The difference and similarity between traditional chinese and western medicine
Taichiu Cheung
openalex +1 more source
Medicinal plants used in traditional medicine to enhance immunity: A survey in the southeastern area of Morocco and a literature review. [PDF]
El-Yagoubi K, Bakour M, Lyoussi B.
europepmc +1 more source
Characterizations of the expanse of processes parameter combinations that can be used to minimize cracking and porosity while optimizing crystallization and hardness are used to assess laser processing of four glass‐forming alloys. The set of viable alloys for laser additive manufacturing is not the same as for suction casting; some alloys are common ...
Soumya Mohan+3 more
wiley +1 more source
Exploring Southern Ecuador's Traditional Medicine: Biological Screening of Plant Extracts and Metabolites. [PDF]
Bec N, Larroque C, Armijos C.
europepmc +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Data Mining and in Silico Analysis of Ethiopian Traditional Medicine: Unveiling the Therapeutic Potential of Rumex abyssinicus Jacq. [PDF]
Bultum LE, Kim G, Lee SW, Lee D.
europepmc +1 more source
Herbal Medicines in African Traditional Medicine
Ezekwesili-Ofili Josephine Ozioma+1 more
openaire +4 more sources
Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed FeCr(Si)N Stainless Steel
The alloying element Nitrogen enhances stainless steel strength, corrosion resistance, and stabilizes austenite. This study develops austenitic FeCr(Si)N steel production via powder metallurgy. Fe20Cr and Si3N4 are hot isostatically pressed, creating an austenitic microstructure.
Louis Becker+5 more
wiley +1 more source
Protocol for a scoping review of traditional medicine research methods, methodologies, frameworks and strategies. [PDF]
Ijaz N, Hunter J, Grant S, Templeman K.
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source