A Rational Expectations Model for Simulation and Policy Evaluation of the Spanish Economy

This paper describes a Rational Expectations Model of the Spanish economy, REMS, which is in the tradition of small open economy dynamic general equilibrium models, with a strongly microfounded system of equations. The model is built on standard elements, but incorporates some distinctive features to provide an accurate description of the Spanish economy. We contribute to the existing models of the Spanish economy by adding search and matching rigidities to a small open economy framework. Our model also incorporates habits in consumption and rule-of-thumb households. As Spain is a member of EMU, we model the interaction between a small open economy and monetary policy in a monetary union. The model is primarily constructed to serve as a simulation tool at the Spanish Ministry of Economic Affairs and Finance. As such, it provides a great deal of information regarding the transmission of policy shocks to economic outcomes. The paper describes the structure of the model in detail, as well as the estimation and calibration technique and some examples of simulations.general equilibrium, rigidities, policy simulations

The REMSDB Macroeconomic Database of The Spanish Economy

This paper presents a new macroeconomic database for the Spanish economy, REMSDB. The construction of this database has been oriented to conducting medium-term simulations for policy evaluation with the REMS model, a large Rational Expectations macroeconomic Model for Spain. The paper provides a detailed description of the data and documents its main statistical properties. The database is thought to be of major interest to related applications,whether strictly associated with the REMS model or, rather, with empirical macroeconomic studies.Spanish Data, Growth Data, Business Cycle Data, REMS

Effect of Progesterone, Cortisol and Dhea on the ITR of maedivisna virus transcripcional activity

Estudios previos sugieren que, al igual que en otras infecciones por retrovirus, las hormonas esteroideas serían capaces de dirigir la expresión del virus de Maedi-Visna (MVV) mediante la interacción con los Elementos de Respuesta a Hormona (HRE) de la región promotora/reguladora LTR (Repeticiones Largas Terminales) del genoma del provirus. El objetivo de este trabajo fue la evaluación del efecto del cortisol, progesterona y dehidroepiandrosterona (DHEA) sobre la capacidad transcripcional de la región LTR de MVV mediante ensayos de transfección en fibroblastos ovinos con plásmidos pAcGFP (que contiene el gen para la GFP, proteína verde fluorescente) en los que se había clonado la región U3-cap del LTR de distintas cepas de MVV. La actividad transcripcional del LTR se evaluó a través de la cuantificación de la expresión de la GFP por citometría de flujo con las distintas concentraciones de cada hormona tras 48 horas de incubación. En la mayoría de los ensayos se observó un claro efecto inhibitorio de la transcripción del LTR a elevadas concentraciones hormonales, disminuyendo el efecto a medida que se diluía la hormona, llegando incluso en el caso de cortisol y de DHEA a producirse un incremento de la expresión a partir de 10-7M. En general no se pudo asociar una diferente respuesta con el origen de la cepa estudiada lo que sugiere que no está relacionado con los distintos orígenes/tropismos de los virus. Estos datos sugieren la presencia de un sitio HRE capaz de responder a estimulación hormonal en el LTR de MVV.Previous studies suggest that steroid hormones may direct the expression of Maedi-Visna virus (MVV), as has been observed in other retroviral infections. This would be achieved through the promoter/regulator region of the LTR (long terminal repeats) of the proviral genome, which would contain hormone responsive elements (HRE). The aim of this study was to evaluate the effect of cortisol, progesterone and dehydroepiandrosterone (DHEA) on the transcriptional ability of the MVV LTR region. For this, sheep fibroblasts were transfected with pAcGFP plasmids (containing the gene for green fluorescent protein, GFP) in which the U3-cap region of the LTR of different strains of MVV had been cloned. Different concentrations of each hormone were added to transfected cells and the transcriptional activity of the LTR was evaluated after 48 hours of incubation by quantifying the expression of GFP by flow cytometry. A clear inhibitory effect of the transcriptional ability of the LTR was observed in most of the assays at high hormonal concentrations. This effect decreased with the increasing dilutions of the hormones, to the point that GFP expression was above baseline in cells transfected with several of the plasmids and treated with dilutions above 10-7M of cortisol and DHEA. In general terms, a different response could not be associated to the origin of the strain under study, suggesting that the effect of steroids is not related to the different origins/tropisms of the virus. These data suggest the presence of a hormone responsive element (HRE) in the MVV LTR able to respond to hormonal stimulation

Miro: A molecular switch at the center of mitochondrial regulation

The orchestration of mitochondria within the cell represents a critical aspect of cell biology. At the center of this process is the outer mitochondrial membrane protein, Miro. Miro coordinates diverse cellular processes by regulating connections between organelles and the cytoskeleton that range from mediating contacts between the endoplasmic reticulum and mitochondria to the regulation of both actin and microtubule motor proteins. Recently, a number of cell biological, biochemical, and protein structure studies have helped to characterize the myriad roles played by Miro. In addition to answering questions regarding Miro’s function, these studies have opened the door to new avenues in the study of Miro in the cell. This review will focus on summarizing recent findings for Miro’s structure, function, and activity while highlighting key questions that remain unanswered.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/155476/1/pro3839.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/155476/2/pro3839_am.pd

Fostering university-industry collaborations through university teaching

Unversity-industry links and their impact on innovation processes have been widely acknowledged. However, previous studies have mainly examined university-industry knowledge transfer activities from the perspective of the research and third stream missions. This paper goes a step further, analysing such processes from the perspective of the university’s teaching mission. More specifically, it explores how educational crowdsourcing platforms help bring universities and industry together to develop joint activities in undergraduate and graduate programmes. Nine platforms with different business models were examined. A qualitative exploratory approach was adopted to manually collect and analyse data from the platforms. This study identified three categories of educational crowdsourcing platforms based on their focus (education, crowdsourcing or networking). The analysis shows that, although these platforms have some shortcomings, they provide benefits to all stakeholders by facilitating experiential learning, promoting skills acquisition and encouraging the development of new ideas to meet industry needs.Peer ReviewedPostprint (author's final draft

Impact of Biomedical and Biopsychosocial Training Sessions on the Attitudes, Beliefs and Recommendations of Health Care Providers about Low Back Pain: A Randomised Clinical Trial

Impact of Biomedical and Biopsychosocial Training Sessions on the Attitudes, Beliefs and Recommendations of Health Care Providers about Low Back Pai

Espondilitis anquilopoyética en la Necrópolis tardorromana de Polisisto (Concentaina, Alicante)

X Congreso Nacional de Paleopatología. Univesidad Autónoma de Madrid, septiembre de 200

Estudio paleopatológico de un proceso osteolítico: posible quiste dérmico en un cráneo tardorromano

X Congreso Nacional de Paleopatología. Univesidad Autónoma de Madrid, septiembre de 200

Another beauty of analytical chemistry: chemical analysis of inorganic pigments of art and archaeological objects

[EN] This lecture text shows what fascinating tasks analytical chemists face in Art Conservation and Archaeology, and it is hoped that students reading it will realize that passions for science, arts or history are by no means mutually exclusive. This study describes the main analytical techniques used since the eighteenth century, and in particular, the instrumental techniques developed throughout the last century for analyzing pigments and inorganic materials, in general, which are found in cultural artefacts, such as artworks and archaeological remains. The lecture starts with a historical review on the use of analytical methods for the analysis of pigments from archaeological and art objects. Three different periods can be distinguished in the history of the application of the Analytical Chemistry in Archaeometrical and Art Conservation studies: (a) the "Formation'' period (eighteenth century1930), (b) the "Maturing'' period (1930-1970), and (c) the "Expansion'' period (1970-nowadays). A classification of analytical methods specifically established in the fields of Archaeometry and Conservation Science is also provided. After this, some sections are devoted to the description of a number of analytical techniques, which are most commonly used in routine analysis of pigments from cultural heritage. Each instrumental section gives the fundamentals of the instrumental technique, together with relevant analytical data and examples of applications.Financial support is gratefully acknowledged from Spanish ‘‘I+D+I MINECO’’ projects CTQ2011-28079-CO3-01 and CTQ2014-53736-C3-1-P supported by ERDEF funds.Domenech Carbo, MT.; Osete Cortina, L. (2016). 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Rev Conserv 4:39–51Montero Ruiz I, Garcia Heras M, López-Romero E (2007) Arqueometría: cambios y tendencias actuales. Trabajos de Prehistoria 64:23–40Fernandes Vieira G, Sias Coelho LJ (2011) Arqueometría: Mirada histórica de una ciencia en desarrollo. Revista CPC 13:107–133Rees-Jones SG (1990) Early experiments in pigment analysis. Stud Conserv 35:93–101Allen RO (1989) The role of the chemists in archaeological studies. In: Allen RO (ed) Archaeological chemistry IV. Advances in chemistry. American Chemical Society, Washington DC, pp 1–17Plesters J (1956) Cross-sections and chemical analysis of paint samples. Stud Conserv 2:110–157 and references thereinGilberg M (1987) Friedrich Rathgen: the father of modern archaeological conservation. J Am Inst Conserv 26:105–120Olin JS, Salmon ME, Olin CH (1969) Investigations of historical objects utilizing spectroscopy and other optical methods. Appl Optics 8:29–39Feller RL (1954) Dammar and mastic infrared analysis. 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In: Proceedings of the International School of Physics “Enrico Fermi”. IOS Press, Amsterdam, pp 407–432Doménech-Carbó A, Doménech-Carbó MT, Valle-Algarra FM, Domine ME, Osete-Cortina L (2013) On the dehydroindigo contribution to Maya Blue. J Mat Sci 48:7171–7183Lovric M, Scholz F (1997) A model for the propagation of a redox reaction through microcrystals. J Solid State Electrochem 1:108–113Fitzgerald AG, Storey BE, Fabian D (1993) Quantitative microbeam analysis. Scottish Universities Sumer School in Physics and Institute of Physics Publishing, BristolDoménech-Carbó A (2015) Dating: an analytical task. ChemTexts 1:5Mairinger F, Schreiner M (1982) New methods of chemical analysis-a tool for the conservator. Science and Technology in the service of conservation, IIC, London, pp 5–13Malissa H, Benedetti-Pichler AA (1958) Anorganische qualitative Mikroanalyse. Springer, New YorkTertian R, Claisse F (1982) Principles of quantitative X-ray fluorescence analysis. Heyden, LondonMantler M, Schreiner M (2000) X-ray fluorescence spectrometry in art and archaeology. X-Ray Spectrom 29:3–17Scholz F (2015) Voltammetric techniques of analysis: the essentials. ChemTexts 1:17Inzelt G (2014) Crossing the bridge between thermodynamics and electrochemistry. From the potential of the cell reaction to the electrode potential. ChemTexts 1:2Milchev A (2016) Nucleation phenomena in electrochemical systems: thermodynamic concepts. ChemTexts 2:2Milchev A (2016) Nucleation phenomena in electrochemical systems: kinetic models. ChemTexts 2:4Seeber R, Zanardi C, Inzelt G (2015) Links between electrochemical thermodynamics and kinetics. ChemTexts 1:18Feist M (2015) Thermal analysis: basics, applications, and benefit. ChemTexts 1:8Stoiber RE, Morse SA (1994) Crystal identification with the polarizing microscope. Springer, BerlinGoldstein JI, Newbury DE, Echlin P, Joy DC, Lyman CE, Echlin P, Lifshin E, Sawyer L, Michael JR (2003) Scanning electron microscopy and X-ray microanalysis. Plenum Press, New YorkDoménech-Carbó A, Doménech-Carbó MT, Más-Barberá X (2007) Identification of lead pigments in nanosamples from ancient paintings and polychromed sculptures using voltammetry of nanoparticles/atomic force microscopy. Talanta 71:1569–1579Reedy TJ, Reedy ChL (1988) Statistical analysis in art conservation research. The Getty Conservation Institute, Los AngelesEastaugh N, Walsh V, Chaplin T, Siddall R (2004) Pigment compendium, optical microscopy of historical pigments. Elsevier, OxfordFeller RL, Bayard M (1986) Terminology and procedures used in the systematic examination of pigment particles with polarizing microscope. In: Feller RL (ed) Artists’ pigment. A handbook of their history and characteristics, vol 1. National Gallery of Art, Washington, pp 285–298Feller RL (ed) (1986) Artists’ pigment. 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National Gallery of Art, Washington, pp 65–108Domenech-Carbó MT, de Agredos Vazquez, Pascual ML, Osete-Cortina L, Domenech A, Guasch-Ferré N, Manzanilla LR, Vidal C (2012) Characterization of Pre-hispanic cosmetics found in a burial of the ancient city of Teotihuacan (Mexico). J Archaeol Sci 39:1043–1062Mühlethaler B, Thissen J (1993) Smalt. In: Roy A (ed) Artists’ pigments. A handbook of their history and characteristics, vol 2. National Gallery of Art, Washington, pp 113–130Musumarra G, Fichera M (1998) Chemometrics and cultural heritage. Chemometr Intell Lab Syst 44:363–372Hochleitner B, Schreiner M, Drakopoulos M, Snigireva I, Snigirev A (2005) Analysis of paint layers by light microscopy, scanning electron microscopy and synchrotron induced X-ray micro-diffraction. In: Van Grieken R, Janssens K (eds) Cultural heritage conservation and environment impact assessment by non-destructive testing and micro-analysis. 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J Solid State Electrochem 2:367–377Doménech A, Doménech-Carbó MT, Gimeno-Adelantado JV, Bosch-Reig F, Saurí-Peris MC, Sánchez-Ramos S (2001) Electrochemical identification of iron oxide pigments (earths) from pictorial microsamples attached to graphite/polyester composite electrodes. Analyst 126:1764–1772Doménech A, Doménech-Carbó MT, Moya-Moreno MCM, Gimeno-Adelantado JV, Bosch-Reig F (2000) Identification of inorganic pigments from paintings and polychromed sculptures immobilized into polymer film electrodes by stripping differential pulse voltammetry. Anal Chim Acta 407:275–289Doménech-Carbó A, Doménech-Carbó MT, Valle-Algarra FM, Gimeno-Adelantado JV, Osete-Cortina L, Bosch-Reig F (2016) On-line database of voltammetric data of immobilized particles for identifying pigments and minerals in archaeometry, conservation and restoration (ELCHER database). Anal Chim Acta 927:1–12http://www.elcher.info (consulted: 1 July 2016)Scholz F, Doménech-Carbó A (2010) Special feature: electrochemistry for conservation science. J Solid State Electrochem 14Domenech-Carbó A, Domenech-Carbó MT, Edwards HGM (2007) Identification of earth pigment by hierarchical cluster applied to solid state voltammetry. Application to a severely damaged frescoes. Electroanalysis 19:1890–1900Domenech-Carbó A, Domenech-Carbó MT, Vázquez de Agredos-Pascual ML (2006) Dehydroindigo: a new piece into the Maya Blue puzzle from the voltammetry of microparticles approach. J Phys Chem B 110:6027–6039Doménech-Carbó A, Doménech-Carbó MT, Vázquez de Agredos-Pascual ML (2007) Chemometric study of Maya Blue from the voltammetry of microparticles approach. Anal Chem 79:2812–2821Doménech-Carbó A, Doménech-Carbó MT, Vázquez de Agredos-Pascual ML (2011) From Maya Blue to ‘Maya Yellow’: a connection between ancient nanostructured materials from the voltammetry of microparticles. Angew Chem Int Edit 50:5741–5744Doménech-Carbó A, Doménech-Carbó MT, Vidal-Lorenzo C, Vázquez de Agredos-Pascual ML (2012) Insights into the Maya Blue Technology: greenish pellets from the ancient city of La Blanca. Angew Chem Int Ed 51:700–703Doménech-Carbó A, Doménech-Carbó MT, Osete-Cortina L, Montoya N (2012) Application of solid-state electrochemistry techniques to polyfunctional organic-inorganic hybrid materials: the Maya Blue problem. Micropor Mesopor Mater 166:123–130Doménech-Carbó MT, Osete-Cortina L, Doménech-Carbó A, Vázquez de Agredos-Pascual ML, Vidal-Lorenzo C (2014) Identification of indigoid compounds present in archaeological Maya blue by pyrolysis-silylation-gas chromatography–mass spectrometry. J Anal Appl Pyrol 105:355–36

The Non-Canonical Wnt/PKC Pathway Regulates Mitochondrial Dynamics through Degradation of the Arm-Like Domain-Containing Protein Alex3

The regulation of mitochondrial dynamics is vital in complex cell types, such as neurons, that transport and localize mitochondria in high energy-demanding cell domains. The Armcx3 gene encodes a mitochondrial-targeted protein (Alex3) that contains several arm-like domains. In a previous study we showed that Alex3 protein regulates mitochondrial aggregation and trafficking. Here we studied the contribution of Wnt proteins to the mitochondrial aggregation and dynamics regulated by Alex3. Overexpression of Alex3 in HEK293 cells caused a marked aggregation of mitochondria, which was attenuated by treatment with several Wnts. We also found that this decrease was caused by Alex3 degradation induced by Wnts. While the Wnt canonical pathway did not alter the pattern of mitochondrial aggregation induced by Alex3, we observed that the Wnt/PKC non-canonical pathway regulated both mitochondrial aggregation and Alex3 protein levels, thereby rendering a mitochondrial phenotype and distribution similar to control patterns. Our data suggest that the Wnt pathway regulates mitochondrial distribution and dynamics through Alex3 protein degradation