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Cosmetic evaluation of surgical scars after external dacryocystorhinostomy

International Journal of Ophthalmology(English edition) 2016年第12期9卷 1745-1750页

作者： syed ali raza rtzvi Mohammad Saquib Rakesh Maheshwari Yogesh Gupta Zafr Igbal Purleet Maheshwari Institute of Ophthalmology Jawaharlal Nehru Medical College AMU Aligarh.UP 202002 India Department of Oto-Rhino-Laryngology Jawaharlal Nehru Medical College AMU Aligarh.UP 202002 India Department of Oto-Rhino-Laryngology Era's Lucknow Medical College and Hospital Lucknow.UP 226003 India

AIM： To evaluate the surgical scars of external dacryocystorhinostomy （DCR） cosmetically. METHODS： Totally 50 consecutive cases of primary acquired nasolacrimal duct obstruction （PANDO） were included in the study. Surgical scars were assessed by the patients and two independent observers at 2, 6 and 12wk postoperatively on the basis of visibility of the scars and still photographs respectively and were graded from 0-3. Kappa test was utilised to check the agreement of scar grading between the two observers. Wilcoxan signed ranks test was used to analyse the improvement of scar ***： Thirty-four （68%） patients graded their incision site as very visible （grade 3） at 2wk. At 6 and 12wk, incision site was observed as grade 3 by 7 （14%） and 1 （2%） patients respectively. Photographic evaluation of patients by 2 observers showed an average score of 2.75, 1.94 and 0.94 at 2, 6 and 12wk respectively. Change in scar grading from grade 3 to grade 0 in consecutive follow-up （2, 6 and 12wk） was found to be highly significant both for the patient as well for the observers （P〈0.0001）.CONCLUSION： The external DCR is a highly effective and safe procedure and in view of low percentage of cases who complained of marked scarring in the present study, thus scarring should not be the main ground for deciding the approach to DCR surgery, even in young cosmetically conscious patients.

关键词： cosmetic surgical scar external dacryocystorhinostomy primary acquired nasolacrimal duct obstruction

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Decoding molecular mechanisms:brain aging and Alzheimer's disease

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Neural Regeneration Research 2025年第8期20卷 2279-2299页

作者： Mahnoor Hayat Rafay ali syed Hammad Qaiser Mohammad Uzair Khalid Al-Regaiey Roaa Khallaf Lubna Abdullah Mohammed Albassam Imdad Kaleem Xueyi Wang Ran Wang Mehwish SBhatti Shahid Bashir Atta-ur-Rahman School of Applied Biosciences(ASAB) National University of Sciences and Technology(NUST)IslamabadPakistan Department of Biotechnology Quaid-i-Azam UniversityIslamabadPakistan Department of Biological Sciences Faculty of Basic&Applied SciencesInternational Islamic University Islamabad(IIUI)IslamabadPakistan Department of Bioengineering King Fahd University of Petroleum and MineralsDhahranSaudi Arabia Department of Physiology College of MedicineKing Saud UniversityRiyadhSaudi Arabia Department of Neurology Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Mental Health Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Biosciences Commission on Science and Technology for Sustainable Development in the South(COMSATS University)IslamabadPakistan Department of Psychiatry The First Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina Mental Health Institute of Hebei Medical University ShijiazhuangHebei ProvinceChina Department of Neurobiology and Behavior University of CaliforniaIrvineCAUSA Neuroscience Center King Fahad Specialist Hospital DammamDammamSaudi Arabia

The complex morphological,anatomical,physiological,and chemical mechanisms within the aging brain have been the hot topic of research for *** aging process alters the brain structure that affects functions and cognitions,but the worsening of such processes contributes to the pathogenesis of neurodegenerative disorders,such as Alzheimer's *** these observable,mild morphological shifts,significant functional modifications in neurotransmission and neuronal activity critically influence the aging *** these changes is important for maintaining cognitive health,especially given the increasing prevalence of age-related conditions that affect *** review aims to explore the age-induced changes in brain plasticity and molecular processes,differentiating normal aging from the pathogenesis of Alzheimer's disease,thereby providing insights into predicting the risk of dementia,particularly Alzheimer's disease.

关键词： Alzheimer’s disease brain aging cognitive health dementia molecular mechanisms neuronal activity neuroplasticity neurotransmission

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Intelligent Islanding Detection of Multi-distributed Generation Using Artificial Neural Network Based on Intrinsic Mode Function Feature

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Journal of Modern Power Systems and Clean Energy 2020年第3期8卷 511-520页

作者： Samuel Admasie syed Basit ali Bukhari Teke Gush raza Haider Chul Hwan Kim Department of Electrical and Computer Engineering Sungkyunkwan UniversitySuwonSouth Korea U.S.-Pakistan Center for Advanced Studies in Energy(USPCAS-E) National University of Sciences and Technology(NUST)H-12 IslamabadPakistan Department of Electrical Engineering Balochistan University of Engineering and TechnologyKhuzdar 89100Pakistan

The integration of distributed energy resources(DERs) into distribution networks is becoming increasingly important, as it supports the continued adoption of renewable power generation, combined heat and power plants, and storage systems. Nevertheless, inadvertent islanding operation is one of the major protection issues in distribution networks connected to DERs. This study proposes an intelligent islanding detection method(IIDM) using an intrinsic mode function(IMF)feature-based grey wolf optimized artificial neural network(GWO-ANN). In the proposed IIDM, the modal voltage signal is pre-processed by variational mode decomposition followed by Hilbert transform on each IMF to derive highly involved features. Then, the energy and standard deviation of IMFs are employed to train/test the GWO-ANN model for identifying the islanding operations from other non-islanding events. To evaluate the performance of the proposed IIDM, various islanding and non-islanding conditions such as faults, voltage sag, linear and nonlinear load and switching, are considered as the training and testing datasets. Moreover, the proposed IIDM is evaluated under noise conditions for the measured voltage signal. The simulation results demonstrate that the proposed IIDM is capable of differentiating between islanding and non-islanding events without any sensitivity under noise conditions in the test signal.

关键词： Distributed energy resource(DER) intrinsic mode function(IMF) grey wolf optimized artificial neural network(GWO-ANN) intelligent islanding detection method(IIDM) microgrid

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Empirical Thermal Investigation of Oil-Immersed Distribution Transformer under Various Loading Conditions

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Computer Modeling in Engineering & Sciences 2021年第11期129卷 829-847页

作者： syed ali raza Ahsan Ullah Shuang He Yifeng Wang Jiangtao Li School of Electrical Engineering Xi’an Jiaotong UniversityXi’an710049China

The distribution transformer is the mainstay of the power *** internal temperature study is desirable for its safe operation in the power *** purpose of the present study is to determine direct comprehensive thermal distribution in the distribution transformers for different loading *** achieve this goal,the temperature distribution in the oil,core,and windings are studied at each *** experimental study is performed with a 10/0.38 kV,10 kVA oil–immersed transformer equipped with forty–two PT100 sensors(PTs)for temperature measurement installed inside during its manufacturing *** possible locations for the hottest spot temperature(HST)are considered that made by finite element analysis(FEA)simulation and losses calculations.A resistive load is made to achieve 80%to 120%loading of the test transformer for this *** temperature is measured in each part of the transformer at all provided loading *** is observed that temperature varies with loading throughout the transformer,and a detailed map of temperature is obtained in the whole test *** these results,the HST stays in the critical section of the primary winding at all loading *** work is helpful to understand the complete internal temperature layout and the location of the HST in distribution transformers.

关键词： Distribution transformer direct temperature measurement sensor location loading conditions hottest spot temperature thermal distribution

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Low Impedance Fault Identification and Classification Based on Boltzmann Machine Learning for HVDC Transmission Systems

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Journal of Modern Power Systems and Clean Energy 2022年第2期10卷 440-449页

作者： Raheel Muzzammel ali raza the Department of Electrical Engineering University of LahoreLahore 54000Pakistan

Identification and classification of DC faults are considered as fundamentals of DC grid protection.A sudden rise of DC fault current must be identified and classified to immediately operate the corresponding interrupting *** this paper,the Boltzmann machine learning(BML)approach is proposed for identification and classification of DC faults using travelling waves generated at fault point in voltage source converter based high-voltage direct current(VSC-HVDC)transmission *** unsupervised way of feature extraction is performed on the frequency spectrum of the travelling *** class logistic regression(BCLR)classifies the HVDC transmission system into faulty and healthy *** proposed technique reduces the time for fault identification and classification because of reduced tagged data with few ***,the faults near or at converter stations are readily identified and *** performance of the proposed technique is assessed via simulations developed in MATLAB/Simulink and tested for pre-fault and post-fault data both at VSC1 and VSC2,***,the proposed technique is supported by analyzing the root mean square error to show practicality and realization with reduced computations.

关键词： Binary class logistic regression(BCLR) Boltzmann machine learning(BML) DC grid protection fault identification and classification voltage source converter based high-voltage direct current(VSC-HVDC)transmission system

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Mathematical Modelling of Rotavirus Disease Through Efficient Methods

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Computers, Materials & Continua 2022年第9期72卷 4727-4740页

作者： ali raza Department of Mathematics Govt.Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore54000Pakistan

The design of evolutionary approaches has a vital role in the recent development of scientific *** tackle highly nonlinear complex problems,nonlinear ordinary differential equations,partial differential equations,stochastic differential equations,and many more may called computational *** rotavirus causes may include severe diarrhea,vomiting,and fever leading to rapid *** the report of the World Health Organization(WHO),approximately 600,000 children die worldwide each year,80 percent of whom live in developing *** million children are hospitalized each *** Asia,up to 45 percent of the children hospitalized for diarrhea may be infected with *** rotavirus model is categorized into five-compartment like susceptible(S),breastfeeding(M),vaccinated(V),infected(I),and recovered children(R).Positivity,boundedness,equilibria,reproduction number,and stability results are part of the qualitative analysis of the *** that,the design of the evolutionary approaches on the model predicts the efficiency,visualization,long-term behavior of the disease,and best results of the rotavirus *** the end,evolutionary computations are an appropriate tool for double-checking the qualitative examination of the model.

关键词： Rotavirus disease epidemic model methods comparison analysis

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Testing the LCC hypothesis by considering environmental sustainability and economic development:Role of green energy and resource management

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Geoscience Frontiers 2024年第3期15卷 419-430页

作者： Sunil Tiwari syed ali raza Shiv Kumar Gupta Irum Shahzadi Mahendra Babu Kuruva Department of Tourism Studies School of Business StudiesCentral University of KeralaIndia Department of Business Administration IQRA UniversityKarachi 75300Pakistan Centre for Mountain Tourism and Hospitality Studies HNB Garhwal Central UniversitySrinagarUttarakhand 246174India Department of Production Engineering São Paulo State University(UNESP)BauruBrazil Department of Business Administration IQRA University Karachi-75300Pakistan Department of Business Management HNB Garhwal Central UniversitySrinagar GarhwalUttarakhand 246174India

This study aims to demystify the role of green energy and green technology in establishing the nexus between behavioural intentions of tourists,technologies,and digital payments by using Perceived value(PV),Compatibility(CO),Perceived Enjoyment(PE),and Social Influence(SI)as a predictor variables,Trust(TR)and Satisfaction(SA)as a mediating variables and Behavioural Intentions(BI)as an outcome *** the empirical estimation,we employ smart PLS-SEM,TAM(Technology Acceptance Model)and SPSS and Tested the LCC *** findings suggest that green energy and perceived value have the highest positive impact on tourists’trust towards digital payments followed by compatibility,social influence and perceived ***,tourists’satisfaction and green technology is one of the important determinants of choosing any digital mode of payment,is mostly influence by perceived value,perceived enjoyment,compatibility and social ***,if we choose between trust and satisfaction,trust plays a significant role in exploring the behavioural intentions of tourists about green energy and green technology followed by tourists’*** addition,Tourists’trust and satisfaction are highly correlated and influence each *** study offers novel policy implications in terms of use of green technology and green energy in enhancing trust and satisfaction of tourists in order to deeper understanding of different dimensions of digital payments and M-wallets,and allowing them to explore the long-term value inherent of digital payments and M-wallets.

关键词： Digital payment Green technology Green energy Tourism LCC hypothesis

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Edge-Computing with Graph Computation:A Novel Mechanism to Handle Network Intrusion and Address Spoofing in SDN

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Computers, Materials & Continua 2020年第12期65卷 1869-1890页

作者： Rashid Amin Mudassar Hussain Mohammed Alhameed syed Mohsan raza Fathe Jeribi ali Tahir University of Engineering and Technology TaxilaPakistan University of Wah Wah CanttPakistan Jazan University JazanSaudi Arabia Abasyn University Islamabad IslamabadPakistan

Software Defined Networking(SDN)being an emerging network control model is widely recognized as a control and management *** model provides efficient techniques to control and manage the enterprise *** emerging paradigm is edge computing in which data processing is performed at the edges of the network instead of a central *** data processing at the edge nodes reduces the latency and bandwidth *** SDN,the controller is a single point of *** security issues related to the traditional network can be solved by using SDN central management and *** Spoofing and Network Intrusion are the most common *** attacks severely degrade performance and *** propose an edge computing-based mechanism that automatically detects and mitigates those *** this mechanism,an edge system gets the network topology from the controller and the Address Resolution Protocol(ARP)traffic is directed to it for further *** such,the controller is saved from unnecessary processing related to addressing *** propose a graph computation based method to identify the location of an attacker or intruder by implementing a graph difference *** using the correct location information,the exact attacker or intruder is blocked,while the legitimate users get access to the network *** proposed mechanism is evaluated in a Mininet simulator and a POX *** results show that it improves system performance in terms of attack mitigation time,attack detection time,and bandwidth requirements.

关键词： Software Defined Networking(SDN) edge computing Address Resolution Protocol(ARP) ARP inspection security graph difference

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Linking gold prices,fossil fuel costs and energy consumption to assess progress towards sustainable development goals in newly industrialized countries

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Geoscience Frontiers 2024年第3期15卷 447-457页

作者： Muhammad Farhan Bashir Muhammad Adnan Bashir syed ali raza Yuriy Bilan LászlóVasa College of Management Shenzhen UniversityShenzhen518060GuangdongPR China Huangpu Institute Guangdong University of Foreign StudiesGuangzhouGuangdongChina Department of Business Administration IQRA University Karachi-75300Pakistan Adnan Kassar School of Business Lebanese American UniversityBeirutLebanon Faculty of Management Rzeszow University of Technologyal.Powstanców Warszawy 1235-959 RzeszówPoland Faculty of Economics Széchenyi Istvàn UniversityHungary

The continuous rise in global environmental challenges has led to urgency toward establishing a secure framework to achieve sustainable development *** study establishes a novel theoretical framework to analyze the role of energy prices,energy consumption,gold prices and economic growth on environmental degradation in newly industrialized *** realize sustainable development goals and foster environmental defence,this study utilizes CS-ARDL as the main econometric approach to investigate the asymmetric association between environmental degradation and relevant *** also use AMG,CS-DL,Driscoll-Kray and FGLS to enhance the robustness of our *** econometric approach reveals that energy resource prices and renewable energy consumption reduce environmental degradation,while gold prices and fossil energy consumption elevate environmental *** also confirm the existence of the EKC *** findings of our extensive analysis paved the way for a welldesigned environmental policy for NIC economies should focus on renewable energy consumption,green investments,and structural changes.

关键词： Gold prices Fossil fuel costs Renewable Energy Consumption Environmental degradation Newly industrialized countries COP27

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Deep Learning-Based Robust DC Fault Protection Scheme for Meshed HVDC Grids

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CSEE Journal of Power and Energy Systems 2023年第6期9卷 2423-2434页

作者： Muhammad Zain Yousaf Hui Liu ali raza ali Mustafa the School of Electrical Engineering Guangxi UniversityNanning 530004China the School of Electrical Engineering University of LahoreLahore 39161Pakistan the School of Electrical Engineering Xi’an Jiaotong UniversityXi’an 710049China

Fast and reliable detection of faults is a significant technical challenge in transient-based protection for a modular multi-level converter(MMC)based high voltage direct current(HVDC)*** is because existing protection schemes rely heavily upon setting a complicated protective threshold,the failure of which causes high DC-fault currents in HVDC grids,and MMC is prone to such strong transient *** this context,this paper proposes a DC-line fault diagnosis technique based on a tuned long-short-term memory(LSTM)algorithm to improve the response and accuracy of transient-based *** discrete wavelet transform(DWT)extracts the transient features of DC-line voltages in the frequency-time *** healthy and faulty samples are incorporated during training even by considering the noise *** training,numerous test samples are run to evaluate the proposed algorithm’s robustness under various fault *** results show the proposed algorithm can detect DC faults and has a high recognition accuracy of 98.6%.Compared to contemporary techniques,it can perform well to identify DC-line faults because of the efficient training of characteristic features.

关键词： High voltage direct current(HVDC) longshort-term-memory(LSTM) primary protection voltage source converters(VSC)

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