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Extracts from Marine Macroalgae and Opuntia ficus-indica Cladodes Enhance Halotolerance and Enzymatic Potential of Diazotrophic Rhizobacteria and Their Impact on Wheat Germination Under Salt Stress

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Pedosphere 2018年第2期28卷 241-254页

作者： abdelwahab rai Ameur CHERIF Cristina CRUZ Elhafid NABTI Département de Microbiologie Faculté des Sciences de la Nature et de la Vie Université Ferhat Abbas Sdtif-1 19000 (Algdrie) Universitg de Béjaia FSNV Laboratoire de Maitrise des Energies Renouvelables (LMER) Equipe de Biomasse et Environnement Targa Ouzemmour Béaia 06000 (Algérie) LR Biotechnology and Bio-Geo Resources Valorization Higher Institute for Biotechnology University of Manouba Sidi Thabet Biotechpole 2020 Sidi Thabet Ariana 2080 (Tunisia) cE3c-Centre for Ecology Evolution and Environmental Changes Campo Grande Bloco C-2 Piso 5 Sala 03 Lisboa 1749-016 CPor- tugal)

Soil salinity, which affects more than 6% of the earth’s land surface and more than 20% of its irrigated areas, is a major threat to agriculture. Diazotrophic bacteria are among the functional groups of soil microbiota that are threatened by this abiotic stress, as their activity is mostly inhibited by salt stress. Seventy bacterial strains with distinct characteristics were isolated from soils by using N-free Jensen’s selective medium. Based on their ability to produce metabolites of agricultural interest, four strains were selected and identified as Flavobacterium johnsoniae, Pseudomonas putida, Achromobacter xylosoxidans, and Azotobacter chroococcum. The selected strains were grown at different NaCl concentrations (0–600 mmol L^(-1) in N-free broth and 0–2 000 mmol L^(-1) in Luria-Bertani medium) in the presence and absence of glycine betaine (GB), aqueous and hydro-alcoholic extracts from marine macroalgae, Ulva lactuca and Enteromorpha intestinalis, and Opuntia ficus-indica cladodes. The selected bacterial strains, GB, and the aforementioned extracts were tested for their ability to promote the germination of wheat (Triticum durum) seeds at 0–300 mmol L^(-1) NaCl. Compared with the results obtained with the synthetic osmoprotectant GB, the extracts from O. ficus-indica, U. lactuca, and E. intestinalis significantly promoted bacterial growth and seed germination under salt stress.

关键词： glycine betaine Ulva lactuca Enteromorpha intestinalis plant growth-promoting rhizobacteria (PGPR) seed germi-nation Triticum durum

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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

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Evaluation of Serum Soluble CD27 and CXCL10 Levels in Patients With Vitiligo:A Cross-Sectional Study

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International Journal of Dermatology and Venereology 2024年第2期7卷 89-93页

作者： Marwa A.Aboelmagd Hanan A.Assaf Mohammed H.Hassan Hanan A.Abdelmegeed Ashraf abdelwahab Department of Dermatology Venereology and AndrologyFaculty of MedicineSohag UniversitySohag 82524Egypt Department of Medical Biochemistry Faculty of MedicineSouth Valley UniversityQena 83523Egypt Department of Dermatology Sohag Hospital for Mental HealthSohag 82524Egypt

Objective:Vitiligo is a relatively common skin disfiguring disorder that exhibits a fluctuating course between activity and stability,making monitoring and management *** plays a crucial role in the pathogenesis of *** autoimmune disorders have been associated with both CD27 and chemokine(C-X-C motif)ligand 10(CXCL10).However,trials evaluating their role in vitiligo are lacking in the Egyptian *** evaluated the circulating levels of these 2 biomarkers in patients with vitiligo and the possible correlation between their levels and disease ***:This cross-sectional study included 70 patients with vitiligo and 20 healthy *** patients were clinically assessed and then divided into active and stable groups according to clinical signs of activity and Vitiligo Disease Activity *** levels of CD27 and CXCL10 in the serum were assessed using an enzyme-linked immunosorbent assay in both the patients and the controls,then the Mann-Whitney U and Kruskal-Wallis tests were used to analyze the difference between the ***:Active and stable vitiligo patients have significantly higher median serum CXCL10(385.9 and 245.2 pg/mL)and CD27(61.6 and 66.5 ng/mL)levels compared to the controls(193 pg/mL and 52.5 ng/mL,respectively,all P<0.05).In vitiligo cases,although CXCL10 levels significantly increased with disease activity(P<0.001),CD27 levels were comparable between the 2 subgroups(P=0.953).CXCL10 positively correlated with disease activity(r=0.887,P<0.001).CXCL10 had a higher sensitivity and a lower specificity(95.7%and 60.0%,respectively)compared to CD27(71.4%and 75%,respectively)for differentiating cases from ***:There is a possibility that CXCL10 and CD27 are involved in the development and course of vitiligo.

关键词： vitiligo disease activity chemokine(C-X-C motif)ligand 10 CD27

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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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A new approach to learning and recognizing leaf diseases from individual lesions using convolutional neural networks

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Information Processing in Agriculture 2023年第1期10卷 11-27页

作者： Lawrence C.Ngugi Moataz abdelwahab Mohammed Abo-Zahhad Department of Electronics and Communication Engineering Egypt-Japan University of Science and TechnologyAlexandriaEgypt Department of Electrical and Electronics Engineering Assiut UniversityAssiutEgypt

Leaf disease recognition using image processing and deep learning techniques is currently a vibrant research *** studies have focused on recognizing diseases from images of whole *** approach limits the resulting models’ability to estimate leaf disease severity or identify multiple anomalies occurring on the same *** studies have demonstrated that classifying leaf diseases based on individual lesions greatly enhances disease recognition *** those studies,however,the lesions were laboriously cropped by *** study proposes a semi-automatic algorithm that facilitates the fast and efficient preparation of datasets of individual lesions and leaf image pixel maps to overcome this *** datasets were then used to train and test lesion classifier and semantic segmentation Convolutional Neural Network(CNN)models,*** report that GoogLeNet’s disease recognition accuracy improved by more than 15%when diseases were recognized from lesion images compared to when disease recognition was done using images of whole leaves.A CNN model which performs semantic segmentation of both the leaf and lesions in one pass is also proposed in this *** proposed KijaniNet model achieved state-of-the-art segmentation performance in terms of mean Intersection over Union(mIoU)score of 0.8448 and 0.6257 for the leaf and lesion pixel classes,*** terms of mean boundary F1 score,the KijaniNet model attained 0.8241 and 0.7855 for the two pixel classes,***,a fully automatic algorithm for leaf disease recognition from individual lesions is *** algorithm employs the semantic segmentation network cascaded to a GoogLeNet classifier for lesion-wise disease *** proposed fully automatic algorithm outperforms competing methods in terms of its superior segmentation and classification performance despite being trained on a small dataset.

关键词： Deep learning Precision agriculture Leaf disease recognition Complex background removal Leaf image segmentation Lesion classification

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Severe phimosis-like epiretinal membrane proliferation following internal limiting membrane peeling for macular hole

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International Journal of Ophthalmology(English edition) 2022年第12期15卷 2031-2033页

作者： Hasan Mohidat Omar S El-Mulki abdelwahab Aleshawi Ophthalmology Division Department of Special SurgeryFaculty of MedicineJordan University of Science and TechnologyIrbid 22110Jordan Retina Fellow Department of OphthalmologyKing Abdullah University HospitalIrbid 22110Jordan

Dear Editor,I nternal limiting membrane(ILM)peeling with gas tamponade has been the preferred surgical technique for the macular hole treatment[1-2].Eckardt et al[1]achieved a complete closure of 92%of the macular ***,the procedure involves peeling of ILM from the macula using a microvitreoretinal blade with an intraocular forceps 500 mm superior to the hole,removal of membranes and releasing the traction around the macular *** a macular epiretinal membrane(ERM)is present,it should be peeled during the surgery[1-2].

关键词： macular limiting releasing

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Internal electrical fault detection techniques in DFIG-based wind turbines: a review

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Protection and Control of Modern Power Systems 2022年第1期7卷 265-286页

作者： abdelwahab D.Bebars Abdelfattah A.Eladl Gabr M.Abdulsalam Ebrahim A.Badran Electrical Engineering Department Faculty of EngineeringMansoura UniversityEl-MansouraEgypt

The keys factor in making wind power one of the main power sources to meet the world’s growing energy demands is the reliability improvement of wind turbines(WTs).However,the eventuality of fault occurrence on WT com-ponents cannot be avoided,especially for doubly-fed induction generator(DFIG)based WTs,which are operating in severe *** maintenance need increases due to unexpected faults,which in turn leads to higher operating cost and poor *** investigation into DFIG internal fault detection techniques has been carried out in the last *** paper presents a detailed review of these *** discusses the methods that can be used to detect internal electrical faults in a DFIG stator,rotor,or both.A novel sorting technique is presented which takes into consideration different parameters such as fault location,detection technique,and DFIG *** main mathematical representation used to detect these faults is presented to allow an easier and faster under-standing of each *** addition,a comparison is carried out in every section to illustrate the main differences,advantages,and disadvantages of every method and/or *** real monitoring systems available in the market are ***,recommendations for the challenges,future work,and main gaps in the field of internal faults in a DFIG are *** review is organized in a tutorial manner,to be an effective guide for future research for enhancing the reliability of DFIG-based WTs.

关键词： DFIG Wind turbines Internal fault detection Reliability improvement

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MIoT Based Skin Cancer Detection Using Bregman Recurrent Deep Learning

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Computers, Materials & Continua 2022年第12期73卷 6253-6267页

作者： Nithya Rekha Sivakumar Sara abdelwahab Ghorashi Faten Khalid Karim Eatedal Alabdulkreem Amal Al-Rasheed 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

Mobile clouds are the most common medium for aggregating,storing,and analyzing data from the medical Internet of Things(MIoT).It is employed to monitor a patient’s essential health signs for earlier disease diagnosis and *** the various disease,skin cancer was the wide variety of cancer,as well as enhances the endurance *** recent years,many skin cancer classification systems using machine and deep learning models have been developed for classifying skin tumors,including malignant melanoma(MM)and other skin ***,accurate cancer detection was not performed with minimum time *** order to address these existing problems,a novel Multidimensional Bregman Divergencive Feature Scaling Based Cophenetic Piecewise Regression Recurrent Deep Learning Classification(MBDFS-CPRRDLC)technique is introduced for detecting cancer at an earlier *** MBDFS-CPRRDLC performs skin cancer detection using different layers such as input,hidden,and output for feature selection and *** patient information is composed of *** patient information was stored in mobile clouds server for performing predictive *** collected data are sent to the recurrent deep learning *** the first hidden layer,the feature selection process is carried out using the Multidimensional Bregman Divergencive Feature Scaling technique to find the significant features for disease identification resulting in decreases time *** by,the disease classification is carried out in the second hidden layer using cophenetic correlative piecewise regression for analyzing the testing and training *** process is repeatedly performed until the error gets *** this way,disease classification is accurately performed with higher *** evaluation is carried out for factors namely Accuracy,precision,recall,F-measure,as well as cancer detection time,by the amount of patient *** observed result confirms that the pr

关键词： MIoT skin cancer detection recurrent deep learning classification multidimensional bregman divergencive scaling cophenetic correlative piecewise regression

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Actual TDoA-based augmentation system for enhancing cybersecurity in ADS-B

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Chinese Journal of Aeronautics 2021年第2期34卷 217-228页

作者： Ahmed abdelwahab ELMARADY Kamel RAHOUMA Faculty of Engineering Minia UniversityMinia 61519Egypt

Currently, cybersecurity and cyber resilience are emerging and urgent issues in nextgeneration air traffic surveillance systems, which depend primarily on Automatic Dependent Surveillance-Broadcast(ADS-B) owing to its low cost and high accuracy. Unfortunately, ADS-B is prone to cyber-attacks. To verify the ADS-B positioning data of aircraft, multilateration(MLAT)techniques that use Time Differences of Arrivals(TDoAs) have been proposed. MLAT exhibits low accuracy in determining aircraft positions. Recently, a novel technique using a theoretically calculated TDoA fingerprint map has been proposed. This technique is less dependent on the geometry of sensor deployment and achieves better accuracy than MLAT. However, the accuracy of the existing technique is not sufficiently precise for determining aircraft positions and requires a long computation time. In contrast, this paper presents a reliable surveillance framework using an Actual TDoA-Based Augmentation System(ATBAS). It uses historically recorded real-data from the OpenSky network to train our TDoA fingerprint grid network. Our results show that the accuracy of the proposed ATBAS framework in determining the aircraft positions is significantly better than those of the MLAT and expected TDoA techniques by 56.93% and 48.86%, respectively. Additionally, the proposed framework reduced the computation time by 77% compared with the expected TDoA technique.

关键词： ADS-B Cybersecurity Cyber resilience k-Nearest Neighbors(k-NN)classifier Machine learning Multilateration

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Chemical diversity of essential oils from flowers,leaves,and stems of Rhanterium epapposum Oliv. growing in northern border region of Saudi Arabia

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Asian Pacific Journal of Tropical Biomedicine 2016年第9期6卷 767-770页

作者： Marwa Awad Abdelrhman abdelwahab Department of Biological Science Faculty of ScienceNorthern Border University Department of Medicinal and Aromatic Plants Phytochemical UnitsDesert Research Center Department of Botany and Microbiology Faculty of ScienceAl-Azhar University

Objective:To evaluate the medicinal uses of Rhanterium epapposum Oliv.(***) growing in northern border region of Saudi Arabia,through the chemical diversity of essential oils extracted from its flowers,leaves and ***:Aerial parts of *** were collected in April *** dried flowers,leaves,and stems were separately subjected to hydrodistillation in a Clevenger-type apparatus for 4 h to extract the essential *** chromatography-mass spectrometry analysis of the essential oils was carried out using an Agilent 6890 gas chromatograph equipped with an Agilent 5973 mass spectrometric ***:A total of 51 compounds representing 76.35%–94.86% of flowers,leaves and stems oils composition were *** chemical profiles of the studied fractions revealed the dominance of monoterpenes,regardless of qualitative and quantitative differences ***,linalool,4-terpineol and a-cadinol represented the major constituents of flowers *** oil was dominated by limonene,sabinene,a-pinene and b-myrcene whereas linalool,ionole,a-cadinol,b-eudesmol,4-terpineol,and aterpineol were the major constituents of stems ***:Essential oils from flowers,leaves and stems of *** growing in northern border region of Saudi Arabia are considered as a rich source of monoterpenes which have biological activities.

关键词： Rhanterium epapposum Oliv. Asteraceae Essential oils Monoterpenes

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