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Comparison and Analysis of Algorithms for the 0/1 Knapsack Problem

Journal of Physics: Conference Series 2018年第1期1069卷

作者： Xiaohui Pan Tao Zhang Computer Course Teaching Department Shanghai University of Political Science and Law Shanghai China 201701 Shanghai Institute for Advanced Communication and Data Science Shanghai China 200444 Department of Computer Engineering and Science Shanghai University Shanghai China 200444

The 0/1 knapsack problem is a typical problem in the field of operational research and combinatorial optimization, and it belongs to the NP problem. Research on the solutions of the 0/1 knapsack problem algorithm has very important practical value. This paper first described the 0/1 knapsack problem, and then presented the algorithm analysis, design and implementation of the 0/1 knapsack problem using the brute force algorithm, the greedy algorithm, the genetic algorithm and the dynamic programming algorithm, and compared the four algorithms in terms of algorithm complexity and accuracy. On this basis, the future research directions of the 0/1 knapsack problem were analysed, and we proposed to use the rough set theory to solve the 0/1 knapsack problem. This paper can provide insight for solving the 0/1 knapsack problem and applications.

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Effects of sodium tanshinone IIA sulfonate on oxidative stress and apoptosis in a mouse model of tumor and sleep apnea

Effects of sodium tanshinone IIA sulfonate on oxidative stre...

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中国睡眠研究会第十届全国学术年会

作者： Xiao-Bin Zhang Mao-Hong Huang Mu-Yun Guo Hui-Qing Zeng Yi-Ming Zeng Bin-Bin Fu Ying Wu Yan-Ping Du Li-Da Chen Xiongbdiao Luo Department of Respiratory Medicine Zhongshan HospitalXiamen UniversityTeaching Hospital of Fujian Medical University Second Clinical Medical College of Fujian Medical University Department of Respiratory and Critical Care Medicinethe Second Affiliated Hospital of Fujian Medical UniversityCenter of Respiratory Medicine of Fujian Province Department of Respiratory Medicine Zhangzhou Affiliated Hospital of Fujian Medical University Department of Computer Science Xiamen University

Background: Obstructive sleep apnea(OSA) is closely associated with cancer incidence and *** of oxidative stress and apoptosis were commonly seen both in cancer and OSA *** aim of the present study was to determine the effect of sodium tanshinone IIA sulfonate(TSA) on tumor oxidative stress and apoptosis in a mouse model of intermittent hypoxia(IH),a novel feature of *** and methods: Forty-eight male C57 BL/6 J mice were randomly assigned to four groups: control(normoxia) group(CTL),control plus TSA(CTL+TSA) group,IH group,and IH plus TSA(IH+TSA) *** in IH and IH+TSA groups were subjected to IH 8 hours/per day for 5 *** was intraperitoneally injected(10 mg/kg) daily after tumor grew to 200 mm3 in CTL+TSA and IH+TSA *** oxidative stress indexes,malondialdehyde(MDA) and superoxide dismutase(SOD),were *** deoxynucleotidyl transferase dUTP nick-end labeling(TUNEL) assay and western blotting of Bax,Caspase-3 were conducted for evaluating ***: Compared with CTL group,mice exposed to IH had higher MDA and lower SOD levels,and the TUNEL-positive cell rate,Bax and Caspase-3 expression levels were decreased in IH *** treatment with TSA,the MDA levels were decreased while SOD levels were increased,and the TUNEL-positive cell rate,Bax and Caspase-3 protein levels were ***: The therapeutic effects of TSA were more significant under IH *** contributes to high oxidative stress and low apoptosis in tumor bearing *** appears to improve IH-induced oxidative stress and apoptosis.

关键词： intermittent hypoxia tumor sodium tanshinone IIA sulfonate oxidative stress apoptosis

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Quantum computing at the frontiers of biological sciences

arXiv

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arXiv 2019年

作者： Emani, Prashant S. Warrell, Jonathan Anticevic, Alan Bekiranov, Stefan Gandal, Michael McConnell, Michael J. Sapiro, Guillermo Aspuru-Guzik, Alán Baker, Justin Bastiani, Matteo McClure, Patrick Murray, John Sotiropoulos, Stamatios N. Taylor, Jacob Senthil, Geetha Lehner, Thomas Gerstein, Mark B. Harrow, Aram W. Program in Computational Biology and Bioinformatics Yale University New HavenCT06520 United States Department of Molecular Biophysics and Biochemistry Yale University New HavenCT06520 United States Yale School of Medicine Department of Psychiatry New HavenCT06511 United States University of Virginia School of Medicine Department of Biochemistry and Molecular Genetics CharlottesvilleVA22903 United States Department of Psychiatry Semel Institute David Geffen School of Medicine University of California–Los Angeles 695 Charles E. Young Drive South Los AngelesCA90095 United States Univ. of Virginia School of Medicine Department of Neuroscience CharlottesvilleVA22903 United States Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States Department of Chemistry University of Toronto 80 St. George Street TorontoONM5S 3H6 Canada TorontoONM5S 1M1 Canada CIFAR Artificial Intelligence Research Chair Vector Institute TorontoONM5S 1M1 Canada Department of Computer Science University of Toronto 40 St. George Street TorontoONM5S 2E4 Canada Schizophrenia and Bipolar Disorder Program McLean Hospital BelmontMA02478 United States Department of Psychiatry Harvard Medical School BostonMA02114 United States Sir Peter Mansfield Imaging Centre School of Medicine University of Nottingham NottinghamNG7 2RD United Kingdom Machine Learning Team National Institute of Mental Health BethesdaMD20892 United States Section on Functional Imaging Methods National Institute of Mental Health BethesdaMD20892 United States Department of Psychiatry Yale University School of Medicine New HavenCT06511 United States Department of Physics Yale University New HavenCT06511 United States Joint Center for Quantum Information and Computer Science University of Maryland College ParkMD20742 United States National Institute of Standards and Technology GaithersburgMD20899 United States Office of Genomics Research Coordination N

The search for meaningful structure in biological data has relied on cutting-edge advances in computational technology and data science methods. However, challenges arise as we push the limits of scale and complexity in biological problems. Innovation in massively parallel, classical computing hardware and algorithms continues to address many of these challenges, but there is a need to simultaneously consider new paradigms to circumvent current barriers to processing speed. Accordingly, we articulate a view towards quantum computation and quantum information science, where algorithms have demonstrated potential polynomial and exponential computational speedups in certain applications, such as machine learning. The maturation of the field of quantum computing, in hardware and algorithm development, also coincides with the growth of several collaborative efforts to address questions across length and time scales, and scientific disciplines. We use this coincidence to explore the potential for quantum computing to aid in one such endeavor: the merging of insights from genetics, genomics, neuroimaging and behavioral phenotyping. By examining joint opportunities for computational innovation across fields, we highlight the need for a common language between biological data analysis and quantum computing. Ultimately, we consider current and future prospects for the employment of quantum computing algorithms in the biological sciences. Copyright © 2019, The Authors. All rights reserved.

关键词： Machine learning

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Global, regional, and national burden of mortality associated with short-term temperature variability from 2000–19: a three-stage modelling study

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The Lancet Planetary Health 2022年第5期6卷 e410-e421页

作者： Wu, Yao Li, Shanshan Zhao, Qi Wen, Bo Gasparrini, Antonio Tong, Shilu Overcenco, Ala Urban, Aleš Schneider, Alexandra Entezari, Alireza Vicedo-Cabrera, Ana Maria Zanobetti, Antonella Analitis, Antonis Zeka, Ariana Tobias, Aurelio Nunes, Baltazar Alahmad, Barrak Armstrong, Ben Forsberg, Bertil Pan, Shih-Chun Íñiguez, Carmen Ameling, Caroline De la Cruz Valencia, César Åström, Christofer Houthuijs, Danny Van Dung, Do Royé, Dominic Indermitte, Ene Lavigne, Eric Mayvaneh, Fatemeh Acquaotta, Fiorella Rao, Shilpa Sera, Francesco Carrasco-Escobar, Gabriel Kan, Haidong Orru, Hans Kim, Ho Holobaca, Iulian-Horia Kyselý, Jan Madureira, Joana Schwartz, Joel Jaakkola, Jouni J K Katsouyanni, Klea Hurtado Diaz, Magali Ragettli, Martina S Hashizume, Masahiro Pascal, Mathilde de Sousa Zanotti Stagliorio Coélho, Micheline Ortega, Nicolás Valdés Ryti, Niilo Scovronick, Noah Michelozzi, Paola Correa, Patricia Matus Goodman, Patrick Nascimento Saldiva, Paulo Hilario Abrutzky, Rosana Osorio, Samuel Dang, Tran Ngoc Colistro, Valentina Huber, Veronika Lee, Whanhee Seposo, Xerxes Honda, Yasushi Guo, Yue Leon Bell, Michelle L Guo, Yuming Department of Epidemiology and Preventive Medicine School of Public Health and Preventive Medicine Monash University Melbourne VIC Australia Climate Air Quality Research Unit School of Public Health and Preventive Medicine Monash University Melbourne VIC Australia Department of Epidemiology School of Public Health Cheeloo College of Medicine Shandong University Jinan China Department of Public Health Environments and Society London School of Hygiene & Tropical Medicine UK London United Kingdom Centre for Statistical Methodology London School of Hygiene & Tropical Medicine UK London United Kingdom Centre on Climate Change & Planetary Health London School of Hygiene & Tropical Medicine UK London United Kingdom Shanghai Children's Medical Centre Shanghai Jiao Tong University Shanghai China School of Public Health Institute of Environment and Population Health Anhui Medical University Hefei China Center for Global Health Nanjing Medical University Nanjing China School of Public Health and Social Work Queensland University of Technology Brisbane QLD Australia National Agency for Public Health of the Ministry of Health Labour and Social Protection of the Republic of Moldova Chișinău Moldova Institute of Atmospheric Physics Czech Academy of Sciences Prague Czech Republic Faculty of Environmental Sciences Czech University of Life Sciences Prague Czech Republic Institute of Epidemiology Helmholtz Zentrum München—German Research Center for Environmental Health Neuherberg Germany Faculty of Geography and Environmental Sciences Hakim Sabzevari University Sabzevar Iran Institute of Social and Preventive Medicine University of Bern Bern Switzerland Oeschger Center for Climate Change Research University of Bern Bern Switzerland Department of Environmental Health Harvard TH Chan School of Public Health Harvard University Boston MA United States Department of Hygiene Epidemiology and Medical Statistics National and Kapodistrian University of Athens Athens Gr

Background: Increased mortality risk is associated with short-term temperature variability. However, to our knowledge, there has been no comprehensive assessment of the temperature variability-related mortality burden worldwide. In this study, using data from the MCC Collaborative Research Network, we first explored the association between temperature variability and mortality across 43 countries or regions. Then, to provide a more comprehensive picture of the global burden of mortality associated with temperature variability, global gridded temperature data with a resolution of 0·5° × 0·5° were used to assess the temperature variability-related mortality burden at the global, regional, and national levels. Furthermore, temporal trends in temperature variability-related mortality burden were also explored from 2000–19. methods: In this modelling study, we applied a three-stage meta-analytical approach to assess the global temperature variability-related mortality burden at a spatial resolution of 0·5° × 0·5° from 2000–19. Temperature variability was calculated as the SD of the average of the same and previous days’ minimum and maximum temperatures. We first obtained location-specific temperature variability related-mortality associations based on a daily time series of 750 locations from the Multi-country Multi-city Collaborative Research Network. We subsequently constructed a multivariable meta-regression model with five predictors to estimate grid-specific temperature variability related-mortality associations across the globe. Finally, percentage excess in mortality and excess mortality rate were calculated to quantify the temperature variability-related mortality burden and to further explore its temporal trend over two decades. Findings: An increasing trend in temperature variability was identified at the global level from 2000 to 2019. Globally, 1 753 392 deaths (95% CI 1 159 901–2 357 718) were associated with temperature variability per year, accounting for

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Social and moral psychology of COVID-19 across 69 countries

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Scientific data 2023年第1期10卷 272页

作者： Flavio Azevedo Tomislav Pavlović Gabriel G Rêgo F Ceren Ay Biljana Gjoneska Tom W Etienne Robert M Ross Philipp Schönegger Julián C Riaño-Moreno Aleksandra Cichocka Valerio Capraro Luca Cian Chiara Longoni Ho Fai Chan Jay J Van Bavel Hallgeir Sjåstad John B Nezlek Mark Alfano Michele J Gelfand Michèle D Birtel Aleksandra Cislak Patricia L Lockwood Koen Abts Elena Agadullina John Jamir Benzon Aruta Sahba Nomvula Besharati Alexander Bor Becky L Choma Charles David Crabtree William A Cunningham Koustav De Waqas Ejaz Christian T Elbaek Andrej Findor Daniel Flichtentrei Renata Franc June Gruber Estrella Gualda Yusaku Horiuchi Toan Luu Duc Huynh Agustin Ibanez Mostak Ahamed Imran Jacob Israelashvili Katarzyna Jasko Jaroslaw Kantorowicz Elena Kantorowicz-Reznichenko André Krouwel Michael Laakasuo Claus Lamm Caroline Leygue Ming-Jen Lin Mohammad Sabbir Mansoor Antoine Marie Lewend Mayiwar Honorata Mazepus Cillian McHugh John Paul Minda Panagiotis Mitkidis Andreas Olsson Tobias Otterbring Dominic J Packer Anat Perry Michael Bang Petersen Arathy Puthillam Tobias Rothmund Hernando Santamaría-García Petra C Schmid Drozdstoy Stoyanov Shruti Tewari Bojan Todosijević Manos Tsakiris Hans H Tung Radu G Umbres Edmunds Vanags Madalina Vlasceanu Andrew Vonasch Meltem Yucel Yucheng Zhang Mohcine Abad Eli Adler Narin Akrawi Hamza Alaoui Mdarhri Hanane Amara David M Amodio Benedict G Antazo Matthew Apps Mouhamadou Hady Ba Sergio Barbosa Brock Bastian Anton Berg Maria P Bernal-Zárate Michael Bernstein Michał Białek Ennio Bilancini Natalia Bogatyreva Leonardo Boncinelli Jonathan E Booth Sylvie Borau Ondrej Buchel C Daryl Cameron Chrissie F Carvalho Tatiana Celadin Chiara Cerami Hom Nath Chalise Xiaojun Cheng Kate Cockcroft Jane Conway Mateo Andres Córdoba-Delgado Chiara Crespi Marie Crouzevialle Jo Cutler Marzena Cypryańska Justyna Dabrowska Michael A Daniels Victoria H Davis Pamala N Dayley Sylvain Delouvée Ognjan Denkovski Guillaume Dezecache Nathan A Dhaliwal Alelie B Diato Roberto Di Paolo Marianna Drosinou Uwe Dulleck Jānis Ekmanis Department of Psychology University of Cambridge Cambridge England. fa441@cam.ac.uk. Institute of Communication Science Friedrich-Schiller University Jena Jena Germany. fa441@cam.ac.uk. Institute of Social Sciences Ivo Pilar Zagreb Croatia. Social and Cognitive Neuroscience Laboratory Mackenzie Presbyterian University São Paulo Brazil. Department of Economics Norwegian School of Economics Bergen Norway. Telenor Research Oslo Norway. Macedonian Academy of Sciences and Arts Skopje Republic of North Macedonia. Kieskompas - Election Compass Amsterdam Netherlands. Department of Political Science & Annenberg School for Communication University of Pennsylvania Philadelphia PA USA. Department of Psychology Macquarie University Sydney NSW Australia. Department of Philosophy University of St Andrews St Andrews Scotland. School of Economics and Finance University of St Andrews St Andrews Scotland. Medicine Faculty Cooperative University of Colombia Villavicencio Colombia. Department of Bioethics El Bosque University Bogotá Colombia. School of Psychology University of Kent Canterbury England. Department of Economics Middlesex University London London England. Darden School of Business University of Virginia Charlottesville VA USA. Questrom School of Business Boston University Boston MA USA. School of Economics and Finance Queensland University of Technology Brisbane QLD Australia. Center for Behavioural Economics Society and Technology Queensland University of Technology Brisbane QLD Australia. Department of Psychology and Neural Science New York University New York NY USA. Department of Strategy and Management Norwegian School of Economics Bergen Norway. SWPS University of Social Sciences and Humanities Warsaw Poland. Department of Psychological Sciences College of William and Mary Williamsburg VA USA. Department of Philosophy Macquarie University Sydney NSW Australia. Stanford Graduate School of Business Stanford University Stanford CA USA.

The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public health behaviour, we present a dataset comprising of 51,404 individuals from 69 countries. This dataset was collected for the International Collaboration on Social & Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of moral and psychological measures and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours; identity and social attitudes; ideology; health and well-being; moral beliefs and motivation; personality traits; and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables.

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Complex contact manifolds, varieties of minimal rational tangents, and exterior differential systems

arXiv

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arXiv 2018年

作者： Buczynski, Jaroslaw Moreno, Giovanni Institute of Mathematics of Polish Academy of Sciences ul. Sniadeckich 8 Warszawa00-656 Poland Faculty of Mathematics Computer Science and Mechanics University of Warsaw ul. Banacha 2 Warszawa02-097 Poland Department of Mathematical Methods in Physics Faculty of Physics University of Warsaw ul. Pasteura 5 Warszawa02-093 Poland

Complex contact manifolds arise naturally in differential geometry, algebraic geometry and exterior differential systems. Their classification would answer an important question about holonomy groups. The geometry of such manifold X is governed by the contact lines contained in X. These are related to the notion of a variety of minimal rational tangents. In this review we discuss the partial classification theorems of projective complex contact manifolds. Among such manifolds one finds contact Fano manifolds (which include adjoint varieties) and projectivised cotangent bundles. In the first case we also discuss a distinguished contact cone structure, arising as the variety of minimal rational tangents. We discuss the repercussion of the aforementioned classification theorems for the geometry of quaternion- Kähler manifolds with positive scalar curvature and for the geometry of second-order PDEs imposed on *** Codes 14M17, 53D10, 14M20, 53C26, 58A15 Copyright © 2018, The Authors. All rights reserved.

关键词： Geometry

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A new PET diagnostic indicator based on the ratio of 3γ/2γ positron annihilation

A new PET diagnostic indicator based on the ratio of 3γ/2γ...

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作者： Jasińska, Bozena Moskal, Pawel Department of Nuclear Methods Institute of Physics Maria Curie-Sklodowska University Pl. M. Curie-Sklodowskiej 1 Lublin20-031 Poland Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Lojasiewicza 11 Kraków30-348 Poland

The idea of applying the ratio of 3γ and 2γ positron annihilation rate as a diagnostic indicator in the PET imaging is proposed. It is based on the fact that the 3γ annihilation is related to the decay rate of triplet state of positronium atoms produced inside the human body during the PET imaging, and it reflects the size and the concentration of free volumes present in the investigated tissues. The tissues deformation related to the cancerous changes are expected to influence the local value of the 3 fraction.

关键词： Tissue

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Putting a positive spin on ethics teaching

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International Journal of Ethics Education 2018年第2期3卷 125-133页

作者： Ben-Jacob, Marion G. Jones, Nancy L. Brock, Robert W. Moore, Kathleen H. Ndebele, Paul Thabane, Lehana Division of Mathematics and Computer Sciences Mercy College NY USA Health Science Administrator National Institute on Minority Health and Health Disparities National Institute of Health Bethesda USA Physiology Pharmacology & Neuroscience West Virginia University School of Medicine Morgantown USA College of Arts and Sciences Oakland University Rochester USA Medical Research Council of Zimbabwe Harare Zimbabwe Department of Health Research Methods Evidence and Impact McMaster University Biostatics Unit/FSORC Hamilton Canada

Scientific endeavor is the pursuit of knowledge with the aim of advancing the welfare of all human beings. This endeavor is built on the ideology of science; thus, society relies on the integrity of the practice of science and of scientists themselves. The responsible conduct of research (RCR) is the essence of good science; however, many of the pedagogical approaches used to instill integrity in science accentuate the negative rather than exemplify ideal professionalism. This paper makes an argument for the inculcation of the appropriate conduct of research via a positive approach. We address the acclimation to the culture of science that supersedes diverse cultural backgrounds of students. We suggest techniques for the implementation of positive strategies and reinforce the benefit of approaching the teaching of ethical behavior as a competitive advantage. We highlight ways in which this approach can empower the individual scientist and the scientific community as a whole. Transmission of the culture of scientific professionalism formalizes the aims of an ideal scientific professional and encourages assimilation and identification as a member of the scientific profession. We purport that instilling scientific professionalism will spur responsible conduct of research.

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Semi-wavefront solutions in models of collective movements with density-dependent diffusivity

arXiv

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arXiv 2017年

作者： Corli, Andrea Malaguti, Luisa Department of Mathematics and Computer Science University of Ferrara I-44121 Italy Department of Sciences and Methods for Engineering University of Modena and Reggio Emilia I-42122 Italy

This paper deals with a nonhomogeneous scalar parabolic equation with possibly degenerate diffusion term;the process has only one stationary state. The equation can be interpreted as modeling collective movements (crowd dynamics, for instance). We first prove the existence of semi-wavefront solutions for every wave speed;their properties are investigated. Then, a family of travelling wave solutions is constructed by a suitable combination of the previous semi-wavefront solutions. Proofs exploit comparison-type techniques and are carried out in the case of one spatial variable;the extension to the general case is *** Codes 35K65, 35C07, 35K55, 35K57 35K65, 35C07, 35K55, 35K57 35K65, 35C07, 35K55, 35K57 35K65 (Primary), 35C07, 35K55 (Secondary) Copyright © 2017, The Authors. All rights reserved.

关键词： Wavefronts

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Accurate mixed weibu II distribution fitting by differential evolution

Accurate mixed weibu II distribution fitting by differential...

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2017 Genetic and Evolutionary Computation Conference, GECCO 2017

作者： Kromer, Pavel Heckenbergerova, Jana Musilek, Petr Department of Computer Science VSB-Technical University of Ostrava 17. listopadu 2172/15 Ostrava708 00 Czech Republic Inst. of Mathematics and Quantitative Methods University of Pardubice Studentska 95 Pardubice532 10 Czech Republic Dept. of Electrical and Computer Engineering University of Alberta 9211-116 Street NW EdmontonABT6G 1H9 Canada

ISBN: (纸本)9781450349208

Mixed Weibull distribution is a probability distribution noted for its wide applicability in many diverse fields. The ability to accurately estimate mixed distribution parameters is essential for data-driven modeling, simulation, and analysis of the phenomena represented by mixed Weibull models. Nature-inspired metaheuristics for continuous parameter optimization have shown good potential for approximating parameters of complex statistical models. Differential evolution is a popular evolutionary real-parameter optimization method with good results in many areas. This work uses differential evolution to fit mixed Weibull distribution to data and analyzes the ability of different differential evolution variants to estimate mixture parameters. © 2017 ACM.

关键词： Optimization

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