Depression as a risk factor for ischaemic heart disease in men: population based case-control study

Objective: To determine the relation between depression, anxiety, and use of antidepressants and the onset of ischaemic heart disease.

Hormone replacement therapy and risk of hip fracture: population based case-control study

Objective: To determine the relative risk of hip fracture associated with postmenopausal hormone replacement therapy including the effect of duration and recency of treatment, the addition of progestins, route of administration, and dose.

Population based case-control study of sick leave in postmenopausal women before diagnosis of hyperparathyroidism

Objective: To analyse sick leave in women at risk of primary hyperparathyroidism before its diagnosis.

Acceptance and Commitment Therapy-Based Exposure Treatment of Choking Phobia: A Case Study

One might choke if they observed the lack of research on choking phobia. McNally's (1994) review of the literature on choking phobia found only 25 studies addressing the treatment of choking phobia. The vast majority of these were case studies and none were randomized controlled trials. A search of the literature since then yielded only a few more studies. Given the dearth of information available about choking phobia and its treatment, it is important to document cases treated successfully with novel approaches. My goal in this paper is therefore to illustrate the use of exposure therapy augmented by Acceptance and Commitment Therapy (ACT; e.g., see Hayes, Strosahl, & Wilson, 1999; Hayes and Strosahl, 2004) in the treatment of an adult male presenting with fear of choking and to offer suggestions for the optimal treatment of choking phobia. To my knowledge, there are no documented cases of elements of ACT being used in the treatment of choking phobia to be found in the literature.

Pitfalls on computing liquid-liquid phase equilibria using the k-value method

Poster presented in the 11th Mediterranean Congress of Chemical Engineering, Barcelona, October 21-24, 2008.

A study of a soft computing based method for 3D scenario reconstruction

Several recent works deal with 3D data in mobile robotic problems, e.g., mapping. Data comes from any kind of sensor (time of flight, Kinect or 3D lasers) that provide a huge amount of unorganized 3D data. In this paper we detail an efficient approach to build complete 3D models using a soft computing method, the Growing Neural Gas (GNG). As neural models deal easily with noise, imprecision, uncertainty or partial data, GNG provides better results than other approaches. The GNG obtained is then applied to a sequence. We present a comprehensive study on GNG parameters to ensure the best result at the lowest time cost. From this GNG structure, we propose to calculate planar patches and thus obtaining a fast method to compute the movement performed by a mobile robot by means of a 3D models registration algorithm. Final results of 3D mapping are also shown.

A GIS-based methodology to quantitatively define an Adjacent Protected Area in a shallow karst cavity: The case of Altamira cave

Different types of land use are usually present in the areas adjacent to many shallow karst cavities. Over time, the increasing amount of potentially harmful matter and energy, of mainly anthropic origin or influence, that reaches the interior of a shallow karst cavity can modify the hypogeal ecosystem and increase the risk of damage to the Palaeolithic rock art often preserved within the cavity. This study proposes a new Protected Area status based on the geological processes that control these matter and energy fluxes into the Altamira cave karst system. Analysis of the geological characteristics of the shallow karst system shows that direct and lateral infiltration, internal water circulation, ventilation, gas exchange and transmission of vibrations are the processes that control these matter and energy fluxes into the cave. This study applies a comprehensive methodological approach based on Geographic Information Systems (GIS) to establish the area of influence of each transfer process. The stratigraphic and structural characteristics of the interior of the cave were determined using 3D Laser Scanning topography combined with classical field work, data gathering, cartography and a porosity–permeability analysis of host rock samples. As a result, it was possible to determine the hydrogeological behavior of the cave. In addition, by mapping and modeling the surface parameters it was possible to identify the main features restricting hydrological behavior and hence direct and lateral infiltration into the cave. These surface parameters included the shape of the drainage network and a geomorphological and structural characterization via digital terrain models. Geological and geomorphological maps and models integrated into the GIS environment defined the areas involved in gas exchange and ventilation processes. Likewise, areas that could potentially transmit vibrations directly into the cave were identified. This study shows that it is possible to define a Protected Area by quantifying the area of influence related to each transfer process. The combined maximum area of influence of all the processes will result in the new Protected Area. This area will thus encompass all the processes that account for most of the matter and energy carried into the cave and will fulfill the criteria used to define the Protected Area. This methodology is based on the spatial quantification of processes and entities of geological origin and can therefore be applied to any shallow karst system that requires protection.

Flexible Framework for Real-Time Embedded Systems Based on Mobile Cloud Computing Paradigm

The development of applications as well as the services for mobile systems faces a varied range of devices with very heterogeneous capabilities whose response times are difficult to predict. The research described in this work aims to respond to this issue by developing a computational model that formalizes the problem and that defines adjusting computing methods. The described proposal combines imprecise computing strategies with cloud computing paradigms in order to provide flexible implementation frameworks for embedded or mobile devices. As a result, the imprecise computation scheduling method on the workload of the embedded system is the solution to move computing to the cloud according to the priority and response time of the tasks to be executed and hereby be able to meet productivity and quality of desired services. A technique to estimate network delays and to schedule more accurately tasks is illustrated in this paper. An application example in which this technique is experimented in running contexts with heterogeneous work loading for checking the validity of the proposed model is described.

A Computational Method based on Radio Frequency Technologies for the Analysis of Accessibility of Disabled People in Sustainable Cities

The sustainability strategy in urban spaces arises from reflecting on how to achieve a more habitable city and is materialized in a series of sustainable transformations aimed at humanizing different environments so that they can be used and enjoyed by everyone without exception and regardless of their ability. Modern communication technologies allow new opportunities to analyze efficiency in the use of urban spaces from several points of view: adequacy of facilities, usability, and social integration capabilities. The research presented in this paper proposes a method to perform an analysis of movement accessibility in sustainable cities based on radio frequency technologies and the ubiquitous computing possibilities of the new Internet of Things paradigm. The proposal can be deployed in both indoor and outdoor environments to check specific locations of a city. Finally, a case study in a controlled context has been simulated to validate the proposal as a pre-deployment step in urban environments.

Denitrification Enzymes-Based Biosensors: the Case of Haloarchaeal Enzymes

In the last two decades, the increase in the use of artificial fertilizers and the disposal of industrial wastes have been the main factors responsible for the progressive increase in nitrate and nitrite levels in groundwater and soil. A variety of analytical strategies have been developed for nitrate and nitrite detection but electrochemical biosensors, which are simple, cheap, easily miniaturized and suitability for real-time detection, are proved to be a powerful tool. Various types of biosensors based on the use of whole cells or on the immobilization of denitrification enzymes have been developed, but their use is limited in environmental analysis under extreme conditions such as brines, acidic or basic wastewaters, salted soils, etc. Extremophilic denitrifying microorganism are good candidates for the development of new nitrate and nitrite biosensors and, in particular, haloarchaeal based biosensors would have advantages over bacterial based biosensors since the microorganisms and the purified denitrifying enzymes tolerate a wide range of temperature and salinity. This work summarizes new highlights on the potential uses of denitrifying haloarchaeal enzymes to make enzyme-based biosensors.

Is the "Dubai model" a new paradigm for growth and investment strategies for oil-based economies? Case study: Eurasia. ACES Working Papers No. 8, 2008

The first part of the paper addresses the theoretical background of economic growth and competitive advantage models. Although there is a whole set of research on a relationship between foreign direct investments and economic growth, little has been said on foreign direct investments and national competitive advantage with respect to economic growth of oil and gas abundant countries of Middle East and Central Asia. The second part of our paper introduces the framework of the so-called "Dubai Model" in detail and outlines the key components necessary to develop sustainable comparative advantage for the oil-rich economies. The third part proceeds with the methodology employed to measure the success of the "Dubai Model" in the UAE and in application to other regions. The last part brings the results and investigates the degree to which other oil and gas countries in the region (i.e. Saudi Arabia, Kuwait, Qatar, Iran) have adopted the so-called "Dubai Model". It also examines if the Dubai Model is being employed in the Eurasian (Central Asian) oil and gas regions of Kazakhstan, Azerbaijan, Turkmenistan and Uzbekistan. The objective is to gauge if the Eurasian economies are employing the traditional growth strategies of oil-rich non-OECD countries in managing their natural resources or are they adopting the newer non-traditional model of economic growth, such as the "Dubai Model."

How mobile is tech talent? A case study of IT professionals based on data from LinkedIn. CEPS Special Report No. 140, July 2016

This study aims to provide independent and in-depth insights into how IT professionals move from one region to another within Europe and beyond. This study was carried out by Mikkel Barslund, Research Fellow, and Matthias Busse, Researcher in the Economic Policy research unit at CEPS. The work was commissioned by the business networking website LinkedIn, whose data analysts kindly provided the data used in this study, aggregated by region and in relative and anonymised terms. The authors are solely responsible for the findings and opinions expressed in this study. CEPS is an independent policy research institute in Brussels, whose mission is to produce sound policy research leading to constructive solutions to the challenges facing Europe today. The views expressed in this study are solely those of the authors and should not be attributed to CEPS or to any other institution with which they are associated or to the business networking website LinkedIn.

RASCEL: a programmable analog computer based on a regular array of stochastic computing element logic

Thesis--University of Illinois.