固态继电器为电动汽车电池监测提供便利

电动汽车常被喻作“归来的孩子”，因为这项技术在多年前进入市场后便一直沉寂，直至最近才再次活跃起来。其实，电动汽车早于1835年首次于美国出现，到1899年，纽约市接近90％的出租车都是由电力驱动。然而，当电力启动器和内燃机变得完善时，电动汽车的使用就迅速衰退。随着如今对环境保护的关注，由燃烧碳氢化合物造成的污染，加之汽油成本高升的影响，再次     

Stock-Price Forecasting Based on XGBoost and LSTM

Using time-series data analysis for stock-price forecasting (SPF) is complex and challenging because many factors can influence stock prices (e.g., inflation, seasonality, economic policy, societal behaviors). Such factors can be analyzed over time for SPF. Machine learning and deep learning have been shown to obtain better forecasts of stock prices than traditional approaches. This study, therefore, proposed a method to enhance the performance of an SPF system based on advanced machine learning and deep learning approaches. First, we applied extreme gradient boosting as a feature-selection technique to extract important features from high-dimensional time-series data and remove redundant features. Then, we fed selected features into a deep long short-term memory (LSTM) network to forecast stock prices. The deep LSTM network was used to reflect the temporal nature of the input time series and fully exploit future contextual information. The complex structure enables this network to capture more stochasticity within the stock price. The method does not change when applied to stock data or Forex data. Experimental results based on a Forex dataset covering 2008–2018 showed that our approach outperformed the baseline autoregressive integrated moving average approach with regard to mean absolute error, mean squared error, and root-mean-square error.     

An Efficient Data Dissemination Scheme for Spatial Query Processing

Due to the personal portable devices and advances in wireless communication technologies, Location Dependent Information Services （LDISs） have received a lot of attention from both the industrial and academic communities. In LDISs, it is important to reduce the query response time, since a late query response may contain out-of-date information. In this paper, we study the issue of LDISs using a Voronoi Diagram. We introduce a new NN search method, called the Exponential Sequence Scheme （ESS）, to support NN query processing in periodic broadcast environment. This paper aims to provide research directions towards minimizing both the access latency and energy consumption for the NN-query processing.     

Phase transition in V3O5

A phase transition at 420°K previously unreported, has been discovered in V₃O₅. The transition is characterized by an endothermic DTA peak on heating and an abrupt change in the electrical resistivity at the same temperature. Results from X-ray analysis of the V₃O₅ samples exhibiting the transition agree very well with the values reported by Andersson (1). Powder diffraction analysis of the high temperature phase indicates that there is a small change in the cell volume but the crystal apparently conserves its symmetry through the transition.     

Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering

Neural Processing Letters - Clustering is an essential data analysis technique and has been studied extensively over the last decades. Previous studies have shown that data representation and data...     

The application of submicron lithography defect simulation to ICyield improvement

Yield improvement efforts traditionally involve extensive experimental work aimed at diagnosis of defect sources. This paper proposes a methodology for supplementing such experimental work with defect simulation. In particular, it is shown that lithography defect simulation can provide insight into defect mechanisms that cause major distortions in photoresist profiles. The nature of the distorted patterns can assist us in yield improvement efforts, since by comparing simulation results with the observed photoresist profiles on wafers, defect sources may be identified. Several lithography defect diagnosis examples are presented to demonstrate the approach     

Selective Activation of Endoplasmic Reticulum Stress by Reactive-Oxygen-Species-Mediated Ochratoxin A-Induced Apoptosis in Tubular Epithelial Cells

Ochratoxin A (OTA), one of the major food-borne mycotoxins, impacts the health of humans and livestock by contaminating food and feed. However, the underlying mechanism of OTA nephrotoxicity remains unknown. This study demonstrated that OTA induced apoptosis through selective endoplasmic reticulum (ER) stress activation in human renal proximal tubular cells (HK-2). OTA increased ER-stress-related JNK and precursor caspase-4 cleavage apoptotic pathways. Further study revealed that OTA increased reactive oxygen species (ROS) levels, and N-acetyl cysteine (NAC) could reduce OTA-induced JNK-related apoptosis and ROS levels in HK-2 cells. Our results demonstrate that OTA induced ER stress-related apoptosis through an ROS-mediated pathway. This study provides new evidence to clarify the mechanism of OTA-induced nephrotoxicity.     

Climate change impacts on streamflow and non‐point source pollutant loads in the 3S Rivers of the Mekong Basin

Changes in non‐point source (NPS) pollutants are of particular concern in developing countries. This study investigated the responses of streamflow and NPS pollutant loads to climate change in the 3S River Basin, a trans‐boundary basin of the Mekong River, using Soil and Water Assessment Tool (SWAT). Firstly, the SWAT model in simulations of streamflow and NPS pollutant loads was calibrated and validated against observed data to prove the reliability of the simulation results. Then, the calibrated SWAT model was used to simulate changes in streamflow and NPS pollutants under the impact of climate change. The simulation results indicated that the streamflow and NPS pollutant loads are predicted to increase in the future. Moreover, water shortage in the dry season and soil degradation in the wet season are emphasized to occur in the future.     

Effects of Lactobacillus casei and Alterations in Fermentation Conditions on Biosynthesis of Glucuronic Acid by a Dekkera bruxellensis-Gluconacetobacter intermedius Kombucha Symbiosis Model System

A combination of Dekkera bruxellensis and Gluconacetobacter intermedius is used as a model system to emulate the microbial symbiosis between yeast and acetic acid bacteria in kombucha, and to study glucuronic acid (GlcUA) production in this system. In the current study, the addition of Lactobacillus casei and variations in the fermentative conditions, such as sucrose concentration, temperature and duration, were examined to evaluate their effects on GlcUA formation. Results showed that L. casei acts as a supporter species and stimulated GlcUA production in the kombucha symbiosis model to levels 54.1% greater than in the control. Varying the fermentation parameters also affected GlcUA production. Therefore, the range of each factor value was screened and restricted to achieve a higher amount of target acid, as it was 5–15%, 25–31°C, 3–7 days, and 5–7 units in sucrose concentration, temperature, fermentation time and initial pH value, respectively. These findings are an important step for optimizing GlcUA production by this model system.     

NO x and VOC Control and Its Effects on the Formation of Aerosols

This research analyzes the qualitative and quantitative behavior of aerosol dynamics resulting from the control of nitrogen oxide (NO x ) and volatile organic compound (VOC) emissions by calculating detailed pollutant isopleths. Several emission scenarios are evaluated using various norms to study the nonlinear impact of control strategies. The modeling episode studied is the Southern California Air Quality Study on August 27, 28, and 29, 1987. The modeling domain is the South Coast Air Basin of California. Research suggests that the reduction of NO x and VOC emissions traditionally implemented to control ozone also controls particulate matter, but to a limited extent. Furthermore, the effects of reducing NH 3 are more effective in PM control than reducing both NO x and VOC. Simulations indicate that the combined control of NH 3 , NO x , and VOC emissions is most effective to reduce particulate matter and ozone in the South Coast Air Basin of California.