Search results for "Valuation"
showing 10 items of 2494 documents
Attention-based Model for Evaluating the Complexity of Sentences in English Language
2020
The automation of text complexity evaluation (ATCE) is an emerging problem which has been tackled by means of different methodologies. We present an effective deep learning- based solution which leverages both Recurrent Neural and the Attention mechanism. The developed system is capable of classifying sentences written in the English language by analysing their syntactical and lexical complexity. An accurate test phase has been carried out, and the system has been compared with a baseline tool based on the Support Vector Machine. This paper represents an extension of a previous deep learning model, which allows showing the suitability of Neural Networks to evaluate sentence complexity in tw…
Deep neural attention-based model for the evaluation of italian sentences complexity
2020
In this paper, the Automatic Text Complexity Evaluation problem is modeled as a binary classification task tackled by a Neural Network based system. It exploits Recurrent Neural Units and the Attention mechanism to measure the complexity of sentences written in the Italian language. An accurate test phase has been carried out, and the system has been compared with state-of-art tools that tackle the same problem. The computed performances proof the model suitability to evaluate sentence complexity improving the results achieved by other state-of-the-art systems.
Multi-class Text Complexity Evaluation via Deep Neural Networks
2019
Automatic Text Complexity Evaluation (ATE) is a natural language processing task which aims to assess texts difficulty taking into account many facets related to complexity. A large number of papers tackle the problem of ATE by means of machine learning algorithms in order to classify texts into complex or simple classes. In this paper, we try to go beyond the methodologies presented so far by introducing a preliminary system based on a deep neural network model whose objective is to classify sentences into more of two classes. Experiments have been carried out on a manually annotated corpus which has been preprocessed in order to make it suitable for the scope of the paper. The results sho…
Assessing the costs and cost-effectiveness of ICare internet-based interventions (protocol)
2019
Background: Mental health problems are common and place a burden on the individual as well as on societal resources. Despite the existence of evidence-based treatments, access to treatment is often prevented or delayed due to insufficient health care resources. Effective internet-based self-help interventions have the potential to reduce the risk for mental health problems, to successfully bridge waiting time for face-to-face treatment and to address inequities in access. However, little is known about the cost-effectiveness of such interventions. This paper describes the study protocol for the economic evaluation of the studies that form the ICare programme of internet-based interventions …
Social Difficulties As Risk and Maintaining Factors in Anorexia Nervosa: A Mixed-Method Investigation
2018
Anorexia nervosa (AN) is a serious psychiatric disorder characterized by severe restriction of energy intake and dangerously low body weight. Other domains of functioning are affected, including social functioning. Although difficulties within this domain have started to be acknowledged by the literature, some important gaps remain to be filled. Do social difficulties predate the onset of the illness? What difficulties in particular are relevant for the development and maintenance of the illness? The aim of this study is to combine the use of quantitative and qualitative methods to answer these questions. Ninety participants with lifetime AN (88 women and 2 men) completed an online survey a…
Acceptance and Commitment Therapy for Health Behavior Change: A Contextually-Driven Approach.
2018
Promoting health behavior change presents an important challenge to theory and research in the field of health psychology. In this paper, we introduce a context-driven approach, the Acceptance and Commitment Therapy (ACT) model which is built on Relational Frame Theory. The ACT-based intervention aims to promote individuals’ new health behavior patterns through the improvement of the key construct of psychological flexibility, which is defined as the ability to contact the present moment more fully with acceptance and mindfulness as a conscious human being. Building on the psychological flexibility model, implemented through the six core ACT processes, individuals improve maintenance of lon…
The Causal Influence of Life Meaning on Weight and Shape Concerns in Women at Risk for Developing an Eating Disorder
2021
Background: Although previous studies have shown an inverse relation between life meaning and eating disorder symptoms, the correlational nature of this evidence precludes causal inferences. Therefore, this study used an experimental approach to test the causal impact of life meaning on individuals' weight and shape concerns.Methods: Female students at risk for developing an eating disorder (N = 128) were randomly assigned to the control or the meaning condition, which involved thinking about and committing to pursue intrinsically valued life goals. A color-naming interference task was used to assess the motivational salience of body-related stimuli, and self-report measures were used to as…
Automated Valuation Methods in Atypical Real Estate Markets Using the Mono-parametric Approach
2017
The appraisal objectivity depends on the possibility to quickly and easily access to reliable real estate data in order to apply appropriate appraisal approaches. In order to ensure the objectivity of the real estate appraisals, in recent years Automated Valuation Methods (AVM) have been developed, integrating computerized real estate databases and programming languages. The Automated Valuation Methods proposed at international level usually recur to regression models, aimed to return appraisal equations based on reliable real estate databases. This approach is not applicable in some markets where lack of data does not allow the implementation of regression models. This paper proposes to im…
A three-stage competition game in an air transport network under asymmetric valuation of flight frequencies
2020
Abstract This paper analyzes the effects of changes in aeronautical charges as brought by several airport management regimes on the air transport industry. Airlines compete on both price and non-prices variables, where connecting passengers have asymmetric valuations of flight frequencies in different legs. Changes in landing fees trigger airlines reactions on flight frequencies and airfares, whose sign depends on the weight attached to flight frequencies. Thus, an increase in the spoke landing fee leads to more international flights under low valuations of frequencies at spoke airports. Simulation exercises show that profit-maximizing aeronautical charges only at the spoke airport are pref…
Port expansion and negative externalities: a willingness to accept approach
2015
Port expansion has been seen as the origin of negative externalities, affecting local residents’ well-being and contributing to the poor public image of ports. In this study, the contingent valuation method is used to estimate the costs borne by local residents as a consequence of the negative externalities derived from the growth of the Port of Valencia (Spain) in the last 30 years. As transport project appraisal has become more complex, this technique complements existing methodologies in this field, such as the social cost benefit analysis and the multicriteria analysis. Given the perceived property rights of families that have been living close to the port for a long time, a willingness…