Results 41 to 50 of about 197,777 (277)

Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering

, 2019
Deep metric learning has been widely applied in many computer vision tasks, and recently, it is more attractive in \emph{zero-shot image retrieval and clustering}(ZSRC) where a good embedding is requested such that the unseen classes can be distinguished
Chen, Binghui, Deng, Weihong
core   +1 more source

Incorporating uric acid into the CHA2DS2-VASc score improves the prediction of new-onset atrial fibrillation in patients with acute myocardial infarction

BMC Cardiovascular Disorders, 2023
Background New-onset atrial fibrillation (NOAF) is a common cardiac arrhythmia observed in patients with acute myocardial infarction (AMI) and is associated with worse outcomes.
Xuefeng Wu, Yi Zhang, Xili Yang, Zhaoyan Xu, Yingqing Feng   +4 more
doaj   +1 more source

A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study

JMIR mHealth and uHealth, 2021
BackgroundRecent falls prevention guidelines recommend early routine fall risk assessment among older persons. ObjectiveThe purpose of this study was to develop a Falls Screening Mobile App (FallSA), determine its ...
Devinder Kaur Ajit Singh, Jing Wen Goh, Muhammad Iqbal Shaharudin, Suzana Shahar   +3 more
doaj   +1 more source

A daytime nap does not increase mnemonic discrimination ability [PDF]

Journal of Sleep Research, 2020
AbstractIt has been proposed that sleep readies the brain for novel learning, and previous work has shown that sleep loss impairs the ability to encode new memories. In the present study, we examined if a daytime nap would increase mnemonic discrimination (MD) performance.
Per Davidson, Peter Jönsson, Mikael Johansson   +2 more
openaire   +3 more sources

Pulmonary Dysfunction Is Associated With Sleep Study Abnormalities in Children With Sickle Cell Disease: A Multicenter Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash, Anis Rabbani Nourani, A. K. M. Fazlur Rahman, Dima Ezmigna, Tarig Ali‐Dinar   +4 more
wiley   +1 more source

An Efficient Spectral Feature Extraction Framework for Hyperspectral Images

Remote Sensing, 2020
Extracting diverse spectral features from hyperspectral images has become a hot topic in recent years. However, these models are time consuming for training and test and suffer from a poor discriminative ability, resulting in low classification accuracy.
Zhen Li, Baojun Zhao, Wenzheng Wang
doaj   +1 more source

DASTSiam: Spatio‐temporal fusion and discriminative enhancement for Siamese visual tracking

IET Computer Vision, 2023
The use of deep neural networks has revolutionised object tracking tasks, and Siamese trackers have emerged as a prominent technique for this purpose.
Yucheng Huang, Eksan Firkat, Jinlai Zhang, Lijuan Zhu, Bin Zhu, Jihong Zhu, Askar Hamdulla   +6 more
doaj   +1 more source

Assessing Cognitive Functioning in Children With Brain Tumors: Interaction of Neighborhood Social Determinants of Health and Neurological Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich, Manali Zope, Peter M. Fantozzi, Cassie N. Kline, Iris Paltin, Matthew C. Hocking   +5 more
wiley   +1 more source

Generative discriminative models for multivariate inference and statistical mapping in medical imaging

, 2018
This paper presents a general framework for obtaining interpretable multivariate discriminative models that allow efficient statistical inference for neuroimage analysis.
A Rao, AE Hoerl, C Davatzikos, E Varol, J Ashburner, J Mairal, L Grosenick, M Ganz, MR Sabuncu, N Kriegeskorte, NK Batmanghelich, PM Rasmussen, R Cuingnet, S Haufe, Y Benjamini   +14 more
core   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source