Miracle-dz/UniFAR-FTUs huggingface dataset:
Crenças sobre comportamentos de saúde e adesão à prevenção e ao controle de doenças cardiovasculares

This paper analyzes the beliefs on thirteen behaviors related to cardiovascular health, identified in three studies that used the same method using adult samples diagnosed with and without cardiovascular diseases. All the studies were based on the Health Belief Model and they had several objectives, among these objectives were to identify (a) the knowledge that the behavior should be practiced, (b) the perceived benefits, (c) the perceived barriers, and (d) the level of adherence to them, according to self report. In the first study the sample was composed by 50 men, 100 men with cardiovascular problems participated in the second study, and in the third the sample was 61 hypertensive subjects, most of them female. The results showed that some behaviors are more identified with cardiovascular health than others, that there is high accordance that the behaviors must be practiced, but low adherence to them, and that the perceived benefits are related to general health, to cardiovascular health or to others systems’ health, and to well-being. The perceived barriers varied depending of the behavior nature, so that to food restrictions it was the pleasure of eating limitation; the lack of time was the cause to not exercising and not resting; to do exams and to see the doctor, just in case of need or a symptom; to avoid worries, not smoking and to follow a diet to lose weight are perceived as very difficult tasks to the human being.
Drusen-like beneath retinal deposits in type II mesangiocapillary glomerulonephritis: a review

The aim of this paper is to do a review of Drusen-like beneath retinal deposits in type II mesangiocapillary glomerulonephritis. Drusenlike beneath retinal deposits in type II mesangiocapillary glomerulonephritis appear to develop at an early age, often second decade of life different of drusen from age-related macular degeneration (AMD). Long term follow-up of the cases in this disease shows in the most of them, no progression of the of drusen-like beneath retinal deposits in type II mesangiocapillary glomerulonefritis, the most of subjects retain good visual acuity and no specific treatment is indicated.
Unifying Gaussian Dynamic Term Structure Models from an HJM Perspective*

In this review paper, we show that most existing Gaussian dynamic term structure models (GDTSMs) can be nested as special cases under a unified HJM-based framework of constructing GDTSMs. Our study provides not only a systematic viewpoint to examine the commonality of many seemingly distinct GDTSMs, but a novel and convenient approach to constructing GDTSMs that are otherwise unavailable or intractable under the traditional approach. We also discuss issues of interest rate derivatives pricing under this approach and using integration to construct Markov representations of HJM models.
SYNTHETIC DYE DECOLOURISATION BY WHITE ROT FUNGUS,

Many synthetic dyes present in industrial wastewaters are resistant to degradation by conventional treatments. Decolourisation of four synthetic azodyes by indigenous strain of white rot fungus isolated from outskirts of Mumbai, identified as Trametes cingulata, was investigated. The broad-spectrum decolourisation efficiency of the isolate was assessed using chemically different dyes. The fungus showed high decolourisation capacity and was able to decolourise all dyes tested, at different rates. Maximum decolourisation was achieved within four days in a reactor. The isolate was further evaluated for the decolourisation of industrial effluent. Complete decolourisation was achieved within five days of incubation.
The Impact of Rule-Based Text Generation on the Quality of Abstractive Summaries

In this paper we describe how an abstractive text summarization method improved the informativeness of automatic summaries by integrating syntactic text simplification, subject-verb-object concept frequency scoring and a set of rules that transform text into its semantic representation. We analyzed the impact of each component of our approach on the quality of generated summaries and tested it on DUC 2002 dataset. Our experiments showed that our approach outperformed other state-of-the-art abstractive methods while maintaining acceptable linguistic quality and redundancy rate.
Personal Health Book: A Cloud-Based Tool for Patient Centered Healthcare

Patient centered healthcare is based on the assumption that physicians, patients and their families have the ability to obtain and understand health information and services, and make appropriate health decisions. This in turn presumes that patient’s personal health information is presented according to individuals understanding and abilities. Based on this argument our research has focused on analysing whether the existing PHRs (Personal Health Records) support patient centered healthcare in an appropriate way. The analysis of these questions led to the introduction of the Personal Health Book (PHB). It is an extension of PHR in that all healthcare providers augment the PHB by links to relevant information entities. We can exploit cloud computing in accessing the PHB as anyone with a suitable Internet connection and a standard browser can access an application in a cloud. In this paper we consider two approaches for maintaining PHBs: one extends XML based PHRs while the other exploits semantic web technologies in PHBs’ implementation. In particular, we present the advantages that can be achieved in using cloud computing and semantic web technologies such as RDF and OWL. KeywordsPatient Centered Healthcare; Personal Health Records; Information Therapy; Drug Therapy; Semantic Web; Ontologies, XML, RDF, OWL
REVISITING THE LEARNERS’ LINGUISTIC AND CULTURAL NEEDS IN A GLOBALISED WORKING ENVIRONMENT

Changes and challenges in modern society have an impact on the linguistic and cultural environment. Mobility and adaptability have become mundane skills while developing a multilingual repertoire is gradually imposing itself as a condition in a business working environment. The emergence of multinational companies in an alreadyplurilingual environment, as the region of Banat has, is currently leading to a reshaping of the learning environment. Moreover, the analysis of learners’ needs, the learning content and the teaching methodology, along with emphatic behavior models, must be revisited in order to optimize both language learning and multicultural communication. The goal of the present paper is to draw the attention on some relevant language learning features of the Romanian business environment and enlarge upon the new profile of the ESP learner.
FaGoN: Fake News Detection model using Grammatic Transformation on Neural Network

These days, most of fake news are detected and verified by people, which requires a great amount of time and effort. It is difficult to Figure out the truthfulness of the news by machine algorithm because the sentences have various forms. In this paper, we shall present a fast and efficient fake news detection model which can Figure out whether the given proposition is true or not from article by exploiting grammatical transformation based on deep learning. Our model consists of four layers: word embedding layer, context generation layer, matching layer and inference layer. In word embedding layer, the words in proposition are embedded into word vector. In context generation layer, the word vectors enter into LSTM layer and generate context vector. In matching layer, attention vector is generated from the contextual embedding vector in the previous layer computing the weighted sum. Then, the hidden state vector from LSTM layers and attention vector are compared through matching operation generating the sentences which has the same meaning but different forms. In inference layer, our model calculates the similarity between the generated sentences and the sentences in articles, and classifies the answer, true or false. We shall evaluate our model calculating the perplexity to Figure out whether the generated sentences are grammatically correct. Also, the model is tested by changing the sentence group’s size to find the optimal size of the group. By showing the Our model figured out the fake news very well with the test of CNN news dataset getting the right answer.
University of Groningen The effect of high compared with low dairy consumption on glucose metabolism, insulin sensitivity, and metabolic flexibility in overweight adults Eelderink,

Background: Dairy products contain many nutritious components that may benefit metabolic health. There are indications that glucose metabolism and insulin sensitivity, which are generally disturbed in overweight and obese individuals, may improve by increased dairy intake. This may also affect one’s metabolic flexibility. Objective: The aim of this study was to investigate the effects of high compared with low dairy intake on glucose metabolism, insulin sensitivity, and metabolic flexibility in overweight adults (aged 45–
Bridging the Gap between Multiplexing and Diversity in Finite SNR Multiple Antenna Coded Caching

We study the multi-antenna Coded Caching setting in the finite Signal-to-Noise-Ratio (SNR) region, with the purpose to utilize the extra resources from the multiple antennas to increase the rate performance of the system. Specifically, assuming an L-antenna setting with K cache-enabled users (each with normalized cache-size γ), previous works showed that at the high SNR region the performance is proportional to L + Kγ degrees-of-freedom while, if one considers the low SNR region this would be outperformed by a strategy that focuses on beamforming a (single) multicast message (of Kγ + 1 elements) to its recipients. In order to bridge these two extremes we use a recently proposed algorithm that can balance the amount of users served in order to maximize the achieved sum-rate.
Estimation of shape of AFM tip with “Cross-Forrest” calibration standard

The “Cross-Forrest” tip shape calibration standard for regularized blind tip reconstruction has been fabricated and investigated. The confirmation of previously reported theoretical findings is shown. However, the KSVD-OMP algorithm of images denoising has been extended by additional group sparsity penalty and Shi Tomasi corner detection algorithm with 100 nm size window for cross concave corners needed to be applied. The comparison of SEM direct tip imaging with 3D shapes reconstructed on the basis of filtered and unfiltered AFM images are shown and the qualitative agreement has been confirmed. The optimization of fabrication technology of “Cross-Forrest” structure is required to allow quantitative tip shape measurements. It should limit the uncertainty of the initial shape of an AFM tip, and the resulting uncertainty of final shape which is the improved version of the initial one. Estymacja kształtu ostrza AFM za pomocą struktury kalibracyjnej „Cross-Forrest” Słowa kluczowe: mikroskopia sił atomowych, ślepa rekonstrukcja kształtu ostrza, struktura kalibracyjna. Streszczenie: Wykonano i zbadano strukturę „Cross-Forrest” służącą do kalibracji kształtu ostrza metodą regularyzowanej ślepej rekonstrukcji. Potwierdzono prezentowane w literaturze wyniki teoretyczne. Wymagało to jednak rozszerzenia algorytmu filtracji obrazów KSVD-OMP o dodatkową funkcję kary w postaci wskaźnika grupowej rzadkości reprezentacji oraz zastosowania algorytmu Shi-Tomasiego z 100 nm oknem do detekcji wklęsłych narożników krzyża. Porównano obrazy SEM ostrzy z ich trójwymiarowymi rekonstrukcjami kształtu i potwierdzono zgodność jakościową. Do uzyskania zgodności ilościowej niezbędna jest jednak optymalizacja technologii wykonania struktur „Cross-Forrest”, która pozwoli ograniczyć niepewność oszacowania kształtu początkowego ograniczającą niepewność oszacowania kształtu finalnego.
Disproportional Threat: Redistricting as an Alternative to Proportional Representation

Analyzing the voting behavior of Swiss members of parliament (MP) using newly collected individual, district, and cantonal level data, we show that both electoral disproportionalities and the insurgent parties’ electoral potential are important determinants of MP voting behavior on the adoption of proportional representation (PR). However, in contrast to the prominent electoral threat thesis, the insurgent party’s high electoral potential decreases the probability that MPs of established parties support PR. The reason for this relationship is partisan redistricting, whose relevance has so far been largely ignored in the literature. We demonstrate that adapting electoral district boundaries for political reasons, if possible in a given institutional context, can be a powerful alternative to the adoption of PR, because it allows established parties to retain parliamentary majorities even as an insurgent party’s electoral potential increases.
The Role of Diffusion-Weighted MR Imaging Differentiating Transudative and Exudative Pleural Effusions in Asbestos-Related Pleural Diseases

Objective: The aim of this study was to evaluate the ability of diffusion weighted magnetic resonance imaging (dMRI) in differentiating transudate pleural effusions from exudate pleural effusions with asbestos-related pleural diseases. Material and Method: This study included 55 patients. Thirty-three had a benign form of the disease and 22 had malignant pleural mesothelioma (MPM). The patient files and records belonging to ones who underwent dMRI on a 1.5 T MR system between January 2015 and February 2016 in our clinic were examined retrospectively. The dMRI was done with b values of 0,500 and 1000 s/mm. The apparent diffusion coefficient (ADC) maps were generated and mean ADC values were measured from pleural effusions. Results: Appropriate ADC maps were obtained in 55 patients. The mean pleural effusion ADC values were 3.61 ± 0.55 x 10 mm/s in benign pleural disease and 3.12 ± 0.62 x 10 mm/s in MPM, respectively. The optimum cutoff point for ADC values was 3.43 x 10 mm/s with a sensitivity of 88.6% and specificity of 84%. The mean ADC value of the effusions in malignant mesothelioma was significantly lower than that of benign pleural disease (p < 0.05). Conclusion: dMRI may help in the differential diagnosis of transudate and exudate pleural effusions that indicate to early detection of MPM with asbestos-related pleural diseases.
No 21 – October 2015 Nudging as a new “soft” tool in environmental policy. An analysis based on insights from cognitive and social psychology

The idea of nudging has become increasingly popular in both academic and political circles. There are, however, many different interpretations of the term ‘nudge’ which blurs its scope. In this paper we focus on the conceptualization of nudges and its functionality in reference to the Dual Process models. Further, we discuss the potential applications of nudging in the field of environmental policy as an important extension of the current policy framework. In particular, we identify areas where nudges could be most effective. We also consider different combinations of nudges with other policy instruments. Our theoretical discussion is illustrated by a couple of examples concerning practical implementation of nudging.
A METHODOLOGY FOR THE EVALUATION OF AN E-LEARNING SERVICE IN THE CULTURAL HERITAGE DOMAIN

In this paper is presented a methodology we have developed for the evaluation of an asynchronous e-learning service that will be created in the European cultural heritage domain as part of the project ERMIONE (E-Learning Resource Management Service for InterOperability Networks in the European Cultural Heritage Domain) project of the eTEN Program of the European Union. The theoretical foundations of the methodology are the basic constructs and conclusions of i) the traditional education evaluation research, ii) the e-learning evaluation and critical success factors research, iii) the information systems (IS) success research and iv) the technology acceptance models related research. This methodology evaluates e-learning capabilities and resources (content, electronic support by the instructor, learning community, technical quality, customization capabilities and perceived ease of use), e-learning context (such as previous familiarity of the e-learners with the computers and the e-course subject), elearning outcomes (extent of accomplishment of educational objectives and use), and the relations between them. It can be used for both formative and summative evaluation of asynchronous e-learning, while with some adaptations it can be used for the evaluation of other types of e-learning and in general of other electronic services as well. KEY-WORDS: asynchronous e-learning, evaluation, cultural heritage
Bayesian Posterior Sampling via Stochastic Gradient Descent with Collisions

Markov Chain Monte Carlo algorithms, with step proposals based on Hamiltonian or Langevin dynamics, are commonly used in Bayesian machine learning and inference methods to sample from the posterior distribution of over model parameters. In addition to providing accurate predictions, these methods quantify parameter uncertainty and are robust to overfitting. Until recently, these methods were limited to small datasets since they require a full pass over the data per update step. New developments have enabled mini-batch updates through the use of a new mini-batch acceptance test and by combining stochastic gradient descent with additional noise to correct the noise distribution. We propose a novel method that redistributes the stochastic gradient noise across all degrees of freedom via collisions between particles instead of inserting additional noise into the system. Since no additional noise is added to the system, the proposed method has a higher rate of diffusion. This should result in faster convergence as well as improved exploration of the posterior distribution. We observe this behavior in initial experiments on a multivariate Gaussian model with a highly skewed, and correlated distribution.
INVESTIGATION OF ORGANIZATIONAL DISSENT BEHAVIOR VIA STRUCTURAL EQUATION MODELING : A RESEARCH ON HOSPITALITY BUSINESS EMPLOYEES

Organizational dissent may sound negative. However, it may be regarded as a kind of communication between the management and the employees, and by which a kind of feedback is obtained about the organization. The aim of this study is to find out the organizational dissent behavior of the employees of the hospitality business operating in Rize. To achieve this this goal, 330 employees working in the hospitality businesses have been surveyed. The obtained data were analyzed with LISREL and SPSS programs. Confirmatory factor analysis was conducted to determine the participants' organizational dissent behavior. According to the results, significant differences were found among the dimensions of organizational dissent behavior. In this context, it was determined that “I can voice the issues I disagree with the management” variable has been the most influential on the upward dissent dimension with a ratio of 0.83 while “When I am not satisfied with the practices at work, I share it with other employees” variable has been the most effective on the lateral dissent dimension with a ratio of 0.87. Finally, it was discovered that “I talk about my work-related concerns with people outside of work. ” variable is effective on the displaced dissent dimension with a ratio of 0.71. It was also detected that there is a negative effect of -0.23 between upward dissent dimension and the lateral dissent dimension. In conclusion, as a result of the analysis, it was figured out that there are significant differences among the demographic characteristics of the participants such as age groups, educational status and marital status and their organizational dissent behavior and the displaced dissent dimension.
Genetic distance and diversity of breadfruit (Artocarpus altilis) based on morphological characters in Bawean Island, Indonesia

Abstract. Rahmah W, Waluyo B. 2019. Genetic distance and diversity of breadfruit (Artocarpus altilis) based on morphological characters in Bawean Island, Indonesia. Biodiversitas 20: 3284-3291. One of the ways to preserve species germplasm is by identifying the genetic distance and intraspecific diversity. The aims of this study were to study the distribution and cultivation status, genetic distance, and diversity of breadfruit plants, Artocarpus altilis (Parkinson ex F.A.Zorn) Fosberg, in Bawean Island, Gresik, Indonesia based on morphological characters. The study made 30 accessions of breadfruit plants spread throughout Bawean Island, which were found to be neither cultivated intensively nor used optimally by the inhabitants. The genetic distance showed that breadfruit in Bawean Island was clustered into 6 groups with similarity coefficient of around 0.9984 to 0.9999. The diversity index value of 1.48 indicated medium diversity of breadfruit on this island.
Clustering Analysis for Malware Behavior Detection using Registry Data

The increase of malware attacks may increase risk in information technology industry such as Industrial Revolution 4.0 that consists of multiple sectors especially in cyber security. Because of that malware detection technique plays vital role in detecting malware attack that can give high impact towards the cyber world. In accordance with the technique, one of unsupervised machine learning able to detect malware attack by identifying the behavior of the malware; which called clustering technique. Owing to this matter, current research shows a paucity of analysis in detecting malware behavior and limited source that can be used in identifying malware attacks. Thus, this paper introduce clustering detection model by using K-Means clustering approach to detect malware behavior of data registry based on the features of the malware. Clustering techniques that use unsupervised algorithm in machine learning plays an important role in grouping similar malware characteristics by studying the behavior of the malware. Throughout the experiment, malware features were selected and extracted from computer registry data and eventually used in the proposed clustering detection model to be clustered as normal or suspicious behavior. The results of the experiment indicates that this proposed model is capable to cluster normal and suspicious data into two separate groups with high detection rate which is more than 90 percent accuracy. Ultimately, the main contribution based on the findings is the proposed framework can be used to cluster the data with the use of data registry to detect malware.
Novel compact polarization converters based on ultra short bends

A novel integrated polarization converter based on ultra short bends is presented, which has a potential for low loss and small device size. A conversion value of 85% was experimentally measured with excess loss of 2.7 dB and overall dimensions of 975 x 83 pm. Also 45% conversion was measured with extremely low excess loss of 0.4 dB for a device size of 760 x 86 pm.
STUDIES ON THE COMMUNITY STRUCTURE OF THE TIPULOIDEA (INSECTA, DIPTERA) ASSAMBLAGES OF THE DUPĂ LUNCĂ MARSH, EASTERN CARPATHIANS

A total of 574 adult craneflies belonging to 79 species of Tipuloidea were identified in summer (late May to August between 2004 and 2005) in four different types of habitats from the După Luncă swampy area, Eastern Carpathians. The community structure of the Tipuloidea assemblages from four different habitat, damp meadow, open fen, bushy vegetation in the swamp and shrubs along water courses outside the marsh were analyzed, based on Shannon diversity, abundance and equitability. The bushy vegetation in the marsh and shrubs along the water courses show a highest value of diversity and equitability, these habitats offer suitable refuge for Tipuloidea fauna from here and concentrate a high number of species and individuals during summer. The open grass vegetation are avoid by the majority of the species, but some of them were collected in high number only in such habitats (Molophilus (M.) ater).