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Screen-Printed PVDF Piezoelectric Pressure Transducer for Unsteadiness Study of Oblique Shock Wave Boundary Layer Interaction.
Micromachines (Basel)
November 2024
Department of Microsystem Technology, University of Applied Sciences Berlin, 12459 Berlin, Germany.
Shock wave boundary/layer interactions (SWBLIs) are critical in high-speed aerodynamic flows, particularly within supersonic regimes, where unsteady dynamics can induce structural fatigue and degrade vehicle performance. Conventional measurement techniques, such as pressure-sensitive paint (PSP), face limitations in frequency response, calibration complexity, and intrusive instrumentation. Similarly, MEMS-based sensors, like Kulite sensors, present challenges in terms of intrusiveness, cost, and integration complexity.
View Article and Find Full Text PDFResearch Progress of Triboelectric Nanogenerators for Ocean Wave Energy Harvesting.
Small
December 2024
Key Laboratory of Advanced Marine Materials, Key Laboratory of Marine Environmental Corrosion and Bio-Fouling, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.
The ocean wave energy is considered one of the most promising forms of marine blue energy due to its vast reserves and high energy density. However, traditional electromagnetic power generation technology suffers from drawbacks such as high maintenance costs, heavy structures, and low conversion efficiency, which restricts its application range. The triboelectric nanogenerator (TENG) uses Maxwell displacement current as its internal driving force, which can efficiently convert irregular, low-frequency, and dispersed mechanical energy into electrical energy.
View Article and Find Full Text PDFA novel generative multi-task representation learning approach for predicting postoperative complications in cardiac surgery patients.
J Am Med Inform Assoc
December 2024
AI for Health Institute, Washington University in St Louis, St Louis, MO 63130, United States.
Objective: Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE) that uncovers intrinsic patterns via cross-task and cross-cohort presentation learning.
View Article and Find Full Text PDFEffects of Repetitive Transcranial Magnetic Stimulation on Poststroke Hemineglect: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.
Neurorehabil Neural Repair
December 2024
Department of Physical Medicine and Rehabilitation, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
Background: Although various repetitive transcranial magnetic stimulation (rTMS) and theta burst stimulation (TBS) protocols are used, their comparative effectiveness for treating poststroke hemineglect remains unassessed.
Objective: To investigate rTMS and TBS effects on clinical outcomes in poststroke hemineglect through a systematic review and network meta-analysis.
Methods: We searched PubMed, EMBASE, and Cochrane Library databases up to March 7, 2024, for trials on rTMS or TBS in poststroke hemineglect.
The role of delta phase for temporal predictions investigated with bilateral parietal tACS.
Brain Stimul
December 2024
Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg 20246, Germany; Hamburg Center of Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg 20246, Germany.
Background: Previous research has shown that temporal prediction processes are associated with phase resets of low-frequency delta oscillations in a network of parietal, sensory and frontal areas during non-rhythmic sensory stimulation. Transcranial alternating current stimulation (tACS) modulates perceptually relevant brain oscillations in a frequency and phase-specific manner, allowing the assessment of their functional qualities in certain cognitive functions like temporal prediction.
Objective: We addressed the relation between oscillatory activity and temporal prediction by using tACS to manipulate brain activity in a sinusoidal manner.
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