Reviewerly/exHarmony huggingface dataset:
ERROR ANALYSIS ON SENTENCE CONSTRUCTION BY USING GRAMMAR TRANSLATION METHOD TO THE FIRST SEMESTER STUDENTS OF ARABIC EDUCATION STUDY PROGRAM AT DATOKARAMA STATE ISLAMIC UNIVERSITY PALU

This is a qualitative research focusing on answering the research question, “What kinds of error occur on sentence construction by using Grammar Translation Method to the first semester students of Arabic Education Study Program at Datokarama State Islamic University Palu?” The participants of this research are thirty two first semester students of Arabic Education Study Program at Datokarama State Islamic University Palu. The instrument of the research is a document analysis of a hundred Indonesian sentences translated into English. The result of this research shows that there are five types of error occurred: (1) omission; (2) addition; (3) misformation; (4) misorder; and (5) word misuse. Omission errors can be found on the article for the singular nouns, -s/-es ending for plural marker of nouns, to be in nominal sentences, measured quantities for uncountable nouns, and –s/-es ending for verbs in simple present tense. When the mother tongue interferes the sentence construction, the addition errors then took place. Misformation errors occurred on the use of demonstrative determiners, subject-verb agreement in present perfect tense as well as in nominal sentences. Misorder errors can be showed on the word order of present perfect tense. Word misuse errors occurred when the participants translated the sentences one word by one word literally while the vocabulary is not sufficient
Information-display Method for Reducing Annoyance by Gaze Guidance

We are investigating methods of displaying action information to users of smart glasses and other wearable information devices that are worn daily as they try to attain goals during daily activities.Forcefully presenting information to a user may annoy him/her and discourage him/her from continuing to use the device, but access to information is uncertain if not forced.To solve this problem, we devised a forced-information display method that reduces annoyance yet ensures that information is received by giving the user the feeling that the act of reading was him/her choice.We also evaluated the possible effectiveness of the method.
The Effectiveness of Using Questions Technique to Improve Students’ Writing of Recount Text

Writing as a productive skill is considered a difficult skill to be mastered because not every student has better English proficiency which somehow has become an obstacle for them to construct better grammatical text. This research aims to improve the writing skills of recount text of students of Class CA of STMIK STIKOM Indonesia. The approach of this research is Class Action Research (CAR). The data collected are observation, interviews literary research, and tests. The results of this research showed that the implementation of Questions Guiding Techniques (QFT) was conducted successfully which can be seen through the results of cycle I and the progress made by students in cycle II. The results of cycle I (pre-test) and cycle II (post-test) were examined using an assessment rubric of writing text skills of recount text which consists of 5 aspects those are content, organization, structure, vocabulary, and mechanics with the score 4-3-2-1 (best-better-poor-poorer). The results of the cycle I (4-1) are 17-19-32-52. The result of cycle II shows that there is improvement in students understanding of grammar and writing skill on the recount text because score 4-3 is increased (36 – 95) and 2-1 is decreased (86 – 25) which shows better writing skills of the students.
Analysis of information seeking behavior of smallholder rice farmers on safe use of pesticides in Anambra State, Nigeria

Analysis of information seeking behaviour of rice farmers on safe use of pesticides in Anambra State, Nigeria was studied using one hundred and twenty respondents. The respondents were selected using multi-stage random sampling and purposive sampling techniques. The information used for this study was derived from primary and secondary sources. The primary data was obtained through structured questionnaire and oral interview, while, the secondary source were acquired from recent published and unpublished survey articles, journals, textbooks, the internet, proceedings and other periodicals. The objectives of the study were analyzed using percentage responses and multivariate Logit model analysis. The result of the sources of information to the farmers on safe pesticide use was from friends, input dealer, radio and extension agent. Also, most of the respondents had low information seeking behavour. As well, the socioeconomic characteristics of rice farmers such as educational level, distance from the nearest market and extension services influenced positively their information seeking behaviours on safe use of pesticides, while radio ownership and mobile phone ownership were negative. The need to ensure farmers’ access to credit, educational programmes and extension services were proffered.
Determination of Suitability Test on Digital Mammography Using Voltage Accuracy Parameter

Determination of suitability test on digital mammography have been conducted from 2016-2018 at a hospital in Makassar City using voltage accuracy parameter. This measurement was used detector, and X-ray multimeter. Statistically, voltage accuracy parameter has correlation value, r = 0.866 (perfect correlation). While the p value obtained in voltage accuracy parameter is p &lt; 0.05. There are significant differences in value from 2016-2018. The result of the suitability test for voltage accuracy parameter is still within the tolerance limit as recommended by the IAEA.
The average search probabilities of discrete-time quantum walks

We study the average probability that a discrete-time quantum walk finds a marked vertex on a graph. We first show that, for a regular graph, the spectrum of the transition matrix is determined by the weighted adjacency matrix of an augmented graph. We then consider the average search probability on a distance regular graph, and find a formula in terms of the adjacency matrix of its vertex-deleted subgraph. In particular, for any family of (1) complete graphs, or (2) strongly regular graphs, or (3) distance regular graphs of a fixed parameter $d$, varying valency $k$ and varying size $n$, such that $k^{d-1}/n$ vanishes as $k$ increases, the average search probability approaches $1/4$ as the valency goes to infinity. We also present a more relaxed criterion, in terms of the intersection array, for this limit to be approached by distance regular graphs.
The Effect Of Flash-Based Interactive Learning Multimedia On The Thematic Learning Outcomes Of Grade 5 Students In Elementary School

This study aims to determine the effect of flash-based interactive multimedia learning on the fifth-grade elementary school students' thematic integrative learning outcomes. The study is a quantitative study with a True Experimental Design type of posttest-only control design. The population was 180 fifth-grade students, with 40 fifth-grade students chosen as samples using cluster sampling. The data collection used multiple-choice questions to measure the results of integrative thematic learning of the experimental and control class. The hypothesis test used is t-test. The results of the t-test analysis show that flash-based interactive multimedia learning affects the integrative thematic learning outcomes of fifth-grade elementary school students
Classification of Ancient Modi Script Characters using Convolutional Neural Network

This study aims to develop a character recognition system for the MODI language, which is challenging due to the complexity of character identification. The proposed system uses convolutional neural networks (CNN) and the VGG16 algorithm to accurately identify printed and handwritten MODI characters from scanned papers, regardless of the input paper quality. The training dataset consists of 48 distinct MODI script characters, including vowels and consonants, and is routinely updated with handwritten samples obtained from various sources and the IEEE DataPort dataset. The study demonstrates the feasibility of developing a highly accurate character recognition system that follows the established method of the MODI Script Character Recognizer System (MSCR).
Analisis Penggunaan Media Flashcard terhadap Motivasi Belajar Siswa pada Mata Pelajaran PAI di SD Negeri 15 Selayo

This research is motivated by the use of learning media that is appropriate for use by teachers so that students have motivation in studying the media, namely flashcard media. This study aims to determine the use of flashcard media in Islamic Religious Education subject class 1 at SD Negeri 15 Selayo, to determine the supporting and inhibiting factors of flashcard media on student learning motivation on ablution material in class 1 Islamic Religious Education subject at SD Negeri 15 Selayo and to find out the results of using flashcard media on student learning motivation in the subject of Islamic Religious Education at SD Negeri 15 Selayo. This research uses descriptive qualitative method, the object of this research is the first grade students of SD Negeri 15 Selayo and the subject of this research is students' learning motivation. Then the data obtained from observation, interviews with informants, and documentation to see the existing phenomena. The results of this study indicate that the use of flashcard media in class 1 Islamic Religious Education subject at SD Negeri 15 Selayo is very good to use because it really helps students in motivating students. Students have high enthusiasm and enthusiasm for Islamic religious education lessons so they have a strong determination and will in carrying out learning activities, students have a desire to succeed, there is encouragement and need in learning, there are hopes and aspirations, there is an appreciation in learning, there are interesting activities in learning, the creation of a conducive learning environment. So with this it proves that the results of using flashcard media in learning make students have motivation to learn
Adoption of agile development methodologies

The digital technologies are transforming our world as deeply as written, the changes threaten all enterprises in all fields. Each company shouldbe reinvented or eventually go out of business. Agile has potential for companies respond in fluid and sensitive manner as required by the context of current digital technologies. Agile methods have been adopted in a wide variety of organizational contexts; some methods are more suitable for certain organizational environments than others. In this article we review aspects more important that an organization should be considered for adopting agile software development model. The agile model adoption in technological areas is as important as its adoption in any area to participate in the development of software projects. The management support is essential to lead software development projects to the expected success.
Denoising and Completion Filters for Human Motion Software: a Survey with Code

&lt;p&gt; Software platforms used for human motion analysis are increasingly being utilized in various fields, ranging from Healthcare to Industry 5.0. However, the inherent inaccuracy of these platforms often results in noisy descriptions of human poses or time periods during which the information is even missing. As a consequence, data filtering for denoising or completion is a common yet fundamental step before data analysis. Over the years, different techniques have been proposed, from generalpurpose solutions based on low-pass filters to more advanced and embedded approaches based on state observers rather than deep learning. This survey presents the current state-of-the-art filtering solutions for denoising and completing data generated by software platforms for human motion analysis, with a focus on 3D positional data extrapolated through marker-based or markerless motion capture systems. It proposes a concise taxonomy based on the filter technology and application assumptions. For each class, it summarizes the basic concepts and reports application feedback collected from literature. The survey also includes implementation codes or links to the authors’ original codes, allowing readers to easily reproduce all the algorithms in different experimental settings (https://github.com/PARCO-LAB/mocap-refinement).&lt;/p&gt;
Sign Language Recognition in the Hindi Language Based on Computer Vision

&lt;p&gt;To communicate, speech impaired people use hand signs and gestures. The ordinary people are faced with difficulties in knowing what they're attempting to communicate. There's a lot of systems that are converting information to Hindi, but it's very rare. It is therefore necessary to introduce a system whereby all signs, gestures and messages can be recognised and communicated to the general public. It will bridge the gap between people with speech impairments and ordinary folk.Recognition of sign language and learning are the main research methods based on human interaction with computers. For data transfer to be recognised in sign language, multiple sensors are needed. In this Research Paper, the design of a training tool in Hindi that senses an image is targeted at those who are impaired with their speech and thus provides information as to what another person wishes to communicate.&lt;/p&gt;
Simultaneous unsupervised feature selection with adaptive loss constraint and discrete binary hashing for clustering

Abstract As an important analysis technique of machine learning, clustering has received extensive attention. However, the high-dimensional data make the clustering speed slow. Recent studies show that hashing can achieve efficient clustering. In this paper, a new binary clustering framework – Simultaneous Unsupervised Feature Selection with Adaptive Loss Constraint and Discrete Binary Hashing for Clustering (ALDBC) is proposed. This method based on adaptive loss functions to achieve data dimensionality reduction and low-rank clustering in Hamming space is integrated into a single framework for mutual guidance and dynamic improvement. More specifically, the framework uses an adaptive loss optimization algorithm, the adaptive loss function is located between the L1-norm and the L2-norm, which combines the advantages of the two to enhance the robustness of outliers and reduce the dimension of high-dimensional data at the same time. Then, the sparse binary matrices are decomposed into low-rank matrices in Hamming space to complete image clustering. Finally, the objective function can rapidly converge with the optimization scheme. Experimental results on datasets show that this method can effectively improve the efficiency of clustering. Compared with the state-of-the-art methods, the time efficiency of ALDBC was improved when processing high-dimensional data.
Kualitas Audit Teknologi Informasi dan Faktor-Faktor yang Mempengaruhinya

This study aims to determine what factors can affect the Quality of Information Technology Audit. In this paper will describe various studies related to IT Audit, Role of IT Audit, IT Audit Report content and IT Audit Quality. The results are known what factors can affect the Quality of IT Audit and the implications for knowing these factors
Multimodal fraudulent website identification method based on heterogeneous model ensemble

The feature analysis of fraudulent websites is of great significance to the combat, prevention and control of telecom fraud crimes. Aiming to address the shortcomings of existing analytical approaches, i.e. single dimension and venerability to anti-reconnaissance, this paper adopts the Stacking, the ensemble learning algorithm, combines multiple modalities such as text, image and URL, and proposes a multimodal fraudulent website identification method by ensembling heterogeneous models. Cross-validation is first used in the training of multiple largely different base classifiers that are strong in learning, such as BERT model, residual neural network (ResNet) and logistic regression model. Classification of the text, image and URL features are then performed respectively. The results of the base classifiers are taken as the input of the meta-classifier, and the output of which is eventually used as the final identification. The study indicates that the fusion method is more effective in identifying fraudulent websites than the single-modal method, and the recall is increased by at least 1%. In addition, the deployment of the algorithm to the real Internet environment shows the improvement of the identification accuracy by at least 1.9% compared with other fusion methods.
Data Mining Dalam Analisis Tingkat Penjualan Barang Elektronik Menggunakan Algoritma K-Means

In this research, data collection and processing of sales of electronic goods were carried out with CV. Berkah Elektronik. The data obtained is then aggregated with the K-Means algorithm to gain knowledge about which electronic products are selling well on the market and which are not. In this study, the clustering method was used with Tanagra 1.4.48 software, and the K-Means algorithm was used as an algorithm to draw conclusions about which items were selling well and which were not inputted, namely product prices. goods and sale of goods. And from the results of testing and manual testing with the Tanagra application, the same clusters are produced, namely, products that do not sell well (Cluster_KMeans_1) and products that sell well (Cluster_KMeans_2).
Document Image Enhancement with Perspective Transformation using Python

Many people need soft files of their important documents.One of the technological sophistications that are currently developing is to use a smartphone camera to photograph a document.However, the results from the photo are not like the results with a precision-shaped scanner.Based on this, we developed a program that can improve the quality of a distorted (imprecise) document image to become a scanned-like rectangle image.In addition, the purpose of this study is to find out some of the mathematical theories behind it.The method we use is a literature study on line gradients, perspective transformations, and central tendency.Then we apply it to the python program.The results of this study are gradients can be used to determine the boundaries of the rectangular area of the document image.The perspective transformation can be used to change a shape from an arbitrary quadrangle to a rectangle.Central tendency (mean, median, and mode) can be used to fill in the gaps in the perspective transformed image.
Rank-based Transformation Algorithm (RBT) for Image Contrast Adjustment

&lt;p&gt;Performing proper image contrast adjustment without information loss is an art. The default settings are often inappropriate for the image in question rendering a contrast adjustment depending on trial and error. We propose a simple method, rank-based transformation (RBT), for image contrast adjustment that requires no prior knowledge. This makes RBT an ideal first tool to apply for underexposed images. The RBT algorithm normalizes and equalizes all the intensity differences of the image over the full intensity range of the image data type, and thus assigning equal weight to all gradients. Even the state-of-the-art AI tool Cellpose visually benefits from RBT preprocessing. Our comparison of histogram normalization methods demonstrates the ability of RBT to bring out image features. &lt;/p&gt;
Task-based dialogue policy learning based on decision transformer

Due to interactions with real users, online reinforcement learning training projects for dialogue agents are expensive. User simulator is an alternative method that is commonly used. However, the environment of a user simulator is not identical to that of a real user, and it cannot provide the atypical and more variegated conversational behavior that is a hallmark of human spontaneity. We employ offline reinforcement learning and Transformer to abstract dialogue policy as a framework for sequence modeling problems, modeling the joint distribution of state, action, and reward sequences to generate optimal dialogue actions. An evaluation of the Multiwoz dataset shows that DT successfully improves the efficiency of DRL dialogue agents and improves dialogue robustness.
Towards Enhancing Children's Science Education using Augmented Reality and Computer Vision

Today's technological advancements in mobile technologies and the growing number of mobile devices are extremely beneficial in the mobile learning process. This study is a work in progress that discusses the possibilities of integrating Augmented Reality (AR) and computer vision (CV) into science education which uses deep learning to detect animals in real-time and teach children to classify animals, and learn about their habitat, sound, and important facts. In this study, the Design Science Research (DSR) is used which is a pragmatic approach to creating substantial knowledge for problem-solving through the development of artifacts. The mobile application - AnimalCircle - was developed following the DSR method, and initial users' study was conducted to investigate the efficacy of the use of AR and CV in mobile learning on children's science education and if it can enhance children learning experience. Semi-structured interviews were conducted with children studying at primary level class in Kathmandu district of Nepal between the age groups of 6–12. The findings show that children are positive toward usage of AnimalCircle app in their learning process because they find it beneficial and effective in their learning. However, most children also found it difficult and complained of getting confused during their initial usage. Therefore, significant efforts are required to improve the usage of these technologies in the mobile app and to provide a child-friendly learning experience.
From Speaking Skills to Virtual Mobilities: Challenges of VR Technologies in Communication from the European University of Technology

Within the vision of the European University of Technology (EUt+), a University Alliance of 8 European partners, augmenting a Mobility Friendly Plan through a virtual worlds approach, helps prepare students to overcome communication, language and cultural barriers. Such virtual environments can allow students to be immersed in the academic environments of the destination location, creating spaces for team building, collaboration, and creative activities. In the context of effective social interaction, communication and language learning become key pillars. Technological means that develop key competencies and abilities in such immersive environments, should be tackled. The current paper describes three uses cases of VR environments from the European University of Technology Alliance, implemented with the purpose of facilitating communication skills to overcome language and cultural barriers. The application of various technology levels, from prototype-based to customization of existing platforms is analyzed, under a TAM adoption assessment, to identify common challenges that may accompany the development of a shared VR campus, intended for effective communication, while providing the students a feeling of comfort, safety and confidence.