Results 91 to 100 of about 1,764,639 (264)
Carrion ecology: concepts, interdisciplinary synthesis, and perspectives
ABSTRACT Carrion is a ubiquitous resource in both terrestrial and aquatic ecosystems, yet it has long been overlooked in ecological research. Over the past two decades, studies on carrion and the many organisms that exploit it have flourished, revealing not only wide‐ranging ecological functions but also significance far beyond ecology.
Marcos Moleón +38 more
wiley +1 more source
sparr: Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R [PDF]
The estimation of kernel-smoothed relative risk functions is a useful approach to examining the spatial variation of disease risk. Though there exist several options for performing kernel density estimation in statistical software packages, there have ...
Tilman M. Davies +2 more
core
Classifying Discriminative Features for Blur Detection
Blur detection in a single image is challenging especially when the blur is spatially-varying. Developing discriminative blur features is an open problem. In this paper, we propose a new kernel-specific feature vector consisting of the information of a
Pang, YW +4 more
core +1 more source
This graphical abstract presents a novel Diet‐Artificial Intelligence (AI)‐intestinal Microbiota–Host Health paradigm integrating microbiota‐centric pathways and an AI‐driven multi‐omics workflow. Diet shapes gut bacteria that regulate intestinal mucosal integrity, immune signaling, and gut–brain neurotransmitters to influence host health.
Tianle He +16 more
wiley +1 more source
Identifiable regional and neural network abnormalities in early childhood anxiety
Abstract Background Although the neural underpinnings of anxiety have been investigated, most research has been confined to adolescence and adulthood, with less of a focus on the early childhood period. Little is known about the role of anticipatory fear processing early childhood, which is a sensitive period for anxiety development.
Khalil I. Thompson +7 more
wiley +1 more source
Kernel estimation for robust motion deblurring of noisy and blurry images
Most state-of-the-art single image blind deblurring techniques are still sensitive to image noise, leading to serious performance degradation in their blur kernel estimation when the input image noise increases.
Lv JF(吕进锋) +4 more
core
ABSTRACT Background Epicardial adipose tissue volume (EATV) is increasingly recognized as a cardiometabolic risk marker associated with adverse outcomes. The most established approach for EATV quantification is cardiac computed tomography (CT). MRI offers a radiation‐free alternative allowing simultaneous assessment of myocardial function and tissue ...
Judith Gronwald +10 more
wiley +1 more source
Blurred Image Restoration with Unknown Point Spread Function
Blurring image caused by a number of factors such as de focus, motion, and limited sensor resolution. Most of existing blind deconvolution research concentrates at recovering a single blurring kernel for the entire image.
ghada sabah karam
doaj +1 more source
Patient‐derived xenograft (PDX) tumor models initiated in avian chorioallantoic membranes (CAM) are under investigation to evaluate the effectiveness of therapeutic options with the objective of personalizing treatments. CAM PDXs paired with ultra‐high frequency ultrasound (UHFUS) imaging could potentially constitute prospective high throughput assays ...
Sara Mar +5 more
wiley +1 more source
From ACR O‐RADS 2022 to Explainable Deep Learning
Objectives The 2022 update of the Ovarian‐Adnexal Reporting and Data System (O‐RADS) improves risk stratification of adnexal lesions; however, radiologist interpretation remains subject to inter‐observer variability and conservative diagnostic thresholds.
Ali Abbasian Ardakani +11 more
wiley +1 more source

