Rhodium and copper 6-methylpicolinate complexes. Structural diversity and supramolecular interaction study

Seven new coordination compounds with 6-methylpicolinic acid (6-HMepic) and rhodium(III) or copper(II) of formula [Rh(6-Mepic)3] (1), [Rh(6-Mepic)2(H2O)Cl] (2), [Rh(6-HMepic)(6-Mepic)Cl2]·3.5(H2O) (3), [Cu(6-Mepic)2(H2O)]·H2O (4), [Cu(6-Mepic)2]n, (5), [Cu(6-Mepic)(6-HMepic)I] (6) and [Cu(6-Mepic)(6-HMepic)Cl] (7) have been obtained. Their syntheses have been rationalized, and their structural and supramolecular characteristics have been studied and compared with other similar rhodium and copper picolinate complexes previously reported, in order to stablish structural correlations and analogies. The electrical properties of coordination polymer [Cu(6-Mepic)2]n (5) have been also analyzed and it has been found that it shows a moderated electrical transport along the chain.We thank the financial support from the Spanish Ministerio de Economía y Competitividad (MAT2013-46502-C2-2P and MAT2013-46753-C2-1P). Also the scientific computing center (CCC) of the Autonoma University of Madrid for their tim

Quantitative pharmacologic MRI: Mapping the cerebral blood volume response to cocaine in dopamine transporter knockout mice

The use of pharmacologic MRI (phMRI) in mouse models of brain disorders allows noninvasive in vivo assessment of drug-modulated local cerebral blood volume changes (ΔCBV) as one correlate of neuronal and neurovascular activities. In this report, we employed CBV-weighted phMRI to compare cocaine-modulated neuronal activity in dopamine transporter (DAT) knockout (KO) and wild-typemice. Cocaine acts to block the dopamine, norepinephrine, and serotonin transporters (DAT, NET, and SERT) that clear their respective neurotransmitters from the synapses, helping to terminate cognate neurotransmission. Cocaine consistently reduced CBV, with a similar pattern of regional ΔCBV in brain structures involved inmediating reward in both DAT genotypes. The largest effects (−20% to −30% ΔCBV) were seen in the nucleus accumbens and several cortical regions. Decreasing response amplitudes to cocaine were noted in more posterior components of the cortico-mesolimbic circuit. DAT KO mice had significantly attenuated ΔCBV amplitudes, shortened times to peak response, and reduced response duration in most regions. This study demonstrates that DAT knockout does not abolish the phMRI responses to cocaine, suggesting that adaptations to loss of DAT and/or retained cocaine activity in other monoamine neurotransmitter systems underlie these responses in DAT KO mice

La cuota de mercado como indicador de competitividad en los destinos turísticos: sentido y limitaciones

The market share is the most widely used indicator in the analysis of competitiveness in trade of goods and services. However, their use in tourism is subject to a widespread controversy, especially in those cases where goes together to the territorial analysis. This is because the goals of maximization of this variable by policy-makers, can lead to growth policies that jeopardize the economic and environmental sustainability of a resource-limited destinations. This paper discusses the use, validity and limitations of the market share as an indicator of competitiveness in tourism.La cuota de mercado es el indicador más difundido en el análisis de la competitividad empresarial para todo tipo de bienes y servicios. Sin embargo, su uso en turismo está sometido a una amplia controversia, especialmente cuando el objeto de estudio es la competitividad de los destinos turísticos. Ello es debido a que objetivos de maximización de esta variable en la planificación, pueden conllevar la implementación de políticas de crecimiento comprometedoras de la sostenibilidad económica y ambiental de los citados destinos. Teniendo en cuenta estas consideraciones, en el presente trabajo se discute el uso, validez y limitaciones de la cuota de mercado como indicador de la competitividad de los destinos turísticos

Reversible stimulus-responsive Cu(i) iodide pyridine coordination polymer

We present a structurally flexible copper–iodide–pyridine-based coordination polymer showing drastic variations in its electrical conductivity driven by temperature and sorption of acetic acid molecules. The dramatic effect on the electrical conductivity enables the fabrication of a simple and robust device for gas detection. X-ray diffraction studies and DFT calculations allow the rationalisation of these observations.We are thankful for support from MICINN (MAT2013-46753-C2-1-P, MAT2013-46502-C2-1/2-P and CTQ2011-26507), Eusko Jaurlaritza (S-PE13UN016) and Generalitat Valenciana PrometeoII/2014/076

Crowd Monitoring in Smart Destinations Based on GDPR-Ready Opportunistic RF Scanning and Classification of WiFi Devices to Identify and Classify Visitors’ Origins

Crowd monitoring was an essential measure to deal with over-tourism problems in urban destinations in the pre-COVID era. It will play a crucial role in the pandemic scenario when restarting tourism and making destinations safer. Notably, a Destination Management Organisation (DMO) of a smart destination needs to deploy a technological layer for crowd monitoring that allows data gathering in order to count visitors and distinguish them from residents. The correct identification of visitors versus residents by a DMO, while privacy rights (e.g., Regulation EU 2016/679, also known as GDPR) are ensured, is an ongoing problem that has not been fully solved. In this paper, we describe a novel approach to gathering crowd data by processing (i) massive scanning of WiFi access points of the smart destination to find SSIDs (Service Set Identifier), as well as (ii) the exposed Preferred Network List (PNL) containing the SSIDs of WiFi access points to which WiFi-enabled mobile devices are likely to connect. These data enable us to provide the number of visitors and residents of a crowd at a given point of interest of a tourism destination. A pilot study has been conducted in the city of Alcoi (Spain), comparing data from our approach with data provided by manually filled surveys from the Alcoi Tourist Info office, with an average accuracy of 83%, thus showing the feasibility of our policy to enrich the information system of a smart destination.This research was carried out within the research Project Alcoi Tourist Lab framework, co-funded by the Alcoi City Council & the Valencian Innovation Agency. The research was also partially funded by project UAPOSTCOVID19-10 from the University of Alicante. Finally, this research was partly supported by the EU CEF project GreenMov, CARM HORECOV-21 project (https://horecovid.com/ (accessed on 12 January 2022)). is financed through the Call for Public Aid destined to finance the Strategic projects contemplated in the Research and Innovation Strategy for Smart Specialization - RIS3MUR Strategy by the Autonomous Community of the Region of Murcia, through the Ministry of Economic Development, Tourism and Employment within the framework of the FEDER Region of Murcia Operational Program 2014–2020 within the framework Thematic Objective 1. Strengthen research, technological development and innovation by 80% and with CARM’s own funds in 20%, and finally the EU project H2020 NIoVE (833742)

Feasible combinatorial matrix theory

We show that the well-known Konig's Min-Max Theorem (KMM), a fundamental result in combinatorial matrix theory, can be proven in the first order theory \LA with induction restricted to $\Sigma_1^B$ formulas. This is an improvement over the standard textbook proof of KMM which requires $\Pi_2^B$ induction, and hence does not yield feasible proofs --- while our new approach does. \LA is a weak theory that essentially captures the ring properties of matrices; however, equipped with $\Sigma_1^B$ induction \LA is capable of proving KMM, and a host of other combinatorial properties such as Menger's, Hall's and Dilworth's Theorems. Therefore, our result formalizes Min-Max type of reasoning within a feasible framework

The asymmetric impact of air transport on economic growth in Spain: fresh evidence from the tourism-led growth hypothesis.

The tourism sector has emerged as an essential driver for economic growth strategies during the last decades. An asymmetric long-run effect of air transport on economic growth is validated assuming a process of social globalization in Spain between 1970 and 2015. To achieve the study’s objective, the recent asymmetric autoregressive distributed lag methodology framework advanced by Shin, Yu, and Greenwood-Nimmo (2014) is applied. For determining the causality direction, this methodology is applied in conjunction with the non-parametric causality test proposed by Diks and Panchenko (2006). The current study also accounts for the effects of renewable energy use and urbanization process over economic growth. Empirical results showed that air transport, urbanization process and social globalization exert positive and significant implications over economic growth, while renewable energy use reduces economic growth, as a consequence of an energy mix sustained by fossil sources. Based on these outcomes several policy recommendations were offered in the concluding section