Reviewerly/exHarmony huggingface dataset:
LibGuides: Multicultural Literature for Children: Home

Jack and Jill meet Brown Girl, Esperanza and Jingle Dancer: Literature becomes mulitculture for children. Literature should be a reflection of the diverse population of children who are reading it in their community and school media centers. Not everyone
The Effects of Practical English on the Curriculum of University English

This study suggests a practical English on the curriculum of university English. To this end, this research examined the operational results of the program over 2 years and 6 months, and surveyed and analyzed students’ satisfaction as well as their demands from the curriculum. The results show that the simulated TOEIC scores of students who took KUGEP for a year improved by more than 61 points. The survey of KUGEP1 students revealed the following: Students had a high self-efficacy and satisfaction with KUGEP subjects, and demand for various optional English subjects and extra-curricular programs. From the results of this research, I will make a number of suggestions for introducing practical English curriculums: 1) More efficient and practical English programs should be developed to help students with high self-efficiency and learning to continue their English studies; 2) schools and faculties should make efforts to improve student satisfaction with university English curriculum; 3) Optional English subjects and extra-curricular programs should be developed to further improve English communication skills.
Computer Aided Diagnosis: Initial Results for the Detection of Thyroid Nodules using US Images

Ziel/Aim Thyroid nodule detection and classification uses Ultrasound (US) imaging to provide the patient with an initial diagnosis of their condition. Detection and classification of a nodule is dependent on the experience of the physician and could be subjective. The aim of this study is to presentthe initial results obtained towards developing a Computer Aided Diagnostic (CAD) system for the detection of thyroid nodules in US images.
LibGuides: Using Primo, the Library catalog, to Find Books & Articles: Get Help

About the Library's tool for searching print and online collections for books, articles and more.
Load Balancing of Financial Data Using Machine Learning and Cloud Analytics

With the rising use of technology, e-application systems for financial investments are highly used and are of major concern with the growing demand. As a result, a large number of users access web applications very often to analyze the trends in the market. This needs a proper managing system for balancing user requests. The process of balancing simultaneous requests is highly complicated, non-trivial and critical at times, which forces to add an external service—to handle requests and maximize the resource utilization.In this paper, we will discuss a Machine Learning Approach to design a load balancing system with a comparative case study of applying different approaches for scheduling requests. A supervised approach will be used to design the model, which will decide on the basis of predictions made by analyzing the log data. This will maximize resource utilization at different conditons like- low, medium and peak loads and will also bring flexibility to scale the system. Thus, producing a dynamic environment in the system.
Validation of English Learning Motivation Inventory: Focused on Failure Tolerance

The purpose of this paper is to validate an English-specific learning motivation scale that reflects domain specificity. Bae and Kim (2019) confirmed...
Deep Learning - Predicting Accidents

DeepLearningPredictingAccidentsPresentation.pdf - PDF file containing the final presentation given in classDeepLearningPredictingAccidentsPresentation.pptx- PowerPoint pptx file containing the final presentation given in classDeepLearningPredictingAccidentsReport.pdf- PDF file containing the final report for the projectDeepLearningPredictingAccidentsReport.docx- Word docx file containing the final report for the project
Esthetic Education in Mathematics Lessons with the Use of Software Products

The article deals with the possibilities of information-communication technologies (ICT) for the process of aesthetic education of future specialists teaching natural sciences, including mathematics. This paper makes a compelling case for the inclusion of the aesthetic in the teaching and learning of mathematics. Using a provocative set of philosophical, psychological, mathematical, technological, and educational insights, illuminates how the materials and approaches we use in the mathematics classroom can be enriched for the benefit of all learners. In this paper offered specific recommendations to help teachers evoke and nurture their students’ aesthetic abilities, includes examples of mathematical inquiry in a software-based learning environments, revealing some of the roles they play in supporting students’ aesthetic inclinations. The result ours research electronic textbook “Mathematics” allows fully opens up all intellectual and creative opportunities for future experts, develops their imagination and broadens their horizons in the use of innovative computer technologies. The experimental design provides a basis for understanding whether software products improve achievement. While the study worked to ensure that teachers received appropriate training on using products and that technology infrastructures were adequate and that teachers would like to use electronic textbook “Mathematics” more or use them differently. Because of this feature of the study, the results relate to conditions of use that high schools would face if they were developing the electronic textbook “Mathematics” or provide the software service using internal resources products on their own.
AI May Help Physicians Diagnose Blood Clots

Computer learning algorithms can now learn to distinguish different types of blood clots based on what caused them, says a new study.
Mean Oriented Riesz Features for Micro Expression Classification

Micro-expressions are brief and subtle facial expressions that go on and off the face in a fraction of a second. This kind of facial expressions usually occurs in high stake situations and is considered to reflect a human's real intent. There has been some interest in micro-expression analysis, however, a great majority of the methods are based on classically established computer vision methods such as local binary patterns, histogram of gradients and optical flow. A novel methodology for micro-expression recognition using the Riesz pyramid, a multi-scale steerable Hilbert transform is presented. In fact, an image sequence is transformed with this tool, then the image phase variations are extracted and filtered as proxies for motion. Furthermore, the dominant orientation constancy from the Riesz transform is exploited to average the micro-expression sequence into an image pair. Based on that, the Mean Oriented Riesz Feature description is introduced. Finally the performance of our methods are tested in two spontaneous micro-expressions databases and compared to state-of-the-art methods.
Learning design of planes using context culture traditional house Bengkulah

Abstract In this case, the research that will be carried out aims to find out the cultural context of the bengkulah traditional house. The research subjects are students of SMP Negeri 1 Tanjung Lubuk. The method used in this research is the validation study design research method, alleged learning (Hypothetical Learning Trajectory). Through an interactive process including designing (Preliminary Design), (Teaching Experiment) and (Retrospective Analysis). Data collection is done through several things including making video recordings of class events and group work, collecting student work, giving preliminary and final tests, and interviewing students. So that it can show the process of implementing learning, that the use of the cultural context of the custom house can support students understanding material Rectangles and triangles.
Limits, applicability and generalizations of the Landauer's erasure principle

Almost sixty years since Landauer linked the erasure of information with an increase of entropy, his famous erasure principle and byproducts like reversible computing are still subjected to debates in the scientific community. In this work we use the Liouville theorem to establish three different types of the relation between manipulation of information by a logical gate and the change of its physical entropy, corresponding to three types of the final state of environment. A time-reversible relation can be established when the final states of environment corresponding to different logical inputs are macroscopically distinguishable, showing a path to reversible computation and erasure of data with no entropy cost. A weak relation, giving the entropy change of $k \ln 2$ for an erasure gate, can be deduced without any thermodynamical argument, only requiring the final states of environment to be macroscopically indistinguishable. The common strong relation that links entropy cost to heat requires the final states of environment to be in a thermal equilibrium. We argue in this work that much of the misunderstanding around the Landauer's erasure principle stems from not properly distinguishing the limits and applicability of these three different relations. Due to new technological advances, we emphasize the importance of taking into account the time-reversible and weak types of relation to link the information manipulation and entropy cost in erasure gates beyond the considerations of environments in thermodynamic equilibrium.
Image Encryption Algorithm Based on Piece Wise Linear Chaotic Map Integration With Linear Diophantine Equation

The current chaotic encryption system generally uses a fixed scrambling and diffusion key for encryption, which leads to low efficiency and security. This paper designs a fast image encryption method based on Linear Diophantine equation by constructing a dynamic diffusion mechanism. The coefficients of the Diophantine model are estimated by using the sequence output from the segmented chaotic map, and the Diophantine equation is solved according to the coefficients. A large number of scrambling keys and diffusion keys are generated by the index sorting method, and the scrambling and diffusion of sub images are processed respectively, thus greatly improving the security of the ciphertext. The test data shows that compared with other image encryption schemes, the proposed method has higher security and efficiency, and significantly reduces the time consumption.
『능엄경』의 이근원통과 염불원통의 특성에 대한 비교 고찰

This thesis intends to analyze the contents of the Buddhist scriptures regarding the two wontong laws that came from the specialness that is possessed by the Igeunwontong and the Yeombulwontong of the Shurangama Sutra (The Sutra of the Heroic One), and it intends to take a look at the meanings and the suitabilities of the two wontong laws through the performance system and the ideological logic structure that are contained in the content of the Shurangama Sutra. The Igeunwontong of the Avalokitesvara Guan Yin (the (Buddhist) Goddess of Mercy) is a method that counter-questions the self-examination that lifts all of the boundary lines that induces the spiritual distinguishing by contemplating the munseong through the igeun. By winning over all of the yukgeun, the Yeombulwontong of the Daesejibosal aims at the gyeonbul through only the jeongnyeom regarding the Amitabha. The two have the commonality with regard to the point that both of them enhance the aggressive will for the great victory and that each of them selected the geun that possesses the most extraordinary charity in order to make the selection. The wontong that is finally selected in the Shurangama Sutra is the Igeunwontong. The reason why the Igeunwontong of the Avalokitesvara Guan Yin is very extraordinary is because, from the beginning, it does not rely on the mind of the birth and the death in relation to the munseong and because the content of the performance that solves the fundamentals of the life and death and the anguish by going through the phase of the yukgyeol and the others of the like has been most faithfully following the performance system that is presented in the Shurangama Sutra. The Yeombulwontong of the Daesejibosal mentions the determination regarding the Amitabha in the Inji, and it emphasizes the absolute belief regarding the Amitabha. However, with the standard of the Shurangama Sutra, just as pointed out by the Bodhisattva of wisdom, even the determination regarding the Buddha is a delusion, and it had relied on the mind of the birth and the death. The principle of the performance that is demanded by the Shurangama Sutra is that the beginning and the purpose of the performance are clearly and definitely recognized and that the two kinds of the determinations or, in other words, the inji and the gwaji, are made to coincide. Except, it is to find the key for the nirvana from the fundamental of the problem.
Rational human behaviour for corporate survival: Black Monday Review

A story of mass ignorance inculcating a powerful lesson on the significance of information transparency in a trading economics; insofar technology can make markets less transparent, the crucial role of free press stand out.This critique on the Black Monday phenomenon pronounces behavioural anomaly in economics as a result of rational human behaviour for corporate survival. Three dimensions are reviewed: Policy and political undertones, highfaluting financial vehicles as well as technology and social responsibility.
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks

Recently, with the development of deep learning, end-to-end neural network architectures have been increasingly applied to condition monitoring signals. They have demonstrated superior performance for fault detection and classification, in particular using convolutional neural networks. Even more recently, an extension of the concept of convolution to the concept of kervolution has been proposed with some promising results in image classification tasks. In this paper, we explore the potential of kervolutional neural networks applied to time series data. We demonstrate that using a mixture of convolutional and kervolutional layers improves the model performance. The mixed model is first applied to a classification task in time series, as a benchmark dataset. Subsequently, the proposed mixed architecture is used to detect anomalies in time series data recorded by accelerometers on helicopters. We propose a residual-based anomaly detection approach using a temporal auto-encoder. We demonstrate that mixing kervolutional with convolutional layers in the encoder is more sensitive to variations in the input data and is able to detect anomalous time series in a better way.
Subtle Gaze Direction with Asymmetric Field-of-View Modulation in Headworn Virtual Reality

Virtual reality allows users freedom to interactively look around, but designers sometimes want to encourage attention to certain areas of interest without directly interrupting the user. Our research presents asymmetric changes to field of view in head-worn virtual reality as a means of subtle encouragement of user gaze direction. Preliminary study results indicate this method can induce turning behavior, but viewer reactions may not be consistent. Asymmetric reduction in the visual field can create curiosity and induces movement towards or away from the reduced direction. Preliminary results indicate participants more often looked towards the reduced direction to compensate for what they were missing. Further, some participants were not able to detect field of view modulations.
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity

Phishing websites are still a major threat in today's Internet ecosystem. Despite numerous previous efforts, similarity-based detection methods do not offer sufficient protection for the trusted websites - in particular against unseen phishing pages. This paper contributes VisualPhishNet, a new similarity-based phishing detection framework, based on a triplet Convolutional Neural Network (CNN). VisualPhishNet learns profiles for websites in order to detect phishing websites by a similarity metric that can generalize to pages with new visual appearances. We furthermore present VisualPhish, the largest dataset to date that facilitates visual phishing detection in an ecologically valid manner. We show that our method outperforms previous visual similarity phishing detection approaches by a large margin while being robust against a range of evasion attacks.
The Causal Relationship between Export and Growth of 16 Metropolitan Cities and Provinces in Korea

Purpose&#8211; The purpose of this study is to analyze the causality between export and growth at the regional level, not at the national level, in a trade environment that has changed from extensive exportism to intensive exportism. Design/methodology/approach&#8211; In this study, panel time series data that combines time and space for the regional exports and regional growth of 16 metropolitan cities and provinces from 1Q of 2000 to 4Q of 2019 were used. The constructed data were analyzed using thepanel FMOLS model. Findings&#8211;The panel group’s export elasticity to regional growth was 0.39. This means that when regional exports increase by 1%, regional growth increases by 0.39%. However, the export elasticity of each group’s regional growth showed a big difference. Gwangju (0.76) had the highest export elasticity among the 16 metropolitan cities and provinces. In addition, Gangwon (0.64), Daegu (0.54), and Gyeonggi (0.53) were the regions with high export elasticity after Gwangju. On the other hand, the regions with very low export elasticity among the 16 metropolitan cities and provinces were Jeonnam (0.15) and Seoul (0.17). Research implications or Originality&#8211;Korea’s 16 metropolitan cities and provinces form a vicious cycle of bi-derectional casuality effects in regional exports and regional growth. However, since these 16 metropolitan cities and provinces have different growth effects due to varying exports, it is necessary to analyze the causes of such regional growth differences and propose a new growth strategy to promote efficient regional exports.
Some Model Theory of Guarded Negation

The Guarded Negation Fragment (GNFO) is a fragment of first-order logic that contains all positive existential formulas, can express the first-order translations of basic modal logic and of many description logics, along with many sentences that arise in databases. It has been shown that the syntax of GNFO is restrictive enough so that computational problems such as validity and satisfiability are still decidable. This suggests that, in spite of its expressive power, GNFO formulas are amenable to novel optimizations. In this paper we study the model theory of GNFO formulas. Our results include effective preservation theorems for GNFO, effective Craig Interpolation and Beth Definability results, and the ability to express the certain answers of queries with respect to a large class of GNFO sentences within very restricted logics. This version of the paper contains streamlined and corrected versions of results concerning entailment of a conjunctive query from a set of ground facts and a theory consisting of GNFO sentences of a special form (dependencies).
일기와 선교편지를 통해 본 알렌과 헤론의 갈등에 관한 재 고찰

The two years of Korean missionary history, from 1886 to 1887, were a period in which the Presbyterian missions in Korea were almost bankrupt due to the conflict between Allen and Heron. However, this conflict had a great influence on the future mission strategy of the Korean church. The debate also determined the nature of Christian institutions, such as hospitals and schools. Therefore, this paper is intended to examine the conflict between Allen and Heron during the early mission of the Korean Church. Therefore, this paper first attempts to analyze what are the details of the conflict between Allen and Heron from 1886 to 1887. To this end, this paper analyzes the diaries, letters, and reports of Allen and Heron, and the director of the Underwood and Missions headquarters, and presents the content of the conflict in detail. Secondly, I will analyze the cause of conflict theologically. In particular, I will review the existing researches and analyze the contents of the conflict to find out what other causes are and arrange them.
LibGuides: Children's Literature: Database Help

This Library Guide will help students find the resources they need as they research children's literature.
Protection Against Cross-Site Scripting Attacks

The use of web browser cookies has become quite prevalent online. Cookies follow internet users everywhere they go, whether to keep them logged in to certain services or to personalize the advertisements they receive. Since these cookies can contain sensitive information like usernames and passwords, it is of utmost importance that they are protected from any malicious activity. One common way to steal a user's cookie is through Cross-Site Scripting (XSS) attacks, where malicious scripts are injected into text comments on websites, such as forum discussion boards, that allow users to submit text messages and comments. These malicious scripts, injected into text, may deliver web browser cookies to the attacker without making the user aware of the hostile action taking place. To combat these attacks, we are proposing easily implementable solutions for those who host websites that allow users to submit text messages and comments. To analyze the proposed solutions, we have created two versions of the same website to portray the difference in XSS attacks on protected versus unprotected websites.
Generating collection queries from proofs.

Nested relations, built up from atomic types via tupling and set types, form a rich data model. Over the last decades the nested relational calculus, NRC, has emerged as a standard language for defining transformations on nested collections. NRC is a strongly-typed functional language which allows building up queries using products and projections, a singleton-former, and a map operation that lifts queries on tuples to queries on sets. In this work we show that NRC has a strong connection with first-order logic: it contains exactly the transformations that are implicitly definable by formulas $\varphi$ in first-order logic with quantification suited for nested collections. We also prove an effective variant of our result, providing a procedure that synthesizes an NRC expression in polynomial time from a proof witnessing that $\varphi$ provides an implicit definition for one subset of its free variables in terms of another subset of the variables. This synthesis result works off of proofs within an intuitionistic calculus that captures a natural style of reasoning about implicit definability in the context of nested collections.
LibGuides: Instructional Services: Library Support for Online Instruction: Home

This guide provides information on how Idaho State University libraries supports faculty who teach online courses.