Dataset for case studies of hydropower unit commitment

This paper presents the data all needed for nine case studies of hydropower unit commitment, which determines the optimal operating zones and generating discharges of units after the quarter-hourly releases and water heads are derived by the operation of cascaded hydropower reservoirs. The power output function and feasible operating zones of units are provided, and optimization solvers are used to acquire the results in detail for the case studies, including the quarter-hourly generating discharges, power generations, as well as operating zones of individual units. Performance indices, including the spillage, energy production, and the low-efficiency generating rate, are summarized for all case studies and can be readily used for comparison between algorithms in future

Multi-Scale Feature Selective Matching Network for Object Detection

Numerous deep learning-based object detection methods have achieved excellent performance. However, the performance on small-size object detection and positive and negative sample imbalance problems is not satisfactory. We propose a multi-scale feature selective matching network (MFSMNet) to improve the performance of small-size object detection and alleviate the positive and negative sample imbalance problems. First, we construct a multi-scale semantic enhancement module (MSEM) to compensate for the information loss of small-sized targets during down-sampling by obtaining richer semantic information from features at multiple scales. Then, we design the anchor selective matching (ASM) strategy to alleviate the training dominated by negative samples caused by the imbalance of positive and negative samples, which converts the offset values of the localization branch output in the detection head into localization scores and reduces negative samples by discarding low-quality anchors. Finally, a series of quantitative and qualitative experiments on the Microsoft COCO 2017 and PASCAL VOC 2007 + 2012 datasets show that our method is competitive compared to nine other representative methods. MFSMNet runs on a GeForce RTX 3090

Hydrogen Gas: A Novel Type of Antioxidant in Modulating Sexual Organs Homeostasis

Sex is a science of cutting edge but bathed in mystery. Coitus or sexual intercourse, which is at the core of sexual activities, requires healthy and functioning vessels to supply the pelvic region, thus contributing to clitoris erection and vaginal lubrication in female and penile erection in male. It is well known that nitric oxide (NO) is the main gas mediator of penile and clitoris erection. In addition, the lightest and diffusible gas molecule hydrogen (H2) has been shown to improve erectile dysfunction (ED), testis injuries, sperm motility in male, preserve ovarian function, protect against uterine inflammation, preeclampsia, and breast cancer in female. Mechanistically, H2 has strong abilities to attenuate excessive oxidative stress by selectively reducing cytotoxic oxygen radicals, modulate immunity and inflammation, and inhibit injuries-induced cell death. Therefore, H2 is a novel bioactive gas molecule involved in modulating sexual organs homeostasis

Experimental research on compressive strength deterioration of coal seam floor sandstone under the action of acidic mine drainage

Abstract In sulphur-coal symbiotic coal seams, after the mining of sulphide iron ore, when the coal resources are mined, the mine water accumulated in the roadway mining area will have a certain impact on the stability of the surrounding rock of the coal seam roadway. Taking the floor sandstone of sulfur coal symbiotic coal seam as the research object, the roof fissure water with pH values of 7.48, 4.81 and 2.62 was used as the experimental solution. 10 experimental schemes were designed to measure the compressive strength of the samples under the action of AMD, and the hydrochemical analysis of AMD was conducted. The pore structures of the samples before and after the action of AMD were analyzed. Based on the hydrochemistry and pore structure, the deterioration mechanism of compressive strength of the coal seam floor sandstone under the action of AMD was explained. The results indicated that the compressive strength of the samples decreased with the increasing action time of AMD. The compressive strength decreased with the increment of the porosity. The concentration of H+ ion in AMD was relatively small. Na2O in albite dissolved and reacted with water, leading to an increase in the concentration of Na+ ion. Soluble substances such as MgCl2 and CaSO4 in the pore structure dissolved, leading to an increase in the concentration of Ca2+ and Mg2+ ions. The dissolution of soluble substances and the physical–chemical reactions between solutions and minerals were the essential causes of the continuous deterioration of the compressive strength of the coal seam floor sandstone. The results of this study can provide a theoretical basis for the deterioration of the mechanical properties of the peripheral rock in the roadway of the sulphur coal seam, and can also provide a certain engineering reference for the sulphur coal seam roadway

Application of Optimized Fuzzy Comprehensive Evaluation Method in Water Quality Evaluation of Xiamen Bay

Based on the water quality monitoring data in the spring, summer and autumn of 2018 in Xiamen Bay, this study used the fuzzy comprehensive evaluation method to comprehensively evaluate the water quality. The results showed that the Western sea area of Xiamen, Tong'an Bay and Jiulong River estuary were seriously polluted areas, which were class Ⅳ water bodies; the water quality of southern sea area, eastern sea area and Dadeng sea area was in good condition, mainly class Ⅰ water body; DIN and DIP were the main pollutants affecting the water quality of Xiamen Bay; using the area ratio method on the basis of the results obtained by the fuzzy comprehensive evaluation method, the results showed that in 2018, Xiamen Bay as a whole was in Class Ⅲ water body condition, and the water quality needed to be further improved

Learning to cluster web search results

Organizing Web search results into clusters facilitates users ' quick browsing through search results. Traditional clustering techniques are inadequate since they don't generate clusters with highly readable names. In this paper, we reformalize the clustering problem as a salient phrase ranking problem. Given a query and the ranked list of documents (typically a list of titles and snippets) returned by a certain Web search engine, our method first extracts and ranks salient phrases as candidate cluster names, based on a regression model learned from human labeled training data. The documents are assigned to relevant salient phrases to form candidate clusters, and the final clusters are generated by merging these candidate clusters. Experimental results verify our method's feasibility and effectiveness

Amorphous Vanadium Oxide/Molybdenum Oxide Hybrid with Three-Dimensional Ordered Hierarchically Porous Structure as a High-Performance Li-Ion Battery Anode

Transition metal oxides as anode materials for lithium ion batteries (LIBs) generally suffer from significant capacity fading due to their chemical and mechanical degradations upon extended cycling. In this work, a three-dimensional (3D) ordered hierarchically porous amorphous hybrid based on vanadium oxide and molybdenum oxide (3D-OHP-<i>a</i>-VO_<i>x</i>/MoO_<i>y</i>) was first constructed and investigated as an ideal anode material for LIBs. The valence states of V and Mo in this hybrid were determined by X-ray absorption near-edge structure (XANES) measurements. The as-synthesized 3D-OHP-<i>a</i>-VO_<i>x</i>/MoO_<i>y</i> exhibits significantly improved lithium storage performance in terms of specific capacity, cycling stability, and rate capability compared to single-component <i>a</i>-VO_<i>x</i>, <i>a</i>-MoO_<i>y</i>, and highly crystalline VO_<i>x</i>/MoO_<i>y</i> hybrid (<i>c</i>-VO_<i>x</i>/MoO_<i>y</i>). The enhanced lithium storage performance of 3D-OHP-<i>a</i>-VO_<i>x</i>/MoO_<i>y</i> probably benefits from its amorphous nature, synergistic effect between <i>a</i>-VO_<i>x</i> and <i>a</i>-MoO_<i>y</i>, and 3D hierarchically porous structure. To the best of our knowledge, our result is the best among the as-reported molybdenum oxides and vanadium oxides for energy storage applications. This strategy in the current work offers a new perspective in designing high-performance anode materials for LIBs