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Science China(Information Sciences) 2021年第6期64卷 203-221页

作者： nabil sabor Yongfu LI Zhe ZHANG Yu PU Guoxing WANG Yong LIAN Department of Micro-Nano Electronics Shanghai Jiao Tong University Electrical Engineering Department Assiut University MoE Key Lab of Artificial Intelligence Shanghai Jiao Tong University Alibaba DAMO Academy

Detection of interictal epileptic discharges(IED) events in the EEG recordings is a critical indicator for detecting and diagnosing epileptic seizures. We propose a key technology to extract the most important features related to epileptic seizures and identifies the IED events based on the interaction between frequencies of EEG with the help of a two-level recurrent neural network. The proposed classification network is trained and validated using the largest publicly available EEG dataset from Temple University *** results clarified that the interaction between β and β bands, β and γ bands, γ and γ bands,δ and δ bands, θ and α bands, and θ and β bands have a significant effect on detecting the IED ***, the obtained results showed that the proposed technique detects 95.36% of the IED epileptic events with a false-alarm rate of 4.52% and a precision of 87.33% by using only 25 significant features. Furthermore,the proposed system requires only 164 ms for detecting a 1-s IED event which makes it suitable for real-time applications.

关键词： interictal epileptic discharges epilepsy discrete wavelet transform wavelet bispectrum long short-term memory recurrent neural network

Gram Matrix-Based Convolutional Neural Network for Biometric Identification Using Photoplethysmography Signal

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Journal of Shanghai Jiaotong university(Science) 2022年第4期27卷 463-472页

作者： Wu Caiyu sabor nabil Zhou Shihong Wang Min Ying Liang Wang Guoxing Department of Micro-Nano Electronics Shanghai Jiao Tong UniversityShanghai200240China MoE Key Lab of Artificial Intelligence Shanghai Jiao Tong UniversityShanghai200240China Electrical Engineering Department Assiut UniversityAssiut71516Egypt Department of Urology Renji HospitalShanghai Jiao Tong University School of MedicineShanghai200127China

As a kind of physical signals that could be easily acquired in daily life,photoplethysmography(PPG)signal becomes a promising solution to biometric identification for daily access management system(AMS).State-of-the-art PPG-based identification systems are susceptible to the form of motions and physical conditions of the *** this work,to exploit the advantage of deep learning,we developed an improved deep convolutional neural network(CNN)architecture by using the Gram matrix(GM)technique to convert time-serial PPG signals to two-dimensional images with a temporal dependency to improve accuracy under different forms of *** ensure a fair evaluation,we have adopted cross-validation method and“training and testing”dataset splitting method on the TROIKA dataset collected in ambulatory *** a result,the proposed GM-CNN method achieved accuracy improvement from 69.5%to 92.4%,which is the best result in terms of multi-class classification compared with state-of-the-art *** on average five-fold cross-validation,we achieved an accuracy of 99.2%,improved the accuracy by 3.3%compared with the best existing method for the binary-class.

关键词： photoplethysmography(PPG) biometric identification Gram matrix(GM) convolutional neural network(CNN) multi-class classification

Emulation of Brain Metabolic Activities Based on a Dynamically Controllable Optical Phantom

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Cyborg and Bionic Systems 2023年第1期4卷 84-92页

作者： Yuxiang Lin Cheng Chen Zhouchen Ma nabil sabor Yanyan Wei Tianhong Zhang Mohamad Sawan Guoxing Wang Jian Zhao Department of Micro-Nano Electronics Shanghai Jiao Tong UniversityShanghaiChina Electrical Engineering Department Faculty of EngineeringAssiut UniversityAssiutEgypt Shanghai Mental Health Center Shanghai Jiao Tong University School of MedicineShanghaiChina CenBRAIN Neurotech School of EngineeringWestlake UniversityHangzhouChina

This paper presents a dynamic optical phantom for the simulation of metabolic activities in the brain,and a linear equivalent model is built for control voltage versus substance concentration.A solid-solid dynamic optical phantom is realized by using liquid crystal film as a voltage-controlled light intensity regulator on the surface of basic phantom,which uses epoxy resin as matrix material and nanometer carbon powder and titanium dioxide powder as absorption and scattering dopants,*** dynamic phantom could mimic near-infrared spectrum(NIRS)signals with sampling rate up to 10 Hz,and the maximum simulation errors for oxy-hemoglobin and deoxy-hemoglobin concentrations varying in the range of 1μmol/l are 7.0%and 17.9%,*** with similar solid biomimetic phantoms,the adjustable mimic substance concentration range is extended by an order of magnitude,which meets the simulation requirements of most brain NIRS signals.

关键词： dynamic powder titanium

A New Method for Fastening the Convergence of Immune Algorithms Using an Adaptive Mutation Approach

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Journal of Signal and Information Processing 2012年第1期3卷 86-91页

作者： Mohammed Abo-Zahhad Sabah M. Ahmed nabil sabor Ahmad F. Al-Ajlouni Communication Engineering Department Hijjawi Faculty for Engineering Technology Yarmouk University Irbid Jordan Electrical and Electronics Engineering Department Faculty of Engineering Assiut University Assiut Egypt

This paper presents a new adaptive mutation approach for fastening the convergence of immune algorithms (IAs). This method is adopted to realize the twin goals of maintaining diversity in the population and sustaining the convergence capacity of the IA. In this method, the mutation rate (pm) is adaptively varied depending on the fitness values of the solutions. Solutions of high fitness are protected, while solutions with sub-average fitness are totally disrupted. A solution to the problem of deciding the optimal value of pm is obtained. Experiments are carried out to compare the proposed approach to traditional one on a set of optimization problems. These are namely: 1) an exponential multi-variable function;2) a rapidly varying multimodal function and 3) design of a second order 2-D narrow band recursive LPF. Simulation results show that the proposed method efficiently improves IA’s performance and prevents it from getting stuck at a local optimum.

关键词： Adaptive Mutation Immune Algorithm Convergence Traditional Mutation

Few-shot learning for screening 2D Ga2CoS4-x supported single-atom catalysts for hydrogen production

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Journal of Energy Chemistry 2025年第1期100卷 665-673页

作者： nabil Khossossi Poulumi Dey Department of Mechanical Engineering (ME) Delft University of Technology

Hydrogen generation and related energy applications heavily rely on the hydrogen evolution reaction（HER）,which faces challenges of slow kinetics and high *** electrocatalysts,particularly single-atom catalysts （SACs） on two-dimensional （2D） materials,are *** study presents a few-shot machine learning （ML） assisted high-throughput screening of 2D septuple-atomic-layer Ga2CoS4-xsupported SACs to predict HER catalytic ***,density functional theory （DFT）calculations showed that 2D Ga2CoS4is inactive for ***,defective Ga2CoS4-x（x=0–0.25）monolayers exhibit excellent HER activity due to surface sulfur vacancies （SVs）,with predicted overpotentials （0–60 mV） comparable to or lower than commercial Pt/C,which typically exhibits an overpotential of around 50 m V in the acidic electrolyte,when the concentration of surface SV is lower than 8.3%.SVs generate spin-polarized states near the Fermi level,making them effective HER *** demonstrate ML-accelerated HER overpotential predictions for all transition metal SACs on 2D *** DFT data from 18 SACs,an ML model with high prediction accuracy and reduced computation time was *** intrinsic descriptor linking SAC atomic properties to HER overpotential was *** study thus provides a framework for screening SACs on 2D materials,enhancing catalyst design.

关键词： Hydrogen production Electrocatalyst 2D material Density functional theory Machine learning Surface sulfur vacancy

Enhancing metformin efficacy with cholecalciferol and taurine in diabetes therapy:Potential and limitations

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World Journal of Diabetes 2025年第1期16卷 22-26页

作者： Gehan El-Akabawy nabil Eid Department of Basic Medical Sciences College of MedicineAjman UniversityAjman 346United Arab Emirates Department of Anatomy Division of Human BiologySchool of MedicineIMU UniversityKuala Lumpur 57000Malaysia

Diabetes mellitus,particularly type 2 diabetes mellitus(T2DM),poses a significant global health *** management strategies primarily focus on glycemic control;however,there is a growing need for comprehensive approaches addressing the complex pathophysiology of diabetes *** recent study by Attia et al explores the potential of a novel therapy combining metformin with cholecalciferol(vitamin D3)and taurine to mitigate T2DM-related complications in a rat *** findings indicate that this treatment combination improves glycemic control and reduces oxidative stress,inflammation,and lipid ***,the study is limited by a lack of safety profile data and in-depth molecular mechanism *** editorial critically highlights the study's strengths and weaknesses,compares it against other combination therapy research in T2DM,and underscores the need to explore further the mechanisms underpinning the observed therapeutic effects and investigate the safety profile of this novel approach.

关键词： Diabetes Metformin Cholecalciferol Taurine Hyperglycemia Oxidative stress Triglycerides

TORQUE CAPACITY AND CONTACT EFFICIENCY OF A HALF TOROIDAL CONTINUOUSLY VARIABLE TRANSMISSIONS

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Chinese Journal of Mechanical Engineering 2004年第3期17卷 457-462页

作者： nabil Abdulla Attia Stats Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing 400044China

The automotive industry is seeking new concepts for a continuously variabletransmission (CVT) in the driveline. One possible solution for a CVT design is half toroidaltraction drive, providing a high torque capacity with quick ratio change. An analytical study on thecontact points of the half toroidal CVT has been detailed. The shapes of the contact areas amongthe input disk, power roller and output disk are considered ellipses. Mathematical equations forestimating the torque capacity, power loss due to spin action, and contact efficiency of theelliptical contacts of the half toroidal CVT are formulated and expressed in the form of integralswhich can be readily evaluated by numerical scheme. The contact efficiency calculations of the halftoroidal CVT have been developed for the proper spin point locations under the effect of systemparameters. Numerical results are presented hi graphical forms for considered parameters, which canhelp the designer to select the proper system parameters to minimize the undesirable spin effects.

关键词： Continuously variable transmission Half toroidal Elliptical contact Torquecapacity Contact efficiency System parameters Spin

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Switch mode capacitive pressure sensors

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Microsystems & Nanoengineering 2022年第6期8卷 47-60页

作者： nabil Shalabi Kyle Searles Kenichi Takahata Department of Electrical and Computer Engineering University of British ColumbiaVancouverBC V6T 1Z4Canada School of Biomedical Engineering University of British ColumbiaVancouverBC V6T 1Z3Canada

Switch mode capacitive pressure sensors are proposed as a new class of microfabricated devices that transform pressure into a mechanically switching capacitance to form an analog-to-digital signal with zero power,high sensitivity,and a high signal-to-noise ratio.A pressure-sensitive gold membrane suspended over a capacitive cavity makes ohmic contact with patterned gold leads on the substrate,closing circuits to fixed on-chip capacitors outside the cavity and leading to significant step *** function is achieved by allocating the switch leads on the part of the counter electrode area,while the remaining area is used for touch mode analog capacitive *** sensor microchip is prototyped through a novel design approach to surface micromachining that integrates micro-Tesla valves for vacuum sealing the sensor cavity,showing an unprecedented response to applied *** a gauge pressure range of 0–120 mmHg,the sensor exhibits an increase of 13.21 pF with resultant switch events,each of which ranges from 2.53–3.96 pF every 12–38 mmHg,in addition to the touch mode linear capacitive increase between *** equivalent sensitivity is 80–240 fF/mmHg,which is 11–600×more than commercial and reported touch mode sensors operating in similar pressure *** sensor is further demonstrated for wireless pressure tracking by creating a resonant tank with the sensor,showing a 32.5–101.6 kHz/mmHg sensitivity with frequency jumps led by the switch *** developed sensor,with its promising performance,offers new application opportunities in a variety of device areas,including health care,robotics,industrial control,and environmental monitoring.

关键词： mode cavity sealing

Stability of Three-Dimensional Interfacial Waves Under Subharmonic Disturbances

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China Ocean Engineering 2023年第4期37卷 558-567页

作者： nabil ALLALOU Mohammed DEBIANE Christian KHARIF Facultéde Physique Universitédes Sciences et de la Technologie Houari Boumediene(USTHB)Algiers 16123Algeria Technopole de Chateau-Gombert Institut de Recherche sur les Phénomènes Hors Equilibre(IRPHE)Marseille 13384France

This study examines the stability regimes of three-dimensional interfacial gravity *** numerical results of the linear stability analysis extend the three-dimensional surface waves results of Ioualalen and Kharif(1994)to three-dimensional interfacial *** approach of the collocation type has been developed for this *** equations of motion are reduced to an eigenvalue problem where the perturbations are spectrally decomposed into normal *** results obtained showed that the density ratio plays a stabilizing *** addition,the dominant instability is of three-dimensional structure,and it belongs to class I for all values of density ratio.

关键词： short-crested interfacial waves linear stability collocation method Padéapproximant

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An incommensurate fractional discrete macroeconomic system:Bifurcation,chaos,and complexity

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Chinese Physics B 2023年第3期32卷 58-67页

作者： Abderrahmane Abbes Adel Ouannas nabil Shawagfeh Department of Mathematics University of JordanAmman 11942Jordan Department of Mathematics and Computer Science University of Larbi Ben M'hidiOum El Bouaghi 04000Algeria

This study proposes a novel fractional discrete-time macroeconomic system with incommensurate *** dynamical behavior of the proposed macroeconomic model is investigated analytically and *** particular,the zero equilibrium point stability is investigated to demonstrate that the discrete macroeconomic system exhibits chaotic *** using bifurcation diagrams,phase attractors,the maximum Lyapunov exponent and the 0–1 test,we verified that chaos exists in the new model with incommensurate fractional ***,a complexity analysis is carried out utilizing the approximation entropy(ApEn)and C_(0)complexity to prove that chaos ***,the main findings of this study are presented using numerical simulations.

关键词： chaos macroeconomic system discrete fractional calculus complexity

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