Reviewerly/exHarmony huggingface dataset:
Positioning Strategy Design of Online Travel Agent Applications Based on Perceptual Mapping

Kliktrip is one of the online travel agent application brands with day trip and activity booking services in Indonesia which was established in 2018. In the last few years, Kliktrip has experienced several symptoms, including a decrease in revenue in the second year and the low level of brand differentiation of the Kliktrip online travel agent application based on customer perception compared to other online travel agent application brands. Based on the symptoms of these problems, it can be concluded that the brand of the Kliktrip online travel agent application is weak in customer perceptions of the online travel agent application because customers tend not to know the advantages offered by the Kliktrip online travel agent application brand. To be successful in facing competition with other business competitors, it is necessary to carry out sustainable development by building competitive differentiation by designing and improving positioning strategies. Based on the results of the perceptual mapping, there were 4 groups of competitive areas, the online travel agent Kliktrip application brand was in the same area as the Explorer.id online travel agent application brand which made it the main competitor of the Kliktrip online travel agent application brand. The objectives of this research are to (1) Design a strategy for improving the brand positioning of the online travel agent application and (2) Optimize the resources owned by the Kliktrip online travel agent application brand to implement a strategy for improving the brand positioning of the Kliktrip online travel agent application.
Organizing Students’ Independent Work: An Approach for Graduate and Undergraduate Students

In the modern educational process, the proportion of independent work for students increases. The aim of this study is to develop an approach to organizing student work based on their level of education (bachelor’s or master’s). Creating a new approach based on the level of learning is important because it will improve the quality of independent work of students and increase their level of motivation for independent learning. A survey study was carried out among 210 bachelor’s students (second year) and 60 master’s students (first year) to determine their preferences towards the structure and types of independent work and its assessment. (The total number of respondents were 270.) Respondents were selected based on their level of education. A total of 76 lecturers were also selected to take part in the study. In this paper, we describe an approach to organizing student independent work based on the survey results. We found that the independent work of undergraduate students consisted of working with given materials (80%) and literature searches (20%). Most of the lecturer respondents considered work with ready to use educational materials to be the most favorable for bachelor’s students (70%), with much fewer considering independent or mixed work to be more effective (8% and 22%, respectively). The final module testing includes the questions addressed in the classroom and the topics students studied independently. The practical significance is that the developed approach to organizing student independent work can be used by any institution of higher education within the Bologna Process.
Digital Diversity

Digital teaching and learning and diversity-sensitive teaching are often researched independently. This can quickly lead to overlooking the common origin of digitization (or early Internet culture) and an emancipatory diversity-sensitive stance. Uncovering the common origin in the emancipation movements at (US) universities in the 1960s to the early 1980s allows for practical consequences for a diversity-sensitive use of digital media in educational contexts. To accomplish this, the presentation is divided into three steps. In the first step, the development of a diversity-sensitive attitude will be reconstructed, and in the second step, the development of early Internet culture. Based on this genealogical reconstruction work, a competence model for a diversity-sensitive use of digital media in educational contexts will be presented.
Illegal Roads Leading to Legal Ends: Bitcoin Mining in Malaysia

A decade ago, no one would have envisioned that Bitcoin would be as lucrative as it is today. What many first thought of as a scam, has now turned out to be one of the fastest growing digital currency in the world. This paper attempts to explain the legal framework and implications of Bitcoin mining, mostly in Malaysia, while also citing examples of other nations. The research attempts to shed light on how mining actually becomes illegal, despite not being directly penalized under most laws. The second part of the paper aims to critically analyse the solutions and reforms that can be put into motion in order to further facilitate the growth of Bitcoin in Malaysia. While some nations have started amending existing laws and promulgating new laws to address the rapid growth of Bitcoin, most countries still have no clear guidelines outlining Bitcoin mining and the Bitcoin trade in general. This paper also attempts to shed light on how the Bitcoin mining process can be made more environmentally friendly, so as to benefit both miners as well as the public at large.
Identification of Interpolated Frames by Motion-Compensated Frame-Interpolation via Measuring Irregularity of Optical Flow

Motion-compensated frame-interpolation (MCFI), synthesize intermediate frames between input frames guided by estimated motion, can be employed to falsify high bit-rate videos or high frame-rate videos with different frame-rates. Although existing MCFI identification methods have obtained satisfactory results, they are seriously degraded by stronger compression. Therefore, to conquer this issue, a blind forensics method is proposed to identify the adopted MCFI methods by considering the irregularities of optical flow produced by various MCFIs. In this paper, a set of compact features are constructed from the motion-aligned frame difference-weighted histogram of local binary pattern on the basis of optical flow (MAFD-WHLBP). Experimental results show that the proposed approach outperforms existing MCFI detectors under stronger compression.
The urgency of the problem synthetically reproduced mediacontent

International scientific conference «Interaction of culture, science and art in terms of moral development of modern European society» : conference proceedings, December 28–29, 2021. Riga, Latvia : «Baltija Publishing», 2021. 174 pages.
Acknowledgment to Reviewers of Catalysts in 2020

Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Catalysts maintains its standards for the high quality of its published papers [...]
Students and education during the covid-19 pandemic: study and perspectives

The COVID-19 pandemic has grown a worldwide health concern and has imposed a significant impact on education. As a result, halfway through the second semester of 2019/2020, learning methods were delivered through distance learning (DL). The purpose of the paper is to study the specifics of online education during the Covid-19 pandemic. A comprehensive diagnostic study of the psychological characteristics of students included the following methods: the test of life-meaning orientations (LMO), adapted by D.A. Leontiev (2006), diagnostics of the motivational structure of personality. Based on the results of the conducted empirical research, duration of study influenced student preference. Plus, Higher number of first-year students preferred DL compared to their seniors. Notwithstanding some challenges, students could adjust to the new education methods of full DL, and the majority recognized combined learning that combined classroom and distance learning can be performed subsequently. The COVID-19 pandemic transforms the application of technology in education and teaching approaches in the near future.
Relationship of Study Habit to Intelligence Quotient Level and Academic Performance

Nothing is stronger than a habit.When a habit is already established in the system or routine of an individual, it promises great, or on the opposite, damaging result to the life of that individual.The purpose of this study is to find out the relationship of study habit and Intelligence Quotient Level of high school students.Sixty high school students of Sta.Cruz, Laguna, Philippines participated in this study.It was found out that the mean level of study habit of high school students is 2.57 (frequent), the mean IQ level is 107 (average), and the mean level of academic performance is 84.12 (average).Also, it was found out that the study habit of high school students has nothing to do with their IQ level; study habit and academic performance of high school students has a low to moderate relationship, and the IQ level of high school students significantly affects their academic performance.A more frequent parent-teacher conference will play a very vital role in making the plan to create consistency.This, of course will materialize if parents have realized that they have a big part/role on their children's achievement.Peers, parents and school should work together to improve students' performance.
THE METHODS OF FORMATION OF VISUAL AND INFORMATION CULTURE OF PRE-SERVICE MATHEMATICS AND COMPUTER SCIENCE TEACHERS

Modern mathematics and computer science teacher must have a high level of formation of visual and information culture, i.e. must have values, aspirations for development in the field of visualization and informatization of education; have computer and mathematical, psychological and pedagogical, technological knowledge; skills to perceive, analyze, compare, interpret, produce using information technology, structure, integrate, evaluate visually presented educational material, which depends on the method of cognitive theoretical and practical activities of teachers and students. One of the possible ways to increase the effectiveness of the formation of visual and information culture of pre-service mathematics and computer science teachers is the use of active teaching methods, which include problem method, task method, brainstorming and netnography. The use of the problem method helps to form the desire and interest in learning, which is accompanied by an independent «discovery» of new knowledge, overcoming cognitive contradictions; the ability to solve problems that arise independently and independently choose the computer visualization means (CVM) to solve them; develop the ability to self-education. The use of the task method allows to form the ability of rational choice of CVM in accordance with the chosen method of solution, rational choice of CVM computer tools; construction of a cognitive and visual model, interpretation of the obtained computer solution. The method of brainstorming helps to intensify the students’ educational and cognitive activities, the formation of skills to concentrate on solving urgent problems, active production of ideas, gaining experience of collective thinking and finding the most rational way of solving. The netnography method was used to analyze the Internet to study the experience of the Internet teachers, scientists and teachers-practitioners community in the use of CVM in the educational process.
Modern aspects of practical training in higher education

The article considers the issue of practical training of students as an important condition for the formation of professional qualities of a specialist. It is emphasized that the process of training in a pedagogical institution of higher education should focus on the acquisition of theoretical knowledge, development of the teacher, his professional and personal qualities, and practice – on a combination of theory and practical skills. It is established that the practical training of students orients them to the knowledge of pedagogical phenomena, facts, patterns and principles of teaching and education, allows students to assess the degree of their own readiness to carry out independent pedagogical activities. It is investigated that the issues of practical training in higher education are covered by modern scientists in various aspects. It is generalized that the practice – method of research of the educational process by trainees, which aims to develop skills and abilities that are necessary in future professional activities, as well as to consolidate theoretical knowledge and learn to apply them in working with children. The responsibilities of teachers-supervisors and students during the internship are formulated. It is concluded that practical training is really an important condition for the formation of professional qualities of the specialist, so during the internship, students, performing the functional duties of a teacher, gain their own pedagogical experience. The main professional qualities are defined: professional thinking, professional orientation, communicative qualities, organizational qualities, critical view of one's knowledge, interest in children's destiny, ability to anticipate and predict, etc.
Pengembangan Aplikasi Buku Penghubung Berbasis Web Sebagai Media Interaksi Sekolah – Orang Tua

Communication book is one of supporting instrument of communication mechanism of teacher and parents considered not yet effective. Thus, it is necessary to develop a communication book in the digital environment as a solution to the problem. This study aims to develop communication book applications as a medium of communication between teachers and parents. This research uses research and development (R &amp; D) method with waterfall model approach that focused on efforts to produce a prototype of the product. Stages of research and development include communication, planning, modeling, construction, and deployment. Web-based development product using MVC design pattern concept with YII framework through the testing unit and ISO25010 standard quality. The result of this research and development is a prototype of communication book application as a proof of concept towards the approach used.
C-Lock: Local Network Resilient Port Knocking System Based on TOTP

Port knocking is an access-control technique that consists of revealing a network protected resource only to those users that can prove they know a preshared port sequence. This proving process is done by connecting to the defined ports in the correct order; so, the list gets exposed to the adversaries with access to the connection’s channel. We propose a newfangled technique for protecting this process, avoiding eavesdroppers to get a long-live valid sequence. Our method is based on TOTP codes and has been designed thinking on making it the most usable as possible. There has been designed two different approaches, but we demonstrate that the most simple of them is far enough robust, while it remains to be very usable. This technique is especially suitable for enhancing the resilience of network services against local network adversaries.
Inverted Sparse Discriminant Preserving Projection for Face Recognition

Image classification and face recognition has been a popular subject matter for the last several decades. Images are usually handled as transformed as vectors which makes their classification a dimensionality reduction task. Some of the well-known algorithms in the area, such as the Sparsity Preserving Projection (SPP), create new theoretical concepts families, while other successfully modify or combine useful properties of the former ones. Compiled algorithms like Sparse Discriminant Preserving Projections (SDPP) employ the properties of the Sparse Representation (SR) as in their objective functions they include a supervised modification of the sparse weight matrix that considers the intra-class relations. By examining the construction of the SDPP algorithm and by providing some arguments on the supervised SR, in this paper we propose a new subspace learning algorithm, called Inverted Sparse Discriminant Preserving Projection (ISDPP). Likewise SDPP, ISDPP integrates supervised SR with the Fisher’s criterion. In contrast to SDPP, ISDPP incorporates a between-class SR with the Fischer’s within-class scatter matrix. A preliminary round of experiments support the initiative and provide an expectation for possible superior performance of the proposed ISDPP that is confirmed in the next round of empirical examinations.
Peer review declaration

Abstract All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double-blind • Conference submission management system: All the papers were submitted papers via the conference email: mbdas2021@sina.com • Number of submissions received: 115 • Number of submissions sent for review: 101 • Number of submissions accepted: 48 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100):41.7% • Average number of reviews per paper: 2 • Total number of reviewers involved: 88 • Any additional info on review process: MBDAS2021 uses a software to detect instances of overlapping and similar text in submitted manuscripts. • Contact person for queries: Ms. Yolanda Xu, Advanced Science and Industry Research Center, Hong Kong, mbdas2021@sina.com
CONTROL VARIATES WITH A DIMENSION REDUCED BAYESIAN MONTE CARLO SAMPLER

Evaluating the expectations of random functions is an important task in many fields of science and engineering. In practice, such an expectation is often evaluated with the Monte Carlo methods which rely on approximating the sought expectation with a sample average. It is well known that the Monte Carlo methods typically suffer from a slow convergence, which makes it especially undesirable for problems where generating samples requires expensive computer simulations. An alternative to the standard Monte Carlo methods is the so-called Bayesian Monte Carlo algorithm, which formulates the expectation estimation as a Bayesian inference problem. As has been demonstrated in literature, the Bayesian Monte Carlo method is often more efficient than the standard Monte Carlo in a large range of problems. However, a major limitation of Bayesian Monte Carlo is that it models the integrand function as a Gaussian process, and as a result, it can not handle problems of high dimension. In this work, we propose a method to address this issue, and specifically we incorporate the Bayesian Monte Carlo framework with the likelihood-based dimension reduction technique, which allows us to evaluate the expectation of functions with very high dimension. In addition, we also provide a control variate scheme to further improve the performance in case the dimension reduction or the BMC estimation is not accurate. We then apply the proposed method to compute the Bayesian evidence in large-scale inference problems.
Библиометрический анализ ситуации в российской науке

The article analyzes of the publication activity of Russian scientific research as well as the degree of their financial support. The analysis covers a 27-year period (1993–2019) and is carried out in comparison with world trends. The paper analyzes tendencies of publication activity of Russian scientists both in certain fields of knowledge and their sections, and in Russian science as a whole. The sources of initial information are data of the international information system Web of Science, as well as documents of state bodies of Russia, UNESCO, and a number of other interstate and international organizations and companies. There is a decrease in the share of Russia in world investments in R&amp;D. In the period of 1993–2012 there was a sharp drop in the share of Russian publications in the global flow of scientific papers. Since 2013, this trend has been reversed. Nevertheless, this indicator even in 2018 does not reach the values of 1993.
Continuous multi-query optimization for subgraph matching over dynamic graphs

There is a growing need to perform real-time analytics on dynamic graphs in order to deliver the values of big data to users. An important problem from such applications is continuously identifying and monitoring critical patterns when fine-grained updates at a high velocity occur on the graphs. A lot of efforts have been made to develop practical solutions for these problems. Despite the efforts, existing algorithms showed limited running time and scalability in dealing with large and/or many graphs. In this paper, we study the problem of continuous multi-query optimization for subgraph matching over dynamic graph data. (1) We propose annotated query graph, which is obtained by merging the multi-queries into one. (2) Based on the annotated query, we employ a concise auxiliary data structure to represent partial solutions in a compact form. (3) In addition, we propose an efficient maintenance strategy to detect the affected queries for each update and report corresponding matches in one pass. (4) Extensive experiments over real-life and synthetic datasets verify the effectiveness and efficiency of our approach and confirm a two orders of magnitude improvement of the proposed solution.
Scaffolding Technique on Students’ Ability to Write An Essay

Writing is a difficult skill to be taught. Students have problems especially in essay writing. They feel afraid to write their ideas and make errors and mistakes. This research aimed to find out the use of scaffolding techniques on students’ ability to write an essay. The research was conducted at the English Language Education Study Program of Teacher Training and Educational Sciences, Pakuan University. There are 12 students from fourth semester as the participants. In this research, pre-experimental methods with one group pre-test and post-test designs are used. Written test is given to measure students’ ability to write an essay. The data are analysed using the t-test formula. According to the data analysis, the mean of the difference was 19,75. Furthermore, the t-test value is 7,78. Meanwhile, t-table value is 2,20 at significant level 0,05 with degree of freedom (df) is 11. It shows that the t-test value is higher than the t-table value (7,78 more than 2,20). It means that an alternative hypothesis (Ha) is accepted and the null hypothesis (Ho) is rejected. In conclusion, the result shows that scaffolding technique is effective to be applied.
Reliable Traffic Sign Recognition System

Traffic sign detection and recognition is an important part of Advance Driving Assistance Systems (ADAS), which aims to provide assistance to the driver, autonomous driving, or even monitoring of traffic signs for maintenance. Particularly, misclassification of traffic signs may have severe negative impact on safety of drivers, infrastructures, and human in the surrounding environment. In addition to shape and colors, there are many challenges to recognize traffic signs correctly such as occlusion, motion blur, visual camera’s failures, or physically altering the integrity of traffic signs. In Literature, different machine learning based classifiers and deep classifiers are utilized for Traffic Sign Recognition (TSR), with a few studies consider sequences of frames to commit final decision about traffic signs. This paper proposes a robust TSR against different attacks/failures such as camera related failures, occlusion, broken signs, and patches inserted on traffic signs. We are planning to utilize generative adversarial networks to corrupt images of traffic signs and investigate the robustness of TSR. Furthermore, we are currently working on designing a failure detector, which will help the TSR in advance before recognition, whether images are corrupted with some type of failure. Our conjecture is that failure detector with classifiers will improve the robustness of TSR system.