Reviewerly/exHarmony huggingface dataset:
The use of picture series to improve students’ reading achievement at the first year of SMAN 1 Pringsewu

This research was aimed to investigate whether there was statistically significant improvement of students’ reading comprehension achievement on narrative texts after the implementation of the picture series technique. It was conducted at SMAN 1 Pringsewu in the academic year of 2019/2020. The subjects were 33 students of the first grade. Pre-test and post-test design were applied in this research. The data were collected by using reading tests in form of multiple choice objective test with four alternative answers. The data were in form of scores taken from the pre-test and post-test and they were analyzed by using Paired Sample t-test. The result of pre-test and post-test were calculated and compared using SPSS 2.0 to see the significance level.The result showed that the significance level was less than 0.05. It also indicated that there was a statistically significant improvement of students’ reading comprehension achievement after the implementation of picture series technique. In addition, identifying main idea was the aspect that improved the most, meanwhile understanding vocabulary was the lowest improved aspect. Therefore, this suggests that the picture series technique facilitates students to improve their reading comprehension achievement.
FINANCIAL LITERACY TRAINING ON REPAYMENT OF BUSINESS DEVELOPMENT FUNDS LOANS IN RWANDA

This study sought to determine the influence of financial literacy training on repayment of business development funds loans in Rwanda. The research covered the business people with loans at BDF within Nyarugenge District. The study adopted a cross-sectional survey research design and in-depth interviews which allowed the collection of primary quantitative data through structured questionnaires. Target populations of 300 finance managers/ accountants of SMEs comprising 164 trading 26 manufacturing, 10 hairstyling, 62 dressmaking, and 38 carpentry enterprises. Stratified random sampling technique was used to obtain a sample of 172 SMEs. B oth primary and secondary data was used for the study. Primary data was collected using a well-structured questionnaire. The study utilized questionnaires as an instrument for data collection. Data was analyzed for descriptive and inferential statistics using SPSS version 21. Descriptive statistics such as tables, graphs, charts and percentages analysis were used for presentation of data. Also, a linear regression model was used to analyze quantitative data and was developed and tested to explain the relationship between various proxies of determinants of loan repayment in Rwanda. There was Strong positive and significant effects of financial literacy training on loan repayment (β = .444; t = 1.815; p &lt; 0.05). The study concluded that BDF loan was faced with a number of challenges in its attempt to empower the SMEs in Rwanda, specifically in Nyarugenge District. Some of the challenges included inadequate training to the SMEs in Nyarugenge District in Rwanda. BDF employees were trained effectively and therefore had relevant skills as far as microcredit was concerned. Clear legal recovery procedure and legislation that punished defaulters was lacking. These structures needed to be put in place by the fund management if successful loan recovery was to be achieved. Majority of the youths felt that the amount of loan given was very little leading to poor capital formation. In addition, most groups experienced problems in borrowing money including long duration taken between application and receiving of funds, small amount of loans awarded, group formation problems, a lot of documentation required, lack of training on loan usage, processing speed of the loan was too low as well as long access procedures. Keywords: Financial Training Literacy, Repayment, Business Development Funds Loans, Rwanda CITATION: Niyongabire, B., &amp; Mulyungi, P. (2020). Financial literacy training on repayment of business development funds loans in Rwanda. The Strategic Journal of Business &amp; Change Management, 7 (4), 1451 – 1461.
СТИЛІ УПРАВЛІННЯ МЕНЕДЖЕРІВ ОСВІТНІХ ОРГАНІЗАЦІЙ (У КОНТЕКСТІ СТАВЛЕННЯ ДО ЗМІН): ЗВ’ЯЗОК ІЗ ЧИННИКАМИ МЕЗО- І МІКРОРІВНЯ

Management in the context of innovative changes in educational organizations requires the need to rethink the management style of the education manager, in particular, to study the relationship with the factors of meso- and micro-levels. The connection between the types of managers of educational organizations (in the context of attitude to change) and organizational-functional, organizationalprofessional and socio-demographic factors is empirically investigated. There are three types of managers of educational organizations (in the context of attitudes to change): “Traditionalist”, “Realist”, “Freethinker”. It is stated that managers who belong to the types of “Realist” and “Free-thinker” use innovative management styles, and managers who belong to the type of “Traditionalist” use traditional management styles (in the context of attitude to change). Among the managers of educational organizations are insufficiently represented those who use innovative management styles (in the context of attitude to change). The influence of the factor “term of existence of the educational organization” on the expressiveness of educational managers of the type “Free thinker” who use innovative management styles is established. Did not show a statically significant relationship with such characteristics of the organization as “type of educational institution”, “location of the organization”, “number of people working in the organization”, “number of children studying in the institution”, “status of the organization in education system of the city (region)”. There are statistically significant relationships between the types of managers of educational organizations (in the context of attitudes to change) and organizational, professional and socio-demographic factors related to the micro level: position, level of education, gender, presence of children. There was no statistically significant relationship between the types of managers of educational organizations (in the context of attitudes to change) and such organizational and professional characteristics as “type of education”, “length of service”, “length of service”, “qualification category”, and “Pedagogical title”, as well as socio-demographic factors (age, marital status) of education managers. Taking into account the identified patterns can contribute to the psychological support of the development of innovative management styles in education managers.
LawV: Towards an Ontology-Based Visual Modeling Language in the Legal Domain.

There has been an increase use of Domain-Specific Visual Modeling Language (DSVML) as a means of improving models’ comprehensibility and, consequently, stakeholders’ productivity. Combining the benefits of DSVMLs and of an ontological approach for designing and evaluating DSVMLs, we present, in this paper, the first-steps towards an ontology-based DSVML in the legal domain called LawV. The main purpose of LawV is to provide for a visual symbolic representation for legal statements. LawV has been built by applying an ontology-based language engineering method called PoNTO-S and UFO-L, a legal core ontology. To evaluate LawV, we instantiate a judicial case selected from the database of Appeal Court of the Esp irito Santo State in Brazil.
LibGuides: Digital Learning Guide: Edtech COVID-19 Resources

This guide was created as part of emergency planning in case we need to close school for weeks at a time
Static and Dynamic Side Channels in Software

Author(s): Brennan, Tegan | Advisor(s): Bultan, Tevfik | Abstract: We interact with computer systems daily if not hourly, trusting them with our sensitive data. Computer scientists build these systems and, as we do, we introduce often unintended sources of information leakage into our creations. Some of these appear benign, but in this increasingly connected world, information leaks have consequences. Side channels in software are a nuanced yet potentially devastating mechanism for information leakage. In this thesis, I address key concerns about side channel vulnerabilities in software: how they arise, how much information they leak, and whether their detection and mitigation can be automated. I develop techniques to detect, quantify and mitigate side-channel vulnerabilities. I draw on an array of program analysis and testing techniques, such as taint analysis, model-counting, CFG analysis, fuzzing, and quantitative information flow. Importantly, I consider that side channel vulnerabilities can arise both statically at the source-code level and dynamically at runtime. With this second observation, I pioneer research into a previously unknown type of software side-channel, JIT-induced timing channels. These side channels arise dynamically at runtime due to an imbalance in the input distribution of a program, transforming the problem of side-channel vulnerabilities in software into one that needs to consider the set of possible runtime states.
Motion Generation Based on Statistical Learning of Daily Life Object Shapes and Human Motions

This paper presents a method for generating robot motions for daily tasks by learning the relationship between daily life objects shapes and human motions. Robots are required to handle multifarious objects in various categories. However, it is difficult for robots to plan motions automatically for performing tasks because many objects, including objects in the same category, have different shapes. In the proposed method, object shapes are estimated from a statistical shape model and motions are generated by learning the relationship between object shapes and human motions via linear regression analysis. We applied the proposed method to a task of scooping beans with spoons. We evaluate the generated motions and experimental results of the tasks, which were performed by a robot, to verify the effectiveness of the proposed method.
PEMBEKALAN TEKNIK ALGORITMA DALAM KEAMANAN DATA ERA REVOLUSI INDUSTRI 4.0

Allah SWT created humans on earth as sosial beings to interact or communicate with each other (correspondence / collaboration). And along with the exponential development of information and communication technology, it has changed the mindset and attitude and the way of communicating in the virtual world of sosial networking pages via cyberspace. With the aim of gaining comfort, sharing ideas, calm, creative and innovative collaborations that are constructive in correspondence or user-generated content. In computer security, there are several important aspects of Confidentiality, so that the data on the device does not fall into unauthorized hands and which is not authorized. In general, the concept of cryptography is an information security or protection technique that is carried out by processing original information with a certain key using an encryption algorithm so as to produce new information that cannot be read directly. And to restore the integrity of the ciphertext, it can be returned to the original information through the description process. In principle, encryption is the process of randomizing or changing the initial message into other forms and structures so that the initial message cannot be recognized by other parties. Â  Keywords : human, sosial-media, cryptography, cyberspace, encryption / decryption
Sustainable Knowledge Economy Index

The global economy has evolved into the knowledge economy in which intellectual capital is the critical engine of economic growth. Knowledge economy mostly represents the consumption and production activities in the developed countries in which the developing and less-developed countries are striving to achieve. However, to strive for a knowledge economy alone will result to tradeoff with the agriculture sector. This descriptive quantitative study attempts to come up with a Sustainable Knowledge Economy Index (SKEI) in which the production outputs and intellectual capital of the developed countries are integrated. The Principal Components Analysis method was utilized to reduce 26 variables into fewer dimensions so that the developing and less-developed countries can easily infer from. Results show that of the two components extracted (institutions and skills for innovation) account for the 71% of the total variance in the SKEI. Among the developed countries, the United States of America ranks first, while the least performing developed country is France. Hence, a developing or less-developed country should strive to have at least a 2.50 (score for France) Sustainable Knowledge-Economy index for it to achieve long-term competitiveness.
EMERGENCY REMOTE TEACHING AND SUPERVISED INTERNSHIP IN UNDERGRADUATE TEACHER TRAINING COURSES IN THE PANDEMIC COVID 19 SCENARIO

This article addresses the supervised internship in undergraduate teacher training courses in the context of COVID-19 To this component of the courses' pedagogical projects are assigned a mandatory workload and the concept of professionalization The social functions of the teacher in initial training forge their future professional practice, which are carried out in the set of teaching, research and extension practices The mandatory curricular internship, in the emphasis of teaching, is configured in the exercise of teaching in Basic education Thus, reflections on its realization as remote teaching are proposed This is an article resulting from the reflections as teachers of undergraduate teacher training courses and the analysis of the proposal for curricular reorganization from 2002 until the current adoption of remote education in both Basic and Higher Education As a result, virtual ethnography is presented as one of the curricular compositions that preserve the supervised internship as a component of teaching
Application Of User Centred Design In Building Android-Based Counting App User Interface To Support Early Childhood Education In The Era Of New Normal

The new normal era is now needed a learning method that can help education in Indonesia so as not to be hampered, one of which is the education of early childhood. Education for early usis children with online based is still felt so difficult to apply especially learning counting, this is because children at an early age are not too familiar to use online learning, teachers are also difficult to provide mentoring. Online learning for early childhood can be developed by building an android-based app, by implementing user centred design methods. This method can be used to build a counting learning interface so that children are more interactive and easy to understand the methods of calculating and implementing them. These results can be concluded that this counting application can be one of the solutions in early childhood education in the new normal era that can help stimulate children's development.
Complex Verb Constructions in Old Dutch

Abstract This article presents a corpus study of complex verb constructions in Old Dutch. A systematic search of the Old Dutch Corpus uncovers a set of fifteen complex verb constructions which all stack two auxiliaries (one finite and one nonfinite) on top of a main verb. The oldest and most frequent complex verb construction in the corpus is a future passive construction combining finite sullan ‘shall’ with nonfinite werthan ‘be’ and a past participle. The article discusses all fifteen complex verb constructions in detail and sketches the wider linguistic context in which they are found.
Application of Machine Learning Methods in Arrival Time Picking of P Waves from Reservoir Earthquakes

Reservoir earthquake characteristics such as small magnitude and large quantity may result in low monitoring efficiency when using traditional methods. However, methods based on deep learning can discriminate the seismic phases of small earthquakes in a reservoir and ensure rapid processing of arrival time picking. The present study establishes a deep learning network model combining a convolutional neural network (CNN) and recurrent neural network (RNN). The neural network training uses the waveforms of 60 000 small earthquakes within a magnitude range of 0.8-1.2 recorded by 73 stations near the Dagangshan Reservoir in Sichuan Province as well as the data of the manually picked P-wave arrival time. The neural network automatically picks the P-wave arrival time, providing a strong constraint for small earthquake positioning. The model is shown to achieve an accuracy rate of 90.7% in picking P waves of microseisms in the reservoir area, with a recall rate reaching 92.6% and an error rate lower than 2%. The results indicate that the relevant network structure has high accuracy for picking the P-wave arrival times of small earthquakes, thus providing new technical measures for subsequent microseismic monitoring in the reservoir area.
Anisotropic Diffusion with Deep Learning

We propose a deep learning framework for anisotropic diffusion which is based on a complex algorithm for a single image. Our network can be applied not only to a single image but also to multiple images. Also by blurring the image, the noise in the image is reduced. But the important features of objects remain. To apply anisotropic diffusion to deep learning, we use total variation for our loss function. Also, total variation is used in image denoising pre-process.[1] With this loss, our network makes successful anisotropic diffusion images. In these images, the whole parts are blurred, but edge and important features remain. The effectiveness of the anisotropic diffusion image is shown with the classification task.
Development and Design of Hospital Labor Union Information Management System under the Background of Big Data

To improve the management level of trade union in large enterprises such as hospitals, this paper constructs a set of trade union information management system based on Web. Starting from the actual work requirements of existing trade union management, the overall process of system requirements analysis, system design and database design is described in detail. Then the system is analyzed and designed by UML modeling technology, and the functional structure diagram, IPO table and processing flow chart of the specific module design are provided. We adopt entity relation E-R diagram and SQL Server to design the table structure of the database. In the operation of information data, HDFS distributed file storage system is used to store data, and the spark distributed file computing engine is also used to analyze and process data. The test and analysis of the system show that the scheme has the advantages of high reliability, fast query speed and strong expansibility. It basically solves the shortcomings of the current system, such as weak expansibility, lack of data query and analysis speed.
CAD-technologies in archaeological reconstructions: scientific and educational experience of Vyatka State University

Abstract Russian regional scientific schools demonstrate examples of applied research at the frontier of sciences, including a combination of accurate / engineering and archaeological research. Vyatka State University has gained some experience in such cooperation. Sources for this work are the archaeological collections of the village. Lalsk, research methods and techniques - archaeological techniques and digital technology. Using digital processing of collections and other archaeological excavations as an example in the northern Vyatka borderlands, computer applications for theoretical analysis of archaeological artifacts and the application of its results are shown. The article presents the algorithms for using digital software. Certain technologies make it possible to reconstruct old household items from fragments, form collections of 3D models, and copy objects with a complex relief or artistic value to preserve the originals. It is indicative of compiling a relief and multidimensional copy of the excavation site, a databank of archaeological objects and some related information. The features of building a virtual archaeological museum and its use by different target groups of the region are outlined - by age and social affiliation. The traditional spheres of using the obtained results — science and education — have been significantly expanded at the expense of cultural, tourism, cadastral and urban planning institutions, and law enforcement agencies. The directions of development of museum and engineering pedagogy are outlined. Digital technologies in archeology allow them to be applied remotely, remotely to small and medium-sized businesses, and to increase the quality of life in the region.
Sistem Pakar Diagnosa Hama Pada Tanaman Cabai Menggunakan Metode Forward Chaining Di Dinas Pertanian Kota Pagar Alam

: This study aims to produce an expert system for diagnosing pests in chilies using the Forward Caining method. Chili is one of the basic needs of the community as a flavoring or flavor, but farmers often experience failure to harvest due to pest attacks on chili plants. The system development method used by Waterfall consists of four stages, namely Analysis, Design, Coding and Testing. Therefore, the researcher created an expert system for diagnosing pests in chilies using the Onlane Forward Chaining method. the benefits of this expert system for the city of Pagar Alam, especially for farmers, make it easy to find out the types of pests that attack and provide solutions to prevent pests from being planted in chilies like an expe
PENERAPAN MODEL PEMBELAJARAN LEARNING COMMUNITY BERBASIS MEDIA SOSIAL TERHADAP HASIL BELAJAR MATEMATIKA SISWA

The purpose of this study was to determine an effect of the application of the social media-based learning community learning model on the learning outcomes of class XII students of SMA Negeri 7 Bengkulu for the 2018/2019 academic year. The research method used is a pure experimental method with a research design form Posttest Only Control Design. The T-test results obtained by an average attitude assessment learning result are as follows: the value of spiritual attitudes between the experimental class and the control class assuming homogeneous data (Equal variances assumed) is obtained a sig. (2-tailed) value of 0.000 0.05, with tcount = 6.652 1.668 = ttable (0.05: 67). Assessment of social attitudes obtained a sig. (2-tailed) value of 0,000 0.05, with tcount = 3,742 1,668 = ttable (0.05: 67). Comparison of the average learning outcomes of the knowledge value with the assumption of homogeneous data, the sig. (2-tailed) value is 0.000 0.05, with tcount = 5.477 1.669 = ttable (0.05: 65). While the assessment of skills obtained a sig. (2-tailed) value of 0.002 0.05, with t = 2.469 1.668 = ttable (0.05: 67). Based on the results of data analysis, it was concluded "There is a significant difference in the application of the learning learning model. social media-based community on student learning outcomes in class XII at SMA Negeri 7 Bengkulu City.Keywords: Learning community, schoology, learning achievement
Reliable Data Transmission Using Biometric Authentication Methodology in IoT

Internet-of-things is popularly known as IoT. The technology is enabling different kinds of devices to communicate with each other, and aids in providing a common platform for the devices to communicate with each other. It reduces the required human effort. Devices using a wireless medium are usually more liable to compromise, hence these devices require security. Authentication is one of the oldest methodologies used to verify the identity of the communicating parties. Biometrics is a popular authenticating tool where fingerprint and retinal scans are used widely. The parameters used in biometrics are the unique characteristics of the individual, hence manipulation to the same can be detected early. This paper proposes the authentication methodology. It uses the biometric of the respective personnel to increase security to the data. It also uses a hashing mechanism to transmit the authenticated readings for evaluation. The system increases security by 3.09% and reliability by 6.63%.