Results 221 to 230 of about 270,006 (285)

RAB32-Linked Parkinson's Disease: Deep Phenotyping, MDSGene Literature Review, and Application of SynNeurGe Criteria. [PDF]

Mov Disord
Kleinz T, Cavallieri F, Borsche M, Toschi G, Valzania F, Fioravanti V, Valente EM, Mitrotti P, Avenali M, Zittel S, Born R, Matarazzo M, Di Fonzo A, Monfrini E, Radefeldt M, Santinelli L, Griebner N, Shambetova C, Brand M, Gabbert C, Blauwendraat C, Trinh J, Lohmann K, Beetz C, Bauer P, Brüggemann N, Global Parkinson's Genetics Program (GP2), Klein C.   +27 more
europepmc   +1 more source

Clinical utility of pharyngeal high‐resolution manometry with impedance for upper esophageal sphincter dysfunction in gastroenterology

Advances in Digestive Medicine, EarlyView.
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar, Taher Omari, Michal Szczesniak, Chien‐Lin Chen, Richard Heddle, Charles Cock   +5 more
wiley   +1 more source

Operationalizing Access for Chimeric Antigen Receptor T cell Therapies: A Cross-functional Perspective. [PDF]

Mayo Clin Proc Innov Qual Outcomes
Singh S, Greulich C, Perez A, Terrell K, Walz-Jensen J, Dalzell MD.   +5 more
europepmc   +1 more source

MusicSwarm: Biologically Inspired Intelligence for Music Composition

Advanced Intelligent Systems, EarlyView.
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley   +1 more source

Investigating the attitudinal and behavioral consequences of work-life balance considering the mediating role of psychological contract violation among english language teachers. [PDF]

BMC Psychol
Niazi E, Arabmofrad A, Bagheri R, Shamsabadi AH.   +3 more
europepmc   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

A server-assisted secure blockchain model for residential demand response in smart grids. [PDF]

Sci Rep
Ghosh A, Goswami AK, Shuaibu HA, Ustun TS.   +3 more
europepmc   +1 more source

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Advanced Intelligent Systems, EarlyView.
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li   +4 more
wiley   +1 more source

Prospective Associations of Obesity and Obesity Severity With 9 Cardiovascular Outcomes: The Cross-Cohort Collaboration. [PDF]

Circulation
Dardari ZA, Yao Z, Zhang J, Bakoyannis G, Nan H, Staten LK, Jha KK, Tasdighi E, Jelwan Y, Burka S, Matsushita K, Simonsick EM, Lima JAC, Psaty BM, Cohen DL, Appel LJ, Khera A, Shah AM, Hall ME, Judd SE, Cole SA, Vasan RS, Benjamin EJ, Cawthon PM, Orwoll E, LaMonte MJ, Eaton CB, El Khoudary SR, Thurston RC, Derby CA, Lotufo PA, Bensenor IM, Bittencourt MS, Blaha MJ.   +33 more
europepmc   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source