Reviewerly/exHarmony huggingface dataset:
A study on remote communication from the idea of precognition

In the middle of the twentieth century, precisely during the Cold War, there was a great development in remote communication technologies, such that the empires, Soviet and North American, could watch one another from a distance, ensuring them political-military expansion and safety. That development has been inextricably linked to the theoretical currents, mathematical and systemic, that concurred for the scientific consolidation of information sciences. We suggest that these same currents have been used as possibilities to explain the precognition’s parapsychological mechanism, which concerns the early knowledge of information and that has been object to the debate of the articles we have analyzed. And surrounding this debate, we have presented evidence that the precognition shapes itself as the ideas, and also the implement of information technologies, consolidate themselves as intentional instruments of power and control of social behavior through remote communication.
Preface to Topical Papers on the Progress of Photonic Quantum Computer and Pertinent Technologies

This topical issue features optical quantum computer, OQC and its related technology developments. Every article describes fundamental aspects of OQC and quantum phenomena that OQC is based on. These include universal quantum computer based on quantum circuit model, quantum simulator, oneway quantum computer, fault tolerance, Boson sampling, squeezed state of photon, superposition, and entanglement. Much emphasis is laid on Linear Optical Quantum Computing for non-linear phase coupling between two photons which makes the technology very unique and gives advantages over other kinds of physical realization rather than optical. Alternative method of non-linear coupling has been realized by circuit QED with microwave photons.
Sistem Prediksi Pertumbuhan Ekonomi Kabupaten Musi Rawas, Kabupaten Musi Rawas Utara Dan Kota Lubuklinggau Dengan Metode Regresi Linier

The economic condition of a region in each period can increase or decrease by looking at changes in goods and services. An increase in economic activity is a process of changing economic conditions that occur in an area on an ongoing basis to get to a better state for a certain period of time. Economic growth is a benchmark in achieving the development of economic conditions in a region so that it has an impact on increasing people's welfare. South Sumatra's economic growth in the first quarter of 2021 improved compared to the previous quarter. Similar to economic growth in South Sumatra Province, the districts and cities in it (Musi Rawas Regency, North Musi Rawas and Lubuklinggau City) also experienced ups and downs of economic growth. With the current ups and downs of economic growth, Musi Rawas Regency, North Musi Rawas and Lubuklinggau City need accurate information about the picture of economic growth in the future, this is intended to be able to prepare various policies or actions so that the level of the economy in Musi Rawas Regency, Musi North Rawas and Lubuklinggau City can be increased. Based on this problem, Musi Rawas Regency, North Musi Rawas and Lubuklinggau City need a prediction system in order to see a picture of economic growth in the future. The purpose of this study is to design a prediction system that can predict the rate of economic growth in Musi Rawas Regency, North Musi Rawas and Lubuklinggau City. The method used in the prediction system is a simple linear regression method, the use of a simple linear regression method in this study due to the limited time of the study and used to determine the direction of the relationship between the independent variable and the dependent variable, whether it has a positive or negative relationship and to predict the value of the dependent variable if the value of the independent variable increases or decreases.
Metodologías para el aprendizaje a distancia en educación universitaria: experiencias y resultados en la docencia de contabilidad

Global health crisis has drastically changed teaching-learning processes at all educational levels. In the Spanish educational system this has meant a shift from face-to-face to remote learning. In the light of this situation, the learning process needs to develop new activities and roles for students and teachers. Both must acquire new skills that affect concepts and attitudes about the teaching and learning processes, within the framework of traditional training projects. Remote learning implies collaborative work between students and teachers. Teachers need to choose the best methods to achieve the learning objectives, in the framework of the relevant academic profile and characteristics of skills training. In addition, they must take into account the structural and organisational conditions required to perform these activities (remote learning, the use of new technologies, etc.).This paper describes the author’s experience in designing learning methodologies to teach a social science subject, Accounting, on the Business Administration degree at Universitad Politècnica de València, in a lockdown context. First, we describe the methodology designed to adapt the course from face-to-face teaching to online classes. Then, we analyse the main challenges and difficulties that arose. Finally, we present the assessment results and the conclusions obtained from comparing them to outcomes from previous academic years.
استخدام وسيلة لوحة الجيوب لترقية التحصيل الدراسي في مهارة القراءة لدى الطلاب الصف الثاني أ بالمدرسة المتوسطة الإسلامية الأهلية كوملا أتشيه

This study aims to determine the use of pocket board media that can improve student learning outcomes in grade 2A MTsS Keumala Aceh in reading skills. The research design used by the researcher in this study is classroom action research with two cycles, where each cycle consists of four stages, namely planning, action, observation and reflection. The data collection instruments used were observation sheets, test questions, and documents. The results showed that the use of question and answer cards media can improve student learning outcomes in grade 2A MTsS Keumala in reading skills, this can be seen from the average value obtained by students in the two cycles carried out by the researchers, namely 62.5 and in the second cycle with a value of 85.83.
Methods for the Flexible Parameterisation of Musical Material in Ableton Live

We present a set of tools that were developed for an exper- imental music project in which an album was created with 1,000 distinct variations and released as a digital limited edi- tion. The tools enable the parameterisation of musical com- positions created in the popular music software Ableton Live such that timelines of musical elements can be composed as keyframes and interpolated between.
Kesulitan Belajar Membaca (Disleksia) dan Kesulitan Belajar Menulis (Disgrafia) di SDN Cibadak 1 Kecamatan Cikupa

Dyslexia is a form of disturbance in the reading process. The form of difficulty in understanding words or sentences. Dysgraphia is a form of disturbance in the writing process. The form of difficulty in involving symbols, sounds, letters or numbers. Dysgraphia is used to describe very poor handwriting. This research uses qualitative research. The research method used by the researcher is descriptive qualitative. Qualitative descriptive, namely explaining the problems in the field. This research was conducted at SDN Cibadak 1 which is located on Jl. Raya Serang No.10, Cibadak, Kec. Cikupa, Tangerang Regency. In this study, the primary data used were Observation, Interview, and Documentation. Based on the results of observations, students at SD Negeri Cibadak 1 have the same types of disabilities, namely reading delays (Dyslexia), and Writing delays (Dysgraphia). Children with dyslexia and dysgraphia are low grade students, there are 3 grade 1 students who have learning delays, 1 grade 2 students who experience writing delays, and 1 grade 3 students who experience learning delays. Learning adjustments made at SD NEGERI CIBADAK 1 continue to use the same curriculum for children with special needs and other students, namely using the 2013 curriculum.
Russian Texts Detoxification with Levenshtein Editing

Text detoxification is a style transfer task of creating neutral versions of toxic t exts. In this paper, we use the concept of text editing to build a two-step tagging-based detoxification model using a parallel corpus of Russian texts. With this model, we achieved the best style transfer accuracy among all models in the RUSSE Detox shared task, surpassing larger sequence-to-sequence models.
A Collaborative Edge Computing Framework for Predictive Maintenance in Nuclear Power Plants

Abstract Nuclear power is an indispensable part of modern energy systems. To operate the nuclear power plants safely and reliably, it is crucial to greatly develop the predictive maintenance of nuclear infrastructure with the support of various smart sensors and big data analytics. To this end, this paper proposes a novel collaborative edge computing-enabled solution for predictive maintenance in nuclear power plants, from which a key problem of efficiently allocating some edge computing tasks is formulated. Specifically, considering huge amounts of industrial data are continuously generated during plant operations, we first present a three-layer predictive maintenance computing framework for nuclear power plants. Subsequently, to timely process these data in some distributed and heterogeneous industrial computing nodes, a complicated scheduling optimization model with some interdependent computational tasks is established. To lower the size of model, we also introduce some reduction strategies. Finally, an actual predictive maintenance scenario in nuclear power plant is chosen and some algorithms are taken for comparisons.
DEVELOPMENT OF DIGITAL COMPETENCE OF STUDENTS OF HIGHER EDUCATION INSTITUTIONS IN MIXED EDUCATION

The article highlights the issue of developing skills of digital competence of humanities students in the context of blended learning.The development of digital competencies aims to improve the usual skills of users to the level of professionals.The article draws attention to the fact that the current generation of students is a generation that grew up in the digital space, so certain skills for these students are programmed in their minds.Blended higher education allows students to better master the chosen areas of training through the digitalization of education.Due to the digitalization of education, students gain deeper knowledge of disciplines that are conducted in electronic format than those disciplines that are conducted in classrooms.The analysis of the survey showed that most students are more receptive to the information provided to them by digital technology.Research has shown that humanities students need more time to learn new digital programs and resources than technical students.The main condition for the development of information and digital competence of pupils and students is the appropriate training of teachers and lecturers.The National Report on the State and Prospects of Education Development states: "Determinant for the effective implementation of ICT in education and the development of the information and educational space is the formation of information and communication competences of pedagogical, scientific and pedagogical workers and management personnel of education by familiarizing them with current developments in the field of ICT , improving the qualifications of pedagogical workers, workers of methodical services, educational institutions, scientific institutions and education management bodies.Therefore, today's system of education and science must undergo radical digital changes and correspond to the global trends of digital development in order for every person to successfully realize his potential.The largest contribution to the study of digital competence of citizens in general and digital literacy of educators was made by the European Scientific Community.As a result, such documents were presented as the Digital Competence Framework: Citizens; consumers; teachers; educational organizations.The author highlights both challenges and concerns brought on by the rapid advancement of information technology and the potential for their integration into the educational process.The risks associated with using search engines, browsing websites, segmenting information, and gathering it are also covered by the author.
Features of the Digitalization of the Educational Process in a Sports Higher Education Institutions

The article deals with the peculiarities of distance learning organisation in a sport higher education institution during the pandemic. The subject of the study is the process of distance learning organisation in higher education institute during the period of COVID-19 restrictive measures. The Churapchinsky State Institute of Physical Culture and Sport is one of the first higher education institutions located in a rural environment, with more than 90% of its students coming from the heritage and districts of the Republic of Sakha (Yakutia). The specifics of higher education institute imply a large volume of practical training sessions and daily training in selected sports in equipped sports facilities. The distance learning format has made significant adjustments to the content and forms of practical training, in particular student sports training. A total of 320 full-time and part-time students from 7 areas of study took part in the survey. The results revealed the degree of students' readiness for the transition to distance learning, assessment of the possibility of full training for credit-examination session and state final attestation, features of practical training in elective courses of physical education and sports disciplines, the level of satisfaction, advantages and disadvantages in the organization of distance learning in higher education institution. The results of the study can be used to improve the organisation of distance learning in higher education institutions, while maintaining the quality and accessibility of the educational process. The novelty of the study lies in the investigation of the organisation of the distance learning format and the attitudes towards it of the students of a physical education institution located in a rural area. It has been established that the transition of the educational process to a fully distance format in a sports university has intensified the resources of the institute, forcing the use of information technology in training, while revealing certain difficulties.
A DNN based technique for age verification in OTT platforms

The streaming media services such as over the top (OTT) platforms offer open access to video content to the subscribers irrespective of their age. Different genres of movies suitable for different age groups are available to the viewers on the OTT platforms .Once subscribed; the user has easy access to uncensored content too, as there is no age confirmation during the signup process. Although these platforms allow one to buy subscriptions from credit or debit cards usually owned by adults, yet once the subscription is bought for multiple users, different persons of a household can use the same device and platform to view content of their interest. There is no option to track the kind of content they are viewing on these OTT platforms. The un-censored and adult content easily available on these platforms lead to unguarded exposure of the kids below 18 years of age to audio-visual content that is not suitable for their age. This can hamper the healthy mental and emotional development of the juvenile population. In this paper, we have proposed a deep learning based face detection module that can be integrated with the OTT platforms to verify the age group of the viewer before proceeding for selection of the content. This classification module will not only provide the first layer of security to enforce the age restriction policy for viewing age appropriate content but also can be used for creating a more effective recommendation system. In this paper, we have made a comparative analysis of three main face detection algorithms based on Convolutional Neural Network namely Haar Cascade, HOG and Deep Neural Network (DNN) to estimate an age cut off and range of a new face in real time. The highest accuracy of 92.56 percent was achieved in case of DNN based algorithm for both age cut off and age approximation detection. Precision recorded by DNN for large faces is 90%, which is higher than in case of HOG and OpenCV-Haar.
Technical Creativity Development in Russian Additional Education System: the Case of the Private Educational Institution "Andromeda"

The development of technical creativity of children and youth is a pressing issue in scientific research. The needs of modern society dictate its implementation. The development of pedagogical practice reflects the realization of society's needs of technically educated people. The focus of this research is on the development of technical creativity of children and adolescents using the private educational institution "Andromeda." The purpose of this article is to describe and substantiate modern approaches to the development of technical creativity of children and adolescents. The methodological foundation of the research is the work of domestic and foreign researchers on the development of students' creative abilities through the application of theoretical foundations in this field. The author of the article considers the methods of technical creativity development implemented in the given institution and describes the process of new methods introduction into the educational program on the example of 3D modeling courses in detail. The scientific novelty of the research is that the theoretical research of students' technical creativity is given practical justification through the example of PEI "Andromeda" activity. The integration of theory and practice becomes an important foundation for demonstrating effective forms of work with children and teenagers and the possibility of their popularization in the educational environment of postsecondary institutions. The study concluded that the system of additional education for children has a unique potential to develop students' abilities, with technical creativity being one of the actively developed areas of work with students.
EMPIRICAL MODELS FOR CORRELATION OF CLEARNESS INDEX WITH CLOUD INDEX AT ZARIA, KADUNA STATE

In this study, the monthly average daily values of global solar radiation and relative sunshine hours on a horizontal surface over a period of five years (2011-2015) using multi-linear polynomial form of the AngstromPrescott model have been developed to estimate global solar radiation for Zaria (northern part of Nigeria) which lies on latitude 11°04'N and longitude 7o 42' E. Five different mathematical correlations models (first order, second order, exponential, powered, and logarithmic) was considered and it was found that first order, second order polynomials, exponential and powered gives a good model for estimating total solar radiation in Zaria. The agreement between the measured values (that obtained from the Nigerian Meteorological Agency) and the computed values is remarkable and the models are recommended for Zaria
PISA DATA ANALYSIS 2018: READING DIFFICULTY LEVEL AND BULLYING TREATMENT

The main objective of this study is to answer the following questions. Is there a relationship between the level of reading difficulties and the treatment of bullying based on PISA 2018. The research method used is a quantitative method. The data in this study uses PISA 2018 data which has been released to the public and has been permitted to be used for research development purposes. The population of this study is 15 year old students who are studying in 2018, while the sample is 15 year old Indonesian students taking the 2018 PISA test. The reason for choosing the sample is students who are taking the 2018 PISA test. The data in this study is in the form of a questionnaire that students answer. Indonesia, which is 11437 students. Based on the results of the regression analysis, the results showed that there was a relationship between the level of reading difficulty and bullying treatment based on PISA 2018 (P&lt;0.000). The reliability of the instrument is 1.00 higher than the reliability of the person = 0.40. The conclusion is that statistically there is a relationship between the level of reading difficulty and bullying treatment based on PISA 2018. The higher the bullying treatment at school, the higher the students' reading difficulty level and vice versa.
Linguistic roles of surrogate language in the select literary texts

Language has verbal and nonverbal components and both of them complement each other in our daily communication. The former exists in spoken form and the latter uses body movement, musical instruments and sign language to convey meaning. Surrogate language is synonymous with nonverbal communication. This paper investigates the linguistic roles of surrogate language in the select literary texts. The study explores different media of surrogate language and states the roles of surrogate language in literary texts. This study adopts Katz, Blumler and Gurevitch’s Uses and Gratifications Theory. This theory states that audience use the mass media for their own purposes such as information, entertainment, messages, announcements and advertisements. The researcher selected seven literary texts using non-probability sampling method with particular reference to purposive sampling. The researcher made use of both primary and secondary sources such as textbooks, journal articles, theses and dictionaries. The author read, selected and jotted down surrogate language for easy presentation and analysis. It has been found out that in surrogate language, blind people can hear the sounds of the musical instruments and understand, deaf people can see the eye contacts of the speakers without bothering about the speech.
GuideDogNet: A Deep Learning Model for Guiding the Blind in Walking Environments

A guide dog is a critical companion for the blind, which enables independent travel of the blind. However, due to the costly and time-consuming training process, only 1.7% of the blind who wish to adopt a guide dog can take it. In order to alleviate this social problem, previous studies have suggested several blind guiding systems heavily based on hardware devices, such as GPS(Global Positioning System), RFID(Radio-Frequency Identification), and ultrasonic devices. However, those techniques lack administrative feasibility to use in real-world environments. Moreover, those techniques are deficient in warning of obstacles, which makes the system non-user-friendly. To guide the blind universally and provide accurate information about the obstacles without cumbersome devices, we propose a novel deep learning-based blind guiding system, GuideDogNet. The proposed system consists of an object detection network, depth prediction network, and post-processing module. To provide user-friendly outputs for the blind, we propose a rule-based post-processing module that outputs the label, direction, and distance of the obstacles by combining the results of the object detection network and the depth prediction network. We achieved an mAP of 67.8 on the AI Hub Sidewalks dataset which is publicly available. To the best of our knowledge, this is the first attempt at a deep learning-based blind guiding system.&#x0D; &#x0D; The code will be available on https://github.com/Yunseo-Hwang/AI-GuideDog