Reviewerly/exHarmony huggingface dataset:
A Study on the Korean Interest Rate Spread Prediction Model Using the US Interest Rate Spread : SVR-Ensemble (RNN, LSTM, GRU) Model based

Interest rate spreads indicate the conditions of the economy and serve as an indicator of the recession. The purpose of this study is to predict Korea's interest rate spreads using US data with long-term continuity. To this end, 27 US economic data were used, and the entire data was reduced to 5 dimensions through principal component analysis to build a dataset necessary for prediction. In the prediction model of this study, three RNN models (BasicRNN, LSTM, and GRU) predict the US interest rate spread and use the predicted results in the SVR ensemble model to predict the Korean interest rate spread. The SVR ensemble model predicted Korea's interest rate spread as RMSE 0.0658, which showed more accurate predictive power than the general ensemble model predicted as RMSE 0.0905, and showed excellent performance in terms of tendency to respond to fluctuations. In addition, improved prediction performance was confirmed through period division according to policy changes. This study presented a new way to predict interest rates and yielded better results. We predict that if you use refined data that represents the global economic situation through follow-up studies, you will be able to show higher interest rate predictions and predict economic conditions in Korea as well as other countries.
Research Help: Tech Lending Library: Technology & Equipment

The Library's Tech Lending Library is available to Fitchburg State University faculty, staff and students. We offer a variety of equipment and technology that you can borrow to meet your computing, academic, and video/film production needs.
Economic rationality and abstract argumentation

This article presents a line of work that builds a bridge between abstract argumentation as a method of non-monotonic reasoning and formal models of economically rational decision-making. As the fo ...
Are Multi-language Design Smells Fault-prone? An Empirical Study

Nowadays, modern applications are developed using components written in different programming languages. These systems introduce several advantages. However, as the number of languages increases, so does the challenges related to the development and maintenance of these systems. In such situations, developers may introduce design smells (i.e., anti-patterns and code smells) which are symptoms of poor design and implementation choices. Design smells are defined as poor design and coding choices that can negatively impact the quality of a software program despite satisfying functional requirements. Studies on mono-language systems suggest that the presence of design smells affects code comprehension, thus making systems harder to maintain. However, these studies target only mono-language systems and do not consider the interaction between different programming languages. In this paper, we present an approach to detect multi-language design smells in the context of JNI systems. We then investigate the prevalence of those design smells. Specifically, we detect 15 design smells in 98 releases of nine open-source JNI projects. Our results show that the design smells are prevalent in the selected projects and persist throughout the releases of the systems. We observe that in the analyzed systems, 33.95% of the files involving communications between Java and C/C++ contains occurrences of multi-language design smells. Some kinds of smells are more prevalent than others, e.g., Unused Parameters, Too Much Scattering, Unused Method Declaration. Our results suggest that files with multi-language design smells can often be more associated with bugs than files without these smells, and that specific smells are more correlated to fault-proneness than others.
Trusted Execution Environment

A trusted execution environment (TEE) means a secure area which can guarantee the confidentiality and integrity of the code and data inside of this area. Usually a TEE is an isolated execution environment. It may be implemented as a special secure mode of the main processor, or a TEE could be maintained by a secure coprocessor.
Online Booking Laboratory Management System

With the progress of science and technology and the times, the teaching level is constantly innovating. Colleges and universities are also further improving the practical application ability of students. Laboratory construction is an essential link to improve the practical ability of students. This design is mainly based on JSP technology for business logic development, using MySQL database for data storage and call, using hypertext markup language (HTML) to build a web page interface, achieving five management functions, namely system management, appointment record management, teacher and student management, laboratory management and appointment management. The object is teachers and students in Colleges and universities. The traditional laboratory managed by hand is replaced by online reservation laboratory. The test shows that the design of the reservation laboratory system has basically reached the expected goal, and will further expand the system function and improve the browser compatibility in the later stage.
Visualizing Academic Experts on a Subject Domain Map of Cartographic-Alike

Visualizing bibliographic information aids academician users to gain insights into science mapping, and then to define the next research plans. This paper focused on expert visualization to make users utilizing their cognitive skills to comprehend science mapping by exploring experts and domain expertise. To address the comprehension problem, we represented the knowledge domain and the involving players or academic experts in a visual approach of cartographic-alike. First, to generate a base map of standardized knowledge domains, we identified semantic relatedness through word embedding on collected metadata texts of articles according to Scopus subject areas. Then, the expert coordinates were obtained after transforming article metadata with the base map and the articles were labeled with subject domains. To make it cartographic-alike, subject domain color on the map was set, where darker areas indicated more experts had interests in the particular subjects, while blended colors demonstrated mixed subjects. The experiments required two semi-manually collected datasets of Domain Data and Researcher Data in the forms of Scopus metadata. Our findings on the embedding process showed that labeling articles, and hence, experts gave a better performance with training on 1st tier Scopus subject areas of four domains compared to 2nd tiers of 26 sub-domains to avoid over-mixed subjects in the article contents. The visual result of the cartographic colored map had encouraged the respondents to explore the research interest of the experts. After observing the color blended map, users could be expected to initiate crossed domain collaboration plans.
PENEGAKAN SANKSI PIDANA SEBAGAI UPAYA MEMINIMALISIR PENYEBARAN BERITA BOHONG

Technology and the information at this time emergent with very rapidly. Development is always bring the impact of both positive and negative. A positive impact of technological developments in the this is it easy to optain information and ease in everything. But even so, negative impacts of technological developments namely the existence of the spread of the news lie ( hoax ). Hoax can be defined as the news lie or false news that did not have a source of credible and deliberately done with the goal of cheat as as one of the truth. Spreader news lie usually background by very things, one of them is the tendency excessive against a thing. Problems that was appointed in this study is how minimize the spread of the news lie. In the explained problems that appointed will using methods discriminatory cumulative considered most in accordance with the problems that was appointed. The spread of the news lie set up in the legislation. One of the law laws are set it is Law No. 11 Year 2008 About information and transaction electronic as transformed by Law No. 19 2016 about Change the top of the Law No. 11 2008 about Information and Electronic transactions or better known by the Act ITE. One of the most appropriate way in minimize the spread of the news lie by the way socialization and education to the public will danger hoax if more widespread dispersion
An Improved Exponential-Time Approximation Algorithm for Fully-Alternating Games Against Nature.

“Games against Nature” [1] are two-player games of perfect information, in which one player's moves are made randomly (here, uniformly); the final payoff to the non-random player is given by some bounded-value function of the move history. Estimating the value of such games under optimal play, and computing near-optimal strategies, is an important goal in the study of decision-making under uncertainty, and has seen significant research in AI and allied areas [2], with only experimental evaluation of most algorithms' performance. The problem's PSPACE-completeness does not rule out nontrivial algorithms. Improved algorithms with theoretical guarantees are known in various cases where the payoff function F has special structure, and Littman, Majercik, and Pitassi [3] give a sampling-based improved algorithm for general F, for turn-orders which restrict the number of non-random player strategies. We study the case of general F for which the players strictly alternate with binary moves—for which the approach of [3] does not improve over brute force. We give a randomized algorithm to approximate the value of such games under optimal play, and to execute near-optimal strategies. Our algorithm, while exponential-time, achieves exponential savings over brute-force, and certifies a lower bound on the game value with exponentially small additive expected error. (On the downside, the constant of improvement in the base of the runtime exponent is tiny, and the algorithm uses exponential space.) Our algorithm is recursive, and bootstraps a “base case” algorithm for fixed-size inputs. The method of recursive composition used, the specific base-case guarantees needed, and the steps to establish these guarantees are interesting and, we feel, likely to find uses beyond the present work.
Students" and Parents" Perception of a Synchronous E-learning (Zoom Class) in the Primary English Camp

This study attempted to investigate how primary students and their parents perceived the feature of synchronous e-learning, specifically the Zoom Class, which was implemented in a 5-day online English camp. 12 students and 7 parents participated in this study. The data were taken from 9 survey questions and a written interview with 5 questions asking about their preference for certain e-learning platforms and types that were embedded in the Zoom Class and their expectations for language competence. Overall, the result showed that both students and parents were satisfied with the Zoom Class in English camp because they could engage in interactive learning with prompt feedback from the teacher by using various technological features (e.g. sending a personal message in the chatbox or participating in real-time class activities with other students). Also, they preferred synchronous virtual class to other online learning modules and expected to improve their listening skills. According to their perceptions and references revealed in the survey, the study proposed several appropriate activities for effective language learning through synchronous e-learning.
INFLUENCE OF ORGANIZATIONAL CULTURE ON EMPLOYEE JOB SATISFACTION IN DEVOLVED UNITS IN KENYA: A CASE STUDY OF KAKAMEGA COUNTY URBAN WATER AND SANITATION CORPORATION

The purpose of this study was to establish the influence of organizational culture on employee job satisfaction in devolved units in Kenya: A case study of Kakamega County Urban Water and Sanitation Corporation. The study was guided by the following specific objectives: to determine the influence of organizational values on employee job satisfaction in devolved units in Kenya, to establish the influence of organizational norms on employee job satisfaction in devolved units in Kenya, to examine the influence of organizational artifacts on employee job satisfaction in devolved units in Kenya, and to establish the influence of management approaches on employee job satisfaction in devolved units in Kenya. The theories underpinning the study were reinforcement theory, expectancy theory and equity theory. The study had a population of 180 staffs serving in the Corporation out of which 120 formed the target respondents within the schemes and therefore convenient to measure the employee job satisfaction level. Structured questionnaires were used for data collection and generated data from questionnaire was analyzed using Statistical Package for Social Science (SPSS) software version 24 and the findings represented using descriptive statistics such as frequencies, percentages and graphs. From the regression results, the study found that the organizational culture (organizational values, organizational norms, organizational artifacts and management approaches) i.e. the independent variable significantly influence employee job satisfaction. The researcher therefore recommended the corporation to have well-structured organizational culture to enhance the employee’s wellbeing and sense of belonging. This would lead to employee commitment thus feeling satisfied to his/her job. Key Words: Organizational Values, Organizational Norms, Organizational Artifacts, Management Approaches, Employee Job Satisfaction CITATION: Wasaba, L., &amp; Juma, D. (2020). Influence of organizational culture on employee job satisfaction in devolved units in Kenya: A case study of Kakamega County Urban Water and Sanitation Corporation. The Strategic Journal of Business &amp; Change Management , 7(4), 628 – 644.
Register Analysis of Iranian Medical Students' Text Messages

A text messaging service, among other functions of mobile phones, allows mobile phone subscribers to send and receive alphanumeric characters and emoticons. The discourse of the text messages characterizes a kind of interaction, mostly on the boundary between verbal and visual communication. Adopting Halliday's Socio-semiotic Model of Language, this study considered three register variables of filed, mode, and tenor in a text message corpus comprising 2440 text messages collected from 122 medical students at Ahvaz Jundishapur University of Medical Sciences to investigate how the discourse of text message can be affected by the sociolinguistic dimensions of the context of language use. To that end, text messages were analyzed and categorized in term of the social interaction that constituted the content of the messages. The findings revealed that mobile phone text messaging is an asynchronous mode of communication which is characterized with particular register variables, and there are also pragmatic reasons in addition to the technical restrictions for the creation of this register as its users actively and selectively make use of the resources of spoken and written discourses in constructing the message.
Reggio Emilia 교육에서 아뜰리에리스타의 역할과 과제*

The Purpose of this research is to explore the roles and tasks of atelierista in Reggio Emilia approach. The method of this research is Focus group in qualitative approach. The Results of this research are as follows : First, The roles of atelierista in teaching and learning process are supporting the dynamic communications and interactions between children, understanding the thinkings and ideas of children by documentation and sharing the learning experiences and feelings sensitively. Second, The tasks of atelierista are managing the atelier, supporting the various materials to children and tasks as a member in kindergarten. In conclusion, Atelierista should comprehend about children sensitively, participate in the curriculum development on documentation, support the materials to children, manage the atelier and cooperate with teachers.
The Effect of the Multi-Layer Text Summarization Model on the Efficiency and Relevancy of the Vector Space-based Information Retrieval

The massive upload of text on the internet creates a huge inverted index in information retrieval systems, which hurts their efficiency. The purpose of this research is to measure the effect of the Multi-Layer Similarity model of the automatic text summarization on building an informative and condensed invert index in the IR systems. To achieve this purpose, we summarized a considerable number of documents using the Multi-Layer Similarity model, and we built the inverted index from the automatic summaries that were generated from this model. A series of experiments were held to test the performance in terms of efficiency and relevancy. The experiments include comparisons with three existing text summarization models; the Jaccard Coefficient Model, the Vector Space Model, and the Latent Semantic Analysis model. The experiments examined three groups of queries with manual and automatic relevancy assessment. The positive effect of the Multi-Layer Similarity in the efficiency of the IR system was clear without noticeable loss in the relevancy results. However, the evaluation showed that the traditional statistical models without semantic investigation failed to improve the information retrieval efficiency. Comparing with the previous publications that addressed the use of summaries as a source of the index, the relevancy assessment of our work was higher, and the Multi-Layer Similarity retrieval constructed an inverted index that was 58% smaller than the main corpus inverted index.
Semi-Supervised Semantic Segmentation in UAV Imagery

Author(s): Vaidya, Ashlesha | Advisor(s): Kastner, Ryan | Abstract: Mangrove forests are rich ecosystems that support our planet and the mankind in many unique ways. Unfortunately, these mangroves are declining at a rapid rate due to deforestation and other activities of the mankind. Monitoring and tracking of these mangrove trees is essential for their conservation. Machine Learning can be used for this purpose but to take advantage of the power of machine learning, image data needs to be captured for these mangrove ecosystems. This data collection is done using Unmanned Aerial Vehicles like drones in this research. Manually labeling the acquired image data for machine learning applications is a tedious and time-consuming task. This called for the development of architectures which could learn from limited labeled data and take advantage of the large amounts of unlabelled data. Such architectures are the semi-supervised semantic segmentation architectures and are studied in this research. We have shown how different semi-supervised models like the self-learning based Pseudo-Labelling architecture, the graph-based label propagation architecture and the deep leaning UNet-Autoencoder architecture perform on the task of mangrove segmentation in the aerial imagery. In order to evaluate different models we mainly look at the Intersection over Union because of it’s popularity in segmentation tasks. Overall, we see that the deep learning UNet-Autoencoder architecture performs the best with an average IoU of 0.78. Conceivably, the performance of each of the models improves as more labelled data is provided for training. The highest IoU obtained in this research is 0.9 with the UNet-Autoencoder when as much as 75% of the data provided is labelled.
Virtuell montering i tidiga faser av produktutveckling

This study has been a co-production between Malardalen university and a company to see how a project can work with Virtual Reality (VR). The purpose of the report is to help develop a method propos ...
Ontology Alignment Optimization Method Based on NSGA-II

Abstract In order to solve the problem of optimizing the mapping result integration of three distinct similarity measurement technologies (grammar based similarity measurement, linguistic based similarity measurement and taxonomy based similarity measurement), a method based on NSGA-II is proposed. Compared with the traditional genetic algorithm, this method can achieve the maximum mapping recall ratio, precision ratio and f-measure value at the same time. The ontology mapping results obtained by this method can solve the problem of preference for recall or precision. The experimental results indicate that the put forward method is feasible.
An Overview of the Tools

Glimpse offers a large assortment of powerful tools to help you create or edit just about any kind of image. In this chapter, we’ll take a look at each tool what it does.
Designing, Controlling, and Fabricating In-Place Augmented Structures

Emerging 3D printing technology has enabled the rapid development of physical objects. However, 3D-printed objects are rarely interactive and adding interactivity to printed objects is inherently challenging. To boost 3D printing for a wider spectrum of applications, I introduce in-place augmented structures, a class of 3D printable parametric structures that can be integrated with physical objects and spaces for augmented behaviors. In my research, I explore how 3D printing can support interaction (e.g., sensing and actuation) by creating novel design techniques and building interactive design tools that enable end-users to design and control desired behaviors. With these techniques and tools, I fabricate the in-place structures with readily available fabrication techniques and demonstrate my approach with a suite of applications across different domains.
APLIKASI PENJUALAN DAN PEMBELIAN PADA APOTEK ROSA DELIMA KENDARI BERBASIS PEMROGRAMAN DELPHI 7

The purpose of this study, to design a sales information system and drug purchasing at Rosa Delima Pharmacy which is useful in managing the sales, purchasing and reporting system quickly and accurately, which is now still doing the sales, purchasing and reporting system manually, in other words still doing data processing by recording regular notes. The impact that can be felt from this designed system is the ease in managing the business of selling goods, especially for the owner of Rosa Delima Pharmacy itself, the method used in designing this system is the DFD design method, the database design method uses ER and the programming language used is the programming language Delphi. The results of this study are an Application of Sales and Purchases at Rosa Delima Pharmacy Kendari
‘플립러닝(Flipped Learning)’을 적용한 대학 교양 무용 수업 개발 및 적용 전략 연구

The purpose of this study is to explore the possibility of a smart dance education program that responds to the changing times and to focus on the development of general dance education course in college applying “flipped-learning.” Looking at the concept of “flipped-learning” through literature research, a general dance education course is developed based on the ADDIE model. The result of this study is a dance class applying “flipped-learning” that focuses on general college students, not dance major students, and develops a class model that can enhance interest and interaction. Since it is possible to share and communicate with others with various viewpoints and interpretations, it has a positive aspect that it can bring educational effects to help communicate with others and express one''s thoughts.
Application of Task-Driven Case Teaching Method in Advanced Mathematics Teaching

This paper expounds the advantage and significance of task-driven case teaching method in higher mathematics classroom teaching, and focuses on the specific application of task-driven case teaching method in advanced mathematics classroom teaching, hoping to provide some reference for advanced mathematics teaching.