Reviewerly/exHarmony huggingface dataset:
The Relationship between Pre-service Childcare Teacher’s Psychological Characteristics and Professionalism

The purpose of this study is to find out whether pre-service childcare teacher�s psychological characteristics affect their childcare teacher professionalism. The subjects were 414 pre-service teachers from 6 universities in Seoul and Gyeonggi-province, Korea. The results show that total professionalism was affected by self-efficacy, autonomy, and self- regulation. However, the effects on the sub-factors of professionalism were partly different. This study suggests that pre-service childcare teacher professionalism can be altered by preservice teacher�s psychological characteristics, which are self-efficacy, autonomy, and self-regulation. Therefore, it is important to consider psychological factors as well as technical factors in the childcare teacher training curriculum.
Model Pembelajaran Tipe Kooperatif Think Pair Share (TPS) dalam Pembelajaran Membaca Pemahaman

This study aims to explain the ability to read and the effectiveness of TPS cooperative learning models in learning to read short story comprehension. This type of research is quantitative research with experimental methods. Data collection techniques used were test, observation, questionnaire and interview techniques. The data source is students of class IX MTsN 2 Pasaman. Data analysis techniques in this study were conducted with a normality and homogeneity test. The results of this study indicate that the short story comprehension reading skills of class IX students of MTsN 2 Pasaman after using the TPS learning model are in Very Good qualifications (BS) with an average value of 82.68, while reading short story comprehension before using cooperative learning think pair share type Grade IX students of MTsN 2 Pasaman are of Enough qualification (C) with an average grade of 54.14. Likewise, the hypothesis test conducted tcount g ttable (8.70g1.70) at a 95% significance level.Keywords : reading short story comprehension, think pair share
The Melody of Personality

Author(s): Mikhailova, Anna | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
History Education in the Fourth Industrial Revolution Era -Using ‘Doing History’ Concept in the College History Education-

The Fourth Industrial Revolution is written big in all kinds of discussion about economic innovation as well as educational reform. Often speculated is the Fourth Industrial Revolution’s tremendous speed of development and its formidable power of transformation. Instead of exaggerating and speculating the destructive potential of the revolution, this paper will pay special attention to the conspicuous moves of IT giants like Apple, Microsoft, or Google to invest in educational businesses, and pose the question ‘why education?’. Starting from this question, the history of Industrial Revolution from the First through the Third is revisited, highlighting the education-led feature of the Second Industrial Revolution. If the high education played a decisive role in the Second Industrial Revolution, even more significant role of education is expected for the era of the Fourth Industrial Revolution, facing the rise of Homo Deus equipped with a unprecedentedly advanced technology. In order to cope with the problems caused by the Fourth Industrial Revolution and Homo Deus, innovated education for a creatively and deliberately thinking citizen is desperately needed. This paper critically reviews the Doing History concept as the most promising didactic methodological concept for drawing realistic lessons for innovating history education in Korea. Taking into account the limited conditions of history classes at Korean universities, the possibility of applying Doing History to lecture-led classrooms is more actively discussed.
IMPROVING THE STUDENTS’ SPEAKING SKILLS BY USING CONTEXTUAL TEACHING AND LEARNING METHOD AT GRADE X IN SMK NEGERI 1 SETIA JANJI IN THE SCHOOL YEAR 2020

The objective of the study is to improve the grade X students’ achievement in speaking at SMK Negeri 1 Setia Janji be improved through Contextual Teaching and Learning Method in school year 2020. This research was conducted in grade X of SMK Negeri 1 Setia Janji. This research would be conducted in School year students numbers of 35 people consisted of 28 male students and 7 famel students, because this class the students got the lowest ability in speaking. This research is class action research ( CAR ). To describe the comprehensive data gained, the writer firstly presented  the students’ score in cycle I. there are 35 students. Base on the results of test given, the general implementation of  the first cycle lasts well but is less conductive. The results average value of 71,7 with learning completeness reached 63 % or in other word as many as 22 students from 35 students and remaining 37 % or 13 students do not pass the study. Thus, activity in the first cycle should be repeated for student learning outcomes through the application of Contextual Teaching and Learning can be improved. The average value of the second cycle is 81,5% with learning completeness reached 88,6 % students who do not pass the study are 11,4 % or as much as 4  with learning competences reached 88, 6 % students, while students who  students. Thus, activity on the second cycle need not be repeated. Thus, activity on the second cycle need not be repeated because it exceeds the specified indicators of success that is as much as 88, 6 % of students scored ≥ 65. As more data can be described in the discussion. It is suggested that further research in the same topic should take those relevant factors into consideration. Moreover, in terms of the relationship between pictures and communicating, the writer recommends Contextual Teaching and Learning practice as a means of enhancing students’ mastery of speaking. Key words : Improving, Speaking, Communicating, and Pictures
Photobot : An Exploring Robot

Sometimes when terrain is inaccessible to humans we use robots to help us explore it. In this project a self navigating robot was created that used ultrasonic sensors to detect obstacles in its pat ...
Upper confidence tree for planning restart strategies in multi-modal optimization

In the context of gradient-free multi-modal optimization, numerous algorithms are based on restarting evolution strategies. Such an algorithm classically performs many local searches, for finding all the global optima of the objective function. The strategy used to select the restarting points (i.e., the initial points of the local searches) is a crucial step of the method. In previous works, a strategy based on reinforcement learning has been proposed: the search space is partitioned and a multi-armed bandit algorithm is used to select an interesting region to sample. This strategy significantly improves the main optimization algorithm but is limited to small dimensional problems. In this paper, we propose an algorithm tackling this problem. The main contributions are (1) a tree-based scheme for hierarchically partition the search space and (2) a multi-armed bandit strategy for traversing this tree. Thus, a node in the tree corresponds to a region of the search space, and its children partition this region according to one dimension. The multi-armed bandit strategy is used to traverse the tree by selecting interesting children recursively. We have experimented our algorithm on difficult multi-modal functions, with small and large dimensions. For small dimensions, we observe performances comparable to previous state-of-the-art algorithms. For large dimensions, we observe better results as well as lower memory consumption.
Latvian Treebank v2.5

Latvian Treebank (LVTB) is in development since 2010. Corpus is annotated manually according to SemTi-Kamols hybrid dependency-constituency grammar model. This version of the treebank contains data used for deriving LVTB version 2.5.
CloudStore: A Framework for Developing Progressive Streaming Games

Cloud-based progressive content streaming has enabled users to try different games without actually installing entire game on their devices. It is challenging for developers to develop and deploy progressive streaming games. Progressive game content streamers should continuously deliver stream of high-quality assets to the client device in minimal time. CloudStore is a framework for offering games as a service (GaaS). The user can import game and all related assets from CloudStore without actually downloading the entire game. Various APIs provided by the CloudStore make the game more viable to effective resource updation. CloudStore provides high-quality gaming experience with low consumption of memory. The paper explains the CloudStore architecture and results on the impact of user bandwidth and compression methods on QoE.
Library Research Guides: Data Visualization: Data Visualization: The Basics

This guide is meant to be a basic introduction to data visualization. Anyone is free to use it!
Sustaining businesses in a global turbulent environment: The role of information sharing / Sidah Idris and Suhana Mohezar.

This study aims to investigate the impact of technology capability and logistics integration commitment on information sharing as well as global supply chain competitiveness. Data were collected from 177 local manufacturing firms that are competing in global markets. The findings indicate that logistics integration commitment is significantly related with information sharing and global supply chain competitiveness. This study however, fails to establish a relationship between technology capability and global supply chain competitiveness. The findings also highlight information sharing as a mediator.
Blockchain Research:A Bibliometric and Text Analysis based Literature Survey

This study utilised two bibliometric analysis methods and a text mining method to provide a systematic and holistic review of blockchain related academic literature. A total of 91 publications related to blockchain were identified from the Scopus1 database. Citation analysis identified security, data integrity, and integration of blockchains as foundations of this area of research. The study then employed keyword analysis to identify themes in blockchain research. Foundation, application, and emerging trend were the themes identified. The emerging trend in blockchain research was identified as the integration of blockchain with internet of things. Text mining was employed to identify additional themes. Technological aspect, business perspective, application areas, security, integrity and trust, models and frameworks, and benefits of blockchains were the additional themes. Finally, the study called for a future research agenda on blockchain research.
Integration of didactic foundations of university educational process with student remote training content

The relevance of the research is due to the phenomenon of remote student learning, provoked by the impact of the global COVID-19 pandemic on the educational process of the University The coronavirus situation has made universities face the need to solve educational problems in conditions that previously had no analogues Integration of the didactic foundations of the University educational process with the content of remote training of the student becomes a key educational strategy of the University in the extraordinary conditions of the coronavirus pandemic spread In the course of the research, the advantages of the frame approach in the implementation of this non-standard educational strategy are established: 1) focus on expanding the volume of assimilated knowledge and information without increasing the amount of time to study them;2) The relationship of learning goals with individual creative abilities of the student;3) Self-organization of an individual virtual educational environment, in which the didactic foundations of the University educational process are integrated with the content of remote training of the student In this regard, this article provides a theoretical and methodological justification of the frame approach to the effective integration of the didactic foundations of the University educational process with the content of remote training of the student As the leading research method, we used a design method focused on integrating the didactic foundations of the University educational process with the content of remote student learning The article reveals the discursive content of remote student learning as a socio-pedagogical mechanism of self-organization of the University educational process in non-standard conditions The didactic features of the frame approach to remote student learning are defined Based on the results of the study, it justifies the algorithm for integrating the didactic foundations of the University educational process with the content of the frames of remote learning The practical significance of the algorithm is proved in the process of implementing didactic frames of remote student learning during the COVID-19 pandemic The materials of the article are aimed at assisting to teachers, methodologists, and University students © 2020 Goriainova et al
An Empirical Analysis of Backward Compatibility in Machine Learning Systems

In many applications of machine learning (ML), updates are performed with the goal of enhancing model performance. However, current practices for updating models rely solely on isolated, aggregate performance analyses, overlooking important dependencies, expectations, and needs in real-world deployments. We consider how updates, intended to improve ML models, can introduce new errors that can significantly affect downstream systems and users. For example, updates in models used in cloud-based classification services, such as image recognition, can cause unexpected erroneous behavior in systems that make calls to the services. Prior work has shown the importance of for maintaining human trust. We study challenges with backward compatibility across different ML architectures and datasets, focusing on common settings including data shifts with structured noise and ML employed in inferential pipelines. Our results show that (i) compatibility issues arise even without data shift due to optimization stochasticity, (ii) training on large-scale noisy datasets often results in significant decreases in backward compatibility even when model accuracy increases, and (iii) distributions of incompatible points align with noise bias, motivating the need for compatibility aware de-noising and robustness methods.
Implementation of vigenere cipher 128 and square rotation in securing text messages

Information that can be in the form of text, image, audio, and video, is a valuable asset that needs to be secured from unauthorized parties. This research aims to study the implementation of Vigenere cipher 128 (VC-128) and square rotation to secure text information. The square rotation is applied to increase the security of the encryption results obtained from VC-128. The randomness of the rotation results was measured using Shannon entropy based on the distance between characters, and the Avalanche Effect measured changes in the encryption results compared to the original text. The square rotation can increase the randomness of the VC-128 encryption results, as indicated by an increase in entropy values. The highest increase in entropy of 34.8 % occurs in repetitive texts with the square size that produces optimal entropy was a 9x9 medium-size square. The Avalanche effect for each test data shows inconsistent results ranging from 44.5 % to 49 %.
Pengaruh Motivasi, Lingkungan Keluarga, Biaya Pendidikan pada Minat Mahasiswa Mengikuti Pendidikan Profesi Akuntansi

Accounting Study Program experiences continuous development, but there are only a few students who are interested in continuing into Professional Accounting Education. The research aims to examine the influence of career motivation, economic motivation, family environment, and perceptions of educational costs on students' interest to study at Accounting Professional Education. Study conducted at the Faculty of Economics and Business, Udayana University. The sample are students at accounting regular program class of 2016, with 181 respondents using simple random sampling. Data collected by questionnaire and analyzed by multiple linear regression. Based on the results, career motivation, economic motivation, family environment, and perceptions of educational costs have a positive effect on student interest in taking the Accounting Professional Education.&#x0D; Keywords: Career Motivation; Economic Motivation; Family Environment; Perceived Education Costs.
1000PLUS Novels Corpus (1.0)

Corpus of literary texts intended as benchmark collection for text categorization. It contains 1000 novels written in polish or translated to polish by various authors. This is an extension of 1000 Novels Corpus (http://hdl.handle.net/11321/312). Each text is stored as separate .txt file and .cmdi metadata description.
Proposal and study of statistical features for string similarity computation and classification

Adaptations of features commonly applied in the field of visual computing, co-occurrence matrix (COM) and run-length matrix (RLM), are proposed for the similarity computation of strings in general (words, phrases, codes and texts). The proposed features are not sensitive to language related information. These are purely statistical and can be used in any context with any language or grammatical structure. Other statistical measures that are commonly employed in the field such as longest common subsequence, maximal consecutive longest common subsequence, mutual information and edit distances are evaluated and compared. In the first synthetic set of experiments, the COM and RLM features outperform the remaining state-of-the-art statistical features. In 3 out of 4 cases, the RLM and COM features were statistically more significant than the second best group based on distances (P-value < 0.001). When it comes to a real text plagiarism dataset, the RLM features obtained the best results.
Model Survei Cerdas Lalu Lintas Harian Rata-Rata (ADT) untuk Perencanaan dan Pemantauan Perkerasan

Survey volume of daily traffic for the planning and supervision of pavement road manually requires effort, time and cost is not cheap. Besides that, accuracy, and speed in getting the data are not timely, especially as real-time data. This study aims to get an intelligent survey model that will function to get daily traffic volume data automatically and in real-time, as well as its processing. The methodology used is to model the survey process by utilizing smart devices, microcontrollers, sensors, and the internet of things, as well as cloud and client-server programming. The survey process model can be divided into two parts, namely part one whose task is to collect vehicle data and part two to collect the axle load of each vehicle, then the data will be sent through an access point to the cloud, cloud data is taken from the access point at the data processing center on the server computer to done processing. The model generating information volume data traffic at speeds up to 67.4 Mbps, to accurately the data 98%, and the real-time and the results of data processing can be used as surveillance of pavement age.
Recount Board Game on Students' Speaking Skills

This study was aimed at finding the effectiveness of “Recount Board Game” in teaching and learning students' speaking skills to the the tenth grade students of SMA Islam Sultan Agung 3 Semarang, Indonesia. The researchers used quasi experimental method and chose two classes for it, they were: X-1 as experimental class with 33 students and X-2 as control class with 34 students. In the both of classes, researchers conducted the research in three steps: pre-test, treatment, and post-test to look for the data then were analyzed by using SPSS for Windows Version 21.0. The result of this study showed that there was a significant difference in the result of pre-test and post-test in both of two classes. The mean of pre-test in experimental group was 59.19 and the mean of post-test in experimental group was 83.03. Whereas the mean of pre test in control group was 57.65 and the mean of the post-test in control group was 76.47. Based on independent t-test, t-value was higher than t-table (4.474 ˃ 1.997) and p l 0.05 (0.000l 0.05). It meant that there was a significant difference in the student's skills achievement between the experimental and control groups. So, it could be concluded that H1 was accepted and the use recount board game was effective in teaching students' speaking skills.
Membership Privacy in Neural Networks for Medical Image Segmentation

Neural networks are known to memorize parts of their training set. Therefore, whenever sensitive information is involved, releasing a trained network may constitute a privacy breach. In this thesis ...
Brownian Motion, Asymptotic Freedom, D–instantons, Psion J|Ψ (November Revolution), Heterotic Superstring Theories

These widespread redistribution phenomenons play the main role on all fields of Modern Physics, namely as The Superstring Theory, M–Theory, D–branes Theory, Elementary Particles Standard Model Theory, Quantum Field Theory (QFT), Conformal Field Theory (CFT), Quantum Mechanics, Quantum chromodynamics (QCD), Quantum electrodynamics (QED), Quantum flavourdynamics (QFD), SUSY (SUPERSYMMETRY THEORY), SUGRA (SUPERGRAVITY THEORY), QUANTUM THEORY, THEORY OF RELATIVITY, LOOP GRAVITY, TOE (THEORY OF EVERYTHING). The first strategic focus is concentrated on Brownian Motion, which was discovered with the law of Photoelectric effect by young Albert Einstein 1921 Nobel Prize Winner for Physics, he received his Nobel Prize one year later in 1922 of Brownian Motion resp. diffusion. The Einstein–Stokes equations described in this article are practically useful on these days, when the All Planet suffered by Coronavirus SARS-Cov2 resp. COVID 19 and namely older died. By this Einstein–Stokes equation we can calculate velocity of diffusion of virus μm – nm (10-6 – 10-9 m) virion particles, which can potentially diffused and infected fresh air or water or soil or blood, these four surroundings so strategic and important for Man and Mankind and all life on the Planet Earth. Asymptotic freedom is very important in QCD for so called hypercharge or color or flavor of quarks and elementary particles. Calculation of Asymptotic freedom is realized by β Function and is different in QCD, QED, and in Non Abelian Gauge Theory. In this text are incorporated Figures of Concept and Evidence of Asymptotic Freedom from LEP (CERN). D–instantons are connected with a geometric understanding of the non–perturbative sector of a wide range of gauge theories (D–branes). D–instantons have significance in the BRANE PHYSICS WORLD. Psi|J Particle is also called PSION (OR MESON Ψ|J) and was discovered in November 1974, when the Elementary Particle Physics and Standard and Quark Model of Particles were on the top of world science interest. Psion is composed from charm quark and antiquark, so called “charmonium” like a “bottomium” – beauty or bottom quark and antiquark –and were the first steps to SUSY (SUPERSYMMETRIC THEORY OF PARTICLES), which says “that each particle has his own antiparticle (superpartner) for example electron e- has positron e+.” Heterotic string theory is connected with 11 DIMENSIONAL SUPERGRAVITY (SUGRA), BRANE GAS, MULTIDIMENSIONAL BRANES, known for the name of Czech Physicist Petr Hořava and Ed Witten (M–Theory).