Results 151 to 160 of about 704,599 (275)

Analysis of Bond Strength of Bioceramic Sealer Following Irrigation with Chlorhexidine. [PDF]

Iran Endod J
Costa LG, Saldanha JM, da Silva-Filho JE, Aguiar BA, de Almeida Gomes F, Gurgel-Filho ED.   +5 more
europepmc   +1 more source

The National Clinical Database Risk Calculator and the 5‐Item Modified Frailty Index Predict the Development of Postoperative Delirium After Surgery for Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
This study demonstrates that combining the NCD Risk Calculator with the mFI‐5 enables more precise stratification of postoperative delirium risk in patients undergoing surgery for HCC. Patients classified as high risk by the combined model showed a markedly higher incidence of delirium than those in the intermediate‐ and low‐risk groups.
Kiyotaka Hosoda, Akira Shimizu, Koji Kubota, Tsuyoshi Notake, Hiroki Sakai, Kentaro Yoshikawa, Tomohiko Ikehara, Hikaru Hayashi, Koya Yasukawa, Yuji Soejima   +9 more
wiley   +1 more source

Correction: Emergence of a novel reassorted high pathogenicity avian influenza A(H5N2) virus associated with severe pneumonia in a young adult. [PDF]

Sci Rep
Vázquez-Pérez JA, Becerril-Vargas E, Ramírez-González JE, Solís-Hernández M, Davis CT, Garciadiego-Fossas P, Villanueva-Reza M, Chávez-Morales HH, Mendoza-Ramírez E, Olivares-Flores CD, Vera-Jiménez AC, Rumbo-Nava U, Guadarrama-Pérez C, Recinos-Carrera EG, Zúñiga J, López-Martínez I, Hernández-Rivas L, Barrera-Badillo G, Colin-Soto N, Flores-Cisneros L, Carbajal-Sandoval G, Vidal-Aguirre D, Arellano-Suarez DS, Aparicio-Antonio R, López-Elizalde R, Alcazar-Ramiro CJ, García-López A, Di H, Kirby M, Jang Y, Lezana-Fernández MA, Hernández-Cárdenas CM.   +31 more
europepmc   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

Annals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males, Marko Kumric, Zvonimir Boban, Josip Vrdoljak, Dario Pecenkovic, Matej Ivanda, Marko Grahovac, Zenon Pogorelic, Josko Bozic   +8 more
wiley   +1 more source

bootstrapping

Citation: 'bootstrapping' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10086 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

The Poisson CUSUM Chart for Monitoring Small Counts: Addressing the Estimation Uncertainty. [PDF]

Biom J
Heidema S, Stoepker IV, Huits R, Heuvel ERVD.   +3 more
europepmc   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Cure rate estimation with insufficient follow-up: A median-based bootstrap correction approach. [PDF]

PLoS One
Ibi Y, Omori T.
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source