Reviewerly/exHarmony huggingface dataset:
Atomic Decay-Based Clustering for Operation Log

The so-called data clustering refers to dividing the data into some aggregated clusters according to the intrinsic properties of the data. The elements in each aggregated cluster have the same characteristics as much as possible, and the differences between different aggregated clusters are as large as possible. With the advent of the information age, as early as the 1950s, the concept of clustering has been proposed. The purpose of data clustering is not only limited to the integration of data, but also widely used in data classification, feature extraction and other key areas of data mining. However, the research on clustering methods aiming at complex sources, massive items and operation and maintenance systems is relatively few. This paper focuses on the operation logs, and propose an atomic decay-based clustering (ADC) method to handle the operational logs from State Grid IT data center, which can be used to effectively discover the changes of the topology structure of State Grid IT data center. Through the analysis of the operation logs of State Grid IT data center with time series characteristics, the proposed ADC method can effectively outperform the existing approaches on the operation logs.
How Great is the Great Firewall? Measuring China's DNS Censorship.

The DNS filtering apparatus of China's Great Firewall (GFW) has evolved considerably over the past two decades. However, most prior studies of China's DNS filtering were performed over short time periods, leading to unnoticed changes in the GFW's behavior. In this study, we introduce GFWatch, a large-scale, longitudinal measurement platform capable of testing hundreds of millions of domains daily, enabling continuous monitoring of the GFW's DNS filtering behavior. We present the results of running GFWatch over a nine-month period, during which we tested an average of 411M domains per day and detected a total of 311K domains censored by GFW's DNS filter. To the best of our knowledge, this is the largest number of domains tested and censored domains discovered in the literature. We further reverse engineer regular expressions used by the GFW and find 41K innocuous domains that match these filters, resulting in overblocking of their content. We also observe bogus IPv6 and globally routable IPv4 addresses injected by the GFW, including addresses owned by US companies, such as Facebook, Dropbox, and Twitter. Using data from GFWatch, we studied the impact of GFW blocking on the global DNS system. We found 77K censored domains with DNS resource records polluted in popular public DNS resolvers, such as Google and Cloudflare. Finally, we propose strategies to detect poisoned responses that can (1) sanitize poisoned DNS records from the cache of public DNS resolvers, and (2) assist in the development of circumvention tools to bypass the GFW's DNS censorship.
The Quantum State Engineering by Adiabatic Decoherence-Free Subspace

Decay effect for open quantum system is investigated in this paper. After comparing the fidelity with Adiabatic evolution of Decoherence-Free Subspace, Dissipated Engineering Subspace and Adiabatic Evolution Subspace. We show that, for open quantum system, Adiabatic evolution of Decoherence-Free Subspace has its advantages for preparation of steady state.
Analisis Tata Kelola Teknologi Informasi Menggunakan Domain EDM (Studi kasus: Kantor PDAM Kabupaten PPU)

This research has the intention of managing IT governance at the PDAM Kab. PPU. With this investigation it is hoped that it can provide recommendations in order to provide information on existing IT infrastructure and can also provide recommendations or solutions to the company with the intention of being able to assist in controlling problems so that the company can see the feasibility of the information system that has been implemented in the company. at the same time it can increase the level of work productivity and increase the efficiency, effectiveness and data integrity of the system that has been implemented. This study uses the COBIT 5 framework which provides a framework that can assist companies in achieving true goals in managing IT so that they can be optimized. In COBIT 5, there is a Process Capability Model which provides a guide on how to model the IT resource optimization capabilities for the company, this is done by the company to see whether IT resource management is in accordance with what the company expects. The capability model for the optimization of IT resources in the Evaluate Direct and Monitoring (EDM) process is where processes related to optimization of IT resources and the resulting work results will be generated.
EFFICIENCY OF REMOTE TECHNOLOGIES ON THE APPROACHING THE CONTENT OF A E-LEARNING MATHEMATICS COURSE USING MOODLE SYSTEM: CASE STUDY

In the higher education system, distance learning using electronic educational courses is becoming the most relevant and widely demanded way of learning. This is primarily due to the rapidly developing worldwide process of digitalization of education. Besides, in connection with the transition to a two-level education system, the number of hours in the curriculum devoted to students’ independent work has significantly increased. These technologies are a useful tool for organizing a student’s cognitive independence. The advantages are the ability to study at any convenient time, anywhere, the ability to learn at one’s own pace, and the ability to learn without interrupting work. On the other hand, there are some shortcomings, such as the problem of user identification and the need for the student to have strong motivation. This study aimed to show one of the options for organizing students' independent work on the example of the electronic educational course "Mathematics and Fundamentals of Mathematical Information Processing", created on the basis of the LMS MOODLE system. The experiment was attended by 30 students from two academic groups (15 people each) aged 16 to 17, studying at the Elabuga Institute of Kazan (Volga) Federal University. One of the groups mastered the discipline "Mathematics and Fundamentals of Mathematical Information Processing" in the traditional form, the other group - in the remote form using the electronic educational course developed by the authors. After studying the course in both groups, verification work and a survey were conducted. Processing the results of the control work using statistical methods made it possible to assess how much the success of students in mathematics depends on the choice of the form of training. The survey results allowed the authors to formulate ways to improve the quality of distance learning mathematics using an electronic educational course.
Foreword to Mobile Education: Personalised Learning and Assessment in Remote Education: A Guide for Educators and Learners

During 20 years of research and development in mobile learning we have discovered much about how students learn with mobile devices in classrooms, at home, outdoors and across locations. The early studies explored how to deliver content to mobile devices. They showed that the new handheld digital assistants and tablet computers were not simply smaller versions of desktop or laptop computers but had distinct affordances for learning. Formatting content for small screens forced educational technologists to think about how to present material for effective learning, such as presenting instructional sequences through animations and short videos. The power of mobile technology to combine media capture (taking photographs, recording audio and video) with data collection, and calculation led to outdoor activities such as field trips and multimedia trails supported by handheld devices. In classrooms, students used mobile devices to take notes, perform calculations, visualise data and respond to quiz questions.The next stage in development of mobile learning came with a realisation that the focus should be on mobility of the learner. Within a classroom, the context of learning is tightly constrained: students sit at tables or desks, their focus is on the teacher, they follow a lesson plan. When students learn at home or outdoors, those constraints are relaxed and changed. The learner has more agency to determine when and how to learn. Students can move across settings – school, outdoors, home – and use mobile devices to continue their learning. An influential paper by Wong and Looi (2011) identified ten elements of seamless learning, where mobile technology can support movement from one context to another. These included learning across time, across locations, between physical and digital worlds, and among multiple devices. No longer is the mobile learner restricted to using a single handheld device – with cloud-based technology, students can access and share content on many devices from many locations.Now, mobile learning is being reconceived as learning activities that are embedded into the daily lives of students and lifelong learners. During a typical day, a university student might wake to a radio news item about higher education policy, read a blog about new technology, catch up on coursework over breakfast, watch a recording of the previous day’s lecture, attend classes and take notes, take photos of a science experiment, engage in a short course for interest, share notes with a classmate, add content to a team project, watch some YouTube videos for leisure learning – all with a personal mobile phone or tablet. The interleaving of work and leisure, mixing of media, and movement between curriculum-led and self-motivated learning form the fabric of everyday life for many students and adult learners.
The Effect of Role-Playing Method on Student's Confidence in Indonesian Language Subjects

The purpose of this study was to determine the effect of the method of playing a role in student confidence in Indonesian subjects. The quasi-experimental method is used as a research method with the Non-Equivalent Control Group Design research design. The population of all students in the primary school state of Cilaku. Samples were taken as many as 48 students from the VA class of 24 students as the control class and the VB class of 24 as the experimental class. The data analysis technique used in determining the average, calculating the standard deviation, normality test, homogeneity test, and t-test. The results showed that the variable of students 'confidence using the role-playing method obtained an average posttest score of 78.33. In contrast, the results of students' confidence using conventional learning received an average posttest score of 66.17. Then the hypothesis test is performed, which shows the results of t count 4.09 and t table = 2.074 with n-2 = 24-2 = 22 and a significance level of 0.05. Based on the t count ˃ t-test criteria, Ha is accepted, and Ho is rejected. Thus it can be concluded that the role-playing method influences students' confidence in Indonesian subjects.
IMPLEMENTING SECURED INFORMATION SYSTEM FOR EDUCATIONAL INSTITUTIONS USING SERVER-SIDE ENCRYPTION OF FILES AND DATA ON THE CLOUD

Though cloud computing promotes less expensive and collaborative work environment among a group of employees, it involves risks in keeping the resources such as computing and data secured.  Every organization classifies its data based on the sensitivity of data defined in its policy.  Some classification schemes label data as Confidential, Internal Use Only, or Public Domain, where as others use labels such as Level 1, Level 2, and Level 3.  Using cloud computing, especially in the public cloud model, the critical information of an organization is stored and maintained at various geographical locations in the cloud platform.  The organization does not have any control over the data in the cloud.  Though Cloud Service Providers (CSP) such as Amazon and Google provide their own mechanism for securing files and databases stored and maintained on the cloud, it is the sole responsibility of the users (Cloud Users) to secure their sensitive data uploaded and stored on the cloud storage.  This privacy preserving of sensitive data can be achieved using cryptography that conceals information from others.  Encryption allows data to be stored safely anywhere on the cloud.  Depending on the sensitivity of the data, the owner of the data needs to encrypt the data in transmission and/or at rest as in a database.  In this research, the authors have proposed a model of Server-side Encryption of files/data after migrating them on to the server.
Development of Methodological Foundations for Designing a Classifier of Threats to Cyber-physical Systems

The emergence of a full-scale quantum computer questions the stability of almost all symmetric and asymmetric cryptography algorithms. At the same time, the rapid growth of computing resources of IT and “G” technologies contributes to an increase in attacks on information and communication (ICS) and cyber-physical systems (CPS). These systems are the core of modern critical cybernetic information systems (CCIS). In such conditions, the primary task of maintaining the required level of security is the classification of modern threats that are integrated with social engineering methods and acquire signs of synergy and hybridity. The paper proposes a synergistic model of threats to ICS/CPS, which takes into account the focus of threats on synergy and hybridity, and the combined impact of security components: information security (IS), cybersecurity (CS), security of information (SI). This approach allows developing methodological foundations for building a unified classifier of threats to cyber-physical systems, forming sets of critical threats, critical points in the ICS/CPS infrastructure elements, based on minimal computing, human and economic costs. The developed methodology for determining the category of an attacker allows systematizing an attacker and, based on the analysis of weighting factors, forming a matrix of correspondence between the capabilities of attackers of various categories and technical means of information security (TMIS). These actions significantly reduce the risk of an attack by certain categories of attackers and allow for planning in the formation of both the IS policy and the corresponding protection profiles.
Evaluation of quality assurance in the cytopathology laboratory of a tertiary care hospital in Eastern India

Background: In this era of evidence-based medicine, clinical laboratories play a critical role in patient diagnosis and management. Aims: The present study aims to study the quality assurance in the cytopathology laboratory of a tertiary care hospital in the Eastern region of India. Materials and Methods: An observational, retrospective, and analytic study for 1 year was conducted. The sample size was 600. Simple random samples were selected including pleural fluids, ascitic fluids, cerebrospinal fluids, cervical cytology Pap smears, fine needle aspiration (FNA) cytology, and guided FNA samples. Results: Maintenance of authentication of reports and ISO accreditation showed no deficiency, whereas report generation, dispatch, and documentation of duplicate reports showed the highest deficiency (593, 98.8%) in maintaining quality assurance. Incomplete requisition was the most common cause of registration failure (3, 42.8%), whereas samples sent in wrong vials was the most common cause of sample collection failure (3, 37.5%). The presence of artifacts was the major factor affecting smearing technique (3, 50%). Lack of compliance to standardized protocol in manual staining and mechanical factors of automated strainers affected the staining quality (3, 37.5% each). Power cut and lack of adequate UPS backup affected the productivity of equipment mostly (3, 50%). Technical issues were the major factor affecting turnaround time (3, 50%). Lack of manpower at the report dispatch counter and logistics affected report generation and dispatch (2, 33.3% each). Randomly selected reports were crosschecked with histology and prediction accuracy measures were calculated. Conclusion: The preanalytical, analytical, and postanalytical factors have to be maintained adequately for ensuring quality assurance.
The Application of Computer Technology in Chinese Teaching for Foreign Students from the Perspective of Internet

As we all know, language must be taught and learned in a certain environment. In recent years, international exchanges have been deepened year by year, and the popularity of teaching Chinese as a foreign language has become higher and higher internationally. There has been an upsurge in learning Chinese throughout the world. The Chinese as a Foreign Language major is a hot specialty in China’s universities. With the rise of international Chinese teaching, the teaching model of Chinese as a foreign language is also constantly reforming. With the rapid development of science and technology represented by computer technology, it has become possible to construct a virtual language environment based on virtual reality technology, which has changed the difficult situation of traditional Chinese teaching as a foreign language. This article first explains the concept of virtual reality technology, and then analyzes the theoretical basis and important value of virtual reality technology in teaching Chinese as a foreign language, and then puts forward the current idea of using virtual reality technology to reform the teaching mode of Chinese as a foreign language in order to promote foreign students. Improve the quality of Chinese teaching.
STUDY RESULTS FOR METHODOLOGICAL TRAINING OF TEACHERS OF MATHEMATICS IN CONDITIONS OF INNOVATION

The contemporary stage of education reform puts high demands on teacher training and on mastering the newest teaching techniques and technologies. All over the globe, there is a search for new education systems that are more democratic, diversified and effective from the standpoint of the interests of the individual and society. This requires, on the one hand, new, more efficient ways of organizing the educational process at the university, in particular, reviewing the structure and content of the methodological training of students. On the other hand, the very concept of “professional pedagogical activity of a teacher” is currently undergoing certain changes. This study aimed to identify how effectively will the methodological training of future mathematics teachers increase based on the introduction of innovative techniques and teaching methods and how the methodology of teaching mathematical disciplines in the conditions of innovation may be improved. Two hundred thirteen people took part in the experimental work, including teachers of mathematics and full-time students, undergraduates, doctoral students, as well as young teachers of the university. The results of the ascertaining experiment became the basis for revising the purposes of the methodological and professional training of future mathematics teachers and made it possible conclude on the necessity of improvement of the system-methodological support for teaching mathematical disciplines in higher education. Because of this, the training of a mathematics teacher should form them as a knowledgeable mathematician, as a person with a high pedagogical and general culture, who, by teaching, would educate the younger generation in the spirit of modernity. It can be assumed that the content of courses in a pedagogical university in mathematical disciplines should, for instance, at a modern academic level, cover those matters that the teacher communicates at school.
Automation of Cricket Scoreboard by Recognizing Umpire Gestures

Imagine how tiresome it is for the scorers to update the scoreboard after each ball delivery during a cricket match. They need to be alert during any point in the match, watch every single ball, record ball by ball events, modify the score and coordinate with the umpire the entire time. A system that can update the scoreboard automatically after every ball will lessen their effort by half; the time taken for the updation and the chances of errors will also be reduced. A novel method for umpire pose detection for updating the cricket scoreboard during real-time cricket matches is suggested in this work. The proposed system identifies the events happening in the pitch by recognizing the gestures of the umpire and then updates the scoreboard accordingly. The concept of transfer learning is used to accelerate the training of neural network for feature extraction. The Inception V3 network pretrained on the visual database ImageNet is culled as the primary prospect for feature extraction. Instead of initializing the model with random weights, initializing it with the pretrained weights reduces the training time and hence is more efficient. The proposed system is a combination of two SVM classifiers. The leadoff classifier tells apart the images that contain an umpire from the non-umpire images. These ‘umpire’ images are then carried forward to the event detection classifier while the ‘non-umpire’ images are repudiated. The second classifier is able to identify four gestures – ‘Six’, ‘Wide’, ‘No ball’ and ‘Out’ from the images, following which the scoreboard is updated. In addition to these four classes, one more label is defined to group those umpire frames within which the umpire does not show any signal, namely the ‘No Action’ class. The cricket video given as input is first split into number of shots and each frame is considered as a test image for the combined classifier system. A majority voter is used to confirm the final classification result which decreases the chances of misclassifications. The preliminary results suggest that the intended system is efficacious for the purpose of automating the updation of scoreboard during real time cricket matches.
Filter pruning - deeper layers need fewer filters

Model pruning aims to reduce the parameter amount of deep neural networks while retaining the performance. Existing strategies often treat all layers equally and all layers simply share the same pruning rate. However, it is observed from our experiments that the redundancy degree differs from layer to layer. Based on this observation, this work proposes a pruning strategy depending on the layer-wise redundancy degree. Firstly, we define the redundancy degree for each layer by the norm and similarity redundancy of filters. Then a novel layer-wise strategy, Redundancy-dependent Filter Pruning (RedFiP), is proposed which prunes different proportion of filters at different layers according to the defined redundancy degree. Since the redundancy analysis and experimental results of RedFiP show that deeper layers need fewer filters, a phase-wise strategy, Phased Filter Pruning (PFP), is proposed that divides the layers into three phases and layers in each phase share the same pruning rate. The phase-wise PFP allows the layer-wise RedFiP to be easily implemented in existing structures of deep neural networks. Experimental results show that when total parameters are pruned by 40%, RedFiP outperforms the state-of-the-art strategy FPGM-Mixed by 1.83% on CIFAR-100, and even slightly outperforms the non-pruned model by 0.11% on CIFAR-10. On ImageNet-1k, RedFiP (30%) and PFP (30%) outperform FPGM-Mixed (30%) by 1.3% and 0.8% with ResNet-18.
Overview of the IDPT Task on Irony Detection in Portuguese at IberLEF 2021

This paper presents the Task on Irony Detection in Portuguese (IDPT), held within Iberian Languages Evaluation Forum (IberLEF 2021). We asked the participants to develop systems capable of identifying irony in texts. We created two corpora containing tweets and news articles. Twelve teams registered to the task, among which six submitted both predictions and technical reports. The best performing system achieved a Balanced Accuracy (Bacc) value of 0.52 for tweets (Team PiLN) and 0.92 for news (Team BERT4EVER).