Results 211 to 220 of about 541,400 (289)

Reduced occurrence of alpha waves during resting state predicts high attention‐deficit/hyperactivity disorder traits in young adults

JCPP Advances, Volume 6, Issue 3, September 2026.
Abstract Background Attention‐deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition with significant cognitive and social impacts. Identifying reliable biomarkers for ADHD is crucial for developing personalised therapies. Electroencephalography (EEG) alpha oscillations (8–12 Hz) have been suggested as a potential biomarker, but ...
Julio Rodriguez‐Larios, Ümit Aydin, Gráinne McLoughlin   +2 more
wiley   +1 more source

Erratum to "N-Screen Aware Multicriteria Hybrid Recommender System Using Weight Based Subspace Clustering". [PDF]

ScientificWorldJournal, 2015
Ullah F, Sarwar G, Lee S.
europepmc   +1 more source

Amenability Constants for Unconditional Sums of Banach Algebras

Mathematische Nachrichten, Volume 299, Issue 9, Page 2472-2494, September 2026.
ABSTRACT We study Johnson amenability for unconditional direct sums of Banach algebras. Given a family (Ai)i∈I$(A_i)_{i\in I}$ of Banach algebras and a Banach sequence lattice E$E$ on I$I$, the E$E$‐sum ⨁i∈IAiE${\bigl (\bigoplus _{i\in I} A_i\bigr)}_{\!E}$ carries a natural Banach algebra structure via coordinatewise multiplication.
Tomasz Kania, Jerzy Ka̧kol
wiley   +1 more source

3D MR Fingerprinting for Quantitative Bladder Wall T1, T2, and M0 Mapping in Healthy Subjects at 1.5 T and 3 T

NMR in Biomedicine, Volume 39, Issue 9, September 2026.
Current diagnostic tests for lower urinary tract symptoms lack the ability to assess tissue‐level alterations in the bladder wall. This study introduces an approach for simultaneous high‐resolution 3D T1, T2, and proton density mapping of the bladder wall using magnetic resonance fingerprinting combined with a self‐supervised deep learning ...
Shane A. Wells, Giulia M. Ippolito, Melis Ozkan, Wilson Sui, Anne P. Cameron, Jesse I. Hamilton   +5 more
wiley   +1 more source

Genome–phenome association prediction using weighted deep matrix factorization with a multisource graph attention network

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Genome–phenome association (GPA) prediction can broaden the understanding of biological mechanisms underlying complex phenotypic traits (e.g., diseases and agronomic traits). Traditional deep matrix factorization (DMF)‐based GPA methods can integrate multiple data types and uncover nonlinear associations but often rely on low‐dimensional ...
Ran Duan, Wei Cao, Maozu Guo, Le Tian, Lingling Zhao   +4 more
wiley   +1 more source

Single‐cell marker gene clustering: A unified deep learning framework for marker gene‐based clustering of single‐cell RNA‐sequencing data

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Single‐cell RNA sequencing (scRNA‐seq) has transformed the study of cellular heterogeneity by making it possible to classify individual cells and their functional states. However, the analysis remains difficult because high dropout rates lead to sparse and noisy expression data.
Shahriar Rahman Niloy, Toushif Muktashid Hasan, Md. Saiduzzaman Apu, Fahim Hafiz, Salekul Islam, Riasat Azim   +5 more
wiley   +1 more source

Alternative clustering in subspace projections.

, 2015
The technological advancements of recent years led to a pervasion of all life areas with information systems and allows to conveniently and affordably gather large amounts of data. The key to our information society is the transformation of the mere data in these comprehensive databases into information and knowledge.
openaire   +1 more source

Compile‐Once Block Encodings for Masked Similarity‐Transformed Effective Hamiltonians

Advanced Quantum Technologies, Volume 9, Issue 9, September 2026.
Composer transforms structured electronic‐structure operators into a reusable quantum‐circuit fabric. Once compiled, the same block‐encoding architecture is re‐dialed through coefficients, rotation angles, and masks to generate similarity‐transformed effective Hamiltonians across related problem instances, avoiding repeated structural recompilation ...
Bo Peng, Yuan Liu, Karol Kowalski
wiley   +1 more source

The Cross‐Kernel Margin: A Robustness Measure for Quantum Kernel Methods

Advanced Quantum Technologies, Volume 9, Issue 9, September 2026.
The cross‐kernel margin is introduced as a robustness measure for Quantum Kernel‐Assisted Support Vector Machines. This metric evaluates a classifier learned from a perturbed kernel within the ideal, unperturbed kernel geometry. Derived stability bounds quantify the corresponding inverse squared‐margin deviation and are numerically tested under local ...
S. Govender, I. Sinayskiy
wiley   +1 more source

Non‐Elliptical Dimension Reduction in Survival Regression

Stat, Volume 15, Issue 3, September 2026.
ABSTRACT Sufficient dimension reduction (SDR) in survival regression aims to identify low‐dimensional structures that preserve the relationship between survival time and predictors. Classical SDR methods, such as sliced inverse regression (SIR), rely on strong assumptions such as linearity, constant variance and coverage conditions, which are often ...
Minjee Kim, Minjeong Kim, Jae Keun Yoo
wiley   +1 more source