Reviewerly/exHarmony huggingface dataset:
Context-Aware Seeds for Read Mapping

Motivation: Most modern seed-and-extend NGS read mappers employ a seeding scheme that requires extracting t non-overlapping seeds in each read in order to find all valid mappings under an edit distance threshold of t. As t grows (such as in long reads with high error rate), this seeding scheme forces mappers to use more and shorter seeds, which increases the seed hits (seed frequencies) and therefore reduces the efficiency of mappers. Results: We propose a novel seeding framework, context-aware seeds (CAS). CAS guarantees finding all valid mapping but uses fewer (and longer) seeds, which reduces seed frequencies and increases efficiency of mappers. CAS achieves this improvement by attaching a confidence radius to each seed in the reference. We prove that all valid mappings can be found if the sum of confidence radii of seeds are greater than t. CAS generalizes the existing pigeonhole-principle-based seeding scheme in which this confidence radius is implicitly always 1. Moreover, we design an efficient algorithm that constructs the confidence radius database in linear time. We experiment CAS with E. coli genome and show that CAS reduces seed frequencies by up to 20.3% when compared with the state-of-the-art pigeonhole-principle-based seeding algorithm, the Optimal Seed Solver. Availability: https://github.com/Kingsford-Group/CAS_code
The use of virtual reality tools in the clinic

What's new in the virtual world? Come along to learn about illusions and brain trickery and how we may incorporate this into pain education, pain management and rehabilitation. Tash, Dan and Ebonie will present cutting edge research that is being conducted as well as explore illusions you can use in the clinic. There will be plenty of opportunity to have a play with the latest technology and gadgets including moving in the virtual world. Come and see what is possible now and what is on the horizon for clinical practise.
부도예측 모형에서 뉴스 분류를 통한 효과적인 감성분석에 관한 연구

Bankruptcy prediction model is an issue that has consistently interested in various fields. Recently, as technology for dealing with unstructured data...
BUILDING THE INFORMATION ENVIRONMENT OF THE UNIVERSITY

The problem of creation of the information environment of higher education institution.The description of components of the environment and a choice of the applied technologies is provided.The architecture of creation of the infrastructure, including such components, as the centralized terminal servers of remote loading, virtualization servers, terminal stations and clients, a uniform platform of creation of information management systems of organization, a platform of the organization of web-conferences are offered.Thus, the proposed infrastructure of the organization of information and telecommunication environment allows to use free software as basic elements, minimizing the cost of purchasing licenses.The construction of a computer network fragmented into virtual subnets and the organization of network boot operating systems with centralized management can improve security and significantly reduce the cost of software maintenance throughout the infrastructure, the use of virtualization systems allows for flexible organization of access to the software.
APLIKASI PEMODELAN ALIRAN AIR DI SUNGAI DENGAN MENGGUNAKAN JARINGAN SYARAF TIRUAN

Many rivers in one area provides  benefits to human life, flora and fauna. Frequently  the rivers give  problems  such as flood.  Artificial Neural Network is part of the science of Artificial Intelligent and can modeling  flow the water in the river to take  account in to how much waters enter  from small rivers  as  input flowing  into the prime river , that proses is called as  activation function. And how much output can be received. So the output can be predicted and the problem will be occur due to the overflow can be handled. Keywords  : Floods , Activation Function , Artificial Neural Network.
User Experience: A Case Study for Amphibious Operations

Scuba divers' teams, as special operations units of Navy, perform actions to collect critical data on amphibious operational scenarios. In order to carry out these missions, divers need to recognize the shore by collecting data from landing sites of amphibious forces or cleaning sites and access channels, mines, and other obstacles. This work aimed at the design and implementation of a solution that could support the operational needs of Navy divers. For this purpose, a preliminary study of the functional and non-functional requirements of amphibious operations was carried out, with a special emphasis on the use of best practices from User Experience (UX) discipline. The proposed solution went through different design stages - including the construction of a low, medium and high-fidelity prototypes, submitted to usability tests -, and then an app was developed targeting mobile devices. Final tests of the developed mobile application revealed good scores in us-ability metrics, namely on effectiveness, efficiency and satisfaction of use.
교육연극을 활용한 한국어문학교육 연구

Since the diplomatic relations between China and South Korea, Korean language education has developed in China. Due to the rapid development of the politics, economy, and culture of both countries and the rapid growth of demand for Korean talent, many higher education institutions are establishing and operating Korean as a major. At present, many efforts are being made to develop teaching materials and teaching methods in various regions and universities in China, but the results are not so much.Considering this situation, it is necessary to use Korean language education that takes advantage of the characteristics of the region and school rather than a uniform, single Korean language education. Also, based on the universally used education mode, it is necessary to create a new and efficient method through innovation and to search for the transition of the whole education curriculum from the perspective of cultivating basic Korean ability.Foreign language education cannot be separated from the culture of the country. The culture of Korea refers to a varied range including traditional arts, food, shelter, and lifestyle. This paper aims not only to teach Korean culture by using educational theater technique but also to design Korean education and learning plan. Thus, using literary works as texts and educational play, Korean teaching model for advanced Chinese learners is presented. This will enable Chinese learners to understand the thoughts, emotions, cultural, artistic and folklore contexts of Koreans. In the case of Korean language education in China, the development of teaching and learning using educational play is still far away, and there are few researchers in this field. This paper has searched the concept as a simple paper. I look forward to helping you develop teaching and learning methods in the field of Korean language education in the future. I also hope that it will help not only Korean language education but also other language education.
PENGARUH TEXT PREPROCESSING DAN KOMBINASINYA PADA PERINGKAS DOKUMEN OTOMATIS TEKS BERBAHASA INDONESIA

Numbers of information increased in concordance to the growth of them digitally. And many of informations available on the internet are in textual form. It is necessary for the information seekers to get the what they require. Automatic Text Summarization is a process of summarizing done by machine through certain methods to get a shorter form of document while still preserving the gist. This research is to examine the influence of preprocessing text and its combination to the Automatic Text Summarization of Bahasa Indonesia. Method used are segmentation, Tokenization, Stopword removal, Stemming and N-Gram. There are 14 steps of combination. The results shows that indeed there is influence of those combinations to the Automatic Text Summarization.The highest F-Measure is resulted on combinations step of Tokenization >> 2-gram >> Summarization, with 66% accuracy. While the lowest is resulted from the combination step of Tokenization >> 3-gram >> Summarization and process of Tokenization >> 4-gram >> Summarization with 63% accuracy.
How Do the Members of a Parliament Negotiate? Analysing Verbatim Records

Negotiation is a strategic discussion that resolves an issue in a way that both parties find acceptable. Specific forms of negotiation are used in many situations, among them in parliamentary discussions. In this paper we report on a pilot study on verbatim records of sittings held in the Estonian Parliament. The structure of the discussions will be represented by using the dialogue acts of a custom-made typology. It will be compared with the structure of negotiation in everyday life. Our further aim is to create means for automatically recognizing the structure and analysing the contents of parliamentary negotiations and political arguments. To our knowledge, this is the first attempt to model Estonian political discussions.
Hate speech in Egyptian television talk shows: a qualitative study

This thesis could not have been completed without the continuous support and guidance of my thesis advisor, Dr. Naila Hamdy, Associate Professor in the Department of Journalism and Mass Communication / Associate Dean for Research and Graduate Studies, in the School of Global Affairs and Public Policy, The American University in Cairo. Dr. Hamdy, you have truthfully been a mentor to me on so many levels; not just academically, but personally as well. Your trust in me has always given me the courage to work harder and achieve more than I expect. You have never withheld any opportunity to provide me with advice and guidance throughout my studies and through the process of building my future career.I would also like to acknowledge Dr. Ghada Barsoum, Associate Professor – Chair, Department of Public Policy and Administration, The American University in Cairo, as a reader of this thesis. I am thankful to her for her very valuable comments and insightful feedback on my work throughout the past year. I would also like to acknowledge Dr. Khalid Abdel Halim, Assistant Professor, Department of Public Policy and Administration, The American University in Cairo, as a reader of this thesis. I would like to thank him for his efforts, his assistance, and valuable insights on my work throughout the past semester. I would like to deeply thank my parents, who have been my backbone and source of strength and inspiration ever since I was a young girl. You have taught me that nothing is impossible as long as I have a passion for what I am doing. You have given me the inspiration to study and work in the field of the media and journalism since the first newspaper article I wrote when I was only fourteen years old. You will always be my role model in, literally, everything. You have made me who I am today, of which I am so proud. My siblings, thank you for being in my life and for giving me all the support and love that pushed me forward. When you say that you are proud of my achievements, it makes me feel more responsible and I work harder to make you always proud of me.
Sentence Generation Using Selective Text Prediction

Text generation based on comprehensive datasets has been a well-known problem from several years. The biggest challenge is in creating a readable and coherent personalized text for specific user. Deep learning models have had huge success in the different text generation tasks such as script creation, translation, caption generation etc. Most of the existing methods require large amounts of data to perform simple sentence generation that may be used to greet the user or to give a unique reply. This research presents a novel and efficient method to generate sentences using a combination of Context Free Grammars and Hidden Markov Models. We have evaluated using two different methods, the first one is using a score similar to the BLEU score. The proposed implementation achieved 83% precision on the tweets dataset. The second method of evaluation being a subjective evaluation for the generated messages which is observed to be better than other methods.
A Web-based Didactic Tool for Teaching of Distributed Consensus

Currently, educational models face the challenge of using information and communication technologies (ICT) to provide their students with the necessary tools and required knowledge in the 21 st Century.The study of distributed systems is increasingly its important due to the popularity of web applications.For this reason, we address in this paper a topic known as the Byzantine Generals problem, which is a topic that has boomed in recent years, with the emergence of Bitcoin and Blockchain.This paper presents a web tool to support the teaching-learning process, which is given between the teacher and the students.The objective of this tool is to familiarize students with notions of consensus algorithms.Using our didactic tool users can visualize the operation of the Byzantine Generals algorithm and improve their knowledge about this consensus case.
Listening to the displaced vocal body

The singer-listener relationship is unique in its body-body dynamic within spaces of sonic production. As the only musical instrument contained within the body itself, through the singing voice we ...
Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis

We analyze the stability of recurrent networks, specifically, reservoir computing models during training by evaluating the eigenvalue spectra of the reservoir dynamics. To circumvent the instability arising in examining a closed loop reservoir system with feedback, we propose to break the closed loop system. Essentially, we unroll the reservoir dynamics over time while incorporating the feedback effects that preserve the overall temporal integrity of the system. We evaluate our methodology for fixed point and time varying targets with least squares regression and FORCE training [6], respectively. Our analysis establishes eigenvalue spectra (which is, shrinking of spectral circle as training progresses) as a valid and effective metric to gauge the convergence of training as well as the convergence of the chaotic activity of the reservoir toward stable states.
의료기관의 정보보호교육과 정보보안생활과의 관련성

PURPOSE: To demonstrate that the training of information protection for members at medical institutions increases the information protection activities of employees.METHODS: We used the chi-square test and the logistic regression model to analyze the data of the Healthcare Information and Communication Status Survey in 2017 (n = 2002) conducted by the Korea Health Industry Development InstituteRESULTS: As a result of the analysis, the information protection activity increased when the education was received and the number of received more than the education was not received. Especially, when the management receives education, it affects the information protection activities of the employees.CONCLUSION: In order to protect medical information, medical institutions need to provide education on information protection for management and employees.
LibGuides: Open Access: Worktribe Outputs: Guide

This guide explains how RGU researchers can add their work to the university's research information system.
Communicative Environment Of Inquiry-Based Learning At School

The article proves that communicative environment of inquiry-based learning of schoolchildren differs from the communicative environment of traditional learning. Typological signs of communicative space of inquiry-based learning have been revealed by means of comparison of scientific and pedagogical institutional discourses. It has been proven that the communicative space of inquiry-based learning is not a scientific discourse form, but a special locus of pedagogical discourse. Communicative environment of inquiry-based learning is represented in the integrity of its three components: the class environment based on the usage of the problem learning method by the teacher and his/her education dialogisation skills; extracurricular activity of the pupils conducting research, during which the results-oriented shaping of their academic culture occurs; other forms of speech interaction of the study subjects based on the values and traditions of academic culture. The article emphasizes the characteristics of communicative competence of the teacher, necessary for him to implement the communicative role of scientific supervisor. Three levels of such competence are presented: the level of conscious command of rhetorization tools; the level of command of organization of creative interaction with the pupils; the level of command of facilitation skills. It has been concluded that a specialized training of teachers-scientific supervisors to efficient interaction in the communicative environment of inquiry-based learning is necessary. The article discloses the content of academic subject “Communicative competence of inquiry-based learning subjects” for Master’s degree program “Pedagogic education”.
Discovering the Geometry of Narratives and their Embedded Storylines

Many of us struggle to keep up with fast evolving news stories, viral tweets, or e-mails demanding our attention. Previous studies have tried to contain such overload by reducing the amount of information reaching us, make it easier to cope with the information that does reach us, or help us decide what to do with the information once delivered. Instead, the approach presented here is to mitigate the overload by uncovering and presenting only the information that is worth looking at. We posit that the latter is encapsulated as an underlying storyline that obeys several intuitive cognitive constraints. The paper assesses the efficacy of the two main paradigms of Information Retrieval, the document space model and language modeling, in how well each captures the intuitive idea of a storyline, seen as a stream of topics. The paper formally defines topics as high-dimensional but sparse elements of a (Grassmann) manifold, and storyline as a trajectory connecting these elements. We show how geometric optimization can isolate the storyline from a stationary low dimensional story background. The approach is effective and efficient in producing a compact representation of the information stream, to be subsequently conveyed to the end-user.
AN INVESTIGATION INTO CODE-SWITCHING BY EFL STUDENTS IN INFORMATION TECHNOLOGY CLASSES AT PHU XUAN UNIVERSITY, HUE CITY

Code-switching is a very common and popular language technique, especially in teaching and learning English speaking skills. This research paper is an investigation into the use of code-switching in learning English by Information Technology students at Phu Xuan University. First of all, it explores the students’ perceptions of the use of code-switching in English classes. This study’s instruments including questionnaires, interview and observation are used to find out the types and functions of code-switching, reasons and benefits, as well as challenges of using code-switching for IT students in vocational English classes. The study findings show that most of IT students are aware of the benefits of using code-switching, thus they often do code-switching in vocational English classes to explain some IT specialized terms, talk about some particular topics, emphasize, make interjection, and repeat words/phrases to clarify them. From the results obtained, we might confirm that code-switching is an effective approach to improve students’ English communication skills, which should be used as an integral part of EFL lessons.
A New Way to Classify Physical Effects for Ontology Instantiation

As one of the most important knowledge sources of TRIZ, the collection of Physical effects is currently searched in a very basic way. In order to enhance its use, different proposals have been brought to the community to classify effects into different categories. Among them, a rule-based approach classified the collection of physical effects into four categories and built a set of rules to facilitate its direct use. However, this approach is not robust enough due to the lack of instances of physical effects. In this paper, we propose a new approach to classify physical effects in order instantiate the existing ontology. In addition, preliminary results are presented to demonstrate the feasibility of the approach. The results brought us evidences that we facilitate the direct access to the collection of physical effects.
Inventing ET Rules to Improve an MI Solver on KR-logic

We understand that many logical problems cannot be solved by using logic programs. Logic programs have the limited capability of representation. We try to overcome this limitation by adopting KR-logic, an extension to first-order logic. The extension includes function variables. In this paper, we take a problem which is well-described with function variables. We rely on Logical Problem Solving Framework (LPSF) to formalize our problem as a Model-intersection problem. Then we develop a solver for MI problems by adding five new transformation rules concerning function variables. Correctness of each rule is proved.i.e., each rule is an equivalent tranformation (ET) rule. Since each rule is correct, all ET rules can be used together without modification and combinational cost. Thus, the invented rules can be safely reused in other LPSF-based solvers.
Research Guides: ORCID@UCI: Get Started!

ORCID is an independent nonprofit organization that maintains a registry of unique identifiers, called ORCiD iDs, for researchers and scholars and those involved with research, scholarship and innovation. ORCID provides a persistent digital identifier that distinguishes you from every other researcher and ensures that your work is recognized by linking you to your professional activities.
A Parallel BMH String Matching Algorithm Based on OpenMP

BMH(Boyer-Moore-Horspool) string matching algorithms have played an important role in the field of biological sequence alignment, text processing, spell checking, and computer virus signature matching. However, with the explosive growth of the data, the serial string matching algorithm is too slow to finish the matching task within an acceptable time. This paper proposed a parallel BMH string matching algorithm based on OpenMP. The parallelism of the BMH algorithm is first identified by theoretical analysis. Then, the sequential algorithm is designed as a parallel algorithm in a data-parallel form and the larger string matching task is divided into multiple sub-string matching tasks by partitioning strategy. Furthermore, using the thread-level parallel technique, each thread carries out string matching operations on different sub-string blocks in parallel. Compared with the serial BMH algorithm, the parallel BMH matching algorithm with 8 threads can achieve up to 3.53 times speedup. On the OpenMP platform, experimental results show that the proposed parallel algorithm can acquire a significant increase in speedup. Under the accuracy of ensuring the string matching, the optimal number of threads and the most optimal block segmentation scheme are obtained through experimental tests. It indicates that the OpenMP-based parallel BMH algorithm has excellent acceleration performance, and an advantageous application prospect in various field.
LibGuides: Project Muse eBooks: Home

The University Libraries and Archives has permanently licensed 49 eBooks from Project Muse's Evidence Based eBook Acquisitions Program. The decision to purchase these specific eBooks was made based on usage statistics and the needs of the ESU community.