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MMALE—A Methodology for Malware Analysis in Linux Environments

Computers, Materials & Continua 2021年第5期67卷 1447-1469页

作者： joséjavier de Vicente Mohino javier Bermejo Higuera Juan Ramón Bermejo Higuera Juan Antonio Sicilia Montalvo Manuel Sánchez Rubio joséjavier martínez herraiz Escuela Superior de Ingeniería y Tecnología Universidad Internacional de La RiojaLogroño26006La RiojaSpain Departamento de Ciencias de la Computación de la Escuela Politécnica Superior Universidad de Alcaláde HenaresAlcaláde HenaresMadridSpain

In a computer environment,an operating system is prone to malware,and even the Linux operating system is not an *** recent years,malware has evolved,and attackers have become more qualified compared to a few years ***,Linux-based systems have become more attractive to cybercriminals because of the increasing use of the Linux operating system in web servers and Internet of Things(IoT)*** is the most employed OS,so most of the research efforts have been focused on its malware protection rather than on other operating *** a result,hundreds of research articles,documents,and methodologies dedicated to malware analysis have been ***,there has not been much literature concerning Linux security and protection from *** address all these new challenges,it is necessary to develop a methodology that can standardize the required steps to perform the malware analysis in depth.A systematic analysis process makes the difference between good and ordinary malware ***,a deep malware comprehension can yield a faster and much more efficient malware *** order to address all mentioned challenges,this article proposed a methodology for malware analysis in the Linux operating system,which is a traditionally overlooked field compared to the other operating *** proposed methodology is tested by a specific Linux malware,and the obtained test results have high effectiveness in malware detection.

关键词： Malware analysis methodology analysis Linux malware IoT malware

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The Nikola Tesla Constant and Its Relation to the Circumference Inscribed in a Square

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Journal of Applied Mathematics and Physics 2024年第1期12卷 277-283页

作者： javier Mendoza Navarrete josé Ismael Ojeda Campaña Huetzin Perez Gabriel Luna-Sandoval Victor Verdugo Ricardo Jiménez Garcia Departamento de Matemáticas CBTis 256 DGETI Cabo San Lucas México División de Ingeniería en Sistemas Computacionales Tecnológico Nacional de México/ITES de Los Cabos Cabo San Lucas México DCI Departamento de Física Médica Universidad de Guanajuato León México Departamento de Ingeniería Industrial en Manufactura Universidad Estatal de Sonora Navojoa México Departamento de Eléctrica-Electrónica Tecnológico Nacional de México Campus Mexicali Mexicali México

This research work relates the surface of a square and the area circumscribed by a circle, resulting in a value called Nikola Tesla constant. This constant starts with the calculation of the areas of the square and the inscribed circle, giving a ratio of 9/40 and from which a residual area of the area proportions of the geometric figures described is obtained. Plotting smooth curves, particularly those in round shapes, can be represented efficiently with the use of Nikola Tesla constant, reducing complex mathematical calculus.

关键词： Tesla Numbers Prime Number Circle Binary Area

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A Probabilistic Description of the Impact of Vaccine-Induced Immunity in the Dynamics of COVID-19 Transmission

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Open Journal of Modelling and Simulation 2024年第2期12卷 59-73页

作者： javier Blecua Juan Fernández-Recio josé Manuel Gutiérrez Instituto de Ciencias de la Vid y del Vino (ICVV) CSIC-Universidad de La Rioja-Gobierno de La Rioja Logro&#241o Spain Departamento de Matemá ticas y Computaci&#243n Universidad de La Rioja Logro&#241o Spain

The recent outbreak of COVID-19 has caused millions of deaths worldwide and a huge societal and economic impact in virtually all countries. A large variety of mathematical models to describe the dynamics of COVID-19 transmission have been reported. Among them, Bayesian probabilistic models of COVID-19 transmission dynamics have been very efficient in the interpretation of early data from the beginning of the pandemic, helping to estimate the impact of non-pharmacological measures in each country, and forecasting the evolution of the pandemic in different potential scenarios. These models use probability distribution curves to describe key dynamic aspects of the transmission, like the probability for every infected person of infecting other individuals, dying or recovering, with parameters obtained from experimental epidemiological data. However, the impact of vaccine-induced immunity, which has been key for controlling the public health emergency caused by the pandemic, has been more challenging to describe in these models, due to the complexity of experimental data. Here we report different probability distribution curves to model the acquisition and decay of immunity after vaccination. We discuss the mathematical background and how these models can be integrated in existing Bayesian probabilistic models to provide a good estimation of the dynamics of COVID-19 transmission during the entire pandemic period.

关键词： COVID-19 Transmission Dynamics Probabilistic Model Bayesian Analysis Markov Chain Monte Carlo

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Genomic selection in plant breeding:Key factors shaping two decades of progress

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Molecular Plant 2024年第4期17卷 552-578页

作者： Admas Alemu Johanna Astrand Osval A.Montesinos-López Julio Isidro y Sanchez javier Fernandez-Gónzalez Wuletaw Tadesse Ramesh R.Vetukuri Anders S.Carlsson Alf Ceplitis joséCrossa Rodomiro Ortiz Aakash Chawade Department of Plant Breeding Swedish University of Agricultural SciencesAlnarpSweden Lantmannen Lantbruk SvalövSweden Facultad de Telematica University de ColimaColimaColima 28040Mexico Centro de Biotecnología y Genómica de Plantas(CBGP UPM-INIA)Universidad Politécnica de Madrid(UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria(INIA)Campus de Montegancedo-UPM28223 MadridSpain International Center for Agricultural Research in the Dry Areas(ICARDA) RabatMorocco International Maize and Wheat Improvement Center(CIMMYT) Km 45Carretera México-VeracruzTexcocoMéxico 52640Mexico

Genomic selection,the application of genomic prediction(GP)models to select candidate individuals,has significantly advanced in the past two decades,effectively accelerating genetic gains in plant *** article provides a holistic overview of key factors that have influenced GP in plant breeding during this *** delved into the pivotal roles of training population size and genetic diversity,and their relationship with the breeding population,in determining GP *** emphasis was placed on optimizing training population *** explored its benefits and the associated diminishing returns beyond an optimum *** was done while considering the balance between resource allocation and maximizing prediction accuracy through current optimization *** density and distribution of single-nucleotide polymorphisms,level of linkage disequilibrium,genetic complexity,trait heritability,statistical machine-learning methods,and non-additive effects are the other vital *** wheat,maize,and potato as examples,we summarize the effect of these factors on the accuracy of GP for various *** search for high accuracy in GP—theoretically reaching one when using the Pearson’s correlation as a metric—is an active research area as yet far from optimal for various *** hypothesize that with ultra-high sizes of genotypic and phenotypic datasets,effective training population optimization methods and support from other omics approaches(transcriptomics,metabolomics and proteomics)coupled with deep-learning algorithms could overcome the boundaries of current limitations to achieve the highest possible prediction accuracy,making genomic selection an effective tool in plant breeding.

关键词： genomic selection genetic gain genomic prediction optimization deep learning training population optimization

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Contributions to data transmission at critical moments on unmanned aerial vehicles

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Chinese Journal of Aeronautics 2023年第8期36卷 247-257页

作者： jose Enrique RODRIGUEZ David SEGURADO Manuel SANCHEZ jose javier martInez Rafael GONZALEZ National Institute of Aerospace Technology Madrid 28850Spain Department of Computer Science University of AlcalaAlcala de HenaresMadrid 28054Spain

As for unmanned aircraft, the knowledge of the aircraft performance is directly related with the navigation, guidance, and control system programming. Therefore, the measured data in each phase of the flight must be sufficiently precise to obtain a good characterization of *** article proposes new methods of sending information to ground, which make it possible to know the aircraft behavior accurately, and for this purpose, four contributions have been made for ALO(Avión Ligero de Observación, Spanish acronym for Light Observation Aircraft). Currently, the characterization is based on data obtained at ten samples per second, insufficient to acquire detailed knowledge of what happened during the whole flight of an aircraft. As a result of these contributions, many more samples per second of accelerations and angular velocities are obtained at the most critical moments of the flight, such as takeoff or landing. Among the improvements included are data compression techniques, providing references to locate the measured data in time and identifying labels of each parameter.

关键词： Critical moments Data transmission Datacompression tech-niques Radio-modem Recommended Standard 232(RS-232) Unmannedaerial vehicle

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From liver to hormones:The endocrine consequences of cirrhosis

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World Journal of Gastroenterology 2024年第9期30卷 1073-1095页

作者： Juan Eduardo Quiroz-Aldave Elman Rolando Gamarra-Osorio María del Carmen Durand-Vásquez Luciana del Pilar Rafael-Robles Jhean Gabriel Gonzáles-Yovera María Alejandra Quispe-Flores Luis Alberto Concepción-Urteaga Alejandro Román-González josé Paz-Ibarra Marcio josé Concepción-Zavaleta Non-communicable Diseases Endocrinology Research LineHospital de Apoyo ChepénChepén 13871Peru Department of Endocrinology Hospital Víctor Lazarte EchegarayTrujillo 13006Peru Department of Endocrinology Clínica Javier PradoLima 15046Peru Department of Gastroenterology Hospital Nacional Guillermo Almenara IrigoyénLima 15018Peru Department of Endocrinology Hospital de Emergencias GrauLima 15001Peru Internal Medicine Hospital Regional Docente de TrujilloTrujillo 13011Peru Department of Endocrinology Hospital Universitario de San Vicente FundaciónMedellin 050010Colombia Internal Medicine Universidad de AntioquiaMedellín 050010Colombia School of Medicine Universidad Nacional Mayor de San MarcosLima 15081Peru Department of Endocrinology Hospital Nacional Edgardo Rebagliati MartinsLima 15072Peru Carrera de Medicina Humana Universidad Científica del SurLima 15067Peru

Hepatocrinology explores the intricate relationship between liver function and the endocrine *** liver diseases such as liver cirrhosis can cause endocrine disorders due to toxin accumulation and protein synthesis *** its importance,assessing endocrine issues in cirrhotic patients is frequently *** article provides a comprehensive review of the epidemiology,pathophysiology,diagnosis,and treatment of endocrine disturbances in liver *** review was conducted using the PubMed/Medline,EMBASE,and Scielo databases,encompassing 172 *** cirrhosis is associated with endocrine disturbances,including diabetes,hypoglycemia,sarcopenia,thyroid dysfunction,hypogonadotropic hypogonadism,bone disease,adrenal insufficiency,growth hormone dysfunction,and secondary *** optimal tools for diagnosing diabetes and detecting hypoglycemia are the oral glucose tolerance test and continuous glucose monitoring system,*** can be assessed through imaging and functional tests,while other endocrine disorders are evaluated using hormonal assays and imaging *** options include metformin,glucagon-like peptide-1 analogs,sodium-glucose co-transporter-2 inhibitors,and insulin,which are effective and safe for diabetes *** standards are followed for managing hypoglycemia,and hormone replacement therapy is often necessary for other endocrine *** transplantation can address some of these problems.

关键词： Diabetes mellitus Hypoglycemia Thyroid diseases Hypogonadism Metabolic bone diseases Liver cirrhosis

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Federated Network Intelligence Orchestration for Scalable and Automated FL-Based Anomaly Detection in B5G Networks

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Computers, Materials & Continua 2024年第7期80卷 163-193页

作者： Pablo Fernández Saura josé M.Bernabé Murcia Emilio García de la Calera Molina Alejandro Molina Zarca Jorge Bernal Bernabé Antonio F.Skarmeta Gómez Department of Information and Communications Engineering University of MurciaMurcia30100Spain University Center of Defense Spanish Air Force AcademySan Javier30720Spain

The management of network intelligence in Beyond 5G(B5G)networks encompasses the complex challenges of scalability,dynamicity,interoperability,privacy,and *** are essential steps towards achieving the realization of truly ubiquitous Artificial Intelligence(AI)-based analytics,empowering seamless integration across the entire Continuum(Edge,Fog,Core,Cloud).This paper introduces a Federated Network Intelligence Orchestration approach aimed at scalable and automated Federated Learning(FL)-based anomaly detection in *** leveraging a horizontal Federated learning approach based on the FedAvg aggregation algorithm,which employs a deep autoencoder model trained on non-anomalous traffic samples to recognize normal behavior,the systemorchestrates network intelligence to detect and prevent *** into a B5G Zero-touch Service Management(ZSM)aligned Security Framework,the proposal utilizes multi-domain and multi-tenant orchestration to automate and scale the deployment of FL-agents and AI-based anomaly detectors,enhancing reaction capabilities against *** proposed FL architecture can be dynamically deployed across the B5G Continuum,utilizing a hierarchy of Network Intelligence orchestrators for real-time anomaly and security threat *** includes FL enforcement operations for interoperability and extensibility,enabling dynamic deployment,configuration,and reconfiguration on *** validation of the proposed solution was conducted through dynamic orchestration,FL,and real-time anomaly detection processes using a practical test *** of key performance metrics,leveraging the 5G-NIDD dataset,demonstrates the system’s capability for automatic and near real-time handling of anomalies and attacks,including real-time network monitoring and countermeasure implementation for mitigation.

关键词： Federated learning 6G orchestration anomaly detection security policy

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The effect of Saccharomyces cerevisiae on digestion and mortality in the volcano rabbit(Romerolagus diazi)

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Journal of Integrative Agriculture 2015年第3期14卷 520-525页

作者： Rogelio Campos-Morales Germán D Mendoza javier Ojeda Fernando X Plata josé A martínez Nutrition Area Surveillance General Direction of Zoos Mexico from City and Wildlife México Master Program in Animal and Agricultural Sciences Metropolitan Autonomous University (Xochimilco Unit)

An experiment was conducted to evaluate whether supplementation with a probiotic could enhance digestion and reduce mortality in the volcano rabbit in captivity. Two enclosures at Chapultepec Zoo, Mexico（114 individuals） were used in a crossover design（two periods of 60 days） with the following treatments： control group and supplementation with Saccharomyces cerevisiae（2×108 CFU/exhibit/day）. Supplementation with the probiotic negatively affected（P〈0.01） the digestibility of dry matter, organic matter, neutral detergent fiber（NDF） and energy. Mortality increased（P〈0.04） following supplementation with the probiotic（4.26% vs. 8.89%）, primarily in the juvenile rabbits. The results indicate that yeast supplementation in the volcano rabbit negatively affects digestion and mortality in captivity.

关键词： Saccharomyces cerevisiae volcano rabbit digestibility mortality

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Driving factors of tree biomass and soil carbon pool in xerophytic forests of northeastern Argentina

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Ecological Processes 2023年第4期12卷 274-286页

作者： Silvana María josé Sione Marcelo Germán Wilson Silvia Gabriela Ledesma Emmanuel Adrián Gabioud josé Daniel Oszust Leandro javier Rosenberger Centro de Investigación Científica y de Transferencia Tecnológica a la Producción (CICy TTP-CONICET ) Facultad de Ciencias Agropecuarias (FCA-UNER) Universidad Nacional de Entre Ríos Instituto Nacional de Tecnología Agropecuaria (INTA) EEA Paraná

Background The conversion of forests into agricultural lands can be a threat because the forests carbon stored could be a source of emissions. The capacity to improve the predictions on the consequences of land use change depends on the identification of factors that influence carbon pools. We investigated the key driving factors of tree biomass and soil carbon pools in xerophytic forests in northeastern Argentina. Based on analyses of forest structure variables and abiotic factors（topography and soil properties） from 18 mature forests, we evaluated carbon pools using uniand multivariate（redundancy analysis） *** The total carbon pool was estimated at 102.4 ± 24.0 Mg ha-1. Soil organic carbon storage is the single largest carbon pool relative to tree biomass, representing 73.1% of total carbon. Tree canopy cover and basal area were positively correlated with biomass carbon pool（r = 0.77 and r = 0.73, p < 0.001, respectively）, proving to be significant drivers of carbon storage in this compartment. Slope, soil clay content and cation-exchange capacity had a better explanation for the variability in soil carbon pools, and all showed significant positive correlations with soil carbon pools（r = 0.64, 0.60 and 0.50; p < 0.05, respectively）. The vertisols showed a 27.8% higher soil carbon stock than *** The relevance of our study stems from a dearth of information on carbon pools and their drivers in xerophytic forests, and in particular, the importance of this ecosystems' type for Argentina, because they cover 81.9% of native forest area. Basal area and tree canopy cover exert a strong effect on the carbon pool in tree biomass but not in the soil. The results suggests that there is a potentially major SOC accumulation in forests located in slightly sloping areas and soils with higher topsoil clay content, such as vertisols. This could provide an important reference for implementing forestry carbon sink projects.

关键词： Carbon pool Forest biomass Soil parameters Ecosystem services

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Assessing above-ground biomass-functional diversity relationships in temperate forests in northern Mexico

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Forest Ecosystems 2021年第1期8卷 95-108页

作者： Benedicto Vargas-Larreta Jorge Omar López-martínez Edgar J.González joséjavier Corral-Rivas Francisco javier Hernández Tecnológico Nacional de México/Instituto Tecnológico de El Salto 34942 El SaltoDurangoMexico Cátedras CONACYT1582Av.Insurgentes SurCiudad de MéxicoMexico El Colegio de la Frontera Sur 77014ChetumalQuintana RooMexico Departamento de Ecología y Recursos Naturales Facultad de CienciasUniversidad Nacional Autónoma de MéxicoCiudad de MéxicoMexico Facultad de Ciencias Forestales Universidad Juárez del Estado de DurangoRío Papaloapan y Blvd.Durango s/nCol.Valle del Sur34120 DurangoMexico

Background:Studies on the relationship between biodiversity and ecosystem productivity have suggested that species richness and functional diversity are the main drivers of ecosystem *** patterns on this relationship have been found,including positive,unimodal,negative,and neutral trends,keeping the issue *** this study,taxonomic diversity and functional diversity as drivers of above-ground biomass(AGB)were compared,and the mechanisms that influence biomass production were investigated by testing the complementarity and the mass-ratio ***:Using data from 414 permanent sample plots,covering 23%of temperate forest in the Sierra Madre Oriental(México),we estimated the above-gound biomass(AGB),taxonomic and functional diversity indices,as well as community weighted mean values(CWM)for three functional traits(maximum height,leaf size and wood density)for trees≥7.5 cm DBH,in managed and unmanaged *** compare taxonomic diversity differences between managed and unmanaged stands we carried out a rarefaction ***,we evaluated the relationship between AGB and taxonomic and functional diversity metrics,as well as CWM traits throught spatial autoregressive ***:We found a hump-shaped relationship between AGB and species richness in managed and unmanaged *** of maximum height was the most important predictor of AGB in both stands,which suggested that the mechanism underlaying the AGB-diversity relationship is the dominance of some highly productive species,supporting the mass-ratio ***-ground biomass was significantly correlated with three of the five functional diversity metrics,CWM maximum height and species *** results show the importance of taking into account spatial autocorrelation in the construction of predictive models to avoid spurious patterns in the AGBdiversity ***:Species richness,maximum height,functional richness,functional dispersion and Rao

关键词： Taxonomic diversity Functional diversity Complementarity hypothesis Mass-ratio hypothesis

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