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Longitudinal Associations Between Sleep and Needs Satisfaction on Mental Health Outcomes in Athletes
Get PDFAbstractIntroduction: Sleep problems are linked to the occurrence and exacerbation of mental ill-being. Yet, scant research has been conducted in athletes, and is hindered by a lack of theoretical grounding, and cross-sectional study designs. Method: Underpinned by Self-Determination Theory, the present study incorporated a two-wave longitudinal design across a competitive sporting season. Three statistical models tested cross-lagged associations between needs-satisfaction and sleep across adjacent time points, along with changes in mental health outcomes of depressive symptoms, anxiety symptoms, and well-being. Results: A total of 136 athletes took part (M age: 29 years; 74% team sport athletes; 69% males). Early-season sleep difficulties led to poorer perceptions of mid-season need satisfaction, and indirectly impacted changes in all mental health outcomes through mid-season needs satisfaction. Conclusions: Sleep difficulties are associated with poorer mental health outcomes in athletes, indirectly through needs satisfaction. Athlete sleep education interventions are recommended and could complement existing mental health programmes. <br/
Healthcare professionals' knowledge and experience of inherited cardiac arrhythmias (ICA), their views towards and confidence in caring for a person with an ICA in a surgical environment
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Decision support for marine spatial planning affecting fisheries: a case study of a small scale fishery
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Promoting staff retention in social work: Identifying the ‘push’ and the ‘pull’ factors from the perspective of newly qualified social workers
Get PDFThis study explores the push and pull factors influencing retention of Newly Qualified Social Workers (NQSWs). A mixed methods design, using standardized measures were used alongside questions capturing demographic data, motivation, employment preferences, and satisfaction with supervision. A sample of 122 NQSWs who graduated from one of three participating universities consented to participate. Quantitative data were analysed using SPSS. Well-being and resilience scores were analysed to examine the effects of participants’ age, sex, caring responsibilities, disability, and if they worked in children’s or adult services. Levels of motivation to be a social worker, satisfaction with supervision and support during their Assessed Year in Employment were examined. Findings demonstrate that 60 percent of participants had mild or probable clinical depression. Well-being scores were significantly higher for those working within adult services compared to those in children’s services. Whereas resilience scores were significantly higher for those working in children’s services. NQSWs are committed to their career but almost 40 percent reported decreased levels of motivation. Participants recommended pull factors (i.e., increased pay, better work-life balance, manageable workloads, access to specialist training) to stabilize the workforce to improve continuity of care, build stronger relationships with service users and develop expertise to navigate complex situations
Third-Party Software Development Kit Utilization and Mobile App Market Performance: An Empirical Study from the Boundary-Spanning Perspective
Get PDFIn the highly competitive mobile market, third-party vendors located outside the purview of hosting mobile platforms are becoming major suppliers of functional toolkits for mobile app development and innovation. Mobile app developers, however, face the uncertainty of whether and how to use third-party software development kits (SDKs) from these external vendors to create more appealing and engaging mobile apps. This study examines the extent to and conditions under which third-party SDK utilization affects mobile app market performance. Drawing on the platform ecosystem literature and boundary object theory, we contextualize the boundary-spanning practice in mobile app development as the extent to which developers utilize third-party SDKs and theorize the performance impact of third-party SDKs. Moreover, the boundary-spanning perspective leads us to examine how the performance impact of third-party SDKs varies across tool-types versus platform-types, the evolution of platform boundaries, and levels of app developers’ platform-specific experience. By conducting difference-in-differences-style analyses on a longitudinal dataset of 335,958 multi-homing mobile apps released on Apple App Store and Google Play, our study reveals that utilizing more third-party SDKs is positively associated with daily active users of mobile apps. This positive impact is limited to tool-type third-party SDKs, however, and is attenuated by platform updates and app developers’ platform-specific experience. This study contributes to the platform-based software innovation and platform governance literature and provides managerial implications for app developers, platform managers, and third-party SDK providers
Live Demonstration: Smart Watchdog Mechanism for Real-time Fault Detection in RISC-V
Get PDFThis live demonstration relates to our paper titled "Smart Watchdog Mechanism for Fault Detection in RISC-V" also published at ISCAS 2025. Spiking neural networks (SNNs) can realise low power and area implementations compared to traditional neural network models. We present an interactive demonstration of a SNN-based smart watchdog circuit capable of real-time monitoring and detection of errors during program execution in a modern RISC-V processor. The smart watchdogs performance is demonstrated by monitoring the RISC-V core running a control task resembling a safety-critical application, where demo-attendees can inject faults into the program counter register and witness the detection of errors and how control flow errors impacts the motor operation. The demo permits various fault injection patterns, i.e. bit flips and stuck at zero/one faults