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Global Energy Interconnection 2024年第1期7卷 94-105页

作者： Pengtian Guo kai xiao xiaohui Wang Daoxing Li China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

The power Internet of Things(IoT)is a significant trend in technology and a requirement for national strategic development.With the deepening digital transformation of the power grid,China’s power system has initially built a power IoT architecture comprising a perception,network,and platform application layer.However,owing to the structural complexity of the power system,the construction of the power IoT continues to face problems such as complex access management of massive heterogeneous equipment,diverse IoT protocol access methods,high concurrency of network communications,and weak data security protection.To address these issues,this study optimizes the existing architecture of the power IoT and designs an integrated management framework for the access of multi-source heterogeneous data in the power IoT,comprising cloud,pipe,edge,and terminal parts.It further reviews and analyzes the key technologies involved in the power IoT,such as the unified management of the physical model,high concurrent access,multi-protocol access,multi-source heterogeneous data storage management,and data security control,to provide a more flexible,efficient,secure,and easy-to-use solution for multi-source heterogeneous data access in the power IoT.

关键词： Power Internet of Things Object model High concurrency access Zero trust mechanism Multi-source heterogeneous data

Impact of transcranial electrical stimulation on serum neurotrophic factors and language function in patients with speech disorders

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World Journal of Clinical Cases 2024年第10期12卷 1742-1749页

作者： Li Sun kai xiao xiao-Yan Shen Shu Wang Department of Rehabilitation Medicine General Hospital of the Yangtze River ShippingWuhan 430010Hubei ProvinceChina

BACKGROUND Speech disorders have a substantial impact on communication abilities and quality of life.Traditional treatments such as speech and psychological therapies frequently demonstrate limited effectiveness and patient compliance.Transcranial electrical stimulation(TES)has emerged as a promising non-invasive treatment to improve neurological functions.However,its effectiveness in enhancing language functions and serum neurofactor levels in individuals with speech disorders requires further investigation.AIM To investigate the impact of TES in conjunction with standard therapies on serum neurotrophic factor levels and language function in patients with speech disorders.METHODS In a controlled study spanning from March 2019 to November 2021,81 patients with speech disorders were divided into a control group(n=40)receiving standard speech stimulation and psychological intervention,and an observation group(n=41)receiving additional TES.The study assessed serum levels of ciliary neurotrophic factor(CNTF),glial cell-derived neurotrophic factor(GDNF),brainderived neurotrophic factor(BDNF),and nerve growth factor(NGF),as well as evaluations of motor function,language function,and development quotient scores.RESULTS After 3 wk of intervention,the observation group exhibited significantly higher serum levels of CNTF,GDNF,BDNF,and NGF compared to the control group.Moreover,improvements were noted in motor function,cognitive function,language skills,physical abilities,and overall development quotient scores.It is worth mentioning that the observation group also displayed superior perfor CONCLUSION This retrospective study concluded that TES combined with traditional speech and psychotherapy can effectively increase the levels of neurokines in the blood and enhance language function in patients with speech disorders.These results provide a promising avenue for integrating TES into standard treatment methods for speech disorders.

关键词： Transcranial electrical stimulation Serum neurofactor levels Developmental level Language features

Full-domain collaborative deployment method of multiple interference sources and evaluation of its deployment effect

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Defence Technology（防务技术） 2024年第2期32卷 572-595页

作者： Yue Wang Fuping Sun Xian Wang Jinming Hao kai xiao School of Geospatial Information The PLA Information Engineering UniversityZhengzhou 450001HenanChina

This paper realizes the full-domain collaborative deployment of multiple interference sources of the global satellite navigation system(GNSS)and evaluates the deployment effect to enhance the ability to disturb the attacker and the capability to defend the GNSS during navigation countermeasures.Key evaluation indicators for the jamming effect of GNSS suppressive and deceptive jamming sources are first created,their evaluation models are built,and their detection procedures are sorted out,as the basis for determining the deployment principles.The principles for collaboratively deploying multi-jamming sources are developed to obtain the deployment structures(including the required number,structures in demand,and corresponding positions)of three single interference sources required by collaboratively deploying.Accordingly,simulation and hardware-in-loop testing results are presented to determine a rational configuration of the collaborative deployment of multi-jamming sources in the set situation and further realize the full-domain deployment of an interference network from ground,air to space.Varied evaluation indices for the deployment effect are finally developed to evaluate the deployment effect of the proposed configuration and further verify its reliability and rationality.

关键词： Jamming effect Multiple interference sources Collaborative deployment Effect evaluation Defense capability

Wheat kinase TaSnRK2.4 forms a functional module with phosphatase TaPP2C01 and transcription factor TaABF2 to regulate drought response

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The Crop Journal 2024年第2期12卷 384-400页

作者： Yanyang Zhang xiaoyang Hou Tianjiao Li Ziyi Wang Jiaqi Zhang Chunlin Zhang Xianchang Liu Xinxin Shi Wanrong Duan kai xiao State Key Laboratory of North China Crop Improvement and Regulation Baoding 071001HebeiChina College of Agronomy Hebei Agricultural UniversityBaoding 071001HebeiChina

SNF1-related protein kinase 2(SnRK2)family members are essential components of the plant abscisic acid(ABA)signaling pathway initiated by osmotic stress and triggering a drought stress response.This study characterized the molecular properties of TaSnRK2.4 and its function in mediating adaptation to drought in Triticum aestivum.Transcripts of TaSnRK2.4 were upregulated upon drought and ABA signaling and associated with drought-and ABA-responsive cis-elements ABRE and DRE,and MYB and MYC binding sites in the promoter as indicated by reporter GUS protein staining and activity driven by truncations of the promoter.Yeast two-hybrid,BiFC,and Co-IP assays indicated that TaSnRK2.4 protein interacts with TaPP2C01 and an ABF transcription factor(TF)TaABF2.The results suggested that TaSnRK2.4 forms a functional TaPP2C01-TaSnRK2.4-TaABF2 module with its upstream and downstream partners.Transgene analysis revealed that TaSnRK2.4 and TaABF2 positively regulate drought tolerance whereas TaPP2C01 acts negatively by modulating stomatal movement,osmotic adjustment,reactive oxygen species(ROS)homeostasis,and root morphology.Expression analysis,yeast one-hybrid,and transcriptional activation assays indicated that several osmotic stress-responsive genes,including TaSLAC1-4,TaP5CS3,TaSOD5,TaCAT1,and TaPIN4,are regulated by TaABF2.Transgene analysis verified their functions in positively regulating stomatal movement(TaSLAC1-4),proline accumulation(TaP5CS3),SOD activity(TaSOD5),CAT activity(TaCAT1),and root morphology(TaPIN4).There were high correlations between plant biomass and yield with module transcripts in a wheat variety panel cultivated under drought conditions in the field.Our findings provide insights into understanding plant drought response underlying the SnRK2 signaling pathway in common wheat.

关键词： Triticum aestivum SnRK2.4 kinase Gene expression Protein interaction Transgene analysis Transcriptional activation

Scalable production of mesoporous titanium nanoparticles through sequential flash nanocomplexation

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Chinese Chemical Letters 2024年第4期35卷 303-309页

作者： Feng Cui Fangman Chen xiaochun Xie Chenyang Guo kai xiao Ziping Wu Yinglu Chen Junna Lu Feixia Ruanb Chuanxu Cheng Chao Yang Dan Shao School of Biomedical Sciences and Engineering South China University of TechnologyGuangzhou International CampusGuangzhou 511442China Institutes for Life Sciences School of MedicineSouth China University of TechnologyGuangzhou 510006China School of Biology and Biological Engineering South China University of TechnologyGuangzhou 510006China Department of Orthopedics Academy of Orthopedics-Guangdong ProvinceOrthopedic Hospital of Guangdong ProvinceGuangdong Provincial Key Laboratory of Bone and Joint Degenerative DiseasesThe Third Affiliated Hospital of Southern Medical UniversityGuangzhou 510665China National Engineering Research Center for Tissue Restoration and Reconstruction South China University of TechnologyGuangzhou 510006China

Mesoporous titanium nanoparticles(MTNs) have emerged as an important porous semiconductor owning to their large surface area and unique electronic/optical properties. However, the fundamental research for rational manufacturing MTNs in a highly scalable manner remains a challenge. In this study, we report a two-step flash nanocomplexation(FNC) approach to large-scalable generate MTNs through the sequential combination of two multi-inlet vortex mixers. By optimizing the concentrated titanium precursor,polyethylene glycol(PEG)-functionalized silane amount and p H, we have been able to produce MTNs with small particle size(31.5 nm), larger surface area(416.9 m^(2)/g) and pore volume(0.59 cm^(3)/g). Different from the traditional MTNs bulk, FNC-produced MTNs exhibited well-controlled manner and exceptional photocatalytic and antibacterial properties. Importantly, the optimized MTNs outperformed commercial P25 not only in protecting ultraviolet A(UVA)-exposed skin, but also in treating P. aeruginosa-infected wound. We believe that the high controllability and scalability of sequential flash nanocomplexation method offers great opportunities in enhancing the performance of mesoporous titanium nanoparticles.

关键词： Mesoporous titanium nanoparticles Flash nanocomplexation Photocatalytic Antibacterial Sequential

Serum 25-Hydroxyvitamin D Level Might Be a Useful Indicator of Disease Severity in Obese Children With Atopic Dermatitis: A Case-Control Study

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International Journal of Dermatology And Venereology 2024年第1期07卷 6-11页

作者： Chen Jing-Jing Fang xiao-kai Liu Xiu-Mei Liu xiao-Chun Yao Xu Department of Allergy and Rheumatology Hospital for Skin Diseases (Institute of Dermatology) Chinese Academy of Medical Sciences and Peking Union Medical College Nanjing Jiangsu 210042 China

Objective: To assess the relationship between the severity of atopic dermatitis (AD) in children of varying weight categories and their serum 25-hydroxyvitamin D [25(OH)D] levels.Methods: The study population comprised 899 patients with AD and 854 age- and sex-matched controls. The Mann-WhitneyU test and Kruskal-WallisH tests were used to assess differences between groups, and Spearman correlation analysis was used to test correlation.Results: The 25(OH)D level in the AD group wasM (Q25,Q75), 24.0 (19.7, 28.4) ng/mL, which was significantly lower than the control group (26.4 [23.6, 29.9] ng/mL;Z = -3.34,P = 0.001). 25(OH)D levels in children with AD were negatively correlated with body mass index (r = -0.30,P < 0.001), Severity scoring of Atopic Dermatitis (SCORAD;r = -0.14,P < 0.001), total immunoglobulin E (r = -0.13,P < 0.001), and eosinophil (r = -0.08,P = 0.017). There were statistically significant differences in 25(OH)D (H = 18.46,P < 0.001), total immunoglobulin E (H = 9.13,P = 0.010), eosinophil (H = 67.17,P < 0.001), and SCORAD (H = 10.49,P = 0.005) among groups with different body mass index classification. The 25(OH)D levels were 22.3 (17.5, 27.1) ng/mL in the overweight AD group and 22.3 (17.6, 25.7) ng/mL in the obese AD group, which were significantly lower than those in the normal-weight AD group (24.7 [20.4, 25.5] ng/mL;P = 0.003,P = 0.004). 25(OH)D levels were negatively correlated with SCORAD in obese AD patients (r = -0.25,P = 0.010).Conclusion: Vitamin D insufficient or deficient is obvious in children AD patients. The 25(OH)D levels in the overweight/obese AD group are significantly lower than those in the normal-weight AD group. Vitamin D level is negatively correlated with SCORAD in obese children with AD.

关键词： atopic dermatitis vitamin D disease severity index immunoglobulin E body mass index eosinophil children overweight/obese

Insider Trading with a Random Deadline under Partial Observations:Maximal Principle Method

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Acta Mathematicae Applicatae Sinica 2022年第4期38卷 753-762页

作者： kai xiao Yong-hui ZHOU School of Mathematical Sciences Guizhou Normal UniversityGuiyang 550001China School of Big Data and Computer Science Guizhou Normal UniversityGuiyang 550001China

For a revised model of Caldentey and Stacchetti(Econometrica,2010)in continuous-time insider trading with a random deadline which allows market makers to observe some information on a risky asset,a closed form of its market equilibrium consisting of optimal insider trading intensity and market liquidity is obtained by maximum principle method.It shows that in the equilibrium,(i)as time goes by,the optimal insider trading intensity is exponentially increasing even up to infinity while both the market liquidity and the residual information are exponentially decreasing even down to zero;(ii)the more accurate information observed by market makers,the stronger optimal insider trading intensity is such that the total expect profit of the insider is decreasing even go to zero while both the market liquidity and the residual information are decreasing;(iii)the longer the mean of random time,the weaker the optimal insider trading intensity is while the more both the residual information and the expected profit are,but there is a threshold of trading time,half of the mean of the random time,such that if and only if after it the market liquidity is increasing with the mean of random time increasing.

关键词： continuous-time insider trading random deadline partial observations filtering theory maximal principle

Modeling and application of marketing and distribution data based on graph computing

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Global Energy Interconnection 2022年第4期5卷 448-460页

作者： kai xiao Daoxing Li xiaohui Wang Pengtian Guo China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

Integrating marketing and distribution businesses is crucial for improving the coordination of equipment and the efficient management of multi-energy systems.New energy sources are continuously being connected to distribution grids;this,however,increases the complexity of the information structure of marketing and distribution businesses.The existing unified data model and the coordinated application of marketing and distribution suffer from various drawbacks.As a solution,this paper presents a data model of"one graph of marketing and distribution"and a framework for graph computing,by analyzing the current trends of business and data in the marketing and distribution fields and using graph data theory.Specifically,this work aims to determine the correlation between distribution transformers and marketing users,which is crucial for elucidating the connection between marketing and distribution.In this manner,a novel identification algorithm is proposed based on the collected data for marketing and distribution.Lastly,a forecasting application is developed based on the proposed algorithm to realize the coordinated prediction and consumption of distributed photovoltaic power generation and distribution loads.Furthermore,an operation and maintenance(O&M)knowledge graph reasoning application is developed to improve the intelligent O&M ability of marketing and distribution equipment.

关键词： Marketing and distribution connection Graph data Graph computing Knowledge graph Data model

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Global Energy Interconnection 2023年第1期6卷 15-25页

作者： kai xiao Daoxing Li Pengtian Guo xiaohui Wang Yong Chen China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

Operation control of power systems has become challenging with an increase in the scale and complexity of power distribution systems and extensive access to renewable energy.Therefore,improvement of the ability of data-driven operation management,intelligent analysis,and mining is urgently required.To investigate and explore similar regularities of the historical operating section of the power distribution system and assist the power grid in obtaining high-value historical operation,maintenance experience,and knowledge by rule and line,a neural information retrieval model with an attention mechanism is proposed based on graph data computing technology.Based on the processing flow of the operating data of the power distribution system,a technical framework of neural information retrieval is established.Combined with the natural graph characteristics of the power distribution system,a unified graph data structure and a data fusion method of data access,data complement,and multi-source data are constructed.Further,a graph node feature-embedding representation learning algorithm and a neural information retrieval algorithm model are constructed.The neural information retrieval algorithm model is trained and tested using the generated graph node feature representation vector set.The model is verified on the operating section of the power distribution system of a provincial grid area.The results show that the proposed method demonstrates high accuracy in the similarity matching of historical operation characteristics and effectively supports intelligent fault diagnosis and elimination in power distribution systems.

关键词： Neural information retrieval Power distribution Graph data Operating section Similarity matching

Towards sparse matrix operations:graph database approach for power grid computation

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Global Energy Interconnection 2023年第1期6卷 50-63页

作者： Daoxing Li kai xiao xiaohui Wang Pengtian Guo Yong Chen China Electric Power Research Institute Co.Ltd. Beijing 100192P.R.China

The construction of new power systems presents higher requirements for the Power Internet of Things(PIoT)technology.The“source-grid-load-storage”architecture of a new power system requires PIoT to have a stronger multi-source heterogeneous data fusion ability.Native graph databases have great advantages in dealing with multi-source heterogeneous data,which make them suitable for an increasing number of analytical computing tasks.However,only few existing graph database products have native support for matrix operation-related interfaces or functions,resulting in low efficiency when handling matrix calculations that are commonly encountered in power grids.In this paper,the matrix computation process is expressed by a strategy called graph description,which relies on the natural connection between the matrix and structure of the graph.Based on that,we implement matrix operations on graph database,including matrix multiplication,matrix decomposition,etc.Specifically,only the nodes relevant to the computation and their neighbors are concerned in the process,which prunes the influence of zero elements in the matrix and avoids useless iterations compared to the conventional matrix computation.Based on the graph description,a series of power grid computations can be implemented on graph database,which reduces redundant data import and export operations while leveraging the parallel computing capability of graph database.It promotes the efficiency of PIoT when handling multi-source heterogeneous data.An comprehensive experimental study over two different scale power system datasets compares the proposed method with Python and MATLAB baselines.The results reveal the superior performance of our proposed method in both power flow and N-1 contingency computations.

关键词： Graph database Graph description Matrix Parallel computing Power flow