A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Orthorexia Nervosa in Bodybuilders: Exploring a Critical Research Gap and the Role of Social Media and Self-Monitoring Applications. [PDF]
Int J Environ Res Public HealthD'Apolito F +4 more
europepmc +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Advanced Engineering Materials, EarlyView.Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Laser-Assisted Self-Monitoring of Blood Glucose: Analytical Performance, Clinical Accuracy, and Usability of the HandyRay-Glu System. [PDF]
Diagnostics (Basel)Lim M, Lee J, Seo JA, Ko SY.
europepmc +1 more source
Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions
Advanced Functional Materials, EarlyView.This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian +7 more
wiley +1 more source
Mobile Health for Alcohol Use Assessment: Longitudinal Effects of Breathalyzer Self-Monitoring in Everyday Contexts. [PDF]
Am J PsychiatryLu Y, Fairbairn CE, Han J, Bosch N.
europepmc +1 more source
Advanced Functional Materials, EarlyView.DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
Feasibility of Technology-Assisted Lifestyle Self-Monitoring in Older Adults With Type 2 Diabetes: Mixed Methods Pilot Study. [PDF]
JMIR Form ResDu Y +4 more
europepmc +1 more source
From Food to Power: Hydrogel Thermoelectrics for Ingestible Electronics
Advanced Functional Materials, EarlyView.We introduce a fully edible thermoelectric–electrochromic platform that harvests heat from food and converts it into a visible color change. N‐type and p‐type hydrogel thermoelectric generators connected in series power anthocyanin‐based electrochromic displays, demonstrating the feasibility of safe, biodegradable, ingestible systems for on‐food ...
Antonia Georgopoulou +3 more
wiley +1 more source
An Arduino-Based, Portable Prototype for the Recording and Analysis of EEG Signals to Support Self-Detection and Self-Monitoring of Stress. [PDF]
Sensors (Basel)Baltzis S +5 more
europepmc +1 more source