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Showing 5 of 5 academic articles

Study on Association Between Lipid Profile Values and Psychiatric Disorders

SHINY JOHN, KAVITARATI DHARWADKAR, MANJUNATH V MOTAGI • Journal of Clinical and Diagnostic Research (2014)

Background: Cholesterol is especially abundant in nervous system, where it plays important role in different aspects of cellular structure (e.g. fluidity of cell membranes) and function (e.g. membrane). Several studies showed that there ...

DOAJ Open Access (DOAJ) DOI: 10.7860/JCDR/2014/10383.5301

3D Printing parameter optimisation combined with heat treatment for achieving high density and enhanced performance in refractory high-entropy alloys

Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang et al. • Virtual and Physical Prototyping (2025)

In this study, a Ti1.5Nb1Ta0.5Zr1Mo0.5 (TNTZM) high-entropy alloy was fabricated using laser powder bed fusion (LPBF). By integrating 63 sets of parameter trials with machine learning (ML) models, an optimised process window was identified,...

DOAJ Open Access (DOAJ) DOI: 10.1080/17452759.2025.2524524

Astaxanthin biofortification enhances tobacco tolerance to lead stress through boosting antioxidant defense, reducing Pb accumulation, and modulating detoxification pathways

Zhongyang Du, Mengjing Liang, Xiaodan Wang, Yizhen Liu et al. • Journal of Advanced Research (2026)

Introduction: Heavy metal pollution including lead (Pb) has become one of the serious global issues threatening food security, human health, and the ecosystem. Exogenous application of astaxanthin (ATX), a potent natural antioxidant, has be...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jare.2025.07.038

Deep Learning in Medical Image Analysis

Dinggang G. Shen, Guorong Wu A, Heung‐Il Suk • Annual Review of Biomedical Engineering (2017)

This review covers computer-assisted analysis of images in the field of medical imaging. Recent advances in machine learning, especially with regard to deep learning, are helping to identify, classify, and quantify patterns in medical image...

OPENALEX Open Access DOI: https://doi.org/10.1146/annurev-bioeng-071516-044442 PMC: 5479722