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| http://dx.doi.org/10.1007/s11606-020-06110-8 | DOI Listing |
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Unveiling insights from the Joint FAO/WHO Expert Committee on Food Additives (JECFA) portal.
Sci Data
December 2024
Unit of Biostatistics, Epidemiology, and Public Health, Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, via Loredan 18, Padova, 35131, Italy.
This study presents a method for automating the retrieval of key identifies and links to toxicological data from the Joint FAO/WHO Expert Committee on Food Additives (JECFA) database using web scraping techniques. Although the method primarily serves as an automated indexing tool, facilitating organization and access to relevant reports, monographs, and specifications, it significantly enhances the efficiency of navigating the extensive JECFA database. Researchers can then perform more targeted and efficient searches, although additional manual steps are required to extract and structure the detailed toxicological data.
View Article and Find Full Text PDFHow to Convert a 3D Printer to Personal Automated Liquid Handler for Life Science Workflows.
SLAS Technol
December 2024
Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI 02912, USA. Electronic address:
Automated liquid handlers are fundamental in modern life science laboratories, yet their high costs and large footprints often limit accessibility for smaller labs. This study presents an innovative approach to decentralizing a liquid handling system by converting a low-cost 3D printer into a customizable and accurate liquid handler. The Personal Automated Liquid Handler (PALH) system, costing ∼$400, incorporates a single-channel pipet, custom 3D-printed components, and open-source software for personalized workflows, allowing researchers to build and modify the system for specific experimental needs.
View Article and Find Full Text PDFIdentifying influential nodes in brain networks via self-supervised graph-transformer.
Comput Biol Med
December 2024
Center for Brain and Brain-Inspired Computing Research, School of Computer Science, Northwestern Polytechnical University, Xi'an, China. Electronic address:
Background: Studying influential nodes (I-nodes) in brain networks is of great significance in the field of brain imaging. Most existing studies consider brain connectivity hubs as I-nodes such as the regions of high centrality or rich-club organization. However, this approach relies heavily on prior knowledge from graph theory, which may overlook the intrinsic characteristics of the brain network, especially when its architecture is not fully understood.
View Article and Find Full Text PDFComparison of Plant Genomic DNA Extraction Kits Using the Proofman-LMTIA Amplification Assay.
Phytochem Anal
December 2024
School of Food and Biological Engineering, Henan University of Science and Technology, Luoyang, Henan, China.
Introduction: The extraction of DNA is the basis of molecular biology research. The quality of the extracted DNA is one of the key factors for the success of molecular biology experiments.
Objective: To select a suitable DNA extraction method for Chinese medicinal herbs and seeds.
An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention.
Sci Rep
December 2024
School of Smart Health, Chongqing Polytechnic University of Electronic Technology, Chongqing, 401331, China.
In the field of rehabilitation, although deep learning have been widely used in multitype gesture recognition via surface electromyography (sEMG), their higher algorithmic complexity often leads to low computationally inefficient, which compromise their practicality. To achieve more efficient multitype recognition, We propose the Residual-Inception-Efficient (RIE) model, which integrates Inception and efficient channel attention (ECA). The Inception, which is a multiscale fusion convolutional module, is adopted to enhance the ability to extract sEMG features.
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