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Hematobiochemical and histopathological alterations in Nile Tilapia(Oreochromis niloticus)exposed to ethidium bromide:The protective role of Spirulina platensis

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Aquaculture and Fisheries 2024年第1期9卷 93-103页

作者： Sabreen Abdullah mervat Naguib Alaa El-Din Salah El-Din Alaa El-Din H.Sayed Zoology Department Faculty of ScienceAswan UniversityAswan81528Egypt Zoology Department Faculty of ScienceAssuit UniversityAssiut71516Egypt

Ethidium bromide(EtBr)is one of the contaminants recorded in aquatic environments whose effects have been investigated;however,there is still limited knowledge about its *** study examined the potential protective effects of Spirulina platensis(SP)against the effects of EtBr toxicity in the Nile tilapia(Oreochromis niloticus)*** were divided to five groups,viz.,a control and four treatment groups of low-dose EtBr(10μg/L),low-dose EtBr with SP(10μg/L EtBr+200 mg/L SP),high-dose EtBr(100μg/L),and high-dose EtBr with SP(100μg/L EtBr+200 mg/L SP);the exposure period was 2 *** and high doses of EtBr induced alterations in some hematological,biochemical,and histopathological *** hepatocytes,degenerated area,vacuolated hepatocytes,pyknotic nuclei,constricted and dilated blood sinusoids,and infiltration of inflammatory cells were *** peroxidation concentration was not significantly different in groups exposed to low doses of EtBr and EtBr with SP,but it was increased in groups exposed to high doses of EtBr and EtBr with SP,compared with the control *** feeding with SP,most histological and histochemical parameters restored to normal ***,SP may possess the ability to preserve the structural integrity of the hepatic and renal membranes.

关键词： Ethidium bromide Spirulina platensis Oreochromis niloticus Liver Lipid peroxidation

Enhancing Canola Yield and Photosynthesis under Water Stress with Hydrogel Polymers

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Phyton-International Journal of Experimental Botany 2024年第7期93卷 1623-1645页

作者： Elham A.Badr Gehan Sh.Bakhoum mervat Sh.Sadak Ibrahim Al-Ashkar Mohammad Sohidul Islam Ayman El Sabagh Magdi T.Abdelhamid Field Crops Research Department National Research CentreCairo12622Egypt Botany Department National Research CentreCairo12622Egypt Plant Production Department College of Food and Agriculture SciencesKing Saud UniversityRiyadh12271Saudi Arabia Department of Agronomy Hajee Mohammad Danesh Science and Technology UniversityDinajpur5200Bangladesh Department of Field Crops Faculty of AgricultureSiirt UniversitySiirt56100Turkey Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafrelsheikh33516Egypt Department of Research Centers Montana State UniversityBozemanMT 59717USA

While Egypt’s canola production per unit area has recently grown,productivity remains low,necessitating increased *** are water-absorbent polymer compounds that can optimize irrigation schedules by increasing the soil’s ability to retain ***,twoﬁeld experiments were conducted to examine hydrogel application to sandy soil on canola growth,biochemical aspects,yield,yield traits,and nutritional quality of yielded seeds grown under water deﬁcit stress *** experiments were conducted by arranging a split-plot layout in a randomized complete block design(RCBD)with three times replications of each *** water stress at 75%or 50%of crop evapotranspiration(ETc)lowered chlorophyll a,chlorophyll b,caro-tenoids,and total pigments content,indole-3-acetic acid,plant development,seed yield,and oil and total carbo-hydrates of seed yield,hydrogel treatment enhanced all of the traits mentioned ***,hydrogel enhanced to gather compatible solutes(proline,amino acids,total soluble sugars),phenolics content in leaves,seed protein,and crop water productivity,which increased while the plants were under water *** results revealed that the full irrigation(100%ETc)along with hydrogel compared to water-stressed(50%ETc)led to enhanced seed yield(kg ha^(-1)),Oil(%),and Total carbohydrates(%)of rapeseed by 57.1%,11.1%and 15.7%,***,under water-stressed plots with hydrogel exhibited enhancement by 10.0%,3.2%and 5.1%in seed yield(kg ha^(-1)),oil(%),and total carbohydrates(%)of rapeseed by 57.1%,11.1%and 15.7%,respec-tively compared to *** a result,the use of hydrogel polymer will be a viable and practical solution for increasing agricultural output under water deﬁcit stress situations.

关键词： Hydrogel oil osmolytes rapeseed yield water stress

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

Enhancing Data Analysis and Automation: Integrating Python with Microsoft Excel for Non-Programmers

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Journal of Software Engineering and Applications 2024年第6期17卷 530-540页

作者： Osama Magdy Ali Mohamed Breik Tarek Aly Atef Tayh Nour El-Din Raslan mervat Gheith Software Engineering Department Faculty of Graduate Studies for Statistical Research Cairo University Giza Egypt

Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision-making across diverse domains. Conversely, Python is indispensable for professional programming due to its versatility, readability, extensive libraries, and robust community support. It enables efficient development, advanced data analysis, data mining, and automation, catering to diverse industries and applications. However, one primary issue when using Microsoft Excel with Python libraries is compatibility and interoperability. While Excel is a widely used tool for data storage and analysis, it may not seamlessly integrate with Python libraries, leading to challenges in reading and writing data, especially in complex or large datasets. Additionally, manipulating Excel files with Python may not always preserve formatting or formulas accurately, potentially affecting data integrity. Moreover, dependency on Excel’s graphical user interface (GUI) for automation can limit scalability and reproducibility compared to Python’s scripting capabilities. This paper covers the integration solution of empowering non-programmers to leverage Python’s capabilities within the familiar Excel environment. This enables users to perform advanced data analysis and automation tasks without requiring extensive programming knowledge. Based on Soliciting feedback from non-programmers who have tested the integration solution, the case study shows how the solution evaluates the ease of implementation, performance, and compatibility of Python with Excel versions.

关键词： Python End-User Approach Microsoft Excel Data Analysis Integration Spreadsheet Programming Data Visualization

Building Custom Spreadsheet Functions with Python: End-User Software Engineering Approach

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Journal of Software Engineering and Applications 2024年第5期17卷 246-258页

作者： Tamer Bahgat Elserwy Atef Tayh Nour El-Din Raslan Tarek Ali mervat H. Gheith Department of Software Engineering Faculty of Graduate Studies for Statistical Research (FGSSR) Cairo University Giza Egypt Department of Information Systems Higher Institute of Advanced Studies Giza Egypt

End-user computing empowers non-developers to manage data and applications, enhancing collaboration and efficiency. Spreadsheets, a prime example of end-user programming environments widely used in business for data analysis. However, Excel functionalities have limits compared to dedicated programming languages. This paper addresses this gap by proposing a prototype for integrating Python’s capabilities into Excel through on-premises desktop to build custom spreadsheet functions with Python. This approach overcomes potential latency issues associated with cloud-based solutions. This prototype utilizes Excel-DNA and IronPython. Excel-DNA allows creating custom Python functions that seamlessly integrate with Excel’s calculation engine. IronPython enables the execution of these Python (CSFs) directly within Excel. C# and VSTO add-ins form the core components, facilitating communication between Python and Excel. This approach empowers users with a potentially open-ended set of Python (CSFs) for tasks like mathematical calculations, statistical analysis, and even predictive modeling, all within the familiar Excel interface. This prototype demonstrates smooth integration, allowing users to call Python (CSFs) just like standard Excel functions. This research contributes to enhancing spreadsheet capabilities for end-user programmers by leveraging Python’s power within Excel. Future research could explore expanding data analysis capabilities by expanding the (CSFs) functions for complex calculations, statistical analysis, data manipulation, and even external library integration. The possibility of integrating machine learning models through the (CSFs) functions within the familiar Excel environment.

关键词： End-User Software Engineering Custom Spreadsheet Functions (CSFs)

Pattern of Potential Laboratory Markers for COVID-19 in Eastern Sudan

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Open Journal of Epidemiology 2024年第3期14卷 508-516页

作者： Nazik Sir El Khatim Bakhit Suliman Mohammed Omer Abaker Gibreel mervat Sir El Khatim Bakhit Suliman Department of Clinical Chemistry College of Medical Laboratory Science Eastern Sudan University of Medical Science and Technology Port Sudan Sudan Dean of the Secretariat of Academic Affairs Port Sudan Ahlia University Port Sudan Sudan Cardiology Department Cath Lab Fujaira Hospital Fujaira UAE

Background: Coronavirus disease 2019 (COVID-19) is a recent global health crisis. One of the major issues of COVID-19 is its unpredictable manifestations and serious outcomes. Many hematological parameters are thought to change dramatically during the course of the disease. These include white blood cells, red blood cells, and platelets. This study aimed at evaluating certain laboratory results;peripheral blood lymphopenia, relative neutrophilia, high neutrophil-lymphocyte ratio, and elevated C-reactive protein as potential laboratory markers of COVID-19 in Eastern Sudanese patients. Methods: We, retrospectively, aimed at the evaluation of peripheral blood leucocytes count, neutrophil-lymphocyte ratio NLR and C-reactive protein (CRP) levels in confirmed COVID-19 eastern Sudanese patients during the course of the disease. Results: The mean total leucocytes count, % neutrophils count, absolute neutrophils count and C-reactive protein (CRP) were significantly higher (P. value = 0.000) in COVID-19 patients than in the control group while the mean % lymphocytes count and % mixed cells count were found to be significantly lower in COVID-19 patients than in the control group (P. value 0.000). Conclusion: Peripheral blood leucocyte alterations (simultaneous presence of lymphopenia, relative neutrophilia and high neutrophil lymphocyte ratio (NLR) along with elevated CRP levels may be valuable biomarkers associated with COVID-19 in Port Sudan city, Red Sea state, Sudan. These markers might be important in prediction, inspection of disease progression and prognosis.

关键词： COVID-19 SARS 2 WBCs CRP NLR Port Sudan

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

Multifaceted perspective on North American urban development

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Frontiers of Architectural Research 2020年第2期9卷 467-483页

作者： Mohamad Kashef mervat El-Shafie College of Architecture&Design Effat UniversityJeddahSaudi Arabia

This study offers a multifaceted perspective on the history and theory of North American urban *** extends a framework that deconstructs the complex urban evolution process into the three stages of assembly,disassembly,and *** development is explained through planning,architectural and critical theoretical *** study examines the inextricable links among land use regulations,public policies,transportation,urban economics,and communication technologies and underlines their impacts on shaping suburbia and downtown *** argues that today’s revived traditional cores and medium-to-high-density mixed use developments are not mere incarnations of historic urban *** responding to certain real-market demands for livable and vibrant urban environments,these quasi-traditional developments are driven by globalization forces and facilitated by cutting-edge technological *** combined evidence from theoretical investigations and interviews with experienced professionals,this research demonstrates the complexity and multidimensionality of urban development processes that require in-depth understanding of current global socioeconomic and technological transformations.

关键词： Urban development Urban theory Urban history Globalization Communication technologies Critical theory