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Graphdiyne(C_(n)H_(2n-2))as an"electron transfer bridge"boosting photocatalytic hydrogen evolution over Zn_(0.5)Co_(0.5)S/MoS_(2)S-scheme heterojunction

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Rare Metals 2024年第5期43卷 1999-2014页

作者： Mei Li Jing-Zhi Wang Zhi-liang Jin School of Chemistry and Chemical Engineering North Minzu UniversityYinchuan 750021China School of Chemistry and Chemical Engineering Ningxia Key Laboratory of Solar Chemical Conversion TechnologyKey Laboratory for Chemical Engineering and TechnologyState Ethnic Affairs CommissionNorth Minzu UniversityYinchuan 750021China

In the process of photocatalytic water cracking,the migration rate and utilization rate of photogenerated charges determine the hydrogen evolution performance of the *** this paper,a carbon isotope superconducting material graphdiyne(GDY)is prepared by mechanical ball milling and introduced into the S-scheme heterojunction Zn_(0.5)Co_(0.5)S/MoS_(2)inorganic *** terms of hydrogen evolution kinetics,GDY acts as an electron bridge,not only accelerating the migration of photogenerated carriers but also improving the utilization of photogenerated ***,the large twodimensional layer provides more loading and anchoring points for Zn_(0.5)Co_(0.5)S/MoS_(2),which increases the number of active *** ternary composite catalyst 20%GDY/Zn_(0.5)Co_(0.5)S/MoS_(2)(20-GCSM)generates 69.94μmol of hydrogen(5 h)in triethanolamine *** is 2.97 and1.80 times higher than Zn_(0.5)Co_(0.5)S and Zn_(0.5)Co_(0.5)S/MoS_(2),*** the cyclic experiment,it still has stable hydrogen evolution performance after standing for24 h(under dark conditions).In addition,the potential mechanism of photocatalytic hydrogen evolution is demonstrated through in-situ X-ray photoelectron *** work provides a reference for further research in the field of introducing carbon materials into photocatalytic systems and improving the utilization of photogenerated charges.

关键词： Graphdiyne S-scheme heterojunction Electron transfer bridge Hydrogen production

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以学科为核心建设现代化医院

江苏卫生事业管理 2007年第2期18卷 11-14页

作者：赵俊梁宁霞黄峻南京医科大学第一附属医院南京市210029

“十五”以来,我院围绕现代化综合性医院的功能定位,在学科规划布局、发展科学研究和技术创新、引进和培养人才、探索学科管理新机制等方面进行了改革与创新,显著提升了学科层次与水平,医院获得了跨越式发展,实现了建成基本现代化医院... 详细信息

“十五”以来,我院围绕现代化综合性医院的功能定位,在学科规划布局、发展科学研究和技术创新、引进和培养人才、探索学科管理新机制等方面进行了改革与创新,显著提升了学科层次与水平,医院获得了跨越式发展,实现了建成基本现代化医院的目标。

关键词：学科建设现代化医院发展

Attractive egg color?Red eggs facilitate egg acceptance in a cavity-nesting host

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Current Zoology 2024年第1期70卷 112-114页

作者： Jianping Liu Xingyu Wang Wei liang College of Biological Sciences and Engineering North Minzu UniversityYinchuan 750021China Ministry of Education Key Laboratory for Ecology of Tropical Islands Key Laboratory of Tropical Animal and Plant Ecology of Hainan ProvinceCollege of Life SciencesHainan Normal UniversityHaikou 571158China

Hosts evolve defensive strategies to minimize the reproductive costs of brood parasitism,in turn,the hosts'defense promote the optimization of cuckoo parasitism strategies(Soler 2017).Recognizing foreign eggs and selectively removing them from the nest can minimize the fitness costs associated with rearing parasitic fledglings(Soler 2017).Since Rothstein(1971)first experimented with the addition of a model egg to a host nest in the early incubation period to study host egg recognition,the use of model eggs has become one of the most important methods for testing the egg recognition abilities of hosts(Hauber et al.2019).Some studies have looked at various egg colors and their effect on host egg rejection and found differential responses to egg colors(for more details,see Supplementary Materials),highlighting that more work needs to examine the effect of model egg color on host egg rejection behavior.

关键词： coevolution egg recognition egg mimcry model egg Parus monticolus

Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning

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Journal of Energy Chemistry 2024年第4期91卷 512-521页

作者： liang Ma Jinpeng Tian Tieling Zhang Qinghua Guo Chunsheng Hu School of Mechanical MaterialsMechatronic and Biomedical EngineeringUniversity of WollongongWollongongNSW 2522Australia Department of Electrical and Electronic Engineering and Research Centre for Grid Modernization The Hong Kong Polytechnic UniversityKowloonHong Kong 999077China School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongNSW 2522Australia School of Advanced Interdisciplinary Studies Ningxia UniversityYinchuan 750000NingxiaChina

The safe and reliable operation of lithium-ion batteries necessitates the accurate prediction of remaining useful life(RUL).However,this task is challenging due to the diverse ageing mechanisms,various operating conditions,and limited measured *** data-driven methods are perceived as a promising solution,they ignore intrinsic battery physics,leading to compromised accuracy,low efficiency,and low *** response,this study integrates domain knowledge into deep learning to enhance the RUL prediction *** demonstrate accurate RUL prediction using only a single charging ***,a generalisable physics-based model is developed to extract ageing-correlated parameters that can describe and explain battery degradation from battery charging *** parameters inform a deep neural network(DNN)to predict RUL with high accuracy and *** trained model is validated under 3 types of batteries working under 7 conditions,considering fully charged and partially charged *** data from one cycle only,the proposed method achieves a root mean squared error(RMSE)of 11.42 cycles and a mean absolute relative error(MARE)of 3.19%on average,which are over45%and 44%lower compared to the two state-of-the-art data-driven methods,*** its accuracy,the proposed method also outperforms existing methods in terms of efficiency,input burden,and *** inherent relationship between the model parameters and the battery degradation mechanism is further revealed,substantiating the intrinsic superiority of the proposed method.

关键词： Lithium-ion batteries Remaining useful life Physics-informed machine learning

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基于利益相关者理论的公立医院信托融资分析

中国医院 2014年第4期18卷 39-40页

作者：李志光梁宁霞赵俊王虹南京医科大学第一附属医院

运用利益相关者理论分析了在公立医院信托融资中各利益相关者的利益、所拥有的资源,评价了其动用资源的能力以及可能对筹资过程的影响,探究了信托融资过程中各方的动力、阻力以及相互作用机制、利益调整机制,并提出相应建议对策。

关键词：利益相关者医院融资信托融资

Total process of fault diagnosis for wind turbine gearbox,from the perspective of combination with feature extraction and machine learning:A review

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Energy and AI 2024年第1期15卷 356-373页

作者： Xinhua Xu Xinyu Huang Haibin Bian Jiani Wu Chen liang Feiyun Cong Huadian(ningxia)Energy Co.Ltd.New Energy Branch No.55Xihu StreetNingchuan 750016China State Key Laboratory of Fluid Power&Mechatronic System Zhejiang UniversityZhejiangHangzhou 310027China Huadian Zhengzhou Machinery Design&Research Institute Co.Ltd. No.28Huxinhuandao RdZhengzhou 450046China

With the increasing of the installed capacity of wind power,the condition monitoring and maintains technique is becoming more *** Turbines(WT)gearbox is one of the key wind power components as it plays the role of power transmission and speed *** this,a number of scholars have pay attention to the fault diagnosis of WT *** efficiency of Machine Learning(ML)algorithms is highly correlated with signal type,data quality,and extracted features *** implementation of ML techniques has proven to be advantageous in simplifying the comprehension prerequisites for fault diagnosis technology concerning fault *** and more current studies predominantly concentrate on the utilization and fine-tuning of ML algorithms,while providing limited insights into the features of the acquired ***,it is necessary to review the research in recent years from the perspective of the combination of feature extraction and ML algorithms,and provide a detailed direction for future WT gearbox fault diagnosis technology *** this paper,data processing algorithms and typical fault diagnosis methods based on ML methods for WT gearbox are *** the using of ML method in WT gearbox fault diagnosis,the data prepared for training is very *** paper firstly reviewed the data analysing method which will support the ML *** data analysing methods include data acquisition,data preprocessing and feature extraction *** extraction plays a pivotal role in the realm of gearbox fault diagnosis,as it serves as the essence of effective *** review will primarily focus on exploring methods that enable the utilization of efficient features in combination with ML techniques to achieve accurate gearbox fault *** typical ML method for WT gearbox fault diagnosis are carefully ***,some prospects for future research directions are discussed in the end.

关键词： Wind turbine gearbox Machine learning Fault diagnosis Artificial neural network

Energy spectrum computed tomography multi-parameter imaging in preoperative assessment of vascular and neuroinvasive status in gastric cancer

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World Journal of Gastrointestinal Surgery 2024年第8期16卷 2511-2520页

作者： Jing Wang Jian-Cheng liang Fa-Te Lin Jun Ma Department of Radiology Pingluo County People's HospitalShizuishan 753400Ningxia Hui Autonomous RegionChina Department of Gastrointestinal Surgery Jiangsu Provincial People's HospitalNanjing 210029Jiangsu ProvinceChina

BACKGROUND Vascular and nerve infiltration are important indicators for the progression and prognosis of gastric cancer(GC),but traditional imaging methods have some limitations in preoperative *** recent years,energy spectrum computed tomography(CT)multiparameter imaging technology has been gradually applied in clinical practice because of its advantages in tissue contrast and lesion detail *** To explore and analyze the value of multiparameter energy spectrum CT imaging in the preoperative assessment of vascular invasion(LVI)and nerve invasion(PNI)in GC *** Data from 62 patients with GC confirmed by pathology and accompanied by energy spectrum CT scanning at our hospital between September 2022 and September 2023,including 46 males and 16 females aged 36-71(57.5±9.1)years,were retrospectively *** patients were divided into a positive group(42 patients)and a negative group(20 patients)according to the presence of LVI/*** CT values(CT40 keV,CT70 keV),iodine concentration(IC),and normalized IC(NIC)of lesions in the upper energy spectrum CT images of the arterial phase,venous phase,and delayed phase 40 and 70 keV were measured,and the slopes of the energy spectrum curves[K(40-70)]from 40 to 70 keV were *** Core Tip:To investigate the application value of multiparameter energy spectrum computed tomography(CT)imaging in the preoperative assessment of vascular and nerve infiltration in patients with gastric cancer(GC).The imaging data of GC patients were retrospectively analyzed to evaluate the accuracy and sensitivity of CT for identifying and quantifying vascular and nerve infiltration and for comparison with postoperative pathological *** purpose of this study was to verify the clinical feasibility and potential advantages of multiparameter energy spectrum CT imaging in guiding preoperative diagnosis and treatment decision-making and to provide a new imaging basis for improving the diagnostic accuracy

关键词： Tomography X-ray computer Energy spectrum computed tomography Gastric cancer Vascular invasion Nerve invasion Cross-sectional study