Reviewerly/exHarmony huggingface dataset:
PENGEMBANGAN MODEL PEMBELAJARAN E-LEARNING BERBASIS EFRONT PADA PELAJARAN BAHASA INDONESIA UNTUK MENINGKATKAN EFEKTIFITAS BELAJAR SISWA SMA WIJAYA PUTRA SURABAYA

Development of learning models using ADDIE learning designs. Based on the results of the questionnaire value on media experts for the feasibility of the learning model in the excellent category, only a few improvements made the learning model more interesting. Based on the results of the Indonesian language teacher's questionnaire for the feasibility level of the learning model in the excellent category, the developer needs to heed the advice given in the hope that the product will be useful. Based on data analysis, it is known that the overall assessment in the category is very good so that it does not need to be revised. But for the sake of media perfection, developers need to heed the advice given by students in the hope that the product will be useful. In this development it can be concluded: 1) The implementation of Indonesian language lessons in the short story material using the Elearning Efront learning model is going well with very good product quality, 2) The Elearning Efront learning trial has been validated by media experts and implemented by the subject teacher and students, this product including very good, 3) Based on the results of data descriptions by media experts and test subjects, this Elearning Efront learning model is needed to support learning activities so that effective learning, 4) The results of this study indicate that the Elearning Efront learning model is able to increase the effectiveness of student learning. Suggestions that can be delivered on the development of the Elearning Efront learning model: 1) The implementation of the developed Efront application product needs to be carried out on a wider sample, 2) Provision of facilities and infrastructure such as hardware and internet networks that support, given that in general the use of the Efront application is carried out for many people and the need for internet access on a server that must always be on, 3) The need for a more attractive design of digital teaching materials so that students enjoy reading teaching material.
EFEKTIVITAS PERPADUAN MEDIA KOMIK DENGAN PEMBELAJARAN KOOPERATIF TIPE STAD PADA SISWA SD

Many studies have shown the advantages of comic media and Student Team Achievement Division (STAD) learning. The purpose of this study was to find out whether comic media can effectively improve learning activities and outcomes in class VI (six) students of SDN 7 Pulau Rimau if combined with STAD learning. The method used in this study is a descriptive quantitative approach involving 18 students. From the study, the results showed that the application of comic media in STAD learning in terms of the level of student activity, teacher activity, and student responses and student learning completeness turned out to be more increasing.
Pengembangan Media Pembelajaran Bentuk 3d Berbasis Sig Untuk Materi Bentuklahan Sebagai Dasar Pengetahuan Kebencanaan Di Sma Negeri 1 Gemolong Sragen

Lack of learning media used by teachers, especially landform material, so learning media are needed to facilitate understanding landforms. This study aims to determine the landforms in Sragen Regency, to find out the development process, and the effectiveness of teaching media in the form of GIS-based 3D on landform material with research and development methods in SMA Negeri 1 Gemolong. This study uses a development model according to Borg and Gall. This research and development design uses two groups of pretest-posttest that compares the results of the initial and final tests with respondents who are social studies teachers of class X and students of class X social studies in SMA Negeri 1 Gemolong with 29 students. The sampling technique uses two classes, namely the experimental class and the control class. The data collection method uses a pretest and posttest questionnaire. Technical analysis of data using one sample paired T-test. Based on the results of research and discussion, it is found that Sragen Regency has four landforms, namely the landforms originating from the volcanic process, landforms originating from the fluvial process, landforms originating from the denudesional process, and landforms originating from structural processes. The process of developing instructional media in the form of 3D media presented in the form of video on landform material has been through product improvement by material experts and media experts with an average value of 4.55, so it can be categorized as “GOOD”. One sample paired T-test results in the control class and experimental class showed significant results. The average value of the increase in student learning outcomes of the control class and the experimental class were 43.15% and 52.9% respectively, meaning that the experimental class was 9.75% higher than the control class, so it can be concluded that the product was effectively used. The final product evaluation results by respondents amounted to 4.32 which can be categorized as “GOOD”. So it can be concluded that the landform 3D video teaching media is effectively used to improve student learning outcomes.Keywords: media development, 3-D video maps, landforms
Word Spotting in Cluttered Environment

In this paper, we present a novelSrivastava, Divya problem of handwrittenHarit, Gaurav word spotting in cluttered environment where a word is cluttered by a strike-through with a line stroke. These line strokes can be straight, slant, broken, continuous, or wavy in nature. Vertical Projection Profile (VPP) feature and its modified version, which is the combinatorics Vertical Projection Profile (cVPP) feature is extracted and aligned by modified Dynamic Time Warping (DTW) algorithm. The dataset for the proposed problem is not available so we prepared our dataset. We compare our method with Rath and Manmath [6], and PHOCNET [17] for handwritten word spotting in the presence of strike-through, and achieve better results.
The Influence of Local Festival Policy PR on Policy Literacy and Policy Support: Analysis of the Moderating Effect of Policy Involvement

This study attempted to analyze the structural relationships among local festival policy PR, policy literacy, policy involvement, and policy support from the perspective of policy communication theory. The literature review covered the major concepts and related precedent studies. For the research design, a structural model was constructed and hypotheses were established including structural relations of policy PR, policy literacy, and policy support and the moderating effect of policy involvement. Using the purposive sampling method, survey data were collected from local tourism businesses related with the Dasan Cultural Festival in Namyangju, Kyeonggi-do. A total of 202 effective questionnaires were utilized for the analysis, and analytic methods such as confirmatory factor analysis, structural equation model analysis, and multi group analysis were used. The results of this study show that the relations among local festival policy PR, policy literacy, and policy support were significant and that policy involvement had a significant moderating effect on the relations between channel appropriateness of policy PR and policy literacy, and between policy literacy and policy support. Based on these findings, theoretical implications are discussed, and ways of enhancing policy literacy and differentiating policy PR for effective local festival policy communication are suggested.
Understanding on Morphological Process of Derivation and Inflection on The Jakarta Post Article.

Badri. 152301816. 2019. The Students’ Understanding on Morphological Process of Derivation and Inflection on The Jakarta Post Article. (Qualitative Research on English Student on Sixth Grade at The State Islamic University Sultan Maulana Hasanuddin Banten)This research investigates how students’ understanding on morphological processof derivation and inflection; and students’s ability in analyzing of derivational andinflectional morphemes on The Jakarta Post article. The aims of the researchidentify students’ understanding on morphological process of derivation andinflection; and students’s ability in analyzing of derivational and inflectionalmorphemes on The Jakarta Post article. This research used qualitative researchmethod. The instruments used in this research was observation, test, and interview.This research involves 15 English students of sixth grade at The State IslamicUniversity Sultan Maulana Hasanuddin Banten. The research finding of the lastresult showed students’ understanding and ability in process and analyzing ofderivational and inflectional morphemes on The Jakarta Post article are studentaverage can analyze three word classes that produced of derivation and inflectionsuch as on derivation; manage added –ment is management (noun), beauty added –ful is beautiful (adjective), and usual added –ly is usually (adverb), on iflection;impact added –s is impacts (noun), expect added –ed is expected (verb), and nearadded –ly is nearly (adverb); and student average can analyze two word clsses thatproduced of derivation and inflection such as on derivation; conserve added –ationis conservation (noun), name added –ly is namely (adverb), on iflection; serviceadded –s is service (noun), improve added –ed is improved (verb).Key words: morpheme, derivation and inflection.
Fighting the curse of dimensionality with local model networks

Abstract This thesis is settled in the field of data-based modeling (identification) and specifically focuses on the weakening of the effects of the curse of dimensionality with local model networks (LMNs). The methods for fighting the curse of dimensionality originate from the fields of input selection and design of experiments (DoE).
Analisis Kesalahan Berbahasa pada Surat Dinas di Kantor SDN Klampok 02 Kabupaten Brebes Tahun Pelajaran 2018/2019

There are two purposes for this research. First, to describe the form of spelling errors in official letters at the Klampok 02 elementary school office, Brebes Regency, 2018/2019 academic year, which discuss the capital writing error, punctuations error, underlines error, and italics error. The second purpose of this study is to describe the form of misuse of diction or the choice of words on official letters at the Klampok 02 elementary school office, Brebes Regency, 2018/2019 academic year, which has the opposite of words and the word efficiency. The research method of this study is descriptive qualitative research. The method used in this researsch is the method of distribution and marking reading techniques. The results of the study are to describe the form of spelling errors in official letters that go in and out at Klampok 02 elementary school, which has a) capital letters writing, b) the use of punctuation, such as dot, comma, semicolon and dash, c) writing in italics and underline. Dictions error in official letters at Klampok 02 elementary school, consists a) The standardised of the word and b) the efficiency of the word.
Dependency Parsing for Chinese Social Media Text

In this thesis, we investigate dependency parsing for Chinese social media text. In order to investigate our research questions, we conduct several parsing experiments on standard Chinese and socia ...
Teaching the Art of Computer Programming at a Distance by Generating Dialogues using Deep Neural Networks

While teaching the art of Computer Programming, students with visual impairments (VI) are disadvantaged, because speech is their preferred modality. Existing accessibility assistants can only read out predefined texts sequentially, word-for-word, sentence-for-sentence, whilst the presentations of programming concepts could be conveyed in a more structured way. Earlier we have shown that deep neural networks such as Tree-Based Convolutional Neural Networks (TBCNN) and Gated Graph Neural Networks (GGNN) can be used to classify algorithms across different programming languages with over 90% accuracy. Furthermore, TBCNN or GGNN have been shown useful for generating natural and conversational dialogues from natural language texts. In this paper, we propose a novel pedagogy called “Programming Assistant”, by creating a personal tutor that can respond to voice commands, which trigger an explanation of programming concepts, hands-free. We generate dialogues using DNNs, which substitute code with the names of algorithms characterising the programs, and we read aloud descriptions of the code. Furthermore, the application of the dialogue generation can be embodied into an Alexa Skill, which turns them into fully natural voices, forming the basis of a smart assistant to handle a large number of formative questions in teaching the Art of Computer Programming at a distance.
Making Chatbots More Conversational : Using Follow-Up Questions for Maximizing the Informational Value in Evaluation Responses

This thesis contains a detailed outline of a system that analyzes textual conversation-based evaluation responses in an attempt to maximize the extraction of informational value. This is achieved b ...
SGML to the rescue

This tutorial will explore techniques for parsing and processing HTML 5 using SGML, the original markup meta-language on which both XML and HTML are based. The tutorial will re-introduce requisite SGML concepts and introduce a new SGML Document Type Definition (DTD) grammar covering W3C's current HTML specification text.
An Efficient Hybrid Incremental Algorithm for Complex-Valued Feedforward Neural Networks

Complex back-propagation (CBP) algorithm based on gradient descent is one of the most popular optimization algorithms for training complex-valued feedforward neural networks (CVFNNs). However, it has the disadvantages of slow convergence and easy to fall into local minimum. Most of previous investigations on CVFNNs focused on the improvement of optimization algorithms while the structure was determined by the trial-and-error method, which is a time-consuming process. To solve this issue, an efficient complex-valued hybrid incremental algorithm (CV-HIA) is proposed in this paper for three-layer split CVFNNs. The size of the underlying CVFNN is adaptively determined by an incremental scheme. When the training error falls into local minimum, hidden neurons are added into the network one by one. Nonlinear parameters between neurons of the hidden and input layers are adjusted by the gradient descent method. For linear weights between neurons of the output and hidden layers, the least-square (LS) method is adopted. Experimental results on several benchmark datasets show that the proposed method not only achieves good performance, but also obtains a compact network structure.
Cell Extraction and Horizontal-Scale Correction in Structured Documents

PreprocessingSrivastava, Divya techniques form an importantHarit, Gaurav task in document image analysis. In structured documents like forms, cheques, etc., there is a predefined space called frame field/cell for the user to fill the entry. When the user is writing, the nonuniformity of inter-character spacing becomes an issue. Many times, the starting characters of the word are written with sparse spacing between the characters and then gradually with a more compact spacing so as to accommodate the word within the frame field. To deal with this variation in intra-word spacing, horizontal-scale correction is applied to the extracted form fields. The effectiveness of the system is proved by applying it as a preprocessing step in a recognition system proposed in (Almazán et al. in Pattern Anal Mach Intell 36(12):21552–2566, 2014 [2]). The recognition framework results in reduced error rates with this normalization.
IMPLEMENTASI METODE WEB ENGINEERING DALAM MEMBANGUN SISTEM E-RESERVATION PEMESANAN KAMAR HOTEL

This research was conducted at Hotel Telaga Biru Pagaralam, aims to create a new system that can overcome the problems that occur in the Hotel, especially in terms of booking rooms. The current room booking system is still done manually, which is still recorded in the book when guests check in until check out, then it is given a receipt as proof of payment in advance to the guest according to the length of the guest staying. In addition to coming directly customers can book a room by contacting the hotel by phone. For this, researchers are doing the action of making a system engineering information-based hotel reservation with the system development strategy using the Web engineering method, the tools used in the design are Unified Modelling Language (UML), in the development of this application authors use the PHP and MySql programming language as the Database of room booking systems. This system generates a system that allows customers and hotel to make bookings.
The Study on Motivation and De-motivation of Korean Learners at the Beginner Level.

The purpose of this study is to analyze the motivation and de-motivation factors of the beginner learners of Korean language. The survey was conducted for the self–determination motivation and de-motivation factors in 297 Vietnamese and Chinese learners studying at a Korean language institute in Seoul. According to the results of the study, the beginner learners of Korean language appeared to be intrinsic motivated. This study confirms previous research results that motivation is generally high in the early stages of learning. Among the de-motivational factors, ‘difficulty of learning’ was the most important factor in both groups. It is difficult to avoid the unfamiliarity and difficulties of Korean language itself, but a methodological approach to solve it in the teaching and learning process will be needed. Anxiety about learning failure also appeared to be an important motive for de-motivation, which is also closely related to external factors.
Library Resources: Lexile Guide: Find other readability formulas

This guide is meant to help faculty and students find library and open source resources by lexile score. ​
Adaptive IDEs to Support Information Foraging for Novice Programmers

There is an abundance of information on the Internet to help programmers and yet, novices may not have the expertise to utilize it. Stack Overflow, documentation for programming languages, man pages, and plenty of other resources exist that aim to help answer the questions of programmers. Stack Overflow itself has over 17 million questions that have been asked. For novice programmers, however, these resources might not be as helpful. For those who are just learning how to program, learning syntax and semantics is hard enough on its own. Foraging through multitudes of resources only adds another layer to master, and with everything else to learn, will only add more difficulties for the novices.
A Novel Non-negative Matrix Factorization Algorithm Based on Estimate Sequence Methods

Conventional non-negative matrix factorization algorithms suffer from slow convergence in high-dimensional data dimensionality reduction. In this paper, a novel algorithm is proposed to accelerate the convergence speed. Firstly, non-negative matrix factorization is divided into two convex problems. Secondly, we construct estimate sequences to optimize each sub-problem. Thirdly, we alternately solve each sub-problem until convergence. Each sub-problem is optimized with Lipshcitz continuous, and its convergence rate is demonstrated at O(1/k2). The clustering experiment shows the effectiveness and fast convergence of the proposed algorithm.
Semantic Segmentation Optimization Algorithm Based on Knowledge Distillation and Model Pruning

This paper proposes a semantic segmentation optimization method combining knowledge distillation and model pruning to reduce the total calculation and volume of deep learning models. Compared with traditional pruning, the unstructured channel pruning of semantic segmentation neural networks combined with knowledge distillation consumes less total training in model compression and less inference time in prediction. The sparse training method of knowledge distillation proposed in this paper improves the whole pruning process while keeping the accuracy of the model basically unchanged. This method improves the speed of the entire pruning process, and reduces the total number of parameters and the total amount of calculations of the model significantly.
Galveston College Library: Galveston College Library Homepage: Home

Welcome to Galveston College library. The David Glenn Hunt Memorial Library provides access to college level print and electronic resources for GC students, faculty, staff and the community.
Temporal dynamics in MT during motion discrimination with varied temporal weighting strategies

Work on perceptual decision-making has used observations of time-varying weighting of sensory stimuli to make inferences about static decision mechanisms in the brain (e.g., the efficiency of integration and/or the form of decision bounds). However, recent work has also shown temporal weighting behavior during motion discrimination is flexibly adaptable to stimulus statistics (Levi et al., 2018). Here, we manipulate temporal weighting strategy to probe the flexibility of the time course of the sensory-driven and choice-correlated responses in the macaque middle temporal area (MT). In doing so, we test how various forms of signal and noise may (or may not) propagate through the visual system to impact downstream processing and behavior. We performed extracellular recordings in MT using linear electrode arrays while a macaque performed a motion discrimination task. The task was completed under three temporal stimulus conditions: (i) Flat, where motion strength had equal statistical expectation over time; (ii) Late, where motion expectation was higher during later stimulus pulses; and (iii) Early, where motion expectation was higher during early stimulus pulses. Psychophysical reverse correlation confirmed that the observer could change their temporal weighting strategy to match stimulus statistics. We could then evaluate changes in the time course of sensory and choice-correlated responses in MT. If temporal weighting strategy is implemented by decision mechanisms after feedforward sensory encoding, the sensory-driven response should not change. However, if choice probability indicates the readout of MT spikes, temporal weighting should be evident in its time course. We characterized these response components using a generalized linear model (GLM), which allowed for statistical dissection of sensory gain from choice-related activity. Across the three conditions, the time course of choice-related activity did not map straightforwardly onto the psychophysical weighting strategy. We discuss the implications for revisions to simple feedforward models of reading out MT.
An integrated approach for network traffic analysis using unsupervised clustering and supervised classification

Traffic analysis is a significant task to control the network traffic in heterogeneous manner. The unsupervised learning system fails to expand the supervised classification model for network analysis. Several data mining techniques employed to classify the network traffic pattern using unsupervised learning approach. However, the continuous evaluation of network traffic on multi-dimensional data is a difficult task. In order to solve this issue, an integrated K-means unsupervised clustering and supervised C4.5 Classification (KUC-SC) technique is designed. At first, K means unsupervised learning algorithms is applied in KUC-SC technique to form a 'k' number of clusters. After that, C4.5 is used to classify the data whether it is real-time or non-real-time traffic through the construction of decision-tree. An experimental result shows that the KUC-SC technique obtains better performance in terms of classification accuracy, classification time, true positive rate and communication overhead compared to the state-of-the-art works.