Results 171 to 180 of about 296,242 (293)

PRE-ECV Score: Validation of a Pre-Specified Tool for Predicting the Success of External Cephalic Version at Term-Proof of Concept. [PDF]

J Clin Med
Manasar-Dyrbuś M, Niziński K, Skowronek K, Winkowska E, Stojko R, Staniczek J.   +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

Multicomponent stress-strength reliability analysis using the inverted exponentiated rayleigh distribution under block adaptive type-II progressive hybrid censoring and k-records. [PDF]

Sci Rep
Newer HA.
europepmc   +1 more source

Bootstrap Methods for a Measurement Estimation Problem

, 2006
José Ismael De la Rosa Vargas, G. Fleury   +1 more
openalex   +2 more sources

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Correction: Genome-wide identification and expression profiling of the MADS-box gene family in Lavandula angustifolia. [PDF]

BMC Genomics
Li Y, Xiang J, Wang X, Ren J, Liu D, Zhang D, Guo D, Ma B.   +7 more
europepmc   +1 more source

Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning

Advanced Intelligent Discovery, EarlyView.
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley   +1 more source

Robust Lifetime Estimation from HPGe Radiation-Sensor Time Series Using Pairwise Ratios and MFV Statistics. [PDF]

Sensors (Basel)
Golovko VV.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Metagenomic exploration of the virome of <i>Rhipicephalus sanguineus</i> ticks from Chachoengsao, Thailand. [PDF]

Front Microbiol
Saba Villarroel PM, Piorkowski G, Laojun S, Liégeois F, Gumpangset N, Missé D, Chaiphongpachara T, Wichit S.   +7 more
europepmc   +1 more source