Reviewerly/exHarmony huggingface dataset:
An Anthology of the Distinguished Achievements in Science and Technique. Part 53: Nobel Prize Laureates in Physics for 2016–2019

Purpose: Brief presentation of the distinguished achievements of Nobel Prize Laureates in physics for current time period of 2016-2019. Methodology: Scientific methods of collection, analysis and analytical treatment of scientific and technical information of world level in area of astronomy, astrophysics, physicists of the condensed environments, laser physics, modern theoretical and experimental physics. Results: The brief analytical review of the scientific discovery and distinguished achievements of scientists-physicists in area of modern physical and technical problems which were marked the Nobel Prizes in physics for the period 2016-2019 is presented. In the number of such discovery and achievements of the best representatives of world scientific association entered: theoretical discovery of topology phase transitions and topology phases of matter, experimental discovery of gravity waves, revolutionary inventions in area of laser physics, astronomic discovery and contribution to our understanding of evolution of Universe and place of Earth in space. Originality: Systematization and analytical exposition is executed in short concentrated and accessible to the wide reader to the form of the known scientific and technical materials, awarded with the Nobel Prizes in physics for current time period of 2016-2019 and devoted to: the theoretical openings of topology phase transitions and topology phases of matter, experimental opening of gravity waves, revolutionary inventions in area of laser physics, astronomic discovery and contribution to our understanding of evolution of Universe and place of Earth in space. Practical value: Popularization and deepening of scientific and technical knowledge for students, engineer and technical specialists and research workers in area of astronomy, astrophysics, physicists of the condensed environments, laser physics, modern theoretical and experimental physics, extending their scientific range of interests and further development of scientific and technical progress in human society.
Анализ эстетической эмоции

The authors investigate the problem of the and analyze the conditions for the emergence and specific features of such a still poorly studied emotional reaction of a person, which is designated by the term (or synonymous: feeling, consciousness, reaction). Historical, philosophical, and cultural approaches to solving the problem of the are considered, and their low fruitfulness in terms of clarifying the specifics of the phenomenon of aesthetic emotion is noted. It is suggested that an approach from the standpoint of the modern level of development of human sciences, in particular the information theory of emotions and modern cognitology, can bring a significant progress in understanding the phenomenon of aesthetic emotion, which is implemented in this article. On the basis of modern scientific ideas about the nature of the origin and flow of emotions, an innovative vision of a special aesthetic emotion is built and the validity of this vision is proved.
A Significant Approach of Training and Development Intends to Decisive Factor for Employee’s Engagement and Retention

In this research article the researchers focused on training and development parameters which intends to decisive factor for employee’s engagement and retention in business organizations. The researchers  used the most significant employee’s factors such as job involvement, job satisfaction, performance rating, relationship satisfaction, and work life balance which intends to decisive factors for the employee’s engagement and retention. The employee’s retention and engagement are having the significant research issues in current business industry. The employee’s decisive factors are also playing a significant role with respect to employees’ engagement and retention points of view which are based on proper training and development approach. In this research study the researcher  used Likert scale for measuring the employees training and development factors and compiled data  at 0.05 significant level. Due to huge volume of data the researcher  used the principal components analysis (PCA) to reduce the dimension of factors and its significant approach using KMO and Bartlett's Test including reliability analysis approach.  The research study with respect to the descriptive and inferential statistics the researcher found concluded that employee factor performance rating is having a significant impact on employees’ engagement and retention and remaining factors such as job involvement, job satisfaction, relationship satisfaction, and work life balance its P- Value is greater than 0.05 significant level , so the null assumption is not significant towards employee’s engagement and retention.
Mathematical model and results for seismicresponses of a nonlinear isolation system

The friction and viscous damping actions always cause nonlinear responses of a seismic isolation system under earthquakes. Their influence on the seismic responses needs investigation in detail. In order to analyze the effects of nonlinear phenomenon on the seismic isolation system, a mathematical model was built for such a nonlinear isolation system, and the nonlinear responses were calculated and analyzed. The numerical results indicate that an appropriate combination of spring, Coulomb friction and viscous damper is able to achieve an optimal seismic performance. The stiffness and natural period of system are significantly influenced by the friction action. Both the friction action and the viscous damping action can dissipate earthquake energy, and the optimal value of one depends on the value of the other in the seismic isolation system. All of the values of spring, Coulomb friction and viscous damper should be accurately evaluated before the design of seismic isolation system.
Increasing Students’ English Vocabulary by Listening Western-Song at Seventh Grade of MTS Darul Falah Islamic Boarding School Enrekang

Vocabulary learning was a very important aspect for students when they are learning English. Students need new learning methods so they can enjoy the ongoing learning process. The teacher should also be able to convey the material well and using media appropriately. The purpose of this study was to determine whether song media can have a significant difference in increasing of students English vocabulary at seventh grade of MTs Darul Falah Islamic Boarding School Enrekang, and to find out whether the use of song media is more effective than the use of conventional media. The population in this study was 60 students. It consists of 2 classes and each class consists of 30 students. From the results of calculations at the time of the pre-test or before treatment, it was obtained the value of t0 = 1.517 tt = 2.001, with a significance level α = 0.05 and df = n1 + n2 - 2 = 58, then t0 is higher than tt which indicates there is a significant difference in increasing of students English vocabulary between classes taught using song media (experimental class) and classes taught using conventional media (control classes) after being given a pre-test, besides that the use of song media is more effective and has a significant effect than the use of conventional media, with the effective weight was, the final average score of students in the experimental class was 13.8 higher than the control class, which was 9.6.
EVALUASI NILAI SEBELUM DAN SESUDAH PELATIHAN: APAKAH BISA MENANDAKAN KEBERHASILAN?

The success of the training lies in learning activities between the presenter and the participants. The roleof technology media becomes substantial because it allows improving communication and transfer ofknowledge. The main objective of workshop training is to introduce and practice statistical processingmethods for research using IBM SPSS 23. The results of the training evaluation that a difference in theaverage value of participants' knowledge and abilities between pre-post conditions. A paired t-test wasused and concluded that the average value after training was significantly higher than before. Thetraining was conceptual into problem-based learning. It will increase its success with the support ofapplication technology. So the choice of the appropriate application technology in training is substantial.The IBM SPSS 23 application was selected, with consideration of various sources. Finally, thoseactivities have been carried out and accepted by the participants. In the future to add learning technologymedia (games, video tutorials) to the attractive tool and participant’s entertainment.
Analysis of Structure and Plots of Characters from Plays and Novels to Create Novel and Plot Data Bank (NPDB)

This paper consists of a technique that helps to build a well-structured character interaction network from plays and novels. In addition, the resulting network describes the leading characters along with their gender. Moreover, the network analyzes the gender of the central characters to the plots preferred by the author. We propose a databank called Novel and Plot Data Bank (NPDB) to store the relevant information by computing informative properties of the resulting network.
An Enhanced Autonomous Socio-Contact Tracing System of the Spread of Contiguous Diseases

&lt;p class="0abstract"&gt;COVID-19 and other neighbouring diseases spread widely, resulting in a global epidemic that was impossible to manage and control. While numerous measures have been put in place to detect an infected person and protect uninfected areas from contracting these contagious diseases, the spread of diseases like COVID-19 continues to be rapid. As of the time of writing this paper, the number of affected people has continued to rise, and there is no clear indication of the number of people who are infected but have gone undiscovered and are spreading the infections. That is why, in order to combat the threat of contiguous disease spread, this research presented an upgraded autonomous socio-contact tracing system on a mobile platform. As a result, a generic system development process was used to create a system that allows an infected person who has been tested positive to track their electromagnetic ID card in order to determine their exact location and the risk of spreading contagious diseases. by an autonomous smart assistant that assists in describing symptoms. As a result, the system is equipped with notifications alerts for the stages of social group identification, processing, and control in order to avoid the spread of contagious diseases. The development of this system is critical for controlling epidemic diseases that are spreading over the world (particularly COVID-19) and posing a threat to people's lives. Furthermore, it contributes to a greater understanding of the seriousness of epidemic diseases and how to avoid them.&lt;/p&gt;
AR/VR/MR: Enhancing the experience of The Healthcare World

Technology is progressing at such a breakneck pace that it has prepared the path for greatness in the healthcare field, not just in terms of therapy but also in terms of improving medical knowledge. “Augmented reality (AR), virtual reality (VR), and mixed reality (MR) technology improves your perception of the world around you.” Mixed reality (MR) is the merging of real and virtual worlds to produce new environments and visualisations, where physical and digital objects co-exist and interact in real time. Augmented reality overlays virtual elements in the real world, virtual reality is the digital recreation of the environment around the user, and mixed reality (AR) is the merging of real and virtual worlds to produce new environments and visualisations, where physical and digital objects co-exist and interact in real time. Mixed reality does not take place solely in the actual or virtual worlds.Its applications in healthcare are numerous and growing by the day. These technologies will be increasingly used to increase the accuracy and effectiveness of current operations, as well as to enhance the human being's skills, both as a caregiver and as a patient. Many apps for AR in the medical field are accessible in the Android and Apple stores.According to researchers in the healthcare industry, the worldwide AR market would develop at a significant 23 percent compound annual rate from 2017 to 2023. Although augmented reality is still in its early stages of commercial adoption, we can see it increasing swiftly. By the end of 2020, it is expected that 37 million gadgets will be in use. The virtual reality industry is still in its infancy, and the only way to go is up.By 2020, the virtual reality business is expected to be worth $30 billion, with over 135 million VR headsets in use on a monthly basis by 2025. Mixed Reality has already made significant progress, particularly in the medical field. As it has a favourable impact on the medical business, it will continue to improve the quality of healthcare and medical training. Medical practitioners have been aided by technology in looking beyond the naked eye experience of flat-world and making revolutionary modifications to increase realism.
ADVM'21

Deep learning has achieved significant success in multimedia fields involving computer vision, natural language processing, and acoustics. However research in adversarial learning also shows that they are highly vulnerable to adversarial examples. Extensive works have demonstrated that adversarial examples could easily fool deep neural networks to wrong predictions threatening practical deep learning applications in both digital and physical world. Though challenging, discovering and harnessing adversarial attacks is beneficial for diagnosing model blind-spots and further understanding as well as improving multimedia systems in practice. In this workshop, we aim to bring together researchers from the fields of adversarial machine learning, model robustness, and explainable AI to discuss recent research and future directions for adversarial robustness of deep learning models, with a particular focus on multimedia applications, including computer vision, acoustics, etc. As far as we know, we are the first workshop to focus on adversarial learning of multimedia deep learning systems, which is of great significance and we hope will be held annually in conjunction with ACM MM.
Building Rapport – Bridge the CHASM Based on Neuro-Linguistic Programming and Other International Concepts

Rapport is the secret ingredient that makes us feel a tangible and harmonious link with someone else. It is equivalent to being on the same wavelength with the other person. Rapport is the key that makes mutual trust materialize. This paper explores a simple set of techniques to build rapport and bridge the CHASM that exists between most people when they meet for the first time.
A Sociological and Anthropological Study of the Adverse Social Conditions Faced by the Youth Community Due to Their Use of Social Media: Courtesy of Kalutara Divisional Secretariat

The lifeblood of a country is the youth. The youth are also the strength of the country. They contribute to the security of the country as well as the economy. As children grow to perfection, young people seek to build their identity in society. Thus, it is clear that youth is also the stormy season of life. Many things are changing with the advancement of technology in today's society compared to the past. The focus of the youth community is very significant. Today's youngpeople are accustomed to being constantly in the face of the social media that has come with the advancement of communication technology. In the face of this situation, it seems that the youth are facing adverse conditions in society. The various content and services obtained through social media cause mental confusion among the youth. The test question in the study is what are the adverse social conditions faced by the youth community due to their focus on social media? To go the main objective is to study the adverse social conditions faced by the youth due to theirinvolvement in social media, to identify the relationship between the youth community and social media, to identify how social factors affect the adverse social conditions of the youth, and the adverse social conditions that the youth have. Among the specific objectives of the study are to identify the psychological factors that contribute to and to make suggestions for minimizing those adverse conditions. For the study, the youth community in the Palatota and Kalutara South Grama Niladhari Divisions of the Kalutara Divisional Secretariat Division in the Kalutara District were studied by 108 youths as a total sample fewer than 10% sample percentage. Systematic sampling was used to obtain information from databases. According to this study, the majority of those affected by social media users are young people between the ages of 19 and 22, with a percentage of 41.7%. The study also included 55 young men, 50.9% as female, 53% as female, and 49.1% as female. In particular, it can be concluded that young people are increasingly interacting with social media. Among the social ills that can be identified are various forms of abuse, financial fraud,mental confusion, family conflicts, casual relationships, and disruption to education. The proposals include improving school knowledge about technology, establishing a set of rules for accessing social networking sites, providing a proper understanding of social media, and establishing a secure social networking system.
The Design and Implementation of a Blockchain-Based Logistics Platform for International Trade

The document transfer and goods delivery process in the traditional international trade process require a lot of manpower and is inefficient. Also, the accidents like damage of goods and tampering of documents may cause the difficulties in attribution of liability. In recent years, there have been related studies analyzing the characteristics of blockchain and further exploring its applications in the logistics industry. But its applications in international trade are seldom discussed. Thus, we develop a blockchain-based logistic platform for international trade on top of blockchain to simplify the process, thereby showing the potential application of the blockchain technology in the logistics industry.
Дистанционное обучение: от каталепсии к метаморфозису

The topic to discuss at the article is formulated in brief as follows: how has the attitude towards distance learning changed (and has it changed) among the main subjects of educational interaction? There are two ways to get the answer to this question: analysis of what distance learning is, and what is its place in the modern education system (theoretical analysis). And the second way: statistics, which (at least partially) helps the authors to draw up an approximate reflection  on the status of distance learning of the 1st and 2nd year students  studying at the Siberian Federal University. The era of distance learning (DL) 1.0. is quickly replaced by 2.0 era. If for the first one the main methods were correspondent, case, watch, radio-and-TV, later network interactions, then for 2.0 one it becomes possible to have the effect of a virtual (including visualized holographically) presence of the teacher with the same effect as the educational interaction in the traditional classroom system. The theoretical reflection is expressed in the mutual and consistent removal of three concepts: from bihaviorism through constructivism to connectivism. At the same time, the meaning of educational interaction has under way shifted from organizational (and  often compulsory) learning through self-organization to learning, which meaning is not knowledge itself, but the ability to find the necessary  information and the ability to filter it. Based on these methodological theses, the authors made an attempt to highlight the main aspects of difficulties faced by university students as the main subjects of  educational practices in the transition to distance learning 2.0, and transforming it into an educational ecosystem. The hypothesis  formulated before the survey was that in the context of a pandemic caused totality and displacement, as well as the modernization of the  technical component of education, the determining condition was psychological preparedness for this transition. In fact, remote online training began in our country about ten years ago, and the sharpness of  the spurt in the direction of its development predetermined  psychological tension. The study results confirmed this hypothesis only  partially. The teacher community was less labile to transition compared to the student one. But at the same time, the statistics give a number of interesting nuances related to unequal opportunities for urban and rural entrants when enrolling in the State Federal University, the difference in the effectiveness of their interaction forms in the  teacher-student system and others. These nuances confirmed the thesis that psychological readiness for implementing, mastering and  developing online education in the 2.0 form requires primarily from the pedagogical community, and the difference in the level of responsibility  for the quality of educational practices (both provided and subjective) between teachers and students can be substantial.
PEMETAAN LOKASI KULIAH KERJA NYATA MELALUI PENERAPAN SISTEM INFORMASI GEOGRAFIS

The number of students who do not know the location of Community Development Program is located in the area Ciayumajakuning. Plus the usual implementation of KKN placed in remote villages that require students direct survey to the village location. However, the information is usually only served addresses and names of towns rather than in the form of a map. So that lack of information causes difficulty in finding the location of the student service learning. This research applies geographic information system that has the ability to build, store, manage and display geographic information, such as data identified according to location, in a database. This application utilizes MySQL as the database server, PHP as the programming language and Google Maps as map. The results of this study are expected to produce applications that facilitate students in finding a location points KKN. Likewise with the Supervisor field in order to more easily monitor students who carry community development program.Further, the application can also be easier for users seeking information about KKN.
Wie strukturiert man eine Machine Learning-Lösung?

01 |00:00:00 Start00:00:04 QUA³CK-Prozess 00:00:29 Standardprozesse KDD und CRISP-DM00:00:48 Vergleich Standardprozesse zu QUA³CK00:01:45 Question00:02:15 Understanding the data00:03:01 Das dreimal A00:03:02 Algorithm selection and training00:03:15 Data adaptation00:03:29 Hyperparameter adjustment00:04:16 Random search00:04:39 Grid search00:05:42 Conclude and compare00:06:16 Knowledge transfer