Results 231 to 240 of about 5,445,983 (296)

LigninFit: Stochastic Simulation Software for the Prediction and Analysis of Experimentally Observed Lignin Molecules. [PDF]

Comput Struct Biotechnol J
Gahan L, Raguin A, De PS.
europepmc   +1 more source

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai, Audrey Zhu, Chunxuan Ma, Ming Wang, Yifan Yang, Lynn M. Bekris, Maria Khrestian, Frank P. DiFilippo, Mikhail Nasrallah, Aaron Burberry, James B. Leverenz, Yuan Hou, Feixiong Cheng, Stephen M. Rao   +13 more
wiley   +1 more source

Proteomic profile of the dentine pellicle modified with plant polyphenols and fluoride. [PDF]

Clin Oral Investig
Carvalho TS, Baumann T, Buzalaf MAR, Rios D, Hannig M, Niemeyer SH.   +5 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Choline pelargonate treatments decreased downy mildew and powdery mildew symptoms with negligible effects on grapevine phyllosphere micro-organisms. [PDF]

FEMS Microbiol Ecol
Montanari S, Hartmann M, Nesler A, Giovannini O, Longa CMO, Perazzolli M.   +5 more
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Impact of Two Pretreatment Methods on the Chemical Profile of Still-Bottom Water and the Antioxidant Activities of Hydrosol and Still-Bottom Water from <i>Citrus × aurantium 'Daidai'</i> and <i>Citrus × aurantium</i> L. Dried Flower Buds. [PDF]

Plants (Basel)
Hao L, Li T, Chen T, Yin L, Wan Y, Zhang Y, Wang H, Zhang Y, Xia Y.   +8 more
europepmc   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Spatial Partitioning of Microbial Functional Potential Suggests Complex Nitrogen Cycling in a Subterranean Estuary. [PDF]

Environ Microbiol
Romano-Gude D, Arandia-Gorostidi N, Mena C, Diego-Feliu M, Almillategui B, Székely AJ, Bertilsson S, Bravo AG, Carrera J, Romera-Castillo C, Folch A, Garcia-Orellana J, Rodellas V, Ruiz-González C.   +13 more
europepmc   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source