Reviewerly/exHarmony huggingface dataset:
Location-Sharing Protocol for Privacy Protection in Mobile Online Social Networks

Abstract Location-based services are becoming more and more popular in mobile online so-cial networks(mOSNs) for smart cities, but users' privacy also has aroused wide concern, such as locations, friend sets and other private information. At present, many location sharing protocols in mOSNs have been proposed, but these pro-tocols are inecient and ignore some security risks. In this paper, we propose a new location sharing protocol, which solves these two issues by using symmetric encryption and asymmetric encryption properly. We adopt the following methods to reduce the communication and computation costs: only setting up one loca-tion server; connecting social network server and location server directly instead of through celluar towers; avoiding broadcast encryption. We introduce dummy iden-tities to protect users' identity privacy, and prevent location server from inferring users' activity tracks by updating dummy identities in time. The details of security and performance analysis with the related protocols show that our protocol enjoys two advantages: (1) it's more ecient than the related protocols, which greatly re-duces the computation and communication costs; (2) it satises all security goals, however, most previous protocols only meet some security goals.
Choice of Regression Models in Time Series Data

Time series data possess distinct properties compared to cross section data. They have high temporal dependence, trend component and may have seasonal as well as cyclical patterns. A much-discussed issue in time series data is non-stationarity that highly influences the efficiency and consistency of regression estimates. In addition, time series regressions are most likely to suffer from spurious relationship. Thus, correct choice should be made regarding the regression models to obtain consistent estimates of the parameters and avoid spurious regression. This paper discusses the properties of time series data and the choice of appropriate regression models specifically in the context of finite samples. By discussing the relative strengths and limitations of the regression models that are used in time series data, this paper aims to contribute to the selection framework of regression models in time series analysis.
An Analysis of Logical Fallacy in Argument of Campaign Team of Joko Widodo and Prabowo Subianto

This research was aimed to find the types of logical fallacies in argument of campaign team debate of Joko Widodo and Prabowo Subianto. This research was descriptive qualitative. The data were analyzed by using theory of Damer (2009). The result of the research showed that of all sixty types of fallacy, there were only fifteen types were found. There are twelve types of fallacies produced by campaign team of Joko Widodo with twenty six occurrences and nine types of fallacies produced by campaign team of Prabowo with thirty three occurrences. Drawing the wrong conclusion fallacy was the most dominant type produced by campaign team of Jokowi with the proportion 19.23 %. The most dominant types produced by campaign team of Prabowo are using the wrong reasons and contrary-to-fact-hypothesis with the proportion 33.33%.Key words: Logical fallacy, argument, campaign team debate
INTERLINGUAL AND INTRALINGUAL ERRORS OF WRITING DESCRIPTIVE TEXT MADE BY THIRD SEMESTER STUDENTS OF ENGLISH EDUCATION DEPARTMENT SARJANAWIYATA TAMANSISWA UNIVERSITY YOGYAKARTA

The present study analyzes the types and sources of errors in descriptive text made by the third semester students of English Education Department. The study was conducted through descriptive qualitative method. Studentsâ€™ writing documents were analyzed. The data analysis technique involved several steps such as identifying, classifying, describing, and counting. The theory proposed by Dulay et al (1982) was used to analyze types of errors and the theory of Brown (2007) was employed to analyze the sources of errors. There were four types of errors and two sources of errors in the studentsâ€™ writing descriptive text. Those were omission, addition, misformation, and misordering errors. In omission, there were 41 errors (23.29%), addition there were 11 errors (6.25%), misformation , there wereÂ 85 errors (48.29%) and in misordering, there were 39 (22.15%). Whereas the sources of errors in this research were interlingual and intralingual errors. The total error of interlingual was 62 errors (35.22%) and intralingual was 114 errors (64.77%). So it can be concluded that the most dominant types of errors found in students writing was misformation error. While Intralingual error was the most frequent of sources of errors based on the finding in this research.
Corruption and Economic Growth in Sub-Saharan African Countries: An Empirical Analysis

Corruption is a disease in itself. Corruption recognizes no limitation and boundaries. It may infect the wealthy, and thus the poor, it may affect an organization and destroy a nation. 2019 Corruption Perception Index of Sub Saharan Africa gives an average of 32 scores, indicating that major corruption problems need to be resolved centering against petty bribery up until a high level of political corruption. This study reinvestigates the impact of corruption on economic growth in Sub-Saharan African countries by adopting alternative indicators of corruption based on the actual cases of corruption. Based on cross-sectional data from 47 countries, this study aims to improve the findings using instrumental variables to correct for endogeneity bias. The data is analyzed using the generalized method of moments (GMM). The findings indicate that corruption impedes economic growth of Sub-Saharan African countries. For most of the selected countries, the effect of economic development has been exacerbated by weak governance structures and the incidence of corruption in the region. The solution is needed for Sub-Saharan African economics to grow further in the long term.
Data Security Challenges in Healthcare System

This research paper assesses the challenges faced by the modern health care system and its adverse effects. Present literature on the challenges of data security in modern healthcare sector, user error in technology adoption, email scams with malware and other such challenges in the data security impeachment are being reviewed. This research article reviews different literatures and attempts to better explain and analyze the use of better data security in the modern healthcare system.
Study on the practice of chess by children aged between 8 and 10 years old online through contents specific to physical education

In the context of the development of information technology and computers we can talk about equipping schools with internet networks, intranet, computers, tablets and mobile phones which contain software that promotes the development of online education successfully and efficiently.The training of chess-playing students is an essential objective in obtaining good results in competitions.In this sense, the theoretical training must be harmoniously combined with the development of psychomotor qualities, and the teacher-trainer must demonstrate a rigorous ability to select methods and means from physical education and sports, as well as those specific to psychomotor skills, necessary to achieve the proposed objectives for an effective training of chess-playing students, both for classical and online competitions.The research was carried out over a period of two months (October, 2020 -December, 2020) on two groups of children aged between 8 and 10 years old, from School No. 17 Botosani, representing the experiment group (28 students) and the control group ( 28 students,too).The methods used in conducting the study were the observation method, the testing method and the statistical-mathematical method.Introduction: In this paper, we will study attention as a mental skill, which is the quintessence in chess lessons, achieving important goals such as volume, intensity and distributivity.The specific contents of physical education favour the improvement of the quality of attention, that is why the use of physical exercises frequently helps the brain to ignore the disturbing factors [1,2,3,5].The authors consider attention to be the psychic process by which a person's activity is oriented, spontaneously or voluntarily, towards an object or phenomenon from the external world or towards his/her own ideas, representations or activities.
MEDIA KARTU HURUF DALAM UPAYA MENINGKATKAN KEMAMPUAN MENGENAL HURUF PADA ANAK USIA DINI

In general, the objectives of improving learning to be achieved fromthis activity are: improving early childhood learning outcomes,improving early childhood language skills, improving children'sabilities in language activities, training children's thinking skillslogically and systematically and developing children's abilities inutilizing various media learning. This learning improvement is a typeof classroom action research that includes planning, action,observation, and reflection. The subjects of this study were 15students of RA As Salam in group B-I consisting of 5 boys and 10 girlswith the theme developed was the plant theme. The object of thisresearch is children's activities to find out how enthusiastic studentsare in recognizing letters through letter cards media. The resultsobtained in the ability to recognize letters have increased. Before theaction was taken, the level of the ability to recognize letters was stillvery low, after the first cycle class research was carried out it gained44% and in the second cycle it increased to 80%. After conductingresearch starting from pre-cycle, cycle I and cycle II, it was concludedthat the ability to recognize letters of the B-I RA As Salam groupchildren had increased through the use of letter cards media.
Transformation of archetypes and symbolic images in the psyche through group psychotherapy. Case study (part one).

The article presents the first part of the study of the results of group psychotherapeutic work on the example of one case. The procedure of group work and the task of the therapeutic program are described. The study involved a qualitative analysis in which individual psychological and behavioral characteristics of each of the participants in the group process were identified. The subject of discussion of qualitative analysis was a personal fairy tale, which was written in the process of working in a group with a special therapeutic program in two versions – initial and final.&#x0D; The personal fairy tale was based on Jung's analytical approach, represented and developed in the psyche of archetypes: Ego, Person, Shadow, Anima, Animus and archetypical and symbolic images: Spirit, Forest, Sleep and others. There is shown an illustration of the spontaneous objectivity of an archetype capable of unifying the personality, strengthening awareness ofthe intellectual situation and integrating the necessary information from the unconscious.&#x0D; Qualitative analysis allowed us to consider a personal fairy tale and understand what this text reports and how (the way of submission, distribution of time, events, space and characters). Qualitative analysis also proved that a personal fairy tale helped to identify and overcome problems, thanks to which it contributed to the formation and development of her personality.
Design Website for Car’s Faults Diagnosis using Artificial Intelligent Techniques

There are many people who do not have any experience in locating the car malfunction, and it is known that the malfunction can occur anywhere and at any time and the car may be in a place where it is difficult for the mechanic to arrive for the purpose of maintenance on the car. In this thesis, a system was developed for the purpose of diagnosing mechanical and electrical vehicle failures, which in turn helps inexperienced people diagnose car malfunctions in the event of a sudden malfunction in their cars. The proposed system in diagnosis consists of two parts, the first part in the collection of the largest number of faults and causes and create a table for these reasons where collected from sources in mechanical engineering, which numbered 320 malfunctions and then process this table using the algorithm Particle Swarm Optimization (PSO), where this algorithm extracted the most common faults, which numbered 231 types of faults i.e. 1386 rule or cause. The second part of the research is the applying of the Expert System to the data generated by the PSO process. The expert system works as follows, which is to display a set of questions to the user which through the user's answers the system can determine the location of the fault and also how to fix it.
Yogyakarta Lecturers' Experience in Using Mobile Phone in English Language Teaching

This study is aimed at investigating lecturers’ experience in using mobile phone in English teaching practice. Employing qualitative method using Creswell (2014), the study collected data through in-depth-interview and analyzed data through several steps including data preparation and organization, data reading, data coding, data description, data interpretation, and data presentation. The result of the study indicated that the lecturers mostly implemented MALL and utilized mobile phone for three main purposes, namely instructional need, content understanding development, and communication. However, it was found that problem of internet connection became a barrier to fully implement MALL in ELT.
Topic Familiarity and Genre Familiarity: Which One Contributes More to Listening Comprehension?

The role of prior knowledge has been acknowledged in realm of English Language Teaching, including teaching Listening. Due to the profound role of prior knowledge, experts and practitioners compromise that the first step of teaching listening is building the students’ prior knowledge. However, there is dilemma which background knowledge has the strongest relationship to students’ listening comprehension, either content schemata (Topic Familiarity) or formal schemata (Genre Familiarity). Therefore, this study aimed at investigating the relationship and contribution of topic and genre familiarity to listening comprehension and eventually determining the better predictor of listening comprehension. Furthermore, fourth semester ELT students at Universitas Negeri Malang who were taking advance listening course participated as the subjects in this study. The findings of this study revealed that the contribution of topic familiarity was significantly higher than genre familiarity. This result also pointed out that topic familiarity was better predictor of listening comprehension.
Book trade bibliography of Great Britain

The article highlights the historical stages of development of the book trade bibliography and Books in Print systems in Great Britain.&#x0D; It is noted that the first and most famous attempt to compile a book trade catalog dates back to the end of the XVI century and belongs to the englishman E. Montsell, who prepared and published the "Catalog of English Printed Books", which became a model of cataloging for many subsequent authors of bibliographic works.&#x0D; It was found that the industrial revolution and the rapid development of industrial centers in the XVIII century, caused a rapid increase in the number of printing houses, publishing and book trade firms, thanks to which the book trade bibliography of Great Britain received a new quality — a stable periodicity of preparation and publication of bibliographic materials, as well as placement of bibliographic information on periodicals. Numerous samples of the book trade bibliography in chronological section are considered in detail, as well as the activities of the most famous companies in the production of Books in Print catalogs.
MALUKU PROVINCE INTRODUCTION APPLICATION USING ANDROID-BASED SMARTPHONE

The fort as a place that can be used as a historical source can be utilized as much as possible by utilizing existing technology so that the functions and benefits obtained are more optimal and efficient. Often when you are in a new place and need information about the place, many people such as people outside the area or local people have difficulty asking where or to whom. In Maluku province, there is a historical fort that the general public should know about the historical information of the fort so that they can take advantage of it. It will be easier if there is an application that can provide information on historical forts in Maluku province, which are presented in the form of images, text, and video. and ADT (Android Development Tools) to implement the application design into an android application.
A Markov Chain Model for Determining Language Extinction

An absorbing Markov chain model used to capture the dynamics of language extinction is presented in this article. The state space consists of language ability and language inability. Maximum likelihood estimates of the intergenerational transmission probabilities were obtained over three generations and the evolution of the absorbing Markov chain was studied at generational epochs. An empirical study of some of Nigeria’s indigenous languages was undertaken and it was shown that some of these languages are on a steep downward keel that may result in extinction in the absence of external intervention. Most of the languages surveyed also exhibited low levels of indigenous language literacy. Analysis of the ensuing absorbing Markov chains showed declining intergenerational transmission, with possible absorption of the chain within a few generations, in some cases.
FOCUS: Familiar Objects in Common and Uncommon Settings

Standard training datasets for deep learning often contain objects in common settings (e.g., "a horse on grass" or "a ship in water") since they are usually collected by randomly scraping the web. Uncommon and rare settings (e.g., "a plane on water", "a car in snowy weather") are thus severely under-represented in the training data. This can lead to an undesirable bias in model predictions towards common settings and create a false sense of accuracy. In this paper, we introduce FOCUS (Familiar Objects in Common and Uncommon Settings), a dataset for stress-testing the generalization power of deep image classifiers. By leveraging the power of modern search engines, we deliberately gather data containing objects in common and uncommon settings in a wide range of locations, weather conditions, and time of day. We present a detailed analysis of the performance of various popular image classifiers on our dataset and demonstrate a clear drop in performance when classifying images in uncommon settings. By analyzing deep features of these models, we show that such errors can be due to the use of spurious features in model predictions. We believe that our dataset will aid researchers in understanding the inability of deep models to generalize well to uncommon settings and drive future work on improving their distributional robustness.
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach

Reinforcement learning is widely used in applications where one needs to perform sequential decisions while interacting with the environment. The problem becomes more challenging when the decision requirement includes satisfying some safety constraints. The problem is mathematically formulated as constrained Markov decision process (CMDP). In the literature, various algorithms are available to solve CMDP problems in a model-free manner to achieve $\epsilon$-optimal cumulative reward with $\epsilon$ feasible policies. An $\epsilon$-feasible policy implies that it suffers from constraint violation. An important question here is whether we can achieve $\epsilon$-optimal cumulative reward with zero constraint violations or not. To achieve that, we advocate the use of randomized primal-dual approach to solve the CMDP problems and propose a conservative stochastic primal-dual algorithm (CSPDA) which is shown to exhibit $\tilde{\mathcal{O}}\left(1/\epsilon^2\right)$ sample complexity to achieve $\epsilon$-optimal cumulative reward with zero constraint violations. In the prior works, the best available sample complexity for the $\epsilon$-optimal policy with zero constraint violation is $\tilde{\mathcal{O}}\left(1/\epsilon^5\right)$. Hence, the proposed algorithm provides a significant improvement as compared to the state of the art.
The socializing influence of Ivan Ohiienko's scientific work on the educational process of student youth

In this article, the author rightly pays attention to the need to deepen the process of education of pupils and students in our days, that is, days when the democratization of the National School is deepening, when there is an active transformation of moral and spiritu-al values, when there is a leveling of the process of education of both pupils and students.In this context, it is of particular importance to refer to the scientifi c heritage of scientists-teachers of the relatively recent past, which are the years of the XX-th cen-tury for us. It is in their works that the foundations of ideas and conceptual provisions of moral, ethical and ideological-spiritual education are laid, the mastery of which makes it possible to determine the guidelines for development in modern conditions.In this context, the author of the article pays special attention to the achievements of the great scientist of the recent past, teacher I. Ohiienko.Based on the research and study of the works of I. Ohiienko, the author of the article revealed their socializing infl uence on the educational process of modern stu-dents and students. It is this scientist who emphasizes the importance of infl uence in the upbringing of the individual of school, family and religious education.The valuable content of the article is that its authors, based on the works of I. Ohiienko, revealed ways and means of infl uencing the educational process of mod-ern students and students. At the same time, the author of the article concludes that the content of education in a national school should be defi ned as a system of fundamental knowledge about one’s People, Features of its national character, psychology, histori-cal and cultural experience, etc.The author of the article also pays special attention to I. Ohiienko’s justifi cation of the need for spiritual and national education as such, which is most refl ected in the formation of a child as a person with a certain social worldview