Exploration of novel hydroxamate zinc binding group inhibitors against HDAC-1-3 enzymes by AI-based virtual screening: atomistic insights from steered molecular dynamics

Overexpression of histone deacetylase (HDAC) enzymes is linked to a wide variety of illnesses, including malignancies and neurological disorders, which makes HDAC inhibitors potentially therapeutic. However, most HDAC inhibitors lack subclass or isoform selectivity, which can be dangerous. Featuring both enhanced selectivity and toxicity profiles, slow-binding HDAC inhibitors offer promising treatment options for a variety of disorders. Diseases like cardiac, neurodegenerative disorders and diabetes are mainly associated with the HDAC1, HDAC2 and HDAC3 enzymes. The AI-based virtual screening tool PyRMD is implemented to identify the potential inhibitors from ∼2 million compounds. Based on the IC50 values, the top 10 compounds were selected for molecular docking. From the docking and ADMET study, the top-ranked three compounds were selected for molecular dynamics (MD) simulations. Further, to get more insights into the binding/unbinding mechanism of the ligand, we have employed the steered molecular dynamics (SMD) simulations. This study assists in developing Amber force field parameters for the HDAC1, HDAC2 and HDAC3 proteins and sheds light on the discovery of a potent drug. Our study suggests that hydroxamic acid derivative (i.e. referred to as Comp-1, CHEMBL600072) is the potential inhibitor for the series of HDAC-related diseases.Communicated by Ramaswamy H. Sarma.

Non-dysraphic extramedullary intradural spinal lipoma with neurocutaneous melanocytosis

INTRODUCTION

Intradural spinal lipomas are very rare and constitute less than 1% of all spinal tumors. Such tumors are usually associated with spinal dysraphism and occur mostly in the lumbosacral or cervical region. Intradural spinal lipomas tends to be intramedullary or subpial. Meningeal melanocytoma is further rarer cases that comprise less than 0.1% of cases. These usually occur in the fifth or fifth decade and chances of malignant transformation are high.

CASE REPORT

Here, we report an extremely rare case (first to the best of our knowledge) of a 9 years female child who presented to us with rapid progressing paraparesis. She was operated and found to have an intradural purely extramedullary spinal lipoma without spinal dysraphism. Moreover, she had melanin pigment deposits all over her meninges which is further rare. On presentation, the patient was bedridden but after surgery, the patient improved and could walk without support.

CONCLUSIONS

To the best of our knowledge, this is the first case of spinal cord lipoma in dorsal location along with melanin pigments in the meninges. We discuss the pathogenesis, presentation and management of intradural extramedullary spinal lipomas.

A novel WGF-LN based edge driven intelligence for wearable devices in human activity recognition

Human activity recognition (HAR) is one of the key applications of health monitoring that requires continuous use of wearable devices to track daily activities. The most efficient supervised machine learning (ML)-based approaches for predicting human activity are based on a continuous stream of sensor data. Sensor data analysis for human activity recognition using conventional algorithms and deep learning (DL) models shows promising results, but evaluating their ambiguity in decision-making is still challenging. In order to solve these issues, the paper proposes a novel Wasserstein gradient flow legonet WGF-LN-based human activity recognition system. At first, the input data is pre-processed. From the pre-processed data, the features are extracted using Haar Wavelet mother- Symlet wavelet coefficient scattering feature extraction (HS-WSFE). After that, the interest features are selected from the extracted features using (Binomial Distribution integrated-Golden Eagle Optimization) BD-GEO. The important features are then post-processed using the scatter plot matrix method. Obtained post-processing features are finally given into the WGF-LN for classifying human activities. From these experiments, the results can be obtained and showed the efficacy of the proposed model.

Entropy Study of Hybrid (Al2O3–Cu/H2O) Nano-Fluid in a Cylindrical Cavity with Wavy Sides Under the Effect of a Parallel Magnetic Field

The convection and entropy of a hybrid nanofluid were investigated in a cylindrical chamber. Inside the cylinder, we have added a rectangular fin with a temperature of Th. Tc applied on the right waving wall. Insulation installed on both the top and bottom walls. The induction of a steady magnetic field is included in this research. Governing equations are resolved by Galerkin finite element method (GFEM) and it’s utilized to treat the controlling equations obtained by giving different characteristics of fluid like The porosity, cylinder rayon and the size of the nano particles with Rayleigh, Hartmann and Darcy numbers. This information is crucial for controlling both fluid flow and the heat transfer rate for normal convection. The results of the solution demonstrate that Da influences the entropy and leads to a decrease in the generation of entropy. The Nusselt mean differs in a straight line with the dynamic. The domain of flows through the sublime modes while it acts contrary with the magnetic force. The use of a rectangular fin inside a cylindrical enclosure rather than traditional ones, as well as the evaluation of its optimal dimensions, was novel in this paper. Moreover, the novelty of this study is that it fills a research gap by looking into the effect of the specific shape of the walls of the porous chamber on heat flux.

An Efficient Hybrid Job Scheduling Optimization (EHJSO) approach to enhance resource search using Cuckoo and Grey Wolf Job Optimization for cloud environment

Cloud computing has now evolved as an unavoidable technology in the fields of finance, education, internet business, and nearly all organisations. The cloud resources are practically accessible to cloud users over the internet to accomplish the desired task of the cloud users. The effectiveness and efficacy of cloud computing services depend on the tasks that the cloud users submit and the time taken to complete the task as well. By optimising resource allocation and utilisation, task scheduling is crucial to enhancing the effectiveness and performance of a cloud system. In this context, cloud computing offers a wide range of advantages, such as cost savings, security, flexibility, mobility, quality control, disaster recovery, automatic software upgrades, and sustainability. According to a recent research survey, more and more tech-savvy companies and industry executives are recognize and utilize the advantages of the Cloud computing. Hence, as the number of users of the Cloud increases, so did the need to regulate the resource allocation as well. However, the scheduling of jobs in the cloud necessitates a smart and fast algorithm that can discover the resources that are accessible and schedule the jobs that are requested by different users. Consequently, for better resource allocation and job scheduling, a fast, efficient, tolerable job scheduling algorithm is required. Efficient Hybrid Job Scheduling Optimization (EHJSO) utilises Cuckoo Search Optimization and Grey Wolf Job Optimization (GWO). Due to some cuckoo species' obligate brood parasitism (laying eggs in other species' nests), the Cuckoo search optimization approach was developed. Grey wolf optimization (GWO) is a population-oriented AI system inspired by grey wolf social structure and hunting strategies. Make span, computation time, fitness, iteration-based performance, and success rate were utilised to compare previous studies. Experiments show that the recommended method is superior.

Metaheuristics with Deep Transfer Learning Enabled Detection and classification model for industrial waste management

Rapid industrialization has led to the generation of a considerable amount of waste, both solid and liquid, in industrial fields like food processing, sugar, pulp, sago or starch, dairies, paper, fruit processing, poultry, distilleries, slaughterhouses, tanneries, and so forth. Despite the requirement for pollution control measures, the waste is discharged into water bodies or generally dumped on land without appropriate management, and thus becomes a significant source of environmental pollution and health hazards. The most essential step of waste management is the segregation of waste into the various elements, and normally this process is done automatically by hand-picking. A smart waste material classification technique is required to simplify the procedures. Therefore, the study presents a new Metaheuristics with Deep Transfer Learning Enabled Detection and Classification Methods for Industrial Waste Management (MDTLDC-IWM) method. The presented MDTLDC-IWM model facilitates the use of DL models for the identification and classification of waste materials in the IWM system. To accomplish this, the presented MDTLDC-IWM model follows two key phases, namely waste object recognition and waste object classification. At the initial stage, the YOLO-v5 object detector with the Harris Hawks Optimization (HHO) algorithm is used. Next, in the second stage, the stacked sparse auto encoder (SSAE) model is applied for the waste object classification method. The SSAE model is effectively optimized using the Aquila Optimization Algorithm (AOA), which helps to accomplish maximum classification of waste objects. The MDTLDC-IWM model has achieved a precision of 96.84 percent and an F score of 96.71 percent. A benchmark dataset is used to test the experimental validity of the presented MDTLDC-IWM model. Extensive comparative analysis reported the enhanced performance of the MDTLDC-IWM model over recent state-of-the-art approaches.

Finite Element Methodology of Hybridity Nanofluid Flowing in Diverse Wavy Sides of Penetrable Cylindrical Chamber under a Parallel Magnetic Field with Entropy Generation Analysis

In a cylindrical cavity, the convection and entropy of the hybrid nanofluid were studied. We have introduced a rectangular fin inside the cylinder; the fin temperature is at Th. The right waving wall is cooled to Tc. The upper and lower walls are insulated. This study contains the induction of a constant magnetic field. The Galerkin finite element method (GFEM) is utilized to treat the controlling equations obtained by giving Rayleigh number values between Ra (10³-10⁶) and Hartmann number ratio Ha (0, 25, 50, 100) and Darcy ranging between Da (10^-2-10^-5) and the porosity ratio is ε (0.2, 0.4, 0.6, 0.8), and the size of the nanoparticles is ϕ (0.02, 0.04, 0.06, 0.08). The range is essential for controlling both fluid flow and the heat transport rate for normal convection. The outcomes show how Da affects entropy and leads to a decline in entropy development. The dynamic and Nusselt mean diverge in a straight line. The domain acts in opposition to the magnetic force while flowing. Highest entropy-forming situations were found in higher amounts of Ra, Da, and initial values of Ha. Parameters like additive nanoparticles (ϕ) and porosity (ε) exert diagonal dominant trends with their improving values.

Cloud-based blockchain technology to identify counterfeits

Multi-stakeholder and organizational involvement is an integral part of the medicine supply chain. Keeping track of the activities associated with medical products is difficult when the system is complex. Their complexity limits transparency and data provenance. Deficiencies within existing supply chains result in the counterfeiting of drugs, illegal imports, and inefficient operations. Due to these limitations, product integrity is compromised, resulting in product wastage. Visibility of the entire product supply chain is crucial for the pharmaceutical industry in terms of product safety and reduction of manufacturing costs. The Cloud-based Blockchain-powered architecture of the system provides a platform for addressing the need of pharma-material traceability, data storage, privacy of data, and quality assurance. This framework comprises of the identification of activities through tagging, information sharing in a secure environment; cloud-based storage using an off-chain Interplanetary File System (IPFS) and an on-chain couch DB; and access to this information that is controlled by the system's regulator. Electronic drug records will be accessed via a smart contract in Hyperledger Blockchain. The system assists in identifying false and cross-border products through the manufacturer and country of origin. A scan will identify counterfeit medications, showing that they are unauthorized products which may pose a risk to patients. Our experiments demonstrated the efficiency and usability of the design platform. Finally, we benchmarked the system using Hyperledger Caliper.

Heat flow saturate of Ag/MgO-water hybrid nanofluid in heated trigonal enclosure with rotate cylindrical cavity by using Galerkin finite element

MHD Natural convection, which is one of the principal types of convective heat transfer in numerous research of heat exchangers and geothermal energy systems, as well as nanofluids and hybrid nanofluids. This work focuses on the investigation of Natural convective heat transfer evaluation inside a porous triangular cavity filled with silver-magnesium oxide/water hybrid nanofluid [H₂O/Ag-MgO]^hnf under a consistent magnetic field. The laminar and incompressible nanofluid flow is taken to account while Darcy-Forchheimer model takes account of the advection inertia effect in the porous sheet. Controlled equations of the work have been approached nondimensional and resolved by Galerkin finite element technique. The numerical analyses were carried out by varying the Darcy, Hartmann, and Rayleigh numbers, porosity, and characteristics of solid volume fraction and flow fields. Further, the findings are reported in streamlines, isotherms and Nusselt numbers. For this work, the parametric impact may be categorized into two groups. One of them has an effect on the structural factors such as triangular form and scale on the physical characteristics of the important outputs such as fluidity and thermal transfer rates. The significant findings are the parameters like Rayleigh and slightly supported by Hartmann along with Darcy number, minimally assists by solid-particle size and rotating factor as clockwise assists the cooler flow at the center and anticlockwise direction assists the warmer flow. Clear raise in heat transporting rate can be obtained for increasing solid-particle size.

Fragmentation dynamics of CH3Clq+ (q = 2,3): theory and experiment

We use advanced theoretical treatments and energetic ion collision induced fragmentation to investigate the unimolecular decomposition dynamics of CH3Clq+ (q = 2,3) ions, where both obvious bond breaking and bond rearrangement products are observed.

Identification of a Grotthuss proton hopping mechanism at protonated polyhedral oligomeric silsesquioxane (POSS) - water interface

The attachment and dissociation of a proton from a water molecule and the proton transfers at solid-liquid interfaces play vital roles in numerous biological, chemical processes and for the development of sustainable functional materials for energy harvesting and conversion applications. Using first-principles computational methodologies, we investigated the protonated forms of polyhedral oligomeric silsesquioxane (POSS-H⁺) interacting with water clusters (W_n, where n = 1-6) as a model to quantify the proton conducting and localization ability at solid-liquid interfaces. Successive addition of explicit water molecules to POSS-H⁺ shows that the assistance of at least three water molecules is required to dissociate the proton from POSS with the formation of an Eigen cation (H₉O₄⁺), whereas the presence of a fourth water molecule highly favors the formation of a Zundel ion (H₅O₂⁺). Reaction pathway and energy barrier analysis reveal that the formation of the Eigen cation requires significantly higher energy than the Zundel features. This confirms that the Zundel ion is destabilized and promptly converts in to Eigen ion at this interface. Moreover, we identified a Grotthuss-type mechanism for the proton transfer through a water chain close to the interface, where symmetrical and unsymmetrical arrangements of water molecules around H⁺ of protonated POSS-H⁺ are involved in the conduction of proton through water wires where successive Eigen-to-Zundel and Zundel-to-Eigen transformations are observed in quick succession.

Post-Traumatic Subfrontal with Orbital Extradural Hematoma and Proptosis (Unusual Presentation Managed with Needle Aspiration) A Case Report with Review of Literature

Extradural hematoma (EDH) is a common intracranial pathology following motor vehicle accidents, comprising approximately 0.2 to 6% of all head injuries. The association of EDH with subperiosteal intraorbital hematomas is rarely reported. We report a case of a traumatic subfrontal EDH with subperiosteal hematoma (orbital EDH) successfully treated with needle aspiration, demonstrating that in appropriate patients, needle aspiration can result in the resolution of symptoms without an invasive procedure.

Evaluation through outbreak simulation exercise points to the need for considerable improvement in the capacity of peripheral health workers for outbreak detection and response, South India, 2018

Background:

Outbreaks are emergencies, requiring skilled peripheral health workers in the health system. Given the lack of evaluation of the knowledge and practices of peripheral health workers regarding outbreak investigation and response, we surveyed to estimate the performance level of health workers in outbreak detection and response.

Methods:

We developed a simulation exercise based on hepatitis and fever outbreak to ascertain knowledge and skills in outbreak detection and response. Following a pilot test and with inputs from public health experts, we finalized the instrument in the local language. The simulation exercise was self-administered among all health inspectors (HI) (n = 39) from a district in South India responsible for outbreak investigation. We collected sociodemographic factors, training, education level, awareness about the surveillance program, outbreak triggers, and prior experience with an outbreak. We assigned a score of 0.25 for each correct response (range 0 to 10.75). We categorized a score of <75% as poor performance. The academic ethics committee of ICMR-National Institute of Epidemiology approved the protocol.

Results:

All the HIs were male except one. Median age is 51 years (Range: 37.5–54). The median years of service is 12 (range 5.3 to 23). Twenty-two received training, and fifteen had prior exposure to an outbreak in the previous year. The overall performance of HIs was poor, with the highest mark being below 40%. The median score in the section of history taking was 0.25 [interquartile range (IQR) 0–0.5], 31% (n = 12) scored zero. The median score in the section of data entry, analysis, and outbreak detection was 0.25 (0–0.25), 28% (n = 11) scored zero. The median score in the section of outbreak response was 0.75 (IQR 0.75–1.13), 5% (n = 2) scored zero.

Conclusion:

The HIs performed poorly in outbreak preparedness and response. We recommend improving their performance through field-epidemiology training and regular field or facility-based evaluations.

Machine learning augmented near-infrared spectroscopy: In vivo follow-up of cartilage defects

OBJECTIVE

To assess the potential of near-infrared spectroscopy (NIRS) for in vivo arthroscopic monitoring of cartilage defects.

METHOD

Sharp and blunt cartilage grooves were induced in the radiocarpal and intercarpal joints of Shetland ponies and monitored at baseline (0 weeks) and at three follow-up timepoints (11, 23, and 39 weeks) by measuring near-infrared spectra in vivo at and around the grooves. The animals were sacrificed after 39 weeks and the joints were harvested. Spectra were reacquired ex vivo to ensure reliability of in vivo measurements and for reference analyses. Additionally, cartilage thickness and instantaneous modulus were determined via computed tomography and mechanical testing, respectively. The relationship between the ex vivo spectra and cartilage reference properties was determined using convolutional neural network.

RESULTS

In an independent test set, the trained networks yielded significant correlations for cartilage thickness (ρ = 0.473) and instantaneous modulus (ρ = 0.498). These networks were used to predict the reference properties at baseline and at follow-up time points. In the radiocarpal joint, cartilage thickness increased significantly with both groove types after baseline and remained swollen. Additionally, at 39 weeks, a significant difference was observed in cartilage thickness between controls and sharp grooves. For the instantaneous modulus, a significant decrease was observed with both groove types in the radiocarpal joint from baseline to 23 and 39 weeks.

CONCLUSION

NIRS combined with machine learning enabled determination of cartilage properties in vivo, thereby providing longitudinal evaluation of post-intervention injury development. Additionally, radiocarpal joints were found more vulnerable to cartilage degeneration after damage than intercarpal joints.

Cytomorphometric Study of Changes in Buccal Mucosal Cells in Alcoholics

Background:

Chronic alcohol consumption carries a high risk for oral and pharyngeal cancers among persons who have never smoked. Excessive alcohol consumption displays cytogenetic changes in oral mucosa cells. Cytomorphometric analysis of oral mucosal cells helps in the early detection of cytomorphological transformations in alcoholics before and after the onset of carcinoma.

Materials and Methods:

A prospective, hospital-based, comparative study was done after written informed consent. Smears were obtained from the clinically normal buccal mucosa of 102 randomly selected alcoholic patients attending the medicine outpatient department aged above 25 years who consumed a minimum of 45 ml alcohol per day for at least 10 years and of 102 nonalcoholics as control. The slides were immediately fixed in absolute methanol and stained by the Papanicolaou (Pap) staining technique. PAP-stained smears were examined under the light microscope. Using the image J 1.47 image analysis software, a morphometric analysis of around 50 cells/case was done.

Results:

A statistically significant increase in mean cytoplasmic area (P < 0.001), mean nuclear area (P < 0.01), and cell-to-nuclear parameter ratio (P < 0.001) was seen in the alcohol group in comparison with the control group.

Conclusion:

Prolonged consumption of alcohol produces cytomorphometric changes in buccal mucosal cells before the onset of premalignant lesions.

Near-infrared spectroscopy enables quantitative evaluation of human cartilage biomechanical properties during arthroscopy

OBJECTIVE

To investigate the feasibility of near-infrared (NIR) spectroscopy (NIRS) for evaluation of human articular cartilage biomechanical properties during arthroscopy.

DESIGN

A novel arthroscopic NIRS probe designed in our research group was utilized by an experienced orthopedic surgeon to measure NIR spectra from articular cartilage of human cadaver knee joints (ex vivo, n = 18) at several measurement locations during an arthroscopic surgery. Osteochondral samples (n = 265) were extracted from the measurement sites for reference analysis. NIR spectra were remeasured in a controlled laboratory environment (in vitro), after which the corresponding cartilage thickness and biomechanical properties were determined. Hybrid multivariate regression models based on principal component analysis and linear mixed effects modeling (PCA-LME) were utilized to relate cartilage in vitro spectra and biomechanical properties, as well as to account for the spatial dependency. Additionally, a k-nearest neighbors (kNN) classifier was employed to reject outlying ex vivo NIR spectra resulting from a non-optimal probe-cartilage contact. Model performance was evaluated for both in vitro and ex vivo NIR spectra via Spearman's rank correlation (ρ) and the ratio of performance to interquartile range (RPIQ).

RESULTS

Regression models accurately predicted cartilage thickness and biomechanical properties from in vitro NIR spectra (Model: 0.77 ≤ ρ ≤ 0.87, 2.03 ≤ RPIQ ≤ 3.0; Validation: 0.74 ≤ ρ ≤ 0.84, 1.87 ≤ RPIQ ≤ 2.90). When predicting cartilage properties from ex vivo NIR spectra (0.33 ≤ ρ ≤ 0.57 and 1.02 ≤ RPIQ ≤ 2.14), a kNN classifier enhanced the accuracy of predictions (0.52 ≤ ρ ≤ 0.87 and 1.06 ≤ RPIQ ≤ 1.88).

CONCLUSION

Arthroscopic NIRS could substantially enhance identification of damaged cartilage by enabling quantitative evaluation of cartilage biomechanical properties. The results demonstrate the capacity of NIRS in clinical applications.

Comparison of articular manifestations of mixed connective tissue disease and systemic lupus erythematosus on clinical examination and musculoskeletal ultrasound

BACKGROUND

Polyarthritis is common to both mixed connective tissue disease (MCTD) and systemic lupus erythematosus (SLE). Apart from being erosive and deforming in the former, we speculated that it was more common and the extent of joints involved would be higher in MCTD.

METHODS

This was a cross-sectional study that included patients with MCTD aged 18-75 years fulfilling the Kasukawa criteria. An equal number of patients with SLE matched for disease duration and gender were included. Clinical manifestations were compared between patients with MCTD and with SLE. Examination of joints was done for the presence of tenderness or swelling and deformity. Musculoskeletal ultrasound was done on the non-dominant hand for detection of synovitis and tenosynovitis and radiographs of the hands were obtained. The use of methotrexate and non-steroidal anti-inflammatory drugs (NSAIDs) for arthritis was noted. Statistical tests used were non-parametric.

RESULTS

Forty patients with MCTD and forty patients with SLE were included in this study, with patients being slightly older in MCTD than SLE (36 ± 10.2, 31.8 ± 13.3 years, p = 0.01). There were no significant differences in disease duration (4.7 ± 3.1, 3.7 ± 2.3, p = 0.1) or gender (females = 38, 38). Nearly one-half of patients with MCTD had at least one swollen joint compared with only 15% of patients with SLE. Median (95% confidence interval) tender joint count (5 (4.8-10.4), 0 (1.3-7.2), p = 0.01) and swollen joint count (0 (0.9-2.6), 0 (0-1.2), p = 0.002) was significantly higher in patients with MCTD compared with SLE. More patients with MCTD than SLE had tender or swollen proximal interphalangeal joints (12, 4, p = 0.025). More patients with MCTD than SLE had received methotrexate (8,2, p = 0.04) and NSAIDs (39, 32, p = 0.03) for arthritis. There was no difference in the number of patients with MCTD or SLE who had evidence of synovitis or tenosynovitis on ultrasound. There was no difference in erosive disease on hand radiographs, but acro-osteolysis was higher among MCTD patients.

CONCLUSIONS

A higher proportion of patients with MCTD had at least one swollen and tender joint as compared with patients with SLE, as well as higher use of methotrexate and NSAIDs. However, there was no difference in ultrasound detected synovitis or tenosynovitis.

Insights on the interaction of Zn2+ cation with triazoles: Structures, bonding, electronic excitation and applications

At present, we investigate the structures, the stability, the bonding and the spectroscopy of the Zn²⁺-triazole complexes (Zn²⁺-Tz), which are subunits of triazolate based porous materials and Zn-enzymes. This theoretical work is performed using ab initio methods and density functional theory (DFT) where dispersion correction is included. Through these benchmarks, we establish the ability and reliability of M05-2X+D3 and PBE0+D3 functionals for the correct description of Zn²⁺-Tz bond since these DFTs lead to close agreement with post Hartree-Fock methods. Therefore, M05-2X+D3 and PBE0+D3 functionals are recommended for the characterization of larger organometallic complexes formed by Zn and N-rich linkers. For Zn²⁺-Tz, we found two stable σ-type complexes: (i) a planar structure where Zn²⁺ links to unprotonated nitrogen and (ii) an out-of-plane cluster where carbon interacts with Zn²⁺. The most stable isomers consist on a coordinated covalent bond between the lone pair of unprotonated nitrogen and the vacant 4s orbital of Zn²⁺. The roles of covalent interactions within these complexes are discussed after vibrational, NBO, NPA charges and orbital analyses. The bonding is dominated by charge transfer from Zn²⁺ to Tz and intramolecular charge transfer, which plays a vital role for the catalytic activity of these complexes. These findings are important to understand, at the microscopic level, the structure and the bonding within triazolate based macromolecular porous materials and Zn-enzymes.

Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India

In the present study, a total of 53 promising salt-tolerant genotypes were tested across 18 salt-affected diverse locations for three years. An attempt was made to identify ideal test locations and mega-environments using GGE biplot analysis. The CSSRI sodic environment was the most discriminating location in individual years as well as over the years and could be used to screen out unstable and salt-sensitive genotypes. Genotypes CSR36, CSR-2K-219, and CSR-2K-262 were found ideal across years. Overall, Genotypes CSR-2K-219, CSR-2K-262, and CSR-2K-242 were found superior and stable among all genotypes with higher mean yields. Different sets of genotypes emerged as winners in saline soils but not in sodic soils; however, Genotype CSR-2K-262 was the only genotype that was best under both saline and alkaline environments over the years. The lack of repeatable associations among locations and repeatable mega-environment groupings indicated the complexity of soil salinity. Hence, a multi-location and multi-year evaluation is indispensable for evaluating the test sites as well as identifying genotypes with consistently specific and wider adaptation to particular agro-climatic zones. The genotypes identified in the present study could be used for commercial cultivation across edaphically challenged areas for sustainable production.

Dynamical Analysis of the Hindmarsh-Rose Neuron With Time Delays

This brief is mainly concerned with a series of dynamical analyses of the Hindmarsh-Rose (HR) neuron with state-dependent time delays. The dynamical analyses focus on stability, Hopf bifurcation, as well as chaos and chaos control. Through the stability and bifurcation analysis, we determine that increasing the external current causes the excitable HR neuron to exhibit periodic or chaotic bursting/spiking behaviors and emit subcritical Hopf bifurcation. Furthermore, by choosing a fixed external current and varying the time delay, the stability of the HR neuron is affected. We analyze the chaotic behaviors of the HR neuron under a fixed external current through time series, bifurcation diagram, Lyapunov exponents, and Lyapunov dimension. We also analyze the synchronization of the chaotic time-delayed HR neuron through nonlinear control. Based on an appropriate Lyapunov-Krasovskii functional with triple integral terms, a nonlinear feedback control scheme is designed to achieve synchronization between the uncontrolled and controlled models. The proposed synchronization criteria are derived in terms of linear matrix inequalities to achieve the global asymptotical stability of the considered error model under the designed control scheme. Finally, numerical simulations pertaining to stability, Hopf bifurcation, periodic, chaotic, and synchronized models are provided to demonstrate the effectiveness of the derived theoretical results.

Ab initio and density functional theory (DFT) studies on triflic acid with water and protonated water clusters

The structure, stability and infrared spectral signatures of triflic acid (TA) with water clusters (W_n) and protonated water clusters (TAH⁺W_n, n = 1 - 6) were computed using DFT and MP2 methods. Our calculations show that a minimum of three water molecules are necessary to stabilize the dissociated zwitterionic form of TA. It can be seen from the results that there is no significant movement of protons in smaller (n = 1 and 2) and linear (n = 1 - 6) types of water clusters. Further, the geometries of TAW_n clusters first form a neutral pair (NP) to contact ion pair (CIP), then form a solvent separated ion pair (SSIP) in a water hexamer. These findings reveal that proton transfer may take place through NP to CIP and then CIP to SSIP. The calculated binding energies (BEs) of ion pair clusters is always higher than that of NP clusters (i.e., more stable than the NP). Existing excess proton linear chain clusters transfer a proton to adjacent water molecules via a Grotthuss mechanism, whereas the same isomers in the branched motifs do not conduct protons. Examination of geometrical parameters and infrared frequencies reveals hydronium ion (H₃O⁺ also called Eigen cation) formation in both TAW_n and protonated TAW_n clusters. The stability of Eigen water clusters is three times higher than that of other non-Eigen water clusters. Our study shows clearly that formation of ion pairs in TAW_n and TAH⁺W_n clusters greatly favors proton transfer to neighboring water molecules and also enhances the stability of these complexes.

It's Even Here! Two Rare Cases of Pyriformis Myocysticercus

Cysticercus, the larval form of Taenia Solium, a tapeworm, can infest various tissues in the human body. Though central nervous system involvement is the most dramatic form of infestation, several other uncommon sites of has been reported in the literature. One such involvement is that of the musculature. The most easily recalled manifestation of myocysticercus is that in the orbit where the patients present with painful proptosis. However, other less common muscular sites of involvement are documented in case reports. To the best of our knowledge, there are no documented cases of pyriformis muscle infestation with cysticercus. We came across two interesting cases, where imaging established the diagnosis of isolated pyriformis cysticercosis. Follow up after one month of antihelminthic treatment imaging revealed disappearance of the lesions.

Color Stability of Heat-cure Acrylic Resin Subjected to Simulated Short-term Immersion in Fast-acting Denture Cleansers

Background:

Regular usage of denture cleansers is recommended in complete denture wearers for effective plaque control, and these cleansers alter the physical properties of acrylic resin over a period of time. Thus, an in vitro study was carried out to assess the effect of denture cleansers on the color stability of heat-cure denture base resin.

Aim:

The aim of the present study was to evaluate the effect of commercially available fast-acting denture cleansers on the color stability of heat-cure denture base resin at different time intervals.

Materials and Methods:

Thirty-six heat-cure acrylic resin (Ivoclar Triplex Hot-V) specimens are randomly allocated into four groups – Group A (distilled water as control); Group B (polident – 3 min); Group C (fixodent scope plus); and Group D (stain away plus) comprising of nine samples each. After recording the baseline values, the specimens were immersed in their respective cleansing solutions for a prescribed time interval. This procedure was repeated daily, and the color change (ΔE) was evaluated after 90 and 180 days interval using a colorimeter in a standard “Commission International de l'Eclairage” color system.

Statistical Analysis Used:

Paired t-test and Dunnett's T3 test.

Results:

All the groups exhibited a variable color change (ΔE) for an immersion period of 90 days. However, significant color differences (P = 0.001) were noticed among the test groups after 180 days.

Conclusion:

The color change of denture base resin was greater for Group D followed by Groups B, C, and A respectively after 180 days of immersion. The ΔE values of all test groups increased with time.

Assessment of premature atherosclerosis in systemic lupus erythematosus patients with and without nephritis

BACKGROUND

Risk of subclinical atherosclerosis is increased in patients with systemic lupus erythematosus (SLE). We correlated carotid intima media thickness (CIMT) and endothelial dysfunction through flow-mediated dilation (FMD) in SLE patients with the SLE Disease Activity Index (SLEDAI).

METHODS

This single-centre cross-sectional study recruited 100 consenting SLE outpatients (ACR 1997 criteria) out of which 50 had nephritis, with disease duration of ≥2 years for SLE and ≥6 months for lupus nephritis. We measured baseline laboratory levels, CIMT and FMD (after brachial BP cuff inflation up to 200 mmHg for five minutes), and calculated SLEDAI.

RESULTS

Mean age was 29.88 ± 6.53 years; 95/100 were female. CIMT showed positive correlation (p = 0.037; rho = 0.209), and FMD showed inverse correlation with patient's age (p = 0.011; rho = -0.252). CIMT and FMD were more deranged in patients aged ≥25 years (p < 0.05). CIMT was not significantly different between SLE patients with and without nephritis (p > 0.05), whereas SLEDAI and FMD were more deranged in nephritis patients (p < 0.05). In patients without nephritis, FMD showed significant inverse correlation with disease duration (p = 0.043; rho = -0.288) and urine albumin (p = 0.045; rho = -0.285). In nephritis patients, the correlation between age of the patient was significantly positive with CIMT (p = 0.001; rho = 0.441) and significantly inverse with FMD (p = 0.028; rho = -0.312).

CONCLUSION

SLE patients with nephritis are at a higher risk to develop arterial stiffening, leading to early end-organ damage. Early aggressive treatment may prevent endothelial dysfunction. FMD using vascular ultrasonography on the brachial artery represents a non-invasive, repeatable and useful method for the assessment of endothelial dysfunction.

Structure, Spectroscopy, and Bonding within the Zn(q+)-Imidazole(n) (q = 0, 1, 2; n = 1-4) Clusters and Implications for Zeolitic Imidazolate Frameworks and Zn-Enzymes

Using density functional theory (DFT) with dispersion correction and ab initio post Hartree-Fock methods, we treat the bonding, the structure, the stability, and the spectroscopy of the complexes between Zn(q+) and imidazole (Im), Zn(q+)Imn (where q = 0, 1 and 2; n = 1-4). These entities are subunits of zeolitic imidazolate frameworks (ZIFs) and Zn-enzymes, which possess relevant roles in industrial and biological domains, respectively. We also investigate the Imn (n = 2-4) clusters for comparison. For each species, we determine several new structures that were not found previously. Our calculations show a competition between atomic metal solvation, by either σ-type interactions or π-stacking type interaction, and proton transfer through hydrogen bonding (H-bonding) in charged species. This results in several geometrical environments around the metal. These are connected with structural properties and the functional role of Zn cation within ZIFs and Zn-enzymes. Moreover, we show that the Zn(2+)Imn subunits do not absorb in the visible domain, which may be related to the photostability of ZIFs. Our findings are important for the development of new applications of ZIFs and metalloenzymes.