Reviewerly/exHarmony huggingface dataset:
Determine Material of The Gravity Particles and Understand the Mechanism of the Universe Gravity Fields.

Introduction: The new theory analysing the issue of the universe gravity through another corner while depends upon previous theories and concepts to find the way that guide to determine the material of the gravity particles and understand the mechanism of the universe gravity fields.Purpose: Visualize the gravity issue as much as possible to clarify the multi-factors working assembly guiding gravity field do its function.Method: Via understanding the function of the smallest construction unit of the Neutron which may represent gravity particles in its low density case and in the meantime represents the particles of the electromagnetic waves when been excited to move from the atomic gravity fields of the atom, due to jumping electrons among their orbits at plasma phase of materials. Finding the best logical probability of the formation of these Photons in the nuclear construction in stable energy state and how to expand gradually to the space around nucleus of atom to represent as atomic gravity field as extension of the nuclear constructions of materials in balance circumstances between the attraction and repulsion forces of the magnetic fields of Electrons and Positrons of these Photons, while this mechanism of the attraction and repulsion forces are also the power of collision and growth of gravity fields of different objects to form one new gravity field, grows gradually due to the attraction forces of the magnetic fields of Electrons and Positrons of Photons of these different gravity fields, guiding these material objects to attract each other in the space of the universe, because these Photons of the gravity particles have a deep roots in the nuclear construction of these material objects via a network of magnetic fields of Electrons and Positrons among Photons of the gravity particles and with same sorts magnetic fields of Photons of the atomic gravity fields and also with the magnetic fields of Electrons and Positrons of Photons of the nuclear construction units of these material objects.Results: The material gravity particles is Photon, and the mechanism of the universe gravity fields depends upon the magnetic fields of Electrons and Positrons of Photons of the gravity fields, therefor gravity fields are able to be detected via a long wave and a high sensitivity electromagnetic waves detectors, also its able to be visualized after a required modifications in our cameras to replace mirrors instead of lenses and long wave radio detectors (coils) instead the light sensors, and choosing a specific visual colour for each frequency and intensity to create images for gravity fields either which comes from a deep space due to collision of Neutron stars and black holes or from a nearby gravity sources.
ANALYSIS ON SLEEP APNEA DURING THEIR TEENAGE

The fitness tracker data for human activity recognition are playing an important role in improving health and monitoring the daily movements of human such as health care and fitness. This detects human activities such as step count, sleeps rate, calories burned, mood for the data collected by the activity tracker device and mainly helps in identifying the Apnea-Hypopnea Index (AHI) which is caused due to Obstructive Sleep Apnea. To overcome these problems, Homomorphic Encryption techniques are proposed, which is used for privacy preserving out-sourced storage and computation. The encrypted technique helps in protecting sensitive data from outsourced. Decryption of the medical data and analysis performed on the encrypted data.
빅데이터를 활용한 헤어 커트 패러다임 변화 연구

As the market share in the hair and beauty field increases due to the industrial development and market expansion, the importance of marketing phrases is also increasing. In particular, the effect of promotion varies greatly depending on how marketing phrases are structured and strategically placed. The PR is made up of strategically and intentionally focused activities such as top-ranking Internet portal site, SNS re-tweet, offline flyer, and POP. In addition, in the field of hairdressing, visual effect of before and after the procedure is very important, so a lot of promotional online marketing such as text marketing with photos of before and after procedures is done. The above discussion has confirmed the possibility of carrying out a new research using Big Data in the field of hairdressing. In the future, if automated text big data analytics is applied to various domestic big data, it is possible to compare and analyze the key words related to hair beauty and topic modeling, and able to provide fundamentals of text composition strategy for promotional marketing in the field of hairdressing. In addition, it will be effective for publicity when it is strategically structured to arrange the text placement of online portal site, SNS re-tweet, offline flyer, and POP by setting up the marketing phrase based on the text that shows the importance and frequency of customers rather than the random text list.
THE IMPORTANCE OF REFLECTION IN CREATING AN INNOVATIVE LEARNING MODEL

The concept of reflection based on the creation of an innovative teaching model is of key importance. Reflection is a way of organizing the optimal activity of consciousness, the process of thinking, the ability of a person to understand his own mental activity
Training Students of English Education at Universitas Negeri Makassar to Use Mixed Methods in Research Writing

This Community Partnership Program (PKM) activities with the topic of writing research proposals with a mixed approach was carried out in the English Language Study Program, Faculty of Languages and Literature, Makassar State University. The participants were twenty -eight (28) English students of Parepare campus who had registered to take part in the training. The purpose of this activity is to: a) increase the knowledge and insight of training students in making or compiling research proposals and final reports based on mixed research (b) mixed methods research, b) increasing their knowledge and skills in making research proposal designs using a mixed research approach (mixed methods research), c) increase their knowledge in terms of selection of appropriate research instruments based on a combination of methods used, d) increase their knowledge and skills about data collection by using a mixed research approach (mixed methods research) and e) increase their knowledge of how to analyze data using a mixed methods research approach. The methods of conducting training are lectures, discussions, questions and answers and performance. This method is implemented for a group of 28 students and then monitoring and evaluation is held. The results of the training showed the enthusiasm of the trainees which led to an increase in their ability to make research proposals using the Mixed Methods approach.
Subject guides: Science: FSC5041

Information to be used in conjunction with 'Researching Your Critical Appraisal' Library Workshop
AESTHETIC FEATURES OF THE FORMATION OF A HEALTHY ENVIRONMENT IN THE UPBRINGING OF CHILDREN IN THE FAMILY

The goal of the reforms carried out in our country is an indicator of the upbringing of healthy and spiritually mature youth in all respects. The article presents the role of the family in society, the issue of raising children in the family as people. It reveals the philosophical significance of our spiritual heritage in strengthening the family.
Comparative Analysis of Object Detection Algorithms for Face Mask Detection

COVID-19 has made mankind see unprecedented and unbelievable times with millions of people being affected due to it. Multiple countries have started vaccinating their populations in the hope that it will end the pandemic. Given the inequitable access to vaccines across the world and the highly mutating coronavirus it remains to be seen when will everyone get access to vaccines and how effective the vaccines might prove over the virus variants. Therefore, standard COVID behaviour is here to stay for some time. Wearing face masks is one such etiquette which greatly reduces risk of getting infected. Employing public face mask detection systems has helped multiple countries to bring the pandemic under control. In this paper we have done a quantitative analysis of different object detection algorithms namely ResNet,MobileNetV2 and CNN on face mask detection on accuracy and recall parameters using an unbiased, large and diverse dataset in order the algorithm which can be applied on a mass scale.
Updating Education Content Of Future Bachelors In Computer Science: End-To-End Digital Technologies

It is impossible to imagine modern education without digital technologies.They are fundamental and most relevant for the effective development of this area.Within the framework of the federal project "Digital Technologies" of the national program "Digital Economy", there is a list of end-to-end technologies that are prior for the development of digital economy.For their development and research in this area, fundamental knowledge of mathematics, computer science and technology is required.These requirements are presented by virtual and augmented reality, 3D printing, big data processing, block chain technology, quantum technologies and fifth generation (5G) communications.The program proposed by the author is intended for future first-year computer science bachelors who show a high interest in technical creativity, advanced areas of discrete mathematics, computer science, digital technologies, as well as active participation in regional events in the field of mathematics education, robotics, scientific and technical creativity (competitions in mathematics, robotics, master classes, lectures and special sessions).The purpose of mastering the developed content of education is to deeply master the mathematical foundations of computer science by future bachelors for their use in the study of end-to-end digital technologies: virtual and augmented reality technologies, robotics and sensorics, wireless communication technologies, new production technologies, quantum technologies, neurotechnologies and artificial intelligence, orientation in creation of conditions for communication and motivation, training and professional orientation of students in research activities for possible continuation of their studies in master and postgraduate program and subsequent work at enterprises in specialties related to robotics and digital technologies.
A Value-Based Perspective on User Experience - How Alexa's Value Dispositions Elicit Emotional Responses

Previous studies of user experiences with Conversational Agents (CAs) have often focused on specific use cases and evaluated usability and user expectations. Investigations of users’ emotional responses and on the value implications created by CAs have remained rare. We present a qualitative study with 30 participants, using a novel approach of observation that explores emotional responses to the underlying values elicited or harmed by the CA. Particularly, we report on the emotional responses to 37 unique values, which are involved when users perceive and interact with CAs or consider the social implications of CA usage. We found that harms of artefact-based values often continuously provoke anger and frustration. In contrast, our findings indicate that technology is particularly joyful when it fosters human values outside of central functionalities, such as community, autonomy, friendship, playfulness and humour. Manifestations of such person-based values can sustainably foster users’ personal growth, self-confidence and social relationships.
Speech Information Hiding Method Based on Random Position Selection and Matrix Coding

For the low-rate speech encoding problem, an information hidden algorithm based on the G.723.1 coding standard is proposed. In the pitch prediction coding process, by controlling the search range of the closed-loop pitch period (adaptive codebook), combined with the Random Position Selection (RPS) method and the Matrix Coding Method (MCM), the secret information is embedded, which is implemented in the speech coding process. The adoption of the RPS method reduces the correlation between the carrier code-words, and the adoption of the MCM method reduces the rate of change of the carrier. The experimental results show that the average PESQ  (Perceptual Evaluation of Speech Quality) deterioration rate under the algorithm is 1.63%, and the concealment is good.
Improving Student’s Vocabulary Ability Through Talking Stick Technique At Grade VIIA Of SMPN 3 Tongauna

This research study investigated a study about improving student’s vocabulary ability through talking stick technique at grade VIIA of SMPN 3 Tongauna. The objective of the study was to find out whether talking stick method can improve students’ vocabulary ability. This research applied classroom action research design. Focus on four steps, namely planning, action, observation and reflection. The subject of was students grade VIIA of SMPN 3 Tongauna with the total number of students was 30, consisted 12 females and 18 males. This  research was conducted temporary in two cycles where each cycles consist of one meeting of treatment and one meeting for evaluation. This research also implemented vocabulary test (qualitative) and observation sheet (quantitative) as the data of the research. The expected target of students‘ vocabulary ability was 80% the students got standard score 65. Based on the result of this study, it showed that there was an improvement of students’ vocabulary ability at grade VILA of SMPN 3 TONGAUNA the result in the pre-observation 1453 (20%) or 6 students improved, next in the cycle I, there was only 2032 (60%)or 18 students improved. Those are reflected an improved to the next cycle. In the cycle H there researcher found that was more progress than in previous cycle. The percentage of students vocabulary achievement in second cycle was 2359 (87%) or 26 students improved, the result of post test was 2372 (90%) or 27 students improved. Which the vocabulary of students is very good categories. Because the target plan was achieved. There for the treatment stopped based on the result of data it can be conclude that talking stick technique could improve students’ vocabulary ability.
Polycode Media Text: Research Methodology

Mass media language needs to be addressed as "it is that code, that universal sign system that helps to shape the world landscape in the individual and mass consciousness".The endeavors to visualize media content have become a characteristic feature of modern time, resulting in the increased impact of mass media on public and individual consciousness.The modern era is viewed as a new information civilization, featuring a single information medium, information environment; information activities; new products and services; new values and beliefs about the quality of life; new ideas about space and time, etc. Various semiotic systems are employed to generate a polycode media text.This is precisely a core difference between a media text and a text in its common linguistic sense, in which the text is defined as a sequence of sign units braced by a semantic tie, mostly characterized by integrity and coherence.The paper proposes to study the polycode media text through traditional linguistic analysis, as well as semiotic analysis that considers any artifact, cultural phenomenon as a text being an integral system of ordered and interdependent signs and symbols to ensure accumulation, organization and transmission of cultural experience.There are some texts in which all types of information are mixed, for example, in advertising.Modern media text is a carrier of integral meaning and integral function.Besides this, it represents a certain structure, i.e. a systemically ordered whole designed to influence the feelings and emotions of recipients, developing the world landscape in their consciousness.
Steganalysis and Encryption Detection using Deep Learning

Data is the building block of technological marvels in 21 st century. It has become a precious gem and is probably considered invaluable than any other. Today's crimes involve mostly on data theft, which has become a thorn on the side not only for an individual using a computer but also large corporates and governments. Out of all the crimes in relation to pilfering the data, Steganography stands tall. The recent advancements in the Steganography, The possibility of identifying a payload in a multimedia platform has become complicated. With the help of Deep Learning methods, A State-of-the-Art steganalysis model needs to be developed to rival this dynamic threat.
PEMBELAJARAN VOKAL DI SMP NEGERI 1 PAYAKUMBUH

This study aims to describe Vocal Learning in SMP 1 Payakumbuh. This research used qualitative approach, and it belongs to descriptive research. The data were collected through observation, interview, and documentation. The data analysis was conducted through data collection, data reduction, data presentation, and conclusion drawing .Data validity test was done by extending observations and increasing persistence. The results of this study indicate that: (1) lesson planning includes: a. The material being taught is provided in stages, b. The methods used are the lecture method, demonstration method, question and answer method, and assignment method, (2) the implementation of vocal learning includes: initial activities, core activities, and final activities, (3) learning evaluation includes process evaluation seen from students’ discipline, activeness, and seriousness. In addition, evaluation of results seen from the activities when students demonstrate. It uses indicators of techniques, material, and appearance.Keywords: Vokal, Materials, and learning outcomes
Phone numbers classificationwith feed-forward neural networks

A neural network (NN)-based method for phone number classification or recognition is provided in this paper. The used network is a one-hidden-layer multilayer perceptron (MLP) classifier. Its training is based on backpropagation learning. I present the results of a Feed Forward Neural Network trained to classify phone numbers into four categories: Different training data were pre-processed and then tested to distinguish between four classes/patterns of phone numbers in order to train the FFNN. My goal is to provide a coalescence of the published research in this field and to arouse further research interest in and efforts to research the identified topics.
Design of Hathaani - A Robotic Violinist for Carnatic Music

We present a novel robotic violinist that is designed to play Carnatic music -a music system popular in the southern part of India.The robot plays the D string and uses a single finger mechanism inspired by the Chitravina -a fretless Indian lute.A fingerboard traversal system with a dynamic finger tip apparatus enables the robot to play gamakas -pitch based embellishments in-between notes, which are at the core of Carnatic music.A double roller design is used for bowing which reduces space, produces a tone that resembles the tone of a conventional violin bow, and facilitates super human playing techniques such as infinite bowing.The design also enables the user to change the bow hair tightness to help capture a variety of performing techniques in different musical styles.Objective assessments and subjective listening tests were conducted to evaluate our design, indicating that the robot can play gamakas in a realistic manner and thus, can perform Carnatic music.
Using Open Calais to Identify the Research Areas of Engineering Faculty

To meet the research, teaching, and learning needs of their users, academic librarians, particularly those functioning as subject liaisons, are expected to know the institution’s curriculum and research areas so that they can help shape library strategies to meet those needs and to connect users to the library’s resources and services. The present study investigated the use of Refinitiv’s free web demo, Open Calais, as a text mining tool to help learn about the research areas in the University of Tennessee’s Tickle College of Engineering. We investigated the following research questions: What interdisciplinary research areas in the College does Open Calais reveal? What are the differences in Open Calais’ tagging of Scopus and web pages? What terms were uncovered by Open Calais that were unexpected by the subject librarian? The results showed a mixed picture of the usefulness of Open Calais for learning the research areas of the College of Engineering.
Information Security Policy and the Process of Combating Cybercrime in Uzbekistan

Consistent work is being done in our country to ensure the transparency of public authorities, the development of the media, freedom of speech and information, as well as the consideration of citizens in making decisions of social and public importance.
Understanding EFL Linguistic Models through Relationship between Natural Language Processing and Artificial Intelligence Applications

Natural Language Processing (NLP) platforms have recently reported a higher adoption rate of Artificial Intelligence (AI) applications. The purpose of this research is to examine the relationship between NLP and AI in the application of linguistic tasks related to morphology, parsing, and semantics. To achieve this objective, a theoretical framework was designed to investigate the direct and indirect impact of the relationship between NLP platforms and AI applications, such as machine learning and deep learning. Theoretically, this study contributes to examining the relationship between NLP platforms and AI applications through selected linguistic models from the English as a Foreign Language (EFL) perspective. Practical implications are derived from syntactic and semantic variables when AI applications are used. The results of this study suggest that AI applications can use to support NLP tasks, particularly the adaptation of deep learning applications that can prove useful in extracting analytical inferences and enhancing NLP approaches applied to EFL texts. The conclusion drawn of this study is that if NLP caters to knowledge-rich AI techniques, it can make significant advances in the linguistics disciplines of morphology, parsing, and semantics.
Review Paper on Computer Control using Hand and Gaze Detection

Gestures which are the movement of a part of the body to express an idea or meaning or to act in order to convey a feeling or intention. Every day, gestures are used like waving hand without us thinking about them. Gestures are an important part of communication. The objective of this paper is to use hand and gaze detection to interact with the computer for various different purposes. Compared to existing methods, hand gesture methodology has the bonus of being simple to use. By using this method, the traditional way to use the mouse and keyboard is modified because you can instead communicate with hand gestures device. Gaze tracking is a mouse movement technique which moves the mouse according to the movement of your eye ball along with the head movement to interact with the machine or the computer system. In this paper, an attempt has been made to combine both these algorithms to achieve more accuracy.