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Chinese Physics C 2024年第4期48卷 6-13页

作者： Y.mahmoud H.abdallah m.T.Hussein s.Elgammal Centre for theoretical physics The British University in EgyptEgypt Physics Department Faculty of ScienceCairo UniversityEgypt

In this study,we conducted a search for dark matter using a part of the data recorded by the Cms experiment during run-I of the LHC in 2012 with a center of mass energy of 8 TeV and an integrated luminosity of 11.6 fb−*** data were gathered from the Cms open *** matter,in the framework of the simplified model(mono-Z′),can be produced from proton-proton collisions in association with a new hypothetical gauge boson,Z′.Thus,the search was conducted in the dimuon plus large missing transverse momentum *** benchmark scenario of mono-Z′,which is known as light vector,was used for interpreting the Cms open *** evidence of dark matter was observed,and exclusion limits were set on the masses of dark matter and Z′at 95%confidence level.

关键词： dark matter large hadron collider Cms open data search for new physics dark fermion

An Attention-Based Approach to Enhance the Detection and Classification of Android malware

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Computers, materials & Continua 2024年第8期80卷 2743-2760页

作者： abdallah Ghourabi Department of Computer science College of Computer and Information SciencesJouf UniversitySakaka72388Saudi Arabia

The dominance of Android in the global mobile market and the open development characteristics of this platform have resulted in a significant increase in *** malicious applications have become a serious concern to the security of Android *** address this problem,researchers have proposed several machine-learning models to detect and classify Android malware based on analyzing features extracted from Android ***,most existing studies have focused on the classification task and overlooked the feature selection process,which is crucial to reduce the training time and maintain or improve the classification *** current paper proposes a new Android malware detection and classification approach that identifies the most important features to improve classification performance and reduce training *** proposed approach consists of two main ***,a feature selection method based on the Attention mechanism is used to select the most important ***,an optimized Light Gradient Boosting machine(LightGBm)classifier is applied to classify the Android samples and identify the *** feature selection method proposed in this paper is to integrate an Attention layer into a multilayer perceptron neural *** role of the Attention layer is to compute the weighted values of each feature based on its importance for the classification *** evaluation of the approach has shown that combining the Attention-based technique with an optimized classification algorithm for Android malware detection has improved the accuracy from 98.64%to 98.71%while reducing the training time from 80 to 28 s.

关键词： Android malware malware detection feature selection attention mechanism LightGBm mobile security

Adaptive segmentation for Unconstrained Iris Recognition

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Computers, materials & Continua 2024年第2期78卷 1591-1609页

作者： mustafa AlRifaee sally Almanasra Adnan Hnaif Ahmad Althunibat mohammad abdallah Thamer Alrawashdeh Faculty of Architecture and Design Al-Zaytoonah University of JordanAmman11733Jordan Faculty of Computer studies Arab Open UniversityRiyadh11681Saudi Arabia Faculty of science and Information Technology Al-Zaytoonah University of JordanAmman11733Jordan

In standard iris recognition systems,a cooperative imaging framework is employed that includes a light source with a near-infrared wavelength to reveal iris texture,look-and-stare constraints,and a close distance requirement to the capture *** these conditions are relaxed,the system’s performance significantly deteriorates due to segmentation and feature extraction ***,a novel segmentation algorithm is proposed to correctly detect the pupil and limbus boundaries of iris images captured in unconstrained ***,the algorithm scans the whole iris image in the Hue saturation Value(HsV)color space for local maxima to detect the sclera *** image quality is then assessed by computing global features in red,green and blue(RGB)space,as noisy images have heterogeneous *** iris images are accordingly classified into seven categories based on their global RGB *** the classification process,the images are filtered,and adaptive thresholding is applied to enhance the global contrast and detect the outer iris ***,to characterize the pupil area,the algorithm scans the cropped outer ring region for local minima values to identify the darkest area in the iris *** experimental results show that our method outperforms existing segmentation techniques using the UBIRIs.v1 and v2 databases and achieved a segmentation accuracy of 99.32 on UBIRIs.v1 and an error rate of 1.59 on UBIRIs.v2.

关键词： Image recognition color segmentation image processing localization

Accuracy and precision of dried urine spot method for the detection of schistosoma mansoni circulating cathodic antigens in resource-limited settings

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Infectious Diseases of Poverty 2024年第1期13卷 103-104页

作者： abdallah Zacharia Clemence Kinabo Twilumba makene Huda Omary George Ogweno Faraja Lyamuya Billy Ngasala muhimbili University of Health and Allied sciences Dar es Salaam Tanzania National Institute for medical Research Mwanza Tanzania Neglected Tropical Diseases Control Program Ministry of Health Dodoma Tanzania

Background The World Health Organization recommends the use of schisto point-of-care circulating cathodic anti-gens(schisto POC-CCA)for screening of schistosoma mansoni as it offers better sensitivity than ***,there are limitation facing the use of this method including timely availability of the test *** aim of this study was to determine the reliability of dried urine spot(DUs)method for collection of urine and detection of *** using schisto POC-CCA cassettes in a resource-limited *** A cross-sectional study was conducted between October and November 2022 among 250 primary school children in sengerema District,northwestern *** CCA was detected in filter paper-based DUss,liquid urine using DUs schisto POC-CCA(index),and direct urine schisto POC-CCA(comparator)methods *** eggs in stool were detected using duplicate Kato-Katz(KK)*** measures of accuracy were com-puted and compared between the index and comparator *** strength of agreement between inter-raters precisions was tested using Cohen's kappa(k).Results This study revealed *** prevalence rates of 28.8%,54.0%and 50.8%by duplicate KK,direct urine schisto POC-CCA and DUs schisto POC-CCA methods *** mean intensity of infection among infected participants Was 86.3 eggs per gram of stool(EPG)ranging from 12.0 EPG to 824.0 *** sensitivity of DUs schisto POC-CCA and direct urine schisto POC-CCA Was 94.44%(95%CI:89.15-99.74%)and 97.22%(95%CI:93.43-100.00%)*** DUs schisto POC-CCA method had slightly higher specificity(66.85%)than direct urine schisto POC-CCA method(63.48%).The accuracy of the DUs schisto POC-CCA Was found to be slightly high(74.80%,95%CI:68.94-79.06%)compared to that of direct urine schisto POC-CCA(73.20%,95%CI:67.25-78.59%).There was good agreement between two laboratory technologists who performed the DUs schisto POC-CCA method on similar samples(k=0.80,95%CI:0.59-0.95).Con

关键词： Accuracy Point-of-care circulating cathodic antigen Dried urine spot schistosoma mansoni sensiti specificity

Adherence to Advisory Committee on Immunization Practices in diabetes mellitus patients in saudi Arabia:A multicenter retrospective study

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World Journal of Diabetes 2024年第3期15卷 440-454页

作者： saleh Fahad Alqifari Aya K Esmail Dalal m Alarifi Ghalya Y Alsuliman maram m Alhati may R mutlaq mohammed Aldhaeefi shaden A Alshuaibi Palanisamy Amirthalingam Abrar abdallah Afaf s Wasel Heba R Hamad shoroq Alamin Tasneem H Atia Tariq Alqahtani Department of Pharmacy Practice University of TabukTabuk 71491Saudi Arabia Department of Clinical sciences Sulaiman Alrajhi UniversityQassim 52726Saudi Arabia Department of Family medicine International Medical CenterJeddah 23214Saudi Arabia Clinical and Administrative Pharmacy sciences College of PharmacyHoward UniversityWashingtonDC 20059United States Department of Pharmacology King Saud Bin Abdulaziz University for Health SciencesKing Abdullah International Medical Research CenterRiyadh 11481Saudi Arabia

BACKGROUND Patients with diabetes mellitus(Dm)are predisposed to an increased risk of infection signifying the importance of vaccination to protect against its potentially severe *** Centers for Disease Control and Prevention/Advisory Committee on Immunization Practices(CDC/ACIP)issued immunization recommendations to protect this patient *** To assess the adherence of patients with Dm to the CDC/ACIP immunization recommendations in saudi Arabia and to identify the factors associated with the vaccine adherence *** An observational retrospective study conducted in 2023 was used to collect data on the vaccination records from 13 diabetes care centers in saudi Arabia with 1000 eligible patients in phase I with data collected through chart review and 709 patients in phase II through online *** Among participants,10.01%(n=71)had never received any vaccine,while 85.89%(n=609)received at least one dose of the coronavirus disease 2019(COVID-19)vaccine,and 34.83%(n=247)had received the annual influenza *** 2.96%(n=21),2.11%(n=15),and 1.12%(n=8)received herpes zoster,tetanus,diphtheria,and pertussis(Tdap),and human papillomavirus(HPV)vaccines,*** patients with Dm in saudi Arabia,the rate of vaccination for annual influenza and COVID-19 vaccines was higher compared to other vaccinations such as herpes zoster,Tdap,pneumococcal,and *** such as vaccine recommendations provided by family physicians or specialists,site of care,income level,Dm-related hospitalization history,residency site,hemoglobin A1c(HbA1c)level,and health sector type can significantly influence the vaccination rate in patients with *** non-vaccinated patients with Dm,the most reported barriers were lack of knowledge and fear of side *** signifies the need for large-scale research in this area to identify additional factors that might facilitate adherence to CDC/ACIP vaccine recommendations in patients with *** In s

关键词： Diabetes mellitus Vaccine recommendation COVID-19 vaccine Influenza vaccine Pneumococcal vaccine Immunization Retrospective study

Planning Target Volume margin in Linac-Based stereotactic Radiosurgery for Brain metastases

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Journal of Cancer Therapy 2024年第7期15卷 265-272页

作者： Hany s. Attallah Radwa m. Hamed Khaled m. EL-shahat Aliaa mahmoud mahmoud abdallah Ibraheem Haggag Emad moustafa Adel Yassin Department of Radiation Oncology International Medical Center (IMC) Cairo Egypt Department of Radiation Oncology Armed Forces Medical Collogue (AFCM) Cairo Egypt Department of medical Physics Al Azhar University Cairo Egypt Department of medical Physics International Medical Center (IMC) Cairo Egypt Department of medical Physics Department of Clinical Oncology Faculty of Medicine Zagazig University Zagazig Egypt

Background: The treatment of brain metastases with radiotherapy has shifted to the use of stereotactic Radio-surgery (sRs). The technical issue of expanding the treatment volume around the Gross Tumor Volume (GTV) is a current debate. Radiotherapy centers use variable GTV-PTV margins, ranging from one to 2 mm. material and methods: We performed a dosimetric comparison in plans of twenty patients using three margins: PTV zero, PTV1, and PTV2. We also developed imaginary Peel volumes. These volumes are described as follows: Peel1 = PTV1 − GTV, Peel2 = PTV2 − GTV. Results: Our results showed that the mean PTV volume differed significantly across the different margins (p = 0.000). The V12 of the brain significantly varied as a function of PTV margin (p = 0.000). The target coverage and plan quality indices were not significantly different. The Peel volume dosimetric analysis showed that the mean dose was significantly higher in the nearby normal brain tissue: Peel1 (p = 0.022) and Peel 2 (p = 0.013). Conclusion: According to our dosimetric analysis, expanding the GTV into a PTV by 1 mm margin is more convenient than 2 mm.

关键词： sRs Brain metastases PTV

Advancing Early Detection of Colorectal Adenomatous Polyps via Genetic Data Analysis: A Hybrid machine Learning Approach

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Journal of Computer and Communications 2024年第7期12卷 23-38页

作者： Ahmed s. maklad mohamed A. mahdy Amer malki Noboru Niki abdallah A. mohamed Computer science Department College of Computer Science and Engineering in Yanbu Taibah University Medina Saudi Arabia Information systems Department Faculty of Computers and Artificial Intelligence Beni-Suef University Beni-Suif Egypt Computer science Department Faculty of Computers and Artificial Intelligence Beni-Suef University Beni-Suif Egypt Institute of Advanced science and Technology Tokushima University Tokushima Japan Information systems Department College of Computer Science and Engineering in Yanbu Taibah University Medina Saudi Arabia mathematics and Computer science Department Faculty of Science Menoufia University Menoufia Egypt

In this study, a hybrid machine learning (HmL)-based approach, incorporating Genetic data analysis (GDA), is proposed to accurately identify the presence of adenomatous colorectal polyps (ACRP) which is a crucial early detector of colorectal cancer (CRC). The present study develops a classification ensemble model based on tuned hyperparameters. surpassing accuracy percentages of early detection approaches used in previous studies, the current method exhibits exceptional performance in identifying ACRP and diagnosing CRC, overcoming limitations of CRC traditional methods that are based on error-prone manual examination. Particularly, the method demonstrates the following CRP identification accuracy data: 97.7 ± 1.1, precision: 94.3 ± 5, recall: 96.0 ± 3, F1-score: 95.7 ± 4, specificity: 97.3 ± 1.2, average AUC: 0.97.3 ± 0.02, and average p-value: 0.0425 ± 0.07. The findings underscore the potential of this method for early detection of ACRP as well as clinical use in the development of CRC treatment planning strategies. The advantages of this approach are highly expected to contribute to the prevention and reduction of CRC mortality.

关键词： Colorectal Adenoma Detection Colorectal Cancer Diagnosis Hybrid machine Learning Genetics Analysis

Oral candidiasis and potential risk factors among disabled and nondisabled in Al-Baha region, saudi Arabia

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World Journal of Clinical Cases 2024年第27期12卷 6077-6086页

作者： Abdullah Ali H Alzahrani Nagesh Bhat Pankaj Kukreja Eltayeb mohammed Alhassan abdallah Ibrahim A mudawi Faisal A Alzahrani mohammad A Albanghali Department of Dental Health Faculty of Applied Medical SciencesAl-Baha UniversityAl Bahah 65731Saudi Arabia Department of Preventive Dental sciences School of DentistryAlBaha UniversityAl Bahah 65731Saudi Arabia Department of Biomedical Dental sciences School of DentistryAlBaha UniversityAl Bahah 65731Saudi Arabia Department of medical services General Administration Public SecurityThe Saudi Ministry of InteriorRiyadh 11235Saudi Arabia Department of Public Health Faculty of Applied Medical SciencesAl-Baha UniversityAl Bahah 65731Saudi Arabia

BACKGROUND Oral candidiasis(OC)is an oral health disease that could influence patients’oral health quality of *** To estimate prevalence of OC among disabled and non-disabled individuals and its potential risk factors in the Al-Baha region,saudi *** An observational cross-sectional study was carried out among 148 disabled and non-disabled *** technique of concentrated oral rinse employing the sabouraud Dextrose Agar medium accompanied with 0.05%chloramphenicol was conducted to assess and isolate *** examination using the World Health Organization guidelines was conducted to examine participants’oral hea-lth status.A pre-designed questionnaire was also used to evaluate sociodemo-graphic,medical history,and oral hygiene habits of the studied *** Out of 148 participants(n=57,38%)had colonized *** of the studied population had visible Candida ***,Candida was found in the oral rinses without the subject presenting any lesions or issues caused by Candida(asymptomatic colonization).The most common prevalent OC among participants were Candida albicans,Candida glabrata,Candida dubliniensis,Candida krusei,Candida tropicalis,and Candida parapsilosis(n=35,61%;n=8,14%;n=6,10%;n=5,9%;n=2,4%;and n=1,2%)***,smoking,poor plaque,and gingival status were key potential risk factors that significantly associated with candida’s density and presence(P=0.001,P=0.001,P=0.01,and P=0.01)*** status had no statistically significant effect on presence and density of *** The prevalence of OC is almost third of the studied population;thus,may provoke a need to develop preventive strategies to reduce the OC rate and establish solid treatment plans.

关键词： Oral health Candida Oral candidiasis Dental public health Disabled Disability Risk factors Epidemiology

Practical approach to linear endoscopic ultrasound examination of the gallbladder

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World Journal of Radiology 2024年第6期16卷 184-195页

作者： Hussein Hassan Okasha Eyad Gadour Hassan Atalla Omar abdallah AbdEl-Hameed Reem Ezzat Ahmed Elsayed Alzamzamy Elsayed Ghoneem Rasha Ahmad matar Zeinab Hassan Bogdan miutescu Ayman Qawasmi Katarzyna m Pawlak Ahmed Elmeligui Department of Internal medicine Division of Gastroenterology and HepatologyKasr Al-Aini School of MedicineCairo UniversityCairo 11562Egypt Department of Gastroenterology and Hepatology King Abdulaziz Hospital-National GuardAhsa 31982Saudi Arabia Department of medicine School of MedicineZamzam University CollegeKhartoum 11113Sudan Department of Internal medicine Hepatology and Gastroenterology UnitFaculty of MedicineMansoura UniversityMansoura 35516Egypt Department of Internal medicine Faculty of MedicineAssiut UniversityAssiut 71511Egypt Department of Gastroenterology and Heptology Maadi Armed Forces Medical ComplexMilitary Medical AcademyCairo 11728Egypt Department of Gastroenterology and Advance Endoscopy Sultant Qaboos Comprehensive Cancer Care and Research CentreMuscat 0961Oman Department of Internal medicine Stockport Hospitals NHS Foundation TrustManchester SK27JEUnited Kingdom Department of Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 300041Romania Advanced Regional Research Centre in Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 30041Romania Department of Gastroenterology Al-Makassed Islamic Charitable Society HospitalCairo 11124Egypt Division of Gastroenterology St.Michael’s HospitalUniversity of TorontoToronto M5B 1W8Canada Department of Gastroenterology Southend University HospitalEssex SS26XTUnited Kingdom

The gallbladder(GB)is a susceptible organ,prone to various pathologies that can be identified using different imaging *** ultrasound(TUs)is typically the initial diagnostic method due to its numerous well-established ***,in cases of uncertainty or when a definitive diagnosis cannot be established,computed tomography(CT)or magnetic resonance imaging may be employed to provide more detailed ***,CT scans may sometimes offer inadequate spatial resolution,which can limit the differentiation of GB lesions,particularly when smaller yet clinically relevant abnormalities are ***,endoscopic ultrasound(EUs)provides higher frequency compared to TUs,superior spatial resolution,and the option for contrast-enhanced harmonic imaging,enabling a more comprehensive ***,EUs can serve as a supplementary tool when conventional imaging methods are *** review will describe the standard EUs examination of the GB,focusing on its endosonographic characteristics in various GB path-ologies.

关键词： Endoscopic ultrasound Linear endoscopic ultrasound Gallbladder anatomy Gallbladder pathologies Therapeutic endoscopic ultrasound

An Optimal Framework for sDN Based on Deep Neural Network

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Computers, materials & Continua 2022年第10期73卷 1125-1140页

作者： abdallah abdallah mohamad Khairi Ishak Nor samsiah sani Imran Khan Fahad RAlbogamy Hirofumi Amano samih m.mostafa Department of Industrial Engineering School of Applied Technical Sciences German Jordanian UniversityAmman35247Jordan school of Electrical and Electronic Engineering Universiti Sains MalaysiaNibong Tebal14300Malaysia Center for Artificial Intelligence Technology Faculty of Information Science and TechnologyThe National University of Malaysia(UKM)Bangi43600SelangorMalaysia Department of Electrical Engineering University of Engineering and TechnologyPeshawar814Pakistan Turabah University College Computer Sciences ProgramTaif UniversityTaif21944Saudi Arabia Research Institute for Information Technology Kyushu UniversityFukuoka819-0395Japan Computer science-mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt

software-defined networking(sDN)is a new paradigm that promises to change by breaking vertical integration,decoupling network control logic from the underlying routers and switches,promoting(logical)network control centralization,and introducing network ***,the controller is similarly vulnerable to a“single point of failure”,an attacker can execute a distributed denial of service(DDos)attack that invalidates the controller and compromises the network security in *** address the problem of DDos traffic detection in sDN,a novel detection approach based on information entropy and deep neural network(DNN)is *** approach contains a DNN-based DDos traffic detection module and an information-based entropy initial inspection *** initial inspection module detects the suspicious network traffic by computing the information entropy value of the data packet’s source and destination Internet Protocol(IP)addresses,and then identifies it using the DDos detection module based on *** assaults were found when suspected irregular traffic was *** reveal that the algorithm recognizes DDos activity at a rate of more than 99%,with a much better accuracy *** false alarm rate(FAR)is much lower than that of the information entropy-based detection ***,the proposed framework can shorten the detection time and improve the resource utilization efficiency.

关键词： Deep neural network computer networks data security optimization