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Task Offloading in Edge Computing Using GNNs and DQN

Computer Modeling in Engineering & Sciences 2024年第6期139卷 2649-2671页

作者： Asier Garmendia-Orbegozo Jose David Nunez-Gonzalez miguel angel Anton Department of Applied Mathematics University of the Basque Country UPV/EHUEibar20600Spain TECNALIA Basque Research and Technology Alliance(BRTA)San Sebastian20009Spain

In a network environment composed of different types of computing centers that can be divided into different layers(clod,edge layer,and others),the interconnection between them offers the possibility of peer-to-peer task offloading.For many resource-constrained devices,the computation of many types of tasks is not feasible because they cannot support such computations as they do not have enough available memory and processing capacity.In this scenario,it is worth considering transferring these tasks to resource-rich platforms,such as Edge Data Centers or remote cloud servers.For different reasons,it is more exciting and appropriate to download various tasks to specific download destinations depending on the properties and state of the environment and the nature of the functions.At the same time,establishing an optimal offloading policy,which ensures that all tasks are executed within the required latency and avoids excessive workload on specific computing centers is not easy.This study presents two alternatives to solve the offloading decision paradigm by introducing two well-known algorithms,Graph Neural Networks(GNN)and Deep Q-Network(DQN).It applies the alternatives on a well-known Edge Computing simulator called PureEdgeSimand compares them with the two defaultmethods,Trade-Off and Round Robin.Experiments showed that variants offer a slight improvement in task success rate and workload distribution.In terms of energy efficiency,they provided similar results.Finally,the success rates of different computing centers are tested,and the lack of capacity of remote cloud servers to respond to applications in real-time is demonstrated.These novel ways of finding a download strategy in a local networking environment are unique as they emulate the state and structure of the environment innovatively,considering the quality of its connections and constant updates.The download score defined in this research is a crucial feature for determining the quality of a download path in the GNN training process and has not previous

关键词： Edge computing edge offloading fog computing task offloading

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Emerging and multifaceted potential contributions of polyphenols in the management of type 2 diabetes mellitus

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World Journal of Diabetes 2024年第2期15卷 154-169页

作者： Ileana González Cristian Lindner Ivan Schneider Erik Diaz miguel angel Morales Armando Rojas Biomedical Research Laboratories Faculty of MedicineCatholic University of MauleTalca 34600000Chile Department of Radiology Faculty of MedicineUniversity of ConcepciónConcepción 4030000Chile Centre of Primary Attention South Metropolitan Health ServiceSantiago 3830000Chile Faculty of Medicine Catholic University of MauleTalca 3460000Chile Molecular and Clinical Pharmacology Program Institute of Biomedical SciencesUniversity of ChileSantiago 8320000Chile

Type 2 diabetes mellitus(T2DM)is recognized as a serious public health concern with a considerable impact on human life,long-term health expenditures,and substantial health losses.In this context,the use of dietary polyphenols to prevent and manage T2DM is widely documented.These dietary compounds exert their beneficial effects through several actions,including the protection of pancreatic islet β-cell,the antioxidant capacities of these molecules,their effects on insulin secretion and actions,the regulation of intestinal microbiota,and their contribution to ameliorate diabetic complications,particularly those of vascular origin.In the present review,we intend to highlight these multifaceted actions and the molecular mechanisms by which these plant-derived secondary metabolites exert their beneficial effects on type 2 diabetes patients.

关键词： Polyphenols Antioxidants Oxidative stress Type 2 diabetes mellitus Health benefits

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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 conditions.Cell walls are dynamic structures whose composition and integrity can be altered in response to environmental challenges and developmental cues.These wall changes are perceived by plant sensors/receptors to trigger adaptative responses during development and upon stress perception.Plant 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 resistance.Similarly,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 responses.The number of oligosaccharides DAMPs/MAMPs identified that are perceived by plants has increased in recent years.However,the structural mechanisms underlying glycan recognition by plant PRRs remain limited.Currently,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 responses.Nevertheless,additional families of plant PRRs have recently been implicated in oligosaccharide/polysaccharide recognition.These 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 LRR-extensins.The characterization of structural basis of glycans recognition by these new plant receptors will shed light

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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Cotton pads-derived carbon materials/reduced graphene oxide modified with polypyrrole for electrode of supercapacitors

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Journal of Energy Chemistry 2024年第7期94卷 41-53页

作者： Ofelia MArias-Pinedo Elvis OLopez Ivonne EMonje RSoria-martinez Antony Bazan-Aguilar Clemente Alfredo Luyo Caycho Gabriel angel Planes angelica Maria Baena-Moncada Laboratorio de Investigacion de Electroquimica Aplicada Facultad de Ciencias de la Universidad Nacional de IngenieriaAv.Tupac Amaru 210RimacLimaPeru Department of Experimental Low Energy Physics Brazilian Center for Research in Physics(CBPF)Rio de Janeiro22290-180Brazi Universidad Tecnologica del Peri Av.Arequipa 26515046 LimaPeru Centeror theevelopmentof Adanced Materials and Nanotechlogy Universidad NacionaldeIngeneria33LimaP Departamento de Quimica Universidad Nacional de Rio CuartoInstituto de Investigaciones en Tecnologias Energeticas y Materiales Avanzados(IITEMA)Ruta Nac.36Km 601(X5804BYA)RioCuartoCordobaArgentina

This study investigates the influence of electropolymerization conditions on the deposition of polypyrrole(PPy)onto cotton-derived carbon fiber(CF)modified with reduced graphene oxide(rGO)for supercapacitors applications using an experimental/theorical approach.The surface modification of CF by rGO and/or by PPy electrodeposited at 10,25 and 50 mV s^(-1) was thoroughly examined physicochemical and electrochemically.Composite electrodes comprising CF-rGo-PPy,synthesized via electropolymerization at 25 mV s^(-1),demonstrated a remarkable increase in capacitance,showcasing~742 F g^(-1) compared to 153 F g^(-1) for CF.SEM,N_(2)-surface area,XPS,and TD-DFT approach revealed that the higher capacitance observed in CF-rGo-PPy electrodes underscores the influence of morphology and charged nitrogen species on the electrochemical performance of these modified electrodes.Notably,this electrode material achieves a specific capacitance retention of~96%of their initial capacitance after 10000 cycles at 0.5 A g^(-1) measured in a two-electrodes cell configuration.This work also discusses the influence of the scan rate used for pyrrole electropolymerization on the pseudocapacitance contribution of PPy and its possible effect on the porosity of the material.These results highlight the importance of appropriate electropolymerization conditions that allow obtaining the synergistic effect between CF,rGO and PPy.

关键词： Supercapacitors Cotton pads-derived carbon fibers rGO PPy TD-DFT

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Comparative study of breast cancer in Mexican and Mexican-American women

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Health 2010年第9期2卷 1040-1048页

作者： Maria Elena martinez Luis Enrique Gutierrez-Millan Melissa Bondy Adrian Daneri-Navarro Maria Mercedes Meza-Montenegro Ivan Anduro-Corona Ma Isabel Aramburo-Rubio Luz Maria Adriana Balderas-Pena Jose Adelfo Barragan-Ruiz Abenaa Brewster Graciela Caire-Juvera Juan Manuel Castro-Cervantes Mario Alberto Chavez Zamudio Giovanna Cruz Alicia Del Toro-Arreola Mary EEdgerton Maria Rosa Flores-Marquez Ramon Antonio Franco-Topete Helga Garcia Susan Andrea Gutierrez-Rubio Karin Hahn Luz Margarita Jimenez-Perez Ian KKomenaka Zoila Areli Lopez Bujanda Dihui Lu Gilberto Morgan-Villela James LMurray Jesse NNodora Antonio Oceguera-Villanueva miguel angel ortiz martinez Laura Perez Michel Antonio Quintero-Ramos Aysegul Sahin Jeong Yun Shim Maureen Stewart Gonzalo Vazquez-Camacho Betsy Wertheim Rachel Zenuk Patricia Thompson Arizona Cancer Center and Mel and Enid Zuckerman College of Public Health University of ArizonaTucsonUSA Departamento de Investigaciones Cientificas y Tecnologicas Universidad de SonoraHermosilloMexico University of Texas M.D.Anderson Cancer Center HoustonUSA Departamento de Fisiologia Centro Universitario de Ciencias de la SaludUniversidad de GuadalajaraGuadalajaraMexico Instituto Tecnologico de Sonora Ciudad ObregónMexico Instituto Mexicano del Seguro Social HermosilloMexico Instituto Mexicano del Seguro Social CMNOGuadalajaraJalisco Centro de Investigacion en Alimentacion y Desarrollo HermosilloMexico Instituto Mexicano del Seguro Social Ciudad ObregonMexico OPD Hospital Civil de Guadalajara GuadalajaraMexico Departamento de Salud Publica Centro Universitario de Ciencias de la SaludUniversidad de GuadalajaraGuadalajaraMexico Maricopa Medical Center Department of SurgeryPhoenixUSA University of North Carolina Lineberger Cancer CenterChapel HillUSA Arizona Cancer Center and Department of Family and Community Medicine University of ArizonaTucsonUSA Instituto Jalisciense de Cancerologia GuadalajaraMexico

Breast cancer is the number one cause of can- cer deaths among Hispanic women in the United States, and in Mexico, it recently became the primary cause of cancer deaths. This malign- nancy represents a poorly understood and un- derstudied disease in Hispanic women. The ELLA Binational Breast Cancer Study was es- tablished in 2006 as a multi-center study to as- sess patterns of breast tumor markers, clinical characteristics, and their risk factors in women of Mexican descent. We describe the design and implementation of the ELLA Study and provide a risk factor comparison between women in the U.S. and those in Mexico based on a sample of 765 patients (364 in the U.S. and 401 in Mexico). Compared to women in Mexico, U.S. women had significantly (p < 0.05) lower parity (3.2 vs. 3.9 mean live births) and breastfeeding rates (57.5% vs. 80.5%), higher use of oral contraceptives (60.7% vs. 50.1%) and hormone replacement therapy (23.3% vs. 7.6%), and higher family history of breast cancer (15.7% vs. 9.0%). Re- sults show that differences in breast cancer risk factor patterns exist between Mexico and U.S. women. We provide lessons learned from the conduct of our study. Binational studies are an important step in understanding disease pat- terns and etiology for women in both countries.

关键词： Binational Study Breast Cancer Hispanics Mexico United States

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Secure and Reliable Routing in the Internet of Vehicles Network:AODV-RL with BHA Attack Defense

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 633-659页

作者： Nadeem Ahmed Khalid Mohammadani Ali Kashif Bashir Marwan Omar angel Jones Fayaz Hassan School of Electronic Science Beijing University of Post and TelecommunicationBeijing100086China Department of Computer Science Huanggang Normal UniversityHuanggangChina Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUK Woxsen School of Business Woxsen UniversityHyderabad502345India Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Information Technology and Management Illinois Institute of TechnologyChicagoUSA College of Computing Capital Technology UniversityLaurelUSA

Wireless technology is transforming the future of transportation through the development of the Internet of Vehicles(IoV).However,intricate security challenges are intertwinedwith technological progress:Vehicular ad hoc Networks(VANETs),a core component of IoV,face security issues,particularly the Black Hole Attack(BHA).This malicious attack disrupts the seamless flow of data and threatens the network’s overall reliability;also,BHA strategically disrupts communication pathways by dropping data packets from legitimate nodes altogether.Recognizing the importance of this challenge,we have introduced a new solution called ad hoc On-Demand Distance Vector-Reputation-based mechanism Local Outlier Factor(AODV-RL).The significance of AODVRL lies in its unique approach:it verifies and confirms the trustworthiness of network components,providing robust protection against BHA.An additional safety layer is established by implementing the Local Outlier Factor(LOF),which detects and addresses abnormal network behaviors.Rigorous testing of our solution has revealed its remarkable ability to enhance communication in VANETs.Specifically,Our experimental results achieve message delivery ratios of up to 94.25%andminimal packet loss ratios of just 0.297%.Based on our experimental results,the proposedmechanismsignificantly improves VANET communication reliability and security.These results promise a more secure and dependable future for IoV,capable of transforming transportation safety and efficiency.

关键词： Black hole attack IoV vehicular ad hoc network AODV routing protocol

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Faster Region Convolutional Neural Network(FRCNN)Based Facial Emotion Recognition

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Computers, Materials & Continua 2024年第5期79卷 2427-2448页

作者： J.Sheril angel A.Diana Andrushia TMary Neebha Oussama Accouche Louai Saker N.Anand Department of Electronics and Communication Engineering Karunya Institute of Technology and SciencesCoimbatore641114India College of Engineering and Technology American University of the Middle EastEgaila54200Kuwait Department of Civil Engineering Karunya Institute of Technology and SciencesCoimbatore641114India

Facial emotion recognition(FER)has become a focal point of research due to its widespread applications,ranging from human-computer interaction to affective computing.While traditional FER techniques have relied on handcrafted features and classification models trained on image or video datasets,recent strides in artificial intelligence and deep learning(DL)have ushered in more sophisticated approaches.The research aims to develop a FER system using a Faster Region Convolutional Neural Network(FRCNN)and design a specialized FRCNN architecture tailored for facial emotion recognition,leveraging its ability to capture spatial hierarchies within localized regions of facial features.The proposed work enhances the accuracy and efficiency of facial emotion recognition.The proposed work comprises twomajor key components:Inception V3-based feature extraction and FRCNN-based emotion categorization.Extensive experimentation on Kaggle datasets validates the effectiveness of the proposed strategy,showcasing the FRCNN approach’s resilience and accuracy in identifying and categorizing facial expressions.The model’s overall performance metrics are compelling,with an accuracy of 98.4%,precision of 97.2%,and recall of 96.31%.This work introduces a perceptive deep learning-based FER method,contributing to the evolving landscape of emotion recognition technologies.The high accuracy and resilience demonstrated by the FRCNN approach underscore its potential for real-world applications.This research advances the field of FER and presents a compelling case for the practicality and efficacy of deep learning models in automating the understanding of facial emotions.

关键词： Facial emotions FRCNN deep learning emotion recognition face CNN

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Asthma, bronchiectasis, and chronic obstructive pulmonary disease: the Bermuda Triangle of the airways

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Chinese Medical Journal 2022年第12期135卷 1390-1393页

作者： miguel angel martinez Garcia Joan B.Soriano Pneumology Department Hospital Universitario y Politecnico la Fe de ValenciaSpain CIBERES de enfermedades respiratorias Instituto de salud Carlos IIIMadridSpain Servicio de Neumologia Hospital Universitario de la PrincesaMadridSpain Facultad de Medicina Universidad Autonoma de MadridMadridSpain

Also known as the Devil's Triangle or Hurricane Alley,the Bermuda Triangle is an area of the Atlantic Ocean with vertices in Miami,San Juan de Puerto Rico,and Bermuda,which has been credited for causing mass disappear... 详细信息

关键词： airway obstructive Atlantic

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Pembrolizumab autoimmune related diabetes:Moving forward,keep learning

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World Journal of Clinical Oncology 2024年第5期15卷 576-579页

作者： Jose angel Garcia Diego Alcaraz Esther Holgado Felipe Couñago Department of Medical Oncology GenesisCare Spain-San Francisco de Asis University HospitalMadrid 28002Spain Department of Chief of Medical Oncology GenesisCare Spain-San Francisco de Asis University HospitalMadrid 28002Spain Department of Chief of Radiation Oncology GenesisCare-Vithas La Milagrosa HospitalMadrid 28010Spain

Immune checkpoint inhibitors(and more specifically programmed cell death 1/programmed cell death ligand 1 inhibitors as Pembrolizumab)initiated a revolution in the field of melanoma and have now expanded to several tumor subtypes and in increasingly broader clinical contexts,including the adjuvant and neoadjuvant setting,with potentially curable patients and prolonged survival.The side effects related to these drugs include a wide spectrum of manifestations,with endocrinological adverse events being some of the most frequent.Pembrolizumab-induced type 1 diabetes mellitus is an infrequent but potentially serious and not clearly reversible side effect that possesses characteristic clinical features and has high morbidity and mortality,with a chronic impact on quality of life.The etiopathogenesis of this phenomenom needs to be further investigated and a collaborative effort through the involvement of oncologists and other medical specialists is necessary for the correct identification and management of patients at risk.

关键词： Immune checkpoints Pembrolizumab Immunotherapy Side effects Endocrine system Diabetes mellitus

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Bronchiectasis and COVID-19 infection:a two-way street

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Chinese Medical Journal 2022年第20期135卷 2398-2404页

作者： Grace Oscullo Jose DanieGómez-Olivas Thais Beauperthuy AminaBekki Alberto Garcia-Ortega Maria Gabriella Matera Mario Cazzola miguel angel martinez-Garcia Department of Pneumology Hospital Universitario y Politécnico la Fe de ValenciaValencia 46012Spain Department of Experimental Medicine University of Campania“Luigi Vanvitelli”Naples 80121Italy Department of Experimental Medicine University of Rome Tor VergataRome 00185Italy CIBERES de enfermedades respiratorias Instituto de Salud Carlos IIIMadrid 41263Spain

Bronchiectasis(BE)has been linked to past viral infections such as influenza,measles,or adenovirus.Two years ago,a new pandemic viral infection severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)broke out and it still persists today,and a significant proportion of surviving patients have radiological and clinical sequelae,including BE.Our aim was to thoroughly review the information available in the literature on the bidirectional relationship between SARS-CoV-2 infection and the development of BE,as well as the impact of this infection on patients already suffering from BE.Available information indicates that only a small percentage of patients in the acute phase of coronavirus disease 2019(COVID-19)pneumonia develop BE,although the latter is recognized as one of the radiological sequelae of COVID-19 pneumonia,especially when it is caused by traction.The severity of the initial pneumonia is the main risk factor for the development of future BE,but during the COVID-19 pandemic,exacerbations in BE patients were reduced by approximately 50%.Finally,the impact of BE on the prognosis of patients with COVID-19 pneumonia is not yet known.

关键词： Bronchiectasis Coronavirus COVID-19 SARS-CoV-2

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