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This review explores the growing impact of the Internet of Things (IoT) on the energy sector, particularly in the context of renewable energy generation and electric drive systems. IoT technology has rapidly expanded into various sectors, including energy, smart cities, and industrial automation, revolutionizing monitoring, control, and management processes. In this paper, we examine the existing literature on IoT applications in energy systems, with a focus on smart grids. We also delve into the core IoT technologies, such as cloud computing and data analysis platforms, that underpin these innovations. Additionally, we address challenges associated with IoT implementation in the energy sector, notably privacy and security concerns, and suggest potential solutions, such as blockchain technology. Our findings provide valuable insights for energy policy-makers, economists, and managers, offering a comprehensive overview of how IoT can optimize energy systems. Furthermore, we highlight IoT’s expanding role in renewable energy and electric drive applications, enhancing performance monitoring, management, and energy savings while also advancing research and education in engineering.

Background: Student Run Clinics (SRCs) provide students with clinical education while caring for underserved populations. While much of the research on SRCs comes from the USA, SRCs in other contexts need to be appraised in the context of the systems they interact with. This study explored how stakeholders in the University of Calgary’s SRC perceived its purpose and beneficiaries with respect to patients, students, undergraduate medical education, and its intersections within the healthcare system in Calgary. Methods: Data came from the SRC’s EMR and stakeholder interviews at the Inn from the Cold (IFTC) shelter. Qualitative data were analyzed using standard grounded theory techniques. Results: There were 13 interviews - seven with student clinicians and six with preceptors and other stakeholders. Interviews highlighted the uncertainty of the SRCs role. Majority of participants saw the SRC as facilitating further access to other healthcare services, while some commented on its primarily education-focused role. Major limitations in the SRC’s scope of care and its integration with other services were identified. Conclusion: SRCs need to consider theiraccountabilities, both educational and healthcare-focused at individual and organization levels, in order to function as responsible healthcare providers in Calgary.

In this non-empirical article, which is intended as a decision-making resource for researchers, we identify issues surrounding data integrity that commonly arise in online survey research and we propose remediation strategies based on challenges we encountered during a particular pilot study as well as our collective experience with conducting online survey research. Using the metaphor of an onion, we peel off the layers of this complex problem, synthesize the various available strategies used across disciplines, and propose some novel ones based on our perspective as psychologists. Corresponding to this multi-layered problem, we propose multi-layered solutions to prevent illegitimate responding—by both humans and non-humans (robots or “bots” for short)—from compromising the quality of data collected via online survey research. The first layer entails strategic item selection and protective programming in survey development. The second layer involves astute advertising and recruitment tactics to minimize illegitimate responses during survey dissemination. The third layer includes algorithms and other mechanisms to identify suspicious responses for possible exclusion during data verification. When we peel off the layers and reach the core problem of illegitimate responses to online surveys—financial incentives—we will propose ways of navigating respondent reimbursement to mitigate their inadvertent harmful impacts on the research process. By proposing these solutions, we aim to protect the integrity of scientific inquiry in psychology, especially given how often this method is used in the discipline.

The Resource Management System (RMS) is a comprehensive solution designed to optimize resource allocation, enhance project efficiency, and streamline customer interactions within a dynamic business environment. The system encompasses four key components: projects, resources, customers, and business units. It offers a range of functionalities including create, update, retrieve, and delete operations to facilitate seamless operations and data management. The RMS is built using Spring Boot (Java) for the backend, providing a robust and scalable foundation. The front end is developed using React, ensuring a modern and user-friendly interface. Data is managed in a MySQL database, offering reliability and data integrity. Communication between frontend and backend is achieved through RESTful APIs. Resource Management system typically manage and allocate non-human resources and as well human resources throughout an organization, However, if we choose to pursue human resources management, we will recruit, hire, train, manage employees and staff which is also a variation of resources. It provides comprehensive solution designed to optimize resource allocation, enhance project efficiency, and streamline customer interactions within a dynamic business environment.