Results 181 to 190 of about 1,546,489 (336)
PMI24 JUSTIFYING THE USE OF COST MINIMIZATION ANALYSIS: DEMONSTRATION OF COMPARATOR EQUIVALENCE
HA Bennett+6 more
openalex +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
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
Pharmacoeconomics is an essential component of health technology assessment and the appraisal of medicines for use by patients. As a comparatively young discipline, its methods continue to evolve.
O. V. Reshet'ko, K. A. Lutsevich
doaj
Enhanced Fog Water Harvesting on Superhydrophobic Steel Meshes
Fog harvesting using mesh designs offers a sustainable solution to water scarcity. This study highlights key considerations for fog harvesting research and develops a methodology for a standardized protocol reflecting fog characteristics and environmental conditions.
Pegah Sartipizadeh+3 more
wiley +1 more source
Cost-minimization analysis comparing eltrombopag vs romiplostim for adults with chronic immune thrombocytopenia. [PDF]
Patwardhan P+4 more
europepmc +1 more source
Pharmacoeconomic analysis of naftidrofuryl for treatment of ischemic stroke
Strokes are one of the most important causes of death and disability both worldwide and in Russian Federation (RF). This disease requires intensive, prolonged treatment and rehabilitation and thus is associated with considerable temporary disability, as ...
A. E. Cheberda+2 more
doaj
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