Reviewerly/exHarmony huggingface dataset:
Institutional Quality and Economic Growth in Muslim Countries

This research analyzes the link between institutions and growth in a selection of Muslim nations to determine which elements have the most influence. The study spans 20 years, from 2002 to 2021, and employs a cross-country analysis to conclude that only three aspects of institutional quality (government effectiveness, political stability and lack of violence/terrorism, and voice and accountability) are strongly related to economic growth. The findings, obtained through a dynamic panel setting, reveal that most control variables exhibit significant effects consistent with expected outcomes. However, the investment coefficient, while positive, lacks statistical significance, suggesting that the impact of investment on economic growth in Muslim nations is not robust enough to be statistically validated. Moreover, the study delves into institutional quality's impact on economic performance and finds that three out of five variables significantly influence growth. Government effectiveness, political stability, and absence of violence/terrorism demonstrate substantial positive correlations, particularly at the 1% significance level. While still positively related to economic growth, regulatory quality and the rule of law only exhibit significance at the 10% level. To further understand the impact on economic development, this paper advises that future research explore numerous institutional quality criteria and segregate Muslim countries based on their political systems.
Implementation of Ice Breaking on PJOK Learning Motivation

This study aims to determine the implementation of ice breaking on student learning motivation. The research method used is Experiment. The population of grade 5 SDN 1 Wanayasa was 32 students, sampling was carried out using the Total Sampling technique, the research sample amounted to 32 students. The research instrument used a questionnaire (questionnaire). Hypothesis testing using paired Sample T test, which is to test the normality and homogeneity of the research data Because the significance value is less than 0.0020 &lt;0.05, it can be concluded that the research data is accepted. The results of the increase from the Pre-test and Post-test increased by 5.7%. So it can be concluded that ice breaking can increase student learning motivation. So that it can spur students to be more active in the learning process at school.
Control of autonomous UAV using an onboard LSTM neural network

Towards realising autonomous UAVs, this paper investigates one of the fundamental autonomous flying research problems, i.e., the ability of a vehicle to control its flying behaviour autonomously, without reliance on external infrastructure like Instrument Landing Systems or GPS. In this paper we experiment with a physical UAV prototype with embedded intelligent control capabilities, utilising a Long Short Term Memory (LSTM) neural network, in order to learn lift-off control sequences using self-training. The initial results are promising and show potential for embedding LSTMs in the control systems of autonomous UAVs.
Empowering Reality: A New Injury Prevention Education System to Promote the Empowerment of Child Caregivers

Although awareness about the importance of injury prevention has been increasing among Japanese people, preventable injuries remain the third leading cause of death in children aged 0–14 years, and prevention of these injuries is critically important in terms of childhood health. To identify dangerous situations for children and provide preventive measures to avoid such situations, this paper proposes an effective method, called “Empowering Reality (ER)”, that integrates knowledge graphs with object detection to enable lecturers to educate caregivers on preventing unintentional childhood injuries while communicating with caregivers using augmented reality technology. The proposed ER system consists of knowledge graphs for explaining dangerous situations, an online video capture part, and a situation recognition part. This paper describes the major advantages of knowledge graphs that consider not only the relationship between objects and injuries, but also dangerous layouts with the help of “inclusion” and “collocation” features. The feasibility and effectiveness of the system were evaluated through tests among caregivers, including 11 parents and six teachers from three nursery schools. This system allows lecturers to conduct in-situ suggestions about specific preventive measures adapted to the home or nursery school environment via online learning
The sympy Library

One of the abilities of Python, via its library sympy, is to handle symbolic computations, i.e., Python can comfortably work with symbols (we have seen some examples of this already in Chapter 1). Working symbolically allows one to treat the situation “abstractly” without assigning any value to the parameters. When it is needed, one can then assign specific objects to the parameters.
Volatile properties: <i>A Modest Proposal</i> revisited

Abstract In our 2018 film, A Modest Proposal, we proposed to financialize the assets of public museums, their collections, and buildings, and distribute the generated values for the benefit of the producers of those values: the artist community. Reality seems to have caught up with our proposal. In the wake of the pandemic, public museums started to sell NFTs of their master pieces. But this did not inspire any new form of mutualization. In this text, we question whether blockchain infrastructures can be considered a public good. The individualistic logics that pervade the crypto sphere consider human relations in transactional terms and the enforcement of property rights as the only valuable governance principle, defining property as the basis for representation in many of the Decentralized Autonomous Organizations (DAOs). The trust placed in automated processes might lead to ‘governance by algorithms’, making the ‘Leviathan’, the sovereign machine, a frightening possibility. Other blockchain infrastructures may offer more inclusive alternatives. Distributed Cooperative Organizations (DisCOs) acknowledge the need for the individual to sustain her/himself and yet also create a solidarity economy by the mutual distribution of collectively generated values among all contributors. We focus on the above questions on property, public goods and governance using our home in Brussels, which we have defined as an artwork and framing device. It is the ‘house as artwork’ that helps us evaluate how these concepts play out in an accelerating world in which blockchain and other technologies might equally generate emancipation or new enclosures.
Lists and Tuples

In Python, lists provide the first basic building blocks for working with and handling data. One can think of a computer program as a function which accepts some (crude) data or information and gives back the data we would like to obtain. The classic Python provides certain tools to collect and handle data, such as list, tuple, set and dictionary. Libraries such as numpy further provide capable tools to work with a large collection of data. In this chapter we will study list and tuple; how to collect data and how to access and process the elements in these collections. We will study set and dictionary in Chapter 5.
The numpy Library

In this chapter we will look at one of the most powerful and most used libraries of Python, that is, numpy, which is used working with data. The library numpy allows us to handle large lists of values; here a list is called an array. It provides a powerful way to do arithmetic on arrays.We can use arrays to handle large collections of inputs, and to handle matrices and thus linear algebra, one of the branches of mathematics that has become vital in all aspects of computer science.
Basics of Python

This first chapter gives an introduction to using Python “out of the box”, demonstrating how to use ready-made commands, performing basic arithmetic and building up computations. One of the reasons why Python has become the language of choice for many is its external libraries, which provide powerful tools that one can use to investigate and analyse problems in a multitude of areas. We will showcase some of them in this first chapter, such as working with symbols and the first instances of symbolic computations.
CONTEXTUAL TEACHING-LEARNING MODEL WITH TEAMS GAMES TOURNAMENT TECHNIQUE TO INCREASE MOTIVATION AND OUTCOMES OF IPS LEARNING FOR SIXTH-GRADE STUDENTS SD NEGERI 3 KLOPOSAWIT

The aims of this study: (1) to apply the Contextual Teaching Learning TGT technique to social studies learning, (2) to improve social studies learning outcomes for sixth-grade students at SD Negeri 3 Kloposawit, (3) to increase social studies learning motivation for sixth-grade students at SD Negeri 3 Kloposawit. The type of research is Classroom Action Research (CAR) by adopting the research model of Kemmis and Mc Taggart. The research subjects were 14 sixth-grade students at SD Negeri 3 Kloposawit consisting of 10 male and four female students. Data collection techniques using test and observation techniques. Analysis of research data using quantitative descriptive analysis techniques. The results of the data analysis prove that using Contextual Teaching Learning with the TGT technique can increase motivation to learn social studies material about natural events that occurred in Indonesia and neighboring countries for sixth-grade students at SD Negeri 3 Kloposawit. Data on student learning outcomes prior to treatment, cycle I, and cycle II showed a positive trend, from 5 students (35.71%) who had scores above the KKM to 9 students (64.29%) and 14 students (100%). While the data on the percentage of students' learning motivation in the pre-cycle, cycle I, and cycle II were 21.43%, 57.14%, and 92.86%, respectively.&#x0D; Keywords: Contextual Teaching Learning, IPS Learning, Learning Outcomes, Learning Motivation
STUDENTS’ PERCEPTION TOWARDS UNTILIZING SHOW AND TELL IN IN LEARNING SPEAKING

This study was aimed to find out the students’ problems and perception towards utilizing show and tell in speaking activity. This study was analyzed qualitatively to collect the data and answer the research questions that guided this research. This research was conducted for second grade students who were previously in first grade even semester who had studied English using show and tell method in one of vocational high school in Cimahi. The instruments of this study were obtained by giving the questionnaire and interviews to students. The data was obtained through google form and interview transcripts. Based on the questionnaire and interview, it was discovered that some problems exist. They often stammer when speaking or explaining using English, feeling passive in English learning activities, and lack of understanding of English vocabulary. However, the students’ perceptions were positive. It could be seen from the data of students’ perceptions on questionnaire and interview session. From the research, a conclusion can be made, that utilizing show and tell method has generated positive perceptions in the speaking activity for second grade in one of vocational high schools in Cimahi.
STUDENTS’ REFLECTION ON MIND MAPPING: A STRATEGY FOR TEACHING READING COMPREHENSION

Reading skill needs to be possessed by students. The students should know exactly what they are reading and find the meaning of the text. One of strategies for teaching reading is Mind Mapping technique. This technique of teaching reading is popularly known by the teachers. However, the students’ reflection regarding Mind Mapping is rarely explored. This study discusses what students’ reflection on the use of Mind Mapping in reading comprehension of recount texts. The aim of this study is to find out students' reflection on reading comprehension using Mind Mapping which was applied in English class. This study used case study research involving five students from a vocational high school as participants. Data were obtained from learning logs and semi-structured interviews. The results of research revealed that mind mapping provided many benefits for students. They can answer the reading comprehension questions, understand the content of the story, enhance vocabulary, interesting methods, and enable them to get detailed information. Students agreed that mind mapping should be applied in the learning process in the future, especially in reading class.
Digital Brecht: Studies on Digital Game Mechanics and Brechtian Theatre

In this paper, I deal with the intermedial performance called the ludic theatre, whose term I coined in order to designate a specific digital performance for on-line spectators(audience). The ludic theatre features the characteristics of digital games and the Brechtian theatre, forming a hybrid version of the game theatre. From the beginning of the history of the theatre, technological developments have changed the shape of the theatre. Especially, in the historical time of digital turn, we, theatre people, are situated between welcoming and denial of digitalization of the theatre. As a conceiver and a director of the Bechtian digital game theatre, I argue that we do not face barriers against the developments of the theatre, but having a great opportunity to enrich the theatrical storytelling by means of learning from new digital media. I draw my attention to the growth of the digital game industry and game studies. Meanwhile, our global pandermic environments also let us consider the possibility of the on-line theatre. Upon these artistic and social circumstances, I have searched for a new form of theatre called ‘the ludic theatre.’Also, in this paper, against more theoretical backgrounds, from the perspectives of performance studies, I illuminate how we, theatre people, can learn from the advanced immersive technology and make more appealing affects and effects in theatrical storytelling. Upon developing the intermedial genre, I investigated the ways in which the spectators could have more intimate and participatory experiences. For more engaged spectators, as a designer of the seed game model, < Cho Hyun Sil Game >, I learned from game studies and digital literacy. I wrestled with the game mechanics and the design fundamentals, having found the basic techniques and methods to weave a new kind of ludic storytelling. Through the sampling model of the ludic theatre, ≪The Bosoms of Choi Hyun Sil≫, which I conceived and directed for ‘2020 The Festival of Cultural Diversity,’ I examine how this kind of hybrid intermedial genre, as a metasimulation, empowers on-line spectators(audience), opening up a social space for discussing our social/cultural issues and conundrums regarding social discrimination and oppression
The matplotlib Library and Projects

In this chapter we will look more closely at the Python graphics library matplotlib, which is widely used for plotting data and creating professional and magnificent two-dimensional graphics. This library works perfectly with numpy.With numpy we handle the data and with matplotlib we visualise them.
Exploratory Analysis of Literature on the Impact of Globalization on Finance

This exploratory analysis delves into the extensive body of literature examining the intricate relationship between globalization and finance in the contemporary era. As global economic forces continue to reshape financial landscapes worldwide, this study synthesizes insights from diverse disciplines, including economics, finance, sociology, and political science. The analysis uncovers the transformative power of globalization on financial structures, institutions, and market behaviors, revealing a nuanced interplay that extends beyond economic transactions. The literature review explores key themes such as the new dynamics of financial globalization, its effects on developing countries, and the role of technology, market structure, and policy responses. Additionally, it addresses the social and political consequences, emphasizing the need for a comprehensive understanding to inform regulatory frameworks and international cooperation. The method section details a systematic bibliometric analysis of Human Resource Management research in the context of globalization, providing key metrics, trends, and research opportunities. The results and discussion section identifies research trends, key articles, and potential terms for future exploration. Drawing implications from the analysis, the study advocates for adaptive strategies and a forward-thinking perspective to navigate the complexities of the interconnected global financial landscape.
The Effect of Security Levels, Resource Requirements, and Scalability on User Acceptance of Cloud Computing Systems in Technology Companies in Indonesia

This research investigates the impact of security levels, resource requirements, and scalability on user acceptance of cloud computing systems in technology companies in Indonesia. Employing a quantitative approach, the study involves a sample of 250 respondents from diverse companies. The research employs Structural Equation Modeling with Partial Least Squares (SEM-PLS) for data analysis. Descriptive statistics, measurement model assessment, discriminant validity analysis, and structural model assessment are conducted to explore relationships between variables. Results reveal significant positive relationships between security levels, resource requirements, scalability, and user acceptance. The study provides insights into the critical factors influencing cloud computing adoption in Indonesia's dynamic technological landscape.
Building Integrated Photovoltaic (BIPV): Implementing Artificial Intelligent (AI) on Designing Rooftile Photovoltaic

The monocrystalline photovoltaic (PV) is integrating into the natural clay used to fabric the terracotta rooftile. The enlargement of the rooftile's dimension increased the power output of the PVs. This paper describes briefly the technology of building integrated photovoltaic (BIPV) development and integration to buildings and houses, especially by using artificial intelligent (AI) while composing and designing the terracotta rooftile PV. The examination of property’s parameter namely dimensions of the terracotta rooftile PVs on top of the house, the voltage, current, power, and efficiency of the PVs themselves were also considered. As the examination run, we also compare the results to the convenient mounted rooftop PV. The results showed that the output power of the PV reached its maximum power as the dimension of the terracotta rooftile PVs enlarge to fully cover the roof.
Film identification method based on improved deeplabv3+ for full-film double-ditch corn seedbed

This study aimed to investigate the task demand of intelligent unmanned fertilizer application in seedling stage of corn planted in full-film double-ditch seedbed, a film identification method based on improved DeepLabv3+ identification method for full-film double-ditch corn seedbed was proposed. The differences in performance indicators of the original Deeplabv3+ network taking Xception as the backbone network and the network model that replaced three lightweight backbone networks, MobileNetV2, MobileNetV3 and GhostNet were tested. At the same time, the network models, classical semantic segmentation was introduced to PSPNet and UNet for comparative test. The MIoU of DeepLabv3+ network model that replaced its backbone network increased by 5.01%, and FPS improved by 206% compared with original network, and the model size reduced by 90.3%. The three DeepLabv3+ models after replacing the backbone network were further compressed, and the two-layer expansion convolution with low expansion rate in ASPP was deleted, and the common convolution after feature fusion was replaced by the depthwise separable convolution to obtain a lightweight network model. After testing the improved network model, it was found that the average decline of precision indicators was only 0.17%, FPS raised to 66.5, with an average increase of 25.5%, and the size of the model was compressed to 10.53MB. Test results showed that, the improved model showed excellent performance, and could provide important technology and method support for the research and development of intelligent topdressing and field management on full-film double-ditch corn seedbed during seedling stage. Keywords: fertilizer application, intelligent unmanned machine, full-film double-ditch corn seedbed, film identification method, deep learning, semantic segmentation, DeepLabv3+ DOI: 10.25165/j.ijabe.20231605.8288 Citation: Dai F, Li X Z, Shi R J, Zhang F W, Zhao W Y, Guo W J. Film identification method based on improved DeepLabV3+ for full-film double-ditch corn seedbed. Int J Agric & Biol Eng, 2023; 16(5): 165–172.
THE DIGITAL ECONOMY PART OF THE INTERNATIONALIZATION OF THE LABOR MARKET. THE CASE OF ALBANIA

This study aims to analyze the impact of the digital economy on strengthening the labor market and its growth in Albania. In this analysis, we focus on the growth of the Information and Communication Technology (ICT) sector as a result of technological advancements and innovation in the country. Using official data from Albanian state sources, we identify the changes and challenges of the labor market in this context of digital transformation. Also, we research the policies and strategies undertaken by state institutions to improve the adaptation of the workforce to the demands of the digital economy sector. Through our analysis, we assess the role of training and skills development as well as their impact on increasing employment and innovation in Albania. Based on the results of the study, we conclude with concrete recommendations to improve existing strategies and policies in accordance with the needs of the digital economy sector and the workforce in Albania. In conclusion, we examine the future opportunities for the growth of the digital economy and the labor market in the country. The intercommunalization of digitalization is a trend for global economic development, a necessary part of the high-quality development of any business. The internationalization of digitization suggests that the principles of sustainability and digitization can and should be combined with each other to ensure business longevity. Artificial intelligence, quantum computing, brain-computer interface, digital transformation of enterprises, digital technology and digitization are gaining ground in global economic development.
Research on the Advancement of Readability Formula for Japanese Texts : Addition of Factors for former JLPT Vocabulary and Grammar Past Questions

In this paper, we used the text of the former JLPT's reading comprehension questions as a sample and added a data survey on the new JLPT's vocabulary and grammar questions. Through this, I verified various factors that are thought to affect the difficulty of the text and calculated a readability formula with more meaningful independent variables than the existing readability formula. Specifically, a database of reading comprehension texts from the past 20 years of the former JLPT and vocabulary and grammar exam questions from the new JLPT from the past 10 years was constructed to conduct basic analysis. I then performed Pierce correlation analysis and multiple linear regression analysis on the readability model, which allowed us to select meaningful independent variables and calculate the readability formula by assigning weights to each variable. Lastly, the significance of the readability formula was confirmed through verification of the ‘Variance expansion factor; VIF’ for the readability formula.