Reviewerly/exHarmony huggingface dataset:
DESIGN OF EXPERT SYSTEM FOR IDENTIFY ANXIETY DISORDER USING FORWARD CHAINING

Anxiety is an excessive anxiety disorder in psychology. People are basically not aware that they may have symptoms of this anxiety disorder in each of them. And if not treated as soon as possible can interfere with a person's psychological condition. It may seem trivial but this disorder can reduce performance so that it has an impact on a person's life. To overcome this problem, we need an expert system that can identify anxiety disorders. This system is designed using UML (Unified Modeling Language) diagram modeling. The purpose of this UML modeling is to describe the user's needs for the system and what things can be done by the system, so that with this UML modeling the entire system picture can be seen. The UML modeling for the expert system for early identification of anxiety disorders is expected to be a tool that can assist the process of making the system, where people can check whether they suffer from anxiety disorders or not to consult a psychologist.&#x0D;
Augmenting Students’ Speaking Skill Through Vlog as an Innovation in Learning

In this era of globalization, technology media has become an important role that can be used in the world of education. Especially vlog can be used as content to explore creative potential for everyone to augment speaking skills. Vlog defines as the documentation using video component as a medium media to record that they want to talk about it. The purpose of this research article of the innovation in learning through vlog is to augment students’ confidence speaking skill in their classroom. The data of this research used case study in the form of descriptive analysis using qualitative research methods. Data collection techniques were collected by observation of eight grader graduate in SMP Darul Ulum Depok. The results of this research revealed that after the students conducted the vlog, the students successfully in the criteria points for improving speaking skill and they more enjoy in speaking performance. Besides, the use innovation through vlog can enhanced students’ fluency, pronunciation, vocabulary, and good performance.
Ideal Education System & Its Realization Opportunity

In this chapter, the concept and characteristics of the ideal education system and its realization opportunity through online open education model using mobile devices are proposed and analysed. The chapter also consists of discussion on the impact of On-line education on higher education system and how Smart Library Model can be used as Universal Library for future generation education systems.
The future of vocational higher education: the blended learning approach

The COVID-19 pandemic has compelled higher education institutions to implement online learning provisions, however, within vocational education, the primary use of online learning may not satisfactorily allow students to achieve competency in practical skills. The blended learning approach offers an incredible solution to this and produces new opportunities to not just build but innovate towards the future.
TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation

Unsupervised domain adaptation (UDA) aims to transfer the knowledge learnt from a labeled source domain to an unlabeled target domain. Previous work is mainly built upon convolutional neural networks (CNNs) to learn domain-invariant representations. With the recent exponential increase in applying Vision Transformer (ViT) to vision tasks, the capability of ViT in adapting cross-domain knowledge, however, remains unexplored in the literature. To fill this gap, this paper first comprehensively investigates the transferability of ViT on a variety of domain adaptation tasks. Surprisingly, ViT demonstrates superior transferability over its CNNs-based counterparts with a large margin, while the performance can be further improved by incorporating adversarial adaptation. Notwithstanding, directly using CNNs-based adaptation strategies fails to take the advantage of ViT's intrinsic merits (e.g., attention mechanism and sequential image representation) which play an important role in knowledge transfer. To remedy this, we propose an unified framework, namely Transferable Vision Transformer (TVT), to fully exploit the transferability of ViT for domain adaptation. Specifically, we delicately devise a novel and effective unit, which we term Transferability Adaption Module (TAM). By injecting learned transferabilities into attention blocks, TAM compels ViT focus on both transferable and discriminative features. Besides, we leverage discriminative clustering to enhance feature diversity and separation which are undermined during adversarial domain alignment. To verify its versatility, we perform extensive studies of TVT on four benchmarks and the experimental results demonstrate that TVT attains significant improvements compared to existing state-of-the-art UDA methods.
HYBRID MULTI AGENT SYSTEM FOR EVALUATING QUALITY OF SERVICE IN ONLINE SHOPPING APPLICATIONS

Metrics are essential building blocks for any evaluation process. They set specific goals for improvement. The multi-agent system (MAS) is complex in nature, due to the increasing complexity of developing a multi-agent system, the existing metrics are less than adequate to evaluate the quality of the MAS. This is due to the fact that the agent reacts unexpectedly. The metrics that exist to measure MAS quality fail to address potential communication, initiative behaviour, and learning ability. In this paper the proposed additional metrics to measure the software agent. Shopping Software agent for online shopping system is developed and matrix values ​​are derived from it and quality of multi agent system is analysed.
Research on Computer-Aided English Language Evaluation System

Abstract With the rapid development of science and technology, computer-aided language teaching and testing has become an inevitable trend in the development of English language teaching and research. With the continuous popularization of online courses, all kinds of examinations have adopted computer-aided examinations, and CET-4 has also begun to implement computer tests. Computer aided teaching refers to the use of computers as a tutor, presenting information, providing students with opportunities for practice, evaluating students’ grades and providing additional teaching. With the development of multimedia technology and communication network technology, all individualized teaching technologies with computer as the core are called the application of information technology in education. It is dedicated to the establishment of a three-dimensional foreign language learning environment supported by modern educational technology, and aims to improve the quality of foreign language teaching in a more scientific and effective way. According to statistics, there are still few computer-based college English language testing systems. The existing systems are mainly designed and developed around the CET-4 examination, and the functions are monotonous, only serving the examination. It can not help and promote students’ learning. Testing and evaluation is a unity with different functions in teaching. Only test without evaluation, examination can not play a positive role in teaching. The test only determines the learning level of language learners, and the test results themselves can not fully reflect the specific problems, because if there is no information to explain the results, the examination can not be given for analysis and feedback. It is difficult to guide teachers’ teaching and students’ learning. In view of the above disadvantages, this study intends to establish a computer-aided English language evaluation system from the perspective of the combination of language testing and evaluation. The system has many similarities with the existing CET-4 examination system, and has more complete functions, can meet the needs of the development trend of foreign language teaching, and has great attraction to students and teachers. It can not only provide students with simulated examinations, but also help students analyze test results and check problems. The computer-aided language assessment system is fast, efficient, timely and objective.
Effectiveness of an instructional design in the academic performance of students of an online course

The purpose of this research was to elaborate an online instructional design, and to identify the effectiveness of the academic performance on a course of the educational program bachelor’s in administration of a University of northern Mexico. The course was taught in “SAETI, Sistema de apoyo a la educación con tecnologías de internet” (Support System to education with Information Technologies). The instructional design of the course was tested on this platform with students of fourth and fifth semester. This research was done under a quasi-experimental focus with a quantitative approach. Once the online instructional design was developed, an evaluation instrument was applied to measure the effectiveness of the use and application of an online instructional design. The student sample to be selected was made with two natural class groups, one control and one experimental group. In addition, three research questions were answered, the first question refers to the differences in the academic performance of students in an online course, when an instructional design is used. According to the results it is verified that there are significant differences in the experimental group, where an online instructional design was used, and it is demonstrated with the result of the t-student test. For the second research question, the advantages for the student are presented, the effectiveness of the application of an instructional design in the activities of an online course and the third research question investigated what the advantages for the teacher in the use of an instructional design in an online course are; the findings of this research showed that the instructional design used in the two units of competence was effective.&#x0D; Keywords: instructional design, academic performance, instructional design models, learning theories&#x0D; Code JEL: I20, I21, I23&#x0D; Received: 24/06/2019. Accepted: 12/02/2020. Published: 27/04/2020
Pioneering the tide and enabling the future

With deep learning as the representative of machine learning algorithms, gradually achieved great success in the fields of machine vision and speech recognition. In addition, cloud computing and big data provide abundant and continuous big data resources, and artificial intelligence has entered an unprecedented period of rapid development. And is profoundly changing all sectors of society, the corresponding national requirements to carry out intelligent education in order to inspire artificial intelligence teaching application ideas, so as to promote the intelligent development of education and teaching. Artificial intelligence is gradually integrated into the field of education, providing new possibilities to meet the needs of teachers and students for high-quality learning resources, intelligent learning environment and personalized teaching. Under the background of the rapid development of artificial intelligence, a new round of technological change education will be led by intelligent education, inject new ideas into education and teaching, provide new methods and tools, drive the fundamental transformation of education and teaching mode, and promote the improvement of teaching effect. In such an era, the education field should follow the development of artificial intelligence, promote its own teaching reform and innovation, "use intelligent technology to accelerate the reform of talent training mode and teaching methods, and build a new education system that includes intelligent learning and interactive learning."
RESNET DEEP LEARNING TECHNIQUE TO IMPROVE BREAST CANCER DETECTION ON SCREENING MAMMOGRAPHY

The restrictions of computer aided detection(CAD) systems for mammography screening, the acute significance of early detection of breast most cancers and the greater impact of The fake or false evaluation of patients energy researchers to analyze Deep learning(DL) techniques for mammograms identification. mammograms image the background (Noise) Can disturb the detection of breast most cancers and decrease the charge of accuracy inside the pc aided evaluation (CAD).Hence the Pre-processing of mammogram pictures may be very important inside the procedure of breast most cancers analysis due to the fact it can reduce the variety of false tremendous. DNN Can offer discrimination picture representation, it known as features, by using successive utility of linear filters, non-linear activation characteristic, normalization and pooling operations, for that reason averting the need to design such capabilities manually. By Using Pectoral Muscle Removal(PMR) it will avoid False positive , there are two different views: Craniocaudal view (CC) and Mediolateral Oblique(MLO). The primary column offers perspectives of the right breast that is Right Craniocaudal view (RCC) and Right Mediolateral Oblique view (RMLO). The other column offers two perspectives of the left breast i.e Left Craniocaudal view (LCC) and Left Mediolateral Oblique view (LMLO). and we are using some techniques in PMR. By using Pectoral Muscle Removal we can easily increases accuracy and avoid 90% of false detection. The classification of DNN algorithm using ResNet technique gives a better results.
The Influence of Teacher Attitude on Student Achievement at Grade Six, Elementary School Hyderabad

It is highly important for the teacher that to be able to shoulder leadership responsibilities effectively. This could be achieved if the needed knowledge is imparted by highly motivated teachers who will in turn inspire the learners. To be certain about the motivation level of the subject teachers, this study will conduct to examine and evaluate teachers’ attitudes towards teaching and learning of students in elementary schools. Qualitative Descriptive methodology is used in research with simple random sampling. The population of the study consisted of eight girls randomly select in girl’s high secondary school with six teachers of grade six. The Observational checklists on behaviors were administered to collect data and simple percentage will used in analyzing it. It is evident that teachers have various attitudes towards teaching in elementary schools. Therefore, stakeholders in education should see to motivating the subject teachers to teach the subject effectively and efficiently to arouse civic consciousness in the students who will be our future of country. The teachers of Government High School not using new techniques and methods in teaching schools or in the character building of student personalities the attitudes or behaviors of teachers is one the major reasons in student poor academic performance. Effective teaching learning process is essential for providing quality of education at all levels. This research study examined the influence teacher’s attitude on student’s performance at grade six there are different things such as behavior, attitude, understanding basic concept, skill, methodology, language in teaching of all subject through pre- observation and post- observation result research design. The sample of this study includes eight students and six teachers of Government Girls high school attached with Government Elementary College of education (women) Hyderabad. Researcher have use observational tool in preliminary visit for identification of student learning understanding. In first stage researcher conduct the observation on checklist tool that out the find reasons that which problems students face from teacher attitude. Then also use other tool that helps researcher to analyze the reasons behind teacher or student attitude that are affecting student’s performance.
Analysis of Stochastic Birth – Death Process with Mean, Variance and Matrix Models

The mean and variance were generated from the probability generating function.The generator matrix A was gotten from the stochastic Birth-Death process.Applications for the study such as Data communication, Post office, Park place, Super markets, Traffic lights, Production system were highlighter as the importance of stochastic processes.Basic notations and definitions were given to understand the various concepts.
BEST PRACTICE TO MONITORING THE CRYPTOCURRENCY USING MACHINE LEARNING

In the past eight years of Bitcoin’s history, the economy has seen the price of Bitcoin rapidly grow due to its promising outlook on the future for crypto currencies. Investors have taken note of several advantages Bitcoin provides over the traditional banking system. One such trait is that Bitcoin allows for decentralized banking, meaning that Bitcoin cannot be regulated by powerful banks. There is also a market cap of 21 million Bitcoins that can be in circulation, therefore a surplus of Bitcoins cannot be “printed” which would result in inflation. Bitcoin resolves the issue with transaction security by using a block chain, or a ledger, which records the history of every transaction ever made into one long hexadecimal “chain” of anonymous transactions, which keeps transaction history transparent, but also confidential. Bitcoin as a result has become a very bullish investing opportunity, and due to the huge volatility of the Bitcoin market price, this paper attempts to aid in investment decision making by providing Bitcoin market price prediction. Our team explored several Machine Learning algorithms by using Supervised Learning to train a prediction model and provide informative analysis of future market prices. We start with Linear Regression models, and train on several important features. We show that the price of Bitcoin can be predicted with Machine Learning with high degree of accuracy.
CYBER CRIME AND STRATEGIES FOR REDUCING ITS MENACE AMONG NIGERIAN YOUTH THROUGH PROPER IMPLEMENTATION OF CYBER SECURITY AND EMPLOYMENT CREATION

Crime is as old as man. So far that society exists, there must be good and evil. Evil permits the existence of crime. However, this paper examined cyber crime and strategies for reducing its menace among Nigerian youth through proper implementation of cyber security and employment creation. It strongly recommends that the religious bodies should preach against the evil of cyber crime that is destabilizing the youth and societal growth and development. Again, it recommends that the government should provide employment opportunities for the youth thereby giving them the space for personal growth and to contribute to the development of the society at large.
Steganalysis of Markov Chain-Based Statistical Text Steganography

Text steganography is the art of hiding a secret message in a text.Conversely, text steganalysis is the art of detecting a hidden message in a text.In this work, we studied the detectability performance of a Markov chain (MC) based statistical text steganography technique.We started by analyzing Arabic texts of different types: economy, sports, international news.Then, the MC-based encoder was used to hide Arabic messages of various lengths.Subsequently, we extracted specific features from the stegotexts and the natural texts and applied them to a support vector machine (SVM) classifier.We noticed that detectability depends on the cover message type, the length of the concealed message, the embedding rate, and the extracted features.We noticed that lower the embedding rate and the smaller the text-size, less accurate is the classification.Moreover, the accuracy of an SVM classifier was less than 67% for 1 KB stego-texts generated with Arabic economy or sports cover texts with an embedding rate of 4 bits per word (bpw).Besides, more than 62% of stego-texts were classified as natural texts for 1 KB text-sizes when we considered the word distribution feature.
The Application of English Linguistic Theory in English Teaching in Higher Vocational Colleges

Under the background of the new era,English can be said to have become a world language,and English learning has been paid more and more attention in the field of higher vocational education. How to effectively improve the quality of English teaching has become one of the more headache problems for higher vocational professional teachers. In order to do this work well,this paper aims at the application strategy of English linguistic theory in higher vocational English teaching. The author hopes to improve the students’ English level.
Low-Computation-Cost Data Hiding Scheme Based on 4-2 Double-layer Square Magic Matrix

Data hiding is a technology of how to embed secret data into digital images. Many combinations of various sizes of doublelayer magic matrix data hiding schemes have been tried. However, the double-layer magic matrix data hiding scheme is high computational complexity. A proposed scheme in this study improves the data hiding scheme of the 4-2 double-layer magic matrix and solves the problem of computational time complexity by changing the range of search elements. Experiment results verify that the proposed scheme speeds up the calculation time and maintains the same hiding capacity.
Linguodidactic potential of educational computer games

The definition of the concept of a computer game and the content of the parameters included in it are given. The types of computer games and how they are used for didactic purposes are considered. The main types of games include: design programs; dramatization (fairy tale con-structors); developing computer programs aimed at developing visually-motor coordination in space; puzzles, games for the development of logical thinking; games for the development of at-tention and memory. The analysis of a number of advantages of computer games in the educational process is carried out. These include the following provisions: a large number of ways to provide information; a positive effect on the motivation and interest of students in the educational process; the variability of the ways in which the problems are solved, as well as control over their solution and formulation; a huge toolkit designed to control the activities of students; a beneficial effect on the development of introspection skills. We also consider the distribution of learning games according to different groups, depending on their nature of activity related to cognition. Game methodology and its basic principles are considered. The main principles are meaningfulness of learning; learning context; multivariance. The main suggestions for the proper use of computer games in the educational process are also considered. The main point will be the emergence of motivation to learn. Two fundamental principles of the motivation phase are also analyzed, which should be considered when choosing a computer game in the educational process. These include such principles of the phases of motivation as: research and culture. An analysis of how to use games, especially their educational part, to ensure a successful educational process is carried out.
Order Optimal One-Shot Federated Learning for non-Convex Loss Functions.

We consider the problem of federated learning in a one-shot setting in which there are $m$ machines, each observing $n$ samples function from an unknown distribution on non-convex loss functions. Let $F:[-1,1]^d\to\mathbb{R}$ be the expected loss function with respect to this unknown distribution. The goal is to find an estimate of the minimizer of $F$. Based on its observations, each machine generates a signal of bounded length $B$ and sends it to a server. The sever collects signals of all machines and outputs an estimate of the minimizer of $F$. We propose a distributed learning algorithm, called Multi-Resolution Estimator for Non-Convex loss function (MRE-NC), whose expected error is bounded by $\max\big(1/\sqrt{n}(mB)^{1/d}, 1/\sqrt{mn}\big)$, up to polylogarithmic factors. We also provide a matching lower bound on the performance of any algorithm, showing that MRE-NC is order optimal in terms of $n$ and $m$. Experiments on synthetic and real data show the effectiveness of MRE-NC in distributed learning of model's parameters for non-convex loss functions.