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Journal of Materiomics 2021年第5期7卷 1061-1073页

作者： Maria Fortuño-Morte pablo serna-gallén Héctor Beltrán-Mir Eloísa Cordoncillo Departamento de Química Inorgánica y Orgánica Universitat Jaume IAv.Sos Baynat s/n12071Castellóde la PlanaSpain

Environment-friendly pigments based on AFeO_(3)(A=La,Pr,nd,Sm,Gd,Tb,Y or Yb)with high nearinfrared(nIR)reflectance were synthesised by a coprecipitation method at 1200℃.The Rietveld refinement analysis showed single-phase orthorhombic perovskite for all *** pigments,which showed reddish hues,offered good colour stability after mixing these pigments in powder form with siloxane transparent paint and two different *** powderepaint mixtures produced with GdFeO_(3),TbFeO_(3) and YFeO_(3) pigments have the highest nIR solar reflectance,reaching values of R=50%.The temperature shielding studies conducted using TbFeO_(3) pigmentepaint mixture for a roof coating yielded a reduction of 3.2℃ in comparison to a commercial ***,the glazes that were pigmented using GdFeO_(3),TbFeO_(3) and YFeO_(3) compositions also presented the most intense reddish colours.A study of the thermal and chemical stability of the pigment with the highest nIR solar reflectance showed good stability in both *** reddish pigments that were prepared can therefore be good candidates for use in different applications such as cool pigments or pigments for ceramic glazes at high temperatures.

关键词： High nIR reflectance Cool pigment Reddish pigment Environment-friendly Coprecipitation

Predicting the clothing insulation through machine learning algorithms:A comparative analysis and a practical approach

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

作者： pablo Aparicio-Ruiz Elena Barbadilla-Martin 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

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

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

From BIM model to 3D construction printing:A framework proposal

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Frontiers of Architectural Research 2024年第4期13卷 912-927页

作者： Rodrigo García-Alvarado Pedro Soza Ginnia Moroni Fernando Pedreros Martín Avendaño pablo Banda Cristian Berríos Depto.Diseño y Teoría de La Arquitectura Universidad Del Bío-BíoConcepciónChile Depto.Arquitectura Universidad de ChileSantiagoChile Facultad de Ingeniería Arquitectura y DiseñoUniversidad San SebastiánConcepciónChile Facultad de Arquitectura Arte y DiseñoUniversidad Diego PortalesSantiagoChile

The growth of 3D construction printing needs appropriate integration into the planning and execution phases of building *** this aim,the Architecture,Engineering,and Construction sector(AEC)has been increasingly adopting building information modeling(BIM)systems to synchronize design and construction *** study proposes a technical workflow to manage 3D construction printing into BIM models,evaluating various procedures according to construction element *** on mature software platforms,the research details the data transfer process using a case study of a single-story *** case delves into design procedures for constructing walls of varied shapes,adjustments in width,joints,openings,textures,fillings,and the insertion of reinforcements and services while also discussing requirements of other building *** steps for managing design information and controlling printing machines are *** study’s outcome presents a comprehensive information flow,encompassing model segmentation,geometric data transfer,adjustments of details,and the generation of printing ***,it is offered a discussion that underlines the importance of a synergistic digital information flow that merges both design and execution phases,promoting construction efficiency and the embrace of innovative *** contribution of the paper focuses on technical design strategies for 3D construction printing,but also on suggesting an integrated process.

关键词： 3D construction printing Additive manufacturing Architectural design BIM

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

Blockade of Rho-associated kinase prevents inhibition of axon regeneration of peripheral nerves induced by anti-ganglioside antibodies

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neural Regeneration Research 2024年第4期19卷 895-899页

作者： Andrés Berardo Cristian R.Bacaglio Bárbara B.Báez Rubén Sambuelli Kazim A.Sheikh pablo H.H.Lopez Laboratorio de neurobiología Instituto de Investigación Médica Mercedes y Martin Ferreyra(INIMEC)-Consejo Nacional de Investigaciones Cientificas y Técnicas(CONICET)Universidad Nacional de Córdoba Departamento de Química Biológica-Centro de Investigaciones en Química Biológica de Córdoba(CIQUIBIC)-Consejo nacional de Investigaciones Cientificas y Técnicas(COnICET) Facultad de Cs.QuímicasUniversidad Nacional de Córdoba Servicio de Anatomía Patológica Clínica Universitaria Reina FabiolaUniversidad Católica de Córdoba Department of neurology University of Texas Medical School at Houston

Anti-ganglioside antibodies are associated with delayed/poor clinical recovery in Guillain-Barrèsyndrome,mostly related to halted axon ***-linking of cell surface gangliosides by anti-ganglioside antibodies triggers inhibition of nerve repair in in vitro and in vivo paradigms of axon *** effects involve the activation of the small GTPase Rho A/ROCK signaling pathways,which negatively modulate growth cone cytoskeleton,similarly to well stablished inhibitors of axon regeneration described so *** aim of this work was to perform a proof of concept study to demonstrate the effectiveness of Y-27632,a selective pharmacological inhibitor of ROCK,in a mouse model of axon regeneration of peripheral nerves,where the passive immunization with a monoclonal antibody targeting gangliosides GD1a and GT1b was previously reported to exert a potent inhibitory effect on regeneration of both myelinated and unmyelinated *** results demonstrate a differential sensitivity of myelinated and unmyelinated axons to the pro-regenerative effect of *** with a total dosage of 9 mg/kg of Y-27632 resulted in a complete prevention of anti-GD1a/GT1b monoclonal antibody-mediated inhibition of axon regeneration of unmyelinated fibers to skin and the functional recovery of mechanical cutaneous *** contrast,the same dose showed toxic effects on the regeneration of myelinated ***,scale down of the dosage of Y-27632 to 5 mg/kg resulted in a significant although not complete recovery of regenerated myelinated axons exposed to anti-GD1a/GT1b monoclonal antibody in the absence of toxicity in animals exposed to only ***,these findings confirm the in vivo participation of Rho A/ROCK signaling pathways in the molecular mechanisms associated with the inhibition of axon regeneration induced by anti-GD1a/GT1b monoclonal *** findings open the possibility of therapeutic pharmacological intervention targeting Rho A/R

关键词： anti-ganglioside antibodies anti-glycan antibodies axon regeneration ganglioside Guillain-Barrésyndrome nerve repair ROCK Y-27632

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A General Analytic Approximation Technique for the Modified Bessel Functions with Fractional Order Iv (x), Applied to I1/6(x) and I1/7(x)

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Advances in Pure Mathematics 2024年第9期14卷 768-777页

作者： Jorge Olivares pablo Martín Maria T. Veliz Departamento de Matemticas Universidad de Antofagasta Antofagasta Chile Departamento de Fsica Universidad de Antofagasta Antofagasta Chile

A general technique to obtain simple analytic approximations for the first kind of modified Bessel functions. The general procedure is shown, and the parameter determination is explained through the applications to this particular case I1/6(x)and I1/7(x). In this way, it shows how to apply the technique to any particular orderν, in order to obtain an approximation valid for any positive value of the variable x. In the present method power series and asymptotic expansion are simultaneously used. The technique is an extension of the multipoint quasirational approximation method, MPQA. The main idea is to look for a bridge function between the power and asymptotic expansion of the I1/6(x), and similar procedure for I1/7(x). To perform this, rational functions are combined with hyperbolic ones and fractional powers. The number of parameters to be determined for each case is four. The maximum relative errors are 0.0049 for ν=1/6, and 0.0047 for ν=7. However, these relative errors decrease outside of the small region of the variables, wherein the maximum relative errors are reached. There is a clear advantage of this procedure compared with any other ones.

关键词： Bessel Functions Power Series Asymptotic Expansion MPQA Technique

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