Results 101 to 110 of about 25,059,290 (251)

Spatial-temporal rainfall simulation using generalized linear models [PDF]

open access: yes, 2005
We consider the problem of simulating sequences of daily rainfall at a network of sites in such a way as to reproduce a variety of properties realistically over a range of spatial scales.
Yang, C   +7 more
core   +1 more source

Abnormal functional connectivity patterns in temporal lobe epilepsy—An international ENIGMA‐epilepsy study

open access: yesEpilepsia Open, EarlyView.
Abstract Objectives Temporal lobe epilepsy (TLE) impacts multiple brain networks. Aberrant functional connectivity has been demonstrated in resting‐state networks (RSNs) that mediate higher brain functions in TLE. This study aimed to identify the reproducible patterns of altered functional connectivity in TLE in a large, international cohort through ...
Victoria Ives‐Deliperi   +28 more
wiley   +1 more source

Economic burden and cost determinants of epilepsy in Georgia: A longitudinal cost‐of‐illness study

open access: yesEpilepsia Open, EarlyView.
Abstract Objective To assess the economic burden, cost components, and individual‐level determinants of outpatient epilepsy care in adults in Georgia. Methods This longitudinal study of epilepsy‐related costs in adults with active epilepsy attending a tertiary epilepsy centre in Tbilisi collected clinical and sociodemographic data over 6 months. Direct
Sofia Kasradze   +5 more
wiley   +1 more source

Analysis of dental caries using generalized linear and count regression models [PDF]

open access: yesRevista Română de Statistică, 2013
Generalized linear models (GLM) are generalization of linear regression models, which allow fitting regression models to response data in all the sciences especially medical and dental sciences that follow a general exponential family. These are flexible
Javali M. Phil, Parameshwar V. Pandit
doaj  

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data

open access: yesnpj Digital Medicine
Clinical insights from real-world data often require aggregating information from institutions to ensure sufficient sample sizes and generalizability. However, patient privacy concerns only limit the sharing of patient-level data, and traditional federated learning algorithms, relying on extensive back-and-forth communications, can be inefficient to ...
Qiong Wu   +26 more
openaire   +4 more sources

Serum osteocalcin is associated with scintigraphic abnormalities in lame and clinically sound racehorses

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Musculoskeletal injury is a major welfare and economic challenge in racehorses, with stress‐related bone injury contributing to training interruption and catastrophic failure. Advanced imaging modalities can detect early skeletal pathology but remain limited in routine screening environments.
Peter Tually   +7 more
wiley   +1 more source

Identification of putative markers linked to grain plumpness in rice (Oryza sativa L.) via association mapping

open access: yesBMC Genetics, 2017
Background Poor grain plumpness (GP) is one of the main constraints to reaching the yield potential of hybrid rice. Results In this study, the GP of 177 rice varieties was investigated in three locations across 2 years.
Erbao Liu   +8 more
doaj   +1 more source

Phenotypic associations between young horse assessments and orthopaedic diagnoses in insured Swedish Warmblood horses

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Lameness is the most common health problem in riding horses, and insurance data have previously been used to investigate the prevalence of orthopaedic diagnoses in Swedish Warmblood (SWB) horses. Young horse performance testing is an important part of the SWB breeding programme and contributes data to the genetic evaluation ...
Sandra Bonow   +4 more
wiley   +1 more source

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

open access: yesFood Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob   +4 more
wiley   +1 more source

Optimization of moisture content and application rate of hay preservative during high‐moisture alfalfa hay baling in northwestern China

open access: yesGrassland Research, EarlyView.
Abstract Background Leaf shatter during low‐moisture baling and mold proliferation under high‐moisture conditions pose major challenges in alfalfa hay production. A proprietary propionic acid‐based hay preservative product, LZP, effectively inhibits microbial reproduction in high‐moisture alfalfa bales; however, its optimal moisture thresholds and ...
Zulin Yuan   +6 more
wiley   +1 more source

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