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Machine learning insights concerning inflammatory and liver-related risk comorbidities in non-communicable and viral diseases

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World Journal of Gastroenterology 2022年第44期28卷 6230-6248页

作者： J Alfredo martínez marta Alonso-Bernáldez diego martínez-urbistondo Juan A Vargas-Nuñez Ana Ramírezde Molina Alberto Dávalos Omar Ramos-Lopez Precision Nutrition and Cardiometabolic Health Madrid Institute of Advanced Studies-Food InstituteMadrid 28049Spain Department of Internal Medicine Hospital Universitario HM SanchinarroMadrid 28050Spain Servicio de Medicina Interna Hospital Universitario Puerta de Hierro MajadahondaMadrid 28222MajadahondaSpain Molecular Oncology and Nutritional Genomics of Cancer Madrid Institute of Advanced Studies-Food InstituteMadrid 28049Spain Laboratory of Epigenetics of Lipid Metabolism Madrid Institute of Advanced Studies-Food InstituteMadrid 28049Spain Medicine and Psychology School Autonomous University of Baja CaliforniaTijuana 22390Baja CaliforniaMexico

The liver is a key organ involved in a wide range of functions,whose damage can lead to chronic liver disease(CLD).CLD accounts for more than two million deaths worldwide,becoming a social and economic burden for most *** the different factors that can cause CLD,alcohol abuse,viruses,drug treatments,and unhealthy dietary patterns top the *** conditions prompt and perpetuate an inflammatory environment and oxidative stress imbalance that favor the development of hepatic *** stages of fibrosis can eventually lead to cirrhosis or hepatocellular carcinoma(HCC).Despite the advances achieved in this field,new approaches are needed for the prevention,diagnosis,treatment,and prognosis of *** this context,the scientific community is using machine learning(ML)algorithms to integrate and process vast amounts of data with unprecedented *** techniques allow the integration of anthropometric,genetic,clinical,biochemical,dietary,lifestyle and omics data,giving new insights to tackle CLD and bringing personalized medicine a step *** review summarizes the investigations where ML techniques have been applied to study new approaches that could be used in inflammatoryrelated,hepatitis viruses-induced,and coronavirus disease 2019-induced liver damage and enlighten the factors involved in CLD development.

关键词： Machine learning Liver inflammation Liver disease Viral diseases Comorbidity

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5DGWO-GAN:A Novel Five-Dimensional Gray Wolf Optimizer for Generative Adversarial Network-Enabled Intrusion Detection in IoT Systems

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Computers, Materials & Continua 2025年第1期82卷 881-911页

作者： Sarvenaz Sadat Khatami Mehrdad Shoeibi Anita Ershadi Oskouei diego martín Maral Keramat Dashliboroun Department of Data Science Engineering University of HoustonHoustonTX 77204USA The WPI Business School Worcester Polytechnic InstituteWorcesterMA 01609USA School of Systems and Enterprises Stevens Institute of TechnologyHobokenNJ 07030USA Department of Computer Science Escuela de Ingeniería Informática de SegoviaUniversidad de ValladolidSegovia40005Spain Ernest G.Welch School of Art&Design Georgia State UniversityAtlantaGA 30303USA

The Internet of Things(IoT)is integral to modern infrastructure,enabling connectivity among a wide range of devices from home automation to industrial control *** the exponential increase in data generated by these interconnected devices,robust anomaly detection mechanisms are *** detection in this dynamic environment necessitates methods that can accurately distinguish between normal and anomalous behavior by learning intricate *** paper presents a novel approach utilizing generative adversarial networks(GANs)for anomaly detection in IoT ***,optimizing GANs involves tuning hyper-parameters such as learning rate,batch size,and optimization algorithms,which can be challenging due to the non-convex nature of GAN loss *** address this,we propose a five-dimensional Gray wolf optimizer(5DGWO)to optimize GAN *** 5DGWO introduces two new types of wolves:gamma(γ)for improved exploitation and convergence,and theta(θ)for enhanced exploration and escaping local *** proposed system framework comprises four key stages:1)preprocessing,2)generative model training,3)autoencoder(AE)training,and 4)predictive model *** generative models are utilized to assist the AE training,and the final predictive models(including convolutional neural network(CNN),deep belief network(DBN),recurrent neural network(RNN),random forest(RF),and extreme gradient boosting(XGBoost))are trained using the generated data and AE-encoded *** evaluated the system on three benchmark datasets:NSL-KDD,UNSW-NB15,and *** conducted on diverse IoT datasets show that our method outperforms existing anomaly detection strategies and significantly reduces false *** 5DGWO-GAN-CNNAE exhibits superior performance in various metrics,including accuracy,recall,precision,root mean square error(RMSE),and convergence *** proposed 5DGWO-GAN-CNNAE achieved the lowest RMSE values across the NSL-KDD,UNSW-NB15,and

关键词： Internet of things intrusion detection generative adversarial networks five-dimensional binary gray wolf optimizer deep learning

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Amyloid-beta pathology-induced nanoscale synaptic disruption:the case of the GABA_B-GIRK assembly

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Neural Regeneration Research 2025年第5期20卷 1409-1410页

作者： Rafael Lujan Alejandro martín-Belmonte Sergi Ferré Francisco Ciruela Synaptic Structure Laboratory Instituto de Biomedicina de la UCLM(IB-UCLM)Departamento de Ciencias MédicasInstituto de Investigación en Salud de Castilla-La Mancha(IDISCAM)Facultad de MedicinaUniversidad Castilla-La ManchaCampus BiosanitarioC/AlmansaAlbaceteSpain Integrative Neurobiology Section National Institute on Drug AbuseIntramural Research ProgramNational Institutes of HealthBaltimoreMDUSA Pharmacology Unit Department of Pathology and Experimental TherapeuticsSchool of Medicine and Health SciencesInstitute of NeurosciencesUniversity of BarcelonaNeuropharmacology&Pain GroupNeuroscience ProgramBellvitge Institute for Biomedical ResearchL’Hospitalet de LlobregatSpain

Alzheimer's disease (AD) is characterized by an imbalance between excitatory and inhibitory brain networks,leading to aberrant homeostatic synaptic *** has progressively been recognized as syna ptopathy and syna ptic dysfunction has been identified as a key component of its pathogenesis (Schirinzi et al.,2020).Syna ptic dysfunction is believed to precede synapse loss,a primary biological correlate of cognitive decline in AD,inevita bly associated with neuronal death.

关键词： Alzheimer pathology

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Insights into induction of the immune response by the hepatitis B vaccine

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World Journal of Gastroenterology 2022年第31期28卷 4249-4262页

作者： Federico Alejandro Di Lello Alfredo Pedro martínez diego martín Flichman Microbiology Universidad de Buenos Aires.Facultad de Farmacia y Bioquímica.Instituto de Investigaciones en Bacteriología y Virología MolecularBuenos Aires C1113AADArgentina Consejo Nacional de Investigaciones Científicas y Técnicas Buenos Aires C1425FQBArgentina Virology Section Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno“CEMIC”Buenos Aires C1431FWOArgentina Microbiology Universidad de Buenos AiresInstituto de Investigaciones Biomédicas en Retrovirus y Síndrome de Inmunodeficiencia AdquiridaBuenos Aires C1121ABGArgentina

After more than four decades of hepatitis B virus(HBV)vaccine implementation,its safety and efficacy in preventing HBV infection have been proven and several milestones have been *** countries have included HBV immunization schedules in their health policies and progress has been made regarding universalization of the first HBV vaccine dose at *** of these actions have significantly contributed to reducing both the incidence of HBV infection and its related ***,there are still many drawbacks to *** main concerns are the deficient coverage rate of the dose at birth and the large adult population that has not been reached timely by universal ***,the current most widely used second-generation vaccines do not induce protective immunity in 5%to 10%of the population,particularly in people over 40-years-old,obese(body mass index>25 kg/m2),heavy smokers,and patients undergoing dialysis or infection with human immunodeficiency *** developed and approved novel vaccine formulations using more potent adjuvants or multiple antigens have shown better performance,particularly in difficult *** advances re-launch the expectations of achieving the World Health Organization’s objective of completing hepatitis control by 2030.

关键词： Hepatitis B virus Vaccine Immune response Antibodies Neutralizing

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Large-Scale Group Decision Making:A Systematic Review and a Critical Analysis

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IEEE/CAA Journal of Automatica Sinica 2022年第6期9卷 949-966页

作者： diego García-Zamora Alvaro Labella Weiping Ding Rosa M.Rodríguez Luis martínez Department of Computer Science University of JaénJaén 23071Spain IEEE School of Information Science and Technology Nantong UniversityNantong 226019China

The society in the digital transformation era demands new decision schemes such as e-democracy or based on social *** novel decision schemes require the participation of many experts/decision makers/stakeholders in the decision *** a result,large-scale group decision making(LSGDM)has attracted the attention of many researchers in the last decade and many studies have been conducted in order to face the challenges associated with the ***,this paper aims at reviewing the most relevant studies about LSGDM,identifying the most profitable research trends and analyzing them from a critical point of *** do so,the Web of Science database has been consulted by using different *** these results a total of 241 contributions were found and a selection process regarding language,type of contribution and actual relation with the studied topic was then carried *** 87 contributions finally selected for this review have been analyzed from four points of view that have been highly remarked in the topic,such as the preference structure in which decision-makers’opinions are modeled,the group decision rules used to define the decision making process,the techniques applied to verify the quality of these models and their applications to real world problems ***,a critical analysis of the main limitations of the existing proposals is ***,taking into account these limitations,new research lines for LSGDM are proposed and the main challenges are stressed out.

关键词： Challenges large-scale consensus models large-scale group decision making(LSGDM) systematic review

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Soil and vegetation water content identify the main terrestrial ecosystem changes

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National Science Review 2023年第5期10卷 167-179页

作者： diego Bueso Maria Piles Philippe Ciais Jean-Pierre Wigneron álvaro Moreno-martínez Gustau Camps-Valls Image Processing Laboratory Universitat de València Laboratoire des Sciences du Climat et de l'Environnement Université Paris Saclay INRA Centre de Bordeaux Aquitaine Image Processing Laboratory Universitat deValència

Environmental change is a consequence of many interrelated *** vegetation responds to natural and human activity still needs to be well establishe d,quantified and *** cent satellite missions providing hydrologic and ecological indicators enable better monitoring of Earth system changes,yet there is no automatic way to address this issue directly from ***,we develop an observation-based methodology to capture evidence of changes in global terrestrial ecosystems and attribute these changes to natural or anthropogenic *** use the longest time record of global microwave L-band soil moisture and vegetation optical depth as satellite data and build spatially explicit maps of change in soil and vegetation water content and biomass reflecting large ecosystem changes during the last decade,*** of prominent trends(from-8% to 9% per year) are observed,especially in humid and semi-arid *** further combine such trends with land cover change maps,vegetation greenness and precipitation variability to assess their relationship with major documented ecosystem *** regions emerge from our *** cluster changes according to human activity drivers,including deforestation(Amazon,Central Africa) and wildfires(East Australia),artificial reforestation(South-East China),abandonment of farm fields(Central Russia) and climate shifts related to changes in precipitation variability(East Africa,North America and Central Argentina).Using the high sensitivity of soil and vegetation water content to ecosystem changes,microwave satellite observations enable us to quantify and attribute global vegetation responses to climate or anthropogenic activities as a direct measure of environmental changes and the mechanisms driving them.

关键词： soil moisture vegetation water content ecosystem trend remote sensing soil moisture and ocean salinity satellite

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Neural Regeneration Research 2021年第1期16卷 123-124页

作者： Carlos Bueno Salvador martínez Instituto de Neurociencias de Alicante(UMH-CSIC) San JuanAlicanteSpain

Human neurological disorders and spinal cord injuries are caused by a loss of neurons and glial cells in the brain or spinal *** proof-ofprinciple of cell therapy is that replacing damaged cells with new healthy ones will restore the lost *** and manipulating autologous neural stem cells(NSCs)could provide an ideal source of cells for use in cell replacement and the transfer of genes to a diseased central nervous *** are immature cells present,not only during embryonic development,but also in the adult brain of all mammalian species,including *** presence of NSCs in the adult mammalian brain has been described in two neurogenic niches,the ventricular-subventricular zone(V-SVZ)of the anterolateral ventricle wall and the subgranular zone of the hippocampal dentate ***,NSCs are defined as self-renewing multipotent cells that can generate neurons,astrocytes and *** major barrier to isolating adult NSCs in humans is the inaccessibility of living *** this reason,an enormous effort has been made to derive neurons from human adult stem cells isolated from various tissue sources.

关键词： injuries ventricular adult

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Tongluo Jiedu as an adjuvant therapy for oral cancer

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World Journal of Clinical Cases 2025年第5期13卷 52-57页

作者： Sarah Monserrat Lomelímartínez Melissa martínez Nieto Ana Esther Mercado González Department of Medical and Life Sciences Centro Universitario de la CiénegaUniversidad de GuadalajaraOcotlán 47810Mexico Department of Well-being and Sustainable Development Centro Universitario del NorteUniversidad de GuadalajaraColotlan 46200Mexico Independent Researcher Guadalajara 44340Mexico Antiguo Hospital Civil de Guadalajara“Fray Antonio Alcalde” Universidad de GuadalajaraGuadalajara 44280Mexico

Oral cancer is one of the malignant neoplasms that present major global health *** is the sixth most prevalent type of cancer in the world,with a high incidence and mortality *** letter is a review of the study by Yin et al which was published in the World Journal of Clinical Cases(2024).The study evaluated the effect of Tongluo Jiedu as an adjuvant treatment for oral *** the years,there has been a continuous search for effective and less invasive treatments for oral *** article emphasizes and discusses various therapeutic options currently available,and it highlights that early intervention and multidisciplinary management are crucial for improving *** Chinese medicine,particularly Tongluo Jiedu,presents potential complementary approach to co-nventional oral cancer *** research on Tongluo Jiedu should be focused on validation of its efficacy and safety through large,well-designed clinical trials,as well as better understanding of the molecular mechanisms in-volved,and optimization of therapeutic ***,continuous education of health professionals is key to the effective and safe integration of this traditional medicine into clinical *** research is essential for optimization of therapeutic strategies and for addressing the challenges presented by this neoplasm.

关键词： Oral cancer Tongluo Jiedu Traditional Chinese medicine Chinese herbal medicine Herbal drugs Dentistry

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Proteomic profile of human monocytic cells infected with dengue virus

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Asian Pacific Journal of Tropical Biomedicine 2016年第11期6卷 914-923页

作者： Viviana martínez-Betancur Marleín martínez-Gutierrez Programa de Estudio y Control de Enfermedades Tropicales-PECET Universidad de Antioquia Grupo de Investigación en Ciencias Animales-GRICA Facultad de Medicina Veterinaria y Zootecnia Universidad Cooperativa de Colombia

Objective: To identify the changes in the proteome of U937 cells infected with dengue virus(DENV).Methods: In this study, differentiated U937 cultures were infected with two DENV-2strains, one of which was associated with dengue(DENV-2/NG) and the other one with severe dengue(DENV-2/16681), with the aim of determining the cellular proteomic profiles under different infection conditions. Cellular proteins were extracted and separated by two-dimensional electrophoresis, and those proteins with differential expression profiles were identified by mass spectrometry. The obtained results were correlated with cellular viability, the number of infectious viral particles, and the viral DNA/protein ***: In comparison with non-infected cultures, in the cells infected with the DENV-2/NG strain, nine proteins were expressed differentially(five were upregulated and four were downregulated); in those cultures infected with the DENV-2/16681 strain, six proteins were differentially expressed(two were downregulated and four were upregulated). The downregulated proteins included fatty acid-binding protein, heterogeneous nuclear ribonucleoprotein 1, protein disulfide isomerase, enolase 1, heat shock 70 k Da protein 9, phosphotyrosyl phosphatase, and annexin IV. The upregulated proteins included heat shock 90 k Da protein AA1, tubulin beta, enolase 1, pyruvate kinase,transaldolase and phospholipase ***: Because the monocyte/macrophage lineage is critical for disease pathogenicity, additional studies on these proteins could provide a better understanding of the cellular response to DENV infection and could help identify new therapeutic targets against infection.

关键词： Dengue virus Proteomic Macrophages Monocytes U937 cells

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Adaptive phase field modelling of crack propagation in orthotropic functionally graded materials

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Defence Technology（防务技术） 2021年第1期17卷 185-195页

作者： Hirshikesh Emilio martínez-Paneda Sundararajan Natarajan Department of Mechanical Engineering Indian Institute of Technology MadrasChennai600036India Department of Civil and Environmental Engineering Imperial College LondonLondonSW72AZUK

In this work,we extend the recently proposed adaptive phase field method to model fracture in orthotropic functionally graded materials(FGMs).A recovery type error indicator combined with quadtree decomposition is employed for adaptive mesh *** proposed approach is capable of capturing the fracture process with a localized mesh refinement that provides notable gains in computational *** implementation is validated against experimental data and other numerical experiments on orthotropic materials with different material *** results reveal an increase in the stiffness and the maximum force with increasing material orientation *** study is then extended to the analysis of orthotropic *** is observed that,if the gradation in fracture properties is neglected,the material gradient plays a secondary role,with the fracture behaviour being dominated by the orthotropy of the ***,when the toughness increases along the crack propagation path,a substantial gain in fracture resistance is observed.

关键词： Functionally graded materials Phase field fracture Polygonal finite element method Orthotropic materials Recovery based error indicator

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