Reviewerly/exHarmony huggingface dataset:
La comprensión lectora una necesidad de los estudiantes de la Básica Secundaria colombiana 

En el articulo se analiza la comprension lectora como uno de los elementos que propicia en los estudiantes herramientas para la vida como: hablar, leer, escribir y comprender el mundo, en particular desde las instituciones educativas para lograr que los estudiantes adquieran aprendizajes para la vida y pertinentes para cada sociedad donde se desenvuelven. Las deficiencias que existen en muchos contextos educativos, demuestran la necesidad de que se potencie en los estudiantes aspectos importantes de su personalidad como el desarrollo emocional, cognitivo y social, teniendo presente sus caracteristicas particulares, sus intereses y necesidades formativas. La comprension lectora favorece crear nuevas formas de vida, comprender los problemas y solucionarlos desde diversos puntos de vista, a partir de tareas docentes que permiten concretar tal aspiracion.Palabras clave: Comprension lectora, tarea docente, estudiantes, educacion. ABSTRACTOne of the elements to be promoted to help develop reading comprehension is to The article analyzes reading comprehension as one of the elements that provides students with tools for life such as: speaking, reading, writing and understanding the world, particularly from educational institutions to achieve that students acquire life-long learning and pertinent to each society where they operate. The deficiencies that exist in many educational contexts demonstrate the need for students to enhance important aspects of their personality, such as emotional, cognitive and social development, bearing in mind their particular characteristics, interests and training needs. Reading comprehension favors creating new ways of life, understanding problems and solving them from different points of view, based on teaching tasks that make this aspiration possible.Keywords: Reading comprehension, teaching task, students, education.
Convolutional Neural Network Based Classification of Benign and Malignant Tumors from Breast Ultrasound Images

The widely used method for diagnosing the breast cancer is a Breast ultrasound (BUS) imaging, but the interpretationwill be vary based upon the experience of radiologist. Now a days CAD systems are available to provide the informationregarding BUS image classification. However, most of the CAD systems was based upon handcrafted features. Whichare designed for classifying the tumors. Therefore, the capability of these features will decide the CAD system accuracy which is used for classifying the tumors as benign and malignant. With the use of Convolutional Neural Network(CNN) technology, we can improve the classification of BUS images.last five years, Genetic engineering research isbecoming closer to the mass consumer. Leading global geneticists predict that in the coming years, a boom will occurin the genetic engineering market, comparable to the massive spread of personal computers in the 1980s. Thusgenetically modified biomaterials with upgraded biological properties, expanding towards mass-scale industrialproduction, and the considerable consumption in regular universal activities.The techniques used to develop new materials and to modify the properties of existing materials, are subjected todifferent industries and fields of scientific researches. CRISPR is an authoritative research tool that facilitatesscientists to deal with the expression of a gene. It has shown tremendous potential in genome research due to itsability to delete unwanted traits, and possibly even replace them with desirable traits. It is agile, worthwhile, and
Boolean Algebra and Its Applications

Using a field of mathematics called modern algebraModern algebra designs and maintains classical computers. Over a hundred years, algebraists have studied for mathematical systems and they call them as Boolean algebrasBoolean algebras. The name Boolean algebra honors a fascinating English mathematician, George Boole because in 1854 he published a classic book, An Investigation of the Laws of Thought, on which Are Founded Mathematical Theories of Logic and Probabilities. Boole that has stated objective (intention) was to complete a mathematical analysis of logic. Boole’s investigation has enlightened the calculus of propositions and algebra of sets. In this book, we designate the algebra now used in the design and maintenance of quantum logical circuitry as Boolean algebra.
Comparing the Effects of Chinese and Traditional Official Finance on State Repression and Public Demonstrations in Africa

The papers in this Working Paper series have undergone only limited reviewand may be updated, corrected or withdrawn. Please contact the correspondingauthor directly with comments or questions about this paper.
Effective Training of Sparse Neural Networks under Global Sparsity Constraint

Weight pruning is an effective technique to reduce the model size and inference time for deep neural networks in real-world deployments. However, since magnitudes and relative importance of weights are very different for different layers of a neural network, existing methods rely on either manual tuning or handcrafted heuristic rules to find appropriate pruning rates individually for each layer. This approach general leads to suboptimal performance. In this paper, by directly working on the probability space, we propose an effective network sparsification method called {\it probabilistic masking} (ProbMask), which solves a natural sparsification formulation under global sparsity constraint. The key idea is to use probability as a global criterion for all layers to measure the weight importance. An appealing feature of ProbMask is that the amounts of weight redundancy can be learned automatically via our constraint and thus we avoid the problem of tuning pruning rates individually for different layers in a network. Extensive experimental results on CIFAR-10/100 and ImageNet demonstrate that our method is highly effective, and can outperform previous state-of-the-art methods by a significant margin, especially in the high pruning rate situation. Notably, the gap of Top-1 accuracy between our ProbMask and existing methods can be up to 10\%. As a by-product, we show ProbMask is also highly effective in identifying supermasks, which are subnetworks with high performance in a randomly weighted dense neural network.
English−to−Chinese Transliteration with Phonetic Auxiliary Task

Approaching named entities transliteration as a Neural Machine Translation (NMT) problem is common practice. While many have applied various NMT techniques to enhance machine transliteration models, few focus on the linguistic features particular to the relevant languages. In this paper, we investigate the effect of incorporating phonetic features for English-to-Chinese transliteration under the multi-task learning (MTL) setting—where we define a phonetic auxiliary task aimed to improve the generalization performance of the main transliteration task. In addition to our system, we also release a new English-to-Chinese dataset and propose a novel evaluation metric which considers multiple possible transliterations given a source name. Our results show that the multi-task model achieves similar performance as the previous state of the art with a model of a much smaller size.
Порівняння сервісів для створення питально-відповідальних систем

Question-answering systems are widely used nowadays. They allow automating interaction between people. Common solutions include client support, recommendations, and order processing.A question-answering system is a system that answers natural language questions using a structured database or natural language document collection. It can be considered as the development of information retrieval.Three are different services for creating question-answering systems. In this work selected Dialog- flow, IBM Watson Assistant, Microsoft QnA Maker, and LUIS. Each service has its advantages and disadvantages.The main concepts of Dialogflow are agents, intents, entities, context. An agent is a virtual agent with a natural language understanding that handles conversations with users. An intent represents user intention for conversation turn. Each agent has its intents. Entities are parameters of intent that Dialogflow extracts from user expressions. A context in Dialogflow similar to natural language context and helps to control the flow of conversation.The main concepts of IBM Watson Assistant are intents and entities. Intents represent users’ goals. User inputs analyzed to select the most appropriate intent and choose dialog flow. An entity represents information in intent that is relevant to the user’s goal.Microsoft QnA Maker uses a concept of a knowledge base that is filled with information. Requests from the user are analyzed to extract the most appropriate information from the knowledge base. LUIS uses concepts of intent and entities. LUIS uses schemas to extract intent or entity from an input.Important for the choice are the tasks to be solved by the created question-answer system and the volume of system use. Each service has restrictions on the languages that are supported. Dialogflow supports 19 languages, IBM Watson Assistant only 10, Microsoft QnA Maker 52 languages, but LUIS only 17. All services support English, but only Dialogflow and Microsoft QnA Maker support Ukrainian and Russian. .Each service has standard integrations with messengers. All services support Slack and Facebook Messenger. The rest have different support from different services. All services provide options to create a custom integration for non-standard systems if the service does not provide them, through the appropriate APIs.Prices depend on the number of requests per month with a possible limit on the number per minute. Each service offers a free plan under certain conditions, but Microsoft services will require payment for Azure capacity.Manuscript received 09.06.2020
Por uma BU acessível: experiências para implementação da acessibilidade em uma biblioteca universitária

This article aims to share the experience lived in the University Library of the Federal University of Santa Catarina (BU/UFSC) by government employee who work in the implementation of accessibility strategies by means of a standing committee in order to promote an inclusive institutional culture, through actions and services related to the context of this information unit. This report presents the historical course of actions, contributions, impacts and repercussions of this professional performance. In this way, we intend to contribute and dialogue with other university libraries, which develop or intend to develop similar actions in the scope of accessibility and inclusion of users with disabilities.
DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory

Research in building intelligent agents have emphasized the need for understanding characteristic behavior of people. In order to reflect human-like behavior, agents require the capability to comprehend the context, infer individualized persona patterns and incrementally learn from experience. In this paper, we present a model called DAPPER that can learn to embed persona from natural language and alleviate task or domain-specific data sparsity issues related to personas. To this end, we implement a text encoding strategy that leverages a pretrained language model and an external memory to produce domain-adapted persona representations. Further, we evaluate the transferability of these embeddings by simulating low-resource scenarios. Our comparative study demonstrates the capability of our method over other approaches towards learning rich transferable persona embeddings. Empirical evidence suggests that the learnt persona embeddings can be effective in downstream tasks like hate speech detection.
HUBUNGAN TINGKAT PENDIDIKAN DAN PENGETAHUAN IBU TENTANG TUMBUH KEMBANG ANAK DENGAN KUNJUNGAN IBU KE POSYANDU DI KABUPATEN SRAGEN

Mother's education and knowledge about child development is one of the important factors in child development. Mother's education is good, so being able to receive all information from outside, especially on how to take good care of children and maintain good health of the child, a visit to the posyandu is also a very important factor for monitoring the growth and development of toddlers.The objective is to analyze the relationship between mother's education level and the level of mother's knowledge about the growth and development of children under five with the mother's visit to the posyandu at santa Anna Sragen kindergarten. This research is observational with cross sectional approach. Research subjects by 27 respondents. Sampling with a simple random sampling system. Data on mother's education, mother's knowledge, and mother's visit to the posyandu were obtained through questionnaires. Data analysis using Chi-Square test. The relationship between mother's education level with visits to the posyandu for mothers in Santa Anna Sragen Kindergarten with a 2count value of 6.217 (p= 0.013 <0.05) so that H0 was rejected and Ha was accepted. The relationship between the level of mother's knowledge about the growth and development of children under five with a visit to the posyandu in mothers in Santa Anna Sragen Kindergarten with a value of 2count was 10.919 (p= 0.004 <0.05) so that H0 was rejected and Ha was accepted. There is a positive and significant relationship between mother's education level with visits to posyandu for mothers in Santa Anna Sragen Kindergarten. There is a positive and significant relationship between mother's level of knowledge about the growth and development of children under five with visits to posyandu for mothers in Santa Anna Sragen Kindergarten.
PEMBELAJARAN MODEL STAD UNTUK MENINGKATKAN PRESTASI BELAJAR MATEMATIKA PADA SISWA KELAS V SDN 39 CAKRANEGARA

This study aims to improve mathematics learning achievement in fifth grade students of SDN 39 Cakranegara by using the STAD (Student Team Achievement Division) learning model. This research method uses classroom action research (PTK). This research was conducted in 2 cycles based on the material divided into two, namely understanding the properties and simple building nets and calculating the volume of cubes and blocks. The subjects of this classroom action research were students of class V SDN 39 Cakranegara with a total of 28 students, consisting of 15 male students and 13 female students. This research instrument uses; observation sheets for teachers, observation sheets for students, student response questionnaires, field note formats, student worksheets, and final cycle test question sheets. Data analysis in this study used qualitative and quantitative descriptive analysis. The results of this study are efforts to improve student learning outcomes with the STAD (Student Team Achievement Division) Model Learning method, which has been able to improve student learning outcomes. This increase occurred in cycle I and cycle II with evidence of an increase in: (1) Implementation of learning mathematical concepts in building materials using the STAD (Student Team Achievement Division) learning model, in class V SDN 39 cakranegara proved to be able to improve student understanding, this is based on the results of observations on student activity and if the percentage of pre-cycle is 12.90%, cycle 1 is 29.03%, in cycle 2 it increases again to 90.32%. (2) The use of the STAD (Student Team Achievement Division) learning model, in learning to build a room in class V SDN39 Cakranegara, is proven to improve student learning outcomes, this can be seen from the acquisition of class average scores from student test results at each stage of the cycle. The increase is, the class average value in pre-cycle is 50, in cycle I is 60.70 and in cycle II is 75.35.
Discussion on the Cross-Cultural Perspective Transformation and Translation Skills in English Translation

With the development of economic, cultural and political globalization, the communication between countries is increasingly close, and English translation plays an important role in communication. This paper focuses on the strategies and skills of English translation based on the cultural perspective transformation and the factors affecting the effect of the English translation.
Techniques and Issues in Text Mining

Digital data in huge amount is being persistently generated at an unparalleled and exponential rate. In this digital era where internet stands the prime source for generating incredible information, it is vital to develop better means to mine the available information rapidly and most capably. Manual extraction of the salient information from the large input text documents is a time consuming and inefficient task. In this fast-moving world, it is difficult to read all the text-content and derive insights from it. Automatic methods are required. The task of probing for relevant documents from the large number of sources available, and consuming apt information from it is a challenging task and is need of the hour. Automatic text summarization technique can be used to generate relevant and quality information in less time. Text Summarization is used to condense the source text into a brief summary maintaining its salient information and readability. Generating summaries automatically is in great demand to attend to the growing and increasing amount of text data that is obtainable online in order to mark out the significant information and to consume it faster. Text summarization is becoming extremely popular with the advancement in Natural Language Processing (NLP) and deep learning methods. The most important gain of automatic text summarization is, it reduces the analysis time. In this paper we focus on key approaches to automatic text summarization and also about their efficiency and limitations.
A Novel Jackson’s Widowbird Mating Optimization Algorithm

In this paper a novel nature-inspired metaheuristic algorithm named as Jackson's Widowbird Mating Optimization (JWMO) is proposed. The proposed algorithm is influenced by the mating behavior of Jackson's Widowbird. Courtship rituals performed by male bird are used to develop the algorithm. The main objective of the proposed model is to obtain best possible solution of any given optimization problem. The algorithm is tested with a number of benchmark functions. To show the effectiveness of the algorithm, it is compared with other popular metaheuristic algorithms. Experimental results indicate that JWMO gives better performance.
THE RELATIONSHIP BETWEEN STUDENTS’ ATTITUDE AND LEARNING MOTIVATION TOWARD THE STUDENTS’ ENGLISH ACHIEVEMENT AT THE FIRST GRADE IN SMAN 3 TOLITOLI

The  aims  of  this  research  is  to  find  out  the  significant  correlation  between  the students’ attitude toward the students English achievement, to find out the significant correlation between learning motivation toward the students English achievement, and to find out the significant simultaneously between students’ attitude and learning motivation toward the students English achievement at the first grade in SMAN 3 Tolitoli. This research use quantitative analysis, the population of this research is the first grade of SMAN 3 Tolitoli and the sample of this research are 33 students. The researcher used questionnaire   as the main technique of collecting the data, the result of this research showed that there was significant correlation between students’ attitude toward the students English achievement, it is proved Tcount2,1113>Ttable 2,045. The second, there was no significant correlation between learning motivation toward the students English achievement, it is proved Tcont0,3234 0,05.  The  conclusion  from  this  research  there  was  no  significant  simultaneously between students’ attitude and learning motivation toward the students English achievement. Keyword: Attitude, motivation, achievement
Brain gymnastics as pedagogical mediation to improve the reading aloud of a class of second grade students at “La Cumbre” Technical Institute

The present research is framed within the qualitative paradigm, which is characterized by studying the reality of a class of 28 second-grade students at “La Cumbre” Technical Institute in the municipality of Floridablanca (Santander) where, through action-research, an active role is assumed to improve reading aloud.The general objective is to strengthen the processes of reading aloud from seven pedagogical workshops based on brain gymnastics exercises focused on improving fluency, pronunciation, intonation and voice volume. It includes participatory observation, evaluation rubrics, audiovisual records and a field diary.As a result, it can be seen that, in order to strengthen the processes of reading aloud, it is important to create spaces in the classroom where orality is stimulated, respect is encouraged and a listening attitude is developed. In addition, it is recognized that the act of reading aloud should be considered as an opportunity to lead children to change their learning and improve academic difficulties, where an integral connection between body communication and language is developed. One of the main conclusions is that, within language learning, it is ideal that teachers and students understand that learning to read aloud is a process. In other words, it is essential to go step by step and to take into account the different skills involved in reading in public.Finally, the study shows a positive response from the implementation of brain gymnastics, since children enhance their communication skills and strengthen intra-personal and interpersonal relationships. Likewise, it allows the teacher to provide constant accompaniment, associated with reflection, flexibility, respect and empathy, recognizing that mistakes can be made and that these errors must be solved calmly, in order to improve the processes in terms of intonation, fluency, voice volume and pronunciation, since it is not only about reading aloud, but also about teaching children to read aloud.
The Use of Caricature Media in Indonesian Language Learning to Improve Writing Skills

The purpose of this study is to describe that the use of caricature media in Indonesian language learning can improve argumentation writing skills in class X.1 SMA Negeri 1 Mejayan. This study uses a Classroom Action Research approach, which is a study which is a form of collaboration / collaboration between researchers, teachers and students. The data sources of this research are: informants (Indonesian language teachers, students, vice principal in the curriculum field), places and events (learning activities to write arguments in class X.1 SMA Negeri 1 Mejayan), documents (caricature pictures). The data collection techniques used were interview, observation, test, and questionnaire techniques. The data collection technique used the method triangulation technique, data source triangulation, and informant review to determine the validity of the data. The data analysis technique used is to do a qualitative description that is adjusted to the predetermined success indicators. The research process was carried out in three cycles, each cycle consisting of four stages: (1) preparation, (2) implementation, (3) monitoring and evaluation, (4) analysis and reflection. Based on the research results, it can be concluded that caricature media can improve the Indonesian language learning process as well as the argumentation writing skills of class X SMA Negeri 1 Mejayan. This is reflected in several indicators of success as follows: (1) students 'interest in taking writing lessons increases, (2) teachers are able to arouse students' interest, (3) students are able to determine topics and arguments to be made in argumentative writing, (4) the teacher able to use caricature media in learning to write arguments, (5) the teacher is able to manage the class well, (5) the students' argumentation writing skills continue to improve from cycles I, II, and III.