Results 141 to 150 of about 175,462,743 (276)

Pair-wise permutational multivariate analysis of variance based on site and mangrove species differentiation.

open access: yes
Pair-wise permutational multivariate analysis of variance based on site and mangrove species differentiation.
Chinedu C. Obieze (10358839)   +6 more
core   +1 more source

A Machine Vision‐Guided Microphysiological Platform With Automated Microfluidics Enables Longitudinal Biomarker Monitoring and Emulation of Translationally Relevant Exposure Scenarios

open access: yesAdvanced Science, EarlyView.
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen   +15 more
wiley   +1 more source

Book of Abstracts. VI International Workshop on Proximity Data, Multivariate Analysis and Classification [PDF]

open access: yes
s of the VI International Workshop on Proximity Data, Multivariate Analysis and Classification, 28-29 November 2024, Girona ...
Statistics and Compositional Data Analysis Research Group. Department of Computer Sciences, Applied Mathematics and Statistics. University of Girona
core   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

open access: yesAdvanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao   +6 more
wiley   +1 more source

Bioinspired Porphyrin‐Based Catalysts From Temporospatial Confined Frameworks for Ultrafast Removal of Sulfaclozine

open access: yesAdvanced Science, EarlyView.
We report the rational design of artificial photocatalysts with asymmetrically coordinated dual‐metal centers and a tailored microenvironment, broadly applicable strategy is established for the synthesis of multivariate zirconium‐based metal–organic frameworks, offering a platform for precisely tuning active‐site configurations to optimize ...
Yuxin Lu   +11 more
wiley   +1 more source

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

open access: yesAdvanced Science, EarlyView.
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan   +8 more
wiley   +1 more source

"Prediction in Multivariate Mixed Linear Models" [PDF]

open access: yes
The multivariate mixed linear model or multivariate components of variance model with equal replications is considered.The paper addresses the problem of predicting the sum of the regression mean and the random e ects.When the feasible best linear ...
Tatsuka Kubokawa, M. S. Srivastava
core  

MZF1 Inhibits TGFβ‐1/SMAD Signaling by Transcriptionally Activating SnoN to Augment Tumorigenic Potential in Colon Cancer

open access: yesAdvanced Science, EarlyView.
This study identifies MZF1 as a core regulator of colon cancer via SnoN‐mediated TGF‐β suppression, proposes 10Panx Acetate as a targeted inhibitor, and validates MZF1/SnoN as prognostic markers for aggressive disease. ABSTRACT Colon cancer progression is associated with transcriptional and signaling abnormalities.
Siqi Sheng   +9 more
wiley   +1 more source

Tissue‐Agnostic Cellular Morphometric Biomarkers for Risk‐Adapted Management Across Gastrointestinal Precancerous Lesions and Cancers

open access: yesAdvanced Science, EarlyView.
An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang   +14 more
wiley   +1 more source

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