Reviewerly/exHarmony huggingface dataset:
Application of Integrating Computer Technology with Music Teaching in the New Media Environment

Abstract Computer technology has paved the way for a country’s modernization. Under the leadership of the central government, the “Internet +” national strategy is deeply rooted in the hearts of the people. At the same time, in the context of computer technology, music classrooms and teaching methods have also changed. New music teaching methods have appeared in the infinite development of Smart Class as they have broken the traditional method of music teaching in the classroom and arranged the relationship between music teachings. This paper analyzes the unique advantages and problems of introducing new music teaching into the intelligent teaching environment, and puts forward some suggestions and solutions. I hope that more people in the field of music education can keep up with the times and make full use of new network technologies, thereby rapidly improving traditional teaching methods, improving teaching efficiency, and increasing the number of music talents in China.
The Study of Student Cadre Training Strategy in Higher Vocational Colleges

The student cadre team of higher vocational colleges is the bridge and link between the school and students, and is the important force to promote the effective and efficient development of student work. This paper firstly expounds the problems in the process of student cadre training in higher vocational colleges, then analyzes the causes of the problems and finally puts forward the countermeasures of student cadre training. The student cadres in higher vocational colleges are the outstanding representatives and typical demonstrations of the student group. To a great extent, they improve the efficiency of the student management work, improve the quality of the student management work, and at the same time, the student cadre team in higher vocational colleges is the hard core in maintaining school stability and promoting school development. How to cultivate a student cadre team of high consciousness thinking, perfect business level and strong executive capability has a very important practical significance of development for the higher vocational colleges.
CYBER CRIME: AN ANALYTICAL STUDY:

Cybercrime also called the Computer Crime is any crime that involves a computer and a network. As individuals and businesses increase their reliance on technology, they are exposed to the growing cybercrime for our day to day transactions is quite common now a day.
Business Students’ Attitude Towards Education

This paper focuses on the topic of university education of modern business students through the lens of their attitude towards university education. Several factors were considered such as attendance, peer influence, future aspiration, etc. These factors strongly affect students' attitudes and shape their opinions on what role the university education should play in their lives. A survey was conducted to create a complex image of the current reality. It was discovered that the attendance of modern business students is not affected by any of the factors that are usually considered to compose the quality of a university's education. More personal factors play a key role in influencing such decisions. The majority of business students put future job satisfaction in the first place.
Stochastic reconstruction of periodic, three-dimensional multi-phase electrode microstructures using generative adversarial networks.

The generation of multiphase porous electrode microstructures is a critical step in the optimisation of electrochemical energy storage devices. This work implements a deep convolutional generative adversarial network (DC-GAN) for generating realistic n-phase microstructural data. The same network architecture is successfully applied to two very different three-phase microstructures: A lithium-ion battery cathode and a solid oxide fuel cell anode. A comparison between the real and synthetic data is performed in terms of the morphological properties (volume fraction, specific surface area, triple-phase boundary) and transport properties (relative diffusivity), as well as the two-point correlation function. The results show excellent agreement between for datasets and they are also visually indistinguishable. By modifying the input to the generator, we show that it is possible to generate microstructure with periodic boundaries in all three directions. This has the potential to significantly reduce the simulated volume required to be considered representative and therefore massively reduce the computational cost of the electrochemical simulations necessary to predict the performance of a particular microstructure during optimisation.
RELATIONSHIP OF TRADITIONS AND INNOVATIONS IN THE IMPLEMENTATION OF MORAL EDUCATION

The purpose of the article is to assert the primary need for moral education of the younger generation in all areas, from family to educational. The selection and rational approach to the application of various methods of education, and first of all, moral, aimed at the optimal solution of the problems of forming a harmoniously developed personality in the family and educational space. The authors considered not only conditions favorable to moral education, but also proposed an original methodology for its implementation. Particular attention was paid to the formation of the social platform of the educated, and their further socialization in connection with the mastery of future professional activities. The authors were focused on the problems of forming a harmoniously developed personality in the educational process of creative higher educational institutions. The research results consist in a scientific and theoretical study and identification, from the point of view of psychology and pedagogy, of the problems of forming a harmonious personality during upbringing in the family and educational space, as well as in the development of scientific, methodological and practical recommendations aimed at an effective educational process. New approaches in the educational space were studied and applied in education, and approbation was carried out illumination of favorable conditions for the effective development of their creative potential, as well as improving the spiritual and moral baggage of students with the help of advanced approaches in the education of a harmoniously developed personality.
Application of VR virtual reality in film and television post-production

Abstract In recent years, VR virtual reality has gradually become a hot topic in society. As a medium integrating computer technology, imaging technology and human-computer interaction technology, VR virtual reality brings both a new interactive narrative method in the evolution of media and New means of communication in the era of text change. The purpose of this article is to analyze the current situation of the application of VR virtual reality in film and television post-production, and analyze the predicament of VR virtual reality in film and television post-production in order to help film and television post-production. In this paper, through a questionnaire survey and random selection of 50 students for digital image synthesis majors who have participated in digital film and television special effects production in a university, the survey results are collated and analyzed. 94.69% of students believe that VR virtual reality is in film and television post-production. The application makes the work more colorful. The application of VR virtual reality technology in the late stage of film and television has promoted the development of diversified creation and the development of film and television post production. At the same time, the application of VR virtual reality technology has improved the efficiency of film and television production, reduced the cost of physical setting, and saved resources.
PERBEDAAN HASIL BELAJAR ANTARA MAHASISWA YANG BERASAL DARI SMA DENGAN SMK PADA PROGRAM STUDI PENDIDIKAN AKUNTANSI UNIVERSITAS PGRI PALEMBANG

Abstract─The Accounting Education Study Program is a program of social science where students have different educational backgrounds, namely from the Social Sciences and Social Sciences Department High School with the Vocational School of Accounting and Office Administration.The method used in this study is the comparative method (comparing).Based on the results of the discussion, it can be found that the average value of Introduction to Accounting students who come from the Natural Sciences Department 77.16, Social Sciences 80.595, and Students who come from Vocational Schools 86.442 from these average results, the highest average is students who came from a vocational majoring in accounting with a high school majoring in social studies.The results of testing the hypothesis by using the parametric statistical comparative test of more than two independent samples, the results obtained Fcount 6.152> Ftable 0.05 / 2 = 3.11 then Ha is accepted and Ho rejected.Means there is a very significant difference between student learning outcomes from high school and vocational high school in the Accounting Education Study Program at PGRI University Palembang.
Looking into the Operational Modalities Adopted in Some of the POS Tagging Tools in Identification of Contextual Part-of-Speech of Words in Texts

Part-of-speech (POS) tagging is an indispensable method of text processing. The main aim is to assign part-of-speech to words after considering their actual contextual syntactic-cum-semantic roles in a piece of text where they occur (Siemund &amp; Claridge 1997). This is a useful strategy in language processing, language technology, machine learning, machine translation, and computational linguistics as it generates a kind of output that enables a system to work with natural language texts with greater accuracy and success. Part-of-speech tagging is also known as ‘grammatical annotation’ and ‘word category disambiguation’ in some area of linguistics where analysis of form and function of words are important avenues for better comprehension and application of texts. Since the primary task of POS tagging involves a process of assigning a tag to each word, manually or automatically, in a piece of natural language text, it has to pay adequate attention to the contexts where words are used. This is a tough challenge for a system as it normally fails to know how word carries specific linguistic information in a text and what kind of larger syntactic frames it requires for its operation. The present paper takes up this issue into consideration and tries to critically explore how some of the well-known POS tagging systems are capable of handling this kind of challenge and if these POS tagging systems are at all successful in assigning appropriate POS tags to words without accessing information from extratextual domains. The novelty of the paper lies in its attempt for looking into some of the POS tagging schemes proposed so far to see if the systems are actually successful in dealing with the complexities involved in tagging words in texts. It also checks if the performance of these systems is better than manual POS tagging and verifies if information and insights gathered from such enterprises are at all useful for enhancing our understanding about identity and function of words used in texts. All these are addressed in this paper with reference to some of the POS taggers available to us. Moreover, the paper tries to see how a POS tagged text is useful in various applications thereby creating a sense of awareness about multifunctionality of tagged texts among language users.
English Vocabulary Classification Based on Deep Learning

Abstract A large number of words in the English language are derived from Greek myths, which can be roughly divided into seven categories: basic vocabulary, psychological vocabulary, astronomical vocabulary, geological vocabulary, biological vocabulary, fixed phrases and idioms, modern trademarks and advertising language. Based on deep learning, this paper conducts a classification study of English vocabulary. By introducing Greek myths, we can further master and use English vocabulary and appreciate the charm of English culture more.
Modern Strategies for the Development of Education in the Russian Federation: New Approaches and Solutions to the Problem of Professional Growth of a Teacher

The article analyzes current state of education in the Russian Federation and the strategic objectives of the school education development for the coming period until 2014. The purpose of the article is to highlight the specificity of the activities planned in the project to show their importance for the teachers’ professional development the education system improvement. The paper deals with the characteristics of the main issues of the national project "Development of Education" and a set of federal projects that specify the concept of the project. The article shows the ways of improving the quality of education through building the national system of teachers’ professional development. The article emphasizes teachers’ professional development is achieved by a system of organizational measures, including creation of Continuous Professional Development Centers for the teachers who do not plan to change their profession, and Advanced Training Centers for those teachers who wish to receive a new professional qualifications or the sphere of pedagogical expertise.
Ensemble Grammar Induction For Detecting Anomalies in Time Series.

Time series anomaly detection is an important task, with applications in a broad variety of domains. Many approaches have been proposed in recent years, but often they require that the length of the anomalies be known in advance and provided as an input parameter. This limits the practicality of the algorithms, as such information is often unknown in advance, or anomalies with different lengths might co-exist in the data. To address this limitation, previously, a linear time anomaly detection algorithm based on grammar induction has been proposed. While the algorithm can find variable-length patterns, it still requires preselecting values for at least two parameters at the discretization step. How to choose these parameter values properly is still an open problem. In this paper, we introduce a grammar-induction-based anomaly detection method utilizing ensemble learning. Instead of using a particular choice of parameter values for anomaly detection, the method generates the final result based on a set of results obtained using different parameter values. We demonstrate that the proposed ensemble approach can outperform existing grammar-induction-based approaches with different criteria for selection of parameter values. We also show that the proposed approach can achieve performance similar to that of the state-of-the-art distance-based anomaly detection algorithm.
Using a Requirements Modelling Language to Co-Design Intelligent Support for People Living with Dementia

Context and motivation: this research developed a new AI application to support people with dementia to maintain quality of life. Problem: the research explored methods for co-designing models of goals that users of an AI application will seek to achieve. Principal result: An effective co-design method for enabling domain experts to externalize and validate expertise about dementia care. Contribution: A co-design goal modelling method effective with dementia care workers, but still untested with experts in other domains.
Image Compression for Constrained Aerial Platforms: A Unified Framework of Laplacian and cGAN

In this paper, we propose a new lossy image compression technique suitable for computationally challenged platforms. Extensive development in moving platforms create need for encoding images in real time with less computational resources. Conventional compression algorithms have potential to address this problem. However, the reconstruction accuracy of conventional encoders does not match that of deep learning based compression algorithms. In this paper, we have utilized best of both worlds by proposing a new compression method which combines conventional and deep learning based methods to sustain real time transmission and as well good reconstruction quality. We have validated our algorithm across a varied set of test images from EPFL mini drone dataset and Stanford drone dataset. The proposed algorithm exhibits better rate-distortion performance than conventional method. More importantly, our algorithm gives real time performance which has been substantiated by displaying a dramatic improvement in speed as against state-of-the-art deep learning compression method.
INNOVATION EFFORTS IN PROMOTING LITERATURE IN UNIVERSITY ENVIRONMENT

Our study describes the aims, concept, methodology and execution of literature promotion activities at the Institute of the Hungarian Linguistics and Literary Science in Nitra. The Institute is specific because students with teacher education programme orientation complete various class assignments from their first semester, which are to be performed within the framework of non-formal education. These class assignments have two main objectives: to improve the transfer of theoretical knowledge on literature through various educational lectures, workshops and meetings and to expertly impart scientific knowledge, i.e. to ensure thorough pedagogical preparedness in relation to methodology by ensuring experience workshops, methodological projects and sessions focusing on nurturing talent. A primary objective of the activities to promote literature implemented as part of the concept of class assignments is therefore to disseminate knowledge on literature, innovations in relation to methodology in the study of literature, and contemporary literary works as widely as possible. To this effect, the Institute organises several specific literary and cultural events for training purposes and to provide students with a model for conducting professional events and to prepare future teachers to shape the attitudes of their future pupils and lay the foundations for a positive attitude towards literature and culture.
Basic Differentially Private Mechanisms

This chapter presents simple mechanisms for signal filtering under differential privacy constraints, which add white noise directly on the sensitive input signals or at the output of a desired filter. We introduce concrete examples of adjacency relations for individual and collective privacy-sensitive input signals. We then describe the Laplace and Gaussian mechanisms to enforce $$\varepsilon $$- or $$(\varepsilon , \delta )$$-differential privacy with respect to these adjacency relations, by adding Laplace and Gaussian noise respectively. For these mechanisms, adding noise at the output of the desired filter requires computing the sensitivity of this filter with respect to the signal variations allowed by the chosen adjacency relation.
Brief History and Overview of the Main Ideas for Quantum Computing

The idea of quantum computing was put forward 40 years ago. It became a subject of great excitement after 1994, when Peter Shor proposed his fameous factoring algorithm. In this chapter, the main theoretical ideas and terminology of quantum computing are briefly presented. The frightening statement, commonly used by journalists that the qubit can be in two different states at the same time, is demystified.
A Study on the Strategies of Promoting Students'Participation in the Blended Teaching Model

The blended teaching mode mainly combines the advantages of traditional classroom teaching and network teaching, and fully embodies the teaching concept of teachers as the dominant and students as the main body. Nowadays, under the premise of the continuous development of national policy, social demand and information technology, blended teaching method has been attached great importance in the curriculum reform of colleges and universities, and has been vigorously promoted. At present, an important resource urgently needed by society is talents, and in order to realize the innovation of talent training mode, students'participation should be taken as the focus of teaching. This paper mainly introduces the current situation of student participation under the background of blended teaching, deeply analyses the main problems of student participation under the blended teaching mode, and puts forward specific solutions.
Emerging Trends in English among Youths in Nigeria – An Exploratory Study

The study explored the potential impact of emerging trends in the formal written English language of youths which hitherto is uninvestigated in South-east Nigeria. Through a random sampling process, 2000 copies of pretested and validated questionnaire written in English were administered to undergraduates at five federal universities in south-east Nigeria. In addition, print-out of a couple of group conversations on Facebook and WhatsApp and Key Person Interview (KPI) was used to supplement the questionnaire data. In all, 1940 copies of questionnaire representing 97.00% were completed and returned for analysis. Results showed that emerging trends in written English conversation as social media convention is common among students in tertiary institutions. Findings revealed that 98.87% of participants used emerging trends during classes which indicates a massive infiltration of formal written English with social media trivialities while a statistically significant 34.54% have had to use these emerging trends though unconsciously during exams which reflects their deep and deliberate learning of these most potentially contentious tools of informal written conversation. Ultimately, the study confirmed that activities on social media was taking its toll on the students’ performance in written English as they can no longer tell the appropriateness of one variety or another. In conclusion, the study established that emerging trends have profound negative impact on written English and recommends that teachers/instructors must make purposeful efforts to unteach that which has been wrongly learned by insisting that students begin to imbibe the culture of standard and formal writing regardless of the purpose of the writing.
Kurt W. Fischer’s Insight

The investigators who prefer to construct or to test bold a priori ideas currently dominate physics, although they were a minority before the invention of quantum mechanics. Biology consists mainly of investigators who enjoy trying to illuminate puzzling phenomena while holding preferred a priori hypotheses lightly. The majority of psychologists who study cognitive development belong to the first group of scientists. They posit abstract cognitive competences, such as Theory of Mind, executive processes, causality, and the alpha of abstract talents, intelligence, that are presumed to consist of highly correlated members. Hence, they test favored a priori hypotheses with only one of the presumed measures. Kurt W. Fischer challenged this perspective and defied the majority view because he trusted his observations. The evidence told him that each measure of a member of one of the abstract skills possessed unique variance.