Reviewerly/exHarmony huggingface dataset:
MENDIAGNOSIS KEBUTUHAN GIZI ANAK SEKOLAH DASAR DENGAN MENGGUNAKAN DEPTH-FIRST SEARCH

Now, advances in information technology is helping people s lives whether in business,education, technology and also medical. Technological and educational advances are heavily dominated by urban populations alone so that rural residents are lagging far behind theexisting level of urban knowledge. To reduce the technological gap between rural and urbanareas, it is necessary to document good knowledge by urban experts so that the knowledge canbe enjoyed by the rural population through existing Information Technology. Expert Systemshould be built in solving this problem by using Depth-First Search so that the nutritional needsof children at elementary school can be known based on their needs. From the results of thestudy, parents can find out information about the necessary nutritional intake required andmake better future generations and ready for the future.
Evaluation of School Literation Movement Programs in Jakarta Selatan Wilayah II High School, Kecamatan Tebet

This study aims to determine the implementation of the School Literacy Movement or “Gerakan Literasi Sekolah“ (GLS) program carried out in the South Jakarta State High School area II in Tebet sub-district. This research is a type of evaluation research with a qualitative approach using the gap evaluation model or Discrepancy Evaluation Model (DEM) developed by Malcom Provus. So that the implementation of the GLS program in terms of design, installation, process, and product. The data is obtained through observation, interviews, and study documents. Principals and teachers in these schools have implemented a school literacy movement program by the indicators of the school literacy movement contained in the master design of the school literacy movement in secondary schools. The condition of the school has fulfilled the adequacy and adequacy of facilities and infrastructure that support the school literacy movement program. The competencies of school principals and teachers have been able to develop the school literacy movement program The results of the study stated that the level of achievement of the GLS program in Tebet sub-district high schools was in the High category. This means that for the most part, even all program indicators have been implemented or are available according to criteria.
ArchiveSafe: Mass-Leakage-Resistant Storage from Proof-of-Work

Data breaches—mass leakage of stored information—are a major security concern. Encryption can provide confidentiality, but encryption depends on a key which, if compromised, allows the attacker to decrypt everything, effectively instantly. Security of encrypted data thus becomes a question of protecting the encryption keys. In this paper, we propose using keyless encryption to construct a mass leakage resistant archiving system, where decryption of a file is only possible after the requester, whether an authorized user or an adversary, completes a proof of work in the form of solving a cryptographic puzzle. This proposal is geared towards protection of infrequently-accessed archival data, where any one file may not require too much work to decrypt, decryption of a large number of files—mass leakage—becomes increasingly expensive for an attacker. We present a prototype implementation realized as a user-space file system driver for Linux. We report experimental results of system behaviour under different file sizes and puzzle difficulty levels. Our keyless encryption technique can be added as a layer on top of traditional encryption: together they provide strong security against adversaries without the key and resistance against mass decryption by an attacker.
IMPLEMENTASI APLIKASI RPG MAKER VX ACE SEBAGAI SARANA GAME EDUKASI TIGA RAGAM BAHASA DI SMP NEGERI 2 PURBALINGGA

School is a place for teaching and learning activities that are being carried out by each teacher to students, including theoretical and practical reviews. In the learning process the teacher is recommended to provide good quality teaching and learning activities, and to further refine these activities, a new media is needed in the learning process. Because based on the results of interviews with several teachers, it can be concluded that in the learning process students are less motivated, especially in the extra hours or evening hours and the lack of interaction makes students respond less and less. For this reason, in an effort to realize the quality of learning, new learning media are created that educate students such as educational games, where students can experience learning while playing. This can be used as a modern example, especially in the learning process of SMP Negeri 2 Purbalingga students. In accordance with the description above, this research takes the title IMPLEMENTATION OF THE RPG MAKER VX ACE APPLICATION AS A THREE DIVERSE LANGUAGE EDUCATIONAL GAME MODELS IN SMP NEGERI 2 PURBALINGGA. The purpose of this study was to develop educational game learning media with 3 different languages to help teachers deliver material in the classroom and increase the motivation of students. So that later it can trigger interactions between teachers and students. With the hope that students will be able to understand the material presented by the teacher through the educational game, because based on the assessment of the student questionnaire, the educational game application results in an average index of 88.26% and a teacher representative questionnaire of 94.99%. So it can be concluded that this application is feasible to use and shows that this educational game learning media is very useful for use by students of SMP Negeri 2 Purbalingga.
Transforming Recurrent Neural Networks with Attention and Fixed-point Equations

Transformer has achieved state of the art performance in multiple Natural Language Processing tasks recently. Yet the Feed Forward Network(FFN) in a Transformer block is computationally expensive. In this paper, we present a framework to transform Recurrent Neural Networks(RNNs) and their variants into self-attention-style models, with an approximation of Banach Fixed-point Theorem. Within this framework, we propose a new model, StarSaber, by solving a set of equations obtained from RNN with Fixed-point Theorem and further approximate it with a Multi-layer Perceptron. It provides a view of stacking layers. StarSaber achieves better performance than both the vanilla Transformer and an improved version called ReZero on three datasets and is more computationally efficient, due to the reduction of Transformer's FFN layer. It has two major parts. One is a way to encode position information with two different matrices. For every position in a sequence, we have a matrix operating on positions before it and another matrix operating on positions after it. The other is the introduction of direct paths from the input layer to the rest of layers. Ablation studies show the effectiveness of these two parts. We additionally show that other RNN variants such as RNNs with gates can also be transformed in the same way, outperforming the two kinds of Transformers as well.
Comparison of outlier detection techniques in non-stationary time series data

This study examined the performance of six outlier detection techniques using a non-stationary time series dataset. Two key issues were of interest. Scenario one was the method that could correctly detect the number of outliers introduced into the dataset whiles scenario two was to find the technique that would over detect the number of outliers introduced into the dataset, when a dataset contains only extreme maxima values, extreme minima values or both. Air passenger dataset was used with different outliers or extreme values ranging from 1 to 10 and 40. The six outlier detection techniques used in this study were Mahalanobis distance, depth-based, robust kernel-based outlier factor (RKOF), generalized dispersion, Kth nearest neighbors distance (KNND), and principal component (PC) methods. When detecting extreme maxima, the Mahalanobis and the principal component methods performed better in correctly detecting outliers in the dataset. Also, the Mahalanobis method could identify more outliers than the others, making it the "best" method for the extreme minima category. The kth nearest neighbor distance method was the "best" method for not over-detecting the number of outliers for extreme minima. However, the Mahalanobis distance and the principal component methods were the "best" performed methods for not over-detecting the number of outliers for the extreme maxima category. Therefore, the Mahalanobis outlier detection technique is recommended for detecting outlier in nonstationary time series data.
Pengaruh Interaksi Guru Dengan Siswa Dan Keaktifan Belajar Terhadap Hasil Belajar Ekonomi Siswa Kelas XI IPS SMA Negeri 2 Cepu Pada Masa Pandemi Covid-19 Tahun Ajaran 2020-2021

The This study aims to examine the effect: 1) his study aims to see the effects of: 1) The interaction between teachers and students on the learning outcomes of students in class XI SMA Negeri 2 Cepu in the academic year 2020/2021. 2) Activeness of learning towards economic learning outcomes of class XI students of SMA Negeri 2 Cepu in the 2020/2021 school year. 3) Teacher interaction with students and learning activeness towards economic learning outcomes of class XI students of SMA Negeri 2 Cepu in the 2020/2021 school year. This research is a quantitative research. The population in this study were all students of class XI IPS at SMA Negeri 2 Cepu as many as 129 students. The sample in this study as many as 98 students obtained by the Proportional Random Sampling technique. The data needed by using a questionnaire and documentation. The results of the regression analysis obtained the regression line equation: Y = 20.464 + 0.226X1 + 0.320X2. The conclusions obtained indicate that: 1) There is an effect of teacher interaction with students on learning outcomes with a relative contribution of 46% and an effective contribution of 23.27%. 2) There is an effect of active learning on student learning outcomes with a relative contribution of 54% and an effective contribution of 27.50%. 3) There is an effect of teacher interaction with students and active learning on students' economic learning outcomes with a determination coefficient (R2) of 50.7% and other variables.
Library Guides: COMM/SOC 20N: Critical Media Literacy: Welcome

This guide is for students in Penn State Harrisburg's COMM/SOC 20N (Spring 2021). It includes sources, search tips, and other tools needed to complete several assignments.
New Machine Learning Approaches to Improve Software Bug Prediction

Predicting bugs of a software system is an important research problem in software engineering. By predicting software bugs correctly, developers can accelerate the testing process for locating source code components containing bugs and hence reduce the time associated with software maintenance and development, thereby improving the software development cycle. In today’s software industry, plethora of software engineering environments has led to substantial amounts of data stored in repositories. Mining such data is a challenging task. A key goal of this thesis is to deliver reliable machine learning tools to software developers, who would use these tools as prediction calculators to identify bugs in software systems. To accomplish this goal, I develop new machine learning approaches combining an unsupervised technique with feature selection and supervised learning techniques. The supervised learning algorithms include support vector machines, random forests, neural networks, and deep neural networks. Experimental results on various bug prediction datasets demonstrate that my machine learning approaches generate higher performance results with statistical significance when compared against existing baseline approaches.
Demand elements in Netedit

The SUMO version 1.2 and successive bring a great amount of new features relative to the edition of Demand Elements in NETEDIT. After comparing two design possibilities, anindependent editor called TrafficEdit, or the extension of NETEDIT to support the demand elements, this second option was chosen.
A STUDY ON EFL TEACHERS’ OWN CRITERIA IN SELECTING ENGLISH TEXTBOOK FOR SECONDARY SCHOOL STUDENTS IN TERNATE CONTEXT

Selecting an ideal textbook is challenging and thoughtful task for most teachers especially at the time when many textbooks are available in bookstores. Selecting a suitable textbook becomes a critical issue since it can have enormous impact on students’ engagement, motivation to learn, and ultimately their language performance. Many criteria should be considered by the teachers in order to reach students’ positive learning outcome. This study aimed to investigate teachers’ own criteria in selecting English textbook for secondary schools students in Ternate, North Maluku context. The participants of this study were 30 English teachers (20 females, 10 males) at state senior secondary schools in Ternate context. The chosen participants were those who have more than three years teaching experiences. The data were collected by using a set of questionnaire and semi- constructed interview. The findings show that most of English teachers’ criteria are matching to latest curriculum, covering four skills, and containing a lot of activities.
COVID-19 y los cambios pedagógicos en la educación preescolar desde la casa

The Covid-19 pandemic of 2020 greatly modified people's lives, at all economic, family, recreational, work and educational levels, of this last aspect the pre-school age range, for whom it was not budgeted Virtual education was the most affected because the system was not prepared and even less so than the parents, who became an active part in the new teaching process, since the responsibility for learning falls primarily on the teacher; This last actor, in addition to changing the didactics, had to change the way the student evaluated and change the self-evaluation by rethinking the pedagogical objectives, because the parents were an active part of the process. In order to keep the child focused on virtual media, the teacher has to make use of their creativity, in addition to synchronous and asynchronous encounters; but at the rural level and for the underprivileged classes, the challenge had and is enormous given that nobody imagined that the confinement would last so many months.
Content analysis of research institutions in Uttarakhand

Presents study “Content Analysis of Research Institutions in Uttarakhand” was conducted to investigate content analysis of the web-page of the research institutions located in Uttarakhand. In present study total 10 research institutions were selected out of 82 research institutions on the basis of random sampling. Result revealed that most of the research institutions were able to maintain the content of the webpage.
A Study on the Evaluation of Foreign Teachers' Classroom Teaching Quality of Sino-foreign Cooperation in Running Schools from the Perspective of New Engineering

The mathematical model is used to evaluate the classroom teaching quality of foreign teachers in Sino-foreign cooperative education projects under the new engineering perspective.Based on the analytic hierarchy process, the main factors affecting the quality of foreign teachers' classroom teaching and their weights were studied.On this basis, a fuzzy comprehensive evaluation model of classroom teaching quality was established.The actual case shows that the method can evaluate the classroom teaching quality of foreign teachers from the perspective of new engineering subjects, and had certain practicality.
LibGuides: Online Resources for FMB Teachers: Science

This list has been compiled with the assistance of teachers at the Florence M. Burd Elementary School in Andover, NJ.
A General Endoscopic Image Enhancement Method Based on Pre-trained Generative Adversarial Networks

Endoscopic images frequently have image quality problems due to the limitations of surgical instruments and the impact of surgical operations, such as uneven illumination, smogginess and color deviation. For deep learning based on enhancement methods, independent training lacks sufficient defect images and generalization capability, and combined training with mixture of data cannot identify diverse specific tasks. To address these issues, we propose a general method based on pre-trained generative adversarial network with a specified transfer learning strategy to obtain high-quality images. Initially, we independently train a standard network based on a universal task, e.g., uneven illumination, where a pre-trained model is extracted as a backbone with partially shared generator. Then, we transfer the backbone to more potential image enhancement tasks. Experiments on uneven illumination, smogginess, and color deviation indicate that the model successfully shares common features of high-quality images and responds specifically to different defects as well.
Augmenting Jaro-Winkler to Detect Duplicate Financial Transactions

In this thesis, a duplicate detection algorithm for short segments of text is proposed, based on an augmented Jaro Winkler string similarity metric. By using the measure of term frequency to remove ...
Quality assurance audit in histopathology reported by Whole Slide Imaging technique

Digital pathology validation study was completed in department of pathology, Glan Clwyd Hospital in December 2016. The pathologists participated in the study started reporting live cases in digital platform. Approximately 10% of routine cases were scanned digitally for routine reporting during the audit period. Digital pathology platform is also utilised for MDT review of dermatopathology and cervical cancer screening cases, performance of audits in sub-specialities like liver biopsies, medical renal biopsies, teaching and for EQA purposes. Secondary review process takes place routinely in the department in the form of MDT case review, clinician requested review or second opinion case reviews as part of quality assurance and error prevention. Currently mostly non-urgent and few urgent cases are scanned to digital platform for primary reporting. Most of these cases do not come under existing review process. This is the rationale behind conducting this audit
2015 개정 교육과정을 반영한 고등학교 영어 I 교과서의 문화 내용 분석

The present study aims at analyzing the cultural content in high school English I textbooks based on 2015 Revised Curriculum, using three categories: cultural subjects, cultural backgrounds, and cultural types. The findings of the study are 1) the textbooks dealt with the cultural subjects in a different rate ranged from 5 to 11; 2) in terms of cultural backgrounds, none of the textbooks include cultural comparison, and British/American culture was least dealt with in the textbooks; and 3) when it comes to cultural types, behavioral culture was included in the textbooks much less than mental culture and material culture. In general, it is required to be taken into consideration, when developing English textbooks, that various and balanced cultural content is need to be included in the textbook in terms of cultural subjects, backgrounds, and types in order to help EFL learners enhance their intercultural competence.
LibGuides: Virtual and Augmented Reality: Reality Lab for VR

Learn about Virtual and Augmented Reality, and services available at the Nexus Collaborative Learning Lab! Policies on the library's 3D printing service
Teacher’s Roles in Implementing Cooperative Learning in Teaching English to Senior High School Students

This research aims to determine roles of teacher in implementing cooperative learning in teaching English. The research takes location at SMAN 3 Poso. This research is qualitative in nature, where the qualitative data are described descriptively. The subject is an English teacher at SMAN 3 Poso, where the data are obtained through observation and in-depth interview. The roles of English teacher at SMAN 3 Poso in implementing Cooperative Learning are described furthermore in this article. Keywords: roles of teacher, Cooperative Learning
LibGuides: University of Limpopo Library Technical Services: Library Self-Check System

The Library Technical Services lib-guide aim to promote library services and facilitate access to materials for users within University of Limpopo (UL), its satellite campuses, and the world. Students self-service
ANALISIS PENERAPAN NORMALIZED WEB DISTANCE: TINJAUAN KASUS GOOGLE DAN COMPRESSION DISTANCE

Currently, various techniques for measuring the proximity between two objects in the internet network are continuously being developed. The objects in question are in the form of concepts, e-mails, words, and so on. Normalized Web Distance (NWD) has proven to be a simple, yet powerful measure of the semantic linkages between the two concepts. NWD has several approaches according to the object being measured, such as Normalized Google Distance (NGD) and Normalized Compression Distance (NCD). NGD and NCD have a way of determining similarity and calculating the distance to find the similarity of two different measuring objects. This paper shows and provides information on the performance of the two NWD approaches, namely NGD and NCD to facilitate understanding of the use of NGD and NCD on various problems. Correct understanding can put the NGD and the NCD in the right case.
Data science: time complexity, inferential uncertainty, and spacekime analytics

"Data science: time complexity, inferential uncertainty, and spacekime analytics." Journal of Statistical Computation and Simulation, ahead-of-print(ahead-of-print), pp. 1–2
THE IMPLEMENTATION OF BILINGUALISM EDUCATION PROGRAMS AT BILINGUAL NURSING DEPARTMENT OF MUHAMMADIYAH UNIVERSITY BANJARMASIN

This research is about the implementation of bilingualism education programs. This study describes the types of bilingual education programs applied and the implementation of bilingual education programs. The research site is at the S1 Bilingual Nursing University of Muhammadiyah Banjarmasin.The researchers used qualitative data using descriptive techniques. The research subjects consisted of 1 English lecturer and third-semester students of S1 Bilingual Nursing. The research instrument consisted of observation and interview as data collection techniques. Data collection was carried out by interview via Whatsapp chat, and observation via Whatsapp group. Observation techniques were used to determine the implementation of the types of bilingual education programs being developedThe results showed that there were four types of bilingual education programs used by lecturer in teaching at the Bilingual Nursing Department of Muhammadiyah University Banjarmasin. The types were Bilingual Structured Immersion, Two-Way Bilingual Education 10/90, Two-Way Bilingual Education 50/50, and Maintenance Bilingual Education. Overall, implementation types of bilingual education programs are good enough, because the implementation of these types has adjusted to the learning materials and indicators in the bilingual class.