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Biological Control of Root-Knot Nematode Meloidogyne incognita in Psoralea corylifolia Plant by Enhancing the Biocontrol Efficacy of Trichoderma harzianum Using Press Mud

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Phyton-International Journal of Experimental Botany 2022年第8期91卷 1757-1777页

作者： Yasar Nishat Mohammad Danish heba I.Mohamed Hisamuddin Shaikh Abeer Elhakem Section of Plant Pathology and Nematology Department of BotanyAligarh Muslim UniversityAligarh202002India Department of Biological and geological Sciences Faculty of EducationAin Shams UniversityCairo11341Egypt Department of Biology College of Science and Humanities in Al-KharjPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia

Meloidogyne incognita is a plant pathogen causing root-knot disease and loss of crop *** present study aimed to use Trichoderma harzianum as a biocontrol agent against plant-parasitic nematodes and used press mud,which is a solid waste by-product of sugarcane,as a biocontrol agent and ***,the combined application of *** and press mud may enhance nematode control and plant *** analysis of press mud using scanning electron microscopy(SEM)integrated with an Energy Dispersive X-ray(EDX)analyzer revealed the presence of different elements such as C,O,Mg,Si,P,K,Ca,Cu and *** addition,a greenhouse study was conducted to investigate the combined effects of press mud and *** on *** reproduction and growth and the biochemical features of Psoralea *** results showed that plant length,dry biomass,leaf area,the number of seeds per plant,chlorophyll a,chl b,carotenoid content,nitrate reductase,carbonic anhydrase,and nitrogen content were significantly increased(P≤0.05)in the T2 plants(plants were treated with 100 g of press mud+50 mL *** before one week of *** inoculation),over inoculated plants(IC).Antioxidant enzyme activity of ascorbate peroxidase(APX),catalase(CAT),peroxidase(POD),and superoxide dismutase(SOD)in the foliage of *** was significantly increased when plants were treated with press mud+***.A significant reduction in the number of egg masses,nematode population,and root-knot index(RKI)was found in plants with T2 *** results suggest that the combined application of *** and press mud has the potential to control the *** infection and can be used as an environmentally safe alternative to chemical nematicides and also help in the removal of sugarcane waste that causes environmental pollution.

关键词： growth improvement antioxidant enzymes nitrate reductase carbonic anhydrase root-knot index

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Hyperparameter Tuned Deep Learning Enabled Intrusion Detection on Internet of Everything Environment

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Computers, Materials & Continua 2022年第12期73卷 6579-6594页

作者： Manar Ahmed Hamza Aisha Hassan Abdalla Hashim heba.g.Mohamed saud S.Alotaibi Hany Mahgoub Amal S.Mehanna Abdelwahed Motwakel Department of Electrical and Computer Engineering International Islamic University MalaysiaKuala Lumpur53100Malaysia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Faculty of Computers and Information Computer Science DepartmentMenoufia UniversityEgypt Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11845Egypt

Internet of Everything(IoE),the recent technological advancement,represents an interconnected network of people,processes,data,and *** recent times,IoE gained significant attention among entrepreneurs,individuals,and communities owing to its realization of intense values from the connected *** the other hand,the massive increase in data generation from IoE applications enables the transmission of big data,from contextawaremachines,into useful *** and privacy pose serious challenges in designing IoE environment which can be addressed by developing effective Intrusion Detection Systems(IDS).In this background,the current study develops Intelligent Multiverse Optimization with Deep Learning Enabled Intrusion Detection System(IMVO-DLIDS)for IoT *** presented IMVO-DLIDS model focuses on identification and classification of intrusions in IoT *** proposed IMVO-DLIDS model follows a three-stage *** first,data pre-processing is performed to convert the actual data into useful *** addition,Chaotic Local Search Whale Optimization Algorithm-based Feature Selection(CLSWOA-FS)technique is employed to choose the optimal feature ***,MVO algorithm is exploited with Bidirectional gated Recurrent Unit(BigRU)model for ***,the novelty of the work is the application of MVO algorithm in fine-turning the hyperparameters involved in BigRU *** experimental validation was conducted for the proposed IMVO-DLIDS model on benchmark datasets and the results were assessed under distinct *** extensive comparative study was conducted and the results confirmed the promising outcomes of IMVO-DLIDS approach compared to other approaches.

关键词： Internet of everything deep learning feature selection classification intrusion detection cybersecurity

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Hyperparameter Tuned Deep Learning Enabled Cyberbullying Classification in Social Media

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Computers, Materials & Continua 2022年第12期73卷 5011-5024页

作者： Mesfer Al Duhayyim heba.g.Mohamed saud S.Alotaibi Hany Mahgoub Abdullah Mohamed Abdelwahed Motwakel Abu sarwar Zamani Mohamed I.Eldesouki Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computers and Information Computer Science DepartmentMenoufia UniversityEgypt Research Centre Future University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl KharjSaudi Arabia

Cyberbullying(CB)is a challenging issue in social media and it becomes important to effectively identify the occurrence of *** recently developed deep learning(DL)models pave the way to design CB classifier models with maximum *** the same time,optimal hyperparameter tuning process plays a vital role to enhance overall *** study introduces a Teacher Learning genetic Optimization with Deep Learning Enabled Cyberbullying Classification(TLgODL-CBC)model in Social *** proposed TLgODL-CBC model intends to identify the existence and non-existence of CB in social media ***,the input data is cleaned and pre-processed to make it compatible for further *** by,independent recurrent autoencoder(IRAE)model is utilized for the recognition and classification of ***,the TLgO algorithm is used to optimally adjust the parameters related to the IRAE model and shows the novelty of the *** assuring the improved outcomes of the TLgODLCBC approach,a wide range of simulations are executed and the outcomes are investigated under several *** simulation outcomes make sure the improvements of the TLgODL-CBC model over recent approaches.

关键词： Social media deep learning cyberbullying cybersecurity hyperparameter optimization

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An Improved DeepNN with Feature Ranking for Covid-19 Detection

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Computers, Materials & Continua 2022年第5期71卷 2249-2269页

作者： Noha E.El-Attar sahar F.sabbeh heba Fasihuddin Wael A.Awad Faculty of Computers and Artificial Intelligence Benha UniversityBenha13518Egypt University of Jeddah College of Computer Science and EngineeringJeddah21493Kingdom of Saudi Arabia Faculty of Computers and Information Damietta UniversityDamietta34711Egypt

The outbreak of Covid-19 has taken the lives of many patients so *** symptoms of COVID-19 include muscle pains,loss of taste and smell,coughs,fever,and sore throat,which can lead to severe cases of breathing difficulties,organ failure,and ***,the early detection of the virus is very ***-19 can be detected using clinical tests,making us need to know the most important symptoms/features that can enhance the decision *** this work,we propose a modified multilayer perceptron(MLP)with feature selection(MLPFS)to predict the positive COVID-19 cases based on symptoms and features from patients’electronic medical records(EMR).MLPFS model includes a layer that identifies the most informative symptoms to minimize the number of symptoms base on their relative *** the model with only the highest informative symptoms can fasten the learning process and increase *** were conducted using three different COVID-19 datasets and eight different models,including the proposed *** show that MLPFS achieves the best feature reduction across all datasets compared to all other experimented ***,it outperforms the other models in classification results as well as time.

关键词： Covid-19 feature selection deep learning

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COVID-19 pandemic and the cyberthreat landscape:Research challenges and opportunities

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Digital Communications and Networks 2023年第1期9卷 211-222页

作者： heba saleous Muhusina Ismail saleh HAlDaajeh Nisha Madathil saed Alrabaee Kim-Kwang Raymond Choo Nabeel Al-Qirim Information Systems and Security College of ITUnited Arab Emirates UniversityAl AinUnited Arab Emirates Department of Information Systems and Cyber Security The University of Texas at San AntonioSan AntonioTX78249USA College of Technological Innovations(CIT) Zayed UniversityUAE

Although cyber technologies benefit our society,there are also some related cybersecurity *** example,cybercriminals may exploit vulnerabilities in people,processes,and technologies during trying times,such as the ongoing COVID-19 pandemic,to identify opportunities that target vulnerable individuals,organizations(e.g.,medical facilities),and *** this paper,we examine the various cyberthreats associated with the COVID-19 *** also determine the attack vectors and surfaces of ***,we will discuss and analyze the insights and suggestions generated by different cyberattacks against individuals,organizations,and systems.

关键词： COVID-19 Cyberattacks Security and privacy Mitigation Potential solutions

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Brain metabolic profile assessed by magnetic resonance spectroscopy in children with Down syndrome:Relation to intelligence quotient

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World Journal of Clinical Pediatrics 2023年第5期12卷 310-318页

作者： Nesreen safwat El Feil heba S Elmahdy Rasha Ahmed Elmahdy Ahmed Abd-Elbasset Aboelezz heba S Dawoud Mohammed Al-Beltagi Department of Pediatrics Faculty of MedicineTanta UniversityTanta 31527Al GharbiaEgypt Department of Radiology University Medical CenterDr.Sulaiman Al-Habib Medical GroupManama 26671ManamaBahrain Department of Pediatrics University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671ManamaBahrain Department of Pediatrics University Medical CenterDr.Sulaiman Al-Habib Medical GroupManama 26671ManamaBahrain

BACKgROUND Down syndrome(DS)is one of the most common causes of intellectual *** with DS have varying intelligence quotient(IQ)that can predict their learning *** To assess the brain metabolic profiles of children with DS and compare them to standard controls,using magnetic resonance spectroscopy(MRS)and correlating the results with *** This case-control study included 40 children with DS aged 6-15 years and 40 age and sex-matched healthy children as *** was used to evaluate ratios of choline/creatine(Cho/Cr),N-acetyl aspartic acid/creatine(NAA/Cr),and myoinositol/creatine(MI/Cr(in the frontal,temporal,and occipital lobes and basal ganglia and compared to controls and correlated with *** Children with DS showed significant reductions in NAA/Cr and MI/Cr and a non-significant reduction in Cho/Cr in frontal lobes compared to ***,we observed significant decreases in NAA/Cr,MI/Cr,and Cho/Cr in the temporal and occipital lobes and basal ganglia in children with DS compared to ***,there was a significant correlation between IQ and metabolic ratios in the brains of children with *** Brain metabolic profile could be a good predictor of IQ in children with DS.

关键词： Children Down syndrome Magnetic resonance spectroscopy Metabolic profile Intelligence quotient

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Factors Associated with Students’ Daily Fruit and Vegetable Recommendation at Umm Al-Qura University

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Food and Nutrition Sciences 2022年第2期13卷 124-135页

作者： heba Althubaiti Home Science Education Department Nutrition Unit Umm Al-Qura University Al-Lith Campus Al-Lith KSA

Introduction: There is a lack of the awareness in the fruit and vegetable (F & V) recommendation among saudi society. Although the known facts of the benefits of F & V on health, information on saudi society following the advised recommendation whether by WHO or local are still unknown. Aim: This cross-sectional study aims to examine the perception of F & V intake among students at Umm Al-Qura University and to assess if they follow these recommendations of F & V locally and internationally. Method: Students from Umm Al-Qura University participated in this study (n = 98, age between 18 - 55). All data were collected using short online survey via Online survey—Survey Monkey in 2019. Result: 55% students were not aware of these recommendations whereas 45% were aware of WHO recommendation. The majority of students 53% have less than two portions a day of F & V. Only 14% have between two to four portions a day. 32% do not eat any portion of F & V daily. 59%, 14%, 5% of students believe that they should have five, seven, more than seven portions a day for being healthy respectively. Maintaining health, reducing the risk for chronic disease and providing essential vitamins and minerals to the body were all reasons why students believe that they should have F & V everyday by 71%. Busy lifestyle, F & V cost, lack of the awareness about the health benefits, dislike of the taste, some F & V spoiled easily were all factors affecting eating F & V daily. Conclusion: University students need educational and nutritional campaigns to spread the awareness about the health benefits of F & V. Most importantly the ministry of health should support those campaigns to increase students’ awareness and build a healthy society with a good habit.

关键词： Fruit Intake Veg Intake F & V Recommendation Students Umm Al-Qura University

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The Role of Healthy Diet (HD) on Covid-19 Pandemic during and after

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Health 2022年第1期14卷 96-103页

作者： heba Althubaiti Home Science Education Department-Nutrition Unit Umm Al-Qura University (Al-Lith Campus) Al-Lith Governorate Saudi Arabia

Diet remains a key factor that significantly influences the outcomes of the disease. There are some factors that place one at a higher risk of morbidity from the disease, with the common ones being elderly age and coexistent comorbidities. The dietary consumption of the patient is vital since some Western Diets that are largely refined predispose one to cardio-metabolic diseases. In addition to that, the consumption of such diets largely influences the immunity of the individual, whereby it reduces the disease-fighting capability of the immune system. The health education on the patient with the condition has largely widened to encompass the healthy eating habits that one should emulate to reduce the disease severity. Further, in an attempt to promote the awareness of the importance of healthy eating, Eat Well saskatchewan (EWS) has formulated some social media outreach to ensure that the importance of healthy eating reaches a larger population.

关键词： Healthy Diet (HD) COVID-19 Pandemic saskatchewan (EWS) Immunity

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Repurposed anti-cancer epidermal growth factor receptor inhibitors: mechanisms of neuroprotective effects in Alzheimer’s disease

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Neural Regeneration Research 2022年第9期17卷 1913-1918页

作者： heba M.Mansour Hala M.Fawzy Aiman S.El-Khatib Mahmoud M.Khattab Department of Pharmacology Egyptian Drug AuthorityEDAformerly NODCARGizaEgypt Department of Pharmacology and Toxicology Faculty of PharmacyCairo UniversityCairoEgypt

Numerous molecular mechanisms are being examined in an attempt to discover disease-modifying drugs to slow down the underlying neurodegeneration in Alzheimer’s *** studies have shown the beneficial effects of epidermal growth factor receptor inhibitors on the enhancement of behavioral and pathological sequelae in Alzheimer’s *** the promising effects of epidermal growth factor receptor inhibitors in Alzheimer’s disease,there is no irrefutable neuroprotective evidence in well-established animal models using epidermal growth factor receptor inhibitors due to many un-explored downstream signaling *** caused controversy about the potential involvement of epidermal growth factor receptor inhibitors in any prospective clinical *** this review,the mystery beyond the under-investigation of epidermal growth factor receptor in Alzheimer’s disease will be ***,their molecular mechanisms in neurodegeneration will be ***,we will shed light on saRS-COVID-19 induced neurological manifestations mediated by epidermal growth factor ***,we will discuss future perspectives and under-examined epidermal growth factor receptor downstream signaling pathways that warrant more *** conclude that epidermal growth factor receptor inhibitors are novel effective therapeutic approaches that require further research in attempts to be repositioned in the delay of Alzheimer’s disease progression.

关键词： Alzheimer’s disease autophagy drug re-positioning epidermal growth factor receptor human epidermal growth factor receptor-2 neurodegenerative diseases neuroinflammation oxidative stress tyrosine kinase inhibitors

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Suppression of NLRP3 inflammasome by ivermectin ameliorates bleomycin-induced pulmonary fibrosis

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2023年第8期24卷 723-733页

作者： Mai A.ABD-ELMAWLA heba R.gHAIAD Enas S.gAD Kawkab A.AHMED Maha ABDELMONEM Department of Biochemistry Faculty of PharmacyCairo UniversityCairo 11562Egypt Department of Pharmaceutical Sciences Faculty of PharmacyKing Faisal UniversityAl-Ahsa 31982Saudi Arabia Department of Pharmacology and Toxicology Faculty of PharmacySinai UniversityIsmailia 45511Egypt Department of Pathology Faculty of Veterinary MedicineCairo UniversityCairo 12211Egypt

Ivermectin is a US Food and Drug Administration(FDA)-approved antiparasitic agent with antiviral and anti-inflammatory *** recent studies reported the possible anti-inflammatory activity of ivermectin in respiratory injuries,its potential therapeutic effect on pulmonary fibrosis(PF)has not been *** study aimed to explore the ability of ivermectin(0.6 mg/kg)to alleviate bleomycin-induced biochemical derangements and histological changes in an experimental PF rat *** can provide the means to validate the clinical utility of ivermectin as a treatment option for idiopathic *** results showed that ivermectin mitigated the bleomycin-evoked pulmonary injury,as manifested by the reduced infiltration of inflammatory cells,as well as decreased the inflammation and fibrosis ***,ivermectin decreased collagen fiber deposition and suppressed transforming growth factor-β1(TgF-β1)and fibronectin protein expression,highlighting its anti-fibrotic *** study revealed for the first time that ivermectin can suppress the nucleotide-binding oligomerization domain(NOD)-like receptor family pyrin domain-containing protein 3(NLRP3)inflammasome,as manifested by the reduced gene expression of NLRP3 and the apoptosis-associated speck-like protein containing a caspase recruitment domain(ASC),with a subsequent decline in the interleukin-1β(IL-1β)*** addition,ivermectin inhibited the expression of intracellular nuclear factor-κB(NF-κB)and hypoxia‑inducible factor‑1α(HIF-1α)proteins along with lowering the oxidative stress and apoptotic ***,this study revealed that ivermectin could ameliorate pulmonary inflammation and fibrosis induced by *** beneficial effects were mediated,at least partly,via the downregulation of TgF-β1 and fibronectin,as well as the suppression of NLRP3 inflammasome through modulating the expression of HIF‑1αand NF-κB.

关键词： Intra-tracheal instillation Immunohistochemistry Transforming growth factor-β1(TgF-β1) Nuclear factor-κB(NF-κB) Lung fibrosis

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