Reviewerly/exHarmony huggingface dataset:
Evaluation of Utilization of Information Systems in Jambi University Perspective Human Organization Technology (Hot) – Fit Framework

The purpose of this research was to be able to prove empirically the Human Organization Technology (HOT) - a FIT framework for evaluating the application of information systems toward systems that have implemented in university, especially at Jambi University. The type of data used in this study was primary data obtained directly from respondents using a list of statements in the form of a questionnaire. The research sample of this study was students in Jambi University. To calculate the determination of the number of samples, we used the sampling method to use the Slovin formula by using a 5% error level. The total example of this study was 400 people. The methodology of Data analysis carried out by using the Structural Equation Modeling technique (SEM) and SmartPLS tools. The finding in this study found that the dimensions of system quality in the technology aspect did not affect the utilizing, usage satisfaction, and structure and dimensions of information quality. The dimensions of service quality from the technological issue did not change the dimensions of organizational structure from the regulatory aspect. For the dimensions of user satisfaction from the human element, the dimensions of the organizational structure from the corporate issue also did not affect the net benefits. While other hypotheses such as information quality dimensions, service quality dimensions, system usage dimensions affected the proportions of user satisfaction, for the information quality dimension, the dimensions of service quality from the technology aspect affected the use of the system from the human element. Likewise, the system usage dimension influenced the dimensions of user satisfaction, and the environmental size changed net benefits. SIAKAD was a mandatory system, so that technology, especially system quality, was not necessary for evaluating the success of an order, the important thing was the quality of information and the quality of service to human and organizational aspects.
Suitability of Machine Learning Methods for Prediction of Popularity on Social Media in Comparison of Different Data Sets

The growing popularity of various social media and the use of neural networks in recent years has brought predicting opportunities in various sectors.Social networks, in conjunction with neural networks, are often used in healthcare (prediction of whether a disease occurs or symptoms return) or business (what will be the profit or error rate of the products) and are playing an important economic and marketing change in the 21st century.The aim of the presented project is to contribute to a deeper understanding of which machine learning method to use for which data set in order to ensure the best possible prediction success across different industries.A total of 10 methods were used and the success of a total of 13 data files was tested with the help of specialized software for machine learning and the Python programming language.Of all the methods tested, the highest success rate on most datasets was with the Random Forrest method.The success rate ranged from 58.38% to 98.65%.Out of the total number of 13 datasets, the Random Forrest method was 5 times the best in accuracy.
Impact of Globalization on Major Macroeconomic Variables: Empirical Evidence from Pakistan

Globalization is a multi-dimensional phenomena with profound impact on different aspects of the modern world, including economic, social, political, cultural, environmental, and geographical. This study is an attempt to analyze how various components of globalization, i.e., trade openness, financial liberalization and labor mobility impacts the economic dynamics of a developing country affecting the performance of macroeconomic variables including the budget deficit, inflation and economic growth. In this study, we use the terms trade openness and liberalization along with financial openness, financial liberalization and financial development interchangeably. The purpose is to capture the overall impact irrespective of nature as nature may lead to contradictory results. Furthermore, the labour flows give due attention as human capital is an inevitable avenue for the effective and sustainable growth of any country. It is noticed that various global factors effect budget deficits, inflation and economic growth with varying intensities depending upon the size and dynamics of the economy. The empirical analysis involves the time series data of Pakistan from 1973 to 2014. The autoregressive distributed lag (ARDL) methodology is used to obtain the results and policy related suggestions.&#x0D;
THE USE OF MODERN ICT IN CLASSROOM WORK IN THE FORMATION OF CIVIC AND PROFESSIONALLY ORIENTED FOREIGN COMPETENCE OF THE FUTURE FUTURE

The article analyzes the use of modern ICT in classroom work in the integration of civic and foreign language competencies. During the study, a set of complementary methods was used, which allowed to analyze the theoretical and methodological developments of domestic and foreign scientists on this method of active training of future specialists in the food industry. The methodology of research work is based on theoretical methods of scientific knowledge. The purpose of the study is to theoretically substantiate and analyze the specifics of the use of modern ICT in classroom work in the formation of civic and professionally oriented foreign language competence of future specialists in the food industry. In the course of the work the specifics of using modern ICT in classroom work in the formation of civic and professionally oriented foreign language competencies of future food industry specialists are considered, and the theoretical and methodological bases of the problem of using modern ICT in classrooms are substantiated. It is noted that the introduction of new innovative technologies, including the SMART Board interactive whiteboard with the involvement of SMART Notebook software, educational chatbots are modern tools that should help achieve this goal. The results showed that ICTs create ample opportunities for the development of modern education and allow to effectively build the learning process. Information and communication technologies (ICT) create ample opportunities for the development of modern education, primarily in the direction of individualization, create conditions for the realization of the creative potential of teachers and students. ICT educational tools include a variety of software and hardware designed to solve certain pedagogical problems that have a substantive content and are focused on interaction with students. In the field of teaching, the technology of using ICT opens up new didactic opportunities associated with the visualization of the material, its «revival”, the ability to visualize those phenomena and processes that cannot be demonstrated in other ways. There is an opportunity to concentrate large amounts of educational material from different sources, presented in different forms, optimally selected and composed by the teacher depending on the needs of students and the characteristics of the program. We consider the interactive whiteboard and the SMART Notebook program to be the most perfect technical tool for classroom work. The use of chatbots is promising and appropriate in the educational process.
DESIGN OF MACHINE LEARNING MODEL FOR CHARACTER RECOGNITION

Hand written character recognition or text recognition is the ability of the system to identify character or text automatically. Documents can be in any form such as documents, photographs, touch-screens or other devices. Each character will have its own feature sets. The classification or identification of characters are done based on proper selection of feature sets. Feature selection is the major step for any classification process. The machine learning model is created based on feature sets. Logistic regression model is used in this model to identify different characters. 97.33% accuracy is achieved using logistic regression model compared to existing work.&#x0D;
Government Secrecy and Security Classifications in the Context of Integrity Management in Malaysia

Secrecy in government is almost always perceived as being antithetical to accountability and transparency in the conduct of democratic government. However, it is undisputable that government secrecy is practiced the world over because it is indispensable to state security, international relations, public and personal interests. Hence, democratic governments must perform a delicate balancing act between openness and confidentiality in the handling of official information. Indeed, effective governance requires various legal regimes that control government information through security classifications and impose punishments on offenders. This paper aims to address the dearth of research on government secrecy and security classifications in the context of integrity management in Malaysia. Integrity management encompasses not only the exercise of moral values by public institutions and officials but also the integrity of processes and procedures that uphold the integrity of governance. This exploratory research uses qualitative content analysis of data gathered from official government publications and websites, relevant documents and course notes, as well as interviews and correspondence with field experts. The inferences derived from themes and categories generated have resulted in several important findings. First, the 1972 Official Secrets Act (OSA) plays a significant role as part of a plethora of statutes and ethical codes that are indispensable to upholding government integrity. Second, weaknesses in balancing between openness and confidentiality when handling official information are attributed to organizational failure, public officials’ lack of ethical values, comprehension and training. The challenge is to ensure that the OSA is not used for cover-ups of corruption, ethical misconducts and administrative transgressions while the proposed Freedom of Information Act does not lead to a culture of blaming and mistrust that could lead to the paralysis of government and governance.
Effects of Web-Based Learning and Cultural Literacy Towards Non-formal Educator Performance

The purpose of this research is to find out: (1) the influence of Web-based learning with the performance of Educators, (2) the influence of cultural literacy with Educators' performance (3) the influence of Web-based learning and literary culture together with performance Educators. The method used in this study was with a quantitative approach with the ex-post-facto method. The population in this study was all non-formal educators working in the Gorontalo City learning activities workshop amounting to 107 people, while samples were 59 people using proportional random sampling. Data is collected through poll deployments. The conclusion to this research is (1) there is a positive influence on Web-based learning on educators' performance, which means that the better web-based learning is better for educator performance. (2) there is a positive influence on the cultural literacy of the educator's performance, meaning that both the literate culture is also the higher the performance of educators. (3) there is a positive influence on web-based learning and cultural literacy together to the performance of educators working in the Learning Activities workshop in Gorontalo city, this means that the higher the implementation of Web-based learning and culture of literacy, the higher the performance of non-formal educators.
Geomorphometry methods for the classifications and analysis of the isolated hills in Lebanon

Geomorphometry methods for mountain ordering and classifications allow the recognizable proof of precise connections between different morphological parameters. The geomorphometric analysis incorporates quantitative estimation and examination of geography, it explores the impact of help, on landform evolution. Lebanese Mountains are classified based on the hydrological method of Strahlers stream order, closed-loop concentric contour lines define the first-order mountain. Higher-order mountains are defined by a set of closed contour lines containing lower-order mountains and have only one closed contour line for each elevation. This paper generates and classify mountains orders by their circularity forms and test the magnitude of isolated hills dissection, to understand their spatial location and the reason there are. These diverse lithologies and tectonic activities have contributed to developing many types of natural isolated hills of different forms such as circular, oval elongated, and complex shapes. The dissection of these forms of different mountain orders is analyzed by studying the variations in dissection index with mountains order and tested with the geological map of Lebanon. The result shows that the High dissection index value goes to the first and second mountains orders due to high erosion expressed by the high terrain relative relief, and the isolated hills were caused by the orogenic phase which began in the Upper Jurassic during the rise of the two mountainous chains Lebanon and Anti-Lebanon. These isolated hills are mainly part of the Cenomanian of the Cretaceous and the Upper Jurassic formed by the erosion generated from the stream density during this period.&#x0D; Keywords: Mountains order, dissection index, circularity index
Analysis of Public Opinion on Religion and Politics in Indonesia using K-Means Clustering and Vader Sentiment Polarity Detection

Religion and politics are two things that are closely related to each other and cannot be separated. Various public responses expressed by various public media such as print media and social media that can be classified as positive, neutral and negative, one of which is using Twitter. Twitter is a microblogging social media that contains many writings with many types from various types of users including posts that contain opinions about religion and politics. This research conducted an analysis process in the form of extraction of hidden insight data, visual analysis and sentiment analysis of public opinion related to religion and politics. The analysis was conducted on 5433 datasets written on Twitter on November 12, 2019. The analysis process began with data pre-processing, data clustering and sentiment analysis. Pre-processing data generates clean data from characters and non-essential data for use in the process of data clustering and sentiment analysis. Data clustering produces extraction of hidden insight data using k-means clustering. Sentiment data analysis uses vader sentiment polarity detection to determine dataset sentiments. The results of tests carried out using jupyter notebook show insight data hidden in the form of 50 unique words that are divided into 5 clusters of 10 words each then the sentiment analysis process is carried out in each cluster. Another result is visual analysis in the form of word cloud and hashtag clustering which shows the dominant words of each piece of data according to sentiment and word count. Also pointed out words that have a frequency of dominant emergence accompanied by word sentiments. The process of analyzing public opinion datasets related to religion and politics using k-means clustering and vader polarity detection sentiments can be done well.
Landauer’s Bound and Maxwell’s Demon

We summarize recent experimental and theoretical progress that has been achieved in the physics of information. We highlight the intimate connection existing between information and energy from Maxwell’s demon and Szilard’s engine to Landauer’s erasure principle. We will focus mainly on experiments on classical systems and we will shortly discuss a few aspects of quantum systems. We conclude by discussing applications in engineering and biology.
Automate Identification and Recognition of Handwritten Text from an Image

Handwritten text acknowledgment is yet an open examination issue in the area of Optical Character Recognition (OCR). This paper proposes a productive methodology towards the advancement of handwritten text acknowledgment frameworks. The primary goal of this task is to create AI calculation to empower element and information extraction from records with manually written explanations, with an, expect to distinguish transcribed words on a picture.&#x0D; The main aim of this project is to extract text, this text can be handwritten text or it can machine printed text and convert it into computer understandable or wNe can say computer editable format. To implement thais project we have used PyTesseract which is an open-sourcemOCR engine used to recognize handwritten text and OpenCV a library in python used to solve computer vision problems. So the input image is executed in various steps, first there is pre-processing of an image then there is text localization after that there is character segmentation and character recognition and finally we have post-processing of image. Further image processingalgorithms can also be used to deal with the multiple characters input in a single image, tilt image, or rotated image. The prepared framework gives a normal precision of more than 95 % with the concealed test picture.
Unsupervised Sentence-embeddings by Manifold Approximation and Projection

The concept of unsupervised universal sentence encoders has gained traction recently, wherein pre-trained models generate effective task-agnostic fixed-dimensional representations for phrases, sentences and paragraphs.Such methods are of varying complexity, from simple weighted-averages of word vectors to complex language-models based on bidirectional transformers.In this work we propose a novel technique to generate sentenceembeddings in an unsupervised fashion by projecting the sentences onto a fixed-dimensional manifold with the objective of preserving local neighbourhoods in the original space.To delineate such neighbourhoods we experiment with several set-distance metrics, including the recently proposed Word Mover's distance, while the fixed-dimensional projection is achieved by employing a scalable and efficient manifold approximation method rooted in topological data analysis.We test our approach, which we term EMAP or Embeddings by Manifold Approximation and Projection, on six publicly available text-classification datasets of varying size and complexity.Empirical results show that our method consistently performs similar to or better than several alternative state-of-theart approaches.
Design of Image Processing System on Pressure Varied Using Interferometer Mach-Zehnder

Quantitative analysis and visualization of light becomes very important when we understand the nature of light, namely interference. This also applies to light-darkness conditions (such as the nature of light when an interference phenomenon occurs) and the application of light-propagating light (such as the wavelength traveled by light in the airspace or pressurized space). Because in the nature of light requires experimental observations and program algorithms that utilize the process of analyzing the nature of the light that occurs (interferometer). This study aims to design an image processing system design to obtain qualitative from the nature of light interference. Large quantitative interference ring measurement trials were carried out using the width measurement results on the observation board which varied at pressures of 0, -100, -200, -300, -400, and -500 which were given light sources from the red laser. From the measurement results obtained the difference between rings on the board in the form of area. The area can be compared manually to get the uncertainty of the sidewall fabrication that gives an error in the measurement.
PSYCHOLOGICAL AND PEDAGOGICAL FEATURES OF THE IMPLEMENTATION OF THE APPLIED ORIENTATION OF TEACHING MATHEMATICS TO MODERN STUDENTS OF 5-6 GRADES

The article is devoted to the problem of finding effective ways and means of organization teaching mathematics process to modern students grades 5-6. On the basis of the researched psychological and pedagogical features of digital generation Z representatives to which modern schoolboys belong, the ways of realization of the applied orientation of teaching mathematics to students of 5-6 grades are considered. According to Theory of Generations, the generations of modern students are strikingly different from all previous ones. To organize effective cooperation, a modern school must respond to the changes that have taken place in the psychology and behavior of children and take them into account when organizing the learning process.&#x0D; The analysis of the psychological scientific literature shows that modern students have an active life position, unlimited opportunities to search for information, mainly visual perception, clip thinking. They perceive information quickly, but find it more difficult to memorize and quickly switch their attention, prefer an activity-based approach to learning, and depend on their own performance. The effectiveness of teaching mathematics to students in grades 5-6 is influenced by the level of development of their thinking, and such mental processes as perception, memory, attention, thinking, imagination. The specifics of the content of the subject "mathematics" requires increased attention and cognitive activity of students, so in the learning process it is important to encourage them to consciously and thoughtfully immerse themselves in learning, self-control, responsibility and independence by involving them in practice-oriented learning activities. By offering students tasks whose plots resonate with the modern life of students and their interests, the teacher has the opportunity to awaken students' interest in learning, encourage them to feel the need for new knowledge, organize purposeful learning activities and thus build a comfortable relationship between participants in the educational process. , which are most likely representatives of different generations.
THE RELIGIOUS ASPECT OF THE POETIC ETHNOGRAPHISM OF LARISSA ANDERSEN

Poetic ethnographism is one of the discursive manifestations of literary ethnography, organic for the lyrical type of consciousness. Despite the great degree of metaphor, occasional and artistic fiction, poetic ethnographism in the work of individual authors can become a valuable source of religious observations. This article presents the results of the study of the religious aspect of poetic ethnographism, which determines the content of “Letters from India” and “Letters from Tahiti” by the Harbin poetess Larissa Andersen (journal “Occultism and Yoga”). The object of lyricized epistolaries is the religious beliefs of the inhabitants of India and Tahiti as a direct expression of the religiosity of L. Andersen: Orthodox by faith, she was interested in esoteric teachings, was seriously engaged in yoga, while gravitating towards pantheism. This determined the tendency to syncretize religious phenomena and explains, on the one hand, L. Andersen’s interest in the developed spiritual culture of India, and on the other, her organic perception of the primitive archaic beliefs of the Tahitians...