Reviewerly/exHarmony huggingface dataset:
Fast Frequent Item Mining from Big Data using Map Reduce and Bit Vectors

One of the most important areas that are constantly being focused recently is the big data and mining frequent patterns from them is an interesting vertical which is perpetually being evolved and gained plethora of attention among the research fraternities. Generally, the data is mined with the aid of Apriori based algorithms, tree based algorithm and hash based algorithm but most of these existing algorithms suffer many snags and limitations. This paper proposes a new method that overrides and overcomes the most common problems related to speed, memory consumption and search space. The algorithm named Dual Mine employs binary vector representation and vertical data representations in the map reduce and then discover the most patterns from the large data sets. The Dual mine algorithm is then compared with some of the existing algorithms to determine the efficiency of the proposed algorithm and from the experimental results it is quite evident that the proposed algorithm “Dual Mine” outscored the other algorithms by a big magnitude with respect to speed and memory.
GAME EDUKASI DUA DIMENSI PENGENALAN HEWAN BERDASARKAN CARA BERKEMBANGBIAKNYA

This research aims to produce learning media in the form of educational games. This educational game can be filled with learning content needed by children so as to provide new learning alternatives. The stages in this research start from collecting data by observation method, interview, documentation and literature. Game design through several stages, namely pre-production, production and post-production. Educational games designed to contain animal recognition materials based on how to breed. Animals featured in the game are animals that are often found everyday such as chickens, rabbits and elephants. Desktop-based educational games mean they can only be played on a computer.
Aggregating and Learning from Multiple Annotators

The success of NLP research is founded on high-quality annotated datasets, which are usually obtained from multiple expert annotators or crowd workers.The standard practice to training machine learning models is to first adjudicate the disagreements and then perform the training.To this end, there has been a lot of work on aggregating annotations, particularly for classification tasks.However, many other tasks, particularly in NLP, have unique characteristics not considered by standard models of annotation, e.g., label interdependencies in sequence labelling tasks, unrestricted labels for anaphoric annotation, or preference labels for ranking texts.In recent years, researchers have picked up on this and are covering the gap.A first objective of this tutorial is to connect NLP researchers with state-of-the-art aggregation models for a diverse set of canonical language annotation tasks.There is also a growing body of recent work arguing that following the convention and training with adjudicated labels ignores any uncertainty the labellers had in their classifications, which results in models with poorer generalisation capabilities.Therefore, a second objective of this tutorial is to teach NLP workers how they can augment their (deep) neural models to learn from data with multiple interpretations.
Social Responsibility of Subjects of Educational Activity in the Digital Educational Environment

In the introduction of this work, the risks and problematic issues related to digital education are considered, and the impact on students and the perception of information during distance learning classes are reviewed.The study aimed to identify the level of social responsibility of subjects of educational activities.Its digital format determines an additional factor influencing the success of the training.Research methods: expert interviews, content analysis, analysis of results of operations.In the space of digital education, the trend of changing roles is highlighted, and qualitative changes in the field of education are reflected in connection with the transition to more active use of distance learning in Russian universities.Features of training of students of generation "Z" are defined.The role of social responsibility in educational activities is revealed, and its levels are determined.The results of the empirical study allowed us to develop normative models of interaction between subjects of educational activity in the digital educational environment: compulsory, resource, counter and background.The specific features of each model are indicated.In conclusion, brief conclusions are made about the most favourable normative model of interaction between subjects of educational activity.
Implementasi Algoritma Caesar Cipher Dan Steganografi Least Significant Bit Untuk File Dokumen

Abstract —&#x0D; Security and confidentiality of a file are important aspects because the owner of the file does not want the data to be known by irresponsible parties. To keep the file secret and secure there are techniques called cryptographic algorithms and steganographic algorithms. Cryptographic algorithms are a way to change the contents of the file to be incomprehensible, while steganographic algorithms are a way of inserting files that you want to keep secret with other file types such as images, sounds, or videos. One type of cryptography is Caesar Cipher and steganography is Least Significant Bit (LSB). Caesar Cipher is a way of securing and keeping the contents of a file secret by shifting letters, while the Least Significant Bit (LSB) is a method of insertion by replacing the rightmost or backmost bits. This research uses waterfall software development with the stages consist of needs analysis, system design, implementation, and testing. The program code is written in Java language and uses the Netbeans 8.2 application. The result of the research is that with 10 research materials, 5 document files (* .doc) and 5 image files (* .png), only 2 files of each research material can be processed by this software. The tests carried out included testing the functions and steganographic criteria such as Fidelity, Recoverable, and Robustness.&#x0D; &#x0D; Keywords — Algorithm, Caesar Cipher; Least Significant Bit (LSB); Netbeans;&#x0D;
Identifying and Resolving Annotation Changes for Natural Language Understanding

Annotation conflict resolution is crucial towards building machine learning models with acceptable performance.Past work on annotation conflict resolution had assumed that data is collected at once, with a fixed set of annotators and fixed annotation guidelines.Moreover, previous work dealt with atomic labeling tasks.In this paper, we address annotation conflict resolution for Natural Language Understanding (NLU), a structured prediction task, in a real-world setting of commercial voice-controlled personal assistants, where (1) regular data collections are needed to support new and existing functionalities, (2) annotation guidelines evolve over time, and (3) the pool of annotators changes across data collections.We devise an approach combining information-theoretic measures and a supervised neural model to resolve conflicts in data annotation.We evaluate our approach both intrinsically and extrinsically on a real-world dataset with 3.5M utterances of a commercial dialog system in German.Our approach leads to dramatic improvements over a majority baseline especially in contentious cases.On the NLU task, our approach achieves 2.75% error reduction over a no-resolution baseline.
PECULIARITIES OF HISTORICAL AND PEDAGOGICAL ASPECTS OF INSTITUTIONAL TRANSFORMATIONS IN US HIGHER EDUCATION

The history of the tutorial system implementation into American Universities, the influence of the British tutorship on the development of the American higher education have been scrutinized in the article.The article considers the history of the introduction of the tutorial system in American universities, analyzes the impact of the British tutorial system on the development of US higher education.The teaching method of higher education, when students are taught individually or in very small groups of two or three people, has developed and transformed into the establishment of a tutorial system at the Universities of Oxford and Cambridge.This model of teaching has existed in Oxford since the 11th century, and the role of tutors was documented in the 15th century, when the tutors at Oxford University were described as responsible for the behavior and training of their younger colleagues.Thus, it should be noted that the tutorial system is a model of interaction between a tutor and students and it has a long history.It is important to emphasize the fact that unlike the standard ideas of a teacher who could use different kinds of influence on a student to improve his achievements, namely: physical or moral punishment, you must remember that the Oxford tutor will always be on the student's side, he or she will tend to see how the tutor will do his or her best to push the student to search in the right direction, or to suggest what to do in order to achieve the best learning outcomes.The role of the tutor is the role of a fellow teacher, who should provide individual advice during regular weekly meetings and a very important point in the tutoring system is the fact that the tutor and students had the opportunity to meet and communicate in a less formal environment, which allowed students to be more involved in studying process and helped to create friendly relations between them.In recent years, the structure and content of higher education in our country have undergone significant changes as a result of the integration of the national education system into the European educational space.It is necessary to reform the education system in all its parts.First of all, this applies to higher education, which must provide society with highly qualified specialists in various fields.Of real scientific and practical interest is the study of the experience and work of tutors in Great Britain and the United States in order to creatively use it in higher education in Ukraine.
A Critical Analysis of the Efficacy of the GDPR as a Framework for the Protection of Genetic Privacy in Biobanking

This chapter presents a critical analysis of the efficacy of the General Data Protection Regulation (GDPR) as a framework for the protection of genetic privacy in biobanking. In this regard, it outlines twenty-three problems concerning the standard of protection offered by the GDPR, assessing the degree to which each problem casts doubt on the efficacy of the GDPR. The chapter considers whether there are factors evident which are likely to mitigate the severity of the impact of each problem, as well as whether each problem is subject to resolution<italic>—</italic>—either through the GDPR's internal interpretation and adaptation mechanisms or through external legislation operating in tandem with the GDPR. The analysis demonstrates that the great majority of problems are not as severe as they initially seem and, as a result, do not call into question the efficacy of the GDPR as a framework for the protection of genetic privacy in biobanking. It also shows that all problems which either require a solution, or would benefit from a solution, can be resolved via the GDPR's internal mechanisms or via external law operating in parallel with the GDPR, or both.
EFFICIENCY OF INNOVATIVE TECHNOLOGIES APPLICATION IN THE PROCESS OF TEACHING FOREIGN LANGUAGES AT NON-LANGUAGE SPECIALTIES IN HIGHER EDUCATIONAL INSTITUTIONS

Innovative processes in the field of education and innovation as a scientific discipline are designed to reveal the essence of scientific design and masterful implementation of innovative technologies, to identify regular links between traditions and innovations, to substantiate management models of systemic innovations in educational institutions.The article analyzes the effectiveness of innovative technologies in the process of teaching foreign languages at non-language specialties in higher educational institutions. The concepts of “innovation”, “educational innovations”, “innovative learning” in the context of foreign language training of students of non-language specialties of higher education institutions are characterized. It was found out that innovative technologies in the process of teaching foreign languages in higher education institutions are considered by scientists on the basis of the principles of competence, activity and communicative approaches, in developing effective teaching models based on systematic research, application of modern teaching methods, involvement of students in project activities, problem methods using, application of information and telecommunication technologies. The author emphasized that the most effective among educational innovations that promote the study of foreign languages in non-language higher education institutions are interactive and information and communication technologies that give the educational process a dialogical nature, which can significantly improve and facilitate foreign language learning. The study confirms the effectiveness and efficiency of innovative technologies in the teaching of foreign languages in non-language HEIs, which provide unlimited opportunities for independent work of students, are the means by which teachers can develop individual characteristics of students, their intellectual, communicative and creative abilities, increase motivation to learn a foreign language, create a comfortable learning environment.&#x0D; Keywords: innovations, innovative technologies, foreign languages, students, institutions of higher education, competence approach.
Design Tasks As A Method Of Training Specialists - Future Informatic Teachers

The article discusses issues related to the methods of implementation and use of project tasks in the educational process in the training of specialists - future teachers of computer science based on information and communication technologies.
Design and Analysis Of Underwater Imaging Application susing High Frequency Array

Underwater picture preparing has a few applications in the field of maritime exploration work and logical applications, for example, archaeology, geography, underwater ecological appraisal, laying of significant distance gas pipelines and correspondence joins across the mainlands which request geo-referential looking over of the maritime bed and prospection of complex task. The lowering of a camera underwater requires satisfactory lodging utilizing high frequency. The moving of the camera with the assistance from distant spot or face to face at the site is similarly a perplexing undertaking. In any case, the significant test is forced by underwater medium properties. Underwater dimness picture upgrade has acquired far and wide significance with the quick advancement of present day imaging gear. Notwithstanding, the difference upgrade of single underwater dim picture is a difficult errand for logical investigation and computational applications. Versatile differentiation upgrade calculations to determine the picture fluffiness was proposed to suit underwater pictures with shifting difference. Fuzzy edge held intensification strategy had the option to furnish better upgrade with very much protected edge data and improved differentiation in examination with the fuzzy enhancement technique. Acoustic imaging systems are likewise valuable for reviewing or inspecting objects when water turbidity blocks the utilization of closed circuit television or other optical methods for survey. Likewise, light is weakened with a horizontal distance of proliferation, decreasing the light energy arriving at the camera, accordingly bringing about a deficiency of the normal tone.
TFD: TELECOM FRAUD DETECTION USING CONSOLIDATED WEIGHTED REPUTATION ALGORITHM

Noisy phone calls are aggravating and distracting, as well as frustrating. They may be classed as 'nuisance', 'emergency', 'random', and 'unsolicited' calls. Users have no inherent privileges on the internet; rather, their personalities are produced without any arrangement or evidence of involvement. It costs the U.S. communications company $8 billion per year to avoid call spam on the phone grid. Between January 2014 and June 2018, the FTC (Federal Trade Commission) received over 22 million reports of fraudulent and illegal telemarketing calls. Nowadays, the mobile network is used to issue automatic phone calls such as robocalls. Since it operates on text, we struggle with the following: What tactics and methods do we use to combat spam? Telephone TFD (Telecom Fraud Detection) here is discussed first. Concerning spam, we advanced our proposal by proposing a targeted traffic detection using a single weighted credibility algorithm with appropriate weighting criteria.
Study of timbral variation of tenor steelpan mallets through spectral analysis

The steelpan is an instrument with unique acoustic properties that allow for a wide range of timbral possibilities influenced by the choice of actuator. It is increasingly common for composers and performers to experiment with mallets made from a variety of materials that produce highly differentiated timbres. Examples of mallet types include wood and aluminum shafts covered with rubber tips, chopsticks, dowel rods, and cardboard tubes. Understanding how mallets interact with the steelpan is an important aspect of performance practice. Aside from standard rubber tipped mallets, most other mallets types are homemade and these characterizations will inform mallet design and construction in order to achieve the desired timbral result. While there have been studies analyzing the modes of vibrations of steelpan notes, the interactions between mallets and timbre hasn’t yet been studied and characterized. The goal of this work is to measure and characterize the timbral influence of a wide variety of mallets on a tenor steelpan through low level audio analysis with a focus on spectral features. Audio recordings were made with five different mallets on a tenor steelpan.
THE GROUPING OF VILLAGES ON KB SUPPORTING INDICATORS AS A BASIC MAPPING FOR FORMATION KAMPUNG KB IN SURABAYA

Population problems in Indonesia is still important and complex issues that must be resolved. Indonesia has the fourth largest population after China, India and the United States. Uncontrolled population growth will cause problems, such as lack of employment opportunity, unemployment and increased crime. To solve these problems, the government through BKKBN (The National Population and Family Planning) increase the promotion of Family Planning (KB) with the slogan "two children are enough". To support the success of KB program, the government is introducing Kampung KB program. Based on description, this research will be investigated how the grouping of villages based on KB supporting indicators as basic mapping for formation Kampung KB in Surabaya, because Surabaya is the second largest city in Indonesia after Jakarta. The variables used in this research are contraceptive prevalence rate/ CPR, the survival rate of contraceptive use, mix contraceptive, unmet need, the number of pra prosperous and prosperous I familyies, the number of toddler, the number of elderly, long-term contraceptionon method, the number of male participation KB, the number of women of childbearing age, the number of patriarch by employment status, the number of patriarch by education level, the number of population, and the number of teenagers marriages under 20 years old. The results show that using cluster hierarchy analysis and cluster non hierarchy analysis, the optimum grouping is 4 groups.&#x0D; Keywords: Population, KB program, Kampung KB.
Characterizations of Nnce-open and Nnce-closed Functions

The purpose of this paper is to introduce and investigate several new classes of functions called, Nnce-open and Nnce-closed functions in Nnc topological spaces by using the concept of Nnce-open sets. Several new characterizations and fundamental properties concerning of these new types of functions are obtained. Furthermore, these kinds of functions have strong application in the area of image processing and have very important applications in quantum particle physics, high energy physics and superstring theory
CONTEXT STORAGE USING CLOUD-BASED MONGODB WITH RULE-BASED RETE ALGORITHM

In this Context-aware computing era, everything is being automated and because of this, smart system’s count been incrementing day by day. The smart system is all about context awareness, which is a synergy with the objects in the system. The result of the interaction between the users and the sensors is nothing but the repository of the vast amount of context data. Now the challenging task is to represent, store, and retrieve context data. So, in this research work, we have provided solutions to context storage. Since the data generated from the sensor network is dynamic, we have represented data using Context dimension tree, stored the data in cloud-based ‘MongoDB’, which is a NoSQL. It provides dynamic schema and reasoning data using If-Then rules with RETE algorithm. The Novel research work is the integration of NoSQL cloud-based MongoDB, rule-based RETE algorithm and CLIPS tool architecture. This integration helps us to represent, store, retrieve and derive inferences from the context data efficiently..&#x0D;
PROVIDING OF SENIOR AND JUNIOR PUPILS’ NATURE HOLISTIC PERCEPTION FORMATION

The article deals with the specifics of forming a nature holistic perception, taking into account the continuity between senior preschoolers and younger students. The purpose of the article is a theoretical analysis of ensuring continuity between senior preschoolers and younger students in the process of forming a nature holistic perception. The concept of “continuity”, “holistic perception of nature” has been clarified. Theoretical and methodological bases of formation of nature holistic perception have been considered, taking into account the continuity between the preschoolers and the younger students. The views of domestic and foreign scientists on the key determinants of the study have been analyzed. The existing normative documents of two units of education are analyzed: preschool and elementary with respect to continuity at their junctions. The basic determinants of the formation of nature holistic perception have been determined. The basic forms of work with children of senior preschool and junior school age on forming of holistic perception of nature have been revealed. The common and distinctive features in the construction of the educational process regarding the holistic perception of nature by senior preschoolers and young students have been characterized. It is emphasized that the effectiveness of continuity in forming a nature holistic perception is due to taking into account the psychological characteristics of both age groups of children, the conformity of programs and taking into account the construction of the educational process to preserve the leading directions of children's development, which will facilitate the gradual transition from play to learning as a new activity.