Publications by authors named "N De Wever"

Fibres, as abundant in agricultural by-products, exhibit a large range of physicochemical properties that can influence digestive processes such as digesta mean retention time (MRT), thereby affecting nutrient digestion kinetics. In this study, we investigated the effects of particle size of insoluble fibres, and gelation of soluble fibres on MRT of liquids, fine solids, and fibrous particles in the different segments of the gastrointestinal tract (GIT) of pigs. Twenty-four boars (51.

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Article Synopsis
  • The study examined how different sources and frequencies of rumen-protected (RP) protein supplements affect the metabolism of amino acids (AAs) in dairy cows and their overall milk production and nitrogen (N) balance.
  • Twenty-eight Holstein-Friesian cows were used in a controlled feeding trial that compared a standard total mixed ration (TMR) with RP protein supplements, revealing that specific supplements increased milk protein and fat concentrations.
  • While the type of protein source did not significantly impact nitrogen balance, the ST-RPAA supplement showed a higher efficiency in converting RP protein into milk protein, indicating potential benefits for dairy cattle nutrition.
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Sub-grid-scale processes occurring at or near the surface of an ice sheet have a potentially large impact on local and integrated net accumulation of snow via redistribution and sublimation. Given observational complexity, they are either ignored or parameterized over large-length scales. Here, we train random forest (RF) models to predict variability in net accumulation over the Antarctic Ice Sheet using atmospheric variables and topographic characteristics as predictors at 1 km resolution.

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Clouds regulate the Greenland Ice Sheet's surface energy balance through the competing effects of shortwave radiation shading and longwave radiation trapping. However, the relative importance of these effects within Greenland's narrow ablation zone, where nearly all meltwater runoff is produced, remains poorly quantified. Here we use machine learning to merge MODIS, CloudSat, and CALIPSO satellite observations to produce a high-resolution cloud radiative effect product.

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Background: Submuscular transposition (SMT) of the ulnar nerve is frequently performed as secondary procedure in patients with persistent or recurrent cubital tunnel syndrome (CuTS) despite previous surgery. Good results have been reported for this surgical strategy, but mainly in small retrospective case series. The goal of the present study is therefore to analyze the results prospectively using a patient-reported outcome measure (PROM): patient-rated ulnar nerve evaluation (PRUNE).

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