Reviewerly/exHarmony huggingface dataset:
Track Similarity-based Typhoon Search Engine for Disaster Preparedness

Track Similarity-based Typhoon Search Engine for Disaster Preparedness Chun-Mo Hsieh, Cheng-Yu Ho, Hung-Kai Kung, Hao-Yung Chan, Meng-Han Tsai and Yun-Cheng Tsai Pages 1361-1366 (2020 Proceedings of the 37th ISARC, Kitakyushu, Japan, ISBN 978-952-94-3634-7, ISSN 2413-5844) Abstract: Plenty of variance lies in the development stage of a typhoon, including its location, direction, and surrounding meteorological conditions. Affected by such numerous contributing factors, it is not always easy for nowaday technology to make accurate typhoon forecasts. The experiences from the past typhoons may provide decision-makers with sufficient information to anticipate potential damage and thus develop appropriate strategies. The typhoon track plays a vital role in selecting appropriate historical cases based on the need to grasp the situation during the disaster preparedness phase. This paper summarizes our published journal article, which proposed an algorithm to compare the similarity between the current typhoon forecast track and all the typhoon tracks of the western North Pacific in the past. Based on the forecast track points of the current typhoon, the algorithm suggests a list of historical typhoons with the highest similarity in tracks. Hence, the tracks and the disastrous area of those historical typhoons can be used as crucial alerts and hints for disaster preparedness. Inside the algorithm, the mechanism follows the Recentness Dominance Principle, which is elaborated in our published journal article. The principle states that the more recent the forecast track point is, the higher the weight that it possesses and thus should be emphasized. For implementation, the study develops a user-friendly front-end interface that synchronizes the latest forecast typhoon tracks from six major meteorological institutions automatically, including CWB, HKO, JMA, JTWC, KMA, and NMC. The result comes with a convenient and concise search engine that assists decision-makers in finding similar historical typhoon records. Keywords: typhoon track similarity; search engine; user interface design; disaster preparedness; decision support DOI: https://doi.org/10.22260/ISARC2020/0188 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
Contrastive Learning of Visual Representations from Unlabeled Videos

This thesis presents a novel self-supervised approach of learning visual representations from videos containing human actions. Our approach tackles the complex problem of learning without the need of labeled data by exploring to what extent the ideas successfully used for images can be transferred, adapted and extended to videos for action recognition purposes. We begin by giving a brief introduction to the topic of learning features without having access to a labeled corpora, providing the motivation of our work. We continue with presenting the related research in terms of contrastive learning, action recognition from videos with 3D convolutions and self-supervised techniques for both images and videos. Next, we formalize our approach with regards to the sampling method, the types of spatial and temporal transformations and the contrastive loss used. We evaluate videoSimCLR proposed method in terms of linear evaluation, fully fine-tuning and video retrieval using two popular action recognition datasets, HMDB51 and UCF101. We also explore the extension of another contrastive learning approach to videos, videoMOCO, and compare it with videoSimCLR by means of linear evaluation.
The Gaussian Neural Process

Neural Processes (NPs; Garnelo et al., 2018a,b) are a rich class of models for meta-learning that map data sets directly to predictive stochastic processes. We provide a rigorous analysis of the standard maximum-likelihood objective used to train conditional NPs. Moreover, we propose a new member to the Neural Process family called the Gaussian Neural Process (GNP), which models predictive correlations, incorporates translation equivariance, provides universal approximation guarantees, and demonstrates encouraging performance.
Graph-based recommendation by trust

The recommendation system as an effective tool is used to alleviate the information overload problem, and is being applied to personalised services. In recommendation, user's ratings as explicit feedback data can clearly express user's preference, however explicit feedback data has a natural defect that user's interest for an item would varies in context such as emotions, time etc. and the ratings could not reflect the changing. In this paper, a novel graph recommendation algorithm is presented based on user's trust relation that is regarded as implicit feedback data to calculate similarity to enhance the performance for Top-K recommendations. By evaluating the presented algorithm and compared to four competitive algorithms on the four real world datasets, the results show that the presented algorithm performs better than other algorithms in precision, recall and converge.
MODULES OF PRACTICAL EDUCATION IN RESCUE SERVICES

J. Svetlík , S. Gašpercová, M. PoloreckáUniversity of Žilina, Faculty of Security Engineering (SLOVAKIA)
A Tone Mapping Model Based on Receptive Field for HDR Images

High dynamic range (HDR) imaging has greater contrast reproduction capability than standard imaging techniques. It can achieve natural and pleasing appearance in terms of image quality. A tone mapping model (TMOz) is developed based on the center-surround properties of the mammalian ganglion cells of the human visual system for feature enhancement. The contrast of the HDR image is mapped adaptively to an SDR display range using a global method followed by contrast enhancement in local regions. A psychophysical experiment was conducted to refine the model for adaptivity of the contrast mapping function. Finally, the performance of the TMOz was evaluated using CIELAB (2:1) formula together with high quality reference images. The results showed that TMOz outperformed the other tone mapping operators (TMOs).
7. The implementation of semi-automated FISH analysis of Acute Myeloid Leukemia - A pilot study

The increasing demand for FISH testing and the desire for laboratories to provide the best patient care in a timely manner, as well as a shortage of qualified staff, have made automated analysis systems a growing trend. We compared the FISH analysis of our current manual method to the semi-automated method by Applied Spectral Imaging (ASI). Manual analysis was conducted by two technologists each analyzing 100 cells. The ASI GenASIs system – the semi-automated method – was utilized to perform the initial analysis and then one technologist verified the classification of the cells. The panel used in the comparison includes FISH probes for t(15;17), RARA BAP, and t(9;22) with ASS. Ten patients’ specimens, both positive and negative, were analyzed by both methods. Accuracy and precision studies were also performed. The results of both the manual and semi-automated analyses were all comparable for t(15;17), RARA BAP, and t(9;22) with ASS. The time documented for the manual analysis averaged 15 minutes per probe for each technologist, totaling 1½ hours to complete the entire panel. The average time to complete the analysis of the panel using the GenASIs analysis software averaged 30 minutes. The accuracy was determined by comparing the signal quality and semi-automated analysis of four scans with the original manual analysis on one positive and one negative case. The precision study was completed by comparing the signal quality and semi-automated analysis of the four scans. There were no major differences seen between the two methods. We found that the ASI GenASIs semi-automated system provided an accurate and timely approach with high quality image captured to perform FISH studies on cells from suspension cultures. Validation of more probes on cultured cells and on FFPE tissue slides is currently ongoing in our laboratory.
POWER POLITICS, UNDERDEVELOPMENT AND NIGERIA’S QUEST FOR TECHNOLOGICAL DEVELOPMENT: A CRITICAL ANALYSIS

Right from the cradles, man has shown subsisting quest to conquer, dominate or master his physical and social environments. Historical accounts attest that irrespective of the clime or people, that man has generally strove to make progress or develop in response to his environment and its challenges. A critical factor in this has been technology. Then today, technology is increasingly playing a pivotal role, not only in development but also in power relations. The possession of technology, particularly in the right aggregate has often determined the social location or power position of the contenders of power. The purpose of this paper is to explore the place of technology in Nigeria’s development, underdevelopment and interstate relations.
Electronic Scoring System for Medical Articles (ESSMA)

Aim: To create an objective scoring system to rank the medical articles which can help the medical professionals, in this case pediatric surgery providers, to identify which articles are a must read. Methods: ESSMA was created using the same parameters that are used in the academic field to assess studies which are …
TEXT-TYPE-BOARD AS A LEARNING MEDIA TO INCREASE JUNIOR HIGH SCHOOL STUDENTS’ INDEPENDENT LEARNING

This study was intended to see whether a set of text type board for junior high school students can help them to find some basic information about text types in English in a simple way. This learning media also help the students find proper sources of information directly. This study was conducted to answer on a question about how the text type board teaching media affect the junior high school students’ learning process. The writer concern about their independent learning on student’s learning process. The data were gathered from questionnaire and interview. All of the data from Research and Information with interview technique was going to be analyzed. The interview was conducted for two of English teacher in SMP Putra Tama and all of the 7th and 8th grades of SMP Putra Tama. The writer presented the learning media called Text-Types-Board. Then, the writer applied it to7th and 8th grades of SMP Putra Tama for four times. The research was conducted on March 29th, 30th2017 and 5th, 6th April 2017. The students said that the availability of the Text Types Board really helps them solve the problem about English texts by themselves.
Solving One Variable Word Equations in the Free Group in Cubic Time.

A word equation with one variable in a free group is given as U = V, where both U and V are words over the alphabet of generators of the free group and X, X⁻¹, for a fixed variable X. An element of the free group is a solution when substituting it for X yields a true equality (interpreted in the free group) of left- and right-hand sides. It is known that the set of all solutions of a given word equation with one variable is a finite union of sets of the form {α wⁱ β : i ∈ ℤ}, where α, w, β are reduced words over the alphabet of generators, and a polynomial-time algorithm (of a high degree) computing this set is known. We provide a cubic time algorithm for this problem, which also shows that the set of solutions consists of at most a quadratic number of the above-mentioned sets. The algorithm uses only simple tools of word combinatorics and group theory and is simple to state. Its analysis is involved and focuses on the combinatorics of occurrences of powers of a word within a larger word.
THE IMPLEMENTATION MECHANISMS OF INCLUSIVE EDUCATION IN RUSSIA AND ABROAD

The term "inclusive education" was officially enshrined in Russia within the new law "On Education," adopted in December 2012. The first time in history of education the law was developed with the participation of the general public and professional communities and simultaneously forms the basis of legal regulation in the field of education of children, especially children with special educational needs, and, at the same time, the beginning of a new period in improving the State educational policy in Russia in accordance with widely recognized international principles and standards. The adoption of the concept of inclusive education at the federal level contributed to the expansion of the territorial boundaries of the introduction of inclusive education in Russia and was a prerequisite for the genesis of large-scale interprofessional discussions at the macro, meso- and micro-levels of the education system functioning. However, the analysis made it possible to establish a significant contradiction between the objective need to implement inclusive education in general education schools and the lack of a holistic scientific and theoretical understanding of this problem in Russian pedagogy, the lack of comprehensive pedagogical technologies for its implementation. First of all, the issue of the implementation of inclusive education is closely related to the level of readiness of society and the education system to accept the very idea of inclusion. For almost a century (since 1929), a system of corrective pedagogy was created and continuously developed in Russia, whose unique and significant experience in teaching and raising children with special educational needs is rightfully recognized and highly appreciated by the scientific world community. Despite the fact that at the beginning of the 20 century the outstanding Russian scientists (G.Y. Troshin, V.P. Kashchenko, L.S. Vygotsky) antedated the means of development of defectology in the rapprochement of general and special pedagogy, their ideas were not properly embodied in Russia until the 70s of the last century, while in the pedagogy of foreign countries the experience of these scientists was widely recognized. This case reinforces the urgent need to study and critically understand the halfcentury experience of foreign countries in the context of its predictive significance for the Russian education system. The purpose of this article is to provide a critical analysis of the implementation mechanisms of inclusive education in Russia in a comparative aspect with the successful experience of a number of foreign countries.
IMPROVING THE TENTH GRADE STUDENTS’ READING SKILLS BY USING MIND MAPPING TECHNIQUE

This study was a classroom action research which concerned with the inquiry on how mind mapping technique could improve the reading skill of the tenth-grade students’ of State Senior high School 1 of Ujanmas. This research was conducted into three cycles (cycles 1,2, and 3) and the preliminary stage was initiated before the study was conducted. Each cycle had four steps: plan, action, observation, and reflection. The subjects of the research were thirty-five tenth-grade students. The technique for collecting qualitative data employed was an observation, to know the improvement of teaching and learning activities, whereas quantitative data were obtained through a reading test. The research result showed that (1) mind mapping technique could improve the students reading skill, (2) mind mapping technique could enhance students’ motivation in the teaching and learning process, (3) mind mapping technique could increase students’ attention to understand and students were encouraged in asking and answering a question. In conclusion, the tenth-grade students’ reading skills could be improved by using the mind mapping technique.
LibGuides: Remote Research Resources: Journals, Articles and Newspapers

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LibGuides: Scholarly Communications: Predatory Publishing

Information on the scholarly publishing process including writing and submitting works, evaluating publications and impact metrics, and copyright.
Decoding the Universe: Tools for Optimal Extraction of Information from Galaxy Surveys

Future galaxy surveys (whether space-based, like Euclid and the Roman Space Telescope, or ground-based like the Rubin Observatory’s LSST) will provide an unprecedented amount of data regarding the distribution of galaxies. This distribution encodes significant cosmological information, including neutrino mass and the nature of dark energy. However, the very power of these surveys can become problematic, in that they will probe scales ($\la 10h^{-1}$Mpc) on which the standard analysis techniques (using the galaxy power spectrum) are blind to significant portions of the cosmological information inherent in the data. This work develops two categories of tools for decoding this hidden information.First, it applies the theory of sufficient statistics to galaxy surveys, providing prescriptions for these statistics, which one can then fit to observations. In particular, it provides, for any near-concordance cosmology, prescriptions for (a) the sufficient-statistics dark matter power spectrum $P_A(k)$, (b) the matter probability distribution function $\mathcal{P}(\delta)$, and (c) the sufficient statistics galaxy power spectrum $P_{A^*}(k)$.Second, it pioneers techniques for fitting cosmological models to counts-in-cells (CIC) galaxy probability distributions; in particular, it (a) proposes and validates a galaxy bias model applicable to scales as small as $2h^{-1}$Mpc, (b) determines values for otherwise-degenerate parameters ($\sigma_8$ and galaxy bias $b$) by fitting to observed CIC in SDSS data, and (c) derives and verifies formulae for the CIC covariance matrix.Together, these tools allow maximally efficient extraction of cosmological information from the data returned by future galaxy surveys.
LibGuides: Human Library at UCA: Volunteer

The University of Central Arkansas will host a Human Library event on April 14, 2020 in Torreyson Library
A new verification approach for subjective evaluation of actions in HMD-VR with EEG

We propose a new verification approach for subjective evaluation of actions and reactions in virtual reality. We have been working on subject behavior analysis in VR. A head tracking HMD allows users to move around and make actions up to a room size, and their experiences can be measured by their head position, motion estimation, and gaze tracking when they are available. But in most cases, subjective evaluation for total VR experience are conducted after their experiences are over. We have succeeded in integrating a new EEG device that can measure EEG and mind indexes in real time with gaze-trackable and head-trackable HMD. By referring the gaze tracking results and EEG analysis and/or mind indexes when a situation is presented in VR, we can check the subject is surely watching the objects with their attention in the situation and their attention level in his/her mind. It may support the reliability of the score of subjective evaluation. This is very important when we need to conduct a number of subjective evaluations with a fewer number of subjects. We have developed our preliminary system for two applications – sport action analysis and traffic safety evaluation – and confirmed that it is a promising approach.
How Does E-Book Bag Promote Learning? Video Analysis Based on Classroom Recordings

With the popularity of mobile learning and the rapid development of internet, e-book bag has received increasing attention. However, recent studies rarely analyze the functional characteristics of E-book bag and its influence on teachers’ instructing and students’ learning from the perspective of classroom teaching application. In this regard, this study selected 20 sections of live e-book bag teaching video recorded in Changchun, China, and analyzed the functionality of e-book bag using Video Analysis on its following four dimensions: situation creation, knowledge construction, collaborative communication, and evaluation feedback. We concluded that e-book bag has three major functions: “resources and toolkits”, “teaching interaction”, and “teaching evaluation”. Meanwhile, it provides support for active interaction between teacher and students, between students, and between students and learning contents as well. Therefore, the use of e-book bag satisfies students’ individualized learning, supports the communication and cooperation between teacher and students, and helps students to construct knowledge in depth.
A Novel Approach on Memory Management Systems

In today's generations Memory Management plays a vital role in Operating Systems. The main efficient usage of memory in computer applications are most important aspect because the memory is an essential part of a computer system and manages maximum utilization in a computer system. In this paper the author presents a Memory Management technique to achieve better performance in the computer system.
Bilingual Education Learning to Engage in Academic Activities

The purposes of the research are the following reasons: The competition of pursuing further education; English lessons were given in junior high schools in the past, but has gradually progressed to the situation where elementary students have to study English as it has become an important subject for examination, so it is natural that bilingualism exists in the area. Research method the researcher conducted interviews and recordings under the consent of teachers and parents; the researcher compiled a semi-structured interview outline based on literature reviews and research purposes. Cross comparison was carried out on the result data and other relevant documents were referred to for conducting triangulation of sources. The researcher found that the objective of bilingual education was for the students to become balanced bilinguals, i.e. being able to understand school courses taught in two languages and use the two languages to engage in academic activities.
LibGuides: Primary Sources: Home

This guide is designed to connect students with resources that specialize in or include primary sources. Databases require passwords for off campus use. In most cases your RomanNet credentials serve as your password for our subscription products.
Analisis Penggunaan Cloud Computing Pada Usaha Ramah Lingkungan Di Universitas Pertamina

Nowadays, with issues related to global occurrences, every industry or organization is required to protect the environment in order to remain sustainable. In recent years cloud computing has become a topic of discussion especially in this endeavor. Cloud computing has the potential to reduce power consumption, energy costs and gain costs. This has led to an increasing number of organizations in the private and public sectors that have led to cloud-based solutions or are seriously considering moving to cloud computing. However, the decision to use cloud computing will always require a complete analysis of the new options being offered in order to minimize risks. This paper will explain an analysis of the benefits, advantages and disadvantages of using cloud computing in environmentally friendly enterprises at Pertamina University.
Block-Chain a Next Generation Secure Way for Transaction

Block-chain is a new terminology changing the world of transaction easy and more secure. It also helps to reduce the risks of failure and make your money secure by giving the technological attachments. Block-Chain is not only used in small enterprises but also used in many of the high transactional values and can also be used in current banking system. It makes our banking system extremely secure. A very large amount of money or capital has already been involved in many different types of crypto currencies.