Advanced Healthcare Materials papers you have downloaded and read the most last month.
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Glycogen Synthase Kinase-3 and Alternative Splicing
Sequencing of the human genome led to the surprising discovery that we do not have many more protein coding genes than presumably simpler organisms.
Insights Into The Control Of Trypanosome Editing
Specific examples of complex variants, differential effects of editing proteins on the mRNAs within and between T. brucei life stages, and possible control points in the holo-editosomes are examined.
Gold Nanoparticles to Probe the Biological Obstacles of Nanomedicine
Despite massive growth in nanomedicine research to date, the field still lacks fundamental understanding of how certain physical and chemical features of a nanoparticle affect its ability to overcome biological obstacles in vivo and reach its intended target.
Thermoelectric Nanocomposites from Earth Abundant Materials
Nanocomposites of chalcopyrite and metal nanoparticles show thermoelectric properties that depend on doping and surface effects.
Computational Methods for Analyzing and Modeling Genome Structure and Organization
Recent advances in chromosome conformation capture technologies have led to the discovery of previously unappreciated structural features of chromatin.
Understanding Weather and Climate of the past 300 years from Ships’ Logbooks
Ships’ logbooks dating back to the seventeenth century have helped scientists to capture different features of climate during the last centuries previously unknown.
Self-Healing Mechanisms of Nanotwinned Metals Under Irradiation
Nanotwinned metals have been an important research object in the last 15 years because of their broad engineering application prospects.
How do People Adapt to Environmental Shocks and Stresses?
How do most people adapt to floods? What do most people do to cope with heatwaves? Which strategies to adapt to any environmental shock or stress are most common and which most rare?
Machine Learning for Bioinformatics and Neuroimaging
Machine Learning (ML) is a well‐known paradigm that refers to the ability of systems to learn a specific task from the data and aims to develop computer algorithms that improve with experience.
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