Results 121 to 130 of about 162,834 (322)
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
Advanced Intelligent Systems, EarlyView.This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
CellsInflammation is implicated in the etiology of obesity-related diseases. Thromboxane-prostanoid receptor (TPR) is known to play a role in mediating an inflammatory response in a variety of cells.
Vinothkumar Rajamanickam +3 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
A Power-Enhanced Algorithm for Spatial Anomaly Detection in Binary Labelled Point Data Using the Spatial Scan Statistic [postprint] [PDF]
, 2010 This paper presents a novel modification to an existing algorithm for spatial anomaly detection in binary labeled point data sets, using the Bernoulli version of the Spatial Scan Statistic.
Bath, P.A. +3 more
core
Self-association of TPR domains: Lessons learned from a designed, consensus-based TPR oligomer
Proteins: Structure, Function, and Bioinformatics, 2010 The tetratricopeptide repeat (TPR) motif is a protein-protein interaction module that acts as an organizing centre for complexes regulating a multitude of biological processes. Despite accumulating evidence for the formation of TPR oligomers as an additional level of regulation there is a lack of structural and solution data explaining TPR self ...
Krachler, A, Sharma, A, Kleanthous, K
openaire +2 more sources
Advanced Intelligent Systems, EarlyView.Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source
, 2014 Distributed models to forecast the spatial and temporal occurrence of rainfall-induced shallow landslides are based on deterministic laws. These models extend spatially the static stability models adopted in geotechnical engineering, and adopt an ...
Alvioli, M. +5 more
core +2 more sources
American Journal of Community Psychology, EarlyView.Abstract Substance use, specifically opioid and methamphetamine use, is of increasing concern among American Indian (AI) populations in the Great Plains. This community‐driven participatory study investigated the impacts of substance use and community‐defined needs in treating addiction.
Brynn Luger +8 more
wiley +1 more source
The Interaction of CRM1 and the Nuclear Pore Protein Tpr
PLoS ONE, 2014 While much has been devoted to the study of transport mechanisms through the nuclear pore complex (NPC), the specifics of interactions and binding between export transport receptors and the NPC periphery have remained elusive.
Charles L. Zhao +3 more
semanticscholar +1 more source
Tarling, 2023 Tujuan penelitian ini 1) menganalisis penerapan metode TPR; 2) melihat pengaruh metode TPR terhadap hasil belajar siswa; 3) mengetahui kelebihan metode TPR dari metode konvensional.
Ade Ruswatie Ade +2 more
doaj