Reviewerly/exHarmony huggingface dataset:
Secure Authentication for Everyone! Enabling 2nd-Factor Authentication Under Real-World Constraints

Abstract Millions of user accounts have been exposed by data breaches within the last years. The leaked credentials pose a huge threat to many because they can be used for credential stuffing and brute-force attacks across all online services. The best solution for this problem seems to be the use of 2nd-factor authentication, like hardware tokens or one-time passwords. While these are great solutions, they cause many problems for users because they are too expensive, difficult to manage, or just not user-friendly. In this paper, we will present the results of a study that shows that users need and want secure authentication, as long as it is quick, easy, and free of charge. Hence, we investigate how recent advancements in smartphone security and authentications standards can be used to build a mobile authenticator that is easy to use, free of charge, and as secure as a hardware token. Therefore we leverage the Trusted Execution Environment of the Android platform to implement a FIDO compliant authentication mechanism on the smartphone. Furthermore, we integrate this mobile authenticator into a password manager app, to reduce user interaction, simplify the setup and provide an encompassing solution for the user.
Room Acoustic Treatment for Multifunctional Hall Case Study: Yayasan Sinar Pelangi, Jatibening, Bekasi

Designing a multifunction hall must pay attention to all aspects, one of the aspects is room acoustic.Acoustic in a performance hall must be perfectly designed so that the event can run well and a maximum performance also audience satisfaction can be achieved.Moreover, the hall on Yayasan Sinar Pelangi will be used for ballet performance.An optimal room acoustic design can avoid acoustic defects which include echo, prolonged reflection, reverberation, etc.To avoid those things, room acoustic treatment must be used on every interior element and the materials should absorb, reflect, and diffuse sound.The shape of the room is also very important to create acoustic comfort such as rectangular, hexagonal, horseshoe, and fan, each of the shape has its advantages and disadvantages.The method used in this journal is qualitative, while collecting data by using literature studies, interviews and observations.This journal determines to find the best room shape for multifunctional hall, acoustic materials and creating the interior elements in order to improve the acoustic quality of the room.By determining those things, the acoustic design of multifunctional hall will give comfort to the audiences.
Optimization of Channel Estimation Using ELMx-based in Massive MIMO

In communication channel estimation, the Least Square (LS) technique has long been a widely accepted and commonly used principle. This is because the simple calculation method is compared with other channel estimation methods. The Minimum Mean Squares Error (MMSE), which is developed later, is devised as the next step because the goal is to reduce the error rate in the communication system from the conventional LS technique which still has a higher error rate. These channel estimations are very important to modern communication systems, especially massive MIMO. Evaluating the massive MIMO channel is one of the most researched and debated topics today. This is essential in technology to overcome traditional performance barriers. The better the channel estimation, the more accurate it is. This paper investigated machine learning (ML) for channel estimation. ML channel estimations based on the Extreme Learning Machine (ELMx) group are also implemented. These estimations, known as the ELMx group, include Regularized Extreme Learning Machine (RELM) and Outlier Robust Extreme Learning Machine (ORELM). Then, it was compared with LS and MMSE. The simulation results reveal that the ELMx group outperforms LS and MMSE in channel capacity and bit error rate. Additionally, this paper has proven complexity for verified computational times. The RELM method is less time consuming and has low complexity which is suitable for future use in large MIMO systems.
Internationalization of higher education in times of crisis: search for the optimal concept

In order to find the optimal model of internationalization of higher education in crisis times, it is important to consider various theoretical and practical approaches. The first approach focuses on the global nature of education, on understanding the university as an international organization or as a global factory that produces knowledge and innovation. The second approach focuses on competition between universities and countries. The third approach focuses on national priorities and denies the role of globalization of higher education. A common feature of these three approaches is the desire of universities to improve the quality of education and the competitiveness of their graduates. Growing tensions on the global political arena and attempts to isolate Russia from the outside world reduce the relevance of the first approach in its original sense. The authors of the study conducted comparative and sociological research to define the modern internationalization model and find out whether high school students are prepared to participate in the international activities of the university in the new realities and what motivates them. Based on the results of the analysis of internal and external environment, the authors choose and describe as the most relevant the integrative model of internationalization, as it combines the most topical characteristics of modern approaches to the organization of international activities of the university.
The effect of the online learning model of Rumah Belajar Muhammadiyah (Rubelmu) on students’ vocabulary achievement at second grade of SMP Muhammadiyah 3 Bandarlampung

The research objectives were to find out (i) whether online learning using Rubelmu has a significant difference on students’ vocabulary mastery at SMP Muhammadiyah 3 Bandarlampung and (ii) the students’ perceptions of online learning using Rubelmu. This was quantitative research with one pretest-posttest design. The subjects use 30 samples taken from the second grade of SMP Muhammadiyah 3 Bandarlampung. The one group gathered from the result of pretest-posttest to measure the significance difference were collected through the pretest and the post test. Questionnaires were used to find the students’ perceptions. The data collected were compared by using SPSS. The outcome showed that online learning using Rubelmu had a significant difference on students’ vocabulary mastery. There was an improvement of students’ vocabulary mastery based on the gain of mean score score that was indicatively increased from 59.5 to 80.5. Questionnaire was distributed to measure the students’ perception about Rubelmu. As expected, the finding shows the students had a positive perception of online learning using Rubelmu.
DD-TIG at Constraint@ACL2022: Multimodal Understanding and Reasoning for Role Labeling of Entities in Hateful Memes

The memes serve as an important tool in online communication, whereas some hateful memes endanger cyberspace by attacking certain people or subjects.Recent studies address hateful memes detection while further understanding of relationships of entities in memes remains unexplored.This paper presents our work at the Constraint@ACL2022 Shared Task: Hero, Villain and Victim: Dissecting harmful memes for semantic role labelling of entities.In particular, we propose our approach utilizing transformerbased multimodal models through a visual commonsense reasoning (VCR) method with data augmentation, continual pretraining, loss reweighting, and ensemble learning.We describe the models used, the ways of preprocessing and experiments implementation.As a result, our best model achieves the Macro F1-score of 54.707 on the test set of this shared task 1 .
N-gram models for Text Generation in Hindi Language

Native language plays a vital role for communication. Hindi is preferred by most Indians and it is the fifth most spoken language in the world. Hence, to make User Experience more effective while interacting with Software Applications, we aim to build a Model using Natural Language Processing which takes a specific word as an input and predicts the subsequent words for completing the sentence.It will act as a tab- complete function in Hindi language. This will also pave a way as a use case for building chatbots, personal emails, applications which are content based like cooking recipes, blogs, etc. in Hindi Language.
Automatically Discarding Straplines to Improve Data Quality for Abstractive News Summarization

Recent improvements in automatic news summarization fundamentally rely on large corpora of news articles and their summaries.These corpora are often constructed by scraping news websites, which results in including not only summaries but also other kinds of texts.Apart from more generic noise, we identify straplines as a form of text scraped from news websites that commonly turn out not to be summaries.The presence of these nonsummaries threatens the validity of scraped corpora as benchmarks for news summarization.We have annotated extracts from two news sources that form part of the Newsroom corpus (Grusky et al., 2018), labeling those which were straplines, those which were summaries, and those which were both.We present a rule-based strapline detection method that achieves good performance on a manually annotated test set 1 .Automatic evaluation indicates that removing straplines and noise from the training data of a news summarizer results in higher quality summaries, with improvements as high as 7 points ROUGE score.
Layered Battleship Game Changer Password System

The paper presents a secure and usable variant of the Game Changer Password System, first proposed by McLennan, Manning, and Tuft. Unlike the initial proposal based on inadequately secure Monopoly and Chess, we propose an improved version based on a layered “Battleship” game resilient against brute force and dictionary attacks. Since the initially proposed scheme did not check for the memorability and usability of a layered version, we conducted an experiment on the usability and memorability aspects. Surprisingly, layered passwords are just as memorable as single ones and, with an 80% recall rate, comparable to other graphical password systems. The claim that memorability is the most vital aspect of game-based password systems cannot be disproved. However, the experiment revealed that the usability decreased to such a low level that users felt less inclined to use such a system daily or recommend it to others. Our study has once again shown that optimizing the password security–memorability–usability triangle is hard to achieve without compromising one of its cornerstones. However, the layered Game Changer Password System can be used in specific applications where usability is of secondary importance, while security and memorability augmented by its graphical interface are at the forefront.
A Novel High-Speed Key Transmission Technique to Avoid Fiddling Movements in e-Commerce

To prevent fraud in e-shopping, the High-Speed Key Transmission Technique (HSKT) is primarily focused on safe and effectual transactions of payments and product content.The privacy of users, traders, trader information, product content, and the payment procedure are all protected by this framework.High speed key transmission is also committed to providing an effective, sensible approach to privacy in order to minimize the complexity of applications and the load on consumers.This paper proposes a new key transmission technique that allows users to conduct multi-banking account transactions from a single location.The proposed system is devoted to preventing unwanted people from gaining access.The secret key is used to represent access mechanisms, allowing authorized users to verify the transaction if and only if its characteristics meet secret key access requirements.Finally, the proposed high-speed key transmission technique (HSKT) improves the chances of success and throughput by reducing the time it takes to decrypt and encrypt, the amount of energy it uses, and the average delay.
Analysis of influence of visual stimuli on perception of pain through use of virtual reality

According to GlaxoSmithKline survey, 93% of people surveyed experienced pain and 34% of them feel pain on a daily basis.Pharmacologically, pain treatment is classified based on its strength into no opioid; weak but opioid and strong but opioid medications.New approach to pain treatment aims to avoid using medication and what seems to be a promising way is use of virtual reality technology (VR).This paper aims to explore use of VR in alleviating pain experiencing in healthy participants.Feeling of pain was induced through use of bowl filled with water and ice cubes providing access to environment at CA. 0°C, and a bowl filled with water at 35°C.Measurements were performed in real environment and two virtual ones, displayed through use of HTC Vive HMD.Virtual sceneries were supposed to give sensations of environmental warmth and cold by showing two different rooms to participants.Sceneries were used in random order.During use of each scenery, the participant was supposed to submerge its hand in selected bowl.After selected time has passed, or when the participant could no longer keep its hand in water it was taken out, the pain sensation was reported by the participant, and while using thermometer we waited for the hand temperature to return to pre-measurement one.
Personalized Service for University Library Users Based on Data Tracking

This paper discusses the personalized service processing methods of university libraries, and proposes implementation methods, demand analysis and personalized service forms for university libraries based on data tracking technology.This paper uses big data behavior tracking and other technologies to analyze and track the user behavior information of user groups in Chinese university libraries through the Internet, find the points of interest to users, and then make point-to-point service recommendation.Through the investigation and analysis of a large number of library user demand data, personalized services are provided from the aspects of library personalized reading, book classification recommendation, personalized book evaluation technology design, etc.The construction of the reading service platform plays a positive role in demonstration and guidance.
Application of Computer Image Technology in Traditional 3D Movie Animation Production

In recent years, the development of animation industry has been accelerated and good results have been achieved in creating economic and social benefits. Traditional animation must be deeply innovated. Adapt to the trend of the times, make a good transformation, combine with computer image technology and solve different problems according to a scientific and reasonable model. In this paper, a simulation experiment is established. The human body is modeled using a “rod” model. The motion of the simulated model is obtained using computer imaging technology and the processed image is output. The processed image retains its original quality. In this paper, low-cost MEMS sensors are used for node sensing acquisition, and calibration is performed before acquisition to reduce the error of individual sensors and make the output value closer to the real value.
FACE RECOGNIZATION ATTENDANCE SYSTEMUSING MACHINE LEARNING TECHNIQUES

Nowadays education institutions are concerned with the regularity of student attendance who is present or absent. This is mainly concerned with the student’s academic performance which is affected by his or her attendance in the Institution. The methods of calling the attendance which by calling the student roll no, or by calling the name or by making the sign of the student in the paper. These may take more time and also be difficult for faculty. So, there is a necessity computerbased attendance system in which it maintains the student attendance record. Attendance is easy by rerecognization of students and marking attendance. The proposed system was designed by using CNN classifier and LBPH algorithms for face recognization. This system saves time for marking attendance.
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory

In natural language processing, multi-dataset benchmarks for common tasks (e.g., Su-perGLUE for natural language inference and MRQA for question answering) have risen in importance.Invariably, tasks and individual examples vary in difficulty.Recent analysis methods infer properties of examples such as difficulty.In particular, Item Response Theory (IRT) jointly infers example and model properties from the output of benchmark tasks (i.e., scores for each model-example pair).Therefore, it seems sensible that methods like IRT should be able to detect differences between datasets in a task.This work shows that current IRT models are not as good at identifying differences as we would expect, explain why this is difficult, and outline future directions that incorporate more (textual) signal from examples.
ORGANIZATIONAL CULTURE OF THE UNIVERSITY AS A FACTOR OF ITS COMPETITIVE ABILITY IN THE MARKET OF EDUCATIONAL SERVICES

The article analyzes the definitions of the organizational culture presented in the professional literature with in view of modern realities, when the university enters into a relationship of high competition in the market of educational services. It is shown that the organization culture of a modern university is a system of formal and informal socio-psychological regulators that perform a number of important functions – ideological, normative, imaginative, consolidated ones etc. All these regulators together are considered as an indicator of the status of the university and a factor of its competitiveness in the market of educational services. Among the important informal socio-psychological regulators of organizational culture of the modern university is social optimism. We consider social optimism as one of the “cross-cutting” socio-psychological factors in the development of the organization culture and an indicator of its quality. It is empirically studied that social optimism is connected with a number of indicators of the organization culture, including the psychological climate of the educational organization, the quality of the internal organization communications, the quality of the informative and business exchange, the organization of the educational process, the image and the symbols of the organization and some others. The main socio-psychological effects of social optimism are shown, which optimize the internal and external relations of the university and the performance of its functions. The results of the empirical study of students’ ideas about social optimism and the organization culture of their university are presented. It is shown that the studied phenomena of organizational culture are extremely important in the functioning of a modern university and require further scientific reflection.
Sex identification based on lipprint patterns: A Review

Background: Many researchers have conducted studies oflip prints to aid in human identification. Thedistinctiveness of the lip print pattern will be a distinguishing feature from one person to the next.Purpose: This study analyzes the dominant types and patterns of lips print in males and females.Results: Most males--7 research out of 20--were type III lip print pattern, and 6 out of 20 belong to the type II lipprint pattern. Femalesmainly were typed II pattern—11 out of 20, and type I pattern—7 out of 20.Conclusion: When the patterns are type I or type III, the sex of the individual can be easily identified; however,when the pattern is type II, the individual could be either a male or a female, with a higher probability of being afemale. Other forms of identification should be available to support sex identification in this circumstance.
A Software Package and Data Set for the Personal Protective Equipment Matching Problem during COVID-19

During the COVID-19 pandemic, Get Us PPE provided a platform aimed at connecting prospective donors of Personal Protective Equipment (PPE) to prospective recipients of PPE. Requests by donors and recipients were collected over time and, periodically, the PPE Matching Problem was solved in order to instruct each donor to ship a certain quantity of PPE to a given recipient. The objectives of the PPE Matching Problem include maximizing the recipients’ fill rate, minimizing the total shipping distance, minimizing the holding time of PPE, and minimizing the number of shipments of each donor. This paper presents a software framework to facilitate the development of methodologies to solve the PPE Matching Problem, and their testing on a real-world data set collected by Get Us PPE during the COVID-19 pandemic. Both software and data set are available on GitHub.
Alexander Ivanovich Krasovsky – librarian of the Imperial Public Library

The name of Alexander Ivanovich Krasovsky – the odious censor of the Nikolaev era – is well known to the enlightened reader. Like anecdotes, there are his unfounded nit-picking of writers and poets of the first quarter of the 19th century, interference in the personal lives of subordinates, the desire to suspect and exterminate sedition in the most harmless statements. At the same time, his impeccable service in the Imperial Public Library for 23 years, his participation in the solemn opening of the Imperial Public Library for readers on January 2 (14), 1814, and the preparation of reports for the first years of its activity remain in the shadow. Krasovsky’s role as one of the founders of reader studies and recommendatory bibliography in the first national library of Russia, its first historiographer deserves special attention.
Review of Mindfulness Uses, Influencing Factors and Application

Mindfulness is the practice of consciously focusing your attention on the present moment, without assessment, and is a skill developed through meditation or other exercises.Mindfulness stems from Sati, an important element of the Buddhist tradition, which is based on Zen and Tibetan meditation techniques.This study reviews mindfulness interventions, which is a method to enhance mindfulness levels including methods like MBSR, MBCT, and DBT.The factor that could influence mindfulness effect includes mindfulness attention, emotion, cognition, physiology, social relationship, and working performance.At the same time, this study also discusses mindfulness application in work place, study field, and daily life like eating behavior, and also further discusses the possible future direction of mindfulness.
Topology optimization of computer communication network based on improved genetic algorithm

Abstract The topology optimization of computer communication network is studied based on improved genetic algorithm (GA), a network optimization design model based on the establishment of network reliability maximization under given cost constraints, and the corresponding improved GA is proposed. In this method, the corresponding computer communication network cost model and computer communication network reliability model are established through a specific project, and the genetic intelligence algorithm is used to solve the cost model and computer communication network reliability model, respectively. It has been proved that GA can solve the complex problems of computer working environment better, which is 80% higher than the general algorithm, and can select the optimal scheme pertinently.