Reviewerly/exHarmony huggingface dataset:
A Didactic Strategy to Favor the Development of Oral Expression in Students at UEES and ECOTEC Universities

The research attempts to solve some of the limitations students present in their oral expression in the university context, which causes scientific and academic production difficulties. An exhaustive bibliography related to the subject was consulted for its realization, and different instruments were applied. The use of theoretical methods and methodological background support the research. Furthermore, interviews and surveys were used to diagnose the current state of the development of oral expression in university students from UEES and ECOTEC. The results allowed the development of a set of activities to promote the development of the oral expression of these students. Additionally, based on the criteria offered by the discussion groups and experts, it was possible to verify the proposed strategies' effectiveness in educational practice. Oral communication appears as a necessary instrument for establishing relationships between man and the environment where he lives. Thus, it plays an essential role in forming and developing people's academic lives.
Role of Statistics in Policymaking for National Development

There is a revolution brewing in the increased interest in statistics. Statistics is the evidence on which policies are built and are also a crucial part of our lives. The relevance of statistics in our day-to-day activities and wider society at large has led to calls for increased attention to statistical literacy in recent times. To be statistically literate is to be able to make sense of statistics, that is, to think critically about the information being presented, to understand the context, and to be able to tell the story in the data. The use of statistics in national development is very critical. The availability of timely and reliable statistics enhances macroeconomic stability and increases national welfare. However, it is important for the users, especially the researchers, to understand statistics so that they can be informed, evaluate the reliability and usefulness of information, and make necessary decisions. The main objective of this work is to highlight the importance of statistics in measuring socioeconomic indicators, especially in the area of policymaking at national and international levels. This work also showcases how modern statistical techniques can be applied in businesses and industries to make well-informed decisions about the policies and projects of individuals and government. The work recommends the importance of developing and maintaining a reliable, up-to-date, and easily accessible database for users and policymakers when needed.
Adversarial Embedding Using Steganography Technique

Abstract: Conventional visual secret sharing (VSS) schemes hide secret images in shares that are moreover published on clarity or are decoded and stored in a digital form. The shares can appear as noise-suchlike pixels or as meaningful images, but it'll arouse dubitation and increase interception threat during transmission of the shares. Hence, VSS schemes suffer from a transmission threat problem for the secret itself and for the actors who are involved in the VSS scheme. To address this problem, we proposed a new fashion for the palette-grounded steganography using a texture with LSB and also a natural-image-grounded VSS scheme (NVSS scheme) that shares secret images via colorful carrier media to cover the secret and the actors during the transmission phase. We contrive the texture conflation process into steganography to hide secret dispatches. In comparison to using a being cover image to hide dispatches, our algorithm hides the source texture image and embeds secret dispatches through the process of print. The natural shares can be prints or hand-painted filmland in digital form or published form. We also propose possible ways to hide the secret to reduce the transmission threat problem for the share. Experimental results indicate that the proposed approach is an excellent result for working the transmission threat problem for the VSS schemes. Keywords: visual secret sharing (VSS), steganography, natural-image-based VSS scheme (NVSS scheme), OR Code, Palette Based Steganography.
THE AVAILABILITY OF INFORMATION SCIENCE AND RECOMMENDATIONS TO THE DEVELOPMENT OF COMMUNITY INFORMATION SCIENCE, (WITH SPECIAL REFERENCE TO INDIAN STATES)

In the modern era information science is very essential to get information and statistics of various departments like education, agriculture and the service sectors, In the Indian context, majority of Indians are living in rural areas and working in Agriculture or small scale industries. In India 74.3 percent population lives in rural areas and 25.7 percentage population lives in urban areas. The agriculture sector provides livelihood to 64 percent. For the development of the country, it is very important to emphasize on the development of rural community. Information is one of the most important factors for the process of development of any sector especially rural community. Information is birth right of a human being irrespective to the class and creed he/she belongs to. Particularly in a big country like India, information needs to be shared and disseminated to all the citizen of the country. So far, libraries and professionals have been serving the population in a closed framework which needs to be changed in the changing context beyond physical buildings to virtual environment. Anything and everything can be found over Internet and this environmental change has changed the information seeking behaviour of the users. KEY WORDS: Community Information Science, Digitalisation Benifits In The Growth Of Library Science In India.
Sistem Pakar Mendiagnosa Penyakit Microcephaly Menggunakan Metode Rete

An expert system for diagnosing Microcephaly is one of the important things considering the disease that needs to be observed so that this disease is easy to attack children. The problem that became the starting point in making this thesis is how to solve the problem using the Rete method. From the analysis, it can be seen that the expert system for diagnosing Microcephaly can be done using the Rete method using a computer program that suits the needs, so that users can get better diagnostic results more easily. With the existence of an expert system for diagnosing Microcephaly, it is hoped that it will make it easier to see, the symptoms, causes and results of the diagnosis of Microcephaly. In designing this diagnosis using Microsoft Visual Basic 2008
THE IMPLEMENTATION OF DEBATE TECHNIQUE IN ENHANCING SECOND-YEAR ENGLISH-MAJORED STUDENTS' SPEAKING ABILITY AT DONG NAI TECHNOLOGY UNIVERSITY, VIETNAM

Speaking is considered the most important skill when learning English since it directly shows how students can utilize English in communication to meet the goal of English learning. There are a number of techniques that can assist students to enhance their speaking ability and the debate technique is one of the suitable methods of improving students' speaking ability. As a result, the researchers wanted to determine whether the debate technique can enhance the students' speaking skills and to examine the classroom circumstance when the debate technique is used in a speaking class. The participants of this study are 30 English-majored sophomores at Dong Nai Technology University. In conducting the study, the researchers used classroom action research (CAR) with the pre-test, post-test, observation and questionnaire in order to evaluate the effectiveness of this technique in teaching and learning speaking skills. The researchers used a t-test to analyze the score of the students' results in pre-test and post-test. There was a significant difference between the pre-test results and the post-test ones, the mean scores obtained by the students in the post-test (7.0250) were better than the mean scores of the students in the pre-test (5.5267). The data of the score of students' attitudes towards the debate technique through the questionnaire was a high category. It could be concluded that debate was an effective method to enhance students' speaking ability in teaching and learning English.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0934/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
AN INVESTIGATION INTO ENGLISH-MAJORED STUDENTS’ DIFFICULTIES IN DOING THEIR LISTENING COMPREHENSION TASKS

This study aims to investigate difficulties faced by the English-majored students in doing listening comprehension tasks. To facilitate this investigation, the researcher recruited a group of 38 English-majored students who study English as a foreign language. A questionnaire was used to collect the data of the study. The participants were asked questions concentrating on a series of 20 items put in the three categories of difficulties in doing listening comprehension tasks. These difficulties are related to listening materials, the role of the listener, and the physical setting. The results of this study showed that most of the students had difficulties related to the listening materials when they contain many unfamiliar words including jargons and idioms, speed of the speakers’ speeches, and long-spoken texts. Meanwhile, in terms of the listener, the students revealed that such difficulties as colloquial languages and slangs, unknown words while listening, and reduced forms have caused them to lose while listening. Finally, the students also found difficulties related to the physical setting. For instance, when the tests are taking place in a deafening place.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0917/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
SIGN LANGUAGE RECOGNITION

Sign-language (SL) recognition, even though it has been under investigation for many years, remains a challenge in real practice. Sign language has become a perpetual panacea and is a very powerful tool for people with hearing and speech impediments to communicate their feelings and ideas to the world. It makes the process of integration between them and others smoother and less complicated. Sophisticated background and light conditions affect hand tracking and make SL detection extremely difficult. A web camera is used for simultaneous video sensor, based on which hand and body action can be tracked more accurately and easily. We use the HSV color algorithm to detect hand gestures and set the background black. Images go through a series of processing steps that include various computer recognition methods such as mask performance. And an interesting region in which, in our case, the touch of a hand is separated. The output elements are binary pixels for images. We are using the PCA net to extract the feature. We use the Convolutional Neural Network (CNN) to train and classify images. The system does not require the hand to be properly aligned with the camera or to use any special gestures or hand gloves.
VR – The Digital Intersection of Video Games and Immersive Theatre

The coronavirus pandemic has been detrimental to live theatre everywhere; however, it has forced us to explore the possibilities within the digital landscape as in-person interactions continue to be limited. Virtual reality, or VR for short, has exploded in popularity due to its escapist and endless possibility, but it also demonstrates inherent elements of game design and theatricality in its applications and experiences – so to what extent do we see such elements and how do they apply? Using preliminary studies in video game and immersive theatre philosophy, interviews with professional artists in these fields, and my own experiments on the Oculus headset, we see connections of concepts such as presence, interactivity, and aesthetics being made in VR, as are similar terms found in theoretical discussions of gaming and immersivity. This connection also recognizes the logistical problems like accessibility and ethics, and though conversations are still developing on these subjects, we can consult with each industry to analyze and predict outcomes of different procedures. This intersectionality of technology and the arts is not new; however, it is underutilized – digital theatre presented a way for people to connect during the pandemic, but with VR, we are given the chance to interact more authentically in a shared, online space.
Formation of Digital Literacy of Undergraduate Students in the Context of Sustainable Development Goals

The paper aims to develop a model of a training course aimed at forming undergraduate students’ digital literacy, considering the goals of sustainable development and the implementation of a competency-based approach. The tasks were to analyze digital literacy frameworks in the context of sustainable development goals, analysis of educational standards of higher education at the bachelor’s level, and modeling on this basis the content of the academic discipline, determining the methodological conditions of the learning process, and choosing instrumental solutions for designing the course and implementing academic discipline. In the process of identifying and analyzing the existing framework of digital competencies, international frameworks, and practical experience, we proposed a way to correlate these models with the tasks of implementing a competency-based approach and adapting these models to the national conditions for the implementation of educational programs at the higher education level. We developed a scientific concept and modeled the “Digital Culture” training course, aimed at developing digital literacy of students in all areas of training at the bachelor’s level.
How Students Assess Their Careers in the Context of COVID-19

The research goal is to present the views of Russian students on the relation between the COVID-19 pandemic and their future career opportunities. The research is based on a survey of 138 students studying for their bachelor’s degree. Comparing the responses given by students of the 1st, 2nd, 3rd, and 4th academic years allows the author to estimate the differences in their opinions. The survey illustrates that students’ assessments depend on their academic year. Therefore, students of the junior years lack interest in tackling sustainability issues, which probably appear detached from their lives, while the students of the senior years feel more involved in the current situation. The suggested perspectives of Education for Sustainable Development include (1) motivation towards the involvement of students into professional and general life￾supporting activities, (2) further development of the interdisciplinary approach in higher education, and (3) development of distance learning with a strong emphasis on professional use of electronic devices instead of using them primarily as a mean of communication.
A Survey on Sentimental Analysis Approaches using Machine Learning Algorithms

Abstract: Sentiment analysis is the measurement of positive and negative language. It is a way to evaluate written or spoken language to determine if the expression is favourable unfavourable, or neutral, and to what degree. It is one of the prominent fields of data mining that deals with the identification and analysis of sentimental contents generally available at social media. In this work, a survey has been conducted on various work done in the past on sentiment analysis which includes opinion mining methods, machine learning based approaches and hybrid approaches which combines the both. Some approaches which uses special statistical and machine learning models are included in separate section. It is concluded from the work that sentiment analysis on text can be improved if combined with other features like emojis. It can further be improved by using hybrid models. Keywords: Time series forecasting, Sentiment Analysis, Hybrid Models
Analysis of the effect of e-currencies on financial performance based on information technology

E-currency is a form of digital currency that employs encryption to safeguard transactions, limit the manufacture of new units, and verify asset transfers. Bitcoin exchange rates and returns are the primary subjects of this study. In order to measure volatility, the standard deviation of logarithmic returns is determined. This study used a special test to determine whether or not the data were normal. Findings of high volatility were also made using a plot, a statistical process control chart, and other methods. Normality test (casual test) has been investigated accordingly to approve and validate the results. The F-test has been considered as the main indicator for the validity of the results. It has been based on the F-value of 9.3. As well as the financial performance has been done using the time and currency with upper and lower limits. The maximum limit is 34 with a G-value of 0.34. Furthermore, market return-based e-currency has been investigated and analyzed using free and fixed limits for both main variables time and currency. According to these data, the greatest value is 23 in fixed limit circumstances, while it is 18.4 in broad trend cases. The financial performance-based ANP method has been examined using the ANP approach with return values for the currency. The upper limit reached 544 with 0.43 as a G-value. An increasing number of people are valuing volatility. Because of the present high level of volatility, investing in Bitcoin is seen as a high-risk endeavor. The purpose of this study is to assist investors in developing a strategy that maximizes returns while minimizing risk
Leaner and Faster: Two-Stage Model Compression for Lightweight Text-Image Retrieval

Current text-image approaches (e.g., CLIP) typically adopt dual-encoder architecture using pre-trained vision-language representation.However, these models still pose non-trivial memory requirements and substantial incremental indexing time, which makes them less practical on mobile devices.In this paper, we present an effective two-stage framework to compress large pre-trained dual-encoder for lightweight text-image retrieval.The resulting model is smaller (39% of the original), faster (1.6x/2.9xfor processing image/text respectively), yet performs on par with or better than the original full model on Flickr30K and MSCOCO benchmarks.We also opensource an accompanying realistic mobile image search application.
ONLINE TEACHING AT THE FACULTY OF PHYSICAL EDUCATION AND SPORTS, THAI NGUYEN UNIVERSITY OF EDUCATION, VIETNAM: SITUATION AND SOLUTIONS

The COVID-19 pandemic has spread globally, affecting all aspects of social life, including university training. In response to this situation, Thai Nguyen University of Education in Vietnam has moved from direct teaching to online teaching. However, when applying this form of teaching, the University's Faculty of Physical Education and Sports is facing a number of difficulties because the lessons in the training program are mainly practical, which requires some particular teaching facilities, such as a yard and other training equipment. Stemming from the current online teaching and learning practices on the basis of surveying the situation, the author would like to offer a number of solutions to improve the effectiveness of online teaching in the Faculty of Physical Education and Sports to meet the training goals and plans.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0935/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Development of Artificial Intelligence Model to Forecast Photovoltaic Power Generation Including Airborne Particulate Matter

Purpose : This study aims to suggest an optimal model for predicting photovoltaic (PV) power generation by comparing single and hybrid models that include particulate matter in the atmosphere as input parameters.Methods : From December 2016 to December 2019, 1 MW-class PV power generation data in Jindo-gun, Jeollanam-do and meteorological data and particulate matter data from Mokpo were used. Radiation, sunshine time, pressure, temperature, humidity, wind speed, wind direction, snow load, precipitation, PM10, and PM2.5 were used as input parameters. We used single models such as random forest (RF), artificial neural network (ANN), long short-term memory (LSTM), and gate recurrent unit (GRU) and hybrid model such as LSTM-ANN and GRU-ANN. Coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE) were used to compare and evaluate the prediction performance of the models.Results and Discussion : The variable importance through RF was as follows: radiation (77.66%), day light hours (4.85%), pressure (4.16%), temperature (3.98%), humidity (2.25%), wind speed (2.21%), PM10 (2.72%), PM2.5 (1.65%), wind direction (1.44%), snow cover (0.05%), and precipitation (0.02%). GRU-ANN showed the highest R2 (0.838) among the models and lower epoch (8) than GRU using the early stop.Conclusion : The GRU-ANN model was the most suitable for forecasting PV power generation including particulate matter.
The Effect of Corporate Social Responsibility (CSR) on Brand Equity (BE) in Commercial Banks between Awash International Bank S.C and Commercial Bank of Ethiopia in Dire Dawa, Ethiopia

The objectives of this study was to examine the effect of CSR on brand Equity in Commercial Banks particularly between Awash Bank and Commercial Bank of Ethiopia in Dire Dawa Multidimensional corporate social responsibility (philanthropic, ethical, legal, and economic) on brand equity (brand awareness, brand association, perceived quality, and brand loyalty)in the banking industry, specifically were investigated the case of Awash Bank branch and Commercial Bank of Ethiopia branch in Dire Dawa Districts. Descriptive and explanatory research design quantitative methods were used and also using non-probability sampling technique. This study was used quantitative data collection tools self-administered structured questionnaires for collecting information. Both primary and secondary data sources were used to satisfy both the general and specific objective of the study. The data collected were analyzed through both descriptive and inferential statistics. Inferential statistics such as such as independent-samples t-test and ordinal logistic (O logit) regression data analysis were used. The survey findings the bank managers should be considered, CSR activities can create a positive impact on a bank’s image, as perceived by its customers. Although three CSR components (Legal, Ethical and Economic domains) are found significant, they vary in terms of their importance by the banks’ customers. However, Philanthropic domain of CSR is not significantly influence on Brand Equity in commercial banks particularly Awash Bank and Commercial Bank of Ethiopia in Dire Dawa thus, need to realize and incorporate these activities into their corporate strategy if they want to obtain and sustain a good level of competitive advantage, it will create a positive influence on society engaging in charitable activities, donating to the society and protecting the environment. Keywords: Brand Equity, CSR, Economic, Ethical, Legal, Philanthropic, and Commercial Banks DOI: 10.7176/RJFA/13-7-04 Publication date: April 30 th 2022
A Survey on Multidimensional Chaotic Maps and Genetic Operator

Abstract: The image encryption and decryption is the one of the ways to providing security to digital image. Encryption technique is a process of converting plain image into a cipher image. Decryption technique is a process of converting cipher image into a plain image. In this paper a survey of several multidimensional chaotic maps along with genetic operator were used in order to secure an image are discussed and along with the advantages and disadvantages of those maps. Keywords: Chaotic system, Chaotic maps, 1-dimensional logistic map,2-dimensional henon map,3-dimensional chebyshev map.