Abstract Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps during the live examination can be challenging due to various factors such as variation of skills and experience among the endoscopists, lack of attentiveness, and fatigue leading to a high...
Abstract The resulting cycle performances from our previous studies are compared for operation in 50% depth-of-discharge (DoD) and 17.5% DoD at 50% state-of-charge (SoC) cycling profiles, representing two working modes: high load and partial state-of-charge, respectively. This comparative analysis examines test cells configured with negative electrode as the capacity-limiting component. This comparative analysis, based on prior independent...
Abstract Urchin-like MnO2 polymorphs (α-, β-, and γ-) were successfully synthesized via a hydrothermal method with precise parameter optimization using a factorial design. This study provides the first comprehensive exploration of how tunnel-phase structures influence desalination performance in hybrid capacitive deionization. Among these polymorphs, α-MnO2 exhibited the most uniform urchin-like morphology with larger [2 × 2] tunnel structures, facilitating optimal ion transport and...
Abstract ω-Hydroxydodecanoic acid (HDA) is a precursor for producing Nylon 12 but its chemical synthesis is environmentally unfriendly and bacterial production titers are only in the range of mg L−1. Here we developed a novel HDA production platform by engineering the yeast Candida viswanathii that converts dodecane into dodecanedioic acid (DDA), with HDA as a metabolic intermediate....
Abstract This research investigates the enhancement of photocatalytic efficiency for nitric oxide (NO) oxidation under solar irradiation by exploiting the surface plasmon resonance (SPR) effect of palladium nanoparticles (Pd NPs). The SPR effect of Pd NPs extended the light absorption range from 357 nm to 432 nm, facilitated charge separation, and reduced electron-hole recombination, directly enhancing photocatalytic efficiency. Pd NPs were successfully deposited...
Abstract This study investigated a combination of PbS quantum dots (QDs) and ZnO nanoparticles (NPs) layers in photodiodes for photodetection. Oxygen vacancies in ZnO NPs have been known to be recombination trap sites, hindering carrier transportation. We used various amines to passivate the oxygen vacancy of ZnO NPs. It is found that ethanolamine (EA) is the most effective in reducing the surface oxygen vacancies of...
Abstract When fly ash is used in construction materials, it can increase exposure to gamma radiation and radon. This study aimed to evaluate the radioactive concentrations and exposure doses in concrete samples of grades M300 and M400 with added fly ash. We utilized an HPGe spectrometer and the RESRAD-BUILD simulation program for this purpose. The results indicated...
Abstract Lead acid batteries operate more efficiently by increasing hydrogen evolution overpotential. Battery performance is enhanced by adding graphitic carbon nitride (g-C3N4) and carbon black (CB). The CB-g-C3N4 composite material inhibited hydrogen gas evolution by increasing the overpotential of the reaction. The bilayer configuration of g-C3N4 stabilized nitrogen defect sites in a planar arrangement, introducing an additional energy barrier. The 25% and 50% g-C3N4 exhibited elevated overpotential relative to pure carbon material,...
Abstract Various transition metal sulfides have been considered alternatives for graphite in the anode of lithium-ion batteries. However, poor cycling property caused by polysulfide dissolution and structure devastation hinders their practical applications. In this work, the NiS2 has been coated by a g-C3N4 layer using a facile gas-solid state reaction for a durable-cycling-performance anode for lithium-ion batteries. The composite...
Abstract Extrapolation on Temporal Knowledge Graphs (TKGs) poses a critical obstacle, garnering significant attention in the academic sphere due to its far-reaching implications across various domains and areas of study. Predicting upcoming events through the analysis of historical data involves a complex task that requires the integration of structural patterns from historical graph data and...
