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

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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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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Distribution of Malpighia mexicana in Mexico and its implications for Barranca del Río Santiago

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Journal of Forestry Research 2021年第3期32卷 1095-1103页

作者： martín Tena Meza Rafael Manavarro-Cerrillo diego Brizuela Torres Instituto de Botánica Centro Universitario de Ciencias Biológicas y AgropecuariasUniversidad de GuadalajaraMéxicoCamino Ramón Padilla Sánchez No.2100.Nextipac45200 ZapopanJaliscoMexico Depto.Ingeniería Forestal Laboratorio de SelviculturaDendrocronología y Cambio ClimáticoDendrodatLab-ERSAFUniversidad de CórdobaCampus de RabanalesCtra.N-IVkm.39614071 CórdobaSpain Departamento de Producción Forestal Centro Universitario de CienciasBiológicas y AgropecuariasUniversidad de GuadalajaraMéxicoCamino Ramón Padilla Sánchez No.2100 Nextipac45200 ZapopanJaliscoMexico

Wild plants represent relatively unexplored resource of high economic potential,especially as an alternative to developing new crops and,even more relevant,for improving existing crops and contributing to nutrition and *** wild species M alpighia mexicana(manzanita)has a wide tradition of food,medicinal and ornamental use in *** is part of the American-origin group of tropical shrubs that produce edible red fruits,such as A cerola,which is considered the most important natural source of vitamin C in the *** the role played by *** in Mexico,and particularly in Barranca del Río Santiago(Santiago River Canyon),we modelled its potential distribution in both geographical *** used species'records from databases,local herbaria and records collected by the authors as well as climatic variables representing long term average,variability and extreme conditions of temperature and *** fit the models we used the modelling algorithm Maxent and selected an adequate configuration by testing a range of model complexity *** results indicate a clear species preference for warm-dry tropical forest,most extensively in the Balsas river depression and the central valleys of *** probability of the species presence in the western region was also high,although the probability was also high for smaller surface areas,such as the region of Santiago river canyons,which are covered by warm-dry tropical forests.

关键词： Malpighia mexicana Maxent Warmdry tropical forest Río Santiago Genetic resources Ecological niche model Manzanita

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MCRO-PUF:A novel Modified Crossover RO-PUF with an Ultra-Expanded CRP Space

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Computers, Materials & Continua 2023年第3期74卷 4831-4845页

作者： Hassan Rabiei Masoud Kaveh Mohammad Reza Mosavi diego martín Department of Electrical Engineering Iran University of Science and TechnologyTehran13114-16846Iran Department of Communication and networking Aalto UniversityEspoo00076Finland ETSI de Telecomunicación Universidad Politécnica de MadridAv.Complutense 30Madrid28040Spain

With the expanding use of the Internet of Things(IoT)devices and the connection of humans and devices to the Internet,the need to provide security in this field is constantly *** conventional cryptographic solutions need the IoT device to store secret keys in its non-volatile memory(nVM)leading the system to be vulnerable to physical *** addition,they are not appropriate for IoT applications due to their complex ***,physically unclonable functions(PUFs)have been introduced to simultaneously address these *** are lightweight and easy-toaccess hardware security primitives which employ the unique characteristics of integrated circuits(ICs)to generate secret *** all proposed PUFs,ring oscillator PUF(RO-PUF)has had amore suitable structure for hardware implementation because of its high reliability and easier providing of circuital ***,RO-PUF has not been so attractive for authentication purposes due to its limited supported challenge-response pairs(CRPs).A few efforts have been made in recent years that could successfully improve the RO-PUF CRP space,such as configurable RO-PUF(CRO-PUF).In this paper,by considerably improving the CRO-PUF structure and adding spare paths,we propose a novel strong RO-PUF structure that exponentially grows the CRP space and dramatically reduces the hardware *** implement our design on a simple and low-cost FPGA chip named XC6SLX9-2tqg144,stating that the proposed design can be used in IoT *** addition,to improve the CRP space,our design creates a suitable improvement in different security/performance terms of the generated responses,and dramatically outperforms the *** average reliability,uniqueness,and uniformity of the responses generated are 99.55%,48.49%,and 50.99%,respectively.

关键词： RO-PUF CRP space configurable design

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Adipose-derived mesenchymal stem/stromal cells:from the lab bench to the basic concepts for clinical translation

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BIOCELL 2018年第3期42卷 67-77页

作者： Yesica Romina FROnTInI-LóPEZ Aldana Daniela GOJAnOVICH diego MASOnE diego martín BUSTOS Marina UHART Laboratorio de Integración de Señles Celulares.IHEM-COnICET Universidad Nacional de Cuyo MendozaArgentina Facultad de Ingeniería Universidad Nacional de CuyoMendozaArgentina Facultad de Ciencias Exactas y naturales Universidad Nacional de CuyoMendozaArgentina

In the last years,much work has shown that the most effective repair system of the body is represented by stem cells,which are defined as undifferentiated precursors that own unlimited or prolonged self-renewal ability,which also have the potential to transform themselves into various cell types through *** tissues that form the body contain many different types of somatic cells,along with stem cells that are called‘mesenchymal stem(or stromal)cells’(MSC).In certain circumstances,some of these MSC migrate to injured tissues to replace dead cells or to undergo differentiation to repair *** discovery of MSC has been an important step in regenerative medicine because of their high ***,the finding of a method to isolate MSC from adipose tissue,so called‘adipose-derived mesenchymal stem cells’(ASC),which share similar differentiation capabilities and isolation yield that is greater than other MSC,and less bioethical concerns compared to embryonic stem cells,have created self-praised publicity to procure almost any treatment with ***,we review the current techniques for isolation,culture and differentiation of human ASC(hASC),and describe them in *** also compile some advantages of the hASC over other stem cells,and provide some concepts that could help finding strategies to promote their therapeutic efficiency.

关键词： hASC Tissue regeneration Cell therapy

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Children with obesity have poorer circadian health as assessed by a global circadian health score

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World Journal of Pediatrics 2024年第8期20卷 787-800页

作者： María Rodríguez-martín nuria martínez-Lozano Vicente Santaclara-Maneiro Antonio Gris-Peñas diego Salmerón Rafael Ríos Asta Tvarijonaviciute marta Garaulet Department of Physiology Regional Campus of International ExcellenceUniversity of Murcia30100MurciaCPSpain Biomedical Research Instituteof Murcia IMIB-Arrixaca-UMUUniversity Clinical Hospital30120MurciaSpain Health Area of Lorca LorcaMurciaSpain Health and Social Sciences Department University ofMurciaMurciaSpain Consortium for Biomedical Research in Epidemiology and Public Health MadridSpain Interdisciplinary Laboratory of Clinical Analysis(Interlab-UMU) University of MurciaMurciaSpain Division of Sleep and Circadian Disorders Brigham and Women's Hospital(BWH)and Division of Sleep MedicineHarvard Medical SchoolBostonMA 02115USA

Background Circadian health refers to individuals’well-being and balance in terms of their circadian *** is influenced by external *** adults,a close relationship between circadian-related alterations and obesity has been ***,studies in children are scarce,and circadian health and its association with obesity have not been evaluated *** aimed to assess whether circadian health differed between children with and without obesity as determined by a global circadian score(GCS)in a school-age *** Four hundred and thirty-two children(7–12 years)were recruited in ***-invasive tools were used to calculate the GCS:(1)7-day rhythm of wrist temperature(T),activity(A),position(P),an integrative variable that combines T,A,and P(TAP);(2)cortisol;and(3)7-day food and sleep *** mass index,body fat percentage,waist circumference(WC),melatonin concentration,and cardiometabolic marker levels were *** Circadian health,as assessed by the GCS,differed among children with obesity,overweight,and normal weight,with poorer circadian health among children with *** with obesity and abdominal obesity had 3.54 and 2.39 greater odds of having poor circadian health,respectively,than did those with normal weight or low *** percentage of rhythmicity,a marker of the robustness of the TAP rhythm,and the amplitude,both components of the GCS,decreased with increasing *** lifestyle behaviors were involved in the association between circadian health and obesity,particularly protein intake(P=0.024),physical activity level(P=0.076)and chronotype(P=0.029).Conclusions The GCS can capture the relationship between circadian health and obesity in school-age *** intake,physical activity level,and chronotype were involved in this *** intervention based on improving circadian health may help to prevent childhood obesity.

关键词： Children Chronodisruption Circadian Lifestyle Obesity

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Plant cell wall-mediated disease resistance:Current understanding and future perspectives

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Molecular Plant 2024年第5期17卷 699-724页

作者： Antonio Molina Lucıa Jorda Miguel Angel Torres Marina martın-Dacal diego Jose Berlanga Patricia Fernandez-Calvo Elena Gomez-Rubio Sonsoles martın-Santamarıa Centro de Biotecnología y Genómica de Plantas Universidad Politécnica de Madrid(UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria(INIA/CSIC)Campus de Montegancedo UPMPozuelo de Alarcon(Madrid)Spain Departamento de Biotecnologıa-Biología Vegetal Escuela Técnica Superior de Ingenierıa AgronomicaAlimentarıa y de BiosistemasUPMMadridSpain Centro de Investigaciones Biologicas Margarita Salas Consejo Superior de Investigaciones Científicas(CSIC)Ramiro de Maeztu 928040 MadridSpain Misión Biológica de Galicia Consejo Superior de Investigaciones Científicas(CSIC)Campus de Montegancedo UPMPozuelo de Alarcón(Madrid)Spain

Beyond their function as structural barriers,plant cell walls are essential elements for the adaptation of plants to environmental *** walls are dynamic structures whose composition and integrity can be altered in response to environmental challenges and developmental *** wall changes are perceived by plant sensors/receptors to trigger adaptative responses during development and upon stress *** cell wall damage caused by pathogen infection,wounding,or other stresses leads to the release of wall molecules,such as carbohydrates(glycans),that function as damage-associated molecular patterns(DAMPs).DAMPs are perceived by the extracellular ectodomains(ECDs)of pattern recognition receptors(PRRs)to activate pattern-triggered immunity(PTI)and disease ***,glycans released from the walls and extracellular layers of microorganisms interacting with plants are recognized as microbe-associated molecular patterns(MAMPs)by specific ECD-PRRs triggering PTI *** number of oligosaccharides DAMPs/MAMPs identified that are perceived by plants has increased in recent ***,the structural mechanisms underlying glycan recognition by plant PRRs remain ***,this knowledge is mainly focused on receptors of the LysM-PRR family,which are involved in the perception of various molecules,such as chitooligosaccharides from fungi and lipo-chitooligosaccharides(i.e.,nod/MYC factors from bacteria and mycorrhiza,respectively)that trigger differential physiological ***,additional families of plant PRRs have recently been implicated in oligosaccharide/polysaccharide *** include receptor kinases(RKs)with leucine-rich repeat and Malectin domains in their ECDs(LRR-MAL RKs),Catharanthus roseus RECEPTOR-LIKE KInASE 1-LIKE group(CrRLK1L)with Malectin-like domains in their ECDs,as well as wall-associated kinases,lectin-RKs,and *** characterization of structural basis of glycans recogniti

关键词： Arabidopsis thaliana cell wall damage-associated molecular patterns DAMPs disease resistance glycans oligosaccharides pattern-triggered immunity PTl pattern recognition receptor PRRs

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Enhancing Hyper-Spectral Image Classification with Reinforcement Learning and Advanced Multi-Objective Binary Grey Wolf Optimization

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Computers, Materials & Continua 2024年第6期79卷 3469-3493页

作者： Mehrdad Shoeibi Mohammad Mehdi Sharifi nevisi Reza Salehi diego martín Zahra Halimi Sahba Baniasadi TheWPI Business School Worcester Polytechnic InstituteWorcesterMassachusetts01609-2280USA Department of Industrial Engineering Iran University of Science and TechnologyNarmakTehran16846-13114Iran ETSI de Telecomunicación Universidad Politécnica de MadridAv.Complutense 30Madrid28040Spain Department of Civil and Environmental Engineering University of MarylandCollege ParkMaryland20742USA Department of Industrial Engineering College of EngineeringUniversity of HoustonHoustonTexas77204USA

Hyperspectral(HS)image classification plays a crucial role in numerous areas including remote sensing(RS),agriculture,and the monitoring of the *** band selection in HS images is crucial for improving the efficiency and accuracy of image *** process involves selecting the most informative spectral bands,which leads to a reduction in data *** on these key bands also enhances the accuracy of classification algorithms,as redundant or irrelevant bands,which can introduce noise and lower model performance,are *** this paper,we propose an approach for HS image classification using deep Q learning(DQL)and a novel multi-objective binary grey wolf optimizer(MOBGWO).We investigate the MOBGWO for optimal band selection to further enhance the accuracy of HS image *** the suggested MOBGWO,a new sigmoid function is introduced as a transfer function to modify the wolves’*** primary objective of this classification is to reduce the number of bands while maximizing classification *** evaluate the effectiveness of our approach,we conducted experiments on publicly available HS image datasets,including Pavia University,Washington Mall,and Indian Pines *** compared the performance of our proposed method with several state-of-the-art deep learning(DL)and machine learning(ML)algorithms,including long short-term memory(LSTM),deep neural network(Dnn),recurrent neural network(Rnn),support vector machine(SVM),and random forest(RF).Our experimental results demonstrate that the Hybrid MOBGWO-DQL significantly improves classification accuracy compared to traditional optimization and DL ***-DQL shows greater accuracy in classifying most categories in both datasets *** the Indian Pine dataset,the MOBGWO-DQL architecture achieved a kappa coefficient(KC)of 97.68%and an overall accuracy(OA)of 94.32%.This was accompanied by the lowest root mean square error(RMSE)of 0.94,indicating very precise

关键词： Hyperspectral image classification reinforcement learning multi-objective binary grey wolf optimizer band selection

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Secrecy Outage Probability Minimization in Wireless-Powered Communications Using an Improved Biogeography-Based Optimization-Inspired Recurrent neural network

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Computers, Materials & Continua 2024年第3期78卷 3971-3991页

作者： Mohammad Mehdi Sharifi nevisi Elnaz Bashir diego martín Seyedkian Rezvanjou Farzaneh Shoushtari Ehsan Ghafourian Department of Industrial Engineering Iran University of Science and TechnologyNarmakTehran16846-13114Iran Department of Computer Science Iowa State UniversityAmesIowaIA50011USA ETSI de Telecomunicación Universidad Politécnica de MadridMadrid28040Spain Department of Engineering California State University East BayHaywardCalifornia94542USA Department of Industrial Engineering Bu-Ali Sina UniversityHamedan65178-38695Iran

This paper focuses on wireless-powered communication systems,which are increasingly relevant in the Internet of Things(IoT)due to their ability to extend the operational lifetime of devices with limited *** main contribution of the paper is a novel approach to minimize the secrecy outage probability(SOP)in these *** SOP is crucial for maintaining the confidentiality and integrity of data,especially in situations where the transmission of sensitive data is *** proposed method harnesses the power of an improved biogeography-based optimization(IBBO)to effectively train a recurrent neural network(Rnn).The proposed IBBO introduces an innovative migration *** core advantage of IBBO lies in its adeptness at maintaining equilibrium between exploration and *** is accomplished by integrating tactics such as advancing towards a random habitat,adopting the crossover operator from genetic algorithms(GA),and utilizing the global best(Gbest)operator from particle swarm optimization(PSO)into the IBBO *** IBBO demonstrates its efficacy by enabling the Rnn to optimize the system parameters,resulting in significant outage probability *** comprehensive simulations,we showcase the superiority of the IBBO-Rnn over existing approaches,highlighting its capability to achieve remarkable gains in SOP *** paper compares nine methods for predicting outage probability in wireless-powered *** IBBO-Rnn achieved the highest accuracy rate of 98.92%,showing a significant performance *** contrast,the standard Rnn recorded lower accuracy rates of 91.27%.The IBBO-Rnn maintains lower SOP values across the entire signal-to-noise ratio(SnR)spectrum tested,suggesting that the method is highly effective at optimizing system parameters for improved secrecy even at lower SnRs.

关键词： Wireless-powered communications secrecy outage probability improved biogeography-based optimization recurrent neural network

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