Results 171 to 180 of about 1,754,279 (287)

A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley   +1 more source

A Systematic Review on Intervention Treatment in Pathological Gambling. [PDF]

open access: yesInt J Environ Res Public Health
Moreira D   +4 more
europepmc   +1 more source

Recent progress on the development of hydrogel‐based microneedles for transdermal drug delivery

open access: yesVIEW, EarlyView.
This study provides a comprehensive and up‐to‐date analysis of recent progress in HMN technology, covering fundamental transdermal delivery mechanisms and design principles, biomaterials used in HMN fabrication, drug loading and release strategies, and emerging therapeutic applications.
Mohammad Muhtasim Ittisaf   +5 more
wiley   +1 more source

Early pathological gambling in co-occurrence with semantic variant primary progressive aphasia: a case report. [PDF]

open access: yesClin Interv Aging, 2019
Battista P   +6 more
europepmc   +1 more source

Quantitative collagen and proteoglycan imaging reveal organic layering, gradients and regional texture in young mature dental cementum

open access: yesVIEW, EarlyView.
Cementum, the mineralized tissue covering all mammalian tooth roots, helps maintain tooth stability, but its internal organization is still poorly understood. In this study, we combine quantitative histologial methods to map the regional distributions of collagen fibers and proteoglycan‐rich matrix layers in porcine cementum.
Jie Zhen   +3 more
wiley   +1 more source

Estimating crippling loss from hunting with multistate models: a case study on northern bobwhites

open access: yesWildlife Biology, EarlyView.
Hunting as a recreational pursuit provides an important ecosystem service worldwide. Harvest management plays a vital role in regulating wildlife take to ensure long‐term population sustainability and meet value‐based objectives (e.g. hunter satisfaction). However, managers rarely have complete control or observability of harvest mortality.
Amanda S. Cramer   +10 more
wiley   +1 more source

Roaring to Go: Engagement With Positive Reinforcement Training as a Valid and Reliable Indicator of Positive Welfare in Zoo Big Cats

open access: yesZoo Biology, EarlyView.
A figure summarising the information conveyed by the abstract in graphical form ABSTRACT Engagement with positive reinforcement training is a non‐invasive, easily recorded, and valid indicator of welfare in captive bottlenose dolphins. However, despite the ubiquitousness of training programs in zoo‐housed mammals in accredited zoos, this metric has yet
Kalliopi Angelakopoulos   +1 more
wiley   +1 more source

Explaining the relation between pathological gambling and depression: Rumination as an underlying common cause. [PDF]

open access: yesJ Behav Addict, 2018
Krause K   +6 more
europepmc   +1 more source

Future Challenges and Opportunities for the Viability of Animal Populations in Zoos and Aquariums

open access: yesZoo Biology, EarlyView.
ABSTRACT Maintaining sustainable animal populations is fundamental to zoo and aquarium missions in education, visitor engagement, entertainment, scientific advancement, public health and wellbeing, advocacy, and conservation impact. Yet, sustaining viable populations remains a persistent challenge.
Lisa J. Faust   +18 more
wiley   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

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