Reviewerly/exHarmony huggingface dataset:
Improving Students’ Reading Skill Using The Little Prince Novel

This study aims to investigate the effectiveness of using The Little Prince Novel to improve students’ reading skill. Participants in this study were 35 students of grade 11 IPA at Madrasah Aliyah Miftahul Umam. To find out this, a pretest was carried out to determine the students’ ability to read before using the novel, then do the treatment using a novel. Finally, a post test was performed to assess the level of reading achievement of students. The method of this research is quantitative and using a pre-experimental design. The average of pre-test was 64.57 and the average of post-test was 89.37. It is significantly different from the result of pre-test and post-test scores. The results of the pre-test and post-test were calculated using SPSS 22. The significant is equal to 0.00 with significant level a = 0.05 (2-tailed). Since the score is 0.00 < a (0.05), H1 was accepted and H0 was rejected. It was found that substantial students’ outcomes were seen, an improvement in the value of reading skill assessment was shown, which meant that the novel could enhance the learners’ reading ability.
Penggunaan Kosanoge Melalui Media WhatsApp dalam Pembelajaran Bahasa Jepang Di SMK Kesehatan Sadewa Yogyakarta

This research is a quantitative descriptive study that will describe: (1) the conditions of learning Japanese online through WhatsApp Group (WAG) at SMK Kesehatan Sadewa Yogyakarta, and (2) the students' perceptions about the use of kosanoge. The Japanese language course was introduced at this school in 2020. As the Covid-19 pandemic since March 2020 has disrupted the educational activities at schools, the teaching and learning at SMK Kesehatan Sadewa, including Japanese, must be carried out online. WhatsApp Group (WAG) was chosen as a medium for interactive and useful online learning. In practice, students are introduced to the kosanoge vocabulary game which aims to increase the student’s enthusiasm for learning. The data were taken from the results of observations of class activities and online surveys. The random sample shows that the students were happy with the implementation of the kosanoge, but some students had difficulties because they had not memorized hiragana. A further research needs to be conducted to determine the effect of teacher classroom actions taken to increase student interaction in a class by using kosanoge games.
Prediksi Predikat Kelulusan Mahasiswa dengan Rantai Markov dan Faktor-Faktor yang Mempengaruhi Indeks Prestasi Mahasiswa

Students' Achievement Index (IP) changes each semester, both increase and decrease. This affects the GPA obtained by graduation. IP obtained by students in even semester is only influenced by IP in odd semester. Based on nature of Markov Chain, if there are past and future events, then future events are independent of past events and only tied to current events. Markov chain is used to analyze probability of IP change each semester and to predict the predicate of graduation with state space used, namely: satisfactory predicate with GPA of 2.00 - 2.75 to state 0, satisfactory predicate with GPA of 2.76 - 3, 24 becomes state 1, predicate is very satisfactory with GPA of 3.25 - 3.79 being state 2, and cumlaude predicate with GPA of 3.80 - 4.00 being state 3. This study aims to predict the predicate of student graduation and to analyze factors that have significant effect on IP. Dummy regression is used to analyze factors that have significant effect on IP with the factors studied, namely: campus facilities and infrastructure, friendship, organizational activeness, internet use, and money. Results showed that predicate of graduation with satisfactory predicate, GPA range of 2.00-2.75 was 0.56%, students who graduated with satisfactory predicate GPA range 2.76-3.24 was 7.39%, students who graduated with very satisfactory predicate, GPA ranges 3.25-3.79 was 54.18%, and students who graduated with cumlaude predicate ranged from GPA 3.80-4.00 was 37.87%. Factors that have significant effect on student GPA are activeness in the organization and use of the internet.
신뢰도 핸드북의 DataBase 아키텍처

Purpose: Efficient management of reliability handbooks when developing reliability prediction software.Methods: The reliability handbook information is analyzed and divided into characteristics.Generate tables by characteristics and design Architecture.Results: Multiple reliability handbooks can be designed in the same DataBase ArchitectureConclusion: Other prediction software includes handbook information inside the software, making it impossible for users to check the information in the handbook themselves. This can lead to problems where users are not informed about the reliability prediction basis of the component. Using the DB structure proposed in this paper, the information in the reliability handbook can be DB, giving the user the problem of checking the handbook in writing. In addition, different types of failure rate handbooks can be written in the same structure to operate efficiently from a software perspective.
Colour Detection Based Robotic Cart Using Raspberry Pi

One of the most critical subjects of embedded vision is color tracking in real time. Many computer vision applications begin by detecting and tracking moving objects in video scenes. Customers arriving at hypermarkets may benefit from this concept. A color detection algorithm locates pixels in an image that fit a predetermined color scheme. To differentiate detected pixels from the rest of the image, the color of the detected pixels can be modified. The robot is programmed to track objects by turning left and right to keep the target in view and driving forward and backward to keep the distance between the robot and the object steady. By maintaining a surrounding distance, detection of other objects of the same color pattern is ignored. By keeping a safe distance between the user and the robot, other objects of the same color pattern are not detected. The camera on an ARM11 Raspberry Pi computer attached to the robot is used to capture images. Using inbuilt python files, the acquired image is processed to locate the color using RGB varying pattern methodology. To make the product work smarter, this system also includes automatic billing via RFID reader and tag. The new concept of image processing domain is based on this device theory.
Employee Engagement: A Quantitative Review and Its Relationship with Job Satisfaction and Employee Performance

Employee engagement becomes priority among businesses as it can trigger a better performance.This research aims to reveal the influence of employee engagement to the employee performance with job satisfaction as an intervening variable.It is a quantitative research with an explanatory approach to explain the causal relationships of the hypotheses used.The research samples are 75 employees of PDAM in Malang city.Data were collected through questionnaires.Data were analyzed using path analysis.This study show that employee engagement has direct effect on employee performance.It effects employee performance through job satisfaction.It concludes that the engagement of the employees of PDAM in Malang is great, so their performance improves.
LibGuides: Business Management: Electronic Resources

A guide to assist library users to easily find library resources related to Business management
Library Guides: Open Access Publishing: Myths

An overview of OA, including government and publisher policies, resources, and key issues pertaining to scholarly publishing and Tulane
Design and Implementation of a Mobile Library Management System for Improving Service Delivery

A mobile library management system provides a more efficient way of managing library processes and rendering effective library services irrespective of time and place. This research work aimed to develop a Mobile Library Management System for the Nile University of Nigeria Library to overcome the challenges that hinder the librarians from managing the library processes on the go. The android mobile library management system was developed using Android Studio, HTML, CSS, PHP, and MySQLi database. Service Responsibility Table was used in eliciting and documenting the user’s requirements for the library management system. The proposed Android-based mobile library system was evaluated through a survey by the librarians. The evaluation has shown that the proposed system is capable of complementing the existing library management systems.
Save $1.00 – Abound Wet Dog Food Pouches Printable Coupon

Save $[acf field=amount] off with [acf field=product] Coupons! Abound is a grain-inclusive wet dog food using a significant amount of named meats as ...
Using neural and distance-based machine learning techniques in order to identify genuine and acted emotions from facial expressions

Facial expressions are part of human non-verbal communication. Automatically discriminating between genuine and acted emotion can help psychologists, judges, human-machine interface, and so on. The problems for researchers starts when there are few real emotion facial datasets available, and thus, most of experimentation for evaluation is done by using fake emotions from actors. Thus, this paper explores the problem of classifying emotions from facial expressions as genuine or acted. We propose to extract facial features from images and to classify using k-Means, k-Nearest Neighbor and Neural Network. The best results obtained presented a promising 98.6% of precision for happiness emotion and 92% for sadness emotion.
통역인 교육을 통한 국내 외국인 범죄수사 개선에 대한 제언

The paper aims to make suggestions on improving the criminal investigation for foreigners in Korea through the education of interpreters. The study was conducted to identify the characteristics of falsehood in the speech of specific language speakers, wich will be key contents in training interpreters. For the study of this paper, the native speakers of Chinese, which currently represents the highest occupancy rate and crime rate in Korea, were selected as subjects, and the characteristics of their false speech were studied. The experiment found that the subjects showed more distinctive characteristics of falsehood when answering in Chinese (L1) than in English (L3) and Korean (L2), and that the linguistic features of native speakers were most noticeable in the increase in the height of their voices. Based on this, if legal and phonetic education is conducted on interpreters, we can expect to strengthen the status of interpreters as investigators’ assistants beyond simple interpretation in the course of the interrogation. Also, the authenticity of the foreign suspect’s answers can be revealed more accurately, and so a quicker and more efficient investigation of the foreign suspect can be expected.
LibGuides: Research Data Management: Planning A Project

A guide to managing outputs of research projects and handling issues such as copyright and data protection laws Searching and inquiry landing page
Libraries: Intro to Zotero: Using Zotero Without a Zotero Account

Learn how to build custom web based bibliographies for personal use and in groups. This option is great for public terminals and building short-term bibliographies.
Library and Academic Success: Open Educational Resources for Faculty: OER at Georgian

OER tips, supplementary readings, rubrics for evaluation, CTL, how to location, listing of OERs and Learning Portal OER toolkit
The Tonnetz Environment: A Web Platform for Computer-aided“Mathemusical” Learning and Research (versión preprint)

We describe the Tonnetz web environment and some of the possible applications we have developed within a pedagogical workshop on mathematics and music that has been conceived for high-school students. This web environment makes use of two geometrical representations that constitute intuitive ways of accessing some theoretical concepts underlying the equal tempered system and their possible mathematical formalizations. The environment is aimed at enhancing “mathemusical” learning processes by enabling the user to interactively manipulate these representations. Finally, we show how Tonnetz is currently being adapted in order to lead computer-based experiences in music perception and cognition that will be mainly carried at universities. These experiences will explore the way in which geometrical models could be implicitly encoded during the listening process. Their outcome may reinforce educational strategies for learning mathematics through music.
Awesome And Inexpensive Ways to Improve a Proposal

You did the work of dating, sifting through countless profiles and sitting through countless first dates, and you have finally done it — you found the ...
Study of a wearable IoT solution for personal safety

Recent advances to internet infrastructure have allowed an unprecedented expansion in the numberof devices connected to the network. Smartphones, tablets and computers are only some of the devices that participate to the global network. Internet of Things (IoT) is a neologism which refers to the extension of the Internet to common objects. A great deal of interesting applications have flourished that take advantage of the possibilities offered by this expansion.In this report, we document the process of studying and developing a wearable, integrated solutionwhich uses a wide range of sensors in order to monitor some environment parameters. The scopeof this device shall be detecting and alerting the user about nearby possible dangers; some use caseexamples will be showed and some possible real simulation will be explained. Sensors can be applied to different wearable elements (i.e., a vest, a smartwatch, gloves, a helmet). The gathered information is transferred to a back-end system where a specialized analysis is carried out and potential actions to safeguard user health are taken. Data and notifications are meant to be sent to a control room where monitoring people are always ready to take appropriate actions. Some test data are analyzed to give an idea of the potential information data can have; other series are generated to test the algorithm functioning.
Face Recognition by CNN Using Hog and Bow Feature Extraction Approach

As we saw that there is a continuous development of Computer Vision and Artificial Intelligence, also we know that the Authentication play a vital role nowadays. And for this purpose Face is considered to be a most appropriate component. Face Recognition is technique that we use to compare the capture live or digital image from the stored image that we have in our database. Face Recognition is a technique which can easily contrived by intrinsic and extrinsic conditions. And in this situation we unable to get a desired result by using orthodox face recognition. This project helps us to recognize the face in any investigation department. In CNN, we can directly put the original image as an input which makes image processing quite simple. CNN perform 2-D transformation such as translation, Rotation and scaling. The overall approach is that we take a query image and divide the image into two set namely: Training image and tested image. On this image we apply BOW approach mainly used for feature Extraction. By feature extraction we remove all the unnecessary information and we get the output image in compact form which is compatible to our database (For example – Input Image = 64x64 reduces up-to 9x9). Put it into classifier for Recognition and after that we will get our recognized image.
(Peer Review) Foreigner’s Role in Helping Jember Young Learners Speak Better English

Teaching English for Young Learners is the main road to introduce English as a foreignlanguage to lower class group (grade 1, 2, and 3) of elementary school students. In Indonesiawhere English is positioned as the first foreign language taught at school, children do not yethave an adequate understanding of the importance of learning English as an internationallanguage. One alternative to overcome this issue is by creating a fun and positive learningenvironment and providing new experiences for them to interact directly with foreign speakers.This research aims to investigate the extent of students’ speaking skill in class 2C SDN JemberLor 3 and will also explore thoroughly the factor associated with students’ speaking such as how foreigners can help young learners speak better English. As it turns out, the students tend to have sufficient skill in speaking and are capable of conducting simple conversation with native teacher. Concerning to this matter, the adequate mastery of students’ speaking may be influenced by several factors, especially those related to the help of the native teacher who models pronunciation, intonation, sentence stress, grammar, and vocabulary using valid and veritable accent.
Technically Improved Image and Video Enhancement using Adaptive Gamma Correction with Weighing Distribution Based Contrast Enhancement Techniques

Images were captured, transformed, transferred and broadcasted every second in our daily life, Processing of digital images were kept on the top priority since digital images occupies vast areas in facial recognition, pattern recognition, remote sensing, medical evaluation, weather broadcasting etc. In this paper we discuss about the processing algorithm of single frame images and images in videos by segmental image analysis through adaptive gamma correction techniques. The aim of this paper deals with the processing of raster images that were scrambled/pixelated by gamma exposure. Since human eyes can be sensitive to over and under exposed gamma error in images, proper computer segmentation and procession is essential. There are a wide range of techniques available for image enhancement, rather here we used weighting distribution based contrast enhancement evaluation and processing can be identified precisely. An automatic transformation technique that improves the brightness of dimmed images via the gamma correction which enhance the image contrast through use of smoothing curve and probability distribution of luminance pixels. Finally, the paper concluded the procedural programming used to process an image though adaptive gamma correction.
PENGGUNAAN MEDIA SOSIAL SEBAGAI ALTERNATIF MEDIA PEMBELAJARAN ONLINE

This study produces teaching materials that are posted on social media accounts that are used as alternative media for online learning media and to determine the responses of students at the University of Borneo Tarakan. The research used is the development research by Borg and Gall. The subjects of this study were 3rd semester students of the PGSD study program at the University of Borneo Tarakan. This research product in the form of images and videos posted on TikTok, Instagram, Facebook, and YouTube social media accounts. The results of the assessment of media experts obtained a percentage of 73%, material experts a percentage of 82%, and from linguists a percentage of 70%. Based on the results of this assessment, the teaching materials are declared valid and usable. The results of the small group trial obtained an average percentage of 81% with the category very satisfied and the results of the field trial obtained an average percentage of 82% also with the category very satisfied. It was stated that the media could be accepted by students. Taking into account the results of this research, it can be concluded that online teaching materials have been tested for feasibility, excellence, and can be used as an alternative media for online learning and learning processes.
LibGuides: COVID-19 Educational Resources for home use: Items of interest for School Librarians

These are curated resources for the School Librarian to utilize as they see fit. Site went live on March 23, 2020.
Probing prompting strategy to improve young learner’s speaking skills in Palopo city

This paper attempted to examine the efficacy of the Probing-Prompting Technique in teaching speaking skills to young beginner English learners. This study employed the experimental method with a pre-experimental design. The subjects of this study were English learners age 16 to 19 in Palopo City who were chosen using a purposive sampling technique to select the active learners. Using the oral presentation task, the writers compiled three aspects of the learner's score, i.e. accuracy, fluency, and comprehensibility. The experimental teaching was conducted in six meetings, preceded by a pre-test and ended by a post-test. The pre-test found that the learners’ speaking skill ability is low (mean score: 25.75). In post-test, the authors found that the learners’ language ability substantially improved. Some learners get significant improvement in every aspect of speaking skills, i.e. fluency, accuracy, and comprehensibility. The strategy also contributed to the increase in the mean score (51.50). As a result, the writers concluded that Probing-Prompting Strategy successfully improves the learners’ speaking skills. It is proven by the result of the paired-sample test which showed that t-count (7,584) is higher than t-table (2,365).
Solving practical tasks of computer linguistics using the created text processing framework

Abstract The use of linguistic analysis based on the accumulated experience in computer linguistics allows simplifying processing of huge amounts of text information and opens up new opportunities for documents processing automating. The problem of finding suitable tools, adapting them to work with texts in the Russian language, and integrating with each other makes difficult to use them both for research and in industrial systems. We present an open source Java framework (TAWT) that provides convenient tools and data structures for the main stages of text analysis which meets modern requirements for performance, reliability, project assembly tools, etc. Examples of automating some technical documentation preparation tasks demonstrate the use of the framework, TAWT can be useful for developers of research tools or applied software for implementing new functions or improving the quality of text processing, as well as for developers of automated tools to reduce routine tasks working with documentation.
Stereo Matching Based on Features of Image Patch

Stereo matching is a branch of 3D vision and has a wide range of applications in 3D reconstruction and autonomous driving. Recently, stereo matching methods leverage the information of two full image to calculate disparity map. However, these methods still have difficulties in texture-less regions and occlusion regions, and post-processing is used to improve accuracy. Therefore, there is a large computational cost in the feature extraction and post-processing. In this paper, we propose a stereo matching method based only on features of image patches and predict the disparity of region without occlusion. And post-processing is performed to modify all kind of mismatching based on the correct disparity. Furthermore, we evaluated our proposed method on the Middlebury dataset. The results show that our method performs well in all areas.