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Free radical scavenging activity of three different flowers-Hibiscus rosa-sinensis,Quisqualis indica and Senna surattensis

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Asian Pacific Journal of Tropical Biomedicine 2016年第9期6卷 771-777页

作者： Abd El-Moneim Mohamed Radwan Afify hazem Mohamed Mahmoud Hassan Biochemistry Department Faculty of AgricultureCairo University

Objective:To evaluate three flowers of Hibiscus rosa-sinensis(***-sinensis),Quisqualis indica(***) and Senna surattensis(***) for their antioxidant activity by different methods in addition to total phenolic,flavonoid and pigment ***:Antioxidant activity of water,ethanol and absolute ethanol extracts of three flowers; ***-sinensis,*** and *** was *** antioxidant activity was assessed by 1,1-diphenyl-2-picrylhydrazyl free radical scavenging activity,ferrous chelating activity,reducing power,nitric oxide scavenging activity,hydroxyl radical scavenging activity as well as total antioxidant *** flavonoids,total phenols and total pigments including chlorophylls and carotenoids were measured for the three ***:The results showed that the highest total antioxidant capacity at concentration of 500 mg/L was found in *** as 0.479 ± *** activity of ***,*** and *** flower extracts against 1,1-diphenyl-2-picrylhydrazyl radical showed the highest activity of(90.20 ± 0.29)% with 500 mg/*** screening of the three flowers extracts were carried out for alkaloids,flavonoids,saponins,tannins,steroids,glycosides,terpenoids,amino acid and ***-sinensis showed the total phenolic in water extract of(235.77 ± 14.31) mg/100 g,the other two flowers *** and *** had the total phenolic in ethanol extracts of(937.70 ± 25.06) and(850.30 ± 13.81) mg/100 g,*** the other hand total flavonoids were identified in absolute ethanol extracts in the three flowers[(32.83 ± 1.34),(49.24 ± 4.87) and(2.79 ± 0.23) mg/100 g,respectively].Conclusions:The extracts in the constituents of the three flowers could be used as additives as supplement fractions in foods.

关键词： Free radical Antioxidant Hibiscus rosa-sinensis Quisqualis indica Senna surattensis

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A Hybrid Heuristic Algorithm for Solving COVID-19’s Social Distancing at Universities Campus

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Computer Systems Science & Engineering 2022年第6期41卷 933-944页

作者： Hassan Al-Tarawneh Khalid Al-Kaabneh Aysh Alhroob hazem Migdady Issam Alhadid Department of Data sciences and Artificial Intelligence Al-Ahlyyia Amman UniversityAmmanJordan Department of Software Engineering Isra UniversityAmmanJordan Department of CSMIS Oman college of management and technologyMuscatOman Faculty of Information Technology and Systems University of JordanAqabaJordan

Social distancing during COVID-19 has become one of the most important measures in reducing the risks of the spread of the virus. Implementing thesemeasures at universities is crucial and directly related to the physical attendance ofthe populations of students, professors, employees, and other members on campus. This research proposes an automated scheduling approach that can help universities and schools comply with the social distancing regulations by providingassistance in avoiding huge assemblages of people. Furthermore, this paper proposes a novel course timetable-scheduling scheme based on four main ***, a distance of two meters must be maintained between each student inside theclassroom. Second, no classrooms should contain more than 20% of their regularcapacity. Third, there would be no back-to-back classes. Lastly, no lectures shouldbe held simultaneously in adjacent classrooms. The proposed approach wasimplemented using a variable neighborhood search (VNS) approach with an adaptive neighborhood structure (AD-NS) to resolve the problem of scheduling coursetimetables at Al-Ahlyyia Amman University. However, the experimental resultsshow that the proposed techniques outperformed the standard VNS tested on university course timetabling benchmark dataset ITC2007-Track3. Meanwhile, theapproach was tested using datasets collected from the faculty of information technology at Al-Ahlyyia Amman University (Jordan). Where the results showed that,the proposed technique could help educational institutes to resume their regularoperations while complying with the social distancing guidelines.

关键词： COVID-19 social distance variable neighborhood search adaptive neighborhood structure university course timetable

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Development of a Smart Technique for Mobile Web Services Discovery

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Computers, Materials & Continua 2021年第11期69卷 1483-1501页

作者： Mohamed Eb-Saad Yunyoung Nam hazem M.El-bakry Samir Abdelrazek Department of Information Systems Faculty of Computers and InformationMansoura UniversityMansoura35516Egypt Department of Computer Science and Engineering Soonchunhyang UniversityAsan31538Korea

Web service(WS)presents a good solution to the interoperability of different types of systems that aims to reduce the overhead of high processing in a resource-limited *** the increasing demand for mobile WS(MWS),the WS discovery process has become a significant challenging point in the WS lifecycle that aims to identify the relevant MWSs that best match the service *** discovery process is a resource-consuming task that cannot be performed efficiently in a mobile computing environment due to the limitations of mobile ***,a cloud computing can provide rich computing resources for mobile environments given its unlimited and easily scalable *** paper proposes a semantic WS discovery and invocation framework in mobile environments based on cloud and a relationship-aware matchmaking *** discovery algorithm enriches MWS and user requests semantically with the functional and non-functional properties of Ontology Web Language for Services,such as Quality of Web Service,device context,and user *** WS repository is filtered based on logical reasoning and a parameter-based matching algorithm to minimize the matching space and improve runtime *** cosine similarity between the user request and services repository is then assessed to generate the most relevant *** relationships among concepts in the ontology are considered to improve the recall and precision *** the WS discovery process,users can invoke and test these services in a mobile environment through a dynamic user *** interface of the invocation process is changed according to the WS description *** application prototype is also developed to evaluate the framework based on a Cordova cross-mobile development framework.

关键词： Cloud web service web service discovery semantic matching mobile web service discovery

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Residual Attention Deep SVDD for COVID-19 Diagnosis Using CT Scans

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Computers, Materials & Continua 2023年第2期74卷 3333-3350页

作者： Akram Ali Alhadad Omar Tarawneh Reham R.Mostafa hazem M.El-Bakry Information Systems Department Faculty of Computers and InformationMansoura UniversityMansoura35511Egypt Computer Science Department Ibb UniversityIbbYemen SE Department Faculty of Computer Sciences and InformaticsAmman Arab UniversityAmman11953Jordan

COVID-19 is the common name of the disease caused by the novel coronavirus(2019-nCoV)that appeared in Wuhan,China in *** the infected people is the most important factor in the fight against the *** gold-standard test to diagnose COVID-19 is polymerase chain reaction(PCR),but it takes 5–6 h and,in the early stages of infection,may produce false-negative *** Computed Tomography(CT)images to diagnose patients infected with COVID-19 has become an urgent *** this study,we propose a residual attention deep support vector data description SVDD(RADSVDD)approach to diagnose *** is a novel approach combining residual attention with deep support vector data description(DSVDD)to classify the CT *** the best of our knowledge,we are the first to combine residual attention with DSVDD in general,and specifically in the diagnosis of *** attention with DSVDD naively may cause model *** in the proposed RADSVDD guides the network during training and enables quick learning,residual connectivity prevents vanishing *** approach consists of three models,each model is devoted to recognizing one certain disease and classifying other diseases as *** models learn in an end-to-end *** proposed approach attained high performance in classifying CT images into intact,COVID-19,and non-COVID-19 *** evaluate the proposed approach,we created a dataset from published datasets and had it assessed by an experienced *** proposed approach achieved high performance,with the normal model attained sensitivity(0.96–0.98),specificity(0.97–0.99),F1-score(0.97–0.98),and area under the receiver operator curve(AUC)0.99;the COVID-19 model attained sensitivity(0.97–0.98),specificity(0.97–0.99),F1-score(0.97–0.99),and AUC 0.99;and the non-COVID pneumoniamodel attained sensitivity(0.97–1),specificity(0.98–0.99),F1-score(0.97–0.99),and AUC 0.99.

关键词： Deep learning deep SVDD residual attention anomaly detection COVID-19 Coronavirus

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Applying Apache Spark on Streaming Big Data for Health Status Prediction

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Computers, Materials & Continua 2022年第2期70卷 3511-3527页

作者： Ahmed Ismail Ebada Ibrahim Elhenawy Chang-Won Jeong Yunyoung Nam hazem Elbakry Samir Abdelrazek Information Systems Department Faculty of Computers and InformationMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computers and InformationEl-Zagazig UniversityZagazigSharqiyah44519Egypt Medical Convergence Research Center Wonkwang UniversityIksanKorea Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea

Big data applications in healthcare have provided a variety of solutions to reduce costs,errors,and *** work aims to develop a real-time system based on big medical data processing in the cloud for the prediction of health *** the proposed scalable system,medical parameters are sent to Apache Spark to extract attributes from data and apply the proposed machine learning *** this way,healthcare risks can be predicted and sent as alerts and recommendations to users and healthcare *** proposed work also aims to provide an effective recommendation system by using streaming medical data,historical data on a user’s profile,and a knowledge database to make themost appropriate real-time recommendations and alerts based on the sensor’s *** proposed scalable system works by tweeting the health status attributes of *** cloud profile receives the streaming healthcare data in real time by extracting the health attributes via a machine learning prediction algorithm to predict the users’health ***,their status can be sent on demand to healthcare ***,machine learning algorithms can be applied to stream health care data from wearables and provide users with insights into their health *** algorithms can help healthcare providers and individuals focus on health risks and health status changes and consequently improve the quality of life.

关键词： Big data streaming processing healthcare data machine learning IoT data processing Apache Spark

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Safety and efficacy of posterior sub-Tenon＇s carboplatin injection versus intravitreal melphalan therapy in the management of retinoblastoma with secondary vitreous seeds

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International Journal of Ophthalmology(English edition) 2018年第3期11卷 445-455页

作者： Azza Mohamed Ahmed Said Mohamed Gamil Al hazem Omar Rashed Anwaar Mahmoud Rady Department of Ophthalmology Faculty of Medicine Ain Shams University Cairo 11566 Egypt Oncology and Radiation Medicine Department Faculty of Medicine Ain Shams University Cairo 11566 Egypt

AIM： To evaluate the safety and efficacy of posterior sub-Tenon＇s carboplatin injection compared to intravitreal melphalan injection in the management of retinoblastoma （RB） with secondary vitreous seeds. The outcome measures were vitreous seeds regression, need for other treatment modalities to achieve ocular salvage and treatment side effects. METHODS： A prospective interventional comparative nonrandomized study included RB eyes developed secondary vitreous seeds during the period of follow up. They subdivided into two groups： study group Ⅰ where posterior sub-Tenon＇s carboplatin （20 mg/2 mL） was injected and study group Ⅱ where intravitreal melphalan （20 μg/0.1 mL） was injected. The injections repeated every 2-4wk. RESULTS： Thirty-three eyes were included in the study. Seventeen eyes （16 patients） in study group Ⅰ and 16 eyes （16 patients） in study group Ⅱ. Ten eyes （30.3%） were completely salvaged following local chemotherapies, Ocular salvage was 23.5% following posterior sub-Tenon＇s carboplatin injection versus 37.5% following intravitreal melphalan raised to 47.1% and 75% with addition of external beam radiotherapy （EBR） with no statistically significant difference between the study groups （P=0.16）. A statistically significant correlation was found between ocular salvage rate and type of vitreous seeds either dust, spheres and clouds （r=0.42, P=-0.015） and eyes harbor new solid tumor growth （r=0.35, P=0.045）. The mean and median follow up periods following local chemotherapy injections were 2.0y in the study group Ⅰand 2.37y in the study group Ⅱ. Few complications were reported： periorbital edema in all eyes and ocular motility disturbances in 13 eyes （76.5%） following posterior sub-Tenon＇s carboplatin injection. Vitreous hemorrhage developed in 2 eyes （12.5%） and localized retinopathy in 5 eyes （31.25%） following intravitreal melphalan. ~ CONCLUSION： Local chemotherapy for treatment of RB with secondary vitreous seeds is safe and can salvage 30.3% of eyes

关键词： intravitreal melphalan posterior sub-Tenon'scarboplatin retinoblastoma secondary vitreous seeds

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Correlation between corneal demarcation line depth in epithelium-off and trans-epithelium accelerated corneal cross linking and keratoconus progression

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International Journal of Ophthalmology(English edition) 2020年第6期13卷 907-912页

作者： Mahmoud Abdel-Radi Zeiad Eldaly hazem Abdelmotaal Reham Abdelrahman Mohamed Sayed Kamel Soliman Department of Ophthalmology Assiut UniversityAssiut 71516Egypt

AIM:To compare corneal demarcation line(DL)depth in both accelerated epithelium-off and trans-epithelium cross linking(CXL)using anterior segment optical coherence tomography(AS-OCT)and its relation to maximum keratometry(Kmax)progression in both ***:A prospective comparative interventional study where patients with mild to moderate keratoconus(KC)were classified into two groups:accelerated epitheliumoff and trans-epithelium CXL based on corneal *** of corneal DL depth was carried out after 3mo by *** readings were evaluated after one year follow up using the Scheimpflug imaging ***:Study included 74 eyes of 44 *** A underwent epithelium-off CXL(41 eyes),while Group B underwent trans-epithelium CXL(33 eyes).At 3mo follow up,mean corneal DL depth in Group A was 219.9±58.4μm while in Group B was 127.2±7.8μm(P0.05).In addition,no significant change in corneal pachymetry was found in both groups(meanchange at 1y:6.4±4.7 and-10.1±2.3μm in Groups A and B respectively).CONCLUSION:Despite a significantly deeper corneal DL depth created by accelerated epithelium-off CXL technique compared to accelerated trans-epithelium CXL,there is no significant impact on keratoconus progression.

关键词： anterior segment optical coherence tomography cross linking demarcation line keratoconus

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Relationships between land use types and urban heat island intensity in Hulu Langat district,Selangor,Malaysia

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Ecological Processes 2023年第1期12卷 461-474页

作者： Muhammad Rendana Wan Mohd Razi Idris Sahibin Abdul Rahim hazem Ghassan Abdo Hussein Almohamad Ahmed Abdullah Al Dughairi Motrih Al-Mutiry Department of Chemical Engineering Faculty of EngineeringUniversitas SriwijayaIndralaya 30662South SumatraIndonesia Department of Earth Sciences and Environment Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 BangiSelangorMalaysia Department of Environmental Science Faculty of Science and Natural ResourcesUniversiti Malaysia Sabah88400 Kota KinabaluSabahMalaysia Geography Department Faculty of Arts and HumanitiesTartous UniversityTartousSyria Department of Geography College of Arabic Language and Social StudiesQassim UniversityBuraydah 51452Saudi Arabia Department of Geography College of ArtsPrincess Nourah Bint Abdulrahman UniversityRiyadh 11671Saudi Arabia

Background Urban heat island(UHI)is an urban climate phenomenon that primarily responds to urban conditions and land use *** extent of hard surfaces significantly influences the thermal properties of the *** address this issue,a novel approach quantifying the association between land use and UHI is *** study offers a new technique for effectively estimating the effect of land use on the UHI intensity using the combination of urban heat intensity index(UHII)and land contribution index(LCI)derived from Landsat 8 OLI *** time-series thermal effect of land use on the UHI intensity can be determined according to the ratio in mean temperature between specific land use and the whole study *** study was conducted in the Hulu Langat district,Malaysia during *** The UHI intensity rose from 0.19 in 2014 to 0.70 in *** negative value of LCI for vegetation areas and water bodies obtained its negative contribution to the urban heat island,while the positive value of LCI for bare areas and built-up areas showed its positive effect on the urban heat *** LCI value for urban areas showed a significant increase in the 7 years such as 0.51,0.66,0.69,and 0.75 for periods 2014,2016,2018,and 2021,*** change in LCI from 2014 to 2021 for the transformation of bare area and forest was recorded to be 0.23 and−0.02,***,the conversion of forests into urban areas had a negative effect on the increment of UHI *** Overall,these findings are useful for policy-making agency in developing an effective policy for reducing high UHI intensity and planning long-term land use management.

关键词： Geospatial technology Urban heat island Land contribution index Land surface temperature Environment

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Incremental Learning Framework for Mining Big Data Stream

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Computers, Materials & Continua 2022年第5期71卷 2901-2921页

作者： Alaa Eisa Nora E.L-Rashidy Mohammad Dahman Alshehri hazem M.El-bakry Samir Abdelrazek Information Systems Department Faculty of Computers and InformationMansoura UniversityMansoura35516Egypt Machine Learning and Information Retrieval Department Faculty of Artificial IntelligenceKafrelsheikh UniversityKafr El-SheikhEgypt Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

At this current time,data stream classification plays a key role in big data analytics due to its enormous *** of the existing classification methods used ensemble learning,which is trustworthy but these methods are not effective to face the issues of learning from imbalanced big data,it also supposes that all data are *** weakness of current methods is that it takes a long evaluation time when the target data stream contains a high number of *** main objective of this research is to develop a new method for incremental learning based on the proposed ant lion fuzzy-generative adversarial network *** proposed model is implemented in spark *** each data stream,the class output is computed at slave nodes by training a generative adversarial network with the back propagation error based on fuzzy bound *** method overcomes the limitations of existing methods as it can classify data streams that are slightly or completely unlabeled data and providing high scalability and *** results show that the proposed model outperforms stateof-the-art performance in terms of accuracy(0.861)precision(0.9328)and minimal MSE(0.0416).

关键词： Ant lion optimization(ALO) big data stream generative adversarial network(GAN) incremental learning renyi entropy

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Outcomes of curative liver resection for hepatocellular carcinoma in patients with cirrhosis

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World Journal of Gastrointestinal Oncology 2021年第5期13卷 424-439页

作者： Omar Elshaarawy Aya Aman hazem Mohamed Zakaria Talaat Zakareya Asmaa Gomaa Esam Elshimi Eman Abdelsameea Department of Hepatology Gastroenterology and Liver TransplantationNational Liver InstituteMenoufia UniversityShebine Elkom 32511MenoufiaEgypt Department of Hepatobiliary Pancreatic Surgery National Liver InstituteMenoufia UniversityShebine Elkom 32511MenoufiaEgypt

BACKGROUND Given the poor synthetic function of cirrhotic liver,successful resection for patients with hepatocellular carcinoma(HCC)necessitates the ability to achieve resections with tumor free *** To validate post hepatectomy liver failure score(PHLF),compare it to other established systems and to stratify risks in patients with cirrhosis who underwent curative liver resection for *** Between December 2010 and January 2017,120 patients underwent curative resection for HCC in patients with cirrhosis were included,the pre-operative,operative and post-operative factors were recorded to stratify patients'risks of decompensation,survival,and *** The preoperative model for end-stage liver disease(MELD)score[odds ratio(OR)=2.7,95%CI:1.2-5.7,P=0.013],tumor diameter(OR=5.4,95%CI:2-14.8,P=0.001)and duration of hospital stay(OR=2.5,95%CI:1.5-4.2,P=0.001)were significant independent predictors of hepatic decompensation after *** the preoperative MELD score[hazard ratio(HR)=1.37,95%CI:1.16-1.62,P<0.001]and different grades of PHLF(grade A:HR=2.33,95%CI:0.59-9.24;Grade B:HR=3.15,95%CI:1.11-8.95;Grade C:HR=373.41,95%CI:66.23-2105.43;P<0.001)and HCC recurrence(HR=11.67,95%CI:4.19-32.52,P<0.001)were significant independent predictors for *** Preoperative MELD score and tumor diameter can independently predict hepatic ***,preoperative MELD score,different grades of PHLF and HCC recurrence can precisely predict survival.

关键词： Cirrhosis Liver Resection Scores Hepatocellular carcinoma

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