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Social and moral psychology of COVID-19 across 69 countries

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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Study of Continuous Blood Pressure Measurement Based on Single lead Pulse Wave

Study of Continuous Blood Pressure Measurement Based on Sing...

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2017 2nd International Conference on Materials science,Machinery and Energy engineering(MSMEE 2017)

作者： Gang Zheng Lin-Lin Fan Jia Qi Tianjin Key Laboratory of Intelligent Computing and Software New Technology Tianjin University of technology School of computer science and engineering Tianjin University of technology

In order to achieve a non-invasive continuous measurement of blood pressure, a method of establishing a nonlinear blood pressure estimation model by BPNN(Back Propagation Neural Network)was proposed. By acquiring pulse wave, systolic and diastolic blood pressure value of every heart beat cycle were calculated based on the model, and continuous blood pressure was gotten as consequence. Experiments were done on 25 healthy young students and 33 patients in the ICU ward that introduced from MIMIC public database. Experiment result show that 95% systolic values and 96% diastolic values of health group were in confidence interval respectively, and that of patient group were 96.7% in systolic value and 95% in diastolic value respectively. And the blood pressure values measured by the proposed model met AAMI standard.

关键词： Pulse Wave Continuous Blood Pressure Measurement BPNN MIMIC

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A Speed Hump Sensing Approach to Global Positioning in Urban Cities without Gps Signals

A Speed Hump Sensing Approach to Global Positioning in Urban...

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International Conference on Smart Computing (SMARTCOMP)

作者： Qiuxia Chen Dongdong Ding Xu Wang Alex X. Liu Ali Munir School of Automotive and Transportation Engineering Shenzhen Polytechnic Department of Computer Science and Engineering Shanghai Jiao Tong University School of Software Tsinghua University Department of Computer Science and Engineering Michigan State University

ISBN: (纸本)9781509065189

Outdoor localization is of great importance for driving navigation, attracting many research efforts in past decades. Prevailing GPS achieves meter-level localization accuracy under general outdoor conditions. Yet, GPS service performs poorly in urban canyons where skyscrapers blocks GPS signals and drain mobile phone battery quickly within few hours. In this work, we exploit common city facilities, i.e. speed humps, as an indicator for vehicle location. The key insight is that when the vehicle passes through the speed bump, it experiences significant fluctuations, causing larger acceleration in the vertical direction. On this basis, we design a localization scheme that utilizes the accelerator equipped on modern smart phones to track sequence of speed bumps, which is further transferred into sequence of moving directions of the vehicle, and adopt effective road mapping technology to derive real-time location. As we have concerned, it is the first attempt to exploit the spatiotemporal characteristics generated by the speed humps to recover the trajectory of the travelling route and infer the current position. Experimental results in typical outdoor environment (campus) demonstrate a comparable performance with GPS method, yet achieve lower energy consumption.

关键词： Global Positioning System Smart phones Sensors Trajectory Roads Accelerometers Acceleration

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Triangulated surface denoising using high order regularization with dynamic weights

arXiv

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arXiv 2017年

作者： Liu, Zheng Lai, Rongjie Zhang, Huayan Wu, Chunlin National Engineering Research Center of Geographic Information System China University of Geosciences Wuhan China Department of Mathematics Rensselaer Polytechnic Institute United States School of Computer Science and Software Tianjin Polytechnic University Tianjin China School of Mathematical Sciences Nankai University Tianjin China

Recovering high quality surfaces from noisy triangulated surfaces is a fundamental important problem in geometry processing. Sharp features including edges and corners can not be well preserved in most existing denoising methods except the recent total variation (TV) and 0regularization methods. However, these two methods have su ered producing staircase artifacts in smooth regions. In this paper, we first introduce a second order regularization method for restoring a surface normal vector field, and then propose a new vertex updating scheme to recover the desired surface according to the restored surface normal field. The proposed model can preserve sharp features and simultaneously suppress the staircase effects in smooth regions which overcomes the drawback of the first order models. In addition, the new vertex updating scheme can prevent ambiguities introduced in existing vertex updating methods. Numerically, the proposed high order model is solved by the augmented Lagrangian method with a dynamic weighting strategy. Intensive numerical experiments on a variety of surfaces demonstrate the superiority of our method by visually and quantitatively. Copyright © 2017, The Authors. All rights reserved.

关键词： Numerical methods

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VFlash: Virtualized Flash for Optimizing the I/O Performance in Mobile Devices

VFlash: Virtualized Flash for Optimizing the I/O Performance...

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作者： Chen, Renhai Wang, Yi Hu, Jingtong Liu, Duo Shao, Zili Guan, Yong Beijing Advanced Innovation Center for Imaging Technology Beijing100048 China College of Information Engineering Capital Normal University Beijing China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China School of Electrical and Computer Engineering Oklahoma State University StillwaterOK74074 United States College of Computer Science Chongqing University Chongqing400044 China Embedded Systems and CPS Laboratory Department of Computing Hong Kong Polytechnic University Hong Kong

I/O is becoming one of major performance bottlenecks in NAND-flash-based mobile devices. Novel nonvolatile memories (NVMs), such as phase change memory and spin-transfer torque random access memory, can provide fast read/write operations. In this paper, we propose a unified NVM/flash architecture to improve the I/O performance. A transparent scheme, virtualized flash (vFlash), is also proposed to manage the unified architecture. Within vFlash, interapp and intra-app techniques are proposed to optimize the application performance by exploiting the historical locality and I/O access patterns of applications. Since vFlash is on the bottom of the I/O stack, the application features will be lost. Therefore, we also propose a cross-layer technique to transfer the application information from the application layer to the vFlash layer. The proposed scheme is evaluated based on an Android platform, and the experimental results show that the proposed scheme can effectively improve the I/O performance of mobile devices. © 1982-2012 IEEE.

关键词： Phase change memory

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Delay optimization scheduling algorithm in cognitive radio networks

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Journal of Beijing Institute of Technology 2016年第2期25卷 271-277页

作者：柴争义汪宏海 School of Computer Science and Software Engineering Tianjin Polytechnic UniversityTianjin 300384China Department of Mathematics and Information Science Zhoukou Normal UniversityZhoukou 455001China Tourism College of Zhejiang China Hangzhou 311231China

In cognitive radio networks,delay scheduling optimization has attracted an increasing attention in recent years. Numerous researches have been performed on it with different scenarios. However,these approaches have either high computational complexity or relatively poor performance. Delay scheduling is a constraint optimization problem with non-deterministic polynomial（ NP） hard feathers. In this paper,we proposed an immune algorithm-based suboptimal method to solve the problem. Suitable immune operators have been designed such as encoding,clone,mutation and selection. The simulation results show that the proposed algorithm yields near-optimal performance and operates with much lower computational complexity.

关键词： cognitive radio networks delay scheduling immune algorithm interference temperature

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360◦ Panorama cloning on sphere

arXiv

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arXiv 2017年

作者： Zhao, Qiang Wan, Liang Feng, Wei Zhang, Jiawan Wong, Tien-Tsin Institute of Computing Technology Chinese Academy of Sciences China School of Computer Software Tianjin University China School of Computer Science and Technology Tianjin University China Dept. of Computer Science and Engineering Chinese University of Hong Kong

In this paper, we address a novel problem of cloning a patch of the source spherical panoramic image to the target spherical panoramic image, which we call 360◦ panorama cloning. Considering the sphere geometry constraint embedded in spherical panoramic images, we develop a coordinate-based method that directly clones in the spherical domain. Our method neither differentiates the polar regions and equatorial regions, nor identifies the boundaries in the unrolled planar-formatted panorama. We discuss in depth two unique issues in panorama cloning, i.e. preserving the patch's orientation, and handling the large-patch cloning (covering over 180◦ field-of-view) which may suffer from discoloration artifacts. As experimental results demonstrate, our method is able to get visually pleasing cloning results and achieve real time cloning performance. Copyright © 2017, The Authors. All rights reserved.

关键词： Spheres

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Image Retrieval Algorithm based on Compressed Sensing and Dictionary Learning Methods

Image Retrieval Algorithm based on Compressed Sensing and Di...

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2017 5th International Conference on Machinery,Materials and Computing Technology(ICMMCT 2017)

作者： Xu Yang Ruiting Sun Chenning Yu College of Computer Science Sichuan University School of Electronics and Information Engineering Tianjin Polytechnic University Kuang Yaming Honors School Nanjing University

Image retrieval is based on the description of image content. The content of the image can be divided into two categories: visual content and information content. The visual content corresponds to the physical representation of the image, such as color, shape, texture. The information content corresponds to the semantic representation of the image, such as the theme, characters, and scenes. This paper discusses the image retrieval algorithm based on compressed sensing and dictionary learning methods. Compressed sensing, also known as compression sampling or compressed sensing, is a new sampling theory which acquires the correct signal a sampling speed far less than the Nyquest sampling rate. Compressed sensing technology randomly samples the signal through the development of signal sparse features, and then reconstructs the signal through nonlinear perfect signal reconstruction algorithms. In this paper, compressed sensing theory is applied to image retrieval in the process of feature extraction and matching. Combining with the optimized dictionary learning, a new retrieval model reconstruction algorithm is established. Experiments show that our algorithm can achieve high compression ratio through compression perception of linear measurement process. Using weighted distance method to calculate the similarity of measured value of the image features, the precise image retrieving is realized.

关键词： Image retrieval semantic information Nyquist sampling rate weighted distance precise image retrieving cognitive theory bi-cubic interpolation（BI）

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Equilibrium solutions of multi-period mean-variance portfolio selection

arXiv

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arXiv 2018年

作者： Ni, Yuan-Hua Li, Xun Zhang, Ji-Feng Krstic, Miroslav College of Computer and Control Engineering Nankai University Tianjin300350 China Department of Applied Mathematics Hong Kong Polytechnic University Kowloon Hong Kong Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing100049 China Department of Mechanical and Aerospace Engineering University of California San Diego United States

This is a companion paper of [Mixed equilibrium solution of time-inconsistent stochastic LQ problem, arXiv:1802.03032], where general theory has been established to characterize the open-loop equilibrium control, feedback equilibrium strategy and mixed equilibrium solution for a time-inconsistent stochastic linear-quadratic problem. This note is, on the one hand to test the developed theory of that paper, and on the other hand to push the solvability of multi-period mean-variance portfolio selection. A nondegenerate assumption has been removed in this note, which is popular in existing literature about multi-period mean-variance portfolio selection;and neat conditions have been obtained to characterize the existence of equilibrium solutions. Copyright © 2018, The Authors. All rights reserved.

关键词： Stochastic systems

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Quantifying sensing quality of crowd sensing networks with confidence interval

Quantifying sensing quality of crowd sensing networks with c...

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2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017

作者： Xiang, Chaocan Yang, Panlong Fan, Xiaochen Gong, Liangyi Logistic Engineering University Chongqing China School of Computer Science and Technology University of Science and Technology of China Heifei China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China School of Computing and Communications University of Technology Sydney Sydney Australia School of Computer Science and Engineering Tianjin University of Technology Tianjin China

ISBN: (纸本)9781538604342

Quantifying sensing quality is fundamentally important for crowd sensing networks. Existing works which focus on quantifying the sensing quality of individual user are not applicable for that of the overall crowd sensing networks. However, it is nontrivial to quantify the sensing quality of crowd sensing networks for two main challenges. First, it is difficult to quantify the sensing quality of crowd sensing networks with the uncertainty, originating from the noisy sensing data and the complex inference of sensing information. Even worse, it is nearly impossible to conduct multiple times of repeated evaluation experiments to quantify the uncertain sensing quality based on the statistical information in crowd sensing networks, due to the dynamic nature of networks and the uncontrolled mobility of users. To address these challenges, inspired by the channel capacity, we investigate the physical essence of sensing quality deeply, and propose a confidence-interval based metric to quantify the uncertain sensing quality, leveraging the lower bound of sensing variance. Moreover, we exploit the Fisher Information of the crowd sensing data to compute the confidence interval without repeating evaluation experiments for multiple times. The extensive simulations demonstrate that our method can achieve a more accurate sensing quality for crowd sensing networks than the status quo methods. © 2017 IEEE.

关键词： Quality control

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