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Determinants of prognosis in metastatic urothelial carcinoma:a review of the literature

Journal of Cancer Metastasis and Treatment 2022年第1期8卷 240-252页

作者： Gavin Hui ali raza khaki Petros Grivas Department of Medicine Stanford UniversityStanfordCA 94304USA Division of Oncology Department of MedicineStanford UniversityStanfordCA 94304USA Division of Medical Oncology Department of MedicineUniversity of WashingtonFred Hutchinson Cancer CenterSeattleWA 98109USA

The treatments for metastatic urothelial carcinoma(mUC)have advanced substantially since *** tools have been used to inform clinical trial designs and treatment ***,prognostic tools were developed for mUC based on older clinical trials involving cytotoxic *** novel therapies emerged,there are studies investigating prognostic factors in the era of immune checkpoint inhibitors(ICI),antibody-drug conjugates,and targeted *** review aims to highlight prognostic factors in mUC and their potential in clinical decision-making and *** the setting of chemotherapy,patient performance status,site of metastatic burden,and specific laboratory findings were found to have prognostic value in *** the era of ICI,newer models identified variables such as neutrophil to lymphocyte ratio,platelet count,and lactate dehydrogenase to also have potential prognostic *** addition to clinical biomarkers,molecular biomarkers,such as PD-L1 assay and fibroblast growth factor receptor 2 and 3 genomic testings,may have promising prognostic and predictive *** methods of identifying clinical and molecular prognostic factors involve clinician *** large complex datasets emerge,machine learning and artificial intelligence may help data analysis and detect important prognostic *** careful validation,such machine learning-based strategies may help create more robust prognostic and/or predictive models in the future.

关键词： Bladder cancer biomarkers health outcomes nomogram prediction prognosis urothelial carcinoma urinary tract cancers

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Evolutionary Safe Padé Approximation Scheme for Dynamical Study of Nonlinear Cervical Human Papilloma Virus Infection Model

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2275-2296页

作者： Javaid ali Armando Ciancio Kashif ali Khan Nauman raza Haci Mehmet Baskonus Muhammad Luqman Zafar-Ullah Khan Department of Mathematics Govt.Graduate College TownshipLahore54770Pakistan Universitàdegli Studi di Messina Dipartimento di Scienze BiomedicheOdontoiatriche e delle Immagini Morfologiche e FunzionaliMessina98122Italy Department of Mathematics University of Engineering and TechnologyLahore54890Pakistan Department of Mathematics University of the PunjabLahore54590Pakistan Mathematics Research Center Near East University TRNCMersin 10Nicosia99138Turkey Department of Mathematics and Science Education Faculty of EducationHarran UniversitySanliurfa63190Turkey Department of Dermatology Rashid Latif Medical CollegeLahore54600Pakistan

This study proposes a structure-preserving evolutionary framework to find a semi-analytical approximate solution for a nonlinear cervical cancer epidemic(CCE)*** underlying CCE model lacks a closed-form exact *** solutions obtained through traditional finite difference schemes do not ensure the preservation of the model’s necessary properties,such as positivity,boundedness,and ***,the development of structure-preserving semi-analytical approaches is always *** research introduces an intelligently supervised computational paradigm to solve the underlying CCE model’s physical properties by formulating an equivalent unconstrained optimization ***-free safe Padérational functions approximate the mathematical shape of state variables,while the model’s physical requirements are treated as problem *** primary model of the governing differential equations is imposed to minimize the error between approximate *** evolutionary algorithm,the Genetic Algorithm with Multi-Parent Crossover(GA-MPC),executes the optimization *** resulting method is the Evolutionary Safe PadéApproximation(ESPA)*** proof of unconditional convergence of the ESPA scheme on the CCE model is supported by numerical *** performance of the ESPA scheme on the CCE model is thoroughly investigated by considering various orders of non-singular Padéapproximants.

关键词： Nonlinear cervical cancer epidemic non-singular Padéapproximants approximate solutions computational biology

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Numerical Analysis of Bacterial Meningitis Stochastic Delayed Epidemic Model through Computational Methods

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 311-329页

作者： Umar Shafique Mohamed Mahyoub Al-Shamiri ali raza Emad Fadhal Muhammad Rafiq Nauman Ahmed Department of Mathematics National College of Business Administration and EconomicsLahore54660Pakistan Department of Mathematics Applied CollegeMahayl AssirKing Khalid UniversityAbha62529Saudi Arabia Department of Physical Sciences The University of ChenabGujrat50700Pakistan Department of Mathematics&Statistics College of ScienceKing Faisal UniversityP.O.Box 400Al-Ahsa31982Saudi Arabia Department of Computer Science and Mathematics Lebanese American UniversityBeirut1102-2801Lebanon Department of Mathematics Faculty of Science and TechnologyUniversity of Central PunjabLahore54000Pakistan Department of Mathematics and Statistics University of LahoreLahore54000Pakistan

Based on theWorld Health Organization(WHO),Meningitis is a severe infection of the meninges,the membranes covering the brain and spinal *** is a devastating disease and remains a significant public health *** study investigates a bacterial meningitis model through deterministic and stochastic ***-compartment population dynamics explain the concept,particularly the susceptible population,carrier,infected,and *** model predicts the nonnegative equilibrium points and reproduction number,i.e.,the Meningitis-Free Equilibrium(MFE),and Meningitis-Existing Equilibrium(MEE).For the stochastic version of the existing deterministicmodel,the twomethodologies studied are transition probabilities and non-parametric ***,positivity,boundedness,extinction,and disease persistence are studiedrigorouslywiththe helpofwell-known *** and nonstandard techniques such as EulerMaruyama,stochastic Euler,stochastic Runge Kutta,and stochastic nonstandard finite difference in the sense of delay have been presented for computational analysis of the stochastic ***,standard methods fail to restore the biological properties of the model,so the stochastic nonstandard finite difference approximation is offered as an efficient,low-cost,and independent of time step *** addition,the convergence,local,and global stability around the equilibria of the nonstandard computational method is studied by assuming the perturbation effect is *** simulations and comparison of the methods are presented to support the theoretical results and for the best visualization of results.

关键词： BacterialMeningitis disease stochastic delayed model stability analysis extinction and persistence computational methods

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Bond-Slip Behavior of Steel Bar and Recycled Steel Fibre-Reinforced Concrete

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Journal of Renewable Materials 2024年第1期12卷 167-186页

作者： Ismail Shah Jing Li Nauman Khan Hamad R.Almujibah Muhammad Mudassar Rehman ali raza Yun Peng School of Architecture and Civil Engineering Yunnan Agricultural UniversityKunming650000China Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu610041China Yunnan International Joint R&D Center of Smart Agriculture and Water Security Yunnan Agricultural UniversityKunming650201China School of Water Conservancy Yunnan Agricultural UniversityKunming650201China School of Civil Engineering Guizhou UniversityGuiyang550025China Department of Civil Engineering College of EngineeringTaif UniversityP.O.Box 11099Taif City21974Saudi Arabia School of Civil Engineering Zhengzhou UniversityZhengzhou450001China

Recycled steel fiber reinforced concrete is an innovative construction material that offers exceptional mechanical properties and *** is considered a sustainable material due to its low carbon footprint and environmental friendly *** study examines the key influencing factors that affect the behavior of this material,such as the steel fiber volume ratio,recycled aggregate replacement rate,concrete strength grade,anchorage length,and stirrup *** study investigates the bond failure morphology,bond-slip,and bond strength constitutive relationship of steel fiber recycled *** results show that the addition of steel fibers at 0.5%,1.0%,and 1.5%volume ratios can improve the ultimate bond strength of pull-out specimens by 9.05%,6.94%,and 5.52%,*** replacement rate of recycled aggregate has minimal effect on the typical bond strength of pull-out ***,the ultimate bond strengths of pull-out specimens with concrete strength grades C45 and C60 have improved compared to those with C30 *** specimens with longer anchorage lengths exhibit lower ultimate bond strength,with a reduction of 33.19%and 46.37%for anchorage lengths of 5D and 7D,respectively,compared to those without *** restraint of 1φ8 and 2φ8 improves the ultimate bond strength by 5.29%and 6.90%,*** fibers have a significant effect on the behavior of concrete after it cracks,especially during the stable expansion stage,crack instability expansion stage,and failure stage.

关键词： Recycled coarse aggregates(RCA) steel fiber bonding performance bond-slip environmental challenges

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Genome-wide identification and expression profiling of photosystem II(PsbX)gene family in upland cotton(Gossypium hirsutum L.)

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Journal of Cotton Research 2024年第1期7卷 1-14页

作者： raza Irum PARVEEN Abida AHMAD Adeel HU Daowu PAN Zhaoe ali Imran DU Xiongming Institute of Cotton Research Chinese Academy of Agricultural SciencesNational Key Laboratory of Cotton Bio-Breeding and Integrated UtilizationAnyangHenan 455000China Department of Biotechnology and Genetic Engineering Kohat University of Science and TechnologyKohatPakistan Department of Botany Kohat University of Science and TechnologyKohatPakistan.

Background Photosystem II(PSII)constitutes an intricate assembly of protein pigments,featuring extrinsic and intrinsic polypeptides within the photosynthetic *** low-molecular-weight transmembrane protein PsbX has been identified in PSII,which is associated with the oxygen-evolving *** expression of PsbX gene protein is regulated by ***’s central role involves the regulation of PSII,facilitating the binding of quinone molecules to the Qb(PsbA)site,and it additionally plays a crucial role in optimizing the efficiency of *** these insights,a comprehensive understanding of the PsbX gene’s functions has remained *** In this study,we identified ten PsbX genes in Gossypium hirsutum *** phylogenetic analysis results showed that 40 genes from nine species were classified into one *** resulting sequence logos exhibited substantial conservation across the N and C terminals at multiple sites among all Gossypium ***,the ortholo-gous/paralogous,Ka/Ks ratio revealed that cotton PsbX genes subjected to positive as well as purifying selection pressure might lead to limited divergence,which resulted in the whole genome and segmental *** expression patterns of GhPsbX genes exhibited variations across specific tissues,as indicated by the ***,the expression of GhPsbX genes could potentially be regulated in response to salt,intense light,and drought ***,GhPsbX genes may play a significant role in the modulation of photosynthesis under adverse abiotic *** We examined the structure and function of PsbX gene family very first by using comparative genom-ics and systems biology approaches in *** seems that PsbX gene family plays a vital role during the growth and development of cotton under stress ***,the results of this study provide basic information to unveil the molecular and physiological function of PsbX genes of cotton plan

关键词： Photosystem Phylogenetic Synteny RNA seq Gene expression Orthologous

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Fabrication of MXene-Bi_(2)WO_(6)heterojunction by Bi_(2)Ti_(2)O_(7)hinge for extraordinary LED-light-driven photocatalytic performance

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Nano Research 2024年第6期17卷 4729-4736页

作者： Zhiwen Li Liangliang Xu Zaheer Ud Din Babar ali raza Yifei Zhang Xinrui Gu Yu-Xin Miao Zhen Zhao Gao Li Institute of Catalysis for Energy and Environment College of Chemistry and Chemical EngineeringShenyang Normal UniversityShenyang 110034China State Key Laboratory of Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China Scuola Superiore Meridionale(SSM) University of Naples Federico IILargo S.Marcellino1080138Italy Department of Chemical and Biomolecular Engineering Korea Advanced Institute of Science and Technology(KAIST)Daejeon 34141Republic of Korea University of Chinese Academy of Sciences Beijing 100049China

Heterojunction composites with intimate interfaces can shorten the diffusion distance,which leads to a shorter path for photogenerated carriers,thereby increasing photocatalytic ***,we report the fabrication of Ti_(3)C_(2)-Bi_(2)WO_(6)(TC-BW)heterojunctions hinged by Bi_(2)Ti_(2)O_(7)joints via an in situ hydrothermal reaction of Ti_(3)C_(2)in the presence of Na_(2)WO_(4)and Bi(NO_(3))_(3).The TC-BW was characterized using X-ray diffraction(XRD),scanning transmission electron microscopy(STEM),and Raman ***-BW showed superior photocatalytic activity(productivity over 15TC-WB reaches up to 5.0 mmolreacted BA·gcat.^(−1)·h^(−1))in the oxidation of benzyl alcohol using light-emitting diode(LED)light,arising from the surface defects and intimate heterojunction interface between the Ti_(3)C_(2)MXene and Bi_(2)WO_(6)***-BW heterojunctions provide an enhanced separation efficiency of photogenerated charges,which in turn yields superior photocatalytic ***,it is well substantiated by density functional theory(DFT)*** summary,this study elucidates the preparation of heterojunction composites with intimate interfaces for highly efficient photooxidation.

关键词： MXene-Bi_(2)WO_(6) heterojunction LED-light-driven photocatalysis Bi_(2)Ti_(2)O_(7) photooxidation

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Trehalose:A sugar molecule involved in temperature stress management in plants

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The Crop Journal 2024年第1期12卷 1-16页

作者： ali raza Savita Bhardwaj Md Atikur Rahman Pedro García-Caparrós Madiha Habib Faisal Saeed Sidra Charagh Christine H.Foyer Kadambot H.M.Siddique Rajeev K.Varshney College of Agriculture Fujian Agriculture and Forestry University(FAFU)Fuzhou 350002FujianChina Department of Botany School of Bioengineering and BiosciencesLovely Professional UniversityPhagwara 144411India Department of Botany MCM DAV CollegeKangraHimachal Pradesh 176001India Grassland and Forage Division National Institute of Animal ScienceRural Development AdministrationCheonan 31000Republic of Korea Agronomy Department of Superior School Engineering University of AlmeríaAlmeríaSpain National Institute for Genomics and Advanced Biotechnology National Agricultural Research CentrePark Rd.Islamabad 45500Pakistan Agriculture Health and Environment DepartmentNatural Resources InstituteFaculty of Engineering&ScienceUniversity of GreenwichKent ME44TBUK State Key Laboratory of Rice Biology China National Rice Research InstituteChinese Academy of Agricultural SciencesHangzhouZhejiangChina School of Biosciences College of Life and Environmental SciencesUniversity of BirminghamEdgbaston B152TTUK The UWA Institute of Agriculture The University of Western AustraliaCrawleyPerth 6009Australia WA State Agricultural Biotechnology Centre Centre for Crop and Food InnovationFood Futures InstituteMurdoch UniversityMurdochWA 6150Australia

Trehalose(Tre)is a non-reducing disaccharide found in many species,including bacteria,fungi,invertebrates,yeast,and even plants,where it acts as an osmoprotectant,energy source,or protein/membrane *** relatively small amounts in plants,Tre concentrations increase following exposure to abiotic ***-6-phosphate,a precursor of Tre,has regulatory functions in sugar metabolism,crop production,and stress *** the various abiotic stresses,temperature extremes(heat or cold stress)are anticipated to impact crop production worldwide due to ongoing climate *** small amounts of Tre can mitigate negative physiological,metabolic,and molecular responses triggered by temperature *** also interacts with other sugars,osmoprotectants,amino acids,and phytohormones to regulate metabolic reprogramming that underpins temperature stress *** plants expressing Tre-synthesis genes accumulate Tre and show improved stress ***-wide studies of Tre-encoding genes suggest roles in plant growth,development,and stress *** review discusses the functions of Tre in mitigating temperature stress—highlighting genetic engineering approaches to modify Tre metabolism,crosstalk,and interactions with other molecules—and in-silico approaches for identifying novel Tre-encoding genes in diverse plant *** consider how this knowledge can be used to develop temperature-resilient crops essential for sustainable agriculture.

关键词： Abiotic stress Gene expression Genetic engineering Osmolyte Trehalose-6-phosphate

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Intrusion Detection System for Smart Industrial Environments with Ensemble Feature Selection and Deep Convolutional Neural Networks

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Intelligent Automation & Soft Computing 2024年第3期39卷 545-566页

作者： Asad raza Shahzad Memon Muhammad ali Nizamani Mahmood Hussain Shah Dr.AHS Bukhari Postgraduate Centre of Information and Communication Technology Faculty of Engineering and TechnologyUniversity of SindhJamshoro76060Pakistan Newcastle Business School Northumbria UniversityNewcastleNE1UK

Smart Industrial environments use the Industrial Internet of Things(IIoT)for their routine operations and transform their industrial operations with intelligent and driven ***,IIoT devices are vulnerable to cyber threats and exploits due to their connectivity with the *** signature-based IDS are effective in detecting known attacks,but they are unable to detect unknown emerging ***,there is the need for an IDS which can learn from data and detect new *** Machine Learning(ML)and individual Deep Learning(DL)based IDS have been developed,and these individual models achieved low accuracy;however,their performance can be improved with the ensemble stacking *** this paper,we have proposed a Deep Stacked Neural Network(DSNN)based IDS,which consists of two stacked Convolutional Neural Network(CNN)models as base learners and Extreme Gradient Boosting(XGB)as the meta *** proposed DSNN model was trained and evaluated with the next-generation dataset,TON_*** pre-processing techniques were applied to prepare a dataset for the model,including ensemble feature selection and the SMOTE ***,precision,recall,F1-score,and false positive rates were used to evaluate the performance of the proposed ensemble *** experimental results showed that the accuracy for binary classification is 99.61%,which is better than in the baseline individual DL and ML *** addition,the model proposed for IDS has been compared with similar *** proposed DSNN achieved better performance metrics than the other *** proposed DSNN model will be used to develop enhanced IDS for threat mitigation in smart industrial environments.

关键词： Industrial internet of things smart industrial environment cyber-attacks convolutional neural network ensemble learning

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Infectious causes of fever of unknown origin in developing countries: An international ID-IRI study

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Journal of Intensive Medicine 2024年第1期4卷 94-100页

作者： Hakan Erdem Jaffar AAl-Tawfiq Maha Abid Wissal Ben Yahia George Akafity Manar Ezzelarab Ramadan Fatma Amer Amani El-Kholy Atousa Hakamifard Bilal Ahmad Rahimi Farouq Dayyab Hulya Caskurlu Reham Khedr Muhammad Tahir Lysien Zambrano Mumtaz ali Khan Aun raza Nagwa Mostafa El-Sayed Magdalena Baymakova Aysun Yalci Yasemin Cag Umran Elbahr Aamer Ikram Department of Infectious Diseases&Clinical Microbiology Gulhane School of MedicineTurkish Health Sciences UniversityAnkaraTurkey Specialty Internal Medicine and Quality and Patient Safety Department Johns Hopkins Aramco HealthcareDhahranSaudi Arabia Division of Infectious Diseases Indiana University School of MedicineIndianapolisINUSA Department of Infectious Diseases Farhat Hached University HospitalIbn El Jazzar Medical SchoolUniversity of SousseSousseTunisia Internal Medicine Department Farhat Hached University HospitalIbn El Jazzar Medical SchoolUniversity of SousseSousseTunisia Cape Coast Teaching Hospital Cape CoastGhana Medical Parasitology Faculty of MedicineSuez UniversitySuezEgypt Department of Medical Microbiology and Immunology Faculty of MedicineZagazig UniversityZagazigEgypt Department of Clinical Pathology Faculty of MedicineCairo UniversityGizaEgypt Department of Infectious Diseases School of MedicineIsfahan University of Medical SciencesIsfahanIran Department of Infectious Diseases Kandahar University Medical FacultyTeaching HospitalKandaharAfghanistan Department of Infectious Diseases Mohammed Bn Khalifa Bn Salman Alkhalifa Specialist Cardiac CenterAwaliBahrain Department of Infectious Diseases and Clinical Microbiology Faculty of MedicineIstanbul Medeniyet UniversityIstanbulTurkey Department of Pediatric Oncology National Cancer Institute–Cairo UniversityChildren Cancer Hospital EgyptCairoEgypt Department of Medicine Federal General HospitalIslamabadPakistan Institute for Research in Medical Sciences and Right to Health(ICIMEDES) Scientific Research Unit(UIC)Faculty of Medical Sciences(FCM)National Autonomous University of Honduras(UNAH)TegucigalpaHonduras National Institute of Health IslamabadPakistan Shaukat Khanum Memorial Cancer Hospital and Research Center LahorePakistan Medical Parasitology Department Research Institute of OphthalmologyGizaEgypt Department of Infectious Diseases Military Medical AcademySofiaBulgaria Department of Infecti

Background:Fever of unknown origin(FUO)in developing countries is an important dilemma and further research is needed to elucidate the infectious causes of ***:A multi-center study for infectious causes of FUO in lower middle-income countries(LMIC)and lowincome countries(LIC)was conducted between January 1,2018 and January 1,*** total,15 participating centers from seven different countries provided the data,which were collected through the Infectious DiseasesInternational Research Initiative *** adult patients with confirmed infection as the cause of FUO were included in the *** severity parameters were quick Sequential Organ Failure Assessment(qSOFA)≥2,intensive care unit(ICU)admission,vasopressor use,and invasive mechanical ventilation(IMV).Results:A total of 160 patients with infectious FUO were included in the ***,148(92.5%)patients had community-acquired infections and 12(7.5%)had hospital-acquired *** most common infectious syndromes were tuberculosis(TB)(n=27,16.9%),infective endocarditis(n=25,15.6%),malaria(n=21,13.1%),brucellosis(n=15,9.4%),and typhoid fever(n=9,5.6%).Plasmodium falciparum,Mycobacterium tuberculosis,Brucellae,Staphylococcus aureus,Salmonella typhi,and Rickettsiae were the leading infectious agents in this study.A total of 56(35.0%)cases had invasive procedures for *** mean qSOFA score was 0.76±0.94{median(interquartile range[IQR]):0(0–1)}.ICU admission(n=26,16.2%),vasopressor use(n=14,8.8%),and IMV(n=10,6.3%)were not ***,38(23.8%)patients had at least one of the severity *** mortality rate was 15(9.4%),and the mortality was attributable to the infection causing FUO in 12(7.5%)***:In LMIC and LIC,tuberculosis and cardiac infections were the most severe and the leading infections causing FUO.

关键词： Developing countries Fever of unknown origin Infection

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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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