Fine needle aspiration diagnosis of benign oncocytic lesions of the head and neck associated with false positive 18F-fluorodeoxyglucose uptake on positron emission tomography scan

INTRODUCTION

18F-fluorodeoxyglucose (FDG) uptake on positron emission tomography/computed tomography (PET/CT) has become the mainstay for staging and post-therapy surveillance of cancer as malignant neoplasms generally demonstrate higher FDG uptake that benign entities. However, there are certain benign lesions, most notably oncocytic tumors, that can display very high uptake and fine needle aspiration (FNA) is usually done to confirm malignancy. Therefore, it is important to recognize that benign oncocytic lesions of the head and neck may also present as FDG-avid lesions to avoid a diagnostic pitfall.

METHODS

Electronic search of institutional surgical and cytopathology archives was conducted to identify cases of benign oncocytic lesions involving the head and neck region diagnosed by FNA from January 2012 to April 2022. Chart review was used to assess whether lesions were initially discovered via PET scanning.

RESULTS

One hundred and twenty-five cases of oncocytic lesions were identified; 12 (9%) PET positive lesions were identified in the head and neck region from patients being evaluated for metastasis or for suspicion of malignancy. Cytopathology of all 12 cases demonstrated benign oncocytic lesions; eight (67%) of these cases were consistent with Warthin tumor, one (8.3%) was a benign oncocytic lesion, and one (8.3%) was consistent wit a parathyroid adenoma. Most (58%) of the PET-positive lesions were in parotid region, two from thyroid gland (17%), one from submandibular gland (8%), one from paratracheal area (8%). The PET scan SUVs ranged from 3.3 to 19.5 g mL-1.

CONCLUSIONS

Oncocytic lesions including Warthin tumors can result in false-positive FDG uptake on PET scans. Clinicians and cytopathologists should be aware of PET-positive benign oncocytic head and neck lesions.

Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics

Pedestrians represent a group of vulnerable road users who are at a higher risk of sustaining severe injuries than other road users. As such, proactively assessing pedestrian crash risks is of paramount importance. Recently, extreme value theory models have been employed for proactively assessing crash risks from traffic conflicts, whereby the underpinning of these models are two sampling approaches, namely block maxima and peak over threshold. Earlier studies reported poor accuracy and large uncertainty of these models, which has been largely attributed to limited sample size. Another fundamental reason for such poor performance could be the improper selection of traffic conflict extremes due to the lack of an efficient sampling mechanism. To test this hypothesis and demonstrate the effect of sampling technique on extreme value theory models, this study aims to develop hybrid models whereby unconventional sampling techniques were used to select the extreme vehicle-pedestrian conflicts that were then modelled using extreme value distributions to estimate the crash risk. Unconventional sampling techniques refer to unsupervised machine learning-based anomaly detection techniques. In particular, Isolation forest and minimum covariance determinant techniques were used to identify extreme vehicle-pedestrian conflicts characterised by post encroachment time as the traffic conflict measure. Video data was collected for four weekdays (6 am-6 pm) from three four-legged intersections in Brisbane, Australia and processed using artificial intelligence-based video analytics. Results indicate that mean crash estimates of hybrid models were much closer to observed crashes with narrower confidence intervals as compared with traditional extreme value models. The findings of this study demonstrate the suitability of machine learning-based anomaly detection techniques to augment the performance of existing extreme value models for estimating pedestrian crashes from traffic conflicts. These findings are envisaged to further explore the possibility of utilising more advanced machine learning models for traffic conflict techniques.

The deleterious variants of N-acetylgalactosamine-6-sulfatase (GalN6S) enzyme trigger Morquio a syndrome by disrupting protein foldings

Lysosomal enzymes degrade cellular macromolecules, while their inactivation causes human hereditary metabolic disorders. Mucopolysaccharidosis IVA (MPS IVA; Moquio A syndrome) is one of the lysosomal storage disorders caused by a defective Galactosamine-6-sulfatase (GalN6S) enzyme. In several populations, disease incidence is elevated due to missense mutations brought on by non-synonymous allelic variation in the GalN6S enzyme. Here, we studied the effect of non-synonymous single nucleotide polymorphism (nsSNPs) on the structural dynamics of the GalN6S enzyme and its binding with N-acetylgalactosamine (GalNAc) using all-atom molecular dynamics simulation and an essential dynamics approach. Consequently, in this study, we have identified three functionally disruptive mutations in domain-I and domain-II, that is, S80L, R90W, and S162F, which presumably contribute to post-translational modifications. The study delineated that both domains work cooperatively, and alteration in domain II (S80L, R90W) leads to conformational changes in the catalytic site in domain-I, while mutation S162F mainly provokes higher residual flexibility of domain II. These results show that these mutations impair the hydrophobic core, implying that Morquio A syndrome is caused by misfolding of the GalN6S enzyme. The results also show the instability of the GalN6S-GalNAc complex upon substitution. Overall, the structural dynamics resulting from point mutations give the molecular rationale for Moquio A syndrome and, more importantly, the Mucopolysaccharidoses (MPS) family of diseases, re-establishing MPS IVA as a protein-folding disease.Communicated by Ramaswamy H. Sarma.

Whole-Exome sequencing identifies GYS2 biallelic variants in individuals with suspected epilepsy

BACKGROUND

Adequate glucose supply is essential for brain function, therefore hypoglycemic states may lead to seizures. Since blood glucose supply for brain is buffered by liver glycogen, an impairment of liver glycogen synthesis by mutations in the liver glycogen synthase gene (GYS2) might result in a substantial neurological involvement. Here, we describe the phenotypes of affected siblings of two families harboring biallelic mutations in GYS2.

METHODS

Two suspected families - a multiplex Pakistani family (family A) with three affected siblings and a family of Moroccan origin (family B) with a single affected child who presented with seizures and reduced fasting blood glucose levels were genetically characterized. Whole exome sequencing (WES) was performed on the index patients, followed by Sanger sequencing-based segregation analyses on all available members of both families.

RESULTS

The variant prioritization of WES and later Sanger sequencing confirmed three mutations in the GYS2 gene (12p12.1) consistent with an autosomal recessive pattern of inheritance. A homozygous splice acceptor site variant (NM_021957.3, c. 1646 -2A>G) segregated in family A. Two novel compound heterozygous variants (NM_021957.3: c.343G>A; p.Val115Met and NM_021957.3: c.875A>T; p.Glu292Val) were detected in family B, suggesting glycogen storage disorder. A special diet designed to avoid hypoglycemia, in addition to change of the anti-seizure medication led to reduction in seizure frequency.

CONCLUSIONS

This study suggests that the seizures in patients initially diagnosed with epilepsy might be directly caused, or influenced by hypoglycemia due to pathogenic variants in the GYS2 gene.

Whole exome sequencing identifies variable expressivity of CLN6 variants in Progressive myoclonic epilepsy affected families

Progressive myoclonic epilepsies (PMEs) are a group of neurodegenerative disorders, predominantly affecting adolescents and, characterized by generalized worsening myoclonus epilepsies, ataxia, cognitive deficits, and dementia. To date, several genes, having implications in diverse phenotypic expressions associated with PMEs, have been identified. Genetic diagnosis is available for most of the adolescence-onset myoclonic epilepsies. This study aimed to elucidate the genetic basis of PMEs in three multiplex Pakistani families exhibiting clinically variable phenotypes. Causative variant(s) in the studied families, and mode of segregation were identified by Whole Exome Sequencing (WES) of the probands, followed by bi-directional Sanger sequencing for final validation. We identified homozygous recessive CLN6 missense variant c.768 C>G (p.Asp256Glu) in Family 1, and c.889 C>A (p.Pro297Thr) variant in Family 2. While in Family 3, we found a homozygous variant (c.316dup) that caused a frameshift mutation, leading to a premature stop codon in the CLN6 protein, resulting in a truncated protein (p.Arg106ProfsTer26). Though CLN6 is previously identified to underlie late infantile and adolescent onset neuronal ceroid lipofuscinosis, this study supports and expands the phenotypic spectrum of CLN6 mutations and signifies diagnositc potential CLN6 variants for PMEs. Diverse pathological effects of variant c .768 C>G were observed in Family 1, with same genotypes, suggesting clinical heterogeneity and/or variable expressivity that might be the implication of pleiotropic effects of the gene in these cases.

A bi-level framework for real-time crash risk forecasting using artificial intelligence-based video analytics

This study proposes a bi-level framework for real-time crash risk forecasting (RTCF) for signalised intersections, leveraging the temporal dependency among crash risks of contiguous time slices. At the first level of RTCF, a non-stationary generalised extreme value (GEV) model is developed to estimate the rear-end crash risk in real time (i.e., at a signal cycle level). Artificial intelligence techniques, like YOLO and DeepSort were used to extract traffic conflicts and time-varying covariates from traffic movement videos at three signalised intersections in Queensland, Australia. The estimated crash frequency from the non-stationary GEV model is compared against the historical crashes for the study locations (serving as ground truth), and the results indicate a close match between the estimated and observed crashes. Notably, the estimated mean crashes lie within the confidence intervals of observed crashes, further demonstrating the accuracy of the extreme value model. At the second level of RTCF, the estimated signal cycle crash risk is fed to a recurrent neural network to predict the crash risk of the subsequent signal cycles. Results reveal that the model can reasonably estimate crash risk for the next 20-25 min. The RTCF framework provides new pathways for proactive safety management at signalised intersections.

Anaplastic Large Cell Lymphoma of the Spine: Report of a Rare Case

This abstract discusses a rare case of anaplastic large cell lymphoma (ALCL) involving the cervical and dorsal spine in a 17-year-old female. ALCL is a distinct subtype of lymphoma characterized by abnormal proliferation of lymphocytes and is divided into ALK-positive and ALK-negative subtypes. Spinal involvement in ALCL is uncommon, particularly in the cervical and dorsal regions. The patient presented with persistent fever, weakness, and delayed onset of severe neck pain. Diagnosis involved imaging, bone marrow biopsy, and lymph node biopsy. Treatment strategies for ALCL typically involve a multimodal approach, including chemotherapy, radiotherapy, and targeted therapy. However, due to the rarity of spinal involvement, treatment decisions are based on extrapolation from other ALCL cases. Prognosis is influenced by disease stage and ALK status, but specific outcomes for spinal involvement remain poorly established. This case emphasizes the need for considering lymphoma in patients with unexplained symptoms and abnormal imaging findings. It highlights the importance of further research to improve the understanding and management of ALCL with spinal involvement.

A Bayesian extreme value theory modelling framework to assess corridor-wide pedestrian safety using autonomous vehicle sensor data

Pedestrians are a vulnerable road user group, and their crashes are generally spread across the network rather than in a concentrated location. As such, understanding and modelling pedestrian crash risk at a corridor level becomes paramount. Studies on pedestrian crash risks, particularly with the traffic conflict data, are limited to single or multiple but scattered intersections. A lack of proper modelling techniques and the difficulties in capturing pedestrian interaction at the network or corridor level are two main challenges in this regard. With autonomous vehicles trialled on public roads generating massive (and unprecedented) datasets, utilising such rich information for corridor-wide safety analysis is somewhat limited where it appears to be most relevant. This study proposes an extreme value theory modelling framework to estimate corridor-wide pedestrian crash risk using autonomous vehicle sensor/probe data. Two types of models were developed in the Bayesian framework, including the block maxima sampling-based model corresponding to Generalised Extreme Value distribution and the peak over threshold sampling-based model corresponding to Generalised Pareto distribution. The proposed framework was applied to autonomous vehicle data from Argoverse-a Ford Motors subsidiary. This autonomous vehicle fleet of Agro AI (owner of Argoverse dataset) is equipped with two 64 beams synchronised LiDAR sensors, a cluster of seven high-resolution cameras, and a pair of stereo-vison high-resolution cameras to capture surrounding road users' information within a range of 200 meters. A subset of the Argoverse dataset, focussing on an arterial corridor in Miami, USA, was used to extract pedestrian and vehicle trajectories. From these trajectories, vehicle-pedestrian conflicts were identified and measured using post encroachment time. The non-stationarity of extremes was captured by vehicle volume, pedestrian volume, average vehicle speed, and average pedestrian speed in the extreme value model. Both block maxima and peak over threshold sampling-based models were found to provide a reasonable estimate of historical pedestrian crash frequencies. Notably, the block maxima sampling-based model was more accurate than the peak over threshold sampling-based model based on mean crash estimates and confidence intervals. This study demonstrates the potential of using autonomous vehicle sensor data for network-level safety, enabling an efficient identification of pedestrian crash risk zones in a transport network.

Identification of potential natural products derived from fungus growing termite, inhibiting Pseudomonas aeruginosa quorum sensing protein LasR using molecular docking and molecular dynamics simulation approach

Pseudomonas aeruginosa, the most common opportunistic pathogen, is becoming antibiotic-resistant worldwide. The fate of P. aeruginosa, a multidrug-resistant strain, can be determined by multidrug efflux pumps, enzyme synthesis, outer membrane protein depletion, and target alterations. Microbial niches have long used quorum sensing (QS) to synchronize virulence gene expression. Computational methods can aid in the development of novel P. aeruginosa drug-resistant treatments. The tripartite symbiosis in termites that grow fungus may help special microbes find new antimicrobial drugs. To find anti-quorum sensing natural products that could be used as alternative therapies, a library of 376 fungal-growing termite-associated natural products (NPs) was screened for their physicochemical properties, pharmacokinetics, and drug-likeness. Using GOLD, the top 74 NPs were docked to the QS transcriptional regulator LasR protein. The five lead NPs with the highest gold score and drug-like properties were chosen for a 200-ns molecular dynamics simulation to test the competitive activity of different compounds against negative catechin. Fridamycin and Daidzein had stable conformations, with mean RMSDs of 2.48 and 3.67 Å, respectively, which were similar to Catechin's 3.22 Å. Fridamycin and Daidzein had absolute binding energies of -71.186 and -52.013 kcal/mol, respectively, which were higher than the control's -42.75 kcal/mol. All the compounds within the active site of the LasR protein were kept intact by Trp54, Arg55, Asp67, and Ser123. These findings indicate that termite gut and fungus-associated NPs, specifically Fridamycin and Daidzein, are potent QS antagonists that can be used to treat P. aeruginosa's multidrug resistance.Communicated by Ramaswamy H. Sarma.

Core-genome-mediated promising alternative drug and multi-epitope vaccine targets prioritization against infectious Clostridium difficile

Prevention of Clostridium difficile infection is challenging worldwide owing to its high morbidity and mortality rates. C. difficile is currently being classified as an urgent threat by the CDC. Devising a new therapeutic strategy become indispensable against C. difficile infection due to its high rates of reinfection and increasing antimicrobial resistance. The current study is based on core proteome data of C. difficile to identify promising vaccine and drug candidates. Immunoinformatics and vaccinomics approaches were employed to construct multi-epitope-based chimeric vaccine constructs from top-ranked T- and B-cell epitopes. The efficacy of the designed vaccine was assessed by immunological analysis, immune receptor binding potential and immune simulation analyses. Additionally, subtractive proteomics and druggability analyses prioritized several promising and alternative drug targets against C. difficile. These include FMN-dependent nitroreductase which was prioritized for pharmacophore-based virtual screening of druggable molecule databases to predict potent inhibitors. A MolPort-001-785-965 druggable molecule was found to exhibit significant binding affinity with the conserved residues of FMN-dependent nitroreductase. The experimental validation of the therapeutic targets prioritized in the current study may worthy to identify new strategies to combat the drug-resistant C. difficile infection.

Identification of the myxobacterial secondary metabolites Aurachin A and Soraphinol A as promising inhibitors of thymidylate kinase of the Monkeypox virus

Thymidylate kinase (TMPK) of monkeypox virus (MPXV) has emerged as a promising target for potential therapeutics due to its significant role in pyrimidine metabolism. While smallpox drugs are advised for treating monkeypox, the European Medicine Agency has sanctioned Tecovirimat due to its potent nanomolar activity. Nonetheless, there is a need for monkeypox-specific therapeutic options. In this work, we employed docking-based virtual screening and molecular dynamics (MD) simulations to identify myxobacterial secondary metabolites as promising anti-viral natural compounds capable of inhibiting thymidylate kinase. The computational pharmacokinetics and manual curation of top-scoring compounds identified six lead compounds that were compared in terms of protein-ligand contacts and protein-essential dynamics. The study shows that among the six candidates, Aurachin A and the Soraphinol analogues such as Soraphinol A and Soraphinol C remain very stable compared to other compounds, enabling the active site integrity via a stable dynamics pattern. We also show that other compounds such as Phenoxan, Phenylnannolone C, and 8E-Aurafuron B remain unstable and have a negative impact on the active site integrity and may not be suitable binders for TMPK protein. Analyzing the Aurachin A and Soraphinol A binding, the established hydrogen bonds with Arg93 and the conserved hydrophobic interaction with Tyr101 are consistent with previous experimental interactions. Additionally, a deeper insight into the indole and the aromatic ring interaction through π-π stacking and π-cation interactions, as well as the background of Aurachin A and Soraphinol A as a bioactive compound, has significant implications not only for its potential as a promising drug but also for directing future drug discovery efforts targeting the TMPK protein.

Genetic variants rs2910164, rs4636297 and rs895819 may contribute to the onset of acute myocardial infarction in Pakistani population

The most serious type of coronary artery disease (CAD), acute myocardial infarction (AMI), is a major global cause of death. The development of AMI is accompanied by several risk factors. AMI may be caused by variations in the microRNA (miRNA) genes, which have a negative impact on miRNA-mediated regulation of gene expression. The target mRNAs are dysregulated because of these genetic changes in the miRNA genes, which interfere with the vital biological processes that result in AMI. Using allele-specific PCR, the aim of the study is to examine the association of the variants (rs2910164, rs4636297, and rs895819) in MIR146A, MIR126, and MIR27A with AMI susceptibility. A difference in genotype distribution among the patients and control for variation rs2910164 was identified by co-dominant [χ2 = 68.34,2; P value<0.0001], dominant (G/G vs G/C + C/C) [OR = 4.167 (2.860-6.049); P value<0.0001], recessive (C/C vs G/C + G/G) [OR = 0.2584 (0.1798-0.3731); P value<0.0001], and additive models [OR = 3.847 (2.985-4.959); P value<0.0001]. Whereas the association of rs4636297 was investigated by co-dominant [χ2 = 6.882,2; P value = 0.0320], dominant (G/G vs G/A + A/A) [OR = 0.6914 (0.4849-0.9948); P value = 0.0489], recessive (A/A vs A/G + G/G) [OR = 2.434 (0.9849-5.616830); P value = 0.0595], and additive models [OR = 0.7716 (0.6000-0.9918); P value = 0.0433]. Similarly, association of rs895819 was determined by co-dominant [χ2 = 5.277, 2; P value = 0.0715], dominant (G/G vs G/A + A/A) [OR = 1.654(0.9819-2.801); P value = 0.06440], recessive (A/A vs A/G + G/G) [OR = 0.7227 (0.5132-1.022); P value = 0.0748], and additive models [OR = 1.3337 (1.041-1.719); P value = 0.0233]. The results of this study found a significant association of rs2910164 and rs4636297 with AMI and are considered as the risk factor for AMI in the Pakistani population. We observed no significant association of the variant MIR27A (rs895819) with AMI incidence.

Exploring temporal instability effects on bicyclist injury severities determinants for intersection and non-intersection-related crashes

Cycling is a sustainable and healthy mode of transportation with direct links to reducing traffic congestion, lowering greenhouse gas emissions, and improving air quality. However, from a safety perspective, bicyclists represent a risky road user group with a higher likelihood of sustaining severe injuries when involved in vehicle crashes. With various determinants known to affect bicyclist injury severity and vary across locations, this study investigates the factors affecting bicyclist injury severity and temporal instability, considering the location of crashes. More specifically, the objective of this study is to understand differences in injury severities of intersection and non-intersection-related single-bicycle-vehicle crashes using four year crash data from the state of Florida. Random parameters logit models with heterogeneity in the means and variances are developed to model bicyclist injury severity outcomes (no injury, minor injury, and severe injury) for intersection and non-intersection crashes. Several variables affecting injury severities are considered in model estimation, including weather, roadway, vehicle, driver, and bicyclist characteristics. The temporal stability of the model parameters is assessed for different locations and years using a series of likelihood ratio tests. Results indicate that the determinants of bicyclist injury severities change over time and location, resulting in different injury severities of bicyclists, with non-intersection crashes consistently resulting in more severe bicyclist injuries. Using a simulation-based out-of-sample approach, predictions are made to understand the benefits of replicating driving behaviour and facilities similar to intersections for non-intersection locations, which could benefit in reducing bicyclist injury severity probabilities.

Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review

Accurately modelling crashes, and predicting crash occurrence and associated severities are a prerequisite for devising countermeasures and developing effective road safety management strategies. To this end, crash prediction modelling using machine learning has evolved over two decades. With the advent of big data that provides unprecedented opportunities to better understand the crash mechanism and its determinants, such efforts will likely be accelerated. To gear these efforts, understanding state-of-the-art machine learning-based crash prediction models becomes paramount to summarise the lessons learned from past efforts, which can assist in developing robust and accurate models. This review paper aims to address this gap by systematically reviewing the machine learning studies on crash modelling. Models are reviewed from three aspects of the application: (a) crash occurrence (or real-time crash) prediction, (b) crash frequency prediction, and (c) injury severity prediction. Further, model intricacies that impact model performance are identified and thoroughly reviewed. This comprehensive review highlights specific gaps and future research needs in three aforementioned model applications, such as improper selection of non-crash events for crash occurrence models, the inability of future forecasting of crash frequency models, and inconsistency in injury severity classes. Critical research needs relating to model development, evaluation, and application are also discussed. This review envisages methodological advancements in machine learning models for crash prediction modelling and leveraging big data to better link crashes with its determinants.

Before-after safety evaluation of part-time protected right-turn signals: An extreme value theory approach by applying artificial intelligence-based video analytics

Extreme value theory models have opened doors for before-after safety evaluation of engineering treatments using traffic conflict techniques. Recent advancements in automated conflict extraction technologies have further expedited conflict-based safety evaluation as a potential alternative to traditional crash-based methods. However, the suitability of extreme value theory models in the before-after evaluation of engineering treatments needs to be rigorously tested. As such, this study proposes a traffic conflict-based before-after evaluation of a novel part-time protected right-turn signal strategy for right-turn or opposing-through crashes at signalised intersections. A part-time protected right-turn signal strategy refers to a signal arrangement where permissive and fully protected right-turn phasings are operated during peak and off-peak hours, respectively. A deep neural network-based computer vision technique was applied to extract the conflicts from a total of 654 h of video recordings (before period: 266 h and after period: 388 h) over seven treated approaches, and four matching control approaches at five signalised intersections in the city of Cairns, Australia. Using post encroachment time and post-collision velocity difference as traffic conflict measures, non-stationary bivariate generalised extreme value models were developed to estimate the severe and non-severe opposing-through crashes at signal cycle levels. The odds ratio analysis of model-predicted crash risks suggests that part-time protected right-turn signals reduce 67% and 81% of severe and non-severe opposing-through crashes at signalised intersections, respectively. Part-time protected right-turn signal strategy offers a good safety solution without precipitating need for capacity upgrades to accommodate queued right turners at signalised intersections.

The miRNA variants MIR196A2 (rs11614913) and MIR423 (rs6505162) contribute to an increase in the risk of myocardial infarction

INTRODUCTION

MicroRNAs (miRNAs) are small, single-stranded RNA molecules that negatively regulate gene expression and play a key role in the pathogenesis of human diseases. Recent studies have suggested that miRNAs contribute to cardiovascular diseases (CVDs). However, the association between single-nucleotide polymorphisms (SNPs) in miRNAs and myocardial infarction (MI) remains in infancy.

AIM

The current study was designed to find out the association of SNPs in MIR196A2 and MIR423 (rs11614913 and rs6505162, respectively).

METHODS

Using Tetra-Primer Amplification Refractory Mutation System-Polymerase Chain Reaction (T-ARMS PCR) in 400 cases (MI patients) and 336 healthy controls. Using different inheritance models (co-dominant, homozygous dominant, homozygous recessive, and additive models), the association of these SNPs was genotyped with MI risk.

RESULTS

For variant rs11614913, significant distribution of the genotypes among the cases and controls was determined by co-dominant [χ2  = 29.19, 2; p value < 0.0001], dominant (C/C vs. C/T + T/T) [OR = 0.45 (0.34 to 0.61); p < 0.0001], recessive (T/T vs. C/T + C/C) [OR = 1.009 (0.63 to 1.63); p-value p value > 0.999], and additive models [OR = 0.65 (0.52 to 0.80); p value = 0.0001]. Similarly, a significant association of rs6505162 was determined by co-dominant [χ2  = 24.29, 2; p value < 0.0001], dominant (C/C vs. A/C+ A/A) [OR = 0.44 (0.32 to 0.61); p value < 0.0001], recessive (A/A vs. A/C + C/C) [OR = 1.29 (0.85 to 1.98); p value = 0.28], and additive models [OR = 0.65 (0.52 to 0.81); p value = 0.0001].

CONCLUSION

Therefore, the current study showed that both variants rs11614913 and rs6505162 are significantly associated with MI in the Pakistani population.

Monkeypox Entry and Emergence Preparation in Pakistan

Monkeypox (Mpox) is a virus that first emerged in Africa in 1970 [...].

Thrombosis of the Vein of Trolard: An Atypical Presentation of Protein C Deficiency

Cerebral venous thrombosis refers to complete or partial occlusion of the cerebral sinus/es or the feeding cortical veins, resulting in secondary effects of vascular congestion and focal or generalized neurological deficits. One of the important causes of venous thromboembolism is inherited thrombophilia. Our case is of a 34-year-old male with no previous comorbidity who presented to the emergency department with complaints of sudden onset left-sided weakness, seizures, and loss of consciousness for one day. Thrombosis of the vein of Trolard was diagnosed based on magnetic resonance venography (MRV) film. His MRI with MRV revealed an attenuated caliber of the vein of Trolard along with abnormal signal intensity in the right fronto-parietal region and the right falcine location. He was managed with intravenous medication, including levetiracetam and topiramate. Once the diagnosis was established, he was commenced on subcutaneous Enoxaparin. Consequently, his GCS improved from 6/15 to 15/15 within the first 24 hours, and he could move his limbs on the day of discharge without any significant disability.

Sonographic Characteristics and Pathology Correlation of Breast Imaging Reporting and Data System (BI-RADS) Category 4 Lesions

INTRODUCTION

The Breast Imaging-Reporting and Database System (BI-RADS) category 4 is designated for breast lumps that do not display the typical features of malignancy but still raise enough suspicion to warrant a recommendation for a biopsy, as malignancy cannot be ruled out through imaging alone. The main objective of this study was to investigate the sonographic characteristics and pathology correlation of BI-RADS 4 breast lesions and determine the positive predictive rate of BI-RADS 4 lesions in diagnosing breast cancer, using histopathology as the gold standard.

METHODS

This was a cross-sectional study conducted at the Department of Radiology, Aga Khan University Hospital in Karachi, spanning from May 2021 to August 2022, with a duration of 15 months. The study focused on female patients over the age of 18 who presented with suspicious breast lesions on ultrasound. Both mammography and ultrasound-guided core needle biopsy were performed on these patients, followed by a detailed histopathological evaluation of the biopsy specimens. To calculate the positive predictive value (PPV), true positive cases were identified through both histopathology and ultrasonography.

RESULTS

A total of 227 cases were categorized as BI-RADS 4 lesions, with the patients' mean age being 47.8 ± 14.3 years (range: 17 - 88). Among the biopsied lesions, 101 cases were confirmed to be true positive for breast malignancies, resulting in a PPV for malignancy of 44.9%. Conversely, there were 124 false positive cases out of the 227 BI-RADS 4 category lesions (54.63%). The primary indication for presentation was a breast lump, and out of the 101 confirmed malignant cases, 70 (69.3%) were associated with malignancy.

CONCLUSION

BI-RADS 4 can be utilized to assess suspicious breast lumps; however, for more reliable results and to avoid false negatives, histopathological confirmation should complement the imaging findings.

A Race Against Time: Early-Onset Differentiation Syndrome Following All-Trans-Retinoic-Acid (ATRA) Therapy in Acute Promyelocytic Leukemia (AML-M3)

This study reports a case of differentiation syndrome, a rare complication of ATRA (all-trans-retinoic-acid) therapy, observed in a 20-year-old male with acute promyelocytic leukemia (APML). Following the initiation of ATRA therapy for APML, the patient presented with fever, bleeding gums, bloody stool, and mouth ulcers. After 36 hours, he developed respiratory distress, hypotension, tachycardia, and hypoxemia, leading to the diagnosis of differentiation syndrome. ATRA therapy was promptly discontinued, and the patient, exhibiting type 1 respiratory failure, necessitated intubation. The management included hydroxyurea, dexamethasone, vasopressors, intravenous fluids, and furosemide. After seven days, significant improvement was observed, underscoring the importance of recognizing and promptly addressing differentiation syndrome in APML patients undergoing ATRA therapy. This case emphasizes the necessity of ATRA discontinuation, coupled with the judicious use of steroids and hydroxyurea, in the effective management of differentiation syndrome.

Injection medialisation laryngoplasty: an alternative approach for challenging cases

OBJECTIVE

Conventional injection medialisation laryngoplasty techniques may be compromised by patient-specific factors such as marked kyphosis, an anteriorly positioned larynx or intolerance to nasendoscopy. This paper describes a technique for successful injection medialisation laryngoplasty where conventional methods are precluded, in an 88-year-old man with presbyphonia on a background of Parkinson's disease.

METHODS

After induction of general anaesthesia, a transoral introducing needle, shaped by tactile manipulation to match the curvature of a 'C-MAC' intubating video-laryngoscope 'D-blade' attachment, was introduced until visible above the glottis. The implant material was then injected into the paraglottic space as normal until satisfactory medialisation of the vocal fold was achieved.

RESULTS

When reviewed in the out-patient clinic four weeks later, the patient's post-operative Voice Handicap Index score fell to 6, from a pre-operative score of 21.

CONCLUSION

By utilising commonly available equipment and anaesthetic support to recreate the views and access conventional nasendoscopy and laryngoscopy facilitate, this novel procedure provides a viable and proven alternative in uncommon but challenging cases.

Vaccinomics-aided next-generation novel multi-epitope-based vaccine engineering against multidrug resistant Shigella Sonnei: Immunoinformatics and chemoinformatics approaches

Shigella sonnei is a gram-negative bacterium and is the primary cause of shigellosis in advanced countries. An exceptional rise in the prevalence of the disease has been reported in Asia, the Middle East, and Latin America. To date, no preventive vaccine is available against S. sonnei infections. This pathogen has shown resistances towards both first- and second-line antibiotics. Therefore, an effective broad spectrum vaccine development against shigellosis is indispensable. In the present study, vaccinomics-aided immunoinformatics strategies were pursued to identify potential vaccine candidates from the S. sonnei whole proteome data. Pathogen essential proteins that are non-homologous to human and human gut microbiome proteome set, are feasible candidates for this purpose. Three antigenic outer membrane proteins were prioritized to predict lead epitopes based on reverse vaccinology approach. Multi-epitope-based chimeric vaccines was designed using lead B- and T-cell epitopes combined with suitable linker and adjuvant peptide sequences to enhance immune responses against the designed vaccine. The SS-MEVC construct was prioritized based on multiple physicochemical, immunological properties, and immune-receptors docking scores. Immune simulation analysis predicted strong immunogenic response capability of the designed vaccine construct. The Molecular dynamic simulations analysis ensured stable molecular interactions of lead vaccine construct with the host receptors. In silico restriction and cloning analysis predicted feasible cloning capability of the SS-MEVC construct within the E. coli expression system. The proposed vaccine construct is predicted to be more safe, effective and capable of inducing robust immune responses against S. sonnei infections and may be worthy of examination via in vitro/in vivo assays.

Measurements of Groomed-Jet Substructure of Charm Jets Tagged by D^{0} Mesons in Proton-Proton Collisions at sqrt[s]=13 TeV

Understanding the role of parton mass and Casimir color factors in the quantum chromodynamics parton shower represents an important step in characterizing the emission properties of heavy quarks. Recent experimental advances in jet substructure techniques have provided the opportunity to isolate and characterize gluon emissions from heavy quarks. In this Letter, the first direct experimental constraint on the charm-quark splitting function is presented, obtained via the measurement of the groomed shared momentum fraction of the first splitting in charm jets, tagged by a reconstructed D^{0} meson. The measurement is made in proton-proton collisions at sqrt[s]=13  TeV, in the low jet transverse-momentum interval of 15≤p_{T}^{jet ch}<30  GeV/c where the emission properties are sensitive to parton mass effects. In addition, the opening angle of the first perturbative emission of the charm quark, as well as the number of perturbative emissions it undergoes, is reported. Comparisons to measurements of an inclusive-jet sample show a steeper splitting function for charm quarks compared with gluons and light quarks. Charm quarks also undergo fewer perturbative emissions in the parton shower, with a reduced probability of large-angle emissions.

A Symphony of Challenges: Multi-Drug Resistant Tuberculosis, Pleurocutaneous Fistula, and Empyema Necessitans in Concert

This case report details the clinical course of a 37-year-old male with multi-drug-resistant tuberculosis (MDR-TB) who initially presented with respiratory symptoms. Following a month of anti-TB therapy, the patient developed a painful chest swelling, diagnosed as empyema necessitans, with a subsequent spontaneous rupture leading to a pleurocutaneous fistula. Despite recommendations for surgery, the patient opted for active surveillance. The follow-up revealed symptom improvement. This case underscores the unique challenges of managing rare complications of MDR-TB, particularly when patients decline surgical interventions. The observed symptom improvement, despite the absence of surgery, illuminates the intricate decision-making process and alternative management strategies involved in addressing such complications, highlighting the complexities inherent in MDR-TB care.

IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model

The supply chain management (SCM) of COVID-19 vaccine is the most daunting task for logistics and supply managers due to temperature sensitivity and complex logistics process. Therefore, several technologies have been applied but the complexity of COVID-19 vaccine makes the Internet of Things (IoT) a strong use case due to its multiple features support like excursion notification, data sharing, connectivity management, secure shipping, real-time tracking and monitoring etc. All these features can only feasible through choosing and deploying the right IoT platform. However, selection of right IoT platform is also a major concern due to lack of experience and technical knowledge of supply chain managers and diversified landscape of IoT platforms. Therefore, we introduce a decision making model for evaluation and decision making of IoT platforms that fits for logistics and transportation (L&T) process of COVID-19 vaccine. This study initially identifies the major challenges addressed during the SCM of COVID-19 vaccine and then provides reasonable solution by presenting the assessment model for selection of rational IoT platform. The proposed model applies hybrid Multi Criteria Decision Making (MCDM) approach for evaluation. It also adopts Estimation-Talk-Estimation (ETE) approach for response collection during the survey. As, this is first kind of model so the proposed model is validated and tested by conducting a survey with experts. The results of the proposed decision making model are also verified by Simple Additive Weighting (SAW) technique which indicates higher results accuracy and reliability of the proposed model. Similarly, the proposed model yields the best possible results and it can be judged by the precision, accuracy and recall values i.e. 93%, 93% and 94% respectively. The survey-based testing also suggests that this model can be adopted in practical scenarios to deal with complexities which may arise during the decision making of IoT platform for COVID-19 SCM process.

Identification of novel peptide inhibitors for the KRas-G12C variant to prevent oncogenic signaling

Kirsten rat sarcoma viral oncogene homolog (KRas) activating mutations are common in solid tumors, accounting for 90%, 45%, and 35% of pancreatic, colorectal, and lung cancers (LC), respectively. Each year, nearly 150k new cases (both men and women) of KRas-mutated malignancies are reported in the United States. NSCLC (non-small cell lung cancer) accounts for 80% of all LC cases. KRas mutations are found in 15% to 25% of NSCLC patients. The main cause of NSCLC is the KRas-G12C mutation. The drugs Sotorasib and Adagrasib were recently developed to treat advanced NSCLC caused by the KRas-G12C mutation. Most patients do not respond to KRas-G12C inhibitors due to cellular, molecular, and genetic resistance. Because of their safety, efficacy, and selectivity, peptide inhibitors have the potential to treat newly developing KRas mutations. Based on the KRas mutations, peptide inhibitors that are highly selective and specific to individual lung cancers can be rationally designed. The current study uses an alanine and residue scanning approach to design peptide inhibitors for KRas-G12C based on the known peptide. Our findings show that substitution of F3K, G11T, L8C, T14C, K13D, G11S, and G11P considerably enhances the binding affinity of the novel peptides, whereas F3K, G11T, L8C, and T14C peptides have higher stability and favorable binding to the altered peptides. Overall, our study paves the road for the development of potential therapeutic peptidomimetics that target the KRas-G12C complex and may inhibit the KRas and SOS complex from interacting.Communicated by Ramaswamy H. Sarma.

Association of IL-17F rs2397084 (E126G), rs11465553 (V155I) and rs763780 (H161R) variants with rheumatoid arthritis and their effects on the stability of protein

Interleukin-17F (IL-17F), considered a pro-inflammatory cytokine, has been shown to contribute to skeletal tissue degradation and hence chronic inflammation in rheumatoid arthritis (RA). In this study we utilized bioinformatics tools to analyze the effect of three exonic SNPs (rs2397084, rs11465553, and rs763780) on the structure and function of the IL-17F gene, and evaluated their association with RA in Pakistani patients. The predicted deleterious and damaging effects of identified genetic variants were assessed through the utilization of multiple bioinformatics tools including PROVEAN, SNP&GO, SIFT, and PolyPhen2. Structural and functional effects of these variants on protein structures were evaluated through the use of additional tools such as I-Mutant, MutPred, and ConSurf. Three-dimensional (3D) models of both the wild-type and mutant proteins were constructed through the utilization of I-TASSER software, with subsequent structural comparisons between the models conducted through the use of the TM-align score. A total of 500 individuals, 250 cases and 250 controls, were genotyped through Tri-ARMS-PCR method and the resultant data was statistically analyzed using various inheritance models. Our bioinformatics analysis showed significant structural differences for wild type and mutant protein (TM-scores and RMSD values were 0.85934 and 2.34 for rs2397084 (E126G), 0.87388 and 2.49 for rs11465553 (V155I), and 0.86572 and 0.86572 for rs763780 (H161R) with decrease stability for the later. Overall, these tools enabled us to predict that these variants are crucial in causing disease phenotypes. We further tested each of these single nucleotide variants for their association with RA. Our analysis revealed a strong positive association between the genetic variant rs763780 and the risk of developing rheumatoid arthritis (RA) at both the genotypic and allelic levels. The genotypic association was statistically significant[χ2 = 111.8; P value <0.0001], as was the allelic level [OR 3.444 (2.539-4.672); P value 0.0008]. These findings suggest that the presence of this genetic variant may increase the susceptibility to RA. Similarly, we observed a significant distribution of the genetic variant rs11465553 at the genotypic level [χ2 = 25.24; P value = 0.0001]. However, this variant did not show a significant association with RA at the allelic level [OR = 1.194 (0.930-1.531); P value = 0.183]. However, the distribution of variant rs2397084 was more or less random across our sample with no significant association either at genotypic and or allelic level. Put together, our association study and in silico prediction of decreasing of IL17-F protein stabilty confirmed that two SNPs, rs11465553 and rs763780 are crucial to the suscetibility of and showed that these RA in Pakistani patients.

Measurement of the Lifetime and Λ Separation Energy of _{Λ}^{3}H

The most precise measurements to date of the _{Λ}^{3}H lifetime τ and Λ separation energy B_{Λ} are obtained using the data sample of Pb-Pb collisions at sqrt[s_{NN}]=5.02  TeV collected by ALICE at the LHC. The _{Λ}^{3}H is reconstructed via its charged two-body mesonic decay channel (_{Λ}^{3}H→^{3}He+π^{-} and the charge-conjugate process). The measured values τ=[253±11(stat)±6(syst)]  ps and B_{Λ}=[102±63(stat)±67(syst)]  keV are compatible with predictions from effective field theories and confirm that the _{Λ}^{3}H structure is consistent with a weakly bound system.

Experimental determination of concentration factors of Ni, Ru and Sb in the model diatom Phaeodactylum tricornutum

This paper describes the experimental determination of concentration factors (CF) for nickel, ruthenium and antimony in the model diatom Phaeodactylum tricornutum Bohlin (Bacillariophyceae), which was chosen as a representative of marine phytoplankton. Better determinations of these CF are needed to improve the modelling of marine ecosystems at release points, where radioactive pollutants enter the ecosystem, for more accurate predictions of radiation dose to humans caused by these pollutants. A literature study revealed that the currently implemented values of these CF are based on very scarce data, and a computational sensitivity study showed that the radiation dose caused by radioisotopes of these elements depend strongly on the phytoplankton CF. Nutrient-enriched water samples from Swedish coastal waters were used as a medium for growing of the diatom species P. tricornutum and radioactive isotopes of the studied elements were added to the cultures during the exponential growth phase. The radioactivity in the P. tricornutum and in the culture medium were measured separately and used for determination of CF. Conservative estimates of the CF based on this phytoplankton proxy on the present data are 6400 L/kg for nickel, 20,000 L/kg for ruthenium and 890 L/kg for antimony, with P. tricornutum biomass masses referring to dry weight. The estimates for nickel and ruthenium are similar to previously published values, which underpins the credibility of radiation dose calculations based on these values. The estimate for antimony is uncertain, but also, to our knowledge, represents the first published experimentally based data on this CF.

The effect of technological progress and income per capita on carbon dioxide emission: the moderating role of economic freedom

Climate change in context of environmental issues is pushing most of the countries to set the goals in order to achieve carbon neutrality and sustainable development. The recognition of Sustainable Development Goal (SDG) thirteen (13) is aided by the objective of this study which is to take an urgent action to combat climate change. In this context, this study investigates the effect of technological progress, income, and foreign direct investment on carbon dioxide emission by taking into consideration the moderating effect of economic freedom in 165 global countries from 2000 to 2020. The study employed ordinary least squares (OLS), fixed effects (FE), and two-step system generalized method of moments for analysis. The findings reveal that economic freedom, income per capita, foreign direct investment, and industry increase carbon dioxide emission while technological progress reduces emission in global countries. Surprisingly, economic freedom indirectly increases the level of carbon emissions by technological progress; however, economic freedom indirectly decreases the level of carbon emissions by income per capita. In this regard, this study favors clean eco-friendly technologies and seeks methods for development without harming the environment. Furthermore, the findings of this study have considerable policy suggestions for the sample countries.

Measurement of the J/ψ Polarization with Respect to the Event Plane in Pb-Pb Collisions at the LHC

We study the polarization of inclusive J/ψ produced in Pb-Pb collisions at sqrt[s_{NN}]=5.02  TeV at the LHC in the dimuon channel, via the measurement of the angular distribution of its decay products. We perform the study in the rapidity region 2.5 Collapse

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Affiliation(s)

S Acharya Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
D Adamová Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Řež, Czech Republic
A Adler Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik, Fachbereich Informatik und Mathematik, Frankfurt, Germany
G Aglieri Rinella European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Agnello Dipartimento DISAT del Politecnico and Sezione INFN, Turin, Italy
N Agrawal INFN, Sezione di Bologna, Bologna, Italy
Z Ahammed Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
S Ahmad Department of Physics, Aligarh Muslim University, Aligarh, India
S U Ahn Korea Institute of Science and Technology Information, Daejeon, Republic of Korea
I Ahuja Faculty of Science, Pavol Jozef Šafárik University, Košice, Slovak Republic
A Akindinov Affiliated with an institute covered by a cooperation agreement with CERN
M Al-Turany Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
D Aleksandrov Affiliated with an institute covered by a cooperation agreement with CERN
B Alessandro INFN, Sezione di Torino, Turin, Italy
H M Alfanda Central China Normal University, Wuhan, China
R Alfaro Molina Instituto de Física, Universidad Nacional Autónoma de México, Mexico City, Mexico
B Ali Department of Physics, Aligarh Muslim University, Aligarh, India
Y Ali COMSATS University Islamabad, Islamabad, Pakistan
A Alici Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Bologna, Italy
N Alizadehvandchali University of Houston, Houston, Texas, USA
A Alkin European Organization for Nuclear Research (CERN), Geneva, Switzerland
J Alme Department of Physics and Technology, University of Bergen, Bergen, Norway
G Alocco INFN, Sezione di Cagliari, Cagliari, Italy
T Alt Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
I Altsybeev Affiliated with an institute covered by a cooperation agreement with CERN
M N Anaam Central China Normal University, Wuhan, China
C Andrei Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania
A Andronic Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
V Anguelov Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
F Antinori INFN, Sezione di Padova, Padova, Italy
P Antonioli INFN, Sezione di Bologna, Bologna, Italy
C Anuj Department of Physics, Aligarh Muslim University, Aligarh, India
N Apadula Lawrence Berkeley National Laboratory, Berkeley, California, USA
L Aphecetche SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
H Appelshäuser Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
S Arcelli Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Bologna, Italy
R Arnaldi INFN, Sezione di Torino, Turin, Italy
I C Arsene Department of Physics, University of Oslo, Oslo, Norway
M Arslandok Yale University, New Haven, Connecticut, USA
A Augustinus European Organization for Nuclear Research (CERN), Geneva, Switzerland
R Averbeck Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
S Aziz Laboratoire de Physique des 2 Infinis, Irène Joliot-Curie, Orsay, France
M D Azmi Department of Physics, Aligarh Muslim University, Aligarh, India
A Badalà INFN, Sezione di Catania, Catania, Italy
Y W Baek Gangneung-Wonju National University, Gangneung, Republic of Korea
X Bai Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
R Bailhache Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
Y Bailung Indian Institute of Technology Indore, Indore, India
R Bala Physics Department, University of Jammu, Jammu, India
A Balbino Dipartimento DISAT del Politecnico and Sezione INFN, Turin, Italy
A Baldisseri Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
B Balis AGH University of Science and Technology, Cracow, Poland
D Banerjee Bose Institute, Department of Physics and Centre for Astroparticle Physics and Space Science (CAPSS), Kolkata, India
Z Banoo Physics Department, University of Jammu, Jammu, India
R Barbera Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Catania, Italy
L Barioglio Physik Department, Technische Universität München, Munich, Germany
M Barlou Department of Physics, School of Science, National and Kapodistrian University of Athens, Athens, Greece
G G Barnaföldi Wigner Research Centre for Physics, Budapest, Hungary
L S Barnby Nuclear Physics Group, STFC Daresbury Laboratory, Daresbury, United Kingdom
V Barret Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
L Barreto Universidade de São Paulo (USP), São Paulo, Brazil
C Bartels University of Liverpool, Liverpool, United Kingdom
K Barth European Organization for Nuclear Research (CERN), Geneva, Switzerland
E Bartsch Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
F Baruffaldi Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Padova, Italy
N Bastid Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
S Basu Lund University Department of Physics, Division of Particle Physics, Lund, Sweden
G Batigne SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
D Battistini Physik Department, Technische Universität München, Munich, Germany
B Batyunya Affiliated with an international laboratory covered by a cooperation agreement with CERN
D Bauri Indian Institute of Technology Bombay (IIT), Mumbai, India
J L Bazo Alba Sección Física, Departamento de Ciencias, Pontificia Universidad Católica del Perú, Lima, Peru
I G Bearden Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
C Beattie Yale University, New Haven, Connecticut, USA
P Becht Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
D Behera Indian Institute of Technology Indore, Indore, India
I Belikov Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
A D C Bell Hechavarria Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
F Bellini Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Bologna, Italy
R Bellwied University of Houston, Houston, Texas, USA
S Belokurova Affiliated with an institute covered by a cooperation agreement with CERN
V Belyaev Affiliated with an institute covered by a cooperation agreement with CERN
G Bencedi Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico Wigner Research Centre for Physics, Budapest, Hungary
S Beole Dipartimento di Fisica dell'Università and Sezione INFN, Turin, Italy
A Bercuci Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania
Y Berdnikov Affiliated with an institute covered by a cooperation agreement with CERN
A Berdnikova Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
L Bergmann Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
M G Besoiu Institute of Space Science (ISS), Bucharest, Romania
L Betev European Organization for Nuclear Research (CERN), Geneva, Switzerland
P P Bhaduri Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
A Bhasin Physics Department, University of Jammu, Jammu, India
I R Bhat Physics Department, University of Jammu, Jammu, India
M A Bhat Bose Institute, Department of Physics and Centre for Astroparticle Physics and Space Science (CAPSS), Kolkata, India
B Bhattacharjee Department of Physics, Gauhati University, Guwahati, India
L Bianchi Dipartimento di Fisica dell'Università and Sezione INFN, Turin, Italy
N Bianchi INFN, Laboratori Nazionali di Frascati, Frascati, Italy
J Bielčík Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
J Bielčíková Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Řež, Czech Republic
J Biernat The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
A Bilandzic Physik Department, Technische Universität München, Munich, Germany
G Biro Wigner Research Centre for Physics, Budapest, Hungary
S Biswas Bose Institute, Department of Physics and Centre for Astroparticle Physics and Space Science (CAPSS), Kolkata, India
J T Blair The University of Texas at Austin, Austin, Texas, USA
D Blau Affiliated with an institute covered by a cooperation agreement with CERN
M B Blidaru Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
N Bluhme Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
C Blume Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
G Boca Dipartimento di Fisica, Università di Pavia, Pavia, Italy INFN, Sezione di Pavia, Pavia, Italy
F Bock Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
T Bodova Department of Physics and Technology, University of Bergen, Bergen, Norway
A Bogdanov Affiliated with an institute covered by a cooperation agreement with CERN
S Boi Dipartimento di Fisica dell'Università and Sezione INFN, Cagliari, Italy
J Bok Inha University, Incheon, Republic of Korea
L Boldizsár Wigner Research Centre for Physics, Budapest, Hungary
A Bolozdynya Affiliated with an institute covered by a cooperation agreement with CERN
M Bombara Faculty of Science, Pavol Jozef Šafárik University, Košice, Slovak Republic
P M Bond European Organization for Nuclear Research (CERN), Geneva, Switzerland
G Bonomi INFN, Sezione di Pavia, Pavia, Italy Università di Brescia, Brescia, Italy
H Borel Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
A Borissov Affiliated with an institute covered by a cooperation agreement with CERN
H Bossi Yale University, New Haven, Connecticut, USA
E Botta Dipartimento di Fisica dell'Università and Sezione INFN, Turin, Italy
L Bratrud Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
P Braun-Munzinger Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
M Bregant Universidade de São Paulo (USP), São Paulo, Brazil
M Broz Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
G E Bruno Dipartimento Interateneo di Fisica "M. Merlin" and Sezione INFN, Bari, Italy Politecnico di Bari and Sezione INFN, Bari, Italy
M D Buckland University of Liverpool, Liverpool, United Kingdom
D Budnikov Affiliated with an institute covered by a cooperation agreement with CERN
H Buesching Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
S Bufalino Dipartimento DISAT del Politecnico and Sezione INFN, Turin, Italy
O Bugnon SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
P Buhler Stefan Meyer Institut für Subatomare Physik (SMI), Vienna, Austria
Z Buthelezi iThemba LABS, National Research Foundation, Somerset West, South Africa University of the Witwatersrand, Johannesburg, South Africa
J B Butt COMSATS University Islamabad, Islamabad, Pakistan
A Bylinkin University of Kansas, Lawrence, Kansas, USA
S A Bysiak The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
M Cai Central China Normal University, Wuhan, China Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Padova, Italy
H Caines Yale University, New Haven, Connecticut, USA
A Caliva Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
E Calvo Villar Sección Física, Departamento de Ciencias, Pontificia Universidad Católica del Perú, Lima, Peru
J M M Camacho Universidad Autónoma de Sinaloa, Culiacán, Mexico
R S Camacho High Energy Physics Group, Universidad Autónoma de Puebla, Puebla, Mexico
P Camerini Dipartimento di Fisica dell'Università and Sezione INFN, Trieste, Italy
F D M Canedo Universidade de São Paulo (USP), São Paulo, Brazil
M Carabas University Politehnica of Bucharest, Bucharest, Romania
F Carnesecchi European Organization for Nuclear Research (CERN), Geneva, Switzerland
R Caron CNRS/IN2P3, Institut de Physique des 2 Infinis de Lyon, Université de Lyon, Lyon, France Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
J Castillo Castellanos Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
F Catalano Dipartimento DISAT del Politecnico and Sezione INFN, Turin, Italy
C Ceballos Sanchez Affiliated with an international laboratory covered by a cooperation agreement with CERN
I Chakaberia Lawrence Berkeley National Laboratory, Berkeley, California, USA
P Chakraborty Indian Institute of Technology Bombay (IIT), Mumbai, India
S Chandra Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
S Chapeland European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Chartier University of Liverpool, Liverpool, United Kingdom
S Chattopadhyay Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
S Chattopadhyay Saha Institute of Nuclear Physics, Homi Bhabha National Institute, Kolkata, India
T G Chavez High Energy Physics Group, Universidad Autónoma de Puebla, Puebla, Mexico
T Cheng Central China Normal University, Wuhan, China
C Cheshkov CNRS/IN2P3, Institut de Physique des 2 Infinis de Lyon, Université de Lyon, Lyon, France
B Cheynis CNRS/IN2P3, Institut de Physique des 2 Infinis de Lyon, Université de Lyon, Lyon, France
V Chibante Barroso European Organization for Nuclear Research (CERN), Geneva, Switzerland
D D Chinellato Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil
E S Chizzali Physik Department, Technische Universität München, Munich, Germany
J Cho Inha University, Incheon, Republic of Korea
S Cho Inha University, Incheon, Republic of Korea
P Chochula European Organization for Nuclear Research (CERN), Geneva, Switzerland
P Christakoglou Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands
C H Christensen Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
P Christiansen Lund University Department of Physics, Division of Particle Physics, Lund, Sweden
T Chujo University of Tsukuba, Tsukuba, Japan
M Ciacco Dipartimento DISAT del Politecnico and Sezione INFN, Turin, Italy
C Cicalo INFN, Sezione di Cagliari, Cagliari, Italy
L Cifarelli Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Bologna, Italy
F Cindolo INFN, Sezione di Bologna, Bologna, Italy
M R Ciupek Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
G Clai INFN, Sezione di Bologna, Bologna, Italy
F Colamaria INFN, Sezione di Bari, Bari, Italy
J S Colburn School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom
D Colella Dipartimento Interateneo di Fisica "M. Merlin" and Sezione INFN, Bari, Italy Politecnico di Bari and Sezione INFN, Bari, Italy
A Collu Lawrence Berkeley National Laboratory, Berkeley, California, USA
M Colocci European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Concas INFN, Sezione di Torino, Turin, Italy
G Conesa Balbastre Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes, CNRS-IN2P3, Grenoble, France
Z Conesa Del Valle Laboratoire de Physique des 2 Infinis, Irène Joliot-Curie, Orsay, France
G Contin Dipartimento di Fisica dell'Università and Sezione INFN, Trieste, Italy
J G Contreras Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
M L Coquet Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
T M Cormier Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
P Cortese INFN, Sezione di Torino, Turin, Italy Università del Piemonte Orientale, Vercelli, Italy
M R Cosentino Universidade Federal do ABC, Santo Andre, Brazil
F Costa European Organization for Nuclear Research (CERN), Geneva, Switzerland
S Costanza Dipartimento di Fisica, Università di Pavia, Pavia, Italy INFN, Sezione di Pavia, Pavia, Italy
P Crochet Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
R Cruz-Torres Lawrence Berkeley National Laboratory, Berkeley, California, USA
E Cuautle Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
P Cui Central China Normal University, Wuhan, China
L Cunqueiro Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
A Dainese INFN, Sezione di Padova, Padova, Italy
M C Danisch Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
A Danu Institute of Space Science (ISS), Bucharest, Romania
P Das National Institute of Science Education and Research, Homi Bhabha National Institute, Jatni, India
P Das Bose Institute, Department of Physics and Centre for Astroparticle Physics and Space Science (CAPSS), Kolkata, India
S Das Bose Institute, Department of Physics and Centre for Astroparticle Physics and Space Science (CAPSS), Kolkata, India
S Dash Indian Institute of Technology Bombay (IIT), Mumbai, India
A De Caro Dipartimento di Fisica "E.R. Caianiello" dell'Università and Gruppo Collegato INFN, Salerno, Italy
G de Cataldo INFN, Sezione di Bari, Bari, Italy
L De Cilladi Dipartimento di Fisica dell'Università and Sezione INFN, Turin, Italy
J de Cuveland Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
A De Falco Dipartimento di Fisica dell'Università and Sezione INFN, Cagliari, Italy
D De Gruttola Dipartimento di Fisica "E.R. Caianiello" dell'Università and Gruppo Collegato INFN, Salerno, Italy
N De Marco INFN, Sezione di Torino, Turin, Italy
C De Martin Dipartimento di Fisica dell'Università and Sezione INFN, Trieste, Italy
S De Pasquale Dipartimento di Fisica "E.R. Caianiello" dell'Università and Gruppo Collegato INFN, Salerno, Italy
S Deb Indian Institute of Technology Indore, Indore, India
H F Degenhardt Universidade de São Paulo (USP), São Paulo, Brazil
K R Deja Warsaw University of Technology, Warsaw, Poland
R Del Grande Physik Department, Technische Universität München, Munich, Germany
L Dello Stritto Dipartimento di Fisica "E.R. Caianiello" dell'Università and Gruppo Collegato INFN, Salerno, Italy
W Deng Central China Normal University, Wuhan, China
P Dhankher Department of Physics, University of California, Berkeley, California, USA
D Di Bari Dipartimento Interateneo di Fisica "M. Merlin" and Sezione INFN, Bari, Italy
A Di Mauro European Organization for Nuclear Research (CERN), Geneva, Switzerland
R A Diaz Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear (CEADEN), Havana, Cuba Affiliated with an international laboratory covered by a cooperation agreement with CERN
T Dietel University of Cape Town, Cape Town, South Africa
Y Ding Central China Normal University, Wuhan, China CNRS/IN2P3, Institut de Physique des 2 Infinis de Lyon, Université de Lyon, Lyon, France
R Divià European Organization for Nuclear Research (CERN), Geneva, Switzerland
D U Dixit Department of Physics, University of California, Berkeley, California, USA
Ø Djuvsland Department of Physics and Technology, University of Bergen, Bergen, Norway
U Dmitrieva Affiliated with an institute covered by a cooperation agreement with CERN
A Dobrin Institute of Space Science (ISS), Bucharest, Romania
B Dönigus Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
A K Dubey Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
J M Dubinski Warsaw University of Technology, Warsaw, Poland
A Dubla Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
S Dudi Physics Department, Panjab University, Chandigarh, India
P Dupieux Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
M Durkac Technical University of Košice, Košice, Slovak Republic
N Dzalaiova Comenius University Bratislava, Faculty of Mathematics, Physics and Informatics, Bratislava, Slovak Republic
T M Eder Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
R J Ehlers Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
V N Eikeland Department of Physics and Technology, University of Bergen, Bergen, Norway
F Eisenhut Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
D Elia INFN, Sezione di Bari, Bari, Italy
B Erazmus SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
F Ercolessi Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Bologna, Italy
F Erhardt Physics Department, Faculty of Science, University of Zagreb, Zagreb, Croatia
M R Ersdal Department of Physics and Technology, University of Bergen, Bergen, Norway
B Espagnon Laboratoire de Physique des 2 Infinis, Irène Joliot-Curie, Orsay, France
G Eulisse European Organization for Nuclear Research (CERN), Geneva, Switzerland
D Evans School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom
S Evdokimov Affiliated with an institute covered by a cooperation agreement with CERN
L Fabbietti Physik Department, Technische Universität München, Munich, Germany
M Faggin Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Padova, Italy
J Faivre Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes, CNRS-IN2P3, Grenoble, France
F Fan Central China Normal University, Wuhan, China
W Fan Lawrence Berkeley National Laboratory, Berkeley, California, USA
A Fantoni INFN, Laboratori Nazionali di Frascati, Frascati, Italy
M Fasel Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
P Fecchio Dipartimento DISAT del Politecnico and Sezione INFN, Turin, Italy
A Feliciello INFN, Sezione di Torino, Turin, Italy
G Feofilov Affiliated with an institute covered by a cooperation agreement with CERN
A Fernández Téllez High Energy Physics Group, Universidad Autónoma de Puebla, Puebla, Mexico
M B Ferrer European Organization for Nuclear Research (CERN), Geneva, Switzerland
A Ferrero Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
A Ferretti Dipartimento di Fisica dell'Università and Sezione INFN, Turin, Italy
V J G Feuillard Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
J Figiel The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
V Filova Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
D Finogeev Affiliated with an institute covered by a cooperation agreement with CERN
F M Fionda INFN, Sezione di Cagliari, Cagliari, Italy
G Fiorenza Politecnico di Bari and Sezione INFN, Bari, Italy
F Flor University of Houston, Houston, Texas, USA
A N Flores The University of Texas at Austin, Austin, Texas, USA
S Foertsch iThemba LABS, National Research Foundation, Somerset West, South Africa
I Fokin Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
S Fokin Affiliated with an institute covered by a cooperation agreement with CERN
E Fragiacomo INFN, Sezione di Trieste, Trieste, Italy
E Frajna Wigner Research Centre for Physics, Budapest, Hungary
U Fuchs European Organization for Nuclear Research (CERN), Geneva, Switzerland
N Funicello Dipartimento di Fisica "E.R. Caianiello" dell'Università and Gruppo Collegato INFN, Salerno, Italy
C Furget Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes, CNRS-IN2P3, Grenoble, France
A Furs Affiliated with an institute covered by a cooperation agreement with CERN
J J Gaardhøje Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
M Gagliardi Dipartimento di Fisica dell'Università and Sezione INFN, Turin, Italy
A M Gago Sección Física, Departamento de Ciencias, Pontificia Universidad Católica del Perú, Lima, Peru
A Gal Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
C D Galvan Universidad Autónoma de Sinaloa, Culiacán, Mexico
P Ganoti Department of Physics, School of Science, National and Kapodistrian University of Athens, Athens, Greece
C Garabatos Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
J R A Garcia High Energy Physics Group, Universidad Autónoma de Puebla, Puebla, Mexico
E Garcia-Solis Chicago State University, Chicago, Illinois, USA
K Garg SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
C Gargiulo European Organization for Nuclear Research (CERN), Geneva, Switzerland
A Garibli National Nuclear Research Center, Baku, Azerbaijan
K Garner Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
E F Gauger The University of Texas at Austin, Austin, Texas, USA
A Gautam University of Kansas, Lawrence, Kansas, USA
M B Gay Ducati Instituto de Física, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
M Germain SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
S K Ghosh Bose Institute, Department of Physics and Centre for Astroparticle Physics and Space Science (CAPSS), Kolkata, India
M Giacalone Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Bologna, Italy
P Gianotti INFN, Laboratori Nazionali di Frascati, Frascati, Italy
P Giubellino INFN, Sezione di Torino, Turin, Italy Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
P Giubilato Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Padova, Italy
A M C Glaenzer Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
P Glässel Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
E Glimos University of Tennessee, Knoxville, Tennessee, USA
D J Q Goh Nagasaki Institute of Applied Science, Nagasaki, Japan
V Gonzalez Wayne State University, Detroit, Michigan, USA
L H González-Trueba Instituto de Física, Universidad Nacional Autónoma de México, Mexico City, Mexico
S Gorbunov Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
M Gorgon AGH University of Science and Technology, Cracow, Poland
L Görlich The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
S Gotovac Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia
V Grabski Instituto de Física, Universidad Nacional Autónoma de México, Mexico City, Mexico
L K Graczykowski Warsaw University of Technology, Warsaw, Poland
E Grecka Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Řež, Czech Republic
L Greiner Lawrence Berkeley National Laboratory, Berkeley, California, USA
A Grelli Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands
C Grigoras European Organization for Nuclear Research (CERN), Geneva, Switzerland
V Grigoriev Affiliated with an institute covered by a cooperation agreement with CERN
S Grigoryan A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute) Foundation, Yerevan, Armenia Affiliated with an international laboratory covered by a cooperation agreement with CERN
F Grosa European Organization for Nuclear Research (CERN), Geneva, Switzerland
J F Grosse-Oetringhaus European Organization for Nuclear Research (CERN), Geneva, Switzerland
R Grosso Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
D Grund Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
G G Guardiano Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil
R Guernane Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes, CNRS-IN2P3, Grenoble, France
M Guilbaud SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
K Gulbrandsen Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
T Gunji University of Tokyo, Tokyo, Japan
W Guo Central China Normal University, Wuhan, China
A Gupta Physics Department, University of Jammu, Jammu, India
R Gupta Physics Department, University of Jammu, Jammu, India
S P Guzman High Energy Physics Group, Universidad Autónoma de Puebla, Puebla, Mexico
L Gyulai Wigner Research Centre for Physics, Budapest, Hungary
M K Habib Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
C Hadjidakis Laboratoire de Physique des 2 Infinis, Irène Joliot-Curie, Orsay, France
H Hamagaki Nagasaki Institute of Applied Science, Nagasaki, Japan
M Hamid Central China Normal University, Wuhan, China
Y Han Yonsei University, Seoul, Republic of Korea
R Hannigan The University of Texas at Austin, Austin, Texas, USA
M R Haque Warsaw University of Technology, Warsaw, Poland
A Harlenderova Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
J W Harris Yale University, New Haven, Connecticut, USA
A Harton Chicago State University, Chicago, Illinois, USA
J A Hasenbichler European Organization for Nuclear Research (CERN), Geneva, Switzerland
H Hassan Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
D Hatzifotiadou INFN, Sezione di Bologna, Bologna, Italy
P Hauer Helmholtz-Institut für Strahlen- und Kernphysik, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
L B Havener Yale University, New Haven, Connecticut, USA
S T Heckel Physik Department, Technische Universität München, Munich, Germany
E Hellbär Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
H Helstrup Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway
T Herman Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
G Herrera Corral Centro de Investigación y de Estudios Avanzados (CINVESTAV), Mexico City and Mérida, Mexico
F Herrmann Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
K F Hetland Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway
B Heybeck Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
H Hillemanns European Organization for Nuclear Research (CERN), Geneva, Switzerland
C Hills University of Liverpool, Liverpool, United Kingdom
B Hippolyte Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
B Hofman Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands
B Hohlweger Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands
J Honermann Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
G H Hong Yonsei University, Seoul, Republic of Korea
D Horak Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
A Horzyk AGH University of Science and Technology, Cracow, Poland
R Hosokawa Creighton University, Omaha, Nebraska, USA
Y Hou Central China Normal University, Wuhan, China
P Hristov European Organization for Nuclear Research (CERN), Geneva, Switzerland
C Hughes University of Tennessee, Knoxville, Tennessee, USA
P Huhn Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
L M Huhta University of Jyväskylä, Jyväskylä, Finland
C V Hulse Laboratoire de Physique des 2 Infinis, Irène Joliot-Curie, Orsay, France
T J Humanic Ohio State University, Columbus, Ohio, USA
H Hushnud Saha Institute of Nuclear Physics, Homi Bhabha National Institute, Kolkata, India
A Hutson University of Houston, Houston, Texas, USA
D Hutter Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
J P Iddon University of Liverpool, Liverpool, United Kingdom
R Ilkaev Affiliated with an institute covered by a cooperation agreement with CERN
H Ilyas COMSATS University Islamabad, Islamabad, Pakistan
M Inaba University of Tsukuba, Tsukuba, Japan
G M Innocenti European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Ippolitov Affiliated with an institute covered by a cooperation agreement with CERN
A Isakov Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Řež, Czech Republic
T Isidori University of Kansas, Lawrence, Kansas, USA
M S Islam Saha Institute of Nuclear Physics, Homi Bhabha National Institute, Kolkata, India
M Ivanov Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
V Ivanov Affiliated with an institute covered by a cooperation agreement with CERN
V Izucheev Affiliated with an institute covered by a cooperation agreement with CERN
M Jablonski AGH University of Science and Technology, Cracow, Poland
B Jacak Lawrence Berkeley National Laboratory, Berkeley, California, USA
N Jacazio European Organization for Nuclear Research (CERN), Geneva, Switzerland
P M Jacobs Lawrence Berkeley National Laboratory, Berkeley, California, USA
S Jadlovska Technical University of Košice, Košice, Slovak Republic
J Jadlovsky Technical University of Košice, Košice, Slovak Republic
L Jaffe Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
C Jahnke Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil
M A Janik Warsaw University of Technology, Warsaw, Poland
T Janson Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik, Fachbereich Informatik und Mathematik, Frankfurt, Germany
M Jercic Physics Department, Faculty of Science, University of Zagreb, Zagreb, Croatia
O Jevons School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom
A A P Jimenez Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
F Jonas Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
P G Jones School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom
J M Jowett European Organization for Nuclear Research (CERN), Geneva, Switzerland Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
J Jung Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
M Jung Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
A Junique European Organization for Nuclear Research (CERN), Geneva, Switzerland
A Jusko School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom
M J Kabus European Organization for Nuclear Research (CERN), Geneva, Switzerland Warsaw University of Technology, Warsaw, Poland
J Kaewjai Suranaree University of Technology, Nakhon Ratchasima, Thailand
P Kalinak Institute of Experimental Physics, Slovak Academy of Sciences, Košice, Slovak Republic
A S Kalteyer Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
A Kalweit European Organization for Nuclear Research (CERN), Geneva, Switzerland
V Kaplin Affiliated with an institute covered by a cooperation agreement with CERN
A Karasu Uysal KTO Karatay University, Konya, Turkey
D Karatovic Physics Department, Faculty of Science, University of Zagreb, Zagreb, Croatia
O Karavichev Affiliated with an institute covered by a cooperation agreement with CERN
T Karavicheva Affiliated with an institute covered by a cooperation agreement with CERN
P Karczmarczyk Warsaw University of Technology, Warsaw, Poland
E Karpechev Affiliated with an institute covered by a cooperation agreement with CERN
V Kashyap National Institute of Science Education and Research, Homi Bhabha National Institute, Jatni, India
A Kazantsev Affiliated with an institute covered by a cooperation agreement with CERN
U Kebschull Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik, Fachbereich Informatik und Mathematik, Frankfurt, Germany
R Keidel Zentrum für Technologie und Transfer (ZTT), Worms, Germany
D L D Keijdener Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands
M Keil European Organization for Nuclear Research (CERN), Geneva, Switzerland
B Ketzer Helmholtz-Institut für Strahlen- und Kernphysik, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
A M Khan Central China Normal University, Wuhan, China
S Khan Department of Physics, Aligarh Muslim University, Aligarh, India
A Khanzadeev Affiliated with an institute covered by a cooperation agreement with CERN
Y Kharlov Affiliated with an institute covered by a cooperation agreement with CERN
A Khatun Department of Physics, Aligarh Muslim University, Aligarh, India
A Khuntia The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
B Kileng Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway
B Kim Department of Physics, Pusan National University, Pusan, Republic of Korea
C Kim Department of Physics, Pusan National University, Pusan, Republic of Korea
D J Kim University of Jyväskylä, Jyväskylä, Finland
E J Kim Jeonbuk National University, Jeonju, Republic of Korea
J Kim Yonsei University, Seoul, Republic of Korea
J S Kim Gangneung-Wonju National University, Gangneung, Republic of Korea
J Kim Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
J Kim Jeonbuk National University, Jeonju, Republic of Korea
M Kim Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
S Kim Department of Physics, Sejong University, Seoul, Republic of Korea
T Kim Yonsei University, Seoul, Republic of Korea
S Kirsch Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
I Kisel Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
S Kiselev Affiliated with an institute covered by a cooperation agreement with CERN
A Kisiel Warsaw University of Technology, Warsaw, Poland
J P Kitowski AGH University of Science and Technology, Cracow, Poland
J L Klay California Polytechnic State University, San Luis Obispo, California, USA
J Klein European Organization for Nuclear Research (CERN), Geneva, Switzerland
S Klein Lawrence Berkeley National Laboratory, Berkeley, California, USA
C Klein-Bösing Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
M Kleiner Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
T Klemenz Physik Department, Technische Universität München, Munich, Germany
A Kluge European Organization for Nuclear Research (CERN), Geneva, Switzerland
A G Knospe University of Houston, Houston, Texas, USA
C Kobdaj Suranaree University of Technology, Nakhon Ratchasima, Thailand
T Kollegger Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
A Kondratyev Affiliated with an international laboratory covered by a cooperation agreement with CERN
N Kondratyeva Affiliated with an institute covered by a cooperation agreement with CERN
E Kondratyuk Affiliated with an institute covered by a cooperation agreement with CERN
J Konig Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
S A Konigstorfer Physik Department, Technische Universität München, Munich, Germany
P J Konopka European Organization for Nuclear Research (CERN), Geneva, Switzerland
G Kornakov Warsaw University of Technology, Warsaw, Poland
S D Koryciak AGH University of Science and Technology, Cracow, Poland
A Kotliarov Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Řež, Czech Republic
O Kovalenko National Centre for Nuclear Research, Warsaw, Poland
V Kovalenko Affiliated with an institute covered by a cooperation agreement with CERN
M Kowalski The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
I Králik Institute of Experimental Physics, Slovak Academy of Sciences, Košice, Slovak Republic
A Kravčáková Faculty of Science, Pavol Jozef Šafárik University, Košice, Slovak Republic
L Kreis Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
M Krivda Institute of Experimental Physics, Slovak Academy of Sciences, Košice, Slovak Republic School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom
F Krizek Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Řež, Czech Republic
K Krizkova Gajdosova Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
M Kroesen Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
M Krüger Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
D M Krupova Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
E Kryshen Affiliated with an institute covered by a cooperation agreement with CERN
M Krzewicki Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
V Kučera European Organization for Nuclear Research (CERN), Geneva, Switzerland
C Kuhn Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
P G Kuijer Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands
T Kumaoka University of Tsukuba, Tsukuba, Japan
D Kumar Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
L Kumar Physics Department, Panjab University, Chandigarh, India
N Kumar Physics Department, Panjab University, Chandigarh, India
S Kundu European Organization for Nuclear Research (CERN), Geneva, Switzerland
P Kurashvili National Centre for Nuclear Research, Warsaw, Poland
A Kurepin Affiliated with an institute covered by a cooperation agreement with CERN
A B Kurepin Affiliated with an institute covered by a cooperation agreement with CERN
S Kushpil Nuclear Physics Institute of the Czech Academy of Sciences, Husinec-Řež, Czech Republic
J Kvapil School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom
M J Kweon Inha University, Incheon, Republic of Korea
J Y Kwon Inha University, Incheon, Republic of Korea
Y Kwon Yonsei University, Seoul, Republic of Korea
S L La Pointe Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
P La Rocca Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Catania, Italy
Y S Lai Lawrence Berkeley National Laboratory, Berkeley, California, USA
A Lakrathok Suranaree University of Technology, Nakhon Ratchasima, Thailand
M Lamanna European Organization for Nuclear Research (CERN), Geneva, Switzerland
R Langoy University of South-Eastern Norway, Kongsberg, Norway
P Larionov INFN, Laboratori Nazionali di Frascati, Frascati, Italy
E Laudi European Organization for Nuclear Research (CERN), Geneva, Switzerland
L Lautner European Organization for Nuclear Research (CERN), Geneva, Switzerland Physik Department, Technische Universität München, Munich, Germany
R Lavicka Stefan Meyer Institut für Subatomare Physik (SMI), Vienna, Austria
T Lazareva Affiliated with an institute covered by a cooperation agreement with CERN
R Lea INFN, Sezione di Pavia, Pavia, Italy Università di Brescia, Brescia, Italy
J Lehrbach Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
R C Lemmon Nuclear Physics Group, STFC Daresbury Laboratory, Daresbury, United Kingdom
I León Monzón Universidad Autónoma de Sinaloa, Culiacán, Mexico
M M Lesch Physik Department, Technische Universität München, Munich, Germany
E D Lesser Department of Physics, University of California, Berkeley, California, USA
M Lettrich Physik Department, Technische Universität München, Munich, Germany
P Lévai Wigner Research Centre for Physics, Budapest, Hungary
X Li China Institute of Atomic Energy, Beijing, China
X L Li Central China Normal University, Wuhan, China
J Lien University of South-Eastern Norway, Kongsberg, Norway
R Lietava School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom
B Lim Department of Physics, Pusan National University, Pusan, Republic of Korea
S H Lim Department of Physics, Pusan National University, Pusan, Republic of Korea
V Lindenstruth Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
A Lindner Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania
C Lippmann Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
A Liu Department of Physics, University of California, Berkeley, California, USA
D H Liu Central China Normal University, Wuhan, China
J Liu University of Liverpool, Liverpool, United Kingdom
I M Lofnes Department of Physics and Technology, University of Bergen, Bergen, Norway
V Loginov Affiliated with an institute covered by a cooperation agreement with CERN
C Loizides Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
P Loncar Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia
J A Lopez Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
X Lopez Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
E López Torres Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear (CEADEN), Havana, Cuba
P Lu Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany University of Science and Technology of China, Hefei, China
J R Luhder Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
M Lunardon Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Padova, Italy
G Luparello INFN, Sezione di Trieste, Trieste, Italy
Y G Ma Fudan University, Shanghai, China
A Maevskaya Affiliated with an institute covered by a cooperation agreement with CERN
M Mager European Organization for Nuclear Research (CERN), Geneva, Switzerland
T Mahmoud Helmholtz-Institut für Strahlen- und Kernphysik, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
A Maire Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
M Malaev Affiliated with an institute covered by a cooperation agreement with CERN
N M Malik Physics Department, University of Jammu, Jammu, India
Q W Malik Department of Physics, University of Oslo, Oslo, Norway
S K Malik Physics Department, University of Jammu, Jammu, India
L Malinina Affiliated with an international laboratory covered by a cooperation agreement with CERN
D Mal'Kevich Affiliated with an institute covered by a cooperation agreement with CERN
D Mallick National Institute of Science Education and Research, Homi Bhabha National Institute, Jatni, India
N Mallick Indian Institute of Technology Indore, Indore, India
G Mandaglio Dipartimento di Scienze MIFT, Università di Messina, Messina, Italy INFN, Sezione di Catania, Catania, Italy
V Manko Affiliated with an institute covered by a cooperation agreement with CERN
F Manso Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
V Manzari INFN, Sezione di Bari, Bari, Italy
Y Mao Central China Normal University, Wuhan, China
G V Margagliotti Dipartimento di Fisica dell'Università and Sezione INFN, Trieste, Italy
A Margotti INFN, Sezione di Bologna, Bologna, Italy
A Marín Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
C Markert The University of Texas at Austin, Austin, Texas, USA
M Marquard Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
N A Martin Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
P Martinengo European Organization for Nuclear Research (CERN), Geneva, Switzerland
J L Martinez University of Houston, Houston, Texas, USA
M I Martínez High Energy Physics Group, Universidad Autónoma de Puebla, Puebla, Mexico
G Martínez García SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
S Masciocchi Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
M Masera Dipartimento di Fisica dell'Università and Sezione INFN, Turin, Italy
A Masoni INFN, Sezione di Cagliari, Cagliari, Italy
L Massacrier Laboratoire de Physique des 2 Infinis, Irène Joliot-Curie, Orsay, France
A Mastroserio INFN, Sezione di Bari, Bari, Italy Università degli Studi di Foggia, Foggia, Italy
A M Mathis Physik Department, Technische Universität München, Munich, Germany
O Matonoha Lund University Department of Physics, Division of Particle Physics, Lund, Sweden
P F T Matuoka Universidade de São Paulo (USP), São Paulo, Brazil
A Matyja The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
C Mayer The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
A L Mazuecos European Organization for Nuclear Research (CERN), Geneva, Switzerland
F Mazzaschi Dipartimento di Fisica dell'Università and Sezione INFN, Turin, Italy
M Mazzilli European Organization for Nuclear Research (CERN), Geneva, Switzerland
J E Mdhluli University of the Witwatersrand, Johannesburg, South Africa
A F Mechler Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
Y Melikyan Affiliated with an institute covered by a cooperation agreement with CERN
A Menchaca-Rocha Instituto de Física, Universidad Nacional Autónoma de México, Mexico City, Mexico
E Meninno Dipartimento di Fisica "E.R. Caianiello" dell'Università and Gruppo Collegato INFN, Salerno, Italy Stefan Meyer Institut für Subatomare Physik (SMI), Vienna, Austria
A S Menon University of Houston, Houston, Texas, USA
M Meres Comenius University Bratislava, Faculty of Mathematics, Physics and Informatics, Bratislava, Slovak Republic
S Mhlanga iThemba LABS, National Research Foundation, Somerset West, South Africa University of Cape Town, Cape Town, South Africa
Y Miake University of Tsukuba, Tsukuba, Japan
L Micheletti INFN, Sezione di Torino, Turin, Italy
L C Migliorin CNRS/IN2P3, Institut de Physique des 2 Infinis de Lyon, Université de Lyon, Lyon, France
D L Mihaylov Physik Department, Technische Universität München, Munich, Germany
K Mikhaylov Affiliated with an institute covered by a cooperation agreement with CERN Affiliated with an international laboratory covered by a cooperation agreement with CERN
A N Mishra Wigner Research Centre for Physics, Budapest, Hungary
D Miśkowiec Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
A Modak Bose Institute, Department of Physics and Centre for Astroparticle Physics and Space Science (CAPSS), Kolkata, India
A P Mohanty Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands
B Mohanty National Institute of Science Education and Research, Homi Bhabha National Institute, Jatni, India
M Mohisin Khan Department of Physics, Aligarh Muslim University, Aligarh, India
M A Molander Helsinki Institute of Physics (HIP), Helsinki, Finland
Z Moravcova Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
C Mordasini Physik Department, Technische Universität München, Munich, Germany
D A Moreira De Godoy Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
I Morozov Affiliated with an institute covered by a cooperation agreement with CERN
A Morsch European Organization for Nuclear Research (CERN), Geneva, Switzerland
T Mrnjavac European Organization for Nuclear Research (CERN), Geneva, Switzerland
V Muccifora INFN, Laboratori Nazionali di Frascati, Frascati, Italy
E Mudnic Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia
S Muhuri Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
J D Mulligan Lawrence Berkeley National Laboratory, Berkeley, California, USA
A Mulliri Dipartimento di Fisica dell'Università and Sezione INFN, Cagliari, Italy
M G Munhoz Universidade de São Paulo (USP), São Paulo, Brazil
R H Munzer Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
H Murakami University of Tokyo, Tokyo, Japan
S Murray University of Cape Town, Cape Town, South Africa
L Musa European Organization for Nuclear Research (CERN), Geneva, Switzerland
J Musinsky Institute of Experimental Physics, Slovak Academy of Sciences, Košice, Slovak Republic
J W Myrcha Warsaw University of Technology, Warsaw, Poland
B Naik University of the Witwatersrand, Johannesburg, South Africa
R Nair National Centre for Nuclear Research, Warsaw, Poland
B K Nandi Indian Institute of Technology Bombay (IIT), Mumbai, India
R Nania INFN, Sezione di Bologna, Bologna, Italy
E Nappi INFN, Sezione di Bari, Bari, Italy
A F Nassirpour Lund University Department of Physics, Division of Particle Physics, Lund, Sweden
A Nath Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
C Nattrass University of Tennessee, Knoxville, Tennessee, USA
A Neagu Department of Physics, University of Oslo, Oslo, Norway
A Negru University Politehnica of Bucharest, Bucharest, Romania
L Nellen Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
S V Nesbo Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway
G Neskovic Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
D Nesterov Affiliated with an institute covered by a cooperation agreement with CERN
B S Nielsen Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
E G Nielsen Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
S Nikolaev Affiliated with an institute covered by a cooperation agreement with CERN
S Nikulin Affiliated with an institute covered by a cooperation agreement with CERN
V Nikulin Affiliated with an institute covered by a cooperation agreement with CERN
F Noferini INFN, Sezione di Bologna, Bologna, Italy
S Noh Chungbuk National University, Cheongju, Republic of Korea
P Nomokonov Affiliated with an international laboratory covered by a cooperation agreement with CERN
J Norman University of Liverpool, Liverpool, United Kingdom
N Novitzky University of Tsukuba, Tsukuba, Japan
P Nowakowski Warsaw University of Technology, Warsaw, Poland
A Nyanin Affiliated with an institute covered by a cooperation agreement with CERN
J Nystrand Department of Physics and Technology, University of Bergen, Bergen, Norway
M Ogino Nagasaki Institute of Applied Science, Nagasaki, Japan
A Ohlson Lund University Department of Physics, Division of Particle Physics, Lund, Sweden
V A Okorokov Affiliated with an institute covered by a cooperation agreement with CERN
J Oleniacz Warsaw University of Technology, Warsaw, Poland
A C Oliveira Da Silva University of Tennessee, Knoxville, Tennessee, USA
M H Oliver Yale University, New Haven, Connecticut, USA
A Onnerstad University of Jyväskylä, Jyväskylä, Finland
C Oppedisano INFN, Sezione di Torino, Turin, Italy
A Ortiz Velasquez Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
A Oskarsson Lund University Department of Physics, Division of Particle Physics, Lund, Sweden
J Otwinowski The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
M Oya Physics Program and International Institute for Sustainability with Knotted Chiral Meta Matter (SKCM2), Hiroshima University, Hiroshima, Japan
K Oyama Nagasaki Institute of Applied Science, Nagasaki, Japan
Y Pachmayer Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
S Padhan Indian Institute of Technology Bombay (IIT), Mumbai, India
D Pagano INFN, Sezione di Pavia, Pavia, Italy Università di Brescia, Brescia, Italy
G Paić Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
A Palasciano INFN, Sezione di Bari, Bari, Italy
S Panebianco Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
J Park Inha University, Incheon, Republic of Korea
J E Parkkila European Organization for Nuclear Research (CERN), Geneva, Switzerland University of Jyväskylä, Jyväskylä, Finland
S P Pathak University of Houston, Houston, Texas, USA
R N Patra Physics Department, University of Jammu, Jammu, India
B Paul Dipartimento di Fisica dell'Università and Sezione INFN, Cagliari, Italy
H Pei Central China Normal University, Wuhan, China
T Peitzmann Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands
X Peng Central China Normal University, Wuhan, China
L G Pereira Instituto de Física, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
H Pereira Da Costa Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
D Peresunko Affiliated with an institute covered by a cooperation agreement with CERN
G M Perez Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear (CEADEN), Havana, Cuba
S Perrin Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
Y Pestov Affiliated with an institute covered by a cooperation agreement with CERN
V Petráček Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
V Petrov Affiliated with an institute covered by a cooperation agreement with CERN
M Petrovici Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania
R P Pezzi Instituto de Física, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
S Piano INFN, Sezione di Trieste, Trieste, Italy
M Pikna Comenius University Bratislava, Faculty of Mathematics, Physics and Informatics, Bratislava, Slovak Republic
P Pillot SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
O Pinazza European Organization for Nuclear Research (CERN), Geneva, Switzerland INFN, Sezione di Bologna, Bologna, Italy
L Pinsky University of Houston, Houston, Texas, USA
C Pinto Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Catania, Italy Physik Department, Technische Universität München, Munich, Germany
S Pisano INFN, Laboratori Nazionali di Frascati, Frascati, Italy
M Płoskoń Lawrence Berkeley National Laboratory, Berkeley, California, USA
M Planinic Physics Department, Faculty of Science, University of Zagreb, Zagreb, Croatia
F Pliquett Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
M G Poghosyan Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
S Politano Dipartimento DISAT del Politecnico and Sezione INFN, Turin, Italy
N Poljak Physics Department, Faculty of Science, University of Zagreb, Zagreb, Croatia
A Pop Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania
S Porteboeuf-Houssais Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
J Porter Lawrence Berkeley National Laboratory, Berkeley, California, USA
V Pozdniakov Affiliated with an international laboratory covered by a cooperation agreement with CERN
S K Prasad Bose Institute, Department of Physics and Centre for Astroparticle Physics and Space Science (CAPSS), Kolkata, India
S Prasad Indian Institute of Technology Indore, Indore, India
R Preghenella INFN, Sezione di Bologna, Bologna, Italy
F Prino INFN, Sezione di Torino, Turin, Italy
C A Pruneau Wayne State University, Detroit, Michigan, USA
I Pshenichnov Affiliated with an institute covered by a cooperation agreement with CERN
M Puccio European Organization for Nuclear Research (CERN), Geneva, Switzerland
S Qiu Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands
L Quaglia Dipartimento di Fisica dell'Università and Sezione INFN, Turin, Italy
R E Quishpe University of Houston, Houston, Texas, USA
S Ragoni School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom
A Rakotozafindrabe Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
L Ramello INFN, Sezione di Torino, Turin, Italy Università del Piemonte Orientale, Vercelli, Italy
F Rami Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
S A R Ramirez High Energy Physics Group, Universidad Autónoma de Puebla, Puebla, Mexico
T A Rancien Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes, CNRS-IN2P3, Grenoble, France
R Raniwala Physics Department, University of Rajasthan, Jaipur, India
S Raniwala Physics Department, University of Rajasthan, Jaipur, India
S S Räsänen Helsinki Institute of Physics (HIP), Helsinki, Finland
R Rath Indian Institute of Technology Indore, Indore, India
I Ravasenga Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands
K F Read Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA University of Tennessee, Knoxville, Tennessee, USA
A R Redelbach Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
K Redlich National Centre for Nuclear Research, Warsaw, Poland
A Rehman Department of Physics and Technology, University of Bergen, Bergen, Norway
P Reichelt Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
F Reidt European Organization for Nuclear Research (CERN), Geneva, Switzerland
H A Reme-Ness Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway
Z Rescakova Faculty of Science, Pavol Jozef Šafárik University, Košice, Slovak Republic
K Reygers Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
A Riabov Affiliated with an institute covered by a cooperation agreement with CERN
V Riabov Affiliated with an institute covered by a cooperation agreement with CERN
R Ricci Dipartimento di Fisica "E.R. Caianiello" dell'Università and Gruppo Collegato INFN, Salerno, Italy
T Richert Lund University Department of Physics, Division of Particle Physics, Lund, Sweden
M Richter Department of Physics, University of Oslo, Oslo, Norway
W Riegler European Organization for Nuclear Research (CERN), Geneva, Switzerland
F Riggi Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Catania, Italy
C Ristea Institute of Space Science (ISS), Bucharest, Romania
M Rodríguez Cahuantzi High Energy Physics Group, Universidad Autónoma de Puebla, Puebla, Mexico
K Røed Department of Physics, University of Oslo, Oslo, Norway
R Rogalev Affiliated with an institute covered by a cooperation agreement with CERN
E Rogochaya Affiliated with an international laboratory covered by a cooperation agreement with CERN
T S Rogoschinski Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
D Rohr European Organization for Nuclear Research (CERN), Geneva, Switzerland
D Röhrich Department of Physics and Technology, University of Bergen, Bergen, Norway
P F Rojas High Energy Physics Group, Universidad Autónoma de Puebla, Puebla, Mexico
S Rojas Torres Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
P S Rokita Warsaw University of Technology, Warsaw, Poland
F Ronchetti INFN, Laboratori Nazionali di Frascati, Frascati, Italy
A Rosano Dipartimento di Scienze MIFT, Università di Messina, Messina, Italy INFN, Sezione di Catania, Catania, Italy
E D Rosas Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico
A Rossi INFN, Sezione di Padova, Padova, Italy
A Roy Indian Institute of Technology Indore, Indore, India
P Roy Saha Institute of Nuclear Physics, Homi Bhabha National Institute, Kolkata, India
S Roy Indian Institute of Technology Bombay (IIT), Mumbai, India
N Rubini Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Bologna, Italy
O V Rueda Lund University Department of Physics, Division of Particle Physics, Lund, Sweden
D Ruggiano Warsaw University of Technology, Warsaw, Poland
R Rui Dipartimento di Fisica dell'Università and Sezione INFN, Trieste, Italy
B Rumyantsev Affiliated with an international laboratory covered by a cooperation agreement with CERN
P G Russek AGH University of Science and Technology, Cracow, Poland
R Russo Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands
A Rustamov National Nuclear Research Center, Baku, Azerbaijan
E Ryabinkin Affiliated with an institute covered by a cooperation agreement with CERN
Y Ryabov Affiliated with an institute covered by a cooperation agreement with CERN
A Rybicki The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
H Rytkonen University of Jyväskylä, Jyväskylä, Finland
W Rzesa Warsaw University of Technology, Warsaw, Poland
O A M Saarimaki Helsinki Institute of Physics (HIP), Helsinki, Finland
R Sadek SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
S Sadovsky Affiliated with an institute covered by a cooperation agreement with CERN
J Saetre Department of Physics and Technology, University of Bergen, Bergen, Norway
K Šafařík Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic
S K Saha Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
S Saha National Institute of Science Education and Research, Homi Bhabha National Institute, Jatni, India
B Sahoo Indian Institute of Technology Bombay (IIT), Mumbai, India
P Sahoo Indian Institute of Technology Bombay (IIT), Mumbai, India
R Sahoo Indian Institute of Technology Indore, Indore, India
S Sahoo Institute of Physics, Homi Bhabha National Institute, Bhubaneswar, India
D Sahu Indian Institute of Technology Indore, Indore, India
P K Sahu Institute of Physics, Homi Bhabha National Institute, Bhubaneswar, India
J Saini Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
K Sajdakova Faculty of Science, Pavol Jozef Šafárik University, Košice, Slovak Republic
S Sakai University of Tsukuba, Tsukuba, Japan
M P Salvan Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
S Sambyal Physics Department, University of Jammu, Jammu, India
T B Saramela Universidade de São Paulo (USP), São Paulo, Brazil
D Sarkar Wayne State University, Detroit, Michigan, USA
N Sarkar Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
P Sarma Department of Physics, Gauhati University, Guwahati, India
V Sarritzu Dipartimento di Fisica dell'Università and Sezione INFN, Cagliari, Italy
V M Sarti Physik Department, Technische Universität München, Munich, Germany
M H P Sas Yale University, New Haven, Connecticut, USA
J Schambach Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
H S Scheid Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
C Schiaua Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania
R Schicker Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
A Schmah Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
C Schmidt Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
H R Schmidt Physikalisches Institut, Eberhard-Karls-Universität Tübingen, Tubingen, Germany
M O Schmidt European Organization for Nuclear Research (CERN), Geneva, Switzerland
M Schmidt Physikalisches Institut, Eberhard-Karls-Universität Tübingen, Tubingen, Germany
N V Schmidt Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
A R Schmier University of Tennessee, Knoxville, Tennessee, USA
R Schotter Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
J Schukraft European Organization for Nuclear Research (CERN), Geneva, Switzerland
K Schwarz Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
K Schweda Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
G Scioli Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Bologna, Italy
E Scomparin INFN, Sezione di Torino, Turin, Italy
J E Seger Creighton University, Omaha, Nebraska, USA
Y Sekiguchi University of Tokyo, Tokyo, Japan
D Sekihata University of Tokyo, Tokyo, Japan
I Selyuzhenkov Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany Affiliated with an institute covered by a cooperation agreement with CERN
S Senyukov Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
J J Seo Inha University, Incheon, Republic of Korea
D Serebryakov Affiliated with an institute covered by a cooperation agreement with CERN
L Šerkšnytė Physik Department, Technische Universität München, Munich, Germany
A Sevcenco Institute of Space Science (ISS), Bucharest, Romania
T J Shaba iThemba LABS, National Research Foundation, Somerset West, South Africa
A Shabanov Affiliated with an institute covered by a cooperation agreement with CERN
A Shabetai SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
R Shahoyan European Organization for Nuclear Research (CERN), Geneva, Switzerland
W Shaikh Saha Institute of Nuclear Physics, Homi Bhabha National Institute, Kolkata, India
A Shangaraev Affiliated with an institute covered by a cooperation agreement with CERN
A Sharma Physics Department, Panjab University, Chandigarh, India
D Sharma Indian Institute of Technology Bombay (IIT), Mumbai, India
H Sharma The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
M Sharma Physics Department, University of Jammu, Jammu, India
N Sharma Physics Department, Panjab University, Chandigarh, India
S Sharma Physics Department, University of Jammu, Jammu, India
U Sharma Physics Department, University of Jammu, Jammu, India
A Shatat Laboratoire de Physique des 2 Infinis, Irène Joliot-Curie, Orsay, France
O Sheibani University of Houston, Houston, Texas, USA
K Shigaki Physics Program and International Institute for Sustainability with Knotted Chiral Meta Matter (SKCM2), Hiroshima University, Hiroshima, Japan
M Shimomura Nara Women's University (NWU), Nara, Japan
S Shirinkin Affiliated with an institute covered by a cooperation agreement with CERN
Q Shou Fudan University, Shanghai, China
Y Sibiriak Affiliated with an institute covered by a cooperation agreement with CERN
S Siddhanta INFN, Sezione di Cagliari, Cagliari, Italy
T Siemiarczuk National Centre for Nuclear Research, Warsaw, Poland
T F Silva Universidade de São Paulo (USP), São Paulo, Brazil
D Silvermyr Lund University Department of Physics, Division of Particle Physics, Lund, Sweden
T Simantathammakul Suranaree University of Technology, Nakhon Ratchasima, Thailand
R Simeonov Faculty of Physics, Sofia University, Sofia, Bulgaria
G Simonetti European Organization for Nuclear Research (CERN), Geneva, Switzerland
B Singh Physics Department, University of Jammu, Jammu, India
B Singh Physik Department, Technische Universität München, Munich, Germany
R Singh National Institute of Science Education and Research, Homi Bhabha National Institute, Jatni, India
R Singh Physics Department, University of Jammu, Jammu, India
R Singh Indian Institute of Technology Indore, Indore, India
V K Singh Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
V Singhal Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
T Sinha Saha Institute of Nuclear Physics, Homi Bhabha National Institute, Kolkata, India
B Sitar Comenius University Bratislava, Faculty of Mathematics, Physics and Informatics, Bratislava, Slovak Republic
M Sitta INFN, Sezione di Torino, Turin, Italy Università del Piemonte Orientale, Vercelli, Italy
T B Skaali Department of Physics, University of Oslo, Oslo, Norway
G Skorodumovs Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
M Slupecki Helsinki Institute of Physics (HIP), Helsinki, Finland
N Smirnov Yale University, New Haven, Connecticut, USA
R J M Snellings Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands
E H Solheim Department of Physics, University of Oslo, Oslo, Norway
C Soncco Sección Física, Departamento de Ciencias, Pontificia Universidad Católica del Perú, Lima, Peru
J Song University of Houston, Houston, Texas, USA
A Songmoolnak Suranaree University of Technology, Nakhon Ratchasima, Thailand
F Soramel Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Padova, Italy
S Sorensen University of Tennessee, Knoxville, Tennessee, USA
R Spijkers Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands
I Sputowska The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
J Staa Lund University Department of Physics, Division of Particle Physics, Lund, Sweden
J Stachel Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
I Stan Institute of Space Science (ISS), Bucharest, Romania
P J Steffanic University of Tennessee, Knoxville, Tennessee, USA
S F Stiefelmaier Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
D Stocco SUBATECH, IMT Atlantique, Nantes Université, CNRS-IN2P3, Nantes, France
I Storehaug Department of Physics, University of Oslo, Oslo, Norway
M M Storetvedt Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway
P Stratmann Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
S Strazzi Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN, Bologna, Italy
C P Stylianidis Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands
A A P Suaide Universidade de São Paulo (USP), São Paulo, Brazil
C Suire Laboratoire de Physique des 2 Infinis, Irène Joliot-Curie, Orsay, France
M Sukhanov Affiliated with an institute covered by a cooperation agreement with CERN
M Suljic European Organization for Nuclear Research (CERN), Geneva, Switzerland
V Sumberia Physics Department, University of Jammu, Jammu, India
S Sumowidagdo National Research and Innovation Agency - BRIN, Jakarta, Indonesia
S Swain Institute of Physics, Homi Bhabha National Institute, Bhubaneswar, India
A Szabo Comenius University Bratislava, Faculty of Mathematics, Physics and Informatics, Bratislava, Slovak Republic
I Szarka Comenius University Bratislava, Faculty of Mathematics, Physics and Informatics, Bratislava, Slovak Republic
U Tabassam COMSATS University Islamabad, Islamabad, Pakistan
S F Taghavi Physik Department, Technische Universität München, Munich, Germany
G Taillepied Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
J Takahashi Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil
G J Tambave Department of Physics and Technology, University of Bergen, Bergen, Norway
S Tang Central China Normal University, Wuhan, China Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France
Z Tang University of Science and Technology of China, Hefei, China
J D Tapia Takaki University of Kansas, Lawrence, Kansas, USA
N Tapus University Politehnica of Bucharest, Bucharest, Romania
L A Tarasovicova Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
M G Tarzila Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania
A Tauro European Organization for Nuclear Research (CERN), Geneva, Switzerland
A Telesca European Organization for Nuclear Research (CERN), Geneva, Switzerland
L Terlizzi Dipartimento di Fisica dell'Università and Sezione INFN, Turin, Italy
C Terrevoli University of Houston, Houston, Texas, USA
G Tersimonov Bogolyubov Institute for Theoretical Physics, National Academy of Sciences of Ukraine, Kiev, Ukraine
S Thakur Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
D Thomas The University of Texas at Austin, Austin, Texas, USA
R Tieulent CNRS/IN2P3, Institut de Physique des 2 Infinis de Lyon, Université de Lyon, Lyon, France
A Tikhonov Affiliated with an institute covered by a cooperation agreement with CERN
A R Timmins University of Houston, Houston, Texas, USA
M Tkacik Technical University of Košice, Košice, Slovak Republic
T Tkacik Technical University of Košice, Košice, Slovak Republic
A Toia Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
N Topilskaya Affiliated with an institute covered by a cooperation agreement with CERN
M Toppi INFN, Laboratori Nazionali di Frascati, Frascati, Italy
F Torales-Acosta Department of Physics, University of California, Berkeley, California, USA
T Tork Laboratoire de Physique des 2 Infinis, Irène Joliot-Curie, Orsay, France
A G Torres Ramos Dipartimento Interateneo di Fisica "M. Merlin" and Sezione INFN, Bari, Italy
A Trifiró Dipartimento di Scienze MIFT, Università di Messina, Messina, Italy INFN, Sezione di Catania, Catania, Italy
A S Triolo Dipartimento di Scienze MIFT, Università di Messina, Messina, Italy INFN, Sezione di Catania, Catania, Italy
S Tripathy INFN, Sezione di Bologna, Bologna, Italy
T Tripathy Indian Institute of Technology Bombay (IIT), Mumbai, India
S Trogolo European Organization for Nuclear Research (CERN), Geneva, Switzerland
V Trubnikov Bogolyubov Institute for Theoretical Physics, National Academy of Sciences of Ukraine, Kiev, Ukraine
W H Trzaska University of Jyväskylä, Jyväskylä, Finland
T P Trzcinski Warsaw University of Technology, Warsaw, Poland
R Turrisi INFN, Sezione di Padova, Padova, Italy
T S Tveter Department of Physics, University of Oslo, Oslo, Norway
K Ullaland Department of Physics and Technology, University of Bergen, Bergen, Norway
B Ulukutlu Physik Department, Technische Universität München, Munich, Germany
A Uras CNRS/IN2P3, Institut de Physique des 2 Infinis de Lyon, Université de Lyon, Lyon, France
M Urioni INFN, Sezione di Pavia, Pavia, Italy Università di Brescia, Brescia, Italy
G L Usai Dipartimento di Fisica dell'Università and Sezione INFN, Cagliari, Italy
M Vala Faculty of Science, Pavol Jozef Šafárik University, Košice, Slovak Republic
N Valle Dipartimento di Fisica, Università di Pavia, Pavia, Italy
S Vallero INFN, Sezione di Torino, Turin, Italy
L V R van Doremalen Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands
M van Leeuwen Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands
C A van Veen Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
R J G van Weelden Nikhef, National Institute for Subatomic Physics, Amsterdam, Netherlands
P Vande Vyvre European Organization for Nuclear Research (CERN), Geneva, Switzerland
D Varga Wigner Research Centre for Physics, Budapest, Hungary
Z Varga Wigner Research Centre for Physics, Budapest, Hungary
M Varga-Kofarago Wigner Research Centre for Physics, Budapest, Hungary
M Vasileiou Department of Physics, School of Science, National and Kapodistrian University of Athens, Athens, Greece
A Vasiliev Affiliated with an institute covered by a cooperation agreement with CERN
O Vázquez Doce Physik Department, Technische Universität München, Munich, Germany
V Vechernin Affiliated with an institute covered by a cooperation agreement with CERN
E Vercellin Dipartimento di Fisica dell'Università and Sezione INFN, Turin, Italy
S Vergara Limón High Energy Physics Group, Universidad Autónoma de Puebla, Puebla, Mexico
L Vermunt Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands
R Vértesi Wigner Research Centre for Physics, Budapest, Hungary
M Verweij Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands
L Vickovic Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia
Z Vilakazi University of the Witwatersrand, Johannesburg, South Africa
O Villalobos Baillie School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom
G Vino INFN, Sezione di Bari, Bari, Italy
A Vinogradov Affiliated with an institute covered by a cooperation agreement with CERN
T Virgili Dipartimento di Fisica "E.R. Caianiello" dell'Università and Gruppo Collegato INFN, Salerno, Italy
V Vislavicius Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
A Vodopyanov Affiliated with an international laboratory covered by a cooperation agreement with CERN
B Volkel European Organization for Nuclear Research (CERN), Geneva, Switzerland
M A Völkl Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
K Voloshin Affiliated with an institute covered by a cooperation agreement with CERN
S A Voloshin Wayne State University, Detroit, Michigan, USA
G Volpe Dipartimento Interateneo di Fisica "M. Merlin" and Sezione INFN, Bari, Italy
B von Haller European Organization for Nuclear Research (CERN), Geneva, Switzerland
I Vorobyev Physik Department, Technische Universität München, Munich, Germany
N Vozniuk Affiliated with an institute covered by a cooperation agreement with CERN
J Vrláková Faculty of Science, Pavol Jozef Šafárik University, Košice, Slovak Republic
B Wagner Department of Physics and Technology, University of Bergen, Bergen, Norway
C Wang Fudan University, Shanghai, China
D Wang Fudan University, Shanghai, China
M Weber Stefan Meyer Institut für Subatomare Physik (SMI), Vienna, Austria
A Wegrzynek European Organization for Nuclear Research (CERN), Geneva, Switzerland
F T Weiglhofer Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
S C Wenzel European Organization for Nuclear Research (CERN), Geneva, Switzerland
J P Wessels Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
S L Weyhmiller Yale University, New Haven, Connecticut, USA
J Wiechula Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany
J Wikne Department of Physics, University of Oslo, Oslo, Norway
G Wilk National Centre for Nuclear Research, Warsaw, Poland
J Wilkinson Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
G A Willems Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Munster, Germany
B Windelband Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
M Winn Départment de Physique Nucléaire (DPhN), Université Paris-Saclay Centre d'Etudes de Saclay (CEA), IRFU, Saclay, France
J R Wright The University of Texas at Austin, Austin, Texas, USA
W Wu Fudan University, Shanghai, China
Y Wu University of Science and Technology of China, Hefei, China
R Xu Central China Normal University, Wuhan, China
A K Yadav Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India
S Yalcin KTO Karatay University, Konya, Turkey
Y Yamaguchi Physics Program and International Institute for Sustainability with Knotted Chiral Meta Matter (SKCM2), Hiroshima University, Hiroshima, Japan
K Yamakawa Physics Program and International Institute for Sustainability with Knotted Chiral Meta Matter (SKCM2), Hiroshima University, Hiroshima, Japan
S Yang Department of Physics and Technology, University of Bergen, Bergen, Norway
S Yano Physics Program and International Institute for Sustainability with Knotted Chiral Meta Matter (SKCM2), Hiroshima University, Hiroshima, Japan
Z Yin Central China Normal University, Wuhan, China
I-K Yoo Department of Physics, Pusan National University, Pusan, Republic of Korea
J H Yoon Inha University, Incheon, Republic of Korea
S Yuan Department of Physics and Technology, University of Bergen, Bergen, Norway
A Yuncu Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
V Zaccolo Dipartimento di Fisica dell'Università and Sezione INFN, Trieste, Italy
C Zampolli European Organization for Nuclear Research (CERN), Geneva, Switzerland
H J C Zanoli Institute for Gravitational and Subatomic Physics (GRASP), Utrecht University/Nikhef, Utrecht, Netherlands
F Zanone Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany
N Zardoshti European Organization for Nuclear Research (CERN), Geneva, Switzerland School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom
A Zarochentsev Affiliated with an institute covered by a cooperation agreement with CERN
P Závada Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic
N Zaviyalov Affiliated with an institute covered by a cooperation agreement with CERN
M Zhalov Affiliated with an institute covered by a cooperation agreement with CERN
B Zhang Central China Normal University, Wuhan, China
S Zhang Fudan University, Shanghai, China
X Zhang Central China Normal University, Wuhan, China
Y Zhang University of Science and Technology of China, Hefei, China
M Zhao China Institute of Atomic Energy, Beijing, China
V Zherebchevskii Affiliated with an institute covered by a cooperation agreement with CERN
Y Zhi China Institute of Atomic Energy, Beijing, China
N Zhigareva Affiliated with an institute covered by a cooperation agreement with CERN
D Zhou Central China Normal University, Wuhan, China
Y Zhou Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
J Zhu Central China Normal University, Wuhan, China Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany
Y Zhu Central China Normal University, Wuhan, China
G Zinovjev Bogolyubov Institute for Theoretical Physics, National Academy of Sciences of Ukraine, Kiev, Ukraine
N Zurlo INFN, Sezione di Pavia, Pavia, Italy Università di Brescia, Brescia, Italy

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First Measurement of Antideuteron Number Fluctuations at Energies Available at the Large Hadron Collider

The first measurement of event-by-event antideuteron number fluctuations in high energy heavy-ion collisions is presented. The measurements are carried out at midrapidity (|η|<0.8) as a function of collision centrality in Pb-Pb collisions at sqrt[s_{NN}]=5.02  TeV using the ALICE detector. A significant negative correlation between the produced antiprotons and antideuterons is observed in all collision centralities. The results are compared with a state-of-the-art coalescence calculation. While it describes the ratio of higher order cumulants of the antideuteron multiplicity distribution, it fails to describe quantitatively the magnitude of the correlation between antiproton and antideuteron production. On the other hand, thermal-statistical model calculations describe all the measured observables within uncertainties only for correlation volumes that are different with respect to those describing proton yields and a similar measurement of net-proton number fluctuations.

A comprehensive protein interaction map and druggability investigation prioritized dengue virus NS1 protein as promising therapeutic candidate

Dengue Virus (DENV) is a serious threat to human life worldwide and is one of the most dangerous vector-borne diseases, causing thousands of deaths annually. We constructed a comprehensive PPI map of DENV with its host Homo sapiens and performed various bioinformatics analyses. We found 1195 interactions between 858 human and 10 DENV proteins. Pathway enrichment analysis was performed on the two sets of gene products, and the top 5 human proteins with the maximum number of interactions with dengue viral proteins revealed noticeable results. The non-structural protein NS1 in DENV had the maximum number of interactions with the host protein, followed by NS5 and NS3. Among the human proteins, HBA1 and UBE2I were associated with 7 viral proteins, and 3 human proteins (CSNK2A1, RRP12, and HSP90AB1) were found to interact with 6 viral proteins. Pharmacophore-based virtual screening of millions of compounds in the public databases was performed to identify potential DENV-NS1 inhibitors. The lead compounds were selected based on RMSD values, docking scores, and strong binding affinities. The top ten hit compounds were subjected to ADME profiling which identified compounds C2 (MolPort-044-180-163) and C6 (MolPort-001-742-737) as lead inhibitors against DENV-NS1. Molecular dynamics trajectory analysis and intermolecular interactions between NS1 and the ligands displayed the molecular stability of the complexes in the cellular environment. The in-silico approaches used in this study could pave the way for the development of potential specie-specific drugs and help in eliminating deadly viral infections. Therefore, experimental and clinical assays are required to validate the results of this study.

Immunoinformatic-guided novel mRNA vaccine designing to elicit immunogenic responses against the endemic Monkeypox virus

Monkeypox virus (MPXV) is an orthopoxvirus, causing zoonotic infections in humans with smallpox-like symptoms. The WHO reported MPXV cases in May 2022 and the outbreak caused significant morbidity threats to immunocompromised individuals and children. Currently, no clinically validated therapies are available against MPXV infections. The present study is based on immunoinformatics approaches to design mRNA-based novel vaccine models against MPXV. Three proteins were prioritized based on high antigenicity, low allergenicity, and toxicity values to predict T- and B-cell epitopes. Lead T- and B-cell epitopes were used to design vaccine constructs, linked with epitope-specific linkers and adjuvant to enhance immune responses. Additional sequences, including Kozak sequence, MITD sequence, tPA sequence, Goblin 5', 3' UTRs, and a poly(A) tail were added to design stable and highly immunogenic mRNA vaccine construct. High-quality structures were predicted by molecular modeling and 3D-structural validation of the vaccine construct. Population coverage and epitope-conservancy speculated broader protection of designed vaccine model against multiple MPXV infectious strains. MPXV-V4 was eventually prioritized based on its physicochemical and immunological parameters and docking scores. Molecular dynamics and immune simulations analyses predicted significant structural stability and binding affinity of the top-ranked vaccine model with immune receptors to elicit cellular and humoral immunogenic responses against the MPXV. The pursuance of experimental and clinical follow-up of these prioritized constructs may lay the groundwork to develop safe and effective vaccine against MPXV.Communicated by Ramaswamy H. Sarma.

Candida pneumonia in young and immunocompetent lady: A case report and literature review

Background

Candida is a frequent respiratory tract colonizer. True candida pneumonia is rare and seen with predominance in immunosuppressed patients. Our aim is to document a previously unreported case of Candida pneumonia in a young and immunocompetent patient, highlighting, an unusual pathological manifestation of this infection in immunocompetent individuals.

Case summary

We report a previously healthy young lady who remained symptomatic with fever, cough and shortness of breath for three weeks duration despite treatment with extensive antibiotics regimen for community acquired pneumonia. She was eventually treated as a probable, rare case of candida pneumonia. The patient demonstrated a dramatic response to single antifungal treatment both clinically and biochemically within the first 24hrs of treatment. Candida albican was isolated on repetitive cultures form the sputum and bronchoalevolar lavage samples. The patient had negative blood cultures. Her HRCT scan revealed bilateral basal air space opacities with peri bronchovascular distribution and centrilobular nodules with branching pattern suggestive of tree in bud predominantly in lower lobes. Her endobronchial biopsies was mostly unremarkable apart from rare non-necrotizing granuloma.

Conclusion

Candida can rarely cause clinically significant pneumonia in immunocompetent patients and should be considered in the differential diagnosis of granulomatous lung disease.

Non-Participatory Observation Of Integrated Management Of Childhood Illness Practices At Selected Basic Health Units Of District Abbottabad, Kp, Pakistan: A Qualitative Hermeneutic Study

BACKGROUND

It was in 1995 when a strategy was devised to reduce under-five mortality in countries with a prevalence of child mortality above 40/1000 live births. This strategy is called "Integrated Management of Childhood Illness" (IMCI). Improvement in the skills of healthcare workers (HCWs) depends on the IMCI training received by them. To make IMCI training more effective and scale up, a global technical consultation committee in Geneva recommended implementing an innovative training approach in 2014: the distance learning IMCI (dIMCI). This study was conducted to observe qualitatively the practices of IMCI-trained HCWs at their respective workplaces.

METHODS

This qualitative hermeneutic study was conducted through non-probability criterion sampling in the district Abbottabad of Pakistan on all 26 basic health units trained in IMCI (either standard or distance learning) from December 9, 2019, to March 9, 2020. Data collection was done by qualitatively observing consultations and interactions of caretakers of under-five children at basic health units. Inductive thematic analysis was used. This qualitative exploration was underpinned by Hans Georg Gadamer's philosophy of hermeneutics.

RESULTS

Four themes emerged from the observation notes. These themes are gratification after consultation, altercation for medication, non-observance of protocol, and methodical consultation.

CONCLUSIONS

Improvement in the skills of HCWs in the form of IMCI training, either through distance learning or the common eleven-day standard method, can improve caretakers' satisfaction. However, awareness at the community level is needed for better compliance.

Exploring the Associations and Molecular Impacts of miR-146a/rs2910164 and miR-196a2/rs185070757 with Rheumatoid Arthritis in a Pakistani Population

INTRODUCTION

MicroRNAs (miRNAs) are a new class of molecules that participate in post-transcriptional regulation of gene expression and hence have been reported to have a crucial role in the pathogenesis of rheumatoid arthritis (RA). We aimed to investigate the association of miR-146a rs2910164 (G/C) and miR-196a2 rs185070757 (T/G) with RA susceptibility in Pakistani patients and to bioinformatically predict the molecular function of these miRNAs.

METHODS

A case-control study on 600 individuals was conducted, including 300 RA patients and 300 matching healthy controls. Genotyping was performed by tetra-primer amplification of refractory mutation system-polymerase chain reaction, and the association between variants and RA was statistically determined using different models.

RESULTS

For the variant rs2910164 (G/C) in miR-146a, no difference in genotype distribution was observed between RA cases and controls, as determined using co-dominant (χ2 = 4.33; p = 0.114), homozygous dominant (C/C vs. G/G + C/G) (OR = 0.740 [0.531-1.032]; p = 0.091), homozygous recessive (G/G vs. C/C + G/C) (odds ratio [OR] = 01.432 [0.930-2.206]; p = 0.126), heterozygous (G/C vs. C/C + G/G) (OR = 1.084 [0.786-1.494]; p = 0.682), and additive (OR 0.778 [0.617-0.981]; p = 0.039) models. Similarly, the GT genotype in the rs185070757 (T/G) miR-196a2 variant did not differ between cases and controls with any models (p > 0.05). For the first time, we report no association of miR-146a rs2910164 (G/C) and miR-196a2 rs185070757 (T/G) with RA in a Pakistani population. A subsequent bioinformatic analysis revealed that the CC genotype of miR-146a rs2910164 might have a protective role against RA pathogenesis, with no effect observed with the miR-196a2 rs185070757.

CONCLUSION

Our findings suggest that these miRNAs might have little-to-no impact on the RA pathogenesis in the Pakistani population.

Unraveling preference heterogeneity in willingness-to-pay for enhanced road safety: A hybrid approach of machine learning and quantile regression

Investing in road safety enhancement programs highly depends on the economic valuation of road traffic accidents and their outcomes. Such evaluation underpins road safety interventions in cost-benefit analysis. To this end, understanding and modeling public willingness-to-pay for enhanced road safety have received significant attention in the past few decades. However, despite considerable modeling efforts, some issues still persist in earlier studies, namely, (i) using standard regression approaches that assume a homogeneous impact of explanatory variables on willingness-to-pay, not accounting for heterogeneity, and depends on a priori distribution of the dependent variable, and (ii) the absence of higher-order interactions from models, leading to omitted variable bias and erroneous model inferences. To overcome this critical research gap, our study proposes a new modeling framework, integrating a machine learning technique (decision tree) to identify a priori relationships for higher-order interactions and a quantile regression model to account for heterogeneity along the entire range of willingness-to-pay. The proposed framework examines the determinants of willingness-to-pay for enhanced road safety using a sample of car drivers from Peshawar, Pakistan. Modeling results indicate that variables not significant in a linear model become significant at specific quantiles of the willingness-to-pay distribution. Further, including higher-order interactions among the explanatory variables provides additional insights into the complex relationship between willingness-to-pay and its determinants. In addition, willingness-to-pay for fatal and severe injury risk reductions is estimated at different quartiles and used to calculate the values of corresponding risk reductions. Overall, the proposed framework provides a better understanding of public sensitivities to willingness-to-pay for enhanced road safety.

Flow cytometry improves the diagnostic value of fine needle aspiration cytology in a spleen with neuroendocrine tumor: A case report

Fine needle aspirations are infrequently performed on the spleen due to concerns for hemorrhagic complications. As a result, splenic lesions can be challenging to diagnose given the limited amount of available specimen. Metastasis to the spleen is rare and metastatic neuroendocrine tumors to the spleen are scarce in literature. The diagnosis of splenic lesions from fine needle aspirate entails processing which prolongs the turnaround time, particularly if the cytomorphology is non-typical and a limited sample can further complicate this process. We describe a case in which flow cytometry performed on fine needle aspiration of a splenic lesion suggested a diagnosis of neuroendocrine neoplasm involving the spleen. Further workup confirmed this diagnosis. Flow cytometry can recognize neuroendocrine tumors involving the spleen in a timely manner so that appropriate immunohistochemistry tests on limited specimens can be performed to aid in their accurate diagnosis.

Modelling braking behaviour of distracted young drivers in car-following interactions: A grouped random parameters duration model with heterogeneity-in-means

Braking is an important characteristic of driving behaviour that has a direct relationship with rear-end collisions in a car-following task. Braking becomes more crucial when drivers' cognitive workload increases because of using mobile phones whilst driving. This study, therefore, investigates and compares the effects of using mobile phones whilst driving on braking behaviour. Thirty-two young licenced drivers, evenly split by gender, faced a safety-critical event, that is, leader's hard braking, in a car-following situation. Each participant drove the CARRS-Q Advanced Driving Simulator and was required to respond to a braking event in the simulated environment in three phone conditions: baseline (no phone conversation), handheld, and hands-free. A random parameters duration modelling approach is employed to (i) model drivers' braking (or deceleration) times using a parametric survival model, (ii) capture unobserved heterogeneity associated with braking times, and (iii) account for repeated experiment design. The model identifies the handheld phone condition as a random parameter whilst vehicle dynamics variables, hands-free phone condition, and driver-specific variables are found as fixed parameters. The model suggests that most distracted drivers (in the handheld condition) reduce their initial speeds more slowly than undistracted drivers, reflecting their delayed initial braking that may lead to abrupt braking to avoid a rear-end collision. Further, another group of distracted drivers exhibits faster braking (in the handheld condition), recognising the risk associated with mobile phone usage and delayed initial braking. Provisional licence holders are found to be slower in reducing their initial speeds than open licence holders, indicating their risk-taking behaviour because of their less experience and more sensitivity to mobile phone distraction. Overall, mobile phone distraction appears to impair the braking behaviour of young drivers, which poses significant safety concerns for traffic streams.

Computational screening and analysis of deleterious nsSNPs in human p14ARF (CDKN2A gene) protein using molecular dynamic simulation approach

Cyclin-dependent kinase inhibitor 2 A (CDKN2A) gene belongs to the cyclin-dependent kinase family that code for two transcripts (p16INK4A and p14ARF), both work as tumor suppressors proteins. The mutation that occurs in the p14ARF protein can lead to different types of cancers. Single nucleotide polymorphisms (SNPs) are an important type of genetic alteration that can lead to different types of diseases. In this study, we applied the computational strategy on human p14ARF protein to identify the potential deleterious nsSNPs and check their impact on the structure, function, and protein stability. We applied more than ten prediction tools to screen the retrieved 288 nsSNPs, consequently extracting four deleterious nsSNPs i.e., rs139725688 (R10G), rs139725688 (R21W), rs374360796 (F23L) and rs747717236 (L124R). Homology modeling, conservation and conformational analysis of mutant models were performed to examine the divergence of these variants from the native p14ARF structure. All-atom molecular dynamics simulation revealed a significant impact of these mutations on protein stability, compactness, globularity, solvent accessibility and secondary structure elements. Protein-protein interactions indicated that p14ARF operates as a hub linking clusters of different proteins and that changes in p14ARF may result in the disassociation of numerous signal cascades. Our current study is the first survey of computational analysis on p14ARF protein that determines the association of these nsSNPs with the altered function of p14ARF protein and leads to the development of various types of cancers. This research proposes the described functional SNPs as possible targets for proteomic investigations, diagnostic procedures, and treatments.Communicated by Ramaswamy H. Sarma.

In Silico Characterization and Analysis of Clinically Significant Variants of Lipase-H (LIPH Gene) Protein Associated with Hypotrichosis

Hypotrichosis is an uncommon type of alopecia (hair loss) characterized by coarse scalp hair caused by the reduced or fully terminated activity of the Lipase-H (LIPH) enzyme. LIPH gene mutations contribute to the development of irregular or non-functional proteins. Because several cellular processes, including cell maturation and proliferation, are inhibited when this enzyme is inactive, the hair follicles become structurally unreliable, undeveloped, and immature. This results in brittle hair, as well as altered hair shaft development and structure. Because of these nsSNPs, the protein's structure and/or function may be altered. Given the difficulty in discovering functional SNPs in genes associated with disease, it is possible to assess potential functional SNPs before conducting broader population investigations. As a result, in our in silico analysis, we separated potentially hazardous nsSNPs of the LIPH gene from benign representatives using a variety of sequencing and architecture-based bioinformatics approaches. Using seven prediction algorithms, 9 out of a total of 215 nsSNPs were shown to be the most likely to cause harm. In order to distinguish between potentially harmful and benign nsSNPs of the LIPH gene, in our in silico investigation, we employed a range of sequence- and architecture-based bioinformatics techniques. Three nsSNPs (W108R, C246S, and H248N) were chosen as potentially harmful. The present findings will likely be helpful in future large population-based studies, as well as in drug discovery, particularly in the creation of personalized medicine, since this study provides an initial thorough investigation of the functional nsSNPs of LIPH.

Phylogenetic analysis of promoter regions of human Dolichol kinase (DOLK) and orthologous genes using bioinformatics tools

The Dolichol kinase (DOLK) gene encodes the polytopic DOLK protein associated with the endoplasmic reticulum (ER) N-glycosylation pathway catalyzing the final step in the biosynthesis of dolichol phosphate. Dolichol phosphate is an oligosaccharide carrier required for N-glycosylation of DOLK protein, with its deficiency leading to a severe hypo glycosylation phenotype in humans which can cause congenital disorders of glycosylation and death in early infancy. The aim of the present study is to identify the phylogenetic relationship between human and ortholog species based on their conserved sequences in DOLK gene. Sequence alignment of DOLK was carried out in this study and the evolutionarily conserved regulatory sequences were identified using bioinformatics. Promoter sequence of human DOLK was compared with orthologous sequences from different organisms. Conserved non-coding sequences (CNS) and motifs in promoter regions were found by analyzing upstream promoter sequences of Homo sapiens DOLK and its orthologous genes in other organisms. Conserved sequences were predicted in the promoter regions in CNS1 and CNS2. Conserved protein sequences were also identified by alignment of the orthologous sequences. Organisms with similar gene sequences are assumed to be closely related and the ER N-glycosylation pathway is conserved in them.

A Survey on harnessing the Applications of Mobile Computing in Healthcare during the COVID-19 Pandemic: Challenges and Solutions

The COVID-19 pandemic ravaged almost every walk of life but it triggered many challenges for the healthcare system, globally. Different cutting-edge technologies such as Internet of things (IoT), machine learning, Virtual Reality (VR), Big data, Blockchain etc. have been adopted to cope with this menace. In this regard, various surveys have been conducted to highlight the importance of these technologies. However, among these technologies, the role of mobile computing is of paramount importance which is not found in the existing literature. Hence, this survey in mainly targeted to highlight the significant role of mobile computing in alleviating the impacts of COVID-19 in healthcare sector. The major applications of mobile computing such as software-based solutions, hardware-based solutions and wireless communication-based support for diagnosis, prevention, self-symptom reporting, contact tracing, social distancing, telemedicine and treatment related to coronavirus are discussed in detailed and comprehensive fashion. A state-of-the-art work is presented to identify the challenges along with possible solutions in adoption of mobile computing with respect to COVID-19 pandemic. Hopefully, this research will help the researchers, policymakers and healthcare professionals to understand the current research gaps and future research directions in this domain. To the best level of our knowledge, this is the first survey of its type to address the COVID-19 pandemic by exploring the holistic contribution of mobile computing technologies in healthcare area.

Computational approaches for the design of modulators targeting protein-protein interactions

BACKGROUND

Protein-protein interactions (PPIs) are intriguing targets for designing novel small-molecule inhibitors. The role of PPIs in various infectious and neurodegenerative disorders makes them potential therapeutic targets . Despite being portrayed as undruggable targets, due to their flat surfaces, disorderedness, and lack of grooves. Recent progresses in computational biology have led researchers to reconsider PPIs in drug discovery.

AREAS COVERED

In this review, we introduce in-silico methods used to identify PPI interfaces and present an in-depth overview of various computational methodologies that are successfully applied to annotate the PPIs. We also discuss several successful case studies that use computational tools to understand PPIs modulation and their key roles in various physiological processes.

EXPERT OPINION

Computational methods face challenges due to the inherent flexibility of proteins, which makes them expensive, and result in the use of rigid models. This problem becomes more significant in PPIs due to their flexible and flat interfaces. Computational methods like molecular dynamics (MD) simulation and machine learning can integrate the chemical structure data into biochemical and can be used for target identification and modulation. These computational methodologies have been crucial in understanding the structure of PPIs, designing PPI modulators, discovering new drug targets, and predicting treatment outcomes.

Structural-based design of HD-TAC7 PROteolysis TArgeting chimeras (PROTACs) candidate transformations to abrogate SARS-CoV-2 infection

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for about 672 million infections and 6.85 million deaths worldwide. Upon SARS-CoV-2 infection, Histone deacetylases (HDACs) hyperactivate the pro-inflammatory response resulting in stimulation of Acetyl-Coenzyme A and cholesterol for viral entry. HDAC3 inhibition results in the anti-inflammatory activity and reduction of pro-inflammatory cytokines that may restrict COVID-19 progression. Here, we have designed 44 conformational ensembles of previously known HD-TAC7 by enumerating torsions of dihedral angles tested for their binding preferences against HDAC3. Through scrutinizing their placements at active site and binding affinities, three hits were isolated. Cereblon (CRBN) is a well-known E3 ligase that facilitates Proteolysis Targeting Chimeras (PROTACs) targeting. Three entities, including HDAC3-binding moiety (4-acetamido-N-(2-amino-4 fluorophenyl) benzamide), a 6-carbon linker, and CRBN binding ligand (pomalidomide) were assembled to design 4 PROTACs followed by energy minimization and docking against HDAC3 and CRBN, respectively. Subsequent molecular dynamics (MD) and free energy analyses corroborated similar binding trends and favorable energy values. Among all cases, Met88, GLu106, Pro352, Trp380 and Trp388 residues of CRBN, and Pro23, Arg28, Lys194, Phe199, Leu266, Thr299 and Ile346 residues of HDAC3 were engaged in PROTAC binding. Thus, conformational dynamics of both HDAC3 and CRBN moieties are essential for the placement of PROTAC, resulting in target degradation. Overall, the proposed bifunctional small molecules may effectively target HDAC3, stimulating innate immune response to restrict COVID-19 hyperinflammation. This study supports the basis for designing new PROTACs by limiting the conformational search space that may prove more efficient for targeting the protein of interest.Communicated by Ramaswamy H. Sarma.

Fragment-Based Approaches Identified Tecovirimat-Competitive Novel Drug Candidate for Targeting the F13 Protein of the Monkeypox Virus

Monkeypox is a serious public health issue in tropical and subtropical areas. Antivirals that target monkeypox proteins might lead to more effective and efficient therapy. The F13 protein is essential for the growth and maturation of the monkeypox virus. F13 inhibition might be a viable therapeutic target for monkeypox. The in silico fragment-based drug discovery method for developing antivirals may provide novel therapeutic options. In this study, we generated 800 compounds based on tecovirimat, an FDA-approved drug that is efficacious at nanomolar quantities against monkeypox. These compounds were evaluated to identify the most promising fragments based on binding affinity and pharmacological characteristics. The top hits from the chemical screening were docked into the active site of the F13 protein. Molecular dynamics simulations were performed on the top two probable new candidates from molecular docking. The ligand-enzyme interaction analysis revealed that the C2 ligand had lower binding free energy than the standard ligand tecovirimat. Water bridges, among other interactions, were shown to stabilize the C2 molecule. Conformational transitions and secondary structure changes in F13 protein upon C2 binding show more native three-dimensional folding of the protein. Prediction of pharmacological properties revealed that compound C2 may be promising as a drug candidate for monkeypox fever. However, additional in vitro and in vivo testing is required for validation.

MIR149 rs2292832 and MIR499 rs3746444 Genetic Variants Associated with the Risk of Rheumatoid Arthritis

INTRODUCTION

MicroRNAs (miRNAs) are small non-coding RNAs that play a key role in post-transcriptional modulation of individual genes' expression. Several miRNA variants from different populations are known to be associated with an increased risk of rheumatoid arthritis (RA).

AIM

This study was undertaken with the aim to investigate the association of single nucleotide variants; namely, rs2292832, rs3746444, rs11614913, rs1044165, and rs767649 of MIR149, MIR499, MIR196, MIR223, and MIR155, respectively, with RA in the Pakistani population.

METHODS

A case-control study was performed by recruiting and genotyping a total of 600 individuals (300 cases and 300 controls) for these five variants using a TaqMan single-nucleotide polymorphism (SNP) genotyping assay. The resultant genotypic data was statistically analyzed through a chi-squared test for its association with RA under different inheritance models.

RESULTS

We found a significant association of rs2292832 with RA at genotypic (co-dominant (p < 0.0001), dominant (CC vs. TT + CT: OR 2.063 (1.437-2.962); p = 0.0001), recessive (TT vs. CT + CC: OR 0.376 (0.259-0.548); p < 0.0001)), and allelic (allele C) levels ((OR 0.506 (0.402-0637); p < 0.0001)). Similarly, the rs3746444 showed a significant association with RA under co-dominant (p = 0.0001), dominant (GG vs. AA + AG: OR 5.246 (3.414-8.061); p < 0.0001), recessive (AA vs. GG + AG: OR 0.653 (0.466-0.916); p = 0.014), and additive models (G vs. A; OR 0.779 (0.620-0.978); p = 0.03). However, we did not observe any significant association of rs11614913, rs1044165, or rs767649 with RA in our subjects.

CONCLUSION

To our knowledge, this was the first study that investigated and found an association between functional polymorphisms in miRNAs and RA in the Pakistani population.

The monkeypox diagnosis, treatments and prevention: A review

The world is currently dealing with a second viral outbreak, monkeypox, which has the potential to become an epidemic after the COVID-19 pandemic. People who reside in or close to forest might be exposed indirectly or at a low level, resulting in subclinical disease. However, the disease has lately emerged in shipped African wild mice in the United States. Smallpox can cause similar signs and symptoms to monkeypox, such as malaise, fever, flu-like signs, headache, distinctive rash, and back pain. Because Smallpox has been eliminated, similar symptoms in a monkeypox endemic zone should be treated cautiously. Monkeypox is transmitted to humans primarily via interaction with diseased animals. Infection through inoculation via interaction with skin or scratches and mucosal lesions on the animals is conceivable significantly once the skin barrier is disrupted by scratches, bites, or other disturbances or trauma. Even though it is clinically unclear from other pox-like infections, laboratory diagnosis is essential. There is no approved treatment for human monkeypox virus infection, however, smallpox vaccination can defend counter to the disease. Human sensitivity to monkeypox virus infection has grown after mass vaccination was discontinued in the 1980s. Infection may be prevented by reducing interaction with sick patients or animals and reducing respiratory exposure among people who are infected.