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A Capillary Electrophoresis Detection Scheme for Water-soluble Vitamins Based on Luminol-BrO^- Chemiluminescence System

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Chinese Chemical Letters 2003年第2期14卷 185-187页

作者： Wei DENG Wei Ping YANG Zhu Jun ZHANG hou jiang Zhou College of Chemistry and Materials Science Shaanxi Normal UniversityXi'an 710062

A novel chemiluminescence detection scheme has been developed for detecting water-soluble vitamins following capillary electrophoresis (CE) separation. This detection was based on the inhibitory effect of vitamins on the CL reaction between luminol and BrO- in basic aqueous solution. Detection of vitamins was accomplished with a boratebased background electrolyte at pH 9.2. The luminol was used as a component of the separation carrier electrolyte.

关键词： Capillary electrophoresis chemiluminescence vitamins.

Paired Domination of Cartesian Products of Graphs

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Journal of Mathematical Research and Exposition 2010年第1期30卷 181-185页

作者： Xin Min hou Fan jiang Department of Mathematics University of Science and Technology of China Anhui 230026 P. R. China

Let γpr（G） denote the paired domination number and G □ H denote the Cartesian product of graphs G and H. In this paper we show that for all graphs G and H without isolated vertex, γpr（G）γpr（H）≤ 7γpr （G ... 详细信息

关键词： domination paired domination Cartesian product.

Geospatial assessment of rooftop solar photovoltaic potential using multi-source remote sensing data

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Energy and AI 2022年第4期10卷 17-28页

作者： hou jiang Ling Yao Ning Lu Jun Qin Tang Liu Yujun Liu Chenghu Zhou Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing100101China Southern Marine Science and Engineering Guangdong Laboratory Guangzhou 511458China jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing Normal UniversityNanjing 210023China School of Information Engineering China University of Geosciences(Beijing)Beijing100083China Provincial Geomatics Center of jiangsu Nanjing210013China

Rooftop solar photovoltaics (PV) play increasing role in the global sustainable energy transition. This raises the challenge of accurate and high-resolution geospatial assessment of PV technical potential in policymaking and power system planning. To address the challenge, we propose a general framework that combines multi-resource satellite images and deep learning models to provide estimates of rooftop PV power generation. We apply deep learning based inversion model to estimate hourly solar radiation based on geostationary satellite images, and automatic segmentation model to extract building footprint from high-resolution satellite images. The framework enables precise survey of available rooftop resources and detailed simulation of power generation on an hourly basis with a spatial resolution of 100 m. The case study in jiangsu Province demonstrates that the framework is applicable for large areas and scalable between precise locations and arbitrary regions across multiple temporal scales. Our estimates show that rooftop resources across the province have a potential installed capacity of 245.17 GW, corresponding to an annual power generation of 290.66 TWh. This highlights the huge space for carbon emissions reduction through developing rooftop PVs.

关键词： Rooftop photovoltaics Building footprints Remote sensing Deep learning Solar energy

Nitrogen management improves lodging resistance and production in maize(Zea mays L.)at a high plant density

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Journal of Integrative Agriculture 2023年第2期22卷 417-433页

作者： Irshad AHMAD Maksat BATYRBEK Khushnuma IKRAM Shakeel AHMAD Muhammad KAMRAN Misbah Raham Sher KHAN hou Fu-jiang HAN Qing-fang Key Laboratory of Crop Physio-Ecology and Tillage Science in North-Western Loess Plateau Ministry of Agriculture/College of AgronomyNorthwest A&F UniversityYangling 712100P.R.China State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems/Key Laboratory of Grassland Livestock Industry Innovation Ministry of Agriculture and Rural Affairs/Engineering Research Center of Grassland IndustryMinistry of Education/College of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhou 730020P.R.China Department of Biotechnology Abdul Wali Khan University MardanMardan 23200Pakistan

Lodging in maize leads to yield losses *** this study,we determined the effects of traditional and optimized nitrogen management strategies on culm morphological characteristics,culm mechanical strength,lignin content,root growth,lodging percentage and production in maize at a high plant *** compared a traditional nitrogen(N)application rate of 300 kg ha–1(R)and an optimized N application rate of 225 kg ha^(–1)(O)under four N application modes:50%of N applied at sowing and 50%at the 10th-leaf stage(N1);100%of N applied at sowing(N2);40%of N applied at sowing,40%at the 10th-leaf stage and 20%at tasseling stage(N3);and 30%of N applied at sowing,30%at the 10th-leaf stage,20%at the tasseling stage,and 20%at the silking stage(N4).The optimized N rate(225 kg ha^(–1))significantly reduced internode lengths,plant height,ear height,center of gravity height and lodging *** optimized N rate significantly increased internode diameters,filling degrees,culm mechanical strength,root growth and lignin *** application of N in four split doses(N4)significantly improved culm morphological characteristics,culm mechanical strength,lignin content,and root growth,while it reduced internode lengths,plant height,ear height,center of gravity height and lodging *** diameters,filling degrees,culm mechanical strength,lignin content,number and diameter of brace roots,root volume,root dry weight,bleeding safe and grain yield were significantly negatively correlated with plant height,ear height,center of gravity height,internode lengths and lodging *** conclusion,treatment ON4 significantly reduced the lodging percentage by improving the culm morphological characteristics,culm mechanical strength,lignin content,and root growth,so it improved the production of the maize crop at a high plant density.

关键词： high plant density lodging resistance maize nitrogen rates nitrogen application modes

The development and future of steelmaking technology at Baosteel

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Baosteel Technical Research 2008年第3期2卷 14-23页

作者： hou Angui jiang Xiaofang Steelmaking Plant Baosteel Branch Baoshan Iron ＆ Steel Co. Ltd. Shanghai 200941 China

Baosteel＇s steelmaking has developed greatly over the last 30 years in the areas of hot metal pretreatment, converter, electric arc furnace （EAF）, secondary refining, continuous casting, stainless steel and the comprehensive utilization of resources. The development of technologies, such as clean steel production, mhrstahl heraeus （RH） vacuum refining,a breakout prediction system for slab continuous casting and rotary cylinder slag treatment has created a good environment for the development of value-added products and the comprehensive utilization of resources at Baosteel. This paper describes the direction of development of Baosteel＇ s steelmaking in the future.

关键词： steelmaking comprehensive utilization of resources continuous casting secondary refining

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单向碳纤维复合材料直角自由切削力的研究

航空学报 2005年第5期26卷 604-609页

作者：张厚江北京林业大学工学院北京100083

以单向碳纤维复合材料(UCFRP)直角自由切削为研究对象,给出了纤维方向角0°-90°范围内的水平和垂直两方向切削力的理论计算方法。基于切削实验观察,发现在小切削厚度下,刀具刃口半径的作用应当考虑到切削力的计算中去。将切削区分为3... 详细信息

以单向碳纤维复合材料(UCFRP)直角自由切削为研究对象,给出了纤维方向角0°-90°范围内的水平和垂直两方向切削力的理论计算方法。基于切削实验观察,发现在小切削厚度下,刀具刃口半径的作用应当考虑到切削力的计算中去。将切削区分为3个变形区分别计算切削力,总的切削力即为此3个变形区切削力之代数和。计算方法中考虑了刀具前角、刀具刃口半径、切削厚度、材料力学性能等多方面实际因素,发现纤维方向角、刀具前角、切削厚度等因素均对切削力的变化有较明显的影响。经计算值与实验数据对比,发现两者间有较好的一致性。

关键词：单向碳纤维复合材料切削力直角自由切削变形区纤维方向角

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong jiang Jiayang hou Ying Liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

Secondary Structurc in Solution of an Analog of Salmon Calcitonin:[Val^1, Ala^7]sCT

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Chinese Chemical Letters 1999年第7期10卷 555-558页

作者： Bin YANG hou Li jiang Zhen Kai DING Qi Kai ZHANG(Beijing Institute of Pharmacology and Toxicology Beijing 100850National Center of Biomedical Analysis. Beijing 100850) Beijing Inst. Pharmacol. Toxicol. Beijing 100850 China Natl. Center of Biomedical Analysis Beijing 100850 China

Secondary structure of [Val. Ala]sCT- an analog of salmon calcitonin (sCT) not containing an N-terminal disultide bridge. was investigated by circular dichroism (CD) and Fourier-transform intrared spectroscopy (FTIR) methods. Both CD and FTIR results show that the main contbrmational structure of [Val Ala']sCT in aqueous solution is random coil structure. while in trifluorethanol (TFE) it displays a strong α-helical structure. The relationship between the biological activity and the conformational structure of [Val, Ala] sCT is als0 discussed.

关键词： Salmon calcitonin analog CD FTIR peptide secondary structure

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国家教育考试管理模式的立法定位

西南师范大学学报（人文社会科学版） 2005年第4期31卷 77-83页

作者：蒋后强西南政法大学高等教育研究所重庆市400031

公民参考权是公民受教育权的重要组成部分。国家教育考试秩序是公民参考权得以实现的制度保障。国家教育考试管理模式选择是国家教育考试立法的关键。借鉴国外考试管理的经验,《国家教育考试法》应该将我国教育考试管理机构和实施机构... 详细信息

公民参考权是公民受教育权的重要组成部分。国家教育考试秩序是公民参考权得以实现的制度保障。国家教育考试管理模式选择是国家教育考试立法的关键。借鉴国外考试管理的经验,《国家教育考试法》应该将我国教育考试管理机构和实施机构分离。国家教育行政部门只保留国家教育考试的机构审批权和监督管理权,从宏观上规划、调控国家教育考试制度的实施;考试实施机构定位为国家公益性机构,作为纯粹的社会考试机构;高等教育机构按照国家教育考试机构提供的结果招生或颁发证书。形成国家宏观管理、社会积极参与、高等教育机构自主办学的良性互动机制。

关键词：考试管理法律