Reviewerly/exHarmony huggingface dataset:
The Influence of Information Quality and Information System Quality of Regional Assets on User Satisfaction at the Provincial Government of South Sumatera

The Regional Assets Information System application program is used to carry out the process of managing Regional Assets in a computerized manner which aims to harmonize the implementation of Regional Assets Management policies in accordance with applicable regulations.In this study, the influence of information quality and information system quality of Regional Assets Information System on user satisfaction at the Provincial Government of South Sumatera was analyzed.Data collection is conducted using questionnaire.Variable that used in this research are Information Quality, System Quality and User Satisfaction.Data analysis is conducted using Descriptive Statistic and Multiple Regression Analysis.The results showed that the system quality (X1) and the information quality (X2) have an effect either simultaneously or partially on user satisfaction of The Regional Assets Information System application program.
Probability Prediction and Classification

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.
Palm rejection algorithms on touch screen communication system

This paper will discuss one of the most important problems in touch screen systems named palm rejection. Various solutions for palm rejection are discussed through the paper, which are based on hardware modules, software modules, and hybrid software-hardware modules. We hope that our proposed technical research with various solutions will be a great reference for engineers and scientists working on touch screen system design.
Estrategia pedagógica para la formación de competencia digital pedagógica del maestro primario

The pedagogic strategy proposed as a result practical fundamental of the investigation, it offers an effective road for the formation of the pedagogic digital competition that propitiates the integration of the technological, pedagogic, to discipline and social in this process. It is for it that intends as objective elaboration of a strategy of the primary teacher's pedagogic digital competition that facilitates the continuous formation from the instrumental mediation integrating the technological contents, disciplinares and pedagogic with the adoption levels and technological beliefs. Theoretical, empiric and statistical methods were used, such as the analysis-synthesis, historical-logical, systemic structural functional, the observation, interviews, surveys, documental study, descriptive analysis and the analysis inferencial. A pedagogic strategy was achieved that were able to form the knowledge that the primary teacher should possess to act efficiently in his professional activity with the digital technology in the diverse contexts.
Probabilistic Model for Resource Demand Prediction in Cloud

Dynamic cloud infrastructure provisioning is possible with the virtualization technology. Cost, agility and time to market are the key elements of the cloud services. Virtualization is the software layer responsible for interaction with multiple servers, bringing entire IT resources together and provide standardized Virtual compute centers that drives the entire infrastructure. The increased pooling of shared resources helps in improving self-provisioning and automation of service delivery. Probabilistic model proposed in this article is based on the hypothesis that the accurate resource demand predictions can benefit in improving the virtualization layer efficiency. The probabilistic method, uses the laws of combinatorics. The probability space gives an idea about both the partial certainty and randomness of the variable. The method is popular in theoretical computer science. The probabilistic models provide the predictions considering the randomness of the variables. In the cloud environment there are multiple factors dynamically affecting the resource demand needs. The resource demand has a certain degree of certainty but the randomness of requirements. This further leads to decrease in risk related to leveraging cloud services. It accelerates development and implementation of cloud services that overall improves the services pertaining to SLA.
Conditional permutation entropy as a measure for the complexity of dynamical systems

An important but difficult problem in the analysis of dynamical systems consists in determining the system's complexity, analytically and on the basis of given data. As a new approach to this problem, in 2002, Bandt and Pompe introduced the permutation entropy. Their method depends on the distribution of so called "ordinal patterns", which are based on the relative ordering between different values. Since this approach has many theoretical and practical advantages over alternative methods, it has been successfully applied to various real-world problems. However, it is still not completely understood on a theoretical level.In this presentation we will investigate conditional variants of the permutation entropy that were first mentioned in 2014. Two closely related types of conditional permutation entropy will be considered and compared mathematically. Additionally, we will show how this conditional permutation entropy is related to the non-conditional variant. Finally, we will demonstrate why the conditional permutation entropy can be a more efficient measure for complexity than the original permutation entropy.
Research on Basic Scientific Characters of Complexity, and Their Mathematics and Applications

Based on the brief introduction of complexity, first we propose four basic scientific characters of complexity: much elements, various interactions, hierarchies, evolutions. Next, some corresponding mathematical methods of complexity are researched. Third, we discuss complexity in physics, and entropy is an important quantity. Fourth, nonlinearity of complexity is searched. Fifth, we research complexity in biology and neural networks. Finally, we study general sciences of complexity from chemistry, social sciences, to various applications. In a word, complexity is a complex science. Its investigations, developments and applications must be simplification and quantification.
Numerical simulation of fluid injection in faulted and fractured rocks based on a fully-coupled hydro-mechanical model

&amp;lt;p&amp;gt;We present a fully-coupled hydro-mechanical simulation of fluid injection-induced activation of pre-existing discontinuities, propagation of new damages, development of seismic activities, and alteration of network connectivity in naturally faulted and fractured rocks, which are represented using the discrete fracture network approach. We use the finite element method to compute the multiphysical fields including stress, strain, damage, displacement, and pressure by solving governing and constitutive equations of coupled solid and fluid domains. Essential hydro-mechanical coupling mechanisms are honoured such as pore pressure-induced shear slip of natural discontinuities, poro-elastic response of rock matrix, and stress-dependent permeability/storativity of both fractures and rocks. We use the numerical model developed to investigate the hydro-mechanical behaviour of deeply buried fractured rocks and fault zones in response to high-pressure fluid injection, with a specific focus on the system either below or above the percolation threshold. We observe a strong control of fracture network connectivity on the damage emergence, seismicity occurrence and connectivity change in the rock mass subject to hydraulic stimulation. We highlight the strong poro-elastic effect that tends to drive heterogeneous connectivity evolution of fracture systems during fluid injection. The results of our research and insights obtained have important implications for injection-related geoengineering activities such as the development of enhanced geothermal systems and extraction of hydrocarbon resources.&amp;lt;/p&amp;gt;
Decision Support System For Determining Campus Promotion Media In New Student Admissions With Analytical Network Process And Regression Methods

Campus promotion is carried out in an effort to introduce the campus to the community, especially prospective new students. This effort was carried out as an action that was considered effective in recruiting new students. Various obstacles experienced by tertiary institutions in implementing campus promotion, namely the lack of need for supporting funds, limited human resources (HR), the right decision system for the selection of promotional media. This study analyzes the decision support system in selecting the right promotional media for campus promotion. The research objective is to assist campus management in selecting the right promotional media with a decision support system for determining the promotion media for new student admissions and determining the priority of the promotional media that will be used by private universities (PTS) in the city of Kendari. The sample in this study amounted to 40 respondents from 24 universities. The method used is the Analytical Network Process (ANP) method and the Regression method uses factor analysis. The results of the research analysis show that promotional media using the campus website has a number one rating, namely with a value of 26.2% while word of mouth has a second rating of 23.3%, then social media with a score of 23.1%, brochure 8.9%, print media and electronic media with a value of 6.2% and billboards have a value of 5.7%.
Influencing Reinforcement Learning through Natural Language Guidance

Interactive reinforcement learning (IRL) agents use human feedback or instruction to help them learn in complex environments. Often, this feedback comes in the form of a discrete signal that’s either positive or negative. While informative, this information can be difficult to generalize on its own. In this work, we explore how natural language advice can be used to provide a richer feedback signal to a reinforcement learning agent by extending policy shaping, a well-known IRL technique. Usually policy shaping employs a human feedback policy to help an agent to learn more about how to achieve its goal. In our case, we replace this human feedback policy with policy generated based on natural language advice. We aim to inspect if the generated natural language reasoning provides support to a deep RL agent to decide its actions successfully in any given environment. So, we design our model with three networks: first one is the experience driven, next is the advice generator and third one is the advice driven. While the experience driven RL agent chooses its actions being influenced by the environmental reward, the advice driven neural network with generated feedback by the advice generator for any new state selects its actions to assist the RL agent to better policy shaping.
Poučevanje matematike v živo in na daljavo – primerjava dosežkov študentov na kolokvijih

t The paper describes the results of the case-study where the students’ outcomes in the mathematics midterm exams were compared regarding the type of the teaching method used during the course: in-class or online. In the analyses, various factors such as prior knowledge of math from secondary school, engagement in learning activities, and success in e-lessons were taken into account. The results of the case study could not confirm any significant difference in average outcomes of both groups of students. We can therefore conclude that the type of the teaching method (in-class or online), as well as the method of knowledge examination, have no significant impact on students’ outcome. Furthermore, the results also showed that the students who took the course online expressed a higher level of engagement in comparison to those who participated in class. Their greater engagement in learning activities can be explained through the fact that the online course took place during lock-down due to COVID-19 pandemic in Slovenia. Namely, the strong lock-down measures disable the students to perform various extracurricular activities, which can result in their stronger motivation to perform study activities on a regular basis.
An enhanced approximation algorithm to find minimum representative pattern sets

The problem of selecting as few as the possible number of sets that would cover the whole universal set is called a set cover. The commonly used set cover algorithm GreedySetCover gives a better approximation result. There are various alternative algorithms for GreedySetCover are proposed in the research, depending on the nature of the problem. This paper proposes an enhanced GreedySetCover algorithm such as MaxFrequentGroupGreedy to find the minimum number of representative pattern sets by combining two or more maximum frequent itemsets groups and checking set cover among them. The groups are combined by using the percentage difference formula and set cover is done by removing the itemset which is contained in another itemset in the combined group. The effectiveness of this approach is tested on frequent itemsets which are determined from NCFP-tree and ModifiedRPset algorithms and a reduced number of representative itemsets is obtained. The reduced itemsets approximate all other itemsets.
A NEW APPROACH TO PEDAGOGICAL CONTROL OF THE PROFESSIONAL ACTIVITY OF A TEACHER OF TECHNOLOGY

The methods of studying, analysis and pedagogical control of the professional activity of a teacher of technology are considered.
Consumer acceptance of virtual reality when browsing for apparel

With the growth of virtual reality, many opportunities exist for retailers, but consumers may not be ready to use virtual reality when browsing for apparel. To determine the acceptance of virtual reality among consumers, an adapted technology acceptance model (TAM) was tested including the variables of perceived enjoyment and perceived innovativeness. To collect data, 407 participants in the USA were exposed to an online virtual reality experience on their personal computers. Afterward, participants completed an online survey. The results of this study found that perceived enjoyment had a positive relationship with perceived usefulness and perceived ease of use, while perceived usefulness was found to relate to perceived innovativeness and perceived ease of use. Surprisingly, perceived ease of use was not found to have a positive relationship with attitude in this study. The adapted TAM was also determined to be an appropriate theoretical framework for understanding the acceptance of virtual reality when browsing for apparel.
A Study on the Korean Cultural Cognition of Mongolian Learners

This study aims to determine the degree of Korean cultural cognition in Mongolian learners studying the Korean language and culture. Korean language learners in Mongolia face the issue of being unable to directly become acquainted with Korean culture. Therefore, there is a need to organise training that creates a cultural learning classroom environment and decreases culture shock to support Korean cultural cognition. Within the framework of the research, the learners’ knowledge, and attitude towards Korean culture, cultural experiences, obstacles caused by Korean and Mongolian cultural differences, and overcoming of these obstacles were identified. In doing so, this study defined the Korean cultural cognition of the Mongolian learners. Specifically, its predominant finding was based on a survey conducted among the learners at Ulaanbaatar 2 Sejong Institute. First, teaching institutions, movies, and dramas play a primary role in learning Korean. Second, the knowledge of the Mongolian learners of Korean culture was reasonably high, at 52.2%-90.4%. Third, 52.6%-86.2% of the learners have some Korean cultural experience. Fourth, the cultural attitude of the learners towards Korean culture was 62.2%-91.6% positive. Last, 62.2%-91.6% of the learners reported a certain cultural difference between Korean and Mongolian cultures. 66% of the learners admitted that they had faced some obstacles caused by cultural differences. However, they emphasised that they are learning to overcome such obstacles.
UPAYA PENINGKATAN KEMAMPUAN SISWA DALAM MENJAWAB PELAJARAN BAHASA INDONESIA DENGAN MENGGUNAKAN MEDIA AUDIO VISUAL

The research was conducted as an effort to improve students' ability in learning the Indonesian language using Visual Media Audio as part of improving student learning. Improving students 'abilities must be supported by teachers who have good creativity and motivation to improve students' abilities in learning. Indonesian Language Learning is a daily language of students that need to be managed properly, especially related to the teaching method.&#x0D; The results showed that: First: the average Indonesian language learning outcomes of class III students increased by 10.35 points from Pratindakan (58.93) to Cycle I (69.28), an increase of 11.61 points from Cycle I to Cycle II (80.89), and increased by 21.96 points from Primary actions to the end of the action. Second, the percentage of completeness in learning Indonesian language students showed an increase from Pratindakan (21.43%), Suklus I (92.85%), to Cycle II (96.43%). Third, through audiovisual media methods can improve Indonesian language learning outcomes of third-grade students of SDN 018 Tenggarong in the academic year 2018/2019. Fourth, learning methods using audiovisual media can activate students in the process of learning Indonesian in answering questions.&#x0D; &#x0D; Keywords: Learning, Indonesian, Audio Visual.
A Study on Historiography Related to Women during the Japanese Colonial Period in High School Textbooks of “Korean History” by 2015 Revised Curriculum

This study explored the historiography related to women during the Japanese colonial period in the eight high school textbooks of “Korea History” by 2015 revised curriculum with an idea of describing women as an agent of history. Generally, the textbooks pay attention to women’s history. However, women are just memebers of the nation in the historiography; the experiences of women are described not with the factor of gender but mainly with the factor of nation. Therefore, it is not convinced that women are an agnet of history in the historiography. Nonethless, there is a case of writing feminist history in the part of March 1st Movement not only with the factor of nation but also with the factor of gender. In addition, ‘the Society of Girls’ and Gang Ju Lyong, a working woman, are good topics with the factor of nation, class and gender. Ultimately, fundamental changes of perception of history are needed to understand women as an agent of history reflecting the point of view and experiences of women in the total history. Therefore, it is not good to overestimate the partial progresses of the textbooks. However, these changes will be the starting point to develop the historiography of feminist history.
LibGuides: State Library of Pennsylvania Virtual Farm Show Booth 2021: STEMlab and Makerspace

Welcome to the State Library's Virtual Farm Show Booth! Here you will find links to story times, a short video about how to find your ancestors, Rare books and preservation tips, Makerpace STEM activities, and more! Specializing in STEM and hands-on learning, the State Library STEMLab offers programs and access to technology for young and old alike
Water Allocation Efforts with Water Balance Analysis in the Jatiroto Sub-Watershed and Asem Sub Watershed, Lumajang Districts

Currently, water demand is increasing, both domestic, industrial and agricultural water needs. However, the increase in water demand is not due to an increase in the water availability due to changes in land use and other factors that pose a threat to increased exploitation of water resources. So it is necessary to analyze and evaluate the water needs to anticipate the impact of drought in the Asem-Tekung-Jatirowo sub watersheds. The calculation of water supply and water demand can be carried out using the water balance method, assisted by the WEAP (Evaporation and Water Planning) program, through data integration of streamflow analysis and water user in the river reach. The results showed that the sub-watershed area showed a deficit of water in 2013, with the Jatiroto region having the highest air deficit of 1.58 million m3 or 44.2%. Based on this analysis, urgently needed a recommendation of drought anticipation strategies these are planting patterns to adjust condition of water supply, storage of water reserves, conservation of critical land, and repair of channels that are at risk of water seepage.
Soldiers Border Alert System with Fall Detection Monitoring

It is concerning the safety of the soldiers, It reports an Internet of Thing(IOT) based Soldiers Border Alert System With Fall Detection Monitoring. This Proposed method is when the soldiers crossing the border and the soldiers health will critical an it would alert to control room. The GPS tracking of soldier's current location. The informations are Transmitted to the control room through Email/SMS. The proposed method of tiny wearable physiological equipments, sensors, and transmission modules. Designing of this system using GPS is wireless system for tracking the soldiers location and the GYROSCOPE sensor is measuring the soldiers body angle. So the soldier fall down it would measuring the angle and read the soldiers health status. The Proposed System uses RSSI module for signal strength for data receiving from the soldier.