Results 51 to 60 of about 8,233,255 (298)

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

In-Place Gestures Classification via Long-term Memory Augmented Network

, 2022
In-Place Gestures Classification via Long-term Memory Augmented ...
L Zhao (7930646), M Wang (557059), X Lu (7724942), Q Bao (13518820)   +3 more
core  

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Classification via Two-Way Comparisons

ACM Transactions on Algorithms
Given a weighted, ordered query set \(Q\) and a partition of \(Q\) into classes, we study the problem of computing a minimum-cost decision tree that, given any query \(q\in Q\) , uses ...
Marek Chrobak, Neal E. Young
openaire   +4 more sources

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Optimized Approach to Improve Classification of Wrist Movements via Electromyography Signals [PDF]

, 2020
An optimized approach aiming to improve classification accuracy of wrist movements via electromyography (EMG) signals is presented here.
Evon Wan Ting Lim, Lim, Evon Wan Ting, Phei Chin Lim, Almon Chai, Lim, Phei Chin, Chai, Almon   +5 more
core   +1 more source

Deep learning-based craniosynostosis classification via suture segmentation and mask-weighted classification

Frontiers in Medicine
IntroductionEarly diagnosis of craniosynostosis (CSO) is critical to preventing neurological complications, yet skull X-ray interpretation remains subjective, and existing deep learning models often rely on secondary cranial deformations rather than the ...
Doheyon Park, Yong Uk Jung, Byung Jun Kim, Jisang Yoo, Jeehyeok Chung, Sungmi Jeon, Hyeyeon Kwon, Soonchul Kwon, Kang Young Choi, Jinyong Shin, Jinyong Shin, Il-Hyung Yang   +11 more
doaj   +1 more source

Hyperspectral Image Classification via Matching Absorption Features

IEEE Access, 2019
In this paper, we propose to extract spectral absorptions as the discriminative features to classify hyperspectral imagery. Different from previous researches that mainly take hyperspectral curves as high-dimensional inputs, we analyze hyperspectral data
Baofeng Guo
doaj   +1 more source

Entanglement classification via neural network quantum states

New Journal of Physics, 2020
The task of classifying the entanglement properties of a multipartite quantum state poses a remarkable challenge due to the exponentially increasing number of ways in which quantum systems can share quantum correlations.
Cillian Harney, Stefano Pirandola, Alessandro Ferraro, Mauro Paternostro   +3 more
doaj   +1 more source

Classification in Twitter via Compressive Sensing [PDF]

2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2015
In this paper we introduce a novel low dimensional method to perform topic detection and classification in Twitter. The proposed method first employs Joint Complexity to perform topic detection. Then, based on the nature of the data, we apply the theory of Compressive Sensing to perform topic classification by recovering an indicator vector, while ...
openaire   +2 more sources