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Mechanical and magneto-electronic properties of europium lanthanide-based cubic perovskites EuYO_(3)(Y=Cr, Mn, Fe): An ab initio study

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Journal of Rare Earths 2024年第3期42卷 562-569,I0005页

作者： Hayat Ullah Azra Sarwar Sajad Ali Rabah Khenata Abdelmadjid Bouhemadou Saad Bin-omran Department of Physics Women University of Azad Jammu&Kashmir Bagh 10250Pakistan Department of Physics Abdul Wali Khan UniversityMardan23200KPPakistan LPQ3M Laboratory Institute of Science and TechnologyUniversity of Mascara29000MascaraAlgeria Laboratory for Developing New Materials and Their Characterization Farhat Abbas University Setif l19000SetifAlgeria Department of Physics and Astronomy College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

Computational calculations using density functional theory(DFT) were performed for the first time using the full potential linearized augmented plane wave plus local orbital method(FP-LAPW + LO) to determine the structural, elastic, electronic and magnetic properties of europium-based cubic perovskites EuYO_(3)(Y=Cr, Mn, Fe). The exchange correlation potentials of GGA along with some analytical methods were adopted for the computation of structural and elastic properties. Moreover, the GGA + U formalism was also added for obtaining more precise electronic and magnetic properties, particularly to address the Eu-4f and Y-3d orientations in the spin-polarized double cell symmetry. The observed lattice parameters of these compounds are consistent with experiment. The observed bulk moduli predict that EuCrO_(3) is harder and less compressible than EuMnO_(3) and EuFeO_(3). The calculated tolerance factors of these compounds are within the cubic symmetry range. Our computed critical radius of EuCrO_(3) shows that EuCrO_(3) has a larger migration energy. Based on their elastic properties, these compounds are ductile in nature. We also computed the thermal properties of these compounds. The band structures and density of states show that these compounds are metallic in character. The lowest ground state energy and magnetic moments of these compounds expose their ferromagnetic nature. The metallic nature and strong ferromagnetism of these compounds make them promising applicants for application in spintronic.

关键词： Perovskites GGA+U Elastic constants Band structure Magnetic moments Rare earths

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A longitudinal study of SARS-CoV-2-infected patients reveals a high correlation between neutralizing antibodies and COVID-19 severity

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Cellular & Molecular Immunology 2021年第2期18卷 318-327页

作者： Vincent Legros Solène Denolly Manon Vogrig Bertrand Boson Eglantine Siret Josselin Rigaill Sylvie Pillet Florence Grattard Sylvie Gonzalo Paul Verhoeven omran allatif Philippe Berthelot Carole Pélissier Guillaume Thiery Elisabeth Botelho-Nevers Guillaume Millet Jérôme Morel Stéphane Paul Thierry Walzer François-Loïc Cosset Thomas Bourlet Bruno Pozzetto CIRI–Centre International de Recherche en Infectiologie Team EVIRUniv LyonUniversitéClaude Bernard Lyon 1InsermU1111CNRSUMR5308ENS Lyon46 allée d’ItalieF-69007LyonFrance Universitéde Lyon VetAgro SupMarcy-l’ÉtoileFrance Department of Infectious Agents and Hygiene University-Hospital of Saint-EtienneSaint-EtienneFrance Department of Immunology University-Hospital of Saint-EtienneSaint-EtienneFrance CIRI–Centre International de Recherche en Infectiologie Team GIMAPUniv LyonUniversitéClaude Bernard Lyon 1InsermU1111CNRSUMR5308ENS Lyon46 allée d’ItalieF-69007LyonFrance Department of Infectious Diseases University-Hospital of Saint-EtienneSaint-EtienneFrance Department of Occupational Medicine University-Hospital of Saint-EtienneSaint-EtienneFrance Department of Intensive Care and Resuscitation(Réanimation G) University-Hospital of Saint-EtienneSaint-EtienneFrance Laboratoire Interuniversitaire de Biologie de la Motricité Universitéde LyonUniversitéJean MonnetSaint-EtienneFrance Department of Anesthesiology and Critical Care University-Hospital of Saint-EtienneSaint-EtienneFrance

Understanding the immune responses elicited by SARS-CoV-2 infection is critical in terms of protection against reinfection and,thus,for public health policy and vaccine development for *** this study,using either live SARS-CoV-2 particles or retroviruses pseudotyped with the SARS-CoV-2 S viral surface protein(Spike),we studied the neutralizing antibody(nAb)response in serum samples from a cohort of 140 SARS-CoV-2 qPCR-confirmed infections,including patients with mild symptoms and also more severe forms,including those that required intensive *** show that nAb titers correlated strongly with disease severity and with anti-spike IgG ***,patients from intensive care units exhibited high nAb titers;conversely,patients with milder disease symptoms had heterogeneous nAb titers,and asymptomatic or exclusive outpatient-care patients had no or low *** found that nAb activity in SARS-CoV-2-infected patients displayed a relatively rapid decline after recovery compared to individuals infected with other ***,we found an absence of cross-neutralization between endemic coronaviruses and SARS-CoV-2,indicating that previous infection by human coronaviruses may not generate protective nAbs against ***,we found that the D614G mutation in the spike protein,which has recently been identified as the current major variant in Europe,does not allow neutralization ***,our results contribute to our understanding of the immune correlates of SARS-CoV-2-induced disease,and rapid evaluation of the role of the humoral response in the pathogenesis of SARS-CoV-2 is warranted.

关键词： Antibody Pathogenesis Humoral response COVID-19 SARS-CoV-2v

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An Efficient Security Solution for Industrial Internet of Things Applications

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Computers, Materials & Continua 2022年第8期72卷 3961-3983页

作者： Alaa omran Almagrabi Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahKingdom of Saudi Arabia

The Industrial Internet of Things(IIoT)has been growing for presentations in industry in recent *** for the IIoT has unavoidably become a problem in terms of creating safe *** to continual needs for new functionality,such as foresight,the number of linked devices in the industrial environment *** of fewer signatories gives strong authentication solutions and prevents trustworthy third parties from being publicly certified among available encryption *** this blockchain-based endpoint protection platform(BCEPP)has been proposed to validate the network policies and reduce overall latency in isolation or hold endpoints.A resolver supports the encoded model as an input;network functions can be optimized as an output in an infrastructure *** configuration of the virtual network functions(VNFs)involved fulfills network *** output ensures that the final service is supplied at the least cost,including processing time and network *** to the findings of this comparison,our design is better suited to simplified trust management in IIoT ***,the experimental results show the adaptability and resilience of our suggested confidence model against behavioral changes in hostile settings in IIoT *** experimental results show that our proposed method,BCEPP,has the following,when compared to other methods:high computational cost of 95.3%,low latency ratio of 28.5%,increased data transmitting rate up to 94.1%,enhanced security rate of 98.6%,packet reception ratio of 96.1%,user satisfaction index of 94.5%,and probability ratio of 33.8%.

关键词： Industrial internet of things(IIoT) blockchain trusted third parties endpoint verification

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A Deep CNN-LSTM-Based Feature Extraction for Cyber-Physical System Monitoring

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Computers, Materials & Continua 2023年第8期76卷 2079-2093页

作者： Alaa omran Almagrabi Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

A potential concept that could be effective for multiple applications is a“cyber-physical system”(CPS).The Internet of Things(IoT)has evolved as a research area,presenting new challenges in obtaining valuable data through environmental *** existing work solely focuses on classifying the audio system of CPS without utilizing feature *** study employs a deep learning method,CNN-LSTM,and two-way feature extraction to classify audio systems within *** primary objective of this system,which is built upon a convolutional neural network(CNN)with Long Short Term Memory(LSTM),is to analyze the vocalization patterns of two different species of *** has been demonstrated that CNNs,when combined with mel-spectrograms for sound analysis,are suitable for classifying ambient ***,the data is augmented and ***,the mel spectrogram features are extracted through two-way feature ***,Principal Component Analysis(PCA)is utilized for dimensionality reduction,followed by Transfer learning for audio feature ***,the classification is performed using the CNN-LSTM *** methodology can potentially be employed for categorizing various biological acoustic objects and analyzing biodiversity indexes in natural environments,resulting in high classification *** study highlights that this CNNLSTM approach enables cost-effective and resource-efficient monitoring of large natural *** dissemination of updated CNN-LSTM models across distant IoT nodes is facilitated flexibly and dynamically through the utilization of CPS.

关键词： Cyber-physical system internet of things feature extraction,classification CNN principal component analysis mel spectrograms monitoring deep learning

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A classification-based privacy-preserving decision-making for secure data sharing in Internet of Things assisted applications

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Digital Communications and Networks 2022年第4期8卷 436-445页

作者： Alaa omran Almagrabi A.K.Bashir Department of Information Systems Faculty of Computing and Information Technology(FCIT)King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUK

The introduction of the Internet of Things(IoT)paradigm serves as pervasive resource access and sharing platform for different real-time *** resource availability,access,and allocation provide a better quality of user experience regardless of the application type and ***,privacy remains an open issue in this ubiquitous sharing platform due to massive and replicated data *** this paper,privacy-preserving decision-making for the data-sharing scheme is *** scheme is responsible for improving the security in data sharing without the impact of replicated resources on communicating *** this scheme,classification learning is used for identifying replicas and accessing granted resources *** on the trust score of the available resources,this classification is recurrently performed to improve the reliability of information *** user-level decisions for information sharing and access are made using the classification of the resources at the time of *** proposed scheme is verified using the metrics access delay,success ratio,computation complexity,and sharing loss.

关键词： Classification learning Data mining IoT Privacy-preserving Resource replication

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Feature-Limited Prediction on the UCI Heart Disease Dataset

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Computers, Materials & Continua 2023年第3期74卷 5871-5883页

作者： Khadijah Mohammad Alfadli Alaa omran Almagrabi Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

Heart diseases are the undisputed leading causes of death ***,the conventional approach of relying solely on the patient’s medical history is not enough to reliably diagnose heart *** potentially indicative factors exist,such as abnormal pulse rate,high blood pressure,diabetes,high cholesterol,*** analyzing these health signals’interactions is challenging and requires years of medical training and ***,this work aims to harness machine learning techniques that have proved helpful for data-driven applications in the rise of the artificial intelligence *** specifically,this paper builds a hybrid model as a tool for data mining algorithms like feature *** goal is to determine the most critical factors that play a role in discriminating patients with heart illnesses from healthy *** contribution in this field is to provide the patients with accurate and timely tentative results to help prevent further complications and heart attacks using minimum *** developed model achieves 84.24%accuracy,89.22%Recall,and 83.49%Precision using only a subset of the features.

关键词： Machine learning feature selection heart disease

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Performance Enhancement of Distribution Systems via Distribution Network Reconfiguration and Distributed Generator Allocation Considering Uncertain Environment

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Journal of Modern Power Systems and Clean Energy 2022年第3期10卷 647-655页

作者： Mina Naguib Walid A.omran Hossam E.A.Talaat Electrical Power and Machines Department Ain Shams UniversityCairoEgypt Electrical Engineering Department Future University in EgyptCairoEgypton leave from Ain Shams UniversityCairoEgypt Electrical Engineering Department Future University in EgyptCairoEgypt

The emergence of dispersed generation,smart grids,and deregulated electricity markets has increased the focus on enhancing the performance of distribution *** paper proposes a method to reduce the energy loss and improve the reliability of distribution systems by performing distribution network reconfiguration(DNR)and distributed generator(DG)*** this study,the intermittent nature of renewable-based DGs and the load profile are considered using a probabilistic *** study investigates different annual plans based on the seasonal power profiles of DGs and the load to minimize the combined cost function of annual energy loss and annual energy not *** proposed method is implemented using the firefly algorithm(FA),which is one of the meta-heuristic optimization *** case studies are investigated using the IEEE 33-bus distribution system to highlight the effectiveness of the method.

关键词： Distributed generator allocation distribution network reconfiguration optimal power flow firefly algorithm energy loss reliability

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A Content-Based Medical Image Retrieval Method Using Relative Difference-Based Similarity Measure

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Intelligent Automation & Soft Computing 2023年第8期37卷 2355-2370页

作者： Ali Ahmed Alaa omran Almagrabi Omar MBarukab Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz University–RabighRabigh21589Saudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz University-RabighRabigh21589Saudi Arabia

Content-based medical image retrieval(CBMIR)is a technique for retrieving medical images based on automatically derived image *** are many applications of CBMIR,such as teaching,research,diagnosis and electronic patient *** methods are applied to enhance the retrieval performance of CBMIR *** new and effective similarity measure and features fusion methods are two of the most powerful and effective strategies for improving these *** study proposes the relative difference-based similarity measure(RDBSM)for *** new measure was first used in the similarity calculation stage for the CBMIR using an unweighted fusion method of traditional color and texture ***,the study also proposes a weighted fusion method for medical image features extracted using pre-trained convolutional neural networks(CNNs)*** proposed RDBSM has outperformed the standard well-known similarity and distance measures using two popular medical image datasets,Kvasir and PH2,in terms of recall and precision retrieval *** effectiveness and quality of our proposed similarity measure are also proved using a significant test and statistical confidence bound.

关键词： Medical image retrieval feature extraction similarity measure fusion method

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Heavy mineral composition and texture of the recently formed fluvial delta sediment of Lake Nasser/Nubia,Egypt and Sudan

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International Journal of Sediment Research 2022年第1期37卷 70-82页

作者： omran E.Frihy Essam A.Deabes Abdelaleem A.budia Ahamed Adawi Coastal Research Institute National Water Research Center Nuclear Materials Authority

Surficial sediment samples collected from the recently formed fluvial delta in Lake Nasser/Nubia (Egypt and Sudan) in conjunction with data on bottom current and depth soundings are examined to interpret hydraulic-sorting processes and transport/depositional ***～500 km long northeastwardtrending lake,lies within Egypt and Sudan,is created as a result of the construction of the Aswan High Dam in *** original grain-size distribution and heavy mineral compositions of these samples help to characterize the classical depositional features of the recently formed underwater delta-front and prodelta *** from the south,those delta-front deposits,which floor most of the narrow-shallow basin of Lake Nubia,are characterized by thick coarse-grained sandy deposits,rich in heavy minerals (averaged 12.8%).This delta-front is followed to the northeast by thin layers of prodelta mud,poor in heavy mineral contents (averaged 0.6%).These layers cover the entire broad basin of Lake *** northeasterly downslope fining-trend,along with a continuous decrease in heavy mineral composition,along the length of the lake,are attributable to processes of grain sorting,which take place due to contrasting densities and grain *** processes lead to the concentration of heavy mineral placer,mostly in the delta-front *** sorting mechanism,in turn,is controlled by the interplay of unidirectional-directed northeastward current,physiographic characteristics of the lake,including topographic configuration,geometry (cross-section),and floor topography (slope gradient).In terms of mineral exploration,the highest proportion of mineral grades in the delta-front sediments is likely to be considered as a viable source for economic placers that require more planning initiatives for industrial and commercial evaluation.

关键词： Heavy mineral Fluvial delta sediments Delta-front Aswan high dam Hydraulic-sorting processes

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Concentrations of organophosphate esters in drinking water from the United Kingdom:Implications for human exposure

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Emerging Contaminants 2023年第1期9卷 76-84页

作者： Muideen Remilekun Gbadamosi Layla Salih Al-omran Mohamed Abou-Elwafa Abdallah Stuart Harrad School of Geography Earth and Environmental Sciences University of BirminghamBirminghamUK Department of Chemical Sciences Tai Solarin University of EducationIjebu-OdeOgun StateNigeria Department of Chemistry College of ScienceUniversity of BasrahBasrahIraq

Data on the presence of organophosphate esters(OPEs)in drinking water and its significance as a pathway of exposure are *** this study,we measure for the first time,concentrations of eight OPEs in 50 UK drinking water *** mean concentrations of ∑8OPEs were:6.4 and 11 ng/L in bottled(n=25)and tap water samples(n=25),*** of ∑8OPEs in tap water(mean:11 ng/L)exceed significantly those in bottled water(mean:6.4 ng/L)(p˂0.01).Moreover,UK tap water is more contaminated with chlorinated,aryl-,and alkyl-OPEs than bottled *** predominant OPEs detected were:tris(butoxyethyl)phosphate(TBOEP),tris(2-chloroethyl)phosphate(TCEP),and tris(2-chloroisopropyl)phosphate(TCIPP)with arithmetic mean concentrations in the two water sample types ranging between(3.5e3.8 ng/L),(0.60-3.0 ng/L),and(1.02-2.9 ng/L),*** daily intakes(EDIs)(mean and high-end exposure)via drinking water for different sectors of the UK population were:infants(0.93 and 6.4 ng/kg bw/day)˃toddlers(0.46 and 3.1 ng/kg bw/day)˃children(0.35 and 2.3 ng/kg bw/day)˃adults(0.28 and 2.1 ng/kg bw/day).Based on these data,exposure to ∑8OPEs via drinking water is much lower than via:food,indoor dust ingestion,inhalation,and dermal uptake for adults and ***,our EDIs were lower than relevant reference dose(RfD)***,combining our drinking water ingestion data with exposure via other pathways revealed overall exposure to 2-ethylhexyl diphenyl phosphate(EHDPP)and TCIPP to approach health-based limit values for UK toddlers under a high-end exposure scenario.

关键词： Daily intakes Tap water Reference dose and high-end exposure scenario

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