Results 211 to 220 of about 159,141 (247)

AI-Assisted Physics-Informed Predictions of Degradation Behavior of Polymeric Anion Exchange Membranes. [PDF]

J Phys Chem B
Schertzer W, Al Otmi M, Sampath J, Lively RP, Ramprasad R.   +4 more
europepmc   +1 more source

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

Agribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa, Alvaro Dias   +1 more
wiley   +1 more source

Optimal Positioning for Single-Position Lateral Lumbar Interbody Fusion. [PDF]

Neurospine
Limthongkul W, Prasertkul N, Praisarnti P, Tanayavong M, Jaroenwareekul S, Yingsakmongkol W, Singhatanadgige W, Kotheeranurak V.   +7 more
europepmc   +1 more source

Elevated Risk of Complications in Patients Receiving Dual Antithrombotic Therapy Undergoing Hepatectomy: A Single‐Center Audit of 749 Cases

Annals of Gastroenterological Surgery, EarlyView.
This single‐center retrospective study evaluated perioperative outcomes after hepatectomy in 749 patients, including 140 receiving ATT, using propensity score matching to compare ATT and non‐ATT cohorts. Under standardized perioperative management, ATT did not increase major bleeding, transfusion, or severe morbidity overall; however, within the ATT ...
Haruki Mori, Hiromitsu Maehira, Nobuhito Nitta, Takeru Maekawa, Toru Miyake, Sachiko Kaida, Masatsugu Kojima, Katsushi Takebayashi, Takeshi Sonoda, Masaji Tani   +9 more
wiley   +1 more source

CT Radiomics-Based Machine Learning Model for Predicting Capsular and Neural Invasion in Thyroid Carcinoma: Diagnostic Accuracy Study.

JMIR Med Inform
Cong FF, Tian K, Gao Q, Wang F, Sun P, Xu N.   +5 more
europepmc   +1 more source

A Machine Learning Model for Predicting Posthepatectomy Liver Failure After Hepatectomy With Extrahepatic Bile Duct Resection for Perihilar Cholangiocarcinoma: With and Without Indocyanine Green

Annals of Gastroenterological Surgery, EarlyView.
Using machine learning‐based decision tree models, patients with perihilar cholangiocarcinoma undergoing major hepatectomy with extrahepatic bile duct resection were stratified according to the risk of posthepatectomy liver failure. Separate models were developed with and without indocyanine green data, enabling clinically interpretable preoperative ...
Yuki Homma, Hiroki Ohya, Ryusei Matsuyama, Isamu Hosokawa, Tsukasa Takayashiki, Yusuke Ome, Shuichiro Uemura, Ryota Higuchi, Goro Honda, Eiryo Kawakami, Masayuki Ohtsuka, Itaru Endo   +11 more
wiley   +1 more source

Hypothalamic endoplasmic reticulum stress drives pubertal precocity due to early-onset obesity in female rodents. [PDF]

Proc Natl Acad Sci U S A
Rodríguez-Vázquez E, Aranda-Torrecillas Á, Jiménez-Puyer M, Freire-Agulleiro O, Sánchez-Tapia MJ, Ruiz-Cruz M, Heras V, López-Sancho M, Ongaro L, Perdices-López C, Bernard DJ, Pineda R, Gaytan F, López M, Castellano JM, Tena-Sempere M.   +15 more
europepmc   +1 more source

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, EarlyView.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Development of Machine Learning Models to Predict Daily Gas Ebullition Flux in Waterways from Sediment Characteristics. [PDF]

ACS Environ Au
Mansouri M, Rockne KJ.
europepmc   +1 more source

Neonatal jaundice detection using a vision transformer-based deep learning model. [PDF]

Sci Rep
Lotfi M, Rabiee M, Nazarpak MH, Sangesari R, Alishahi N, Azimi MS.   +5 more
europepmc   +1 more source