bluuebunny/crossref_metadata_2025_split huggingface dataset:
Internet Use and the Utilization of Home-Community Elderly Care Services in China
Authors: Xia Xueqing , Zhu Mingbao 
Published: January 2025

Abstract

As a key medium of the information age, the Internet has shown tremendous potential in improving the utilization of Home-Community Elderly Care Services for the older adults. This study is based on the 2018 China Longitudinal Aging Social Survey (CLASS) data, and employs the Probit regression model to explore the impact of Internet use on the utilization of Home-Community Elderly Care Services by the older adults. The study found that Internet use significantly increased the probability of older adults utilizing Home-Community Elderly Care Services. After further mitigating potential endogeneity using methods such as Propensity Score Matching (PSM) and instrumental variables, the results remained robust. Mechanism analysis revealed that Internet use promotes the utilization of Home-Community Elderly Care Services by increasing access to information and enhancing the health literacy of the older adults. Heterogeneity analysis indicated that the impact of the Internet use is greater on elderly groups that are female, have a higher level of education, and live in urban communities. To further optimize the elderly care service system, it is recommended to increase the construction of Internet infrastructure, carry out digital skills training for the older adults, and improve the transparency of service information, thereby promoting the popularization of smart elderly care services and improving the quality of life for the older adults.
Exploring the territories of climate governance: a systemic and network approach illustrated in the case of Chile
Authors: Billi Marco , Barrantes Gabriel , Orellana Paz , Bórquez Roxana , Azocar Gabriela 
Published: January 2025

Abstract

Meta-governance literature has sought to move towards more integrated governance approaches that overcome the current fragmentation of policies and initiatives, while recognizing the need to adjust these models to the characteristics of each specific territory. For this effort to be effective, however, it must recognize the new and heterogeneous ‘territories’ of climate change governance and its normative and socio-political implications. In light of this, we propose a novel approach based on a systemic perspective, which allows us to conceptualize governance as ‘third-order couplings’ in territorial systems. This approach is applied to the analysis of climate governance in Chile, focusing on the interactions between physical elements, ecosystem services and regulations, especially analyzing the interpenetration between water management and climate change policies. The analysis reveals spaces of fragmentation, duplication and incoherence in the domain of laws, regulations and governance actors, which are contrasted with the underlying interactions at the hydroclimatic system level. We identify three key gaps: i) the disconnect between different ‘objects’ of regulation ii) the fragmentation between actors, policies and regulatory Frameworks; and, c) the tension between conservation and adaptation. These limitations are not contingent, but rather deeply embedded in the historical way in which public bodies have observed the environment as an object of steering and regulation: as a siloed conglomerate of individual processes and domains of intervention instead than as integrated socio-ecological system. We conclude that it is essential to move towards integrated climate governance that recognises territorial interdependencies, strengthening coordinated planning and promoting a regulatory framework that reflects the complexity of socio-ecological systems.
A Car-following Model for CAVs Integrating State Information from Multiple Leading and Single Following Vehicles
Authors: Chen Yongsheng , Cheng Guozhu 
Published: January 2025

Abstract

To uncover the root causes of congestion in traffic flow involving connected and autonomous vehicles (CAVs) and improve stability, this study introduces the Multi-Leading and Single-Following Vehicles State Information Car-Following (MLSFICF) model for CAVs. The model is based on the classical optimal velocity car-following framework and its advanced extensions, integrating the combined effects of complete state information from multiple leading vehicles and a single following vehicle, such as headway, velocity differences, and acceleration. Linear stability analysis is used to determine the model's critical stability conditions, while nonlinear analysis derives the Korteweg-de Vries (mKdV) equation to describe the evolution of traffic congestion near these critical points. Numerical simulations indicate that the MLSFICF model achieves superior stability compared to the FVD, FVDA, BLVD, MHVD, and ACC/CACC models from the PATH laboratory. In mixed traffic conditions, higher CAV penetration rates progressively enhances traffic stability and reduces congestion. This model offers a theoretical foundation and practical guidance for simulating traffic flow involving CAVs, facilitating effective traffic management and congestion mitigation.
The long isoform of PRLR promotes tumor progression by regulating CDK6 through MAPK signal pathway in SHH medulloblastoma
Authors: Sun Ziwen , Li Haishuang , Peng Yu , Liu Yantao , Wang Yujia , Wang Jing , Liu Xiaodan , Zheng Danfeng , Liang Hui , Chang Qing 
Published: January 2025

Abstract

Medulloblastoma (MB) is the most common malignant brain tumors in children. Sonic Hedgehog (SHH) subgroup of MB accounts for about 25% of all MBs. SMO inhibitors are used for target therapy. However, drug resistance and toxicity occurred. New therapeutic targets are urgently needed to be developed. Here, through RNA-sequencing and Nanostring Assay analysis of primary MBs, we screened out prolactin receptor (PRLR) as a gene with higher expression level in SHH-MB compared with other subgroups of the tumor. Long isoform of PRLR (PRLR-LF) played a pivotal role in promoting SHH-MB tumor invasion, enhancing the proliferation and colony formation ability. KEGG analysis showed that PRLR-LF expression has close relationship with p53 signal pathway in SHH-MB cells. High expression of CDK6 downstream of the p53 pathway was observed to have a high correlation with PRLR expression, indicating a poor prognosis of the tumor. In addition, PRLR was demonstrated to promote cell proliferation by regulating CDK6 through Ras-MAPK signal pathway in vitro. Synthesized recombinant Δ1-11-G129R-PRL, a competitive inhibitor of PRLR, interfered PRL-PRLR binding, could inhibit the regulation to CDK6, and could and inhibit the proliferative ability of SHH-MB tumor cells. In conclusion, we unveiled PRLR promoted SHH-MB tumor progression through signaling pathway besides the canonical SHH pathway. PRLR inhibitor shed light on a potential therapeutic value for SHH-MB patients.
Therapists' Perspectives on AI Integration in Couple and Family Therapy
Authors: Aviram Alon 
Published: January 2025

Abstract

Objective
This study investigates therapists' perceptions and experiences using Generative AI in couple and family therapy, focusing on its benefits, challenges, and ethical considerations.
Background
As Generative AI continues to transform various industries, its application in therapeutic practices, particularly couple and family therapy (CFT), remains underexplored. CFT introduces unique dynamics and complexities, which pose specific challenges for AI integration in therapy settings.
Method
This qualitative study utilized a purposive sample of 25 experienced couple and family therapists. In-depth, semi-structured online interviews were conducted, and constructivist grounded theory was applied to analyze key themes emerging from the data.
Results
Three central themes were identified: Ethical and Privacy Concerns, the Impact of AI on the Therapeutic Relationship, and Future Directions and Worries. These themes offer a detailed understanding of AI's potential to enhance therapy while highlighting the significant risks and ethical dilemmas it introduces.
Conclusion
This study reveals that while AI can augment therapeutic practices through data-driven insights and improve intervention effectiveness, there are concerns about data confidentiality and the depersonalization of therapy. The findings underscore the need for a balanced approach to AI integration in therapy, ensuring the maintenance of the human connection central to therapeutic success.
Implications: The study emphasizes the importance of developing ethical guidelines for AI use in therapy, enhancing technological literacy among therapists, and ensuring informed client consent. Future research should explore the long-term impact of AI on therapeutic relationships and address privacy concerns, providing strategies for the ethical integration of AI in couple and family therapy.
Exploring the use of Virtual Reality to enhance rapid decompression from occupational stress during short wellness breaks for content moderators
Authors: Spence Ruth , Campbell Natalie , Woofenden Tom , Marco Jeffrey 
Published: January 2025

Abstract

Virtual reality (VR) has the potential to be a popular stress management tool in workplaces, however its efficacy has yet to be tested on content moderators (CMs). This study used an experimental design where CMs were randomly assigned to either: 1) VR, 2) non-screen activity or 3) control condition for a six-week period. Adherence data regarding a further four-week period was also collected and focus groups were conducted. The results demonstrated no significant differences in trait anxiety or occupational stress between baseline and follow-up for the three conditions. However, consistent with previous studies state-based stress and mood showed improvements after engaging with the activities. Specifically, participants in the VR condition showed reductions in state stress, whilst all conditions showed increases in state mood. The adherence data showed continued use of VR and non-screen activities for some CMs after the six-week experimental period finished and a focus group highlighted the logistical challenge of utilising VR setup within the allotted time. The results suggest VR may be a useful intervention for some types of occupational stress, if used during brief break times, it needs to be embedded within a logistical process that alleviates time pressure.
Feasibility of Psychiatric Consultation by Metaverse for Youths with Mental Health Conditions
Authors: Ishii Mio , Fujita Junichi , Toyohara Nao , Ide Keiko , Moroga Tomoko , Takayama Mizuho , Asami Takeshi , Miyazaki Tomoyuki 
Published: January 2025

Abstract

Background
The unmet needs of young people for mental health services (MHSs) remain a significant issue. Despite the high demand, many young people are unable to access timely and high-quality MHS. The Metaverse, a virtual space where people interact and communicate through avatars, is expected to introduce new possibilities for MHS. This study aims to investigate the feasibility of using the Metaverse for mental health consultations with young people experiencing mental health conditions.
Methods
This qualitative observational study was conducted at a single institution via semistructured interviews. Participants aged 16–24 years who were aware of mental health conditions were assigned to experience a metaverse consultation with a psychiatrist through avatars. Afterward, participants were interviewed to assess the feasibility, usability, and influencing factors of metaverse-based consultation.
Results
Twenty-six participants were assigned, and all completed the study without any adverse psychological events. Some reported minor physical effects, such as headaches and VR-related sickness. The findings from the postinterview suggest that metaverse consultations may be particularly beneficial for individuals experiencing interpersonal anxiety, those with high sensory sensitivity due to autism spectrum disorder, those who struggle outside due to psychiatric conditions such as depression or agoraphobia, those with strong psychological resistance to receiving psychiatric care, and those who feel uncomfortable disclosing their own physical appearance in real-life settings (e.g., gender incongruence).
Conclusions
Metaverse psychiatric consultation is feasible for young people with mental health conditions, particularly for individuals with specific needs. Technical and accessibility issues must be addressed to enhance its effectiveness.
Enhancing Medication Error Reporting through Interprofessional Education: Analysis of MedWatch Reporting Accuracy and Completion Rates Between Teams and Individuals
Authors: Saad Aline H. , Bondok Rehab , Sayeg Farah , Barnes Brian J. , Rukat Caitlin , Garwood Candice , Levine Diane L. 
Published: January 2025

Abstract

Background: Each year, the Food and Drug Administration receives over 100,000 medication error reports, which are likely underreported. Interprofessional education (IPE) is well positioned to provide team-based training regarding medication safety and related reporting tools. This study evaluated the effectiveness of a single IPE session designed to improve the completion and accuracy of healthcare professional students’ reporting of medication errors.
Methods: An IPE session, with medical and pharmacy students, presented a case report involving a medication dispensing error that resulted in a patient’s death. The session included three components: the case presentation; a discussion of the implications of the medication error on the patient, family, and care providers; and a hands-on activity where students practiced error reporting using a simulated MedWatch platform. The students' reports were analyzed for completeness and accuracy, based on data available from the case presentation. Individual versus team submissions across disciplines were compared.
Results: Of the 701 participants who completed the session between 2021 and 2024, 225 submitted the simulated MedWatch report (32% response rate). This final sample included 111 medical students, 53 pharmacy students, and 61 interprofessional teams. The median form completion rate for teams was 88.9% compared to 55.6% for individuals. Teams demonstrated higher form accuracy rates (66.7%) compared with individuals (38.9%). Students agreed that practicing the reporting of an adverse drug event was a useful activity, while pharmacy students (p=0.014) and teams (p=0.043) felt more confident reporting an adverse drug event than medical students after this activity.
Conclusion: Following an IPE training session focused on error reporting, we observed that team-based submission of MedWatch forms resulted in improved completion and accuracy rates. Integrating an interprofessional training session focused on medication safety and error reporting in health professionals’ curricula appeared to be effective in the short term. Longer term studies are necessary to determine the impact and durability of this training.
Broadening the Perspective of Traditional Lecturing vs. Active Learning in Introductory College Biology
Authors: Aguiar Adam A. , Calabrese Jennifer 
Published: January 2025

Abstract

This research aimed to examine the effectiveness of traditional lectures versus active lectures in introductory college biology classes composed of science and non-science majors, a topic of significant importance in the field of education. In a traditional lecture, the researcher used PowerPoint to present class content while answering direct student questions. In contrast, an active lecture included a PowerPoint, a collaborative group activity, and class dialogue. Students were given pre- and post-class surveys to assess content learning and open-ended questions to examine learning preferences. The results demonstrate a significant increase in student understanding after both lectures, with a statistically more significant score change from the pre- to post-test for the active lecture. Moreover, students expressed a higher level of enjoyment in the active class. These findings underscore the potential of active learning in enhancing student understanding and engagement. Given the variability in learning styles, this study highlights the importance of devising mechanisms to gauge and implement the optimal extent and types of active learning strategies. The study's results suggested that reframing the active vs. traditional lecturing binary paradigm into a continuum may help instructors plan courses to best meet students' needs.
Incidence of Adverse Drug Reactions in HIV/AIDS patients in China: an active monitoring study using leveraging natural language processing and machine learning
Authors: Sun Ji , Huang Juanjuan , Ma Junlong , Qi Hui , Zhou Guoqiang , Huang Shiqiong , He Gefei 
Published: January 2025

Abstract

To evaluate the incidence and type with adverse drug reactions (ADRs) among HIV/AIDS patients by Hospital Intelligent Pharmacovigilance System. A retrospective analysis was performed on 3971 HIV/AIDS patients admitted to the First Hospital of Changsha in China, from January 1, 2022 to December 31, 2023. Intelligent Recognition Models with Natural Language Processing Techniques for Intelligent Monitoring Systems was used to detect ADR signals of hospital information system. The causality risk factors for the ADRs of adverse drug reactions were classified using the WHO-UMC system. Our results showed that the prevalence of ADRs was 15.69% in the patients, which mainly was predominated by skin and appendages disorders and gastrointestinal (GI) disorders (2.87% vs. 2.67% ). The most of the reactions were associated with ADR could be explained by the use of antimicrobials and antiretrovirals with by 34.92% and 26.32%, respectively. 75.36% of ADRs had occurrenceed within 14 days of hospitalization. Together, the incidence of adverse reaction ADRs of patients was significantly high during the treatment period. Moreover, the active monitoring of the CHPS system reflected the adverse reaction ADRs of patients with during COVID-19 treatment in the real world, which provided reference for clinical safe medication in clinic.
Mpox stigma in the UK and implications for future outbreak control
Authors: Paterson Amy , Cheyne Ashleigh , Tulunay Harun , Orkin Chloe , Nutland Will , Dunning Jake , Stolow Jeni , Gobat Nina , Olliaro Piero , Rojek Amanda , Group Outbreak Stigma Assessment Expert 
Published: January 2025

Abstract

Background
Stigma has emerged as a prominent public health challenge in the 2022–2024 global mpox outbreak, impeding outbreak control efforts and the well-being of affected individuals. Addressing stigma is a priority for improving infection prevention and control. Despite its frequent mention in public and policy discourse, robust assessment of mpox stigma is lacking. This study investigated the causes, manifestations, and public health impacts of mpox-related stigma in the United Kingdom (UK).
Methods
We conducted an online, mixed-methods cross-sectional survey to assess mpox stigma. We developed and content validated a new tool, the Stigma Survey and Community-based Assessment for New and Re-emerging outbreaks (Stigma-SCANR) for this purpose. Through quota sampling, the survey targeted populations most affected by mpox at the time of data collection (March–July 2024), including gay, bisexual, and other men who have sex with men (GBMSM), and healthcare workers.
Results
437 respondents were included. Pre-existing prejudices toward groups linked with mpox, such as GBMSM and migrants, were identified as drivers of stigma, alongside fear and misinformation. Most respondents anticipated mpox-related social stigma from a few to half of their community, and more commonly from the public rather than their own social circle. Among the 13 respondents who reported a previous mpox diagnosis, 11 (85%) had experienced mpox-related stigma. Nearly a quarter of respondents (24%) said they would not, or were unlikely to, tell a recent sexual partner about an mpox diagnosis. Feelings of shame were considered the most common barrier to care-seeking (299 respondents, 68%).
Conclusion
This analysis of mpox stigma in the UK offers insights for the current international outbreak response, particularly in countries with similarly affected communities. Lessons learnt may also be transferable to other disease outbreaks. We propose a range of practical recommendations for reducing stigma in future outbreaks, including peer support initiatives, distributing accessible information about safe timelines for returning to socialising and work or school, and co-designing public health communications and contact tracing programmes with affected community members.
Reliability and Validity of a Mobile Three-Dimensional Application for Humeral Retroversion Measurement
Authors: Kim Woo Sub , Park Soo Ji , Lee Seung Yeol 
Published: January 2025

Abstract

Background Humeral fractures and conditions such as Little League Shoulder are common across different age groups, necessitating accurate evaluation of humeral retroversion, especially in preoperative, intraoperative, and postoperative settings. At present, the gold-standard methods for evaluation, such as computed tomography (CT) and magnetic resonance imaging (MRI), although effective, expose patients to radiation and incur high costs, particularly in pediatric patients.Methods This retrospective study reviewed 74 patients who underwent conventional humeral AP radiography, lateral radiography, and CT between May 2020 and July 2022. Using mobile application, conventional radiography-based three-dimensional (3D) humeral reconstruction was performed. Humeral retroversion measurements obtained via the application were compared with those obtained from CT. Reliability was evaluated using intraobserver and interobserver intraclass correlation coefficients (ICCs). In addition, the correlation coefficients between the two methods were calculated.Results Mobile application showed excellent intraobserver reliability (ICC = 0.937) and high interobserver reliability (ICC = 0.901) in humeral retroversion measurements, compared to CT scans, which showed lower ICCs. In addition, no significant difference was found between the retroversion measurements using CT and the mobile application (mean difference: -0.3, p = 0.816). The correlation coefficient between the two methods was strong (0.886, p < 0.001), indicating that the application provides results comparable to those of CT.Conclusion Mobile application offers a reliable, cost-effective, and accessible alternative to CT for evaluating humeral retroversion. It demonstrates comparable accuracy while minimizing radiation exposure and costs, making it an attractive option for clinical practice and research, particularly for pediatric patients and athletes. Future prospective studies are warranted to further validate the application of the mobile application across broader clinical scenarios and establish a standardized approach for measuring retroversion.Level of evidence Level III retrospective cohort study