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Neural Regeneration Research 2024年第2期19卷 407-408页

作者： Hao Ding Amgad Droby abdul rauf Anwar Jeffrey M.Hausdorff Bahman Nasseroleslami Anat Mirelman Inbal Maidan Muthuraman Muthuraman Department of Neurology University Hospital WürzburgWürzburgGermany Academic Unit of Neurology Trinity College Dublinthe University of DublinDublinIreland Department of Neurology Sackler Faculty of MedicineTel Aviv UniversityTel AvivIsrael Sagol School of Neuroscience Tel Aviv UniversityTel AvivIsrael Biomedical Engineering Centre UET Lahore(KSK Campus)LahorePakistan Laboratory for Early Markers of Neurodegeneration(LEMON) Center for the Study of MovementCognitionand Mobility(CMCM)Neurological InstituteTel Aviv Sourasky Medical CenterTel AvivIsrael Department of Physical Therapy Sackler Faculty of MedicineTel Aviv UniversityTel AvivIsrael Rush Alzheimer’s Disease Center and Department of Orthopaedic Surgery Rush University Medical CenterChicagoILUSA

Parkinson’s disease(PD)is a complex neurodegenerative disorder characterized by a range of motor symptoms such as bradykinesia,resting tremor,rigidity,and postural instability,as well as non-motor symptoms,such as de... 详细信息

关键词： rigidity fatigue

A Semantic Adversarial Network for Detection and Classification of Myopic Maculopathy

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Computers, Materials & Continua 2023年第4期75卷 1483-1499页

作者： Qaisar Abbas abdul rauf Baig Ayyaz Hussain College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Computer Science Quaid-i-Azam UniversityIslamabad44000Pakistan

The diagnosis of eye disease through deep learning (DL) technologyis the latest trend in the field of artificial intelligence (AI). Especially indiagnosing pathologic myopia (PM) lesions, the implementation of DL is adifficult task because of the classification complexity and definition system ofPM. However, it is possible to design an AI-based technique that can identifyPM automatically and help doctors make relevant decisions. To achieve thisobjective, it is important to have adequate resources such as a high-qualityPM image dataset and an expert team. The primary aim of this research isto design and train the DLs to automatically identify and classify PM intodifferent classes. In this article, we have developed a new class of DL models(SAN-FSL) for the segmentation and detection of PM through semanticadversarial networks (SAN) and few-short learning (FSL) methods, *** to DL methods, the conventional segmentation methodsuse supervised learning models, so they (a) require a lot of data for trainingand (b) fixed weights are used after the completion of the training *** solve such problems, the FSL technique was employed for model trainingwith few samples. The ability of FSL learning in UNet architectures is beingexplored, and to fine-tune the weights, a few new samples are being providedto the UNet. The outcomes show improvement in the detection area andclassification of PM stages. Betterment in the result is observed by sensitivity(SE) of 95%, specificity (SP) of 96%, and area under the receiver operatingcurve (AUC) of 98%, and the higher F1-score is achieved using 10-fold ***, the obtained results confirmed the superiority of theSAN-FSL method.

关键词： Artificial intelligence cardiovascular vision loss deep learning few-shot learning semantic segmentation myopic maculopathy

Transfer Learning-based Computer-aided Diagnosis System for Predicting Grades of Diabetic Retinopathy

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Computers, Materials & Continua 2022年第6期71卷 4573-4590页

作者： Qaisar Abbas Mostafa E.A.Ibrahim abdul rauf Baig College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityQalubiaBenha13518Egypt

Diabetic retinopathy(DR)diagnosis through digital fundus images requires clinical experts to recognize the presence and importance of many intricate *** task is very difficult for ophthalmologists and ***,many computer-aided diagnosis(CAD)systems were developed to automate this screening process *** this paper,aCAD-DR system is proposed based on preprocessing and a pre-train transfer learningbased convolutional neural network(PCNN)to recognize the five stages of DR through retinal fundus *** develop this CAD-DR system,a preprocessing step is performed in a perceptual-oriented color space to enhance the DR-related lesions and then a standard pre-train PCNN model is improved to get high classification *** architecture of the PCNN model is based on three main ***,the training process of the proposed PCNN is accomplished by using the expected gradient length(EGL)to decrease the image labeling efforts during the training of the CNN ***,themost informative patches and images were automatically selected using a few pieces of training labeled ***,the PCNN method generated useful masks for prognostication and identified regions of ***,the DR-related lesions involved in the classification task such as micro-aneurysms,hemorrhages,and exudates were detected and then used for recognition of *** PCNN model is pre-trained using a high-end graphical processor unit(GPU)on the publicly available Kaggle *** obtained results demonstrate that the CAD-DR system outperforms compared to other state-of-the-art in terms of sensitivity(SE),specificity(SP),and accuracy(ACC).On the test set of 30,000 images,the CAD-DR system achieved an average SE of 93.20%,SP of 96.10%,and ACC of 98%.This result indicates that the proposed CAD-DR system is appropriate for the screening of the severity-level of DR.

关键词： Diabetic Retinopathy retinal fundus images computer-aided diagnosis system deep learning transfer learning convolutional neural network

Hypo-Driver: A Multiview Driver Fatigue and Distraction Level Detection System

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Computers, Materials & Continua 2022年第4期71卷 1999-2017页

作者： Qaisar Abbas Mostafa EAIbrahim Shakir Khan abdul rauf Baig College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityQalubiaBenha13518Egypt

Traffic accidents are caused by driver fatigue or distraction in many *** prevent accidents,several low-cost hypovigilance(hypo-V)systems were developed in the past based on a multimodal-hybrid(physiological and behavioral)feature *** in this paper,real-time driver inattention and fatigue(Hypo-Driver)detection system is proposed through multi-view cameras and biosignal sensors to extract hybrid *** considered features are derived from non-intrusive sensors that are related to the changes in driving behavior and visual facial *** get enhanced visual facial features in uncontrolled environment,three cameras are deployed on multiview points(0◦,45◦,and 90◦)of the *** develop a Hypo-Driver system,the physiological signals(electroencephalography(EEG),electrocardiography(ECG),electro-myography(sEMG),and electrooculography(EOG))and behavioral information(PERCLOS70-80-90%,mouth aspect ratio(MAR),eye aspect ratio(EAR),blinking frequency(BF),head-titled ratio(HT-R))are collected and pre-processed,then followed by feature selection and fusion *** driver behaviors are classified into five stages such as normal,fatigue,visual inattention,cognitive inattention,and *** improved hypo-Driver system utilized trained behavioral features by a convolutional neural network(CNNs),recurrent neural network and long short-term memory(RNN-LSTM)model is used to extract physiological *** fusion of these features,the Hypo-Driver system is classified hypo-V into five stages based on trained layers and dropout-layer in the deep-residual neural network(DRNN)*** test the performance of a hypo-Driver system,data from 20 drivers are *** results of Hypo-Driver compared to state-of-theart methods are *** to the state-of-the-art Hypo-V system,on average,the Hypo-Driver system achieved a detection accuracy(AC)of 96.5%.The obtained results indicate that the Hypo-Driver system based on multimodal and multivie

关键词： Internet of things(IoT) intelligent transportation sensors multiview points transfer learning convolutional neural network recurrent neural network residual neural network multimodal features

Characterization and anticancer potential of Withania somnifera fruit bioactives(a native species to Pakistan)using gas chromatography-mass spectrometer,nuclear magnetic resonance and liquid chromatography-mass spectrometry-electrospray ionization

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Journal of Traditional Chinese Medicine 2022年第6期42卷 908-914页

作者： Qudsia Tabassam Tahir Mehmood Sibtain Ahmed Farooq Anwar abdul rauf Raza Institute of Chemistry University of SargodhaSargodha-40100Pakistan Institute of Biochemistry and Biotechnology University of Veterinary and Animal Sciences-UVAS54000-Lahore.Pakistan University of California San Diego 9500 Gilman Drive La JollaCA 92093USA

INTRODUCTION:Withania somnifera(***)is a plant with remarkable pharmacological *** plant has an impressive profile of medicinal uses in the folk medicine system of several ***:This comprehensive study is aimed to characterize phytochemicals in fruit of *** and tested for in vitro anticancer potential to find out active candidate in disease prevention and ***:The bioactive components from *** fruit were extracted with polar and non-polar *** potential of the isolated bioactive was assessed against different cancer cell lines through MTT assay and Incucytes imaging *** extracts were characterized for secondary metabolites using GCMS(gas chromatography-mass spectrometer),LCMS(liquid(electrospray Ionization)and 1H-NMR(electrospray Ionization)***:Both freeze-dried and rotary evaporator condensed extracts exhibited anticancer potential against MDA-MB-231,MCF7-SKOV3 and SKBR3 cell *** tested extracts have cell growth inhibition potential against mammalian cancer cell *** acid purified from n-hexane extract through HPLC was investigated for its cytotoxicity against breast cancer cell line SKBR3 by using Incucytes imaging ***:We found that a variety of bioactive compounds existed in this *** identified compound that was not investigated for cytotoxicity in previous studies was purified and its application showed cytotoxicity on breast cancer cell lines.A number of bioactive identified from *** fruit may have an effective potential for development into chemotherapy drugs.

关键词： phytochemicals plants medicinal anti-cancer activities purification state-of-the-art techniques

A Compact 28 GHz Millimeter Wave Antenna for Future Wireless Communication

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Computers, Materials & Continua 2022年第7期72卷 301-314页

作者： Shahid Khan Adil Bashir Haider Ali abdul rauf Mohamed Marey Hala Mostafa Ikram Syed LCOMS ASECUniversity de LorraineMetz57070France Department of Electrical and Computer Engineering Comsats University IslamabadAbbottabad Campus22060Pakistan Electrical Engineering Department Bahauddin Zakariya UniversityMultan60800Pakistan Department of Electronics Technology University of TechnologyNowshera24100Pakistan Department of Electrical Engineering National University of Sciences and TechnologyH-12Islamabad44000Pakistan Smart Systems Engineering Laboratory College of EngineeringPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Computer Software Engineering Military College of SignalsNational University of Sciences and TechnologyIslamabad44000Pakistan

This article presents a novel modified chuck wagon dinner bell shaped millimeter wave(mm-wave)antenna at 28 *** proposed design has ultra-thin Rogers 5880 substrate with relative permittivity of *** design consists of T shaped resonating elements and two open ended side *** desired 28 GHz frequency response is achieved by careful parametric modeling of the proposed *** maximum achieved single element gain at the desired resonance frequency is 3.45 *** efficiency of the proposed design over the operating band is more than 88%.The impedance bandwidth achieved for−10 dB reference value is nearly 2.9 *** proposed antenna is transformed into four element linear array which increases the gain up to 10.5 *** fabricated prototype is tested for the measured *** is observed that measured results closely match the simulated *** considering its simple structure and focused radiation patterns,the proposed design is well suited for IoT(Internet of Things),mmWave microwave sensing,5G and future RF(Radio Frequency)frontends.

关键词： RF front-ends mmWave partial ground plane 28 GHz IoT 5G antenna

Health Monitoring of Induction Motor Using Electrical Signature Analysis

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Journal of Donghua University(English Edition) 2022年第3期39卷 265-271页

作者：赵萍 College of Information Science and Technology Donghua University Shanghai 201620 China Department of Electrical Engineering and Technology University of Engineering and Technology Lahore 54890 Pakistan

Induction motors have been widely used across industry,particularly with smaller loads and fixed speed *** works focus on fault detection of induction motors without considering the shutdown time and production in ***,this work aims to monitor the health conditions of the induction motor continuously through electrical signature analysis(ESA).The proposed technique is capable of predicting different kinds of faults,i.e.,rotor faults,stator phase imbalances,and supply cable faults at early ***,ESA in real time is ***,these current spectra were analyzed in frequency domain and compared with healthy current *** evaluation is implemented by observing these spectra under different faulty conditions.A comparative study is made and analyzed through MATLAB simulations.

关键词： induction motor electrical signature analysis(ESA) fast Fourier transform(FFT)

Synthesis of novel 3,5-disubstituted-dihydroisoxazoles from methyl undec-10-enoate and isoxazoles,triazole and tetrazolo-triazole from methyl undec-10-ynoate

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Chinese Chemical Letters 2009年第10期20卷 1145-1149页

作者： Shweta Sharma abdul rauf Department of Chemistry Aligarh Muslim UniversityAligarh 202002 India

The efficient cycloaddition reactions were carried out to afford the novel 3,5-disubstituted-dihydroisoxazoles from methyl undec-10-enoate and isoxazoles, triazole and tetrazolo-triazole from methyl undec-10-ynoate. T... 详细信息

关键词： 3,5-Disubstituted-dihydroisoxazoles Triazole Methyl undec-10-enoate and undec-10-ynoate

A Novel One Pot Synthesis of o-Nitrophenylacetic Acid and Unexpected p-Nitrobenzoic Acid by HNO3-Mediated CHz Extrusion Reaction of Phenylacetic Acid

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Chinese Journal of Chemistry 2012年第2期30卷 353-356页

作者： Sohail,Muhammad Raza,abdul rauf Ibn-e-Sina Block Department of ChemistryUniversity of SargodhaSargodha 40100Pakistan Department of Applied Chemistry School of Chemical Engineering and EnvironmentBeijing Institute of Technology5 South Zhongguaneun StreetHaidian DistrictBeijing 100081China

The HNO3-mediated commercially important 2-nitrophenylacetic acid. CH2 extrusion reactions product 4-nitrobenzoic of phenylacetic acid lead to acid through the formation one pot synthesis of unexpected of 4-nitropheny... 详细信息

关键词： synthetic methods regioselectivity carboxylic acid aromatic substitution industrial chemistry

One-pot synthesis,antibacterial and antifungal activities of novel 2,5-disubstituted-1,3,4-oxadiazoles

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Chinese Chemical Letters 2008年第1期19卷 5-8页

作者： abdul rauf Shweta Sharma Saloni Gangal Department of Chemistry Aligarh Muslim UniversityAligarh 202002India

A series of novel 2,5-disubstituted-1,3,4-oxadiazoles have been synthesized from long-chain alkanoic and alkenoic acids. The structures of these compounds have been elucidated by elemental and spectral （IR, ^1H NMR, ^13C NMR, MS） analysis. Furthermore, compounds were screened for in vitro antibacterial activity against the representative panel of two Gram-positive and two Gram- negative bacteria. All the synthesized compounds were also tested for their inhibitory action against five strains of fungus. The various compounds show potent inhibitory action against test organisms. 2007 abdul rauf. Published by Elsevier B.V. on behalf of Chinese Chemical Society. All rights reserved.

关键词： 2,5-Disubstituted-l,3,4-oxadiazoles Antibacterial activity Antifungal activity