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Nuclear Science and Techniques 2018年第1期29卷 65-76页

作者： i.m.a.tag-eldin m.m.Taha S.S.A.Hassan Nuclear Experimental Physics Department Nuclear Research Center Atomic Energy Authority mathematics and Theoretical Physics Department Nuclear Research Center Atomic Energy Authority

Elastic scattering differential cross sections for a p- ~4He system are calculated within the framework of optical limit approximation of the Glauber multiple scattering model. Three different ranges for proton energy(E_(lab)), 19〈E_(lab)〈50 me V, 100≤E_(lab)≤1730 me V, and 45 ≤E_(lab)≤393 Ge V are considered. it is shown that the Pauli blocking fails to describe the data up to the proton energy, E_(lab)〈100 me V. For higher proton energies, a qualitative agreement is obtained. The observed elastic scattering differential cross section is nicely reproduced in the whole range of scattering angles in the center of mass system up to Θ_(c.m.)〈200° for 19〈E_(lab) ≤100 me V when the effect of both the nucleon–nucleon(NN) phase variation parameter γNN and higher-order momentum transfer components(λ_n; n = 1 and 2) of(NN) elastic scattering amplitude is included. in the range of 200 E_(lab) 1730 me V, introducing λ_n plays a significant role in describing the data up to the momentum transfer, q^2≤1:2(Ge V/c)~***, it is found that considering only the effect of phase variation parameter, cNN, improved the agreement in the region of minima for elastic scattering differential cross section for 45≤E_(lab)≤393 Ge V. The values of cNNand kn as a function of incident proton energies are presented.

关键词： Elastic scattering Optical limit approximation Glauber multiple scattering model

Arctic sea-ice extent: No record minimum in 2023 or recent years

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Atmospheric and Oceanic Science Letters 2025年第1期18卷 52-55页

作者： Ola m.Johannessen Tor i.Olaussen Nansen Scientific Society BergenNorway Nansen Environmental and Remote Sensing Center BergenNorway

Arctic sea-ice extent reaches its minimum each year in September. On 11 September 2023 the minimum was 4.969 million square kilometers(***^(2)). This was not a record low, which occurred in 2012, when the minimum was 4.175 ***^(2), 0.794 ***^(2) less than the minimum in 2023. However, the ice extent had decreased by 0.432 ***^(2) compared with 2022. Nevertheless, the summer melting in 2023 was remarkably less than expected when considering the strong heat waves in the atmosphere and ocean, with record temperatures set around the world. in general, there is a high correlation between the long-term decrease in sea-ice extent and the increasing CO_(2) in the atmosphere, where the increase of CO_(2) in recent decades explains about 80% of the decrease in sea ice in September, while the remainder is caused by natural variability.

关键词： Sea ice Arctic minimum ice Climate

Blockchain and iioT Enabled Solution for Social Distancing and isolation management to Prevent Pandemics

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Computers, materials & Continua 2023年第7期76卷 687-709页

作者： muhammad Saad maaz Bin Ahmad muhammad Asif muhammad Khalid Khan Toqeer mahmood Elsayed tag eldin Hala Abdel Hameed College of Computing and information Sciences Karachi Institute of Economics&TechnologyKarachiPakistan Department of Computer Science Lahore Garrison UniversityLahorePakistan Department of Computer Science National Textile UniversityFaisalabad37610Pakistan Faculty of Engineering and Technology Future University in Egypt New Cairo11835Egypt Faculty of Computer and information Systems Fayoum UniversityFaiyumEgypt Khaybar Applied College Taibah UniversityMedinaSaudi Arabia

Pandemics have always been a nightmare for humanity,especially in developing *** lockdowns are considered one of the effective ways to deal with spreading such ***,developing countries cannot afford such solutions because these may severely damage the country’s ***,this study presents the proactive technological mechanisms for business organizations to run their standard business processes during pandemic-like situations *** novelty of this study is to provide a state-of-the-art solution to prevent pandemics using industrial internet of things(iioT)and blockchain-enabled *** to existing studies,the immutable and tamper-proof contact tracing and quarantine management solution is *** use of advanced technologies and information security is a critical area for practitioners in the internet of things(ioT)and corresponding ***,this study also emphasizes information security,end-to-end solution,and experimental ***,a wearable wristband is proposed,incorporating 4G-enabled ultra-wideband(UWB)technology for smart contact tracing mechanisms in industries to comply with standard operating procedures outlined by the world health organization(WHO).Secondly,distributed ledger technology(DLT)omits the centralized dependency for transmitting contact tracing ***,a privacy-preserving tracing mechanism is discussed using a public/private key cryptography-based authentication ***,based on geofencing techniques,blockchain-enabled machine-to-machine(m2m)technology is proposed for quarantine *** step-by-step methodology and test results are proposed to ensure contact tracing and quarantine *** existing research studies,the security aspect is also considered in the realm of *** practical implementation of the proposed solution also obtains the *** results indicate the successful implementation of blockchain-enabled contac

关键词： Blockchain contact tracing distributed ledger technology geo-fencing internet of things industrial internet of things isolation management social distancing ultra-wideband

3D-CNNHSR: A 3-Dimensional Convolutional Neural Network for Hyperspectral Super-Resolution

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Computer Systems Science & Engineering 2023年第11期47卷 2689-2705页

作者： mohd Anul Haq Siwar Ben Hadj Hassine Sharaf J.malebary Hakeem A.Othman Elsayed m.tag-eldin Department of Computer Science College of Computer and Information Sciences Majmaah UniversityAlmajmaah11952Saudi Arabia Department of Computer Science College of Science and Arts at MuhayelKing Khalid UniversitySaudi Arabia Department of information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityP.O.Box 344Rabigh21911Saudi Arabia Department of mathematics AL-Qunfudhah University CollegeUmm Al-Qura UniversityKSASaudi Arabia Faculty of Engineering and Technology Future University in EgyptNew Cairo11835Egypt

Hyperspectral images can easily discriminate different materials due to their fine spectral ***,obtaining a hyperspectral image(HSi)with a high spatial resolution is still a challenge as we are limited by the high computing *** spatial resolution of HSi can be enhanced by utilizing Deep Learning(DL)based Super-resolution(SR).A 3D-CNNHSR model is developed in the present investigation for 3D spatial super-resolution for HSi,without losing the spectral *** 3DCNNHSR model was tested for the Hyperion *** pre-processing of the HSi was done before applying the SR model so that the full advantage of hyperspectral data can be utilized with minimizing the *** key innovation of the present investigation is that it used 3D convolution as it simultaneously applies convolution in both the spatial and spectral dimensions and captures spatial-spectral *** clustering contiguous spectral content together,a cube is formed and by convolving the cube with the 3D kernel a 3D convolution is *** 3D-CNNHSR model was compared with a 2D-CNN model,additionally,the assessment was based on higherresolution data from the Sentinel-2 *** on the evaluation metrics it was observed that the 3D-CNNHSR model yields better results for the SR of HSi with efficient computational speed,which is significantly less than previous studies.

关键词： CNN super-resolution deep learning hyperspectral data computer vision

Classification and Diagnosis of Lymphoma’s Histopathological images Using Transfer Learning

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Computer Systems Science & Engineering 2022年第2期40卷 629-644页

作者： Schahrazad Soltane Sameer Alsharif Salwa m.Serag eldin College of Computers and information Technology Computer Engineering DepartmentTaif UniversityTaifKingdom of Saudi Arabia

Current cancer diagnosis procedure requires expert knowledge and is time-consuming,which raises the need to build an accurate diagnosis support system for lymphoma identification and *** studies have shown promising results using machine Learning and,recently,Deep Learning to detect malignancy in cancer ***,the diversity and complexity of the morphological structure of lymphoma make it a challenging classification *** literature,many attempts were made to classify up to four simple types of *** paper presents an approach using a reliable model capable of diagnosing seven different categories of rare and aggressive *** Lymphoma types are Classical Hodgkin Lymphoma,Nodular Lymphoma Predominant,Burkitt Lymphoma,Follicular Lymphoma,mantle Lymphoma,Large B-Cell Lymphoma,and T-Cell *** proposed approach uses Residual Neural Networks,ResNet50,with a Transfer Learning for lymphoma’s detection and *** model used results are validated according to the performance evaluation metrics:Accuracy,precision,recall,F-score,and kappa score for the seven *** algorithms are tested,and the results are validated on 323 images of 224×224 pixels *** results are promising and show that our used model can classify and predict the correct lymphoma subtype with an accuracy of 91.6%.

关键词： Classification confusion matrices deep learning k-fold cross validation lymphoma diagnosis residual neural network transfer learning

Robust malicious Executable Detection Using Host-Based machine Learning Classifier

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Computers, materials & Continua 2024年第4期79卷 1419-1439页

作者： Khaled Soliman mohamed Sobh Ayman m.Bahaa-eldin Department of Computer and Systems Engineering Ain Shams UniversityCairo11517Egypt Department of Computer Engineering Technology ElSewedy University of TechnologyCairo44629Egypt

The continuous development of cyberattacks is threatening digital transformation endeavors worldwide and leadsto wide losses for various organizations. These dangers have proven that signature-based approaches are insufficientto prevent emerging and polymorphic attacks. Therefore, this paper is proposing a Robust malicious ExecutableDetection (RmED) using Host-based machine Learning Classifier to discover malicious Portable Executable (PE)files in hosts using Windows operating systems through collecting PE headers and applying machine learningmechanisms to detect unknown infected files. The authors have collected a novel reliable dataset containing 116,031benign files and 179,071 malware samples from diverse sources to ensure the efficiency of RmED *** most effective PE headers that can highly differentiate between benign and malware files were selected totrain the model on 15 PE features to speed up the classification process and achieve real-time detection formalicious executables. The evaluation results showed that RmED succeeded in shrinking the classification timeto 91 milliseconds for each file while reaching an accuracy of 98.42% with a false positive rate equal to 1.58. inconclusion, this paper contributes to the field of cybersecurity by presenting a comprehensive framework thatleverages Artificial intelligence (Ai) methods to proactively detect and prevent cyber-attacks.

关键词： Portable executable malware intrusion detection cybersecurity zero-day threats Host intrusionDetection System(HiDS) machine learning Anomaly-based intrusion Detection System(AiDS) deep learning

Neurogenesis dynamics in the olfactory bulb:deciphering circuitry organization, function, and adaptive plasticity

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Neural Regeneration Research 2025年第6期20卷 1565-1581页

作者： moawiah m.Naffaa Department of Psychology and Neuroscience Duke UniversityDurhamNCUSA Department of Cell Biology Duke University School of MedicineDurhamNCUSA

Adult neurogenesis persists after birth in the subventricular zone, with new neurons migrating to the granule cell layer and glomerular layers of the olfactory bulb, where they integrate into existing circuitry as inhibitory interneurons. The generation of these new neurons in the olfactory bulb supports both structural and functional plasticity, aiding in circuit remodeling triggered by memory and learning processes. However, the presence of these neurons, coupled with the cellular diversity within the olfactory bulb, presents an ongoing challenge in understanding its network organization and function. moreover,the continuous integration of new neurons in the olfactory bulb plays a pivotal role in regulating olfactory information processing. This adaptive process responds to changes in epithelial composition and contributes to the formation of olfactory memories by modulating cellular connectivity within the olfactory bulb and interacting intricately with higher-order brain regions. The role of adult neurogenesis in olfactory bulb functions remains a topic of debate. Nevertheless, the functionality of the olfactory bulb is intricately linked to the organization of granule cells around mitral and tufted cells. This organizational pattern significantly impacts output, network behavior, and synaptic plasticity, which are crucial for olfactory perception and memory. Additionally, this organization is further shaped by axon terminals originating from cortical and subcortical regions. Despite the crucial role of olfactory bulb in brain functions and behaviors related to olfaction, these complex and highly interconnected processes have not been comprehensively studied as a whole. Therefore, this manuscript aims to discuss our current understanding and explore how neural plasticity and olfactory neurogenesis contribute to enhancing the adaptability of the olfactory system. These mechanisms are thought to support olfactory learning and memory, potentially through increased

关键词： network adaptability neurogenesis neuronal communication olfactory bulb olfactory learning olfactory memory synaptic plasticity

multi-Objective Optimization of External Louvers in Buildings

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Computers, materials & Continua 2023年第4期75卷 1305-1316页

作者： Tzu-Chia Chen Ngakan Ketut Acwin Dwijendra i.Wayan Parwata Agata iwan Candra Elsayed m.tag El Din Department of industrial Engineering and management Ming Chi University of TechnologyNew Taipei City24301Taiwan Department of Architecture Faculty of EngineeringUdayana UniversityBali80361Indonesia Faculty of Engineering Warmadewa UniversityBaliIndonesia Department of Civil Engineering Faculty of EngineeringKadiri UniversityKediriIndonesia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt

Because solar energy is among the renewable energies,it has traditionally been used to provide lighting in *** solar energy is effectively utilized during the day,the environment is not only more comfortable for users,but it also utilizes energy more efficiently for both heating and cooling *** of this,increasing the building’s energy efficiency requires first controlling the amount of light that enters the *** that the only parts of the building that come into direct contact with the sun are the windows,it is essential to make use of louvers in order to regulate the amount of sunlight that enters the *** the use of Ant Colony Optimization(ACO),the purpose of this study is to estimate the proportions and technical specifications of external louvers,as well as to propose a model for designing the southern openings of educational space in order to maximize energy efficiency and intelligent consumption,as well as to ensure that the appropriate amount of light is *** to the findings of this research,the design of external louvers is heavily influenced by a total of five distinct aspects:the number of louvers,the depth of the louvers,the angle of rotation of the louvers,the distance between the louvers and the window,and the reflection coefficient of the *** results of the 2067 simulated case study show that the best reflection rates of the louvers are between 0 and 15 percent,and the most optimal distance between the louvers and the window is in the range of 0 to 18 ***,the results show that the best distance between the louvers and the window is in the range of 0 to 18 centimeters.

关键词： Ant colony optimization energy consumption multi-objective optimization louvre

mitochondria–cGAS–STiNG axis is a potential therapeutic target for senescence-dependent inflammaging-associated neurodegeneration

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Neural Regeneration Research 2025年第3期20卷 805-807页

作者： Josém.izquierdo Centro de Biología molecular Severo Ochoa(CBm) Consejo Superior de Investigaciones Científicas-Universidad Autónoma de Madrid(CSIC-UAM)MadridSpain

The word “senescence” comes from the Latin senescens, meaning “to begin to age”, and is characterized by a long-lasting but reversible block in proliferation, resulting from stress-induced cell cycle arrest of pre... 详细信息

关键词： Latin potential lasting

Pythagorean Fuzzy Einstein Aggregation Operators with Z-Numbers:Application in Complex Decision Aid Systems

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Computer modeling in Engineering & Sciences 2023年第12期137卷 2795-2844页

作者： Shahzad Noor Abbasi Shahzaib Ashraf m.Shazib Hameed Sayed m.eldin institute of mathematics Khwaja Fareed University of Engineering&Information TechnologyRahim Yar Khan64200Pakistan Center of Research Faculty of EngineeringFuture University in EgyptNew Cairo11835Egypt

The primary goal of this research is to determine the optimal agricultural field selection that would most effectively support manufacturing producers in manufacturing production while accounting for unpredictability and reliability in their *** PFS is known to address the levels of participation and *** begin,we introduce the novel concept of a PFZN,which is a hybrid structure of Pythagorean fuzzy sets and the *** PFZN is graded in terms of membership and non-membership,as well as reliability,which provides a strong advice in real-world decision support *** PFZN is a useful tool for dealing with uncertainty in decision-aid *** PFZN is a practical way for dealing with such uncertainties in decision-aid *** list of aggregation operators:PFZN Einstein weighted averaging and PFZN Einstein weighted geometric,is established under the novel Pythagorean fuzzy *** is a more precise mathematical instrument for dealing with precision and *** core of this research is to develop a numerical algorithmto tackle the uncertainty in real-life problems using *** show the applicability and effectiveness of the proposed algorithm,we illustrate the numerical case study related to determining the optimal agricultural *** main purpose of this work is to describe the extended EDAS approach,then compare the proposed methodology with many other methodologies now in use,and then demonstrate how the suggested methodology may be applied to real-world *** addition,the final ranking results that were obtained by the devised techniques weremore efficient and dependable in comparison to the results provided by other methods presented in the literature.

关键词： Pythagorean fuzzy Z-number Einstein weighted averaging Pythagorean fuzzy Z-number Einstein weighted geometric decision making