Results 201 to 210 of about 18,404 (264)

Why Use Immersive Virtual Reality to Assess Gait in Functional Motor Disorders?

Movement Disorders, EarlyView.
Abstract Background Functional motor disorders (FMD) are disabling conditions modulated by attentional demands. Immersive virtual reality (iVR) engages multiple attentional and sensory networks, but its application in people with FMD (PwFMD) remains limited.
Marialuisa Gandolfi, Chiara Bonetto, Corrado Perin, Angela Sandri, Giulia Bonardi, Ilaria Antonella Di Vico, Laura Avanzino, Elisa Pelosin, Mauro Crestani, Christian Geroin, Denis Vidale, Marco Pirini, Mirta Fiorio, Michele Tinazzi, Francesca Salaorni   +14 more
wiley   +1 more source

A 0.18-μm BCD Adaptive-On-Time Buck DC-DC Converter with 96.03% Peak Efficiency and 100% Duty Cycle. [PDF]

Micromachines (Basel)
Li T, Qi S, Liu H.
europepmc   +1 more source

The FGF/FGFR System in the Biology and Therapeutic Landscape of Pediatric CNS Tumors

Medicinal Research Reviews, EarlyView.
ABSTRACT Central nervous system (CNS) tumors are the most common solid malignancies in children, comprising a highly heterogeneous group of neoplasms defined by distinct molecular alterations and clinical behaviors. Advances in molecular genetics have underscored the relevance of specific signaling pathways in driving pediatric tumorigenesis, among ...
Serena Filiberti, Camilla Tavani, Elena Somenza, Nicolas Tassone, Antonio d'Amati, Marta Turati, Roberto Ronca   +6 more
wiley   +1 more source

The Stain Reduction and Whitening Efficacy of an Enzyme-Enhanced Mouthwash: A Comparative Study. [PDF]

Clin Cosmet Investig Dent
Amaechi BT, Abdollahi S, Vohra R, Omosebi TO, Vazir R, Nguyen D, Ussery KA, Obiefuna AC.   +7 more
europepmc   +1 more source

Deep Learning Improves Robustness of Voxelwise Kinetic Modeling for Hyperpolarized Carbon‐13 MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To evaluate whether deep learning improves the robustness of voxelwise kinetic parameter estimation from hyperpolarized (HP) 13C MRI compared with nonlinear least‐squares (NLLS) fitting. Methods A hybrid neural network (NN) was trained on synthetic pyruvate/lactate time courses generated from an open‐system two‐compartment HP 13C ...
Kofi Deh, Yeona Kang, Tsang‐Wei Tu, Rania Jones, Curtiland Deville, Rao Khan   +5 more
wiley   +1 more source

A Phase-Adjustable Noise-Shaping SAR ADC for Mitigating Parasitic Capacitance Effects from PIP Capacitors. [PDF]

Sensors (Basel)
Ouyang X, Kuang H, Kong D, Cheng Z, Yuan H.   +4 more
europepmc   +1 more source

Fault Diagnosis in an Induction‐Motor‐Driven Rotating Machinery Test Rig Under Unseen Operating Loads Using Multimodal Fusion and Multiagent Deep Reinforcement Learning

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Conventional fault‐diagnosis methods, largely grounded in one‐dimensional signal analysis and linear modeling, often fail to detect complex nonlinear faults in rotating machinery operating under variable loads. Data‐driven approaches also face challenges in extracting discriminative information from high‐dimensional multisensor measurements ...
Amirreza Marzband, Javad Poshtan
wiley   +1 more source

A PaDd-informed, Assay-calibrated Diagnostic Pathway for Suspected Pulmonary Embolism in Older Adults: From Signal to Strategy. [PDF]

Rambam Maimonides Med J
Vijayasimha M, Adusumalli SG.
europepmc   +1 more source

A conceptual health economic modelling framework to assess the cost-effectiveness of molecular target-driven treatment regimens in oncology. [PDF]

Acta Oncol
Frisell O, Aas E, Henkel PS, Fagereng GL, Taskén K, Hallersjö Hult E, Lindgren P, Steen Carlsson K.   +7 more
europepmc   +1 more source

A Direct Current-to-Digital Converter IC for Luminescence-Based Detection Toward an Energy Efficient Transcutaneous Carbon Dioxide Sensor Wearable. [PDF]

IEEE Open J Solid State Circuits Soc
Tufan TB, Larkin B, McNEILL J, Guler U.
europepmc   +1 more source