Results 151 to 160 of about 26,999 (189)
Exploring the structural validity and reliability of the swimming competence assessment scale in college students. [PDF]
Zhao M +4 more
europepmc +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Preparation, identification and molecular characterization of umami peptides from skipjack tuna meat: Insights from sensory evaluation and molecular dynamics simulations. [PDF]
Huang FF +6 more
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Genetic parallelism underpins convergent mimicry coloration across Lepidoptera
Ben Chehida Y +20 more
europepmc +1 more source
Influence of Basis Set Composition on Metabolite Quantification of <sup>1</sup>H-MRS at 3 T: Combining In Silico, In Vivo and In Vitro Evidence. [PDF]
Emeliyanova P +3 more
europepmc +1 more source
The molecular design strategy that integrates both side chain and backbone engineering in diketopyrrolopyrrole‐based conjugated polymers to identify the optimal balance between doping efficiency and microstructural order is demonstrated. Comprehensive spectroscopic, electrochemical, morphological, and structural characterizations reveal that the ...
Taewoong Han +13 more
wiley +1 more source
The population genetics of convergent adaptation in maize and teosinte is not locally restricted. [PDF]
Tittes S +7 more
europepmc +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source

