OCCUPATIONAL APPLICATIONWe found that small business enterprises (SBEs) face intra- and extra-organizational barriers in different dimensions related to their work system to practically implement human factors/ergonomics (HFE) knowledge transfer and to achieve its benefits in an industrially developing country. Utilizing a three-zone lens, we evaluated the feasibility of overcoming the barriers identified by stakeholders, especially ergonomists. To overcome the identified barriers in practice, three types of macroergonomics interventions (top-down, middle-out, and bottom-up) were distinguished through macroergonomics theory. The bottom-up approach of macroergonomics, as a participatory HFE intervention, was considered as the entry point to overcome the perceived barriers in the first zone of the lens, which included such themes as lack of competence, lack of involvement and interaction, and inefficient training and learning approaches. This approach focused on improving emotional literacy as a care zone among the small business enterprise personnel.
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http://dx.doi.org/10.1080/24725838.2023.2179687 | DOI Listing |
Addict Sci Clin Pract
March 2025
The Substance Use Disorder Solutions Network, Wilmington, United States.
Background: Translating innovative research advancements into commercially viable medical interventions presents well-known challenges. However, there is limited understanding of how specific patient, clinical, social, and legal complexities have further complicated and delayed the development of new and effective interventions for Opioid Use Disorder (OUD). We present the following case studies to provide introductory clinical, social, and business insights for researchers, medical professionals, and entrepreneurs who are considering or are currently developing medical.
View Article and Find Full Text PDFBMC Plant Biol
March 2025
Shandong Facility Horticulture Bioengineering Research Center, Weifang University of Science and Technology, Weifang, 262700, China.
In the context of intelligent agriculture, tomato cultivation involves complex environments, where leaf occlusion and small disease areas significantly impede the performance of tomato leaf disease detection models. To address these challenges, this study proposes an efficient Tomato Disease Detection Network (E-TomatoDet), which enhances tomato leaf disease detection effectiveness by integrating and amplifying global and local feature perception capabilities. First, CSWinTransformer (CSWinT) is integrated into the backbone of the detection network, substantially improving tomato leaf diseases' global feature-capturing capacity.
View Article and Find Full Text PDFPeerJ Comput Sci
March 2025
Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia.
The COVID-19 pandemic has had a significant impact on small and medium-sized enterprises (SMEs), leading to disruptions in supply chains, financial losses, and closures. To overcome these challenges, organizations, including those in developing economies like Malaysia, are turning to blockchain technology as a solution to enhance traditional supply chain management frameworks. This study aims to identify the factors that influence the acceptance of blockchain technology among SMEs.
View Article and Find Full Text PDFSmall Methods
March 2025
School of Data Science, The Chinese University of Hong Kong-Shenzhen, Shenzhen, 518172, China.
Many spatially resolved transcriptomic technologies have been developed to provide gene expression profiles for spots that may contain heterogeneous mixtures of cells. To decompose cellular composition and expression levels, various deconvolution methods have been developed using single-cell RNA sequencing (scRNA-seq) data with known cell-type labels as a reference. However, in the absence of a reliable reference dataset or in the presence of heterogeneous batch effects, these methods may introduce bias.
View Article and Find Full Text PDFSLAS Technol
March 2025
Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia.
Alzheimer's disease (AD) is a severe neurological illness that demolishes memory and brain functioning. This disease affects an individual's capacity to work, think, and behave. The proportion of individuals suffering from AD is rapidly increasing.
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