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Nature Cities 2025年 1-13页

作者： Huilin Du Wenfeng Zhan Shasha Wang Jiufeng Li Long Li Yingying Ji Bingbing Zhou Yang Ju Manchun Li Zihan Liu Ariane Middel Kangning Huang Lei Zhao TC Chakraborty Zhihua Wang Fan Huang Xuecao Li Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System Science Nanjing University Nanjing China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing China Frontiers Science Center for Critical Earth Material Cycling Nanjing University Nanjing China School of International Affairs and Public Administration Ocean University of China Qingdao China School of Geography and Ocean Science Nanjing University Nanjing China School of Artificial Intelligence Anhui University Hefei China Global Institute of Sustainability and Innovation Arizona State University Tempe AZ USA New York University Shanghai Shanghai China Department of Civil and Environmental Engineering University of Illinois at Urbana-Champaign Urbana IL USA Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA School of Sustainable Engineering and the Built Environment Arizona State University Tempe AZ USA College of Geography and Remote Sensing Hohai University Nanjing China College of Land Science and Technology China Agricultural University Beijing China

Cities in the Global South face dual pressures from intensifying heat stress and widespread urban browning. However, the specific trends in urban heat stress across these cities, alongside those induced by urban browning, remain inadequately quantified, hampering effective urban planning and intervention strategies. Here we present a data-driven methodology to generate high-resolution (1 km) summertime Heat Index (HI) maps for over 2,300 Global South cities (2003–2020). This dataset recalibrates HI-based warming rates, revealing a mean trend (KHI) of 0.41 ± 0.01 °C per decade (mean ± standard error) across these cities. Urban browning exacerbates heat stress significantly, withKHIincreases surpassing 0.05 °C per decade in cities such as those in Nigeria, contrasting starkly with greening-induced cooling observed in many Global North cities. Our analysis pinpoints cities in dire need of intervention, such as those in Botswana and Côte d’Ivoire facing browning-driven HI increases without commensurate economic growth. Contrastingly, Chinese and Indian cities exhibit a paradoxical cooling trend, potentially linked to greening initiatives amid economic development. Our findings highlight key action imperatives for South–South knowledge exchange to develop targeted governance strategies for achieving urban sustainability.

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COVID-19-like symptoms observed in Chinese tree shrews infected with SARS-CoV-2

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Zoological Research 2020年第5期41卷 517-526页

作者： Ling Xu Dan-Dan Yu Yu-Hua Ma Yu-Lin Yao Rong-Hua Luo Xiao-Li Feng Hou-Rong Cai Jian-Bao Han Xue-Hui Wang Ming-Hua Li Chang-Wen Ke Yong-Tang Zheng Yong-Gang Yao Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common DiseasesKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650223China Kunming National High-level Biosafety Research Center for Non-Human Primates Center for Biosafety Mega-ScienceKunming Institute of ZoologyChinese Academic of SciencesKunmingYunnan 650107China National Resource Center for Non-Human Primates National Research Facility for Phenotypic&Genetic Analysis of Model Animals(Primate Facility)Kunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650107China Kunming College of Life Science University of Chinese Academy of SciencesKunmingYunnan 650204China Department of Respiratory and Critical Care Medicine the Affiliated Drum Tower Hospital of Nanjing UniversityNanjingJiangsu 210008China Medical Key Laboratory for Repository and Application of Pathogenic Microbiology Guangdong Provincial Center for Disease Control and PreventionGuangzhouGuangdong 510440China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 2Q0Q3AChina

Thecoronavirusdisease2019(COVID-19)pandemic continues to pose a global threat to the human population. Identifying animal species susceptible to infection with the SARS-CoV-2/HCoV-19 pathogen is essential for controlling the outbreak and for testing valid prophylactics or therapeutics based on animal model studies. Here,different aged Chinese tree shrews(adult group, 1 year old;old group, 5–6 years old), which are close relatives to primates, were infected with SARS-CoV-2. X-ray, viral shedding, laboratory, and histological analyses were performed on different days postinoculation(dpi). Results showed that Chinese tree shrews could be infected by SARS-CoV-2. Lung infiltrates were visible in X-ray radiographs in most infected animals. Viral RNA was consistently detected in lung tissues from infected animals at 3,5, and 7 dpi, along with alterations in related parameters from routine blood tests and serum biochemistry, including increased levels of aspartate aminotransferase(AST) and blood urea nitrogen(BUN). Histological analysis of lung tissues from animals at 3 dpi(adult group) and 7 dpi(old group) showed thickened alveolar septa and interstitial hemorrhage. Several differences were found between the two different aged groups in regard to viral shedding peak. Our results indicate that Chinese tree shrews have the potential to be used as animal models for SARS-CoV-2 infection.

关键词： SARS-CoV-2/HCoV-19 Treeshrews Animal model Susceptibility COVID-19

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Visualising trends in computational thinking research from 2012 to 2021: A bibliometric analysis

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Thinking Skills and Creativity 2023年 47卷

作者： Chen, Hui E Sun, Daner Hsu, Ting-Chia Yang, Yuqin Sun, Jin Department of Mathematics and Information Technology the Education University of Hong Kong 10 Lo Ping Rd Tai Po D4-1F-15 Hong Kong SAR Hong Kong Department of Technology Application and Human Resource Development National Taiwan Normal University Taiwan Faculty of Artificial Intelligence in Education Central China Normal University Wuhan China Department of Early Childhood the Education University of Hong Kong Hong Kong SAR Hong Kong

Using the analytical tool CiteSpace, this review study conducted a bibliometric analysis of the characteristics of 249 studies on Computational Thinking (CT) indexed in the Web of Science from 2012 to 2021. The multi-dimensional analytical approach provided a holistic view of the scope of CT research and its progression,and enabled the major topics, themes, disciplinary domains, and prominent authors, institutes, countries/regions, and papers to be identified. Based on the general descriptive data analysis, the results showed that CT has gained increasing influence as a field of research over the past decade. A clustering analysis of the retrieved keywords showed that the development of CT in K-12 education was the most frequently discussed topic. The co-occurrence knowledge maps identified the 11 main research themes and their progress. The research was from a wide spectrum of disciplines including education, science education, computer science, interdisciplinary application, psychology, engineering, and information systems. The highest co-citations were found in the journals of Communication of the ACM, Computers and Education, and Computers in human Behaviors. The researchers, institutes, and countries/regions that have made the most significant contributions to CT research and the 10 most highly cited CT studies were also identified. Overall, the findings of this review study indicate the paths for future research on developing CT in the classroom. © 2022 Elsevier Ltd

关键词： Bibliometric analysis Citespace tool Clustering analysis Computational thinking Trends study

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Stakeholders in the Indian Healthcare Sector

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Vikalpa 2021年第2期46卷 65 - 70页

作者： Rajesh Chandwani is a faculty in the human resource management (HRM) area at IIMA. He is the chairperson of the Academy of Human Resource Development (AHRD). In the past he has served as the chairperson of Centre for Management of Health Services (CMHS) at IIMA. He is a Fellow (PhD) of IIM Bangalore. After completing his MD (Paediatrics) from Baroda Medical College he has served in rural and urban areas working at primary and tertiary centres. He has wide-ranging interest in issues related to HRM and technology and challenges faced by the Indian healthcare sector. Particularly his current research interests include the use of information technology to scale up healthcare services for the underprivileged and its application to enhance the effectiveness of healthcare personnel.

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Enhanced phytoremediation strategy for sustainable management of heavy metals and radionuclides

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Case Studies in Chemical and Environmental Engineering 2022年 5卷

作者： Singh, B.S. Manisha Singh, Dipanjali Dhal, Nabin Kumar Academy of Scientific and Innovative Research (AcSIR) CSIR-Human Resource Development Centre (CSIR-HRDC) Campus Ghaziabad Uttar Pradesh 201002 India Environment and Sustainability Department CSIR-Institute of Minerals and Materials Technology Bhubaneswar 751013 Odisha India

Rapid industrialization, increased industrial wastes, higher agricultural inputs, and mining have elevated heavy metal (HM) contamination. Authorized nuclear waste discharge, nuclear weapon testing, etc., led to dissipation of radionuclides (RNs), into the geo-environment. Thus, unregulated utilization of such detrimental toxic substances needs proper attention. Without adequate management, the risk of mobilisation of HMs and RNs to the food web through crops and animals channel results into biomagnifications. Worldwide Researchers have been attracted towards phytoremediation techniques to clean up the contaminated environment without causing further ecological disturbances. Consequently, we have reviewed the environmental concerns of HMs and RNs owing to their physical and chemical behavior in the environment. We have also discussed various phytoremediation techniques and post-phytoremediation methods for sustainable remediation of targeted contaminants. In addition to that, the review comprises essential aspects of enhancing phytoremediation strategy by applying various soil amendments such as biochar, organic matters, organic acid exudates, humic substances, and factors for selecting hyperaccumulator plants. Deliberation regarding the management of biomass generated during phytoremediation process is also highlighted. Therefore, we focus on assessing various post-phytoremediation management strategies, including proper disposal of contaminated biomass, preparation of bio sorbent, bio fuel, biogas, nanoparticles, and bio fortification of essential nutritionally important HMs into various foods. Besides this, future implications of such an enhanced plant mediated remediation process are also suggested. © 2021

关键词： Bioavailability Heavy metal and radionuclide pollution Phytoremediation Post-phytoremediation management Soil amendments

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Correction to: Predicting behavioral competencies automatically from facial expressions in real-time video-recorded interviews

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Journal of Real-Time Image Processing 2021年第4期18卷 1023-1023页

作者： Su, Yu-Sheng Suen, Hung-Yue Hung, Kuo-En Department of Computer Science and Engineering National Taiwan Ocean University Keelung City Taiwan Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei City Taiwan

A correction to this paper has been published: https://***/10.1007/s11554-021-01090-2

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A multi-disciplinary, multi-institutional approach to teaching Ethical, Social, Health, Safety, and Environmental Issues in Nanotechnology

A multi-disciplinary, multi-institutional approach to teachi...

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IEEE International Symposium on Ethics in Science, technology and Engineering

作者： J. Craig Hanks Jitendra Tate Dominick Fazarro Walt Trybula Robert McLean Satyajit Dutta Fritz Alhoff Department of Philosophy Texas State University San Marcos TX Ingram School of Engineering Texas State University San Marcos TX Human Resource Development and Technology University of Texas at Tyler Tyler TX Department of Biology Texas State University San Marcos TX Department of Philosophy Western Michigan University Kalamazoo MI USA

The paper reports on our work developing a multi-disciplinary and multi-institutional approach to teaching Ethical, Social, Safety, Health, and Environmental Issues in Nanotechnology. Under a grant from NSF, we are developing, implementing, and assessing two modular courses that include societal, ethical, environmental, health, and safety issues related to nanotechnology for undergraduates in engineering and engineering technology. It is a collaborative project between Texas State University, a Hispanic Serving Institution (HSI) and the University of Texas at Tyler (UT Tyler), whose student population is 60 percent women. The work is being conducted by a highly interdisciplinary team of faculty who bring to the project expertise from mechanical engineering, manufacturing engineering, civil engineering, electrical engineering, industrial education and technology, physics, biology, philosophy, and ethics. Here we explain the origin of the project, explicate how we have developed the course modules, review the first two semesters (Summer and Fall 2013) teaching from these modules, and examine our initial results and evaluations.

关键词： Safety Educational institutions Sociology Ethics Nanomaterials

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Decision Making on Optimal Selection of Advertising Agencies using Machine Learning

Decision Making on Optimal Selection of Advertising Agencies...

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International Conference on Information Management (ICIM)

作者： M. Clement Joe Anand Nivetha Martin Arockiasamy Clementking S. Rani Sujitha Priyadharshini S. Siva Department of Mathematics Mount Carmel College (Autonomous) Bengaluru Karnataka India Department of Mathematics Arul Anandar College (Autonomous) Karumathur Tamil Nadu India Human Resource Development Mount Carmel College (Autonomous) Bengaluru Karnataka India Department of Information Technology Vels Institute of Science Technology & Advanced Studies Chennai Tamil Nadu India CSST Academy of Research and Development (CARD) Pvt. Ltd Bengaluru Karnataka India Department of Computer Science & Applications Reva University Bengaluru Karnataka India

The decision makers of every business firm take strenuous efforts to achieve the target of sales promotion using different marketing strategies. In recent times, advertising is becoming one of the most preferred and adopted marketing techniques to reach customers at larger magnitude. The business firms irrespective of their production sizes and scales associate with various advertising agencies to familiarize their products to the customers. The advertising strategic approach of marketing also gives rise to a decision-making problem on the optimal choice of advertising agencies as the wrong selection of the agencies harms the sales. This research paper intends to propose a decision making (DM) model integrating both multi–criteria decision methods and machine learning algorithms to make optimal selection of advertising agencies. The proposed DM model considers 25 alternatives of advertising agencies, six criteria, linguistic analytic hierarchy process (LAHP) and random forest algorithm for ranking the advertising agencies. The machine learning (ML) algorithm identifies the feasible alternatives with the help of criterion weights obtained using the method of LAHP. This method is more compatible as it minimizes the risks of decision making by grouping the alternatives into two groups of acceptance and rejection based on their likelihood. The computations are done using Python programming language especially in Google Colabs.

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Fabrication of an Inch-scale High-Q Fiber Ring Resonator

Fabrication of an Inch-scale High-Q Fiber Ring Resonator

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Conference on Lasers and Electro-Optics (CLEO)

作者： Rizki Arif Pradono Mohamad Syahadi Dongin Jeong Gyeongho Son Hansuek Lee Kyoungsik Yu School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Center for Research and Human Resource Development National Standardization Agency of Indonesia South Tangerang Indonesia Graduate School of Nanoscience and Technology Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea Department of Physics Korea Advanced Institute of Science and Technology (KAIST) Daejeon South Korea

We demonstrate an inch-scale fiber ring resonator with its core partially exposed by droplet-based wet etching for efficient coupling. A quality factor of (3.14±0.3)×10 7 with a free spectral range of ~2.2 ... 详细信息

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

关键词： Optical fibers Q-factor Wet etching Optical fiber sensors Optical microscopy Resonant frequency Optical variables measurement

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Correction to: Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research

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Annals of Operations Research 2022年第1期332卷 1199-1205页

作者： Kumar, Satish Sharma, Dipasha Rao, Sandeep Lim, Weng Marc Mangla, Sachin Kumar Department of Management Studies Malaviya National Institute of Technology Jaipur Jaipur India School of Business Swinburne University of Technology Kuching Malaysia Symbiosis Centre for Management and Human Resource Development Symbiosis International (Deemed University) Pune India DCU Business School Dublin City University Dublin 09 Ireland Swinburne Business School Swinburne University of Technology Hawthorn Australia Jindal Global Business School O P Jindal Global University Sonipat India

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