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Exploring the Implications of the Deformation Parameter and Minimal Length in the Generalized Uncertainty Principle

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Journal of Quantum Information Science 2024年第1期14卷 1-14页

作者： mahgoub A. Salih Taysir M. Elmahdi Department of Physics Faculty of Science and Arts in Al-Miznab Qassim University Al Miznab Saudi Arabia

The breakdown of the Heisenberg Uncertainty Principle occurs when energies approach the Planck scale, and the corresponding Schwarzschild radius becomes similar to the Compton wavelength. Both of these quantities are approximately equal to the Planck length. In this context, we have introduced a model that utilizes a combination of Schwarzschild’s radius and Compton length to quantify the gravitational length of an object. This model has provided a novel perspective in generalizing the uncertainty principle. Furthermore, it has elucidated the significance of the deforming linear parameter β and its range of variation from unity to its maximum value.

关键词： Generalized Uncertainty Principle Deformed Heisenberg Algebra Minimal Length

Critical review of recent development in fiber reinforced adobe bricks for sustainable construction

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Frontiers of Structural and Civil Engineering 2020年第4期14卷 839-854页

作者： mahgoub MSALIH Adelaja IOSOFERO Mohammed SIMBABI School of Engineering University of AberdeenAberdeen AB243FXUK

This paper presents a state-of-the-art review of research on the utilization of fibers(predominantly derived from waste materials)as reinforcement in adobe brick *** of these wastes provides sustainable construction materials and helps to protect the *** preparation and test procedures are *** effects of addition of these wastes on the physical and mechanical properties of adobe bricks as presented in the literature,are *** main results for each additive are presented and *** is concluded that improved adobe brick properties can be expected with the addition of combination of waste *** use of waste materials in the construction industry is generally of interest and useful for engineers and designers seeking sustainable solutions in *** is also of interest to researchers actively seeking to develop methodical approaches to quantifying,optimising and testing the performance in use of such waste material additives.

关键词： adobe bricks fibre reinforced bricks green sustainable building material physical and mechanical properties

Patch-based vehicle logo detection with patch intensity and weight matrix

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Journal of Central South University 2015年第12期22卷 4679-4686页

作者：刘海明黄樟灿 Ahmed mahgoub Ahmed Talab School of Science Wuhan University of Technology College of Engineering Elimam ELMahdi University

A patch-based method for detecting vehicle logos using prior knowledge is *** representing the coarse region of the logo with the weight matrix of patch intensity and position,the proposed method is robust to bad and complex environmental *** bounding-box of the logo is extracted by a thershloding *** results show that 93.58% location accuracy is achieved with 1100 images under various environmental conditions,indicating that the proposed method is effective and suitable for the location of vehicle logo in practical applications.

关键词： vehicle logo detection prior knowledge gradient extraction patch intensity weight matrix background removing

Cultured meat from muscle stem cells: A review of challenges and prospects

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Journal of Integrative Agriculture 2015年第2期14卷 222-233页

作者： Isam T Kadim Osman mahgoub Senan Baqir Bernard Faye Roger Purchas Department of Animal and Veterinary Sciences College of Agricultural and Marine Sciences Sultan Qaboos UniversityMuscat PC. 123 Sultanate of Oman Department of Biology College of Science Sultan Qaboos UniversityMuscat PC. 123 Sultanate of Oman FAO Consultant Camel ProjectAl-Kharj 11941 Saudi Arabia Institute of Food Nutrition & Human Health Massey University Palmerston North Private Bag 11 222New Zealand

Growing muscle tissue in culture from animal stem cells to produce meat theoretically eliminates the need to sacrifice animals. So-called ＂cultured＂ or ＂synthetic＂ or ＂in vitro＂ meat could in theory be constructed with different characteristics and be produced faster and more efficiently than traditional meat. The technique to generate cultured muscle tissues from stem cells was described long ago, but has not yet been developed for the commercial production of cultured meat products. The technology is at an early stage and prerequisites of implementation include a reasonably high level of consumer acceptance, and the development of commercially-viable means of large scale production. Recent advancements in tissue culture techniques suggest that production may be economically feasible, provided it has physical properties in terms of colour, flavour, aroma, texture and palatability that are comparable to conventional meat. Although considerable progress has been made during recent years, important issues remain to be resolved, including the characterization of social and ethical constraints, the fine-tuning of culture conditions, and the development of culture media that are cost-effective and free of animal products. Consumer acceptance and confidence in in vitro produced cultured meat might be a significant impediment that hinders the marketing process.

关键词： cultured meat conventional meat environmental impact stem cells

A Novel Approach to Heart Failure Prediction and Classification through Advanced Deep Learning Model

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World Journal of Cardiovascular Diseases 2023年第9期13卷 586-604页

作者： Abdalla mahgoub Dubai United Arab Emirates

In this study, the author will investigate and utilize advanced machine learning models related to two different methodologies to determine the best and most effective way to predict individuals with heart failure and cardiovascular diseases. The first methodology involves a list of classification machine learning algorithms, and the second methodology involves the use of a deep learning algorithm known as MLP or Multilayer Perceptrons. Globally, hospitals are dealing with cases related to cardiovascular diseases and heart failure as they are major causes of death, not only for overweight individuals but also for those who do not adopt a healthy diet and lifestyle. Often, heart failures and cardiovascular diseases can be caused by many factors, including cardiomyopathy, high blood pressure, coronary heart disease, and heart inflammation [1]. Other factors, such as irregular shocks or stress, can also contribute to heart failure or a heart attack. While these events cannot be predicted, continuous data from patients’ health can help doctors predict heart failure. Therefore, this data-driven research utilizes advanced machine learning and deep learning techniques to better analyze and manipulate the data, providing doctors with informative decision-making tools regarding a person’s likelihood of experiencing heart failure. In this paper, the author employed advanced data preprocessing and cleaning techniques. Additionally, the dataset underwent testing using two different methodologies to determine the most effective machine-learning technique for producing optimal predictions. The first methodology involved employing a list of supervised classification machine learning algorithms, including Naïve Bayes (NB), KNN, logistic regression, and the SVM algorithm. The second methodology utilized a deep learning (DL) algorithm known as Multilayer Perceptrons (MLPs). This algorithm provided the author with the flexibility to experiment with different layer sizes and activation

关键词： Heart Disease Prediction Cardiovascular Disease Machine Learning Algorithms Lazy Predict Multilayer Perceptrons (MLPs) Data Science Techniques and Analysis Deep Learning Activation Functions

Advances in healthcare wearable devices

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npj Flexible Electronics 2021年第1期5卷 73-86页

作者： Sheikh M.A.Iqbal Imadeldin mahgoub E Du Mary Ann Leavitt Waseem Asghar Department of Computer and Electrical Engineering&Computer Science Florida Atlantic UniversityBoca RatonFLUSA Asghar-Lab Micro and Nanotechnology in MedicineCollege of Engineering and Computer ScienceBoca RatonFLUSA Department of Ocean and Mechanical Engineering Florida Atlantic UniversityBoca RatonFLUSA Christine E.Lynn College of Nursing Florida Atlantic UniversityBoca RatonFLUSA Department of Biological Sciences(Courtesy appointment) Florida Atlantic UniversityBoca RatonFLUSA

Wearable devices have found numerous applications in healthcare ranging from physiological diseases,such as cardiovascular diseases,hypertension and muscle disorders to neurocognitive disorders,such as Parkinson’s disease,Alzheimer’s disease and other psychological *** types of wearables are used for this purpose,for example,skin-based wearables including tattoobased wearables,textile-based wearables,and biofluidic-based ***,wearables have also shown encouraging improvements as a drug delivery system;therefore,enhancing its utility towards personalized *** wearables contain inherent challenges,which need to be addressed before their commercialization as a fully personalized healthcare *** paper reviews different types of wearable devices currently being used in the healthcare *** also highlights their efficacy in monitoring different diseases and applications of healthcare wearable devices(HWDs)for diagnostic and treatment ***,current challenges and limitations of these wearables in the field of healthcare along with their future perspectives are also reviewed.

关键词： wear healthcare challenges

Artificial Intelligence Based Clustering with Routing Protocol for Internet of Vehicles

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Computers, Materials & Continua 2022年第3期70卷 5835-5853页

作者： Manar Ahmed hamza haya Mesfer Alshahrani Fahd NAl-Wesabi Mesfer Al Duha.yim Anwer Mustafa Hilal ha.y mahgoub Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

With recent advances made in Internet of Vehicles(IoV)and Cloud Computing(CC),the Intelligent Transportation Systems(ITS)find it advantageous in terms of improvement in quality and interactivity of urban transportation service,mitigation of costs incurred,reduction in resource utilization,and improvement in traffic management *** trafficrelated problems in future smart cities can be sorted out with the incorporation of IoV in *** communication enables the collection and distribution of real-time essential data regarding road network *** this scenario,energy-efficient and reliable intercommunication routes are essential among vehicular nodes in sustainable urban *** this motivation,the current research article presents a new Artificial Intelligence-based Energy Efficient Clustering with Routing(AI-EECR)Protocol for IoV in urban *** proposed AI-EECR protocol operates under three stages namely,network initialization,Cluster Head(CH)selection,and routing *** presented AI-EECR protocol determines the CHs from vehicles with the help of Quantum Chemical Reaction Optimization(QCRO)*** a fitness function with the help of vehicle speed,trust level,and energy level of the *** order to make appropriate routing decisions,a set of relay nodeswas selected usingGroup Teaching Optimization Algorithm(GTOA).The performance of the presented AI-EECR model,in terms of energy efficiency,was validated against different aspects and a brief comparative analysis was *** experimental outcomes established that AI-EECR model outperformed the existing methods under different measures.

关键词： Vehicular communication internet of vehicles energy efficient smart transportation smart city urban computing

Space-Energy Duality Generalized 4-Index Einstein Field Equation

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International Journal of Astronomy and Astrophysics 2023年第4期13卷 281-297页

作者： mahgoub A. Salih Department of Physics Faculty of Science and Arts in Al-Miznab Qassim University Al Miznab Saudi Arabia

The introduction of a new concept of space-energy duality serves to extend the applicability of the Einstein field equation in the context of a 4-index framework. The utilization of the Weyl tensor enables the derivation of Einstein’s equations in the 4-index format. Additionally, a two-index field equation is presented, comprising a conventional Einstein field equation and a trace-free Einstein equation. Notably, the cosmological constant is associated with a novel concept that facilitates the encoding of space and energy information, thereby enabling the recognition of mutual interactions between space and energy in the presence of gravitational forces, as dictated by Einstein’s field equations (EFE) and Trace-Free Einstein Equation (TFE).

关键词： Einstein Field Equation Trace-Free Einstein Equation 4-Index Cosmological Constant

Complex Maxwell’s Equations

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Journal of Modern Physics 2023年第12期14卷 1662-1671页

作者： mahgoub A. Salih Department of Physics Faculty of Science and Arts in Al-Miznab Qassim University Al Miznab Saudi Arabia

Maxwell’s equations in electromagnetism can be categorized into three dis-tinct groups based on the electromagnetic source when employing quaterni-ons. Each group represents a self-contained system in which Maxwell’s equations are applied and validated concurrently, in contrast to the previous approach that did not account for this. It has been noted that the formulation of these Maxwell equations ultimately results in the formulation of Max-well’s equations utilizing the scalar function.

关键词： Maxwell’s Equations Scalar Function Proca Equation Gage Transformation Quaternion