Miracle-dz/UniFAR-FTUs huggingface dataset:
Climate change as a scapegoat for veterinary public health problems

CLIMATE change is having alarming effects on global ecosystem health, with increasing evidence of it contributing to the burden of infectious diseases, particularly vectorborne diseases, and premature deaths in both people and animals (eg, Semenza and Menne 2009). An ever-growing number of studies, often reinforced by the media, envisage catastrophic epidemiological scenarios, leading one to think that climate change is responsible for every conceivable health disaster. It was therefore appropriate for Oxenham ( VR , December 18, 2010, vol 167, p 985) to have pointed out that climate change alarmism is often politically driven, possibly resulting to targeted allocation in grant funds. I respectfully deny climate change scepticism, and this letter is meant to highlight another ‘political’ …
A protocol for fast resource assignment in wireless PCS

The resource assignment multiple access (RAMA) protocol was previously proposed for rapidly assigning communication resources (e.g., frequency channels or TDMA time slots) in a wireless PCS (personal communications system). Available resources are "auctioned" one at a time until either all requests for resources are satisfied or no more resources are available. Barring errors caused by fading and noise, a resource assignment is made in each and every assignment cycle. The authors propose some simple modifications to the RAMA protocol that increase the number of assignments per second and reduce the assignment delay. The proposed tree-search RAMA (TRAMA) protocol is deterministic, and addresses the need for fast and flexible access, handoff, and resource assignment in a future high-capacity wireless PCS, The protocol also has potential applications to local cable access systems. >
Adaptive MMSE equalizer with optimum tap-length and decision delay

In a classic adaptive MMSE equalizer, the structure (or the number of the free coefficients) and the decision delay are often fixed either to some compromise values or simply from experience, making it hard to achieve the best potential performance. In this paper, we propose a novel method to jointly adapt the tap-length and decision delay so that the best performance can be achieved with minimum tap-length and decision delay. The proposed approach needs little extra complexity. It describes an innovative way to implement the adaptive equalizer where not only the structure is optimized but also the decision delay is self tuned. (5 pages)
A coevolutionary genetic algorithm able to learn a FRBS and detect the less informative instances in low quality problems

The evaluation of the fitness function in genetic fuzzy systems with low quality data is a costly process, and this conditions the applicability of this technique to large datasets. Nevertheless, we have observed that, in many practical cases, a few instances are responsible for the main part of the dispersion of the fitness function. In this paper we propose a new technique for coevolving a FRBS and a list containing the less informative instances in the dataset. We guide the learning with an approximate fitness, that combines a crisp component with an estimation of the dispersion of the fitness value, obtained from the mentioned subset of instances.
Relación del estrés oxidativo y la pérdida de peso obtenida en pacientes obesos mórbidos mediante cirugía bariátrica con la técnica del cruce duodenal

Introduction: Oxidative stress (OS), which is overtly present in morbid obesity, is an indicator of a chronic inflammatory state associated to obesity and possibly related with the associated comorbidities, some of which represent an important risk factor for the occurrence of cardiovascular diseases, so that decreasing its intensity has become a treatment priority. Materials and methods: he have consecutively performed the duodenal crossing surgical technique in 28 patients suffering from morbid obesity, assessing the level of oxidative stress by the determination of the products of molecular oxidation and antioxidants before the surgery and throughout one year after the surgery. Weight evolution and the progression of the comorbidities already present were assessed. Results: the mean age of the patients in this series was 43 ± 1 years and the mean BMI 50.3. 82% had associated comorbidities. After the surgery, all the patients progressively lost weight throughout the study period, with a parallel improvement of the comorbidities and a progressive decrease in OS values and improvement of the antioxidant systems, the OS values being similar to those of a normal population at the end of the study. Conclusion: The weight loss achieved allows improving the comorbidities and the oxidative stress values so that at the end of the study the results obtained are similar to those of a normal population.
Postoperative Cognitive Dysfunction in Elderly Patients: A Frequent Complication

also weeks or months after surgery and not always recognized in the early postoperative period because its recognition need the employment of neurological and psychological tests [2]. POCD must be distinguished by delirium that is present early in postoperative period and is characterized by an acute change of attention and thought. It can be diagnosed utilizing confusion assessment method (CAM) [3]. The reported incidence of POCD varies from 7 to 71% at seven-eight postoperative days and 6 to 56% at an interval of 42-84 days [4]. The exact incidence is not known because POCD is not always recognized in the postoperative period since diagnosis requires many sensitive neuropsychological tests and these tests can be difficult to administer in clinical trials in which the sample of the patients may be elevated. Tests are different for the cognitive domain that they study. The working group ISPOCD (International Study of Postoperative Cognitive Dysfunction) has conducted several studies in this field and has also created some recommendations. It was found that in the diagnosis of POCD it should be used a battery of tests to investigate the different domains involved in cognitive functions such as memory, attention, speed motion sensory and flexibility cognitive; moreover, these tests should be sensitive to allow the diagnosis of mild deficits such as those characteristic of POCD. The assessment of cognitive function in the postoperative period is based on the results of pre-and postoperative tests. Often, to correct the “practice effect” that is often present when performing neuropsychological tests repeated over time it is used a control group [5].
Reshaping Social Rights - The Women's Movement, State Feminism and Family Policy in Quebec

During the past ten years, social-policy research has increasingly focused on the impact of social policy on women. Indeed, feminist research has reconsidered Esping-Andersen's classic model in order to assess the consequences of the different welfare regimes from women's point of view. In this growing body of research, much more attention has been paid to women as the targets of social policy than to women's agency. However, not only do social rights contribute in shaping gender, but women have also been fighting to reshape social rights according to their interests. I analyze the collective action of women in Quebec in the field of family policy which has been institutionalized as a distinct public-policy domain since the mid eighties. I stress the role of women's policy machinery, expressly the Quebec Council on Woman's Status (CWS), in echoing and formulating a feminist perspective in the field of social rights and family policy. I argue that this feminist intervention implies a transformation of the family-policy frame, from a “family unit” to an “individual” perspective. I then explore the way the CWS manages to define women’s interest in the field of family policy, and stress the strategic use of family law in this perspective. 1 My attendance to this conference has been made possible by financial support by the Association Internationale des Etudes Québécoises (AIEQ: http://www.aieq.qc.ca/), the Law and Society Association (http://www.lawandsociety.org/) and the Groupe d’Analyse des Politiques Publiques (GAPP-CNRS/ENS de Cachan, France: http://www.gapp-cnrs.ens-cachan.fr/). I wish to thank Charles Kaufman for his careful editing of this paper.
Independent Task Scheduling in Grid Computing Based on Queen Bee Algorithm

Article history: th , 2012 Grid computing is a new model that uses a network of processors connected together to perform bulk operations allows computations. Since it is possible to run multiple applications simultaneously may require multiple resources but often do not have the resources; so there is a scheduling system to allocate resources is essential. In view of the extent and distribution of resources in the grid computing, task scheduling is one of the major challenges in grid environment. Scheduling algorithms must be designed according to the current challenges in grid environment and they assign tasks to resource to decrease makespan which is generated. Because of the complex issues of scheduling tasks on the grid is deterministic algorithms work best for this offer. In this Paper, the Queen-bee algorithm is presented to solve the problem and the results have been compared to several other meta-heuristic algorithms. Also, it is shown that the proposed algorithm decline calculation time beside decreasing makespan compared to other algorithms. Keyword: Grid computing Scheduling Queen-Bee PSO Genetic SA
The Method of Web Image Annotation Classification Automatic

It has been heavy work that to find the related pictures form Internet without annotation. Therefore, the automatic image annotation was extremely important in image retrieval. The traditional method were translated image visual feature into keywords simply, but it ignored the image similarity problem between the low-level visual features and high-level semantic. That is image "gap" problem, so image annotation was very lower. This paper puts forward a classification of web based image content automatic tagging mixing technology, the first it will map visual feature of image to one or more rough images, then we will preprocess the web page text information, finally we select some keywords similarity as image annotation by using similar semantic processing module. So it realizes the image and text combining the automatic annotation and it achieve high precision of image annotation.
Critical Review: In adult patients with Traumatic Brain Injury, what are the characteristics of the memory impairment?

Memory impairments are the most frequently and one of the most debilitating reported in traumatic brain injury (TBI). This critical review examines the characteristics of memory impairment in adults with TBI. A literature search of electronic databases identified four articles meeting the selection criteria. Study designs include a prospective matched control trial and three between-group designs. The results of the research suggest that there is conflicting evidence in the literature on the characteristics of memory that are impaired in individuals with TBI. Clinical implications and future research recommendations are also discussed.
An Intelligent Decision Support System IDSS for Nutrition Therapy: Infrastructure, Decision Support, and Knowledge Management Design

In this paper, the authors have presented an expert system to support decision makers in nutrition therapy planning. This system is an extended version of a fuzzy decision support system for nutrition therapy. The presented expert system is equipped with an updated knowledge base component by using a set of rules. Also in order to deal with vagueness and uncertainty, fuzzy set theory could provide a suitable framework for data management, modelling and decision support. Therefore, fuzzy rules empower this system to be implemented more realistically. In addition, for developing knowledge management component, artificial neural network ANN is applied to survey the input data and information in the long term. The integration of ANN with the expert system provides the possibility for a set of novel rules to be generated and consequently adds new knowledge to the system.
Modelling the acquisition of natural language categories

The ability to reason about categories and category membership is fundamental to human cognition, and as a result a considerable amount of research has explored the acquisition and modelling of categorical structure from a variety of perspectives. These range from feature norming studies involving adult participants (McRae et al. 2005) to long-term infant behavioural studies (Bornstein and Mash 2010) to modelling experiments involving artificial stimuli (Quinn 1987). In this thesis we focus on the task of natural language categorisation, modelling the cognitively plausible acquisition of semantic categories for nouns based on purely linguistic input. Focusing on natural language categories and linguistic input allows us to make use of the tools of distributional semantics to create high-quality representations of meaning in a fully unsupervised fashion, a property not commonly seen in traditional studies of categorisation. We explore how natural language categories can be represented using distributional models of semantics; we construct concept representations for corpora and evaluate their performance against psychological representations based on human-produced features, and show that distributional models can provide a high-quality substitute for equivalent feature representations. Having shown that corpus-based concept representations can be used to model category structure, we turn our focus to the task of modelling category acquisition and exploring how category structure evolves over time. We identify two key properties necessary for cognitive plausibility in a model of category acquisition, incrementality and non-parametricity, and construct a pair of models designed around these constraints. Both models are based on a graphical representation of semantics in which a category represents a densely connected subgraph. The first model identifies such subgraphs and uses these to extract a flat organisation of concepts into categories; the second uses a generative approach to identify implicit hierarchical structure and extract an hierarchical category organisation. We compare both models against existing methods of identifying category structure in corpora, and find that they outperform their counterparts on a variety of tasks. Furthermore, the incremental nature of our models allows us to predict the structure of categories during formation and thus to more accurately model category acquisition, a task to which batch-trained exemplar and prototype models are poorly suited.
Ontologies on trial: the lesson of Maurice v. Judd (New York, 1818)

Ontologies, and legal ontologies are a particular class of application of these, have become fairly popular. Are they fit for purpose? Like with all kinds of tools from legal computing, one must be cautious, and consider very attentively what the likely receptions are going to be, among users. Maurice v. Judd (New York, 1818), when a jury was called to decide whether whale oil is fish oil, and decided that indeed whales are fish, is a trial that was analysed in Graham Burnett's Trying Leviathan: The nineteenth-century New York court case that put the whale on trial and challenged the order of nature (Princeton, NJ: Princeton University). It is a highly readable book, and it has something important to teach developers of ontologies in the legal domain. The intended public of users of any software, or of ontologies in particular, is paramount. Those intended users you are catering to with your new tool are going to make or break it, just as it happened, e.g. to sentencing information systems in Canadian provinces.
Analysis in movie reviews using Word Embedding : A Case Study

Online reviews are written in a natural, personal manner, and often openly conveys the writer’s opinions and thoughts. As a result, consumers often use products and services after viewing other users' reviews or recommendations. Therefore, there is an increasing number of attempts to find improvements or make decisions in products and services through online review analysis. As computing technologies collecting and processing unstructured data evolves, researches of analyzing the sentimentl texts are conducted in various fields. Sentiment analysis aims to analyze product reviews an identify the polarity and degree of emotion[1]. Therefore, it is important to use emotional dictionaries that accurately reflect the emotional polarity of words[2]. Various types of sentimental analysis are being proceeded in various domains. However, until now, major research streamis either analyzinga simple sentimental polarity negative and positive, or comparing the performance of text mining algorithms. Thus little reseach has been conducted to analyze multi-faceted emotional words. The purpose of this study is to suggest a framework for sentiment analysis considering multi-faceted aspects of emotional words and to perform a case study of analyzing online reviews of movies using the framewok.This study is composed as follows: Chapter 2 covers previous research of online reviews and emotional analyses; Chapter 3 presents a framework for sentiment analysis; in Chapter 4, a case study of the movie review using the framework and the results of the study are illustrated; finally, in chapter 5 we discuss conclusions and future research directions of this study.
Taming diversity: an exploratory study on the travel of a management fashion

Purpose – Originating from the USA in the early 1990s, diversity management has been “imported” to Europe to become a fashionable practice in many business organizations. The aim of this paper is to provide further insight into whether and how the diversity management discourse challenges and replaces existing local discourses on equality and diversity, and how diversity management is given content and meaning in a specific local context.Design/methodology/approach – Statements on diversity, diversity management and equality on both the Dutch and the international websites of ten leading companies in the Netherlands are analyzed.Findings – The analysis shows that translations of diversity management may in fact not actually replace existing local discourses, but rather leave the existing local discourse more or less intact and alter the original diversity management discourse to fit into this local discourse.Originality/value – This paper offers some important lessons for management practice.
Estructura factorial de la función ejecutiva en estudiantes universitarios jóvenes

a Coordinador Académico de la Maestría en Neuropsicología. Universidad de San Buenaventura. Coordinador de la Línea de Neurodesarrollo. Grupo de Neurociencias de Antioquia. Universidad de Antioquia. b Profesora de Neuropsicología. Línea de Neuropsicología y Conducta. Facultad de Psicología. Universidad de San Buenaventura. Medellín, Colombia. c Jefa de la División de Psicología. Florida Atlantic University. d Profesor de Neuropsicología. Florida Atlantic University. Davie, Florida, Estados Unidos. Director Científico. Maestría en Neuropsicología. Universidad de San Buenaventura. Medellín, Colombia.
Learn without Learning : Experience of Art Perception in Museum ( Experimental Studies at The State Hermitage Museum )

Education theory and practice of art have grown up. The participants of museum ’s educational programs define the main purpose and value of the programs as the development of their own creativity and feeling of fullness of life. Experimental studies of the experience of art perception using exhibits of The State Hermitage Museum were carried out (2011 – 2018). We aimed to study how emotions are reflected in the bodily reactions as a personal chooses and obtained data that allowed us to conclude: the perception of works of art is an organismic reaction and a controversial verbal assessment. Psychophysiological measurements (blood pressure, heart rate) were combined with the use of psychological techniques: monitoring, verbal self-assessment and projective techniques. The perception of some works of classical art turned out to be a life-event for the participants, regardless of possessing special knowledge or experience in museum visiting in the past. We can talk about a sufficiently strong experience, changing a person. The Museum teachs without learning, authentic museum exhibition space sets the situation of perception, demonstrating the creative potential of a person. The creative potential develops in a realization of one’s own feelings, in choosing a work of art that arouses integral perception, in the ability to not just survive the aesthetic sense, but also find the beauty of life, which encourages growth and development, in the emergence of a new view of a familiar reality. The findings of the research process allow conducting educational individual work with the audience, perceiving a work of art, and create new programs for the museum.
Focus in Generative Grammar

The topic of this book is the notion of ‘focus’ and its linguistic characterization. The main thesis is that focus has a uniform grammatical identification only as a syntactic element with – in English at least – a certain systematic phonological interpretation and – presumably universally – a range of semantic interpretations. In broad respects, the framework within this investigation is conducted is that of Chomsky & Lasnik (1977) and the subsequent Government and Binding framework. After considering defining the location of prominence in a focused phrase in terms of constituent structure, the author argues that an argument structure approach to the focus phrase/prominence relation is more promising. This is then exemplified in analyses of cleft focus and constructional focus.
Kinematic Analysis of a 3-Axis Parallel Manipulator: The P3

This paper presents kinematic analysis of a 3-axis parallel manipulator, called P3. The P3 parallel manipulator is developed based on a 3-PRRU parallel mechanism, where P denotes prismatic pair, R revolute pair, and U universal joint. The P3 parallel manipulator can undergo two rotations and one translation without parasitic motion. First, a brief description of the P3 is presented. Then, forward and inverse kinematic solutions of the P3 are derived. Parasitic motion is discussed. The Jacobian matrix is obtained based on the velocity equations. Further, singular configurations of the P3 are identified. A special configuration where the actuation fails is also detected based on screw theory. The workspace of P3 is investigated.
Nutrient Recovery from Urine through Membrane Techniques 1

A paradigm shift is currently underway from an attitude that considers urine as a waste to be treated, to a proactive interest in recovering materials and energy from these streams. This paper is concerned with the development and application of a systematic, model-based methodology for the development of membrane based nutrient recovery systems that are both economically attractive and sustainable. With the array of available treatment and recovery options growing steadily development of reliable, yet simple, performance based is a key issue with this approach in order to allow for a reliable solution based on global optimization. We argue that commercial urine simulators can be used to derive such models, and we illustrate this approach with a simple recovery system. A conceptual decision making algorithm is developed aiming at the configuration and optimization of nutrient recovery treatment trains. This, in turn, may stimulate and hasten the global transition from urine wastage to urine resource recovery facilities. On top of that, the proposed roadmap may help adjusting the choice of nutrient recovery strategies to local fertilizer markets, thereby speeding up the transition from a fossil-reserve based to a bio-based circular nutrient economy. KeywordNutrient Recovery, Phosphate Recovery, Ammonia Recovery, Membrane Based Process __________________________________________________________________________________________________