Results 221 to 230 of about 1,645,533 (278)

A Machine Learning Model Based on Clinical Factors to Predict the Efficacy of First-Line Immunochemotherapy for Patients With Advanced Gastric Cancer: Retrospective Study. [PDF]

JMIR Med Inform
Cheng X, Li P, Meng E, Wu X, Wu H.
europepmc   +1 more source

A return to normality: A descriptive qualitative interview study exploring the patient experience of gout flare resolution

Arthritis Care &Research, Accepted Article.
Objectives While the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semi‐structured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart, Anne Horne, Angelo Gaffo, Lisa K Stamp, N Lawrence Edwards, Nicola Dalbeth   +5 more
wiley   +1 more source

Assessment of iodine nutrition status in individual adults using machine learning: a cross-sectional study integrating multidimensional features. [PDF]

BMC Public Health
Yue ZY, Li CH, Zhang ZX, Zhao M, Zhao T, Zeng XK, Liu YH, Su Y, Li J, Pan HW, Hou X, Xie HL, Liu P.   +12 more
europepmc   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

Multimodal Deep Learning for Prediction of Progression-Free Survival in Patients with Neuroendocrine Tumors Undergoing ¹⁷⁷Lu-Based Peptide Receptor Radionuclide Therapy. [PDF]

Cancers (Basel)
Baur S, Ruhwedel T, Böke E, Kobus Z, Lishkova G, Wetz C, Amthauer H, Roderburg C, Tacke F, Rogasch JM, Samek W, Jann H, Ma J, Eschrich J.   +13 more
europepmc   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

Advanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera, Philippe Marrec, A. Jorge Parola, Madalena Dionísio, Hugo Águas, Andreia F. M. Santos, Hamed Pourkheirollah, Donald Lupo, César A. T. Laia   +8 more
wiley   +1 more source

Network topology and recovery delay thresholds determine cascading failure vulnerability in sports systems. [PDF]

Sci Rep
Park C.
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

How do social media use, gaming frequency, and internalizing symptoms predict each other over time in early-to-middle adolescence? [PDF]

J Public Health (Oxf)
Cheng Q, Panayiotou M, Finserås TR, Andersen AIO, Humphrey N.   +4 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source