University students spend most of their time in classrooms, mostly in a sitting position. Prolonged sitting on ill-fitted furniture and the resulting bad posture is making students suffer from different musculoskeletal disorders (MSDs). This study evaluates the potential mismatch between furniture dimensions and anthropometric measurements. To determine potential mismatch, 13 anthropometric measurements of 550 students and 11 dimensions of two types of classroom furniture (mounted-desktop and chair-with-table) were measured and then compared. Additionally, chi-square test was performed to compare the relation between anthropometry and relevant furniture dimensions. Results showed that a significant number of mismatches emerged between anthropometric measurements and furniture dimensions. For both types of furniture, seat height was too high and seat depth was too deep. Moreover, for mounted desktop, desk height is almost appropriate for all students whereas for chair and table, it was too high for the males. These circumstances may lead to increase discomfort and increase MSDs problems among all students. It can be concluded that the dimensions of both types of classroom furniture were not appropriate for users according to anthropometric measurements. This analysis recommends the measurements of furniture dimensions based on participants’ anthropometric measurements to avoid or minimise discomfort and MSDs problems.

Background: The construction industry, known for its high-risk environment, increasingly acknowledges the psychological risks to workers. Despite well-documented physical hazards, mental health challenges within this workforce have garnered attention. This systematic review provides a scholarly synthesis of literature on psychological risks and their causative factors affecting construction workers, adhering to PRISMA protocols. Methods: An exhaustive literature search was conducted across PubMed, Scopus, PsycINFO, and Google Scholar using relevant keywords. Rigorous screening of selected studies focused on the psychological aspects of construction work, with systematic data extraction and analysis. Findings: From 1992 to 2022, 68 studies met inclusion criteria, identifying key psychological harm factors: job insecurity, long working hours, high demands, poor work-life balance, and workplace bullying. A lack of mental health support and awareness in the sector was noted, with a significant correlation between these factors and increased stress, anxiety, and depression levels among workers. Conclusions: The review highlights the urgent need for industry recognition of psychological hazards and the relationship between work conditions and mental health issues. It calls for supportive policies, awareness programs, and counseling services, with a suggestion for future longitudinal research on the long-term impacts and intervention efficacy. Application to Practice: This study provides an overview of psychological risks in the construction sector from 1994 to 2022, aiming to identify causative factors for mental health issues. It seeks to pave the way for targeted interventions and policy changes to improve mental health outcomes in the industry.

Though Bangladesh is one of the largest garments manufacturing country in the world and there happened revolutionary changes more than four decades ago, they couldn’t achieve sustainable platform yet. The failure to achieve up to the requirement level for the competitive capabilities/manufacturing metrics is the common phenomenon for the manufacturers. Even there is an alarming issue that the manufacturers yet don’t know how they are affected by these failures and also can’t measure how much they are statistically fit. By being motivated from manufacturer’s failure, we worked on a manufacturing unit of a garments industry where we aggregated manufacturing metrics and determined how the manufacturers are affected by the failure of these metrics. This research work will conclude by proposing few models with their mathematical and graphical explanation. By using these models, the manufacturers will be able to determine their strategic fitness, security level, and associated loss/penalty.

Mental health nurses (MHNs) face unique occupational challenges, including high emotional demands, frequent exposure to workplace violence, and risk of burnout. Social support is widely recognised as a protective factor that can enhance well‐being and job satisfaction in this high‐stress profession. In this research, social support is defined as the emotional, informational, and instrumental assistance that MHNs receive from interpersonal relationships in the workplace, such as from colleagues, immediate supervisors, and informal peer networks. HR support or organisational support, by contrast, refers to formal structures and resources provided by the organisation itself. Despite this, little is known about MHNs' perceptions of the availability, accessibility, and value of social support within their workplace settings. This qualitative study explored the perceived levels and effects of social support among MHNs using semi‐structured interviews. Six MHNs were recruited via purposive and snowball sampling. Interviews were conducted online, transcribed, and analysed thematically to identify common patterns and variations in participants' experiences. Thematic analysis identified five key themes: agency in seeking support, forming alliances, the informal nature of support, its varying availability, and the necessity of support to sustain a career in MHN. Peer support was described as essential, informal, and self‐initiated, while formal organisational support was often viewed as lacking. Digital platforms emerged as supplementary sources. The findings underscore social support's crucial role in MHNs resilience and well‐being, and highlight the need for healthcare organisations to strengthen both informal and formal support structures to improve job satisfaction, reduce burnout, and promote retention.

The importance of bio-robotics has been increasing day by day. Researchers are trying to mimic nature in a more creative way so that the system can easily adapt to the complex nature and its environment. Hence, bio-robotic grippers play a role in the physical connection between the environment and the bio-robotics system. While handling the physical world using a bio-robotic gripper, complexity occurs in the feedback system, where the sensor plays a vital role. Therefore, a human-centered gripper sensor can have a good impact on the bio-robotics field. But categorical classification and the selection process are not very systematic. This review paper follows the PRISMA methodology to summarize the previous works on bio-robotic gripper sensors and their selection process. This paper discusses challenges in soft robotic systems, the importance of sensing systems in facilitating critical control mechanisms, along with their selection considerations. Furthermore, a classification of soft actuation based on grippers has been introduced. Moreover, some unique characteristics of soft robotic sensors are explored, namely compliance, flexibility, multifunctionality, sensor nature, surface properties, and material requirements. In addition, a categorization of sensors for soft robotic grippers in terms of modalities has been established, ranging from the tactile and force sensor to the slippage sensor. Various tactile sensors, ranging from piezoelectric sensing to optical sensing, are explored as they are of the utmost importance in soft grippers to effectively address the increasing requirements for intelligence and automation. Finally, taking everything into consideration, a flow diagram has been suggested for selecting sensors specific to soft robotic applications.

The current study aims to explore relationship between manufacturing metrics or manufacturing performance factors and manufacturing fitness, which establishes the basis for manufacturing strategy. Previous researches on manufacturing strategies and competitive strategies to measure firm performance guided the manufacturers towards further developments. To emphasize these developments, this study continued after the development of strategic fit models by generalizing these models through linear structural relations (LISREL) analysis. Results from hypotheses tests and LISREL analysis found manufacturing metrics are directly linked to firm’s performance. This article found strong relation of availability of materials (AM) to order variation handling (OVH) & order fill rate (OF); OVH, problem handling (PH), & OF to shipment time (ST); and ST to strategic fitness (SF). Identification of affecting metrics and determination of their strength & significance to manufacturing fitness by using this article’s generalized models & firm’s performance determinants is the main significance of this article.