Reviewerly/exHarmony huggingface dataset:
Teachers’ Professional Development on Media and Intercultural Education. Results from some participatory research in Europe

Abstract Media and intercultural education are being increasingly recognised as a fundamental competence for teachers of the 21st century. Digital literacy and civic competence are facing several new challenges in response to the intensification of migratory phenomena and the unprecedented spread of fake news, especially among adolescents at risk of social exclusion, but teachers’ professional development is still far from coping with this emerging need. Intercultural understanding and a critical use of media among adolescents have now become primary goals for the promotion of active citizenship. This article intends to provide some recommendations on how to support teachers’ professional development in the field of media and intercultural education. To this purpose, it presents and discusses the results of an action-research project aimed at teachers’ improvement of teaching skills about the media in multicultural public schools. The results are part of a larger European project “Media Education for Equity and Tolerance” (MEET) (Erasmus Plus, KA3), an initiative promoted in 2016–2018 by the University of Florence (Italy).
Trajectory Tracking for the Bebop Parrot quadrotor using Takagi-Sugeno fuzzy models

In this work, we propose a control strategy to solve the 3D positioning of a commercial quadrotor.A parallel distributed compensation (PDC) fuzzy controller is implemented using the tracking error equations.The results are developed for a Lyapunov fuzzy function and are solved in terms of linear matrix inequalities (LMI)s.The experimental results show the efficiency of the fuzzy controller to perform trajectory tracking.
Relationship between Nurses’ Knowledge of Initial Assessment and Application of Early Warning System At Emergency Department of Type A Hospital In Jakarta

&lt;div class="WordSection1"&gt;&lt;p class="AbstractContent"&gt;&lt;strong&gt;Objective:&lt;/strong&gt; Early warning system (EWS) is a physiological scoring to observe the patient’s condition not only in hospital wards but also in Emergency Department (ED). At an overcrowded ER that have slow of patient flow, EWS is use as an early detection of patient’s deterioration by observing the vital signs. The purpose of this study was to identify the relationship between nurses’ knowledge of initial assessment and the application of EWS at emergency department.&lt;/p&gt;&lt;p class="AbstractContent"&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This was a quantitative study that used descriptive correlative with cross-sectional design toward 70 emergency nurses.&lt;/p&gt;&lt;p class="AbstractContent"&gt;&lt;strong&gt;Results:&lt;/strong&gt; The result showed there was a relationship between nurses’ knowledge of initial assessment and the application of early warning system at emergency room &lt;em&gt;(p&lt;/em&gt;=0 .001)&lt;strong&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;The higher the level of nurses’ knowledge, their behavior is better. It is recommended to maintain the use of EWS in ED that already good through training regularly (re-certification).&lt;/p&gt;&lt;p class="AbstractContent"&gt;&lt;strong&gt; &lt;/strong&gt;&lt;/p&gt;&lt;div&gt;&lt;p class="Keywords"&gt;&lt;strong&gt;Keywords: &lt;/strong&gt;Early warning system; emergency department; initial assessment; nurses’ knowledge.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;
Interpolation Methods of Spatial Distribution Salt Price During Scarcity Period in Malang Raya Using Geographic Information System

In mid-2017, people in Malang Raya experienced salt scarcity.This situation did not only happen in Malang Raya but also in almost all parts of Indonesia.This study was aimed to determine the distribution pattern of fine salt and crude salt in Malang Raya areas during the salt scarcity.The analysis was carried out by employing a Geographic Information System (GIS) based interpolation.The best interpolation result for fine salt was using the ordinary kriging method with a J-Bessel semivariogram.Meanwhile, the best interpolation method for crude salt was using the inverse distance weighting method.The results of this study revealed some effects of salt scarcity on salt prices.The shortage of salt in Malang Raya caused an increase of exceptional salt prices in almost all areas of Malang Raya, especially in the Northern and Southern part of Malang Regency.However, the result was different for crude salt.The production of crude salt decreased, and the stock was also limited.The demand for crude salt was low; thus, the price of crude salt did not rise sharply in all Malang Raya areas.
IMPACT OF COAL MINING IN FOREST AREA TO CARBON EMISSION IN KUTAI KARTANEGARA, EAST KALIMANTAN

Coal mining is an activity that contribute to greenhouse gas emissions, both from methane gas release of coal trap and the loss of lan cover plants. This study was conducted to estimate carbon emissions in coal mining areas inside forest areas by analyzing changes in landcover. The area of this study is Kutai Kartanegara Regency, East Kalimantan, where coal mining activities are quite massive. To obtain the extent of changes in land cover and the amount of carbon emissions in the area, analysis of Landsat 5 TM and Landsat 7 ETM+ imagery in 2010 and also the 2016 Landsat 8 OLI / TIRS imagery was used. The results showed that in the area of study there was a change in landcover of 12,663.28 Ha in the forest areas used for coal mining activities. Carbon emissions generated from this activity amounted to 0.60 Mton CO2-Eq
A Robot that Learns Connect Four Using Game Theory and Demonstrations

This paper investigates the use of game theoretic representations to represent and learn how to play interactive games such as Connect Four. We combine aspects of learning by demonstration, active learning, and game theory allowing a robot to leverage its developing representation of the game to conduct question/answer sessions with a person, thus filling in gaps in its knowledge. The paper demonstrates a method for teaching a robot the win conditions of the game Connect Four and its variants using a single demonstration and a few trial examples with a question and answer session led by the robot. Our results show that the robot can learn arbitrary win conditions for the game with little prior knowledge of the win conditions and then play the game with a human utilizing the learned win conditions. Our experiments also show that some questions are more important for learning the game's win conditions. We believe that this method could be broadly applied to a variety of interactive learning scenarios.
Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words

Learning sentence representation is a fundamental task in Natural Language Processing. Most of the existing sentence pair modelling architectures focus only on extracting and using the rich sentence pair features. The drawback of utilizing all of these features makes the learning process much harder. In this study, we propose a reinforcement learning (RL) method to learn a sentence pair representation when performing tasks like semantic similarity, paraphrase identification, and question-answer pair modelling. We formulate this learning problem as a sequential decision making task where the decision made in the current state will have a strong impact on the following decisions. We address this decision making with a policy gradient RL method which chooses the irrelevant words to delete by looking at the sub-optimal representation of the sentences being compared. With this policy, extensive experiments show that our model achieves on par performance when learning task-specific representations of sentence pairs without needing any further knowledge like parse trees. We suggest that the simplicity of each task inference provided by our RL model makes it easier to explain.
Half-Life Teaching Factor Based TLBO Algorithm

Teaching-learning-based optimization algorithm (TLBOA) isMishra, Ruchi aSharma, Nirmala significantSharma, Harish metaheuristic algorithm. It is a proficient approach for solving multidimensional, linear, and nonlinear optimization problems. It is based on teaching-learning (TL) process that searches for a global optimum through two modules of learning: (a) teacher-phase (TP) and (b) learner-phase (LP). For avoiding the premature convergence of TLBOA, half-life teaching factor is discovered in this paper. The proposed strategy is known as half-life teaching factor based TLBO (HLTLBO) algorithm. The performance of HLTLBO is calculated over 20 benchmark functions and compared with various state-of-art algorithms namely, TLBOA, global-Best inspired biogeography-based optimization (GBBO), particle swarm optimization (PSO), and covariance matrix adaptation evolution strategy (CMA-ES). The obtained outcomes validate the authenticity of the discovered HLTLBO.
Education Subject As A Synthesis Of Cognitive Practices

The choice of thematic field of this study is determined by the need for reflection of knowledge as a mechanism for the design of a disciplinary matrix that serves as the basis for education, training and education of a new type meeting requirements of modern society; as a new paradigm of modern education; as a platform for the sociocultural development of an individual, emerging on the basis of a strategic audit of basic pedagogical models, methodological principles, didactic methods, etc. The focus of modern pedagogical science is changing under the influence of its epistemic potential, which allows teachers to use the latest technologies in teaching; enhance the receptive ability of the subject; actualize the practice-oriented nature of education. Cognitive practices allow identifying mechanisms of diversification and modernization of modern education; determining the degree of influence of a mediated product on the implementation of an educational strategy; evaluating the measure of responsibility of educational organizations for the results and quality of education of the subject. They expand the range of training of trainees taking into account the attraction of the best domestic and foreign pedagogical models and models of education based on the formation of the subjects vitagenic experience. The authors describe the range of traditional and non-traditional approaches to understanding existing and newly emerging cognitive procedures, which help to significantly expand the range of teaching aids in the educational process by developing students cognitive skills; formation of consciousness in taking advantage of new and existing media; etc.
Segment-Then-Rank: Non-Factoid Question Answering on Instructional Videos

We study the problem of non-factoid QA on instructional videos. Existing work focuses either on visual or textual modality of video content, to find matching answers to the question. However, neither is flexible enough for our problem setting of non-factoid answers with varying lengths. Motivated by this, we propose a two-stage model: (a) multimodal segmentation of video into span candidates and (b) length-adaptive ranking of the candidates to the question. First, for segmentation, we propose Segmenter for generating span candidates of diverse length, considering both textual and visual modality. Second, for ranking, we propose Ranker to score the candidates, dynamically combining the two models with complementary strength for both short and long spans respectively. Experimental result demonstrates that our model achieves state-of-the-art performance.
EFFECTS OF FEMALE GENITAL MUTILATION (FGM) ON GIRLS EDUCATION PERFORMANCE IN PRIMARY SCHOOLS A CASE OF WEST POKOT SUB COUNTY, WEST POKOT COUNTY KENYA

24Dec 2019 EFFECTS OF FEMALE GENITAL MUTILATION (FGM) ON GIRLS EDUCATION PERFORMANCE IN PRIMARY SCHOOLS A CASE OF WEST POKOT SUB COUNTY, WEST POKOT COUNTY KENYA Susan Chematui , Ezine Enos , Simiyu Kefer , Ben Malesi , Salome Awinja , Rose Kisaka , Kellways Nyamanga , Maurice Mwalo , Murunga Joseph , Daniel Wamalwa , Beatrice Watiti and Nalondo Phanus Med Student (Leadership, Administration and Management) Northwestern Christian University Florida, USA
Quest as a Modern Technology of Training in Higher Education Institutions

The article presents approaches which help to define the concept of "quest" as a modern pedagogical technology. To formulate this definition various views have been considered. It has been determined that "quest" as a technology of training in institutes of higher education provides for research and project activities of students. Within this activity, while performing certain tasks students carry out the search of information, analyze it, and summarize. The classification of educational quests (by I. Sokol) is presented, which summarizes most of the classifications presented in the scientific literature. The various types of quest training tasks that are most appropriate for use in higher education institutions are listed. The atttention is also paid to the requirements for the organization of training using such technology. The performed study shows that the use of quests in student training has a great perspective. Educational quests have a positive influence on preparation for future professional activity; redound to the formation of cultural and professional competences; form responsibility for the decisions made; prepare for the possible risks in life and the profession. The introduction of the practice of the use of quest technologies in the educational process of institutions of higher education makes it possible to build a new design of the educational space of the institutes of higher education, which meets the needs of students of generation Z.
A Novel Approach to Detect the Acute Lymphoblastic Leukemia Based on the Color Orthonormal Basis Entropy (COBE) and the Distribution of the Pixel Intensity (DoPI)

One of the most dangerous cancer is acute leukemia lymphoblastic (ALL).This type of leukemia has been attacking the most of children.This research aims to detect the ALL diseases through the principal features of the object.Furthermore, this paper contributes by providing a new approach to detect the ALL disease based on the Color Orthonormal Basis Entropy (COBE) and the Distribution of the Pixel Intensity (DoPI).There are some novelties in this research.Firstly, we combined three channels features to characterize an object for increasing the performance accuracy.Secondly, we have developed a model to improve the image through a contrast enhancement filter, the noises from the image can be recognized and removed automatically, and better image result has been delivered through enhancement of the green channel selection.In this research, we proposed a novel approach to detect the ALL based on the COBE and the DoPI.This new approach is divided into four main stages, i.e., image enhancement, segmentation, feature extraction, and performance measurements.Firstly, an image was enhanced through a channel separation, enhancement of the green channel, and fusion of the green channel enhancement with the original channel, i.e., the red and blue channels.An image enhancement process is conducted by a gamma correction of the contrast stretching.The hue channel is an output of the first stage.Secondly, the Otsu algorithm was employed to obtain the best threshold.Thirdly, the COBE and the DoPI were included to discover the main features.Lastly, the Manhattan method was employed to measure performance.In this research, the second Acute Lymphoblastic Leukemia-Image Database (The 2nd ALL-IDB, usually it is called as ALL-IDB2).It is carried out to evaluate the proposed approach.The results show this proposed method has produced high accuracy at 91.67% and small standard deviation at 0.022.
Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild

Monocular object pose estimation is an important yet challenging computer vision problem. Depth features can provide useful information for pose estimation. However, existing methods rely on real depth images to extract depth features, leading to its difficulty on various applications. In this paper, we aim at extracting RGB and depth features from a single RGB image with the help of synthetic RGB-depth image pairs for object pose estimation. Specifically, a deep convolutional neural network is proposed with an RGB-to-Depth Embedding module and a Synthetic-Real Adaptation module. The embedding module is trained with synthetic pair data to learn a depth-oriented embedding space between RGB and depth images optimized for object pose estimation. The adaptation module is to further align distributions from synthetic to real data. Compared to existing methods, our method does not need any real depth images and can be trained easily with large-scale synthetic data. Extensive experiments and comparisons show that our method achieves best performance on a challenging public PASCAL 3D+ dataset in all the metrics, which substantiates the superiority of our method and the above modules.
OFFLINE LINEAR DISCRIMINANT ANALYSIS CLASSFICATION OF TWO CLASS EEG SIGNALS

This paper investigates the use of LDA algorithm In the EEG classification. EEG feature extraction is Implemented to reduce the dimensionality of data. The Sliding Window Technique (SWT) is used to calculate the mean within each window samples. Then, classification is done based on hyperplane technique. The LDA algorithm is described in details with all the implementation Issues. The LDA regularization is also discussed and its effects on the classification accuracy is given. In addition, both window size and channel selection effect on the accuracy is Illustrated. Results show that a window size of 150 samples, channel 3 and regularization parameter of 0.9 gives an accuracy of 0.9.
FORMATION OF FUTURE TEACHERS’ POSITIVE ATTITUDE TOWARDS THE ARTISTIC AND CULTURAL ENVIRONMENT OF THE REGION AS A PREREQUISITE FOR SOLVING TASKS OF SOCIAL EDUCATION

potential of the artistic and cultural environment. The authors emphasize the contradiction between the need to examine the attitude of teachers towards the artistic and cultural environment as a resource for solving educational problems and the lack of necessary techniques. The problem of the formation of positive attitude of future teachers towards the socio-pedagogical opportunities of the artistic and cultural environment of the region should be solved even within the university framework in the process of their preparation through the potential of educational and extracurricular activities. The purpose of the article is to determine the values-based orientations of teachers in the field of artistic culture and creativity, their degree of understanding of the socio-pedagogical capabilities of the artistic and cultural environment and the role of a teacher in the process of introducing a child to the artistic and cultural traditions of the region and cultural values; to show some ways of formation of positive attitude towards the artistic and cultural environment as a resource of solving problems of education in a pedagogical university. The research methodology consists of systemic, hermeneutic and interdisciplinary approaches to the study of the environment and its socio-pedagogical potential, as well as to the analysis of socio-pedagogical phenomena. The research methods are questionnaires, content analysis, analysis of the experience of the Department of General and Social Pedagogy at the Voronezh State Pedagogical University in formation of positive attitude of students towards the artistic and cultural environment. Research results. Techniques are proposed of determining the attitude of teachers towards the artistic and cultural environment of the region as a resource of solving educational problems within the framework of its socio-pedagogical diagnosis. A study of the attitude of teachers to the artistic and cultural environment is carried out. The experience is presented of the formation of attitudes of students at the pedagogical university towards interaction with the artistic and cultural environment of the region in the framework of solving educational problems. Conclusion. The study of the teachers attitude towards the artistic and cultural environment and its capabilities will help identify problems that need attention in the process of preparing students of a pedagogical university for solving educational problems, taking into account the potential of the environment. The proposed techniques for diagnosing teachers’ attitude towards the artistic and cultural environment have been tested and may be useful for teachers in higher education, cultural and educational workers for the formation of professional competencies.
Future elementary school teacher’s readiness to work in the conditions of the inclusive education

The article is devoted to the analysis of the content and structure of future elementary school teacher’s readiness to work in an inclusive educational environment. The article emphasizes that the formation of elementary school teacher’s readiness to work in an inclusive education is now acquiring an expanded context. The authors argue that the category of readiness for professional activity is a personal systemic quality which is formed during the process of professional training at a higher education establishment. The scientific theoretical approaches concerning this problem are generalized. It is determined that elementary school teacher’s readiness to work in an inclusive educational environment is a complex of interacting psychological and professional qualities, allowing to carry out practical activities at a high level and organize educational process with elementary classes students taking into account the features of the current inclusive education system. The article reveals some theoretical approaches to the structure of elementary school teacher’s readiness to work in an inclusive educational environment. The authors prove that it is a complex process where one component characterizes such aspects as: pedagogical skills; psychology and correctional pedagogy knowledge; understanding of individual differences of ordinary children and ones with special educational needs; usage of various methods in the process of education and professional interaction while inclusive education. The second component implies the emotional acceptance of children with different types of developmental disorder; the ability to involve children with different types of disorders into classroom activities; feeling satisfied with pedagogical activities; an individual approach to each person; variability in the teaching process; self-control and the ability to overcome unforeseen obstacles.
More Accurate Learning of k-DNF Reference Classes

In machine learning, predictors trained on a given data distribution are usually guaranteed to perform well for further examples from the same distribution on average. This often may involve disregarding or diminishing the predictive power on atypical examples; or, in more extreme cases, a data distribution may be composed of a mixture of individually “atypical” heterogeneous populations, and the kind of simple predictors we can train may find it difficult to fit all of these populations simultaneously. In such cases, we may wish to make predictions for an atypical point by selecting a suitable reference class for that point: a subset of the data that is “more similar” to the given query point in an appropriate sense. Closely related tasks also arise in applications such as diagnosis or explaining the output of classifiers. We present new algorithms for computing k-DNF reference classes and establish much stronger approximation guarantees for their error rates.