Reviewerly/exHarmony huggingface dataset:
The Effect Of Picture Word Inductive Model (PWIM) In Improving The Students’ Achievement In Writing Descriptive Text Of Seventh Grade At SMPN 6 Tarakan

AbstrakPenelitian ini bertujuan untuk mencari efektivitas dari menggunakan model Picture Word Inductive Model (PWIM) dapat meningkatkan pemahaman menulis siswa dalam menulis teks deskripsi untuk kelas 7 di SMP Negeri 6 Tarakan. Penelitian ini menggunakan desain pre-experimental. Populasi dari penelitian ini adalah 192 siswa. Sample dari penelitian ini adalah kelas 7 D yang terdiri dari 32 siswa. Penentuan sample dilakukan dengan cara teknik purposive. Instrumen yang digunakan berupa teks menulis. Data yang di proses adalah data dari pretest dan posttest. Dalam menganalisis data, peneliti menggunakan descriptif analisis dalam aplikasi SPPS 24.0. hasi penelitian ini menunjukan ada perbedaan skor rata-rata antara pretest dan posttest. Hal ini dibuktikan dengan hasil skor rata-rata siswa. Skor rata-rata siswa dalam pretest adalah 56.88 dan dalam posttest adalah 73.50. penelitian ini menunjukan bahwa nilai rata-rata siswa mengalami peningkatan nilai sebesar 16.62. Hal ini dapat dilihat pada peningkatan nilai rata-rata siswa pada posttest yang mana lebih tinggi daripada pretest dan menunjukkan ada perbedaan dari nilai menulis siswa antara pretest dan posttest. Hasil dari paired sample t-test menunjukkan bahwa t-test adalah 12.257 yang mana lebih tinggi dari t-table yaitu 2.040 (12.357 > 2.040). Dengan kata lain hipotesis nol (H0) ditolak dan hipotesis alternatif (Ha) diterima. Hasil analisis data membuktikan bahwa hasil pengajaran menggunakan Picture Word Inductive Model (PWIM) efektif dalam meningkatkan pemahaman menulis teks deskripsi pada siswa kelas 7 D di SMP Negeri 6 Tarakan. AbstractThis study aimed at investigating whether the Picture Word Inductive Model (PWIM) could improve achievement in writing descriptive text of the seventh grade students at SMP Negeri 6 Tarakan. It used a pre-experimental design. The research population was 192 students. Using a purposive sampling technique, the 7 D class which consisted of 32 students were taken as the sample. A writing test was as the research instrument. Data analyzed are data from pretest and posttest. Data taken from the pretest and posttest writing scores were analyzed descriptively and inferentially using the SPSS 24.0. The results of this study indicated that there were 16.62 points of difference in the average writing score between the pretest (56.88) and the posttest (73.50). The results of paired sample t-test showed that the calculated t value was 12,357 and the critical t value was 2,040. As the calculated tvalue was greater that the critical t value (12,357 > 2,040), the null hypothesis (H0) was rejected and the alternative hypothesis was accepted. The results of this analysis proved that the use of PWIM was effective in increasing achievement of writing descriptive text for the seventh grade students at SMP Negeri 6 Tarakan.
Investigation of the COSMIC sizing of real-time embeddedand AI software for their usage within a priori and aposteriori contexts for estimation purposes in industry

The literature on software estimation and software sizing demonstrates that software development effort has value for organizations. This research aims to operationalize a posteriori measurement of functional size of software with COSMIC-ISO 19761 standard in a company that develops real-time embedded and Artificial Intelligence (AI) software for underground mines.In practice, lack of documentation of the software functional requirements, lack of benchmark data and no usage of standard methods lead to additional constraints and new research challenges. In this research, we explore the issues of a priori measures of software based on partial information, and their uses in estimation models.We use the available resources to identify the functional requirements of developed AI and real-time embedded software solutions and size them with COSMIC method. The size of project for a software release is measured, and an exploratory data analysis (EDA) approach and descriptive statistics are adopted to develop a posteriori estimation models for these projects. In addition, an approximation technique based on iceberg analogy and requirement engineering is designed to assign scaling factor to early functional requirements, using two detailed documented COSMIC case studies.The research results demonstrate that:1. The size information of the AI and real-time embedded software solutions can be used as one of the independent variables to develop a priori estimation models for future projects;2. In AI projects, this size information can be used for estimating the amount of effort to develop an AI algorithm in such similar projects;3. The estimation models proposed based on similarity of characteristics and descriptive statistics can be used to estimate effort in the corresponding groups, based on historical data;4. The results of functionality-based approximation technique show that the data on past projects can be collected and relevant classification of functionalities can be identified and these scaling ratios can be used as a priori estimation early in the life cycle of a softwareproject.
Business-Layer Session Puzzling Racer: Dynamic Security Testing against Session Puzzling Race Conditions in the Business Layer

Parallel execution of multiple threads of a web application will result in server-side races if the web application is not synchronized correctly. Server-side race is susceptible to flaws in the relation between the server and the database. Detecting the race condition in the web applications depends on the business logic of the application. No logic-aware approach has been presented to deal with race conditions. Furthermore, most existing approaches either result in DoS or are not applicable with false positive. In this study, the session puzzling race conditions existing in a web application are classified and described. In addition, we present Business-Layer Session Puzzling Racer, a black-box approach for dynamic application security testing, to detect the business-layer vulnerability of the application against session puzzling race conditions. Experiments on well-known and widely used web applications showed that Business-Layer Session Puzzling Racer is able to detect the business layer vulnerabilities of these applications against race conditions. In addition, the amount of traffic generated to identify the vulnerabilities has been improved by about 94.38% by identifying the business layer of the application. Thus, Business-Layer Session Puzzling Racer does not result in DoS.
LibGuides: Developmental Education: Writing & Research Tips

This guide provides resources that can be used to supplement the various courses and disciplines covered by developmental education courses at HCC.
VUT Libraries: Chemistry: Database of the month - ProQuest E-Book Central

Welcome to the one-stop library guide destination for Chemistry students and lecturers. The ProQuest E-book Central – platform combines e-book content from several other ProQuest e-book platforms, into a single interface.
Потребление информации как форма проявления идентичности (Часть 1)

This article (Part 1) provides a theoretical framework of the author's original study of the relationship between the recipients' information consumption and their identities. We will describe the study itself later in Part 2 of the article.The authors consider that due to the development of the latest communication technologies, the expansion of technical capabilities for the production of information content and access to it, a new model of information consumption is being formed. Thus, it is necessary to search for new methodological approaches to studying and interpreting audience behaviour. Authors propose to consider the practices of information consumption in connection with consumer identities.The article focuses on the identity theories and the practices to study identity; it provides a detailed overview of various concepts. The authors distinguish their approaches to the description of their types of identities and the structures arising from them. In addition, in this article, the authors discuss approaches to studying information search motives and consumer behaviour in connection with the mass media.Based on the analysis of previously conducted empirical studies, the authors identify some general trends in information consumption. After studying the existing theories, the authors assume that the structure of identity sets the motive for behaviour in the search for information and acts as a criterion for accepting or rejecting an information message.
문학교육적 역설로서 ‘문학 생활화’ 교육의 문제 - 문학하기의 ‘즐거움’과 문학적 ‘통과의례’를 기제로 한 역설의 정치(正治)법-

This study aimed to recognize the problem of “practing literature” education as a literary education paradox and discuss ways to properly deal with it. “practising literature” is regarded as the content that drives the practice of literature in the learner''s life and is set as a major agenda for literature education. However, the specific viewpoint or method for realizing “practising literature” education is still ambiguous. Therefore, this study attempted to secure a concrete perspective that enables the such education to function fully by confirming its orientation and its status in literary education. From this perspective, this study attempted to establish a core mechanism for realizing “practising literature” education.The perspective of “practising literature” education that this study intends to focus on os that it is a literary education paradox, and this education is currently positioned as an antithesis of literary education. To readdress this paradox, the study developed a method that recognizes “practising literature” as a “transit point” of literature education, and penetrates literature and leap through literature simultaneously by using the “pleasure” of literature and the “rite of passage” of literature as the core mechanisms.
Readability formulas: An analysis into reading index of prose forms

Text comprehension will suffer if the readability level is not accessible to the students. Readability formulas predict text complexity, assisting in appropriate text selection that complements students’ reading abilities to improve their language development. Therefore, the study aims to find out the reading index of the prose forms in the literature component catered to lower secondary school students ages 13 and 14 years old in Form One (seventh grade) and Form Two (eighth grade) classrooms in Malaysia. The reading index is measured by using four readability formulas which are Dale-Chall, Fog, SMOG, and Flesch-Kincaid that focuses on the words, sentences, syllables, and polysyllable words. These formulas are used to predict the level of difficulty of the prose forms. The reading index calculated from these readability formulas reveals the grade level of the prose forms. The grade level indicates the best age for reading and understanding the prose forms. Two prose forms were chosen as samples in the study. A passage is chosen from each prose form to be uploaded using the online tool. The indices obtained from the readability formulas predicted that both of the prose forms were below students’ reading age. The study implicates reading index must be taken into consideration in literary texts selection because it is an indicator of the years of education that an individual requires to comprehend the literary text clearly. Suitable reading material at students’ age level can enhance literature learning and teaching in the ESL classroom.
LibGuides: Archaeology: Finding and using library resources for assignments: Introduction

Online tutorial introducing you to the skills and techniques needed when searching for information
BIO-INSPIRATION BASED FUZZY RULE OPTIMIZATION FOR SOFTWARE DEFECT PREDICTION

There are numerous data mining algorithms available to perform the software defect prediction task. The prediction of the software defect is used to improve the quality of the software and the efficiency of its maintenance system. Software defect prediction using classification algorithms was supported by many researchers. The issue related to such classifiers is that they generate more number of rules in which most of them are irrelevant and due to it there is a chance of high degree of misclassification on data instances. This leads to the necessity of using rule optimization technique which will strongly control the population of rules generated by the classifier by applying optimization approaches to eradicate the irrelevant and redundant rules.  Moreover this rule optimizer makes the classifier to improve classification performance more effectively with less time complexity. This paper is inspired on the bio inspirational approach for applying the optimization technique on the fuzzy classifier thus this proposed work adapted cuckoo search method to find the best rules and pruning the irrelevant rules produced by the fuzzy inference engine. The simulation result proves the performance of the proposed Cuckoo search based Fuzzy Rule optimizer in software Defect Prediction (CSFZSDP) in an effective manner.
Theoretical Teaching and Experimental Design of Circularly Polarized Electromagnetic Waves

Considering that the concept of polarization in electromagnetic field course is abstract and difficult for students to understand, this paper designs a new experiment of circular polarization in combination with the teaching idea of electromagnetic wave circular polarization theory. The experiment made use of the characteristic that the axial mode helical antenna is easy to observe the rotation direction, and made simple left-handed and right-handed circular polarized antennas. Combined with electromagnetic wave comprehensive experiment instrument for transceiver and observation. This teaching method combines the teaching of electromagnetic wave circular polarization theory with experiment, and helps students to learn and fully understand the difficulty of electromagnetic wave polarization in a clear and visual form. The new experiment of circular polarization teaching designed in this paper fills the blank of electromagnetic wave circular polarization teaching experiment.
Possibility of Improving Students’ Engagement and Academic Performance in Chemistry using Three-Dimentional Puzzle-Based Instructional Strategy: A Field Report

The study investigated if three-dimensional puzzle-based instructional strategy could improve senior secondary students’ engagement and academic performance in chemistry. A sample of 143 Senior Secondary 2 Students from 4 senior secondary schools in Makurdi Local Government Area of Benue State, Nigeria was used. The study adopted non-equivalent quasi-experimental research design. The instruments used for data collection were Chemistry Engagement Questionnaire (CEQ) and Chemistry Performance Test (CPT) with the reliability values of 0.89 and 0.93 using Cronbach Alpha and Kuder-Richardson respectively. Four research questions and four null hypotheses guided the study. The research questions were answered using Mean and Standard Deviation scores while the hypotheses were tested at 0.05 level of significance using Analysis of Covariance. The study revealed that there is significant difference in the mean engagement and academic performance scores between students taught Chemistry using three-dimensional puzzle-based instructional strategy and those taught using discussion method in favour of three-dimensional puzzle-based strategy [F(1,138) =2204.094, p 0.050], [F(1,67) = .172, P>0.050]. It was recommended that three-dimensional puzzle-based instructional strategy should be adopted while teaching chemistry since it has been proved to be a viable option in enhancing students’ engagement and academic performance for regardless of gender.
Pengembangan Media Big Book untuk Meningkatkan Kemampuan Berbicara Anak Usia 4-5 Tahun

This research was motivated by the low speaking ability of children aged 4-5 years in the Mekar Sari Perumnas Kindergarten. The formulation of the problem is how is the development of big book media that can improve the speaking ability of children aged 4-5 years. The purpose of this research is to find out how the development of big book media that can improve the speaking ability of children aged 4-5 years. in the Mekar Sari Perumnas Kindergarten. This type of research is development research which consist of planning, implementing, observing and reflecting. The research subjects were five children aged 4-5 years in the Mekar Sari Perumnas Kindergarten. Methods of data collection in this study using the method of observation, and documentation. The data analysis technique in this research was descriptive qualitative. The research used two stages of development with four meetings. The results obtained at the development stage I (meeting I) obtained a percentage value of (44,29%). there was an increase in stage I (meeting II) by (60,71%), at development stage II (meeting III) it increased again to reach (72,50%), at development stage II (meeting IV or last) of (82,86%). So, it is highly recommended for parents or teachers to be able to develop media that can improve children’s speaking ability, for example, such as big book.
The effect of bamboo clip dimension and position towards the frequency spectrum of a vibrating inhomogeneous bundengan string

Bundengan is a traditional musical instrument from Indonesia. One of its unique features is the ability to produce sound imitating the gamelan, a percussive metallophone. This is generated by plucking on the bundengan strings, which have small bamboo clips attached to them. In this work, the effect of the clip dimension and position on the frequency spectrum of the vibrating string is analysed by means of computer simulation and experiment. The string was modelled using Scilab, taking into account the transversal and rotational vibration of the string and bamboo clip, including air drag force. The height to diameter ratio of the clip can be varied in the model. Furthermore, we set up a bundengan string on a sonometer with no resonator, attached specially made bamboo clips on it, and measured the sound frequency spectrum of the vibrating string. The results showed that increasing the height to diameter ratio of the clip decreased the overtone frequencies of the string. It was also found that the fundamental frequency of the string decreased, but its overtones increased, when the clip is shifted towards the middle of the string. The frequency spectrum from the simulation corresponds well to that from the experiment.
A Study on Absolute Informational Status of ‘Ba-construction’

In this study, we analyzed the absolute informational status of the ‘Ba-construction’ with a new attempt to place the subjectivity of the noun phrase and the subjectivity of the proposition on the same line.<BR> Considering the absolute informational status of the noun phrase entity, the absolute informational status was different depending on the type of representation, and the informational status was different depending on the location of NP₁ and NP₂, although they were in the same format. In particular, the informational status of the noun phrase entity used in NP₂ was generally ‘discourse-old’ or ‘discourse-new⋅listener-old’ NP₁ and NP₂, expressed as basic modification phrase, have the same status of ‘discourse-old’, but the activation of NP₁ is higher than NP₂.<BR> The proposition of ‘Ba-construction’ was divided into three categories before considering the absolute informational status of it. Both ‘the propositon 1’ which refers “what NP₁ make NP₂ do is X.” and ‘the proposition 3’ which refers “the person who caused VP to NP₂ is x.” have absolute informational status as ‘listener-new’. In contrast, ‘the proposition 2’ which refers “all the participants in the discourse know what NP₂ is.” has the status of ‘discourse-old’. It was also possible to explain the characteristics of NP₂ after the word ‘把(ba)’ is always definite. In other words, it can be confirmed that the finite nature of NP₂ is not given by the noun itself, but by the form of ‘Ba-construction’.
Detection and Recognition of Face

The main objective of this work is to construct an automated human facial measurements systems from the acquiredimages and to obtain the various parts of facial features which is frequently used for facial image analysis tasks. Required partof the face is detected by identifying face by using pattern recognition algorithm. The various parts of geometric andsymmetric information of the face is used to develop an algorithm. An MATLAB R2018b tool is used for the implementationof the work.
Neural Network Approximation of Graph Fourier Transform for Sparse Sampling of Networked Dynamics

Infrastructure monitoring is critical for safe operations and sustainability. Like many networked systems, water distribution networks (WDNs) exhibit both graph topological structure and complex embedded flow dynamics. The resulting networked cascade dynamics are difficult to predict without extensive sensor data. However, ubiquitous sensor monitoring in underground situations is expensive, and a key challenge is to infer the contaminant dynamics from partial sparse monitoring data. Existing approaches use multi-objective optimization to find the minimum set of essential monitoring points but lack performance guarantees and a theoretical framework. Here, we first develop a novel Graph Fourier Transform (GFT) operator to compress networked contamination dynamics to identify the essential principal data collection points with inference performance guarantees. As such, the GFT approach provides the theoretical sampling bound. We then achieve under-sampling performance by building auto-encoder (AE) neural networks (NN) to generalize the GFT sampling process and under-sample further from the initial sampling set, allowing a very small set of data points to largely reconstruct the contamination dynamics over real and artificial WDNs. Various sources of the contamination are tested, and we obtain high accuracy reconstruction using around 5%–10% of the network nodes for known contaminant sources, and 50%–75% for unknown source cases, which although larger than that of the schemes for contaminant detection and source identifications, is smaller than the current sampling schemes for contaminant data recovery. This general approach of compression and under-sampled recovery via NN can be applied to a wide range of networked infrastructures to enable efficient data sampling for digital twins.
Solving a Circuit System Using Fuzzy Aboodh Transform

This paper proposed a new fuzzy transform that based on Aboodh transform and using this new fuzzy transform to calculate the exact solutions of first order fuzzy differential equations. To explain this approach, a related theorems and properties are proved in detail associated with some examples. In addition, this approach has been applied on physical application of an electrical circuit system.