Privatization in Colombia: a plant performance analysis

El artículo describe el programa de privatización en el sector real de la economía Colombiana durante los años noventa y ubica esta política en un contexto de desregulación de mercados y promoción de la inversión privada en la oferta de infraestructura publica y servicios públicos domiciliarios. El articulo evalúa el programa de privatización en los sectores manufacturero y de generación de energía eléctrica. Se hacen mediciones ex - post y análisis econométrico del desempeño de las firmas privatizadas. En el sector manufacturero la muestra analizada esta compuesta por 30 firmas manufactureras de gran tamaño, donde el Instituto de Fomento Industrial era socio fundador. Los principales resultados sugieren que estas firmas mantuvieron un comportamiento pro - cíclico relativo a su principal competidor privado y desestimaron planes drásticos de reestructuración operativa. Para el grupo de firmas de generación de energía el articulo estudia el impacto de la reforma regulatoria en el proceso de entrada al mercado, estructura de propiedad, competencia de mercado y eficiencia productiva. La medición de eficiencia productiva usa la técnica de Data Envelope Análisis para 33 plantas que representan el 85% de la capacidad instalada en la generación térmica de energía eléctrica. La muestra esta compuesta por plantas que estaban en funcionamiento antes de la reforma y las entrantes que comenzaron su operación comercial después de la reforma. Los resultados sugieren que los niveles de evidencia en la generación térmica a mejorado después de la reforma y que la política regulatoria ha tenido un efecto positivo en la eficiencia productiva.

Inovação da gestão escolar para a qualidade : o caso da educação pública municipal de Teresina - PIAUI

RESUMO: A qualidade da educação está sendo impactada pela falta de qualidade da gestão. Assim, apesar de saber-se que a qualidade da educação não está unicamente vinculada à qualidade da gestão escolar, já que o processo ensino-aprendizagem é permeado por uma grande diversidade de fatores, tais como, as práticas docentes, a presença da família e os recursos disponíveis, a gestão constitui-se em um dos fatores primordiais para a compreensão do desempenho da escola. A discussão acerca da qualidade da gestão escolar se faz necessária, portanto, no momento em que a educação brasileira clama pela sua qualidade. Acredita-se que entender os aspectos que envolvem a gestão escolar hoje existente no Brasil, mais especificamente no Piauí e mais diretamente no município de Teresina e a forma com que as escolas estão sendo efetivamente gerenciadas, poderá ajudar a compreender o fenômeno educacional e a melhoria da qualidade da formação promovida nas escolas brasileiras. Deste modo, tem-se como objetivo do estudo analisar como uma inovação da gestão escolar, de forma estratégica, aplicada nas escolas municipais de Teresina pode impactar na qualidade da Educação Básica municipal. Desta forma, o que se propõe, é estabelecer através da pesquisa de campo pontos positivos e negativos quanto ao modelo da gestão estratégica do ensino municipal, que possa ser um caminho para um modelo único de qualidade, na gestão da educação do Estado do Piauí. Concluiu-se que se faz necessário que o gestor da educação pública tenha o compromisso social de fazer da instituição que atua um espaço de transformação, para criar uma sociedade mais justa, mais humana e inclusiva, promovendo a liberdade, a autonomia e a melhoria da qualidade. ABSTRACT: The quality of education is being impacted by the lack of quality management. Thus, despite knowing that the quality of education is not solely linked to the quality of school management, as the teaching-learning process is permeated by a variety of factors, such as the teaching practices, the presence of family and available resources, the management is on a primary factor for the understanding of school performance. The discussion about the quality of school management is necessary, therefore, when it calls for the Brazilian education quality. It is believed that understanding the issues involving the school management that exists today in Brazil, specifically in Piauí and more directly in the city of Teresina and the way schools are being managed effectively, can help to understand the phenomenon and the improvement of educational quality promoted training in Brazilian schools. Thus, it has been the goal of the study to analyze how an innovation in school management, strategically applied in public schools of Teresina can impact the quality of basic education hall. Thus, what is proposed is to establish through research field positive and negative points about the model of strategic management and primary school, which can be a path to a single model of quality management education in the state of Piauí. It was concluded that it is necessary that the manager of public education has a social commitment to making the institution that operates a space of transformation, to create a fairer society, more humane and inclusive, promote freedom, autonomy and quality improvement.

Performance of long-term care systems in Europe. ENEPRI Policy Brief No. 13, December 2012

The evaluation of long-term care (LTC) systems carried out in Work Package 7 of the ANCIEN project shows which performance criteria are important and – based on the available information – how European countries score on those criteria. This paper summarises the results and discusses the policy implications. An overall evaluation was carried out for four representative countries: Germany, the Netherlands, Spain and Poland. Of the four countries, the Dutch system has the highest scores on quality of life of LTC users, quality of care and equity of the LTC system, and it performs the secondbest after Poland in terms of the total burden of care (consisting of the financial burden and the burden of informal caregiving). The German system has somewhat lower scores than the Dutch on all four dimensions. The Polish system excels in having a low total burden of care, but it scores the lowest on quality of care and equity. The Spanish system has few extreme scores. Some important lessons are the following. The performance of a LTC system is a complex concept where many dimensions have to be included. Specifically, the impact of informal caregiving on the caregivers and on society should not be forgotten. The role of the state in funding and organising LTC versus individual responsibilities is one of the most important differences among countries. Choices concerning private funding and the role of informal care have a large effect not only on the public expenditures but also on the fairness of the system. International research into the relative preferences for the different performance criteria could produce a sound basis for the weights used in the overall evaluation.

A design of benchmarking method for assessing performance of e-Government systems

This paper is an initial work towards developing an e-Government benchmarking model that is user-centric. To achieve the goal then, public service delivery is discussed first including the transition to online public service delivery and the need for providing public services using electronic media. Two major e-Government benchmarking methods are critically discussed and the need to develop a standardized benchmarking model that is user-centric is presented. To properly articulate user requirements in service provision, an organizational semiotic method is suggested.

Performance and prediction: Bayesian modelling of fallible choice in chess

Evaluating agents in decision-making applications requires assessing their skill and predicting their behaviour. Both are well developed in Poker-like situations, but less so in more complex game and model domains. This paper addresses both tasks by using Bayesian inference in a benchmark space of reference agents. The concepts are explained and demonstrated using the game of chess but the model applies generically to any domain with quantifiable options and fallible choice. Demonstration applications address questions frequently asked by the chess community regarding the stability of the rating scale, the comparison of players of different eras and/or leagues, and controversial incidents possibly involving fraud. The last include alleged under-performance, fabrication of tournament results, and clandestine use of computer advice during competition. Beyond the model world of games, the aim is to improve fallible human performance in complex, high-value tasks.

High performance subgraph mining in molecular compounds

Structured data represented in the form of graphs arises in several fields of the science and the growing amount of available data makes distributed graph mining techniques particularly relevant. In this paper, we present a distributed approach to the frequent subgraph mining problem to discover interesting patterns in molecular compounds. The problem is characterized by a highly irregular search tree, whereby no reliable workload prediction is available. We describe the three main aspects of the proposed distributed algorithm, namely a dynamic partitioning of the search space, a distribution process based on a peer-to-peer communication framework, and a novel receiver-initiated, load balancing algorithm. The effectiveness of the distributed method has been evaluated on the well-known National Cancer Institute’s HIV-screening dataset, where the approach attains close-to linear speedup in a network of workstations.

Reproducibility of a short semi-quantitative food group questionnaire and its performance in estimating nutrient intake compared with a 7-day diet diary in the Million Women Study

Objectives: To assess the short- and long-term reproducibility of a short food group questionnaire, and to compare its performance for estimating nutrient intakes in comparison with a 7-day diet diary. Design: Participants for the reproducibility study completed the food group questionnaire at two time points, up to 2 years apart. Participants for the performance study completed both the food group questionnaire and a 7-day diet diary a few months apart. Reproducibility was assessed by kappa statistics and percentage change between the two questionnaires; performance was assessed by kappa statistics, rank correlations and percentages of participants classified into the same and opposite thirds of intake. Setting: A random sample of participants in the Million Women Study, a population-based prospective study in the UK. Subjects: In total, 12 221 women aged 50-64 years. Results: in the reproducibility study, 75% of the food group items showed at least moderate agreement for all four time-point comparisons. Items showing fair agreement or worse tended to be those where few respondents reported eating them more than once a week, those consumed in small amounts and those relating to types of fat consumed. Compared with the diet diary, the food group questionnaire showed consistently reasonable performance for the nutrients carbohydrate, saturated fat, cholesterol, total sugars, alcohol, fibre, calcium, riboflavin, folate and vitamin C. Conclusions: The short food group questionnaire used in this study has been shown to be reproducible over time and to perform reasonably well for the assessment of a number of dietary nutrients.

Work performance, productivity and indoor air

Temperature, relative humidity, and air quality all affect the sensory system via thermo receptors in the skin and the olfactory system. Air quality is mainly defined by the contaminants in the air. However, the most persistent memory of any space is often its odor. Strong, emotional, and past experiences are awakened by the olfactory sense. Odors can also influence cognitive processes that affect creative task performance, as well as personal memories and moods. Besides nitrogen and oxygen, the air contains particles and many chemicals that affect the efficiency of the oxygenation process in the blood, and ultimately the air breathed affects thinking and concentration. It is important to show clients the value of spending more capital on high-quality buildings that promote good ventilation. The process of achieving indoor-air quality is a continual one throughout the design, construction, commissioning, and facilities management processes. This paper reviews the evidence.

PIC based detection for distributed space-time block coding under imperfect synchronisation

A parallel interference cancellation (PIC) detection scheme is proposed to suppress the impact of imperfect synchronisation. By treating as interference the extra components in the received signal caused by timing misalignment, the PIC detector not only offers much improved performance but also retains a low structural and computational complexity.

Distributed space-time block coding for 3 and 4 relay nodes: Imperfect synchronisation and a solution

Most research on distributed space time block coding (STBC) has so far focused on the case of 2 relay nodes and assumed that the relay nodes are perfectly synchronised at the symbol level. By applying STBC to 3-or 4-relay node systems, this paper shows that imperfect synchronisation causes significant performance degradation to the conventional detector. To this end, we propose a new STBC detection solution based on the principle of parallel interference cancellation (PIC). The PIC detector is moderate in computational complexity but is very effective in suppressing the impact of imperfect synchronisation.

High-performance infrared narrow-bandpass filters for the Indian National Satellite System meteorological instrument (INSAT-3D)

This paper describes the design and manufacture of a set of precision cooled (210K) narrow-bandpass filters for the infrared imager and sounder on the Indian Space Research Organisation (ISRO) INSAT-3D meteorological satellite. We discuss the basis for the choice of multilayer coating designs and materials for 21 differing filter channels, together with their temperature-dependence, thin film deposition technologies, substrate metrology, and environmental durability performance. (C) 2008 Optical Society of America.

Search space pruning and global optimisation of Multiple Gravity Assist spacecraft trajectories

We introduce and describe the Multiple Gravity Assist problem, a global optimisation problem that is of great interest in the design of spacecraft and their trajectories. We discuss its formalization and we show, in one particular problem instance, the performance of selected state of the art heuristic global optimisation algorithms. A deterministic search space pruning algorithm is then developed and its polynomial time and space complexity derived. The algorithm is shown to achieve search space reductions of greater than six orders of magnitude, thus reducing significantly the complexity of the subsequent optimisation.

PIC detector for distributed space-time block coding under imperfect synchronisation

A parallel interference cancellation (PIC) detection scheme is proposed to suppress the impact of imperfect synchronisation. By treating as interference the extra components in the received signal caused by timing misalignment, the PIC detector not only offers much improved performance but also retains a low structural and computational complexity.

Near-optimum detection for distributed space-time block coding under imperfect synchronization

Significant performance gain can potentially be achieved by employing distributed space-time block coding (D-STBC) in ad hoc or mesh networks. So far, however, most research on D-STBC has assumed that cooperative relay nodes are perfectly synchronized. Considering the difficulty in meeting such an assumption in many practical systems, this paper proposes a simple and near-optimum detection scheme for the case of two relay nodes, which proves to be able to handle far greater timing misalignment than the conventional STBC detector.

Space partitioning for scalable K-means

K-Means is a popular clustering algorithm which adopts an iterative refinement procedure to determine data partitions and to compute their associated centres of mass, called centroids. The straightforward implementation of the algorithm is often referred to as `brute force' since it computes a proximity measure from each data point to each centroid at every iteration of the K-Means process. Efficient implementations of the K-Means algorithm have been predominantly based on multi-dimensional binary search trees (KD-Trees). A combination of an efficient data structure and geometrical constraints allow to reduce the number of distance computations required at each iteration. In this work we present a general space partitioning approach for improving the efficiency and the scalability of the K-Means algorithm. We propose to adopt approximate hierarchical clustering methods to generate binary space partitioning trees in contrast to KD-Trees. In the experimental analysis, we have tested the performance of the proposed Binary Space Partitioning K-Means (BSP-KM) when a divisive clustering algorithm is used. We have carried out extensive experimental tests to compare the proposed approach to the one based on KD-Trees (KD-KM) in a wide range of the parameters space. BSP-KM is more scalable than KDKM, while keeping the deterministic nature of the `brute force' algorithm. In particular, the proposed space partitioning approach has shown to overcome the well-known limitation of KD-Trees in high-dimensional spaces and can also be adopted to improve the efficiency of other algorithms in which KD-Trees have been used.