Results 171 to 180 of about 5,226,426 (247)

Evaluation of wearable light dosimeters for circadian lighting: spectral, spatial, photometric, melanopic, and thermal performance. [PDF]

NPJ Biol Timing Sleep
Kore RS, Boyer V, Reichenberger DA, Mundinger J, Chang AM, Durmus D.   +5 more
europepmc   +1 more source

Learning Moisture‐Induced Damage From Vision: Diffusion Models for Real‐Time Monitoring of Additive Manufacturing Processes

Advanced Science, EarlyView.
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung, Yuna Yoo, Dharneedar Ravichandran, Dahyun Daniel Lim, Grace X. Gu   +4 more
wiley   +1 more source

Consistency evaluation protocol: A reproducible framework for assessing large language model output repeatability. [PDF]

MethodsX
Vaidya S, Saini JR.
europepmc   +1 more source

Unveiling a Hidden Conversion Pathway in CoSe2 Anodes via Rationally Designed CNT‐Interwoven Hollow Carbon Microclusters for High‐Performance Potassium‐Ion Batteries

Advanced Science, EarlyView.
A rational architectural design of hierarchical, CNT‐interwoven hollow carbon microclusters unlocks and stabilizes a unique monoclinic Co3Se4‐mediated conversion–insertion pathway for potassium storage. This structural confinement effectively guides the reaction kinetics and accommodates severe mechanical strain.
Ho Rim Kim, Seohyeon Jang, Hong Geun Oh, Jaewoo Lee, Jihun Yeom, Daiha Shin, Jiung Cho, Inho Nam, Seung‐Keun Park   +8 more
wiley   +1 more source

Deep Semantics Analysis for Scale Development: Replicating Psychometrics Validation Process with Large Language Models. [PDF]

Behav Sci (Basel)
Milano N, Pizzo R, Scandurra C, Freda MF, Marocco D.   +4 more
europepmc   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

An integrated proteomics and transcriptomics analysis highlights concordance between protein turnover and carbohydrate transport and metabolism as key functional categories during the growth of <i>Trichophyton rubrum</i>. [PDF]

Microbiol Spectr
Singh H, Latka C, Chakraborty R, Dhingra L, Bhalla S, Taneja B.   +5 more
europepmc   +1 more source

Kresling Origami‐Based Metamaterial Robot for Dynamic Electromagnetic Control

Advanced Science, EarlyView.
A reconfigurable metamaterial system integrates deformable origami units with high‐permittivity ceramic plates. Pneumatic switching between structural states alters local resonance conditions, enabling dynamic radar stealth and adaptive microwave reflection for mobile communication.
Xinxi Zeng, Long Zhou, Shaojie Xi, Yixuan Gao, Desheng Pan, Chaoyang Sun, Haoxin Sun, Xian Wang, Lingyun Qian, Peipei Li, Pengfei Zhu, Bo Li, Jiang Luo, Ji Zhou   +13 more
wiley   +1 more source

Quantum ensembling methods for healthcare and life science. [PDF]

Brief Bioinform
Rhrissorrakrai K, Hamilton KE, Bangalore Parthasarathy P, Guzmán-Sáenz A, Gupta S, Alban T, Utro F, Parida L.   +7 more
europepmc   +1 more source

An Efficient Detection Platform Based on Mesoporous Au@Cr2O3 Particles with Schwarz P Surface for Precise Periodontitis Metabolite Profiling

Advanced Science, EarlyView.
A non‐invasive periodontitis diagnosis platform was developed using Au nanoparticles‐decorated mesoporous Cr2O3 (Au@mCr2O3) particles with Schwarz P surface as matrix for saliva metabolic fingerprinting (SMFs) analysis via MALDI‐MS. With the assistance of machine learning of SMFs, this platform enables efficient diagnosis and the screening of potential
Yue Sun, Yan Wang, Fangying Shi, Wenhe Xie, Yiding Zhang, Heyuhan Zhang, Chunhui Deng, Limin Wu, Meihua Chen, Yonghui Deng   +9 more
wiley   +1 more source