Results 91 to 100 of about 1,704,761 (316)
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Introduction Calcipotriol and betamethasone dipropionate (Cal/BDP) PolyAphron dispersion (PAD) cream and Cal/BDP foam have demonstrated superior efficacy to Cal/BDP gel in patients with plaque psoriasis exhibiting a more severe profile defined by the ...
Anna Campanati +8 more
doaj +1 more source
ObjectiveTo investigate medical expenses and factors influencing surgical choices among lung cancer patients in a tertiary hospital in Xiamen, China, and to identify key cost differences between surgical and non-surgical approaches.MethodsIn this ...
Linyan Chen +4 more
doaj +1 more source
N‐Doping Activated Presodiation Enhances Sodium‐Ion Provision in Hard Carbon Anodes
Introducing pyrrolic‐N sites enables efficient presodiation and stronger PF6− capture, thus pre ‐ forming a robust inorganic‐rich SEI layer in hard carbon anodes. ABSTRACT Hard carbon (HC) is considered the most promising anode material for commercial sodium‐ion batteries (SIBs), yet it still faces critical challenges such as low initial Coulombic ...
Hua Lin +8 more
wiley +1 more source
To explore the impact of nanosizing on pesticide biointeractions, a 7‐nm (average) emamectin benzoate nanopesticide without nanocarriers or surfactants is fabricated via HOAc‐mediated disaggregation. Nanosizing enhances bioactivity against Megalurothrips usitatus and Meloidogyne enterolobii and improves plant penetration.
Jiaqi Wei +11 more
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
Versatile Detection of Cellular Protein via Fluorescence Anisotropy
Cell Lysate Fluorescence Anisotropy (CFAST) utilizes long lifetime dye‐labeled nanobodies for rapid protein quantification in minimally purified, complex cell lysate. When coupled with cellular thermal shift, CFAST allows high‐throughput detection of endogenous protein‐small molecule engagement, facilitating the discovery of novel binders for ...
Qing Tang +12 more
wiley +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source

