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[Purpose/Significance] Under the background of the rapid penetration of the Internet and the aging transformation, the digital divide and Internet addiction of the seniors coexist, and the emerging phenomenon of Internet addiction of the seniors has many potential hazards, which need to be studied urgently. [Method/Process] This study crawled from the Internet published cases of the seniors’ Internet addiction and experts’ analysis opinions, adopted the grounded theory qualitative analysis method, studied the influential factors, behavioral characteristics, adverse consequences and coping strategies of the seniors’ Internet addiction, and constructed a behavioral model and a coping model of Internet addiction among the seniors. [Result/Conclusion] Individual factors (needs and abilities) and contextual factors (IT factors and living factors) jointly affect the formation of the seniors’ Internet addiction behaviors. It is necessary to adopt the multi-subject linkage and collaborative governance, adopt the strategies of satisfying the needs of emotional relationship, promoting the seniors’ digital inclusion, transforming the Internet care for the seniors and optimizing the seniors’ living space, so as to guide the seniors to use the Internet correctly and build an age-friendly digital inclusive society.

With the development of the sharing economy, online ride-sharing has become a primary form of commuting. Using secondary transaction data, this study investigates the associations between the heterogeneous features and mutual trust in sharing economy-driven online ride-sharing transactions. Based on an examination of 12,404 ride-sharing orders in Beijing, we propose a set of trust distribution maps using order location data to reveal heterogeneous spatial patterns of the relationship between online ride-sharing transactions and mutual trust. The results show that the historical order completion rate and order distance are positively associated with mutual trust in ride-sharing transactions, whereas order time and departure density negatively and significantly influence mutual trust. Furthermore, we use machine learning algorithms to predict trust. The implications for theory and practice and future research directions are discussed. [ABSTRACT FROM AUTHOR]

Effective inter-agency information sharing can facilitate the internal administration and external service delivery of government agencies, as well as help them address some complex social issues and then promote social development. Thus, how to promote the success of inter-agency information sharing has attracted the attention of researchers and public administrators. A lot of research has investigated the influential factors of inter-agency information sharing; however, few studies have taken account of the governmental administrative systems, which may influence the collaborations among agencies. Given the composition of the Chinese governmental administrative systems, this study investigated and compared the factors that influence the inter-agency information sharing in vertical and horizontal dimensions. An extended technology–organization–environment (TOE) framework was used to organize the influential factors. The results show that marked differences in influential factors between vertical and horizontal inter-agency information sharing indeed exist. [ABSTRACT FROM AUTHOR]

In aspect-based sentiment analysis, a fundamental task is extracting aspect terms from opinionated sentences. Aspect term extraction (ATE) has been found to play a critical role among several scenarios, such as service quality improvement and recommendation systems. While deep learning-based methods have achieved great progress in ATE, they mainly consider sequential semantic information and generally ignore the utilisation of syntactic relations of the whole sentence on overall meanings. Furthermore, performances of these methods may also be diminished by poor handling of relation and text noises. To address these issues, we propose a fused sequential and hierarchical representation (FSHR) model, wherein both sequential and hierarchical representations are generated, which facilitates not only the capture of linear semantic information for predicting meaning-related aspect terms but also the utilisation of syntactic relations over the entire sentence to better identify structure-related aspect terms. Moreover, to refine the aspect representation, we incorporate relation-gate mechanism which selectively activates meaningful syntactic dependency paths and design the multi-way aspect attention which prompts the model to focus on relevant text segments about particular aspects. Eventually, sequential and hierarchical representations are adaptively fused for aspect prediction. Experiment results on four datasets demonstrate that FSHR outperforms competitive baselines, and further extensive analyses reveal the effectiveness of our model. [ABSTRACT FROM AUTHOR]

Objective: This study aims to investigate the application of protective restraint nursing interventions in intensive care unit (ICU) patients and their impact on the incidence of unplanned extubation and skin damage., Methods: A total of 90 ICU patients admitted to Hai'an People's Hospital between January 2019 and December 2020 were randomly assigned to either the experimental group or the control group in a 1:1 ratio. The control group received conventional nursing care, while the experimental group received protective restraint nursing interventions. The Hospital Anxiety and Depression (HAD) scale, a clinical tool used to assess patients' levels of anxiety and depression, was employed to evaluate patients' emotional states before and after the intervention. A Patient Clinical Satisfaction Survey Questionnaire developed by our department was used to assess patient satisfaction after nursing. Compliance and the incidence of adverse reactions were compared between the two groups., Results: The experimental group exhibited significantly lower HADS scores, higher nursing satisfaction, and a lower incidence of unplanned extubation, skin damage, and adverse reactions compared to the control group (all P < .05)., Conclusions: Protective restraint care demonstrates substantial benefits for ICU patients by reducing the incidence of unplanned extubation, preventing skin damage during treatment, improving compliance, and facilitating recovery. These findings support the clinical application and promotion of protective restraint nursing interventions.