Results 211 to 220 of about 251,285 (310)
Using an Analog Multifunctional Model to Develop Cognitive Skills in Dental Implants. [PDF]
Dos Santos Leal M +3 more
europepmc +1 more source
Phenotypic scoring of canola blackleg severity using machine learning image analysis
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source
Correction: Antimicrobial Resistance and Biofilm in Bacteria from Rehabilitated Sapajus libidinosus. [PDF]
de Sá Barreto Maia Leite DP +13 more
europepmc +1 more source
What's Your Diagnosis? Large Mediastinal Mass in a Dog
Veterinary Clinical Pathology, EarlyView.
Rosane O. Cruz +7 more
wiley +1 more source
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos +11 more
wiley +1 more source
Computational study of the CO 2 hydrogenation to formic acid catalyzed by a P,P-bidentate copper(I) complex. [PDF]
Santos SA +4 more
europepmc +1 more source
Ecological analysis of the antenatal care consultation‐to‐live birth (ANC/LB) ratio across Brazil's 27 federal units (2008–2023) identified an overall increase before COVID‐19, followed by a pandemic‐related decline and heterogeneous recovery from 2021 onward, highlighting persistent regional disparities and the need to strengthen equitable antenatal ...
Márcio Cristiano de Melo +5 more
wiley +1 more source
Prevalence and magnitude of muscle loss in the pediatric intensive care unit assessed by ultrasound: a systematic review and meta-analysis. [PDF]
Nazaré MA +3 more
europepmc +1 more source
ABSTRACT Machine learning (ML) informs nursing practice, but prediction cannot establish intervention or workflow effects. Aim To map ML use within causal effect estimation and causal evaluations of ML‐enabled interventions in nursing and midwifery.
Dimitrios Kosmidis +7 more
wiley +1 more source

