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Smart Healthcare Activity Recognition Using Statistical Regression and Intelligent Learning

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Computers, Materials & Continua 2024年第1期78卷 1189-1205页

作者： K.Akilandeswari Nithya Rekha Sivakumar hend Khalid Alkahtani Shakila Basheer Sara Abdelwahab Ghorashi Department of Computer Sciences Government Arts College(Autonomous)Salem636007India Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia

In this present time,Human Activity Recognition(HAR)has been of considerable aid in the case of health monitoring and *** exploitation of machine learning with an intelligent agent in the area of health informatics gathered using HAR augments the decision-making quality and *** many research works conducted on Smart Healthcare Monitoring,there remain a certain number of pitfalls such as time,overhead,and falsification involved during ***,this paper proposes a Statistical Partial Regression and Support Vector Intelligent Agent Learning(SPR-SVIAL)for Smart Healthcare *** first,the Statistical Partial Regression Feature Extraction model is used for data preprocessing along with the dimensionality-reduced features extraction ***,the input dataset the continuous beat-to-beat heart data,triaxial accelerometer data,and psychological characteristics were acquired from IoT wearable *** attain highly accurate Smart Healthcare Monitoring with less time,Partial Least Square helps extract the dimensionality-reduced *** that,with these resulting features,SVIAL is proposed for Smart Healthcare Monitoring with the help of Machine Learning and Intelligent Agents to minimize both analysis falsification and *** evaluation is carried out for factors such as time,overhead,and false positive rate accuracy concerning several *** quantitatively analyzed results indicate the better performance of our proposed SPR-SVIAL method when compared with two state-of-the-art methods.

关键词： Internet of Things smart health care monitoring human activity recognition intelligent agent learning statistical partial regression support vector

Surface activation of viscose textiles via air,argon,and oxygen dielectric barrier discharge plasma:influence of peak voltage

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Plasma Science and Technology 2024年第7期26卷 134-147页

作者： Shrouk ELASHRY Usama M.RASHED Mostafa A.WAHBA hend M.AHMED Nabil M.ELSIRAGY Plasma Laboratory Physics DepartmentFaculty of scienceTanta UniversityTanta 31527Egypt Physics Department Faculty of Science(Male)Al-Azhar UniversityCairo 11651Egypt Textile Research Industrial Division National Research CentreDokkiGiza 12622Egypt

This paper discusses the use of atmospheric pressure dielectric barrier discharge(DBD)plasma treatment to enhance the surface qualities of viscose *** study explores the effects of different plasma gases,discharge voltages,and exposure times on the treated *** findings emphasize the importance of optimizing the plasma's peak voltage to achieve the desired surface treatment *** document also presents data on colour strength,wettability,colour fastness,and tensile strength of the treated fabrics,as well as scanning electron microscopy(SEM)analysis of surface morphology and chemical analysis using fouriertransition infrared spectroscopy(FTIR)and energy dispersive X-ray(EDX).The results show that treatment at a peak voltage of 11.83 k V is more efficient,except for the tensile strength which is enhanced at a peak voltage of 8.92 k *** oxygen plasma treatment significantly improves the colour strength,which exhibits an increase from 11 to *** intensified colour was attributed to the significant influence of electrostatic interactions between the charged hydroxyl groups of the oxygen plasma treated viscose textiles and the dye molecules,which enhance the *** oxygen DBD plasma exhibits a higher ability to enhance the properties of textiles when compared to air and argon *** study presents a sustainable,economical,secure,and ecologically friendly approach to explore new fabrics for specific uses.

关键词： Lissajous diagrams printability wettability tensile strength SEM EDX FTIR

Particle Swarm Optimization-Based Hyperparameters Tuning of Machine Learning Models for Big COVID-19 Data Analysis

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Journal of Computer and Communications 2024年第3期12卷 160-183页

作者： hend S. Salem Mohamed A. Mead Ghada S. El-Taweel Department of Computer Sciences Suez Canal University Ismailia Egypt

Analyzing big data, especially medical data, helps to provide good health care to patients and face the risks of death. The COVID-19 pandemic has had a significant impact on public health worldwide, emphasizing the need for effective risk prediction models. Machine learning (ML) techniques have shown promise in analyzing complex data patterns and predicting disease outcomes. The accuracy of these techniques is greatly affected by changing their parameters. Hyperparameter optimization plays a crucial role in improving model performance. In this work, the Particle Swarm Optimization (PSO) algorithm was used to effectively search the hyperparameter space and improve the predictive power of the machine learning models by identifying the optimal hyperparameters that can provide the highest accuracy. A dataset with a variety of clinical and epidemiological characteristics linked to COVID-19 cases was used in this study. Various machine learning models, including Random Forests, Decision Trees, Support Vector Machines, and Neural Networks, were utilized to capture the complex relationships present in the data. To evaluate the predictive performance of the models, the accuracy metric was employed. The experimental findings showed that the suggested method of estimating COVID-19 risk is effective. When compared to baseline models, the optimized machine learning models performed better and produced better results.

关键词： Big COVID-19 Data Machine Learning Hyperparameter Optimization Particle Swarm Optimization Computational Intelligence

恶嗪N-稠合咪唑-2-硫酮合成的机理研究:添加剂和溶剂的作用（英文）

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分子科学学报 2024年第3期40卷 256-266页

作者： MOHAMED hend 袁海艳张景萍东北师范大学化学学院

采用密度泛函理论计算了在无催化剂协助、水协助、三氟乙酸（TFA）协助条件下，2,2-二羟基-1-苯乙酮（1）,（2-氨基苯）甲醇（2）和KSCN（3）合成3-苯基-2,5-二氢-1-氢-苯并[d]咪唑并[5,1-b][1,3]恶嗪-1-硫酮的反应机理。计算结果表明，... 详细信息

采用密度泛函理论计算了在无催化剂协助、水协助、三氟乙酸（TFA）协助条件下，2,2-二羟基-1-苯乙酮（1）,（2-氨基苯）甲醇（2）和KSCN（3）合成3-苯基-2,5-二氢-1-氢-苯并[d]咪唑并[5,1-b][1,3]恶嗪-1-硫酮的反应机理。计算结果表明，TFA、水和底物2可以改变和促进该反应。基于底物不同的反应顺序共探究了3种机理M1（1+2然后与3反应）、M2（1+3然后与2反应）和M3（2+3然后与1反应）,并发现底物2的亲核性强于底物3。计算表明TFA-水共同协助机理M1的路径最优，决速步是[3+2]环加成过程。TFA和水分子在整个反应中起着至关重要的作用，通过N—H…O,O—H…O及C—H…O相互作用来稳定过渡态和中间体的结构。它们还作为氢键（HBs）给体和受体，通过改变乙二醛-水合物和KSCN的反应形式来提高底物的反应活性。底物2作为HBs受体促进了烯醇-酮互变异构和质子转移过程。进一步发现该反应可以用水替换CH3CN,为合成绿色恶嗪杂环类化合物提供了新的方案。

关键词：密度泛函理论反应机理添加剂和溶剂多组分反应

Current approaches in treatment of triple-negative breast cancer

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Cancer Biology & Medicine 2015年第2期12卷 106-116页

作者： Hanan Ahmed Wahba hend Ahmed El-Hadaad Clinical Oncology and Nuclear Medicine Mansoura University

Triple-negative breast cancer(TNBC) is diagnosed more frequently in younger and premenopausal women and is highly prevalent in African American women. TNBC is a term derived from tumors that are characterized by the absence of ER, Pg R, and HER2. So patients with TNBC do not benefit from hormonal or trastuzumab-based therapies. TNBCs are biologically aggressive, although some reports suggest that they respond to chemotherapy better than other types of breast cancer, prognosis remains poor. This is due to: shortened disease-free interval in the adjuvant and neoadjuvant setting and a more aggressive course in the metastatic setting.

关键词： Breast cancer triple-negative HER2

Modeling Rogowski Coils for Monitoring Surge Arrester Discharge Currents

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Computer Systems Science & Engineering 2022年第8期42卷 439-449页

作者： Nehmdoh A.Sabiha hend I.Alkhammash Department of Electrical Engineering Faculty of EngineeringMenoufia University32511Shebin ElkomEgypt Department of Electrical Engineering College of EngineeringTaif University21944TaifSaudi Arabia

Rogowski coils(RCs)are widely used to measure power or high frequency currents based on their *** this paper,two types of RCs that are circular(traditional)and cylindrical shapes wound using wire covered by varnish are *** construction is carried out to be suitable for monitoring the discharge current of the surge arrester installed in the distribution *** high frequency RC modeling for both types considering transfer function is ***-integrating for both types is ***,the experimental tests using function generator for both coils are carried out to identify the parameters of the transfer function representing the introduced *** measured signals for current and induced voltages are denoised for the parameter identification *** denoised process is achieved using the MATLAB code‘wdenoise’while the parameters are estimated using the system identification *** of the proposed model is achieved using experimental results for the two *** sensitivity of the two coils is investigated based on the induced output *** application concerning the two coils for monitoring the discharge current of the surge arrester is *** results confirm the accuracy of the introduced RC model,as well as the performance of the cylindrical shape,is better than the traditional *** simulation is carried out using MATLAB and ATPDraw programs.

关键词： Rogowski coil surge arrester discharge current frequency response parameters dentification denoised signal

Assessment of family physicians’knowledge of childhood autism

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Family Medicine and Community Health 2017年第4期5卷 266-274页

作者： hend Mikhail Salama Department of Family Medicine Faculty of MedicineSuez Canal UniversityIsmailiaEgypt

Objective:This study aimed to assess the knowledge of family physicians regarding child-hood ***:The study is a one-way cross-sectional descriptive study,conducted between Janu-ary and March *** study involved 70 family physicians who were working and/or studying for a master degree in the School of Medicine,Suez Canal *** researcher collected the sociodemographic characteristics,and then the participants completed the Knowledge about Child-hood Autism among Healthcare Workers(KCAHW)***:The total KCAHW score was 11.2±3.5(mean±standard deviation),the domain with the highest score was domain 1(5.6±1.8),and family physicians with previous experience had a higher mean score than physicians with no previous experience(12.9±2.7 and 10.7±3.5 respectively).In addition,there was a significant positive correlation between the mean KCAHW score and both the duration of practicing and earlier experience of ***:There is a lack of knowledge of autism among family physicians;they need more training on autism to increase their awareness to improve early detection and intervention so as to improve the quality of life and care of children with autism.

关键词： Autism knowledge family physicians

Epigenetic regulation of insulin-like growth factor axis in hepatocellular carcinoma

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World Journal of Gastroenterology 2016年第9期22卷 2668-2677页

作者： hend Mohamed El Tayebi Ahmed Ihab Abdelaziz The Molecular Pathology Research Group Department of Pharmacology and Toxicology Faculty of Pharmacy and Biotechnology German University in Cairo

The insulin-like growth factor(IGF) signaling path-way is an important pathway in the process of hepa-tocarcinogenesis,and the IGF network is clearly dysregulated in many cancers and developmental *** hepatocellular carcinoma(HCC),only a minority of patients are eligible for curative treatments,such as tumor resection or liver ***,there is a high recurrence of HCC after surgical tumor *** research efforts have focused on targeting IGF axis members in an attempt to find therapeutic options for many health *** this review,we shed lights on the regulation of members of the IGF axis,mainly by micro RNAs in *** RNAs in HCC attempt to halt the aberrant expression of the IGF network,and a single micro RNA can have multiple downstream targets in one or more signaling *** micro RNAs is a relatively new approach for identifying an efficient radical cure for HCC.

关键词： Hepatocellular carcinoma Insulin-like growth factors Insulin-like growth factor receptors Epigenetics microRNAs

Behind the curtain of non-coding RNAs; long non-coding RNAs regulating hepatocarcinogenesis

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World Journal of Gastroenterology 2018年第5期24卷 549-572页

作者： Aya El Khodiry Menna Afify hend M El Tayebi Genetic Pharmacology Research Group Clinical Pharmacy Unit department of Pharmacology and toxicology faculty of Pharmacy and biotechnology German University in Cairo

Hepatocellular carcinoma(HCC) is one of the most common and aggressive cancers worldwide. HCC is the fifth common malignancy in the world and the second leading cause of cancer death in Asia. Long non-coding RNAs(lncRNAs) are RNAs with a length greater than 200 nucleotides that do not encode proteins. lncRNAs can regulate gene expression and protein synthesis in several ways by interacting with DNA, RNA and proteins in a sequence specific manner. They could regulate cellular and developmental processes through either gene inhibition or gene activation. Many studies have shown that dysregulation of lncRNAs is related to many human diseases such as cardiovascular diseases, genetic disorders, neurological diseases, immune mediated disorders and cancers. However, the study of lncRNAs is challenging as they are poorly conserved between species, their expression levels aren't as high as that of m RNAs and have great interpatient variations. The study of lncRNAs expression in cancers have been a breakthrough as it unveils potential biomarkers and drug targets for cancer therapy and helps understand the mechanism of pathogenesis. This review discusses many long non-coding RNAs and their contribution in HCC, their role in development, metastasis, and prognosis of HCC and how to regulate and target these lncRNAs as a therapeutic tool in HCC treatment in the future.

关键词： tumor suppressor genes oncogenes Long non-coding RNAs proliferation hepatocellular carcinoma metastasis