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Disentangling protein metabolic costs in human cells and tissues.
PNAS Nexus
January 2025
Logic of Genomic Systems Laboratory (CNB-CSIC), Madrid E-28049, Spain.
While more data are becoming available on gene activity at different levels of biological organization, our understanding of the underlying biology remains incomplete. Here, we introduce a metabolic efficiency framework that considers highly expressed proteins (HEPs), their length, and biosynthetic costs in terms of the amino acids (AAs) they contain to address the observed balance of expression costs in cells, tissues, and cancer transformation. Notably, the combined set of HEPs in either cells or tissues shows an abundance of large and costly proteins, yet tissues compensate this with short HEPs comprised of economical AAs, indicating a stronger tendency toward mitigating costs.
View Article and Find Full Text PDFApplication of Fuzzy Logic-Based Expert Advisory Systems in Optimizing the Decision-Making Process for Material Selection in Additive Manufacturing.
Materials (Basel)
January 2025
Centre for Advanced Manufacturing Technologies (CAMT/FPC), Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Łukasiewicza 5 St., 50-370 Wroclaw, Poland.
In the era of Industry 4.0, additive manufacturing (AM) technology plays a crucial role in optimizing production processes, especially for small- and medium-sized enterprises (SMEs) striving to enhance competitiveness. Selecting the appropriate material for AM is a complex process that requires considering numerous technical, economic, and environmental criteria.
View Article and Find Full Text PDFA Review on Blockchain Applications in Operational Technology for Food and Agriculture Critical Infrastructure.
Foods
January 2025
Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China.
The food and agriculture sector is a cornerstone of critical infrastructure (CI), underpinning global food security, public health, and economic stability. However, the increasing digitalization and connectivity of operational technologies (OTs) in this sector expose it to significant cybersecurity risks. Blockchain technology (BT) has emerged as a transformative solution for addressing these challenges by enhancing network security, traceability, and system resilience.
View Article and Find Full Text PDFDisaster health literacy for diabetics: A scoping review towards a framework.
J Educ Health Promot
December 2024
Medical Library and Information Science Department, Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Due to the increasing occurrence of natural disasters, it is essential to prioritize the improvement of health literacy during emergencies, particularly for individuals with chronic illnesses like diabetes who are especially vulnerable in the medical sector. The primary objective of this study was to identify the key themes within an emerging framework for disaster health literacy specifically tailored for diabetics. A scoping review design was selected based on the Arksey and O'Malley framework.
View Article and Find Full Text PDFA novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection.
Sci Rep
January 2025
Department of Management Information Systems, Faculty of Economics and Administration, King Abdulaziz University, Jeddah, Saudi Arabia.
In the current era, IoT-based healthcare solutions play a pivotal role in transforming the healthcare landscape by addressing key challenges and significantly enhancing the quality, accessibility, and efficiency of medical services, particularly for individuals in remote areas. This paper introduces innovative operations on fractional fuzzy sets (FFS), specifically the Hamacher sum and product, and establishes corresponding operational laws. Building upon these foundations, we propose novel aggregation operators (AoPs) leveraging Hamacher norms and rigorously analyze their properties within the FFS framework.
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