Results 51 to 60 of about 127,298 (253)

Topological data analysis in biomedicine: A review

Journal of Biomedical Informatics, 2022
Significant technological advances made in recent years have shepherded a dramatic increase in utilization of digital technologies for biomedicine- everything from the widespread use of electronic health records to improved medical imaging capabilities and the rising ubiquity of genomic sequencing contribute to a "digitization" of biomedical research ...
Yara Skaf, Reinhard C. Laubenbacher
openaire   +2 more sources

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao, Rongwei Du, Zhujun Wang, Yang Gao, Meiling Cheng, Xianglong Wang, Wen Wu   +6 more
wiley   +1 more source

Unraveling 4‐Phenylbutyrate's Therapeutic Role in SLC6A1 Disorders: Pharmacochaperoning Over HDAC Inhibition

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Variants in SLC6A1, encoding the GABA transporter 1 (GAT‐1), cause epilepsy, autism spectrum disorder, and developmental delay via loss of GABA uptake, impaired trafficking, and ER retention. We previously found that 4‐Phenylbutyrate (PBA), an FDA‐approved drug, restores GABA uptake and reduces seizures in SLC6A1‐related disorders ...
Melissa B. DeLeeuw, Karishma Randhave, Ekta Anand, Ziang (Debbie) Song, Wangzhen Shen, Jing‐Qiong Kang   +5 more
wiley   +1 more source

Interpretable machine learning for atomic scale magnetic anisotropy in quantum materials

npj Computational Materials
The rising demand for digital storage and environmental concerns necessitate ultra-high-density, energy-efficient solutions. Atomic-scale magnets (ASMs) based on transition metal (TM) dimers on defective graphene exhibit promising magnetic anisotropy ...
Jan Navrátil, Rafał Topolnicki, Michal Otyepka, Piotr Błoński   +3 more
doaj   +1 more source

Topological Data Analysis in Natural Language Processing -- A Tutorial

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023
Topological Data Analysis (TDA) introduces methods that capture the underlying structure of shapes in data. Within the last two decades, TDA has been mostly examined in unsupervised machine learning tasks.
Wlodek Zadrozny
doaj   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

Discerning dynamics in synchrophasor data using topological data analysis

International Journal of Electrical Power & Energy Systems
This paper explores the application of topological data analysis (TDA) for capturing relevant dynamic behavior (modes) in ambient synchrophasor data. In frequency domain, dominant dynamics correspond to prominent spectral peaks, which persist under a ...
Chetan Mishra, Luigi Vanfretti, Jaime Delaree, Jr., Kevin D. Jones   +3 more
doaj   +1 more source

On the Bootstrap for Persistence Diagrams and Landscapes

Моделирование и анализ информационных систем, 2013
Persistent homology probes topological properties from point clouds and functions. By looking at multiple scales simultaneously, one can record the births and deaths of topological features as the scale varies.
F. Chazal, B.T. Fasy, F. Lecci, A. Rinaldo, A. Singh, L. Wasserman   +5 more
doaj   +1 more source

Promises and pitfalls of topological data analysis for brain connectivity analysis

NeuroImage, 2021
Developing sensitive and reliable methods to distinguish normal and abnormal brain states is a key neuroscientific challenge. Topological Data Analysis, despite its relative novelty, already generated many promising applications, including in ...
Luigi Caputi, Anna Pidnebesna, Jaroslav Hlinka   +2 more
doaj   +1 more source

Differentially Private Topological Data Analysis

CoRR, 2023
This paper is the first to attempt differentially private (DP) topological data analysis (TDA), producing near-optimal private persistence diagrams. We analyze the sensitivity of persistence diagrams in terms of the bottleneck distance, and we show that the commonly used Čech complex has sensitivity that does not decrease as the sample size $n ...
Taegyu Kang, Sehwan Kim, Jinwon Sohn, Jordan Awan   +3 more
openaire   +3 more sources