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PreTKcat: A pre-trained representation learning and machine learning framework for predicting enzyme turnover number.
Comput Biol Chem
January 2025
College of Artificial Intelligence, Tianjin University of Science and Technology, No. 9, 13th Street, Tianjin Economic-Technological Development Area, Tianjin, 300457, China. Electronic address:
The enzyme turnover number (k) is crucial for understanding enzyme kinetics and optimizing biotechnological processes. However, experimentally measured k values are limited due to the high cost and labor intensity of wet-lab measurements, necessitating robust computational methods. To address this issue, we propose PreTKcat, a framework that integrates pre-trained representation learning and machine learning to predict k values.
View Article and Find Full Text PDFOptimizing a link-based travel incentive scheme integrating personal carbon trading for low-carbon commuting.
J Environ Manage
January 2025
National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China.
The pressing need to reduce greenhouse gas emissions and optimize traffic demand underlines the importance of effective travel demand management. Previous studies have explored budget-based and aggregated incentive programs, which diminish a heavy financial burden on governments and tend to be limited in contributing to effective behavior change in practice due to budget issues. This study proposes a personal carbon trading travel incentive (PCTTI) mechanism, to encourage private car commuters using low-carbon travel routes.
View Article and Find Full Text PDFDevelopment of a bioreactor with an integrated non-dispersive infrared CO sensor for rapid and sensitive detection of Cr(VI) toxicity in water.
J Hazard Mater
January 2025
Institute of Chemical Technology, Vietnam Academy of Science and Technology, 1A TL29 Street, Thanh Loc Ward, District 12, HCM City, Viet Nam; Graduate University of Science and Technology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet Street, Cau Giay District, Hanoi, Viet Nam. Electronic address:
Whole-cell bioreactors equipped with external physico-chemical sensors have gained attention for real-time toxicity monitoring. However, deploying these systems in practice is challenging due to potential interference from unknown wastewater constituents with liquid-contacted sensors. In this study, a novel approach using a bioreactor integrated with a non-dispersive infrared CO₂ sensor for both toxicity detection and real-time monitoring of microbial growth phases was successfully demonstrated.
View Article and Find Full Text PDFAge-specific DRLs for pediatric brain CT: A review for exploring the practices in Saudi Arabia.
Appl Radiat Isot
January 2025
Applied Physics and Radiation Technologies Group, CCDCU, School of Engineering and Technology, Sunway University, Bandar Sunway, Selangor, 47500, Malaysia; Faculty of Graduate Studies, Daffodil International University, Daffodil Smart City, Birulia, Savar, Dhaka, 1216, Bangladesh; Department of Physics, College of Science, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea. Electronic address:
This review explores the establishment of diagnostic reference levels (DRLs) for pediatric brain computed tomography (CT) examinations in Saudi Arabia and compares them with nine other countries. An extensive search strategy was employed across various databases, resulting in the inclusion of 9 studies. The studies included patient-based and phantom-based investigations into DRLs, highlighting variations across age groups and countries.
View Article and Find Full Text PDFAn 'Index of Oro-dental Disease': A holistic method for understanding the impacts of different risk factors on oral health in archaeological populations.
Int J Paleopathol
January 2025
School of Archaeology and Ancient History, University of Leicester, United Kingdom. Electronic address:
Objective: To gain a more holistic understanding of oral health in the past by producing an 'Index of Oro-dental Disease' (IOD), incorporating multiple oro-dental diseases and accounting for differences in antemortem/postmortem alveolar bone and tooth loss.
Materials: UK Adult Dental Health Survey, 2009 anonymised dataset (N = 6206). Archaeological dental data from skeletal individuals from medieval and post-medieval Barton-upon-Humber, North Lincolnshire (N = 214, 1150-1855) and St James's Gardens Burial Ground, London (N = 281, 1789-1853).
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