Results 171 to 180 of about 1,020 (264)
This work explores the use of various fillers, including eggshell powder, feather meal, peanut hulls, and sawdust to reinforce a base binder GFS90 (comprised of 90 wt.% sulfur, 5 wt.% chicken fat, and 5 wt.% sunflower oil). The resulting composites showed impressive compressive strengths ranging from 15.3 to 36.2 MPa, making them a potential ...
Bárbara G. S. Guinati +5 more
wiley +1 more source
Stability and Repeatability Analysis of a Phase-Modulated Optical Fibre Sensor for Transformer Oil Ageing Detection. [PDF]
Elele U +5 more
europepmc +1 more source
Abstract Oxidation of furfural (FF), a bio‐based platform chemical, was investigated using a range of iron‐, vanadium‐ and iron–zinc‐oxalates supported on silica gel (FeVOx@silica and FeZnOx@silica, respectively) as precursor for FeV@silica and FeZn@silica oxide catalysts and H2O2 as a green oxidant.
Alexander Pokutsa +2 more
wiley +1 more source
Selective Green Colorimetric Liquid- and Solid-Based Determination of Furfural in Power Transformer Insulating Fluid. [PDF]
Kim E, Jun T, Kim AR, Kwak BS, Park H.
europepmc +1 more source
The construct of cell‐niche co‐aggregates (GelMA‐SHED sphere‐DDMPs) promotes cranial and periodontal bone regeneration and ensures angiogenic‐osteogenic coupling by downregulating miR‐34c‐5p to enhance the expression of NOTCH1 and its intracellular domain (NICD).
Xiao‐Hui Zhang +23 more
wiley +1 more source
Nanoengineered PDMS/Pd/ZnO-Based Sensor to Improve Detection of H<sub>2</sub> Dissolved Gas in Oil at Room Temperature. [PDF]
Lustosa GMMM +6 more
europepmc +1 more source
Corporate Decarbonization via Technology and Management
ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran +2 more
wiley +1 more source
Tucker Decomposition-Based Feature Selection and SSA-Optimized Multi-Kernel SVM for Transformer Fault Diagnosis. [PDF]
Wang L, Liu X.
europepmc +1 more source
ABSTRACT The transition to net zero (NZ) faces challenges such as uneven institutional readiness, fragmented policy frameworks and rising energy demands from population growth, economic expansion and artificial intelligence (AI). These obstacles are intensified by technological, financial and regulatory uncertainties that impede coordinated efforts ...
Mohamed Shrief +3 more
wiley +1 more source
Smart Monitoring of Power Transformers in Substation 4.0: Multi-Sensor Integration and Machine Learning Approach. [PDF]
Duz FHS +6 more
europepmc +1 more source

