Reviewerly/exHarmony huggingface dataset:
A NARRATIVE APPROACH: STORIES WITHIN SUCCESSFUL READERS

Reading is an effective medium to attain knowledge and might lead to empowering self-enrichment. Reading also widens one's horizon on a particular issue. However, even with the advantages of reading, Malaysian citizens' average books read per year is still not on the satisfactory level. Several factors contribute to an individual becoming a successful reader. Stories of successful readers are thoroughly discussed, aimed at gaining insight from their experience. This study also intends to help teachers motivate their students to read and build their reading habits.  This paper begins by discussing the benefits of reading habits, reading habits among Malaysian, procedures used to extract the information from the respondents, and the in-depth story of the successful readers in IIUM. Using the narrative inquiry as to the means of data collection, we described the experiences of ESL learners and native speakers of English, in the hope of gaining insight. From this research, it is found that some of the factors that contribute to being successful readers are the parents’ involvement, siblings’ motivation, and home environment.
Preparación docente como eje conductor de las actividades académicas universitarias en tiempo de pandemia

Introduction: The COVID-19 pandemic caused profound changes in different activities of daily life. One of the areas that faced the greatest challenges was education in general, and within it higher education. Faced with this situation, university teachers had to face an intensive preparation process to face the challenge of virtual education and continue with the educational training process. Objective: To determine the opinion of university students and teachers in relation to the importance of teacher preparation as the central axis of academic activities in times of pandemic. Methodology : Basic, descriptive and explanatory research that included 57 university professors and 232 university students belonging to the medical career of the Faculty of Public Health of the Higher Polytechnic School of Chimborazo. Result : 80.70% of the teachers had no previous training and 66.67% had no previous experience in the use of virtual environments. 84.34% of students believe that teacher preparation influences the quality of virtual teaching activities and 55.12% of students considered that there is a need to improve their mastery of virtual environments. Conclusions: The course offered by the Higher Polytechnic School of Chimborazo led to the improvement of the level of preparation of teachers around the management of virtual environments necessary to offer a quality education.
Meningkatkan Aktivitas dan Prestasi Belajar Lingkaran Siswa Melalui Penerapan Teori Belajar Bruner

This study aims to improve student learning activities and achievement by applying Bruner's learning theory to the circle material. This type of research is classroom action research which is carried out in two cycles. Each cycle consists of stages of planning, implementing actions, observing, evaluating, and reflecting. The subjects of this study were students of class VIII-3 semester II of SMP Negeri 1 Batukliang, totaling 22 people. Based on the results of the evaluation of cycle I and cycle II, the average score of student learning activities was 4.4; 4.45; which has the category of activity, and very active. The average ability of teachers to manage to learn for each meeting is 4.08 in categories; 4.17; 4.64; and 4.75 in the very high category. While the average score of student evaluation results, in the first and second cycles, were 69.55 and 91.14, respectively. In addition, the calculation of the N-Gain of student learning is categorized as high with an n-gain value of 0.71. In addition, individual and classical completeness has been achieved. Thus, the application of Bruner's learning theory can increase student activity and achievement in class VIII-3 semester II of SMP Negeri 1 Batuliang on the circle material
A NATURAL LANGUAGE UNDERSTANDING KNOWLEDGE-BASED CHATBOT OVER LINKED WEB DATA

With the abrupt development of the web today, the information in web pages is structured and tagged to ensure that it can be read directly by computers, which is available publicly in the type of knowledge bases(KBs). Ensuring this information is machine-readable, easily reachable, and valuable for a customer is one of the goals of the chatbot over linked web data in real-time. Developing a knowledge-based chatbot over linked data leads to many challenges, including user question understanding, multilingual recognition, and supporting multiple knowledge bases. To deal with these challenges, we propose a solution; 1st we design and develop interactive user interface system architecture, 2nd, we plan a machine learning(ML) method for natural language understanding(NLU) to be familiar with user queries via text/voice message methods, then take out the necessary keywords. Information for those keywords is obtained by making queries to the linked website's knowledge base to get desired information using the web scraping technique. For the experiment, we use generic medicine data as a domain, and it's added to the frequently asked queries dataset in the system knowledge base, so the existing system knowledge base gets extended automatically by the chatbot intelligent features, such as addressing the user’s queries, feedback messages, and the system failed responses. This system can be widespread with the new domains for an extensive range of topics
Recent Developments In Blockchain

The purpose of this paper is to provide an overview in the recent developments of Blockchain in various fields. In this paper, the storage structure of Blockchain is considered and how it differs from a database is discussed. Decentralization, transparency, Blockchain security, the relation of Bitcoin and Banks with Blockchain are all to consider. Uses of Blockchain, the advantages and disadvantages of Blockchain etc. discussed further. While the developments are reaching its peak each day, it is an important point which gives us the prediction that the Blockchain is going to give a future of higher achievements.
Visual Analytics: A Method to Explore Natural Histories of Oral Epithelial Dysplasia

Risk assessment and follow-up of oral potentially malignant disorders in patients with mild or moderate oral epithelial dysplasia is an ongoing challenge for improved oral cancer prevention. Part of the challenge is a lack of understanding of how observable features of such dysplasia, gathered as data by clinicians during follow-up, relate to underlying biological processes driving progression. Current research is at an exploratory phase where the precise questions to ask are not known. While traditional statistical and the newer machine learning and artificial intelligence methods are effective in well-defined problem spaces with large datasets, these are not the circumstances we face currently. We argue that the field is in need of exploratory methods that can better integrate clinical and scientific knowledge into analysis to iteratively generate viable hypotheses. In this perspective, we propose that visual analytics presents a set of methods well-suited to these needs. We illustrate how visual analytics excels at generating viable research hypotheses by describing our experiences using visual analytics to explore temporal shifts in the clinical presentation of epithelial dysplasia. Visual analytics complements existing methods and fulfills a critical and at-present neglected need in the formative stages of inquiry we are facing.
Transformasi Geometri Rotasi Citra Digital Untuk Mendapatkan Kompresi Optimal Menggunakan Metode Lossless Dan Lossy

Data has a fairly important meaning, because it contains the information needed. Besides being important, the process of data exchange and storage certainly requires space and requires high costs. For this reason, data compression is an interesting topic for continuous research. The success of previous research in obtaining optimal compression, it will be more interesting, if tested on the Lossless and Lossy Compression Methods, which of the two methods results in more optimal compression. The amount of the compression ratio without the image rotation process. For regular images obtained Huffman Compression Ratio 48.7076% and Wavelet Compression 47.3888%. If we compare the compression ratio by comparing the initial file size without playback compared with the final file size after 90 degrees of playback, the ratio is 61.03%. Meanwhile, for irregular images, a ratio of 49.79% was obtained at 180 degrees of image rotation. The results of compression, both without and with rotation, Wavelet Compression is more optimal than Huffman Compression. Keywords: Digital Image, Test Image, Lossless, Lossy, Huffmann Algorithm, Haar Wavelet
Study Distribusi Daya Hidraulik pada Attachment Excavator KOMATSU PC 200(Studi Kasus: PT.ANEKA DARMA PERSADA)

The operation of an excavator requires a variety of operations from attachments. Excavator attachment operations require hidraulik power. An excavator attachment consists of a bucket, arm, boom, swing motor, and travel motor. Basically the hydraulic system is a system of transfer and control of force and movement with liquid fluid. Pressurized oil from the pump is distributed to various attachments. This study aims to determine the hydraulic power distribution on the excavator attachment To find out the power that occurs requires a large flow rate and pressure on the attachment. Power in units of kW, flow rate in units of l / minute, and pressure in units of N / m2. The amount of power that occurs later is compared to the available power. The power that works on the excavator attachment consists of power from the pump hydraulic of 277.76 kW. The hydraulic pump power is then distributed to the attachment which includes hydraulic swing motor power of 35.52 kW, Travel Motor power of 32.24 kW, Cylinder Boom power of 45.962 kW, Cylinder Arm power of 26.6 kW, and Cylinder bucket power of 22,878 kW. The power used in the attachment is 152.282 kW or about 58.7% of the pump's hydraulic power.Keywords: excavators, hydraulic power, attachments.
TECHNOLOGICAL COMPETENCE OF HIGHER EDUCATION STUDENTS AS A PROBLEM OF PEDAGOGICAL SCIENCE AND PRACTICE

The article on the basis of competence and technological scientific approaches considers the understanding of technological competence of higher education students in the domestic pedagogical science and practice. Attention is focused on the idea of comparing pedagogical processes with production ones in the works of Ya.A. Comenius, A. Makarenko, famous Ukrainian (A. Aleksyuk, V. Bondar, I. Zyazyuna, V. Loza, I. Pidlasy, etc.) and foreign (B. Bloom, M. Woolman, M. Clark, P. Mitchell , R. Thomas and others). The main provisions of the competence scientific approach (O. Guzman, G. Selevko, O. Savchenko, V. Serikov, I. Khutorsky, etc.) are emphasized, which emphasize the technological component of professional competence of specialists of different qualifications.&#x0D; In the content of technological competence of higher education students there are two blocks (block of knowledge - methodological-theoretical, information-content, methodical, technological, creative; block of techniques - a set of different methods and techniques of human interaction with equipment, machines and other tools that determine the ability to design and design new technologies, the development of creative abilities of the specialist).&#x0D; A distinction is made between the concepts of "pedagogical technology" (contains operational and operational and procedural components of teacher or teacher competence) and "production technology" (is a system of creative and technological knowledge, abilities and stereotypes of instrumentalized activities to create or transform objects of reality into selected professional field).&#x0D; The experience of defining the concept of "technological competence of a specialist" in the main meanings is systematized: 1) communication technology, interaction technology, technology of organization of individual activity; 2) traditional learning technology, which means the use of methods, tools and forms; 3) the focus of the specialist on achieving the planned result (set and sequence of methods and processes for the implementation of the project product or work). In the context of this, the understanding of technological competence of higher education seekers as an integrated personality trait containing knowledge, technological skills, creative and technological abilities, technological reflection on the leading processes of professional activity and creativity is chosen.
Correction: A parsimonious approach for large-scale tracer test interpretation

A Correction to this paper has been published: https://doi.org/10.1007/s10040-021-02380-6
『동무유고(東武遺稿)』「진정(陳情)」에 대한 기초적 연구를 통한 난해어구의 교감 - “양추지어렵빈박□항(洋醜之漁獵頻泊□港), 아인지경목항거연치(峩人之耕牧恒據沿䐉)”를 중심으로 -

Objectives : First, the time of publication of the writing Jinjeong(陳情), was identified with consideration of current affairs at the time in Hamgyeongdo. Second, the relevance between agricultural policies and military/defense policies were identified. Third, based on these findings, the phrase “洋醜之漁獵頻泊氵义 港, 峩人之耕牧恒據沿䐉” was throughly examined within its historical context.Methods : First, the time of publication of the writing Jinjeong(陳情), was identified with consideration of current affairs at the time in Hamgyeongdo. Second, the relevance between agricultural policies and military/defense policies were identified. Third, based on these findings, the phrase “洋醜之漁獵頻泊氵义 港, 峩人之耕牧恒據沿䐉” was throughly examined within its historical context.Results & Conclusions : 1. The Jinjeong(陳情) of the Dongmuyugo(東武遺稿) is a writing on crossing borders into the Maritime Province of Siberia, which was written between the end of September and December of 1870. 2. The phrase “洋醜之漁獵頻泊汊港” is related to the incident when a handover line was at anchor in the Unggi harbor three times in 1869. 3. “我人之耕牧恒據沿海” refers to the rumor spread in 1870 about Russia being an ideal country that practiced ideal politics, to the extent of cattle and horse being gifted to immigrants into the country.
The Short-Run and Long-Run Effects of Trade Openness on Financial Development: Some Panel Evidence for Europe

This paper analyses the short- and long-run effects of trade openness on financial development in a panel including data on 35 European countries over the period 2001-2019. For this purpose, it uses the PMG (pooled mean group) estimator for dynamic panels developed by Pesaran et al. (1999). The results differ depending on the income, governance and financial development level of the countries considered. In particular, it appears that in the middle-income countries trade openness tends to strengthen financial development in the long run but to have an adverse effect in the short run. By contrast, in the case of high-income countries with better institutions and a higher level of financial development, there is a positive and significant impact in the short run. Some policy implications of these findings are drawn.
A STUDY ON CONSUMER AWARENESS TOWARDS SOLAR WATER HEATER WITH SPECIAL REFERENCE TO COIMBATORE CITY

Solar energy, radiant light and heat from the sun, is harnessed using a range of ever-evolving technologies such as solar heating, solar photovoltaic, solar thermal electricity, solar architecture and artificial photosynthesis. A great amount of energy can be harnessed from the sun. The amount of energy reaching the Earth Surface every day from the Sun is far greater than the energy that of man needs for the foreseeable future. This paper describes about consumer awareness towards solar water heater with special reference to Coimbatore city. The data has been collected by survey through questionnaire with 72 respondents. The primary data and secondary data are used for the study, the primary data is collected using questionnaires and secondary data is collected from articles, books and websites. Convenient sampling technique is used and the tools used for the analysis are Simple Percentage and Likert-scale analysis. This study concluded that the most of consumers are aware of solar water heater.
LibGuides: Research Basics: Contact Us

This guide illustrates the basic steps of the research process. Follow these steps to search for library resources related to your topic.
Sistem Informasi Pendataan Produksi Bibit Pohon di Persemaian Permanen Balai Pengelolaan Daerah Aliran Sungai dan Hutan Lindung (BPDASHL) Solo Berbasis Dekstop

Permanent Nursery Center for Watershed and Forest Management (BPDASHL) Solo is an agency that produces tree seedlings under the auspices of the Ministry of Environment and Forestry through the activities of the Solo Directorate General for Watershed and Protected Forest Management Agency (BPDASHL). However, seed data management which is carried out in the Permanent Nursery is still done manually by hand. To assist the data collection process, research was carried out to develop a seed data management system with a technology-based system. In developing this system using the JAVA programming language, MySQL with the NetBeans IDE text-editor and using the SWING Framework. The method used in this research is the Waterfall method. This system can facilitate data collection of incoming seedlings, outgoing seeds, and technology-based transaction reports by testing using the Black-Box method, so as to produce a system that runs as expected and its function.
Digital literacy in the open education of Ukraine and the EU during COVID-19

During the COVID-19 pandemic, new opportunities and forms of teaching, learning, communication and research opened up for millions of students, teachers and researchers. It is clear that the impact of COVID-19 on the education system has beenenormous.The article analyzes the problems of the crisis in the educational sphere during the COVID-19 pandemic, ways out of it and forms of support by governments of differentcountries and international organizations. The survey found that in an UIA global survey on the impact of COVID-19 on higher education worldwide, almost two-thirds of respondents who answered questions about their chosen form of education said that teaching was conducted remotely. This result is consistent with U-Multirank data,which show that almost 60% of universities worldwide reported online learningconditions in their strategic planning before COVID-19. The pandemic and the announced quarantine have made adjustments in the training of research and educational staff in almost all adult educational institutions around the world. Thetransition to online education using cloud services and modern Internet technologies has led to certain challenges in the system of professional development of research andeducational staff. The article analyzes the approaches to online training in adult educational institutions in Ukraine. The results of the research have several significantimplications for the science and practice of online education and its prospects for the system of professional development of research and educational staff. During COVID-19, prospects for online training of research and educational staff were offered. The main recommendations are: the organization of training courses on online learning methods for research and teaching staff in the digital environment of the educationalinstitution.
Deep Learning Based Human Presence Detection

Human detection and tracking have been progressively demanded in various industries. The concern over human safety has inhibited the deployment of advanced and collaborative robotics, mainly attributed to the dimensionality limitation of present safety sensing. This study entails developing a deep learning-based human presence detector for deployment in smart factory environments to overcome dimensionality limitations. The objective is to develop a suitable human presence detector based on state-of-the-art YOLO variation to achieve real-time detection with high inference accuracy for feasible deployment at TT Vision Holdings Berhad. It will cover the fundamentals of modern deep learning based object detectors and the methods to accomplish the human presence detection task. The YOLO family of object detectors have truly revolutionized the Computer Vision and object detection industry and have continuously evolved since its development. At present, the most recent variation of YOLO includes YOLOv4 and YOLOv4 - Tiny. These models are acquired and pre-evaluated on the public CrowdHuman benchmark dataset. These algorithms mentioned are pre-trained on the CrowdHuman models and benchmarked at the preliminary stage. YOLOv4 and YOLOv4 – Tiny are trained on the CrowdHuman dataset for 4000 iterations and achieved a mean Average Precision of 78.21% at 25FPS and 55.59% 80FPS, respectively. The models are further fine-tuned on a Custom CCTV dataset and achieved significant precision improvements up to 88.08% at 25 FPS and 77.70% at 80FPS, respectively. The final evaluation justified YOLOv4 as the most feasible model for deployment.
Modified Grey Wolf Optimizer with Parasitism Phase

Grey Wolf Optimizer (GWO) is a popular and effective nature-inspired, swarm intelligence based metaheuristic optimization algorithm which imitates the hunting process of a wolf pack in the nature. It has been widely used to solve both theoretical and real life engineering optimization problems. Even though metaheuristics have many advantages such like requiring no derivative information of the problem at hand, simplicity, and flexibility, they also have some drawbacks like trapping local optima, and premature convergence. They should have a proper balance between diversification (exploration) and intensification (exploitation). In this study, inclusion of a simple operator, namely parasitism, is proposed to improve the performance of GWO by means of exploration. Parasitism is a phase within Symbiotic Organisms Search (SOS) algorithm. The performances of 2 modified versions are compared with the original GWO, using 13 test beds. Results indicate that inclusion of parasitism phase into the original version has produced better results on the parameters of the algorithm.
A Study on Human Centric Agile Methodologies with Big Data & Predictive Analytics in Software Development

This paper proposes an agile model-based systems engineering (SE) methodology to engineer the contemporary large, complex, and interdisciplinary systems of systems. This paper introduces the reader the background of Big Data Analytics and how efficiently Agile methodology can be applied to achieve the business goal. The journal focus on giving background of Big Data and how using Agile practices such as iterative, incremental, and evolutionary style of development can be applied for Big Data Analytics. This methodology brings in the advantage of involving business community during development and continuous delivery of working user features. The Agile uses a universal and intuitive SE base process, reducing the complexity and intricacy of the base methods, emphasizing the agile principles such as continuous communication, feedback and stakeholders’ involvement, short iterations, and rapid response, and rousing the utilization of a coherent system model developed through the benchmark systems graphical modeling languages. The Agile methodology also includes a supporting graphical tool that aims to be an agile instrument to be used by systems engineers in a model-based development environment.