Human Behavior and Emerging Technologies最新文献

{"title":"Activating the Mobile User Interface With a Rule-Based Chatbot and EEG-Based Emotion Recognition to Aid in Coping With Negative Emotions","authors":"Haneen Reda Banjar,&nbsp;Lujain Alsefri,&nbsp;Aseel Alshomrani,&nbsp;Morouj Hamdhy,&nbsp;Sara Alahmari,&nbsp;Sanaa Sharaf","doi":"10.1155/2024/7499554","DOIUrl":"https://doi.org/10.1155/2024/7499554","url":null,"abstract":"<p>Mental health depends on emotional intelligence (EI), the ability to recognize, understand, and manage emotions. As emotions—positive and negative—influence our actions, decisions, and health, EI has become more important in today’s fast-paced society. Negative emotions, in particular, pose a challenge due to their complexity and the difficulty in managing them effectively. The “Motus Up” mobile app represents a significant leap in personal mental health management by merging EEG-based emotion recognition with a rule-based chatbot to aid users in managing negative emotions. Utilizing principles of EI, the app customizes the mobile interface color settings, suggesting activities and providing advice suited to the user’s emotional state confirmed by the chatbot. The emotion recognition model is trained and tested using the SEED-IV dataset, ensuring compatibility with consumer EEG headbands and accurate detection of complex emotions like sadness and fear. Thorough static and dynamic testing has validated the app’s design and operational efficacy, confirming its preparedness for practical use. By combining real-time EEG data analysis with intelligent chatbot interactions, “Motus Up” stands out as an innovative mental health tool that enhances EI and offers a responsive experience for emotional self-regulation. This integration of technology and psychology in a mobile platform is poised to improve mental well-being and EI on a personal scale.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/7499554","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142084562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing and Forecasting E-Commerce Adoption Drivers Among SMEs: A Machine Learning Approach","authors":"Yomna Daoud,&nbsp;Aida Kammoun","doi":"10.1155/2024/7747136","DOIUrl":"https://doi.org/10.1155/2024/7747136","url":null,"abstract":"<p>This paper investigated the factors in the technology–organization–environment (TOE) framework that affect the decision of whether to adopt electronic commerce (EC) or not within small- and medium-sized enterprises (SMEs). To this end, a questionnaire-based survey was conducted to collect data from 60 managers or owners of manufacturing SMEs in Tunisia. Unlike the traditional regression approaches, we referred to novel machine learning (ML) techniques and reveal that ML techniques reach a higher level of performance in forecasting driving factors to EC adoption compared to the traditional logistic regression approach. The achieved results also indicate that EC adoption within SMEs is significantly affected by eight factors, namely, IT vendors’ support, the adopted technology complexity degree, chief executive officer (CEO) innovativeness, technology readiness, customers’ pressure, firm size, infrastructure compatibility, and the innovative technology-perceived relative advantage.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/7747136","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142007175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Playing With Spatial Frames: Altering the Body Matrix Through Multisensory Egocentric and Allocentric Body Illusions","authors":"Giulia Brizzi,&nbsp;Giuseppe Riva","doi":"10.1155/2024/7316063","DOIUrl":"https://doi.org/10.1155/2024/7316063","url":null,"abstract":"<p>The multifaceted nature of body experience, encompassing affective, cognitive, and perceptual components, plays a critical role in the development and persistence of conditions such as anorexia nervosa (AN). Recent research attempted to address such disturbance to improve therapeutical effectiveness, using mirror exposure (ME) and body-swapping (BS) techniques in immersive virtual reality (VR). Procedures from a third-person perspective—as mirror-like experiences—were primarily used to address bodily cognitive and affective components, whereas first-person ones—as BS—were used to correct distorted body perception. This study investigated the effect of spatial reference frame on body self-consciousness and body perception during BS. Data revealed two main findings: Even though embodiment was significantly enhanced when participants engaged with a virtual body from a first-person viewpoint, both egocentric and allocentric perspectives influenced body size estimation (BSE), suggesting that both spatial perspectives critically form and sustain body self-perception. We discussed predictive coding theory to explain spatial perspective influence on body experience, highlighting the potential therapeutic benefits of incorporating first and third-person perspectives on body illusions (BIs) for more effective interventions targeting body-related disturbances.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/7316063","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142007134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technology in Suicide Prevention: Fears and Functionality for Crisis Supporters","authors":"Danielle Hopkins,&nbsp;Kelly Mazzer,&nbsp;Debra Rickwood","doi":"10.1155/2024/6625037","DOIUrl":"https://doi.org/10.1155/2024/6625037","url":null,"abstract":"<p><b>Background:</b> Crisis supporters at Lifeline Australia consistently engage with distressed and often suicidal help-seekers. The development of technological methods, such as machine learning (ML), in suicide prevention may complement their support work. Investigating attitudes towards the use of ML in crisis support is an important first step.</p><p><b>Aims:</b> The current study is aimed at investigating crisis supporters’ attitudes towards ML in crisis support/suicide prevention, beliefs about the effect of technology on the service and help-seeking, and concerns/opinions about any future technology implementation.</p><p><b>Methods:</b> Two hundred fifty-five crisis supporters aged 20–84 years were recruited through Lifeline Australia. Participants voluntarily completed an anonymous questionnaire, including measures of attitudes towards technology as well as open-text options, which provided the data for a thematic analysis.</p><p><b>Results:</b> Crisis supporters were neutral to negative on an adapted measure of ML use in crisis support. Less than one-third held the belief that technology would enhance Lifeline services, and over half of the participants felt help-seekers would be less likely to contact Lifeline if technology was implemented. Thematic analysis of the open-text questions revealed loss of human connection and mistrust of algorithms to be the most prominent barriers to future technological adoption by Lifeline crisis supporters.</p><p><b>Limitations:</b> Clearly defining terms of ML and technology was difficult to do in this hypothetical context, potentially impacting the attitudes expressed.</p><p><b>Conclusions:</b> Any new technology to support crisis supporters needs to be carefully codesigned with the workforce to ensure effective implementation and avoid any potential or perceived negative impacts on help-seekers.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/6625037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Employee Performance: Exploring the Nexus of Nonstandard Services, Psychological Contracts, and Knowledge Sharing","authors":"Ahmad Munawir,&nbsp;Bambang Dwi Suseno","doi":"10.1155/2024/6746963","DOIUrl":"https://doi.org/10.1155/2024/6746963","url":null,"abstract":"&lt;p&gt;&lt;b&gt;Background:&lt;/b&gt; The interplay between the delivery of nonstandard services, the management of psychological contracts, and the facilitation of knowledge sharing forms a complex web that underpins employee performance in outsourcing companies. This nexus highlights the need for a strategic approach to human resource management that recognizes the unique challenges and opportunities presented by the outsourcing context. Leaders and managers in outsourcing companies must navigate these dynamics with care. Crafting clear, realistic, and flexible psychological contracts can provide a solid foundation for employee engagement. Simultaneously, fostering a culture that prizes knowledge sharing not only fuels innovation but also enhances the company’s capability to deliver nonstandard services effectively. Through such strategies, outsourcing companies can unlock the full potential of their workforce, achieving not only high levels of employee performance but also sustainable competitive advantage in the global market.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Objective:&lt;/b&gt; This research article is aimed at bridging a critical gap in the current body of knowledge by conducting a comprehensive investigation into the root causes of problems or complaints within outsourcing companies, with a particular focus on how these issues affect employee performance. Despite the recognized importance of employee performance in determining the success of outsourcing endeavors, there remains a significant lack of understanding regarding the specific factors that lead to employee grievances and the subsequent impact on their motivation and productivity. Identifying and understanding these factors is crucial for several reasons. First, it enables outsourcing companies to develop targeted strategies that address the underlying causes of employee dissatisfaction, rather than merely treating its symptoms. Second, by improving employee motivation and productivity, companies can enhance the quality of their services, leading to increased client satisfaction and competitive advantage in the market. Finally, addressing these issues contributes to a more positive organizational culture, which is essential for attracting and retaining top talent in the highly competitive outsourcing industry.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Arrangement:&lt;/b&gt; This structured arrangement facilitates a logical flow of information, guiding readers through the complexities of the study while highlighting the novel insights it provides into improving employee performance in outsourcing companies through an understanding of nonstandard services, psychological contracts, and knowledge sharing.&lt;/p&gt;&lt;p&gt;&lt;b&gt;Method:&lt;/b&gt; This study adopts a quantitative research methodology, framed within a correlational design, to scrutinize the interrelations among various factors affecting employee performance in the manufacturing sector. It specifically investigates how psychological contracts (&lt;i&gt;X&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;) and knowledge sharing (&lt;i&gt;X&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt;), as exogenous v","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/6746963","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geo-Insurance: Improving Big Data Challenges in the Context of Insurance Services Using a Geographical Information System (GIS)","authors":"Nana Yaw Asabere,&nbsp;Isaac Ofori Asare,&nbsp;Gare Lawson,&nbsp;Fatoumata Balde,&nbsp;Nana Yaw Duodu,&nbsp;Gifty Tsoekeku,&nbsp;Priscilla Owusu Afriyie,&nbsp;Abdul Razak Abdul Ganiu","doi":"10.1155/2024/9015012","DOIUrl":"https://doi.org/10.1155/2024/9015012","url":null,"abstract":"<p>Both large and small information flows can have a significant impact on how consumers obtain trustworthy financial information, ultimately leading to an improvement in their daily lives when they interact dynamically with local geographic conditions. In economies that face both geographical and socioeconomic challenges, such as those in Africa, this kind of context is crucial. Large information flows provide significant issues such as big data challenges in the insurance sector, which calls for robust, demand-driven, and adaptive innovation solutions. In this paper, we present a geographic information system (GIS)–based location-aware recommender algorithm, called <i>Geo-Insurance</i>. Using some selected insurance companies in Accra, Ghana, as a point of view for location and customer data, our proposed <i>Geo-Insurance</i> solution addresses the big data challenges of customers finding the closest insurance companies with specific services through a web-based map created using a geodatabase file, ArcCatalog, and ArcGIS (among others). We conducted a series of benchmarking experiments. Our evaluation results show that <i>Geo-Insurance</i> performs better than other contemporary methods in terms of F-measure (<i>F</i>1), recall (<i>R</i>), precision (<i>P</i>), mean absolute error (MAE), and normalized MAE (NMAE).</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/9015012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Virtual Commerce Applications for the Metaverse Using Spherical Linear Diophantine-Based Modeling Approach","authors":"Ghazala Bilquise,&nbsp;Khaled Shaalan,&nbsp;Manar AlKhatib","doi":"10.1155/2024/4571959","DOIUrl":"https://doi.org/10.1155/2024/4571959","url":null,"abstract":"<p>The rise of the metaverse has ignited a surge of interest among researchers and decision-makers, seeking to develop effective virtual commerce (v-commerce) applications that cater to business demands and customer preferences. v-commerce, an emerging concept, redefines the future of shopping experiences and customer-product interactions. While businesses are actively exploring the potential of immersive technologies to deliver captivating and engaging shopping experiences, there remains a lack of consensus on what constitutes an ideal v-commerce experience and how to identify optimal v-commerce stores effectively. Considering this, benchmarking v-commerce applications for the metaverse is crucial for its development. This endeavor falls within the realm of multiple-criteria decision-making, given various critical issues such as the multitude of design attributes, uncertainty regarding their relative importance, and data variability. This study proposes an innovative approach that extends the fuzzy-weighted zero-inconsistency (FWZIC) method with spherical linear Diophantine fuzzy sets (FSs) (SLDFSs) to determine the weights of v-commerce attributes. The obtained weights are integrated with the ranking alternatives by trace median index (RATMI) method to select the optimal v-commerce application for the metaverse. Criterion weighting results reveal that “ease of navigation” and “recommendation agents” are the most significant criteria in assessing v-commerce solutions. Based on these results, 24 v-commerce solutions were evaluated. Additionally, sensitivity analysis and comparative evaluation were used to assess the robustness and validity of the proposed framework. This research provides essential insights for decision-makers and practitioners to facilitate business growth, consumer satisfaction, and further research in this domain.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/4571959","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors Influencing Consumers’ Acceptance of Smartphone Diet Applications: An Integrated Model","authors":"Abdulalem Mohammed","doi":"10.1155/2024/4881810","DOIUrl":"https://doi.org/10.1155/2024/4881810","url":null,"abstract":"<p>The rapid expansion of smartphone-based diet applications has been driven by the growing prevalence of mobile technology among consumers and their diverse lifestyle preferences. This study seeks to analyze the factors influencing the use of these applications. The conceptual framework combines three models: the unified theory of acceptance and use of technology (UTAUT2), the DeLone and McLean information system (IS) (D&amp;M IS) success model, and the protection motivation model. Conducted in Saudi Arabia, the research employed a quantitative methodology with a survey questionnaire administered to 572 customers. The study, validated through partial least squares (PLS) structural equation modeling (PLS-SEM), identified several significant predictors for the intention to use smartphone diet applications. These include performance expectancy (PE), effort expectancy (EE), social influence (SI), price value (PV), IS, and service quality (SEQ), as well as perceived vulnerability and perceived severity. Contrary to expectations, factors like facilitating conditions (FCs) and hedonic motivation (HM) did not significantly impact behavioral intention. This pioneering study sheds light on the adoption of smartphone diet applications in an emerging economy, offering valuable insights for scholars, developers, and health professionals.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/4881810","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of Game Involvement on Attention to Ads: Exploring Influencing Factors of Visual Attention to Game Ads on Instagram Stories","authors":"Yi-Ting Huang,&nbsp;An-Di Gong","doi":"10.1155/2024/3706590","DOIUrl":"https://doi.org/10.1155/2024/3706590","url":null,"abstract":"<p>Instagram Stories advertising has the advantages of precise targeting, diverse advertising formats, and a wide range of users; it has, thus, become an important medium for mobile game marketing. To find the most effective ad designs for mobile games on Instagram Stories, this study applied the stimulus-organism-response (S-O-R) theory to investigate how game involvement and ad designs affect users’ visual attention. Visual attention is an important physiological indicator of advertising effectiveness, and eye-tracking technology can accurately assess consumers’ visual attention. This study applied eye-tracking technology to 80 participants, grouped as follows: high-involvement gamers, low-involvement gamers, and nongamers. This study used the eye movement indicators for first fixation duration (FFD) and total fixation duration (TFD) to, respectively, evaluate the attentional salience and hold of mobile game ads. The ads were presented in three formats (5 s video, 15 s video, and 5 s image) with two types of content (gameplay and game characters). Results showed that the mobile game ads on Stories exerted the highest attentional hold on high-involvement gamers. In terms of ad format, video ads offered a higher attentional hold and attentional salience. In terms of ad content, ads that introduced game characters resulted in better attentional salience; however, ads that introduced gameplay exerted better attentional hold for nongamers. This study examined both individual differences in media users and ad design to provide recommendations for the personalization of mobile game ads for social media. For example, ads designed for a high-involvement gamer should incorporate more diverse and complex information. In addition, we found that when the marketing goal is the promotion of game characters, image ads are the most appropriate format.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/3706590","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141967671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying Educational Programming Language-Based Learning to Enhance the Programming Skills of Non-ICT Engineering College Students","authors":"Jorge Rodas-Silva,&nbsp;Jorge Parraga-Alava,&nbsp;Mariuxi Vinueza-Morales,&nbsp;Ana Eva Chacón Luna,&nbsp;Jesennia Cárdenas-Cobo","doi":"10.1155/2024/4918351","DOIUrl":"https://doi.org/10.1155/2024/4918351","url":null,"abstract":"<p>The need for knowledgeable programmers has increased, highlighting the importance of strong programming foundations in engineering education. Limited access to high-quality learning materials and educational opportunities presents challenges unrelated to information and communication technology (ICT) field (non-ICT-related) students in acquiring programming skills. Educational programming languages (EPLs) such as App Lab have gained popularity as they offer an accessible platform for students to learn programming fundamentals in a visual and interactive manner. This paper examines the impact of the EPL called App Lab on the development of fundamental programming skills among non-ICT-related field engineering college students. We conducted a quasiexperimental research study using a single-blinded, nonequivalent control group pretest–posttest design. The study included 56 participants, all of whom were enrolled in the Environmental Engineering and Biotechnology program at the State University of Milagro (UNEMI), Ecuador. The experimental group consisted of 26 students, while the control group comprised 30 students. The assessment process involved the administration of a battery of 200 questions before and after the intervention. The intervention involved the use of App Lab as an EPL and lasted for a duration of 3 weeks exclusively for the experimental group, while the control group followed their usual tutoring program. The study results showed that students who received EPL-mediated learning with App Lab had significant increase in their programming skills. App Lab demonstrated a positive impact, particularly among male students who reported Internet usage, as well as in advanced programming topics including loops, lists, and functions, when compared to their female counterparts.</p>","PeriodicalId":36408,"journal":{"name":"Human Behavior and Emerging Technologies","volume":"2024 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/4918351","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141967470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}