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Chinese Chemical Letters 2013年第10期24卷 901-903页

作者： Razieh Doostmohammadi Malek taher Maghsoodlou Nourallah Hazeri Sayyed Mostafa Habibi-Khorassani Department of Chemistry Faculty of ScienceThe University of Sistan and Baluchestan

A facile one-pot synthesis of 3,4,5-substituted furan-2（5H）-one derivatives from a three-component reaction of aniline derivatives, dialkylacetylenedicarboxylates and aromatic aldehydes under mild conditions using t... 详细信息

关键词： 3 4 5-Substituted furan-2(5H)-one Aniline derivative Dialkyl acetylenedicarhoxylate Aromatic aldehyde Tetra-n-butylammonium bisulfate

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Primary care for cancers at diagnosis and follow-up:a narrative review

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Family Medicine and Community Health 2013年第1期1卷 56-67页

作者： CHEW BOON HOW SRI WAHYU taher Department of Family Medicine Universiti Putra MalaysiaMalaysia Klinik Kesihatan Simpang Kuala Alor SetarKedahMalaysia

This paper is concerned about the family physician’s role in early cancer diagnosis and follow-up with his/hers patients who have just been diagnosed with cancer;treatment modalities for cancer;and family physician continuous roles for patients who are under definitive cancer treatment,experiencing side-effects of cancer treatment;some of the effective means to reduce these side-effects during cancer treatment and management of oncologic *** some knowledge on the current cancer therapies would undoubtedly help family physicians to follow up patients with cancer more confidently,to appreciate their side-effects,symptomatic treatment,recognize the limit of primary care and be even useful for counseling and consultation with patients or their family members with a family history of *** searches with terms comprised“cancer”,“malignancy”,“primary care”,“general practice”,“cancer AND diagnosis”and“cancer AND follow-up”were done in the major databases such as Pubmed,ScienceDirect and *** employed selective searches with the above terms and their combination in some of the major journal such as The Lancet Oncology,The Lancet,New England Journal of Medicine,*** were followed by snowballing the relevant articles from the citation of references in those selected *** goal of this narrative review is not to provide exhaustive documentation of sound evidence for practice of primary care for cancer patients at diagnosis and *** mainly aims to provide specific evidence-based information and suggestions that are thought to be relevant for primary care professionals and policymakers.

关键词： Cancers Primary care General practice Office visits Diagnosis Survivors

A Study on the Gas-Solid Particle Flows in a Needle-Free Drug Delivery Device

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Journal of Thermal Science 2013年第4期22卷 340-344页

作者： Md.Alim Iftekhar Rasel Md.Abu taher H.D.Kim Department of Mechanical Engineering Andong National University

Different systems have been used over the years to deliver drug particles to the human skin for pharmaceutical effect. Research has been done to improve the performance and flexibility of these systems. In recent years a unique system called the transdermal drug delivery has been developed. Transdermal drug delivery opened a new door in the field of drug delivery as it is more flexible and offers better performance than the conventional systems. The principle of this system is to accelerate drug particles with a high speed gas flow. Among different transdermal drug delivery systems we will concentrate on the contour shock tube system in this paper. A contoured shock tube is consists of a rupture chamber, a shock tube and a supersonic nozzle section. The drug particles are retained between a set of bursting diaphragm. When the diaphragm is ruptured at a certain pressure, a high speed unsteady flow is initiated through the shock tube which accelerates the particles. Computational fluid dynamics is used to simulate and analyze the flow field. The DPM (discrete phase method) is used to model the particle flow. As an unsteady flow is initiated though the shock tube the drag correlation proposed by Igra et al is used other than the standard drag correlation. The particle velocities at different sections including the nozzle exit are investigated under different operating conditions. Static pressure histories in different sections in the shock tube are investigated to analyze the flow field. The important aspects of the gas and particle dynamics in the shock tube are discussed and analyzed in details.

关键词： Shock tube Drug delivery Contoured shock tube Unsteady flow Biolistics

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Evaluation of charge storage ability of chrome doped Mn2O3 nanostructures derived by cathodic electrodeposition

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Progress in Natural Science:Materials International 2016年第6期26卷 523-527页

作者： Hamideh Darjazi Saied Saeed Hosseiny Davarani Hamid Reza Moazami taher Yousefi Farideh Tabatabaei Department of Materials Enginnering Naghshe Jahan Institute of Higher Education 2. Faculty of ChemistryShahid Beheshti University 3. School of Physics and acceleratorsNSTRI 4. NFCRSNuclear Science and Technology Research Institute

A facile synthetic route has been proposed to prepare cauliflower-like nanostructures of Cr doped MnO. The synthesis was carried out by constant current cathodic electrodeposition from Mnnitrate solutions containing minor amounts of dichromate. It was found that the presence of Cr mediates the formation of cathodic MnOwhich then reacts with the excess Mnspecies to form MnOnanostructures. X-Ray Diffraction(XRD),Scanning Electron Microscopy(SEM) and Differential Thermal Analysis(DTA) were used to characterize the nanostructures. The storage ability of the obtained nanostructures was investigated by cyclic voltammetry(CV)in 0.5 M NaSOsolution. The results indicated that the Cr doped manganese oxide material shows better performance than the non-doped one, and the charge capacity(SC) of doped manganese oxide(218 F/g) was higher than pure manganese oxide(208 F/g).

关键词： Electro synthesis Nanoparticles Energy storage Supercapacitor Manganese oxide

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

Predicting carbon nanotube forest attributes and mechanical properties using simulated images and deep learning

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npj Computational Materials 2021年第1期7卷 1214-1224页

作者： taher Hajilounezhad Rina Bao Kannappan Palaniappan Filiz Bunyak Prasad Calyam Matthew R.Maschmann Mechanical&Aerospace Engineering University of MissouriColumbiaMOUSA Electrical Engineering and Computer Science University of MissouriColumbiaMOUSA

Understanding and controlling the self-assembly of vertically oriented carbon nanotube(CNT)forests is essential for realizing their potential in myriad *** governing process–structure–property mechanisms are poorly understood,and the processing parameter space is far too vast to exhaustively explore *** overcome these limitations by using a physics-based simulation as a high-throughput virtual laboratory and image-based machine learning to relate CNT forest synthesis attributes to their mechanical *** CNTNet,our image-based deep learning classifier module trained with synthetic imagery,combinations of CNT diameter,density,and population growth rate classes were labeled with an accuracy of>91%.The CNTNet regression module predicted CNT forest stiffness and buckling load properties with a lower root-mean-square error than that of a regression predictor based on CNT physical *** results demonstrate that image-based machine learning trained using only simulated imagery can distinguish subtle CNT forest morphological features to predict physical material properties with high *** paves the way to incorporate scanning electron microscope imagery for high-throughput material discovery.

关键词： carbon properties overcome

IoMT-Based Smart Healthcare of Elderly People Using Deep Extreme Learning Machine

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Computers, Materials & Continua 2023年第7期76卷 19-33页

作者： Muath Jarrah Hussam Al Hamadi Ahmed Abu-Khadrah taher M.Ghazal School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia Center for Cyber Security Faculty of Information Science and TechnologyUniversity Kebangsaan Malaysia(UKM)43600BangiSelangorMalaysia Center for Cyber-Physical Systems Khalifa University127788Abu DhabiUAE

The Internet of Medical Things(IoMT)enables digital devices to gather,infer,and broadcast health data via the cloud *** phenomenal growth of the IoMT is fueled by many factors,including the widespread and growing availability of wearables and the ever-decreasing cost of sensor-based *** is a growing interest in providing solutions for elderly people living assistance in a world where the population is rising *** IoMT is a novel reality transforming our daily *** can renovate modern healthcare by delivering a more personalized,protective,and collaborative approach to ***,the current healthcare system for outdoor senior citizens faces new *** healthcare systems are inefficient and lack user-friendly technologies and interfaces appropriate for elderly people in an outdoor ***,in this research work,a IoMT based Smart Healthcare of Elderly people using Deep Extreme Learning Machine(SH-EDELM)is proposed to monitor the senior citizens’*** performance of the proposed SH-EDELM technique gives better results in terms of 0.9301 accuracy and 0.0699 miss rate,respectively.

关键词： ICT ML FN DELM SH-EDELM

Automated diagnosis and staging of Fuchs’endothelial cell corneal dystrophy using deep learning

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Eye and Vision 2020年第1期7卷 423-433页

作者： taher Eleiwa Amr Elsawy EyüpÖzcan Mohamed Abou Shousha Bascom Palmer Eye Institute Miller School of MedicineUniversity of MiamiMiamiFlorida 33136USA Department of Ophthalmology Faculty of MedicineBenha UniversityBenhaEgypt Electrical and Computer Engineering University of MiamiCoral GablesFloridaUSA Net Eye Medical Center GaziantepTurkey Biomedical Engineering University of MiamiCoral GablesFloridaUSA

Background:To describe the diagnostic performance of a deep learning algorithm in discriminating early-stage Fuchs’endothelial corneal dystrophy(FECD)without clinically evident corneal edema from healthy and late-stage FECD eyes using high-definition optical coherence tomography(HD-OCT).Methods:In this observational case-control study,104 eyes(53 FECD eyes and 51 healthy controls)received HDOCT imaging(Envisu R2210,Bioptigen,Buffalo Grove,IL,USA)using a 6 mm radial scan pattern centered on the corneal *** was clinically categorized into early(without corneal edema)and late-stage(with corneal edema).A total of 18,720 anterior segment optical coherence tomography(AS-OCT)images(9180 healthy;5400 early-stage FECD;4140 late-stage FECD)of 104 eyes(81 patients)were used to develop and validate a deep learning classification network to differentiate early-stage FECD eyes from healthy eyes and those with clinical *** 5-fold cross-validation on the dataset containing 11,340 OCT images(63 eyes),the network was trained with 80%of these images(3420 healthy;3060 early-stage FECD;2700 late-stage FECD),then tested with 20%(720 healthy;720 early-stage FECD;720 late-stage FECD).Thereafter,a final model was trained with the entire dataset consisting the 11,340 images and validated with a remaining 7380 images of unseen AS-OCT scans of 41 eyes(5040 healthy;1620 early-stage FECD 720 late-stage FECD).Visualization of learned features was done,and area under curve(AUC),specificity,and sensitivity of the prediction outputs for healthy,early and late-stage FECD were ***:The final model achieved an AUC of 0.997±0.005 with 91%sensitivity and 97%specificity in detecting early-FECD;an AUC of 0.974±0.005 with a specificity of 92%and a sensitivity up to 100%in detecting late-stage FECD;and an AUC of 0.998±0.001 with a specificity 98%and a sensitivity of 99%in discriminating healthy corneas from all ***:Deep learning algorithm is an accurate autonomous nove

关键词： Optical coherence tomography Descemet’s membrane Corneal endothelium Fuchs endothelial dystrophy

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

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