Results 161 to 170 of about 52,420 (290)

Use of receptor and nonreceptor tyrosine kinase inhibitors and Parkinson disease risk. [PDF]

Neurotherapeutics
Malaty GR, Killion JA, Doddamreddy SA, Laurido-Soto OJ, Racette BA.   +4 more
europepmc   +1 more source

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky, Lucas Berger Munaro, Jessica E. Rutkoski   +2 more
wiley   +1 more source

Mechanisms and Manifestations of Ligand Bias in Signaling: Focus on Receptor Tyrosine Kinases. [PDF]

Chem Rev
Schuck RJ, Roy T, Bondar AN, Krejci P, Hristova K.   +4 more
europepmc   +1 more source

A new method for fault identification in real-time integrity monitoring of autonomous vehicles positioning using PPP-RTK

Autonomous vehicles require a real-time positioning system with in-lane accuracy. They also require an autonomous onboard integrity monitoring (IM) technique to verify the estimated positions at a pre-defined probability.
H. Elsayed (23532343), K. Wang (822461), Ahmed El-Mowafy (23290597)   +2 more
core  

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal, Mohammad Maruf Billah, Mandeep Singh, Dante Koupal, Pradeep Raj Sitaula, Jyotirmoy Halder, Jagdeep Sidhu, Maitiniyazi Maimaitijiang, Sunish K. Sehgal   +8 more
wiley   +1 more source

Large-scale outdoor 3D trajectory measurements enabled by drone-assisted multicamera tracking. [PDF]

Sci Adv
Kim J, Lim S, Soh P, Kim JT.
europepmc   +1 more source

Evaluation of uncrewed aerial system‐derived vegetation indices for forage trait phenomic prediction in oat–pea intercrop breeding trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accelerating genetic gain in intercrop forage breeding requires scalable phenotyping approaches that can capture both yield and quality variation across complex genotype combinations. This study evaluated the use of uncrewed aerial system (UAS)‐derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality in ...
Milcah Kigoni, Raysa Gevartosky, Lucas B. Munaro, Tim Mies, Luis Gehrke, Jessica Rutkoski, Juan David Arbelaez   +6 more
wiley   +1 more source

Elucidating Therapeutic Targets in Hereditary Multicentric Carpotarsal Osteolysis FSGS. [PDF]

J Am Soc Nephrol
Gbadegesin RA, Lane BM.
europepmc   +1 more source

SSR-RTK: RTK with SSR Corrections

Bofeng Li, Zhetao Zhang, Weikai Miao
openaire   +1 more source

De‐Escalation of Neoadjuvant Treatment for HER2‐Positive Breast Cancer

International Journal of Cancer, Volume 159, Issue 10, Page 2393-2402, 15 November 2026.
ABSTRACT With improved prognosis in early HER2‐positive breast cancer, safely de‐escalating treatment is increasingly investigated to minimize overtreatment. This article focuses on neoadjuvant de‐escalation strategies for HER2‐positive breast cancer.
Yiyin Ma, Dedian Chen, Sheng Huang
wiley   +1 more source