Results 231 to 240 of about 689,285 (377)

Dietary Sugar and Sweetened Beverage Intake Increases Inflammatory Bowel Disease Risk: A Systematic Review and Meta‐Analysis

open access: yesUnited European Gastroenterology Journal, EarlyView.
ABSTRACT Background and Aims The impact of dietary sugar intake on the risk of developing inflammatory bowel disease is unclear, with inconsistent findings across studies. The aim of this systematic review and meta‐analysis was to clarify how sugar consumption contributes to the risk of developing inflammatory bowel disease (IBD) using the most ...
Isha Maniyar   +8 more
wiley   +1 more source

Nesting ecology of an ice‐associated seabird, Kittlitz's murrelet, at the northern edge of its range

open access: yesWildlife Society Bulletin, EarlyView.
We studied the Kittlitz's murrelet, an ice‐associated seabird of conservation concern, at the northern edge of its range. Over a 2‐year period, we estimated nest density and success at 2 sites, captured and telemetered nesting murrelets, and tested the use of a thermal camera to improve nest detection.
Michelle L. Kissling   +9 more
wiley   +1 more source

Detecting depression in speech using verbal behavior analysis: a cross-cultural study. [PDF]

open access: yesFront Psychol
Amorese T   +8 more
europepmc   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma   +4 more
wiley   +1 more source

Extrapolation Reasoning on Temporal Knowledge Graphs via Temporal Dependencies Learning

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Extrapolation on Temporal Knowledge Graphs (TKGs) aims to predict future knowledge from a set of historical Knowledge Graphs in chronological order. The temporally adjacent facts in TKGs naturally form event sequences, called event evolution patterns, implying informative temporal dependencies between events. Recently, many extrapolation works
Ye Wang   +5 more
wiley   +1 more source

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