Reviewerly/exHarmony huggingface dataset:
미래 그린 해수담수화 기술

The difficulty of securing freshwater sources is increasing with global climate change. On the other hand, seawater is less affected by climate change and regarded as a stable water source. For utilizing seawater as freshwater, seawater desalination technologies should be employed to reduce the concentration of salts. However, current desalination technologies might accelerate climate change and create problems for the ecosystem. The desalination technologies consume higher energy than conventional water treatment technologies, increase carbon footprint with high electricity use, and discharge high salinity of concentrate to the ocean. Thus, it is critical to developing green desalination technologies for sustainable desalination in the era of climate change. The energy consumption of desalination can be lowered by minimizing pump irreversibility, reducing feed salinity, and harvesting osmotic energy. Also, the carbon footprint can be reduced by employing renewable energy sources to the desalination system. Furthermore, the volume of concentrate discharge can be minimized by recovering valuable minerals from high-salinity concentrate. The future green seawater desalination can be achieved by the advancement of desalination technologies, the employment of renewable energy, and the utilization of concentrate.
A scalar conditional in Greek: looking for the consequent

This paper discusses a construction with a conditional interpretation in Greek which differs from “typical” conditionals in interesting ways. I refer to this construction as pu- conditional, since it is always introduced with the particle pu whose semantic contribution is to be analysed. Pu-conditionals only appear with subjunctive mood and they do not combine with a consequent as typical conditionals. Instead, the meaning of the consequent is implied and indicates that if the prejacent holds, a contextually supplied scalar property will hold to a higher degree.
Deep Latent Variable Models

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
There’s Always Room For One More - Azure Search

In RELX we’ve grown quite comfortable with the many flavors of Lucene-based search. We build products with Lucene, Solr, and Elasticsearch, as well as hosted variants like Amazon Web Services (AWS) Elasticsearch Service, AWS Cloudsearch, and Elastic Cloud. However, for products invested in the Microsoft stack, Azure Search teases a promise for Lucene compatibility with easy integration. Is it too good to be true? In this presentation we review the capabilities of Azure Search to see how well it stacks up against the established field and if there is a sweet spot for the product.
SISTEM INFORMASI BUNDA LAUNDRY & DRY CLEANING BERBASIS WEB

Laundry service is a business entity that offers services in terms of washing clothes, with special methods. Laundry services are not just a place to wash, but rather a place to care for clothes to make them cleaner and more durable, and the instant and practical factor is becoming a trend for today's society. The demand for this laundry business is increasing, especially for workers / employees to students who are busy every day. So that laundry services are an alternative to save time in doing work. Study analysis The design of the Laundry & Dry Cleaning Mother's information system aims to design and build a laundry service information system, to help provide information and simplify the service system. Sourced from the above problems, the author is encouraged to be able to overcome these difficulties by building a web-based laundry and dry cleaning information system that can manage customer data and services, as well as manage transactions to reports.
Operational Semantics with Hierarchical Abstract Syntax Graphs.

This is a motivating tutorial introduction to a semantic analysis of programming languages using a graphical language as the representation of terms, and graph rewriting as a representation of reduction rules. We show how the graphical language automatically incorporates desirable features, such as alpha-equivalence and how it can describe pure computation, imperative store, and control features in a uniform framework. The graph semantics combines some of the best features of structural operational semantics and abstract machines, while offering powerful new methods for reasoning about contextual equivalence. All technical details are available in an extended technical report by Muroya and the author and in Muroya's doctoral dissertation.
Correcting for Misclassified Binary Regressors Using Instrumental Variables

Estimators that exploit an instrumental variable to correct for misclassification in a binary regressor typically assume that the misclassification rates are invariant across all values of the instrument. We show that this assumption is invalid in routine empirical settings. We derive a new estimator that is consistent when misclassification rates vary across values of the instrumental variable. In cases where identification is weak, our moments can be combined with bounds to provide a confidence set for the parameter of interest.
Upaya peningkatkan minat dan hasil belajar vokal group dengan menerapkan metode permodelan pada siswa smp

The purpose of this research is to increase the interest in learning and the results of group vocal learning by using modeling methods in grade VIII B students of SMP  N 1 Moga Pemalang. This research is a Class Action Research conducted through two  cycles, each cycle consists of: planning, observation, action, and reflection. Data collection  is done through documentation, observation, the use of questionnaires, and tests of learning  results. Data analysis using quantitative descriptive and qualitative descriptive techniques.  The results of group vocal learning activities can be concluded that group vocal learning  with modeling methods has a positive impact in improving student learning outcomes  characterized by improved student learning completion. Of the completed cycle 1 only 41%  of students but in cycle 2 reached 89% of students. In addition, the application of modeling  methods has a positive influence, which can increase students' learning interest indicated  by the average student answers questionnaire results (questionnaires) that state that  students are interested and interested in practicing group vocals with modeling methods. So  the conclusion of this study is that modeling methods can positively affect the interest and  learning of vocal groups in students at SMPN 1 Moga Pemalang.
The Recognition of Tibetan Handwritten Numbers Based on Federated Learning

Numeral recognition is closely related to individual lives, involving postal codes and bank checks. In recent years, despite many researches focusing on handwritten recognition, there were few on the identification of Tibetan handwritten numerals; and related to privacy protection. This paper proposed a recognition system based on lightweight CNN and federated learning, aiming to reduce the total calculating resource consumption and secure sensitive information. Besides, pre-processed TibetanMNIST dataset were adopted as the training samples for case study. This cases eventually obtained nearly 96% accuracy, and the expected time required to process a single image was approximately 0.017ms. The proposed system can be used for the recognition of Tibetan handwritten numbers.
Chatbot for Technical Support, Analysis of Critical Success Factors Using Fuzzy Cognitive Maps

Remote assistance needs to be automated for better coverage in time, quality, and quantity of clients. The problem is that by increasing the number of clients with the same amount of attention personnel or none, the waiting time of clients increases, and the quality of attention decreases. The objective of this research is to perform an analysis of the general critical success factors by simulating fuzzy cognitive maps applied to a chatbot for technical support. The methodology applied is exploratory, qualitative, descriptive research and de-duction to analyze the references on chatbots, technical support, critical success factors and fuzzy cognitive maps. This research resulted in a Definition of general critical success factors for a technical support chatbot, a Simulation of critical factors in a fuzzy cognitive map, an Analysis of critical success factors, and a general architecture prototype for the technical support chatbot. It was concluded that among the main critical factors for a project are important elements the knowledge of experts, expertise, and human resources; the application and analysis of CSF through FCM helps in the improvement and optimization of the factors/tasks of the chatbot project for technical support.
LibGuides: General Information Management: Home

This guide is for the NCU specialization General Information Management. It contains resources available in the NCU Library.
The Effect of Using E-Learning Media on Students’ Learning Motivation

The decreased enthusiasm of students to study online is the background of this research. The purpose of this study was to determine the effect of using e-Learning media on the learning motivation of Medan State University students. This research was classified into quantitative research with a correlational approach. Unimed Catering students who have studied using e-learning are used as the research population. While the number of respondents for the research data was 96 people and the respondents for the trial data were 30 people. The number of respondents was obtained using the Slovin method. The sampling technique used was random sampling, in which the names of the samples were randomized at the time of distributing the questionnaires. The instrument used to collect the research data was a questionnaire which was arranged based on a Likert scale which had been tested for validity and reliability. The research data were then processed using SPSS 24. Based on the results of the study, the correlation value between the independent variable and the dependent variable was 0.525 which means that it has a correlation and regression coefficient x of 0.744. This value explains that with every 1% increase in the value of using e-Learning media, the value of student learning motivation will increase by 0.744. The influence between the independent variable and the dependent variable looks positive because the regression coefficient has a positive value. Furthermore, to test the hypothesis, a comparison of the t value is also carried out with the t table. The t value obtained is 4.931&gt; 1.68 so it can be concluded that Ho is rejected and Ha is accepted.
Convergence et optimalité de la zone ECO : une analyse par un modèle de mélange

Our study examines the progress made by ECOWAS member countries in creating a single currency. It therefore analyses what the last few years have taught us about the convergence and optimality of the ECOWAS zone based on a Mixture Model approach to classification. The variables used come from the theory of optimal currency zones and convergence criteria. Two periods were considered: 2000-2013 and 2014-2018. Our results show remarkable progress in the convergence of ECOWAS countries. The results for the 2014-2018 period show very little heterogeneity in the ECOWAS countries compared to the results of the previous period. Indeed, the number of classes resulting from this analysis is nine for the first period and two for the second period. The results therefore suggest that a monetary union is possible for ECOWAS countries except Liberia and Nigeria.
CORONAVIRUS DISEASE 2019 - COVID 19: EFFECTS ON EDUCATION WITH SPECIAL EMPHASIS ON BASIC EDUCATION SYSTEM IN KENYA

The evolution of COVID 19 and its effects to education is highly uncertain, making it hard for policy makers to formulate appropriate policy response world over. This article attempts to discuss the effect of Covid-19 on basic education. It is a theoretical desk-top review of literature. In order to understand the effects, the origin, symptoms, spread and the measures taken to prevent Covid-19 have been introduced. The findings show the effects felt so far to include; closure of school, educational Inequalities due to the digital divide, high cost/lack of computer and internet  to parents, anxiety and emotional distress, heightened cases of domestic violence, potential increase in school drops out, child marriage and teenage pregnancies, exposure of vulnerable children to sexual abusers and corona virus, inadequate food provision at home, gender based violence, effects to children with disabilities, economic effects and teachers and other staff salaries/ lay-offs. Positive effects of covid-19 have also been discussed. Suggestions on how schools can re-open include; putting in place the minimum WHO guidelines in all schools, stationing medical personnel in schools for routine monitoring and surveillance, classrooms to accommodate 20 students only, provision of flexible learning approaches for pregnant girls and young mothers, consideration teachers and workers above 55 years with the option to deliver instruction remotely and government to consider constructing Portable Modular Classrooms as they are the best option when schools need more space. This review is important to education theorists and practitioners, government and other stakeholders in the field of education. Keywords: Pandemics, Coronavirus, Covid-19, Disease, Basic Education, effects
The Effects of Abrupt Changing Data in CART Inference Models

The continuous input of data into an Information System makes it difficult to generate a reliable model when this stream changes unpredictably. This continuous and unexpected change of data, known as concept drift, is faced by different strategies depending on its type. Several contributions are focused on the adaptations of traditional Machine Learning techniques to solve these data streams problems. The decision tree is one of the most used Machine Learning techniques due to its high interpretability. This article aims to study the impact an abrupt concept change has on the accuracy of the original CART proposed by Breiman, and justify the necessity of detection and/or adaptation methodologies that update or rebuild the model when a concept drift occurs. To do that, some simulated experiences have been carried out to study several training and testing conditions in a changing data environment. According to the results, models that are rebuilt in the right moment after a concept drift occurs obtain high accuracy rates while those that are not rebuilt or are rebuilt after a change occurs, obtain considerably lower accuracies.
Analisis materi bahasa Indonesia berbasis pendidikan karakter dalam buku peserta didik kelas iv sd tema 3 "peduli terhadap makhluk hidup"

&lt;p class="Abstract"&gt;&lt;em&gt;This research aims to explain The Indonesian language learning material and character education-based language skills in the grade IV elementary school student book on the 2013 Curriculum theme "Peduli terhadap Makhluk Hidup". This type of research was qualitatively descriptive with the method of content analysis. The data in this research were 10 character values according to Permendikbud No. 20 of 2018, namely: tolerance, discipline, hard work, creative, independent, democratic, friendly/communicative, environmental care, social care, and responsibility. This research focused only on learning material Bahasa Indonesia in grade 4 elementary school students' book with the theme 3 revised edition 2017. The results of this research were known that there are 10 character values in Indonesian material in the student's book and contain all four language skills. The frequency with which character education values and language skills are presented is not evenly presented. The value of character education was dominated by the values of tolerance, creative, democratic, and friendly/communicative, while language skills are emphasized more on speaking and writing skills.&lt;/em&gt;&lt;/p&gt;&lt;p class="Abstract"&gt;&lt;em&gt;&lt;strong&gt;Keywords:&lt;/strong&gt; character education, Indonesian learning material, language skills, student’s book, elementary school.&lt;/em&gt;&lt;/p&gt;
THE INFLUENCE OF CORPORATE SOCIAL RESPONSIBILITY PRACTICES, CUSTOMER SATISFACTION AND CORPORATE IMAGE OF MOBILE SERVICE INDUSTRY

Corporate social responsibility (CSR) has grown significantly as the research area in various field ofdisciplines. Instead of pursuing CSR to fulfil corporate citizenship, CSR has now been used by companies toenhance and build their corporate image. This research examined the effect of CSR practices and customersatisfaction on corporate image; having mobile service providers in Klang Valley, Malaysia as the context. Thisstudy applied the quantitative approach with 226 valid responses. Pearsons product-moment correlation andmultiple regression analysis were employed to ascertain the relationship between the variables. The findings reportedall four dimensions of CSR influence corporate image of mobile service providers in Malaysia positively; however,only ethical responsibility shows a positive and moderate relationship with corporate image. On top of that,customer satisfaction was also found to have a positive influence towards the corporate image of mobile serviceproviders. Multiple regression analysis showed that only ethical and legal responsibility CSR practices werepredictors that contribute significantly to corporate image. The conclusion, implications, and suggestions for futurestudies were also discussed.
U-Learning – The design and evaluation of evocative learning-based method for futuristic ubiquitous training and development environment

Technology has come a long way from the analogue world to the digital age, where our communication in the virtual world leads us to the virtual life of future. Learning from everywhere can be taken as a pattern based on the use of the latest technology everywhere through the smart devices. Universal learning can also be explained by the fact that the learning environment is aided by embedded computers, wireless networks in our daily lives. The aim is to provide communication and content to readers anywhere, anytime and on any device. This technological change not only furthers the learning process but also completely changes the way learning and sharing information is done. Currently, there are other frameworks as well, but they focus on different paradigms (limited to mobile learning), and not the UL (Ubiquitous/Universal Learning) perspective, which is why it requires new innovations. Hence, the existing framework is focused on mobile learning environments and the study will raise the awareness of UL and will analyze the contribution of various factors that affect the level of UL acquisition. The outcome of this research project will lead to the development of a framework that, if applied to any learning setting, will lead to the successful delivery in the Universal Training and Development Environment.
Reshaping finance, accounting and corporate governance for business: A Survey of Blockchain and AI applications

Abstract Background / Context: For decades, the global economy has experienced an array of financial, accounting and corporate governance scandals which have shaken the confidence of investors and have led to a dramatic decline in shareholders’ wealth. Lately, blockchain and artificial intelligence (AI) have progressed extraordinarily with a profound impact on the economy. Nonetheless, how businesses can strategically use these technologies to create value for stakeholders remains puzzling in many respects.Objective / Problem: This study provides a systematic review of the literature related to the applications of blockchain and AI for finance, accounting, and corporate governance practices for businesses. We review the existing use cases, highlight their benefits and challenges and discuss a future research agenda.Design/Methodology/Approach: This study analyses 1400 journal articles and conference papers published between 2000 and 2020. We follow the PRISMA guideline to assemble and investigate the dataset with the support of Tagme, CiteSpace and Stata software.Results / Findings: We find a fast growth of studies that report the applications of blockchain in long-term financing and of AI in financial reporting while applications on short-term funding, capital investment, asset management, management accounting and corporate governance are rather fragmented.Originality / Value: This study is interesting because it offers a much needed synthetic review on the applications of blockchain and AI for the intertwined and converging accounting, finance and corporate governance domains.Practical Implications: This study has practical value for businesses to take the advantages of innovations in order to create value for stakeholders.
Human Pose Classification

This chapter covers various human pose estimation experiments. In the preceding chapter, you learned the basics of human pose estimation in the browser.
가상현실 기반 작업치료프로그램이 학령기 지적장애 아동의 신체기능 및 학습능력에 미치는 영향

Purpose : The purpose of this study was to investigate the effects of a virtual reality-based occupational therapy program on the physical function and learning ability of intellectually disabled school-aged children.Methods : In this study, 20 intellectually disabled children of school age were randomly and evenly divided into experimental and control groups with children in the experimental group receiving a virtual reality-based occupational therapy intervention. The study adopted a pretest-posttest design. The intervention was conducted for a total of 12 sessions for six weeks, twice a week, and 50 minutes per session. As measurement tools, BOT-2 and grooved pegboard tests were used to compare physical function before and after the intervention program, and K-ABC was used to check changes in learning ability.Results : The occupational therapy program produced a significant improvement in both physical function and learning ability of the experimental group. A significant difference was observed between the experimental and control groups.Conclusion : This study confirmed the value and usefulness of virtual reality-based occupational therapy as a tool for enhancing the physical function and learning ability of intellectually disabled school-aged children. Based on the results, a variety of future studies are encouraged that would further test the effects of the occupational therapy program used here.