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Research on the Ecological Environment Evaluation of Technological Talents in the Shuangcheng Economic Circle of Chengdu Region 1

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International Conference on Data Analytics in Business and Marketing, ICDABM 2022

作者： Liu, Hong Yadav, Amit Hu, Li Qin Mehedi Hassan, Md. Mollick, Swarnali Talwar, Dinesh Department of Human Resource Management Chengdu University of Technology Chengdu China Darwin Australia Department of E-Commerce Chengdu Neusoft University Chengdu China Computer Science and Engineering North Western University Khulna Bangladesh Computer Science and Engineering Northern University of Business and Technology Khulna Bangladesh Department of Corporate and Digital Development Darwin Australia

ISBN: (数字)9789819953585

ISBN: (纸本)9789819953578

This paper takes 22 cities in Sichuan-Chongqing region as examples, builds a comprehensive evaluation index system for the ecological environment of scientific and technological talents on the basis of existing research, uses the mean square error weighting method to determine the weight of each index, and uses the comparative analysis method to analyze the Chengdu-Chongqing double-city economic circle. The current situation and shortcomings of the cities in the country proposed countermeasures and suggestions to improve the comprehensive ability of scientific and technological talents in the ecological environment. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Mean square error

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Community Engagement and Ecosystem Services for Mine Rehabilitation

Integrative Conservation

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Integrative Conservation 2025年第1期4卷 107-112页

作者： Pan, Yuan Duddigan, Sarah Devanadera, Ma Catriona E. Quierrez, Rico Neil M. Tibbett, Mark Department of Digital Humanities King's College London London United Kingdom Department of Sustainable Land Management School of Agriculture Policy and Development University of Reading Reading United Kingdom Department of Community and Environmental Resource Planning College of Human Ecology University of the Philippines Los Baños Los Baños Philippines Department of Science and Technology Philippine Nuclear Research Institute (DOST-PNRI) Quezon City Philippines

The growing global demand for minerals presents economic opportunities for countries such as the Philippines but also raises concerns about the impacts of mineral extraction on local communities and ecosystem services. This study explores an interdisciplinary community engagement process informing mine rehabilitation in the Philippines, framed through an ecosystem services lens. As part of the PROMT (Philippines Remediation of Mine Tailings) project, we conducted an initial participatory workshop at the Padcal Mine site, engaging Indigenous communities to assess local perspectives on ecosystem services and the impacts of mining activities. Through video presentations, a questionnaire, and focus groups, we found that 88% of participants understood the concept of ecosystem services after viewing an introductory video, while 62% believed mining negatively affected ecosystem services. Interestingly, 65% felt that rehabilitated mines could provide future ecosystem services, such as agriculture or ecotourism. Gender differences were evident, with women perceiving more significant mining impacts but being more optimistic about the rehabilitation potential. This underscores the importance of inclusive engagement approaches. The ecosystem services framework effectively bridges ecological knowledge with community priorities and tangible benefits, promoting social acceptance of mine rehabilitation. This interdisciplinary approach, particularly the integration of Indigenous perspectives, remains underused in mining contexts. Our community-based participatory methodology provides guidance for balancing diverse socioeconomic and environmental considerations. © 2025 The Author(s). Integrative Conservation published by John Wiley & Sons Australia, Ltd on behalf of Xishuangbanna Tropical Botanical Garden (XTBG).

关键词： community engagement ecosystem services mine rehabilitation mine tailings mineral extraction stakeholder engagement

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Research on the Appraisal of the Attraction of Technological Talents in the Shuangcheng Economic Circle of Chengdu-Chongqing Region 12

Research on the Appraisal of the Attraction of Technological...

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12th International Conference on Cloud Computing, Data Science and Engineering, Confluence 2022

作者： Hu, Li Qin Khan, Asif Yadav, Amit Liu, Hong Chengdu Neusoft University Department Of E-Commerce Chengdu China Integral University Department Of Computer Application Lucknow India Charles Darwin University College Of Engineering It Environment Darwin Australia Chengdu University Of Technology Department Of Human Resource Management Chengdu China

ISBN: (纸本)9781665437011

This article first builds an evaluation index system for the attractiveness of scientific and technological talents based on the analysis and summary of existing research and related theories at home and abroad. Secondly, this article takes the Chengdu-Chongqing area double-city economic circle as an example, briefly analyzes its talent status, and after collecting and sorting out the statistical data of related indicators, it uses factor analysis and entropy method to comprehensively analyze its talent attraction. The empirical evaluation gives a comprehensive evaluation of the attractiveness of science and technology talents in the Chengdu-Chongqing Double-city Economic Circle and the specific sub-item comparative evaluation results of each city. Finally, based on the evaluation results, it puts forward countermeasures and suggestions to improve the attractiveness of talents [1]. © 2022 IEEE.

关键词： Economics Urban areas Entropy Appraisal Indexes Sorting

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Influence of Yuanfen Attribution on Job Performance: An Exploration of the Roles of Self-Efficacy and Well Being

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Bulletin of Educational Psychology 2023年第4期54卷 807-834页

作者： Hsieh, Ting-Has Liao, Yuan-Liang Wu, Chung-Lan Department of Human Resource Management and Development Hsiuping University of Science and Technology Taiwan Office of Academic Affairs Jen-Mei Elementary School Taiwan

Yuan, also referred to as yuanfen, is a unique concept in Eastern culture. In Chinese-speaking societies, yuan is often used to explain guanxi-related problems, and it constitutes a thinking pattern that is applied when solving problems involving interpersonal interactions (Hsu, 2012). In Chinese-speaking communities, yuan is the basis of a unique attribution model for explaining the results of interactions between people in a complex world (Chang & Jou, 2004;Lee & Chen, 2006). The present study proposes yuan-attribution and fen-attribution models on the basis of attribution theory. Yuan reflects a belief in fate and an external locus of control;random encounters, interpersonal relationships, and everyday opinions are considered to be predestined conclusions. In Eastern societies, this mindset leads to the adoption of a form of psychological defense that is based on the Mandate of Heaven and a belief in yuan (Chang & Jou, 2004;Wang, 1985). Consequently, they employ an operating mechanism characterized by acceptance and adaptation to achieve psychological selfadaptation. Yuan-attribution refers to an inclination to blame external factors and exhibit social indifference when specific outcomes occur in environments and under circumstances that are unpredictable and uncontrollable. Fen reflects a belief in voluntarism and an internal locus of control. Individuals who believe in fen consider themselves to be responsible for how they relate to their surroundings, and they attempt to exercise ownership over it. They believe that their expectations can be met through self-directed behaviors;this attitude exemplifies the concepts of “man being the master of his own destiny” and “sparing no effort.” This unique belief in fen leads to the formation of an operating mechanism in which people recognize and accept their destiny, which in turn motivates them to adopt attitudes and behaviors characterized by hard work and gratitude (Hsu, 2012). Fen attribution refers to an inclinati

关键词： attribution theory job performance self-efficacy well-being yuan-fen attribution

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A Study of Image Recognition for Standard Convolution and Depthwise Separable Convolution 12th

A Study of Image Recognition for Standard Convolution and De...

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12th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2020

作者： Tseng, Fan-Hsun Kao, Fan-Yi Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei10610 Taiwan

ISBN: (纸本)9783030571146

Artificial intelligence and deep learning techniques are all around our life. Image recognition and natural language processing are the two major topics. Through using TensorFlow-GPU as backend in convolutional neural network (CNN) and deep learning network, image recognition has been an extreme breakthrough in recent years. However, more and more model parameters result in overfitting problem and computation overhead. In the paper, the performance of image recognition between standard CNN and depthwise separable CNN is experimented and investigated. In addition, data augmentation technique is applied to both standard and depthwise separable CNNs to improve the image recognition accuracy. The experiments are implemented by an open source API called Keras with using CIFAR-10 dataset. Experimental results showed that the depthwise separable CNN improves validation accuracy compared with the standard CNN. Moreover, schemes with data augmentation achieve higher validation accuracy but training accuracy. © 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Convolution

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Decision Making on Optimal Selection of Advertising Agencies using Machine Learning 9

Decision Making on Optimal Selection of Advertising Agencies...

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9th International Conference on Information Management, ICIM 2023

作者： Joe Anand, M. Clement Martin, Nivetha Clementking, Arockiasamy Rani, S. Priyadharshini, Sujitha Siva, S. Department of Mathematics Karnataka Bengaluru560052 India Human Resource Development Karnataka Bengaluru560052 India Vels Institute of Science Technology & Advanced Studies Department of Information Technology Tamil Nadu Chennai600117 India Pvt. Ltd Karnataka Bengaluru560017 India Reva University Department of Computer Science & Applications Karnataka Bengaluru560064 India

ISBN: (纸本)9798350336382

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. © 2023 IEEE.

关键词： Machine learning

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Enhancing Model Explainability in Financial Trading Using Training Aid Samples: A CNN-Based Candlestick Pattern Recognition Approach

Enhancing Model Explainability in Financial Trading Using Tr...

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IEEE International Conference on Information Reuse and Integration (IRI)

作者： Yun-Cheng Tsai Jun-Hao Chen Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan R.O.C. Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan R.O.C.

Candlestick pattern recognition is a widely adopted technique in financial trading, leveraging visual patterns to analyze price movements. Deep Convolutional Neural Networks (CNNs) have exhibited remarkable accuracy in this domain. However, the increasing demand for transparency and explainability in CNN-based models raises concerns regarding their applicability in trading decision-making. This paper addresses these concerns by presenting a framework that enhances the explainability of CNN-based candlestick pattern recognition models. Our approach introduces an innovative data augmentation method to generate training aid samples, facilitating the model’s learning process within human domains. By incorporating this framework, traders gain valuable insights into the decision-making process, comprehending the rationale behind the model’s predictions. Our proposed approach exposes the inherent “black box” nature of CNN-based models, improving their interpretability and empowering traders to make well-informed decisions based on transparent and understandable insights. This advancement holds significant potential for enhancing decision-making processes in financial trading and fostering trust among traders.

关键词：

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Engagement, Academic Emotions, and Artificial Intelligence application Creativity in the Metaverse: A Study of Facial Expressions

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Journal of Computer Assisted Learning 2025年第3期41卷

作者： Chang, Yu-Shan Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan

Background: Due to the rapid development of artificial intelligence (AI) and the widespread adoption of online learning post-COVID-19, the metaverse has become an important strategy for innovative teaching. Objectives: This study aimed to investigate the impact of the metaverse on learning engagement, learning emotions, and creative performance in AI applications by analysing academic emotions through facial expressions. Methods: The study was conducted as a non-equivalent group pretest–posttest quasi-experimental construct involving 97 students from a public high school. The experimental teaching theme focused on AI image recognition and speech recognition, with the experimental group receiving online metaverse instruction and the control group receiving instruction through Google Meet. Results and Conclusion: Key findings include the following: the metaverse significantly and positively influenced cognitive, emotional, and social dimensions of learning engagement, but no impact was observed on the behavioural dimension;the metaverse had a substantial impact on the creative performance of AI application design, particularly in the empathy, definition, ideation, and testing stages;and the metaverse significantly affected academic emotions, with increased expressions of anger and sadness observed, particularly during the empathy, definition, and ideation stages of design thinking. Thus, the results of this study provide a pedagogical foundation for the adoption of the metaverse and auxiliary tools in teaching. © 2025 John Wiley & Sons Ltd.

关键词： academic emotions AI creativity engagement facial expression metaverse steam

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Impacts of major volcanic eruptions over the past two millennia on both global and Chinese climates:A review

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Science China Earth Sciences 2024年第1期67卷 61-78页

作者： Weiyi SUN Deliang CHEN Guonian LÜ Liang NING Chaochao GAO Renhe ZHANG Bin WANG Jian LIU Key Laboratory for Virtual Geographic Environment Ministry of EducationState Key Laboratory Cultivation Base of Geographical Environment Evolution of Jiangsu ProvinceJiangsu Center for Collaborative Innovation in Geographical Information Resource Development and ApplicationSchool of Geography ScienceNanjing Normal UniversityNanjing 210023China Regional Climate Group Department of Earth SciencesUniversity of GothenburgGothenburg 40530Sweden College of Environmental and Resource Science Zhejiang UniversityHangzhou 310058China Department of Atmospheric and Oceanic Sciences&Institute of Atmospheric Sciences Fudan UniversityShanghai 200437China Department of Atmospheric Sciences and Atmosphere-Ocean Research Center University of Hawaii at ManoaHonoluluHI 96825USA Jiangsu Provincial Key Laboratory for Numerical Simulation of Large Scale Complex Systems School of Mathematical ScienceNanjing Normal UniversityNanjing 210023China Open Studio for the Simulation of Ocean-Climate-Isotope Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China

Major volcanic eruptions(MVEs)have attracted increasing attention from the scientific *** studies have explored the climatic impact of MVEs over the past two ***,proxy-based reconstructions and climate model simulations indicate divergent responses of global and China’s regional climates to ***,we used multiple data from observations,reconstructions,simulations,and assimilations to summarize the historical facts of MVEs,the characteristics and mechanisms of their climatic impact,and directions for future *** reviewed volcanic datasets and determined intensive MVE periods;these periods corresponded to the years 530–700,1200‒1460,and 1600‒1840 *** tropical MVEs,a substantial cooling effect is observed throughout the globe and China on the interannual-interdecadal time scales but an inconsistent cooling magnitude is detected between reconstructions and *** the first summer after tropical MVEs,a decrease in global and monsoonal precipitation is *** reconstructions and simulations,an increased precipitation is seen for the Yangtze River Basin,while large uncertainties in precipitation changes are present for other regions of *** drought can be induced by frequent eruptions and volcanism superimposed on low solar irradiation and internal *** affect climate directly through the radiative effect and indirectly by modulating internal variability,such as the El Niño‒Southern Oscillation(ENSO)and Atlantic Multidecadal Oscillation(AMO).However,changes in the phase,amplitude,and periodicity of ENSO and AMO after MVEs and the associated mechanisms remain controversial,which could account for model-reconstruction ***,other internal variability,uncertainties in reconstruction methods and aerosol‒climate models,and climate background may also induce model-reconstruction *** gaps and directions for future research are also discussed.

关键词： Major volcanic eruption Climate variability Mechanism Past two millennia Internal variability

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Palmyra and coconut haustorium: A comprehensive review on nutritional composition, bioactive potential, value-added products and its health benefits

Food Chemistry Advances

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Food Chemistry Advances 2024年 5卷

作者： E, Raja Rajeshwari P S, Sathanya S, Vignesh N, Baskaran Department of Academics and Human Resource Development National Institute of Food Technology Entrepreneurship and Management – Thanjavur (NIFTEM-T) Tamil Nadu 613005 India

The various parts of the palmyra and coconut trees which are widely distributed in the southern parts of the Indian subcontinent have been studied and utilized for many years. These contain a white and spongy edible component in them which is found during the germination of the seeds called haustorium. The palmyra and coconut trees each have different sections with special medical properties. Recently, the haustorium of both coconut and palmyra trees has been gaining increased attention from researchers due to its nutritional properties. Certain studies on the haustoria have revealed the presence of various compounds that are beneficial for human health. The bioactive compounds found in the previous studies include phenols, flavonoids, terpenoids, pyrimidine groups and certain vitamins which act as antioxidant, anti-inflammatory, anti-ulcer, anti-diabetic, anti-cancer, and anti-mutagenic agents. This review focuses on comparing the nutritional composition, bioactive compounds, sugar profile fatty acid profile, amino acid profile, minerals, and vitamins of both palmyra and coconut haustorium. This review also reports on the value addition of the haustoria as usually they are consumed in their raw form. These value-added products not only enhance the economic viability of these underutilized resources but also contribute to extending their shelf life, making them more accessible in the market. Also, this review emphasizes the haustorium's potential defence against negative consequences. Therefore, this review paper helps in understanding the palmyra and coconut haustorium and its potential health benefits. © 2024 The Author(s)

关键词： Bioactive compounds Coconut haustorium Nutritional composition Palmyra haustorium Phytochemical properties Value-added products

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