Miracle-dz/UniFAR-FTUs huggingface dataset:
Document Summarization using Graph Based Methodology

: This paper works towards constructing a short summary of documents with the help of natural language processing techniques. The authors goal is to identify the important aspects of a large piece of textual information, extract it and present it in a concise manner such that it conveys the information in a more efficiently and precisely. The proposed approach will generate a simple summarization of one or more documents which will help the readers to understand what the documents offer to them and identify their context without reading through them entirely. The existing methods for this work focus on different aspects of the text involved but the efficiency of these methods largely varies. The proposed methodology makes use of a combination of multiple aspects of text instead of a single aspect in order to improve the efficiency of summarization systems. The authors present a qualitative and quantitative analysis of their system as compared to the existing base-lines and demonstrate our system for a relevant application like news snippet generation.
An integrated model of social crowding and tourists’ environmental responsibility behaviour: mediating effects of sense of control and self-efficacy

ABSTRACT Based on the theory of environmental psychology, this study tries to explore the impact of social crowding on tourists’ environmental responsibility behaviour. We built a double-mediation structural equation model, collected 365 valid data through questionnaires, and used AMOS24.0 software to test the hypothesis model, found that: (1) social crowding has a positive impact on tourists’ environmental responsibility behaviour; (2) both sense of control and self-efficacy mediate this process.
Spatio-temporal patterns of foraging behaviour in a wide-ranging seabird reveal the role of primary productivity in locating prey

Predicting the distribution and behaviour of animals is a fundamental objective in ecology and a cornerstone of conservation biology. Modelling the distribution of ocean-faring species like seabirds remains a significant challenge due to ocean dynamics, colony-specific effects and the vast ranges seabirds can cover. We used a spatial and behavioural approach to model the distribution of the Manx shearwater Puffinus puffinus, a pelagic, central-place forager that can cover great distances while foraging. GPS data from birds tagged in 2 colonies over 3 yr were modelled with a range of environmental predictors of marine productivity. For both colonies, transitions to foraging behaviour correlated with chlorophyll a, and the distribution of foraging behaviour was also associated with areas of high chlorophyll a concentration in coastal but not offshore areas for one colony. Furthermore, there was evidence for colony differences in habitat use, prevalence of nocturnal foraging, and for some competitive exclusion on foraging grounds, even though the colonies were 170 km apart. Despite the extensive dataset, our models had modest predictive power, which we suggest can probably only be improved by including biotic interactions, including more direct measures of food resource distribution. Our results highlight the importance of including spatial complexity and data from multiple sites when predicting the distribution of wide-ranging predators, because patterns of distribution and habitat use likely differ across the range of a population.
Analyzing the Performances of Water User Associations to Increase the Irrigation Sustainability: An Application of Multivariate Statistics to a Case Study in Italy

Benchmarking techniques are useful and simple tools to analyze the performance of the collective irrigation in the Water User Associations (WUAs) towards an increase in service sustainability. Several benchmarking techniques have been proposed to process and predict performance indicators. Instead, some meaningful statistical techniques based on the distance of data samples, which overcome the limitations of the traditional benchmarking techniques, have never been applied to the collective irrigation sector. This study applies Permutational Multivariate Analysis of Variance (PERMANOVA), Multidimensional Scale Models (MDS), and Distance-Based Linear Models (DISTLM) as benchmarking techniques to evaluate the technical and financial performances of 10 WUAs in Calabria (Southern Italy). These benchmarking techniques revealed that the significant differences in the irrigated areas and financial self-sufficiency of the WUAs, shown by PERMANOVA, depend on the large variability of the remaining performance indicators. Both the MDS and DISTLM demonstrated that a higher number of associated users and larger irrigation service coverage allows an increase in the irrigated areas; this enlargement is facilitated if the water price and the size of the personnel staff decrease. The WUAs’ self-sufficiency is mainly influenced by the number of workers and the maintenance, organization, and management costs, while the impacts of the due service fees and water price are more limited; it is also convenient to increase the number of the associated farmers since this increases the economy of scale and the gross revenues of the irrigation service. Overall, from the analysis carried out for the regional case study, these benchmarking techniques seem to be powerful and easy tools to identify the problems of the irrigation service and help in planning the most suitable policies to improve the sustainability of the collective irrigation at the regional scale.
Surgical Treatment of Central Giant Cell Granuloma with Carnoy’s Solution

A 25-year-old woman presented a unilateral mandibular swelling, after laboratory analysis, radiological studies and aspiration puncture biopsy, the pathological diagnosis of Central Giant Cell Granuloma was made. Radiographically, the multilocular lesion involved the left lower first molar and was 30 mm long by 20 mm high. Dental extraction of the molar involved with forceps and exeresis in toto of the tumor were performed using a Volkmann cutting curette. The tumor made up of 90% vascular tissue produced intra-surgical bleeding that made visibility difficult. The bone bed curettage was aggressive except for its base in direct contact with the inferior dental nerve. Subsequently, to avoid recurrence, the surgical protocol includes a double irrigation with Carnoy’s solution, (fixative composed of 60% ethanol, 30% chloroform and 10% glacial acetic acid 98%) for 5 minutes that produces chemical cauterization. Finally, it was washed with physiological solution and the cavity was filled with iodoformed gauze. The gauze was exchanged and removed gradually over three weeks for second intention healing. This case is presented to demonstrate that inexpensive chemical treatment can be safely used for outpatient surgery under local anesthesia. Because Carnoy’s solution achieved control of intraoperative bleeding, allowed bone healing and prevented recurrence of the lesion in clinical radiographic follow-up for 15 years.
Photoprotective activity of medicinal plants from the caatinga used as anti-inflammatories

Background: Exposure to ultraviolet (UV) radiation may cause photoaging, unsightly marks, or dangerous lesions, such as carcinomas and/or melanomas. Sun filters are substances capable of absorbing, reflecting, or refracting UV radiation and thus protect the skin from direct exposure to sunlight. The current trend in the cosmetics industry, in Brazil, is to rationally explore local biodiversity as a way of developing products of natural origin, especially derived from plants. Objective: The present study aims to determine the in vitro sun protection factor (SPF) of 15 species from the Caatinga region used in popular medicine as anti-inflammatories. Materials and Methods: Samples of duly identified plant species were dried and ground and hydroethanolic extracts were obtained (80:20). Spectrophotometric analyses were carried out to determine the SPF, antioxidant activity, and quantification of secondary metabolites. In vitro calculation of SPF was based on the method developed by Mansur. Results: Erythrina velutina Willd. had the best SPF of 9.71 ± 1.29 at a concentration of 100 mg/L. Conclusion: The study showed that native species to the Caatinga used by the local population to treat inflammatory disorders have good photoprotective potential and could be used for pharmaceutical preparations to this end. Abbreviations used: ANOVA: Analysis of variance; AOA: Antioxidant activity; CC: Coumarin content; CE: Coumarin equivalent; DNA: Deoxyribonucleic acid; DPPH: 2,2-diphenyl-1-picrylhydrazyl; IC50: Inhibitory concentration 50%; LEA-UFPE: Laboratory of Ecology and Evolution of Social-ecological Systems-Federal University of Pernambuco; RE: Rutin equivalent; SPF: Sun protection factor; TAE: Tannic acid equivalent; TFC: Total flavonoid content; TPC: Total phenolic content; TTC: Total tannin content; UFPE: Federal University of Pernambuco; UFRPE: Federal Rural University of Pernambuco; UV: Ultraviolet; UVA: Ultraviolet type A; UVB: Ultraviolet type B; UV-VIS: Ultraviolet-visible
An Investigation of the Factors Affecting Inflation Perceptions: A Case Study on Business and Economics Undergraduate Students

The aim of this study is to investigate the factors behind the inflation perceptions of undergraduate students of economics and business. Factors, such as education in economics, sociodemographic conditions, cognitive abilities, financial situation and consumption habits are investigated. The empirical evidence suggests that economics students on the average estimate a higher level of inflation than the official rate however their perceptions are closer to actual rates compared to the other students. The findings reveal that economic literacy, financial situation, gender, and the degree of trust regarding official measures of inflation, and purchase frequency of goods also influence inflation perceptions significantly.
Thermally Stimulated Current in Low-density Polyethylene/MgO Nanocomposite -On the Mechanism of its Superior Dielectric Properties-

Recently polymer nanocomposite has been attracting much attention as an emerging insulating material. In this paper, we measured thermally stimulated depolarization current (TSDC) in low-density polyethylene (LDPE)/MgO nanocomposite by changing measuring parameters such as the temperature increasing rate and the intensity of electric field applied. As a result, a TSDC peak that spreads over a wide temperature range from 0°C to 60°C was observed in all the samples. As the amount of MgO nano-filler increases, the TSDC peak height decreases. Furthermore, by adopting a partial heating method, the wide TSDC peak was resolved into several component peaks. Among them, the peak at around 12°C was found not to appear in the base LDPE. By analyzing its initial rising portion, the 12-°C peak was assumed to have a fairly deep energy depth of about 2 eV. These results indicate that charge carriers tend to be captured more strongly by the addition of MgO nano-fillers. If these captured charge carriers induce homocharge layers in the vicinity of the electrodes, further formation of space charge would be suppressed. This seems to explain the fact that the amount of space charge is smaller in the nanocomposite with a proper addition of MgO than in the base LDPE.
Proton transfer, electron binding and electronegativity in ammonium-containing systems

Using modern electronic structure methods, the ammonia-hydrogen halide complexes and their anions are characterised to determine the number, type, and properties of their minima, and their electron binding energies. Methodological issues of determining the potential energy surfaces of reactive monomers are addressed in the course of this investigation. The energetic origins of the hydrogen-bonded minima are determined by evaluation of the one-body and two-body terms composing the total energy of the complexes, and a rationale for the drive to proton transfer is presented. It is concluded that the systems have qualitatively similar potential surfaces, and that the balance of the one-body and two-body forces determines the number and depth of minima, while the electron acts as a perturbing agent on the oneor two-body energy, depending upon the nature of the minimum encountered. The halogen-bonded structures of ammoniahydrogen bromide, iodide, and astatide complexes are shown to be stable, and one may perhaps bind an electron. The concept of the ammonium radical as a pseudo-atom is presented and tested. It is found to show competing pseudo-atomic and molecular properties.
POLITENESS IN DOMESTIC VERBAL VIOLENCE AGAINST WOMEN IN INDONESIA

Kesantunan berbahasa tidak hanya terjadi di dalam situasi resmi, normal, dan dalam komunikasi yang baik, tetapi juga dalam situasi tidak resmi, tidak normal, dan penutur dalam keadaan marah. Penelitian ini bertujuan untuk membahas bentuk kesantunan berbahasa seseorang yang sedang marah. Data diperoleh di Sumatera Barat. Data dikumpulkan melalui mencatat, merekam, dan melakukan wawancara. Analisis data menggunakan konsep kesantunan dan kekerasan verbal terhadap wanita. Hasil temuan dianalisis secara deskriptif yang ditambahi dengan beberapa tabel untuk menyajikan data tertentu. Hasil temuan menunjukkan bahwa ada empat bentuk kesantunan di dalam kekerasan verbal domestik terhadap wanita, yaitu permintaan, penolakan, janji, dan ekpresif. Kesantunan dalam bentuk permintaan menjadi pola yang dominan, yaitu 37%. Hal demikian terjadi karena penutur menginginkan wanita atau istrinya melakukan apa yang mereka minta. Kata kunci : kesantunan, kekerasan verbal, wanita, pragmatik, Indonesia Politeness happens in good situations not only in regular dan formal conversations with the speaker, but also in non-formal and irregular conversation, and the speaker is in a bad situation. This article is, then, aimed at describing the forms of the politeness of the speakers who are in anger. The objective of the study is to identify the forms politeness in that verbal violence. The data were taken in Sumatera Barat. To obtain the data, the observational method with note-taking, recording, and interviewing was conducted. Fifteen women were being interviewed, and thirteen men (husband) from Sumatera Barat. The data were analyzed by using the concept of politeness (Oktavianus & Revita, 2013) and verbal violence against women (Cantwell, Farzanegan, & Khan, 2000). The result of the analysis is descriptively done in which some tables and charts were used to display the number of the occurrence of certain data. The percentage was also used. The findings pointed out that there were four forms of politeness in domestic verbal violence. They are politeness of 1) request; 2) refusal; 3) promise; and 4) expressiveness. Politeness of requests occurs most dominantly because the speakers wanted these women to do what they expected.
Minerando Regras de Associação de Multirrelação na Web de Dados

A Web de Dados é uma relevante e crescente fonte de dados que contém informações distribuídas em diferentes datasets interligados. A maioria dos algoritmos de mineração de dados foi projetada para analisar um único dataset por vez, e, consequentemente, não consegue explorar as conexões entre datasets da Web de Dados. Para suprir essa lacuna, este trabalho propõe o MRAR+, um algoritmo de mineração de grafos que busca por regras de associação multirrelação a fim de identificar conhecimentos novos que envolvam recursos de múltiplos datasets da Web de Dados. O MRAR+ foi aplicado com sucesso em dois experimentos e produziu regras novas e úteis para os usuários, ilustrando a sua viabilidade para minerar diferentes datasets interligados na Web de Dados.
Insights Into Mount Etna December 2018 Eruption From Joint Inversion of Deformation and Gravity Data

We present results of the joint analysis of ground deformation and superconducting gravity data encompassing Etna's December 2018 eruption. The horizontal ground deformation points to a mechanism of dike opening. Accordingly, we consider forward analytical models describing the effects of a tensile dislocation and use two data inversion approaches, based on heuristic and probabilistic methods. The observed changes can be explained assuming the intrusion of a fluid lighter than bubble‐free magma, along a dike‐like structure. However, the poor fit to the vertical deformation and the discrepancy between bulk volume increase, deduced by the data inversion (some tens of millions of m3), and volume emitted through effusive activity (∼1 × 106 m3) suggest that a more complex mechanism led to the eruption, involving partial inelastic accommodation of the strain and the formation of void space through increase in the fracturing rate of the medium.
Innovation Mechanisms in Electronics Industry

This study investigates innovation at Mycronic AB, a company which has seen a decrease in their innovation capacity over the last several years, compared to past development efforts. It studies past projects from a knowledge management perspective to understand if potential barriers towards reusing innovation mechanisms could explain the decrease in innovation capacity seen today. A literature study was performed to deepen the understanding of the field of knowledge management, and technology management, and especially what is important for organization to be innovative. This knowledge was the foundation for a case study, which investigated innovation mechanisms and barriers from past projects. The identified barriers could, in part, explain why the company has been unable to reuse the knowledge from these past projects. The identified barriers could serve as a starting point for continued work with KM. Overcoming these barriers could over time improve innovation.
Measuring guest satisfaction from online reviews: Evidence in Vietnam

Abstract Mining of guest’s online reviews is a new trend study that helps managers understand customers’ feeling with services they provide. The satisfaction or dissatisfaction of guest who experienced very important to manager. Hotel managers can be improve the quality of the service through reviews of guest. In this study, the authors present a solution to measure guest satisfaction about Vietnamese hotels through online reviews. Natural language processing technology and machine learning were used to analyze the satisfaction of guest through 06 criteria including: staff, food, room, sevices, location and value. With the data crawled from TripAdvisor, Vietnamese hotel reached up to 72% on average for all criteria and the most satisfactory was the staff reached 77.3%.
The structural and functional connectivity neural underpinnings of body image

How we perceive our bodies is fundamental to our self-consciousness and our experience in the world. There are two types interrelated internal body representations—a subjective experience of the position of a limb in space (body schema) and the subjective experience of the shape and size of the limb (body image). Body schema has been extensively studied, but there is no evidence of the brain structure and network dynamics underpinning body image. Here, we provide the first evidence for the extrastriate body area (EBA), a multisensory brain area, as the structural and functional neural substrate for body shape and size. We performed a multisensory finger-stretch illusion that elongated the index finger. EBA volume and functional connectivity to the posterior parietal cortex are both related to the participants’ susceptibility to the illusion. Taken together, these data suggest that EBA structure and connectivity encode body representation and body perception disturbances.
ESTIMATING THE AVERAGE RESPONSE FOR THE LINEAR MIXED MODEL USING SOME NON-PARAMETRIC METHODS

This study aims to test a new treatment that has been developed for type 2 diabetes, by estimating the response of diabetics by experimenting number of mixed linear models, non-parametric, where they were compared by relying on the coefficient of determination and the standard error for the random errors in order to determine the appropriate model and then measure the effectiveness This new treatment is for type 2 diabetes. Therefore, some non-parametric methods were used in estimating the average response for the mixed linear model. The method of the kernel smoothing function was used by employing the Gaussian and Epanchnikov family functions, as well as some formulas of the Cross Validation method. To estimate Bandwidth as Scott and Silverman. An experiment for a new treatment for type 2 diabetes was chosen as an application of the mixed linear model, by experimenting with this drug on a sample of patients who were divided into three different age groups and performing laboratory tests for a period of three months, and then estimating their response rates to the new drug through four models Different. The results demonstrated that the A mixed non-parametric linear model with (Gaussian) function and the (Scott) package was the best fit model for this study, as it gave the largest determination coefficient and the lowest standard deviation of the error, as well as the new drug, was not effective in regulating blood sugar level for all age groups of patients. Smoothing, Bandwidth.
A Multidimensional Assessment of Metacognition Across Domains in Multiple Sclerosis

Abstract Objective: In neurological diseases, metacognitive judgements have been widely used in order to assess the degree of disease awareness. However, as yet little research of this type has focused on multiple sclerosis (MS). Method: We here focused on an investigation of item-by-item metacognitive predictions (using feeling-of-knowing judgements) in episodic and semantic memory and global metacognitive predictions in standard neuropsychological tests pertinent to MS (processing speed and verbal fluency). Twenty-seven relapsing–remitting MS (RR-MS) patients and 27 comparison participants took part. Results: We found that RR-MS patients were as accurate as the group of comparison participants on our episodic and semantic item-by-item judgements. However, for the global predictions, we found that the MS group initially overestimated their performance (ds = .64), but only on a task on which performance was also impaired (ds = .89; processing speed). We suggest that MS patients, under certain conditions, show inaccurate metacognitive knowledge. However, postdictions and item-by-item predictions indicate that online metacognitive processes are no different from participants without MS. Conclusion: We conclude that there is no monitoring deficit in RR-MS and as such these patients should benefit from adaptive strategies and symptom education.