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Asian Pacific Journal of Tropical Medicine 2019年第2期12卷 87-90页

作者： Nadia Ouzennou samia Boussaa Safa Ben Alla Ali Boumezzough ISPITS-Higher Institute of Nursing and Health Technology Ecology and the Environment Laboratory L2E(URAC 32 CNRST ERACNERS 06) Faculty of Sciences Semlalia Cadi Ayyad University

Objective: To assess knowledge and behaviour related to toxoplasmosis which remains a neglected disease in ***: Observational investigations were conducted among 600 pregnant women from Essaouira *** interview items covered respondents' knowledge of the disease, its preventive practices and risk ***: A total of 22/600 women had already carried out the anti-toxoplasmosis test, while, 96% have never done any screening of anti-Toxoplasma *** 16/600 women have good information about the disease, its mode of transmission and its complications in both the fetus and his *** most women adopt a healthy diet, the consumption of raw or undercooked meat is far to be considered as a risk factor, along with other potential factors that may foster the acquisition of the disease, such as possessing a domestic cat, educational status and knowledge of the ***, in this study, contact with soil was revealed the most important risk factor(P = 0.045), followed by the hygiene conditions after handling raw meat(P = 0.048).Conclusion: The underestimation of the Toxoplasma gondii sero-prevalence in Essaouira Province can be explained by the absence of toxoplasmosis serology in health institutions, as well as the gap of knowledge about the disease by local population.

关键词： Toxoplasmosis Knowledge Risk behaviour Pregnant women Morocco

Multiple Pedestrian Detection and Tracking in Night Vision Surveillance Systems

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Computers, Materials & Continua 2023年第5期75卷 3275-3289页

作者： Ali Raza samia Allaoua Chelloug Mohammed Hamad Alatiyyah Ahmad Jalal Jeongmin Park Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Sciences and Humanities in AflajPrince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computer Engineering Tech University of Korea237 Sangidaehak-roSiheung-siGyeonggi-do15073Korea

Pedestrian detection and tracking are vital elements of today’s surveillance systems,which make daily life safe for ***,human detection and visualization have become essential inventions in the field of computer ***,developing a surveillance system with multiple object recognition and tracking,especially in low light and night-time,is still ***,we propose a novel system based on machine learning and image processing to provide an efficient surveillance system for pedestrian detection and tracking at *** particular,we propose a system that tackles a two-fold problem by detecting multiple pedestrians in infrared(IR)images using machine learning and tracking them using particle ***,a random forest classifier is adopted for image segmentation to identify pedestrians in an *** result of detection is investigated by particle filter to solve pedestrian *** the extensive experiment,our system shows 93%segmentation accuracy using a random forest algorithm that demonstrates high accuracy for background and roof ***,the system achieved a detection accuracy of 90%usingmultiple templatematching techniques and 81%accuracy for pedestrian ***,our system can identify that the detected object is a ***,our system provided the best results compared to the state-ofart systems,which proves the effectiveness of the techniques used for image segmentation,classification,and *** presented method is applicable for human detection/tracking,crowd analysis,and monitoring pedestrians in IR video surveillance.

关键词： Pedestrian detection machine learning segmentation tracking verification

Structural effects on the magnetic hyperthermia properties of iron oxide nanoparticles

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Progress in Natural Science:Materials International 2016年第5期26卷 440-448页

作者： Eric C.Abenojar Sameera Wickramasinghe Jesbaniris Bas-Concepcion Anna Cristina S.samia Department of Chemistry Case Western Reserve University Chemistry Department University of Puerto Rico Rio Piedras Campus

Magnetic iron oxide nanoparticles(IONPs) are heavily explored as diagnostic and therapeutic agents due to their low cost, tunable properties, and biocompatibility. In particular, upon excitation with an alternating current(AC) magnetic field, the NPs generate localized heat that can be exploited for therapeutic hyperthermia treatment of diseased cells or pathogenic microbes. In this review, we focus on how structural changes and inter-particle interactions affect the heating efficiency of iron oxide-based magnetic NPs. Moreover, we present an overview of the different approaches to evaluate the heating performance of IONPs and introduce a new theranostic modality based on magnetic imaging guided–hyperthermia.

关键词： Iron oxide nanoparticles Magnetic hyperthermia Magneto-structural effects Magnetic dipolar interactions Magnetic imaging guided–hyperthermia

Mitochondrial dysfunction,oxidative stress and apoptotic induction in microglial BV-2 cells treated with sodium arsenate

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Journal of Environmental Sciences 2017年第1期29卷 44-51页

作者： Wafa Kharroubi samia Hai Ahmed Thomas Nury Pierre Andreoletti Rachid Sakly Mohamed Hammami Gerard Lizard Univ.Bourgogne Franche-Comte Laboratory Bio-PeroxIL Biochemistry of the PeroxisomeInflammation and Lipid Metabolism EA7270/INSERMFaculty of Sciences GabrielDijon 21000France Laboratory of Nutrition-Functional Foods and Vascular Diseases Faculty of MedicineUniversity of MonastirMonastir 5019Tunisia

The treatment of microglial BV-2 cells with sodium arsenate（As（V）：0.1-400 μmol/L — 48 hr）induces a dose-dependent *** neurotoxic effects of high concentrations of As（V）（100,200 and 400 μmol/L） are characterized by increased levels of mitochondrial complexesⅠ,Ⅱ,and Ⅳ followed by increased superoxide anion ***,As（V） triggers an apoptotic mode of cell death,demonstrated by an apoptotic SubG1 peak,associated with an alteration of plasma membrane *** is also a decrease in transmembrane mitochondrial potential and mitochondrial adenosine triphosphate *** is therefore tempting to speculate that As（V） triggers mitochondrial dysfunction,which may lead to defective oxidative phosphorylation subsequently causing mitochondrial oxidative damage,which in turn induces an apoptotic mode of cell death.

关键词： Sodium arsenate Microglial BV-2 cells Mitochondrial dysfunction Oxidative phosphorylation complexes Superoxide anions Apoptosis

Experimental and quantum chemical studies of carboxylates as corrosion inhibitors for AM50 alloy in pH neutral NaCl solution

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Journal of Magnesium and Alloys 2022年第2期10卷 596-611页

作者： Junjie Yang Pingli Jiang Youmin Qiu Chih-Yu Jao Carsten Blawert Sviatlana Lamaka Anissa bouali Xiaopeng Lu Mikhail L.Zheludkevich Wei Li Institute of Advanced Wear&Corrosion Resistant and Functional Materials Jinan UniversityGuangzhou 510632PR China Helmholtz-Zentrum Hereon Institute of Surface ScienceGeesthacht 21502Germany School of Materials Science and Engineering Zhengzhou UniversityZhengzhou 450001PR China Shenyang National Laboratory for Materials Science Northeastern University3-11 Wenhua RoadShenyang 110819PR China Faculty of Engineering University of KielKaiserstraße 2Kiel 24143Germany

Sodium salts of mono-and di-carboxylic acids(glycolic,fumaric and benzoic acid)were studied as corrosion inhibitors for AM50 alloy in pH neutral aqueous NaCl *** evolution,electrochemical and surface characterization techniques were employed to reveal their corrosion inhibition mechanism,whilst the molecular features of inhibitors were investigated by quantum chemical *** inhibitors reduced anodic dissolution of AM50 and their efficiency generally increased with time and concentration from 5 mM to 100 *** inhibition mechanism can be described as physisorption of inhibitive molecules on the surface of the intrinsic oxide layer followed by chemisorption with Mg^(2+)and Al^(3+),and the difference in inhibition action among these inhibitors was explained on the molecular scale.

关键词： Mg-Al magnesium alloy Neutral NaCl solution Corrosion inhibitors Electrochemistry Density functional theory

Machine Learning-Enabled Communication Approach for the Internet of Medical Things

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Computers, Materials & Continua 2023年第8期76卷 1569-1584页

作者： Rahim Khan Abdullah Ghani samia Allaoua Chelloug Mohammed Amin Aamir Saeed Jason Teo Faculty of Computing and Informatics University Malaysia SabahKota KinabaluSabah88400Malaysia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box84428Riyadh11671Saudi Arabia Department of Computer Science Abdul Wali Khan UniversityMardan23200Pakistan College of Computer Sciences and Information Technology King Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Computer Science and IT UET PeshawarJalozai CampusJalozai24240Pakistan

The Internet ofMedical Things(IoMT)is mainly concernedwith the efficient utilisation of wearable devices in the healthcare domain to manage various processes automatically,whereas machine learning approaches enable these smart systems to make informed ***,broadcasting is used for the transmission of frames,whereas congestion,energy efficiency,and excessive load are among the common issues associated with existing *** this paper,a machine learning-enabled shortest path identification scheme is presented to ensure reliable transmission of frames,especially with the minimum possible communication overheads in the IoMT *** this purpose,the proposed scheme utilises a well-known technique,i.e.,Kruskal’s algorithm,to find an optimal path from source to destination wearable ***,other evaluation metrics are used to find a reliable and shortest possible communication path between the two interested *** from that,every device is bound to hold a supplementary path,preferably a second optimised path,for situations where the current communication path is no longer available,either due to device failure or heavy ***,the machine learning approach helps enable these devices to update their routing tables simultaneously,and an optimal path could be replaced if a better one is *** proposed mechanism has been tested using a smart environment developed for the healthcare domain using IoMT *** results show that the proposed machine learning-oriented approach performs better than existing approaches where the proposed scheme has achieved the minimum possible ratios,i.e.,17%and 23%,in terms of end to end delay and packet losses,***,the proposed scheme has achieved an approximately 21%improvement in the average throughput compared to the existing schemes.

关键词： Machine learning Internet of Medical Things healthcare load balancing communication

InSAR as a tool for monitoring hydropower projects:A review

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Energy Geoscience 2022年第2期3卷 160-171页

作者： J.Aswathi R.B.Binoj Kumar T.Oommen E.H.bouali K.S.Sajinkumar Department of Geology University of KeralaThiruvananthapuram695581KeralaIndia Department of Geological and Mining Engineering and Sciences Michigan Technological UniversityHoughtonMIUSA Department of Physical and Life Sciences Nevada State CollegeHendersonNV89002USA

This paper provides a review of using Interferometric Synthetic Aperture Radar(InSAR),a microwave remote sensing technique,for deformation monitoring of hydroelectric power projects,a critical infrastructure that requires consistent and reliable *** all major dams around the world were built for the generation of *** can enhance dam safety by providing timely settlement measurements at high *** paper provides a holistic view of different InSAR deformation monitoring techniques such as Differential Synthetic Aperture Radar Interferometry(DInSAR),Ground-Based Synthetic Aperture Radar(GBInSAR),Persistent Scatterer Interferometric Synthetic Aperture Radar(PSInSAR),Multi-Temporal Interferometric Synthetic Aperture Radar(MTInSAR),QuasiPersistent Scatterer Interferometric Synthetic Aperture Radar(QPSInSAR)and Small BAseline Subset(SBAS).PSInSAR,GBInSAR,MTInSAR,and DInSAR techniques were quite commonly used for deformation *** studies demonstrate the advantage of InSAR-based techniques over other conventional methods,which are laborious,costly,and sometimes *** technology is also favoured for its capability to provide monitoring data at all times of day or night,in all-weather conditions,and particularly for wide areas with mm-scale ***,the method also has some disadvantages,such as the maximum deformation rate that can be monitored,and the location for monitoring cannot be *** this review,we aim to popularize InSAR technology to monitor the deformation of dams,which can also be used as an early warning method to prevent any unprecedented *** study also discusses some case studies from southern India to demonstrate the capabilities of InSAR to indirectly monitor dam health.

关键词： InSAR RADAR Microwave Deformation Dam

A New Full-NT-Step Infeasible Interior-Point Algorithm for SDP Based on a Specific Kernel Function

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Applied Mathematics 2012年第9期3卷 1014-1022页

作者： Samir bouali Samir Kabbaj Department of Mathematics and Informatics Faculty of Sciences University Ibn Tofail Kenitra Morocco

In this paper, we propose a new infeasible interior-point algorithm with full NesterovTodd (NT) steps for semidefinite programming (SDP). The main iteration consists of a feasibility step and several centrality steps. We used a specific kernel function to induce the feasibility step. The analysis is more simplified. The iteration bound coincides with the currently best known bound for infeasible interior-point methods.

关键词： Semidefinite Programming Full Nesterov-Todd Steps Infeasible Interior-Point Methods Polynomial Complexity Kernel Functions

Performance Enhancement of Adaptive Neural Networks Based on Learning Rate

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Computers, Materials & Continua 2023年第1期74卷 2005-2019页

作者： Swaleha Zubair Anjani Kumar Singha Nitish Pathak Neelam Sharma Shabana Urooj samia Rabeh Larguech Department of Computer Science Aligarh Muslim UniversityAligarh202002Uttar PradeshIndia Department of Information Technology Bhagwan Parshuram Institute of Technology(BPIT)GGSIPUNew Delhi110089India Department of Computer Science and Engineering Maharaja Agrasen Institute of Technology(MAIT)GGSIPUNew DelhiIndia Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Deep learning is the process of determining parameters that reduce the cost function derived from the *** optimization in neural networks at the time is known as the optimal *** solve optimization,it initialize the parameters during the optimization *** should be no variation in the cost function parameters at the global *** momentum technique is a parameters optimization approach;however,it has difficulties stopping the parameter when the cost function value fulfills the global minimum(non-stop problem).Moreover,existing approaches use techniques;the learning rate is reduced during the iteration *** techniques are monotonically reducing at a steady rate over time;our goal is to make the learning rate *** present a method for determining the best parameters that adjust the learning rate in response to the cost function *** a result,after the cost function has been optimized,the process of the rate Schedule is *** approach is shown to ensure convergence to the optimal *** indicates that our strategy minimizes the cost function(or effective learning).The momentum approach is used in the proposed *** solve the Momentum approach non-stop problem,we use the cost function of the parameter in our proposed *** a result,this learning technique reduces the quantity of the parameter due to the impact of the cost function *** verify that the learning works to test the strategy,we employed proof of convergence and empirical tests using current methods and the results are obtained using Python.

关键词： Deep learning optimization convergence stochastic gradient methods

Reflective Nano-sieve Holograms

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Reflective Nano-sieve Holograms

作者： samia Osman Hamid Mohammed 中国科学技术大学

学位级别：硕士

近年来,由超薄人工亚波长结构制成的超表面具有电磁波操纵能力强、体积小等优点,因此超表面光学器件被认为是下一代光学元件。光子纳米筛作为振幅型超表面,通常以透射模式实现光学超聚焦、显示和全息术,但具有亚波长尺寸的光子筛与入射... 详细信息

近年来,由超薄人工亚波长结构制成的超表面具有电磁波操纵能力强、体积小等优点,因此超表面光学器件被认为是下一代光学元件。光子纳米筛作为振幅型超表面,通常以透射模式实现光学超聚焦、显示和全息术,但具有亚波长尺寸的光子筛与入射场的耦合作用弱,由此限制器件的光学透射率,从而导致整体效率低下。为解决该问题,我们提出具有超构反射镜的反射型光子纳米筛,实验证明了该纳米筛全息图的总效率比其对应的透射型光子纳米筛高3.5倍。为进一步地增强其效率,我们还提出相位型反射光子纳米筛,在振幅型反射纳米光子筛底部放置金膜和介质层以增强反射(90%)和实现0到2 π的相位调制,其工作波长在750 nm。这为研究高效率纳米光子筛的光学成像和显示奠定基础。本论文取得的成果简述如下:1.提出基于超构反射镜的反射式振幅光子纳米筛全息,其在500 nm到650 nm的工作波长范围内的实验性能与理论仿真吻合。这些超构反射镜的反射率约为50%,高于相同直径的纳米孔的透射率。为优化该全息图,我们采用修正后的遗传算法,只进行变异操作,在优化过程中,从每个超构反射镜的衍射光场可用点源的场近似。输出平面上光场的复振幅分布是用瑞利-索末菲衍射积分公式计算。利用电子束曝光工艺,我们加工制作了该振幅型反射光子纳米筛,其测量的实验效率为7%,是之前报道的3.5倍。2.为进一步提升其效率,基于相同的构型,通过在超构反射镜下增加一层金膜和一层介质膜,我们提出多台阶相位型反射光子纳米筛,利用时域有限差分法,模拟结果揭示其峰值振幅调制为0.9和全相位(2π)调制。该结果为研究高效率反射式光子纳米筛在全息、成像、信息处理和信息安全等领域的应用提供理论依据。

关键词：超表面纳米筛全息图反光镜