Results 101 to 110 of about 123,621 (240)
Impacts of Biostimulants on Nitrous Oxide Emissions and the Soil Microbiome
Soil incubation experiment examining the influence of biostimulants on greenhouse gas emissions and the soil microbiome in fertilized soils. ABSTRACT Background Overapplication of nitrogenous fertilizer and enhanced microbial activity in agricultural soils are drivers of increasing greenhouse gas emissions.
Conor Blunt +4 more
wiley +1 more source
Abstract Purpose The tibial slope is a well‐known risk factor for anterior cruciate ligament (ACL) injury. As machine learning continues to progress, it has become an increasingly explored tool for clinical screening and risk factor analysis. This study aims to develop and validate a prognostic machine learning model to predict the outcome of ACL ...
Cheng‐Hao Kao +3 more
wiley +1 more source
In this work, we investigated the dynamic retinal pathology of glaucoma from onset to late stages through longitudinal in vivo high‐resolution imaging in a silicone oil‐induced ocular hypertension (SOHU) glaucoma mouse model. We developed an optimized adaptive optics two‐photon excitation fluorescence microscopy (AO‐TPEFM) technique for morphological ...
Yiming Fu +6 more
wiley +1 more source
The Identification and Analysis of the Centers of Geographical Public Opinions in Flood Disasters Based on Improved Naïve Bayes Network. [PDF]
Tang H, Xu H, Rui X, Heng X, Song Y.
europepmc +1 more source
Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning
Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh +2 more
wiley +1 more source
Expecting individuals' body reaction to Covid-19 based on statistical Naïve Bayes technique. [PDF]
Rabie AH +3 more
europepmc +1 more source
E2E: An R Package for Easy‐to‐Build Ensemble Models
ABSTRACT E2E (Easy to Ensemble) is an R package aiming to provide researchers with a simple, user‐friendly, and comprehensive ensemble learning framework to address the challenges of existing tools when dealing with imbalanced data or constructing complex models.
Shanjie Luan, Ximing Wang
wiley +1 more source
Measuring Software Maintainability with Naïve Bayes Classifier. [PDF]
Iqbal N, Sang J, Chen J, Xia X.
europepmc +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes. [PDF]
Ruz GA, Araya-Díaz P, Henríquez PA.
europepmc +1 more source

