"Mondal, A." / Topic: business.industry - Searchworks@Jio Institute Digital Library Search Results

6,179 results on '"Mondal, A."'

1. Corrections: Xu, L.; Mondal, D.; Polya, D.A. Positive Association of Cardiovascular Disease (CVD) with Chronic Exposure to Drinking Water Arsenic (As) at Concentrations below the WHO Provisional Guideline Value: A Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public Health 2020, 17

Author: Debapriya Mondal, David A. Polya, and Lingqian Xu
Subjects: Chronic exposure, medicine.medical_specialty, Health, Toxicology and Mutagenesis, education, lcsh:Medicine, Disease, 010501 environmental sciences, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, Environmental health, health services administration, Medicine, 030212 general & internal medicine, health care economics and organizations, 0105 earth and related environmental sciences, business.industry, Public health, INT, lcsh:R, Public Health, Environmental and Occupational Health, Guideline, humanities, n/a, Meta-analysis, business
Abstract: In our recently published meta-analysis, due to an oversight, we treated urinary As concentration data reported by Tsinovoi et al [...]
Published: 2020

2. Mobile IP, Present State and Future (Mondal, A.S.; 2003) [Book review]

Author: Piotr Pacyna
Subjects: Computer Networks and Communications, Mobile IP, Computer science, business.industry, State (computer science), Electrical and Electronic Engineering, business, Computer Science Applications, Computer network
Published: 2005

3. Letter Regarding 2014 Journal of Epidemiology Article by Nazrul Islam Mondal and Mahendran Shitan

Author: Torsten J. Selck
Subjects: Gerontology, medicine.medical_specialty, education.field_of_study, Sanitation, Epidemiology, business.industry, media_common.quotation_subject, Population, International Health, Fertility, General Medicine, Per capita income, Test (assessment), Life Expectancy, medicine, Life expectancy, Humans, Improved sanitation, business, education, Letter to the Editor, Developing Countries, Demography, media_common
Abstract: Dear Prof. Inoue, In the introduction to their 2014 Journal of Epidemiology article,1 Nazrul Islam Mondal and Mahendran Shitan state that, “[i]ncreases in life expectancy have been attributed to improvements in sanitation,” (p.117) but fail to either reference or test for this assertion. In their analysis of recent data for poor and middle-income countries, they only focus on fertility, schooling, income, physician density, and human immunodeficiency virus prevalence. According to the World Health Organization’s World Health Statistics 2013 (p.107), improved sanitation is a recognized factor associated with life expectancy and should therefore be included in multivariate regression analysis of life expectancy. Correlating cross-sectional data from the United States Central Intelligence Agency’s World Factbook for 2012 yields a coefficient of 69% (N = 161) for improved sanitation and life expectancy; by contrast, income per capita, which has been regarded since Samuel Preston’s ground-breaking 1975 study in Population Studies as the driving force in explaining life expectancy in a cross-national setting, only scores 61% (N = 165). Yours sincerely, Torsten J. Selck
Published: 2015

4. Young British Muslim Voices. By Anshuman A. Mondal. Oxford: Greenwood World Publishing, 2008

Author: Claire Dwyer
Subjects: Political sociology, Negotiation, Politics, Literary theory, Publishing, business.industry, media_common.quotation_subject, Identity (social science), Gender studies, Sociology, business, media_common
Abstract: This chapter presents a review of the book Young British Muslim Voices . This book is an opportunity for the author, of part-Muslim heritage but brought up in a middle-class secular family "far removed from the social environments of most young British Muslims", to talk to young Muslims like those he encounters as a lecturer in literary theory and post-colonial history at Brunel University. It is divided into seven chapters with broad themes including "Identity", "Politics", "Generational conflict", "Being Muslim" and "Women". This last is important, with some poignant accounts of the struggles faced by young women as they negotiate questions of marriage and particularly the issue of marriage partners chosen for them by their parents. Yet separating "Women" as a category for a chapter heading also seems somewhat surprising since gender identities and gendered ideas permeate so many of the other chapters. Keywords: generational conflict; politics; women; young British Muslims
Published: 2009

5. Emergency Cross-sectional Radiology Daniel Y. F. Chung, Dipanjali Mondal, Erskine J. Holmes, Rakesh R. Misra. New York, NY: Cambridge University Press, 2012, 220 pages, $55.00 (softcover)

Author: Amadeo F. Sturla and Tracie Potis
Subjects: business.industry, Emergency Medicine, Medicine, General Medicine, business, Humanities
Published: 2013

6. Destination source correlation algorithm to monitor local networks: A worm detection technique

Author: Sayan Nath, Avijit Mondal, and Debdutta Pal
Subjects: Work (electrical), business.industry, Computer science, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Real-time computing, Local area network, Correlation algorithm, The Internet, General Medicine, Monitoring methods, business, Infection rate, TRACE (psycholinguistics)
Abstract: The necessitate for a worldwide monitoring method for Internet worm detection is obvious. Similarly local reply and exposure inspection also understandable. Generally large set of data is used to supervise worm activity, but found tricky to relate at local network. We observe “victim number based approaches” are not stable for related networks. So what work is suitable for local network? To solve this issue, we recommend Destination Source Correlation algorithm which monitors local networks and looks into the infection rate & tracks real infected hosts to offer a precise reply. Although “HoneyStat” strategy is already been used to trace temporary infection cycle of worm.
Published: 2023

7. An optimised approach for saturation flow estimation of signalised intersections

Author: Ankit Gupta, Vijai Kumar Arya, and Satyajit Mondal
Subjects: Physics::Fluid Dynamics, Flow (mathematics), Traffic engineering, business.industry, Traffic conditions, Flow estimation, Environmental science, Transportation, Mechanics, Saturation (chemistry), business, Measure (mathematics), Civil and Structural Engineering
Abstract: Saturation flow is a fundamental performance measure parameter used for the design of intersections. However, in mixed traffic conditions, the evaluation of saturation flow is more sensitive due to heterogeneous traffic where vehicles are travelling in the same right of way without any lane separation. In such cases, the passenger car unit (PCU) plays a major role in analysing heterogeneity using an equivalent value for each vehicle. This paper presents a novel approach using the optimisation technique to determine PCU values and saturation flow for mixed traffic streams. Field data were collected at six signalised intersections in three Indian cities. The optimisation technique produced reasonable PCU values and an accurate estimation of saturation flow of 1906 PCUs/h. The saturation flow prediction model was developed using the multi-linear regression technique as per Pearson's correlation between saturation flow and vehicle compositional share. The developed saturation flow model was validated using field data from another site and the predicted value was in good agreement with the observed value. Finally, the predictive model was used to analyse the impact of traffic composition on saturation flow in mixed traffic streams.
Published: 2022

8. Efficient Online Heuristic Approach for Handling Fluctuation in Renewable Energy in a Microgrid

Author: Pranay Kumar Saha and Arijit Mondal
Subjects: Mathematical optimization, Schedule, Linear programming, Computer Networks and Communications, Computer science, Heuristic (computer science), business.industry, Grid, Computer Science Applications, Renewable energy, Control and Systems Engineering, Variable pricing, Microgrid, Electrical and Electronic Engineering, business, Energy (signal processing), Information Systems
Abstract: Renewable resources are prime contributors to energy in a microgrid. Fluctuation in the renewable outcome is inevitable because of strong dependence on the atmospheric condition. Energy storage systems (ESSs) are often used to mitigate variability issues. Development of efficient methodology to supply necessary electrical energy to the load from a combination of ESS and utility grid with minimal cost is the need of the hour. The variable pricing scheme adds another dimension to the problem. In this article, we propose a mixed-integer linear programming (MILP) formulation to find an optimal operation schedule of charging/discharging of an ESS offline. As MILP formulation fails to scale for large inputs, we propose a heuristic algorithm, namely, intelligent day-ahead schedule with predicted renewable energy heuristic algorithm, to quickly find a good solution. We propose another online heuristic strategy, namely, online scheduling algorithm (OSA), which can take account of real-time fluctuation. We provide an extensive comparative study of the different proposed approaches using the Pecan Street dataset. We observe that the OSA can provide a reasonably acceptable solution considering its minimal requirement of computing resources. Under a significant fluctuation in the renewable outcome, a maximum of 18% deviation was observed for the OSA compared to every slot optimal results, i.e., OSET $_\mathtt {on}$ .
Published: 2022

9. Burden and Coping of Caregivers of Men with Alcohol and Opioid Dependence

Author: Nitu Mallick, Kapil Dev Mondal, Supriya Kumar Mondal, Sumita Bhattacharyya, and Ranjan Bhattacharyya
Subjects: Coping (psychology), medicine.medical_specialty, business.industry, Alcohol, behavioral disciplines and activities, chemistry.chemical_compound, Distress, chemistry, Opioid, mental disorders, Medicine, business, Psychiatry, medicine.drug
Abstract: Alcohol and opioid dependence as well as Schizophrenia causes major distress among the family members and caregivers……
Published: 2021

10. QoS-Aware Dynamic Cost Management Scheme for Sensors-as-a-Service

Author: Sudip Misra, Aishwariya Chakraborty, and Ayan Mondal
Subjects: Information Systems and Management, Computer Networks and Communications, Computer science, business.industry, Quality of service, Cost accounting, Usability, Service provider, Computer Science Applications, Oligopoly, Risk analysis (engineering), Hardware and Architecture, Stackelberg competition, Profitability index, business, Wireless sensor network
Abstract: In this paper, we study the problem of quality of service (QoS)-aware cost management of sensor-cloud comprising of multiple sensor-cloud service providers (SCSPs) and sensor-owners. The rapid adaptation of the wireless sensor network (WSN) technology led to the conceptualization of the sensor-cloud infrastructure which primarily aims to reduce the complexities associated with operating WSN-based applications by rendering Sensors-as-a-Service (Se-aaS). However, the oligopolistic market scenario of sensor-cloud involving multiple SCSPs and sensor-owners significantly impacts its profitability and QoS. Thus, there is a need to explore the dynamics of this market competition elaborately in order to maintain the usability of sensor-cloud. Existing literature focusing on sensor-cloud fails to address these issues. Hence, in this work, we analyze the interactions between the SCSPs and the sensor-owners in the Se-aaS market using a game-theoretic approach. We propose a QoS-aware dynamic cost management scheme, named QUEST, to determine the optimal strategies of the various actors in sensor-cloud market. Through simulations, we observe that using QUEST, the price paid by end-users decreases by 10.31-20.43% and the profit of sensor-owners increases by 66.83-89.94%. Moreover, QUEST ensures the optimal distribution of service-requests among the SCSPs and the sensor-owners, and the satisfaction factor of the end-users.
Published: 2022

11. AuGrid: Edge-Enabled Distributed Load Management for Smart Grid Service Providers

Author: Pallav Kumar Deb, Sudip Misra, and Ayan Mondal
Subjects: Load management, Smart grid, Computer Networks and Communications, Renewable Energy, Sustainability and the Environment, business.industry, Computer science, Enhanced Data Rates for GSM Evolution, Service provider, business, Computer network
Published: 2022

12. Oral 600mg misoprostol vs manual vacuum aspiration (MVA) for the management of incomplete abortion- a randomized controlled trail

Author: Debraj Mondal, Woothvasita Mondal, and Indranil Dutta
Subjects: medicine.medical_specialty, Vacuum aspiration, business.industry, Obstetrics, medicine.medical_treatment, Abortion, medicine.disease, Miscarriage, Incomplete Abortion, Obstetrics and gynaecology, Products of conception, medicine, Lost to follow-up, business, Misoprostol, medicine.drug
Abstract: Approximately one in five recognized pregnancies are spontaneously miscarried in the first trimester and an additional 22% end in induced abortion. Incomplete abortion occurs when there are retained products of conception (POC) after induced abortion (whether by unsafe or safe methods) or after spontaneous abortion, also known as miscarriage. Some women may resort to self-induction. These conditions increase the likelihood that women will experience abortion complications and will seek treatment for incomplete terminations. Incomplete abortion can be treated with expectant management, which allows for spontaneous evacuation of the uterus, or active management, using surgical or medical methods. Expectant management is not preferred by many providers due to its relatively low efficacy and the fact that the time interval to spontaneous expulsion is unpredictable.The study was performed in a Durgapur Steel plant hospital, a tertiary care Hospital in West Bengal, India. The institute caters a huge area, both rural and urban. The study was done between 1st January2019 to 31st October 2020.Study population was drawn from patients attended OPD and patients admitted with incomplete abortions, either of spontaneous or, induced etiology in the Dept. Of Obst, & Gynae, Durgapur Steel plant hospital. A total of 80 women were randomised to either a single dose of 600 micrograms of oral misoprostol or MVA.160 women were recruited to the trial, of which 80 women were grouped into misoprostol group & another 80 to MVA group. Immediately after abortion, all the patients were available & data collected from all the patients. But during next follow-up after 1-2 wk, 33 in the MVA group & 27 in the misoprostol group did not come (Lost to follow up n=33) for follow-up. So, approximately 41% (33) of participants in MVA group & 34% (27) in the misoprostol group were lost to follow-up.In our study both MVA & Misoprostol groups had similar age distribution. Mean age in MVA group 23.5 years (± 4.5) and in MISO group 23.4 Years (± 4.8). For treatment of first-trimester uncomplicated incomplete abortion, both manual vacuum aspiration and 600 µg oral misoprostol are safe, effective, and acceptable treatments. However, misoprostol appears to be somewhat better option than MVA, in regards to availability, low cost of therapy, less pain, less need of expert manpower or specialised instruments.
Published: 2021

13. AN EPIDEMIOLOGICAL STUDY ON SELECTED RISK FACTORS OF STROKE AMONG ADULTS LIVING IN A SLUM OF KOLKATA

Author: Nirmalya Manna, Soumitra Mondal, S. N. Banerjee, V. Abhinesh, Debasis Das, and Tanushree Mondal
Subjects: medicine.medical_specialty, business.industry, Environmental health, Epidemiology, medicine, medicine.disease, business, Stroke, Slum
Abstract: Introduction: Stroke is a major cause of permanent disability. Currently, the burden of stroke in terms of mortality, morbidity and disability is increasing across the world including India. The main risk factor of stroke are high blood pressure, tobacco smoking, obesity, high blood cholesterol and diabetes mellitus. Lifestyle factors that increase the risk of stroke include smoking, drinking alcohol, high fat diet. Objective: To identify the socio demographic prole of study population and to nd out the proportion of selected risk factors of stroke among the study subjects and to assess different risk factors among them. Methodology:An observational descriptive cross sectional study was undertaken in urban eld practice area of a teaching institute of Kolkata. By 2 using the formula 4pq/l , total 200 participants were selected by simple random sampling and they were interviewed during house to house visit with WHO STEPS questionnaire for Non Communicable Diseases (NCD). Results: The mean age of the participants was 42.39 years and 33.5% participants were overweight with high BMI. Only 26 % participants were hypertensive and most of them (57.69%) had duration of hypertension more than 1 year. Majority (72.03%) did not have diabetes mellitus. Most (61%) of study participants had done moderate intensity physical activity regularly. Almost 25.5% study participants consume tobacco products and Most of the study 92.8% participants consumed alcohol 1-4 times in past 30 days. Signicant association were seen between gender and smoking (p=0.005), Gender and alcohol consumption (p=0.000), Religion and alcohol consumption (p=0.03), Occupation category and alcohol consumption (p=0.002), Marital status and hypertension (p=0.001). Conclusion: Effective public health intervention required promote regular exercise and healthy eating, avoiding alcohol and tobacco. Periodic screening for hypertension and diabetes and early diagnosis and treatment are key strategy for stroke prevention.
Published: 2021

14. Systemic deficiency of vitronectin is associated with aortic inflammation and plaque progression in ApoE‐Knockout mice

Author: Vivek Chander, Ulaganathan Mabalirajan, Aditya Konar, Devasmita Chakravarty, Aleepta Guha Ray, Bishnu Prasad Sinha, Prakash Chandra Mondal, Khawer N. Siddiqui, and Arun Bandyopadhyay
Subjects: Apolipoprotein E, Cancer Research, Pathology, medicine.medical_specialty, Endothelium, endothelium, Physiology, QH301-705.5, Plaque progression, Inflammation, Biochemistry, Genetics and Molecular Biology (miscellaneous), plaque, chemistry.chemical_compound, Medicine, Biology (General), biology, business.industry, Cholesterol, cholesterol, medicine.anatomical_structure, chemistry, inflammation, Knockout mouse, biology.protein, Molecular Medicine, Vitronectin, medicine.symptom, atherosclerosis, business
Abstract: Optimal cell spreading and interplay of vascular smooth muscle cells (VSMC), inflammatory cells, and cell adhesion molecules (CAM) are critical for progressive atherosclerosis and cardiovascular complications. The role of vitronectin (VTN), a major cell attachment glycoprotein, in the pathogenesis of atherosclerosis remains elusive. In this study, we attempt to examine the pathological role of VTN in arterial plaque progression and inflammation. We found that, relative expression analysis of VTN from the liver of Apolipoprotein E (ApoE) Knockout mice revealed that atherosclerotic progression induced by feeding mice with high cholesterol diet (HCD) causes a significant downregulation of VTN mRNA as well as protein after 60 days. Promoter assay confirmed that cholesterol modulates the expression of VTN by influencing its promoter. Mimicking VTN reduction with siRNA in HCD fed ApoE Knockout mice, accelerated athero‐inflammation with an increase in NF‐kB, ICAM‐1, and VCAM‐1 at the site of the plaque along with upregulation of inflammatory proteins like MCP‐1 and IL‐1β in the plasma. Also, matrix metalloprotease (MMP)‐9 and MMP‐12 expression were increased and collagen content was decreased in the plaque, in VTN deficient condition. This might pose a challenge to plaque integrity. Human subjects with acute coronary syndrome or having risk factors of atherosclerosis have lower levels of VTN compared to healthy controls suggesting a clinical significance of plasma VTN in the pathophysiology of coronary artery disease. We establish that, VTN plays a pivotal role in cholesterol‐driven atherosclerosis and aortic inflammation and might be a useful indicator for atherosclerotic plaque burden and stability.
Published: 2022

15. Dynamic Price-Enabled Strategic Energy Management Scheme in Cloud-Enabled Smart Grid

Author: Sudip Misra, Aishwariya Chakraborty, and Ayan Mondal
Subjects: Scheme (programming language), Computer Networks and Communications, business.industry, Energy management, Computer science, Distributed computing, Cloud computing, Computer Science Applications, Smart grid, Hardware and Architecture, business, computer, Software, Information Systems, computer.programming_language
Published: 2022

16. Core-log integration and application of machine learning technique for better reservoir characterisation of Eocene carbonates, Indian offshore

Author: Ilius Mondal and Kumar Hemant Singh
Subjects: Artificial neural network, TK1001-1841, MICP, business.industry, Wireline, Flow (psychology), Petrophysics, Microfacies, Machine learning, computer.software_genre, Permeability, NMR, Permeability (earth sciences), Production of electric energy or power. Powerplants. Central stations, Hydraulic flow unit, Point (geometry), Submarine pipeline, Artificial intelligence, Porosity, business, computer, Geology
Abstract: Rock types, pore structures and permeability are essential petrophysical outputs, and they contribute considerably to the highest degree of uncertainty in reservoir characterisation. These factors have a strong influence on exploration and field development decisions. Core analysis is the best approach for estimating permeability, assigning rock types and characterising pore networks. Wireline logs are the most often employed method for estimating the parameters at each data point of reservoirs since there are more un-cored wells than cored wells. Artificial intelligence, on the other hand, is gaining popularity in the geosciences due to the ever-increasing complexity and volume of available subsurface data. This is also obvious in the demand for faster and more accurate interpretations in order to identify reservoir characteristics in increasingly difficult and complicated petroliferous basins. Artificial Neural Networks and Self-Organizing Maps are examples of machine learning approaches that can be used in both supervised and unsupervised modes for modelling and prediction. Eocene carbonates of Mukta oilfield are the major pay rocks of strong geological heterogeneity in terms of their porosity and permeability relationship with pore structures. This paper outlines a novel method of rock fabric classification, pore structure characterization, flow unit classification and robust reservoir permeability modelling based on an integrated approach that incorporates core measurements, log data and machine learning techniques. The pore structure has been characterised by the combination of conventional core, capillary pressure and nuclear magnetic resonance data. Artificial neural network has added an adequate benefit in accurate permeability modelling by utilizing the concepts of rock classifications and hydraulic flow units.
Published: 2022

17. Evaluation of recombinase-based isothermal amplification assays for point-of-need detection of SARS-CoV-2 in resource-limited settings

Author: Ahmed Abd El Wahed, Md. Utba Rashid, Mojnu Miah, Mohammed Ziaur Rahman, Rajashree Chowdhury, Dinesh Mondal, Mohammad Enayet Hossain, Mustafizur Rahman, James Baker, Faria Hossain, Xuejun Ma, Prakash Ghosh, and Malcolm S. Duthie
Subjects: Microbiology (medical), Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Loop-mediated isothermal amplification, Recombinase Polymerase Amplification, Infectious and parasitic diseases, RC109-216, RT-RAA, Computational biology, Sensitivity and Specificity, Article, Recombinases, Diagnosis, Recombinase, Humans, Medicine, SARS-CoV-2, business.industry, COVID-19, Reverse Transcription, General Medicine, Reverse transcriptase, Confidence interval, Reverse transcription polymerase chain reaction, Infectious Diseases, RNA, Viral, RT-RPA, point-of-need, business, Nucleic Acid Amplification Techniques
Abstract: Objectives: The democratization of diagnostics is one of the key challenges towards containing the transmission of coronavirus disease 2019 (COVID-19) around the globe. The operational complexities of existing PCR-based methods, including sample transfer to advanced central laboratories with expensive equipment, limit their use in resource-limited settings. However, with the advent of isothermal technologies, the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is possible at decentralized facilities. Methods: In this study, two recombinase-based isothermal techniques, reverse transcription recombinase polymerase amplification (RT-RPA) and reverse transcription recombinase-aided amplification (RT-RAA), were evaluated for the detection of SARS-CoV-2 in clinical samples. A total of 76 real-time reverse transcription PCR (real-time RT-PCR) confirmed COVID-19 cases and 100 negative controls were evaluated to determine the diagnostic performance of the isothermal methods. Results: This investigation revealed equally promising diagnostic accuracy of the two methods, with a sensitivity of 76.32% (95% confidence interval 65.18–85.32%) when the target genes were RdRP and ORF1ab for RT-RPA and RT-RAA, respectively; the combination of N and RdRP in RT-RPA augmented the accuracy of the assay at a sensitivity of 85.53% (95% confidence interval 75.58–92.55%). Furthermore, high specificity was observed for each of the methods, ranging from 94.00% to 98.00% (95% confidence interval 87.40–9.76%). Conclusions: Considering the diagnostic accuracies, both RT-RPA and RT-RAA appear to be suitable assays for point-of-need deployment for the detection of the pathogen, understanding its epidemiology, case management, and curbing transmission.
Published: 2022

18. A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic Diseases

Author: Wei Jiang, Sumit Majumder, Samarth Kumar, Sophini Subramaniam, Xiaohe Li, Ridha Khedri, Tapas Mondal, Mansour Abolghasemian, Imran Satia, and M. Jamal Deen
Subjects: medicine.medical_specialty, Respiratory rate, SARS-CoV-2, Remote patient monitoring, business.industry, Biomedical Engineering, COVID-19, Wearable computer, Telehealth, Disease, Wearable Electronic Devices, Blood pressure, Artificial Intelligence, Oxygen Saturation, Chronic Disease, medicine, Humans, Heart rate variability, Intensive care medicine, business, Oxygen saturation (medicine)
Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic since early 2020. The coronavirus disease 2019 (COVID-19) has already caused more than three million deaths worldwide and affected people's physical and mental health. COVID-19 patients with mild symptoms are generally required to self-isolate and monitor for symptoms at least for 14 days in the case the disease turns towards severe complications. In this work, we overviewed the impact of COVID-19 on the patients' general health with a focus on their cardiovascular, respiratory and mental health, and investigated several existing patient monitoring systems. We addressed the limitations of these systems and proposed a wearable telehealth solution for monitoring a set of physiological parameters that are critical for COVID-19 patients such as body temperature, heart rate, heart rate variability, blood oxygen saturation, respiratory rate, blood pressure, and cough. This physiological information can be further combined to potentially estimate the lung function using artificial intelligence (AI) and sensor fusion techniques. The prototype, which includes the hardware and a smartphone app, showed promising results with performance comparable to or better than similar commercial devices, thus potentially making the proposed system an ideal wearable solution for long-term monitoring of COVID-19 patients and other chronic diseases.
Published: 2022

19. Multi‐trait selection of bread wheat ideotypes for adaptation to early sown condition

Author: Shashi Bhushan Tripathi, Pradeep Kumar Bhati, Suchismita Mondal, Farhad, Uttam Kumar, Arun Kumar Joshi, Ravi P. Singh, Anoop Anand Malik, and Manish K. Vishwakarma
Subjects: business.industry, Multi trait, Adaptation, Biology, business, Agronomy and Crop Science, Selection (genetic algorithm), Biotechnology
Published: 2022

20. Experimental study on drilling burr formation minimization and parameters optimization using BBO algorithm

Author: Tanumoy Banerjee, Nripen Mondal, Sourav Das, and Madhab Chandra Mandal
Subjects: Burr formation, Backup, business.industry, Contour line, Process (computing), Drilling, Structural engineering, Response surface methodology, Minification, business, Mathematics, Clearance
Abstract: In the drilling process, unwanted materials which extend beyond the work-piece surface are called burr. The main objective is to find out optimum drilling condition which minimize the burr height and burr thickness. For this purpose, an experimental study has been performed on aluminium alloys using an HSS twist drill according to L27 experimental run. For this experiment the input process parameters spindle speed, feed rate and depth inside backup support and for the response parameters burr height and burr thickness have been considered. The response surface methodology-based regression equation has been developed for burr height and burr thickness using this experimental dataset and compared with the experimental result that shows a close matching. The effect of the input process parameters i.e. spindles speed; feed rate and depth inside backup support are presented in contour plots to understand the effect of them. Finally, optimum drilling process has been obtained by using Biogeography Based Optimisation (BBO) technique to minimize the burr height and burr thickness. From BBO optimization it cleared that minimum burr height is found at a speed of 320 rpm, feed of 0.08 mm/rev and depth inside backup support of 0.20 mm, also minimum burr thickness is produced at a speed of 125 rpm, feed of 0.9395 mm/rev and depth inside backup support of 0.56 mm.
Published: 2022

21. SEED: QoS-Aware Sustainable Energy Distribution in Smart Grid

Author: Sankar K. Pal, Ayan Mondal, P. V. Sudheer Kumar, and Sudip Misra
Subjects: Control and Optimization, Profit (accounting), Renewable Energy, Sustainability and the Environment, business.industry, Computer science, Quality of service, Distributed computing, Transmission loss, Energy consumption, Grid, Smart grid, Computational Theory and Mathematics, Hardware and Architecture, Distributed generation, business, Software, Energy (signal processing)
Abstract: In this paper, the problem of ensuring reliable energy distribution in smart grid is studied, while considering that each customer is connected with multiple micro-grids. In the traditional smart grid, each customer is connected with a single micro-grid. Additionally, in the existing literature, some researchers proposed energy distribution schemes considering the presence of multiple micro-grids. However, none of these existing schemes consider that the customers can consume energy from multiple micro-grids simultaneously, which can essentially enhance the quality of service (QoS) in energy distribution, as it aids in reducing the transmission loss. To address the aforementioned problem, we design a sustainable energy distribution scheme, named SEED, to decide the distributed energy request vector, while ensuring high QoS in terms of energy availability and the price charged by the micro-grids. We use evolutionary game to ensure that the energy load is optimally distributed among the micro-grids and each micro-grid gets an equal opportunity to earn a profit. Through simulation, we observe that SEED ensures sustainable environment by reducing the CO2 emission by 14.05%, while reducing non-renewable energy consumption from the main grid. Additionally, the profit of each micro-grid increases by 58.32%, while reducing the cost of the customers by 29.87%.
Published: 2022

22. Correlates of COVID-19 mortality: A descriptive study

Author: Tanushree Mondal, Piyali Haldar, PankajKumar Mandal, Baisakhi Maji, SamirKumar Ray, and Dibakar Haldar
Subjects: obesity, Coronavirus disease 2019 (COVID-19), business.industry, covid-19 pandemic, Medicine, General Medicine, median age, Descriptive research, business, mortality, Demography
Abstract: Background and Objectives: The enigma COVID-19 pandemic already involved major parts of the globe with a toll of 3,175,207 victims and 224,172 deaths from 215 countries/territories as on May 1, 2020. It cripples nations by the loss of human resources, economic decline, hunger, unemployment insecurities giving way to mental morbidities, and still many others to be discovered. A systematic search about correlates of its killing attribute is urgently warranted. Materials and Methods: A cross-sectional survey for 3 weeks (03/5/2020–23/5/2020) was conducted in a teaching institution at Kolkata aiming to describe the magnitude and correlates of COVID-19 mortality. Data pertaining to COVID-19 cases, deaths of affected countries, and their potential correlates were retrieved from various public domains, for example, https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports, worldpopulationreview.com, data.worldbank.org. Results: Multiple linear regressions analysis through forward method revealed a maximum R2 of 57.7% (P = 0.03) and a significant model fit (P = 0.000) for COVID-19 mortality rate per million which was revealed to have a positive association with median age of the population of the country (β = 0.073), proportion of population sustaining obesity (β = 0.051) and %of population consumed alcohol over the past 12 months (β = 0.018). It meant for 1 year increase in median age COVID-19 mortality would be increased by 8.0%. Similarly, COVID-19 mortality would be increased by 2.0% and 5.0% by inclusion in the model of 1% alcoholic, and 1% obese individual, respectively, Conclusion: Notwithstanding variations in testing, reporting, and patients' management strategy the findings of this research have some implications to the scientific fraternity and policymakers.
Published: 2022

23. A tumor-derived type III collagen-rich ECM niche regulates tumor cell dormancy

Author: Isrha Taha, Jose Javier Bravo-Cordero, Chandrani Mondal, Ana Rita Nobre, Julie Di Martino, Alexandra Naba, Elana J. Fertig, Julio A. Aguirre-Ghiso, and Eduardo F. Farias
Subjects: Type III collagen, Cancer Research, Text mining, Oncology, business.industry, Niche, Dormancy, Tumor cells, Biology, Tumor-Derived, business, Cell biology, Uncategorized
Abstract: Cancer cells disseminate from primary tumors and seed in distant organs, where they can remain dormant for many years before forming clinically detectable metastases. Little is known about how extracellular matrix (ECM) sensing and remodeling can induce and sustain dormancy of disseminated tumor cells (DTCs). Another unanswered question is whether dormant cells themselves are able to assemble ECM niches to sustain their phenotype. From an analysis of the ECM proteome, we found that dormant cancer cells assemble an ECM niche enriched in type III collagen. Tumor-derived, but not stroma-derived type III collagen is required to sustain tumor dormancy as its disruption restores proliferation of dormant cancer cells. Mechanistically, we show that type III collagen interacts with DDR1 to activate STAT1 signaling to induce and maintain dormancy. Second harmonic generation two-photon microscopy further reveals that the dormancy-to-reactivation transition is accompanied by changes in collagen three-dimensional architecture and type III collagen abundance. In vivo, exogenous type III collagen stops tumor growth by inducing dormancy and prevents reawakening of residual dormant cells by prolonging their quiescence. Analysis of clinical samples reveals that type III collagen levels are increased in tumors from head and neck squamous cell carcinoma (HNSCC) lymph node negative patients when compared lymph node positive patients. Our data reveal a novel mechanism by which dormant DTCs depend on the assembly of a type III collagen-rich ECM niche to maintain quiescence. Manipulation of these mechanisms could serve as a self-sustained barrier to metastasis through DTCs dormancy induction.
Published: 2023
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24. Multiorgan dysfunction syndrome in sepsis: Is macrophage activation syndrome secondary to infection?

Author: Soumita Chel, Arnab Nandy, Shankha Subhra Nag, Divyoshanu M Ivan, Tanushree Mondal, Avijit Hazra, Rakesh Mondal, and Mihir Sarkar
Subjects: medicine.medical_specialty, business.industry, Septic shock, Multiorgan dysfunction, RC581-607, medicine.disease, Sepsis, Internal medicine, Macrophage activation syndrome, Cohort, medicine, Original Article, Observational study, Immunologic diseases. Allergy, Stage (cooking), business, Paediatric rheumatology
Abstract: OBJECTIVE: To assess macrophage activation syndrome (MAS) in septic shock leading to multiorgan dysfunction syndrome (MODS). METHODS: A prospective observational study was conducted at a tertiary care hospital to evaluate the MAS criteria in different stages of sepsis. Children aged 6 months to 12 years in different stages of septic shock were recruited. The Paediatric Rheumatology International Trials Organisation Collaborative Initiative (PRINTO) criteria of MAS were applied initially at the stage of septic shock and subsequently at the stage of MODS (MODS cohort) or following recovery from septic shock without going through MODS (non-MODS cohort). RESULTS: A total of 127 subjects were studied, with 53 comprising the MODS cohort and the rest 74 the non-MODS cohort. At the initial assessment, a comparable proportion of subjects in the MODS and non-MODS groups satisfied the MAS criteria (20.75% and 25.68%, respectively; p=0.529). However, by the time of progression to MODS, 81.13% of the subjects satisfied the MAS criteria in the MODS group, whereas only 16.18% subjects in the non-MODS group continued to satisfy the MAS criteria (p
Published: 2021

25. An experimental and theoretical understanding of a UV photodetector based on Ag nanoparticles decorated Er-doped TiO2 thin film

Author: Sanjib Mondal, S. M. M. Dhar Dwivedi, Subhananda Chakrabarti, Anupam Ghosh, Sushama Sushama, Chiranjib Ghosh, and Aniruddha Mondal
Subjects: 010302 applied physics, Electron mobility, Photoluminescence, Materials science, business.industry, Process Chemistry and Technology, Photoconductivity, Doping, Nanoparticle, 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials, Responsivity, 0103 physical sciences, Materials Chemistry, Ceramics and Composites, Optoelectronics, Diffuse reflection, Thin film, 0210 nano-technology, business
Abstract: Glancing angle deposition (GLAD) was employed to synthesise plasmonic Silver (Ag) nanoparticles (NPs) on the chemically prepared Erbium-doped Titanium dioxide (Er:TiO2) thin films (TFs). The impact of using Ag NPs on the morphological, optical, and electrical aspects of Er:TiO2 TFs were sequentially analysed. From the field emission scanning electron microscopy (FESEM) image, the Ag NPs appeared spherical and uniformly distributed on the Er:TiO2 TFs. The size (diameter) of the maximum number of Ag NPs was ~15 nm (calculated from FESEM image). Energy dispersive X-ray (EDX) spectra assured the presence of Ag NPs on the TFs. X-ray diffraction (XRD) pattern for Ag NPs decorated Er:TiO2 TFs closely resembled the face centred cubic crystal structure of Ag NPs and body centred tetragonal Ag–O compound. The optical spectroscopy (UV–visible diffuse reflectance and photoluminescence) elucidated that the absorption of light was significantly enhanced in the UV–visible spectral range for the TFs in which Ag NPs were sandwiched between Er:TiO2 TF layers (Er:TiO2/Ag NPs/Er:TiO2). The Schottky contact-based Au/Er:TiO2/Si photodetector (PD) and Au/Er:TiO2/Ag NPs/Er:TiO2/Si (plasmonic) PD were constructed. The plasmonic PD offered a better photo-responsivity of ~4.5 fold higher as compared to Er:TiO2 TF-based PD upon 380 nm illumination under −6 V bias. An increase in detectivity and a decrease in noise equivalent power was observed for the plasmonic device compared to Er:TiO2 device in the UV region. A theoretical approach had been adopted to calculate the wavelength-dependent responsivity for both devices. Further, the important parameters like photoconductive gain, electron transit time and electron mobility were calculated by simulating the experimental responsivity curves of the devices. These parameters exhibited improvement in the UV regime for the plasmonic PD. The fast temporal response with short rise and decay time proves the excellent efficiency of the plasmonic UV PD.
Published: 2021

26. Dosimetric analysis of Deep Inspiratory Breath-hold technique (DIBH) in left-sided breast cancer radiotherapy and evaluation of pre-treatment predictors of cardiac doses for guiding patient selection for DIBH

Author: Kazi Sazzad Manir, Bipasha Pal, Soura Palit, Jyotirup Goswami, Soujanya Ferdinand, Monidipa Mondal, Sayan Das, Suresh Das, Suman Mallik, Papai Sarkar, Arijit Sen, and Subhayan Mondal
Subjects: HH, Heart Height, HCWD, Heart Chest Wall Distance, LAD, Left Anterior Descending, medicine.medical_treatment, LOD, Lung Orthogonal Distance, SCF, Supraclavicular Fossa, CLD, Central Lung Distance, 030218 nuclear medicine & medical imaging, HV, Heart Volume, Breast cancer, 0302 clinical medicine, CS, Chest Separation, OAR, Organs-at-risk, Medicine, Lung volumes, MHD, Maximum Heart Depth, integumentary system, PTV, Planning target volume, Oncology (nursing), Health Policy, RTOG, Radiation Therapy Oncology Group, HCWL, Heart Chest Wall Length, ROC, Receiver Operating Characteristic, CCD, Cardiac Contact Distance, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, medicine.anatomical_structure, EORTC, European Organization for Research and Treatment of Cancer, 030220 oncology & carcinogenesis, Radiology, Research Article, lcsh:Medical physics. Medical radiology. Nuclear medicine, medicine.medical_specialty, HVIF, Heart Volume in Field, NTCP, Normal Tissue Complications Probability, lcsh:R895-920, RPM, Real-time Position Management, Modified Radical Mastectomy, LV, Lung Volume, Breast cancer radiotherapy, Deep inspiratory breath-hold, lcsh:RC254-282, Left sided, 03 medical and health sciences, MRM, Modified Radical Mastectomy, DVH, Dose Volume Histograms, Radiology, Nuclear Medicine and imaging, Care Planning, DIBH, Deep Inspiratory Breath-hold, CT, Computer Tomography, Radiotherapy, Receiver operating characteristic, RNI, Regional Nodal Irradiation, business.industry, 3DCRT, Three-Dimensional Conformal Radiation Therapy, ABC™, Active Breathing Coordinator™, AUC, Area under the curve, medicine.disease, Radiation therapy, CD, Chest Depth, FB, Free Breathing, IMC, Internal Mammary Chain, BCS, Breast Conservation Surgery, BMI, Body Mass Index, business, Supraclavicular fossa, Dosimetric predictors
Abstract: Highlights • DIBH results in cardiac sparing in left sided breast cancer radiotherapy. • Heart volume in field and maximum heart distance are predictors of cardiac sparing. • Thresholds of these anatomical predictors can help to select patients for DIBH., Introduction The risk of radiotherapy-associated cardiovascular disease has been a concern for decades in breast cancer survivors. The objective of our study is to evaluate the dosimetric benefit of Deep Inspiratory Breath-hold technique (DIBH) on organs-at-risk (OAR) sparing in left-sided breast cancer radiotherapy and to find out pre-treatment predictors of cardiac doses for guiding patient selection for DIBH. Material and methods Pre-radiotherapy planning CT scans were done in Free Breathing (FB) and in DIBH [using Active Breathing Coordinator system (ABC™)] in 31 left sided breast cancer patients. 3DCRT plans were generated for both scans. Comparison of anatomical and dosimetric variables were done using paired t test and correlation was evaluated using Pearson correlation. Linear regression was used to get independent predictors of cardiac sparing and Receiver Operating Characteristic (ROC) curve analysis was done to find out the specific threshold of the predictors. Results There was a 39.15% reduction in mean heart dose in DIBH compared to FB (2.4 Gy vs 4.01 Gy) (p
Published: 2021

27. Endometrial Histopathological Evaluation in Antepartum Hemorrhage for Placental Etiology

Author: Chaitali Karmakar, Shermin Siria Begum, Sarbeswar Mandal, Masihon Murmu, Mahua Mondal, and Nurejjaman Lnu
Subjects: medicine.medical_specialty, Antepartum hemorrhage, business.industry, Obstetrics, Etiology, Obstetrics and Gynecology, Medicine, business
Published: 2021

28. Excitation of Whispering Gallery Modes of a Microresonator Integrated in an Optical Fiber Axicon

Author: Kaushal Vairagi, Pooja Gupta, Rashmi Achla Minz, Jasleen Kaur, and Samir K. Mondal
Subjects: Materials science, Optical fiber, Spectrometer, business.industry, Single-mode optical fiber, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, law.invention, Axicon, Resonator, Wavelength, Optics, law, Optical circulator, Electrical and Electronic Engineering, Whispering-gallery wave, business
Abstract: We report novel designs to excite Whispering Gallery Mode (WGM) of spherical microresonator in an integrated single mode optical fiber tip probe, namely, Deep Seated Negative Axicon (DSNA). The empty DSNA and partially filled polymer DSNA are explored to host the Barium Titanate/Silica microresonator as WGM resonators. An SLD source with a central wavelength of 840 nm and bandwidth of 50 nm is used to excite the microresonator. Reflected spectra are recorded in a spectrometer through an optical circulator for different resonators at various locations. Experimentally the quality factor Q as high as ~7×103 is achieved from the design. It is observed that spectral characteristics and Q value are affected by the resonator’s position, size and the material. The Finite Element Method (FEM) simulation results have also been included in support of the design.
Published: 2021

29. Probing Interface Trapping Characteristics of Au/β-Ga2O3 Schottky Barrier Diode on Si (100)

Author: Satinder K. Sharma, Manoj Kumar Yadav, Arnab Mondal, and Ankush Bag
Subjects: Materials science, business.industry, Schottky barrier, Schottky diode, Substrate (electronics), Electronic, Optical and Magnetic Materials, Pulsed laser deposition, Field emission microscopy, Thermal conductivity, Sapphire, Optoelectronics, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, business, Diode
Abstract: Gallium Oxide (Ga2O3) and Sapphire have been a preferred choice of substrates for fabricating β-Ga2O3 Schottky barrier diodes (SBDs). However, Si (100) substrate with low cost and relatively high thermal conductivity has been explored as a platform in this work for the growth of β-Ga2O3 using the pulsed laser deposition (PLD) technique. X-ray diffraction (XRD) and field emission scanning electron microscope (FESEM) results confirm the good crystalline quality and uniformity of the Ga2O3 film, respectively. The roughness (RMS) of 1.44 nm of the film surface is confirmed by the atomic force microscope (AFM) technique. The current-voltage (I-V) and capacitance-voltage (C-V) characteristics are employed for investigating the electrical and interface trap properties of the SBDs. The Schottky barrier height measured at room temperature from I-V and C-V characteristics are 0.78 eV and 1.17 eV, respectively and the ideality factor turns out to be 1.95. The charge transport mechanism of SBD has been investigated using the log-log plot of I-V characteristics. The Schottky metal (Au)/β-Ga2O3 interface trap density (Dit) which is obtained on the order of 10 cm-2 eV-1 using the conventional conductance method. In the energy range of Ec-0.27 eV to Ec-1.57 eV, the density of interface states changes from 3.72×10 eV-1cm-2 to 3.10×10 eV-1cm-2, respectively. The maximum value of Dit is found to be 4.38 ×10 eV-1cm-2 at Ec-0.68 eV. The value of Dit can be further reduced for potential and reliable integration of β-Ga2O3 with Si electronics.
Published: 2021

30. Different hybrid machine intelligence techniques for handling IoT‐based imbalanced data

Author: Koushik Mondal, Gaurav Mohindru, and Haider Banka
Subjects: Hybrid machine, Computer Networks and Communications, business.industry, Computer science, Machine learning, computer.software_genre, Imbalanced data, Human-Computer Interaction, QA76.75-76.765, Artificial Intelligence, Computational linguistics. Natural language processing, Computer Vision and Pattern Recognition, Artificial intelligence, Computer software, P98-98.5, Internet of Things, business, computer, Information Systems
Abstract: In the era of automatic task processing or designing complex algorithms, to analyse data, it is always pertinent to find real‐life solutions using cutting‐edge tools and techniques to generate insights into the data. The data‐driven machine learning models are now offering more or less worthy results when they are certainly balanced in the input data sets. Imbalanced data occurs when an unequal distribution of classes occurs in the input datasets. Building a predictive model on the imbalanced data set would cause a model that appears to yield high accuracy but does not generalize well to the new data in the minority class. Now the time has come to look into the datasets which are not so‐called ‘balanced’ in nature but such datasets are generally encountered frequently in a workspace. To prevent creating models with false levels of accuracy, the imbalanced data should be rearranged before creating a predictive model. Those data are, sometimes, voluminous, heterogeneous and complex in nature and generate from different autonomous sources with distributed and decentralized control. The driving force is to efficiently handle these data sets using latest tools and techniques for research and commercial insights. The present article provides different such tools and techniques, in different computing frameworks, to handle such Internet of Things and other related datasets to review common techniques for handling imbalanced data in data ecosystems and offers a comparative data modelling framework in Keras for balanced and imbalanced datasets.
Published: 2021

31. Significant reduction of radiation dose and DNA damage in 18F- FDG whole-body PET/CT study without compromising diagnostic image quality

Author: Subrata Kumar Dey, Aruna Kaushik, Amit Nautiyal, Manu Manii, Tanmoy Mondal, Deepanjan Mitra, and Alpana Goel
Subjects: business.industry, DNA damage, Image quality, medicine.medical_treatment, Radiation dose, chemistry.chemical_element, Iodine, Effective dose (radiation), chemistry, Iodinated contrast, medicine, Whole body pet, Nuclear medicine, business, Reduction (orthopedic surgery)
Abstract: Reduction of radiation dose from medical investigations still remains an important strategy. The combined effect of the reduced injected activity of 18F – FDG, low tube voltage & iodine concentrati...
Published: 2021

32. Gene signatures with therapeutic value: emerging perspective for personalized immunotherapy in renal cancer

Author: Mumtaz V. Rojiani, Nikhil Shri Sahajpal, Ravindra Kolhe, Pankaj Ahluwalia, and Ashis K. Mondal
Subjects: business.industry, medicine.medical_treatment, Immunology, Cancer, Immunotherapy, medicine.disease, Bioinformatics, Kidney Neoplasms, Review article, Transcriptome, Immune system, Oncology, Cancer immunotherapy, Biomarkers, Tumor, medicine, Humans, Immunology and Allergy, RNA-Seq, Precision Medicine, Single-Cell Analysis, business, Gene, Predictive biomarker
Abstract: Renal cancer is one of the deadliest urogenital diseases. In recent years, the advent of immunotherapy has led to significant improvement in the management of patients with renal cancer. Although cancer immunotherapy and its combinations had benefited numerous patients, several challenges need to be addressed. Apart from the high costs of treatment, the lack of predictive biomarkers and toxic side-effects have impeded its wider applicability. To address these issues, new biomarkers are required to predict responsiveness and design personalized treatment strategies. Recent advances in the field of single-cell sequencing and multi-dimensional spatial transcriptomics have identified clinically relevant subtypes of renal cancer. Furthermore, there is emerging potential for gene signatures based on immune cells, non-coding RNAs, and pathways such as metabolism and RNA modification. In this review article, we have discussed recent progress in the identification of gene signatures with predictive and prognostic potential in renal cancer.
Published: 2021

33. The ATLAS fast TracKer system

Author: Aad, Georges, Abbott, Braden Keim, Abreu, Henso, Arcangeletti, Chiara, Gutierrez Zagazeta, Luis Felipe, Gutschow, Christian, Guyot, Claude, Gwenlan, Claire, Gwilliam, Carl, Haaland, Even Simonsen, Haas, Andy, Haas, Andrew, Haber, Carl, Hadavand, Haleh, Arce, Ayana Tamu, Hadef, Asma, Haleem, Mahsana, Haley, Joseph, Hall, Jack Joseph, Halladjian, Garabed, Hallewell, Gregory, Hamano, Kenji, Hamdaoui, Hassane, Hamer, Matthias, Hamity, Guillermo Nicolas, Arguin, Jean-francois, Han, Kunlin, Han, Liangliang, Han, Liang, Han, Shuo, Han, Yi Fei, Hanagaki, Kazunori, Hance, Mike, Hank, Michael Donald, Hankache, Robert, Hansen, Eva Brottmann, Argyropoulos, Spyros, Hansen, Jorgen Beck, Hansen, Dines, Hansen, Maike Christina, Hansen, Peter, Hanson, Emily Claire, Hara, Kazuhiko, Harenberg, Torsten, Harkusha, Siarhei, Harrison, Paul Fraser, Hartman, Nicole Michelle, Arling, Jan-hendrik, Hartmann, Nikolai, Hasegawa, Yoji, Hasib, Ahmed, Hasley, Lloyd Alan, Hassani, Samira, Haug, Sigve, Hauser, Reiner, Havranek, Miroslav, Hawkes, Chris, Hawkings, Richard, Armbruster, Aaron James, Hayashida, Shota, Hayden, Daniel, Hayes, Christopher Robyn, Hayes, Robin, Hays, Chris, Hays, Jonathan, Hayward, Helen, Haywood, Stephen, He, Fudong, He, Yunjian, Armstrong, Alexander, Heath, Matthew Peter, Hedberg, Vincent, Heggelund, Andreas Lokken, Hehir, Natasha, Heidegger, Constantin, Heidegger, Kim Katrin, Heidorn, William Dale, Heilman, Jesse Alan, Heim, Sarah, Heim, Timon, Arnaez, Olivier, Heinemann, Beate, Heinlein, James Geddy, Heinrich, Jochen Jens, Heinrich, Lukas Alexander, Hejbal, Jiri, Helary, Louis, Held, Alexander, Hellesund, Simen, Helling, Cole Michael, Hellman, Sten, Arnold, Hannah, Helsens, Clement, Henderson, Robert, Henkelmann, Lars, Henriques Correia, Ana Maria, Herde, Hannah Elizabeth, Hernandez Jimenez, Yesenia, Herr, Holger Arnold, Herrmann, Maximilian Georg, Herrmann, Tim, Herten, Gregor, Arrubarrena Tame, Zulit Paola, Hertenberger, Ralf, Hervas, Luis, Hessey, Nigel, Hibi, Hiroaki, Higashino, Satoshi, Higon-rodriguez, Emilio, Hildebrand, Kevin, Hill, John, Hill, Kurt Keys, Hiller, Karl Heinz, Abulaiti, Yiming, Artoni, Giacomo, Hu, Yi Fan, Hiller, Karlheinz, Hillier, Stephen, Hils, Maximilian, Hinchliffe, Ian, Hinterkeuser, Florian, Hirose, Minoru, Hirose, Shigeki, Hirschbuehl, Dominic, Hiti, Bojan, Asada, Haruka, Hladik, Ondrej, Hobbs, John David, Hobincu, Radu, Tal Hod, Noam, Hodgkinson, Mark, Hoecker, Andreas, Hohn, David, Hohov, Dmytro, Holm, Tanja, Holmes, Tova, Asai, Kanae, Holzbock, Michael, Hommels, Bart, Hong, Tae Min, Honig, Jan Cedric, Honle, Andreas, Hooberman, Benjamin Henry, Hopkins, Walter, Horii, Yasuyuki, Horn, Philipp, Horyn, Lesya Anna, Asai, Shoji, Hou, Suen, Howarth, James William, Hoya, Joaquin, Hrabovsky, Miroslav, Hrynevich, Aliaksei, Hrynova, Tetiana, Hsu, Pai-hsien, Hsu, Shih-chieh, Hu, Qipeng, Hu, Shuyang, Asawatavonvanich, Thanawat, Iakovidis, Georgios, Hu, Yifan, Huang, Danping, Huang, Xiaozhong, Huang, Yicong, Huang, Yanping, Hubacek, Zdenek, Hubaut, Fabrice, Hubner, Michael, Huegging, Fabian, Asbah, Nedaa Alexandra, Huffman, Todd Brian, Huhtinen, Mika, Hulsken, Raphael, Hunter, Robert Francis, Husejko, Michal, Huseynov, Nazim, Huston, Joey, Huth, John, Hyneman, Rachel Jordan, Hyrych, Sofiia, Asimakopoulou, Eleni Myrto, Iacobucci, Giuseppe, Iakovidis, George, Ibragimov, Iskander, Iconomidou-fayard, Lydia, Iengo, Paolo, Ignazzi, Rosanna, Iguchi, Ryunosuke, Iizawa, Tomoya, Ikegami, Yoichi, Ilic, Nikolina, Asquith, Lily, Imam, Hajar, Introzzi, Gianluca, Iodice, Mauro, Iordanidou, Kalliopi, Ippolito, Valerio, Isacson, Max Fredrik, Ishino, Masaya, Islam, Wasikul, Issever, Cigdem, Istin, Serhat, Assahsah, Jihad, Ito, Hiroki, Iturbe, Julia, Iuppa, Roberto, Ivina, Anna, Izen, Joseph Michael, Izzo, Vincenzo, Jacka, Petr, Jackson, Paul, Jacobs, Ruth Magdalena, Jaeger, Benjamin Paul, Assamagan, Ketevi Adikle, Jakel, Gunnar, Jakobi, Katharina Bianca, Jakobs, Karl, Jakoubek, Tomas, Jamieson, Jonathan, Janas, Krzysztof, Jansky, Roland, Janus, Piotr Andrzej, Jarlskog, Goran, Jaspan, Adam Elliott, Acharya, Bobby Samir, Astalos, Robert, Javadov, Namig, Javurek, Tomas, Javurkova, Martina, Jeanneau, Fabien, Jeanty, Laura, Jejelava, Juansher, Jenni, Peter, Jezequel, Stephane, Jia, Jiangyong, Jia, Zihang, Atkin, Ryan Justin, Jiang, Yi, Jiggins, Stephen, Jimenez Morales, Fabricio Andres, Jimenez Pena, Javier, Jin, Shan, Jinaru, Adam, Jinnouchi, Osamu, Jivan, Harshna, Johansson, Per Daniel Conny, Johns, Kenneth, Atkinson, Markus Julian, Johnson, Christian, Jones, Eleanor, Jones, Roger, Jones, Samuel David, Jones, Tim, Joos, Markus, Jovicevic, Jelena, Ju, Xiangyang, Junggeburth, Johannes Josef, Juste Rozas, Aurelio, Atlay, Naim Bora, Kaczmarska, Anna, Kado, Marumi, Kagan, Harris, Kagan, Michael Aaron, Kahn, Alan Mathew, Kahra, Christian, Kaji, Toshiaki, Kajomovitz Must, Enrique, Kalderon, Charles William, Kartvelishvili, Vakhtang, Atmani, Hicham, Kalderon, Will, Kaluza, Adam, Kamenshchikov, Andrey, Kaneda, Michiru, Kang, Nathan Jihoon, Kang, Shuaiyan, Kano, Yuya, Kanzaki, Junichi, Kar, Deepak, Karava, Kla, Atmasiddha, Prachi, Kareem, Mohammad, Karkanias, Ioannis, Karpov, Sergey, Karpova, Zoya, Kaya, Fikriye Idil, Kartvelishvili, Vato, Karyukhin, Andrei, Kasimi, Eirini, Kastanas, Alex, Kasten, Michael Scott, Augsten, Kamil, Kato, Chikuma, Katzy, Judith, Kawade, Kentaro, Kawagoe, Kiyotomo, Kawaguchi, Tomomi, Kawaguchi, Yoshimasa, Kawamoto, Tatsuo, Kawamura, Gen, Kay, Ellis, Kaya, Colette, Austrup, Volker Andreas, Kazakos, Stergios, Kazanin, Vassili, Keaveney, James Michael, Keeler, Richard, Keller, John Stakely, Kelsey, Daniel Christopher, Kempster, Jacob Julian, Kendrick, James Andrew, Kennedy, Kiley Elizabeth, Kepka, Oldrich, Avolio, Giuseppe, Kersten, Susanne, Kersevan, Borut Paul, Ketabchi, Sana, Khalil-zada, Farhad, Khandoga, Mykola, Khanov, Alexander, Kharlamov, Alexey, Kharlamova, Tatyana, Khoda, Elham E, Khoo, Teng Jian, Ayoub, Mohamad Kassem, Khoriauli, Gia, Khramov, Evgeny, Khubua, Djemal, Kido, Shogo, Kiehn, Moritz, Kilgallon, Aaron Joseph, Kim, Eunchong, Kim, Young-kee, Kimura, Naoki, Kirchhoff, Andreas, Achkar, Baida, Azuelos, Georges, Kirchmeier, David, Kirk, Julie, Kiryunin, Andrei, Kishimoto, Tomoe, Kisliuk, Dylan Perry, Kitali, Vincent, Kitsaki, Chara, Kivernyk, Oleh, Klapdor-kleingrothaus, Thorwald, Klassen, Martin, Babal, Dominik, Klein, Christoph Thomas, Klein, Lucas, Klein, Matthew Henry, Klein, Max, Klein, Uta, Klimek, Pawel Jan, Klimentov, Alexei, Klimpel, Fabian, Klingl, Tobias, Klioutchnikova, Tatiana, Bachacou, Henri, Klitzner, Felix Fidelio, Kluit, Peter, Kluth, Stefan, Kneringer, Emmerich, Knoops, Edith, Knue, Andrea Helen, Kobayashi, Dai, Kobel, Michael, Kocian, Martin, Kodama, Takafumi, Bachas, Dinos, Kodys, Peter, Kock, Daniela, Konig, Philipp, Koffas, Thomas, Koehler, Nicolas, Kolb, Mathis, Koletsou, Iro, Komarek, Tomas, Koeneke, Karsten, Kong, Albert, Backman, Karl Filip, Kono, Takanori, Konstantinides, Vasilis, Konstantinidis, Nikolaos, Konya, Balazs, Kopeliansky, Revital, Koperny, Stefan Zenon, Korcyl, Krzysztof Marian, Kordas, Konstantinos, Kowalewski, Robert Victor, Kordas, Kostas, Bagnaia, Paolo, Koren, Guy, Korn, Andreas, Korolkov, Ilya, Korolkova, Elena, Korotkova, Natalia, Kortner, Oliver, Kortner, Sandra, Kostyukhin, Vadim, Kotsokechagia, Anastasia, Kotwal, Ashutosh, Bahrasemani, Sina, Koulouris, Aimilianos, Kourkoumeli-charalampidi, Athina, Kourkoumelis, Christine, Kourlitis, Evangelos, Kowalewski, Bob, Kozanecki, Witold, Kozhin, Anatoli, Kramarenko, Viktor, Kramberger, Gregor, Krasnopevtsev, Dimitrii, Bailey, Adam, Krasny, Mieczyslaw, Krasznahorkay, Attila, Kremer, Jakub, Kretzschmar, Jan, Kreul, Ken Matthias, Krieger, Peter, Krieter, Ferdinand, Krishnamurthy, Samyukta, Krishnan, Anjali, Krivos, Martin, Bailey, Virginia, Krizka, Karol, Kroeninger, Kevin Alexander, Kroha, Hubert, Kroll, Jiri, Kroll, Joe, Kulchitsky, Yuri, Kuleshov, Sergey, Kroll, Joseph Ira, Krowpman, Kyle Stuart, Kruchonak, Uladzimir, Baines, John, Krueger, Hans, Krumnack, Nils Erik, Kruse, Mark, Krzysiak, Janina Anna, Kubota, Arisa, Kuchinskaia, Olesia, Kuday, Sinan, Kuchler, Daniela, Kuechler, Jan, Kuehn, Susanne, Adam, Lennart, Bakalis, Christos, Kuhl, Thorsten, Kukhtin, Victor, Koultchitski, Yuri, Kuleshov, Serguei, Kulinich, Yakov Petrovich, Kumar, Mukesh, Kuna, Marine, Kupco, Alexander, Kupfer, Tobias, Kuprash, Oleg, Baker, Keith, Kurashige, Hisaya, Kurchaninov, Leonid, Kurochkin, Yurii, Kurova, Anastasia, Kurth, Matthew Glenn, Kuwertz, Emma Sian, Kuze, Masahiro, Kvam, Audrey Katherine, Kvita, Jiri, Kwan, Tony, Bakker, Pepijn Johannes, Lacasta Llacer, Carlos, Lacava, Francesco, Lack, David Philip John, Lacker, Heiko Markus, Lacour, Didier, Ladygin, Evgueni, Lafaye, Remi, Laforge, Bertrand, Lagouri, Theodota, Lai, Stanley, Bakos, Evelin, Lai, Stan, Lakomiec, Inga Katarzyna, Lambert, Joseph Earl, Lammers, Sabine Wedam, Lampl, Walter, Lampoudis, Christos, Lancon, Eric Christian, Landgraf, Ulrich, Landon, Murrough, Lang, Valerie, Bakshi Gupta, Debottam, Lange, Joern, Langenberg, Robert Johannes, Lankford, Andrew James, Lanni, Francesco, Lantzsch, Kerstin, Lanza, Agostino, Lapertosa, Alessandro, Laporte, Jean-francois, Lari, Tommaso, Lasagni Manghi, Federico, Balaji, Shyam, Lassnig, Mario, Latonova, Vera, Lau, Tak Shun, Laudrain, Antoine, Laurier, Alexandre, Lavorgna, Marco, Lawlor, Sean Dean, Lazzaroni, Massimo, Le, Brian, Le Guirriec, Emmanuel, Balasubramanian, Rahul, Lebedev, Alexandre, Leblanc, Matthew Edgar, LeCompte, Thomas, Leblanc, Matt, Le Compte, Tom, Ledroit, Fabienne, Lee, Ava Chloe Audrey, Lee, Claire, Lee, Graham Richard, Lee Jr, Lawrence, Baldin, Evgenii, Lee, Shih-chang, Lee, Songkyo, Lefebvre, Benoit, Lefebvre, Helena, Lefebvre, Michel, Leggett, Charles, Lehmann, Konstantin, Lehmann, Niklaus, Lehmann Miotto, Giovanna, Leight, William Axel, Balek, Petr, Leisos, Antonios, Lisboa Leite, Marco, Leitgeb, Clara Elisabeth, Leitner, Rupert, Leney, Katharine, Lenz, Tatjana, Leone, Sandra, Leonidopoulos, Christos, Leopold, Alexander, Leroy, Claude, Balli, Fabrice, Les, Robert, Lester, Christopher, Levchenko, Mikhail, Leveque, Jessica, Levin, Daniel, Levin, Dan, Levinson, Lorne, Lewis, Daniel James, Li, Boyang, Li, Bing, Adam Bourdarios, Claire, Balunas, William Keaton, Li, Changqiao, Li, Fan, Li, Heng, Li, Haifeng, Li, Jing, Li, Ke, Li, Liang, Li, Mengran, Li, Quanyin, Li, Shu, Balz, Johannes, Li, Xingguo, Li, Yichen, Li, Zhi, Li, Zhiying, Li, Zhelun, Li, Zhiyuan, Liang, Zhijun, Liberali, Valentino, Liberatore, Marianna, Liberti, Barbara, Banas, Elzbieta, Lie, Ki, Lim, Sanghoon, Lin, Chiao-ying, Lin, Kuan-yu, Linck, Rebecca, Lindley, Rachel Elizabeth, Lindon, Jack, Linss, Arthur, Lionti, Anthony, Lipeles, Elliot, Bandieramonte, Marilena, Lipniacka, Anna, Lisovyi, Mykhailo, Liss, Tony, Liss, Anthony Michael, Lister, Alison, Little, Jared, Liu, Bo, Liu, Bingxuan, Liu, Jianbei, Liu, Jesse, Bandyopadhyay, Anjishnu, Liu, Kun, Liu, Minghui, Liu, Mingyi, 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Giuseppe, Schaffer, Arthur, Schegelsky, Valery, Benoit, Mathieu, Salnikov, Andy, Salt, Jose, Salvador Salas, Adrian, Salvatore, Daniela, Salvatore, Fabrizio, Salzburger, Andreas, Sammel, Dirk, Sampsonidis, Dimos, Sampsonidou, Despoina, Sanchez Martinez, Francisco Javier, Bensinger, Jim, Sanchez Pineda, Arturos, Sandaker, Heidi, Sander, Christian, Sanderswood, Izaac, Sandhoff, Marisa, Sandoval Usme, Carlos, Sankey, David, Sannino, Mario, Sano, Yuta, Sansoni, Andrea, Bentvelsen, Stan, Santoni, Claudio, Santos, Helena, Santpur, Sai Neha, Santra, Arka, Saoucha, Kamal, Sapronov, Andrey, Mendes Saraiva, Joao Gentil, Sasaki, Osamu, Sato, Koji, Sauerburger, Frank, Beresford, Lydia Audrey, Sauvan, Emmanuel, Savard, Pierre, Sawada, Ryu, Sawyer, Craig Anthony, Sawyer, Lee, Sayago Galvan, Ivan, Sbarra, Carla, Sbrizzi, Antonio, Scanlon, Timothy Paul, Schaarschmidt, Jana, Afik, Yoav, Beretta, Matteo Mario, Schacht, Peter, Schaefer, Douglas Michael, Schaefer, Leigh Catherine, Schaefer, Uli, Schaffer, R. D., Schaile, Dorothee, Schamberger Jr, Robert Dean, Schanet, Eric, Scharf, Christian, Scharmberg, Nicolas, Berge, David, Chtcheguelski, Valery, Scheirich, Daniel, Schenck, Ferdinand, Schernau, Michael, Schiavi, Carlo, Schildgen, Lara Katharina, Schillaci, Zachary Michael, Schioppa, Enrico Junior, Schioppa, Marco, Schleicher, Katharina, Bergeaas Kuutmann, Elin, Schlenker, Stefan, Schmidt-sommerfeld, Korbinian Ralf, Schmieden, Kristof, Schmitt, Christian, Schmitt, Stefan, Schoeffel, Laurent Olivier, Schoening, Andre, Scholer, Patrick, Schopf, Elisabeth, Schott, Matthias, Berger, Nicolas, Schouwenberg, Jeroen, Schovancova, Jaroslava, Schramm, Steven, Schroeder, Frederic, Schulte, Alexandra, Schultz-coulon, Hans-christian, Schumacher, Markus, Schumm, Bruce Andrew, Schune, Philippe, Schwartzman, Ariel Gustavo, Bergmann, Benedikt Ludwig, Schwarz, Thomas Andrew, Schwemling, Philippe, Schwienhorst, Reinhard, Sciandra, Andrea, Sciolla, Gabriella, Scuri, Fabrizio, Scutti, Federico, Scyboz, Ludovic Michel, Sebastiani, Cristiano, Sedlaczek, Kevin, Bergsten, Laura Jean, Seema, Pienpen, Seidel, Sally, Seiden, Abraham, Seidlitz, Blair Daniel, Seiss, Todd Michael, Seitz, Claudia, Seixas, Jose, Sekhniaidze, Givi, Sekula, Stephen Jacob, Semprini Cesari, Nicola, Beringer, Juerg, Sen, Sourav, Serfon, Cedric, Serin, Laurent, Serkin, Leonid, Sessa, Marco, Severini, Horst, Sevova, Stanislava, Sforza, Federico, Sfyrla, Anna, Shabalina, Elizaveta, Berlendis, Simon, Shahinian, Jeffrey David, Shaikh, Nabila Wahab, Shatalov, Pavel, Shojaii, Jafar, Sijacki, Djordje, Soukharev, Andrey, Shahinian, Jeff, Ahlgren, Nabila Wahab, Shaked Renous, Dan, Shan, Lianyou, Bernardi, Gregorio, Shang, Ruo-yu, Shapiro, Marjorie, Sharma, Abhishek, Shatalov, Sppavel, Shaw, Kate, Shaw, Savanna, Shehade, Mahran, Shen, Yu-ting, Sherwood, Peter, Bernius, Catrin, Shi, Liaoshan, Shimmin, Chase Owen, Shimogama, Yoshihiro, Shimojima, Makoto, Shinner, James David, Shipsey, Ian, Shirabe, Shohei, Shiyakova, Mariya, Shlomi, Jonathan, Shmeleva, Alevtina, Agapopoulou, Christina, Bernlochner, Florian Urs, Shochet, Mel, Shojaii, Seyed Ruhollah, Shope, David Richard, Shrestha, Suyog, Shrif, Esra Mohammed, Shroff, Maheyer Jamshed, Shulga, Evgeny, Sicho, Petr, Sickles, Anne Marie, Sideras Haddad, Elias, Berry, Tracey, Sidiropoulou, Ourania, Sidoti, Antonio, Siegert, Frank, Solodkov, Alexander, Sijacki, Dorde, Silva Oliveira, Marcos Vinicius, Silverstein, Samuel, Simion, Stefan, Simoniello, Rosa, Simpson-allsop, Cameron James, Berta, Peter, Simsek, Sinem, Sinervo, Pekka, Sinetckii, Viktor, Singh, Sundeep, Sinha, Sukanya, Sioli, Maximiliano, Siral, Ismet, Sivoklokov, Serguei, Sjoelin, Joergen, Skaf, Ali, Berthold, Anne-sophie, Skorda, Eleni, Skubic, Patrick, Slawinska, Magdalena, Sliwa, Krzysztof Jan, Smakhtin, Vladimir, Smart, Ben Harry, Smiesko, Juraj, Smirnov, Nikita, Smirnov, Serge, Smirnov, Yury, Bertram, Iain, Smirnova, Lidia, Smirnova, Oxana, Smith, Emily Ann, Smith, Hayden Alexander, Smizanska, Maria, Smolek, Karel, Smykiewicz, Andrzej, Snesarev, Andrei, Snoek, Hella, Snyder, Ian Michael, Bessidskaia Bylund, Olga, Snyder, Scott, Sobie, Randall, Soffer, Abner, Soloshenko, Alexei, Sopio, Alexander Linus, Sobie, Randy, Soffer, Abi, Sogaard, Andreas, Sohns, Fabian, Solans Sanchez, Carlos, Bethke, Siegfried, Soldatov, Evgeny, Soldevila Serrano, Urmila, Solodkov, Sanya, Soloshenko, Aleksey, Solovyanov, Oleg, Solovyev, Victor, Sommer, Philip, Son, Hyungsuk, Sonay, Anil, Song, Wen Yi, Betti, Alessandra, Sopczak, Andre, Sopio, Alex, Sopkova, Filomena, Sotiropoulou, Calliope-louisa, Sottocornola, Simone, Soualah, Rachik, Sukharev, Andrei, South, David, Stavropoulos, Georgios, Spagnolo, Stefania, Bevan, Adrian, Spalla, Margherita, Spangenberg, Martin, Spano, Francesco, Sperlich, Dennis, Spieker, Thomas Malte, Spigo, Giancarlo, Spina, Mario, Spiteri, Dwayne Patrick, Spousta, Martin, Strauss, Michael, Bhatta, Somadutta, Stabile, Alberto, Stamas, Brianna, Stamen, Rainer, Stamenkovic, Marko, Stampekis, Alexios, Stanecka, Ewa, Stanislaus, Beojan, Stanitzki, Marcel, Stankaityte, Migle, Stapf, Birgit Sylvia, Agaras, Merve Nazlim, Bhattacharya, Deb Sankar, Starchenko, Jenya, Stark, Giordon Holtsberg, Stark, Jan, Staroba, Pavel, Starovoitov, Pavel, Staerz, Steffen, Staszewski, Rafal, Stavropoulos, George, Steinberg, Peter Alan, Steinhebel, Amanda, Bhattarai, Prajita, Stelzer, Bernd, Stelzer, Joerg, Stelzer-chilton, Oliver, Stenzel, Hasko, Stevenson, Thomas James, Stewart, Graeme A, Stockton, Mark, Stoicea, Gabriel, Stolarski, Marcin, Stonjek, Stefan, Bhopatkar, Vallary Shashikant, Straessner, Arno, Strandberg, Jonas, Strandberg, Sara, Strauss, Mike, Strebler, Thomas, Strizenec, Pavol, Strohmer, Raimund, Strom, David, Stroynowski, Ryszard, Strubig, Antonia, Bi, Runyu, Stucci, Stefania Antonia, Stugu, Bjarne, Stupak, John, Styles, Nicholas, Su, Dong, Su, Wanyun, Su, Xiaowen, Suarez, Nicholas Bruno, Sulin, Vladimir, Sullivan, Matthew James, Bianchi, Riccardo Maria, Sultan, D. 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Stuart, Creager, Rachael Ann, Crepe-renaudin, Sabine, Aliev, Malik, Crescioli, Francesco, Cristinziani, Markus, Cristoforetti, Marco, Croft, Vincent Alexander, Crone, Gordon, Crosetti, Giovanni, Cunningham, William Reilly, Crosetti, Nanni, Cueto Gomez, Ana Rosario, Cuhadar Donszelmann, Tulay, Alimonti, Gianluca, Cui, Han, Cukierman, Aviv Ruben, Dandoy, Jeffrey Rogers, Darbo, Giovanni, Cunningham, Liam, Czekierda, Sabina Anna, Czodrowski, Patrick Karl, Czurylo, Marta, Sousa, Mario Jose, Da Fonseca Pinto, Joao Victor, Alison, John, Da Via, Cinzia, Dabrowski, Wladyslaw, Dachs, Florian, Dado, Tomas, Dahbi, Salah-eddine, Dai, Tiesheng, Dallapiccola, Carlo, Dam, Mogens, D'amen, Gabriele, D'amico, Valerio, Allaire, Corentin, Damp, Johannes Frederic, Dandoy, Jeff, Daneri, Maria Florencia, Danninger, Matthias, Dao, Valerio, Darbo, Nanni, Dartsi, Olympia, Dattagupta, Aparajita, D'auria, Saverio, David, Claire, Allbrooke, Benedict, Davidek, Tomas, Davis, Douglas Raymond, Dawson, Ian, De, Kaushik, De Asmundis, Riccardo, De Beurs, Marcus, De Castro, Stefano, De Groot, Nicolo, Vicente, Marcelo, De Jong, Paul, Allport, Philip Patrick, De La Torre Perez, Hector, De Maria, Antonio, De Pedis, Daniele, De Salvo, Alessandro, De Sanctis, Umberto, De Santis, Maurizio, De Santo, Antonella, De Vivie De Regie, Jean-baptiste, Dedovich, Dmitri, Deiana, Allison Mccarn, Abidi, Haider, Aloisio, Alberto, Del Peso, Jose, Delabat Diaz, Yasiel, Delgove, David, Deliot, Frederic, Delitzsch, Chris Malena, Della Pietra, Massimo, Della Volpe, Domenico, Dell'acqua, Andrea, Dell'asta, Lidia, Delmastro, Marco, Alonso, Francisco, Delporte, Charles Eliaz, Delsart, Pierre Antoine, Demers Konezny, Sarah Marie, Demichev, Mikhail, Demontigny, Gabriel, Denisov, Sergey, Denisov, Serguei, D'eramo, Louis, Derendarz, Dominik Karol, Derkaoui, Jamal, Alpigiani, Cristiano, Derue, Frederic, Dervan, Paul, Desch, Klaus, Dette, Karola, Deutsch, Christopher, Deviveiros, Pier-olivier, Di Bello, Francesco Armando, Di Ciaccio, Anna, Di Ciaccio, Lucia, Di Donato, Camilla, Alunno Camelia, Elio, Di Girolamo, Alessandro, Di Gregorio, Giulia, Di Luca, Andrea, Di Micco, Biagio, Di Nardo, Roberto, Di Sipio, Riccardo, Diaconu, Cristinel, De Almeida Dias, Flavia, Vale, Tiago, Diaz Gutierrez, Marco Aurelio, Alvarez Estevez, Manuel, Diaz Capriles, Federico Guillermo, Dickinson, Jennet Elizabeth, Didenko, Mariia, Diehl, Edward, Dietrich, Janet, Diez Cornell, Sergio, Diez Pardos, Carmen, Dimitrievska, Aleksandra, Ding, Wei, Dingfelder, Jochen Christian, Alviggi, Mariagrazia, Dittmeier, Sebastian, Dittus, Fido, Djama, Fares, Djobava, Tamar, Djuvsland, Julia Isabell, Barros do Vale, Maria Aline, Dobre, Monica, Dodsworth, David Michael, Doglioni, Caterina, Dolejsi, Jiri, Do Amaral Coutinho, Yara, Dolezal, Zdenek, Donadelli, Marisilvia, Dong, Binbin, Donini, Julien Noce, D'onofrio, Adelina, D'onofrio, Monica, Dopke, Jens, Doria, Alessandra, Dova, Maria Teresa, Doyle, Tony, Ambler, Alessandro, Drake, Gary, Drechsler, Eric, Dreyer, Etienne, Dreyer, Timo, Drobac, Alec Swenson, Du, Dongshuo, Du Pree, Tristan Arnoldus, Duan, Yanyun, Dubinin, Filipp, Dubovsky, Michal, Ambroz, Luca, Dubreuil, Arnaud, Duchovni, Ehud, Duckeck, Guenter, Ducu, Otilia Anamaria, Duda, Dominik, Dudarev, Alexey, Dudder, Andreas Christian, D'uffizi, Matteo, Duflot, Laurent, Duehrssen-debling, Michael, Amelung, Christoph, Dulsen, Carsten, Dumancic, Mirta, Dumitriu, Ana Elena, Dunford, Monica, Dungs, Sascha, Duperrin, Arnaud, Yildiz, Duran, Dueren, Michael Johannes, Durglishvili, Archil, Dutta, Baishali, Abouzeid, Hass, Amidei, Dante, Duvnjak, Damir, Dyckes, George, Ellis, Nicolas, Dyckes, Ian, Dyndal, Mateusz, Dysch, Samuel Dezso, Dziedzic, Bartosz Sebastian, Eggleston, Michael Glenn, Eifert, Till, Eigen, Gerald, Amor Dos Santos, Susana Patricia, Einsweiler, Kevin Frank, Ekelof, Tord Johan Carl, El Jarrari, Hassnae, Ellajosyula, Venugopal, Ellert, Mattias, Ellinghaus, Frank, Elliot, Alison, Ellis, Nick, Emerman, Alexander, Elmsheuser, Johannes, Amoroso, Simone, Elsing, Markus, Emeliyanov, Dmitry, Ezhilov, Alexey, Emerman, Alex, Enari, Yuji, Erdmann, Johannes, Ereditato, Antonio, Erland, Paula Agnieszka, Errenst, Martin, Escalier, Marc, Amrouche, Cherifa Sabrina, Escobar Ibanez, Carlos, Estrada Pastor, Oscar, Etzion, Erez, Gaspar De Andrade Evans, Guiomar, Evans, Hal, Evans, Meirin Oan, Ezhilov, Aleksei, Fabbri, Federica, Fabbri, Laura, Fabiani, Veronica, Anastopoulos, Christos, Facini, Gabriel, Fakhrutdinov, Rinat, Falciano, Speranza, Falke, Peter Johannes, Falke, Saskia, Faltova, Jana, Fang, Yi, Fang, Yaquan, Fanourakis, Georgios, Fanti, Marcello, Andari, Nansi, Faraj, Mohammed, Farbin, Amir, Farilla, Addolorata, Farilla, Ada, Farina, Edoardo Maria, Farooque, Trisha, Farrington, Sinead, Farthouat, Philippe, Fassi, Farida, Fassnacht, Patrick, Andeen, Timothy Robert, Fassouliotis, Dimitris, Faucci Giannelli, Michele, Fawcett, William James, Fayard, Louis, Fedin, Oleg, Fehr, Armin, Feickert, Matthew Carl, Feligioni, Lorenzo, Fell, Alix, Fell, Alexandra, Anders, John Kenneth, Feng, Cunfeng, Feng, Minyu, Fenton, Michael James, Fenyuk, Alexandre, Ferguson, Sarah Whitney, Ferrando, James Edward, Ferrari, Arnaud, Ferrari, Pamela, Ferrari, Roberto, Ferrer Soria, Antonio, Anderson, John Thomas, Ferrere, Didier, Ferretti, Claudio, Fiedler, Frank, Filipcic, Andrej, Filthaut, Frank, Finelli, Kevin Daniel, Castro Nunes Fiolhais, Miguel, Fiorini, Luca, Fischer, Florian, Fischer, Julian, Andrean, Stefio Yosse, Fisher, Wade Cameron, Fitschen, Tobias, Fleck, Ivor, Fleischmann, Philipp, Flick, Tobias, Flierl, Bernhard Matthias, Flores, Lucas Macrorie, Flores Castillo, Luis Roberto, Follega, Francesco Maria, Fomin, Nikolai, Abraham, Nicola Louise, Andreazza, Attilio, Foo, Joel Hengwei, Forcolin, Giulio Tiziano, Forland, Blake Christopher, Formica, Andrea, Forster, Fabian Alexander, Forti, Alessandra, Fortin, Etienne Marie, Foti, Maria Giovanna, Fournier, Daniel, Fox, Harald, Andrei, Victor, Francavilla, Paolo, Francescato, Simone, Franchini, Matteo, Franchino, Silvia, Francis, David, Franco, Luca, Franconi, Laura, Franklin, Melissa, Frattari, Guglielmo, Freeman, Patrick Moriishi, Anelli, Christopher Ryan, Freund, Benjamin, Spolidoro Freund, Werner, Freundlich, Elena Murielle, Frizzell, Dylan Cooper, Froidevaux, Daniel, Frost, James, Fujimoto, Minori, Fullana Torregrosa, Esteban, Fusayasu, Takahiro, Fuster Verdu, Juan, Angelidakis, Stylianos, Gabrielli, Alessandro, Gabrielli, Andrea, Gadow, Paul Philipp, Gagliardi, Guido, Gagnon, Louis-guillaume, Gallardo, Gabriel, Gallas, Elizabeth, Gallop, Bruce Joseph, Gamboa Goni, Rodrigo, Gan, KK, Angerami, Aaron, Garcia Pascual, Juan Antonio, Gan, Kock Kiam, Ganguly, Sanmay, Gao, Jun, Gao, Yanyan, Gao, Yongsheng, Garay Walls, Francisca, Garcia, Carmen, Garcia Navarro, Jose Enrique, Garcia, Juanan, Anisenkov, Alexey, Garcia-sciveres, Maurice, Gardner Jr, Robert William, Garelli, Nicoletta, Gargiulo, Simona, Garner, Christopher Andrew, Garonne, Vincent, Gasiorowski, Sean Joseph, Do Nascimento Gaspar, Philipp, Gatta, Maurizio, Gaudio, Gabriella, Annovi, Alberto, Gauzzi, Paolo, Gavrilenko, Igor, Gavrilyuk, Alexander, Gavriliuk, Aleksandr, Gay, Colin Warren, Gaycken, Goetz, Gazis, Evangelos, Geanta, Andrei Alexandru, Gee, Carolyn, Gee, Norman, Antel, Claire, Geisen, Jannik, Geisen, Marc, Gemme, Claudia, Genest, Marie-helene, Geng, Cong, Gentile, Simonetta, Gentsos, Christos, George, Simon, Geralis, Theodoros, Gerlach, Lino Oscar, Anthony, Matthew Thomas, Gessinger-befurt, Paul, Gessner, Gregor, Ghasemi Bostanabad, Meisam, Ghneimat, Mazuza, Ghosh, Aishik, Ghosh, Anindya, Giacobbe, Benedetto, Giagu, Stefano, Giangiacomi, Nico, Giannetti, Paola, Antipov, Egor, Giannini, Antonio, Giannini, Giulia, Gibson, Stephen, Gignac, Matthew, Gil, Damian Tomasz, Gilbert, Benjamin Jacob, Gillberg, Dag, Gilles, Geoffrey, Gillwald, Nils, Gingrich, Douglas, Abramowicz, Halina, Antonelli, Mario, Giordani, MarioPaolo, Gingrich, Doug, Giordani, Mapo, Giraud, Pierre-francois, Giugliarelli, Gilberto, Giugni, Danilo, Giuli, Francesco, Gkaitatzis, Stamatios, Gkialas, Ioannis, Gkougkousis, Evangelos, Antrim, Daniel Joseph, Gkougkousis, Vagelis, Gkountoumis, Panagiotis, Gladilin, Leonid, Glasman, Claudia, Glaysher, Paul, Gledhill, Galen Rhodes, Gnesi, Ivan, Goblirsch-kolb, Maximilian Emanuel, Godin, Dominique, Goldfarb, Steven, Anulli, Fabio, Golling, Tobias, Golubkov, Dmitry, Da Silva Gomes, Agostinho, Goncalves Gama, Rafael, Morais Silva Goncalo, Ricardo Jose, Gonella, Giulia, Gonella, Laura, Gongadze, Alexi, Gonnella, Francesco, Gonski, Julia Lynne, Aoki, Masato, Gonzalez De La Hoz, Santiago, Gonzalez Fernandez, Sergio, Gonzalez Lopez, Ricardo, Gonzalez Renteria, Cesar, Gonzalez Suarez, Rebeca, Gonzalez Sevilla, Sergio, Gonzalvo Rodriguez, Galo Rafael, Goossens, Luc, Gorasia, Nandish Arjan, Gorbounov, Petr, Aparisi Pozo, Javier Alberto, Gordon, Howard, Gorini, Benedetto, Gorini, Edoardo, Gorisek, Andrej, Goshaw, Alfred, Grillo, Alexander, Goshaw, Al, Gostkin, Mikhail, Gottardo, Carlo Alberto, Gouighri, Mohamed, Aparo, Marco, Goussiou, Anna, Govender, Nicolin, Goy, Corinne, Grabowska-bold, Iwona, Gramstad, Eirik, Grancagnolo, Sergio, Grandi, Mario, Grachev, Vadim, Gravila, Paul, Gravili, Francesco Giuseppe, Aperio Bella, Ludovica, Gray, Chloe, Gray, Heather, Green, Barry, Grefe, Christian, Gregor, Ingrid, Grenier, Philippe, Grevtsov, Kirill, Grieco, Chiara, Grieser, Nathan Allen, Grillo, Alex, Aranzabal Barrio, Nordin, Grimm, Kathryn, Grinstein, Sebastian, Grivaz, Jean-francois, Groh, Sabrina, Gross, Eilam, Grosse-knetter, Joern, Grout, Zara Jane, Grud, Christopher Ryan, Grummer, Aidan, Grundy, James Cameron, Araujo Ferraz, Victor, Guan, Liang, Guan, Wen, Gubbels, Chris, Guenther, Jaroslav, Gubbels, Christopher, Guerrero Rojas, Jesus, Guescini, Francesco, Guest, Dan, Guest, Daniel, Gugel, Ralf, Pereira, Rodrigo, Guida, Alessandro, Guillemin, Thibault, Guindon, Stefan, Guo, Jun, Guo, Ziyu, Gupta, Ruchi, Gurbuz, Saime, Gustavino, Giuliano, Guth, Manuel, Gutierrez, Phillip, Aad, G, Bachas, K, Chiodini, G, Gorini, E, Gravili, F, Longo, L, Primavera, M, Reale, M, Schioppa, E, Spagnolo, S, Ventura, A, ATLAS Collaboration, And, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Centre de Calcul de l'IN2P3 (CC-IN2P3), Institut National de Physique 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[0000-0001-6506-3123], Turgeman, D. [0000-0002-3353-133X], Turra, R. [0000-0001-8740-796X], Tuts, P.M. [0000-0001-6131-5725], Tzovara, E. [0000-0002-0410-0055], Uehara, Y. [0000-0002-1657-571X], Ukegawa, F. [0000-0002-9813-7931], Unal, G. [0000-0001-8130-7423], Unal, M. [0000-0002-1646-0621], Undrus, A. [0000-0002-1384-286X], Unel, G. [0000-0002-3274-6531], Ungaro, F.C. [0000-0003-2005-595X], Uno, K. [0000-0002-2209-8198], Urban, J. [0000-0002-7633-8441], Urquijo, P. [0000-0002-0887-7953], Usai, G. [0000-0001-5032-7907], Uysal, Z. [0000-0002-7110-8065], Vacek, V. [0000-0001-9584-0392], Vachon, B. [0000-0001-8703-6978], Vadla, K.O.H. [0000-0001-6729-1584], Vafeiadis, T. [0000-0003-1492-5007], Vaidya, A. [0000-0003-4086-9432], Valderanis, C. [0000-0001-9362-8451], Valdes Santurio, E. [0000-0001-9931-2896], Valente, M. [0000-0002-0486-9569], Valentinetti, S. [0000-0003-2044-6539], Valero, A. [0000-0002-9776-5880], Valéry, L. [0000-0002-5510-1111], Vallance, R.A. [0000-0002-6782-1941], Vallier, A. [0000-0002-5496-349X], Valls Ferrer, J.A. [0000-0002-3953-3117], Van Daalen, T.R. [0000-0002-2254-125X], Van Gemmeren, P. [0000-0002-7227-4006], Van Stroud, S. [0000-0002-7969-0301], Van Vulpen, I. [0000-0001-7074-5655], Vanadia, M. [0000-0003-2684-276X], Vandelli, W. [0000-0001-6581-9410], Vandenbroucke, M. [0000-0001-9055-4020], Vandewall, E.R. [0000-0003-3453-6156], Vannicola, D. [0000-0001-6814-4674], Vari, R. [0000-0002-2814-1337], Varnes, E.W. [0000-0001-7820-9144], Varni, C. [0000-0001-6733-4310], Varol, T. [0000-0002-0697-5808], Varouchas, D. [0000-0002-0734-4442], Varvell, K.E. [0000-0003-1017-1295], Vasile, M.E. [0000-0001-8415-0759], Vasquez, G.A. [0000-0002-3285-7004], Vazeille, F. [0000-0003-1631-2714], Vazquez Furelos, D. [0000-0002-5551-3546], Vazquez Schroeder, T. [0000-0002-9780-099X], Veatch, J. [0000-0003-0855-0958], Vecchio, V. [0000-0002-1351-6757], Veen, M.J. [0000-0001-5284-2451], Veloce, L.M. [0000-0003-1827-2955], Veloso, F. [0000-0002-5956-4244], Veneziano, S. [0000-0002-2598-2659], Ventura, A. [0000-0002-3368-3413], Verbytskyi, A. [0000-0002-3713-8033], Verducci, M. [0000-0001-8209-4757], Vergis, C. [0000-0002-3228-6715], Verkerke, W. [0000-0001-5468-2025], Vermeulen, A.T. [0000-0002-8884-7112], Vermeulen, J.C. [0000-0003-4378-5736], Vernieri, C. [0000-0002-0235-1053], Verschuuren, P.J. [0000-0002-4233-7563], Vetterli, M.C. [0000-0002-7223-2965], Viaux Maira, N. [0000-0002-5102-9140], Vickey, T. [0000-0002-1596-2611], Vickey Boeriu, O.E. [0000-0002-6497-6809], Viehhauser, G.H.A. [0000-0002-0237-292X], Vigani, L. [0000-0002-6270-9176], Villa, M. [0000-0002-9181-8048], Villaplana Perez, M. [0000-0002-0048-4602], Vilucchi, E. [0000-0002-4839-6281], Vincter, M.G. [0000-0002-5338-8972], Virdee, G.S. [0000-0002-6779-5595], Vishwakarma, A. [0000-0001-8832-0313], Vittori, C. [0000-0001-9156-970X], Vivarelli, I. [0000-0003-0097-123X], Vogel, M. [0000-0003-0672-6868], Vokac, P. [0000-0002-3429-4778], Von Ahnen, J. [0000-0003-4032-0079], von Buddenbrock, S.E. [0000-0002-8399-9993], Von Toerne, E. [0000-0001-8899-4027], Vorobel, V. [0000-0001-8757-2180], Vorobev, K. [0000-0002-7110-8516], Vos, M. [0000-0001-8474-5357], Vossebeld, J.H. [0000-0001-8178-8503], Vozak, M. [0000-0002-7561-204X], Vranjes, N. [0000-0001-5415-5225], Vranjes Milosavljevic, M. [0000-0003-4477-9733], Vreeswijk, M. [0000-0001-8083-0001], Vu, N.K. [0000-0002-6251-1178], Vuillermet, R. [0000-0003-3208-9209], Vukotic, I. [0000-0003-0472-3516], Wada, S. [0000-0002-8600-9799], Wagner, P. [0000-0001-7481-2480], Wagner, W. [0000-0002-9198-5911], Wahdan, S. [0000-0002-6324-8551], Wahlberg, H. [0000-0003-0616-7330], Wakasa, R. [0000-0002-8438-7753], Walbrecht, V.M. [0000-0002-7385-6139], Walder, J. [0000-0002-9039-8758], Walker, R. [0000-0001-8535-4809], Walkowiak, W. [0000-0002-0385-3784], Wang, A.M. [0000-0001-8972-3026], Wang, A.Z. [0000-0003-2482-711X], Wang, C. [0000-0001-9116-055X], Wang, C. [0000-0002-8487-8480], Wang, H. [0000-0003-3952-8139], Wang, J. [0000-0002-5246-5497], Wang, P. [0000-0002-6730-1524], Wang, R.-J. [0000-0002-5059-8456], Wang, R. [0000-0001-9839-608X], Wang, R. [0000-0001-8530-6487], Wang, S.M. [0000-0002-5821-4875], Wang, T. [0000-0002-1152-2221], Wang, W.T. [0000-0002-7184-9891], Wang, W.X. [0000-0002-1444-6260], Wang, Y. [0000-0003-2693-3442], Wang, Z. [0000-0002-0928-2070], Wanotayaroj, C. [0000-0002-8178-5705], Warburton, A. [0000-0002-2298-7315], Ward, C.P. [0000-0002-5162-533X], Ward, R.J. [0000-0001-5530-9919], Warrack, N. [0000-0002-8268-8325], Watson, A.T. [0000-0001-7052-7973], Watson, M.F. [0000-0002-9724-2684], Watts, G. [0000-0002-0753-7308], Waugh, B.M. [0000-0003-0872-8920], Webb, A.F. [0000-0002-6700-7608], Weber, C. [0000-0002-8659-5767], Weber, M.S. [0000-0002-2770-9031], Weber, S.A. [0000-0003-1710-4298], Weber, S.M. [0000-0002-2841-1616], Wei, Y. [0000-0001-9725-2316], Weidberg, A.R. [0000-0002-5158-307X], Weingarten, J. [0000-0003-2165-871X], Weirich, M. [0000-0002-5129-872X], Weiser, C. [0000-0002-6456-6834], Wells, P.S. [0000-0003-4999-896X], Wenaus, T. [0000-0002-8678-893X], Wendland, B. [0000-0003-1623-3899], Wengler, T. [0000-0002-4375-5265], Wenig, S. [0000-0002-4770-377X], Wermes, N. [0000-0001-9971-0077], Wessels, M. [0000-0002-8192-8999], Whalen, K. [0000-0002-9383-8763], Wharton, A.M. [0000-0002-9507-1869], White, A.S. [0000-0003-0714-1466], White, A. [0000-0001-8315-9778], White, M.J. [0000-0001-5474-4580], Whiteson, D. [0000-0002-2005-3113], Whitmore, B.W. [0000-0001-9130-6731], Wiedenmann, W. [0000-0003-3605-3633], Wiel, C. [0000-0003-1995-9185], Wielers, M. [0000-0001-9232-4827], Wiglesworth, C. [0000-0001-6219-8946], Wiik-Fuchs, L.A.M. [0000-0002-5035-8102], Wilkens, H.G. [0000-0002-8483-9502], Wilkins, L.J. [0000-0002-7092-3500], Williams, D.M. [0000-0002-5646-1856], Williams, S. [0000-0001-6174-401X], Willocq, S. [0000-0002-4120-1453], Windischhofer, P.J. [0000-0001-5038-1399], Wingerter-Seez, I. [0000-0001-9473-7836], Winkels, E. [0000-0003-0156-3801], Winklmeier, F. [0000-0001-8290-3200], Winter, B.T. [0000-0001-9606-7688], Wobisch, M. [0000-0002-0688-3380], Wolf, A. [0000-0002-4368-9202], Wölker, R. [0000-0002-7402-369X], Wolter, M.W. [0000-0001-9184-2921], Wolters, H. [0000-0002-9588-1773], Wong, V.W.S. [0000-0001-5975-8164], Wongel, A.F. [0000-0002-6620-6277], Woods, N.L. [0000-0002-8993-3063], Worm, S.D. [0000-0002-3865-4996], Wosiek, B.K. [0000-0003-4273-6334], Woźniak, K.W. [0000-0003-1171-0887], Wraight, K. [0000-0002-3298-4900], Wu, S.L. [0000-0001-5866-1504], Wu, X. [0000-0001-7655-389X], Wu, Y. [0000-0002-1528-4865], Wuerzinger, J. [0000-0002-4055-218X], Wyatt, T.R. [0000-0001-9690-2997], Wynne, B.M. [0000-0001-9895-4475], Xella, S. [0000-0002-0988-1655], Xiao, X. [0000-0002-1344-8723], Xie, X. [0000-0001-6473-7886], Xu, D. [0000-0001-6355-2767], Xu, H. [0000-0001-6110-2172], Xu, L. [0000-0001-8997-3199], Xu, R. [0000-0002-1928-1717], Xu, T. [0000-0002-0215-6151], Xu, W. [0000-0001-5661-1917], Xu, Y. [0000-0001-9563-4804], Xu, Z. [0000-0001-9571-3131], Xu, Z. [0000-0001-9602-4901], Yabsley, B. [0000-0002-2680-0474], Yacoob, S. [0000-0001-6977-3456], Yallup, D.P. [0000-0003-4716-5817], Yamaguchi, N. [0000-0002-6885-282X], Yamaguchi, Y. [0000-0002-3725-4800], Yamazaki, T. [0000-0003-0411-3590], Yamazaki, Y. [0000-0003-3710-6995], Yan, Z. [0000-0002-2483-4937], Yang, H.J. [0000-0001-7367-1380], Yang, H.T. [0000-0003-3554-7113], Yang, S. [0000-0002-0204-984X], Yang, T. [0000-0002-4996-1924], Yang, X. [0000-0002-1452-9824], Yang, X. [0000-0002-9201-0972], Yang, Y. [0000-0001-8524-1855], Yang, Z. [0000-0002-7374-2334], Yao, W-M. [0000-0002-3335-1988], Yap, Y.C. [0000-0001-8939-666X], Ye, H. [0000-0002-4886-9851], Ye, J. [0000-0001-9274-707X], Ye, S. [0000-0002-7864-4282], Yeletskikh, I. [0000-0003-0586-7052], Yexley, M.R. [0000-0002-1827-9201], Yin, P. [0000-0003-2174-807X], Yorita, K. [0000-0003-1988-8401], Yoshihara, K. [0000-0002-3656-2326], Young, C.J.S. [0000-0001-5858-6639], Young, C. [0000-0003-3268-3486], Yuan, R. [0000-0002-8452-0315], Yue, X. [0000-0001-6956-3205], Zaazoua, M. [0000-0002-4105-2988], Zabinski, B. [0000-0001-5626-0993], Zacharis, G. [0000-0002-3156-4453], Zaffaroni, E. [0000-0003-1714-9218], Zahreddine, J. [0000-0002-6932-2804], Zaitsev, A.M. [0000-0002-4961-8368], Zakareishvili, T. [0000-0001-7909-4772], Zakharchuk, N. [0000-0002-4963-8836], Zambito, S. [0000-0002-4499-2545], Zanzi, D. [0000-0002-1222-7937], Zeißner, S.V. [0000-0002-9037-2152], Zeitnitz, C. [0000-0003-2280-8636], Zemaityte, G. [0000-0001-6331-3272], Zeng, J.C. [0000-0002-2029-2659], Zenin, O. [0000-0002-5447-1989], Ženiš, T. [0000-0001-8265-6916], Zenz, S. [0000-0002-9720-1794], Zerradi, S. [0000-0001-9101-3226], Zerwas, D. [0000-0002-4198-3029], Zgubič, M. [0000-0002-5110-5959], Zhang, B. [0000-0002-9726-6707], Zhang, D.F. [0000-0001-7335-4983], Zhang, G. [0000-0002-5706-7180], Zhang, J. [0000-0002-9907-838X], Zhang, K. [0000-0002-9778-9209], Zhang, L. [0000-0002-9336-9338], Zhang, L. [0000-0001-5241-6559], Zhang, M. [0000-0001-8659-5727], Zhang, R. [0000-0002-8265-474X], Zhang, X. [0000-0003-4731-0754], Zhang, X. [0000-0003-4341-1603], Zhang, Y. [0000-0002-4554-2554], Zhang, Z. [0000-0002-7853-9079], Zhao, P. [0000-0003-0054-8749], Zhao, Y. [0000-0003-0494-6728], Zhao, Z. [0000-0001-6758-3974], Zhemchugov, A. [0000-0002-3360-4965], Zheng, Z. [0000-0002-8323-7753], Zhong, D. [0000-0001-9377-650X], Zhou, C. [0000-0001-5904-7258], Zhou, H. [0000-0002-7986-9045], Zhou, M. [0000-0001-7223-8403], Zhou, N. [0000-0002-1775-2511], Zhu, C.G. [0000-0001-8015-3901], Zhu, C. [0000-0002-5918-9050], Zhu, H.L. [0000-0001-8479-1345], Zhu, H. [0000-0001-8066-7048], Zhu, J. [0000-0002-5278-2855], Zhu, Y. [0000-0002-7306-1053], Zhuang, X. [0000-0003-0996-3279], Zhukov, K. [0000-0003-2468-9634], Zhulanov, V. [0000-0002-0306-9199], Zieminska, D. [0000-0002-6311-7420], Zimine, N.I. [0000-0003-0277-4870], Zimmermann, S. [0000-0002-1529-8925], Živković, L. [0000-0003-4236-8930], Zoccoli, A. [0000-0002-0993-6185], Zoch, K. [0000-0003-2138-6187], Zorbas, T.G. [0000-0003-2073-4901], Zou, R. [0000-0002-0542-1264], Zwalinski, L. [0000-0002-9397-2313], Apollo - University of Cambridge Repository, Współautorami artykułu są członkowie ATLAS Collaboration w liczbie 2890, Aloisio, Alberto, Alviggi, Mariagrazia, Canale, Vincenzo, Della Pietra, Massimo, Merola, Leonardo, Massarotti, Paolo, Conventi, Francesco, Rossi, Elvira, Carlino, Giampaolo, de Asmundis, Riccardo, Di Donato, Camilla, Doria, Alessandra, Iengo, Paolo, Izzo, Vincenzo, Perrella, Sabrina, Sekhniaidze, Givi, Cirotto, Francesco, Lavorgna, Marco, Giannini, Antonio, and Atlas, Collaboration
Subjects: Kjerne- og elementærpartikkelfysikk: 431 [VDP], Physics - Instrumentation and Detectors, Computer science, data acquisition, Tracking (particle physics), 01 natural sciences, Online farms and online filtering, High Energy Physics - Experiment, Subatomär fysik, High Energy Physics - Experiment (hep-ex), Data acquisition, Software, cluster finding, Subatomic Physics, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], hardware, Calibration and fitting methods, Cluster finding, Modular electronics, Pattern recognition, Trigger concepts and systems (hardware and software), Detectors and Experimental Techniques, Instrumentation, Mathematical Physics, FPGA, Settore FIS/01, Large Hadron Collider, Pattern recognition, cluster finding, calibration and fitting methods, track data analysis, Detector, integrated circuit, microstrip [semiconductor detector], Modular electronic, Instrumentation and Detectors (physics.ins-det), calibration and fitting methods, ATLAS, medicine.anatomical_structure, Nuclear and elementary particle physics: 431 [VDP], Pattern recognition (psychology), design [electronics], semiconductor detector: microstrip, LHC, Computer hardware, performance, Particle Physics - Experiment, 530 Physics, FOS: Physical sciences, LHC, ATLAS, High Energy Physics, Accelerator Physics and Instrumentation, programming, Calibration and fitting method, semiconductor detector: pixel, Atlas (anatomy), 0103 physical sciences, medicine, High Energy Physics, ddc:610, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], 010306 general physics, Field-programmable gate array, numerical calculations, pixel [semiconductor detector], 010308 nuclear & particles physics, business.industry, paper, bibliography, Acceleratorfysik och instrumentering, trigger, LHC, Particle Tracking, High-level Trigger, Particle Tracking, efficiency, High-level Trigger, data management, business, Hadron-hadron collisions, electronics: design
Abstract: We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerba¼an; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRT, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia and NRC KI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DST/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada, CRC and IVADO, Canada; Be¼ing Municipal Science & Technology Commission, China; COST, ERC, ERDF, Horizon 2020 and Marie Skłodowska-Curie Actions, European Union; Investissements d’Avenir Labex, Investissements d’Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO TEO and GenT Programmes Generalitat Valenciana, Spain; Göran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF(Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (U.K.) and BNL (U.S.A.), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref. [52]., The ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger by using pattern recognition based on Associative Memory (AM) chips and fitting in high-speed field programmable gate arrays. The tracks found by the FTK are based on inputs from all modules of the pixel and silicon microstrip trackers. The as-built FTK system and components are described, as is the online software used to control them while running in the ATLAS data acquisition system. Also described is the simulation of the FTK hardware and the optimization of the AM pattern banks. An optimization for long-lived particles with large impact parameter values is included. A test of the FTK system with the data playback facility that allowed the FTK to be commissioned during the shutdown between Run 2 and Run 3 of the LHC is reported. The resulting tracks from part of the FTK system covering a limited η-ϕ region of the detector are compared with the output from the FTK simulation. It is shown that FTK performance is in good agreement with the simulation., ANPCyT, Argentina, YerPhI, Armenia, ARC, Australia, BMWFW and FWF, Austria, ANAS, Azerbaijan, SSTC, Belarus, CNPq and FAPESP, Brazil, NSERC, NRC and CFI, Canada, CERN, ANID, Chile, CAS, MOST and NSFC, China, COLCIENCIAS, Colombia, MSMT CR, MPO CR and VSC CR, Czech Republic, DNRF and DNSRC, Denmark, IN2P3-CNRS and CEA-DRF/IRFU, France, SRNSFG, Georgia, BMBF, HGF and MPG, Germany, GSRT, Greece, RGC and Hong Kong SAR, China, ISF and Benoziyo Center, Israel, INFN, Italy, MEXT and JSPS, Japan, CNRST, Morocco, NWO, Netherlands, RCN, Norway, MNiSW and NCN, Poland, FCT, Portugal, MNE/IFA, Romania, JINR, MES of Russia and NRC KI, Russian Federation, MESTD, Serbia, MSSR, Slovakia, ARRS and MIZŠ, Slovenia, DST/NRF, South Africa, MICINN, Spain, SRC and Wallenberg Foundation, Sweden, SERI, SNSF and Cantons of Bern and Geneva, Switzerland, MOST, Taiwan, TAEK, Turkey, STFC, United Kingdom, DOE and NSF, United States of America, BCKDF, CANARIE, Compute Canada, CRC and IVADO, Canada, Bejiing Municipal Science & Technology Commission, China, COST, ERC, ERDF, Horizon 2020 and Marie Skłodowska-Curie Actions, European Union, Investissements d’Avenir Labex, Investissements d’Avenir Idex and ANR, France, DFG and AvH Foundation, Germany, Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece, BSF-NSF and GIF, Israel, La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain, Göran Gustafssons Stiftelse, Sweden, The Royal Society and Leverhulme Trust, United Kingdom
Published: 2021

34. Basic technology and proper usage of home health monitoring devices

Author: Shaikat Mondal and Himel Mondal
Subjects: Community and Home Care, Remote Consultation, Digital thermometers, Blood pressure monitors, business.industry, blood pressure monitors, Primary health care, Review, Blood glucose monitors, medicine.disease, primary health care, covid-19, Electrocardiographs, Home health, medicine, blood glucose, Medicine, remote consultation, Medical emergency, Family Practice, business, Pulse oximeters
Abstract: Home health monitoring devices are consumer-grade devices that help to monitor the health of individuals at home. These devices are usually low-cost and easily procurable, and they can be operated by patients or their caretakers with minimal training. However, improper usage of these devices may provide erroneous results, which can lead to an unnecessary hospital visit or teleconsultation. In this article, we discuss the basic technology and proper usage of some of these devices, namely automatic blood pressure monitors, blood glucose monitors, body fat monitors, pulse oximeters, electrocardiographs, digital thermometers, and infrared thermometers. This brief document intends to help primary health care professionals and their patients use these devices.
Published: 2021

35. Information-seeking behavior on Coronavirus Disease-19 Vaccine on the internet: A global and Indian search trend analysis

Author: Ritushri Samantaray, Shaikat Mondal, and Himel Mondal
Subjects: Online and offline, Government, Schedule, education.field_of_study, business.industry, Internet privacy, Population, coronavirus, General Medicine, vaccines, Public domain, Trend analysis, covid-19, information-seeking behavior, Information seeking behavior, Medicine, The Internet, internet, business, education
Abstract: Background: A significant portion of the global population seeks health-related information on the Internet. The world is searching for an effective vaccine to control the coronavirus disease-19. Knowing the information-seeking behavior of the population helps in designing an awareness program. Aim: This study aimed to explore the information-seeking behavior of the global and Indian population by analyzing Internet search trends. Materials and Methods: This cross-sectional study was conducted from April to November 2020. We used fully anonymous data available in the public domain ( https://trends.google.com/trends ). The phrase “COVID vaccine” was searched with “schedule,” “when,” “cost,” “where,” and “side effect” to compare the trends. The global and Indian data were categorized month-wise and statistically tested by the Chi-square test. Results: Global Internet users seek information on “when” the COVID vaccine would be available followed by “where” to get the vaccine. The “schedule,” “cost,” and “side effect” come later. Indian search trend is similar for “when” and “where.” However, the third query was the “cost” followed by “schedule” and “side effect.” Conclusion: The Internet search trend showed that people around the world want to know when they would get a vaccine and where to get it. The least search volume was about the side effects of the vaccine. Primary care physicians, government, and nongovernment stakeholders may use this finding for optimum dissemination of information both online and offline.
Published: 2021

36. Impacts of biomedical hashtag-based Twitter campaign: #DHPSP utilization for promotion of open innovation in digital health, patient safety, and personalized medicine

Author: R. Gonzalo Parra, Smith B. Babiaka, Paula Piccard, Manja Zec, Atanas G. Atanasov, Rajeev K Singla, Maria Kletecka-Pulker, Harald Willschke, Mosa E.O. Ahmed, Eoghan J. Mulholland, Bruno Mezzetti, Joy I. Odimegwu, Sherri Bucher, Anela Tosevska, Tushar Garg, Ronita De, Bairong Shen, Sara Di Lonardo, Rehab A. Rayan, Christos Tsagkaris, Anna Maria Louka, Mathias Maleczek, Merisa Cenanovic, Maurizio Battino, Dongdong Wang, Pravin Badhe, Nikolay T. Tzvetkov, Abdulkadir Yusif Maigoro, Mihnea-Alexandru Găman, Jennifer R. Depew, Eva Schaden, Andy Wai Kan Yeung, Bikramjit Konwar, Francesca Giampieri, Chandragiri Siva Sai, Himel Mondal, Ronan Lordan, Alfonso T. García-Sosa, José L. Quiles, G.M. Khalid, Kiran R. Kharat, Sourav S. Patnaik, Sanusi, A. A. Tikhonov, Johra Khan, Md. Sahab Uddin, Mágali S. Urquiza, Fabien Schultz, Soojin Lee, Faisal A. Nawaz, Shravan Kumar Paswan, Tamara Y. Forbes-Hernandez, Danila Cianciosi, Hemanth Kumar Boyina, Surya Kant Tripathi, Jesus Simal-Gandara, Faizan Akram, Hari Prasad Devkota, Sandeep R. Pai, Elena González-Burgos, Simon Sieber, Marija Habijan, and Daniel Sur
Subjects: Technology and Engineering, media_common.quotation_subject, Internet privacy, Social media analytics, 03 medical and health sciences, Patient safety, 0302 clinical medicine, Promotion (rank), Health care, Science communication, 030212 general & internal medicine, 030304 developmental biology, Open innovation, media_common, 0303 health sciences, business.industry, Biology and Life Sciences, Digital health, Personalized medicine, 3. Good health, Twitter hashtags, business, TP248.13-248.65, Biotechnology
Abstract: The open innovation hub Digital Health and Patient Safety Platform (DHPSP) was recently established with the purpose to invigorate collaborative scientific research and the development of new digital products and personalized solutions aiming to improve human health and patient safety. In this study, we evaluated the effectiveness of a Twitter-based campaign centered on using the hashtag #DHPSP to promote the visibility of the DHPSP initiative. Thus, tweets containing #DHPSP were monitored for five weeks for the period 20.10.2020–24.11.2020 and were analyzed with Symplur Signals (social media analytics tool). In the study period, a total of 11,005 tweets containing #DHPSP were posted by 3020 Twitter users, generating 151,984,378 impressions. Analysis of the healthcare stakeholder-identity of the Twitter users who used #DHPSP revealed that the most of participating user accounts belonged to individuals or doctors, with the top three user locations being the United States (501 users), the United Kingdom (155 users), and India (121 users). Analysis of co-occurring hashtags and the full text of the posted tweets further revealed that the major themes of attention in the #DHPSP Twitter-community were related to the coronavirus disease 2019 (COVID-19), medicine and health, digital health technologies, and science communication in general. Overall, these results indicate that the #DHPSP initiative achieved high visibility and engaged a large body of Twitter users interested in the DHPSP focus area. Moreover, the conducted campaign resulted in an increase of DHPSP member enrollments and website visitors, and new scientific collaborations were formed. Thus, Twitter campaigns centered on a dedicated hashtag prove to be a highly efficient tool for visibility-promotion, which could be successfully utilized by healthcare-related open innovation platforms or initiatives.
Published: 2021

37. Roles of structure and electron mobilization in enhanced ethanol sensing by Al doped SnO2nanoparticles

Author: Dibya Jyoti Mondal, Swastik Mondal, Velaga Srihari, Sanjit Konar, Ajay Kumar Mishra, Nirman Chakraborty, Debdulal Saha, and Sagnik Das
Subjects: Materials science, business.industry, Doping, Oxide, chemistry.chemical_element, Nanoparticle, 02 engineering and technology, 010402 general chemistry, 021001 nanoscience & nanotechnology, Tin oxide, 01 natural sciences, 0104 chemical sciences, chemistry.chemical_compound, Band bending, chemistry, Depletion region, Chemistry (miscellaneous), Aluminium, Optoelectronics, General Materials Science, Grain boundary, 0210 nano-technology, business
Abstract: Improvement in sensing performance by metal oxide based materials has usually been achieved by doping, morphology tuning, particle size tailoring or porosity modification. The existing models of band bending and grain boundary depletion layer that explain chemiresistive sensing address the above issues in terms of qualitative electronic behaviour. However, for thick film sensors in particular, there is a clear demarcation between the surface and the bulk. Thus the concept of gross electronic distribution needs refinement in terms of variable behavior of electrons in the surface and in the bulk so that the roles of different layers in a sensor film are distinguishable. Using the case of improved 98.2% ethanol sensing response by paramagnetic aluminium doped tin oxide mesoporous nano-systems, we have demonstrated how Al doping promotes difference in electronic behavior in the surface and in the bulk of thick film sensors, complementing the existing charge depletion model. The 4-fold improvement in sensing responses by Sn0.947Al0.144O1.881 and Sn0.869Al0.242O1.888 as compared to tin oxide have been explained in terms of shortening of the unit cell by virtue of aluminium doping, and the 2.4-fold improvement in sensing response by Sn0.869Al0.242O1.888 as compared to Sn0.947Al0.144O1.881 has been explained by surface and bulk electron mobilization. Considering the conceptual inclusiveness of correlation studied, it is expected to be applicable in explaining sensing mechanisms based on electron mobilization in other metal oxide sensor systems also.
Published: 2021

38. A Study on the Knowledge Level and Extent of Adoption of Plant Protection Measures against Blast Disease of Rice by the Farmers of Indian Sundarbans

Author: Bholanath Mondal, Sabita Nath, and Palash Mondal
Subjects: business.industry, Knowledge level, food and beverages, General Agricultural and Biological Sciences, business, General Biochemistry, Genetics and Molecular Biology, Blast disease, Biotechnology
Abstract: The study was conducted to know the knowledge and adoption level of plant protection measures against blast disease among 80 respondent paddy growers in the blocks of North and South 24 Parganas of Sundarbans. About 48.75% of the respondents had medium knowledge. Majority of the respondents (75%) knew about blast disease of rice and its key identifying symptom. The 67.5% farmers were having the knowledge about the fungicides used against the disease (Tricyclazole 75 WP, Carbendazim 50 WP, Hexaconazole 5EC), and 22.5% of the farmers knowing about the recommended dose of fungicide application. The 28.75% of the respondents also knew that the fungicide should be applied at the first appearance of the disease. Further, it has been found that the adoption level of plant protection measures against blast disease of rice was medium (47.5%). Nearly 53.75% of the respondents practicing rice cultivation were in the middle age group of 31-50 years. Most of the respondent had either 0.13-0.27ha (22.5%) or 0.40-0.67ha (37.5%) landholding wherein they were practicing rice cultivation. Almost all the respondents (100%) possessed Knapsack or hand sprayer for fungicide application. Climatic vagaries, lack of knowledge about to the number of sprays and concerning technology application, non-availability of fungicide on time, lack of facility at the nearby place were the major constraints as expressed by 95, 83.75, 85, 90, and 95 per cent of respondents, respectively. The high cost of chemicals and expensiveness and non-availability of labour during peak cropping period were also the major constraints as expressed by 60 and 83.75 per cent of the respondents, respectively. There was a significant relationship between age, education, landholding, social, mass media and participation in extension activities with knowledge and adoption levels of the farmers of the Indian Sundarbans.
Published: 2020

39. Induction of cardiomyocyte calcification is dependent on FoxO1/NFATc3/Runx2 signaling

Author: Shreya Das, Arunima Mondal, Jayeeta Samanta, Santanu Chakraborty, and Arunima Sengupta
Subjects: NFATC3, medicine.medical_specialty, Core Binding Factor Alpha 1 Subunit, Nerve Tissue Proteins, FOXO1, Cell Line, Calcification, Physiologic, Cardiovascular calcification, Osteogenesis, Internal medicine, medicine, Animals, Myocytes, Cardiac, Transcription factor, Fetus, NFATC Transcription Factors, business.industry, Mechanism (biology), Calcinosis, Cell Biology, General Medicine, medicine.disease, Culture Media, Rats, RUNX2, Cardiology, business, Signal Transduction, Developmental Biology, Calcification
Abstract: Cardiovascular disorders (CAVDs) being a major concern over the past several years due to the huge number of morbidity and mortality worldwide, a number of studies have been done on the various aspects of cardiac problems. One of the various CAVDs is cardiovascular calcification. A number of investigations and research work have been done previously on the molecular mechanism of vascular and heart valve calcification but the mechanism of myocardial and cardiomyocyte calcification has remained uninvestigated. A number of case studies have shown the presence of calcific deposits in the myocardial/ventricular region of the heart in fetal condition as well as in individuals of different ages but no detailed studies have been done yet. In this study, we have mainly investigated the role of Forkhead box transcription factor FoxO1 and nuclear factor of activated T-cells NFATc3 in cardiomyocyte calcification. Our studies in H9c2 cardiomyocytes show that calcific deposition in cardiomyocytes does not occur in 15 d but upon osteogenic induction for 1 mo where FoxO1 expression gets reduced thereby increasing the expression of its downstream target NFATc3, thus increasing the expression of the osteogenic marker Runx2. Detailed studies on the molecular mechanism of cardiomyocyte calcification will help in finding out therapeutic strategies in the treatment of cardiac calcification.
Published: 2021

40. Neurodegenerative disorders management: state-of-art and prospects of nano-biotechnology

Author: Ajeet Kaushik, Seeram Ramakrishna, David Oupicky, Raj Kumar, Kunal Mondal, Yogendra Kumar Mishra, and Keshaw Ram Aadil
Subjects: business.industry, Neurodegenerative Diseases, Neural degeneration, General Medicine, Disease, Applied Microbiology and Biotechnology, Brain Cell, Variety (cybernetics), Nanomedicine, Drug Delivery Systems, Risk analysis (engineering), Brain stimulation, State of art, Humans, Nanoparticles, Nanotechnology, Medicine, Lack of knowledge, Personalized medicine, business, Aged, Biotechnology
Abstract: Neurodegenerative disorders (NDs) are highly prevalent among the aging population. It affects primarily the central nervous system (CNS) but the effects are also observed in the peripheral nervous system. Neural degeneration is a progressive loss of structure and function of neurons, which may ultimately involve cell death. Such patients suffer from debilitating memory loss and altered motor coordination which bring up non-affordable and unavoidable socio-economic burdens. Due to the unavailability of specific therapeutics and diagnostics, the necessity to control or manage NDs raised the demand to investigate and develop efficient alternative approaches. Keeping trends and advancements in view, this report describes both state-of-the-art and challenges in nano-biotechnology-based approaches to manage NDs, toward personalized healthcare management. Sincere efforts are being made to customize nano-theragnostics to control: therapeutic cargo packaging, delivery to the brain, nanomedicine of higher efficacy, deep brain stimulation, implanted stimulation, and managing brain cell functioning. These advancements are useful to design future therapy based on the severity of the patient's neurodegenerative disease. However, we observe a lack of knowledge shared among scientists of a variety of expertise to explore this multi-disciplinary research field for NDs management. Consequently, this review will provide a guideline platform that will be useful in developing novel smart nano-therapies by considering the aspects and advantages of nano-biotechnology to manage NDs in a personalized manner. Nano-biotechnology-based approaches have been proposed as effective and affordable alternatives at the clinical level due to recent advancements in nanotechnology-assisted theragnostics, targeted delivery, higher efficacy, and minimal side effects.
Published: 2021

41. Strategic integration of single flash geothermal steam cycle (SFGSC) and ejector assisted dual-evaporator organic flash refrigeration cycle (EADEOFRC) for power and multi-temperature cooling: 2nd law performance study

Author: Subha Mondal, Sudipta De, and Chitta Sahana
Subjects: Rankine cycle, Renewable Energy, Sustainability and the Environment, business.industry, Evaporator (marine), Refrigeration, Injector, Dual (category theory), Power (physics), law.invention, Flash (photography), law, Environmental science, Process engineering, business, Geothermal gradient
Abstract: In the present study, an ejector-assisted dual-evaporator organic flash refrigeration cycle (EADEOFRC) is integrated with a single flash geothermal steam cycle (SFGSC). The EADEOFRC also consists o...
Published: 2021

42. Gender gap in rural literacy: a spatio-temporal analysis of Bankura district in West Bengal, India

Author: Bhaswati Pal and Tarun Kumar Mondal
Subjects: business.industry, media_common.quotation_subject, Geography, Planning and Development, Context (language use), Literacy, Social group, Geography, Agriculture, Human geography, West bengal, Gender gap, Rural area, business, Socioeconomics, media_common
Abstract: Gender inequality in literacy is higher in rural areas compared to urban areas and also in Scheduled Castes (SCs) and Scheduled Tribes (STs) compared to other communities in India. Comprehensive studies across regions and social groups are required to reduce gender inequality in literacy in this country. In this context, the study attempts to analyse the nature of gender gap in rural literacy of Bankura district in West Bengal, India from 1961 to 2011. Gender gap in rural literacy in this district has been assessed using logged gender odds ratios. Time series analysis has also been used to estimate the time period to achieve 100% rural female literacy in this district. During the study period, decline in gender gap in rural literacy has been observed in Bankura district, however, this gap has remained comparatively high in the western part of the district. Expansion of education infrastructure and adequate support towards the girls of agricultural distressed families are essential for reduction in gender gap in rural literacy. Special attention is also required towards the female education in SCs and STs of Bankura district in this context.
Published: 2021

43. Assessment of molecular genetic diversity of 384 chickpea genotypes and development of core set of 192 genotypes for chickpea improvement programs

Author: Reyazul Rouf Mir, Asma Hamid Mir, Aijaz A. Wani, Mohammad Yasin, Biswajit Mondal, Mohd Anwar Khan, Humara Fayaz, Javid Iqbal Mir, S. Tyagi, and Nelofar Jan
Subjects: Core set, Genetic diversity, business.industry, Genotype, Genetics, Plant Science, Biology, business, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Biotechnology
Published: 2021

44. Sizing approaches for solar photovoltaic‐based microgrids: A comprehensive review

Author: Sajeeb Saha, Mobi Mathew, Som Mondal, Enamul Haque, and Shafayet Hossain
Subjects: TK1001-1841, Environmental Engineering, photovoltaic power systems, Renewable Energy, Sustainability and the Environment, Computer science, business.industry, Photovoltaic system, Energy Engineering and Power Technology, smartpower grids, Energy industries. Energy policy. Fuel trade, Sizing, Production of electric energy or power. Powerplants. Central stations, solar power stations, HD9502-9502.5, Process engineering, business, Engineering (miscellaneous)
Abstract: In the design procedure of a PV‐based microgrid, optimal sizing of its components plays a significant role, as it ensures optimum utilization of the available solar energy and associated storage devices. This in turn ensures efficient and economic operation of the microgrid. Various approaches have been reported in the literature in order to approach the sizing problem in PV‐based microgrids. However, the existing approaches are subjective to the requirements of the microgrid and there is no unique framework for approaching the microgrid sizing problem. In this study, a comprehensive review of the existing approaches used for sizing of PV‐based microgrids with a summary of the commonly adopted design considerations has been presented. Also, the optimization problem, including the usually considered designed objectives and constraints, for PV‐based microgrid sizing have been thoroughly reviewed in this study. Furthermore, the adopted approaches for solving the optimization problem associated with the sizing of a PV‐based microgrid system available in the literature have been reviewed comprehensively. With a view to present a generic framework for the optimal sizing of a PV‐based microgrid, this study further presents a framework based on the comprehensive review of the existing literature. The developed framework will be useful for both the practising engineers and academics to understand and apply the usual practices for optimal sizing of PV‐based microgrids.
Published: 2021

45. Histochemical Localization of Bio-macromolecules in Cestode (Raillietina sp.) infected country fowls (Gallus domesticus) in India

Author: Chiranjeeb Dey, S. Pradhan, N. C. Patra, R. N. Hansda, Arkaprava Mandal, Samiran Mondal, D.P. Isore, and Sunit Kumar Mukhopadhayay
Subjects: Veterinary medicine, medicine.medical_specialty, biology, Glycogen, business.industry, Fowl, Periodic acid–Schiff stain, Haematoxylin, biology.organism_classification, chemistry.chemical_compound, Raillietina, chemistry, medicine, biology.protein, Histopathology, medicine.symptom, Mucoprotein, Emaciation, business
Abstract: Introduction: In Indian GDP, veterinary sector plays a major role in contribution wherein poultry meat plays good protein source. But the health status is less studied in case of country fowl. Aims and Objectives: Indian country fowl are highly infected with producing emaciation, reduced growth rate, highly morbidity with enteritis. After confirmation by gross and microscopy, samples undergone histopathology study using Haematoxylin and Eosin stain (H&E). Thereafter, the samples also processed for detection of carbohydrate by McManus method using PAS stain and mucoprotein was detected using congo red method. Results: Adult possesses carbohydrate, protein and fat. Histologically the mature, immature and gravid segments were differentiated whereas the histochemical techniques qualifies the biomacromolecules. The lipid droplet showed a clear vacuole preferably in and around the periphery portion. The glycogen distributed in an even manner. Subsequently, the protein was deposited mostly at the periphery in the body surfaces as well as in the egg. Keywords: Gallus domesticus, Cestode (Raillietina sp.), Bio-macromolecules, Histochemistry, Histopathology.
Published: 2021

46. Silicon Nanowire Arrays with Nitrogen-Doped Graphene Quantum Dots for Photodetectors

Author: Tamal K. Dey, Rabaya Basori, and Hasmat Mondal
Subjects: Nitrogen doped graphene, Materials science, business.industry, Quantum dot, Photodetector, Optoelectronics, General Materials Science, Silicon nanowires, business
Published: 2021

47. Viral infections in cultured fish and shrimps: current status and treatment methods

Author: Haimanti Mondal, John Thomas, Amitava Mukherjee, and Natarajan Chandrasekaran
Subjects: Veterinary medicine, biology, business.industry, fungi, Treatment method, Outbreak, Disease, Aquatic Science, biology.organism_classification, Shrimp, law.invention, Probiotic, Aquaculture, law, business, Medicinal plants, Agronomy and Crop Science, Bacteria
Abstract: Aquaculture is growing post-haste in recent years particularly in the fish and shrimp production. The rapid growth of aquaculture and increasing demand for fish have led to a rapid development of the fish and shrimp industry, resulting in increased production of both fish and shrimps. As a result, there is a greater risk of disease outbreaks. Mass mortalities in aquaculture are primarily due to infectious diseases caused by bacteria, viruses, and fungi. Among them, viral diseases are the most devastating, causing huge loss in the production of both cultured fish and shellfishes. There are several effective methods of treatment for these disease outbreaks. This review focuses on various methods of controlling the viral pathogens using various treatment methods like use of medicinal plants and seaweed extracts, bioactive compounds from actinomycetes, vaccines, probiotic microbes, chemicals, nanoparticles, and green synthesis of nanoparticles.
Published: 2021

48. Impact of Age on Emergency Resource Utilization and Outcomes in Pediatric and Young Adult Patients Supported with a Ventricular Assist Device

Author: Carol A. Wittlieb-Weber, Joseph W. Rossano, Hannah Katcoff, Jonathan B Edelson, Christopher E. Mascio, Kimberly Y. Lin, Heather Griffis, Edo Y. Birati, Matthew J. O'Connor, Chitra Ravishankar, Jonathan J. Edwards, Nosheen Reza, Antara Mondal, and Danielle S. Burstein
Subjects: education.field_of_study, medicine.medical_specialty, business.industry, medicine.medical_treatment, Population, Biomedical Engineering, Biophysics, Bioengineering, General Medicine, Emergency department, Odds ratio, medicine.disease, Comorbidity, Confidence interval, Biomaterials, Ventricular assist device, Emergency medicine, Ambulatory, Medicine, Young adult, education, business
Abstract: There are minimal data describing outcomes in ambulatory pediatric and young adult ventricular assist device (VAD)-supported patient populations. We performed a retrospective analysis of encounter-level data from 2006 to 2017 Nationwide Emergency Department Sample (NEDS) to compare emergency department (ED) resource utilization and outcomes for pediatric (≤18 years, n = 494) to young adult (19-29 years, n = 2,074) VAD-supported patient encounters. Pediatric encounters were more likely to have a history of congenital heart disease (11.3% vs. 4.8%). However, Pediatric encounters had lower admission/transfer rates (37.8% vs. 57.8%) and median charges ($3,334 (IQR $1,473-$19,818) vs. $13,673 ($3,331-$45,884)) (all p < 0.05). Multivariable logistic regression modeling revealed that age itself was not a predictor of admission, instead high acuity primary diagnoses and medical complexity were: (adjusted odds ratio; 95% confidence intervals): cardiac (3.0; 1.6-5.4), infection (3.4; 1.7-6.5), bleeding (3.9; 1.7-8.8), device complication (7.2; 2.7-18.9), and ≥1 chronic comorbidity (4.1; 2.5-6.7). In this largest study to date describing ED resource use and outcomes for pediatric and young adult VAD-supported patients, we found that, rather than age, high acuity presentations and comorbidities were primary drivers of clinical outcomes. Thus, reducing morbidity in this population should target comorbidities and early recognition of VAD-related complications.
Published: 2021

49. Probabilistic public health risks associated with pesticides and heavy metal exposure through consumption of common dried fish in coastal regions of Bangladesh

Author: M. D. H. Prodhan, Sazedul Hoque, Zillur Rahman, Pronoy Mondal, Fatema Tamanna, Hasan Al Banna, Mahmudul Hasan, and Martin Louis van Brakel
Subjects: Bombay duck, medicine.medical_specialty, biology, Pesticide residue, Dried fish, business.industry, Health, Toxicology and Mutagenesis, Public health, chemistry.chemical_element, General Medicine, Pesticide, Food safety, biology.organism_classification, Quechers, Pollution, Mercury (element), Toxicology, chemistry, medicine, Environmental Chemistry, Environmental science, business
Abstract: The chemical contaminants in dried fish are of great food safety concern and an emerging public health issue in Bangladesh. The aim of this study was to assess the public health risk associated with exposure to pesticides (organochlorine and organophosphorus) and heavy metals (lead, mercury, cadmium, chromium, arsenic) through the consumption of dried fish (Bombay duck, ribbon fish, silver jewfish, shrimp, Chinese promfret) in coastal districts (Cox’s Bazar, Chittagong, Bhola, Patuakhali, Khulna) of Bangladesh. Dried fish consumption data were collected from 500 adult respondents (100 from each district) using a food frequency questionnaire (FFQ). Pesticide residues were determined using QuEChERS extraction coupled to gas chromatography and gas chromatography mass spectrometry, and heavy metals were estimated using an atomic absorption spectrophotometric method. The results revealed that the frequency and amount of dried fish consumption was highest for Bombay duck in Cox’s Bazar (11.57 g/capita/day) and ribbon fish (12.10 g/capita/day) in Chittagong. The estimated daily intake (EDI, 7.40 × 10−5 to 1.10 × 10−4 mg/kg/day) and health risk index (HRI, 0.013 to 0.16) values expressed no health risk from pesticide residues in all the positive samples. For heavy metals, target hazard quotients (THQ) for non-carcinogenic health risk were below 1 (0.001–0.154), indicating no health risk for all samples. However, carcinogenic risk R value indicated a potential health risk for chromium (2.64 × 10−6 to 4.06 × 10−6), and carcinogenic RT value (2.82 × 10−6 to 5.71 × 10−6) indicated a potential health risk for all the metals. It is concluded that the risk of exposure to pesticides through the consumption of dried fish is low, while heavy metals pose moderate-to-high health risks to dried fish consumers in the study area. Thus, the study suggests an appropriate risk management policy that controls pesticides and heavy metals in dried fish to ensure safe food for local and global consumers, underpinned by a producers’ capacity building and consumers’ awareness raising strategy.
Published: 2021

50. Energy challenges for a clean environment: Bangladesh’s experience

Author: Shahjalal Khandaker, Tasrina Rabia Choudhury, Md. Rabiul Awual, Aminul Islam, Alam Hossain, Biplob Hossain, Alam Hossain Mondal, Kamrul Islam, Mohammad Tofayal Ahmed, Mohammad Forrukh Hossain Khan, and Minhaj Uddin Monir
Subjects: Sustainable development, Mains electricity, business.industry, 020209 energy, 02 engineering and technology, Energy security, Environmental economics, Energy planning, Energy challenges, Energy policy, TK1-9971, Long-term policy, General Energy, Electricity generation, 020401 chemical engineering, Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Business, Electricity, Electrical engineering. Electronics. Nuclear engineering, 0204 chemical engineering, Efficient energy use
Abstract: A significant progress has been made to increase electricity generation capacity in the country over the last decade. The electricity supply for growing demand is the foremost challenge of the government, as the country move towards the vision of middle-income status by 2021 and high-income by 2041. The energy security is the concern due the running out of gas supply soon. Despite significant progress on energy in recent years, the goal of access to electricity for all would not be attainable without implementation of a consistent national energy policy. Well-coordinated national energy policy is required to achieve sustainable development goals of the country. Priorities for action and regulatory framework of energy need to identify to overcome energy crisis. Long-term energy planning and private financing policy are also crucial to extend the pace of progress in the energy sector. This review provides insights into the energy policies at different sectors, notably coal fired electricity in Bangladesh. The results revealed that the effective and efficient CO2 emission could be reduced from power generating sector by introducing advanced fuel technologies and management system. Besides, higher thermal and mechanical efficiency can be obtained by initiating the combined power cycle systems in energy sector. The achievement in energy sector as well as challenges facing in ensuring sustainable energy is highlighted. The key challenges in the existing legal framework and substantial progress improving energy efficiency are also discussed in this review.
Published: 2021

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