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Dispersed Wind Power Planning Method Considering Network Loss Correction with Cold Weather

Energy Engineering 2024年第4期121卷 1027-1048页

作者： Hanpeng Kou Tianlong Bu Leer mao Yihong Jiao Chunming Liu Hulunbeier Power Supply Company State Grid Inner Mongolia East Power Co.Ltd.Hulunbeier021100China College of Electrical and Electronic Engineering North China Electric Power UniversityBeijing102206China

In order to play a positive role of decentralised wind power on-grid for voltage stability improvement and loss reduction of distribution network,a multi-objective two-stage decentralised wind power planning method is proposed in the paper,which takes into account the network loss correction for the extreme cold ***,an electro-thermal model is introduced to reflect the effect of temperature on conductor resistance and to correct the results of active network loss calculation;secondly,a two-stage multi-objective two-stage decentralised wind power siting and capacity allocation and reactive voltage optimisation control model is constructed to take account of the network loss correction,and the multi-objective multi-planning model is established in the first stage to consider the whole-life cycle investment cost of WTGs,the system operating cost and the voltage quality of power supply,and the multi-objective planning model is established in the second *** model,and the second stage further develops the reactive voltage control strategy of WTGs on this basis,and obtains the distribution network loss reduction method based on WTG siting and capacity allocation and reactive power control ***,the optimal configuration scheme is solved by the manta ray foraging optimisation(MRFO)algorithm,and the loss of each branch line and bus loss of the distribution network before and after the adoption of this loss reduction method is calculated by taking the IEEE33 distribution system as an example,which verifies the practicability and validity of the proposed method,and provides a reference introduction for decision-making for the distributed energy planning of the distribution network.

关键词： Decentralised wind power network loss correction siting and capacity determination reactive voltage control two-stage model manta ray foraging optimisation algorithm

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Enhanced plasticity of spontaneous coagulation cast oxide ceramic green bodies

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Journal of Advanced Ceramics 2024年第5期13卷 568-578页

作者： Juanjuan Wang Jin Zhao Junyan mao Wenlong Liu Haohao Ji Jian Zhang Shiwei Wang State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 200050China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

In the preparation of large-sized ceramics,the use of a green body with relatively high plasticity is crucial to minimize the risk of cracking during *** achieve this goal,glycerol and polyethylene glycol(PEG)were utilized as plasticizers in the shaping of green bodies of oxide ceramics through spontaneous coagulation casting(SCC).This study investigated the effects of plasticizers and particle sizes ranging from the submicron to nanoscale on the slurry viscosity,drying shrinkage of wet gels,and mechanical properties of green *** plasticity of the green bodies was assessed by measuring the impact toughness and flexural stress‒strain *** incorporating an appropriate plasticizer,the peak width of the flexural stress‒strain curve for dried green bodies from particles of different sizes was nearly twice that without plasticizers,and the impact toughness was enhanced by approximately 71%,34%,and 41%when the particle size decreased from the submicron scale to the nanoscale(0.45μm,0.18μm,and 50 nm,respectively).The drilling test revealed that there was nearly no cracking around the holes in the green bodies with *** plasticity mechanism of the green bodies was examined based on ultraviolet–visible(UV–Vis)spectroscopy and scanning electron microscopy(SEM).It was discovered that plasticizers might mitigate the brittleness of green bodies by adjusting the interactions between molecules and modifying the gel network properly.

关键词： green body plasticity plasticizer particle size impact toughness stress-strain curve

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Improving Federated Learning through Abnormal Client Detection and Incentive

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 383-403页

作者： Hongle Guo Yingchi mao Xiaoming He Benteng Zhang Tianfu Pang Ping Ping College of Computer and Information Hohai UniversityNanjing211100China Key Laboratory ofWater Big Data Technology of Ministry ofWater Resources Hohai UniversityNanjing211100China

Data sharing and privacy protection are made possible by federated learning,which allows for continuous model parameter sharing between several clients and a central *** reliable and high-quality clients must participate in practical applications for the federated learning global model to be accurate,but because the clients are independent,the central server cannot fully control their *** central server has no way of knowing the correctness of the model parameters provided by each client in this round,so clients may purposefully or unwittingly submit anomalous data,leading to abnormal behavior,such as becoming malicious attackers or defective *** reduce their negative consequences,it is crucial to quickly detect these abnormalities and incentivize *** this paper,we propose a Federated Learning framework for Detecting and Incentivizing Abnormal Clients(FL-DIAC)to accomplish efficient and security federated *** build a detector that introduces an auto-encoder for anomaly detection and use it to perform anomaly identification and prevent the involvement of abnormal clients,in particular for the anomaly client detection *** them,before the model parameters are input to the detector,we propose a Fourier transform-based anomaly data detectionmethod for dimensionality reduction in order to reduce the computational ***,we create a credit scorebased incentive structure to encourage clients to participate in training in order tomake clients actively *** training models(CNN,MLP,and ResNet-18)and three datasets(MNIST,Fashion MNIST,and CIFAR-10)have been used in *** to theoretical analysis and experimental findings,the FL-DIAC is superior to other federated learning schemes of the same type in terms of effectiveness.

关键词： Federated learning abnormal clients incentive credit score abnormal score detection

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Psychological intervention based on social cognitive theory: Treating pain, anxiety, and depression in perioperative patients

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World Journal of Psychiatry 2024年第8期14卷 1199-1207页

作者： Hai-Jian mao Lin-Fei Wang Chun Lin Department of Surgical Anesthesiology The First People’s Hospital of Lin’an DistrictHangzhouHangzhou 311300Zhejiang ProvinceChina Department of Gastrointestinal Surgery Hangzhou First People’s HospitalHangzhou 310006Zhejiang ProvinceChina Department of Comprehensive Intervention The First People’s Hospital of Lin’an DistrictHangzhouHangzhou 311300Zhejiang ProvinceChina

BACKGROUND Surgery is an effective method for treating certain *** such as disease,preoperative fear and tension,surgical stress,postoperative pain,and related complications directly affect the smooth progression and outcome of *** may experience a series of psychological and physiological changes during the perioperative period,resulting in anxiety and depression,which may reduce the pain threshold and worsen their *** We enrolled 200 patients who underwent surgical care at The First People’s Hospital of Lin’an District,Hangzhou between January and December *** were categorized into a routine intervention group(n=103)and a psychological intervention group(n=97),based on the intervention strategies *** assessment tools,including the self-rating anxiety scale(SAS),the self-rating depression scale(SDS),and the Connor–Davidson Resilience scale,were used to measure patients’negative states and *** pre-and post-intervention scores for these metrics in the two groups were then *** In the psychological intervention group,the SAS and SDS scores(31.56±5.18 and 31.46±4.57,respectively)were significantly reduced compared to the routine intervention group(P<0.05).The visual analog scale pain scores at 12 and 24 hours after intervention(6.85±1.21,4.24±0.72)were notably higher than those in the routine intervention group(P<0.05).The psychological intervention group also demonstrated superior scores in perseverance(36.08±3.29),self-reliance(22.63±2.91),optimism(11.42±1.98),and resilience(70.13±5.37),compared to the routine intervention group(P<0.05).Additionally,the psychological intervention group’s confrontation score(23.16±4.29)was higher(P<0.05).This group also reported lower scores in avoidance(9.28±1.94)and yielding(6.19±1.92)(P<0.05).Lastly,the Short Form 36 Health Survey scores were significantly higher in the psychological intervention group,indicating a better quality of life(P<0.05).CONCLUSION

关键词： Perioperative period Social cognitive theory Psychological intervention Pain Anxiety and depression

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Li_(2)ZnTi_(3)O_(8)as the host–separator modifier with efficient polysulfides trapping and fast Li^(+)diffusion for lithium-sulfur batteries

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Nano Research 2024年第7期17卷 6087-6094页

作者： mao Qian Yakun Tang Lang Liu Yue Zhang Xiaohui Li JiaJia Chen State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources Xinjiang UniversityUrumqi 830017China State Key Laboratory of Physical Chemistry of Solid Surfaces Xiamen UniversityXiamen 361005China

The diffusion and loss of lithium polysulfides(LiPSs)in lithium-sulfur batteries(LSBs)reduce the sulfur utilization rate and the catalytic conversion efficiency of sulfur species,resulting in early battery ***_(2)ZnTi_(3)O_(8)(LZTO),characterized by its stable spinel structure,exhibits high Li+conductivity and holds great potential as an effective adsorbent for *** study proposes a collaborative design concept of LZTO host–separator modifier,which offers a complementary and matching approach in the cathode side,effectively addressing the challenges associated with dissolution and inadequate conversion of *** functional theory(DFT)calculation substantiates the pronounced chemical affinity of LZTO towards *** importantly,the high efficiency ion transport channels are achieved in separator coating due to the presence of the LZTO ***,the catalytic efficacy of LZTO is validated through meticulous analysis of symmetric batteries and Tafel ***,the LZTO host–separator modifier-based cell displays satisfactory rate capability(1449 and 1166 mAh·g^(−1)at 0.1 and 0.5 C)and an impressively capacity(606 mAh·g^(−1)after 500 cycles at 1 C).The coordinated strategy of host–separator modifier is supposed to have wide applications in LSBs.

关键词： Li_(2)ZnTi_(3)O_(8) lithium-sulfur batteries host-separator modifier catalytic conversion diffusion and loss of LiPSs

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Software Defect Prediction Method Based on Stable Learning

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Computers, Materials & Continua 2024年第1期78卷 65-84页

作者： Xin Fan Jingen mao Liangjue Lian Li Yu Wei Zheng Yun Ge College of Aerospace Engineering Nanjing University of Aeronautics and AstronauticsNanjing210012China School of Software Nanchang Hangkong UniversityNanchang330029China Software Testing and Evaluation Center Nanchang Hangkong UniversityNanchang330029China

The purpose of software defect prediction is to identify defect-prone code modules to assist software quality assurance teams with the appropriate allocation of resources and *** previous software defect prediction studies,transfer learning was effective in solving the problem of inconsistent project data ***,target projects often lack sufficient data,which affects the performance of the transfer learning *** addition,the presence of uncorrelated features between projects can decrease the prediction accuracy of the transfer learning *** address these problems,this article propose a software defect prediction method based on stable learning(SDP-SL)that combines code visualization techniques and residual *** method first transforms code files into code images using code visualization techniques and then constructs a defect prediction model based on these code *** the model training process,target project data are not required as prior *** the principles of stable learning,this paper dynamically adjusted the weights of source project samples to eliminate dependencies between features,thereby capturing the“invariance mechanism”within the *** approach explores the genuine relationship between code defect features and labels,thereby enhancing defect prediction *** evaluate the performance of SDP-SL,this article conducted comparative experiments on 10 open-source projects in the PROMISE *** experimental results demonstrated that in terms of the F-measure,the proposed SDP-SL method outperformed other within-project defect prediction methods by 2.11%-44.03%.In cross-project defect prediction,the SDP-SL method provided an improvement of 5.89%-25.46% in prediction performance compared to other cross-project defect prediction ***,SDP-SL can effectively enhance within-and cross-project defect predictions.

关键词： Software defect prediction code visualization stable learning sample reweight residual network

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A Data-Oriented Method to Optimize Hydraulic Fracturing Parameters of Tight Sandstone Reservoirs

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Energy Engineering 2024年第6期121卷 1657-1669页

作者： Zhengrong Chen mao Jiang Chuanzhi Ai Jianshu Wu Xin Xie CNOOC Research Institute Co. Ltd.Beijing100028China

Based on the actual data collected from the tight sandstone development zone, correlation analysis using theSpearman method was conducted to determine the main factors influencing the gas production rate of tightsandstone fracturing. An integrated model combining geological engineering and numerical simulation of fracturepropagation and production was completed. Based on data analysis, the hydraulic fracture parameters wereoptimized to develop a differentiated fracturing treatment adjustment plan. The results indicate that the influenceof geological and engineering factors in the X1 and X2 development zones in the study area differs ***, it is challenging to adopt a uniform development strategy to achieve rapid production increase. Thedata analysis reveals that the variation in gas production rate is primarily affected by the reservoir thickness andpermeability parameters as geological factors. On the other hand, the amount of treatment fluid and proppantaddition significantly impact the gas production rate as engineering factors. Among these factors, the influence ofgeological factors is more pronounced in block X1. Therefore, the main focus should be on further optimizing thefracturing interval and adjusting the geological development well location. Given the existing well location, thereis limited potential for further optimizing fracture parameters to increase production. For block X2, the fracturingparameters should be optimized. Data screening was conducted to identify outliers in the entire dataset, and adata-driven fracturing parameter optimization method was employed to determine the basic adjustment directionfor reservoir stimulation in the target block. This approach provides insights into the influence of geological,stimulation, and completion parameters on gas production rate. Consequently, the subsequent fracturing parameteroptimization design can significantly reduce the modeling and simulation workload and guide field operations t

关键词： Data mechanism driven fracturing parameters gas production correlation tight sandstone gas

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Enhancing safety and efficiency in automated container terminals: Route planning for hazardous material AGV using LSTM neural network and Deep Q-Network

Journal of Intelligent and Connected Vehicles

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Journal of Intelligent and Connected Vehicles 2024年第1期7卷 64-77页

作者： Fei Li Junchi Cheng Zhiqi mao Yuhao Wang Pingfa Feng Department of Mechanical Engineering Tsinghua UniversityBeijing 100084China Information Science and Technology College Dalian Maritime UniversityDalian 116000China School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China

As the proliferation and development of automated container terminal continue,the issues of efficiency and safety become increasingly *** container yard is one of the most crucial cargo distribution centers in a *** Guided Vehicles(AGVs)that carry materials of varying hazard levels through these yards without compromising on the safe transportation of hazardous materials,while also maximizing efficiency,is a complex *** research introduces an algorithm that integrates Long Short-Term Memory(LSTM)neural network with reinforcement learning techniques,specifically Deep Q-Network(DQN),for routing an AGV carrying hazardous materials within a container *** objective is to ensure that the AGV carrying hazardous materials efficiently reaches its destination while effectively avoiding AGVs carrying non-hazardous *** real data from the Meishan Port in Ningbo,Zhejiang,China,the actual yard is first abstracted into an undirected *** LSTM neural network can efficiently conveys and represents information in long time sequences and do not causes useful information before long time to be ignored,a two-layer LSTM neural network with 64 neurons per layer was constructed for predicting the motion trajectory of AGVs carrying non-hazardous materials,which are incorporated into the map as background ***,DQN is employed to plan the route for an AGV transporting hazardous materials,aiming to reach its destination swiftly while avoiding encounters with other *** tests have shown that the route planning algorithm proposed in this study improves the level of avoidance of hazardous material AGV in relation to non-hazardous material *** to the method where hazardous material AGV follow the shortest path to their destination,the avoidance efficiency was enhanced by 3.11%.This improvement demonstrates potential strategies for balancing efficiency and safety in automated ***,

关键词： container yard route planning hazardous material Automated Guided Vehicle(AGV) Long Short-Term

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Current research status of transarterial therapies for hepatocellular carcinoma

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World Journal of Gastrointestinal Oncology 2024年第9期16卷 3752-3760页

作者： mao-Ting Zhou Peng Zhang Qi mao Xiao-Qin Wei Lin Yang Xiao-Ming Zhang Department of Radiology Interventional Medical CenterScience and Technology Innovation CenterThe Affiliated Hospital of North Sichuan Medical CollegeNanchong 637000Sichuan ProvinceChina School of Medical Imaging North Sichuan Medical CollegeNanchong 637000Sichuan ProvinceChina

With continuous advancements in interventional radiology,considerable progress has been made in transarterial therapies for hepatocellular carcinoma(HCC)in recent years,and an increasing number of research papers on transarterial therapies for HCC have been *** this editorial,we comment on the article by Ma et al published in the recent issue of the World Journal of Gastrointestinal Oncology:“Efficacy and predictive factors of transarterial chemoembolization combined with lenvatinib plus programmed cell death protein-1 inhibition for unresectable HCC”.We focus specifically on the current research status and future directions of transarterial *** the future,more studies are needed to determine the optimal transarterial local treatment for *** the emergence of checkpoint immunotherapy modalities,it is expected that the results of trials of transarterial local therapy combined with systemic therapy will bring new hope to HCC patients.

关键词： Hepatocellular carcinoma Transarterial therapies Transarterial chemoembolization Hepatic artery infusion chemotherapy Transarterial embolization Transarterial radioembolization

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New mechanistic insights into phosphate-starvation-regulated plant architecture change and nutrient uptake

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Molecular Plant 2024年第1期17卷 19-21页

作者： Hong Lu Rongbin Lin Meiju Deng Kangming Jin Chuanzao mao State Key Laboratory of Plant Environmental Resilience College of Life SciencesZhejiang UniversityHangzhou 310058China Hainan Institute of Zhejiang University Yazhou Bay Science and Technology CityYazhou DistrictSanyaHainan 572025China

Phosphorus(P)is an indispensable macro-nutrient for plant growth that is absorbed by plants in the form of inorganic phosphate(Pi).Pi deficiency is a major challenge limiting crop productivity *** combat Pi scarcity and maintain Pi homeostasis,plants have evolved different strategies for efficient Pi acquisition(Paz-Ares et al.,2022).Plants reduce overall growth and enhance the root system to optimize nutrients foraging in Pi-limited ***(SLs).

关键词： plant maintain inorganic

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