Reviewerly/exHarmony huggingface dataset:
Leadership Competency Formation in Management Students Using Mobile Learning Technologies

The focus of education on world standards predetermines the need to modernize the forms, methods, and means of teaching taking into account the current level of development of Internet technologies and information communications. Mobile learning reflects the educational trends most fully as it provides continuous access to information at any time. It should be noted that the development of mobile technologies makes portable mobile devices more usable and universal. With the development of mobile technologies, the need for quick access to information and the acquisition of knowledge has increased, as well as the mobility of the population. Therefore, the search for new approaches in organizing the educational process and creating educational materials accounting for the preferences of modern students and the information society as a whole becomes especially urgent. The goal of the study is to reveal the experience of implementing mobile learning based on the example of teaching the “Fundamentals of Leadership” course. Based on an experimental study, the study of the influence of the use of mobile learning technologies on the formation of leadership competency in management students is carried out.
Failing Forward: Educative Curriculum Materials, an English Teaching App, and a Revolution

Educative Curriculum Materials (ECMs) are teaching materials that have the dual function of providing learning activities to students and providing professional development to the teachers that use them. Answering a call for professional development opportunities, and with input from English teachers in rural Nicaraguan schools, the designers created a set of ECMs aligned with the Nicaraguan Ministry of Education Curriculum. When physically bringing the completed materials to educators in rural Nicaraguan schools became impossible, it was determined that the delivery system had to change. With support from a team of undergraduate computer science students, the ECMs were transferred to a digital delivery system, the new format allowing for even more English teaching and learning support. This paper shares how a revolution in Nicaragua and failed project ultimately led to the creation of the English teaching app Reaching for English.
THE IMPORTANCE OF THE MOTIVATION IN THE LEARNING PROCESS

The main purpose of the training process is to impart knowledge.Although we use all training methods effectively to achieve this goal, we often do not achieve high results in the training process.The reason for this can be seen in the fact that some students, some teachers, and some teaching methods do not meet the needs of students and teachers at the current level.Some see social factors as one of the main obstacles to the successful implementation of training methods.It is known that a child's opportunities for knowledge are very wide, but not unlimited.The article discusses the importance of motivation in the learning process.The main point explored in the article is that the role of motivation in learners' learning activities is very large.Thus, we can see that the correct setting of motivation by the teacher is very important when we look at it through the prism of increasing student activity.Such students prepare for lessons with greater enthusiasm and responsibility than others, and try to do their best to be as active as possible during the lesson.The article extensively explains the concepts of learning process, motivation and motive, explains the models of external and internal motivation, and studies the importance of their sustainability, longevity and sustainability.Motivation is a motivating psychological force that supports a person's performance.It eliminates their inactivity by directing human behavior, ensuring the sustainability of activity.The author talked about ways to increase motivation, tried to show the difference between those who are trained in low-motivated training and those who are trained in high-motivated training.The author emphasized that the main way to achieve a positive result in the learning process is determined by increasing motivation, and tried to show that high motivation is a well-developed personality.The article discusses the factors that affect the motivation of students and ways to motivate students.
Self Learning of News Category Using AI Techniques

Numerous e-news channels publish the daily happenings in the world from different sources. These huge amounts of news articles have lamentably conceived the information overload issue among the users. Hence text mining, which aims in extracting previously unknown information from unstructured text, has been widely used by several researchers to segregate full news articles however, the news headlines categorization is still specifically limited. Therefore, considering this limitation, the current research aims to propose a framework that will self-learn and automatically classify any given news headline into its corresponding news category using artificial intelligence methods i.e. text mining and machine learning algorithms. The proposed framework consists of three stages: Exploratory Data Analysis, Text Pre-processing, and Text Classification. For exploratory data analysis, the top 10 most frequent balanced news categories are chosen so that further processing of data can be done on a more balanced version of the dataset. After exploring the data, text pre-processing techniques are applied to make the data transformed, normalized, and structured. Finally, text classification is carried out with two approaches: unsupervised classification using Mean Shift and K-means algorithms and supervised classification using Logistic Regression with Bag of Words and TF-IDF algorithm. To depict the working of the proposed framework, a case study is presented on a news headlines dataset which accurately performed news headlines classification.
Sistem Pendukung Keputusan Rekomendasi Emiten Saham Menggunakan Metode Simple Additive Weighting

In the current era, stock investing is an instrument that is currently popular with Indonesian youth, stock investing is one of the many investment options that are increasingly in demand by various groups. Investing in stocks is an activity to refrain from enjoying the present for more enjoyment in the future, this investment often brings someone to be wiser in managing their finances, choosing good stocks is not an easy thing for some investors it takes many factors and ratios - financial ratios to choose stocks that can provide financing by the initial investment objectives. Therefore we need a system to help these problems. The system is a decision support system that can assist in making decisions from the available options. This Stock Issuer Recommendation Decision Support System Using the Simple Additive Weighting Method is here to assist decision-makers to choose good issuers or stocks to collect so that they can provide good profits in the future. The results of the calculation on the system using the Simple Additive Weighting method will show the best suitable stock recommendations for the user based on the data they enter.
Psychological Research of the Ability to Foreign Languages Acquisition

Along with psychological approaches and concepts of teaching foreign languages, concepts of mastering a foreign language, built on the ideas of appropriation and interpretation of a foreign language linguistic experience, have spread in psychological science. While not being opposed to theories of teaching foreign languages, these concepts and approaches, however, have some differences from them, which also require analysis and interpretation. To avoid misunderstandings in the use of the most general concepts from the field of psychology of mastering foreign languages, in their study the authors clarify them, guided by the literary materials that make up its scientific paradigm. The authors analysed the use of non-standard techniques to facilitate the acquisition of foreign languages.In their research, the authors tested the hypothesis that in the conditions of personality-oriented dialogical teaching of a foreign language, personal characteristics that complicate foreign language communication are significantly optimised. As a result of the experimental work, the hypothesis was confirmed; still, in an even more strengthened form: the significant connection between the motivation of learning and the level of development of abilities for languages is fundamentally destroyed. In other words, in the conditions of student-centred learning, insufficient development of potential language abilities ceases to be a factor that negatively affects the motivation of learning.
Internet Architecture: Current Limitations Leading Towards Future Internet Architecture

The original internet design principle was guided by the end-to-end principle in the early 1980s and formed the foundation for the existing internet architectural model. The priorities of the original internet designers do not match the needs of today actual users; rise in new players, demanding applications, erosion of trust and rights and responsibilities is pushing the internet to a new dimension. This paper presents the goals and principles behind the design of the original internet architecture, the resulting issues and limitations of the existing network architecture and the approaches that is driving the future internet architecture.
Penerapan Data Mining Dalam Meningkatkan Mutu Perawatan dan Perbaikan Perlengkapan Alat-Alat Kapal Laut Menerapkan Metode K-Means Clustering

This study aims to propose in carrying out sailing activities on the KN. Arcturus ship every week, so that maintenance and maintenance activities need to be carried out properly and scheduled so as not to interfere with ongoing production activities. The current machine breakdown is still relatively high and requires a long repair time, what is proposed is preventive maintenance using the Clustering technique. The method used is K-Means Clustering. By using this method, the data that has been obtained can be grouped into several clusters, based on the similarity of these data, so that data that has the same characteristics are grouped into one cluster and those that have different characteristics are grouped into another cluster. We can use the abundance of data to find hidden information from these data. In order to find out the hidden information from these data, it is necessary to process the data. The data processing process is also known as data mining. With this grouping it will know the results of the analyzed data.
Investigation on Image Encryption Using Chaos Based Techniques

As the trading of information over the open systems and internet is quickly developing, security of the information turns into a major concern. One conceivable answer for this issue is to encode the information. Chaos has been generally utilized for image encryption for its diverse elements. There are numerous chaotic based encryption procedures for information concealing like validation, hashing, cryptography have been created and are in practice nowadays. This paper moreover investigates the properties of various mapping techniques that stretches out to the execution parameters utilized as a part of encryption forms. Every one of the strategies checked on appeared inside the most recent years and are observed to be valuable for the present day encryption applications. Every system is one of a kind in its own specific manner, which may be reasonable for various applications. Over the long haul, new encryption strategies are advancing. Hence, quick and secure traditional encryption systems will be required in applications requiring high rate of security.
Panoramic visualization of thermal faults in power transformer based on data mapping technology

For the thermal monitoring of power transformers, contactless infrared technology has advantages of high resolution and fast responding time, and it does not disturb the original thermal profile across the transformer. However, the thermal faults detected by infrared technology can only be visualized on 2-D projection of the region of interest. The precise spatial localization of the thermal faults cannot be evaluated. In this paper, an improved Augmented Reality technology for panoramic visualization of thermal faults in power transformer is presented. Refined power transformer model is made by using 3-D scanning and reconstruction technology. Infrared images for the apparent temperature measurements of power transformers from different point of views and scales are collected, and the temperature matrix for each image are obtained by using a self-developed data extraction algorithm. Further, 2-D to 3-D geometry transformation are applied to do the mapping of temperature data on the meshing of the refined transformer model. Eventually, the thermal profile across the surface of transformer is holographically displayed, and the precise localization of thermal faults on the transformer can be carried out in 3-D space. Research in this paper makes contribution to smarter and efficient condition monitoring of power transformers.
A Result Analysis of Mask Detection based Notification System

Face mask detection system will be the best option for preventing covid-19 spread at public places. Those models are mainly required for ensuring safety and hygiene in a public premises .The research paper consist of full face scan using a pre-trained model such that all the facial characters can be imprinted on the pixel basis by the pre-trained model that takes input from the camera associated with the program. The whole of the program is based on convolutional neural networks which extract features and associate them in the form of neurons
Unit topic, grammar, and vocabulary basis to develop essays for b1 level students, applied during may-october 2020

This paper’s main objective is to present how to encourage B1-level students to write essays in the English language. The principal resource was a designed document with specific instructions for students to develop a writing essay. This tool limited students to copy and paste information from the internet.&#x0D; The students focused their writing on their ideas and experiences, and the teacher provided other resources like Top Notch 3 book contents, Grammarly platform, and a connectors list. Further, the teacher guided the students to use the resources in the process during May to October 2020.&#x0D; This study presents how the resources were applied and how practical they were to motivate students to write on their own.
Evaluating the CDMA System Using Hidden Markov and Semi Hidden Markov Models

CDMA is an important and basic part of today’s communications technologies. This technology can be analyzed efficiently by reducing the time, computation burden, and cost by characterizing the physical layer with a Markov Model. Waveform level simulation is generally used for simulating different parts of a digital communication system. In this paper, we introduce two different mathematical methods to model digital communication channels. Hidden Markov and Semi Hidden Markov models’ applications have been investigated for evaluating the DS-CDMA link performance with different parameters. Hidden Markov Models have been a powerful mathematical tool that can be applied as models of discrete-time series in many fields successfully. A semi-hidden Markov model as a stochastic process is a modification of hidden Markov models with states that are no longer unobservable and less hidden. A principal characteristic of this mathematical model is statistical inertia, which admits the generation, and analysis of observation symbol contains frequent runs. The SHMMs cause a substantial reduction in the model parameter set. Therefore in most cases, these models are computationally more efficient models compared to HMMs. After 30 iterations for different Number of Interferers, all parameters have been estimated as the likelihood become constant by the Baum Welch algorithm. It has been demonstrated that by employing these two models for different Numbers of Interferers and Number of symbols, Error sequences can be generated, which are statistically the same as the sequences derived from the CDMA simulation. An excellent match confirms both models’ reliability to those of the underlying CDMA-based physical layer.
ClusterMix K-Prototypes Algorithm to Capture Variable Characteristics of Patient Mortality With Heart Failure

Cardiovascular Disease (CVD) is one of the leading causes of many death worldwide, leading to heart failure incidence. The World Health Organization (WHO) says the number of people dying from cardiovascular disease from heart failure each year has an average of 17,9 million deaths each year, about 31 percent of the total deaths globally. Identify the mortality factors of heart failure patients that need to be formed, which reduces death due to heart failure. One of them is by using variable mortality due to heart failure by applying the k-prototypes algorithm. The clustering result is formed 2 clusters that are considered optimal based on the highest silhouette coefficient value of 0,5777. The results of the study were carried out as segmentation of patients with variable mortality of heart failure patients, which showed that cluster 1 is a cluster of patients who have a low risk of the chance of mortality due to heart failure and cluster 2 is a cluster of patients with a high risk of mortality due to heart failure. The segmentation is based on the average value of each variable of heart failure mortality factor in each cluster compared to normal conditions in serum creatine variables, ejection fraction, age, serum sodium, blood pressure, anemia, creatinine phosphokinase, platelets, smoking, gender, and diabetes.
A Data Mining Based Model for Detection of Fraudulent Behaviour of Water Consumption using Python with Django

Water is one of the important renewable natural resource, no one can survive without it either humans or animals. India is rich in terms of different natural resources, water is one of them. Water comes from different sources such as precipitation, surface water and ground water. Which play an important role in India's supply of water. India receives 70% of surface water in the form of rain (monsoon) during three to four months. Although India has sizeable water resources, the country faces huge challenges in the water sector as the distribution of water varies widely by season and region. Water Resources are the prime input to the growth and prosperity of the nation. The objective of this paper is to highlights the demand and supply of water in India, and the estimated water in major basins in India. It has been found that the demand for water is increasing substantially due to increasing population, growing urbanization, and rapid industrialization combined with the need for raising agricultural production. The supply of water is inadequate compared to its growing demand in our country. The per capital availability of water is also continuously decreasing. Therefore Sustainable development and efficient management of water is an increasingly complex challenge to India. It has been estimated that More than 2.2 million people die each year from diseases related to contaminated drinking water and poor sanitation.I.
Improving Security of Crypto-Steg Approach using Time Sequence Dictionary and Modifying Spacing Techniques

Cryptography and steganography are significant tools for data security. Hybrid the cryptography with Steganography can give more security by taking advantage of each technique. This work has proposed a method for improving the crypto-stego method by utilizing the proposed dictionary method to modified ciphertext then hiding modified encrypt ciphertext in the text by used the proposed modified space method. For cryptography, we have been utilized an advanced encryption standard (AES) to the encrypted message, The AES algorithm is utilized a 128bit Block Size and 256bit key size. The ciphertext characters is then replaced by the characters identified by dictionary list. The dictionary is time-dependent, where each of the equivalent words will shifting based on the time-shift equation. The modified ciphertext is then embedded into a cover text so that the attacker cannot separate them by applying cryptanalysis. The â€œModifying Spacesâ€ method used â€œSpacesâ€ to build a steganography tool that hide the secret message.&#x0D; The experimental results show that the proposed method has achieved high-security level when combined cryptography and steganography in such way that the ciphertext is changed to another value by a used dictionary with time sequence that makes cryptanalysis test failed to guess and identify the algorithm that been used for encryption. The stego. test shows the proposed method achieved good results in term of capacity and visibility which is approved it hard to notice. The tests also approved that the proposed methods run fast with a less computational requirement.
Development of a Video on Three-Dimensional Origami Creation Techniques to Improve the Practical Handicraft Skills of Teacher-Candidate College Students

The aim of this research and development is to create a video on the creation techniques of threedimensional origami that is proper and effective as learning media for the handicrafts course for students of Teacher Education for Early Education at the State University of Malang.The utilized research method was Research and Development (R&D).The stages of the research involved analysis of needs through instructional analysis, scenario development, video script development, footage recording, editing, and validation.The research results indicated that the developed video was declared valid and proper for usage as learning media based on evaluations from a media expert, material experts, and candidate users.Therefore, the developed media can be utilized to support the improvement of skills of candidate teachers for early education in the development of three-dimensional origami media products.
Learning Reading Skills: Problems and Solutions

Reading as a literacy activity is a key to advancing education. Learning to read becomes crucial at elementary school s in order to increase students' language skills which support other learning. Based on the results of interviews and observations, there was a problem that in learning Bahasa Indonesia at elementary schools, the students' reading skills we re low because the teacher only used the lecture method and books as a guide for students in reading skills. As a result, students were lazy to read and to understand the information contained in the books. This study was conducted to find out problems teachers and students face d in reading lessons at elementary schools . Th is study used qualitative descriptive research involving grade III students of SDN 08 Mandeh. The informants were select ed by using the snowball sampling technique. This study prioritize d direct data from informants and observations made in the field. The object of this study was the students’ reading skills in learning Bahasa Indonesia at elementary schools . The data in the study were collected through observation, interviews and documentation. Based on the data from observations, interviews and documentation, the researchers obtained solutions to the problems found in Reading Skills. The solution s were using attractive learning media, appropriate learning models, choosing vari ous reading materials, providing motivation and feedback, and encouragement from parents.