Miracle-dz/UniFAR-FTUs huggingface dataset:
SNAPP : Realising the affordances of real-time SNA within networked learning environments

Higher Education Institutions internationally have continued their trend for adopting increasingly sophisticated information and communication technologies (ICTs) in order to provide students with greater flexibility in their studies and more timely access to learning materials and communication tools beyond the classroom. Despite the apparent benefits these technologies bring, teaching staff are quick to note that online technologies lack the multiple student learning cues that are available through more traditional modes of education delivery (face to face). For example, observing classroom cues that assist teachers in identifying which students may require further instruction and mediation. Resources which evaluate the way students are utilising the online tools and interacting with each other have, to date, been largely neglected, thus there are limited resources for teachers to access ongoing and informal learning indicators within the online environment. As a result, the online education environment has suffered from a lack of readily available learning-progress data that can assist teaching staff in designing learning activities, and assessing and identifying individuals requiring early learning interventions. This paper outlines the development of a tool designed to provide educators with real-time evaluative data to better support student learning. The Social Networks Adapting Pedagogical Practice (SNAPP) tool extracts student online network data and renders this information into a readily interpretable user-interface. The monitoring of student social networks has been demonstrated to assist educators in identifying instances of learner isolation (McDonald, Stuckey, Noakes, & Nyrop, 2005), creativity (Burt, 2004), and community formation (Dawson, 2008; De Laat, Lally, Lipponen, & Simons, 2007). The ability to view social graph structure and community evolution is crucial to successful facilitation and serves as an early indicator of the success of a learning activity design as well as information about student participation and potential performance. The lack of real-time analysis and visualisation tool integration within current Learning Management Systems has hindered the update of SNA and left its potential as a diagnostic tool unrealised. This paper argues for the need for realtime social graph visualisation, describes the design principles behind the development of SNAPP and highlights the key participant and community structural patterns that SNAPP allows forum facilitators to visualise.
Examining the Role of usefulness , ease of use , perceived risk and trust

The past decade has been the emergence of digital mobile devices as the main means of communication among consumers. Internet banking has been in existence during the past few years. The natural progress from that is Mobile Banking. The purpose of this paper is to examine the key factors influencing Indian customers’ adoption of mobile banking. The research model was based on the Technology Acceptance Model (TAM). This was extended by adding perceived risk and trust as an external factors. Correlation and t – test was conducted to analyse the data collected from the field survey questionnaires administered to a convenience sample of Indian mobile banking users. The result showed that mobile banking adoption is significantly influenced by perceived usefulness, perceived ease of use, perceived risk and trust. This submission has attempted to fill this gap by empirically examining some of the important factors influencing the adoption of mobile banking from the Indian customers’ perspective.
Incidencia de la Tutoría entre Iguales en el Autoconcepto Lector

This study investigates the development of the Reading Self-Concept and of the mechanisms underlying it, within a framework of a reading programme based on peer tutoring. The multiple methodological design adopted allowed for a quantitative approach which showed statistically significant changes in the Reading Self-Concept of those students who played the role of tutor in fixed peer tutoring. The qualitative approach of the analysis suggests that by performing the tutor’s role, in an induced work atmosphere, by reading aloud and actively listening, by evaluating their effort, and engaging in meta-cognitive reflective processes, students become aware of their own capabilities and of their possibilities of improvement; thus promoting the development of the tutor’s Reading Self-Concept.
TM IN VITRO REGENERATION OF EUPATORIUM TRIPLINERVE VAHL-AN IMPORTANT MEDICINAL HERB THROUGH AXILLARY BUD CULTURE

Eupatorium triplinerve Vahl. commonly known as Ayapana belongs to the family Asteraceae is a rich source of coumarin which is widely prescribed drug warferin. The present study aimed to develop an efficient protocol for in vitro regeneration through the culture of axillary bud explant. Murashige and Skoog (MS) medium as basal medium and supplemented with different concentrations and combinations of 6-benzyl amino purine (BAP), αnaphalene acetic acid (NAA) and indole butyric acid (IBA) were employed in order to shoot induction, multiplication and rooting. The maximum percentage of shoot induction with 4.93 ± 0.06 of shoots was produced on the medium fortified with 17.76 μM/L of BAP and 2.69 μM/L of NAA. The well initiated shoots were sub cultured on fresh medium with same composition for further multiplication of shoots. The medium enriched with 22.20 μM/L of BAP and 2.69 μM/L of NAA was found to be efficient for maximum percentage of shoot multiplication with the highest number of shoots (26.00 ± 1.15) and mean shoot length of 4.00 ± 0.28 cm. The effective root induction with maximum number of roots was obtained on the half strength MS liquid medium supplemented with 9.84 μM/L of IBA. The well rooted healthy plantlets were hardened under greenhouse condition and establish successfully with 90% of survival. This protocol may be useful for the large-scale production of this plant and other medicinal plants.
Interactive Digital Storytelling : Automatic direction of virtual environments

Virtual environments are a digital media in which each time more stories are told with the purpose of teaching, training, entertaining or communicating something to the users. Predefined scripts, plenty of interaction freedom and even the simulation of a fictional world and its inhabitants are not enough to create quality stories. Since late eighties, a growing scientific community has being developing intelligent systems able to direct automatically everything that happens in a virtual environment, in order to adapt the story to the application goals and the particular characteristics of each interactor. This paper presents an updated review of the steps forward, results in the form of implemented systems and pending tasks of this research line.
Effect of Motivational Interviewing on Hypertension, self-care and Quality of Life of Rural Aged People: Application of Health Belief Model

Copyright© 2019, ASP Ins. This open-access article is published under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License which permits Share (copy and redistribute the material in any medium or format) and Adapt (remix, transform, and build upon the material) under the Attribution-NonCommercial terms. ISSN: 2383-2150; Journal of Education and Community Health. 2019;6(2):95-101. DOI: 10.21859/jech.6. 2.95
In vitro Evaluation of Anti-urolithic and Anti-hemolytic activity of Aerva lanata Ethanolic extract

Aerva lanata Linn, belonging to Amaranthaceae family is a medicinally important plant. Different plant parts are used in various ailments in folk medicine. The current study aimed at investigating the in vitro antiurolithic and hemolytic activities of A. lanata. Therefore, its ethanolic extract has been investigated for possible antiurolithic and anti-hemolytic effects. Aerva lanata Ethanolic extract (ALE) exhibited potent anti-hemolytic action in a dose dependent way and at higher concentrations also showed (2.58%) of haemolysis. In addition ALE showed antiurolithic activity (63.13%). Hence the present study revealed that ethanolic extract of Aerva lanata might be used as adjuvant therapy for hemolytic anaemia as well as renal related disorders.
Effects of kinetin on the morpho-physiological and biochemical characteristics of stevia ( Stevia rebaudiana )

Khandaker, M. M. , Liyana, N. , Majrashi, A. , Dalorima, T. , Alias, N. & Mat, N. (2018). Effects of kinetin on the morpho-physiological and biochemical characteristic of stevia (Stevia rebaudiana). Bulgarian Journal of Agricultural Science, 24(4), 638–647 Stevia is a medicinal herb commonly known as sugar leaf under Asteraceae family. Stevia leaves are in growing demand as a natural sweetener, and the health benefi ts of the herb have created an interest among researchers. However, stevia plant is a slow growing herb and biomass yield is low due to slow initial plant growth rate, less number of leaves and small leaf area. In addition, less stevioside activity some times causes poor sugar content in the leaf. The aim of the study is to investigate the effects of kinetin on morpho-physiological and biochemical characteristics of Stevia rebaudiana. Besides that, this study was conducted to determine the effects of kinetin on antioxidant activity of Stevia rebaudiana. The stevia plants were sprayed with 0, 10, 20, 40 and 80 mg/L of kinetin under green house conditions. Parameters such as height of plant, leaf number, area of the leaf, leaf chlorophyll content, chlorophyll fl uorescence, photosynthesis rate, stomatal conductance, total soluble solids, carotene content and antioxidant activity through DPPH assay were measured and determined. The results showed that the application of 10 mg/L kinetin increased plant physiological activities, leaf area, and photosynthetical characteristics of stevia plants. In addition, total soluble solids, carotene content and antioxidant activity were also increased signifi cantly with 10 mg/L kinetin treatment. It can be concluded that spraying with 10 mg/L kinetin twice a week improved morpho-physiological characteristics and increased biochemical properties of stevia plants.
Machine Learning for Power Plants Cyber Security

Nowadays, industrial development is in the midst of a transformation to keep up with the increasingly complexity, competitive production and economic needs. Oppositely, the integration and control required by Industry 4.0 between IT and OT has been raising new challenges, especially in the eld of Cyber Security. In the area of energy production, there has been aacks that led to the shutdown or even the explosion of power plants areas, e.g. Davis-Besse or the infected Natanz Iranian nuclear power plant. is has fostered the adoption of Intrusion Detection Systems (IDS) that, however, show an high false positive rate. In this context, this work aims to increase the awareness of what is happening within the plant through the development of a support tool for the plant emergency team. e proposed systemwas applied to the Santa Barbara ENEL power plant in Italy, showing promising results.
EVALUATING THE PERFORMANCE OF THE MOTLEY FOOL ’ S STOCK ADVISOR TM

Since March 2002, The Motley Fool’s founders, David Gardner and Tom Gardner, have published monthly stock recommendations under Motley Fool’s premium Stock Advisor service. In this paper, the authors investigate whether analysts’ recommendations can add value for investors by examining the performance of portfolios constructed based on Motley Fool’s recommendations. They evaluate the announcement effect on share price corresponding to the publication of stock recommendations. Additionally, the researchers examine holding period returns for a portfolio imitating the actions of Stock Advisor. They find portfolios composed of recommendations through Stock Advisor added value initially upon recommendation and across extended holding periods. Additionally, the authors find that the Stock Advisor sample outperforms other sample portfolios on a risk-adjusted basis and over several subperiods. The findings contribute to the literature on the usefulness of analysts’ recommendations in adding value to investors’ portfolios. Greg Filbeck (USA), Alexander Lyon (USA), Xin Zhao (USA) BUSINESS PERSPECTIVES LLC “СPС “Business Perspectives” Hryhorii Skovoroda lane, 10, Sumy, 40022, Ukraine www.businessperspectives. org EVALUATING THE PERFORMANCE OF THE MOTLEY FOOL’S STOCK ADVISORTM Received on: 12th of July, 2017 Accepted on: 27th of September, 2017
Generic Orthotopes

This article studies a large, general class of orthogonal polytopes which we may call"generic orthotopes". These objects emerged from a desire to represent a Coxeter complex by an orthogonal polytope that is particularly nice with respect to traditional topological, structural, or combinatorial considerations. Generic orthotopes have a pleasant"homogeneity"property, somewhat like a smoothly bounded compact subset of Euclidean space. Thus, as soon as we demand that every vertex of an orthogonal polytope be a floral arrangement, as defined here, many derivative structures such as faces and cross-sections are also described by floral arrangements. We also give formulas for the volume and Euler characteristic of a generic orthotope using a couple of statistics that are defined naturally for floral arrangements.
Heterogeneous spillover effects from FDI : Domestic learning capacity and technological opportunities

This article examines the relationship between MNEs investments and the productivity of domestic firms, by examining the relevance of the heterogeneous ability of local companies to successfully learn from foreign multinationals and the role of the specific technological environment they belong to. Conceptually, we draw on insights from the strategic management and the economic geography literatures in order to formulate hypotheses on the knowledge acquisition behaviour of domestic firms in a spatial perspective when they are subject to diverse technological opportunities and constraints. We exploit data on 85,323 Italian manufacturing firms observed over the period 2003-2009 as well as information on FDI flows into Italian provinces (NUTS3). Our analysis is based on panel data techniques and it is subsequently extended to an instrumental variable empirical setting. Results suggest that the relationship between MNEs investments and domestic firms is highly heterogeneous and that the emergence of positive spillovers crucially relies on both domestic firms’ internal learning capacity and the technological opportunities provided by their operational environment.
Evaluating the Success of an Online Collaboration and Communication System : The Case of the Belize Defence Force

There are vast amount of research conducted on the success of information systems using the IS Success Model by DeLone and McLean consisting of six dimensions: information quality, system quality, service quality, use, user satisfaction and perceived net benefit. Little research though, has been done on IS Success in for Collaboration and communications systems for developing countries military. This study provided an empirical test of a modification to the IS model with the inclusion of complementary technology quality and computer self-efficacy as a construct of measure. Thus, this research focused on the seven modified dimensions in an effort to provide empirical evidence of the success of The Kerio Connect Client Collaboration and Communication system and determine which attributed the most perceived net benefits. In applying these constructs, we will see what is most favorable about the system if any and what is lacking whether system requirement or skill requirement, thus, the most successful in usage for the Belize Defence Force. This paper will conclude by discussing the limitations of the study, which should be addressed in future research.
Can weather index drought insurance benefit to Least Developed Countries ' farmers ? A case study on Burkina Faso

By using a detailed agricultural and climate dataset over Burkina-Faso and very simple assumptions regarding the form of an insurance contract, we investigate the potential feasibility and interest for farmers of a weather-index insurance system in this country. To do so, we explore the results of more than 3.000 simulated contracts applied to 30 districts, 21 years (1984-2004) and 5 crops (cotton, millet, sorghum, maize and groundnut). We find that such an insurance system, even based on a simple weather index like cumulative rainfall during the rainy season, can present a significant economic efficiency. The determinants of the efficiency of such contracts are the correlation between the weather index and yields and the year-to-year variability of the yield. As a consequence of these two determinants, the farmer’s gain from an insurance contract is higher in the driest part of the country. In the same way, maize and groundnuts are the most suitable to implement an insurance system since their respective yields show a large variance and a generally high correlation with the weather index. We also explore some limits of such insurance contracts. The spatial scale appears to be key issue since the interest of the insurer is likely to have the largest area included in the same contract to cut transaction costs while the high spatial variability of rainfall strongly limits the scale at which one can reasonably implement an insurance contract based on a single weather index. Here we suggested that the district scale (around 7000 km2 in average) is the maximum scale appropriate for a single weather index insurance contract. Another important difficulty is the necessity to update, over time, the parameters that define the insurance contract, if the weather index happens to show a trend. In the context of a changing climate, this clearly poses difficulty to the implementation of an insurance system. We suggest a simple “append” method that could be efficient to update the insurance contracts. * contact author. quirion@centre-cired.fr
Complications after percutaneous nephrolithotomy: A single-centre experience

Percutaneous nephrolithotomy (PCNL) is the “gold standard” technique for managing of patients with kidney stones different sizes and intrarenal localization. During over than 30 years of PCNL use urologists tried to establish parameters and characteristics that are responsible for procedure complications that usually occurs in 20-83% of cases. The aim of our study was investigation of the predictive factors of PCNL complications development. We retrospectively analyzed our experience in the treatment of 2223 patients (pts) with kidney stones who were managed by PCNL at our clinic from 2008 till 2014 years. By using Charlson scale we calculated CCI for ever patient and afterwards divided all patients of 6 groups: group 1 (CCI = 0), group 2 (CCI = 1), group 3 (CCI = 2), group 4 (CCI = 3), group 5 (CCI = 4), group 6 (CCI = 5), group 7 (CCI > 5). The increasing of percutaneous tracts number, presence of renal calculi with GSS-3 and GSS-4 as well as total ССІ score ≥3 in patients who underwent PCNL could be considered as prognostic factors of complications development.
EasyChair Preprint No 1218 Risk and Error Matrix charts

Measuring classifier performance is important in ma chine learning. Risk charts and error matrix charts have been developed for this pu rpose. The strengths and weaknesses of using these charts are outlined. Challenges with us ing these charts are discussed including how base rates and using prevalence data for building m odels and incidence data for evaluating models affect model performance. A number of soluti ns for overcoming these challenges are covered
Loughborough University Institutional Repository Under-actuated back-stepping : An introduction

The stabilization problem for a class of underactuated systems is solved. This is achieved via a novel backstepping based method that we call under-actuated backstepping. The method is developed for linear under-actuated systems first and then extended to nonlinear systems via an example. Numerical simulations are given to demonstrate the effectiveness of the proposed under-actuated back-stepping method.
TECTONIC SETTING ANALYSIS IN MOLLUCAS SEA USING TELESEISMIC DOUBLE DIFFERENCE METHOD

Earthquake relocation is important to be applied for obtaining high resolution of earthquake location, analyzing tectonic setting, studying velocity structure model, and anlyzing global and local studies of seismicity. One of the relocation methods was teleseismic Double-Difference method which use 3D seismic velocity model. This research has been conducted by relocating the earthquake that occurred in the Mollucas Sea. We relocated 7042 of the 8845 earthquakes. Results of the hypocenter relocation using teleseismic Double-Difference show a better hypocenter, so earthquakes with a certain depth (fixed depth = 10km) has been relocated and the distribution of hypocenter relocation may indicate the tectonic phenomenon such as subduction in Mollucas Sea.
Body image satisfaction , perfectionism , and eating disorder symptoms in pregnant women

Background and aims: Different psychological determinants play a role in the development of disordered eating attitudes, among which are self-esteem, body image dissatisfaction, perfectionism, depressiveness, and anxiety. However, previous studies have rarely been focused on eating disorder symptoms in pregnant women whose body image changes during pregnancy. Therefore, the goal of this study was to examine the occurrence of eating disorder symptoms in pregnant women and to examine whether they could be predicted by body image satisfaction, self-esteem and perfectionism, after controlling for body mass index (BMI), gestational weight gain, depression, and anxiety symptoms. Method: In a cross-sectional study, 285 pregnant women anonymously filled in questionnaires measuring eating disorder symptoms (Eating Attitudes Test, Adolescent Dieting Scale), perfectionism (Positive and Negative Perfectionism Scale), self-esteem (Rosenberg Self-Esteem Scale), body image satisfaction (Body Areas Satisfaction Scale), depression symptoms (Edinburgh Protection and promotion of the well-being of children, youth, and families 174 Postnatal Depression Scale), and anxiety (subscale anxiety from Depression, Anxiety, and Stress Scale). Results: Between 1-3% of the pregnant women reported extreme symptoms of eating disorders. Out of the whole sample, in 27.1% the physician prescribed a diet, mainly due to gestational diabetes. However, out of the women who were not prescribed a diet, 21.7% reported moderate to extreme dieting. A hierarchical regression analysis showed that eating disorder symptoms could be predicted by a higher body mass index, higher positive perfectionism, and anxiety. Anxiety had a differential role in predicting dieting behavior in the women who were prescribed a diet and the ones who were not. Conclusion: To conclude, a notable proportion of the women report risky eating behaviors and attitudes which should be screened for as an integral part of standard prenatal care.
Title Relative Income , Suicidal Ideation , and Life Satisfaction : Evidence from South Korea

The relative income hypothesis predicts that an individualʼs level of happiness decreases in othersʼ income. We examine its empirical relevance in South Korea using large survey data from the Korea Welfare Panel Study. We find evidence that higher peer income is strongly correlated with life satisfaction, but its effect on suicidal ideation is modest and largely insignificant. We also find that the effect of peer income is highly heterogeneous; those who consider themselves relatively poorer seem to be more strongly (and adversely) affected by their relative disadvantage than those relatively richer are (positively) affected by their relative advantage.