Results 111 to 120 of about 306,651 (371)

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Speech Biomarkers From Smartphone Calls Track Progression in REM Sleep Behavior Disorder and Parkinson's Disease

Annals of Neurology, EarlyView.
Objective This 24‐month longitudinal study involving isolated rapid eye movement sleep behavior disorder (iRBD), early‐stage Parkinson's disease (PD), and matched healthy control subjects aimed to assess whether acoustic speech features from real‐world smartphone calls provide passive progressive biomarkers in synucleinopathies.
Michal Šimek, Tereza Tykalová, Michal Novotný, Vojtěch Illner, Tomáš Kouba, Martin Šubert, Pavel Sovka, Jan Švihlík, Evžen Růžička, Karel Šonka, Petr Dušek, Jan Rusz   +11 more
wiley   +1 more source

Can social media provide early warning of retraction? Evidence from critical tweets identified by human annotation and large language models

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Timely detection of problematic research is essential for safeguarding scientific integrity. To explore whether social media commentary can serve as an early indicator of potentially problematic articles, this study analyzed 3815 tweets referencing 604 retracted articles and 3373 tweets referencing 668 comparable non‐retracted articles. Tweets
Er‐Te Zheng, Hui‐Zhen Fu, Mike Thelwall, Zhichao Fang   +3 more
wiley   +1 more source

Automation of an integrated micro‐scale platform for monoclonal antibody process development by incorporation of a depth filter mimic

Biotechnology Progress, EarlyView.
Integrating non‐chromatographic operations, such as low pH viral inactivation and a depth filtration mimic, into an automated micro‐scale platform enhances productivity while reducing resource and time requirements. By facilitating rapid, data‐rich experimentation, the platform offers a powerful and efficient tool for assessing and optimizing ...
Paras Sharma, Petra Sebastian, Lars Robbel, Michael Schmitt, Daniel G. Bracewell   +4 more
wiley   +1 more source

Caffeine Content Assessment in Beverages and Food Supplements: Regulatory Challenges and Health Implications

ChemFoodChem, EarlyView.
ABSTRACT This study presents an analysis of caffeine content in food supplements and evaluates current regulatory frameworks against established safety guidelines. High‐caffeine products, particularly sports, and food supplements, were assessed for compliance with the safety opinion of the European Food Safety Authority (EFSA). The investigation during
Leonie Rinke, Ann‐Kathrin Kull, Verena Bock, Dirk W. Lachenmeier   +3 more
wiley   +1 more source

Mid‐Infrared Spectroscopy and Machine Learning for Chlorogenic Acid Quantification in Coffee

Chemie Ingenieur Technik, EarlyView.
Chlorogenic acid (CGA) concentration in coffee was predicted using mid‐infrared (MIR) spectroscopy and a machine learning approach. Forty‐four roasting stages (140–220 °C) plus a green coffee control were analyzed. A multilayer perceptron regressor, trained on preprocessed MIR data, outperformed traditional peak analysis, enabling accurate and ...
Deborah Herdt, Felix Wühler, Thomas Kunz, Victoria Schiwek, Sarah Kühnemuth, Brian Gibson, Matthias Rädle   +6 more
wiley   +1 more source

L'opus doliare urbano in Africa ed in Sardinia [PDF]

, 1987
I fondamentali studi di M. Steinby sull'opus doliare urbano hanno contribuito a chiarire in maniera definitiva la necessità di distinguere un'area di mercato dell'opus doliare, coincidente parzialmente con l'area di produzione, da un'area di ...
Zucca, Raimondo
core  

Tailoring Thermophysical Properties and Multiscale Machine Learning Modeling of 2D Nanomaterial‐Infused Beeswax as a Green NePCM for Sustainable Thermal Management Systems

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study develops eco‐friendly two‐dimensional nanoparticle‐enhanced phase change materials (2D NePCMs) using biodegradable beeswax infused with rGO, GO, and MXene nanoparticles. Experimental results demonstrated up to 21.9% enhancement in thermal conductivity with minimal latent heat loss, while machine learning models achieved >95% predictive ...
Abdullah Aziz, Shoaib Anwer, Eiyad Abu‐Nada, Anas Alazzam   +3 more
wiley   +1 more source

THE PLATES OF BORROMINI’S CASA DEI FILIPPINI IN <i>OPUS ARCHITECTONICUM</i>

, 2023
Tomoko MINAMI
openalex   +2 more sources

Phloretin Suppresses Preadipocyte Differentiation by Targeting PPARγ/Transferrin to Activate Ferroptosis Signaling Pathway

Food Frontiers, EarlyView.
Phloretin alleviates HFD‐induced obesity and suppresses adipogenesis by activating the ferroptosis pathway, potentially via targeting PPARγ and transferrin. ABSTRACT Phloretin, a plant‐derived dihydrochalcone bioactive compound, potentially modulates preadipocyte differentiation, although this remains controversial and requires further clarification ...
Jie Li, Qihui Zhu, Yang Li, Haiyu Zhao, Yi Bi, Chuanying Pan, Min Wang, Lin Han, Xianyong Lan   +8 more
wiley   +1 more source