H U Hassan
- University of Karachi, Department of Zoology, Karachi, Pakistan
- Ministry of National Food Security and Research, Fisheries Development Board, Islamabad, Pakistan
| | - K Gabol
- University of Karachi, Department of Zoology, Karachi, Pakistan
| | - M F Khan
- Hazara University Mansehra, Department of Zoology, Mansehra, Pakistan
| | - K Nadeem
- University of Karachi, Department of Zoology, Karachi, Pakistan
| | - S Ullah
- Hazara University Mansehra, Department of Zoology, Mansehra, Pakistan
| | - M Taj
- Degree College Gulabad Adenzai, Department of Environmental Sciences, KPK, Pakistan
| | - F A Khan
- Hazara University Mansehra, Department of Zoology, Mansehra, Pakistan
| | - M Abbas
- Quaid-i- Azam University, Department of Zoology, Islamabad, Pakistan
| | - M Ibrahim
- University of Karachi, Department of Zoology, Karachi, Pakistan
| | - I U Haq
- Hazara University Mansehra, Department of Zoology, Mansehra, Pakistan
| | - A Ahmad
- Islamia College Peshawar, Department of Zoology, Peshawar, KPK, Pakistan
| | - P R Ríos-Escalante
- Universidad Católica de Temuco, Facultad de Recursos Naturales, Departamento de Ciencias Biológicas y Químicas, Temuco, Chile
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Knapp P, Moe-Byrne T, Martin-Kerry J, Sheridan R, Roche J, Coleman E, Bower P, Higgins S, Stones C, Graffy J, Preston J, Gamble C, Young B, Perry D, Dahlmann-Noor A, Abbas M, Khandelwal P, Ludden S, Azuara-Blanco A, McConnell E, Mandall N, Lawson A, Rogers CA, Smartt HJM, Heys R, Stones SR, Taylor DH, Ainsworth S, Ainsworth J. Providing multimedia information to children and young people increases recruitment to trials: pre-planned meta-analysis of SWATs. BMC Med 2023; 21:244. [PMID: 37403173 PMCID: PMC10320935 DOI: 10.1186/s12916-023-02936-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 06/12/2023] [Indexed: 07/06/2023] Open
Abstract
BACKGROUND Randomised controlled trials are often beset by problems with poor recruitment and retention. Information to support decisions on trial participation is usually provided as printed participant information sheets (PIS), which are often long, technical, and unappealing. Multimedia information (MMI), including animations and videos, may be a valuable alternative or complement to a PIS. The Trials Engagement in Children and Adolescents (TRECA) study compared MMI to PIS to investigate the effects on participant recruitment, retention, and quality of decision-making. METHODS We undertook six SWATs (Study Within A Trial) within a series of host trials recruiting children and young people. Potential participants in the host trials were randomly allocated to receive MMI-only, PIS-only, or combined MMI + PIS. We recorded the rates of recruitment and retention (varying between 6 and 26 weeks post-randomisation) in each host trial. Potential participants approached about each host trial were asked to complete a nine-item Decision-Making Questionnaire (DMQ) to indicate their evaluation of the information and their reasons for participation/non-participation. Odds ratios were calculated and combined in a meta-analysis. RESULTS Data from 3/6 SWATs for which it was possible were combined in a meta-analysis (n = 1758). Potential participants allocated to MMI-only were more likely to be recruited to the host trial than those allocated to PIS-only (OR 1.54; 95% CI 1.05, 2.28; p = 0.03). Those allocated to combined MMI + PIS compared to PIS-only were no more likely to be recruited to the host trial (OR = 0.89; 95% CI 0.53, 1.50; p = 0.67). Providing MMI rather than PIS did not impact on DMQ scores. Once children and young people had been recruited to host trials, their trial retention rates did not differ according to intervention allocation. CONCLUSIONS Providing MMI-only increased the trial recruitment rate compared to PIS-only but did not affect DMQ scores. Combined MMI + PIS instead of PIS had no effect on recruitment or retention. MMIs are a useful tool for trial recruitment in children and young people, and they could reduce trial recruitment periods.
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Affiliation(s)
- Peter Knapp
- Department of Health Sciences & the Hull York Medical School, University of York, York, UK.
| | | | | | | | - Jenny Roche
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - Elizabeth Coleman
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - Peter Bower
- Centre for Primary Care, University of Manchester, Manchester, UK
| | | | | | | | - Jenny Preston
- Institute of Child Health, University of Liverpool, Liverpool, UK
| | - Carrol Gamble
- Department of Biostatistics, University of Liverpool, Liverpool, UK
| | - Bridget Young
- Department of Psychology, University of Liverpool, Liverpool, UK
| | - Daniel Perry
- Nuffield Department of Orthopaedics, University of Oxford, Oxford, UK
| | | | - Mohamed Abbas
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | | | | | | | | | | | - Anna Lawson
- Clinical Trials Unit, University of Birmingham, Birmingham, UK
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