Reviewerly/exHarmony huggingface dataset:
AN ERROR ANALYSIS ON THE USE OF SIMPLE PAST TENSE IN WRITING NARRATIVE TEXT

Widiastuti, Herlina.2020. “An Error Analysis on The Use of Simple Past Tense in Writing Narrative Text”. A Graduating Paper. English Education Department of Teacher Training and Education Faculty State Institute for Islamic Studies (IAIN) Salatiga. Couselor: Hanung Triyoko, S.S., M.Hum., M.Ed. This study is about an analysis of using simple past tense in writing narrative text made by eleventh grades students of SMK Muhammadiyah 2 Ngawi. The result of this research showed that there are four types of errors that made by students. There are: error of omission, error of addition, error of misformation, and error of misordering. From the data analysis, the researcher found that the dominant error is error of misformation with 40% or 14 errors and the lowest error is error of misordering with 8,57% or 3 errors. Key words: Error, Writing, Simple Past Tense, Narrative Text.
The Influence of Happiness Based on the Students of Neural Networks -An Empirical Study in Qinhuangdao

Yu, W.; Zheng, X., and Han, W., 2020. The influence of happiness based on the students of neural networks -an empirical study in Qinhuangdao. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue No. 112, pp. 275-278. Coconut Creek (Florida), ISSN 0749-0208.This article takes the Elderly University of Qinhuangdao, a coastal city in China as an example, adopting the Newfoundland Memorial University Happiness Scale to measure the student's happiness score, selecting five variables - the students' gender, living status, education level, major (department) and school learning time - to be used as the main factors of affecting the happiness of senior college students, to construct BP neural network and quantitatively explore the influence of each factor on their happiness. The results of the study show that female students' happiness is higher than that of male students, the level of their happiness is directly related to their living conditions, improved education can increase their happiness, their happiness is directly related to their major, and the longer students learn in school, the higher their happiness will be.
Comparison Of Firefly Photinus Algorithm With Tidal Force Firefly Algorithm For Global Optimisation

- Particle Swarm Optimization (PSO) is a widely used metaheuristics algorithm based on thecollective movement of birds or such species. Firefly algorithm (FA) is a modification of conventionalPSO and getting high acceptance in engineering problems due to faster convergence and robustness.But there is a serious drawback of getting trapped into local optima with FA. A balance betweenexploitation and exploration is necessary for avoiding such a situation. This paper investigates furthermodification to FA to avoid this limitation. Two such modifications are considered for examination,Firefly Photinus Algorithm (FPA) and Tidal Force Firefly Algorithm (TFFA). FPA is based on thebehaviour of Photinus fireflies and is developed by incorporating a forbidden mate list into thealgorithm. A time-dependent absorption coefficient is also introduced. In TFFA the firefly attractionis modified by the tidal force equation. The concept of opposition-based Reinforcement Learning isalso included in the algorithm for minimizing the bias due to the initial selection of thepopulation. Four standard benchmark optimization functions are used for testing the algorithms. BothFPA and TFFA give good convergence with TTFA having an edge over the other.
THE INFLUENCE OF M-LEARNING BASED RYLEAC LEARNING MODEL TOWARDS STUDENTS’ CHARACTER IN SMA 1 STATE SENIOR HIGH SCHOOL IN GORONTALO

The present study aimed at investigating the influence of M-learning based Ryleac learning model in dynamic electricity topic towards XII class students’ character in SMA 1 state senior high school in Gorontalo. This pre-experimental research employed one-shot case study and quantitative approaches in elaborating the aforementioned learning model’s impact towards the students’ character. The results showed that the percentage of students’ character (comprising honesty, discipline, hard work, and self-reliance) was as follows: 54.05% of the students arrived at very good category, 21.43% were at good category, 15.47% were at moderate category, and 9.05% were at bad category. Meanwhile, no single student showed very bad character. In other words, 75.48% of the students in XII5, XII6, and XII7 class were at very good and good category, while the rest 24.52% were at moderate and bad category. The numbers indicate that the aforementioned learning model was impactful to the students’ character. Article visualizations:
Privacy Pass: Centralization Problem Statement

This document discusses the problems and mitigations associated withstrict upper bounds on the number of Privacy Pass servers in theproposed Privacy Pass ecosystem. It documents a proposed problemstatement.
A New CPU-FPGA Heterogeneous gStore System

In this demonstration, we present a new CPU-FPGA heterogeneous gStore system. The previous gStore system is based on CPU and has low join query performance when the data size is too big. We implement a FPGA-based join module to speed up join queries. Furthermore, we design a FPGA-friendly data structure called FFCSR to facilitate it. We compare our new system with the previous one on the LUBM2B dataset. Experimental results demonstrate that the new CPU-FPGA heterogeneous system performs better than the previous one based on CPU.
APLIKASI DATA MINING UNTUK MENEMUKAN ATURAN ASOSIASI PADA TRANSAKSI PEMBELIAN BARANG DENGAN MENGGUNAKAN ALGORITMA APRIORI (STUDI KASUS : 212 MART TANJUNG UBAN)

Goods purchase transactions data in minimarket which has been kept, has many informations that we can mine it using data mining techniques, such as the information about associations on consumer purchases and the clusters of existing consumers. In this research, conducted a search to find the pattern of goods connectedness based on goods categories by using apriori algorithm. The data that used in this research is the data from goods purchase transactions in 212 mart Tanjung Uban began from November 2018 until January 2019. The testing is done by input minimum support and confidence values. Based from the test result conducted with changes the parameter of minimum support and minimum confidence values, it can be concluded the results of association rules is “if the costumers buy kecap, then the costumers will buy makanan ringan”.
Video Investigation Analysis System Enhanced by Explicable Model

In view of problems of the existing video investigation systems that there are single data collection methods, low efficiency of viewing video clues, less means of actual combat application, and contact and combination of multiple cases which are not effective enough, a multi-source sensing data fusion system is constructed, and an explicable model is applied to enhance the human-machine fusion decision-making. According to actual profession requirements, an application platform of video investigation actual combat is structured, and a framework design of video investigation analysis system is proposed that can be enhanced by explicable models, which can improve the efficiency of video investigation work. Finally, the system implementation approach is pointed out, which is based on core products of relevant mainstream manufacturers.
Псевдовипадкові дискретні послідовності для стеганосистем з використанням технології прямого розширення спектра

We consider pseudorandom sequences (signals), which are used for information-hiding in cover images. Spread spectrum image steganography is used for the hiding, the essence of which is modulating information data with long pseudorandom (noise) sequences. Messages take the form of noise, and it is extremely difficult to detect such transmission. We investigate different ways of discrete signals generation and estimate the error rate in message restoration. It appears, the way of discrete signals generation influences on the error rate and we prove the choice of the most suitable signals. Moreover, we estimate distortions of the cover image as a result of data-hiding. The article mainly contains the results of experimental researches, which can be useful in justifying various ways of building direct spread spectrum steganographic systems.
Reengineering the public library system of india through public-private partnership

The public library system in India obliges pressing serious cosmetic touch up. An enormous financing and support service system is required for public libraries in India today to make them true information resource centers for individuals. Public-Private Partnership (PPP) is the best answer for changing the current state of the public library system of India. This will support the overall development of people, in the general library framework and guarantee the procurement of valuable information services. This paper gives a fundamental thought towards the current status of public libraries in India and the necessity for change through a public-private partnership.
Ambiguity Resolution : An Analytical Study

Natural language processing (NLP) is very much needed in today’s world to enhance human-machine interaction. It is an important concern to process textual data and obtain useful and meaningful information from these texts. NLP parses the texts and provides information to machine for further processing. The present status of NLP’s computational process of identifying the meaning (sense) of a word in a particular context is ambiguous, where the meaning of word in the context is not clear and may point to multiple senses. Ambiguity in understanding correct meaning of texts is hampering the growth and development in various fields of Natural language processing applications like Machine translation, Human Machine interface etc. The process of finding the correct meaning of the ambiguous texts in the given context is called as word sense disambiguation (WSD). WSD is perceived as one of the most challenging problem in the Natural language processing community and is still unsolved. It is evident that different ambiguities exist in natural languages and researchers are contributing to resolve the problem in different languages for successful disambiguation. These ambiguities must be resolved in order to understand the meaning of the text and help to boost NLP processing and applications. Objective is to investigate how WSD can be used to alleviate ambiguities, automatically determine the correct meaning of the ambiguous text and help to boost NLP processing and applications. Resolving ambiguity for translation involves working with various natural language processing techniques to investigate the structure of the languages, availability of lexical resources etc. Word Sense Disambiguation (WSD) in the field of computing linguistics is an area which is still unsolved. This paper focus on the in-depth analysis of such ambiguity, issues in Language Translation, how WSD resolves the ambiguity and contribute towards building a framework.
ความฉลาดทางอารมณ์ที่ส่งผลต่อการปฏิบัติงานตามเกณฑ์มาตรฐานการปฏิบัติงานของผู้บริหารสถานศึกษา สังกัดสำนักงานเขตพื้นที่การศึกษามัธยมศึกษาเขต 9 จังหวัดนครปฐม

This purpose of this study  were : 1) to study emotional intelligence of school administrators. 2) to study the level of performance in accordance with the standard of performance of school administrators., and 3) to study the emotional intelligence of administrators in educational institutions that affect the performance according to the criteria of school administrators' performance standards under the Office of Region 9, Nakhonpathom. The sample were 182 personal by stratified random sampling by using ‘sample size table’ confidence level of 95% by Krejicie& Morgan comprising  29 school administrators, 28 deputy Director of the school, 96 Head of Learning Groupand 29 Leader student development activities. The instrument for collecting the data was a five – point rating scale questionnaire, The statistics for analysis the data were mean, standard deviation, Pearson’s Correlation analysis was used to find the correlation of the factors and multiple regression analysis.The research found that :Emotional intelligence of school administrators. The Overall levels is veryhigh. Considered from each side found. Internal capabilities Interpersonal skills General mood and stress management .Are in high order, respectively. The ability to adapt. At the moderate levelPerformance according to the standard of performance of school administrators. The overall level is very high. The search and use of information in the development of educational institutions, the development of the educational program of high quality schools can be practiced effectively, the work of the school is emphasized permanently at the first 3 levels. Can work to full capacity. Were moderate.Emotional Intelligence General mood Adaptability Interpersonal skills And stress management had the effect on the performance standard of school administrators under the Office of Region 9 Education Service Area, NakhonPathom Province. At the .05 level, the predictive coefficient can be written as a regression equation from the raw scores and standard scores.As follows.             Equation of regression analysis in raw score form is   Y = .102 +.339(X5) + .271(X3) +.263(X2) +.124 (X4)            Equation of regression analysis in standardized form is   Z = .347(Z5) + .289(Z3) +.255(Z2) +.114(Z4)
WMU Research Guides: Library Collections Budget Reduction: Home

This guide provides information about the University Libraries strategies for absorbing the budget reduction and rebalancing our collections in order to address the financial contraints affecting our university.
A Study of Human Balance and Coordination Using a Head Mounted Display

Abstract This paper reports on an experiment in human subject balance and coordination using a HTC Vive head mounted display to create a virtual environment. For the experiment, 30 male human subjects of college age and 30 female subjects of college age were asked to navigate along a clear path in a virtual world using a controller with their dominant hand and asked to balance a virtual ball on a virtual plate using the other controller in the non-dominant hand. The test subjects moved along a clearly marked path, with three surprise obstacles occurring: a large rock landing near the path, and explosion near the path, and a flock of birds coming across the path. Data included 6 degree of freedom trajectories for the head, and both hands, as well as data gathered by the computer system on ball location and velocity, plate location and velocity and ball status. Likert scale questionnaires were answered by the test subjects relative to video game experience, sense of presence, and ease of managing the ball movement. Statistics showed that the male students dropped the ball less frequently at p = 0.0254 and p = 0.0036. In contrast, female students were aware of their performance with correlation levels of 0.632 and 0.588.
Proxy, User Options, and Project Options

In the last chapter, we saw some basics of Burp Suite installation, setting up the vulnerable application and configuring different browsers to work along. In this chapter, we’ll get started with some basics of Burp Suite proxy along with several user and project options.
A response to Peretti and his article “Electronic tagging: A ‘modern-day ball and chain’ or a ‘tool for rehabilitation’?”

According to political leaders, crime prevention justifies the use of monitoring or probation mechanisms. The former is used throughout criminal proceedings and takes the form of electronic tagging. From a legal perspective, electronic tagging can take several forms, which are becoming increasingly varied. However, this diversity has come to impair the mechanism’s original analysis. Indeed, the purpose of integration and rehabilitation seems to be neglected. The present study focuses on all the different forms of electronic tagging and aims to show this weakening of the purpose of rehabilitation in favor of new criminal justice priorities, such as the fight against prison overcrowding and the surveillance of people considered to be dangerous.
Development of Cotton Pest App for Decision Making among Cotton Farmers

Aims: In this paper Cotton Pest App is designed to identify the leaf disease in cotton at early stage. Cotton Pest App is an innovative application that is useful for farmers.&#x0D; Methodology: The farmers can capture the images in the cotton field and upload the images. Cotton API is created and placed in cloud services. Images taken from farmers field matches with Cotton API and gets the TNAU recommendation for the cotton leaf diseases.&#x0D; Results: Cotton Pest App for pest management in cotton will analyze and provide an accurate recommendation to farmers about the type of pesticide for the symptoms given through the images.&#x0D; Conclusion: This paper expresses the idea about the creation of Cotton Pest App, an android application that helps to make management decision for cotton leaf symptoms. The study would provide a better understanding of the management practice required for the cotton leaf disease.
Constructing a qubit POVM from quantum data

Abstract Given an ensemble of qubits, which we are told consists of a mixture of two pure states, one with probability η 0 and one with probability η 1 , we want to find a POVM that will discriminate between the two states by measuring the qubits. We do not know the states, and for any given qubit, we do not know which of the two states it is in. This can be viewed as learning a POVM from quantum data. Once found, the POVM can be used to separate the remaining qubits in the ensemble into two groups, corresponding to the two states present in the ensemble. In order to find the POVM, we need more information about the possible states. We examine several cases. First, we suppose that we know that the Bloch vectors of the states lie in the x – z plane and their a priori probabilities are equal. We next keep the restriction to the x – z plane, but allow the a priori probabilities to be different. Finally, we consider the case in which the Bloch vectors of the states have the same z component.
Individualization of teaching mathematical logic in the electronic environment

The rapid development of digital technologies and the direction of education modernization, which takes into account the individual characteristics of students, allows us to talk about the need to ensure the individualization of the educational process in the electronic information and educational environment. Adaptive e-learning courses are a promising means of individualizing the educational process, providing the construction of individual learning trajectory based on the level of academic performance, perceptual modality and the level of student activity in the electronic environment. The experimental work was among students of the program 09.03.02 "Information systems and technologies" of the Siberian Federal University. The experiment involved 115 students in the study of the discipline "Mathematical Logic". Analysis of observations and evaluating the effectiveness of adaptive e-learning course in the educational process was carried out using the Kruskal–Wallis test by ranks. As a result of the experiment, it was revealed that at the beginning of the experiment there were no statistically significant differences in the groups (χ2 = 0,26005, p = 0,6101), at the end of the experiment, p &lt; significance value 0,05 (Kruskal-Wallis χ2 = 127,57, p &lt;0,001). This indicates that the compared groups are significantly different and the experimental hypothesis about the effectiveness of introducing the developed adaptive e-learning course into the educational process is confirmed. These results demonstrate that the introduction of adaptive e-learning courses, which ensure the construction of learning trajectories, into the educational process, is effective and has a good potential for the individualization of teaching mathematical logic in an electronic information and educational environment.
STUDYING THE EFFECT OF HIGHWAY CHARACTERISTICS ON GUTTER DESIGN BY SIMULATION MODEL

Gutters are used to drain water way off to the Inlet. This process significantly reduces the phenomenon of hydroplaning and thus reduces traffic accidents. The main objective of this study is to evaluate the effect of the characteristics road (manning's coefficient, longitudinal slope, and cross slope) on the capacity of gutter, and spread as well as the change which was clarified for all gutters types. Two simulation models have been developed in this study, which represent the major components of the system. These models are spread Model (SM), Gutter Capacity Model (GCM), and the first model studies spread if rain information is available, while the second model studies a gutter capacity if no rain information is available. The study reached at the conclusion: gutter capacity is inverse proportion with manning’s coefficient and directly proportional with cross slope and longitudinal slope for road. Affect spread is different according to form gutter.
Look It Up: Utility Locating Terminology

If you find yourself confused by some of the words being used in the field of utility locating. You are not alone. So, we have put together a practical ...
UIC TLG and TSG meetings held on 18 and 19 October – UIC Communications

On 18 and 19 October, 25 railway representatives took part in a virtual meeting of the Ticket Security Group (TSG), chaired by Kurt De Vriendt, and the Ticket Layout Group (TLG), chaired by David…
PENERAPAN METODE MIND MAPPING DALAM PEMBELAJARAN IPS KELAS V DI SEKOLAH DASAR(Penelitian Tindakan Kelas Pada Kelas V Tema 7; Peristiwa dalam Kehidupan di SDN Pucung III Kecamatan Kotabaru Kabupaten Karawang Tahun Ajaran 2019/2020)

This Research aims to improve the ability to understand student concept IN IPS material in Theme 7 Sub Theme 1: National event of the colonial period is still low. This research aims to improve the understanding of IPS concept through the application of mind mapping methods. The Mind Mapping method is an effective method used to develop ideas through a series of maps. This type of research is class action research (PTK) using a spiral model of Kemmis and Taggart. The stages of each cycle include planning, execution, observation, and reflection. The subject of this study is a grade V student AT SD Negeri Pucung III which amounted to 37 students. The data collection methods used are observations, tests, and documentation. The research Data is analyzed in a qualitative and quantitative descriptive. The results showed that learning with the application of mind mapping methods can improve the understanding of the CONCEPT of IPS in the class V elementary School of Pucung III. Based on the results of the tests obtained at each end of the cycle showed increased ability of understanding the concept of IPS Theme 7 sub theme 1. In cycle I occurred an increase of 21.19% ie from 63.89%, so it becomes 85.08%. A total of 35 students have reached the value of the KKM, while 2 students have not reached the value of KKM. Percentage of the average value obtained by the students that completed in Cycle II is 94.59%.