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Background: Online mental health communities (OMHCs) are an effective and accessible channel to give and receive social support for individuals with mental and emotional issues. However, a key challenge on these platforms is finding suitable partners to interact with given that mechanisms to match users are currently underdeveloped or highly naive., Objective: In this study, we collaborated with one of the world's largest OMHCs; our contribution is to show the application of agent-based modeling for the design of online community matching algorithms. We developed an agent-based simulation framework and showcased how it can uncover trade-offs in different matching algorithms between people seeking support and volunteer counselors., Methods: We used a comprehensive data set spanning January 2020 to April 2022 to create a simulation framework based on agent-based modeling that replicates the current matching mechanisms of our research site. After validating the accuracy of this simulated replication, we used this simulation framework as a "sandbox" to test different matching algorithms based on the deferred acceptance algorithm. We compared trade-offs among these different matching algorithms based on various metrics of interest, such as chat ratings and matching success rates., Results: Our study suggests that various tensions emerge through different algorithmic choices for these communities. For example, our simulation uncovered that increased waiting time for support seekers was an inherent consequence on these sites when intelligent matching was used to find more suitable matches. Our simulation also verified some intuitive effects, such as that the greatest number of support seeker-counselor matches occurred using a "first come, first served" protocol, whereas relatively fewer matches occurred using a "last come, first served" protocol. We also discuss practical findings regarding matching for vulnerable versus overall populations. Results by demographic group revealed disparities-underaged and gender minority groups had lower average chat ratings and higher blocking rates on the site when compared to their majority counterparts, indicating the potential benefits of algorithmically matching them. We found that some protocols, such as a "filter"-based approach that matched vulnerable support seekers only with a counselor of their same demographic, led to improvements for these groups but resulted in lower satisfaction (-12%) among the overall population. However, this trade-off between minority and majority groups was not observed when using "topic" as a matching criterion. Topic-based matching actually outperformed the filter-based protocol among underaged people and led to significant improvements over the status quo among all minority and majority groups-specifically, a 6% average chat rating improvement and a decrease in blocking incidents from 5.86% to 4.26%., Conclusions: Agent-based modeling can reveal significant design considerations in the OMHC context, including trade-offs in various outcome metrics and the potential benefits of algorithmic matching for marginalized communities., (©Yuhan Liu, Anna Fang, Glen Moriarty, Cristopher Firman, Robert E Kraut, Haiyi Zhu. Originally published in JMIR Formative Research (https://formative.jmir.org), 01.10.2024.)

Objective: To observe the effect of nurse-patient co-management mode on preventing venous thromboembolism (VTE) in lung cancer patients with carboplatin and gemcitabine chemotherapy after peripheral venipuncture central venous catheterization (PICC)., Methods: 100 patients with lung cancer admitted to the 2nd Affiliated Hospital of Hainan Medical University from April 2020 to April 2022 were selected. All patients received a combination chemotherapy of carboplatin and gemcitabine and PICC catheterization. The patients were divided into an observation group and a control group by 1:1 simple random method, with 50 cases in each group. Patients in the control group were given routine nursing for lung cancer, and patients in the observation group were treated with nurse-patient co-management mode, and nursing intervention lasted for 2 months. General Comfort Questionnaire, self-management ability, quality of life, Self-care ability Scale, self-rating Anxiety Scale (SAS), and self-rating depression Scale were compared before and after intervention between the two groups. The recovery of immune ability indices (CD3+, CD3+CD4+, CD3+CD8+, CD3+CD4+/CD3+CD8+) in 2 groups were detected. Complications after PICC catheterization were recorded in the two groups., Results: After nursing, self-rating depression Scale and self-rating Anxiety Scale scores in both groups were significantly decreased, which were lower in the observation group than the control group (P < .001). After nursing, scores of self-concept, self-responsibility, self-care skills, and health knowledge level were significantly increased in both groups, which were higher in the observation group than control group (P < .001). After nursing, scores on the General Comfort Questionnaire, self-management scale, and quality of life were increased in both groups, which were higher in the observation group than control group (P < .0501). After nursing care, the immune competence indices of both patients increased significantly, and the immune indexes of CD3+, CD3+CD4+, and CD3+ CD4+/CD3+CD8+ in the observation group were significantly higher than those in the control group (P < .05). The total incidence of complications in the observation group was significantly lower than that in the control group (8.00% vs. 26.00%, P < .001), and the incidence of venous thromboembolism was significantly lower than that in the control group (2.00% vs. 14.00%, P < .001)., Conclusion: The nurse-patient co-management model has shown to be effective in reducing the incidence of venous thromboembolism in patients who have undergone PICC catheterization while receiving carboplatin and gemcitabine chemotherapy. This model also helps patients improve their self-care and self-management abilities, alleviates adverse psychological effects, and contributes to the recovery of their immune system.

Background: Although research shows that the Covid-19 pandemic has led to declines in mental health, the existing research has not identified the pathways through which this decline happens., Aims: The current study identifies the distinct pathways through which COVID-induced stressors (i.e., social distancing, disease risk, and financial stressors) trigger mental distress and examines the causal impact of these stressors on mental distress., Methods: We combined evidence of objective pandemic-related stressors collected at the county level (e.g., lack of social contact, infection rates, and unemployment rates) with self-reported survey data from over 11.5 million adult respondents in the United States collected daily for eight months. We used mediation analysis to examine the extent to which the objective stressors influenced mental health by influencing individual respondents' behavior and fears., Results: County-level, day-to-day social distancing predicted significantly greater mental distress, both directly and indirectly through its effects on individual social contacts, worries about getting ill, and concerns about finances. Economic hardships were indirectly linked to increased mental distress by elevating people's concerns about their household's finances. Disease threats were both directly linked to mental distress and indirectly through its effects on individual worries about getting ill. Although one might expect that social distancing from people outside the home would have a greater influence on people who live alone, sub-analyses based on household composition do not support this expectation., Conclusion: This research provides evidence consistent with the thesis that the COVID-19 pandemic harmed the mental well-being of adults in the United States and identifies specific stressors associated with the pandemic that are responsible for increasing mental distress., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: Robert Kraut is a part-time employee of Meta, the company that partnered with Carnegie Mellon University to collect the data. Kraut had no role in data collection and as part of the data-use agreement was not allowed direct access to the data., (Copyright: © 2022 Kraut et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

A visual prosthesis is an auxiliary device for patients with blinding diseases that cannot be treated with conventional surgery or drugs. It converts captured images into corresponding electrical stimulation patterns, according to which phosphenes are generated through the action of internal electrodes on the visual pathway to form visual perception. However, due to some restrictions such as the few implantable electrodes that the biological tissue can accommodate, the induced perception is far from ideal. Therefore, an important issue in visual prosthesis research is how to detect and present useful information in low-resolution prosthetic vision to improve the visual function of the wearer. In recent years, with the development and broad application of computer vision methods, researchers have investigated the possibility of their utilization in visual prostheses by simulating prosthetic visual percepts. Through the optimization of visual perception by image processing, the efficiency of visual prosthesis devices can be further improved to better meet the needs of prosthesis wearers. In this article, recent works on prosthetic vision centering on implementing computer vision methods are reviewed. Differences, strengths, and weaknesses of the mentioned methods are discussed. The development directions of optimizing prosthetic vision and improving methods of visual perception are analyzed., (© 2021 International Center for Artificial Organs and Transplantation and Wiley Periodicals LLC.)

Objective: Salvanic Acid B (Sal B) was proved to show significant effect against fibrosis and myocardial injury. This study aimed to investigate the protective effects and the mechanisms of Sal B on myocardial fibrosis., Methods: The mice were randomly assigned to five groups: control group, model group, positive group, low-dose group, high-dose group. Hematoxylin-Eosin (HE) staining and Masson staining were used to assess the myocardial physiological changes and measure the myocardial fibrosis area. Expression of transforming growth factor-beta (TGF-β), drosophila mothers against decapentaplegic (Smad)2, Smad3 and Smad7 were analyzed by immunohistochemistry and real-time PCR. On the other hand, mouse cardiac fibroblasts (CFs) cells were co-treated with 20 ng/mL TGF-β1 and different concentrations of Sal B (5, 10, and 20 ng/mL) for 24 h. The cells morphology changes were assessed under a microscope, and the protein expressions induced by TGF-β1 were detected by Western blot., Results: Compared with the model group, myocardial collagen fibers decreased obviously with Sal B treatment (p <  0.05). Moreover, the expression of key signal molecules of the TGF-β/Smads signaling pathway, including TGF-β1, Smad2 and Smad3 proteins decreased, while the expression of Smad7 increased in Sal B treatment groups as compared to those of the model group (p <  0.05). On the other hand, results of CFs studies were also consistent with those animals., Conclusions: Sal B could inhibit the myocardial fibrosis process through regulating TGF-β/Smads signal transduction pathways., (Copyright © 2018. Published by Elsevier Masson SAS.)

Objective: The objective of the paper is to understand leadership in an online community, specifically, Wikipedia., Background: Wikipedia successfully aggregates millions of volunteers' efforts to create the largest encyclopedia in human history. Without formal employment contracts and monetary incentives, one significant question for Wikipedia is how it organizes individual members with differing goals, experience, and commitment to achieve a collective outcome. Rather than focusing on the role of the small set of people occupying a core leadership position, we propose a shared leadership model to explain the leadership in Wikipedia. Members mutually influence one another by exercising leadership behaviors, including rewarding, regulating, directing, and socializing one another., Method: We conducted a two-phase study to investigate how distinct types of leadership behaviors (transactional, aversive, directive, and person-focused), the legitimacy of the people who deliver the leadership, and the experience of the people who receive the leadership influence the effectiveness of shared leadership in Wikipedia., Results: Our results highlight the importance of shared leadership in Wikipedia and identify trade-offs in the effectiveness of different types of leadership behaviors. Aversive and directive leadership increased contribution to the focal task, whereas transactional and person-focused leadership increased general motivation. We also found important differences in how newcomers and experienced members responded to leadership behaviors from peers., Application: These findings extend shared leadership theories, contribute new insight into the important underlying mechanisms in Wikipedia, and have implications for practitioners who wish to design more effective and successful online communities.