Results 151 to 160 of about 1,009,382 (298)

Can a Forest Tree Species Progeny Trial Serve as an Ex Situ Collection? A Case Study on Alnus glutinosa. [PDF]

Plants (Basel), 2023
Verbylaitė R, Aravanopoulos FA, Baliuckas V, Juškauskaitė A, Ballian D.   +4 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

Correction to: Accumulation of metals in the leaves of different urban forest tree species and its relation to the proximity to the airport. [PDF]

Environ Sci Pollut Res Int
Gkini E, Tsakaldimi M, Mousios I, Chatzistathis T, Mpountla A, Ganatsas P.   +5 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

Accumulation of metals in the leaves of different urban forest tree species and its relation to the proximity to the airport. [PDF]

Environ Sci Pollut Res Int
Gkini E, Tsakaldimi M, Mousios I, Chatzistathis T, Mpountla A, Ganatsas P.   +5 more
europepmc   +1 more source

Phenological variations in relation to climatic variables of moist temperate forest tree species of western Himalaya, India. [PDF]

Heliyon, 2023
Singh R, Rawat M, Chand T, Tripathi SK, Pandey R.   +4 more
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

The FORGENIUS Genomic Resources: New Genotyping Tools and Genomic Data for 23 Forest Tree Species and Their Genetic Conservation Units. [PDF]

Mol Ecol Resour
Pinosio S, Bagnoli F, Avanzi C, Castellani MB, Frascella A, McEvoy SL, Olsson S, Spanu I, Vajana E, FORGENIUS Consortium, González-Martínez SC, Pyhäjärvi T, Scotti I, Vendramin GG, Piotti A.   +14 more
europepmc   +1 more source

Phosphorus limitation of early growth differs between nitrogen-fixing and nonfixing dry tropical forest tree species. [PDF]

New Phytol, 2023
Toro L, Pereira-Arias D, Perez-Aviles D, Vargas G G, Soper FM, Gutknecht J, Powers JS.   +6 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source