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Heat transfer enhancement of a microchannel heat sink with the combination of...

AbstractWith the rapid increasing heat fluxes released from micro electronic devices, thermal management of electric components faces huge challenge. High working temperature generated by the chip will...

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Influence of bubbles on micro-dimples prepared by electrochemical micromachining

AbstractMicro-dimples are the basic surface textures that have played an important role in reducing or increasing friction, anti-wear, decreasing vibration, anti-adhesion, and creeping. Electrochemical...

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Constructing reliable PCM and OTS devices with an interfacial carbon layer

AbstractOvonic memory switching (OMS) and ovonic threshold switching (OTS) are the most attractive characteristics of the chalcogenides, where the former implements nonvolatile data storage in phase...

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Corner Transition Toolpath Generation Based on Velocity-Blending Algorithm...

AbstractSharp corners usually are used on glass contours to meet the highly increasing demand for personalized products, but they result in a broken wheel center toolpath in edge grinding. To ensure...

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Ovonic threshold switching selectors for three-dimensional stackable...

AbstractHigh-current switching performance of ovonic threshold switching (OTS) selectors have successfully enabled the commercialization of high-density three-dimensional (3D) stackable phase-change...

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Binary Grey Wolf Optimization-Regularized Extreme Learning Machine Wrapper...

AbstractInput variable selection plays a key role in data-driven streamflow forecasting models. In this study, we propose a two-stage wrapper model to drive one-month-ahead streamflow forecasting in...

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Real-time traffic sign detection network using DS-DetNet and lite fusion FPN

AbstractTraffic sign detection (TSD) using convolutional neural networks (CNN) is promising and intriguing for autonomous driving. Especially, with sophisticated large-scale CNN models, TSD can be...

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Dynamic multitask optimization with improved knowledge transfer mechanism

AbstractMultitasking optimization (MTO) is promising to become the next-generation mainstream optimization paradigm for optimizing multiple tasks simultaneously with high efficiency and accuracy....

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Investigating the effects of local weather, streamflow lag, and global...

AbstractThe use of machine learning (ML) models for streamflow forecasting has recently proved highly successful. However, ML is typically criticized for a lack of interpretability. Here, we develop an...

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The emerging role of pyroptosis-related inflammasome pathway in atherosclerosis

AbstractAtherosclerosis (AS), a chronic sterile inflammatory disorder, is one of the leading causes of mortality worldwide. The dysfunction and unnatural death of plaque cells, including vascular...

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Automatic trajectory generation for metal surface droplet coloring

AbstractIn this study, an automatic trajectory-generation algorithm is proposed to achieve uniform droplet coloring on the metal surfaces. First, by taking into account key parameters such as contact...

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LncRNA kcnq1ot1 promotes lipid accumulation and accelerates atherosclerosis...

AbstractKcnq1 overlapping transcript 1 (kcnq1ot1), an imprinted antisense lncRNA in the kcnq1 locus, acts as a potential contributor to cardiovascular disease, but its role in atherosclerosis remains...

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CTRP12 ameliorates atherosclerosis by promoting cholesterol efflux and...

AbstractC1q tumor necrosis factor-related protein 12 (CTRP12), a conserved paralog of adiponectin, is closely associated with cardiovascular disease. However, little is known about its role in...

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Atomic scale insight into the effects of Aluminum doped Sb2Te for phase...

AbstractTo date, the unpleasant trade-off between crystallization speed and thermal stability for most phase change materials is detrimental to achieve phase change memory (PCM) with both features of...

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Response of the shallow groundwater level to the changing environment in...

AbstractThe analysis of the influence of human activities and climate change on groundwater is an important basis for formulating groundwater management policies. However, the relationship between...

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One-Shot Municipal Solid Waste Detection via Object-Relevant Feature...

AbstractDue to the significant variation of municipal solid wastes in appearance and composition, as well as the lack of abundant labeled samples, deep learning-based municipal solid waste detection is...

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Research on novel matching topology and characteristics of rotary ultrasonic...

AbstractThe rotary ultrasonic vibration machining (RUM) system composed of ultrasonic transducers, machining tools, and inductive contactless power transmitter (ICPT) plays an important role in...

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