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Chemical compounds as well as antioxidant and litholytic activities of Arbutus unedo L. leaves against calcium oxalate stones

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Journal of Integrative Medicine 2019年第6期17卷 430-437页

作者： rabie kachkoul Tarik Squalli Housseini Mohamed Mohim Radouane El Habbani Youssef Miyah Anissa Lahrichi Laboratory of Biochemistry Faculty of Medicine and PharmacyUniversity Sidi Mohammed Ben AbdellahBP 1893FezMorocco Faculty of Science and Technology University Sidi Mohammed Ben AbdellahBP 2202FezMorocco Laboratory of Molecular Bases in Human Pathology and Therapeutic Tools Faculty of Medicine and PharmacyUniversity Sidi Mohammed Ben AbdellahBP 1893FezMorocco Department of Nephrology University Hospital HassanⅡBP 1835AtlasFezMorocco

Objective: The present study aimed to quantify and identify the bioactive compounds of the Arbutus unedo L. leaves in order to evaluate both their antioxidant properties and litholytic activities against calcium oxalate ***: This survey was carried out using hydroalcoholic extract(***) and infusion(***) of A. unedo leaves. The quantification of phenolic compounds, flavonoids, flavonols and anthocyanins was done by spectrophotometric methods and identification of chemical components was performed by ultraperformance liquid chromatography with photodiode array and electrospray ionization tandem mass spectrometry. Antioxidant activity was measured using the 1,1-diphenyl-2-picrylhydrazyl(DPPH)method and by the ferric reducing/antioxidant power(FRAP) assay. Litholytic activity of *** and *** was studied using a special model that resembles circuitry of the urinary ***: *** showed greater antioxidant efficacy than ***(P < 0.05). Its higher efficiency was shown via the values of median inhibitory concentration, which was close to(76.14 ± 0.91) mg/mL for *** versus(202.64 ± 5.77) lg/mL for *** using the DPPH method, and(53.77 ± 0.81) lg/mL for *** versus(236.86 ± 31.90) lg/mL for ***, using FRAP method. *** exhibited significantly higher litholytic activity compared to ***(P < 0.05), with dissolution values of 31.03% ± 0.63% versus 14.55% ± 0.65%, ***: Overall, the results suggest that the A. unedo is rich in bioactive compounds, and possesses antioxidant and litholitic abilities that are worthy of further study.

关键词： Antioxidant activity Arbutus unedo L Litholytic activity Phenolic compounds Liquid chromatography Photodiode array Electrospray ionization tandem Mass spectrometry

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Deep Learning Recognition for Arabic Alphabet Sign Language RGB Dataset

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Journal of Computer and Communications 2024年第3期12卷 32-51页

作者： rabie El Kharoua Xiaoming Jiang School of Computer Science and Communication Engineering Jiangsu University Zhenjiang China

This paper introduces a Convolutional Neural Network (CNN) model for Arabic Sign Language (AASL) recognition, using the AASL dataset. Recognizing the fundamental importance of communication for the hearing-impaired, especially within the Arabic-speaking deaf community, the study emphasizes the critical role of sign language recognition systems. The proposed methodology achieves outstanding accuracy, with the CNN model reaching 99.9% accuracy on the training set and a validation accuracy of 97.4%. This study not only establishes a high-accuracy AASL recognition model but also provides insights into effective dropout strategies. The achieved high accuracy rates position the proposed model as a significant advancement in the field, holding promise for improved communication accessibility for the Arabic-speaking deaf community.

关键词： Convolutional Neural Network (CNN) AASL Dataset Dropout Deep Learning Communication Technology

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The Impact of Simulation Education on Self-Efficacy in Pre-Registration Nursing Students

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Open Journal of Nursing 2024年第1期14卷 51-76页

作者： Ahmed A. Hakami Aisha Hussin rabie Sultan Ghormallah M. Alzahrani Faisal Mohammed Alnakhilan Khalid Awaidhalharbi College of Nursing Umm Al-Qura University Makkah Saudi Arabia Al-Noor Specialist Hospital Makkah Saudi Arabia (MOH) Ministry of Health King Fahad Hospital Al Baha Saudi Arabia (MOH) Ministry of Health Eradah Complex Riyadh Saudi Arabia King Salman Medical City Al Madinah Saudi Arabia

This literature review primarily aims to explore and synthesise the previous studies in simulation education research conducted over the past five years related to the effects of simulation training on the self-efficacy of undergraduate pre-registration nursing students. The second aim of this study is to explore additional outcome variables that were examined in the previous studies. Five electronic databases were searched systematically. These databases were MEDLINE, CINAHL Plus, Scopus, Embase and PsycINFO. The PICO model was employed to identify the search terms, with a thesaurus being used to provide synonyms. Reference lists of relevant articles were examined and hand searches of journals were also undertaken. The quality of each study was assessed using the Simulation Research Rubric (SRR). A total of 11 studies were included. All studies explored the impact of simulation education on undergraduate pre-registration nursing. Six studies explored nursing students’ competence and performance and two papers examined their critical thinking. Problem solving, learning motivation, communication skills and knowledge acquisition were examined once. The majority of studies indicated that simulation training has a positive impact on pre-registration nursing students’ self-efficacy and other outcome variables. Furthermore, the study results indicate that simulation training is more dependable than traditional training, and students were extremely satisfied with the simulation training. However, most of the studies included in this review had several gaps, including study design, sample size and dissimilarities between the scales used. Further research with large samples, reliable and valid instruments, and outcomes measures (such as critical thinking and transferability of skills) is required to provide better insight into the effectiveness of simulation in undergraduate nursing education. .

关键词： Simulation Education Self-Efficacy Pre-Registration Nursing Students Clinical Skills Undergraduate Nursing Education Teaching Techniques Decision-Making

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Optimizing Grey Wolf Optimization: A Novel Agents’ Positions Updating Technique for Enhanced Efficiency and Performance

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Open Journal of Optimization 2024年第1期13卷 21-30页

作者： Mahmoud Khatab Mohamed El-Gamel Ahmed I. Saleh Asmaa H. rabie Atallah El-Shenawy Department of Mathematics and Engineering Physics Faculty of Engineering Mansoura University Mansoura Egypt Department of Computers and Control Faculty of Engineering Mansoura University Mansoura Egypt Department of Mathematics Faculty of Science New Mansoura University Mansoura Egypt

Grey Wolf Optimization (GWO) is a nature-inspired metaheuristic algorithm that has gained popularity for solving optimization problems. In GWO, the success of the algorithm heavily relies on the efficient updating of the agents’ positions relative to the leader wolves. In this paper, we provide a brief overview of the Grey Wolf Optimization technique and its significance in solving complex optimization problems. Building upon the foundation of GWO, we introduce a novel technique for updating agents’ positions, which aims to enhance the algorithm’s effectiveness and efficiency. To evaluate the performance of our proposed approach, we conduct comprehensive experiments and compare the results with the original Grey Wolf Optimization technique. Our comparative analysis demonstrates that the proposed technique achieves superior optimization outcomes. These findings underscore the potential of our approach in addressing optimization challenges effectively and efficiently, making it a valuable contribution to the field of optimization algorithms.

关键词： Grey Wolf Optimization (GWO) Metaheuristic Algorithm Optimization Problems Agents’ Positions Leader Wolves Optimal Fitness Values Optimization Challenges

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Efficiency of Bio-Fertilizing as One of the Natural Alternatives to Improve the Growth of Khaya senegalensis and Swietenia mahagoni Trees and for Sustainability

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Agricultural Sciences 2024年第2期15卷 292-310页

作者： Safaa A. S. Ghorab Nashwa H. Mohamed Nader A. El-Shanhorey Nabal S. El-Shahat Amr R. rabie Forestry and Timber Trees Department Horticulture Research Institute Agricultural Research Center Ismailia Egypt Forestry and Timber Trees Department Horticulture Research Institute Agricultural Research Center Alexandria Egypt Botanical Gardens Department Horticulture Research Institute Agricultural Research Center Alexandria Egypt Forestry and Timber Trees Department Horticulture Research Institute Agricultural Research Center Giza Egypt

A field experiment was carried out at Ismailia Research Station, Ismailia Governorate from 2020-2022 to improve the growth of Khaya senegalensis and Swietenia mahagoni by using a combination of mineral fertilizer (NPK) and biological fertilizer (Azotobacter chroococcum, Bacillus megatherium, and Bacillus circulant) as recommended dose under new sandy soils conditions. Split plot designed with four treatments (Control, (50% Mineral fertilizer (M.) + 50% Biological fertilizer (Bio.)), 100% M. and 100% Bio.) of each species. Vegetative growth, leaf area, tree biomass, stored carbon, basal area, tree volume, and in the soil both of microbial account and mineral content were determined. The experimental results showed no significant differences between studied species among the most studied parameters except for Khaya senegalensis which gave the highest significant difference in root biomass and below-stored carbon than Swietenia mahagoni. Evidently, the highest significant growth parameters were 100% mineral fertilizer followed by (50% M. + 50% Bio.) as compared with control. No significant difference between 100% M. and (50% M. + 50% Bio.) of shoot dry biomass (15.19 and 12.02 kg, respectively) and above-stored carbon (0.28 and 0.22 Mt, respectively). Microbial account and mineral content in soil were improved after cultivation of tree species compared to before planting and control, especially with 50% mineral fertilizer and 50% bio-fertilizer treatment. In conclusion, a treatment containing 50% mineral fertilizer and 50% bio-fertilizer has led to the ideal Khaya senegalensis and Swietenia mahagoni growth in sandy soil for cheaper and sustainable.

关键词： Khaya senegalensis Swietenia mahagoni Mineral Fertilizer Bio-Fertilizer Growth Parameters Tree Biomass Stored Carbon Sustainable

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Future of the current anticoronaviral agents: A viewpoint on thevalidation for the next COVIDs and pandemics

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BIOCELL 2023年第10期47卷 2133-2139页

作者： AMGAD M.rabie Drug Discovery&Clinical Research Department Dikernis General Hospital(DGH)Dikernis35744Egypt

Despite the global decline in the severity of the coronavirus disease 2019 (COVID-19) cases, the disease stillrepresents a major concern to the relevant scientific and medical communities. The primary concern of drug scientists,virologists, and other concerned specialists in this respect is to find ready-to-use suitable and potent anticoronaviraltherapies that are broadly effective against the different species/strains of the coronaviruses in general, not only againstthe current and previous coronaviruses (e.g., the recently-appeared severe acute respiratory syndrome coronavirus 2“SARS-CoV-2”), i.e., effective antiviral agents for treatment and/or prophylaxis of any coronaviral infections, includingthose of the coming ones from the next species and strains (if any). As an expert in this field, I tried, in this up-to-dateperspective “viewpoint” article, to evaluate the suitability and applicability of using the currently-availableanticoronaviral agents for the next coronavirus diseases (COVIDs) and coronaviral pandemics, highlighting the mostimportant general guidelines that should be considered in the next pandemics from the therapeutic points of view.

关键词： SARS-CoV-2/COVID-19 Spike(S)protein/Main protease(Mpro)/RNA-dependent RNA polymerase(RdRp) General anticoronaviral drug Specific anti-COVID-19 medication Molnupiravir/Nirmatrelvir/Riboprine/Ensitrelvir Drug design and development

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Synthesis and Scheduling of Optimal Batch Water-recycle Networks

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Chinese Journal of Chemical Engineering 2008年第3期16卷 474-479页

作者： Arwa H. rabie Mahmoud M. El-Halwagi Department of Chemical Engineering Texas A＆M university College Station TX 77845 USA

This work develops an optimization-based methodology for the design and scheduling of batch water recycle networks. This task requires the identification of network configuration, fresh-water usage, recycle assignments from sources to sinks, wastewater discharge, and a scheduling scheme. A new source-tank-sink representation is developed to allow for storage and dispatch tanks. The problem is solved in stages by first eliminating scheduling constraints and determining minimum usage of fresh water and wastewater discharge. An iterative procedure is formulated to minimize the total annual cost of the system by trading off capital versus operating costs. The work overcomes limitations in previous literature work including restricted recycle within the same cycle, lumped balances that may not lead to feasible solutions, and unrealistic objective functions. A case study is solved to illustrate the usefulness of the devised procedure.

关键词： process integration process synthesis mass integration batch networks water recycle scheduling

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Optimization of the Placement and Size of Photovoltaic Source

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Computers, Materials & Continua 2023年第1期74卷 1855-1870页

作者： Maawiya Ould Sidi Mustafa Mosbah rabie Zine RT-M2A Laboratory Mathematics DepartmentCollege of ScienceJouf UniversitySakakaSaudi Arabia University of Ghardaia LACoSERE LaboratoryUniversity LaghouatAlgeria School of Science and Engineering Al Akhawayn University in IfraneMorocco

This paper presents a new optimization study of the placement and size of a photovoltaic source(PVS)in a distribution grid,based on annual records of meteorological parameters(irradiance,temperature).Based on the recorded data,the production output as well as the daily average power(24-h vector)of the PVS is extracted over the *** a power vector is available,it can be used as an input when searching for the optimal size of the *** allows to take into account the constraint of the variation of the power generated by this source considering the variation of the power consumed by the electrical loads during the whole day.A multi-objective fitness function has been *** latter minimizes the active losses and maximizes the voltage stability index during the day,while considering the constraints of the system,that is,the security,technical,geographical,and meteorological *** problem was solved using the Non-dominated Sorting Genetic Algorithm NSGA-II optimization technique under MATLAB *** was applied to the distribution network of Ghardaïa of 59 nodes.

关键词： Electric distribution network intermittent generation photovoltaic source multi-objective optimization active losses profile voltage stability index profile

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Calculation and application of partition coefficients of light hydrocarbons in oil-based mud system

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Petroleum Exploration and Development 2022年第4期49卷 906-918页

作者： BEN ABDALLAH Bacem rabie AHMADI Riadh LYNEN Frederic REKHISS Farhat Laboratoire LR3E.Ecole Nationale d’Ingénieurs de Sfax Rte Soukra km 3SfaxTunisia Separation Science Group Department of Organic and Macromolecular ChemistryGhent UniversityKrijgslaan 281-S4B-9000 GhentBelgium

To find out the relationship between the oil-based mud,the formation fluid and the extracted gas,we use a thermodynamic approach based on static headspace gas chromatography technique to calculate the partition coefficients of 47 kinds of light hydrocarbons compounds between nC5 and nC8 in two kinds of oil-based mud-air systems,and reconstruct the original formation fluid composition under thermodynamic *** oil-based drilling mud has little effect on the formation fluid compositions in the range of nC5-nC8(less than 1%for low-toxicity oil-based mud and less than 10%for oil-based mud).For most light hydrocarbon compositions,the partition coefficients obtained by vapor phase calibration and the direct quantitative methods have errors of less than 10%,and the partition coefficients obtained by direct quantitative method are more *** reconstructed compositions of the two kinds of crude oil have match degrees of 91%and 89%with their real compositions,proving the feasibility and accuracy of reconstructing the composition of original formation fluid by using partition coefficients of light hydrocarbon compositions between nC5 and nC8.

关键词： oil-based mud drilling mud gas light hydrocarbon compositions partition coefficients reservoir fluid

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An IoT Based Secure Patient Health Monitoring System

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Computers, Materials & Continua 2022年第2期70卷 3637-3652页

作者： Kusum Yadav Ali Alharbi Anurag Jain rabie A.Ramadan College of Computer Science and Engineering University of Ha’ilHa’ilKingdom of Saudi Arabia Virtualization Department School of Computer ScienceUniversity of Petroleum and Energy StudiesDehradun-248007UttarakhandIndia

Internet of things(IoT)field has emerged due to the rapid growth of artificial intelligence and communication *** use of IoT technology in modern healthcare environments is convenient for doctors and patients as it can be used in real-time monitoring of patients,proper administration of patient information,and healthcare ***,the usage of IoT in the healthcare domain will become a nightmare if patient information is not securely maintainedwhile transferring over an insecure network or storing at the administrator *** this manuscript,the authors have developed a secure IoT healthcare monitoring system using the Blockchainbased XOR Elliptic Curve Cryptography(BC-XORECC)technique to avoid various vulnerable ***,thework has established an authentication process for patient details by generating tokens,keys,and tags using Length Ceaser Cipher-based PearsonHashingAlgorithm(LCC-PHA),EllipticCurve Cryptography(ECC),and Fishers Yates Shuffled Based Adelson-Velskii and Landis(FYS-AVL)*** authentications prevent unauthorized users from accessing or misuse the *** that,a secure data transfer is performed using BC-XORECC,which acts faster by maintaining high data privacy and blocking the path for the ***,the Linear Spline Kernel-Based Recurrent Neural Network(LSK-RNN)classification monitors the patient’s health *** whole developed framework brings out a secure data transfer without data loss or data breaches and remains efficient for health care monitoring via *** analysis shows that the proposed framework achieves a faster encryption and decryption time,classifies the patient’s health status with an accuracy of 89%,and remains robust comparedwith the existing state-of-the-art method.

关键词： Internet of things blockchain-based XOR elliptic curve cryptography linear spline kernel-based recurrent neural network health care monitoring length Ceaser cipher-based Pearson hashing algorithm elliptic curve cryptography fishers yates shuffled based Adelson-Velskii and Landis tree

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