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Building Simulation 2024年第5期17卷 839-855页

作者： pablo Aparicio-Ruiz Elena Barbadilla-m.rtin Jose Guadix Jesus munuzuri Grupo de Ingenieria de Organizacion Escuela Tecnica Superior de IngenieriaUniversidad de SevillaCamino de los Descubrimientos S/N41092SevilleSpain

Since indoor clothing insulation is a key element in thermal comfort models,the aim of the present study is proposing an approach for predicting it,which could assist the occupants of a building in terms of recommendations regarding their *** that,a systematic analysis of input variables is exposed,and 13 regression and 12 classification machine learning algorithms were developed and *** results are based on data from 3352 questionnaires and 21 input variables from a field study in mixed-mode office buildings in *** temperature at 6 a.m.,indoor air temperature,indoor relative humidity,comfort temperature and gender were the most relevant features for predicting clothing *** comparing machine learning algorithms,decision tree-based algorithms with Boosting techniques achieved the best *** proposed model provides an efficient method for forecasting the clothing insulation level and its application would entail optimising thermal comfort and energy efficiency.

关键词： clothing insulation simulation adaptive thermal comfort behavioural adaptive actions machine learning

Generation of lossy mode resonances(LmR)using perovskite nanofilms

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Opto-Electronic Advances 2024年第2期7卷 33-40页

作者： Dayron Armas Ignacio R.matias m.Carmen Lopez-Gonzalez Carlos Ruiz Zamarreño pablo Zubiate Ignacio del Villar Beatriz Romero Electrical Electronic and Communications Engineering DepartmentPublic University of NavarraPamplona 31006Spain Institute of Smart Cities(ISC) Public University of NavarraPamplona 31006Spain Experimental Science and Technology School Rey Juan Carlos UniversityMostoles 28933Spain

The results presented here show for the first time the experimental demonstration of the fabrication of lossy mode resonance(LmR) devices based on perovskite coatings deposited on planar waveguides. Perovskite thin films have been obtained by means of the spin coating technique and their presence was confirmed by ellipsometry, scanning electron microscopy, and X-ray diffraction testing. The LmRs can be generated in a wide wavelength range and the experimental results agree with the theoretical simulations. Overall, this study highlights the potential of perovskite thin films for the development of novel LmR-based devices that can be used for environmental monitoring, industrial sensing, and gas detection, among other applications.

关键词： perovskite thin films slab waveguide lossy mode resonance

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A comprehensive comparison of different regression techniques and nature-inspired optimization algorithms to predict carbonation depth of recycled aggregate concrete

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Frontiers of Structural and Civil Engineering 2024年第1期18卷 30-50页

作者： Bin XI Ning ZHANG Enming LI Jiabin LI Jian ZHOU pablo SEGARRA Department of Civil and Environmental Engineering Politecnico Di MilanoMilano 20133Italy Leibniz Institute of Ecological Urban and Regional Development(IOER) Dresden 01217Germany Universidad Politécnica de madrid-ETSI minas y Energía Madrid 28003Spain Department of Civil Engineering KU Leuven CampusBrugge 8200Belgium School of Resources and Safety Engineering Central South UniversityChangsha 410083China

The utilization of recycled aggregates(RA)for concrete production has the potential to offer substantial environmental and economic ***,RA concrete is plagued with considerable durability concerns,particularly *** advance the application of RA concrete,the establishment of a reliable model for predicting the carbonation is *** the one hand,concrete carbonation is a long and slow process and thus consumes a lot of time and energy to *** the other hand,carbonation is influenced by many factors and is hard to *** this,this paper proposes the use of machine learning techniques to establish accurate prediction models for the carbonation depth(CD)of RA *** types of regression techniques and meta-heuristic algorithms were employed to provide more alternative predictive *** was found that the best prediction performance was obtained from extreme gradient boosting-multi-universe optimizer(XGB-mVO)with R^(2) value of 0.9949 and 0.9398 for training and testing sets,***-mVO was used for evaluating physical laws of carbonation and it was found that the developed XGB-mVO model could provide reasonable predictions when new data were *** also showed better generalization capabilities when compared with different models in the ***,this paper emphasizes the need for sustainable solutions in the construction industry to reduce its environmental impact and contribute to sustainable and low-carbon economies.

关键词： recycled aggregate concrete carbonation depth nature-inspired optimization algorithms extreme gradient boosting technique parametric analysis

Spatial and temporal patterns of forest fires in the Central monte:relationships with regional climate

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Ecological Processes 2024年第01期13卷 66-79页

作者： pablo Eugenio Villagra Erica Cesca Leandro manuel Alvarez Silvia Delgado Ricardo Villalba Instituto Argentino de Nivología Glaciología y Ciencias Ambientales–CONICET-CCT mendoza Facultad de Ciencias Agrarias Universidad Nacional de Cuyo

Background Natural and anthropogenic wildfires burn large areas of arid and semi-arid forests with significant socio-economic and environmental impacts. Fire regimes are controlled by climate, vegetation type, and anthropogenic factors such as ignition sources and human-induced disturbances. Projections of climate and land-use change suggest that these controlling factors will change, altering fire regimes in the near future. In the southern Central monte, mendoza, Argentina, the factors that modulate the fire temporal and spatial variability are poorly understood. We reconstructed the fire history of southeast of mendoza from 1984 to 2023 and investigated the relationships between fire extent and climate variability at seasonal and interannual scales. Burned areas were determined using Google Earth Engine by processing Landsat 5-Tm, Landsat 7-ETm+, and Landsat 8-OLI-TIRS sensor *** The region exhibited high spatial and temporal variability in fire occurrence, being a mosaic of areas with different fire histories and recovery times. Between 1985 and 2023, fire recurrence ranged from sites unburned to sites with up to 14 fires. The occurrence of large fires was strongly favored by a combination of a year with abundant spring–early summer precipitation, which favors fuel accumulation, followed by a year of low spring–early summer precipitation. Precipitation and burnt area showed a very pronounced 6–7 year cycle, suggesting a dominant climatic control on fire *** Fire distribution in southeastern mendoza forests is not homogeneous, resulting in a mosaic of patches with different fire histories. This heterogeneity may be related to vegetation patterns and land use. The temporal variability of fires is strongly influenced by climate variability, which would promote fuel production and subsequent drying. Large fires are concentrated in periods of high interannual precipitation variability. Climate change scenarios predict an increase in tem

关键词： Fire recurrence Fire mapping Recovery time Climate Dry forest Wildfire

Prevalence and ecological factors affecting the distribution of plant-parasitic nematodes in Prunus groves in Spain

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Journal of Integrative Agriculture 2024年第2期23卷 566-589页

作者： Ilenia Clavero-Camacho Antonio Archidona-Yuste Carolina Cantalapiedra-Navarrete pablo Castillo Juan Emilio Palomares-Rius Institute for Sustainable Agriculture(IAS) Spanish National Research Council(CSIC)Córdoba 14004Spain Andalusian Institute of Agricultural and Fisheries Research and Training(IFAPA) Centro Alameda del ObispoCórdoba 14004Spain

A wide survey was conducted to study plant-parasitic nematodes(PPNs)associated with Prunus groves in *** research aimed to determine the prevalence and distribution of PPNs in Prunus groves,as well as the influence of explanatory variables describing soil,climate and agricultural management in structuring the variation of PPNs community composition.A total of 218 sampling sites were surveyed and 84 PPN species belonging to 32 genera were identified based of an integrative taxonomic *** species considered as potential limiting factors in Prunus production,such as meloidogyne arenaria,***,***,Pratylenchus penetrans and ***,were identified in this *** soil physico-chemical(C,mg,N,Na,Om,P,pH and clay,loamy sand and sandy loam texture classes),four climate(Bio04,Bio05,Bio13 and Bio14)and four agricultural management variables(grove-use history less than 10 years,irrigation,apricot seedling rootstock,and montclar rootstock)were identified as the most influential variables driving spatial patterns of PPNs *** particular,younger plantations showed higher values for species richness and diversity indices than groves cultivated for more than 20 years with Prunus *** study increases the knowledge of the distribution and prevalence of PPNs associated with Prunus rhizosphere,as well as on the influence of explanatory variables driving the spatial structure PPNs communities,which has important implications for the successful design of sustainable management strategies in the future in this agricultural system.

关键词： nematodes meloidogyne Pratylenchus Paratylenchus rootstock distribution soil grove-use almond peach

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Re-Densification Effect of Pressure-Injected Peptide-Hyaluronic Acid Combination on male Androgenic Alopecia

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Journal of Cosmetics, Dermatological Sciences and Applications 2024年第1期14卷 29-44页

作者： pablo Naranjo Elite Laser Clinic Madrid Spain

Introduction: mechanism of male androgenic alopecia (mAGA) is complex and leads to an excessive hair shedding and decreased hair density. Oral, topical, and injectable autologous treatments demonstrate ability to stimulate hair re-growth, but the response is suboptimal or plateaus off. Synthetic combination of the peptide complex and hyaluronic acid (P-HA) demonstrated hair regrowth in alopecia patients. Electronically-operated pneumatic injections (EPI) generate micro-trauma in the dermis and under wound-healing conditions may enhance regeneration effect of P-HA. methods: Subjects seeking improvement of their male pattern hair loss (Hamilton-Norwood type 2-4) received the P-HA treatments through EPI. The course included 4 treatments every two weeks over the 8-week period. In 6 months, the hair growth was assessed comparative to baseline by global clinical photography and digital phototrichograms. The treatment safety and tolerability were documented through the whole study period. Results: Twelve men (30-45 years old) completed the treatment course with high tolerability and without adverse events. Post-treatment assessment of the previously bald areas showed improved coverage on the clinical photographs. The phototrichograms demonstrated statistically significant increase in terminal hair density by 36%, cumulative hair thickness by 37%, and follicular units by 20%;all contributing to a 38% increase in cumulated hair density (all p Conclusion: Electronic pneumatic injections are well tolerated and can be safely used for the needle-free administration of the peptide-hyaluronic acid combination in mAGA therapy. We achieved significant hair re-densification in the balding scalp. The exact role of the EPI-induced impact in the hair re-growth mechanism remains to be ascertained. .

关键词： Jet Injections Electronic Pneumatic Injections male Androgenic Alopecia Bioactive Peptides EnerJet

Plant triterpenoid saponins function as susceptibility factors to promote the pathogenicity of Botrytis cinerea

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molecular Plant 2024年第7期17卷 1073-1089页

作者： Francisco J.Escaray Amelia Felipo-Benavent Cristian J.Antonelli Begona Balaguer maria Pilar Lopez-Gresa pablo Vera Instituto de Biologia molecular y Celular de Plantas Universidad Politecnica de Valencia-C.S.l.CCiudad Politecnica de la InnovacionEdificio 8Eacceso GIngeniero Fausto Elios/n46022ValenciaSpain

The gray mold fungus Botrytis cinerea is a necrotrophic pathogen that causes diseases in hundreds of plant species,including high-value *** polyxenous nature and pathogenic success are due to its ability to perceive host signals in its *** this study,we found that laticifer cells of Euphorbia lathyris are a source of susceptibility factors required by *** to cause ***,poor-in-latex(pil)mutants,which lack laticifer cells,show full resistance to this pathogen,whereas lot-of-latex mutants,which produce more laticifer cells,are *** S factors are triterpenoid saponins,which are widely distributed natural products of vast structural *** downregulation of laticifer-specific oxydosqualene cyclase genes,which encode the first committed step enzymes for triterpene and,therefore,saponin biosynthesis,conferred disease resistance to ***,the medicago truncatula Iha-1 mutant,compromised in triterpenoid saponin biosynthesis,showed enhanced ***,the application of different purified triterpenoid saponins pharmacologically complemented the diseaseresistant phenotype ofpil and hla-1 mutants and enhanced disease susceptibility in different plant *** found that triterpenoid saponins function as plant cues that signal transcriptional reprogramming in ***,leading to a change in its growth habit and infection strategy,culminating in the abundant formation of infection cushions,the multicellular appressoria apparatus dedicated to plant penetration and biomass destruction in *** together,these results provide an explanation for how plant triterpenoid saponins function as disease susceptibility factors to promote *** pathogenicity.

关键词： Euphorbia lathyris laticifer cell latex appressorium infection cushion necrotrophic fungi

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

Soil organic carbon stocks in native forest of Argentina:a useful surrogate for mitigation and conservation planning under climate variability

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Ecological Processes 2024年第1期13卷 3-24页

作者： pablo L.Peri Juan Gaitán matías mastrangelo marcelo Nosetto pablo E.Villagra Ezequiel Balducci martín Pinazo Roxana P.Eclesia Alejandra Von Wallis Sebastián Villarino Francisco Alaggia marina González Polo Silvina manrique pablo A.meglioli Julián Rodríguez-Souilla martín mónaco Jimena E.Chaves Ariel medina Ignacio Gasparri Eugenio Alvarez Arnesi maría Paula Barral Axel von müller Norberto m.Pahr Josefina Uribe Echevarria Pedro Fernández marina morsucci Dardo López Juan manuel Cellini Leandro Alvarez Ignacio Barberis Hernán Colomb Ludmila La manna Sebastián Barbaro Cecilia Blundo Ximena Sirimarco Laura Cavallero Gualberto Zalazar Guillermo martínez Pastur Instituto Nacional de Tecnología Agropecuaria (INTA) Universidad Nacional de la Patagonia Austral (UNPA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Universidad Nacional de Luján Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Grupo de Estudio de Agroecosistemas y Paisajes Rurales (GEAP) Universidad Nacional de Mar del Plata Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET ) CCT San Luis Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Instituto Argentino de Nivología Glaciología y Ciencias Ambientales (IANIGLA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Universidad Nacional de Cuyo Instituto de Investigaciones en Biodiversidad y medioambiente (INIBIOmA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Instituto de Investigaciones en Energía No Convencional CCT Salta-JujuyConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Laboratorio de Recursos Agroforestales Centro Austral de Investigaciones Científicas (CADIC) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Dirección Nacional de Bosques Ministerio de Ambiente y Desarrollo Sostenible de la Nación Instituto de Ecología Regional Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET )Universidad Nacional de Tucumán Universidad Nacional de Rosario Instituto de Investigaciones en Ciencias Agrarias de Rosario Centro Científico Tecnológico CONICET Grupo de Estudio de Agroecosistemas y Paisajes Rurales (GEAP) Universidad Nacional de Mar del Plata Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Laboratorio de Investigaciones en maderas (LImAD) Universidad Nacional de La Plata (UNLP) Administración de Parques Nacionales (APN) Parque Nacional Los Alerces Centro de Estudios Ambientales Integrados (CEAI) Universidad Nacional de la Patagonia San Juan Bosco (UNPASJB) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET )

Background The nationally determined contribution（NDC） presented by Argentina within the framework of the Paris Agreement is aligned with the decisions made in the context of the United Nations Framework Conven-tion on Climate Change（UNFCCC） on the reduction of emissions derived from deforestation and forest degradation, as well as forest carbon conservation（REDD+）. In addition, climate change constitutes one of the greatest threats to forest biodiversity and ecosystem services. However, the soil organic carbon（SOC） stocks of native forests have not been incorporated into the Forest Reference Emission Levels calculations and for conservation planning under cli-mate variability due to a lack of information. The objectives of this study were:（i） to model SOC stocks to 30 cm of native forests at a national scale using climatic, topographic and vegetation as predictor variables, and（ii） to relate SOC stocks with spatial–temporal remotely sensed indices to determine biodiversity conservation concerns due to threats from high inter-annual climate *** We used 1040 forest soil samples（0–30 cm） to generate spatially explicit estimates of SOC native forests in Argentina at a spatial resolution of approximately 200 m. We selected 52 potential predictive environmental covari-ates, which represent key factors for the spatial distribution of SOC. All covariate maps were uploaded to the Google Earth Engine cloud-based computing platform for subsequent modelling. To determine the biodiversity threats from high inter-annual climate variability, we employed the spatial–temporal satellite-derived indices based on Enhanced Vegetation Index（EVI） and land surface temperature（LST） images from Landsat *** SOC model（0–30 cm depth） prediction accounted for 69% of the variation of this soil property across the whole native forest coverage in Argentina. Total mean SOC stock reached 2.81 Pg C（2.71–2.84 Pg C with a probability of 90%） for a total area of 460,790 km2,

关键词： Soil organic carbon Biodiversity Native forest Climate change mitigation modelling Resilience

The Iberian Roma Population Variant Server(IRPVS)

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Journal of Genetics and Genomics 2024年第7期51卷 769-773页

作者： Fabiola mavillard Javier perez-Florido Francisco m.Ortuño Amador Valladares miren L.Álvarez-Villegas Gema Roldán Rosario Carmona manuel Soriano Santiago Susarte Pilar Fuentes Daniel López-López Ana maría Nuñez-Negrillo Alejandra Carvajal Yolanda morgado Daniel Arteaga Rosa Ufano pablo mir Juan F.Gamella Joaquín Dopazo Carmen Paradas macarena Cabrera-Serrano Instituto de Biomedicina de Sevilla(IBiS) Hospital Universitario Virgen del Rocío/CSIC/Universidad de SevillaSevillaSpain Centro Investigación Biomédica en Red Enfermedades Neurodegenerativas(CIBERNED) Instituto de Salud CarlosⅢSevillaSpain Plataforma Andaluza de medicina Computacional Fundación Progreso y Salud(FPS)Hospital Virgen del RocíoSevillaSpain Grupo de medicina computacional de sistemas Instituto de Biomedicina de Sevilla(IBiS)Hospital Virgen del RocíoSevillaSpain Nodo de Genómica Funcional (INB-ELIXIR-es)Fundación Progreso y Salud(FPS)Hospital Virgen del RocíoSevilla 41013Spain Bioinformática en Enfermedades raras(BiER) Centro de Investigación Biomédica en Red de Enfermedades Raras(CIBERER)Instituto de salud CarlosⅢSevillaSpain Departamento de Ingeniería de Computadores Automática y RobóticaUniversidad de GranadaGranadaSpain Servicio de Urgencias de Atención Primaria Distrito SevillaSevillaSpain Centro de Servicios Sociales Negociado de Servicios EspecializadosAyuntamiento de SevillaSevillaSpain Departamento de Enfermería Facultad de Ciencias de la SaludUniversidad de GranadaGranadaSpain Departamento de Neurología Hospital Virgen de las NievesGranadaSpain Departamento de Neurología Hospital Virgen de ValmeSevillaSpain Centro de Salud Utrera Sur SevillaSpain Centro de Salud Polígono Sur SevillaSpain Unidad de Trastornos del movimiento Servicio de Neurología y Neurofisiología ClínicaHospital Universitario Virgen del RocíoSevillaSpain Departamento de medicina Facultad de MedicinaUniversidad de SevillaSevilleSpain Departamento de Antropología Social Universidad de GranadaSpain Unidad Enfermedades Neuromusculares Servicio de Neurología y Neurofisiología ClínicaHospital Universitario Virgen del RocíoSevillaSpain

In recent years,the number of known disease genes has exponentially grown due to the widespread adoption of cost-effective massive parallel *** identify new disease variants,especially in monogenic disorders,a frequen... 详细信息

关键词： Server filtering massive