Reviewerly/exHarmony huggingface dataset:
Penerapan Sistem Aplikasi E-Arsip Pada Kegiatan Pengarsipan Surat- Menyurat di bagian Umum Sekretariat Kabupaten Aceh Barat

The General Section of the Aceh Barat Setdakab is the section that manages administrative affairs including handling correspondence activities. Correspondence management activities in the General Section of the Aceh Barat Setdakab have followed the times, namely using electronic devices such as computers in terms of archiving incoming and outgoing mail using a web application system known as E-Archive. The implementation of the E-archive system is considered to be quite good and efficient in providing services, which can be felt based on the speed and security of employee performance. However, there are still obstacles in the application system in daily mail archiving activities. The method in this study uses a qualitative evaluation, namely analyzing, photographing, and describing the working conditions of employees in the field of archiving incoming and outgoing letters in the general scope of the Aceh Barat Setdakap, according to the results of interviews, data collection, and field observations. This archive must continue to be applied in providing services, even if it needs to be further developed and design an E-archive application system in terms of archiving incoming and outgoing letters that are more recent so as to minimize existing obstacles so that the process of filing mail archiving activities is more effective and efficient from the previous
Psychological Requirement Analyses

Psychological requirements analyses, like many other psychological examination procedures, are not free of subjective influences and are thus method dependent. Consideration of theoretical implications, a multimodal approach as a “mix of methods”, and the possibility of plausibility checks and statistical analyses to secure results can help in the design and implementation of psychological requirements investigations.
A Motion Generation Method for Articulated Manipulators Using Linear Mapping Matrices Calculated by Neural Networks

In this paper, a method of motion generation for articulated manipulators is proposed. In this method, motion sequence is generated based on past motion experience. The rough procedure is as follows. Various reaching motions are performed by the manipulator in advance, and then, these experiences are stored by the manipulator as end-effector poses, joint angles, environment map, and so on. Then, the manipulator generates a new motion sequence by efficiently using the past experiences when a new target end-effector pose is given. The proposed method comprises two phases: similar experience search and motion modification. In the latter phase, a neural network is utilized to calculate the amount of modification movement. It ensures a certain level of trajectory reproducibility. The effectiveness of the proposed method is proven via simulation considering planar and 3D manipulators.
Modeling Pandemic Response for Populations Equipped with Contact-Chain Capable Wearable Devices

Extant pandemic detection and prevention strategies are based around contact tracing technologies. In contrast, this manuscript describes a strategy for preemptive pandemic response based on wearable devices with built-in privacy, based on distributed, encrypted and anonymized contact chains. We evaluate such strategy in an agent-based simulation environment that models a wearable-device equipped population in an urban area, comparing it with no response strategy, and with the extant contact-tracing approaches. Our results suggest contact-chaining is an effective way to augment pandemic response, by preemptively isolating persons who are potentially infectious; initial results indicate up to a 23.4% reduction in peak infections compared to the strictest extant approach. Simulations show that this strategy is especially effective during a first wave and can potentially prevent further infection waves. Ongoing work is looking at the privacy issues of such an approach and modeling countermeasures within our simulation framework.
Innovation of Social Studies Digital Learning with Makerspace Approaches for Secondary School Students

Disruption of learning spaces for secondary school students in the digital age results in their learning disruption. Learning has developed significantly due to technological advancement, and online knowledge has considerably been improved. Meanwhile, field learning remains as an essential factor of skill development for secondary school students, and discovery of skills knowledge is not limited in the classroom. New methods and forms of learning for students are developed and provide for learning in digital era. Makerspace digital learning management of social studies constitutes learning space for self-discovery, in which learners will be prepared for real life in the digital era through what is smaller, albeit more motivational, than the classroom. Therefore, this article aims to present the innovation of Makerspace digital learning for social studies, in order to adjust the learning space to correspond with the real society in the digital era.
Acquiring Development Data

No AccessJul 2021Acquiring Development DataAuthors/Editors: Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, Maria Ruth JonesKristoffer BjärkefurSearch for more papers by this author, Luíza Cardoso de AndradeSearch for more papers by this author, Benjamin DanielsSearch for more papers by this author, Maria Ruth JonesSearch for more papers by this authorhttps://doi.org/10.1596/978-1-4648-1694-9_ch4AboutView ChaptersPDF (0.8 MB) ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinked In Abstract: Explores data acquisition, starting with the legal and institutional frameworks for data ownership and licensing with an examination of the rights and responsibilities of using data collected by the research team or by others, then providing a deep dive on collecting high-quality primary electronic survey data, including developing and deploying survey instruments, and finally discussing how to handle data securely during transfer, sharing, and storage. The process of obtaining research data proves unique to every project, but some basic structures and processes remain common to both data acquired from others and data generated by surveys. When receiving data from others, ownership and licensing remain critical, and before transferring any data, knowing all the formal rights associated with those data remains essential. Collecting high-quality data requires careful planning and attention to detail throughout the workflow, and no matter how data are acquired, secure handling of data proves essential to protect respondent privacy. Previous chapterNext chapter FiguresreferencesRecommendeddetails View Published: July 2021ISBN: 978-1-4648-1694-9e-ISBN: 978-1-4648-1695-6 Copyright & Permissions Related TopicsInformation and Communication TechnologiesLaw and DevelopmentPrivate Sector Development KeywordsCASE STUDYDATA QUALITYDATA FLOWSDATA COLLECTIONRESEARCH METHODSSTATISTICAL ANALYSISCREDIBILITYTRANSPARENCYARCHIVING OF DATADATA STORAGESTRUCTURED DATA COLLECTIONRESEARCH DESIGNLICENSINGINTELLECTUAL PROPERTY RIGHTSPRIVACYINFORMATION SECURITYETHICSHUMAN RESEARCH ETHICS PDF DownloadLoading ...
Persepsi Mahasiswa Terhadap Penerapan Blended Learning Dalam Pengajaran Akuntansi Pemerintahan: Tingkat Kepuasan dan Rancangan Pengajaran

One of the trends in today's learning methods is to combine face-to-face meetings with online lectures. The application of blended learning for technical subjects such as accounting is still limited. This study aims to determine students' perceptions of the application of blended learning in government accounting teaching, the level of student satisfaction with the government accounting teaching process using traditional methods compared to blended learning, as well as the correct composition in the application of blended learning between face-to-face lectures and online teaching via e-learning in government accounting teaching. Respondents in this study were students who had passed government accounting courses. Data analysis was performed using the Mann Whitney difference test. The results of this study indicate that there are differences in student perceptions of the application of traditional learning and blended learning as many as 5 statement items. The results of this study also conclude that learning design using the blended learning method can be implemented for teaching government accounting but this does not mean eliminating face-to-face meetings, lecturers must design a combination of online and face-to-face meetings that are considered ideal by taking into account the number of students in the class and the number of students in the class. members in study groups Keywords: Blended learning; Course design; Government accounting; Learning method; Students’ satisfaction.
FotoGebra: un recurso educativo y creativo en tiempo de pandemia

The aim of this article is to show how the didactic proposal called FotoGebra has been connected with the context that we are going through, creating an environment that will allow the teaching and learning processes to continue beyond the classroom, favoring the teaching and learning of this science in virtual, hybrid or face-to-face teaching contexts. To do this, it will begin with a brief description of the contest, and how it was adapted to the new modality of education, due to the conditions of public knowledge caused by the pandemic. Among the various strategies generated, the activities designed for the classroom and the workshops broadcast live on the YouTube channel of the contest stand out.Likewise, by describing some activities for the classroom and works presented in the V edition, it will be possible to glimpse the potential that modeling from photographs and GeoGebra software needs, for the development of mathematical concepts and creativity.
PENGEMBANGAN MEDIA PEMBELAJARAN KIMIA BERBASIS ANDROID UNTUK MENINGKATKAN PRESTASI BELAJAR SISWA (Studi pada Siswa Kelas X Teknik Komputer dan Jaringan SMK N 2 Lahat)

Research on the development of an Android-based chemistry learning media to improve student achievement is developed using Appy Pie which is an online builder available on the internet. Appy Pie is a website that provides templates in making android applications. This chemical bond android application media contains five main features namely E-Material features, Video features, Quiz features, Forum Features, and About Us features. This development research was conducted in several stages, namely preliminary studies, prototype development, field testing, and dissemination and socialization. The population of the study was grade X students majoring in TKJ SMK N 2 Lahat. Data collection in this study uses observation, questionnaires, documentation and tests (pretest and posttest) using multiple choice questions of chemical bonding material. The stage of content assessment and media content from the media obtained an assessment with a very good category. The number of respondents in this study were 25 people in the experimental class and 25 people in the control class. The results of this development study indicate that: The use of android-based learning media in learning chemistry in class X TKJ SMKN 2 Lahat is good. There is a significant difference between the learning achievement of the control class and the experimental class.PENGEMBANGAN MEDIA PEMBELAJARAN KIMIA BERBASIS ANDROID UNTUK MENINGKATKAN PRESTASI BELAJAR SISWA(Studi pada Siswa Kelas X Teknik Komputer dan Jaringan SMK N 2 Lahat)
Youth education of public culture negative effects

This article provides an analysis of the concepts of and “popular culture”. The negative impact of popular culture on the education of young people was revealed. It was noted that it would give negative results. The need to educate young people to be perfect people was highlighted. Data were obtained from reliable sources. Often, in conversations, some intellectuals complain about the negative impact of bad music, bad movies, traditions that contradict the psyche and spirituality of a particular nation on the minds and hearts of young people in general. Today, if you turn on the TV and radio channels, browse the press, or travel through the jungles of the Internet, you will no doubt encounter more harmful information than useful information. In contrast, Western life is praised as rising to heaven like heaven. All these factors make it necessary to establish a consistent spiritual education in a developing society. Take samples of the or lifestyle that is promoted through single commercials. While it may seem as if a simple fabric necessary for need is being propagated through them, there is something hidden behind it that is not in line with our national ethics.
Placing AI within the IP law map

While chapter four explores the different intellectual property theories, reflecting on their underlying bases, this chapter places the artificial intelligence discussion within the intellectual property theoretical map and proposes a broader perspective for AI-IP theory. In doing so, chapter six extends the theoretical debate, signalling relevant elements from the different intellectual property theories and considering whether artificial intelligence might be explained by or applicable to those theories. The goal of this chapter is twofold: First, discussing if one or more legal theories can recognize the creations of artificial intelligence; second, returning to the theoretical discussion and considering if legal assumptions can adapt to recognize artificial intelligence authorship or inventorship.
Pre-service teachers’ experiences using visual and audiovisual materials in efl classrooms

This paper reports a study related to the experiences that emerge, when pre-service teachersuse visual and audiovisual materials in EFL classrooms. The main objective was to systematizethose experiences of pre-service teachers at the moment to select and to use visual andaudiovisual materials that takes part in an elementary school in EFL classes. Through a systematization of experiences and with a qualitative perspective, we wanted todescribe the different emotions and experiences when selecting and implementing visual andaudiovisual materials. The information was collected through our own recovery files,observations and interviews. For the analysis of the information, we used the categorization,based on the analysis of the recovery files and the interviews. The results allowed us identify3 main factors that influence the selection process of visual and audiovisual materials in EFLclassrooms, such as: 1- Factors that affect pre-service teachers’ decisions when selecting thevisual and audio-visual materials, 2- Learnings when selecting and implementing visual andaudiovisual materials, 3- Challenges that emerged when choosing and implementing visual andaudiovisual materials. These categories gave us ideas to understand the reality of English class.These emerging categories could help future research projects that decide to study therelationship between preservice teachers and materials.
Real Time Architecture for Image De-Hazing

Outdoor scenes are mostly affected by bad weather and observed objects in images suffer from poor visibility and contrast. Therefore de-hazing algorithms are utilized to eliminate haze and fog from images. This paper describes the real-time architecture for image de-hazing using dark channel prior method. In proposed architecture, hazy images are read in patch form and minimum intensity pixels are separated from every patch. These pixels of minimal intensity combine to form a dark vector which is used in atmospheric light computation. Atmospheric light value is used in assessment of transmission map. In order to avoid appearing of artifacts in recovered image, fast guided filter is utilized for transmission map refinement and then refined transmission map is used in recovery of scene. The hardware architecture is implemented on Xilinx VIVADO tool using VHDL language. A comparison of simulation results with MATLAB results validates the architecture of image de-hazing. Hardware architecture is synthesized using Xilinx Virtex board, Device XCVU190, Package FLGC2104, and Speed 1800. Results from synthesis show that architecture consumes 7130 slice registers and 48690 LUTs.
Prediction Of Derm Sickness Using Naïve Bayes Classification With Bipolar Fuzzylogic Set

In recent years there are wide range of skin diseases especially Pores and derm sicknesses. Enlarged pores are depressions in the facial skin surface that contains one or more openings to the ducts carrying sweat and oil from their respective glands and sebaceous glands. It  occurs in one-of-a-kind patterns because  of wide ranges of things  inclusive of climatic change, pollutants, abnormal work change timings, hygienic requirements, age, degree of fitness care and plenty other more.. Those sicknesses cause a number of distress in human health. In this paper we use a novel method to discover the derm sickness occurs in which age group by the method of bipolar fuzzy set and predict the accuracy using Bayesian classifiers. The result accuracy is more than 93%.
A Deep Reinforcement Learning Algorithm Based on Tetanic Stimulation and Amnesic Mechanisms for Continuous Control of Multi-DOF Manipulator

Deep Reinforcement Learning (DRL) has been an active research area in view of its capability in solving large-scale control problems. Until presently, many algorithms have been developed, such as Deep Deterministic Policy Gradient (DDPG), Twin-Delayed Deep Deterministic Policy Gradient (TD3), and so on. However, the converging achievement of DRL often requires extensive collected data sets and training episodes, which is data inefficient and computing resource consuming. Motivated by the above problem, in this paper, we propose a Twin-Delayed Deep Deterministic Policy Gradient algorithm with a Rebirth Mechanism, Tetanic Stimulation and Amnesic Mechanisms (ATRTD3), for continuous control of a multi-DOF manipulator. In the training process of the proposed algorithm, the weighting parameters of the neural network are learned using Tetanic stimulation and Amnesia mechanism. The main contribution of this paper is that we show a biomimetic view to speed up the converging process by biochemical reactions generated by neurons in the biological brain during memory and forgetting. The effectiveness of the proposed algorithm is validated by a simulation example including the comparisons with previously developed DRL algorithms. The results indicate that our approach shows performance improvement in terms of convergence speed and precision.
Innovation and Balance: Submission to the Government of Canada’s Consultation on Copyright, AI, and IoT

The Government of Canada asks how it can amend the Copyright Act to better accommodate AI (“artificial intelligence”) and IoT (the “Internet of Things”) technologies. The consultation document specifically inquires about authorship of AI-assisted works, liability in the context of relying on AI for production, and how technological protection measures (“TPMs”) affect the ability of users to repair IoT devices.CIPPIC is a public interest clinic that specializes in technology law. Our goal is to advocate in the public interest for policy that promotes innovation, encourages respect for human rights, and responds to the needs of the wider public. These principles underlie the following recommendations that we offer in this submission:1. Refrain from introducing laws that attribute authorship to AI or determine how authorship should be assigned for AI-assisted works until there is a clear and pressing need (sections 2.2-2.3). 2. Develop a cohesive approach to liability for infringing activities that involve the use of an AI and provide an exception or safe harbour for text and data mining (“TDM”) within certain parameters (sections 3.2-3.3). 3. Amend the prohibition on TPM circumvention to allow circumvention for uses that do not infringe upon copyright and expand the current exceptions to the prohibition (sections 4.2-4.3).
Pelatihan Desain Aktivitas Pembelajaran Matematika Digital dengan Menggunakan Desmos

Abstract Desmos is a platform or service that offers a variety of math tools, digital math activities, and curricula to facilitate students’ high-level learning in a joyful way through the web or iOS and Android applications. For teachers, Desmos can be employed to improve the quality of mathematics teaching and learning by facilitating students to perform authentic mathematical activities. Therefore, the present community service activity aims to provide professional development programs for teachers to design digital mathematics learning activities using Desmos. The method used in the present community service was online training using Google Classroom and Zoom. The results of this community service activity indicate that the teachers gave a positive assessment of the training implementation, facilitators, and materials. Also, the teachers acknowledged that the training had provided new knowledge on learning media, sparked the desire of teachers to implement Desmos activities in mathematics teaching and learning, and made the teacher give a positive perception to Desmos. As a follow-up to this training, sustainable community service activities are needed so that the teachers can be more optimal in utilizing and integrating technology in mathematics teaching and learning effectively. Keywords : Desmos; Training; Mathematics Teaching and Learning; Professional Development.
ORGANIZATION OF STUDENT UNDERSTANDING OF EDUCATIONAL MATERIAL (ON THE MATERIALS OF TEACHING SOCIAL AND HUMANITARIAN SUBJECTS AT A PUBLIC SCHOOL)

The research paper studies the didactic features of the organization and management of the process of comprehension of social and humanitarian knowledge by the public school students. The author presents the results of the research focused on the development and implementation of both the didactic structure of the organization and management of students’ understanding of instruction materials and the didactic means used to solve the issues related to implementing the proposed didactic structure and improving the efficiency of instruction material. The didactic structure of the organization and management of students’ understanding of social and humanitarian knowledge is described as a specific system, which includes motivating students to learn and understand the learning material; organizing and conducting active reflection based on the use of appropriate techniques and teaching methods; discovery and consolidation of new knowledge, formation of concepts. The paper presents the results of the system experimental testing, data of a comprehensive study of the level and nature of student motivation to understand social and humanitarian concepts based on the application of the methodology used for determining the educational activity motivation, its levels and types, methods for determining the depth and stability of cognitive interest and the depth of knowledge of the subject, methods for identifying the educational motivation orientation. The paper describes the problematic questions, situations, and tasks that prove highly effective in the process of organizing active understanding of learning materials. The author presents intermediate and final results of the experiment based on the criteria specification and level development measurement of student thinking activity using such methods as Short Screening Test (to determine an integral indicator of general abilities), School Test of Mental Development, Intellectual Lability. The experiment proves that the level of student thinking activity development has increased by 10%, the activity of students in comprehending social and humanitarian concepts and knowledge has intensified. The results of the research clarify the potential role of problematic questions, situations, and tasks to enhance students’ mental activity, and determine the effectiveness of the didactic structure of organizing comprehension of social and humanitarian concepts.