Reviewerly/exHarmony huggingface dataset:
Measuring English Language Education Department Students’ Speaking Fluency Level

This research aimed at investigating English Language Education department students’ speaking fluency level. The research subjects were twelve third-semester students of English Language Education Department at the University of Muhammadiyah Malang. Mixed method was used in this research. The data were collected in the form of audio transcription. Three fluency standards were used, namely speech rate, pause rate, and disfluent syllable. The result showed that all of the students obtained the disfluent syllable, with a score below 30 disfluencies per minute. The majority of students obtained a low level of speaking fluency in terms of speech rate and pause rate. The average of students’ speech rate was below 162 syllables per minute and the majority of students’ pause rate was above 1 second. In conclusion, two students achieved level 3 (good) of speaking fluency and ten other students achieved level 2 (intermediate). Key Word: English language education students, fluency level, speaking
Engagement and Good Membership Behavior of the Elderly Affecting the Performance of Elderly Clubs in Thailand

This mixed-method research aimed to examine the levels of engagement and good membership behavior of the Thai elderly and investigate the performance of the elderly clubs in Thailand. The present research also focused on the variance of opinions about the performance of the elderly clubs resulting from personal factors, and the structural equation model of causal variables affecting the performance. The problems, obstacles, and approaches to developing the performance were also studied and discussed. Regarding the quantitative research, the respondents were 1,145 elderly members from 392 elderly clubs and the instrument was questionnaire. In terms of the qualitative research, the 20 key informants were from 4 elderly clubs. The interview and interpretation techniques were used to collect and analyze the data. The results showed that the overall engagement and membership behavior of the elderly members was at a high level. The overall performance was at the highest level. The elderly’s engagement and the good membership behavior were the variables that had a positive direct influence on the performance. The results indicated that the elderly members with different ages, educational backgrounds, and monthly income levels had different opinions about the performance of the elderly clubs. As for the structural equation model, it was found that the model fit the empirical data at an acceptable level. The problems and obstacles of the elderly clubs included inconsistent participation and mismatched activities. The approaches to developing the performance of the elderly clubs were associated with cooperation from various agencies and family support.
Measurements of Quantum Hamiltonians with Locally-Biased Classical Shadows

Obtaining precise estimates of quantum observables is a crucial step of variational quantum algorithms. We consider the problem of estimating expectation values of molecular Hamiltonians, obtained on states prepared on a quantum computer. We propose a novel estimator for this task, which is locally optimised with knowledge of the Hamiltonian and a classical approximation to the underlying quantum state. Our estimator is based on the concept of classical shadows of a quantum state, and has the important property of not adding to the circuit depth for the state preparation. We test its performance numerically for molecular Hamiltonians of increasing size, finding a sizable reduction in variance with respect to current measurement protocols that do not increase circuit depths.
Implementasi Algoritma K-Means Dalam Pengelompokan Kasus Penyakit Tuberkulosis Paru Berdasarkan Provinsi

Pulmonary tuberculosis is a lung disease caused by germs that cause symptoms of excessive coughing. In Indonesia, pulmonary tuberculosis is a disease in the top five countries with many pulmonary tuberculosis. The purpose of this study was to determine the high and low number of cases of pulmonary tuberculosis in the province. In this study the data used were sourced from the National Statistics Agency for 2007-2015. For this reason the authors use data mining techniques in the data processing with k-means clustering method to obtain information based on data that is processed as a reference to find out the number of cases of pulmonary tuberculosis that most suffered by province. The results of this study are grouping the number of cases of pulmonary tuberculosis with 3 clusters, namely high cluster, medium cluster, low cluster. From the calculation of k-means, there were 3 provinces as high clusters, 3 provinces as medium clusters, and 28 provinces as low clusters. The implementation process using the RapidMiner 5.3 application is used to help find accurate values.
Guides: Technical Direction + Scenic Tech + Stage Automation: Home

Research resources for the study of technical direction, scenic technology, and stage automation.
THE USE OF OPEN PLATFORMS FOR THE IMPLEMENTATION OF ONLINE LEARNING: THE SEARCH FOR OPTIMAL FORMS

Today, technical prerequisites have been created in Russia for the introduction and widespread use of distance learning, and Internet resources are becoming increasingly popular among young people because their advantages include easy accessibility, a free-of-charge basis, and ease of use. Also, new opportunities are opening up for universities that have started implementing so-called distance education systems based on modern platforms. The article defines the features of using open platforms for implementing various forms of on-line training; the theoretical analysis of the main concepts of the articulated topic of the article has been carried out.
SOCIAL ORIENTATION OF CULTURAL AND EDUCATIONAL PROJECTS IMPLEMENTED IN CULTURAL INSTITUTIONS OF MOSCOW

State cultural institutions play a crucial role in the process of forming and meeting the cultural needs of society, as well as creating conditions and technologies necessary for the personal comprehensive development and creative self-realization, ensuring active cultural and leisure activities of citizens and maintaining the proper level of culture as a material and spiritual human environment. For these purposes, socio-cultural projects of a different character and for different audiences are developed and implemented, which have become widespread in Russia in recent decades. The object of the research is the cultural and educational projects implemented in Moscow in the 2000s. The work used theoretical and empirical research methods. Theoretical methods include review and generalization of scientific and methodological literature and project documents, the experience of forming and implementing socio-cultural projects in cultural institutions of Moscow, while empirical methods are practical participation in events and projects of cultural institutions and development of socio-cultural programs. The study has concluded that the social orientation of modern socio-cultural activities is connected to the need to solve acute social problems of Russian society. Among these problems, the authors single out those that are directly related to the social well-being and physical self-preservation of the majority of Russian people, such as unemployment, low living standards, social deviations and dependencies, crime, immorality, etc.
Forecasting Cryptocurrency Returns and Volume Using Search Engines

In the context of the debate on the role of cryptocurrencies in the economy as well as their dynamics and forecasting, this brief study analyzes the predictability of Bitcoin volume and returns using Google search values. We employed a rich set of established empirical approaches, including a VAR framework, a copulas approach, and non-parametric drawings, to capture a dependence structure. Using a weekly dataset from 2013 to 2017, our key results suggest that the frequency of Google searches leads to positive returns and a surge in Bitcoin trading volume. Shocks to search values have a positive effect, which persisted for at least a week. Our findings contribute to the debate on cryptocurrencies/Bitcoins and have profound implications in terms of understanding their dynamics, which are of special interest to investors and economic policymakers.
Research on the Application Prospect of Energy Blockchain in Power Grid Enterprises

Blockchain technology used widely in the financial field. As a representative of payment tools, Bitcoin impacted the monopoly of traditional finance and currency. As the key technology of Bitcoin operation, blockchain technology also has broad prospects in the energy field. Based on the analysis of the application prospects and related influences of blockchain technology in the field of energy and power, this paper puts forward an application model suitable for power grid enterprises and gives corresponding countermeasures and suggestions.
Risk-Oriented Approach in the Implementation of Preventive and Recovery Measures of State Control and Supervision of Educational Organizations

Purpose: This article analyses the procedural content of the preventive and restoration set of measures of state control and supervision in organizations carrying out educational activities, and considers the possibility of their implementation within the framework of a risk-oriented approach. Design/Methodology/Approach: The authors consider modern conceptual approaches that reveal such concepts as administrative and legal measures, measures of administrative and legal restriction. Findings: Analyzing the legislation regulating the activities of Federal Education and Science Supervision Service for organizations conducting educational activities, the authors classify the issuance of a warning about the inadmissibility of violation of mandatory educational requirements as a special administrative-restrictive measure, disclose the nature of prevented violations of mandatory educational requirements and highlight special evaluation criteria for their qualification. Originality/Value: The authors determine preventable violations of mandatory educational requirements and assess the possibility of introducing a risk-oriented model of preventive and restorative measures of state control and supervision of educational organizations into the practice of Federal Education and Science Supervision Service by developing a normative act “Regulation on state control and supervision of educational organizations,” which includes a special section “Organization for the prevention of violations of mandatory educational requirements.” In this section, it is recommended to consolidate material administrative and legal norms governing the most important administrative and power powers of officials of Federal Education and Science Supervision Service to apply preventive and restorative measures. Special administrative procedures governing the preventive and restoration procedure for monitoring and overseeing the implementation of mandatory educational requirements by organizations of the appropriate type are proposed to be fixed in the Administrative Regulations of Federal Education and Science Supervision Service on the organization of the prevention of violations of mandatory educational requirements.
QR Staff in the News

Staff members in the QR Center are involved all around Dickinson's campus. This page is intended to highlight their work and accomplishments!
A Fuzzy Approach for Handling Relationship Between Security and Usability Requirements

Security is an essential part of the improvement for value programming, so as Usability is natural and significant factor for creating quality system. The discrepancy among Usability and protection be generally perceived examine issue in diligence as well as for scholarly community. Disappointment to plan frameworks, which are at the same time usable as well as secure, may perhaps cause incident anywhere individual mistakes show the way towards safety breaks. Scholarly study distinguishes to facilitate usability vs. safety struggle can be real best handle by requirement along with design phase of the framework improvement. The principle target of the security is to give restricted access to the security concentrated data though the goal of usability is to give simple access of the verified application. Usable security can be more interesting because of the expanding use of PCs with upgraded usability and protection criteria in it. While recovering the usability through security of system, fundamental securities as well as usability qualities assume a significant work. Thus, usable security assessment utilizes security and usability credits towards accomplish ideal security actions through usability. In this paper a Fuzzy approach system is assess to identify the needs and overall usable—secure and the effect of safety on the Usability and vice versa assessed by quantitatively. The outcomes got with ends helpful for professionals to get better usable–secure of the system.
ADVANCE SCHEME FOR PRIVACY PRESERVATION ON DATA USING CLUSTERING

Data sharing between two individuals, organization or association is normal in numerous application zones like data sharing for any reason. At the point when information is to be shared between two people, organizations, there could be some delicate information, which ought not to be uncovered to the next parties. If that information will unveil that will mess up a specific person. Clinical records are progressively touchy along these lines; security insurance is paid attention to increasingly about clinical information. According to the prerequisite by the Health Insurance Portability and Accountability Act (HIPAA), it is important to secure the protection of patients and guarantee the security of the clinical information. We propose a strategy called the Hybrid methodology for security saving utilizing grouping. To start with, we randomizing the first information. At that point, we apply speculation on the randomized or adjusted information. This method ensures private information with better precision, additionally, it can remake unique information and give information no data misfortune, no character exposure, and gives get to control of the information to specific people and makes the ease of use of information.
First webinar on digital skills for creation

Webinar 1: To create or not to create is never the question Friday 27 November 2020 – 10 a.m. till 12 p.m. The first webinar that took place on ...
LibGuides: Faculty Guide: Request Instruction Support

Best practices and helpful recommendations from your IU Kokomo Librarians Request workshops, research consultations, or the creation of online guides to support your curriculum.
A Development of Adjustable Standing and Automatic Stop Electric Wheelchair Prototype Operated with A Smartphone

The objective of this research is to develop a smart adjustable standing-sitting wheelchair prototype that can be operated with a smartphone. Its distinctive feature is the ability of standing-sitting adjustment and automatic stop when approaching obstacles. This device can be controlled from installed joysticks and Android smartphone control program. Arduino microcontroller is the main processing unit to control drive system operating. A Linear actuator is used for standing-sitting adjustment. An ultrasonic sensor is used to make the smart wheelchair stop automatically when detects obstacles. A wheelchair tested showed that it can move at a speed of approximately 3 kilometers per hour, take 14.30 seconds for standing upright adjustment, release down 13.56 seconds, and average automatic stopping distance is 43 centimeters
Interest Rate Model with Investor Attitude and Text Mining

This paper develops and estimates an interest rate model with investor attitude factors, which are extracted by a text mining method. First, we consider two contrastive attitudes (optimistic versus conservative) towards uncertainties about Brownian motions driving economy, develop an interest rate model, and obtain an empirical framework of the economy consisting of permanent and transitory factors. Second, we apply the framework to a bond market under extremely low interest rate environment in recent years, and show that our three-factor model with level, steepening and flattening factors based on different investor attitudes is capable of explaining the yield curve in the Japanese government bond (JGB) markets. Third, text mining of a large text base of daily financial news reports enables us to distinguish between steepening and flattening factors, and from these textual data we can identify events and economic conditions that are associated with the steepening and flattening factors. We then estimate the yield curve and three factors with frequencies of relevant word groups chosen from textual data in addition to observed interest rates. Finally, we show that the estimated three factors, extracted only from the bond market data, are able to explain the movement in stock markets, in particular Nikkei 225 index.
COMPARATIVE ANALYSIS OF PREDICTVE MODELS ON ONLINE EDUCATION IN CONTEXT OF COVID-19 – A CASE STUDY

1 Stefan cel Mare National College of Suceava (ROMANIA)2 Stefan cel Mare University of Suceava (ROMANIA)
AESTHETIZATION OF THE EDUCATIONAL ENVIRONMENT OF A PEDAGOGICAL INSTITUTION OF HIGHER EDUCATION AS A CONDITION OF THE CULTURAL AND SPIRITUAL DEVELOPMENT OF THE FUTURE TEACHER

The article reveals the theoretical aspects of aesthetic education of students of higher educational institutions, the aestheticization of the educational environment, which is considered as an activity basis and a stable set of cultural values of an educational institution,&#x0D; The article reveals methodological approaches to the problem of aesthetic education of young people, such as a systemic, synergetic, acmeological and environmental approach, which is defined as a set of principles and ways of using the educational capabilities of the environment in the personal development of a person.&#x0D; The author focuses on the decisive role of the environmental approach in solving the main task of higher education for the preparation of such specialists who, by their actions, assessments, and their own worldview, take part in the cultural life of society.&#x0D; The article gives a characteristic of the object-aesthetic environment as a derivative of the concept of "aesthetic environment", which in its structure contains material and aesthetic elements, united into a single whole in such a way that the objects that form it simultaneously become carriers of aesthetic and functional purposes.&#x0D; It is concluded that the combination of the pedagogical and aesthetic potential of the environment of a pedagogical higher educational institution is an important condition for the upbringing of future teachers, since the aesthetic possibilities of the content of educational material, the organization of the educational process and student activities, as well as the aesthetic possibilities of the teacher are considered by us as a means of forming an aesthetic environment pedagogical higher educational institution.
Hamming Weight of Product of Random Sparse Polynomials

Consider two random binary vectors x, y ∈ {0, 1}n of which each coordinate is 1 with small probability e independently from the others. It is easy to see that the Hamming weight of their sum x ⊕ y is strongly concentrated around the expectation by the standard probability analysis for independent random variables such as the Chernoff bounds, that is, wt(x⊕y) is in $(1 \pm 0.1){\mathbb{E}}[{\text{wt}}(x \oplus y)]$ with probability 1 − exp(−Ω(en)), where ${\mathbb{E}}[{\text{wt}}(x \oplus y)] = 2\varepsilon (1 - \varepsilon )$. In this paper, we focus on the Hamming weight of their “product” x • y defined as a product of polynomials over the ring ${{\mathbb{F}}_2}[t]/\left( {{t^n} - 1} \right)$, which is utilized for construction of the post-quantum public-key encryption scheme HQC [3]. In the case of the product, the standard analysis does not work because of correlations among the coordinates of x • y. We prove weak concentration bounds for the Hamming weight of x • y from Chebyshev’s inequality by analyzing the correlations. For example, we can show that x • y is in $(1 \pm 0.1){\mathbb{E}}[{\text{wt}}(x \cdot y)]$ with probability 1 − O(e3n) for $\varepsilon = \Omega (1/\sqrt n )$ from the bounds, where ${\mathbb{E}}[\operatorname{wt} (x\cdot y)] = \left( {1 - {{\left( {1 - 2{\varepsilon ^2}} \right)}^n}} \right)n/2$.
Particle-Based Online Bayesian Learning of Static Parameters with Application to Mixture Models

This thesis investigates the possibility of using Sequential Monte Carlo methods (SMC) to create an online algorithm to infer properties from a dataset, such as unknown model parameters. Statistica ...
Effect of determinants of innovation on economic growth in Sub Saharan Africa

The currently observed incorporation of hidden and non-technological innovations, together with the emergence of the modern day fourth industrial revolution is actually contributing to change in our understanding of innovation and its measured contributions to success in entrepreneurship. This study provides a quantitative longitudinal study of the determinants of innovation, their role in entrepreneurship innovation capacity and how they collectively add value to economic growth in sub-Saharan Africa. The study used fixed effects with country dummies in the analysis where Stata software was used. The empirical results indicated that capital for domestic investment, labour, innovation and foreign direct were positively and significantly correlated with economic growth in SSA. It was concluded that the above variables were positively and significantly correlated with economic growth in SSA. It is recommended that respective countries should put in mechanisms to capitalize from the positive benefits of the above on the economy. This could be through increased investments in tertiary institutions and reduction of bureaucracy and corruption that will not only increase high quality production through increased labour productivity, but will also foster fair competition in the markets. Keywords: entrepreneurship, innovation, economic growth, Sub-Saharan Africa
A Study on the Determinants of Japanese FDI into Korea : A Markov Switching Dynamic Model Approach

Purpose : This study is to find out which factors affect the Japanese firms’ foreign direct investment(FDI) into Korea by the ‘contraction state’ and the ‘expantion state’. Research design, data, methodology : Using the quarterly data of Japanese FDI from 1980: Q1 to 2019: Q4, we analyzed the relationship between Japanese FDI into Korea and potential explanatory variables via the Probit Model and Markov Switching Model estimation. Results : The results of Markov-switching regression show that during the contraction periods (‘State’ 0), unit labor costs have a negative effect on the inflow of Japanese FDI. In contrast, during the expansion period(‘State 1’), the economic growth of Korea, Japan, and the United States have a positive effect. In addition, the relationship between the bilateral conflict periods of Korea and Japan and the contraction periods of Japanese FDI is ambigous in the long-run. Conclusions : Recent slowdown in economic growth in Korea and the increase in labor costs seem to have caused a contraction in Japanese FDI into Korea. Therefore, policy to reduce the production costs and to enhance the profitability of the investors are necessary to increase Japanese FDI into Korea.