Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
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Effect of Heat Treatment on Microstructure and Properties of 304/Q235 Composite Round Steel. [PDF]
Zheng X, Ding Y.
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Fatigue characteristics and mechanical evaluation of basalt fiber reinforced composite material concrete under freeze-thaw cycles. [PDF]
Sun H +6 more
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Advances in Titanium-Based Biomaterial for Human Bone Scaffolds: Narrative Review on Design, Fabrication, Surface Engineering, Implantation, and Biological Evaluation. [PDF]
Fita SW +3 more
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A Comparative Analysis of the Fatigue Strength of Aluminium and Copper Wires Used for Power Cables. [PDF]
Knych T, Smyrak B, Jurkiewicz B.
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Microstructural, Electrochemical, and Mechanical Assessment of Additive Manufactured Titanium Grade 23 for Dental Implants Application. [PDF]
Teschke M +4 more
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A novel approach to assess surface roughness and EDX profiling of blue rotary NiTi files following dynamic immersion in various hypochlorite concentrations. [PDF]
Safwat HA, Mohammed NY, El-Hady AA.
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AbstractAn Proben aus Stahl St.3 wird die Korrosionsschutzwirkung von 6 aromatischen N‐ haltigen Verbindungen bei Wechselbeanspruchung in 4N HCl (Inhibitorkonzentration 0,5%) untersucht.
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Purpose Most supersonic aircraft were manufactured using 2A70 aluminum alloy. The purpose of this paper is to study the corrosion mechanism and fatigue behavior of an aircraft in a semi-industrial atmospheric corrosive environment, alternating effects of corrosion and fatigue were used to simulate the aircraft’s ground parking corrosion and air flight
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