Computers in human behavior reports最新文献

{"title":"Feasibility and acceptance of a virtual reality-based program for cognitive and physical training in older adults with cognitive complaints: A pilot randomized controlled trial","authors":"Sara Arlati,&nbsp;Flaminia Franchini,&nbsp;Andrea Zangiacomi,&nbsp;Simona Gabriella Di Santo","doi":"10.1016/j.chbr.2026.101231","DOIUrl":"10.1016/j.chbr.2026.101231","url":null,"abstract":"<div><div>Virtual Reality (VR)– based interventions have emerged as promising tools to support cognitive health in older adults; however, evidence on their clinical impact and real-world acceptability remains mixed. This study investigated the feasibility, acceptance, and preliminary effectiveness of a 12-week program using a VR system to provide cognitive stimulation (CS), physical exercise (PE), or their combination (CS + PE) to older adults with cognitive complaints. Eighty community-dwelling older adults with MCI or SCD were enrolled in the study and allocated via block-randomization to CS, PE, CS + PE, or a control group. Participants in the intervention arms trained twice weekly for 12 weeks within VR-based environments simulating everyday activities (supermarket tasks, street-crossings, and park cycling). Cognitive, functional, and emotional measures were collected at baseline, post-intervention, and four-month follow-up. Acceptance and user experience were assessed through questionnaires and semi-structured interviews at the end of the training. Results revealed that the cognitive status remained globally stable in all groups, even if CS and CS + PE showed positive trends in long-term verbal memory compared to controls, persisting at follow-up. PE alone did not result in any cognitive improvements. User experience was positive: participants valued ecological scenarios, clarity of interactions, and perceived cognitive challenge. Reported barriers included boredom, task length, and insufficient customization. While cognitive effects were limited, users perceived meaningful benefits in attention, daily functioning, and self-efficacy. Future work should include larger samples and possibly individuals with more severe cognitive impairment. Our results suggest focusing on customization and enhanced motivational features to promote higher participants’ engagement.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101231"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736776","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":"Youth nude image sharing and videochatting with online-only contacts","authors":"Kailey Roche,&nbsp;Amanda Goharian,&nbsp;Tim O'Gorman,&nbsp;Melissa Stroebel,&nbsp;Michael C. Seto","doi":"10.1016/j.chbr.2026.101259","DOIUrl":"10.1016/j.chbr.2026.101259","url":null,"abstract":"<div><h3>Introduction</h3><div>It is increasingly common for youths to engage in online communication involving sexual image sharing. While prior research has focused on peer sexting or adult solicitation of youths, less is known about youths’ sharing of nude images or engaging in nude videochatting with individuals they know only online. This study examined correlates of these behaviors among American youths.</div></div><div><h3>Methods</h3><div>Secondary analyses were conducted from a sample of 1200 American youths aged 9 to 17 years (Mage = 13.5, 50% cisgender boys). Outcomes included sending nude or near-nude images and engaging in private nude or near-nude videochatting with someone only known online. Correlates included youth demographics, risky online behaviors, experiences with sexual solicitation, platform use, and invitations to move from public to private online spaces.</div></div><div><h3>Results</h3><div>Seven percent of youths reported sending nude images and 5% reported nude videochatting with someone they only knew online. Regression analyses indicated that flirting, talking about sex, and being solicited for nudes were associated with sending nude images, while flirting, talking about sex, and being asked to move to a private chat were associated with nude videochatting. Effect sizes ranged from small to moderate.</div></div><div><h3>Conclusions</h3><div>Youth nude image sharing with people known only online was most strongly associated with behaviors and interactions rather than demographics or solely the type of platform used. Identity uncertainty in online interactions can increase youth vulnerability and warrants greater attention in the research and prevention of online exploitation.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101259"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148776486","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 longitudinal relationships between smartphone addiction and depressive symptoms among adolescents: A cross-lagged panel network analysis","authors":"Shiwei Liu,&nbsp;Sen Chen,&nbsp;Zijian Liu,&nbsp;Sensen Song,&nbsp;Hao Zhang","doi":"10.1016/j.chbr.2026.101241","DOIUrl":"10.1016/j.chbr.2026.101241","url":null,"abstract":"<div><div>The co-occurrence of smartphone addiction and depression is a growing concern among adolescents. From a network perspective, this comorbidity may arise from dynamic interactions between symptoms that bridge these two issues. However, previous studies have rarely examined these associations at the symptom level or identified central symptoms underlying the overlap between smartphone addiction and depressive symptoms among adolescents. To address this gap, this study investigated the longitudinal relationships between smartphone addiction and depressive symptoms in 936 Chinese adolescents (<em>Mage</em> = 15.93, <em>SD</em> = 0.52; 38.03% girls) using Cross-Lagged Panel Network (CLPN) analysis over a three-month interval. The findings indicated that specific depressive symptoms, namely ‘Meaninglessness’ (Out-Expected Influence [OEI] = 1.76) and the smartphone addiction symptoms such as ‘Phone tolerance’ (OEI = 0.70), predicted the subsequent development of symptoms for each mental health issue. ‘Meaninglessness’ showed the highest OEI across all symptom nodes, whereas ‘Phone tolerance’ demonstrated the highest OEI specifically within the smartphone addiction symptoms. Furthermore, ‘Meaninglessness’ (Bridge Expected Influence [BEI] = 2.06) and ‘Apathy’ (a depressive symptom; BEI = 1.47) were identified as critical bridge symptoms linking the smartphone addiction and depressive symptoms. These findings provide evidence of temporal predictive associations between smartphone addiction and depressive symptoms and identify ‘Meaninglessness’ and ‘Apathy’ as key candidate symptoms that may warrant further attention in future prevention and intervention research.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101241"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148776487","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":"Designing chatbots for E-commerce engagement: A multi-study approach","authors":"Nam Tien Duong,&nbsp;Thuy Bui,&nbsp;Chi Minh Nguyen","doi":"10.1016/j.chbr.2026.101265","DOIUrl":"10.1016/j.chbr.2026.101265","url":null,"abstract":"<div><div>This study investigates how anthropomorphism design cues in shopping chatbots influence consumers’ perceptions and usage intentions on online shopping platforms. Using a sequential mixed-methods design, qualitative interviews identified two key dimensions of chatbot anthropomorphism: interactive personalization cues and conversational emotional cues. Three controlled experiments with Vietnamese online shoppers tested their effects on perceived shopping security, perceived recommendation quality, shopping enjoyment, and subsequent usage intentions. Findings reveal that emotional message cues significantly enhance consumer perceptions and intentions, while personalization cues alone have a limited impact. Moreover, the interaction between the two cue types was insignificant. Mediation analysis confirmed that perceived security, recommendation quality, and enjoyment transmit the effects of emotional cues on adoption intention. These results highlight the importance of designing emotionally expressive chatbots to foster trust, satisfaction, and continued engagement in online shopping contexts.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101265"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148843404","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":"What makes good digital time? Finding the balance between productivity and control","authors":"Christine Schoetensack,&nbsp;Vanda Černohorská,&nbsp;Katarzyna Goncikowska,&nbsp;Sébastien Chappuis,&nbsp;Tereza Klegr,&nbsp;Georgina Giner-Domínguez,&nbsp;Joanna Witowska,&nbsp;Julie Papastamatelou,&nbsp;Marc Wittmann,&nbsp;Rafael Valenzuela,&nbsp;José Vicente Pestana,&nbsp;Núria Codina,&nbsp;María Salette Marentes Castillo,&nbsp;Quentin Meteier,&nbsp;Mónica Fernández Boente,&nbsp;Chantal Martin-Soelch,&nbsp;Ruth Ogden","doi":"10.1016/j.chbr.2026.101219","DOIUrl":"10.1016/j.chbr.2026.101219","url":null,"abstract":"<div><div>There is growing awareness that wellbeing in today's digital age cannot simply be achieved by minimising digital engagement. Instead, it requires living well <em>with</em> digital technology and pursuing digital practices that afford a sense of productivity and user control. This study sought to identify and distinguish between types of digital technology use viewed as ideal, acceptable or tolerable and negative and determine what factors contribute to digital practices being evaluated this way. 50 semi-structured interviews were conducted with individuals from the UK population. An inductive and interpretative thematic analysis of the data led to the creation of four themes, which differentiated between digital practices associated with (1) high productivity and high control (ideal digital engagement), (2) high productivity and low control (acceptable or tolerable technology use), (3) low productivity and low control (negative digital practices) and (4) low productivity and high control (mixed digital experiences). Quality of digital experience was shaped by how well the type of productivity afforded by specific digital practices aligned with user goals in a specific context and how well these practices supported user control in interaction with the context of digital engagement. As control was perceived to be restricted by external factors, such as digital functions and social norms, control-enhancing structural, societal and social changes may be needed to support digital wellbeing. In addition, non-prescriptive education that raises awareness of productivity and control as broad principles of good digital time could be helpful. However, further research is needed to investigate the effectiveness of such interventions.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101219"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148641832","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":"An empirical study of Facebook use among students at a public university in Bangladesh","authors":"Ram Proshad Barman","doi":"10.1016/j.chbr.2026.101217","DOIUrl":"10.1016/j.chbr.2026.101217","url":null,"abstract":"<div><div>The purpose of the study is to investigate the influence of Facebook (FB) as a social networking site on six dependent variables following FB influence model (FIM), uses and gratification model (UGT) and Dual model; bridging and bonding social relationships, social learning, socialization, social capital, social isolation, and FB addiction while FB users who feel pleasure in utilizing the platform, has been taken as an independent variable. This study employs both quantitative and qualitative research approaches. Begum Rokeya University, Rangpur (BRUR) is selected purposively, an online survey is conducted for 385 students as respondents using simple random sampling from between January and May 2023. In addition, twelve case studies are conducted to draw qualitative conclusions in depth. The Chi-square test produces the following results of the hypotheses: bridging and bonding social relationship are significantly associated with pleasant FB connection (χ2 = 19.450, ρ (0.001) &lt;0.05 (<em>H</em>1). Pleasant FB connection and its associated elements significantly influence respondents' information and learning (χ2 = 26.344, ρ (0.000) &lt;0.05 (<em>H</em>2). Pleasant FB connection has a strong impact on socialization (χ2 = 7.533, ρ (0.006) &lt;0.05 (<em>H</em>3). The association between Pleasant FB connection and building social capital is highly significant (χ2 = 29.852, ρ (0.000) &lt;0.05 (<em>H</em>4). In response of experience, more usage of FB is significantly associated to addiction among users, resulting in economic and health concerns (χ2 = 79.429, ρ (0.000) &lt;0.05 (H5). Lastly, pleasant FB connection and social isolation have a great connection (χ2 = 6.693, ρ (0.010) &lt;0.05 (<em>H</em>6).</div><div>The study also discovers that FB provides its users with a variety of benefits, such as bridging sociability, information dissemination (especially during crises), self-branding, social capital and in the socialization process. Conversely, FB introduces a variety of negative consequences, such as sleep disturbances, psychological distress and social isolation. Thus, the study demonstrates that students can profit from their surroundings while taking into consideration time and place in a highly communicative system without causing harm. Finally, the study will benefit the media researchers, policy makers relevant to the behavioral issues and specially for the FB users who have great passion and curiosity for the platform.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101217"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148641844","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":"Predictors of user experience and long-term use of an ambient assisted living platform by frail older adults: Results from the HomeAssist study","authors":"Lucile Dupuy,&nbsp;Juliette Deyts,&nbsp;Marion Pech,&nbsp;Rafik Belloum,&nbsp;Karine Pérès,&nbsp;Hélène Amieva,&nbsp;Hélène Sauzéon","doi":"10.1016/j.chbr.2026.101218","DOIUrl":"10.1016/j.chbr.2026.101218","url":null,"abstract":"<div><h3>Background and objectives</h3><div>Frailty is a geriatric condition recognized as threatening independent living, while fortunately responding positively to environmental interventions. For supporting aging-in-place, the HomeAssist project was one of the first to conduct a 2-year experiment on a personalized ambient assisted living (AAL) platform, among a population of 131 frail older adults living alone in their home. Interestingly, despite a human-centered design, after 24 months, only 18 older users wanted to continue using the platform. We thus aim to understand the factors influencing use or dropout of HomeAssist.</div></div><div><h3>Research design and methods</h3><div>On the basis of many health and psychosocial factors collected for the project, and variables related to the experience of using the platform, we applied ordinal logistic regression models to predict user experience (UX) and long-term use of HomeAssist.</div></div><div><h3>Results</h3><div>We obtained acceptable to good predictions of UX dimensions (McFadden's pseudo-R² ranged from 0.11 for pragmatic attributes to 0.21 for appeal), and observed that these dimensions were mainly predicted by other dimensions of UX, rather than individual characteristics. Regarding prediction of long-term use, the last model suggested that the only two predictors were user's education and computer ownership, with an acceptable quality of prediction (McFadden's pseudo-R² = 0.13).</div></div><div><h3>Discussion and implications</h3><div>These findings suggest that an AAL platform designed with a user-centered approach results in an experience that is less influenced by individual characteristics than previous results. This finding may help explain why the ultimate use of HomeAssist is not predicted by psychosocial and health factors in our models, but rather by education level, as reflecting the persistent digital divide across social groups.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101218"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148642451","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 future of consumer intelligence: A systematic literature review of AI in neuromarketing","authors":"Fitri Aprilianty,&nbsp;Yoshiyuki Matsuura,&nbsp;Masakazu Takahashi","doi":"10.1016/j.chbr.2026.101239","DOIUrl":"10.1016/j.chbr.2026.101239","url":null,"abstract":"<div><div>Artificial intelligence has substantially advanced neuromarketing's capacity to analyze subconscious consumer cognition and develop novel computational approaches. Yet the field lacks a unified synthesis of AI's effects across methodology, theory, and practice, hindering both theoretical and empirical advancement. This systematic literature review analyzes 95 peer-reviewed studies from Web of Science and Scopus to examine: (1) current AI applications in neuromarketing; (2) predominant methodologies and technologies; (3) AI's impact on foundational theories; (4) research gaps and limitations; and (5) future trajectories for AI-driven neuromarketing. Results highlight fourteen AI applications, such as emotion detection and predictive analytics, shifting neuromarketing from conventional techniques to real-time consumer insights. 72% of research favours conventional methods over deep learning, despite the fact that AI enhances entire workflows from data collection to personalised distribution. Artificial intelligence challenges established theories (Dual-Process, ELM, Prospect Theory) by revealing dynamic cognitive processes, subconscious decision-making, and evolving constructs. Significant gaps remain: limited multimodal integration (20%), underutilized advanced AI (28%), validation issues, and privacy challenges. Federated learning, ecological validation, multimodal integration, privacy regulation, explainable AI, and adaptive frameworks are the six strategic priorities that have been identified. These findings offer a framework for navigating AI's transformative effects on neuromarketing as a developing commercial field while tackling methodological and ethical challenges.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101239"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736336","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":"Maladaptive risk-taking in internet gaming disorder tracks variability in value-related neural computation","authors":"Zhiyuan Liu,&nbsp;Shuai Jin,&nbsp;Shenghao Shi,&nbsp;Lin Li,&nbsp;Sijia Liu","doi":"10.1016/j.chbr.2026.101240","DOIUrl":"10.1016/j.chbr.2026.101240","url":null,"abstract":"<div><div>Internet gaming disorder (IGD) is characterized by continued gaming despite negative consequences, suggesting impairments in risky decision-making. The present study examined whether maladaptive risk-taking in IGD is associated with alterations in value evaluation by using a sequential risk-taking task while electroencephalography (EEG) was recorded. Behaviorally, individuals with IGD opened more boxes with negative expected values (NEV boxes) than healthy controls (HCs) when risk outweighed reward, whereas no group difference was observed for boxes with positive expected values (PEV boxes) when reward outweighed risk, suggesting a maladaptive risk-taking pattern under disadvantageous conditions. At the neural level, individuals with IGD showed reduced P2 amplitudes for NEV boxes, but not for PEV boxes. Time-resolved decoding analysis further showed that, within the IGD group, lower peak decoding accuracy in distinguishing NEV boxes from PEV boxes, reflecting poorer neural discrimination of option values, was associated with more frequent opening of NEV boxes. These findings suggest that individual variability in value-related neural computation is associated with maladaptive risk-taking in IGD. Additionally, individuals with IGD showed enhanced P1 amplitudes in response to loss outcomes, while the association between loss-related P1 amplitudes and reduced risk-taking was observed only in HCs. These findings suggest that risky decision-making abnormalities in IGD may involve both alteration in the evaluation of option value before action selection and inefficient use of negative outcome feedback after decisions.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101240"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736783","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":"From verification to virality: Psychological and behavioral drivers of engagement with perceived non-malicious deepfakes","authors":"Chin Lay Gan,&nbsp;Yi Yong Lee,&nbsp;Vimala Balakrishnan","doi":"10.1016/j.chbr.2026.101272","DOIUrl":"10.1016/j.chbr.2026.101272","url":null,"abstract":"<div><div>Deepfakes, AI-generated media that modify images, videos, or audio, represent a rapidly expanding digital phenomenon. While prior research has emphasized deepfakes in misinformation, limited attention has been given to user interaction with non-malicious deepfakes. This study employs the Approach–Avoidance Motivation Framework to examine motivational orientations and applies Goal Framing Theory to assess normative, hedonic, and gain motivations. Findings indicate that social media news use and skepticism positively predict verification intentions, whereas government engagement does not. Perceptions of reasonable use and non-deceptiveness influence ethical acceptability, which does not significantly predict viral behavioral intention. Perceived enjoyment, gain motivation, and verification intentions positively affect viral behavioral intention toward educational and entertainment-oriented non-malicious deepfakes, with gain motivation exerting a stronger effect among highly conscientious individuals. These results advance theoretical understanding of user engagement with synthetic media and suggest that governance and digital literacy initiatives should differentiate educational and entertainment-oriented non-malicious deepfakes from higher-risk forms, balancing creative engagement with transparency and responsible use.</div></div>","PeriodicalId":72681,"journal":{"name":"Computers in human behavior reports","volume":"23 ","pages":"Article 101272"},"PeriodicalIF":5.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148776396","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}