Reviewerly/exHarmony huggingface dataset:
Pengaruh Bahasa Asing terhadap Bahasa Indonesia di Tengah Arus Globalisasi

AbstractIn the era of globalization, such as at present the influence of foreign languages, especially English as a global language, is difficult to avoid. This hegemony appears everywhere and almost touches all aspects of the use of Indonesian. The use of foreign languages (English) is increasingly symptomatic. However, this symptom does not have to be allowed because it damages the growth and development of the Indonesian language. Indonesian language must still exist and become a tool of national pride and must remain sovereign in its own country. For this reason, the positive attitude of the Indonesian people must be encouraged to remain loyal to their national language. The attitude of nationalism does not need to be depleted due to globalization. Internationalization in the era of globalization in the Indonesian context does not have to be interpreted as pengingrisan Indonesian, but aimed at efforts to match, interpret, and absorb. This study used descriptive qualitative method. Through this research, it is expected to foster public awareness to continue to uphold the Indonesian language as a National language and the identity of the people, so that Indonesian language still exists even though foreign languages are being used by the people of Indonesia.
Key Feature Extraction for Video Shot Boundary Detection using CNN

Now days as the progress of digital image technology, video files raise fast, there is a great demand for automatic video semantic study in many scenes, such as video semantic understanding, content-based analysis, video retrieval. Shot boundary detection is an elementary step for video analysis. However, recent methods are time consuming and perform badly in the gradual transition detection. In this paper we have projected a novel approach for video shot boundary detection using CNN which is based on feature extraction. We designed couple of steps to implement this method for automatic video shot boundary detection (VSBD). Primarily features are extracted using H, V&amp;S parameters based on mean log difference along with implementation of histogram distribution function. This feature is given as an input to CNN algorithm which detects shots which is based on probability function. CNN is implemented using convolution and rectifier linear unit activation matrix which is followed after filter application and zero padding. After downsizing the matrix it is given as a input to fully connected layer which indicates shot boundaries comparing the proposed method with CNN method based on GPU the results are encouraging with substantially high values of precision Recall &amp; F1 measures. CNN methods perform moderately better for animated videos while it excels for complex video which is observed in the results.
Assessment of Students’ Academic Achievements in Contemporary School

The author shares the view of researches who state that we lack clarity on learning outcomes; do not have appropriate tools to track student progress, use assessment instruments that do not match corresponding learning objectives. This leads to misunderstanding among Ministry of education, school principals, parents, teachers, and students. Traditionally all these groups support the use of standardized tests and consider them the indicator of knowledge assimilation. At the same time in the process of learning students must develop not only practical grammar, vocabulary, phonetic skills and macro reading, speaking, listening, and writing skills. They must master cognitive skills to be able to efficiently gain knowledge, absorb information, analyze it, and evaluate new ideas proceeding from personal needs and goals. These critical and creative thinking skills should also become the object of assessment. Taking into account learning aims, we set up two standards that might be applied at the English lesson: the macro skills assessment standard and the cognitive skills assessment standard. A skills assessment index (SAI) is provided. The standard for assessing essay-writing skills (SAWS) is designed, rubrics (a scoring guide used to evaluate the quality of students' response for “excellent”, “good”, “satisfactory” marks) are suggested. With the purpose of measuring the effectiveness of the designed standard and SAI, the experiment was carried out. The obtained results proved the working hypotheses. The following conclusion is drawn. Common understanding of the approaches to the assessment of different kinds of activities enhances students' positive emotions, fosters their motivation to study better and demonstrate academic achievement not only to groupmates, but also to parents, teacher, and school administration.
NEOINSTITUTIONALISM AS A METHODOLOGY FOR STUDYING THE EFFECTIVENESS OF HIGHER EDUCATION MANAGEMENT

Objective of the study is identification of the potential of the neoinstitutional approach for studying the tools of state management in improving the effectiveness of higher education. The methodological basis of the research is the neoinstitutional theory of Douglas North, which contains sufficient cognitive potential to study the effectiveness of the use of managerial tools in the management practices of higher education. Research results. The neoinstitutional paradigm has a high potential for studying the tools of state management in improving the effectiveness of higher education. This conclusion is supported by several reasons. First, general methodological issues. The theory of new institutions solves the conflict that has long been formed in sociology between the originally inherent emphasis on the search for criteria of social stability, social balance, and social stability, and the current shift in emphasis on individual requests and needs of individual actors, which potentially increase the conflict potential of society. Secondly, there is a common subject space between neoinstitutionalism and the topic of the stated problem, which is expressed in the commonality of the tasks to be solved, the similarity of methods, thematic spectra, and the commonality of the conceptual series. Prospects of the study. In the future, we plan to explore real managerial management practices aimed at improving the efficiency of higher education in Russia.
Adaptive and intelligent framework of data protection techniques for cloud storage

Mobile phone cloud application users are hesitating to move their information to the cloud service supplier due to security. When People try to store lot of files, they need to check the storage limit. In the proposed technique user's original data is taken, watermarking is applied and then the data is compressed to reduce the storage size of the data. Then some secrete message is embedded with the image for the authentication and these authenticated data is involved in security processes of Specter encryption. This encrypted data is divided into n pieces and each piece of data is going to be stored in a different storage location of the cloud. When intruder wants to take the data it is impossible because different location of the data pieces and encryption technology. When downloading the reversed process is applied and original data is received. The proposed method uses J-bit encoding (JBE) for compression.
Evaluating Course Completion, Appropriateness, and Burden in the Understanding Multiple Sclerosis Massive Open Online Course: Cohort Study (Preprint)

<sec> <title>BACKGROUND</title> Massive open online course (MOOC) research is an emerging field; to date, most research in this area has focused on participant engagement. </sec> <sec> <title>OBJECTIVE</title> The aim of this study is to evaluate both participant engagement and measures of satisfaction, appropriateness, and burden for a MOOC entitled Understanding Multiple Sclerosis (MS) among a cohort of 3518 international course participants. </sec> <sec> <title>METHODS</title> We assessed the association of key outcomes with participant education level, MS status, caregiver status, sex, and age using summary statistics, and 2-tailed &lt;i&gt;t&lt;/i&gt; tests, and chi-square tests. </sec> <sec> <title>RESULTS</title> Of the 3518 study participants, 928 (26.37%) were people living with MS. Among the 2590 participants not living with MS, 862 (33.28%) identified as formal or informal caregivers. Our key findings were as follows: the course completion rate among study participants was 67.17% (2363/3518); the course was well received, with 96.97% (1502/1549) of participants satisfied, with an appropriate pitch and low burden (a mean of 2.2 hours engagement per week); people living with MS were less likely than those not living with MS to complete the course; and people with a recent diagnosis of MS, caregivers, and participants without a university education were more likely to apply the material by course completion. </sec> <sec> <title>CONCLUSIONS</title> The Understanding MS MOOC is fit for purpose; it presents information in a way that is readily understood by course participants and is applicable in their lives. </sec>
Digital Image Processing based Surface Area Calculation

The objective of current work is nondestructive measurement of surface area of regular or irregular shape just from image. Surface area calculation is mathematical part which needs to remember number of formulas and all for regular shape. It becomes more tedious if the shape whose area is to be calculated is irregular. In some cases such as mountain or lake measurement of dimension is also cumbersome task. To find the solution for such cases in today’s world of automation, the proposed work describes reference object based area calculation system which is based on different techniques of digital image processing. In this we have to click an image of object (whose area is to be calculated) along with one reference object with known surface area. Then the proposed system will perform image enhancement and segmentation operation and finally calculate the surface area of any 2-D surface. It is observed that the values obtained are having with good correlation with actual surface area values.
Investigating the accuracy of free-text keystroke dynamics authentication in touchscreen devices

Security on smartphones has become a substantial topic since the amount of security relevant data and information stored on them has been increasing. While the password is commonly used as a traditional approach for user authentication, it suffers from a security-usability trade-off dilemma. Accordingly, the keystroke dynamics authentication approach can provide ease of use to the user as well as robust security. This paper investigates the feasibility of utilising user-typing behaviours on touchscreen keypads for the authentication process via free-text keystroke dynamics. In constructing the timing vectors, three timing features are used: hold time, flight time and digraph duration. Additionally, Euclidian and Manhattan distances were utilised to find the degree of similarity between the user's login data and user's profile. An Android application was developed and evaluated through an experimental study. Thus, we achieved a very encouraging result, as we were able to show that applying the free-text method indeed influences the accuracy of user authentication on a touchscreen device.
Preprocessed Text Compression Method for Malayalam Text Files

The increasing importance of Unicode for text files implies an increase in storage space required for data and the time for the transmission of data, with a corresponding need for compression of data. Conventional compressors fair purely on UTF-8 texts, where each character can span multiple bytes. Malayalam which is one among the four major languages of the Dravidian family, is represented by using Unicode characters. The contribution of this paper is a reversible transformation mapping of the input to reduce the actual size of the input file before a general purpose compression method. After the preprocessing, LZW compression achieves more compression to Malayalam text files containing any characters including ASCII characters. This method can be extended to any native language files containing mostly the characters of only one script.
Effort estimation of web-based projects: a systematic review

Lately, the importance of effort estimation of web-based projects has increased. Due to the web project's dynamic changes, it becomes more difficult to use a particular estimating method. According to the CHAOS Report 1994, only about 16.2% of the web projects are successfully developed in a given budget and time. In the first half of this study, we have provided a systematic analysis of the effort estimation of web-based projects. This would be useful for users to gain more knowledge on effort estimation in web-based projects since very few research works have been carried out in this field. Nowadays, web projects are more complex and data-centric. So, the inclusion of the database in the estimation process becomes necessary. Secondly, we proposed an estimation model, where the database is taken into consideration for its effort estimation. The result that we found after utilising the model gave more accurate effort estimation.
Aircraft Inertial Measurement Unit Fault Diagnosis Based on Adaptive Two-Stage UKF

In the case of nonlinear systems with random bias, the Optimal Two-Stage Unscented Kalman Filter (OTSUKF) can obtain the optimal estimation of system state and bias. But it requires random bias to be accurately modeled, while it is always very difficult in actual situation because the aircraft is a typical nonlinear system. In this paper, the faults of the Inertial Measurement Unit (IMU) are treated as a random bias, and the random walk model is used to describe the fault. The accuracy of the random walk model depends on the degree of matching between the covariance of the random walk model and the actual situation. For the IMU fault diagnosis method based on OTSUKF, the covariance of the random walk model is assigned with a constant matrix, and the value of the matrix is initialized empirically. It is very difficult to select a matching matrix in practical applications. For this problem, in this paper, the covariance matrix of the random walk model is adaptively adjusted online based on the innovation covariance matching technique, and an adaptive Two-Stage Unscented Kalman Filter (ATSUKF) is proposed to solve the fault diagnosis problem of the IMU. The simulation experiment compares the IMU fault diagnosis performance of OTSUKF and ATSUKF, and verifies the effectiveness of the proposed adaptive method.
RETRACTED CHAPTER: Document Representation

Abstract The authors have retracted this Chapter because significant portions of the text are duplicated from [1] and [2]. The authors apologise to readers for this error. All authors agree with this retraction.
Reliability of Hijacked Journal Detection Based on Scientometrics, Altmetric Tools and Web Informatics: A Case Report Using Google Scholar, Web of Science and Scopus

This paper presents a case report on detecting hijacked journals. Towards identification of a fake journal website and preventing a hijacked paper, we use different tools including Google Scholar - as an altmetric tool, Web of Science (WoS) and Scopus, both as scientometric databases, to distinguish fake website from a legal (printed) journal. Our evaluation shows that analysis of a doubtful website should be done not just using Google Scholar. In fact, use of scientometric tools for tracking prior publications of the journal is compulsory. Main result of this case study is that in some uncommon cases, fake websites may convince scientometric databases in order to be fully/partially indexed along with an abstracting of their hijacked papers. Therefore as a results, we should check both WoS and Scopus for verifying a fake website.
Introduction

Countries around the world are commonly troubled with the problem of hate speech, but their responses vary. Constitutional law scholars often use two models for analysis: the US model, which hesitates to regulate hate speech not directed at particular persons, and the European model, which favours regulation, including of hate speech not directed at particular persons. Most governments regulate hate speech broadly, meaning that the European model has so far held sway, but this simple classification has been under reconsideration recently. On the one hand, the United States strictly regulates hate speech targeting particular individuals and it does so by means of hate crime or harassment laws. It is also said to adopt a rigid distinction between private and public spheres, tolerating a wide variety of private regulation in broadcasting, universities, workplaces, and so on. On the other hand, some European nations are unwilling to execute regulatory laws, thus watering down their effect. The contrast between the US and European models is useful for researchers.
Millennials’ Mentality on School Bullying Through R Programming

This study focusses on the millennials’ mentality on school bullying, projecting the influence of bullying on their behavior thereby creating awareness and avenues for controlling this in the campuses. The statistical tools and the methods of Data Collection are used effectively to enable the researcher to arrive at valid conclusions
Internal Control as a Catalyst for Clean Audit Outcomes in the Local Government The Moderating Role of Information Technology

There is a pressing need for effective monitoring of internal control systems to ensure that municipalities improve and sustain audit outcomes. In this context, there is the need for the management of municipalities to monitor the performance and maintenance of the adequate systems of internal controls available. The objective of this study is to examine the moderating role of information technology (IT) system governance in internal control on the achievement of clean audit outcome. The paper applied a quantitative approach with the aid of simple regression analysis. Data analysis was conducted in two phases; the first phase without IT governance and the second phase introduced the IT governance. Results from the analysis showed that the first phase without the IT system governance was insignificantly related to clean audit outcome; but the second phase with the IT system governance showed a p-value of less than 0.01 which shows that the moderating role of IT governance improved the model to be significantly related to clean audit outcome. The practical implication is that the effectiveness of municipal internal control toward an improved audit outcome can be enhanced significantly if information technology system governance is installed and managed efficiently in local municipalities. Future researcher on municipal internal, provincial or national control should include the IT system governance in their research model.
A BLAST-based, Language-agnostic Text Reuse Algorithm with a MARKUS Implementation and Sequence Alignment Optimized for Large Chinese Corpora

Until relatively recently, following the life of a phrase or passage from its origin as it is quoted, reused, and remixed through a large corpus of Chinese writing was extremely difficult. Yet identifying how and when a document is appropriating materials from earlier works is critical in many domains. Establishing the source of a given sequence of words is not only important in industry (particularly in patent law), journalism, and academia (to detect and prevent plagiarism), but it is also valuable as an interpretive mechanism for those who study literary or historical documents. Developing consistent ways of tracing information movement through a corpus of documents helps scholars understand information networks, intellectual trends, and quotation practices.
DISTANCE LEARNING IN UNIVERSITY: NEW DIDACTIC SOLUTIONS

The article is devoted to understanding the processes of higher education modernization associated with the forced mass transition of Russian universities to a distance learning format in connection with measures to prevent a new coronavirus infection. The purpose of this article is to analyze the foundations and meanings of modernizing didactic solutions for distance learning. From the point of view of post-non-classical methodology, the grounds for modernizing didactic solutions in distance educational interaction are analyzed. The analysis of the challenges of the era of universal distance and the answers to these challenges by domestic and foreign scientific and pedagogical research and educational practices was carried out. The opinion is justified that modern challenges set up new issues that can only partially be solved using the classical didactic theory. The formation of the boundaries of applicability of traditional didactic solutions and pedagogical means is updated, the analysis of the directions of their change is carried out. The article describes the authors' own experience in organizing distance learning, on the basis of which it is concluded that the key aspect of the education content in distance learning is not remembering and reproducing information, but its understanding and interpretation. In accordance with this conclusion, new digital didactic solutions for traditional educational formats are presented. The analysis of theoretical and practical aspects of distance learning focuses on the fundamental nonlinearity of the modern educational process, on the possibility of the individual choosing the strategy and tactics of his educational activities. The article continues the discussion on the methodology and practice in the field of didactics of teacher education, which was presented earlier on the pages of the journal «Yaroslavl Pedagogical Bulletin» and as part of the activities of the inter-university research center «New Didactics».
Par Pharm., Inc. v. Hospira, Inc. United States Court of Appeals of the Federal Circuit, 2020 No. 2020-1273, 2020 WL 6846347 (Non-precedential)

Biotechnology Law ReportVol. 40, No. 2 As presented by Chris HolmanPar Pharm., Inc. v. Hospira, Inc. United States Court of Appeals of the Federal Circuit, 2020 No. 2020-1273, 2020 WL 6846347 (Non-precedential)Edited for Biotechnology Law Report by CHRISTOPHER M. HOLMAN*Published Online:30 Mar 2021https://doi.org/10.1089/blr.2021.29221.cmhAboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 40Issue 2Apr 2021 InformationCopyright 2021, Mary Ann Liebert, Inc., publishersTo cite this article:Par Pharm., Inc. v. Hospira, Inc. United States Court of Appeals of the Federal Circuit, 2020 No. 2020-1273, 2020 WL 6846347 (Non-precedential).Biotechnology Law Report.Apr 2021.133-138.http://doi.org/10.1089/blr.2021.29221.cmhPublished in Volume: 40 Issue 2: March 30, 2021Online Ahead of Print:March 2, 2021PDF download
Multi-UAV Cooperative Obstacle Avoidance and Surveillance in Intelligent Transportation

In intelligent transportation system, UAV surveillance plays an important role, and it has wide applications in traffic detection and order management, etc. However, the interference of extensive buildings and inaccessible regions in the urban environment directly lead to the failure of the surveillance task. Aiming at this issue, this paper proposes a method of multi-UAV UAV Cooperative Obstacle Avoidance and Surveillance (COAS). The ellipse tangent method is used to avoid obstacles for the interference of urban obstacles. Furthermore, taking into account the cooperation of multi-UAV formation, the cooperative model based on moving cost and formation stability is established. Due to the timeliness requirement of multi-UAV cooperative surveillance task, we use a sparrow search algorithm with fast convergence speed and strong optimization capability to solve the cooperative model. Finally, the simulation experimental results in an urban environment with obstacle information demonstrate the effectiveness of the proposed method in tackling the issues of cooperative obstacle avoidance and target surveillance.