Results 201 to 210 of about 1,001,846 (312)

Secondary Traumatic Stress Among Emergency Medical Personnel: A Cross-Sectional Study in Romania. [PDF]

open access: yesNurs Rep
Virzob CRB   +6 more
europepmc   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

open access: yesEnergy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom   +2 more
wiley   +1 more source

Tau biomarkers in Special Operations Forces with repeated blast exposure: a cross-sectional study. [PDF]

open access: yesBrain Commun
Tseng CJ   +14 more
europepmc   +1 more source

Mono‐dimensional, two‐dimensional and Doppler echocardiographic measurements in healthy Standardbred neonatal foals in the first 5 days of life

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Bodyweight, age and breed influence the echocardiographic assessment of foals. There are no echocardiographic studies in Standardbred neonatal foals. Objectives To describe echocardiographic values for selected variables, evaluate intra‐ and inter‐observer variability and assess cardiac changes in the first 5 days of life in healthy
Fernanda Timbó D'el Rey Dantas   +8 more
wiley   +1 more source

Piezosurgical partial ostectomy of the incisive bone for an ossifying fibroma removal in a 4‐year‐old Warmblood gelding

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Ossifying fibromas are uncommon in horses and complete surgical excision with premaxillectomy, maxillectomy or mandibulectomy is recommended. Piezosurgery has been previously used in equines only in one study. Objective To report a case of ossifying fibroma treated with piezosurgery and to describe its follow‐up.
G. Forni   +3 more
wiley   +1 more source

Leveraging Machine Learning to Predict Food Waste Quantity: Focusing on Military Dining Facilities as Large‐Scale Food Service Operations

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Food waste reveals inefficiencies in resource use and contributes significantly to environmental pollution. In the United States, food waste accounts for the majority of total waste, with more than 50 million tons generated annually. In military units that operate large‐scale institutional food‐service facilities and generate significant food ...
YongSun Kim, Hyun Shik Yoon
wiley   +1 more source

Challenges and Solutions in Deploying Systematized Nomenclature of Medicine—Clinical Terms in the Chinese Healthcare Context

open access: yesHealth Care Science, EarlyView.
ABSTRACT Systematized nomenclature of medicine—clinical terms (SNOMED CT), one of the most comprehensive clinical terminology systems, is pivotal in enhancing healthcare interoperability, clinical data governance, and medical artificial intelligence (AI) development globally.
Ge Wu   +9 more
wiley   +1 more source

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

open access: yesHead &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He   +10 more
wiley   +1 more source

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