Results 121 to 130 of about 8,804,924 (318)
Many scientific, imaging, and geospatial applications produce large high-precision scalar fields sampled on a regular grid. Lossless compression of such data is commonly done using predictive coding, in which weighted combinations of previously coded samples known to both encoder and decoder are used to predict subsequent nearby samples.
Ibarria, L, Lindstrom, P, Rossignac, J
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Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
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Beshadu Bedada Feyisa,1 Seble Fekadu Deyaso,2 Gosaye Mekonen Tefera3 1Department of Public Health, College of Medicine and Health Sciences, Ambo University, Ambo, Ethiopia; 2Department of Sociology, College of Social Sciences and Humanities, Ambo ...
Feyisa BB, Deyaso SF, Tefera GM
doaj
Why Can't We Accurately Predict Others' Decisions? Prediction Discrepancy in Risky Decision-Making
Individuals often fail to accurately predict others' decisions in a risky environment. In this paper, we investigate the characteristics and causes of this prediction discrepancy.
Qingzhou Sun +3 more
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This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel +13 more
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Predictors of second revascularization in patients with history of coronary artery bypass graft
Objective: The number of individuals with a history of coronary artery bypass graft surgery (CABG) who may require a second revascularization intervention is growing.
Gholamreza Davoodi +3 more
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Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
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Beyond conformal predictors: Adaptive Conformal Inference with confidence predictors
28 pages, 5 ...
Johan Hallberg Szabadváry +1 more
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ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang +8 more
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The most important theoretical tool in connection with machine learning is the bias/variance decomposition of error functions. Together with Tom Heskes, I have found the family of error functions with a natural bias/variance decomposition that has target independent variance.
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