bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modelo DEMÓGRAF-ECONÓGRAF sobre la prospectiva demográfica, necesidad de vivienda, y empleo
Authors: Marmolejo Duarte Carlos Ramiro , Cerdà Troncoso Jorge Francisco , Roca Cladera Josep 
Published: December 2017

El objetivo del presente documento es exponer el conjunto de algoritmos que subyacen en el modelo Demógraf-Econógraf así como ilustrar su aplicación en Cataluña como marco territorial de la Región Metropolitana de Barcelona. El Modelo tiene por cometido realizar análisis prospectivos sobre la evolución de la población, las necesidades de vivienda y el empleo. La principal peculiaridad del mismo es su carácter intrínsecamente espacial. Como se ha mencionado en el artículo general del proyecto EVALUAMET, el modelo Demógraf-Econógraf se alimenta de los outputs del modelo SIMCAT en lo que se refiere a los tiempos de transporte, y a su vez alimenta al modelo Evaluaimpact el cual permite cuantificar algunos de los impactos ambientales producidos por la implementación de nuevas infraestructuras viarias así como proyectos urbanísticos, bajo un enfoque de eficiencia ambiental y social.
L’objectiu del present document és exposar el conjunt d’algoritmes que existeixen en el model Demògraf-Econògraf, així com il·lustrar la seva aplicació a Catalunya com marc territorial de la Regió Metropolitana de Barcelona. El Model té per objectiu realitzar anàlisis prospectius sobre l’evolució de la població, les necessitats d’habitatge i de treball. La principal peculiaritat d’aquest és el seu caràcter intrínsecament espacial. Com s’ha mencionat en l’article general del Projecte EVALUAMET, el model Demògraf-Econògraf s’alimenta dels outputs del model SIMVAT en el que es refereix als temps de transport i, a la vegada, alimenta al model Evaluaimpact, el qual permet quantificar alguns dels impactes ambientals produïts per la implementació de noves infraestructures viàries així com projectes urbanístics, sota un enfoc d’eficiència ambiental i social.
The purpose of this paper is to present the set of algorithms that underlie the Econógraf-Demógraf model as well as illustrate its application in Catalonia as a territorial framework of the Metropolitan Region of Barcelona. The model has the task of prospective analysis on population trends, housing needs and employment. The main peculiarity is its intrinsically spatial character. As mentioned in the main article of the EVALUAMET project, the Demógraf-Econógraf model feeds from the outputs of the SIMCAT model in terms of transport times, and in turn supplies the Evaluaimpact model which quantifies some of the environment impacts produced by the implementation of new road infrastructure and urban projects, under an approach of environmental and social efficiency.
SIMCAT: sistema de modelización de movilidad y tráfico en Catalunya: integración al modelo EVALÚAMET
Authors: López Aceña Raquel , Català Pou Ramon , Esquius Rafat Andreu 
Published: December 2017

El objetivo del presente documento es presentar el Sistema de Información y Modelización para la Evaluación de Políticas Territoriales de Cataluña (SIMCAT1). SIMCAT incluye un modelo de previsión de demanda de movilidad y de tráfico que permite elaborar matrices de viajes futuras (modelos de generación, distribución y reparto modal) y posteriormente obtener los tráficos en la red viaria (modelo de asignación de tráfico) y se encarga también del cálculo de consumo y
emisiones asociados a la movilidad en vehículo privado. Dentro del sistema EVALUAMET, se han integrado los modelos de distribución de viajes y de asignación de tráfico de SIMCAT, proporcionándole la información de tráfico, consumo y emisiones necesaria para la evaluación de los impactos ambientales producidos por la implementación de nuevas infraestructuras viarias y de grandes proyectos urbanísticos. Asimismo, el SIMCAT proporciona las matrices de tiempo en hora punta que alimenta el sub-modelo Demógraf-Econógraf.
L’objectiu del present document és presentar el Sistema de Modelització per l’Avaluació de Polítiques Territorials de Catalunya (SIMCAT). SIMCAT inclou un model de previsió de demanda de mobilitat i de tràfic que permet elaborar matrius de viatges futurs (models de generació, distribució i repartiment modal) i s’encarrega també del càlcul de consum i emissions associats a la mobilitat en vehicle privat. Dins el sistema EVALUAMET, s’han integrat els models de distribució de viatges i d’assignació de tràfic de SIMCAT, proporcionant-li la informació de tràfic, consum i emissions necessària per l’avaluació dels impactes ambientals produïts per la implementació de noves infraestructures viàries i de grans projectes urbanístics. Així mateix, el SIMCAT proporciona les matrius de temps en hora punta que alimenta el sub-model Demógraf-Econógraf.
The purpose of this paper is to present the Information System and Modelization for the Evaluation of Territorial Policies of Catalonia (SIMCAT). SIMCAT includes a model for forecasting demand for mobility and traffic that allows to develop future travel matrices (models of generation, distribution and modal share) and then to obtain traffic on the road network (traffic assignment model), being also in charge of calculating consumption and emissions associated with the use of private cars. Within EVALUAMET system, have been integrated models of trip distribution and traffic assignment SIMCAT, providing traffic information, consumption and emissions needed for the evaluation of environmental impacts caused by the implementation of new road infrastructure and major urban projects. SIMCAT also provides time matrices at rush hours supplying information to the Econógraf-Demógraf sub-model.
Transcripción de la clausura del seminario Evalúamet
Authors: Palacio Gabriel A. 
Published: December 2017

Transcripción de la intervención de Gabriel A. Palacio, Responsable de Aplicación de las Directrices Territoriales del Departamento de Territorio y Sostenibilidad de la Generalidad de Cataluña, en la clausura del Seminario de transferencia y difusión de EvalúaMET, modelo de evaluación de la eficiencia energética y ambiental, la movilidad y la estructura de usos del suelo para la Región Metropolitana de Barcelona, desarrollado en Barcelona el 21 de junio de 2012
Transcripció de la intervenció de Gabriel A. Palacio, Responsable d'Aplicació de les Directrius Territorials del Departament de Territori i Sostenibilitat de la Generalitat de Catalunya, a la clausura del Seminari de transferència i difusió d'EVALÚAMET, model d'avaluació de l'eficiència energètica i ambiental, la mobilitat i l'estructura d'usos del sòl per la Regió Metropolitana de Barcelona, desenvolupat a Barcelona el 21 de juny de 2012.
Sustainable: the urban model based on high-density, high-rise and multiple, intensive land use: the case of Hong Kong
Authors: Siu Yu Lau Stephen , González Martínez Paula 
Published: December 2017

China is going through one of the most dramatic social and cultural transformations in its
history. In this speed change scenario, the never - questioned conventions in the western
architecture have been betrayed. Invention, reinterpretation sometimes even revolution, never
represent a step further as they did in the XXI century theoretical thinking.
To engage architectural thoughts with the booming economy could contribute to the definition of
a contemporary Chinese architecture, far from the generic city, in a society that has evolved
from pre-modernism to post-industrialism in a short period of time.
Through the analysis of Hong Kong, and a series of case studies, a conclusion to this scenario
is sought.
Xina està travessant una de les transformacions socials i culturals més dramàtiques de la seva història. En aquest escenari de canvi de velocitats, les convencions mai qüestionades en l'arquitectura occidental han estat traicionades. Invenció, reinterpretació, inclús a vegades revolució, no representen mai un pas endavant com ho van fer en el pensament teòric del segle XXI.

Acoplar els pensaments arquitectònics amb una economia florescent podria contribuir a la definició d'una arquitectura xina contemporània, lluny de la ciutat genèrica, en una societat que ha evolucionat des de la premodernitat al postindustrialisme en un període curt de temps.

A través de l'anàlisi de Hong Kong i una sèrie d'estudis de cas es busca una conclusió d'aquest escenari.
China está atravesando una de las transformaciones sociales y culturales más dramáticas de su historia. En este escenario de cambio de velocidades, las convenciones nunca cuestionadas en la arquitectura occidental han sido traicionadas. Invención, reinterpretación, incluso a veces revolución, no representan nunca un paso adelante como lo hicieron en el pensamiento teórico del siglo XXI.

Acoplar los pensamientos arquitectónicos con una economía floreciente podría contribuir a la definición de una arquitectura china contemporánea, lejos de la ciudad genérica, en una sociedad que ha evolucionado desde la pre modernidad al pos industrialismo en un período corto de tiempo.

A través del análisis de Hong Kong y una serie de estudios de caso, se busa una conclusión de este escenario.
Posibilidades de la rehabilitación acústica y aplicabilidad del DB-HR en las viviendas de protección oficial
Authors: Daumal Domènech Francesc de Paula , Massot Gil Elisenda , Piguillem Poch Núria 
Published: December 2017

Este articulo trata sobre la fase inicial del proyecto El DB-HR en las viviendas de protección oficial. En concreto consiste en el estudio de las distintas tipologías de Vivienda de Protección Oficial en relación a su posible adecuación a las nuevas normativas de aislamiento acústico entre propiedades distintas y entre espacios distintos de una misma vivienda, con especial relevancia en el ámbito del Documento Básico de Habitabilidad - Ruido, del Código Técnico de la Edificación en España (CTE, 2007).
Aquest article tracta sobre la fase inicial del projecte El DB-HR als habitatge de protecció oficial. En concret consisteix en l'estudi de les diferents tipologies d'Habitatge de Protecció Oficial en relació a la seva possible adequació a les noves normatives d'aïllament acústic entre propietats diferents i espais diferents d'un mateix habitatge, amb especial rellevància en l'àmbit del Document Bàsic d'Habitabilitat Soroll, del Codi Tècnic de l'Edificació a Espanya.
This article is about the initial stage of the DB-HR in Social Housing. In
particular, it focuses on the different typologies study of Social Buildings in
relation to its possible adequation to the new regulations regarding acoustic
isolation between different properties and between different spaces of the some
house, giving particular relevance to the DB-HR (Basic Document- Habitability-Noise, Technical Building Code, Spain).
Analytical Nanoscience and Nanotechnology
Authors: Trapiella‐Alfonso Laura , Llano‐Suárez Pablo , Fernández‐Argüelles María T. , Sanz‐Medel Alfredo , Costa‐Fernández José M. 
Published: December 2017

Abstract
Research in nanoscience and nanotechnology has widely developed to the extent that today there are a large variety of nanotools and nanomaterials providing exciting applications in most areas of Science and Technology. Particularly, the availability of materials and methods produced at the nanometer scale, with varied functionalization possibilities, has rendered them as very attractive materials for analytical chemistry applications.
Current (bio)analytical developments achieved by exploiting attractive properties of nanomaterials to design and apply them for (bio)analysis are here reviewed. Moreover, the great number of novel nanomaterials that are continuously produced require improved analytical methodologies specifically designed to enable the detection, quantification, and characterization of the nanomaterials (key information in quality control of the nanomaterials, to study their environmental behavior in toxicity studies or to improve the knowledge of their properties, thus making more effective their final use). An overview of this dual facet of the relationship between analytical chemistry and the nanoworld is presented here.
To conclude, a brief discussion about the use of nanomaterials in the development of novel improved analytical methodologies to characterize or detect nanomaterials, along with a short outlook on future directions of the continuously growing nanoworld‐related analytical applications, is also included.
Toxicological Analysis UsingDNAFragmentation
Authors: Basnakian Alexei G. , Braman Nicholas , Yin Xiaoyan , Kolomeichuk Sergey N. , Apostolov Eugene O. 
Published: December 2017

AbstractToxicological analysis relies on the measurement of cell death. DNA fragmentation is the preferential method in cell death assessment because it measures irreversible stage of cell death, and it is universal to all mechanisms of cell death. DNA fragmentation is provided by a group of nine cytotoxic DNases/endonucleases, cumulative activity of which is sufficient to eventually destroy all cellular DNAs to potentially reusable mononucleotides. Of all the methods for measuring DNA fragmentation, the terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay seems to be the best in satisfying the toxicology assessment because it is simple, quantitative, based on individual cell measurements, and is not destructive to the cells. The latter allows it to combine with quantitative immunocytochemistry and other histology and genetic techniques to perform mechanistic studies.
A π‐Conjugation Extended Viologen as a Two‐Electron Storage Anolyte for Total Organic Aqueous Redox Flow Batteries
Authors: Luo Jian , Hu Bo , Debruler Camden , Liu Tianbiao Leo 
Published: November 2017

AbstractExtending the conjugation of viologen by a planar thiazolo[5,4‐d]thiazole (TTz) framework and functionalizing the pyridinium with hydrophilic ammonium groups yielded a highly water‐soluble π‐conjugation extended viologen, 4,4′‐(thiazolo[5,4‐d]thiazole‐2,5‐diyl)bis(1‐(3‐(trimethylammonio)propyl)pyridin‐1‐ium) tetrachloride, [(NPr)2TTz]Cl4 , as a novel two‐electron storage anolyte for aqueous organic redox flow battery (AORFB) applications. Its physical and electrochemical properties were systematically investigated. Paired with 4‐trimethylammonium‐TEMPO (NMe‐TEMPO) as catholyte, [(NPr)2TTz]Cl4 enables a 1.44 V AORFB with a theoretical energy density of 53.7 Wh L−1. A demonstrated [(NPr)2TTz]Cl4/NMe‐TEMPO AORFB delivered an energy efficiency of 70 % and 99.97 % capacity retention per cycle.
Medicago truncatula: Genetic and Genomic Resources
Authors: Garmier Marie , Gentzbittel Laurent , Wen Jiangqi , Mysore Kirankumar S. , Ratet Pascal 
Published: December 2017

AbstractMedicago truncatula was chosen by the legume community, along with Lotus japonicus, as a model plant to study legume biology. Since then, numerous resources and tools have been developed for M. truncatula. These include, for example, its genome sequence, core ecotype collections, transformation/regeneration methods, extensive mutant collections, and a gene expression atlas. This review aims to describe the different genetic and genomic tools and resources currently available for M. truncatula. We also describe how these resources were generated and provide all the information necessary to access these resources and use them from a practical point of view. © 2017 by John Wiley & Sons, Inc.
BiBAC Modification and Stable Transfer into Maize (Zea mays) Hi‐II Immature Embryos via Agrobacterium‐Mediated Transformation
Authors: Cody Jon P. , Graham Nathaniel D. , Birchler James A. 
Published: December 2017

AbstractBinary Bacterial Artificial Chromosomes (BiBAC) are large insert cloning vectors that contain the necessary features required for Agrobacterium‐mediated transformation. However, the large size of BiBACs and low‐copy number in Escherichia coli (DH10B) and Agrobacterium tumefaciens make cloning experiments more difficult than other available binary vector systems. Therefore, a protocol that outlines preparation, modification, and transformation of high‐molecular weight (HMW) constructs is advantageous for researchers looking to use BiBACs in plant genomics research. This unit does not cover the cloning of HMW DNA into BiBAC vectors. Researchers looking to clone HMW DNA into BiBACs can refer to Zhang et al. (2012; doi: 10.1038/nprot.2011.456). © 2017 by John Wiley & Sons, Inc.
Statistically reinforced machine learning for nonlinear patterns and variable interactions
Authors: Ryo Masahiro , Rillig Matthias C. 
Published: December 2017

AbstractMost statistical models assume linearity and few variable interactions, even though real‐world ecological patterns often result from nonlinear and highly interactive processes. We here introduce a set of novel empirical modeling techniques which can address this mismatch: statistically reinforced machine learning. We demonstrate the behaviors of three techniques (conditional inference tree, model‐based tree, and permutation‐based random forest) by analyzing an artificially generated example dataset that contains patterns based on nonlinearity and variable interactions. The results show the potential of statistically reinforced machine learning algorithms to detect nonlinear relationships and higher‐order interactions. Estimation reliability for any technique, however, depended on sample size. The applications of statistically reinforced machine learning approaches would be particularly beneficial for investigating (1) novel patterns for which shapes cannot be assumed a priori, (2) higher‐order interactions which are often overlooked in parametric statistics, (3) context dependency where patterns change depending on other conditions, (4) significance and effect sizes of variables while taking nonlinearity and variable interactions into account, and (5) a hypothesis using parametric statistics after identifying patterns using statistically reinforced machine learning techniques.
Sampling effort and uncertainty in leaf litterfall mass and nutrient flux in northern hardwood forests
Authors: Yang Yang , Yanai Ruth D. , See Craig R. , Arthur Mary A. 
Published: December 2017

AbstractDesigns for litterfall sampling can be improved by understanding the sources of uncertainty in litterfall mass and nutrient concentration. We compared the coefficient of variation of leaf litterfall mass and nutrient concentrations (nitrogen, phosphorus, calcium, magnesium, and potassium) at different spatial scales and across years for six northern hardwood species from 23 stands in the White Mountains of New Hampshire, USA. Stands with steeper slopes (P = 0.01), higher elevations (P = 0.05), and more westerly aspect (P = 0.002) had higher interannual variation in litter mass, probably due to a litter trap design that allowed litter to blow into traps in windy years. The spatial variation of nutrient concentrations varied more across stands than within stands for all elements (P < 0.001). Phosphorus was the most spatially variable of all nutrients across stands (P < 0.001). Litter nutrient concentrations varied less from year to year than litter mass, but the magnitude of difference depended on the element and tree species. We compared the relative importance of variation in mass vs. concentration to estimates of nutrient flux by simulating different sampling intensities of one while holding the other constant. In this dataset, interannual variability of leaf litter mass contributed more to uncertainty in litterfall flux calculations than interannual variation in nutrient concentrations. Optimal sampling schemes will depend on the elements of interest and local factors affecting spatial and temporal variability.
Previous burns and topography limit and reinforce fire severity in a large wildfire
Authors: Harris Lucas , Taylor Alan H. 
Published: December 2017

AbstractIn fire‐prone forests, self‐reinforcing fire behavior may generate a mosaic of vegetation types and structures. In forests long subject to fire exclusion, such feedbacks may result in forest loss when surface and canopy fuel accumulations lead to unusually severe fires. We examined drivers of fire severity in one large (>1000 km2) wildfire in the western United States, the Rim Fire in the Sierra Nevada, California, and how it was influenced by severity of 21 previous fires to examine the influences on (1) the severity of the first fire since 1984 and (2) reburn severity. The random forest machine‐learning statistical model was used to predict satellite‐derived fire severity classes from geospatial datasets of fire history, topographic setting, weather, and vegetation type. Topography and inferred weather were the most important variables influencing the previous burn. Previous fire severity was the most important factor influencing reburn severity, and areas tended to reburn at the same severity class as the previous burn. However, areas reburned in <15 yr burned at lower severity than expected. Previous fire severity and Rim Fire severity were higher on ridges, at intermediate elevations (~750–1250 m), and on slopes <30°, indicating a consistent effect of topography on fire severity patterns in these forests. Areas burned with low severity prescribed fires burned at low severity again in the Rim Fire, and areas with long fire‐free periods burned at higher severity. This fire history effect suggests that prescribed burning was an effective management tool, leading to lower fire severity in the previous burns and the subsequent reburn. Our results show that self‐reinforcing fire behavior results mainly from effects of vegetation structure and fuels on fire severity and that this behavior is mediated by topographic setting and the time since last fire.
Integration of routine QA data into mega‐analysis may improve quality and sensitivity of multisite diffusion tensor imaging studies
Authors: Kochunov Peter , Dickie Erin W. , Viviano Joseph D. , Turner Jessica , Kingsley Peter B. , Jahanshad Neda , Thompson Paul M. , Ryan Meghann C. , Fieremans Els , Novikov Dmitry , Veraart Jelle , Hong Elliot L. , Malhotra Anil K. , Buchanan Robert W. , Chavez Sofia , Voineskos Aristotle N. 
Published: November 2017

AbstractA novel mega‐analytical approach that reduced methodological variance was evaluated using a multisite diffusion tensor imaging (DTI) fractional anisotropy (FA) data by comparing white matter integrity in people with schizophrenia to controls. Methodological variance was reduced through regression of variance captured from quality assurance (QA) and by using Marchenko–Pastur Principal Component Analysis (MP‐PCA) denoising. N = 192 (119 patients/73 controls) data sets were collected at three sites equipped with 3T MRI systems: GE MR750, GE HDx, and Siemens Trio. DTI protocol included five b = 0 and 60 diffusion‐sensitized gradient directions (b = 1,000 s/mm2). In‐house DTI QA protocol data was acquired weekly using a uniform phantom; factor analysis was used to distil into two orthogonal QA factors related to: SNR and FA. They were used as site‐specific covariates to perform mega‐analytic data aggregation. The effect size of patient‐control differences was compared to these reported by the enhancing neuro imaging genetics meta‐analysis (ENIGMA) consortium before and after regressing QA variance. Impact of MP‐PCA filtering was evaluated likewise. QA‐factors explained ∼3–4% variance in the whole‐brain average FA values per site. Regression of QA factors improved the effect size of schizophrenia on whole brain average FA values—from Cohen's d = .53 to .57—and improved the agreement between the regional pattern of FA differences observed in this study versus ENIGMA from r = .54 to .70. Application of MP‐PCA‐denoising further improved the agreement to r = .81. Regression of methodological variances captured by routine QA and advanced denoising that led to a better agreement with a large mega‐analytic study.