Reviewerly/exHarmony huggingface dataset:
Tensor Decision Trees for Continual Learning from Drifting Data Streams

Data stream classification is one of the most vital areas of contemporary machine learning, as many real-life problems generate data continuously and in large volumes. However, most of research in this area focuses on vector-based representations, which are unsuitable for capturing properties of more complex multi-dimensional structures, such as images and video sequences. In this paper, we propose a novel methodology for learning adaptive decision trees from data streams of tensors. We introduce Chordal Kernel Decision Tree for continual learning from tensor data streams. In order to maintain the tensor characteristics, we propose to train and update classifiers in the kernel space designed to work with tensor representation. We use chordal distance to compute similarities between tensors and then apply it as a new feature space in which decision trees are trained. This allows for a direct decision tree induction on tensors. In order to accommodate the streaming and drifting nature of data, we propose a concept drift detection scheme based on tensor representation. It allows us to reconstruct the kernel feature space every time when change is detected. The proposed approach allows for fast and efficient induction of decision trees on streaming data with tensor representation. Experimental study, conducted on 4 real-world and 52 artificial large-scale tensor data streams, shows that using the native tensor feature space leads to more accurate classification than outperforms the vectorized representations.
A Survey on Various Encryption/ Decryption Techniques Used in Mobile and Cloud Computing

Cloud computing and mobile computing trend are growing swiftly that has a technology connection to Grid computing, software computing, and Distributed computing. Security is the maximum important section of each the above computing technology. In mobile computing security issues is discuss on the short messaging services (SMS), it is a process of sending information be-tween two users. In cloud computing, various service carriers which include Amazon IBM, Google’s Application, and Microsoft Azure provides application in a cloud environment. Security is also important for remote services to securely access applications and data. The primary issue is, how much protection the channel offers while transmitting facts. This paper focuses especially on the distinctive kinds of encryption techniques that are present, and comparative have a look at all the techniques together as a literature survey. Also the comparison between the techniques which are currently used in the existing SMS services and cloud computing.
A Distributed Minimum Redundancy Maximum Relevance Feature Selection Approac

Feature selection (FS) is served in almost all data mining applications along with some benefits such as reducing the computation and storage cost. Most of the current feature selection algorithms just work in a centralized manner. However, this process does not apply to high dimensional datasets, effectively. In this paper, we propose a distributed version of Minimum Redundancy Maximum Relevance (mRMR) algorithm. The proposed algorithm acts in six steps to solve the problem. It distributes datasets horizontally into subsets, selects and eliminates redundant features, and finally merges the subsets into a single set. We evaluate the performance of the proposed method using different datasets. The results prove that the suggested method can improve classification accuracy and reduce the runtime
The Reflective Skill – Constructive-Prognostic Analysis in Methodological Context

In historical aspect, the skill is among the key categories in the realm of human practice, which are often an object of different researches – psychological, pedagogical, and last but not least methodological. This is a fact, because the skill is a vital term for the description of productivity of learning experience at least in two dimensions – personally fundamental, guaranteeing its effective functioning in different situations and personally pragmatic, as a multi-level transformation of the cognitive experience, for the completion of certain social roles and the necessary qualities of the subject for this. The skill is a blend between those two dimensions of productivity both in higher education and in secondary school. The reflective skills are a structural and functional part of the transformation of the cognitive, affective, and psycho-motor experience and as such are included in the individual educational reality of the subject, and to a higher degree it defines it. This is the reason why the constructive-prognostic analysis of the reflective skill in the area of Methodology is pointing at the answer of the questions: What is this, what is its structure, how does it get integrated in the system of skills, how does it form and develop. The answers of those questions are basis of its methodological decoding in the process of training teachers and students in Biology. All of this describes the territory of the methodological context of analysing the reflective skill.
PEMANFAATAN ELEKTRONIK AUDIT (E-AUDIT) DALAM MENINGKATKAN KINERJA PEMERIKSA PADA AUDITORAT UTAMA KEUANGAN NEGARA VI BADAN PEMERIKSA KEUANGAN RI

AbstractThis study aims to find out how the Role of the Utilization of the E-Audit in Improving the Performance of Auditors at the Main Auditorate of State Finance VI of the Supreme Audit Agency (BPK), analyze the causes of the use of the E-Audit not being maximized in improving the performance of examiners and the ideal E-Audit model. such as what can improve the performance of BPK examiners, this research uses qualitative designs are methods to explore and understand the meaning that comes from various problems, this qualitative process involves important efforts such as asking questions and procedures, collecting data that specifics of the participants and analyze the data. The purpose of this study is to obtain data and information that will be used for the preparation of the thesis, namely to analyze the Role of E-Audit Utilization in Improving Examiner Performance at the Main Auditorate of State Finance VI BPKThe results showed that the cause of the use of the E-Audit not being maximized in improving examiner performance was influenced by several causes, as stated by Dale L. Goodhue & Ronald L. Thompson 1995, a technology information system model using 4 components, namely data quality, data locatability, ease of use. the operation and reliability of the system on the E-Audit has not fully supported users in carrying out audit tasks, for that it is necessary to develop an ideal model of the E-Audit that can improve examiner performance using the George M. Markas and James A.O'Brien (2008) model which using 5 components which are unity that influence each other, among others are Human Resources (HR), hardware resources (hardware), software resources (software), data resources and network resourcesThus the recommended suggestions so that E-Audit can improve the performance of examiners are the development of professional human resources, the procurement of good hardware that can support computerization, the provision of good software and software that has high reliability, completeness of the audit database by expanding cooperation for data fulfillment and provision of adequate network resources, such as twisted-pair cable technology, coaxial cable, optical fiber, microwave, cellular and satellite wireless, as well as providing adequate network infrastructure so that the operation of the E-Audit can be utilized optimally
Multimedia Big Data

The exponential development of arising applications and the development of distributed computing advances have fundamentally upgraded the capacity to create huge measures of information. The huge measure of mixed media information (likewise named as Multimedia Big Data). In this Multimedia period, it has become an extraordinary challenge to oversee such voluminous measure of information. Almost every industry and many enterprises use Big Data techniques and technologies and are also trying to handle Big Data efficiently. The unique attributes of Big Data such as traceability and non-tampering make it have great application potential in personnel information management. However, the advancement in Big Data automation and capacity have made it challenging to maintain privacy and handle security issues. The main objective of this comprehensive survey is to search feasible technologies of handling Big Data by accentuating on pre-preparing storage and security. Besides, the basic parts of these methods are broken down by concocting a scientific categorization to distinguish the issues and recommendations made to alleviate these issues. Moreover, enormous information on the executive’s procedures is additionally summed up. At last, a few future examination bearings are introduced.
Systematic Literature Review on Quantum Cryptography

In the field of cryptography, new tasks are generated when advancement has taken place from conventional computing to quantum computing. In the case of computer security, cryptography had always been a valuable and essential tool. When quantum mechanics principles are applied to cryptography, it gives rise to a new system that will secure communication and also assures that no spying can take place. The work below presents the review on quantum cryptography, which includes the concept of quantum cryptography and what can be its evaluation measures. Articles of quantum cryptography from various databases have been studied. In this SLR various research questions are identified and on the basis of the results of their answers have been formulated for this review along with that various performance measures are also discussed.
Chandler: An Explainable Sarcastic Response Generator

We introduce Chandler, a system that generates sarcastic responses to a given utterance. Previous sarcasm generators assume the intended meaning that sarcasm conceals is the opposite of the literal meaning. We argue that this traditional theory of sarcasm provides a grounding that is neither necessary, nor sufficient, for sarcasm to occur. Instead, we ground our generation process on a formal theory that specifies conditions that unambiguously differentiate sarcasm from non-sarcasm. Furthermore, Chandler not only generates sarcastic responses, but also explanations for why each response is sarcastic. This provides accountability, crucial for avoiding miscommunication between humans and conversational agents, particularly considering that sarcastic communication can be offensive. In human evaluation, Chandler achieves comparable or higher sarcasm scores, compared to state-of-the-art generators, while generating more diverse responses, that are more specific and more coherent to the input.
Sequential Blended Teaching Materials: Scaffolding Non-English Language Learnersâ€™ Scientific Literacy Using Online Sources, Edpuzzle

This study aimed to explore information from 44 Students of Primary Teacher Training Education Department as the sample of research. The 40 items of statement in questionnaires designed from positive point of view and scaled in Likert from; strongly agree (5) to strongly disagree (1). By the content area of two basic research questions in regard to Preferences and benefit for students in applying a sequential blended learning material in teaching English. Data was analyzed in statistic descriptive to get meaning. The result found that, there was 4,22% of students respond to items of questionnaires to more agree and strongly agree to the statements of questionnaires. This total average number of the respond of 44 students were found in 4,6816 % in questionnaires that represented preferences (13 items of statements) and 3,7727% in average found in statement of questionnaires that represent benefits (27 items of statements), meant there was positive respond toward this teaching approach and fixing to the preferences of student and scaffolded studentsâ€™ other related scientific literacy.
A Study on Student Choice in Connected Campus With Regards to Manipal University

Higher education institutions have been inundated with various infrastructures and platforms that have been siloed by strategy that frequently does not extend beyond the respective unit and stakeholders they serve. As campuses address their students' needs, they may implement a smart campus strategy that promotes efficient practices. Colleges and universities should shift their focus away from transactional process redesign  towards leading practices and respective outcomes that will differentiate them from their peers as part of developing a smart campus strategy.
STEAM or not STEAM: Delving into Teacher’s Planning in Early Child Bilingual Education

This study aims at analyzing the extent to which the weekly planning by playgroup teacher in a bilingual early childhood education reflects on STEAM. This was qualitative research that involved a female playgroup teacher who teaches in a bilingual early childhood education in Denpasar, Bali. Meanwhile, the object of this research was 39 weekly plans with 15 themes in the academic year of 2020/2021. There were two methods of data collection used in this study, such methods as document analysis and interview. The instruments used were analysis form checklist and interview guide The weekly plans were analyzed by the document analysis method to determine the extent to which STEAM was reflected in the weekly plan. Meanwhile, a one-on-one interview was conducted to obtain data on teacher knowledge about STEAM. The results of this study found that all of the weekly plans reflected on STEAM. Even though each aspect STEAM was not evenly distributed since the goal of the school focuses on pre-literacy and pre-numeracy. Therefore, Science and Math were mostly appeared in the teacher’s planning. Furthermore, it was obtained from the interview that the teacher had a good comprehension about STEAM and its implementation. This study gives an insight to the other playgroup teachers about how to integrate STEAM in their planning. However, this research was conducted on a small scale and without classroom observations. Further research is expected to be carried out on a large scale and by observing the class.
APPG Definition of Islamophobia: A Boon to Free Speech

Critics claim that the APPG British Muslims definition of Islamophobia could threaten freedom of expression rights. However, the definition is narrower than those found in the political discourse over the past two decades. This is likely to reduce the 'chill' on legitimate expression and thus expand the space for free speech.
A Comparative analysis of Algorithms for Pedestrian Tracking using Drone Vision

In recent years, there has been an upsurge in the use of drones for various applications such as intelligent transportation, smart agriculture, military, product delivery, etc. With the advancement of high computational edge devices which can support Machine Learning and Deep Learning algorithms, various functions such as object detection and object tracking can be performed in real-time. Though there are many tracking algorithms available for object tracking, there is always a tradeoff between accuracy and their run-time. Executing computationally expensive algorithms is largely bottle-necked by hardware constraints. This paper has compared different object tracking algorithms (both conventional and Deep learning-based) based on tracking accuracy, speed of tracking, and computational complexity of each algorithm. The comparison is based on the accuracy of detection and tracking of an object at the beginning, end, or time of any occlusion scenario in the drone's video.
Christian values as theoretical basis of Ivan Bartoshevsky’s pedagogical views

The article describes the formation and development of pedagogy and the position of Greek Catholic Church in the 19th century. The author of the article analizes features of religious education in the system of pedagogical views of Ivan Bartoshevsky and determines main elements of I. Bartoshevsky’s theory. I. Bartoshevsky in his works supported main principles of Christian pedagogy, described the possibilities of their realization and tasks concerning the educational process of a child. Moral and ethical system of Christian upbringing forms a theoretical basis of the university textbook by I. Bartoshevsky “Russian Pedagogy or the Science of Educationˮ (1891). The significance of Professor Ivan Bartoshevsky’s textbook “Russian Pedagogy or the Science of Educationˮ (1891) for the formation and development of university pedagogy was crucial. The article describes the influence of the principles of Christian morality on the process of education and clarifies educational functions of social institutes, in particular the educational duties of parents, family, church, state, and school. It is determined that goals and objectives of Christian education are of great importance in the formation of a person’s character and worldview and the stages of the process of education in accordance with the age periodization of personality development are characterized. The researcher defines the place and role of each childʼs educator in the formation of his/her authorities and substantiates main features of the ideal upbringing of a child. It is clarified the role of the surroundings, environment, school for personality education as well as the importance of a teacher in the process of child’s development and growth. Psychological and personal characteristics of students according to their age periodization are characterized. Keywords: Christian pedagogy, textbook, the process of education, social institutions of education, family education, school education, religious education, authority, teacher, church, pedagogical objects, pedagogical functions, effectiveness of education.
Adding Features to a Legacy App

If you recall in Chapter 1, we talked about the various situations where we can use TDD. TDD can basically be applied at any stage in a project’s lifetime. The most obvious option is start using TDD from the very beginning. This is what we always recommend. However, what if you only just recently heard about TDD and you already have a project you’re working on? Well, TDD is still for you. TDD can help guide the refactor of old legacy code, and also we can use TDD to properly modularize and decouple our code base. We’ve already put this to action extensively in previous chapters.
Creating Trace Tables

Part of programming is thinking like a computer. We already have covered how flowcharts are a big part of programming and planning out what your program will do step by step before you write a line of code.
RODA PUTAR UNTUK MENINGKATKAN HASIL BELAJAR SISWA PADA PELAJARAN MATEMATIKA DI SD

Learning media is a teaching aid or the like, this was stated by Erman Suherman who classified media into two parts, namely media as a carrier of information (science), and media which was also a tool for embedding concepts such as educational props. mathematics. This rotary wheel is one of the teaching aids which was developed to help the learning process of children, especially in elementary schools. The rotary wheel is used to make it easier for children to memorize formulas, shapes and other shapes.
A Method of Text Sample Size Adaptation Based on Ontological and Cognitive Analysis

In this paper the issue of the latency of the cognitive assistant system, which functions on the basis of the stylometry, is considered. The conducted research allows concluding that the system latency can be decreased by means of the text sample size adaptation. The first approach to this is to correlate the text samples with the data source types and the methods of the text feature vector forming. Besides, the users’ feedbacks on the cognitive assistant functioning quality can be involved into the text sample size determination. In this paper, the new method of text sample size adaptation is proposed and discussed. It includes two approaches: the first one is the ontologycal analysis based on the data source type attribute, and the second one is the cognitive analysis of the users’ feedbacks. The mixture of these approaches allows to decrease the text sample size and so to decrease the time needed for the text feature vector forming.
거절 화행에 나타난 한국어 학습자의 불손 표현 연구

The present study aims to overview the concept and types of impolite expressions in Korean language. It also aims to explore patterns and characterize the impolite expressions within refusal speech acts from Korean learners. This results show that, first, out of the total of 322 refusal speech acts, there were 245(76.1%) impolite expressions, among which 155(48.1%) were attributed to negative impoliteness. Situation 4 was most commonly accompanied by impolite expressions (98.2%). Second, learners at a higher level of Korean proficiency were less likely to have impolite expressions. Impolite expressions were more likely to occur in a conversation with an unfamiliar person or with one at a higher position (n=88, 81.5%). Bald on record impoliteness occurred more often in a conversation with a person at a lower position. Bald on record impoliteness was not accompanied by any strategy to prevent from disgracing the other party, but explicitly delivered a meaning of advice or interference to the other party. In addition, positive impoliteness in the refusal act was characterized by errors in honorific expressions, absence of apology, negative assessment about the other party’s behavior, and absence or insufficient explanation about the refusal. Negative impoliteness in the refusal speech act was characterized by providing alternatives in an instructive manner, direct expression of refusal, and absent hedges. (Pusan National University)
Adaptive Cuckoo Search Algorithm Based on Dynamic Adjustment Mechanism

Cuckoo Search (CS) algorithm, a simple and effective global optimization algorithm, has been widely used to deal with practical optimization problems. So as to improvethe standard cuckoo search algorithm, such as slow convergence and easy convergence to local optimal value, an Adaptive Cuckoo Search algorithm on the basis of Dynamic Adjustment Mechanism (ACSDAM) has been proposed. Based on exponential function and logarithmic function, the dynamic adjustment is made for updating step size and discovering probability. During the optimization process, updating step size and discovering probability of each nest are adjusted according to the number of iterations of each nest, so as to equilibrate the global detection and local capacity of the algorithm. Then 23 standard test functions will be selected for a simulation experiment, and compared with other CS variant algorithms, ACS-DAM effectively improved the rate of convergence and the algorithmic precision. ACS-DAM algorithm was employed to optimize the Support Vector Machine (SVM). The experiment proves that the convergence rate with ACSDAM is better than that with CS obviously and ACS-DAM has stronger optimization ability and higher efficiency than CS.