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Mast cell activation syndrome:An up-to-date review of literature

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World Journal of Clinical Pediatrics 2024年第2期13卷 104-113页

作者： ÖnerÖzdemir Gökçe Kasımoğlu Ayşegül bak.Hüseyin Sütlüoğlu Süreyya Savaşan Department of Pediatric Allergy and Immunology Sakarya UniversitySakaryaAdapazarı54100Türkiye Department of Pediatrics Sakarya UniversitySakaryaAdapazarı54100Türkiye Department of Pediatrics Kocaeli City HospitalKocaeli 50123Türkiye Department of Pediatrics Children’s Hospital of MichiganHematology/OncologyCentral Michigan University College of MedicineMount PleasantMI 48859United States Barbara Ann Karmanos Cancer Institute Wayne State UniversityDetroitMI 12345United States

Mast cells are a subtype of white blood cells and are involved in the immune *** cells contain many chemical substances called mediators,which are involved in the allergic *** fact that mast cells play a role in many events that require urgent intervention,especially anaphylaxis,has led to a more detailed study of these *** diseases also caused by dysfunctions of mast cells have been examined in many *** instance,mast cell activation syndrome is known as an augmented number of cells due to decreased cell death,resulting in clinical symptoms affecting many *** main common symptoms include flushing,hypotension,urticaria,angioedema,headache,vomiting and *** the underlying mechanism is not yet clearly known,we aim to review the literature in a broad perspective and bring together the existing knowledge in the light of the literature due to the diversity of its involvement in the body and the fact that it is a little known syndrome.

关键词： Mast cell Mast cell activation syndrome Tryptase Histamine

The use of automatic measurement techniques in the geotechnical monitoring system of PGE GiEK S.A.,KWB Turów branch

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International Journal of Coal Science & Technology 2022年第6期9卷 89-100页

作者： Milosz bak PGE Górnictwo i Energia Konwencjonalna S.A. Turów Coal MineGórników Turowa 159-916 BogatyniaPoland Wroclaw University of Science and Technology Faculty of Civil EngineeringWybrzeze Wyspiańskiego 2750-370 WroclawPoland

Geotechnical monitoring currently plays a key role in the research of the processes taking place in the ground medium and preventing hazardous *** the case of open-pit mining,several solutions are commonly used to monitor various geotechnical ***,geotechnical situation is usually assessed based on recorded values of deep and surface displacement,which allow to accurately predict *** measurements are most often carried out manually,which,due to the difficult terrain conditions in the case of open-pit mining,are often timeconsuming and complicated,especially taking into account dangerous landslide ***,in order to ensure a higher degree of safety against the risk of landslides,modern solutions are required in the field of geotechnical *** article presents modern automatic measurement techniques,compares various solutions available on the market and illustrates the benefits of their application in open-pit *** also discusses the expansion and modernization of the control and measurement network at KWB Turów,carried out in recent years,as well as the observational method for controlling the efficiency of stackers,developed after the installation of automated measuring stations,with its impact on the geotechnical safety of an internal waste *** paper as a case study presents,what a modern and effective geotechnical monitoring system should look like,which in practice will ensure continuous observation of selected parameters and enable a quick response in the event of a landslide *** but not least,the author focuses on the creation of an innovative landslide early warning system,implemented at KWB Turów.

关键词： Geotechnical monitoring Geotechnical hazard Landslides Early warning Automation Mining

川芎提取液制备工艺的优化及免疫调节作用研究

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环球中医药 2024年第5期17卷 785-793页

作者：热依塞·努尔买买提李一芃王梓旭 Subin bak.Hansol Choi 李伟张建军北京中医药大学中医学院 102488 韩国首尔KOLMARBNH食品科学研发中心

目的优化川芎提取液的制备工艺,研究川芎提取液对小鼠的安全性和对免疫抑制小鼠的免疫活性。方法首先,采用L_(9)(3~4)正交试验法,以阿魏酸和川芎多糖的转移率为考察指标,对提取时间、提取次数、加水量等3个因素进行考察,优化川芎的提取... 详细信息

目的优化川芎提取液的制备工艺,研究川芎提取液对小鼠的安全性和对免疫抑制小鼠的免疫活性。方法首先,采用L_(9)(3~4)正交试验法,以阿魏酸和川芎多糖的转移率为考察指标,对提取时间、提取次数、加水量等3个因素进行考察,优化川芎的提取工艺。进一步,将川芎提取液浓缩并分成两部分,一部分浓缩,一部分浓缩后醇沉,合并浓缩液与醇沉物,以外观性状和口感为指标,比较确定川芎浓缩液和醇沉液的比例,制备川芎提取液。随后,采用腹腔注射环磷酰胺制备小鼠免疫抑制模型,灌胃给予小鼠川芎提取液低、中、高剂量,其浓度分别为190.0、380.0、570.0 mg/kg,连续灌胃32天后取材,测定小鼠脏器指数;酶联免疫吸附法(enzyme-linked immunosorbent assay,ELISA)检测小鼠免疫球蛋白G(immunoglobin G,IgG)、免疫球蛋白M(immunoglobin M,IgM)、补体C3(complement 3,C3)、补体C4(complement 4,C4)、白细胞介素-6(interleukin-6,IL-6)、白细胞介素-8(interleukin-8,IL-8)、肿瘤坏死因子α(tumor necrosis factor-α,TNF-α)水平的变化;MTT法检测脾淋巴细胞的转化率;LDH法测自然杀伤细胞(natural killer cell,NK)活性。结果阿魏酸和川芎多糖的最佳提取工艺参数为提取2次,第一次提取液料比为10∶1,提取时间为4小时;第二次提取液料比为5∶1,提取时间为2小时。川芎水提浓缩液与65%水提醇沉物配比为3∶2时,制备的川芎提取液溶液澄清度高、口感好。与模型组比较,胸腺指数和脾脏指数均显著上升(P<0.01,P<0.001),川芎提取液各剂量组IgG、IgM、C3、C4含量均显著升高(P<0.001,P<0.01,P<0.05),川芎高剂量组IL-6、IL-8、TNF-α含量均显著降低(P<0.001,P<0.01,P<0.05),川芎中剂量组IL-6、IL-8含量均显著降低(P<0.001),川芎低剂量组IL-8含量显著降低(P<0.01),川芎提取液各剂量组均可显著提高免疫低下动物NK细胞活性和脾淋巴细胞转化率(P<0.001,P<0.01,P<0.05)。结论优化的川芎提取液制备工艺可行、简便、稳定、澄清度高、口感好、安全性高,对环磷酰胺致免疫抑制小鼠具有免疫增强作用。

关键词：川芎正交试验法免疫调节细胞因子环磷酰胺

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Deep Facial Emotion Recognition Using Local Features Based on Facial Landmarks for Security System

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Computers, Materials & Continua 2023年第8期76卷 1817-1832页

作者： Youngeun An Jimin Lee Eunsang bak.Sungbum Pan IT Research Institute Chosun UniversityGwang-Ju61452Korea

Emotion recognition based on facial expressions is one of the most critical elements of human-machine *** conventional methods for emotion recognition using facial expressions use the entire facial image to extract features and then recognize specific emotions through a pre-trained *** contrast,this paper proposes a novel feature vector extraction method using the Euclidean distance between the landmarks changing their positions according to facial expressions,especially around the eyes,eyebrows,nose,***,we apply a newclassifier using an ensemble network to increase emotion recognition *** emotion recognition performance was compared with the conventional algorithms using public *** results indicated that the proposed method achieved higher accuracy than the traditional based on facial expressions for emotion *** particular,our experiments with the FER2013 database show that our proposed method is robust to lighting conditions and backgrounds,with an average of 25% higher performance than previous ***,the proposed method is expected to recognize facial expressions,especially fear and anger,to help prevent severe accidents by detecting security-related or dangerous actions in advance.

关键词： Facial emotion recognition landmark-based feature extraction ensemble network robustness to the changes in illumination and background dangerous situation detection accident prevention

Data-driven Missing Data Imputation for Wind Farms Using Context Encoder

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Journal of Modern Power Systems and Clean Energy 2022年第4期10卷 964-976页

作者： Wenlong Liao Birgitte bak.Jensen Jayakrishnan Radhakrishna Pillai Dechang Yang Yusen Wang Department of Energy Technology Aalborg UniversityAalborgDenmark College of Information and Electrical Engineering China Agricultural UniversityBeijingChina School of Electrical Engineering and Computer Science KTH Royal Institute of TechnologyStockholmSweden

High-quality datasets are of paramount importance for the operation and planning of wind ***,the datasets collected by the supervisory control and data acquisition(SCADA)system may contain missing data due to various factors such as sensor failure and communication *** this paper,a data-driven approach is proposed to fill the missing data of wind farms based on a context encoder(CE),which consists of an encoder,a decoder,and a *** deep convolutional neural networks,the proposed method is able to automatically explore the complex nonlinear characteristics of the datasets that are difficult to be modeled *** proposed method can not only fully use the surrounding context information by the reconstructed loss,but also make filling data look real by the adversarial *** addition,the correlation among multiple missing attributes is taken into account by adjusting the format of input *** simulation results show that CE performs better than traditional methods for the attributes of wind farms with hallmark characteristics such as large peaks,large valleys,and fast ***,the CE shows stronger generalization ability than traditional methods such as auto-encoder,K-means,k-nearest neighbor,back propagation neural network,cubic interpolation,and conditional generative adversarial network for different missing data scales.

关键词： Data-driven missing data imputation wind farm deep learning context encoder

A Review of Graph Neural Networks and Their Applications in Power Systems

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Journal of Modern Power Systems and Clean Energy 2022年第2期10卷 345-360页

作者： Wenlong Liao Birgitte bak.Jensen Jayakrishnan Radhakrishna Pillai Yuelong Wang Yusen Wang the Department of Energy Technology Aalborg UniversityAalborgDenmark the State Grid Tianjin Chengxi Electric Power Supply Branch TianjinChina the School of Electrical Engineering and Computer Science KTH Royal Institute of TechnologyStockholmSweden

Deep neural networks have revolutionized many machine learning tasks in power systems,ranging from pattern recognition to signal *** data in these tasks are typically represented in Euclidean ***,there is an increasing number of applications in power systems,where data are collected from non-Euclidean domains and represented as graph-structured data with high-dimensional features and interdependency among *** complexity of graph-structured data has brought significant challenges to the existing deep neural networks defined in Euclidean ***,many publications generalizing deep neural networks for graph-structured data in power systems have *** this paper,a comprehensive overview of graph neural networks(GNNs)in power systems is ***,several classical paradigms of GNN structures,e.g.,graph convolutional networks,are *** applications in power systems such as fault scenario application,time-series prediction,power flow calculation,and data generation are reviewed in ***,main issues and some research trends about the applications of GNNs in power systems are discussed.

关键词： Machine learning power system deep neural network graph neural network artificial intelligence

Ultra-short-term Interval Prediction of Wind Power Based on Graph Neural Network and Improved Bootstrap Technique

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Journal of Modern Power Systems and Clean Energy 2023年第4期11卷 1100-1114页

作者： Wenlong Liao Shouxiang Wang Birgitte bak.Jensen Jayakrishnan Radhakrishna Pillai Zhe Yang Kuangpu Liu AAU Energy Aalborg UniversityAalborg 9220Denmark Key Laboratory of Smart Grid of Ministry of Education School of Electrical and Information EngineeringTianjin UniversityTianjin 300072China

Reliable and accurate ultra-short-term prediction of wind power is vital for the operation and optimization of power ***,the volatility and intermittence of wind power pose uncertainties to traditional point prediction,resulting in an increased risk of power system *** represent the uncertainty of wind power,this paper proposes a new method for ultra-short-term interval prediction of wind power based on a graph neural network(GNN)and an improved Bootstrap ***,adjacent wind farms and local meteorological factors are modeled as the new form of a graph from the graph-theoretic ***,the graph convolutional network(GCN)and bi-directional long short-term memory(Bi-LSTM)are proposed to capture spatiotemporal features between nodes in the *** obtain highquality prediction intervals(PIs),an improved Bootstrap technique is designed to increase coverage percentage and narrow PIs *** simulations demonstrate that the proposed method can capture the spatiotemporal correlations from the graph,and the prediction results outperform popular baselines on two real-world datasets,which implies a high potential for practical applications in power systems.

关键词： Wind power graph neural network(GNN) bidirectional long short-term memory(Bi-LSTM) prediction interval Bootstrap technique

Scenario Generations for Renewable Energy Sources and Loads Based on Implicit Maximum Likelihood Estimations

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1563-1575页

作者： Wenlong Liao Birgitte bak.Jensen Jayakrishnan Radhakrishna Pillai Zhe Yang Yusen Wang Kuangpu Liu AAU Energy Aalborg UniversityAalborgDenmark School of Electrical Engineering and Computer Science KTH Royal Institute of TechnologyStockholmSweden

Scenario generations for renewable energy sources and loads play an important role in the stable operation and risk assessment of integrated energy *** paper proposes a deep generative network based method to model time-series curves,e.g.,power generation curves and load curves,of renewable energy sources and loads based on implicit maximum likelihood estimations(IMLEs),which can generate realistic scenarios with similar patterns as real *** training the model,any number of new scenarios can be obtained by simply inputting Gaussian noises into the data generator of *** proposed approach does not require any model assumptions or prior knowledge of the form in the likelihood function being made during the training process,which leads to stronger applicability than explicit density model based *** extensive experiments show that the IMLEs accurately capture the complex shapes,frequency-domain characteristics,probability distributions,and correlations of renewable energy sources and ***,the proposed approach can be easily generalized to scenario generation tasks of various renewable energy sources and loads by fine-tuning parameters and structures.

关键词： Renewable energy source scenario generation implicit maximum likelihood estimation(IMLE) deep learning generative network

Enhancing Hydrophilicity of Thick Electrodes for High Energy Density Aqueous Batteries

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Nano-Micro Letters 2023年第7期15卷 110-121页

作者： Jungeun Lee Hyeonsoo Lee Cheol bak.Youngsun Hong Daeha Joung Jeong Beom Ko Yong Min Lee Chanhoon Kim Sustainable Technology and Wellness R&D Group Korea Institute of Industrial Technology(KITECH)102 Jejudaehak-RoJeju-SiJeju-do 63243Republic of Korea Department of Energy Science and Engineering Daegu Gyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Republic of Korea Department of Physics Virginia Commonwealth UniversityRichmondVA 23284USA

Thick electrodes can substantially enhance the overall energy density of ***,insufficient wettability of aqueous electrolytes toward electrodes with conventional hydrophobic binders severely limits utilization of active materials with increasing the thickness of electrodes for aqueous batteries,resulting in battery performance deterioration with a reduced ***,we demonstrate that controlling the hydrophilicity of the thicker electrodes is critical to enhancing the overall energy density of *** binders are synthesized via a simple sulfonation process of conventional polyvinylidene fluoride binders,considering physicochemical properties such as mechanical properties and *** introduction of abundant sulfonate groups of binders(i)allows fast and sufficient electrolyte wetting,and(ii)improves ionic conduction in thick electrodes,enabling a significant increase in reversible capacities under various current ***,the sulfonated binder effectively inhibits the dissolution of cathode materials in reactive aqueous ***,our findings significantly enhance the energy density and contribute to the development of practical zinc-ion batteries.

关键词： Thick electrodes Hydrophilic binder Sulfonation Aqueous zinc-ion batteries High areal capacity