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An Adaptive Hate Speech Detection Approach Using Neutrosophic Neural Networks for Social Media Forensics

第十五届国际药理学大会

作者： darwish deya Schreurs Bernard G Blanchette Rockefeller Neurosciences Institute West Virginia University School of Medicine5700 HSS PO Box 9302Medical Center Drive Morgantown WV 26506 Department of Physiology and Pharmacology and Blanchette Rockefeller Neurosciences Institute West Virginia University School of Medicine 5700 HSS PO Box 9302 Medical Center Drive Morgantown WV 26506

＜正＞ Our previous work has demonstrated that protein kinase C （PKC） is involved in classical conditioning. This study was to investigate if PKC modulator. Bryostatin - 1,was capable of facilitating rabbit conditioned NMR;and if there was a synergisticeffect between Bryostatin - 1 and Vitamin E. Bryostatin - 1 showed a dose - dependent increase in conditioned eyeblink responses from the fifth trace day. Compared to the paired rabbits receiving vehicle. Bryostatin - 1 alone, paired animals receiving both 10μg/kg Bryostatin - 1 and Vitamin E exhibited significantly more conditioned eyeblink responses. Bryostatin - 1 did not alter the reactivity to airpuff （US） and tone （CS）. These findings demonstrate a strong synergisticeffect on rabbit conditioned nictitating membrane responses between Bryostatin - 1 and Vitamin E and suggest Bryostatin - 1 and Vitamin E may be an optional treatment for learning disabilities and memory deficits in clinics.

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来源： cnki会议评论

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Computers, Materials & Continua 2024年第4期79卷 243-262页

作者： Yasmine M.Ibrahim Reem Essameldin Saad M.darwish Department of Information Technology Institute of Graduate Studies and ResearchAlexandria UniversityAlexandria21526Egypt Faculty of Computers and Information Technology Egyptian E-Learning University(EELU)Giza12611Egypt Faculty of Computers and Data Science Alexandria UniversityAlexandria21554Egypt

Detecting hate speech automatically in social media forensics has emerged as a highly challenging task due tothe complex nature of language used in such platforms. Currently, several methods exist for classifying hatespeech, but they still suffer from ambiguity when differentiating between hateful and offensive content and theyalso lack accuracy. The work suggested in this paper uses a combination of the Whale Optimization Algorithm(WOA) and Particle Swarm Optimization (PSO) to adjust the weights of two Multi-Layer Perceptron (MLPs)for neutrosophic sets classification. During the training process of the MLP, the WOA is employed to exploreand determine the optimal set of weights. The PSO algorithm adjusts the weights to optimize the performanceof the MLP as fine-tuning. Additionally, in this approach, two separate MLP models are employed. One MLPis dedicated to predicting degrees of truth membership, while the other MLP focuses on predicting degrees offalse membership. The difference between these memberships quantifies uncertainty, indicating the degree ofindeterminacy in predictions. The experimental results indicate the superior performance of our model comparedto previous work when evaluated on the Davidson dataset.

关键词： Hate speech detection whale optimization neutrosophic sets social media forensics

Improving the Transmission Security of Vein Images Using a Bezier Curve and Long Short-Term Memory

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Computers, Materials & Continua 2024年第6期79卷 4825-4844页

作者： Ahmed H.Alhadethi Ikram Smaoui Ahmed Fakhfakh Saad M.darwish Computer Science and School of Electronics and Telecommunications University of SfaxSfax3029Tunisia LETI Laboratory University of SfaxSfax3029Tunisia Digital Research Center of Sfax Technopark of SfaxSfax3029Tunisia Department of Information Technology Institute of Graduate Studies and ResearchAlexandria UniversityAlexandriaEgypt

The act of transmitting photos via the Internet has become a routine and significant *** the security measures to safeguard these images from counterfeiting and modifications is a critical domain that can still be further *** study presents a system that employs a range of approaches and algorithms to ensure the security of transmitted venous *** main goal of this work is to create a very effective system for compressing individual biometrics in order to improve the overall accuracy and security of digital photographs by means of image *** paper introduces a content-based image authentication mechanism that is suitable for usage across an untrusted network and resistant to data loss during *** employing scale attributes and a key-dependent parametric Long Short-Term Memory(LSTM),it is feasible to improve the resilience of digital signatures against image deterioration and strengthen their security against malicious ***,the successful implementation of transmitting biometric data in a compressed format over a wireless network has been *** applications involving the transmission and sharing of images across a *** suggested technique utilizes the scalability of a structural digital signature to attain a satisfactory equilibrium between security and picture *** effective adaptive compression strategy was created to lengthen the overall lifetime of the network by sharing the processing of *** scheme ensures a large reduction in computational and energy requirements while minimizing image quality *** approach employs multi-scale characteristics to improve the resistance of signatures against image *** proposed system attained a Gaussian noise value of 98%and a rotation accuracy surpassing 99%.

关键词： Image transmission image compression text hiding Bezier curve Histogram of Oriented Gradients(HOG) LSTM image enhancement Gaussian noise rotation

Predicting potential invasion risks of Leucaena leucocephala(Lam.)de Wit in the arid area of Saudi Arabia

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Journal of Arid Land 2024年第7期16卷 983-999页

作者： Haq S MARIFATUL darwish MOHAMMED Waheed MUHAMMAD Kumar MANOJ Siddiqui H MANZER Bussmann W RAINER Department of Ethnobotany Institute of BotanyIlia State UniversityTbilisi 0162Georgia The Centre of Excellence on Sustainable Land Management(CoE-SLM) Indian Council of Forestry Research and EducationDehradun 248006India Department of Botany and Microbiology College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Department of Botany State Museum for Natural HistoryKarlsruhe 76133Germany

The presence of invasive plant species poses a substantial ecological impact,thus comprehensive evaluation of their potential range and risk under the influence of climate change is *** study uses maximum entropy(MaxEnt)modeling to forecast the likelihood of Leucaena leucocephala(Lam.)de Wit invasion in Saudi Arabia under present and future climate change *** the MaxEnt modeling,we integrated climatic and soil data to predict habitat suitability for the invasive *** conducted a detailed analysis of the distribution patterns of the species,using climate variables and ecological *** focused on the important influence of temperature seasonality,temperature annual range,and precipitation *** distribution modeling used robust measures of area under the curve(AUC)and receiver-operator characteristic(ROC)curves,to map the invasion extent,which has a high level of accuracy in identifying appropriate *** complex interaction that influenced the invasion of *** was highlighted by the environmental parameters using Jackknife ***,the actual geographic area where *** was found in Saudi Arabia was considerably smaller than the theoretical maximum range,suggesting that it had the capacity to expand *** MaxEnt model exhibited excellent prediction accuracy and produced reliable results based on the data from the ROC *** and temperature were the primary factors influencing the potential distribution of ***,an estimated area of 216,342 km^(2)in Saudi Arabia was at a high probability of invasion by *** investigated the potential for increased invasion hazards in the future due to climate change scenarios(Shared Socioeconomic Pathways(SSPs)245 and 585).The analysis of key climatic variables,including temperature seasonality and annual range,along with soil properties such as clay composition and nitrogen content,unveiled their substanti

关键词： area under the curve invasive species invasion risks climate change MaxEnt model

A new technique for fault diagnosis in transformer insulating oil based on infrared spectroscopy measurements

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High Voltage 2024年第2期9卷 319-335页

作者： Mohamed M.F.darwish Mohamed H.A.Hassan Nagat M.K.Abdel-Gawad Matti Lehtonen Diaa-Eldin A.Mansour Department of Electrical Engineering Faculty of Engineering at ShoubraBenha UniversityCairoEgypt Department of Electrical Engineering and Automation School of Electrical EngineeringAalto UniversityEspooFinland Department of Electrical Power Engineering Egypt-Japan University of Science and Technology(E-JUST)New Borg El-Arab CityEgypt Department of Electrical Power and Machines Engineering Faculty of EngineeringTanta UniversityTantaEgypt

Condition monitoring of the insulating system within power transformers has a massive importance according to the electrical *** gas analysis(DGA)is frequently used for this ***,DGA lacks the necessary level of accuracy to identify all equipment faults,particularly in their initial stages of ***,it does not have the capability for real-time monitoring and relies on manual sampling and laboratory testing,causing potential delays in fault ***,the interpretation of DGA data necessitates specialised expertise,which may pose difficulties for smaller entities that have limited access to ***,the contribution of this research is to use infrared spectroscopy measurements as a new effective technique substituting the DGA method for fault diagnosis in insulating *** inception faults that were considered in this study were the electrical fault(discharges of high energy)and the thermal fault(300°C

关键词： fault diagnosis spectroscopy

Evaluating transient behaviour of large-scale photovoltaic systems during lightning events using enhanced finite difference time domain method with variable cell size approach

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High Voltage 2024年第3期9卷 636-647页

作者： Ibrahim Hetita Diaa-Eldin A.Mansour Yang Han Ping Yang Congling Wang Mohamed M.F.darwish Matti Lehtonen Amr S.Zalhaf School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China(UESTC)ChengduChina Electrical Power and Machines Engineering Department Faculty of EngineeringHelwan UniversityCairoEgypt Electrical Power and Machines Engineering Department Faculty of EngineeringTanta UniversityTantaEgypt Department of Electrical Power Engineering Faculty of EngineeringEgypt-Japan University of Science and TechnologyAlexandriaEgypt Department of Electrical Engineering Faculty of Engineering at ShoubraBenha UniversityCairoEgypt Department of Electrical Engineering and Automation School of Electrical EngineeringAalto UniversityEspooFinland

Photovoltaic(PV)arrays are usually installed in open areas;hence,they are vulnerable to lightning strikes that can result in cell degradation,complete damage,service disruption,and increased maintenance *** a result,it is imperative to develop an effective and efficient lightning protection system by evaluating the transient behaviour of PV arrays during lightning *** aim is to evaluate the transient analysis of large-scale PV systems when subjected to lightning strikes using the finite difference time domain(FDTD)*** overvoltages are calculated at various points within the mounting *** optimise the FDTD method's execution time and make it more suitable for less powerful hardware,a variable cell size approach is ***,larger cell dimensions are used in the earthing system and smaller cell dimensions are used in the mounting *** FDTD method is utilised to calculate the temporal variation of transient overvoltages for large-scale PV systems under different scenarios,including variations in the striking point,soil resistivity,and the presence of a metal *** results indicate that the highest transient overvoltages occur at the striking point,and these values increase with the presence of a PV metal frame as well as with higher soil ***,a comparison is performed between the overvoltage results obtained from the FDTD approach and the partial element equivalent circuit(PEEC)method at the four corner points of the mounting systems to demonstrate the superior accuracy of the FDTD ***,a laboratory experiment is conducted on a small-scale PV system to validate the simulation *** calculated overvoltages obtained from the FDTD and PEEC methods are compared with the measured values,yielding a mean absolute error of 5%and 11%for the FDTD and PEEC methods,respectively,thereby confirming the accuracy of the FDTD simulation model.

关键词： transient behaviour finite

Multi-timescale Modeling and Dynamic Stability Analysis for Sustainable Microgrids:State-of-the-art and Perspectives

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Protection and Control of Modern Power Systems 2024年第3期9卷 1-35页

作者： Mingyue Zhang Yang Han Yuxiang Liu Amr S.Zalhaf Ensheng Zhao Karar Mahmoud Mohamed M.F.darwish Frede Blaabjerg the School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu 611731China IEEE 不详 the University of Electronic Science and Technology of China(UESTC) ChengduChina Aswan University the School of Electrical Engineering Aalto UniversityFinland the Department of Electrical Engineering Faculty of Engineering at ShoubraBenha University the Department of EEA School of Electrical EngineeringAalto University

The increasing trend for integrating renewable energy sources into the grid to achieve a cleaner energy system is one of the main reasons for the development of sustainable microgrid(MG)*** typical power-electronized power systems,MGs make extensive use of power electronics converters,which are highly controllable and flexible but lead to a profound impact on the dynamic performance of the whole *** with traditional large-capacity power systems,MGs are less resistant to perturbations,and various dynamic variables are coupled with each other on multiple timescales,resulting in a more complex system instability *** meet the technical and economic challenges,such as active and reactive power-sharing,voltage,and frequency deviations,and imbalances between power supply and demand,the concept of hierarchical control has been introduced into MGs,allowing systems to control and manage the high capacity of renewable energy sources and ***,as the capacity and scale of the MG system increase,along with a multi-timescale control loop design,the multi-timescale interactions in the system may become more significant,posing a serious threat to its safe and stable *** investigate the multi-timescale behaviors and instability mechanisms under dynamic inter-actions for AC MGs,existing coordinated control strategies are discussed,and the dynamic stability of the system is defined and classified in this ***,the modeling and assessment methods for the stability analysis of multi-timescale systems are also ***,an outlook and discussion of future research directions for AC MGs are also presented.

关键词： Sustainable microgrid hierarchical control modeling model simplification multi-timescale dynamic stability analysis timescale decomposition.

Design and Implementation of Patient Online Guide System

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南开大学学报（自然科学版） 2024年第4期57卷 37-43页

作者： Nada Mohsen darwish Mohamed Dong Liang Wang Lin Sun Guiling College of Electronic Information and Optical Engineering Nankai UniversityTianjin 300350China

The design and implementation of an online guide system were presented for *** system offers a website that makes it easier for patients,or any ordinary visitor to diagnose their disease by simply uploading their MRI image,the website also assists the patient in determining the doctor they need to see,and finding the nearest hospital or blood *** build the website,SQL Server,MAT-LAB,and Adobe Dreamweaver were *** rapid increase in digital images produced in hospitals us-ing medical imaging techniques such as X-Ray,CT scans,MRI,and ultrasound has increased the demand for efficient image retrieval *** description,and annotation of each image in a large database using text-based indexing(also known as the Metadata approach)is time-consuming,and impractical,making Content-based Image Retrieval(CBIR)a better *** system proposed returns results based on visual features of the image,such as color,texture,and shape.

关键词： CBIR database information retrieval systems wavelet transform

新型基础设施建设对营商环境的影响——来自国家智慧城市建设的证据

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吉林工商学院学报 2024年第1期40卷 20-28页

作者：华德亚黄俊松安徽大学经济学院安徽合肥230601 安徽大学创新发展战略研究院安徽合肥230601

基于我国2007—2018年227个城市的面板数据,运用多期双重差分法评估了智慧城市建设对城市营商环境的政策效应。结果发现:智慧城市建设显著改善了城市营商环境,并基于PSM-DID方法以及安慰剂检验验证了结论的稳健性;智慧城市建设主要通过... 详细信息

基于我国2007—2018年227个城市的面板数据,运用多期双重差分法评估了智慧城市建设对城市营商环境的政策效应。结果发现:智慧城市建设显著改善了城市营商环境,并基于PSM-DID方法以及安慰剂检验验证了结论的稳健性;智慧城市建设主要通过经济发展、市场调节以及基础设施效应的机制路径改善城市营商环境;异质性结果显示智慧城市建设对新一线、二线、三线、四线城市营商环境具有显著改善作用,对五线城市没有显著影响;在区域层面上,智慧城市建设对东部城市改善效应大于中部及西部城市。

关键词：智慧城市建设营商环境倾向得分匹配多期双重差分模型政策效应

暗紫贝母甲羟戊酸激酶基因的重组表达与定点突变研究

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华西药学杂志 2024年第1期39卷 48-52页

作者：黄德娅邹萌黄斌翰周嘉裕廖海西南交通大学生命科学与工程学院四川成都610000

目的研究暗紫贝母Fritillaria unibracteata甲羟戊酸激酶(FUMK)基因的重组表达与定点突变。方法基于暗紫贝母转录组中FUMK基因的ORF序列,全化学合成FUMK-pET28a重组质粒,在大肠杆菌BL21中表达其重组蛋白,纯化后检测其酶活性。利用定点... 详细信息

目的研究暗紫贝母Fritillaria unibracteata甲羟戊酸激酶(FUMK)基因的重组表达与定点突变。方法基于暗紫贝母转录组中FUMK基因的ORF序列,全化学合成FUMK-pET28a重组质粒,在大肠杆菌BL21中表达其重组蛋白,纯化后检测其酶活性。利用定点突变验证关键氨基酸。结果FUMK基因ORF全长为1158 bp,编码一条长度为385个氨基酸的多肽。FUMK与卷叶贝母的甲羟戊酸激酶(MK)同源性最高,序列相似性可达77.14%。FUMK与百合科贝母属植物的MK聚类形成单系群,具有最近的亲缘关系。在大肠杆菌BL21中成功表达出FUMK重组蛋白,纯化后的重组蛋白能够催化腺嘌呤核苷三磷酸(ATP)与甲羟戊酸反应,形成甲羟戊酸磷酸。FUMK对ATP的酶促反应最大速度(Vmax)与米氏常数(Km)值分别为1.72μmol·min^(-1)·mg^(-1)、15.84μmol·L^(-1);对甲羟戊酸的Vmax与Km值分别为0.71μmol·min^(-1)·mg-1、28.58μmol·L^(-1)。His198Ala和Ser137Ala两种突变蛋白的酶促活性分别显著减少49.08%、23.91%,表明其是FUMK行使催化功能的关键氨基酸残基。结论成功鉴定了FUMK基因,并验证了His198与Ser137两个关键氨基酸残基,为研究其基因在暗紫贝母甾体类生物碱生物合成途径中的生物学作用奠定了理论基础。

关键词：暗紫贝母甲羟戊酸激酶生物信息学分析重组表达定点突变序列比对催化反应反应速率