The triboelectric nanogenerator (TENG) developed by Z. L. Wang's team to harvest random mechanical energy is a promising new energy source for distributed sensing systems in the new era of the internet of things (IoT) and artificial intelligence (AI) for a smart world. TENG has many advantages that make it suitable for a wide range of applications, including energy harvesting, environmental protection, wearable electronics, robotics, and self-powered sensors. Sensing as an important part of TENG applications is gradually expanding, with the in-depth study of TENG sensing in its working principle, material selection, processing technology, system integration, surface treatment, and back-end algorithms by researchers. In industry and academia, fluid dynamics sensing for liquid and air is urgently needed but lacking. In particular, local fluid sensing is difficult and limited to traditional sensors. Fortunately, with advantages for ordinary TENGs and TENGs as fluid dynamics sensors, fluid dynamics sensing can be better realized. Therefore, the paper summarizes the up-to-date work on TENGs as fluid dynamics sensors, discusses the advantages of TENGs as fluid dynamics sensors in-depth, and, most importantly, aims to explore possible new key areas to help guide the future direction of TENG in fluid dynamics sensing by addressing the key challenges.
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http://dx.doi.org/10.3390/nano12193261 | DOI Listing |
J Cereb Blood Flow Metab
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Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden.
Variations in cerebral blood flow and blood volume interact with intracranial pressure and cerebrospinal fluid dynamics, all of which play a crucial role in brain homeostasis. A key physiological modulator is respiration, but its impact on cerebral blood flow and volume has not been thoroughly investigated. Here we used 4D flow MRI in a population-based sample of 65 participants (mean age = 75 ± 1) to quantify these effects.
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January 2025
Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, 01328 Dresden, Germany.
Laser-structuring techniques like Direct Laser Interference Patterning show great potential for optimizing electrodes for water electrolysis. Therefore, a systematic experimental study is performed to analyze the influence of the spatial period and the aspect ratio between spatial period and structure depth on the electrode performance for pure Ni electrodes. Using a statistical design of experiments approach, it is found that the spatial distance between the laser-structures is the decisive processing parameter for the improvement of the electrode performance.
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January 2025
Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, United States.
Introduction: Effective disease management strategies are essential for achieving optimal pig performance, ensuring high-quality animal health and welfare, and maintaining the economic viability of swine systems. Thus, understanding factors that lead to more or less severe disease are critically important. Porcine circovirus type 2 (PCV2) and () are endemic pathogens in the U.
View Article and Find Full Text PDFACS Synth Biol
January 2025
BIOS Lab on a Chip Group, MESA+ Institute for Nanotechnology, Technical Medical Centre, Max Planck Institute for Complex Fluid Dynamics, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Advancements in molecular diagnostics, such as polymerase chain reaction and next-generation sequencing, have revolutionized disease management and prognosis. Despite these advancements in molecular diagnostics, the field faces challenges due to high operational costs and the need for sophisticated equipment and highly trained personnel besides having several technical limitations. The emergent field of CRISPR/Cas sensing technology is showing promise as a new paradigm in clinical diagnostics, although widespread clinical adoption remains limited.
View Article and Find Full Text PDFBioinspir Biomim
January 2025
Department of Mechanical and Aeronautical Engineering, University of Pretoria, University of Pretoria, Pretoria, 0002, SOUTH AFRICA.
Limited research exists on the 3D geometric models and aerodynamic characteristics of the Grey-headed Albatross (GHA). Despite existing methods for extracting bird wing cross-sections, few studies consider deflections due to aerodynamic pressure. With the GHA known for its exceptional flight speed and purported wing-lock mechanism, it offers a valuable subject for studying fixed-wing aerodynamicsin nature.
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