Results 121 to 130 of about 184,150 (234)

rope

open access: yes
Braided leather loop through which horsehair rope passes. End consists of leather braided to form a knob.
Omaha
core  

Appraisal of Six Natural Mica Reference Materials for In Situ Rb‐Sr Geochronology

open access: yesGeostandards and Geoanalytical Research, EarlyView.
Key Points Evaluated six natural mica reference materials for in situ LA‐ICP‐MS/MS Rb‐Sr geochronology using geochemical, microstructural and isotopic characterisation. Identified robust primary reference materials: Mount Dromedary biotite (99.37 Ma) and Mica‐Fe biotite (307.75 Ma). La Posta biotite and Högsbo muscovite are suitable secondary reference
Hugo K.H. Olierook   +38 more
wiley   +1 more source

Artificial Intelligence and Machine Learning in the Context of Hemophilia: A Scope Review

open access: yesHaemophilia, EarlyView.
ABSTRACT Introduction Advances in hemophilia treatment have improved life expectancy, yet challenges remain in disease management, predicting clinical complications, and optimizing healthcare resources. Artificial intelligence (AI) and machine learning (ML) have emerged as promising tools to support clinical decision‐making and personalized care ...
Tatyane Oliveira Rebouças   +4 more
wiley   +1 more source

From Social Justice to Indigenous Peoples' Rights: Continuities and (Re)framings in Ejido Property Claims in Yucatán, Mexico

open access: yesJournal of Agrarian Change, EarlyView.
ABSTRACT This article examines how long‐standing local conflicts concerning the nature of common property, the distribution of access and administrative rights associated with it, and more broadly the nature of the community and the forms of citizenship that organise its governance shape demands for justice regarding land transfers to outside investors
Eric Léonard   +2 more
wiley   +1 more source

The Accuracy Smoothness Dilemma in Prediction: A Novel Multivariate M‐SSA Forecast Approach

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Forecasting presents a complex estimation challenge, as it involves balancing multiple, often conflicting, priorities and objectives. Conventional forecast optimization methods typically emphasize a single metric, such as minimizing the mean squared error (MSE), which may neglect other crucial aspects of predictive performance. To address this
Marc Wildi
wiley   +1 more source

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

open access: yesComputational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar   +6 more
wiley   +1 more source

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

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

open access: yesThe 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   +8 more
wiley   +1 more source

High‐throughput unmanned aerial vehicle phenomics and machine learning enables accurate early single‐plant biomass prediction in lettuce

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lettuce (Lactuca sativa L.) exhibits pronounced genotype and environment‐dependent growth variation, making early, non‐destructive single‐plant biomass prediction critical for breeding. However, harvest‐based measurements fail to capture growth dynamics.
Görkem Eren Özdemir   +8 more
wiley   +1 more source

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