Reviewerly/exHarmony huggingface dataset:
“Drowning in data”: personal and institutional crises as the result of extensive digitalization

The following work is a commentary on the article “Digitalization challenges for technogenic civilization” written by Evgeniy Maslanov. The main focus here is on an individual, facing the new experience of digital world as an average user and a researcher at the same time. New technical tools, which have been put into use throughout history of humanity, require continual redefinition by a human being of himself/herself in the world and in multiple professional fields. Nevertheless, one of the most drastic issues in question is whether a virtual personality could be considered as an “extension” of a real life human, or it represents a “digital twin”. With any position accepted, digital systems initiate a certain order of power relations, where digital “footprints” assemble into personal biographies. This fact challenges not only personal privacy, but also existential conti-nuity of humanity. At the level of scientific research, one of the major disputes centers on data collection and its claim for the leading methodological strategy of science today. This study argues that the dispute only illustrates transitional period related to approbation of new data algorithms. Therefore, it is in no way a substitution of theoretical level of science with empirical knowledge. Nevertheless, the issue that caught E. Maslanov’s attention is extremely valuable. The new “big data” tools require competence, which becomes the key factor of adequate methodological improvements and scientific conceptualization.
An Automatic Partitioning of Gutenberg.org Texts.

Over the last 10 years, the automatic partitioning of texts has raised the interest of the community. The automatic identification of parts of texts can provide a faster and easier access to textual analysis. We introduce here an exploratory work for multi-part book identification. In an early attempt, we focus on Gutenberg.org which is one of the projects that has received the largest public support in recent years. The purpose of this article is to present a preliminary system that automatically classifies parts of texts into 35 semantic categories. An accuracy of more than 93% on the test set was achieved. We are planning to extend this effort to other repositories in the future.
Firework Launcher Application System In Dangdut Orches Show Using Arduino Based On Android

One of the current trending phenomena is performances or celebratory activities that are enlivened by lighting fireworks. The ignition of fireworks is usually done using a remote firework lighter (firing system) or even manually if the lighter is having problems/not working. It is still possible for operator accidents to be burned by fireworks. In addition to security issues, remote fireworks lighters are quite expensive. Therefore, to avoid security problems and the relatively high price, it is necessary to create or build a firework launcher system that is safe and inexpensive. The purpose of this study is to create a firework launcher application system for dangdut orchestra performances using an Android-based Arduino. In this study, an application has been produced that can make it easier for operators of fireworks lighters in dangdut orchestras to light fireworks more safely and cheaply. This application has been running smoothly and without problems. The benefit of this research is that the results of this application design can be used as a reference for other related research in the future.
PENGOLAHAN DATA SEDERHANA MENGGUNAKAN R STUDIO

Simple data processing using the r studio programming language is a data processing process that needs to be done to convert raw data into information. The data processing method uses data acquisition, data input, data selection, division of study programs. split data using k-fold cross-validation, text word cloud model, and model evaluation. Secondary data was acquired in excel format in May 2021, the number of datasets is 71 records with 5 variables, namely number, name, gender, faculty, and study program (Prodi). Data selection aims to select variables that are needed and variables that are not needed are deleted, so that the results of data selection have 2 variables, namely Name and Study Program and a dataset of 71 records. K-fold cross-validation has training data 54 records and testing data 17. The text mining model is visualized with word cloud data, the results of the word cloud testing data test show that there are 4 most important words, including STI with a frequency value of 5, Teacher a frequency value of 4 , “Law” frequency value 3, and “Agriculture” frequency value 2.
Proposer of the Vote of Thanks to Dong <i>et al.</i> and Contribution to the Discussion of ‘Gaussian Differential Privacy’

Journal of the Royal Statistical Society: Series B (Statistical Methodology)Early View DISCUSSION CONTRIBUTION Sebastian Dietz's contribution to the Discussion of ‘Gaussian Differential Privacy’ by Jinshuo Dong, Aaron Roth, and Weijie J. Su Jinshuo Dong, Search for more papers by this authorAaron Roth, Search for more papers by this authorWeijie J. Su, Search for more papers by this author Jinshuo Dong, Search for more papers by this authorAaron Roth, Search for more papers by this authorWeijie J. Su, Search for more papers by this author First published: 04 August 2021 https://doi.org/10.1111/rssb.12455Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation
Hybrid approach to detecting symptoms of depression in social media entries.

Sentiment and lexical analyses are widely used to detect depression or anxiety disorders. It has been documented that there are significant differences in the language used by a person with emotional disorders in comparison to a healthy individual. Still, the effectiveness of these lexical approaches could be improved further because the current analysis focuses on what the social media entries are about, and not how they are written. In this study, we focus on aspects in which these short texts are similar to each other, and how they were created. We present an innovative approach to the depression screening problem by applying Collgram analysis, which is a known effective method of obtaining linguistic information from texts. We compare these results with sentiment analysis based on the BERT architecture. Finally, we create a hybrid model achieving a diagnostic accuracy of 71%.
Perancangan Sistem Informasi Pendataan Pegawai pada Dinas Lingkungan Hidup Salatiga Berbasis Web Menggunakan Framework Laravel

The Environmental Office in the City of Salatiga is a government agency which engaged in the environmental sector. The employee data collection system currently used is still manual by recording data of employee with Microsoft Excel afterwards the data will be stored in a form of archive or printed. By using an ancient method this is certainly less effective due to it will take a lot of time and make the data will be lost easily. Therefore, we need a web-based information system to make all easier for officers to collect employee data. In this study a web-based employee data collection of information system was built using a Laravel Framework. The Laravel Framework is used to make a build system convenient to implement and already provides any kind of features such as database migration and integration unit testing support to supply an easiness for the developers to build applications. This study aims to create an employee data collection information system so that it can be used to facilitate the officers to collect the data of employees at the Environmental Office in the City of Salatiga. The result of this study is showed that by using this kind of application, performance of employee can be improved efficiently.
Key Information Extraction From Documents: Evaluation And Generator.

Extracting information from documents usually relies on natural language processing methods working on one-dimensional sequences of text. In some cases, for example, for the extraction of key information from semi-structured documents, such as invoice-documents, spatial and formatting information of text are crucial to understand the contextual meaning. Convolutional neural networks are already common in computer vision models to process and extract relationships in multidimensional data. Therefore, natural language processing models have already been combined with computer vision models in the past, to benefit from e.g. positional information and to improve performance of these key information extraction models. Existing models were either trained on unpublished data sets or on an annotated collection of receipts, which did not focus on PDF-like documents. Hence, in this research project a template-based document generator was created to compare state-of-the-art models for information extraction. An existing information extraction model Chargrid (Katti et al., 2019) was reconstructed and the impact of a bounding box regression decoder, as well as the impact of an NLP pre-processing step was evaluated for information extraction from documents. The results have shown that NLP based pre-processing is beneficial for model performance. However, the use of a bounding box regression decoder increases the model performance only for fields that do not follow a rectangular shape.
Implementation of Information System in Indonesian Traditional Beverage Businesses

This study aims to apply the information system to every business owner who can inform businesses beverage container business through information technology. The function of this information system's application is for business owners and customers interested in buying products business. This study is an application of information systems in the Indonesian Traditional Beverage Business. This study's method was conducted using qualitative descriptive writing method of collecting data through literature study and observation to the growing beverage business owners. Information system development is conducted using the waterfall method. The results of this study show an overview of how the information system is expected by the business owner as well as the beverage business impact that can provide the quality of the business product beverage business is being run. The conclusion is that there is a large information container such as a website application applied to the Indonesian traditional beverage business so that website visitors can see, buy, or provide suggestions or comments regarding the already available products
Comunicare la catalogazione: un’indagine sulle aspettative degli studenti e sulle esigenze professionali

The article presents the results of a questionnaire proposed to students and former students of the Vatican School of Library Science on the evaluation of the cataloguer’s tools. The results bring out interesting points of reflection on the training needs, on the integration between theory and practice in teaching and on the evaluation of the working tools available to librarians.
AN EXPERIMENTAL STUDY ON ROBOT WORKING IN REAL WORLD

The robot requires reaching the target destination with minimum time and at the same time, the distance should be minimal. Path planning problems include find out a feasible path from the starting point to the final point. Normally, there are several feasible paths for a robot to reach the destination from the start position, but in circumstance, the best feasible path is chosen based on some guideline such as shortest distance, smoothness of the path, minimum energy consumption, etc. or the most adopted criteria is the shortest distance with the minimal possible time. Recently, in robotics, path planning is one of the most researched subjects.  Another criterion are robot should take less computational complexity and less power consumption, that can be possible only when it will move in the shortest path from starting configuration to a target configuration.
Empirical study on subject-based information retrieval with special reference to Bengali documents

This study has been conducted to examine users’ views regarding retrieving Bengali documents using subject headings and also examines users’ views of subject access, revealing issues with retrieving Bengali documents by subject in online public access catalogue. A stratified sampling method was used in the investigation. The results indicated that subject headings do not provide a good search experience. Although keyword search performs better, due to search redundancy, it is difficult to retrieve needed documents in the shortest time. It has been suggested that relevant insertions to use controlled vocabulary be included in the OPAC interface to meet the needs of new-age users.
Content Management System for Web Portals

CMS abbreviated as Content Management System, is one of the best solutions for web portals. Various problems are solved in a CMS which are faced in conventional systems. Major problems such as coding difficulties, management are key problems which are solved by any CMS. There are various technologies that are used to create a CMS, majorly PHP and MySQL DB combination are used for creating the system. WordPress as an example is built on PHP, MySQL DB and front end framework. CMS is highly scalable and has various scopes open for the future.
LITERACYCLOUD: ALTERNATIF MEDIA PEMBELAJARAN MENUJU ERA 5.0

Various sectors of life have changed drastically or slowly with the emergence of the Covid-19 pandemic. This change has also colored the disruption in the world of education. Distance Learning and Learning from Home emerged as other solutions to problems during the pandemic but were unable to solve all existing problems. This study aims to describe the good practice of using Literacycloud in various synchronous and asynchronous learning methods. This study uses a qualitative design with the type of content or document analysis. The documents analyzed are scientific journals that discuss Literacycloud. In addition, some documentation such as photos and videos become material which is then analyzed and interpreted to achieve the research objectives. The good practice of using Literacycloud learning media has proven to be an alternative solution in a humane and fun way. Participants in technical guidance or dissemination of a variety of fun reading experience an increase in knowledge. Many products in the form of USSR journals and the Reading Pyramid have been produced by teachers and parents of students. The use of Literacycloud and the application of a fun variety of reading makes teachers, parents, and students feel more confident and motivated to improve their reading literacy skills, thus supporting the National Literacy Movement and the success of the National Assessment.
Analisis Kualitas Aplikasi E-Exam Menggunakan Standar ISO 25010

Examination is a process carried out to measure the achievement of student competencies on an ongoing basis in the learning process, to monitor progress, make learning improvements, and determine student learning success. In 2019, SMK Negeri 6 Bekasi City began to use the E-Exam Application for the implementation of exams, both the Mid-Semester Examination or better known as UTS, Semester Final Examination or better known as UAS and School Examination or better known as US. Approaching 2 years of use, the E-Exam Application of SMK Negeri 6 Bekasi City has not been analyzed for software. The results of the evaluation of the quality of the E-Exam software at SMK Negeri 6 Bekasi City are expected to be a reference for developing and fulfilling the wishes of every citizen of SMK Negeri 6 Bekasi City, to be able to carry out online exams well. ISO 25010 testing is a standard that is widely used to evaluate, measure and test the quality of software. The ISO used for this research is version 25010, this version is a continuation of ISO/IEC 9126 with the addition of several structures and parts of the quality model standard. In this study, we will discuss the analysis of application quality using the ISO 25010 standard.
Aplicativo para identificar posibles problemas de aprendizaje en estudiantes de grado tercero de primaria

Learning problems such as dyslexia, dyscalculia and dysgraphia are naturallyknown in classrooms, however, for teachers the detection of symptoms or signsof these can become a difficult task because they cannot be observed with thenaked eye, this is why it is decided to deal with this situation when carrying outthe project Doodle , an application that allows to detect possible cases oflearning problems.This document contains everything from the fundamental foundations of histheory such as laticular geometry, learning problems, multimedia learningprinciples, learning types and instructional methods, to the different phases for itsdevelopment, which are, analysis and research, design, development andimplementation and evaluation. Thus carrying out a functional application thatallows students to strengthen their knowledge, teachers have a practical tool thatallows them to detect possible learning problems in their students and take themeasures that they think are relevant to stimulate the learning process.
Android Web Browser using Cross Platform

Getting to the World Wide Web by means of versatile end gadgets is expanding consistently. Versatile get to is restricted by gadget properties and radio systems. Previously, programming engineers reacted to this by exceptional measures for an uncommon portable web: WAP, HDML, WML, C-HTML and XHTML-MP. In any case, the World Wide Web Consortium pursues the alleged One-Web approach and suggests utilizing the general World Wide Web for a wide range of end gadgets. The program assumes a focal job in this: the utilization of pages and applications on the World Wide Web must be accomplished if the showcase programming underpins state-of-the-art web gauges. Subsequently, portable internet browsers present the fundamental bottleneck for versatile utilization of the World Wide Web. The examination shows that the present versatile end gadgets' internet browsers encourage portable utilization of the general WWW, considering the properties of the versatile operational condition.
UTILIZATION OF EDUCATION MANAGEMENT INFORMATION SYSTEM (EMIS) AS AN ANTI-CORRUPTION EFFORT IN MADRASAS

This study aims to determine the use of the Education Management Information System (EMIS) within the Madrasah to implement anti-corruption education. This research belongs to the type of descriptive qualitative research by describing the facts or findings in the field. The data collection technique is done through interviews, observation methods, and documentation. The instrument used in this research is the instrument using a questionnaire. The results show that the use of the education management system (EMIS) as the implementation of anti-corruption education is quite effective because the distribution of Education Operational Costs (BOP) to madrasas no longer has to pass through various parties but is directly channeled through school accounts, so there are no more deductions in the distribution process. The use of EMIS is also inseparable from internal and external constraints. From the inner aspect, it includes human resources who do not understand EMIS operations. Meanwhile, external factors include the EMIS central server, which requires further improvement to comfort and convenience for madrasas.
Non-dense Feature Aggregation for Video Object Detection

Video object detection is a challenging task in computer vision. Dynamic background change, motion blur, motion occlusion, and other problems bring great interference to the detection results. The existing detection methods often sacrifice the detection speed for the sake of accuracy or sacrifice the accuracy for the sake of faster detection speed. Therefore, we propose a non-dense feature aggregation method based on an optical flow network. The feature extraction is only carried out for keyframes, and then the feature aggregation of non-key frames is completed by the non-dense connection of adjacent frames, and the idea of dynamic programming is used to achieve the transmission of historical information, so as to obtain more effective features for detection. Our algorithm achieves a real-time detection effect without significantly increasing the amount of computation. And the algorithm achieves competitive detection results on the ImageNet VID dataset.
Efficient Proxy Re-Encryption method for Industrial IoT (IIOT)

With rapid advancement in wireless technology and pervasive digital technology have provided in increasing popularity and interest of Internet Industrial of Things (IIoT) methodology, ubiquitously giving convenience and intelligence to our daily activities. In IIoT based system scenario, smart components are associated everywhere as universal things linked in a pervasive model. Ensuring privacy for intersection amongst smart objects is significantly more important, in this paper, we propose a novel signature scheme which isutilized for carrying communication amongst devices in IIoT environment. Moreover werevealed different scheme that are vulnerable. The significance of the proposed scheme over other existing scheme are analyzed in terms of the summary which is illustrated using performance and security comparison. In this article we proposed for Proxy re-encryption conspire for Internet Industrial of Things.
A File Authentication System using Hand Gestures Passcode

Generally, language is regularly utilized as correspondence language for sense methodology weakened people. Now and again, it's acclimated help discourse correspondence. There's conjointly a pattern towards exploitation hand motions as a point of view approach of correspondence among people and robots. In this manner, a few hand signal acknowledgment examines are arranged. More over to voice and controller cushions, hand signals can even be a decent approach of correspondence among people and robots or maybe between sense methodology crippled people and robots. To be a decent sign acknowledgment framework, it should be sans glove, quick, little information and right. During this paper, we will in general propose a hand motion acknowledgment framework that performs continuous acknowledgment. A record confirmation technique is finished by accomplishment passwords that are appeared by language or signals. A 2 digit password is allotted to a record. The info is caught utilizing a direct net camera and prepared exploitation marking rule and if a match occurs, the record are regularly seen by the client and if a twin occurs, get to is denied.