Reviewerly/exHarmony huggingface dataset:
Hubungan penguasaan kosakata dan motivasi belajar dengan kemampuan menulis narasi kelas IV sekolah dasar

&lt;em&gt;This study aims to determine (1) whether there is a relationship between vocabulary mastery and narrative writing skills; 2) the relationship of learning motivation with the ability to write narration; (3) the relationship between vocabulary and learning motivational with the ability to write narration. The method used is the correlational method. The sample is 3 elementary schools, totaling 79 students. Data collection using tests and questionnaires. The ability to write variable narratives is used in the form of a composing test instrument, an instrument of learning motivation variable used in the form of a questionnaire, mastering the vocabulary of data variables obtained with choice test. Data were analyzed using inferential analysis of the F test and t test. The results showed that (1) there was a significant relationship between vocabulary mastery with the ability to write narrative tcount (317.66)&amp;gt; rtable (3.97), the correlation coefficient tested by t test, the results of tcount (17.33)&amp;gt; ttable (1.66); (2) there is significant the relationship between learning motivation and narrative writing ability price r count (37.43)&amp;gt; r table (3.97), the correlation coefficient is tested by t test, the tcount (7.40)&amp;gt; Table (1.66); (3) there is a significant correlation between vocabulary words and motivation to learn together with the ability to write narration. ry (1,2) equal to 0.94, the coefficient of significance with the F test obtained F count = 302.01, the real level á = 0, 05, with df 76 obtained Ftable = 3.12 then Fcount&amp;gt; Ftable. Thus, it can be concluded that mastery of vocabulary and learning motivation has significant relationship with students' ability to write narration.&lt;/em&gt;
Application and Empirical Study of Educational Informationization

With the steady development and growth of economic society, remarkable achievements have been made in the construction and application of teaching resources, the establishment, and development of teaching staff, the innovation of the teaching and learning model, and the in-depth application of information and communication technology. In particular, is the thriving education undertaking? At the time local governments accelerating economic and social development, education is always the priority. They took education informatization as an essential solution to improve education development, promoting education informatization. This article takes Chengchuan Elementary School as an example, introduced the balanced development of urban and rural education and the cooperation with universities, and summarized its practical experience in applying education informatization under local conditions.
A Deep Learning Approach for Recognizing Activity of Daily Living (ADL) for Senior Care: Exploiting Interaction Dependency and Temporal Patterns

Ensuring the health and safety of independent-living senior citizens is a growing societal concern. Activity of Daily Living (ADL) is a common approach to monitor these citizens’ self-care ability and disease progression. However, prevailing sensor-based ADL monitoring systems primarily rely on wearable motion sensors, capture insufficient information for accurate ADL recognition, and do not provide a comprehensive understanding of ADLs at different granularities. Current healthcare IS and mobile analytics research focuses on studying the system, device, and provided services, and needs an end-to-end solution to comprehensively recognize ADLs from mobile sensor data. This study adopts the design science paradigm and employs advanced deep learning algorithms to develop a novel hierarchical, multi-phase ADL recognition framework to model ADLs with different granularities. A novel 2D Interaction Kernel for convolutional neural networks is proposed to leverage interactions between human and object motion sensors. We rigorously evaluate each proposed module and the entire framework against state-of-the-art benchmarks (e.g., Support Vector Machines, DeepConvLSTM, Hidden Markov Models, and Topic-modeling-based ADLR) on two real-life motion sensor datasets that consist of ADLs at varying granularities: Opportunity and INTER. Results and a case study demonstrate that our framework can recognize ADLs on different levels more accurately. We discuss how stakeholders can further benefit from our proposed framework. Beyond demonstrating the practical utility, we discuss contributions to the IS knowledge base for future design-science-based cybersecurity, healthcare, and mobile analytics applications.
Modifikasi Pembangkit Kunci Algoritma Elgamal Dengan Menerapkan Algoritma Freivalds

Cryptography is both a science and an art to protect the security of messages and information from being seen, read, understood by third parties. One of the cryptographic algorithms is the elgamal algorithm. Currently, communication and information technology is developing rapidly and has a major impact on human life. An example of this development is the internet network, which now allows many people to exchange data freely through the network. The problem to be solved is in the form of a text file, the elgamal algorithm will be modified with a scrambling algorithm, namely the freivalds algorithm. Freivalds algorithm is a probabilistic random algorithm algorithm used to verify matrix multiplication. This algorithm is used to modify the Elgamal algorithm on encryption that uses plaintext pairs with a secret key that is randomly obtained. To increase the strength of the algorithm, the key used to perform the encryption and decryption process will be changed first using a randomized key, namely the Freivalds algorithm. Keywords: Cryptography, Mods, Keys, Elgamal Algorithms, Algortima Freivalds
Diamond Subgraphs in the Reduction Graph of a One-Rule String Rewriting System

In this paper, we study a certain case of a subgraph isomorphism problem. We consider the Hasse diagram of the lattice Mk (the unique lattice with k + 2 elements and one anti-chain of length k) and find the maximal k for which it is isomorphic to a subgraph of the reduction graph of a given one-rule string rewriting system. We obtain a complete characterization for this problem and show that there is a dichotomy. There are one-rule string rewriting systems for which the maximal such k is 2 and there are cases where there is no maximum. No other intermediate option is possible.
Automatic Microseismic Event Detection in Noisy Environments from Unfiltered Seismic Signals Using Instantaneous Spectral Shannon Entropy

Summary Monitoring microseismic is a challenge under strong noise scenarios with a poor signal-to-noise ratio (SNR) and low energy of these events. The monitoring requires a robust detection of seismic events because the reliability of seismic interpretations is dependent on a good phase-detection. The Short-Term Average/Long-Term Average (STA/LTA) wave detector is widely used due to its robustness. However, the STA/LTA method may fail to detect seismic waves when data is contaminated by a strong noise. In this study, we use information entropy of the time-frequency power spectrogram of unfiltered real-data to detect P- and S-waves of recorded microseismic events in noisy environments. The results show that our proposal is a powerful method for monitoring microseismic due to its ability to identify signals in noisy environments, outperforming the classical STA/LTA technique.
Development of Blockchain Technology

AbstractBlockchain technology is the first successful Bitcoin Network. It enables the ledger to become more decentralized and secure. Since it is not limited to bitcoin and controlled by third parties by government, corporations, or banks, the technology is capturing several industries, including cryptocurrency, infrastructure& hardware, financial technology, Internet & mobile and so on. Blockchain is used as a public ledger to verify all peer-to-peer system transactions and maintain traded bitcoin spending from central authorities while bitcoin has distributed transactions. Achieving high Blockchain-based performance and privacy & security are global issues that are desire to be overcome as claims show they are still significant challenges in many Blockchain applications. This paper presents an introduction to Blockchain and the process of this technology in the way of outlining Blockchain types. Also, recent advances, challenges, real economy integration, and current situations of this technology have been listed. Key Words: Blockchain, transaction, nodes, privacy, scalability, consensus, future directions
Pelaksanaan Pusat Kegiatan Belajar Masyarakat (PKBM) di Lembaga Pemasyarakatan Klas IIA Cibinong

This research was aims to describe: 1) The implementation of coaching activities for the Community Learning Activity Center (PKBM) at Lembaga Pemasyarakatan (LAPAS) Klas IIA Cibinong, 2) The enthusiasm of the assisted residents to participate in the development of the Community Learning Activity Center (PKBM) at Lembaga Pemasyarakatan (LAPAS) Klas IIA Cibinong, 3) A form of collaboration between Lembaga Pemasyarakatan (LAPAS) Klas IIA Cibinong in improving the quality of the development activities of the Community Learning Activity Center (PKBM), 4) Procurement of a Smart Cart as an infrastructure for reading interest in assisted citizens Lembaga Pemasyarakatan (LAPAS) Klas IIA Cibinong, 5 ) A form of success from the implementation of Community Learning Activities (PKBM) Lembaga Pemasyarakatan (LAPAS) Klas IIA Cibinong. The research method used is descriptive qualitative and data collection techniques through observation, interviews and documentation. Interviews and observations were carried out with prison officers, assisted residents as students, and tutors who participated in the development of the Community Learning Activity Center (PKBM). The documentation in this study includes archival data, photo or video recordings, books and others.
Approvals, Slips, and DDA! Oh My! The Yellow Brick Road to Collaborative Approval and DDA Profiling

In the last several years, approval profiling has changed significantly and grown increasingly complex, particularly due to the prevalent shift toward collecting in electronic formats. While approval profiles have been predominantly e-preferred for some time, the growth of demand-driven acquisition (DDA) has led to new license models, modes of acquisition, and tighter integration of DDA with approvals. With the advent of the DDA-preferred approval plan came options for the inclusion of multiple e-book platforms as well as complexities involving publisher embargoes. Additionally, the numerous approval and DDA profile parameters, workflow options, and administrator settings vary widely, resulting in a seemingly endless array of possibilities that can affect how titles are ultimately profiled. The task of creating a new profile or preparing profile reviews can be overwhelming, especially for those new to profiling or trying a new vendor. However, it can and should be a collaborative experience with vendors that leads to more than just great profiles. While library staff should strive to learn how to make the most of what a vendor offers, vendors should inquire about the library’s collection development strategies, issues, and needs. Vendors can also share current trends and offer advice modeled on how other libraries handle similar issues, as well as gather feedback for potential development. This paper supplies tips that will help library staff who are preparing to create or review approval or DDA profiles or to profile with new vendors, to be better prepared in order to maximize their time profiling with vendors.
Implementasi Metode Ripple Down Rules (RDR) dan Metode Certainty Factor Pada Sistem Pakar Diagnosa Pompholyx

Pompholyx is a skin disease characterized by the appearance of small, fluid-filled blisters, especially on the sides of the fingers, palms, and soles of the feet. In general, the blisters last three weeks, and produce severe itching and burning. The blisters can also be accompanied by pain and drain pus. Pompholyx is also known as dyshidrotic eczema. If not treated properly, people with pompholyx can develop bacterial infections, as a result of scratching the affected area of the skin. Therefore, a tool that is able to provide real and accurate diagnostic information based on the symptoms that occur in sufferers of this disease is needed, namely an expert system application. Expert system applications can work properly according to expert knowledge to diagnose diseases that are experienced based on the symptoms that arise. The expert system for diagnosingdisease Pompholyx in this study the authors design and build with vbnet 2008. The method applied to the expert system in this study is the Ripple Down Rules (RDR) Method and the Certainty Factor Method. The knowledge base for diagnosing Pompholyx was obtained from expert doctors to diagnose this disease, namely specialists at Herna General Hospital. The results of this study are in the form of an expert system which is expected to contribute to helping many people more easily get diagnosis information fordisease Pompholyx easily. Keywords : Expert System, Diagnosis, Pompholyx, Ripple Down Rules (RDR), Certainty
Uncanny Valley in 3D Emoji: Investigating User Perceptions of Realistic Representations

In this study, we examined the effects of user perception of 3D emojis' facial expressions in regards to levels of likeability and human likeness. To create the scale for measuring realism levels, six 3D emoji face samples were created depending on levels of realism. Based on the results (N = 151), we found that likeability and human likeness were significantly reduced in inverse proportion according to the levels of realism for the 3D emoji. These findings revealed the implications of 3D emoji or avatar design in message communication.
Trust, but verify: model-based exploration in sparse reward environments

We propose trust-but-verify (TBV) mechanism, a new method which uses model uncertainty estimates to guide exploration. The mechanism augments graph search planning algorithms by the capacity to deal with learned model's imperfections. We identify certain type of frequent model errors, which we dub false loops, and which are particularly dangerous for graph search algorithms in discrete environments. These errors impose falsely pessimistic expectations and thus hinder exploration. We confirm this experimentally and show that TBV can effectively alleviate them. TBV combined with MCTS or Best First Search forms an effective model-based reinforcement learning solution, which is able to robustly solve sparse reward problems.
Sistem Pendukung Keputusan Penentuan Srikandi Untuk Mengikuti Kejuaraan Nasional KungfuDengan Metode PSI

Kung fu is a martial art originating from the Bamboo Curtain Country, namely China. Kungfu martial arts originally developed from the need and ability of humans to survive to defend themselves from various types of wild animal attacks, to hunt for food and to fight against other groups of humans who are considered a threat to the security of life. Srikandi is a female warrior / warrior in in Kungfu. In his role, Srikandi has a position as a member who can develop and contribute in competitions at the regional and national levels to become a reliable and accomplished fighter / fighter. The structured selection process for heroines in the Kungfu branch in realizing heroines according to the stages and provisions of each branch goes through several stages such as tests of movements, belts, health, body weight and age. Decision Support System (DSS) is a system device capable of solving problems efficiently and effectively, which aims to assist decision making in choosing various alternative decisions which are the result of information processing and by using the PSI method the selection of heroines in Kung Fu can be carried out well. Keywords : Kungfu, Srikandi, PSI, DSS, National Championship
An Approach Towards Question Answering Using Apposite Context

Question Answering (QA) is concerned with building systems that automatically answer questions given by humans in a natural language. Most of the successful approaches for these systems rely on Recurrent Neural Networks (RNNs). But, running them over long documents is prohibitively slow. Traditional models for QA optimize using cross entropy loss on the start and end positions of the answer. But, these models do not consider word overlapping between actual and predicted ones and thus, may results in wrong output. The proposed system puts forward a QA model that combines cross entropy loss with word overlapping. Another significance is that, the context being fed into the QA model is shortened by selecting only the relevant sentences with respect to the input question, from the source document. The model is implemented with the aid of a mechanism called Dynamic Coattention Network (DCN). Dataset used for the implementation of this system is Stanford Question Answering Dataset (SQuAD).
Cloud Computing Security: A Technical Review

Abstract In the current scenario, due to the lack of professional testing and evaluation system for cloud computing information security products, the basic security of cloud computing information security products cannot be guaranteed. The foundation of a test and assessment arrangement of CC (cloud Computing) data security items is provided, and the system is used in the actual product testing, to further promote the development of cloud computing and information security. Anticipating as a transformative advance, following the progress from centralized server PCs to client/server deployment models, cloud computing encompasses elements from grid computing, utility computing and autonomic computing, into an innovative deployment architecture. Keywords: Advanced Encryption Standard, cloud computing, cryptography, Diffie-Hellman, security, MANET
Research on the Online Teaching Effect of College English Courses in Higher Vocational Colleges Based on "Learning"

The progress of science and technology has gradually diversified the forms of classroom teaching activities. In order to better ensure the teaching efficiency, many teachers have used the Internet to carry out online teaching. Therefore, this article mainly starts with the issues that need to be paid attention to in the current English teaching activities in higher vocational colleges, and explores the specific ways to use the learning platform to improve the effectiveness of online teaching. I hope that in the process of effectively stimulating students’ learning motivation, we can achieve the promotion of higher vocational education The purpose of better activities.
An Ontology for the South African Protection of Personal Information Act

The protection and management of data, and especially personal information, is becoming an issue of critical importance in both the business environment and in general society.Various institutions have justifiable reasons to gather the personal information of individuals but they are required to comply with any legislation involving the processing of such data.Organisations thus face legal and other repercussions should personal information be breached or treated negligently.Most countries have adopted privacy and data protection laws or are in the process of enacting such laws.In South Africa, the Protection of Privacy Information Act (POPIA) was formally adopted in 2013 but it is yet to be implemented.When the implementation of the Act is announced, role players (responsible parties and data subjects) affected by POPIA will have a grace period of a year to become compliant and/or understand how the Act will affect them.One example of a mandate that follows from POPIA is data breach notification.This paper presents the development of a prototype ontology on POPIA to promote transparency and education of affected data subjects and organisations including government departments.The ontology provides a semantic representation of a knowledge base for the regulations in the POPIA and how it affects these role players.The POPIA is closely aligned with the European Union's General Data Protection Regulation (GDPR), and the POPIA ontology is inspired by similar ontologies developed for the GDPR.
Efficiency of Recording Patient Medication History with Electronic Medical Records

Along with the development of science and technological advances that are happening today, changing everything from paper to paperless. Individual medical practice doctor Nunik Kurniawati as a case study is recording patient data on paper. Patient data becomes easily torn and illegible. To minimize these incidents is by applying electronic medical records. This type of research is descriptive by identifying patient data variables, doctor data, diagnostic data, action data, drug data, payment method data, registration data, examination data, prescription data. The instrument research used observation and interview guidelines. Analysis and implementation of descriptive data. Electronic Medical Record (EMR) is built using the PHP programming language, MySQL Database, Dreamweaver and produces information in the form of patient data reports, doctor data reports, diagnostic data reports, action data reports, drug data reports, payment data reports, registration data reports, reports inspection data, recipe data reports. The applied Electronic Medical Record has been able to provide patient history, minimize damage to paper documents, and minimize illegible writing so that health services can run optimally and efficient.
Penggunaan media games book untuk meningkatkan minat baca pembelajaran ips pada kelas iv sekolah dasar

&lt;pre&gt;&lt;strong&gt;&lt;em&gt;Abstract. &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;Games book learning media is one of the learning media that can help teachers deliver material to students through a game. Games book is a book-shaped media in which there are various games that interest students in reading. The purpose of this study is to prove that the use of media games books can increase reading interest in grade IV students. The type of research is classroom action research conducted in two cycles. Each cycle consists of four steps, namely planning, action, observation and reflection. The subjects of this study were teacher and fourth grade students of Elementary School Djama'atul Ichwan Surakarata. Data collection techniques in this study through observation, interviews, questionnaires, and tests. Data validity testing techniques in this study used triangulation techniques. The results of this study indicate that the reading interest of pre-action students who scored high interest in reading categories was only 29% or 9 students. In cycle I, students who received high interest in reading scores occurred at meeting 1 to 55% or 17 students and meeting 2 to 81% or 25 students. In cycle II there was an increase again in meeting 1 with a score of 87% or 27 students and in meeting 2 to 90% or 28 students. The results showed that the use of game media books could increase the reading interest of Class IV D students at SD Djama'atul Ichwan Surakarta in the academic year 2019/2020.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/pre&gt;