Monitoring Regional Economies With Synthetic Indicators

Author(s):  
José Mondéjar-Jiménez

The way regional economies change is an increasingly evident concern in developed economies. To meet this need for quantitative analysis of the economic situation, the starting point is analysis of a series of simple indicators in order to learn about the regional economies. But this provides a view of the particular sector described by the indicator used, not an overall view of the economy. For this reason, it becomes necessary to prepare a synthetic regional indicator showing the growth of a particular region with the as little delay and error as possible. For this purpose, the basic economic indicators need to be chosen and the relevant information extracted from them, and they need to be aggregated in such a way as to produce a synthetic indicator summarizing the features common to them all. This study explains the main procedures and techniques for the preparation of traditional synthetic indicators, and their empirical application to the autonomous region of Castilla-La Mancha, Spain.

2019 ◽  
Vol 141 (9) ◽  
Author(s):  
J. M. Fernández Oro ◽  
J. González ◽  
R. Barrio Perotti ◽  
M. Galdo Vega

In this paper, a deterministic stress decomposition is applied over the numerical three-dimensional flow solution available for a single volute centrifugal pump. The numerical model has proven in previous publications its robustness to obtain the impeller to volute-tongue flow interaction, and it is now used as starting point for the current research. The main objective has been oriented toward a detailed analysis of the lack of uniformity in the flow that the volute tongue promotes on the blade-to-blade axisymmetric pattern. Through this analysis, the fluctuation field may be retrieved and main interaction sources have been pinpointed. The results obtained with the deterministic analysis become of paramount interest to understand the different flow features found in a typical centrifugal pump as a function of the flow rate. Moreover, this postprocessing tool provides an economic and easy procedure for designers to compare the different deterministic terms, also giving relevant information on the unresolved turbulence intensity scales. Complementarily, a way to model the turbulent effects in a systematic way is also presented, comparing their impact on the performance with respect to deterministic sources in a useful framework, that may be applied for similar kinds of pumps.


Author(s):  
Célia Talma Gonçalves ◽  
Rui Camacho ◽  
Eugénio Oliveira

Whenever new sequences of DNA or proteins have been decoded it is almost compulsory to look at similar sequences and papers describing those sequences in order to both collect relevant information concerning the function and activity of the new sequences and/or know what is known already about similar sequences. In current web sites and data bases of sequences there are, usually, a set of curated paper references linked to each sequence. Those links are a good starting point to look for relevant information related to a set of sequences. One way to implement such approach is to do a blast with the new decoded sequences, and collect similar sequences. Then one looks at the papers linked with the similar sequences. Most often the number of retrieved papers is small and one has to search large data bases for relevant papers. This paper proposes a process of generating a classifier based on the initially set of relevant papers. First, the authors collect similar sequences using an alignment algorithm like Blast. Then, the authors use the enlarges set of papers to construct a classifier. Finally a classifier is used to automatically enlarge the set of relevant papers by searching the MEDLINE using the automatically constructed classifier.


2021 ◽  
Author(s):  
Carlotta Valerio ◽  
Graciela Gómez Nicola ◽  
Rocío Aránzazu Baquero Noriega ◽  
Alberto Garrido ◽  
Lucia De Stefano

<p>Since 1970 the number of freshwater species has suffered a decline of 83% worldwide and anthropic activities are considered to be major drivers of ecosystems degradation. Linking the ecological response to the multiple anthropogenic stressors acting in the system is essential to effectively design policy measures to restore riverine ecosystems. However, obtaining quantitative links between stressors and ecological status is still challenging, given the non-linearity of the ecosystem response and the need to consider multiple factors at play. This study applies machine learning techniques to explore the relationships between anthropogenic pressures and the composition of fish communities in the river basins of Castilla-La Mancha, a region covering nearly 79 500 km² in central Spain. During the past two decades, this region has experienced an alarming decline of the conservation status of native fish species. The starting point for the analysis is a 10x10 km grid that defines for each cell the presence or absence of several fish species before and after 2001. This database was used to characterize the evolution of several metrics of fish species richness over time, accounting for the species origin (native or alien), species features (e.g. pollution tolerance) and habitat preferences. Random Forest and Gradient Boosted Regression Trees algorithms were used to relate the resulting metrics to the stressor variables describing the anthropogenic pressures acting in the rivers, such as urban wastewater discharges, land use cover, hydro-morphological degradation and the alteration of the river flow regime. The study provides new, quantitative insights into pressures-ecosystem relationships in rivers and reveals the main factors that lead to the decline of fish richness in Castilla-La Mancha, which could help inform environmental policy initiatives.</p>


2015 ◽  
pp. 1822-1839
Author(s):  
Tami Seifert

As the disparity between educational standards and reality outside educational institutions is increasing, alternative learning infrastructure are challenging traditional modes of teaching. This study was based on an experiment with middle school pupils, pre-service teachers and college lecturers. The aim of this study was to examine the extent to which the use of smartphones for teaching affects pupils' motivation. Moreover, it explored pre-service teachers' and lecturers' attitudes toward the implementation of smartphones in education: the types of usage they implement and suggest and whether they think that smartphones should be implemented in academia as well as in schools at all. The study was conducted by a qualitative and quantitative analysis. Relevant information was collected based on the questionnaires, correspondence, personal journals and interviews. There was a difference in the level of technical difficulties various groups face, the personal use each generation performs as well as their attitude toward smartphone implementation.


Author(s):  
Rolf Ulrich ◽  
Laura Prislan ◽  
Jeff Miller

Abstract The Eriksen flanker task is a traditional conflict paradigm for studying the influence of task-irrelevant information on the processing of task-relevant information. In this task, participants are asked to respond to a visual target item (e.g., a letter) that is flanked by task-irrelevant items (e.g., also letters). Responses are typically faster and more accurate when the task-irrelevant information is response-congruent with the visual target than when it is incongruent. Several researchers have attributed the starting point of this flanker effect to poor selective filtering at a perceptual level (e.g., spotlight models), which subsequently produces response competition at post-perceptual stages. The present study examined whether a flanker-like effect could also be established within a bimodal analog of the flanker task with auditory irrelevant letters and visual target letters, which must be processed along different processing routes. The results of two experiments revealed that a flanker-like effect is also present with bimodal stimuli. In contrast to the unimodal flanker task, however, the effect only emerged when flankers and targets shared the same letter name, but not when they were different letters mapped onto the same response. We conclude that the auditory flankers can influence the time needed to recognize visual targets but do not directly activate their associated responses.


1999 ◽  
Vol 5 (S2) ◽  
pp. 592-593
Author(s):  
C. Fournier ◽  
C. Merlet ◽  
P.F. Staub ◽  
O. Dugne

Analysis parameters for an electron microprobe are numerous, and the accuracy of the quantitative analysis is very sensitive to the selection of these experimental conditions. The expert system intends to optimize the choice of each analysis parameter as well as to automate the phases of a quantitative analysis on all kinds of materials. To summarise, the aim of the expert system is to simplify the procedures, improve the accuracy of results and control the analysis time. The figure 1 illustrates the various stages of the expert system.The starting point of the expert system is an interactive questionnaire concerning the sample,( ie, what is already known), and about the expectations on the analysis,( ie, the accuracy of the results and/or the duration of the analysis required by the operator). Then, the expert system performs a semi-quantitative analysis on the sample. Based on the acquisition of a wavelength qualitative spectrum, this method is a way to obtain the sample composition in a short time with the advantages of the WDS system, and with a reasonable accuracy.


2014 ◽  
Vol 21 (1) ◽  
pp. 46-61 ◽  
Author(s):  
D. Steven White ◽  
Angappa Gunasekaran ◽  
Matthew H. Roy

Purpose – Creativity is becoming one of the most powerful sources of competitive advantage in the modern economy. As more developed economies progress from the tertiary (or service-based) level to the quaternary (or knowledge-based) level, successful nurturing of creativity and innovation provides competitive advantages for industries and countries alike. The paper aims to discuss these issues. Design/methodology/approach – Based on the extant literature, a set of performance measures and metrics for the creative economy is proposed. Findings – A conceptual framework for developing a creative economy is presented, and measures and metrics to be used as a managerial tool for controlling performance in creative economies are provided. Research limitations/implications – Although the measures and metrics presented are based on the best available research, they are not empirically tested. Thus, the measures and metrics must be considered speculative and descriptive research is needed to validate their utility. Practical implications – Utilizing the performance measures and metrics identified in this research provides policy and decision makers with a foundation on which to build their local or regional economies. Originality/value – The research as presented contributes to the literature on the creative economy and is unique in its contribution to said literature.


2016 ◽  
Vol 24 ◽  
pp. 123 ◽  
Author(s):  
Noelia Fernández-González

This article aims to introduce the concept of enclosure as a category to think about privatization policies in education. The concept of enclosure refers to the process by which communal land rights and uses were removed between the 14th and 18th centuries, making possible the passage from feudalism to capitalism. Nowadays, a discourse named as a “commons paradigm” (Bollier, 2007) exposes privatization dynamics as a contemporary movement of enclosure. This paradigm stablishes an analogy between the enclosures that made possible the primitive accumulation and the contemporary dynamics of privatization. In this text, privatization policies in education are analyzed as a movement of enclosure in the school. The text is divided into four sections. Firstly, it analyzes the state-reform process in the current context of globalization and the blurring of boundaries between the public and the private. Secondly, it focuses in the “commons paradigm”, followed by its critics in the next section. The fourth section reflects on the enclosure of the school taking as starting point previous research about privatization policies introduced in Spain and particularly in the Autonomous Region of Madrid.


2019 ◽  
Vol 11 (10) ◽  
pp. 14
Author(s):  
Silvia Andrés González-Moralejo ◽  
Juan Francisco López Miquel

21st century is characterised by a steady growth in the global demand for basic foodstuffs. This paper reviews the drivers of this growth, through a descriptive analysis of the main literature on the subject, in order to synthesize the most relevant information generated by researchers and position the current state of the issue. The results of the analysis suggest that emerging economies have taken over in the increase of food imports; this is due to the potential of countries such as China, India, Brazil and Russia, which have become propellers of the global economy. From the developing countries, the increase in population and income are the driving forces behind the dynamism of world food demand, whose direct consequences are the increase in per capita consumption, the acceleration of the urbanization process in these regions and the increase in the consumption of products with greater added value. In developed economies, increases in per capita income do not translate into increases in the demand for food; rather, its role with respect to global demand is to promote it as they deepen the production of biofuels, the liberalization of the agricultural sector and the signing of trade agreements. Finally, the work concludes by warning about the uncertainties that surround the demand for food imports, including the crucial role played by climate change.


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