Dual‐Responsive Yarn‐Based Artificial Muscles for Adaptive Thermal Management
Inspired by the conscious movements of skeletal muscle, a novel hybrid yarn‐based artificial muscle (HYAM) coupling moisture actuation with controllable recovery is developed. This unique design increases actuation stroke by 128% and shortens recovery time by 91%. This unique design enhances the actuation stroke by 128% and reduces the recovery time by
Mengjiao Pan +11 more
wiley +1 more source
Machine learning based analysis of diesel engine performance using Fe₃O₄ nanoadditive in sterculia foetida biodiesel blend. [PDF]
Mylapalli S +7 more
europepmc +1 more source
Rotary Electromechanical System Integrating Non‐Reciprocal Memory and Combinational Logic
Rotational bistability, interfaced through a conductive network with switchable contacts, unifies logic operations and mechanical memory within a rotary electromechanical system. The author demonstrates how serially coupled configurations of rotationally bistable modules enable reprogrammable sequential logic governed by mechanical state transition and
Shujia Chen, Don Straney, Damiano Pasini
wiley +1 more source
Atmospheric emission assessment for LNG carriers: a state-of-the-art semi-empirical methodology. [PDF]
Gutiérrez CG +4 more
europepmc +1 more source
Mitochondrial Transplantation as a Therapeutic Strategy for Inherited Mitochondrial Diseases
Mitochondrial transplantation (MTx) offers a promising therapeutic avenue for mitochondrial diseases. This review comprehensively evaluates MTx, differentiating its feasibility for mtDNA‐ and nDNA‐based disorders. It examines its potential for genetic correction, alongside inherent limitations, technical challenges, and crucial ethical considerations ...
Parmeshar Singh +17 more
wiley +1 more source
Sustainable Gossypium arboreum biodiesel production using an industrial waste heterogeneous catalyst for RCCI engine applications. [PDF]
Rao TSSB +5 more
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Effects of IT, EGR, and IAT on Combustion and Emissions in a Diesel Engine Fueled with Tung Oil-Based Biodiesel Blends. [PDF]
Zhang Y +6 more
europepmc +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Exploring the potential of nano-enhanced lemongrass biodiesel blends with hydrogen premixing for improved CI engine behaviour. [PDF]
Lawrence KR +5 more
europepmc +1 more source

