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Prevalence of intestinal parasitic infections and its relationship with socio-demographics and hygienic habits among male primary schoolchildren in Al-Ahsa,Saudi Arabia

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Asian Pacific Journal of Tropical Medicine 2010年第11期3卷 906-912页

作者： Hamdan Ibrahim Al-Mohammed tarek tawfik amin Elsayed Aboulmagd Hatem Refaat Hablus Burhan Omar Zaza Department of Medical Microbiology and Parasitology College of MedicineKing Faisal UniversitySaudi Arabia Department of Community Medicine Faculty of MedicineCairo UniversityEgypt Department of Paediatrics College of MedicineKing Faisal UniversitySaudi Arabia Technical Director School Health Preventive ServicesMinistry of EducationAl-Hofuf DirectorateSaudi Arabia

Objective:To investigate the prevalence of different intestinal parasitic infections among male primary schoolchildren in Al-Ahsa,Saudi Arabia,and to explore the possible relative socioeconomic, environmental and behavioural sanitary ***:A cross-sectional descriptive study was performed.A total of 1 289 male students aged from 7 to 12 years were selected randomly from 20 urban and 12 rural primary schools by multistage sampling method. Data collection was carried out by self administered questionnaire form to the parents/guardians of students and included inquires about socio-demographics,environmental conditions,and behavioural sanitary *** analysis was carried out to examine the presence of intestinal parasitic ***:Overall prevalence of parasitic infections was 27.2%,more among rural *** encountered infections included Entamoeba histolytica/dispar(8.2%), Giardia lamblia(6.5%),Entamoeba coli(4.0%) and Enterobius vermicularis(1.6%).Logistic regression revealed that lower maternal educational level and occupational status,low family income,big family size,poor personal hygienic practices and positive history of previous intestinal infections among family members increased the likelihood of ***: Although of low magnitude,intestinal parasitic infections still represent a public health concern among male schoolchildren in Al-Ahsa ***-demographic and poor personal hygienic habits are the main predictors for these infections.

关键词： Intestinal parasitic infections Schoolchildren Epidemiological correlates Hygiene Saudi Arabia

Enable Excel-Based Basic Cybersecurity Features for End Users by Using Python-Excel Integration

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Journal of Software Engineering and Applications 2024年第6期17卷 522-529页

作者： Mohamed Breik Osama Magdy Essam amin tarek Aly Mervat Gheith Software Engineering Department Faculty of Graduate Studies for Statistical Research Cairo University Cairo Egypt

In the digital age, the global character of the Internet has significantly improved our daily lives by providing access to large amounts of knowledge and allowing for seamless connections. However, this enormously interconnected world is not without its risks. Malicious URLs are a powerful menace, masquerading as legitimate links while holding the intent to hack computer systems or steal sensitive personal information. As the sophistication and frequency of cyberattacks increase, identifying bad URLs has emerged as a critical aspect of cybersecurity. This study presents a new approach that enables the average end-user to check URL safety using Microsoft Excel. Using the powerful VirusTotal API for URL inspections, this study creates an Excel add-in that integrates Python and Excel to deliver a seamless, user-friendly interface. Furthermore, the study improves Excel’s capabilities by allowing users to encrypt and decrypt text communications directly in the spreadsheet. Users may easily encrypt their conversations by simply typing a key and the required text into predefined cells, enhancing their personal cybersecurity with a layer of cryptographic secrecy. This strategy democratizes access to advanced cybersecurity solutions, making attentive digital integrity a feature rather than a daunting burden.

关键词： Python End-User Approach Excel Excel Add-In Cybersecurity URL Check API Virustotal API Encryption Decryption Vigenère Cipher Python-Excel Integration

Advancing Crowd Object Detection: A Review of YOLO, CNN and ViTs Hybrid Approach*

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Journal of Intelligent Learning Systems and Applications 2024年第3期16卷 175-221页

作者： Mahmoud Atta Mohammed Ali tarek Aly Atef Tayh Raslan Mervat Gheith Essam A. amin Faculty of Graduate Studies for Statistical Research Software Engineering Department Cairo University Giza Egypt

One of the most basic and difficult areas of computer vision and image understanding applications is still object detection. Deep neural network models and enhanced object representation have led to significant progress in object detection. This research investigates in greater detail how object detection has changed in the recent years in the deep learning age. We provide an overview of the literature on a range of cutting-edge object identification algorithms and the theoretical underpinnings of these techniques. Deep learning technologies are contributing to substantial innovations in the field of object detection. While Convolutional Neural Networks (CNN) have laid a solid foundation, new models such as You Only Look Once (YOLO) and Vision Transformers (ViTs) have expanded the possibilities even further by providing high accuracy and fast detection in a variety of settings. Even with these developments, integrating CNN, YOLO and ViTs, into a coherent framework still poses challenges with juggling computing demand, speed, and accuracy especially in dynamic contexts. Real-time processing in applications like surveillance and autonomous driving necessitates improvements that take use of each model type’s advantages. The goal of this work is to provide an object detection system that maximizes detection speed and accuracy while decreasing processing requirements by integrating YOLO, CNN, and ViTs. Improving real-time detection performance in changing weather and light exposure circumstances, as well as detecting small or partially obscured objects in crowded cities, are among the goals. We provide a hybrid architecture which leverages CNN for robust feature extraction, YOLO for rapid detection, and ViTs for remarkable global context capture via self-attention techniques. Using an innovative training regimen that prioritizes flexible learning rates and data augmentation procedures, the model is trained on an extensive dataset of urban settings. Compared to solo YOLO,

关键词： Object Detection Deep Learning Computer Vision YOLO Convolutional Neural Networks (CNN) Vision Transformers Neural Networks Transfer Learning Autonomous Driving Self-Drive Vehicles

An Improved Enterprise Resource Planning System Using Machine Learning Techniques

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Journal of Software Engineering and Applications 2024年第5期17卷 203-213页

作者： Ahmed Youssri Zakaria Elsayed Abdelbadea Atef Raslan tarek Ali Mervat Gheith Al-Sayed Khater Essam A. amin Department of Software Engineering Faculty of Graduate Studies for Statistical Research (FGSSR) Cairo University Giza Egypt

Traditional Enterprise Resource Planning (ERP) systems with relational databases take weeks to deliver predictable insights instantly. The most accurate information is provided to companies to make the best decisions through advanced analytics that examine the past and the future and capture information about the present. Integrating machine learning (ML) into financial ERP systems offers several benefits, including increased accuracy, efficiency, and cost savings. Also, ERP systems are crucial in overseeing different aspects of Human Capital Management (HCM) in organizations. The performance of the staff draws the interest of the management. In particular, to guarantee that the proper employees are assigned to the convenient task at the suitable moment, train and qualify them, and build evaluation systems to follow up their performance and an attempt to maintain the potential talents of workers. Also, predicting employee salaries correctly is necessary for the efficient distribution of resources, retaining talent, and ensuring the success of the organization as a whole. Conventional ERP system salary forecasting methods typically use static reports that only show the system’s current state, without analyzing employee data or providing recommendations. We designed and enforced a prototype to define to apply ML algorithms on Oracle EBS data to enhance employee evaluation using real-time data directly from the ERP system. Based on measurements of accuracy, the Random Forest algorithm enhanced the performance of this system. This model offers an accuracy of 90% on the balanced dataset.

关键词： ERP HCM Machine Learning Employee Performance Pythonista Pythoneer

Barrett's esophagus:Prevalence and risk factors in patients with chronic GERD in Upper Egypt

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World Journal of Gastroenterology 2009年第28期15卷 3511-3515页

作者： Yasser M Fouad Madiha M Makhlouf Heba M tawfik Hussein El amin Wael Abdel Ghany Hisham R El-khayat Department of Tropical Medicine and Gastroenterology Minya University Department of Pathology Minya University Department of Internal Medicine Gastroenterology Unit Assuit University Department of Gastroenterology Theodore Bilharz Research Institute

AIM： To determine the prevalence and possible risk factors of Barrett＇s esophagus （BE） in patients with chronic gastroesophageal reflux disease （GERD） in EI Minya and Assuit, Upper Egypt. METHODS： One thousand consecutive patients with chronic GERD symptoms were included in the study over 2 years. They were subjected to history taking including a questionnaire for GERD symptoms, clinical examination and upper digestive tract endoscopy. Endoscopic signs suggestive of columnar-lined esophagus （CLE） were defined as mucosal tongues or an upward shift of the squamocolumnar junction. BF was diagnosed by pathological examination when specialized intestinal metaplasia was detected histologically in suspected CLE. pH was monitored in 40 patients. RESULTS： BE was present in 7.3% of patients with chronic GERD symptoms, with a mean age of 48.3 ± 8.2 years, which was significantly higher than patients with GERD without BE （37.4 ± 13.6 years）. Adenocarcinoma was detected in eight cases （0.8%）, six of them in BE patients. There was no significant difference between patients with BE and GERD regarding sex, smoking, alcohol consumption or symptoms of GERD. Patients with BE had significantly longer esophageal acid exposure time in the supine position, measured by pH monitoring. CONCLUSION： The prevalence of BE in patients with GERD who were referred for endoscopy was 7.3%. BE seems to be associated with older age and more in patients with nocturnal gastroesophageal reflux.

关键词： Barrett's esophagus Gastrointestinal Endoscopy Gastroesophageal reflux Risk factors

SMILE intraoperative complications: incidence and management

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International Journal of Ophthalmology(English edition) 2019年第2期12卷 280-283页

作者： Abdelmonem M Hamed Mohamed amin Heikal tarek T.Soliman Ahmed Daifalla Khaled E Said-Ahmed Benha University Department of Ophthalmology Menoufia University Department of Ophthalmology

AIM: To report the intraoperative complications associated with small incision lenticule extraction(SMILE) and their management. METHODS: This was a retrospective consecutive interventional clinical study, carried out on patients with myopia and myopic astigmatism, who underwent SMILE procedure. Type of intraoperative complications and their management were recorded. RESULTS: Our study comprised 282 eyes of 141 patients who were enrolled for SMILE surgeries. The intraoperative complications included lost vacuum(18 eyes, 6.38%), treatment decentration(6 eyes, 2.12%), wound bleeding(21 eyes, 7.45%), incomplete bubble separation(black islands)(3 eyes, 1.06%), the epithelial defects(15 eyes, 5.32%). Incision tear(27 eyes, 9.57%), lenticule adherence to the cap(6 eyes, 2.12%), and cap perforation occurred in 2 eyes(0.7%). CONCLUSION: Although SMILE is a promising technique for the correction of myopia and myopic astigmatism with predictable, efficient, safe refractive and visual outcomes, complications can occur. However, most of them are related to inexperience and are included in the learning curve of the technique. More studies with a bigger number of eyes are required to efficiently evaluate the intraoperative complications and standardize their management strategies.

关键词： femtosecond laser intraoperative complication small incision lenticule extraction

Interaction of ²⁸Si with Emulsion Nuclei at 4.5 AGeV/c in View of Thermo-Statistical Approach

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Journal of Applied Mathematics and Physics 2023年第3期11卷 629-638页

作者： Mohamed tawfik Ghoneim Zeinab Abdel-Halim Mohamed tarek Hussein Faculty of Science Cairo University Cairo Egypt

In this work, we study some changes of nuclear matter in the interactions of 28Si with emulsion nuclei at 4.5 AGeV/c. From the experimental quantities investigated using Tsallis’ statistics, we deduced the temperature, entropy density and non-equilibrium factor of the nuclear medium. These obtained parameters were used to reveal variations in the nuclear matter at the stated interaction energy. The results that came up from this study were compared with their corresponding results obtained from other heavy ion collision experiments at wide energy range.

关键词： Silicon Nuclear Emulsion Rapidity Heavy Ions Collision

Signs of Phase Transition in High Energy Proton-Proton Collisions

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Journal of Applied Mathematics and Physics 2022年第6期10卷 1887-1897页

作者： Mohamed tarek Hussein Mohamed tawfik Ghoneim Zeinab Abdel-Halim Faculty of Science Cairo University Cairo Egypt

The present work aims to study the possible states of matter and the location of phase boundaries between hadronic gas and the quark-gluon plasma QGP. The boundary at the hadron freeze-out is also considered. Proton-proton collisions at a wide range of center of mass energies are used to examine the phase transition (entropy-temperature) diagram. Local thermodynamic equilibrium is assumed at different intervals of rapidity space. The entropy of the system is expressed in terms of the multiplicity of hadron production in each interval. However, the local temperature is estimated using the average transverse momentum. The values of the critical temperatures are found at the boundaries of the phases with a quite clear description of the states.

关键词： Proton-Proton Collision Quark-Gluon Plasma (QGP) Phase Transition Quantum Chromo Dynamics (QCD)

Proton-Proton Collisions in View of Thermo-Statistical Approach

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Journal of High Energy Physics, Gravitation and Cosmology 2023年第2期9卷 475-488页

作者： Mohamed tarek Hussein Zeinab Abdel-Halim Mohamed tawfik Ghoneim Faculty of Science Cairo University Cairo Egypt

The data of charged particles produced in proton-proton collisions extracted from Durham particle data group at energy ranges √s = 6.3 - 17 GeV and at 0.9 - 7 TeV are investigated in the framework of Tsallis thermo-statistics and the Vlasov time dynamics. The analysis can describe the experimental data well all-over the considered energies and rapidity intervals. The variation of the collision parameters (chemical potential, entropy index and the time of evolution) is studied and discussed as a function of the final state temperature. According to the obtained result, a scenario, and a script of the time evolution for the particle production is simulated by the pp collision.

关键词： High Energy Particle Collisions Statistical Thermodynamic Analysis Phase Transition