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稀土学报:英文版 2023年第9期41卷 1367-1375,I0004页

作者： Murad Murad zahid Ali Muhammad Idrees Centre for Computational Materials Science Department of PhysicsUniversity of MalakandChakdaraDir(Lower)18800KPPakistan

Hybrid density functional theory was used to investigate the structural,electronic,magnetic and elastic properties of the Laves phase binary intermetallics RFe_(2)(R=La,Ce,Pr and Nd) in C_(15) crystal *** calculated lattice constants of these materials are found in good agreement with the *** band structures and density of states distribution confirm the metallic nature of all these *** optimized energies in different magnetic phases and magnetic susceptibilities by postDFT treatments confirm that all the understudy compounds are ferromagnetic in *** parameters were calculated from the cubic elastic coefficients C_(11),C_(12) and C_(44).The elastic properties reveal that these intermetallics are incompressible,ductile,elastically anisotropic and mechanically *** on the metallic nature and ferromagnetic properties,it is expected that these intermetallics are suitable materials for spintronic technology.

关键词： Intermetallics Laves phase Density functional theory Electronic band structures Magnetic properties Elastic properties

A Deep Learning for Alzheimer’s Stages Detection Using Brain Images

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Computers, Materials & Continua 2023年第1期74卷 1457-1473页

作者： zahid Ullah Mona Jamjoom Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia

Alzheimer’s disease(AD)is a chronic and common form of dementia that mainly affects elderly *** disease is dangerous because it causes damage to brain cells and tissues before the symptoms appear,and there is nomedicinal or surgical treatment available yet *** loss of memory and functionality control in multiple degrees according to AD’s progression ***,early diagnosis of AD can hinder its *** imaging tools such as magnetic resonance imaging(MRI),computed tomography(CT)scans,positron emission tomography(PET),*** help in medical diagnosis of ***,computer-aided diagnosis(CAD)such as deep learning applied to brain images obtained with these tools,has been an established strategic methodology that is widely used for clinical assistance in prognosis of *** this study,we proposed an intelligent methodology for building a convolutional neural network(CNN)from scratch to detect AD stages from the brain MRI images dataset and to improve patient *** is worth mentioning that training a deep-learning model requires a large amount of data to produce accurate results and prevent the model from overfitting ***,for better understanding of classifiers and to overcome the model overfitting problem,we applied data augmentation to the minority classes in order to increase the number of MRI images in the *** experiments were conducted using Alzheimer’s MRI dataset consisting of brain MRI scanned *** performance of the proposed model determines detection of the four stages of *** results show high performance of the proposed model in that the model achieved a 99.38%accuracy rate,which is the highest so ***,the proposed model performance in terms of accuracy,precision,sensitivity,specificity,and f-measures is promising when compared to the very recent state-of-the-art domain-specific models existing in the literature.

关键词： Dementia MRI images CNN model detection data augmentation decision support system

Effects of Aeriscardovia aeriphila on growth performance,antioxidant functions,immune responses,and gut microbiota in broiler chickens

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2023年第11期24卷 1014-1026页

作者： Muhammad zahid FAROOQ Xinkai WANG Xianghua YAN National Key Laboratory of Agricultural Microbiology Hubei Hongshan LaboratoryFrontiers Science Center for Animal Breeding and Sustainable ProductionCollege of Animal Sciences and TechnologyHuazhong Agricultural UniversityWuhan430070China Department of Animal Sciences University of Veterinary and Animal Sciences(Jhang Campus)Lahore54000Pakistan

Aeriscardovia aeriphila,also known as Bifidobacterium aerophilum,was first isolated from the caecal contents of pigs and the faeces of cotton-top *** species play important roles in preventing intestinal infections,decreasing cholesterol levels,and stimulating the immune *** this study,we isolated a strain of bacteria from the duodenal contents of broiler chickens,which was identified as ***,and then evaluated the effects of *** on growth performance,antioxidant functions,immune functions,and gut microbiota in commercial broiler *** were orally gavaged with ***(1×109 CFU/mL)for 21 *** results showed that *** treatment significantly increased the average daily gain and reduced the feed conversion ratio(P<0.001).The levels of serum growth hormone(GH)and insulin-like growth factor 1(IGF-1)were significantly increased following *** treatment(P<0.05).Blood urea nitrogen and aspartate aminotransferase levels were decreased,whereas glucose and creatinine levels increased as a result of *** ***,the levels of serum antioxidant enzymes,including catalase(P<0.01),superoxide dismutase(P<0.001),and glutathione peroxidase(P<0.05),and total antioxidant capacity(P<0.05)were enhanced following *** *** treatment significantly increased the levels of serum immunoglobulin A(IgA)(P<0.05),IgG(P<0.01),IgM(P<0.05),interleukin-1(IL-1)(P<0.05),IL-4(P<0.05),and IL-10(P<0.05).The broiler chickens in the *** group had higher secretory IgA(SIgA)levels in the duodenum(P<0.01),jejunum(P<0.001),and cecum(P<0.001)than those in the control *** messenger RNA(mRNA)relative expression levels of IL-10(P<0.05)and IL-4(P<0.001)in the intestinal mucosa of chickens were increased,while nuclear factor-κB(NF-κB)(P<0.001)expression was decreased in the *** group compared to the control ***-level analysis revealed Firmicutes as the main phylum,follow

关键词： Chicken Aeriscardovia aeriphila Gut health Microbiome Immune function

Spherical Gravitational Collapse in f(R) Gravity with Linear Equation of State

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Communications in Theoretical Physics 2018年第8期69卷 185-189页

作者： zahid ahmad Hassan Shah Suhail Khan Department of Mathematics COMSATS Institute of Information Technology Department of Mathematics University of Peshawar

In a paper [Gen. Relativ. Gravit. 48(2016) 57] Chakrabarti and Banerjee investigated perfect fluid collapse in f(R) gravity model and claimed that such a collapse is possible. In this paper we show that without the assumption of dark energy it is not possible that perfect fluid spherical gravitational collapse will occur. We have solved the field equations by assuming linear equation of state(p = ωμ) in metric f(R) gravity with ω =-1. It is shown that Chakrabarti and Banerjee reached to false conclusion as they derived wrong field equations. We have also discussed formation of apparent horizon and singularity.

关键词：线性方程倒塌状态重力球形地平线液体

Robust Half-Metallicity and Magnetic Properties of Cubic Perovskite CaFeO_(3)

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Chinese Physics Letters 2013年第4期30卷 192-196页

作者： zahid Ali Iftikhar ahmad Banaras Khan Imad Khan Materials Modeling Center Department of PhysicsUniversity of MalakandChakdaraDir(L)Pakistan Department of Physics Hazara UniversityMansehraPakistan

Theoretical studies of the cubic perovskite CaFeO3 are performed using the full potential linearized augmented plane-wave method with GGA+*** calculated structural parameters are consistent with the experimental *** tolerance factor reveals the cubic phase of the *** spin polarized electronic band structures and densities of states as well as the integer value of the magnetic moment of the unit cell(4μB)demonstrate that CaFeO_(3)is half *** in CaFeO_(3)is due to Fe^(+4)–O^(2)–Fe^(+4)superexchange *** robust properties of the compound show that with their compression up to a certain critical lattice constant,known as the robust transition lattice constant,an abrupt change in the electronic and magnetic properties occurs;the compounds lose their integer magnetic moment and become metallic.

关键词： integer cubic magnetic

An Improved Hybrid Indoor Positioning Algorithm via QPSO and MLP Signal Weighting

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Computers, Materials & Continua 2023年第1期74卷 379-397页

作者： Edgar Scavino Mohd Amiruddin Abd Rahman zahid Farid Department of Physics Faculty of ScienceUniversiti Putra MalaysiaUPM Serdang43400Malaysia Department of Electrical Engineering Abasyn UniversityKhyber-PakhtunkhwaPakistan

Accurate location or positioning of people and self-driven devices in large indoor environments has become an important necessity The application of increasingly automated self-operating moving transportation units,in large indoor spaces demands a precise knowledge of their *** like WiFi and Bluetooth,despite their low-cost and availability,are sensitive to signal noise and fading *** these reasons,a hybrid approach,which uses two different signal sources,has proven to be more resilient and accurate for the positioning determination in indoor ***,this paper proposes an improved hybrid technique to implement a fingerprinting based indoor positioning,using Received Signal Strength information from available Wireless Local Area Network access points,together with the Wireless Sensor Networks *** signals were recorded on a regular grid of anchor points,covering the research *** optimization was performed by relative signal weighting,to minimize the average positioning error over the research *** optimization process was conducted using a standard Quantum Particle Swarm Optimization,while the position error estimate for all given sets of weighted signals was performed using aMultilayer Perceptron(MLP)neural *** to our previous research works,the MLP architecture was improved to three hidden layers and its learning parameters were finely *** experimental results led to the 20%reduction of the positioning error when a suitable set of signal weights was calculated in the optimization *** final achieved value of 0.725 m of the location incertitude shows a sensible improvement compared to our previous results.

关键词： QPSO indoor localization fingerprinting neural networks WiFi WSN

Evolution-Based Performance Prediction of Star Cricketers

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Computers, Materials & Continua 2021年第10期69卷 1215-1232页

作者： Haseeb ahmad Shahbaz ahmad Muhammad Asif Mobashar Rehman Abdullah Alharbi zahid Ullah Department of Computer Science National Textile UniversityFaisalabadPakistan Faculty of Information and Communication Technology Universiti Tunku Abdul RahmanKampar31900PerakMalaysia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Systems King Abdulaziz UniversityJeddahSaudi Arabia

Cricket databases contain rich and useful information to examine and forecasting patterns and *** paper predicts Star Cricketers(SCs)from batting and bowling domains by employing supervised machine learning *** this aim,each player’s performance evolution is retrieved by using effective features that incorporate the standard performance measures of each player and their *** is performed by applying Bayesianrule,function and decision-tree-based *** evaluations are performed to validate the applicability of the proposed *** particular,the impact of the individual features on the prediction of SCs are ***,the category and model-wise feature evaluations are also conducted.A cross-validation mechanism is applied to validate the performance of our proposed approach which further confirms that the incorporated features are statistically ***,leading SCs are extracted based on their performance evolution scores and their standings are cross-checked with those provided by the International Cricket Council.

关键词： Online social databases cricket star cricketers prediction machine learning

An Access Control Scheme Using Heterogeneous Signcryption for IoT Environments

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Computers, Materials & Continua 2022年第3期70卷 4307-4321页

作者： Insaf Ullah Hira zahid Fahad Algarni Muhammad Asghar Khan Hamdard Institute of Engineering and Technology Islamabad44000Pakistan Department of Information Technology Abbottabad University of Science and TechnologyAbbottabadPakistan College of Computing and Information Technology The University of BishaBishaSaudi Arabia

When the Wireless Sensor Network(WSN)is combined with the Internet of Things(IoT),it can be employed in a wide range of applications,such as agriculture,industry 4.0,health care,smart homes,among *** the big data generated by these applications in Cloud Servers(CSs),requires higher levels of authenticity and confidentiality during communication conducted through the *** is one of the most promising approaches nowadays for overcoming such obstacles,due to its combined nature,i.e.,signature and encryption.A number of researchers have developed schemes to address issues related to access control in the IoT literature,however,the majority of these schemes are based on homogeneous *** will be neither adequate nor practical for heterogeneous IoT *** addition,these schemes are based on bilinear pairing and elliptic curve cryptography,which further requires additional processing time and more communication overheads that is inappropriate for real-time ***,this paper aims to solve the above-discussed issues,we proposed an access control scheme for IoT environments using heterogeneous signcryption scheme with the efficiency and security hardiness of hyperelliptic *** the security services such as replay attack prevention,confidentiality,integrity,unforgeability,non-repudiations,and forward secrecy,the proposed scheme has very low computational and communication costs,when it is compared to existing *** is primarily because of hyperelliptic curve lighter nature of key and other *** AVISPA tool is used to simulate the security requirements of our proposed scheme and the results were under two backbends(Constraint Logic-based Attack Searcher(CL-b-AtSER)and On-the-Fly Model Checker(ON-t-FL-MCR))proved to be SAFE when the presented scheme is coded in HLPSL *** scheme was proven to be capable of preventing a variety of attacks,including confidentiality,integrity,unforge

关键词： Internet of Things(IoT) access control big data heterogeneous signcryption

Joint Spectrum Sensing and Spectrum Access for Defending Massive SSDF Attacks:A Novel Defense Framework

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Chinese Journal of Electronics 2022年第2期31卷 240-254页

作者： XU Zhenyu SUN Zhiguo GUO Lili Muhammad zahid Hammad Chintha Tellambura College of Information and Communication Engineering Harbin Engineering University Department of Electrical and Computer Engineering University of Alberta

Multiple secondary users(SUs) perform collaborative spectrum sensing(CSS) in cognitive radio networks to improve the sensing performance. However,this system severely degrades with spectrum sensing data falsification(SSDF) attacks from a large number of malicious secondary users, i.e., massive SSDF attacks. To mitigate such attacks, we propose a joint spectrum sensing and spectrum access framework. During spectrum sensing,each SU compares the decisions of CSS and independent spectrum sensing(IndSS), and then the reliable decisions are adopted as its final decisions. Since the transmission slot is divided into several tiny slots, at the stage of spectrum access, each SU is assigned with a specific tiny time slot. In accordance with its independent final spectrum decisions, each node separately accesses the tiny time *** results verify effectiveness of the proposed algorithm.

关键词： Collaborative spectrum sensing Spectrum sensing data falsification Spectrum access Generalized likelihood ratio test

Edge Metric Dimension of Honeycomb and Hexagonal Networks for IoT

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Computers, Materials & Continua 2022年第5期71卷 2683-2695页

作者： Sohail Abbas zahid Raza Nida Siddiqui Faheem Khan Taegkeun Whangbo Department of Computer Science College of Computing and InformaticsUniversity of SharjahSharjah27272UAE Department of Mathematics College of SciencesUniversity of SharjahSharjah27272UAE Artificial Intelligence Lab Department of Computer EngineeringGachon UniversitySeongnam13557Korea

Wireless Sensor Network(WSN)is considered to be one of the fundamental technologies employed in the Internet of things(IoT);hence,enabling diverse applications for carrying out real-time *** navigation in such networks was the main motivation for the introduction of the concept of landmarks.A robot can identify its own location by sending signals to obtain the distances between itself and the *** networks to be a type of graph,this concept was redefined as metric dimension of a graph which is the minimum number of nodes needed to identify all the nodes of the *** idea was extended to the concept of edge metric dimension of a graph G,which is the minimum number of nodes needed in a graph to uniquely identify each edge of the *** plane networks can be easily constructed by repeating regular *** design is of extreme importance as it yields high overall performance;hence,it can be used in various networking and IoT *** honeycomb and the hexagonal networks are two such popular mesh-derived parallel *** this paper,it is proved that the minimum landmarks required for the honeycomb network HC(n),and the hexagonal network HX(n)are 3 and 6 *** bounds for the landmarks required for the hex-derived network HDN1(n)are also proposed.

关键词： Edge metric dimension internet of things wireless sensor network honeycomb network hexagonal network hex-derived networks