Reviewerly/exHarmony huggingface dataset:
Kemampuan dan Kesulitan Siswa Kelas X SMA Negeri 3 OKU dalam Menulis Teks Negosiasi

The purpose of this study was (1) to describe the ability of class X students of SMA Negeri 3 OKU in write negotiating text and (2) to describe the difficulties of class X students of SMA Negeri 3 OKU in write negotiating text. The method used in this research is quantitative descriptive. The data collection technique used in this study is performance test and questionnaires. The data analysis technique used is descriptive statistical analysis technique. The test results show that from 33 people, students who scored 80—100 with a very capable category numbered 12 people (36.36%), students who scored 66—79 with a capable category amounted to 12 people (36.36%), students those who get grades of 56—65 with a category of capable enough amount to 6 people (18.18%), students who score 46—55 with a category of underprivileged number of 3 people (9.09%), and there are no students who get a score categorized as a failure. The average value of students writing negotiating texts is 72.09. Thus, the ability of students to write negotiating texts is quite capable. Based on the results of questionnaire data analysis, it is known that the difficulties faced by students in writing negotiating text are that students often have difficulty determining the right choice of words because of their limited understanding of diction and students often have difficulty in determining the structure of negotiating text writing.
Difference between Similars: A Novel Method to Use Topic Models for Sensor Data Analysis

We propose a novel method to use the topics obtained by topic modeling for sensor data analysis. This paper describes a case study where we perform an exploratory data analysis of manufacturing sensor data by using latent Dirichlet allocation (LDA) as a tool to discover remarkable change patterns. Our target is a set of time-series data originating from the sensors installed in a closed factory environment. Each sensor gives a different type of measurement of the same manufacturing process, which is operated repeatedly in a lot-by-lot manner. We first discretize the data based on the histogram of sensor measurements and construct a bag-of-words representation. We then apply LDA to discover change patterns across tens of thousands of lots. When we apply LDA to natural language documents, the resulting topics are widely different from each other because the documents intrinsically show considerable diversity. In contrast, our data, which come from the repeatedly operated manufacturing process, only show limited diversity. As a result, LDA provides topics closely similar to each other. Our main and unexpected finding is that the difference between similar topics is useful in discovering remarkable change patterns. We performed an experiment over the data sets containing sensor measurements collected in the factory. The results have revealed that subtle difference between very similar topics often corresponds to an interesting change pattern of sensor measurements.
ANALISIS PENGARUH PENERAPAN SISTEM INFORMASI AKUNTANSI TERHADAP KINERJA SISTEM INFORMASI AKUNTANSI DI PT PERTANI (PERSERO) WILAYAH JAWA TENGAH DAN DAERAH ISTIMEWA YOGYAKARTA

the application of accounting information systems on the performance of accounting information systems at PT Pertani (Persero) in the Central Java Region and the Special Region of Yogyakarta. the sample amounted to 54 respondents taken by purposive sample method or only those that meet certain criteria such as in the section that relates only to this study. Hypothesis Testing is known that the value of t count for User Participation in the Development of SIA (X1) = 2.529> t table 2.0057 and significance level 0.033 t table 2.0057 and significance level 0.037 t table 2.0057 and a significance level of 0.003 t table 2.0057 and significance level 0.032 t table 2.0057 and significance level 0.024 t tabel 2,0057 dan tingkat signifikansi 0,0 33 t  tabel 2,0057 dan tingkat signifikansi 0,037 t tabel 2,0057 dan tingkat signifikansi 0,0 0 3 t tabel 2,0057 dan tingkat signifikansi 0,03 2 t tabel 2,0057 dan tingkat signifikansi 0,0 24 < 0,05 dengan  = 0,442 dengan arah positif artinya Program Pelatihan dan Pendidikan Pengguna (X5) berpengaruh positif signifikan terhadap Kinerja SIA (Y) . Kata Kunci : Kinerja, Sistem Infomasi Akuntansi, Partisipas Pengguna, Kapabilitas Personal, Dukungan Manajemen Puncak, Formalisasi, Program Pelatihan dan Pendidikan
Cybersecurity through Inoculation

In today's world, cyber-attacks are at the forefront of nearly every major economic and military power. Like a disease, some software viruses invade vulnerable Information Technology (IT) systems without warning and quickly spread from machine to machine at lightning speed. In some instances, the cyber-attack can severely disrupt the operations or even damage the integrity of an organization or agency. As humans, we have learned to control plagues and outbreaks at the source though various means and methods of isolation and inoculation. Why then should we not tackle cybersecurity vulnerabilities at the source and not simply react at the onset of an attack? Over the years, commercial industries have adopted and implemented ISO standards aimed at increasing quality and reliability of their products. The Defense Logistics Agency (DLA) has established Qualified Product/Supplier/Manufacturers/Distributors Lists (QPL, QML, QSLM, QSLD) as a means to control and eliminate the likelihood of counterfeit parts from penetrating DoD supply chains. It is time for similar standards and techniques to be established and implemented for cybersecurity.
P. C. Vaidya’s Contributions to Mathematics and Physics

educationist and a follower of Gandhian philosophy in post-independence India
Interpretation of Artificial Intelligence Algorithms in the Prediction of Sepsis

Despite the rise of Artificial Intelligence (AI) algorithms and their applications in various fields, their utilizations in high-risk fields like healthcare and finance is limited because of the lack of interpretability of their inner workings. Some algorithms are interpretable, but not accurate, whereas some produce accurate results and not decipherable. Research is underway to explore the possibilities to interrogate an AI system, and ask why it makes certain decisions. This paper aims to investigate the decision-making process by AI algorithms in the prediction of sepsis based on patients’ clinical records.We were ranked 59 in the PhysioNet/Computing in Cardiology Challenge 2019 and the utility score obtained on the full test set is 0.131, and our team name was ARUL.
Earthquake instrumentation node with MEMS sensors

Earthquake monitoring has always been a vital application for human safety. This work proposes an implementation of an instrumentation node for earthquake monitoring that combines the recent advances in portable instrumentation systems (e.g. IoTs), along with the latest development in MEMS sensors. The focus is on creating a measuring node optimal for such a case study, meaning high accuracy measurements, smart and adaptive functionality and minimal energy consumption.
Image Noise Removal Techniques : A Comparative Analysis

In recent years, the digital images use has increased dramatically in various domains in life such as scientific, medical, military and other, for several reasons including the data didn't loss quality during copying or transfer, the ability to modify or correct the images later easily, ability to display images on electronic and digital devices and other features.Digital images are exposed to the different types of noise during capture, storage or other factors that affect their quality, so it is necessary to remove these noises with preserving the image as much as possible.The removal of noise from images is a major task in the field of image processing, because it affects the quality of the image and leads to the loss of some of its important information through the impact of noise on it.To remove the noise in the images, different image filtering techniques are used.In this research, the main challenge was to conduct analytical study on the work of filters mean, medium, weiner2 used to remove the types of noise proposed in this research, such as salt and pepper noise, speckle noise, Poisson noise (shot noise), Gaussian noise.The study will explain the causes of these types of noise and their impact on the images, in addition to how to remove them from the images will also be a comparison between the types of filters and their ability to remove noise according to specific criteria.
Learning phonotactic-like regularities in immediate serial recall.

Learning a spoken language requires learning a phonological inventory and phonotactics, or the sequences of phonemes possible in the language. Laboratory investigations of phonotactic learning include tongue-twister studies that show that speech errors respect artificial phonotactic constraints, for example that /k/ never appears as a syllable onset. The current research investigates whether errors can reveal similar learning in nonlinguistic domains, specifically in immediate serial recall studies. In Experiments 1-3 participants recalled sequences of 6 items, grouped into two 3-item subsequences, in verbal immediate serial recall experiments. Some items were restricted to appear in specific sequence positions while others were unrestricted, as a parallel to the artificial phonotactics learning experiments. As with speech errors, recall errors with restricted items showed sensitivity to the statistical regularities built into the experiment. Similar results are shown for both absolute and probabilistic constraints. However, learning effects were weaker than in the phonological domain, and were less influenced by hierarchical structure than what is observed in phonotactic learning (Experiment 4). Taken together, these results suggest that there are both domain-general and language-specific constraints on phonotactic learning. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Effects of Games and How Parents Overcome Addiction to Children

A child is a human being who is experiencing growth development. In its growth, there is an essential part that must be controlled in order to make the child smart. That part is the brain. The brain has the function to regulate and carry out all commands to all parts of the human body. Brain function has its greatness. Each child has a different way of working the brain. The function of the brain can be different for each child. However, brain function can change as the child develops into adulthood. Brain function can change with the child's frequency of playing games. Some games can change brain function for the better; on the contrary, some games can make a child addicted to forgetting other essential things. There are several parts or types of games that have their respective effects. Some of these games can improve brain function for the better, while some can weaken the brain function of children and can make addiction. It is a negative thing. The author tries to give recommendations for games that play a role in changing the brain function of children and also provide solutions to children who are addicted to games. Based on the results obtained, it can be seen that educational games educate more and avoid addictions. Game addiction occurs in games that are entertainment. This game can cause children to have bad behavior. Educational games play a role in teaching children to be better.
Implementation and Analysis of Signal Tracking Loops for Software Defined GPS Receiver

Software defined GPS receiver has been developing because it can be processed advanced signal algorithms and also developed for precise navigation.Signal processing modules such as signal acquisition, signal tracking and navigation demodulation are implemented in software to estimate the receiver position, velocity and time (PVT).Signal tracking is important task in order to estimate the receiver's and satellites position by demodulating navigation bits which are obtained from this.In this paper, implementation and analysis of signal tracking loop is mainly described and there are two main tracking loop as carrier and code tracking loop on GPS L1 signal.Delay Locked Loop (DLL) is to track code delay or code phase of GPS Coarse or Acquisition (C/A) code while Phase Locked Loop (PLL) is used to track GPS L1 carrier frequency as well as Doppler Frequency Shift.The implementation of DLL and PLL, and analyses of parameters which effects on navigation bits is also briefly discussed.The results confirm the analysis of signal tracking loops for software defined GPS receiver based on the experimental studies.The real time applications for software defined GPS receiver are very important to implement the navigation system in future because of the effective analyses on theoretical consideration.
Visualization of Dynamic Resource Allocation for HEVC Encoding in FPGA-Accelerated SDN Cloud

This paper describes a demonstration setup to visualize dynamic resource allocation for real-time HEVC encoding services in FPGA-accelerated cloud. The demonstrated application is Kvazaar HEVC intra encoder, whose functionality is partitioned between FPGAs and processors. During the demonstration, several encoding services can be invoked with requests to the resource manager, which is responsible for allocation, deallocation, and load balancing of resources in the network. The manager provides JSON data to the visualizer, which uses D3 JavaScript library to visualize 1) the physical network structure; 2) running services; and 3) performance of the network elements. This interactive demonstration allows users to request new video streams, view the encoded streams, observe the visualization of the network and services, and manually turn on/off resources to test the robustness of the system.
An Empirical Study Based on the Teaching Quality and Related Issues of Japanese Education in Colleges and Universities

China’s social and economic development has developed rapidly in recent years. International trade is getting closer and closer, trade and cultural exchanges with Japan have increased year by year. China’s foreign policy gradually develops towards internationalization. Japanese language plays a very important role in the process of friendly cooperation between China and Japan. At this juncture and circumstances, many universities have added Japanese language majors in order to improve the Japanese language communication skills among domestic college students and learn more about Japanese language and culture. Compared with English, Japanese is not a widely spoken language. Moreover, the Japanese language is used less frequently and has a smaller range of application. At present, Japanese has not become a major language communication tool for Chinese and as well as for foreign communication. Some universities still use the traditional teaching methods of the past to teach Japanese language. Teachers are not capable enough, it simply cannot meet the actual development needs of modern society, which requires us to pay enough attention to the teaching of Japanese in colleges and universities, in our work we summarize the problems existing in the teaching process of Japanese language today, and formulate corresponding perfect countermeasures.
Cardiovascular Tree Recognition and its Three-Dimensional Reconstruction from Monoplane X-Ray Angiography Based on Spatio-Temporal Constraints

In this paper, we propose a new method of collaborative matching based on spatio-temporal constraints (COMSTC) that can be used for three-mensional (3D) reconstruction of monoplane X-ray coronary angiography. The main idea of this method is that, under the guidance of the multi-scale sptio-temporal expectation model (MSSTEM), the constraint relationships such as the time of the contrast agent flow, the spatial distribution of vasculum primitives, anatomical structure, and topological similarity are collaboratively used to distinguish the homonymous vasculum primitive pairs of dual-perspective angiogram pairs of the sequence. As can be seen from the experimental results, the MSSTEM of the vascular tree in this paper is used to guide matching of the blood vessels systematically starting from the root, which solves the problem of individual diversity, and the controllability and robustness are satisfactory. Iterative matching and searching using the maximum potential descent method improve the matching accuracies of pairs of vasculum primitives and pairs of points on vasculum primitives, and guarantee a more reliable automatic 3D reconstruction of the dual-perspective angiography images.
The Effects of Anxiety Toward Acehnese Students' English Speaking Ability

In this study, we analyzed the effects of speaking anxiety of Acehnese students in English learning classroom by looking at the causes of students’ speaking anxiety and their strategies in coping with it. The researchers used purposive sampling to select the participants of this research. Ten respondents from sophomore students of Department of the English Education at Teacher Training Faculty of Ar-Raniry State Islamic University in Aceh, Indonesia were selected by identifying their answers of Foreign Language Speaking Anxiety questionnaires developed by Horwitz et al. (1986). To have in-depth information on the subject matter, a semi-structured interview was employed. The results of this research showed that speaking anxiety caused some negative effects to Acehnese students’ speaking ability, which could be observed through the difficulties in constructing sentences and expressing the idea when they spoke in the target language. Low self-confidence, lack of competency, and being afraid of making mistakes were some of the factors considered as the major causes of speaking anxiety that could debilitate students’ classroom participation.
Convergence Media Platforms As A Mean Of Media Education

The authors examine the creation of converged media platforms as key factors in the changing educational space.The article reveals the innovative methods of the teacher's activity, in practice realizing the concept of WEB 2.0, acting in the form of one of the core components of the media competence of the modern teacher.The teacher's work with media texts presupposes the formation of new management techniques with the aim of quickly creating an original information product for its further placement in different media environments and focusing the attention of the target audience.The expansion of modern creolized texts, based on verbal, iconic and auditory elements, became possible, thanks to the previous systems of mass media communication.Along with the increased interest in the world of communication, the educator has a special responsibility: it is necessary to maintain and develop a culture of understanding the relationship between the current system of mass media and the previous ones.The article focuses on the analysis of the problems of interrelation between the communication culture and the genesis of society, media education as an important component of Russia's modernization, the role of the teacher in the formation of a modern educational environment.
A Python-Verilog Toolbox for Modeling of a Hadamard Gate Based on Position-Based CMOS Qubits

Quantum operation based on CMOS technology has suddenly become popular. Among key challenges for the design and optimization of such structures operating in the quantum regime are the ability to simulate the quantum behavior and to integrate the quantum core with the rest of surrounding (classical) circuity. In this paper, we develop a quantum library for semiconductor position-based qubits and further discuss the appropriate physical formalism and methodology. The resulting toolbox implements a Hadamard quantum gate established through a Python-Verilog interface.
Neutrosophic Extended Triplet Group Action and Burnside’s Lemma

The aim of this article is mainly to discuss the neutrosophic extended triplet (NET) group actions and Burnside’s lemma of NET group. We introduce NET orbits, stabilizers, conjugates and NET group action. Then, we give and proof the Orbit stabilizer formula for NET group by utilizing the notion of NET set theory. Moreover, some results related to NET group action, and Burnside’s lemma are obtained.
The Economic and Strategic Motives for Antidumping Filings

This paper takes a critical look at the trends in worldwide antidumping (AD) case filings during the last two decades. We examine the motives for AD filings by countries in an attempt to identify whether economic or strategic concerns are driving the recent upsurge in AD use. We begin by providing a comprehensive overview of the data on cases initiated in the 1980 to 1998 period. We then use non-parametric methods to identify national motivations for the use of antidumping. Results show considerable support for the importance of strategic concerns in driving AD case filings. This suggests that the rise in AD activity cannot be solely explained by an increase in unfair trading practices.
Aplikasi Managemen Surat Berbasis WEB pada SMK Negeri 1 Boyolali

The study entitled Building a web-based mail management application at SMK Negeri 1 Boyolali has the aim to develop a mail management information system in accordance with the administrative requirements of the archives section, simplifying the process of finding incoming and outgoing documents, structuring better mail archives. The research method used to solve various problems that occur is first to collect data. Data collected through observation, interviews and literature study. The next stage is the development of systems that use the waterfall method. This method consists of the stages of system planning (system engineering), needs analysis, design, program writing, testing and system maintenance. The result of his research is that the application is able to shorten the time in the process of managing incoming and outgoing mail, making it easier for users to manage agenda papers, making dispositions, and searching the archive of letters easier and faster.
Developing English Children Learning Media through Lyrics Visualization

The significant development of preschools in Indonesia requires improvement in various aspects such as in the quality of the teachers, facility, teaching and learning media and materials. That is why, the preschool stakeholders must be creative and innovative in running the teaching and learning process. One of ways is by introducing English for the students. English actually is not a new thing for children. They have recognized English through gadget and television programs. Commonly, those media introduce English through songs for attracting the children attention. Unfortunately, children often only follow the rhythm and lyrics without understanding the meaning. The present study is to design English book for children which accommodates the need of learning English meaning through lyrics visualization. By applying the research and development, the researcher found that both teachers and children from Kangaroo School 2 Kalasan admitted that they were able to understand the meaning easily. They also could play dancing while singing by copying the illustration given on the book. Keywords: Lyrics, Children, Visualization
Reasoned bargaining protocol in construction contracts using a novel Bayesian game

The objective of this paper is to provide new insights on some dimensions of the bargaining process - asymmetries and uncertainties in particular by using a Novel Expert Bayesian Game (NEBG). We develop decision support system for determining the price in construction supply contract. Our results confirm that uncertainty affects negotiators' behaviour and modifies the likelihood of a self-enforcing agreement to emerge. The validation analysis revealed that a novel approach to Bayesian Network (BN) construction by combining domain knowledge from experts possessing incomplete observation data substantially improved the estimation ability of negotiators. Exhibiting a high success rate and profit as well as short-negotiation time, the proposed model is superior to those reported in previous research.