Adequate sanitation is crucial for human health and well-being, yet billions worldwide lack access to basic facilities. This comprehensive review examines the emerging field of intelligent sanitation systems, which leverage Internet of Things (IoT) and advanced Artificial Intelligence (AI) technologies to address global sanitation challenges. The existing intelligent sanitation systems and applications is still in their early stages, marked by inconsistencies and gaps. The paper consolidates fragmented research from both academic and industrial perspectives based on PRISMA protocol, exploring the historical development, current state, and future potential of intelligent sanitation solutions. The assessment of existing intelligent sanitation systems focuses on system detection, health monitoring, and AI enhancement. The paper examines how IoT-enabled data collection and AI-driven analytics can optimize sanitation facility performance, predict system failures, detect health risks, and inform decision-making for sanitation improvements. By synthesizing existing research, identifying knowledge gaps, and discussing opportunities and challenges, this review provides valuable insights for practitioners, academics, engineers, policymakers, and other stakeholders. It offers a foundation for understanding how advanced IoT and AI techniques can enhance the efficiency, sustainability, and safety of the sanitation industry.

Business model innovation (BMI) has garnered substantial academic and corporate attention in recent decades. Researchers have not yet agreed on the most complicated BMI practices in the high-tech startups (HTS). Despite being the second-biggest economy in the world today, China has done little research on the practice of business model innovation in China’s high-tech startups. This study addresses the factors that impact the business model innovation of high-tech startups in China. Our study aims to fill the research gap by visualising and analysing, using systematic literature review (SLR) analyses and reviewing 36 in-depth articles, from 688 academic literature sources. Relevant publications from Scopus, Springer, ScienceDirect, Web of Science, IEEE Xplore, and the JDM e-library expose the current research status from 2013 to December 2023 without bias. We conducted a literature-based investigation to identify essential insights on the BMI factors in the literature and derived a high-tech startup’s BMI critical factor. Our study shows that three main factors affect the innovation of business models in high-tech startups in China. The findings raise managers’, entrepreneurs’, and executives’ knowledge of corporate resource bricolage and cognitive style constraints in business model innovation and their pros and cons. The findings will help Chinese academics understand enterprises’ institutional environment and resource bricolage as final suggestions and proposals for corporates, regulators, and policymakers are presented.

Given the increasing demand for sustainable energy sources and the challenges associated with the limited efficiency of solar cells, this review focuses on the application of gold quantum dots (AuQDs) in enhancing solar cell performance. Gold quantum dots, with their unique properties such as the ability to absorb ultraviolet light and convert it into visible light expand the utilization of the solar spectrum in solar cells. Additionally, these quantum dots, through plasmonic effects and the enhancement of localized electric fields, improve light absorption, charge carrier generation (electrons and holes), and their transfer. This study investigates the integration of quantum dots with gold plasmonic nanoparticles into the structure of solar cells. Experimental results demonstrate that using green quantum dots and gold plasmonic nanoparticles as intermediate layers leads to an increase in power conversion efficiency. This improvement highlights the significant impact of this technology on solar cell performance. Furthermore, the reduction in charge transfer resistance and the increase in short-circuit current are additional advantages of utilizing this technology. The findings of this research emphasize the high potential of gold quantum dots in advancing next-generation solar cell technology.

Piano sight-reading competency, which is highly important for an aspiring musician who needs to face diverse musical problems, is an integral part of becoming a smooth performer. The aims of this systematic literature review concerning piano sight-reading pedagogy approaches between 2019 and 2024 are to determine the strengths and weaknesses of the peer-reviewed literature. The article examines cognitive, behavioral, and technological methods and tools of enhancing learning outcomes, based on the concept of cognitive load, constructivism, and behaviorist perspective. The cognitive strategies highlight the role of hand-eye coordination, short-term memory, and visual process; while the behavioral ones emphasize the importance of daily practice and feedback from the teacher. Emerging technologies, like VR and AI-driven platforms, are redefining education and offering unique ways of learning and forgetting. While achievements of the past are notable, challenges such as access and efficacious long-term approaches remain. The next step of research should be to focus on sustainable teaching methods and international perspectives to achieve homogeneous and effective sight-reading teaching worldwide. This essay provides an overview of integrated and adaptable teaching strategies that combine both traditional and modern tools for the development of versatile and confident musicians' skills.

This research aims to comprehensively investigate contemporary practices and factors influencing global tax avoidance and evasion through a systematic literature review (SLR) and bibliometric analysis. This study methodology uses SLR with bibliometric analysis to map this research trend. Relevant literature was collected and systematically analyzed to identify key themes, methodologies, and findings regarding tax avoidance and evasion. The study’s findings identify various tax avoidance practices, including profit shifting, transfer pricing strategies, and the use of tax havens by multinational corporations. The report also highlights various forms of tax evasion, such as money laundering and illicit financial flows. Key factors influencing tax behavior are ethical considerations, government policies, economic factors, and corporate governance practices. This analysis highlights the complex interactions between these factors in shaping tax practices globally. The study’s conclusions show that effective tax governance requires a multifaceted approach integrating ethical standards, a strong regulatory framework, and international cooperation. Ethical corporate behavior and transparent reporting are essential in promoting tax compliance and fairness. This study emphasizes the critical role of policymakers in designing and enforcing tax policies that discourage aggressive tax planning while encouraging economic growth and equality. Recommendations from these findings are to increase transparency in multinational operations, strengthen international tax cooperation, and improve global tax administration capabilities. In addition, increasing taxpayer education and awareness can foster a culture of compliance and ethical tax practices. Future research should prioritize longitudinal studies and case-specific analyses to deepen understanding and develop targeted interventions to address tax avoidance and evasion challenges.

The potential role of self-regulated learning as mediator has been deeply investigated by researchers in recent years. There is limited systematic literature review being done to investigate the role of self-regulated learning as mediator in the students’ academic learning. Therefore, searching studies in the databases WOS (Web of Science), SCOPUS, APA (American Psychological Association) PsycInfo, and ERIC (Education Resources Information Center), the present study conducted a systematic literature review on 32 studies published between 2015 and 2024 to summarize what kind of psychological factors influence students’ academic performance through self-regulated learning and assess the potential mediating role of self-regulated learning in this process. The results show that self-efficacy, emotions and motivation are significant predictors of academic achievement and self-regulated learning act as an important mediator in this relationship. An important implication was obtained that researchers can probe into the influence of specific dimensions of self-efficacy on learning performance through self-regulated learning and the influence of positive emotions such as resilience on learning outcomes with self-regulated learning as mediator.