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Tensile Strain Capacity Prediction of Engineered Cementitious Composites (ECC) Using Soft Computing Techniques

Computer Modeling in Engineering & Sciences 2024年第3期138卷 2925-2954页

作者： Rabar H.Faraj Hemn Unis Ahmed Hardi Saadullah Fathullah alan saeed abdulrahman Farid Abed Civil Engineering Department University of HalabjaHalabjaIraq University of Sulaimani College of EngineeringCivil Engineering DepartmentSulaimaniIraq Civil Engineering Department Komar University of Science and TechnologySulaimaniIraq Department of Engineering Kurdistan Institution for Strategic Studies and Scientific ResearchesSulaimaniIraq Department of Civil Engineering American University of SharjahSharjah26666UAE

Plain concrete is strong in compression but brittle in tension,having a low tensile strain capacity that can significantly degrade the long-term performance of concrete structures,even when steel reinforcing is *** order to address these challenges,short polymer fibers are randomly dispersed in a cement-based matrix to forma highly ductile engineered cementitious composite(ECC).Thismaterial exhibits high ductility under tensile forces,with its tensile strain being several hundred times greater than conventional *** concrete is inherently weak in tension,the tensile strain capacity(TSC)has become one of the most extensively researched *** a result,developing a model to predict the TSC of the ECC and to optimize the mixture proportions becomes ***,the effort required for laboratory trial batches to determine the TSC is *** achieve the research objectives,five distinct models,artificial neural network(ANN),nonlinear model(NLR),linear relationship model(LR),multi-logistic model(MLR),and M5P-tree model(M5P),are investigated and employed to predict the TSCof ECCmixtures containing fly *** from115 mixtures are gathered and analyzed to develop a new *** input variables include mixture proportions,fiber length and diameter,and the time required for curing the various *** model’s effectiveness is evaluated and verified based on statistical parameters such as R2,mean absolute error(MAE),scatter index(SI),root mean squared error(RMSE),and objective function(OBJ)***,the ANN model outperforms the others in predicting the TSC of the ECC,with RMSE,MAE,OBJ,SI,and R2 values of 0.42%,0.3%,0.33%,0.135%,and 0.98,respectively.

关键词： Engineered cementitious composites fly ash curing time tensile strain capacity modeling

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The Impact of Strategic HRM Practices and Their Role in Developing Competitive Advantage

The Impact of Strategic HRM Practices and Their Role in Deve...

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作者： Ahmed abdulrahman saeed Rashed Alshaibani 山东大学

学位级别：硕士

变幻莫测的激烈竞争加剧了组织内部人力投资的地位。本文论述了战略人力资源管理方面(SHRM)在也门IT企业中的作用,因为这是企业竞争优势的潜在来源。社会化和培训实践加强了人力资源实践,进而创造竞争优势。人力行为也是竞争优势的来源... 详细信息

变幻莫测的激烈竞争加剧了组织内部人力投资的地位。本文论述了战略人力资源管理方面(SHRM)在也门IT企业中的作用,因为这是企业竞争优势的潜在来源。社会化和培训实践加强了人力资源实践,进而创造竞争优势。人力行为也是竞争优势的来源,通过员工绩效获得的知识反映在组织的收入中。在进行了所需的数据检验之后,也门的IT公司证明战略人力资源管理会影响组织绩效。他们认识到员工在改变公司和通过SHRM提供竞争优势方面的重要性。因此,组织通过培训来支持员工并激励他们发展技能,这反映在组织绩效的改进上。本研究采用问卷调查的方法,并通过SPSS对问卷调查结果进行分析,研究样本数量为100个,分布在也门技术领域的三家公司(电信和信息技术公司和NATCO集团)中。问卷包含三个主要变量:自变量、因变量和调节变量。

关键词：战略人力资源管理人力资源管理人力资源竞争优势组织绩效

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Artificial Intelligence and Internet of Things Enabled Intelligent Framework for Active and Healthy Living

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Computers, Materials & Continua 2023年第5期75卷 3833-3848页

作者： saeed Ali Alsareii Mohsin Raza abdulrahman Manaa Alamri Mansour Yousef AlAsmari Muhammad Irfan Hasan Raza Muhammad Awais Department of Surgery College of MedicineNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Computer Science Edge Hill UniversitySt Helens RdOrmskirkL394QPUnited Kingdom Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Electrical Engineering Hamdard UniversityIslamabadPakistan

Obesity poses several challenges to healthcare and the well-being of *** can be linked to several life-threatening *** is a viable option in some instances to reduce obesity-related risks and enable weight ***-of-the-art technologies have the potential for long-term benefits in post-surgery *** this work,an Internet of Things(IoT)framework is proposed to effectively communicate the daily living data and exercise routine of surgery patients and patients with excessive *** proposed IoT framework aims to enable seamless communications from wearable sensors and body networks to the cloud to create an accurate profile of the *** also attempts to automate the data analysis and represent the facts about a *** IoT framework proposes a co-channel interference avoidance mechanism and the ability to communicate higher activity data with minimal impact on the bandwidth requirements of the *** proposed IoT framework also benefits from machine learning based activity classification systems,with relatively high accuracy,which allow the communicated data to be translated into meaningful information.

关键词： Artificial intelligence healthcare obesity Internet of Things machine learning physical activity classification activity monitoring

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Antibacterial conductive self-healing hydrogel wound dressing with dual dynamic bonds promotes infected wound healing

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Bioactive Materials 2023年第12期30卷 129-141页

作者： Lipeng Qiao Yongping Liang Jueying Chen Ying Huang saeed A.Alsareii abdulrahman Manaa Alamri Farid A.Harraz Baolin Guo Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research College of StomatologyXi’an Jiaotong UniversityXi’an710049China Frontier Institute of Science and Technology State Key Laboratory for Mechanical Behavior of MaterialsXi’an Jiaotong UniversityXi’an710049China Department of Surgery College of MedicineNajran UniversityNajran11001Saudi Arabia Promising Centre for Sensors and Electronic Devices(PCSED) Advanced Materials and Nano-Research CentreNajran UniversityNajran11001Saudi Arabia Department of Orthopaedics The First Affiliated Hospital of Xi’an Jiaotong UniversityXi’an710061China

In clinical applications,there is a lack of wound dressings that combine efficient resistance to drug-resistant bacteria with good self-healing *** this study,a series of adhesive self-healing conductive antibacterial hydrogel dressings based on oxidized sodium alginate-grafted dopamine/carboxymethyl chitosan/Fe3+(OSD/CMC/Fe hydrogel)/polydopamine-encapsulated poly(thiophene-3-acetic acid)(OSD/CMC/Fe/PA hydrogel)were prepared for the repair of infected *** Schiff base and Fe3+coordination bonds of the hydrogel structure are dynamic bonds that can be repaired automatically after the hydrogel network is ***,the hydrogel exhibits self-healing properties,allowing the hydrogel dressing to adapt to complex wound *** OSD/CMC/Fe/PA hydrogel showed good conductivity and photothermal antibacterial properties under near-infrared(NIR)light *** addition,the hydrogels exhibit tunable rheological properties,suitable mechanical properties,antioxidant properties,tissue adhesion properties and hemostatic ***,all hydrogel dressings improved wound healing in the infected full-thickness defect skin wound repair test in *** wound size repaired by OSD/CMC/Fe/PA3 hydrogel+NIR was much smaller(12%)than the control group treated with Tegaderm™film after 14 *** conclusion,the hydrogels have high antibacterial efficiency,suitable conductivity,great self-healing properties,good biocompatibility,hemostasis and antioxidant properties,making them promising candidates for wound healing dressings for the treatment of infected skin wounds.

关键词： Dynamic crosslinking Self-healing Infected wound Photothermal antibacterial Wound healing

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Gastric antisecretory and antiulcer activity of bovine hemoglobin

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World Journal of Gastroenterology 2013年第21期19卷 3291-3299页

作者： abdulrahman K Al Asmari Saud Al Omani Ibrahim Elfaki Mohammad Tariq Ahmed Al Malki saeed Al Asmary Research Center Prince Sultan Military Medical CityRiyadh 11159Saudi Arabia Department of Surgery Prince Sultan Military Medical CityRiyadh 11159Saudi Arabia Department of Gastroenterology Prince Sultan Military Medical CityRiyadh 11159Saudi Arabia Family and Community Medicine Prince Sultan Military Medical CityRiyadh 11159Saudi Arabia

AIM: To investigate gastric antisecretory and gastro- protective activity of bovine hemoglobin (B-Hb) in rats. METHODS: Adult Albino-Wistar rats were divided into groups of 6 animals each. B-Hb in doses of 100, 300 and 900 mg/kg body weight was tested for gastric acid secretion and antiulcer activity. Gastric secretions were measured 6 h after pylorus ligation in rats pretreated with B-Hb. The acidity was measured by titrating gastric contents against 0.01 mol/L NaOH to pH 7. Indomethacin ulcers were produced by oral administration of 30 mg/kg bw in the rats pretreated with B-Hb one hour before indomethacin. Six hours after indomethacin stomach removed and ulcer index was recorded. Ethanol ulcer were produced by 1 mL of ethanol in the rats pretreated with B-Hb 30 min before the *** hour after ethanol stomach were cut open to score ulcers. Histological examination and analysis of gastric wall mucus, non-protein sulfhydryl groups (NP-SH), and myeloperoxidase (MPO) were carried in gastric tissue following ethanol administration. RESULTS: In control rats pylorus ligation for 6 h resulted in the accumulation of 8.1 ± 0.61 mL of gastric secretion. The treatment of the rats with 100, 300 and 900 mg/kg of B-Hb produced a significant decrease in the volume of gastric secretion 5.6 ± 0.63, 5.5 ± 0.75 and 4.7 ± 0.58 mL respectively as compared to the control group [analysis of variance (ANOVA) F = 4.77, P < 0.05]. The lesion area in the control group was found to be 22.4 ± 3.2 mm2 six hours after the administration of indomethacin. Treatment of rats with B-Hb at doses of 100 mg/kg (24.3 ± 3.29 mm2), 300 mg/kg (16.2 ± 1.45 mm2) and 900 mg/kg (12.6 ± 1.85 mm2) produced a dose dependent decreased the lesion scores (ANOVA F = 4.50, P < 0.05). The ulcer index following one hour after 1 mL ethanol was 7.1 ± 0.31. Pretreatment of rats with B-Hb at the doses of 100 mg/kg (2.5 ± 0.42), 300 mg/kg (2.1 ± 0.4) and 900 mg/kg (0.7 ± 0.21) significantly inhibited the formation of gas

关键词： Bovine hemoglobin Gastric ulcers Indomethacin Ethanol Ischemic injury Rats

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Phishing Websites Detection by Using Optimized Stacking Ensemble Model

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Computer Systems Science & Engineering 2022年第4期41卷 109-125页

作者： Zeyad Ghaleb Al-Mekhlafi Badiea Abdulkarem Mohammed Mohammed Al-Sarem Faisal saeed Tawfik Al-Hadhrami Mohammad T.Alshammari abdulrahman Alreshidi Talal Sarheed Alshammari College of Computer Science and Engineering University of Ha'ilHa'il81481KSA College of Computer Sciences and Engineering Hodeidah UniversityHodeidah967Yemen College of Computer Science and Engineering Taibah UniversityAl-Madinah42353KSA Nottingham Trent University MansfieldNG185BHUnited Kingdom

Phishing attacks are security attacks that do not affect only individuals’or organizations’websites but may affect Internet of Things(IoT)devices and *** environment is an exposed environment for such *** may use thingbots software for the dispersal of hidden junk emails that are not noticed by *** and deep learning and other methods were used to design detection methods for these ***,there is still a need to enhance detection *** of an ensemble classiﬁcation method for phishing website(PW)detection is proposed in this study.A Genetic Algo-rithm(GA)was used for the proposed method optimization by tuning several ensemble Machine Learning(ML)methods parameters,including Random Forest(RF),AdaBoost(AB),XGBoost(XGB),Bagging(BA),GradientBoost(GB),and LightGBM(LGBM).These were accomplished by ranking the optimized classi-ﬁers to pick out the best classiﬁers as a base for the proposed method.A PW data-set that is made up of 4898 PWs and 6157 legitimate websites(LWs)was used for this study's *** a result,detection accuracy was enhanced and reached 97.16 percent.

关键词： Phishing websites ensemble classiﬁers optimization methods genetic algorithm

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国际组织在支持冲突中的儿童方面的作用：也门案例的研究

国际组织在支持冲突中的儿童方面的作用：也门案例的研究

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作者： abdulrahman AHMED saeed FAOZ 厦门大学

学位级别：硕士

不同国家的一些国际组织正在努力打击侵犯儿童的行为,并给予他们足够的照顾,尤其是在冲突时期。为了履行自己的职责和工作,他们必须面对许多挑战,包括国际社会的不作为,捐款人资助活动的缺乏、政府的缺位以及对儿童权利认识的缺乏。研... 详细信息

不同国家的一些国际组织正在努力打击侵犯儿童的行为,并给予他们足够的照顾,尤其是在冲突时期。为了履行自己的职责和工作,他们必须面对许多挑战,包括国际社会的不作为,捐款人资助活动的缺乏、政府的缺位以及对儿童权利认识的缺乏。研究的题目是,国际组织对战区儿童的生计有积极贡献吗?为了回答这一问题,本研究旨在调查国际组织对战区儿童在营养、健康、教育和保护方面的基本生活需要的贡献。同时,本研究以发展中国家儿童的实际情况为例,以也门最近的危机为个案研究。研究问题通过强调讨论的中心四项决定来回答。在调查过有关国际组织工作的论证和事实之后,很明显,在各种各样的情况下,国际组织确实有通过记录和提供帮助的方式在行动。国际组织利用每一个机会要求国际社会以政治、甚至武力等方式来制止冲突。国际组织在战争中发挥积极和公正的作用,帮助受影响最严重的人民,特别是儿童,努力满足所有儿童的健康、食物、教育、保护和打击招募的基本需要。研究表明,国际组织在为战区儿童在处理和记录其实际情况和需要中有着积极的贡献,并成为他们在国际社会和世人面前发声和辩护的代表。同时,全球组织正在努力将儿童问题的意识带到世界各地,同时建立一些项目,以触及敏感和关键的地方拯救儿童的生命。

关键词：国际组织儿童权利武装冲突联合国儿童权利公约也门危机

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Impact of COVID-19 on endourology surgical practice in Saudi Arabia:A national multicenter study

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Asian Journal of Urology 2021年第4期8卷 416-423页

作者： Abdel Raheem Ali Yahya Ghazwani Ibrahim Alowidah Raed A.Azhar Mohammed Alomar Ahmed Alzahrani Ossamah Alsowayan Wissam Kamal abdulrahman Alalayet Ahmad Bugis Abdulaziz MAlthunayan MAlzahrani Tarek Kamel Fadaak Aiman Al-Solumany saeed Bin Hamri Urology Department King Saud Medical CityRiyadhSaudi Arabia Urology Department Faculty of MedicineTanta UniversityTantaEgypt Devision of Urology King Abdullah International Medical Research CenterCollege of MedicineKing Abdulaziz Medical CityKing Saud Bin Abdulaziz University for Health ScienceDivision of UrologyKing Abdulaziz Medical CityRiyadhSaudi Arabia Urology Department Faculty of MedicineKing Abdulaziz UniversityJeddahSaudi Arabia Department of Surgery College of MedicineKing Saud University and King Saud University Medical CityRiyadhSaudi Arabia Urology Department Price Sultan Military Medical CityRiyadhSaudi Arabia Urology Department King Fahd HospitalImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Urology Department King Fahd HospitalJeddahSaudi Arabia

Objective:To identify the impact of COVID-19 on endourology surgical practice in Saudi ***:A retrospective study of seven tertiary hospitals from January 2019 to April 2019,and from January 2020 to April 2020 was *** of urology outpatient department(OPD)visits and endourology procedures in the first third of 2020 were analyzed and compared with those in the first third of 2019,as well as,during the full curfew time,*** 2020 versus April ***:Number of OPD visits in the first third of 2020 and 2019 were 19499 and 26594,respectively(p75%,including OPD visits and elective endourology *** hospitals have changed their strategic preventive measures by increasing the rate of teleclinics and day surgeries.

关键词： COVID-19 Endourology Saudi Arabia

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Machine-Learning-Enabled Obesity Level Prediction Through Electronic Health Records

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Computer Systems Science & Engineering 2023年第9期46卷 3715-3728页

作者： saeed Ali Alsareii Muhammad Awais abdulrahman Manaa Alamri Mansour Yousef AlAsmari Muhammad Irfan Mohsin Raza Umer Manzoor Department of Surgery College of MedicineNajran UniversityNajran61441Saudi Arabia Department of Computer Science Edge Hill UniversitySt Helens RdOrmskirkL394QPUK Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Computer Science Aston UniversityBirminghamB47ETUK

Obesity is a critical health condition that severely affects an individual’s quality of life *** occurrence of obesity is strongly associated with extreme health conditions,such as cardiac diseases,diabetes,hypertension,and some types of ***,it is vital to avoid obesity and or reverse its *** healthy food habits and an active lifestyle can help to prevent *** this regard,artificial intelligence(AI)can play an important role in estimating health conditions and detecting obesity and its *** study aims to see obesity levels in adults by implementing AIenabled machine learning on a real-life *** dataset is in the form of electronic health records(EHR)containing data on several aspects of daily living,such as dietary habits,physical conditions,and lifestyle variables for various participants with different health conditions(underweight,normal,overweight,and obesity type I,II and III),expressed in terms of a variety of features or parameters,such as physical condition,food intake,lifestyle and mode of *** classifiers,i.e.,eXtreme gradient boosting classifier(XGB),support vector machine(SVM),and artificial neural network(ANN),are implemented to detect the status of several conditions,including obesity *** findings indicate that the proposed XGB-based system outperforms the existing obesity level estimation methods,achieving overall performance rates of 98.5%and 99.6%in the scenarios explored.

关键词： Artificial intelligence obesity machine learning extreme gradient boosting classifier support vector machine artificial neural network electronic health records physical activity obesity levels

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Framework to Classify and Analyze Social Media Content

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Social Networking 2018年第2期7卷 79-88页

作者： Hayfa Aleid Amjad abdulrahman Alkhalaf Aseel Helal Taemees Hanan saeed Almurished Khawla Abdullah Alharbi Nawal Hussein alanazi Computer Science Department College of Computer and Information Sciences King Saud University Riyadh KSA

In the last decade, a large amount of data has been published in different fields and can be used as a data source for research and study. However, identifying a specific type of data requires processing, which involves machine learning classifying techniques. To facilitate this, we propose a general framework that can be applied to any social media content to develop an intelligent system. The framework consists of three main parts: an interface, classifier and ana-lyzer. The analyzer uses media recognition to identify specific features. Then, the classifier uses these features and involves them in the classification process. The interface organizes the interaction between the system compo-nents. We tested the framework and developed a system to be applied to im-age-based social media networks (Instagram). The system was implemented as a mobile application (My Interests) that works as a recommendation and filtering system for Instagram users and reduces the time they spend on irre-levant information. It analyzes the images, categorizes them, identifies the in-teresting ones, and finally, reports the results. We used the Cloud Vision API as a tool to analyze the images and extract their features. Furthermore, we adapted support vector machine (SVM), a machine learning method, to classify images and to predict the preferred ones.

关键词： Framework Classification Social Media Network Support Vector Machine Machine Learning My Interest

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