Results 71 to 80 of about 2,211 (209)
ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau +11 more
wiley +1 more source
Background: Blood is precious and should be utilized judiciously with minimal wasting. By analyzing the data and the reasons for discard, the blood transfusion service can develop plans to evaluate causes that lead to discard of blood and its components ...
Ashishkumar Nathabhai Kanani +3 more
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Creating a sustainable coal mining value chain from South Africa’s historical and arising discard coal [PDF]
South Africa's legacy of coal mining has resulted in the accumulation of over 2 Bt of historical coal discard. Moreover, an estimated 60 Mtpa of new discard coal (as arising) is produced from current mining operations due to the unavailability of cost ...
Sebola Mandy-Jane +2 more
doaj +1 more source
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Analysis of self-reported discard information in Uruguayan industrial trawl fisheries
Discarding unwanted catches is a significant issue arising from marine fishing activities, with far-reaching socioeconomic and ecological consequences.
Luis Orlando, Daniel García
doaj +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
O Papel dos Supermercados na Etapa da Geração e Descarte do Lixo e o Reflexo na Questão Ambiental
This study aims to discuss the role of supermarkets in the disposal of products, primarily in relation to the production of household waste arising from supermarket shopping.
Simone Beatriz Ceretta +1 more
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