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Prediction of Geopolymer Concrete Compressive Strength Using Convolutional Neural Networks

Computer Modeling in Engineering & Sciences 2024年第5期139卷 1455-1486页

作者： Kolli Ramujee Pooja Sadula Golla Madhu Sandeep Kautish Abdulaziz S.Almazyad Guojiang Xiong ali Wagdy mohamed Department of Civil Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Computer Science LBEF Campus(Asia Pacific University of Technology&InnovationMalaysia)Kathmandu44600Nepal Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical EngineeringGuizhou UniversityGuiyang550025China Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmmanJordan

Geopolymer concrete emerges as a promising avenue for sustainable development and offers an effective solution to environmental *** attributes as a non-toxic,low-carbon,and economical substitute for conventional cement concrete,coupled with its elevated compressive strength and reduced shrinkage properties,position it as a pivotal material for diverse applications spanning from architectural structures to transportation *** this context,this study sets out the task of using machine learning(ML)algorithms to increase the accuracy and interpretability of predicting the compressive strength of geopolymer concrete in the civil engineering *** achieve this goal,a new approach using convolutional neural networks(CNNs)has been *** study focuses on creating a comprehensive dataset consisting of compositional and strength parameters of 162 geopolymer concrete mixes,all containing Class F fly *** selection of optimal input parameters is guided by two distinct *** first criterion leverages insights garnered from previous research on the influence of individual features on compressive *** second criterion scrutinizes the impact of these features within the model’s predictive *** to enhancing the CNN model’s performance is the meticulous determination of the optimal *** a systematic trial-and-error process,the study ascertains the ideal number of epochs for data division and the optimal value of k for k-fold cross-validation—a technique vital to the model’s *** model’s predictive prowess is rigorously assessed via a suite of performance metrics and comprehensive score ***,the model’s adaptability is gauged by integrating a secondary dataset into its predictive framework,facilitating a comparative evaluation against conventional prediction *** unravel the intricacies of the CNN model’s learning trajectory,a loss plot is deployed to elucidate its learning rat

关键词： Class F fly ash compressive strength geopolymer concrete prediction deep learning convolutional neural network

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Knock-out of BnHva22c reduces the susceptibility of Brassica napus to infection with the fungal pathogen Verticillium longisporum

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The Crop Journal 2024年第2期12卷 503-514页

作者： Wanzhi Ye Roxana Hossain Michael Prbsting Abdallah Abdelmegid mohamed ali Lingyue Han Ying Miao Steffen Rietz Daguang Cai Dirk Schenke Department of Molecular Phytopathology and Biotechnology Institute of PhytopathologyChristian-Albrechts-University of KielKielGermany Institut für Zuckerrübenforschung GöttingenGermany Plant Pathology Department Faculty of Agriculture and Natural ResourcesAswan UniversityAswanEgypt Fujian Provincial Key Laboratory of Plant Functional Biology College of Life SciencesFujian Agriculture and Forestry UniversityFuzhou 350002FujianChina Hohenlieth-Hof NPZ Innovation GmbHHoltseeGermany

Verticillium longisporum(Vl43)is a soilborne hemibiotrophic fungal pathogen causing stem striping on oilseed rape(OSR)and severe yield *** for resistant varieties is the most promising approach to control this ***,we report the identification of Hva22c as a novel susceptibility factor and its potential for improving OSR ***22c is a member of the Hva22 gene family,originally described for barley(Hordeum vulgare).Several Hva22 members have been located at the endoplasmic ***22c is up-regulated in response to Vl43 in both Arabidopsis and *** demonstrate that knock-out of Hva22c in OSR by CRISPR/Cas9 and its homolog in Arabidopsis by T-DNA insertion reduced plants’susceptibility to Vl43 infection and impaired the development of disease *** understand the underlying mechanism,we analysed transcriptomic data from infected and non-infected roots of hva22c knock-out and wild type *** identified a homozygous mutant with frame-shifts in all four BnHva22c loci displaying a vastly altered transcriptional landscape at 6 ***,a large set of genes was suppressed under mock conditions including genes related to the endomembrane *** the up-regulated genes we found several defense-related and phytohormone-responsive genes when comparing mutant to the wild *** results demonstrate that Hva22c is functionally required for a fully compatible plant-fungus *** loss of function reduces plant susceptibility,most likely due to endoplasmatic reticulum and Golgi dysfunction accompanied by additionally activated defense *** findings can help improve OSR resistance to *** infection.

关键词： Hva22c Susceptibility factor CRISPR/Cas9 Brassica napus Arabidopsis Verticillium longisporum Resistance breeding

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Insights into the anorexic mechanism of Khat:an integrated in vivo,ex vivo,and in silico investigations

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Traditional Medicine Research 2024年第10期9卷 36-51页

作者： Ahmed ali Jerah Manal mohamed Elhassan Taha Abdullah Farasani Sivakumar Sivagurunathan Moni Emad Sayed Shaheen Andleeb Khan Ibrahim Abdo Khardali Magbool Oraiby Heyam mohamed ali Sidahmed Siddig Ibrahim Abdelwahab Department of Medical Laboratory Technology College of Applied Medical SciencesJazan UniversityJazan 45142Saudi Arabia Health Research Centre Jazan UniversityJazan 45142Saudi Arabia Department of Pharmaceutics College of PharmacyJazan UniversityJazan 45142Saudi Arabia Department of Biosciences Faculty of ScienceIntegral UniversityLucknow 226026India Poison Control and Medical Forensic Chemistry Center General Directorate of Health AffairsJazan 45142Saudi Arabia Department of Pharmaceutical Chemistry Faculty of PharmacyAl-Neelain UniversityKhartoum 16458Sudan

Background:Chewing Khat(Catha edulis)releases cathine and cathinone,which may reduce appetite via an unknown *** study investigated the peripheral and central effects of fresh leaves and buds of Catha edulis water extract(CEWE)on appetite biomarkers,gene expression,and body weight,using in vivo,ex vivo,and in silico ***:Rats of both sexes were orally administered CEWE at different doses and durations in three different *** chromatography-mass spectroscopy(LC-MS)-MS was used to detect cathinone and cathine in the murine *** effect of Khat on serotonin receptors was studied in isolated rat fundus *** of the two Khat ligands was performed on G(The 5-hydroxytryptamine-type 2C receptor(5-HT2C)in an agonist-bound active conformation)and H(5-HT2C in an antagonist-bound inactive conformation)proteins to determine which ligands are most likely to act as agonists or ***:Significant differences(P0.05).The expression of the ghrelin and leptin genes was also unaffected,but the expression of the 5-hydroxytryptamine(5-HT)gene decreased(P<0.05)with CEWE *** antagonizes 5-HT receptors in isolated rat fundus *** findings indicated that the khat ligands bound to 5-HT2C *** and cathinone levels in rat plasma were ***:Khat extract may suppress appetite by antagonizing the 5-HT *** research is required to understand its mechanism and potential applications.

关键词： Catha edulis appetite leptin ghrelin 5-hydroxytryptamine molecular docking

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Pyronaridine combined with diminazene aceturate inhibits Babesia in vitro and in vivo

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Asian Pacific Journal of Tropical Biomedicine 2024年第3期14卷 93-99页

作者： Shimaa Abd El-Salam El-Sayed mohamed Z.Sayed-Ahmed Shaimaa Ahmed Awad ali Nourah Alsadaan Nawazish Alam Mahmoud S.Alkhoudary Ikuo Igarashi mohamed Abdo Rizk National Research Center for Protozoan Diseases Obihiro University of Agriculture and Veterinary MedicineInada-ChoObihiroHokkaido 080-8555Japan Department of Biochemistry and Chemistry of Nutrition Faculty of Veterinary MedicineMansoura UniversityMansoura 35516Egypt Department of Clinical Pharmacy College of PharmacyJazan UniversityJazan 45142Saudi Arabia Medical-Surgical Department College of NursingJouf UniversitySakaka 72388Saudi Arabia Critical Care and Emergency Nursing Faculty of NursingMansoura UniversityEgypt College of Nursing Jouf UniversitySakaka 72388Saudi Arabia Faculty of Pharmacy Mansoura UniversityMansoura 35516DakahliaEgypt Department of Internal Medicine and Infectious Diseases Faculty of Veterinary MedicineMansoura UniversityMansoura 35516Egypt

Objective:To evaluate the combination therapy of pyronaridine tetraphosphate and diminazene aceturate against Babesia in vitro and in ***:Bioinformatic analysis was performed using atom pair *** in vitro combination test was performed against Babesia bovis and Theileria ***,the in vivo chemotherapeutic efficacy of pyronaridine tetraphosphate in combination with diminazene aceturate was investigated against the growth of Babesia microti in mice using a fluorescence inhibitory ***:Pyronaridine tetraphosphate and diminazene aceturate exhibited nearly similar molecular *** in vitro combination of pyronaridine tetraphosphate and diminazene aceturate was synergistic on Babesia bovis and additive on Theileria *** addition,5 mg/kg pyronaridine tetraphosphate combined with 10 mg/kg diminazene aceturate inhibited Babesia microti growth significantly compared with those observed after treatment with 25 mg/kg diminazene aceturate alone from day 6 post treatment to day 12 post *** combination therapy also normalized the hematological parameters of infected ***:An oral dose of pyronaridine tetraphosphate combined with a subcutaneous dose of diminazene aceturate inhibits Babesia in vitro and in mice,suggesting it might be a new paradigm for the treatment of babesiosis.

关键词： Babesia Pyronaridine tetraphosphate Diminazene aceturate Babesiosis Theileria

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BHJO: A Novel Hybrid Metaheuristic Algorithm Combining the Beluga Whale, Honey Badger, and Jellyfish Search Optimizers for Solving Engineering Design Problems

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 219-265页

作者： Farouq Zitouni Saad Harous Abdulaziz S.Almazyad ali Wagdy mohamed Guojiang Xiong Fatima Zohra Khechiba Khadidja Â Kherchouche Department of Computer Science and Information Technology Kasdi Merbah UniversityP.O.Box 30000OuarglaAlgeria Department of Computer Science College of Computing and InformaticsUniversity of SharjahP.O.Box 27272SharjahUnited Arab Emirates Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical EngineeringGuizhou UniversityGuiyang550025China

Hybridizing metaheuristic algorithms involves synergistically combining different optimization techniques to effectively address complex and challenging optimization *** approach aims to leverage the strengths of multiple algorithms,enhancing solution quality,convergence speed,and robustness,thereby offering a more versatile and efficient means of solving intricate real-world optimization *** this paper,we introduce a hybrid algorithm that amalgamates three distinct metaheuristics:the Beluga Whale Optimization(BWO),the Honey Badger Algorithm(HBA),and the Jellyfish Search(JS)*** proposed hybrid algorithm will be referred to as *** this fusion,the BHJO algorithm aims to leverage the strengths of each *** this hybridization,we thoroughly examined the exploration and exploitation capabilities of the BWO,HBA,and JS metaheuristics,as well as their ability to strike a balance between exploration and *** meticulous analysis allowed us to identify the pros and cons of each algorithm,enabling us to combine them in a novel hybrid approach that capitalizes on their respective strengths for enhanced optimization *** addition,the BHJO algorithm incorporates Opposition-Based Learning(OBL)to harness the advantages offered by this technique,leveraging its diverse exploration,accelerated convergence,and improved solution quality to enhance the overall performance and effectiveness of the hybrid ***,the performance of the BHJO algorithm was evaluated across a range of both unconstrained and constrained optimization problems,providing a comprehensive assessment of its efficacy and applicability in diverse problem ***,the BHJO algorithm was subjected to a comparative analysis with several renowned algorithms,where mean and standard deviation values were utilized as evaluation *** rigorous comparison aimed to assess the performance of the BHJOalgorithmabout its counterparts,shedd

关键词： Global optimization hybridization of metaheuristics beluga whale optimization honey badger algorithm jellyfish search optimizer chaotic maps opposition-based learning

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Incident Detection Based on Differential Analysis

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Journal of Information Security 2024年第3期15卷 378-409页

作者： Mohammed ali Elseddig mohamed Mejri Computer Science and Information Technology Sudan University of Science and Technology Khartoum Sudan Computer Science Department Laval University Quebec Canada

Internet services and web-based applications play pivotal roles in various sensitive domains, encompassing e-commerce, e-learning, e-healthcare, and e-payment. However, safeguarding these services poses a significant challenge, as the need for robust security measures becomes increasingly imperative. This paper presented an innovative method based on differential analyses to detect abrupt changes in network traffic characteristics. The core concept revolves around identifying abrupt alterations in certain characteristics such as input/output volume, the number of TCP connections, or DNS queries—within the analyzed traffic. Initially, the traffic is segmented into distinct sequences of slices, followed by quantifying specific characteristics for each slice. Subsequently, the distance between successive values of these measured characteristics is computed and clustered to detect sudden changes. To accomplish its objectives, the approach combined several techniques, including propositional logic, distance metrics (e.g., Kullback-Leibler Divergence), and clustering algorithms (e.g., K-means). When applied to two distinct datasets, the proposed approach demonstrates exceptional performance, achieving detection rates of up to 100%.

关键词： IDS SOC SIEM KL-Divergence K-Mean Clustering Algorithms Elbow Method

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Fuzzy Difference Equations in Diagnoses of Glaucoma from Retinal Images Using Deep Learning

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 801-816页

作者： D.Dorathy Prema Kavitha L.Francis Raj Sandeep Kautish Abdulaziz S.Almazyad Karam M.Sallam ali Wagdy mohamed Department of Mathematics Voorhees CollegeVelloreTamil NaduIndia Chandigarh Group of Colleges JhanjeriMohaliPunjabIndia Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Faculty of Science and Technology School of IT and SystemsUniversity of CanberraCanberraAustralia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan

The intuitive fuzzy set has found important application in decision-making and machine *** enrich and utilize the intuitive fuzzy set,this study designed and developed a deep neural network-based glaucoma eye detection using fuzzy difference equations in the domain where the retinal images *** image detections are categorized as normal eye recognition,suspected glaucomatous eye recognition,and glaucomatous eye *** degrees associated with weighted values are calculated to determine the level of concentration between the fuzzy partition and the retinal *** proposed model was used to diagnose glaucoma using retinal images and involved utilizing the Convolutional Neural Network(CNN)and deep learning to identify the fuzzy weighted regularization between *** methodology was used to clarify the input images and make them adequate for the process of glaucoma *** objective of this study was to propose a novel approach to the early diagnosis of glaucoma using the Fuzzy Expert System(FES)and Fuzzy differential equation(FDE).The intensities of the different regions in the images and their respective peak levels were *** the peak regions were identified,the recurrence relationships among those peaks were then *** partitioning was done due to varying degrees of similar and dissimilar concentrations in the *** and dissimilar concentration levels and spatial frequency generated a threshold image from the combined fuzzy matrix and *** distinguished between a normal and abnormal eye condition,thus detecting patients with glaucomatous eyes.

关键词： Convolutional Neural Network(CNN) glaucomatous eyes fuzzy difference equation intuitive fuzzy sets image segmentation retinal images

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Ultralong hydroxyapatite-based forward osmosis membrane for freshwater generation

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Frontiers of Chemical Science and Engineering 2024年第9期18卷 37-49页

作者： mohamed Gamal Gomaa Hamdy Maamoun Abdel-Ghafar Francesco Galiano Francesca Russo Alberto Figoli El-Sayed ali Abdel-Aal Abdel-Hakim Taha Kandil Bahaa Ahmed Salah Central Metallurgical Research and Development Institute(CMRDI) 11421 CairoEgypt Chemistry Department Faculty of ScienceHelwan University11795 CairoEgypt Institute on Membrane Technology(CNR-ITM) 87036 RendeItaly

Increasing global water shortages are accelerating the pace of membrane manufacturing,which generates many environmentally harmful *** challenges need a radical rethink of developing innovative membranes that can address freshwater production without generating environmentally harmful *** work utilized the synthesized ultra-long hydroxyapatite(UHA)by the solvothermal method using the green solvent oleic acid in preparing UHA-based forward osmosis *** membranes were developed using different loading ratios of graphene oxide(GO)by vacuum-assisted filtration *** prepared GO/UHA membranes were identified using X-ray diffraction,scanning electron microscope,Fourier-transform infrared spectroscopy,and X-ray photoelectron *** contact angle and pore size distribution were determined for the obtained GO/UHA *** obtained hierarchical porous structure in the prepared membranes with interconnected channels results in a stable water flux with reverse salt *** best water flux rate of 42±2 L·m^(–2)·h^(–1)was achieved using the 50 mg GO/UHA membrane,which is 3.3 times higher than the pristine membrane,and a reverse salt flux of 67 g·m^(-2)·h^(–1).The obtained results showed a promising capability of a new generation of sustainable inorganic-based membranes that can be utilized in freshwater generation by energy-efficient techniques such as forward osmosis.

关键词： forward osmosis ultra-long hydroxyapatite graphene oxide inorganic-based membrane

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Standardization of meibomian gland dysfunction in an Egyptian population sample using a non-contact meibography technique

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International Journal of Ophthalmology(English edition) 2024年第1期17卷 61-65页

作者： Ahmed mohamed Karara Zeinab El-Sanabary Mostafa ali El-Helw Tamer Ahmed Macky Mohamad Amr Salah Eddin Abdelhakim Department of Ophthalmology Kasr Al-Ainy HospitalCairo UniversityCairo 11431Egypt

AIM:To develop normative data for meibomian gland dysfunction(MGD)parameters,using non-contact meibography technique of Sirius Costruzione Strumenti Oftalmici(CSO)machine,in an Egyptian population ***:Observational,cross-sectional,analytic study,in which 104 Egyptian volunteers were *** upper lids were examined,using“Sirius CSO”*** eyelid was given a degree of meibomian gland loss(MGL),which was calculated by the software of the ***:Mean percentage MGL in right upper lid was of 30.9%±12.6%,and that of left upper lid was 32.6%±11.8%.Thirty-four volunteers(32.7%)had first-degree MGL in their right upper lid,and 67.3%had second-degree *** volunteer(1%)had zero-degree MGL in left upper lid,28(26.9%)had first-degree loss,and 75(72.1%)had second-degree *** of MGL in right upper eyelid was not related to age,but degree of MGL in left upper eyelid increased with *** was statistically significant difference between both genders for degree of MGL in right eye(P=0.036)and in left eye(P=0.027).CONCLUSION:Noncontact meibography is a useful non-invasive tool for diagnosing *** is diagnosed in 100%of apparently normal individuals;26.9%-32.7%of which have first-degree MGL,and 67.3%-72.1%have second-degree MGL.

关键词： Egyptian population meibomian gland dysfunction non-contact meibography standardization upper lid

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Neurosurgical and pharmacological management of dystonia

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World Journal of Psychiatry 2024年第5期14卷 624-634页

作者： ali Ahmed mohamed Steven Faragalla Asad Khan Garrett Flynn Gersham Rainone Phillip Mitchell Johansen Brandon Lucke-Wold Charles E Schmidt College of Medicine Florida Atlantic UniversityBoca RatonFL 33431United States Department of Neurosurgery and Brain Repair University of South FloridaTampaFL 33606United States Department of Neurosurgery University of FloridaGainesvilleFL 32611United States

Dystonia characterizes a group of neurological movement disorders characterized by abnormal muscle movements,often with repetitive or sustained contraction resulting in abnormal *** types of dystonia present based on the affected body regions and play a prominent role in determining the potential efficacy of a given *** most patients afflicted with these disorders,an exact cause is rarely identified,so treatment mainly focuses on symptomatic *** agents,such as oral anticholinergic administration and botulinum toxin injection,play a major role in the initial treatment of *** more severe and/or refractory cases,focal areas for neurosurgical intervention are identified and targeted to improve quality of *** brain stimulation(DBS)targets these anatomical locations to minimize dystonia *** ablation procedures and peripheral denervation surgeries also offer potential treatment to patients who do not respond to *** management options grant providers and patients the ability to weigh the benefits and risks for each individual patient *** review article explores these pharmacological and neurosurgical management modalities for dystonia,providing a comprehensive assessment of each of their benefits and shortcomings.

关键词： Botulinum toxin Magnetic resonance imaging-guided focused ultrasound Surgical ablation Deep brain stimulation Peripheral denervation surgery Antipsychotics

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