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Quality of life during the pandemic: a cross sectional study about attitude, individual perspective and behavior change affecting general population in daily life

Quality of life during the pandemic: a cross sectional study...

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6th Smart Cities Symposium (SCS 2022)

作者： F. Khatoon M. Kumar A. A. Khalid A. D. Alshammari F. Khan R. D. Alshammari Z. Balouch D. Verma P. Mishra M. Abotaleb T. Makarovskikh E. M. El-kenawy P. K. Dutta J. A. Marques Biochemistry Department College of Medicine University of Hail Hail Saudi Arabia Department of Zoology Narain College Narain College Shikohabad India Queen Elizabeth the Queen Mother Hospital East Kent NHS Foundation Trust Margate Dept. of Public Health/Community Medicine in College of Medicine Princess Nourah Bint Abdul Rahman University Sulaiman Al-Rajhi University Department of Community Medicine Hail university United Medical College Jinnah University SS Jain Subodh Autonomous College Department of Zoology Jaipur (Raj) Jaipur India J.N.K.V.V. College of Agriculture Powarkheda India Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Mansoura Egypt School of Engineering and Technology Amity University Kolkata Kolkata India Laboratory of Applied Neurosciences - LAN/USJ University of Saint Joseph West Hartford China

Quality of life in general population before and during pandemic is topic need to be address by researcher in terms of mobility, self-care, usual activities, pain/discomfort and anxiety/depression. The study was carried out among Saudi population. Data were collected from general population using questionnaire during the period from 22 August 2021 to 10th January 2022. As a result, total 214 participants have included in this study. Among them prevalent age group include 40 years (n= 63, 29.4%) shadowed by the age group 25-35 (n= 61, 28.5%) while above 60 years group were least frequent (n= 1, 0.5%). On questioning the applicants whether they were satisfied with their health and how would they rate their quality of life, their answers were as follows: yes, or satisfied (n= 86, 40.2%), very Satisfied (n= 102, 47.7%) Dissatisfied (n= 11, 5.1%) and neither satisfied nor dissatisfied (n= 15, 7%). Due to pandemic, they were rate quality of life very good (n= 94, 43.9%), good (n= 63, 29.4 %) poor (n= 5, 2.3 %) and neither good and nor poor (n= 52, 24.3 %). During pandemic 96 participants feel no change in their weight but 110 participants respond that there is increase in coffee intake during the pandemic. Similarly increased in smoking habits and decrease rate in social activities (n=119,41.4%). The psychosomatic well-being of people has been interrupted by disturbing their social activities during pandemic.

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Preface

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2021年 1221 AISC卷 v-vi页

作者： Balas, Valentina Emilia Jain, Lakhmi C. Balas, Marius Mircea Shahbazova, Shahnaz N. "Aurel Vlaicu" University of Arad Faculty of Engineering Arad Romania Faculty of Engineering and Information Technology University of Technology Sydney Centre for Artificial Intelligence Sydney Australia Faculty of Engineering "Aurel Vlaicu" University of Arad Arad Arad Romania Department of Information Technology and Programming Azerbaijan Technical University Baku Azerbaijan

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An Efficient Algorithm to Solve the Conditional Covering Problem on Trapezoid Graphs

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International Scholarly Research Notices 2011年第1期2011卷

作者： Akul Rana Anita Pal Madhumangal Pal Department of Mathematics Narajole Raj College Paschim Medinipur Narajole 721 211 India Department of Mathematics National Institute of Technology Durgapur 713209 Indianitdgp.ac.in Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore 721 102 Indiavidyasagar.ac.in

Let G = ( V , E ) be a simple connected undirected graph. Each vertex v ∈ V has a cost c ( v ) and provides a positive coverage radius R ( v ). A distance d uv is associated with each edge { u , v } ∈ E, and d ( u , v ) is the shortest distance between every pair of vertices u , v ∈ V . A vertex v can cover all vertices that lie within the distance R ( v ), except the vertex itself. The conditional covering problem is to minimize the sum of the costs required to cover all the vertices in G . This problem is NP-complete for general graphs, even it remains NP-complete for chordal graphs. In this paper, an O ( n 2 ) time algorithm to solve a special case of the problem in a trapezoid graph is proposed, where n is the number of vertices of the graph. In this special case, d uv = 1 for every edge { u , v } ∈ E , c ( v ) = c for every v ∈ V ( G ), and R ( v ) = R , an integer >1, for every v ∈ V ( G ). A new data structure on trapezoid graphs is used to solve the problem.

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High performance Boson Sampling simulation via data-flow engines

arXiv

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arXiv 2023年

作者： Morse, Gregory Rybotycki, Tomasz Kaposi, Ágoston Kolarovszki, Zoltán Stojčić, Uroš Kozsik, Tamás Mencer, Oskar Oszmaniec, Michal Zimborás, Zoltán Rakyta, Péter Department of Programming Languages and Compilers Eötvös Loránd University Budapest Hungary AstroCeNT – Particle Astrophysics Science and Technology Centre – International Research Agenda Nicolaus Copernicus Astronomical Center Polish Academy of Sciences Warsaw Poland ACC Cyfronet University of Science and Technology Cracow Poland Systems Research Institute Polish Academy of Sciences Warsaw Poland Wigner Research Centre for Physics The Hungarian Academy of Sciences Budapest Hungary A Groq company 16192 Coastal Hwy Lewes United States Center for Theoretical Physics Polish Academy of Sciences Poland NASK National Research Institute ul. Kolska 12 Warszawa01-045 Poland Algorithmiq Ltd Kanavakatu Helsinki3C 00160 Finland Department of Physics of Complex Systems Eötvös Loránd University Budapest Hungary

In this work, we generalize the Balasubramanian-Bax-Franklin-Glynn (BB/FG) permanent formula to account for row multiplicities during the permanent evaluation and reduce the complexity of permanent evaluation in scenarios where such multiplicities occur. This is achieved by incorporating n-ary Gray code ordering of the addends during the evaluation. We implemented the designed algorithm on FPGA-based data-flow engines and utilized the developed accessory to speed up boson sampling simulations up to 40 photons, by drawing samples from a 60 mode interferometer at an averaged rate of ∼ 80 seconds per sample utilizing 4 FPGA chips. We also show that the performance of our BS simulator is in line with the theoretical estimation of Clifford & Clifford [1] providing a way to define a single parameter to characterize the performance of the BS simulator in a portable way. The developed design can be used to simulate both ideal and lossy boson sampling experiments. © 2023, CC BY.

关键词： Bosons

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Simulation of viscoelastic flow past circular airfoil by using the modified LS-STAG immersed boundary method

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Journal of Physics: Conference Series 2019年第1期1348卷

作者： Valeria V Puzikova Applied Mathematics Department Bauman Moscow State Technical University 2-ya Baumanskaya st. 5 str. 1 Moscow 105005 Russian Federation Compiler Technology Department Ivannikov Institute for System Programming of the RAS Alexander Solzhenitsyn st. 25 Moscow 109004 Russian Federation

The LS-STAG immersed boundary cut-cell method modification for viscoelastic flow computations is presented. Rate type viscoelastic flow models (linear and quasilinear) are considered. Rate type viscoelastic flow models (linear and quasilinear) are considered. The obtained numerical method is implemented in the LS-STAG software package developed by the author. This software allows to simulate viscous incompressible flows by using the LS-STAG method and it modifications. The LS-STAG-discretization of extra-stress equations for viscoelastic Maxwell, Jeffreys, upper-convected Maxwell, Maxwell-A, Oldroyd-B, Oldroyd-A, Johnson Segalman fluids was developed. Formulae for differential types of convected time derivatives (Oldroyd, Cotter — Rivlin, Jaumann — Zaremba — Noll derivatives) the LS-STAG discretization was obtained. Normal non-newtonian stresses are computed at the centers of base LS-STAG mesh cells and shear non-newtonian stresses are computed at the cell corners. Time-stepping algorithm is based on the first order predictor-corrector scheme. To validate developed numerical method the test problem about viscoelastic Oldroyd-B flow past a circular airfoil was used. Computational experiments were carried out at Weissenberg number in the range from 0 to 4. The computed values of the drag coefficients and the wake length are in good agreement with the experimental data.

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The parameters impact on cutting forces and determination of regression function

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IOP Conference Series: Materials Science and Engineering 2016年第1期161卷

作者： T D Popovici Department of Manufacturing Engineering The faculty of Engineering and Management of Technological Systems University Politehnica Bucharest 313 Splaiul Independentei Sector 6 Bucharest Romania Department of CN Programming and Technology Research Romanian Research & Development Institute for Gas Turbine 220 D Iuliu Maniu Bd. Sector 6 Bucharest Romania

The aim of this paper is to present results of certain experiments related to material workability characteristics, taking into consideration its high quality features and large usability for special manufacturing. It is highly used in various industrial processes, such as aeronautics, petrochemical industry, chemical industry, etc. It was examined the influence of milling parameters upon the three dimensional cutting force and after it was determinate regression function.

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Prevention of Japanese encephalitis with different control strategies considering environmental effects: A mathematical study

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AIP Conference Proceedings 2023年第1期2718卷

作者： K. Barman K. Maity R. N. Giri A. De Department of Mathematics Prabhat Kumar College Contai Purba Medinipur - 721404 West Bengal India Department of Mathematics Mugberia Gangadhar Mahavidyalaya Bhupatinagar Purba Medinipur-721425 W.B. India Department of Applied Mathematics with Oceonology and Computer Programming Vidyasagar University Midnapore 721102 India Department of Applied Sciences Haldia Institute of Technology Purba Medinipur - 721657 West Bengal India

Japanese encephalitis (JE), a public health problem for the entire world, is caused by a virus called Japanese encephalitis virus (JEV) which is spread by mosquitoes. According to WHO’s report, nearly 68000 clinical cases of JE are reported globally each year and approximately 13600 to 20400 are deaths. Here, a mathematical model of JE is formulated considering different control measures such as vaccination, treatment, insecticide and efforts to reduce environmental discharges. An explicit expression of basic reproduction number is formulated and the stability of disease-free and endemic equilibrium of the system is analyzed. In this paper, we have formulated an optimal control problem and analyzed different strategies considering the minimum cost for applying such strategies. We have investigated the results of fixed control for endemic equilibrium both numerically and graphically. We have solved the optimal problem numerically when control parameters are time-dependent by applying Runge-Kutta 4th order forward and backward method and presented graphically. In our present work, we discussed the best cost-effective control strategy to prevent Japanese encephalitis when we consider environmental discharges have a positive impact on the breeding of mosquitoes and the growth of the pig population.

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CLEER - AN AI-SYSTEM DEVELOPED TO ASSIST EQUIPMENT ARRANGEMENTS ON WARSHIPS

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NAVAL ENGINEERS JOURNAL 1989年第3期101卷 127-137页

作者： ZHOU, HH SILVERMAN, BG SIMKOL, J Dr. H. Harry Zhou:is a research professor at the Institute for Artificial Intelligence of The George Washington University. Dr. Zhou received his master's degree and Ph.D. in computer science from Vanderbilt University in 1984 and 1987 respectively. He did his dissertation in the fields of artificial intelligence analogical reasoning and machine learning. His research interests include: classifier systems genetic algorithms learning by analogy inductive learning adaptive expert systems automated knowledge acquisition and adaption. He is also interested in data base design programming languages mental modeling and software engineering. Dr. Barry G. Silverman:is director of the Institute for Artificial Intelligence and a professor at the Engineering Administration Department of The George Washington University. He is also president of IntelliTek Inc. an AI consulting firm. Dr. Silverman received the B.S.E. M.S.E. and Ph.D. degrees from the University of Pennsylvania. He has been a principal developer of four generic AI products as well as eight AI applications. Since 1979 he has written over 100 papers and reports on these AI efforts. Joel Simkol:is a research scientist currently engaged in designing expert system architectures to support electronic warfare vulnerability analyses threat assessments shipboard topside antenna arrangements and C3countermeasures employment. Mr. Simkol's work in applying expert systems technology to electromagnetic interference and to spectrum management has generated increased interest and participation from all branches of government agencies.

This paper describes a modularized AI system being built to help improve electromagnetic compatibility (EMC) among shipboard topside equipment and their associated systems. CLEER is intended to act as an easy to use integrator of existing expert knowledge and pre-existing data bases and large scale analytical models. Due to these interfaces; to the need for portability of the software; and to artificial intelligence related design requirements (such as the need for spatial reasoning, expert data base management, model base management, track-based reasoning, and analogical (similar ship) reasoning) it was realized that traditional expert system shells would be inappropriate, although relatively off-the-shelf AI technology could be incorporated. In the same vein, the rapid prototyping approach to expert system design and knowledge engineering was not pursued in favor of a rigorous systems engineering methodology. The critical design decisions affecting CLEER's development are summarized in this paper along with lessons learned to date all in terms of “how,” “why,” and “when” specific features are being developed.

关键词： Artificial Intelligence

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Concurrent simulation of neutral flow in the GEC reference cell

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Concurrency and Computation: Practice and Experience 2000年第1期12卷

作者： Marc Rieffel Mikhail Ivanov Sadasivan Shankar Stephen Taylor Scalable Concurrent Programming Laboratory -120 CST Syracuse University Syracuse NY 13244 U.S.A. Institute for Theoretical and Applied Mechanics Russian Academy of Sciences Siberian Branch Russia Technology CAD Department Intel Corporation RN 2-40 2200 Mission College Blvd Santa Clara CA 95054 U.S.A.

This paper describes computational techniques for concurrent Direct Simulation Monte Carlo (DSMC) of neutral flow inside three-dimensional plasma reactors. These techniques are designed to reduce the overall time to obtain realistic three-dimensional results. A simulation problem is first defined by automatically generating a tetrahedral grid. This grid is statically partitioned in order to achieve scalable memory utilization. Parallel algorithms allow high-performance multicomputer architectures to be leveraged to reduce simulation time. Adaptive gridding techniques are employed to maintain the desired accuracy in the presence of dynamic flow variations. Load balancing algorithms, based on heat diffusion, are used to maximize efficiency. Finally, automatic granularity control is used to ensure appropriate granularity for load balancing and for maximum processor utilization. Simulation results are presented for a simulation of the GEC reference cell in a flow configuration of industrial relevance. Performance results are presented for large-scale multicomputers, symmetric multiprocessors and networks of PCs. Copyright © 2000 John Wiley & Sons, Ltd.

关键词： DSMC concurrent programming load balancing granularity control parallel processing plasma simulation

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CN93 Quality of life scale-based machine learning approach to predict immunotherapy response in patients with advanced non-small cell lung cancer

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Annals of Oncology 2024年 35卷 S1197-S1197页

作者： J. Shen J. Ma S. Chen Q. Li S-H. Jin C. Zhang H. wang X. Chen F. Tan X. Tian H. Zhang G. Pan U. Gaipl H. Ma J-G. Zhou Department of Oncology The Second Affiliated Hospital of Zunyi Medical University Zunyi China Department of Thoracic Surgery Affiliated Hospital of Zunyi Medical UNiversity Zunyi China Nursing Department Affiliated Hospital of Zunyi Medical UNiversity Zunyi China Department of Orthodontics Affiliated Stomatological Hospital of Zunyi Medical University Zunyi China Oncology Biometrics UM - University of Macau Taipa Macau China Oncology Biometrics Department of Biostat & Programming Bridgewater NJ USA Harrisburg University of Science and Technology Harrisburg University of Science and Technology Harrisburg PA USA Translational Radiobiology Universität Erlangen-Nürnberg Nürnberg Germany Department of Oncology Zunyi Medical College Affiliated Hospital Zunyi China

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