Interrelated diversification and internationalization: critical drives of global industries

This paper discusses the influence of two economic trends that arise as a consequence of globalisation: the industrial interrelated diversification process through related varieties and the internationalisation of both production and innovation. These two trends are evidenced in two industries located in the Basque Country region, the former furniture industry and the wind energy sector. Our study reveals how companies and territories that are in condition to pick up the opportunities derived from the above trends are also the ones that may guarantee their sustainability in the marketplace. In contrast, the firms that respond to these challenges by merely targeting their traditional and/or local markets might be saving their short-run competitiveness while jeopardizing their future prospect

Using Satellite Data To Improve Land Value Estimations In Bolivia

Precise land valuation is necessary for an efficient allocation of resources at the private level, and territorial planning and provision of public good at the government level. This information can be obtained from real data transactions in limited areas where they occurred, leaving the rest of the land valuation depending on precise estimation models. These estimation models may use sold land characteristics to forecast the value of land with similar characteristics, by using existing data (i.e. returns on land, productivity, surface, soil maps, precipitation data, land use constraints by law, etc.). In many low and middle-income countries this data is scarce, limiting the possibility of developing these models. This information gap may be filled using satellite data. This study uses average biomass production estimations based on satellite data as a proxy for fertility. By using biomass production estimates for Bolivia over a period of 6 years, together with administrative land transaction data and geographical maps including precipitation, average temperature, slope, distance to closest road, to closed local and national markets, we are able to significantly improve previous land price models. This improvement allowed us to develop a land price index to inform farmers about current price trends and expected sale price for their own land

COPD classification models and mortality prediction capacity

Our aim was to assess the impact of comorbidities on existing COPD prognosis scores. Patients and methods: A total of 543 patients with COPD (FEV1 < 80% and FEV1/ FVC <70%) were included between January 2003 and January 2004. Patients were stable for at least 6 weeks before inclusion and were followed for 5 years without any intervention by the research team. Comorbidities and causes of death were established from medical reports or information from primary care medical records. The GOLD system and the body mass index, obstruction, dyspnea and exercise (BODE) index were used for COPD classification. Patients were also classified into four clusters depending on the respiratory disease and comorbidities. Cluster analysis was performed by combining multiple correspondence analyses and automatic classification. Receiver operating characteristic curves and the area under the curve (AUC) were calculated for each model, and the DeLong test was used to evaluate differences between AUCs. Improvement in prediction ability was analyzed by the DeLong test, category-free net reclassification improvement and the integrated discrimination index. Results: Among the 543 patients enrolled, 521 (96%) were male, with a mean age of 68 years, mean body mass index 28.3 and mean FEV1% 55%. A total of 167 patients died during the study follow-up. Comorbidities were prevalent in our cohort, with a mean Charlson index of 2.4. The most prevalent comorbidities were hypertension, diabetes mellitus and cardiovascular diseases. On comparing the BODE index, GOLDABCD, GOLD2017 and cluster analysis for pre-dicting mortality, cluster system was found to be superior compared with GOLD2017 (0.654 vs 0.722, P=0.006), without significant differences between other classification models. When cardiovascular comorbidities and chronic renal failure were added to the existing scores, their prognostic capacity was statistically superior (P<0.001). Conclusion: Comorbidities should be taken into account in COPD management scores due to their prevalence and impact on mortalit

The opportunity for smart city projects at municipal scale: Implementing a positive energy district in Zorrozaurre

The urgency of climate change is demanding new urban energy transition processes that will be accelerated by the implementation of innovative urban solutions. This paper proposes a three-step methodology to encompass the energy transition in cities. Firstly, the design of urban spaces in accordance to Positive Energy District (PED) concept is defining a very ambitious objective that will lead the development and implementation of innovative urban approaches. Secondly, the implementation of Urban City Labs is proposed for testing and demonstrating urban innovations at real scale as reasonable approach for consolidated urban landscapes. Thirdly, energy transition is demanding new governance mechanisms where top-down and bottom-up perspectives are continually combined and harmonized. ATELIER H2020 is accelerating the demonstration of this methodology at the recently defined PED in Zorrozaurre (Bilbao, Basque Country)

Integrating socio-spatial preference heterogeneity into the assessment of the aesthetic quality of a Mediterranean agricultural landscape

Assessing ecosystem services associated with agricultural landscapes is of growing interest to the research and policy/practice communities. One particularly challenging aspect to understand is the value of the aesthetic quality of such landscapes, even though this is one of the main contributions that agricultural landscapes make to cultural ecosystem service provision. Indeed, as increasing demands are placed on agricultural landscapes for food production, infrastructure development and urbanisation, aesthetic qualities can be severely affected, particularly if those landscapes are used for traditional agricultural practices. Here we assess the aesthetic quality of an agricultural landscape by integrating social preferences heterogeneity and spatial aspects of the provision, combining subjective and objective perspectives. We work in landscapes dominated by irrigated flowering fruit trees in Cieza, in south-east Spain as it is an excellent example of a semi-arid Mediterranean agroecosystem that delivers multiple ecosystem services, including aesthetic quality, in addition to food production. Using GIS tools and a choice experiment, we assess the social utility function for this landscape, and demonstrate social preferences heterogeneity for demand for the aesthetic qualities of the landscape. Latent class modelling distinguished three populations, with the majority preferring diversified agricultural landscapes and management policies based on a more natural-looking agricultural landscape. These results provide agroecosystem managers with an additional vision focused on enhancing the combination of the most diverse and natural-looking elements in the landscape in order to underpin the delivery of cultural ecosystem services that also increase social well-being

Model study of adsorbed metallic quantum dots: Na on Cu(111)

We model electronic properties of the second monolayer Na adatom islands (quantum dots) on the Cu(111) surface covered homogeneously by the first Na monolayer. An axially-symmetric three-dimensional jellium model, taking into account the effects due to the first Na monolayer and the Cu substrate, has been developed. The electronic structure is solved within the local-density approximation of the density-functional theory using a real-space multigrid method. The model enables the study of systems consisting of thousands of Na-atoms. The results for the local density of states are compared with differential conductance ($dI/dV$) spectra and constant current topographs from Scanning Tunneling Microscopy.Comment: 10 pages, 8 figures. For better quality figures, download http://www.fyslab.hut.fi/~tto/cylart1.pd

Diversity, structure and spatial distribution of megabenthic communities in Cap de Creus continental shelf and submarine canyon (NW Mediterranean)

The continental shelf and submarine canyon off Cap de Creus (NW Mediterranean) were declared a Site of Community Importance (SCI) within the Natura 2000 Network in 2014. Implementing an effective management plan to preserve its biological diversity and monitor its evolution through time requires a detailed character ization of its benthic ecosystem. Based on 60 underwater video transects performed between 2007 and 2013 (before the declaration of the SCI), we thoroughly describe the composition and structure of the main mega benthic communities dwelling from the shelf down to 400 m depth inside the submarine canyon. We then mapped the spatial distribution of the benthic communities using the Random Forest algorithm, which incor porated geomorphological and oceanographic layers as predictors, as well as the intensity of the bottom-trawling fishing fleet. Although the study area has historically been exposed to commercial fishing practices, it still holds a rich benthic ecosystem with over 165 different invertebrate (morpho)species of the megafauna identified in the video footage, which form up to 9 distinct megabenthic communities. The continental shelf is home to coral gardens of the sea fan Eunicella cavolini, sea pen and soft coral assemblages, dense beds of the crinoid Leptometra phalangium, diverse sponge grounds and massive aggregations of the brittle star Ophiothrix fragilis. The submarine canyon off Cap de Creus is characterized by a cold-water coral community dominated by the scleractinian coral Madrepora oculata, found in association with several invertebrate species including oysters, brachiopods and a variety of sponge species, as well as by a community dominated by cerianthids and sea urchins, mostly in sedimentary areas. The benthic communities identified in the area were then compared with habitats/biocenoses described in reference habitat classification systems that consider circalittoral and bathyal environments of the Mediterranean. The complex environmental setting characteristic of the marine area off Cap de Creus likely produces the optimal conditions for communities dominated by suspension- and filter-feeding species to develop. The uniqueness of this ecosystem and the anthropogenic pressures that it faces should prompt the development of effective management actions to ensure the long-term conservation of the benthic fauna representative of this marine area3,26

Genomic and functional regulation of TRIB1 contributes to prostate cancer pathogenesis

Prostate cancer is the most frequent malignancy in European men and the second worldwide. One of the major oncogenic events in this disease includes amplification of the transcription factor cMYC. Amplification of this oncogene in chromosome 8q24 occurs concomitantly with the copy number increase in a subset of neighboring genes and regulatory elements, but their contribution to disease pathogenesis is poorly understood. Here we show that TRIB1 is among the most robustly upregulated coding genes within the 8q24 amplicon in prostate cancer. Moreover, we demonstrate that TRIB1 amplification and overexpression are frequent in this tumor type. Importantly, we find that, parallel to its amplification, TRIB1 transcription is controlled by cMYC. Mouse modeling and functional analysis revealed that aberrant TRIB1 expression is causal to prostate cancer pathogenesis. In sum, we provide unprecedented evidence for the regulation and function of TRIB1 in prostate cancer