Machine learning-based MPPT integration with quadratic double-extended DC-DC converter for grid-connected PV-powered BLDC electric vehicles. [PDF]
Karthikeyan D, Shukla VK, Rajesh K.
europepmc +1 more source
Injury Severity Influences Long‐Term Cognitive Control in Pediatric “Mild” Traumatic Brain Injury
Greater injury severity (i.e., presence of loss of consciousness and/or posttraumatic amnesia; LOC/PTA+) is associated with an increased risk of persistent, cross‐modal deficits in attentional control. Milder cases (LOC/PTA−) exhibit early compensatory neural recruitment that supports performance but is associated with greater symptom burden and long ...
Upasana Nathaniel +8 more
wiley +1 more source
Dual-output hybrid converter based on the modular universal dc-ac/dc converter. [PDF]
Gutiérrez-Escalona J +5 more
europepmc +1 more source
Talking to the Brain: Using Large Language Models as Proxies to Model Brain Semantic Features
We introduce a novel paradigm using LLMs to map the brain's semantic space with greater ecological validity. This provides a robust framework for integrating naturalistic fMRI data and reveals a hierarchically organized semantic similarity space across the cerebral cortex.
Xin Liu, Ziyue Zhang, Jingxin Nie
wiley +1 more source
Diurnal Variations and Test–Retest Reliability of Resting‐State Functional MRI Metrics
Regional homogeneity (ReHo) exhibited the highest within‐day reliability, whereas fractional amplitude of low‐frequency fluctuations (fALFF) showed the lowest. The limbic network demonstrated the lowest reliability among the networks, with a notable mid‐morning dip at 10:00. ABSTRACT Resting‐state fMRI (rs‐fMRI) is widely used to assess intrinsic brain
Bowen Guo +12 more
wiley +1 more source
Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation. [PDF]
Deshmukh S, Lokhande N, Yeolekar S.
europepmc +1 more source
Dual Encoder DCNN for Efficient and Robust Segmentation of Retinal Vascular Tree From Fundus Images
ABSTRACT Retinal vessel segmentation is a critical step for the diagnosis and monitoring of ocular and cardiovascular diseases. Despite advances in medical imaging, achieving accurate segmentation across varying fundus image resolutions remains challenging.
Henda Boudegga, Yaroub Elloumi
wiley +1 more source
Implementation of high step up converter using RBFN MPPT controller for fuel cell based electric vehicle application. [PDF]
A PM +4 more
europepmc +1 more source
Effects of Processing Parameters on the Mechanical, Thermo-Mechanical and Creep-Recovery Properties of Unidirectional Carbon Fiber Reinforced Thermoplastic Polypropylene Composites. [PDF]
Dong S +7 more
europepmc +1 more source
Recent Advances in Ultra-Weak Fiber Bragg Gratings Array for High-Performance Distributed Acoustic Sensing (Invited). [PDF]
Wang Y +8 more
europepmc +1 more source

