Reviewerly/exHarmony huggingface dataset:
Malicious web pages detection using feature selection techniques and machine learning

In recent years, researchers have provided significant solutions to detect malicious web pages, still there are many open issues. This paper proposes a methodology for the effective detection of malicious web pages using feature selection methods and machine learning. Our methodology consists of three modules: feature selection, training and classification. To evaluate our methodology, six feature selection methods and eight supervised machine learning classifiers are used. Experiments are performed on the balanced binary dataset. It is found that by using feature selection methods, the classifiers achieved significant detection accuracy of 94-99% and above, error-rate of 0.19-5.55%, FPR of 0.006-0.094, FNR of 0.000-0.013 with minimum system overhead. Our multi-model system using majority voting classifier and wrapper+Naive Bayes feature selection method with GreedyStepwise search technique using only 15 features achieved a highest accuracy of 99.15%, FPR of 0.017 and FNR of 0.000.
Licensing Negative Sensitive Items

This chapter introduces the key contrasts between two major NSI categories and shows the explanatory adequacy of the multi-locus analysis of negation to account for the mutual exclusivity between certain NSIs on the one hand and bipartite negation in JA and the negative marker <italic>maa</italic> in SA on the other hand. NSIs’ interaction with negation takes place in at least three different ways. First, negation is (usually) required in simple declarative sentences containing an NSI. Second, certain NSIs have a negative interpretation when used as fragment answers despite the absence of overt negation. Third, certain negative markers are in complementary distribution with certain NSIs. The chapter starts by defining the major NSI types along with their lexical categories. It then lays out the theoretical background of NSI licensing as this is necessary to develop an analysis for NSIs based on the multi-locus analysis of negation. This chapter extends this analysis to the Qatari and SA data giving further evidence that the different positions of negation have different effects on the licensing of NPIs. This chapter also discusses the interaction between higher negation and determiner NCIs (<italic>wala</italic>-NP) as well as the interaction between <italic>maa</italic> and NPIs in SA.
Problems of Precision in Fuzzy Theories of Vagueness and Bayesian Epistemology

A common objection to theories of vagueness based on fuzzy logics centres on the idea that assigning a single numerical degree of truth—a real number between 0 and 1—to each vague statement is excessively precise. A common objection to Bayesian epistemology centres on the idea that assigning a single numerical degree of belief—a real number between 0 and 1—to each proposition is excessively precise. In this paper I explore possible parallels between these objections. In particular I argue that the only good objection along these lines to fuzzy theories of vagueness does not translate into a good objection to Bayesian epistemology. An important part of my argument consists in drawing a distinction between two different notions of degree of belief, which I call dispositional degree of belief and epistemic degree of belief.
A Broader Look at a Student Newspaper under Disruptive Changes

Aim/Purpose: This paper focuses on student newspapers in the midst of digital transfor-mation and the impact this has on their future survival. Background: The ramification of digital transformation on commercial newspapers is not new, but looking at it from a big picture helped to us to connect to what has been happening with student newspapers across the United States. Methodology: Through a limited review of selected student newspapers across the country, this paper attempted to identify key challenges, trends, and best practices to determine the current as well as future state of this media model. Contribution: The knowledge gained was then used to inform a transition of a specific stu-dent newspaper to cope with its own challenges and to share this condition with other schools around the nation. Findings: Due to the digital transformation, the traditional student newspapers have been disrupted and are going through the transition into digital platforms similar to those in the commercial newspapers. Yet, the value of the content is still important. Recommendations for Practitioners: Rapidly advanced technology transform student newspapers into a real-time, highly customized, personal, rich with multimedia format. This means the newspapers must be able to reach where their readers are and deliver what their readers ask for. Recommendation for Researchers: The transition of newspapers to be more digitized calls for more studies on the rise of new generation of readership, the relentless changes in technology, the search for a sustainable revenue model for e-newspaper, as well as issues in self-generated journalism. Impact on Society: As more people gain access to portable digital devices, the desire for hard copy newspapers that report yesterday’s news is rapidly decreasing. In today’s world, the news is instantaneous and the lag time between the event and it being reported is sometimes mere seconds. Future Research: Research on “fake news” is important as newspapers become more digitalized.
창의적 체험활동과 교과 교육과정의 연계 도구로서 내러티브

The purpose of this study is to explore the applicability of narrative as an integrated tool of subjects and creative experiential activities in order to clarify problems and improve them through the analysis of cases of elementary school’s creative experiential activities. As a result of the study, the applicability of narrative in terms of curriculum development and instruct has been suggested. First, in the aspect of curriculum development, narrative can be used as a medium for integrating subjects and creative experiential activities. Second, in the aspect of instruct, narrative can be used as a tool of the materials and contents of a lesson, a content delivery method, and building learning communities. Lastly, this study proposed how to apply narrative for each field of creative experiential activities. When organizing and operating creative experiential activities, it is expected that it will be useful to achieve the true goal of creative experiential activities if they are connected with the subjects by using narrative.
Categorical perception in data visualizations

When we depict our data as visualizations, we care about how effectively our eye can extract the original data values. That effectiveness is limited by Weber’s Law, where error is proportional to a percentage its absolute value (Cleveland & McGill, 1984; Heer & Bostock, 2010). If you can reliably see a 1 pixel change in a 10-pixel dot plot or bar graph, it should take ~10 pixels of change of a 100-pixel bar to match the same level of performance. That absolute value is relative to some baseline value, such as 0-pixels. Little existing work in graphical perception explores how other baselines might affect performance. For example, it’s easier to see the difference between two lines differing by 2° when the values are 89 vs 91° (straddling the 90° categorical boundary) than when they are 15 vs 17° (Bornstein & Korda, 1984). Participants saw with 100 randomly-ordered trials where they saw an initial display with a dot of a particular height (X=1, 2, 3, ...100). Viewers then ‘drew’ the dot again at a new screen location on a subsequent display. When the dot was presented on its own (no y-axis), we replicated the Weber’s Law error effect, though with an intriguing propensity to overestimate small values. However, when the dot was presented near or on a y-axis, the error was mirror-symmetric, presumably because viewers chose the closer end of the range as the baseline. We also observed a repulsive bias from responding at 50%, where viewers were more likely to draw a dot of 49% as ~45%, and a dot of 51% as ~55%, suggesting that the midpoint of the axis serves as a categorical boundary. This finding translates categorical perception effects to data visualization, and points a path to work that creates guidelines for more precise, and less biased, data visualizations.
Interactive Recommendation Model for Optimizing Data Visualization

The study describes a Guideline Model that allows users who want to visualize Data to generate visualizations that are tailored to their tasks and purposes as intended. Data analysis is widely used in the research design process, depending on the recent environment in which the importance of data is gaining attention, but it is not easy for users to freely design and visualize data in a cognitively optimized form. Through this study, we reviewed all of the data visualization studies published in InfoVis, and developed nine key elements for Data Visualization UX by analyzing in depth 59 of the findings that could be used in the Guideline design. We intend to innovate the Data Visualization UX by building the Guideline created through this process into an interactive recommendation interface that makes it easier and more accurate for users to understand. This was developed from a prior study called Voyager system.
Analysis of Parameter Selection for Solar Radiation Prediction and Global Solar Radiation Prediction Model using Polynomial Regression

Solar irradiance is available in abundance and can be harvested to satisfy ever-growing energy demand. Installation of photovoltaic (PV) solar panels at any desired location is not often economically feasible and hence prediction of solar radiation is crucial. Relative humidity and temperature at a specific location Chumukedima, Nagaland (latitude 25.86 N, longitude 93.75 E) in India have been used for the present study along with the solar irradiance outcome. Significant parameter contributing towards the solar radiation outcome is derived with the help of design of experiments (DOE) and analysis of variance (ANOVA). Polynomial regression model is developed to predict the solar irradiation. From the results obtained, it is evident that the humidity contributes more towards the solar irradiation prediction.
Study on Collaborative Filtering Recommendation Model Fusing User Reviews

The traditional collaborative filtering model suffers from high-dimensional sparse user rating information and ignores user preference information contained in user reviews. To address the problem, this paper proposes a new collaborative filtering model UL_SAM (UBCF_LDA_SIMILAR_ADD_MEAN) which integrates topic model with user-based collaborative filtering model. UL_SAM extracts user preference information from user reviews through topic model and then fuses user preference information with user rating information by similarity fusion method to create fusion information. UL_SAM creates collaborative filtering recommendations according to fusion information. It is the advantage of UL_SAM on improving recommendation effectiveness that UL_SAM enriches information for collaborative recommendation by integrating user preference with user rating information. Experimental results of two public datasets demonstrate significant improvement on recommendation effectiveness in our model.
Using educational game apps in improving students mathematics’ learning: an exploratory study on third grader at-risk classroom at primary school in Selangor, Malaysia

Researches on the effectiveness of technology used in learning had shed different light on its affordances in line with the 21st century students. With the student getting savvy by days, this call for newer and relevant approaches towards the use of technology in the classroom. The use of technology should be considered as a tool to meet the demanding of a niche group such as the special need and at-risk learner who need more comprehensive and inclusive tutoring. To fill the gap, this paper explored the use of game apps in facilitating the at-risk third grader's learning at four schools in one districts in Malaysia. Pre and post-test showed that the used of mathematics-based app improved student mental calculation and reduced time needed to complete the exercise. Much deeper study on the effectiveness use of technology in the at-risk classroom should be conducted in the future.
Sulzer letter : Preservation Lab Treatment Report

This is a handwritten manuscript letter owned by the Cincinnati Hebrew Union College. It was written in the19th century by Salomon Sulzer (1804‐1890). Sulzer was a noted Hebrew composer and editor of liturgicalmusic and a cantor in Austria. He has become widely known as the first Jewish composer to combineJewish music with the performance techniques of European/Western music.
LibGuides: BEd Teacher Education: Recently added eBooks

Library support for BEd Teacher Education students in Stranmillis University College A selection of books recently added to the Library's collections
SCIENCE AND IMAGE OF A SCHOLAR IN WORKS BY V. BRUSOV

The paper deals with «science poetry» concept developed in the late XIX-early XX century by René Gillet and Valery Brusov. The concept was disclosed in V. Brusov’s lectures, his works on literary theory and two collection of verses: «Mea» and «Distant Territories» («Дали»), which are replete with the scientific terms. The paper considers two scholars depicted in «The Fiery Angel», a novel by V. Brusov, Agrip-pa von Nettesheim and Faust, as well as in his other works, primarily, «A Night Trip», etc. The paper concludes that V. Brusov’s creativity pre-empted science fiction.
Board 96 : Leveraging Python to Improve Quality of Metadata of Engineering Faculty Publication Records

Abstract The Engineering Library at the University of Iowa conducted a project which consisted of reviewing metadata of engineering faculty publications in the Academic and Professional Records (APR), which is a locally branded faculty profile system. The challenge of the project was that there are thousands of records with erroneous or missing metadata, making it difficult to manually check Digital Object Identifier (DOI) and ISSN. Our strategy was to analyze the complete dataset, break it down into subsets with some common patterns and then focus on those subsets. The processes were conducted using Python. As a result, we prioritized records that have almost complete metadata but missing DOI and/or ISSN, retrieved DOI from PubMed and CrossRef online queries separately and added ISSN by matching journal titles or conference names with authorities. The implementation of Python can not only make the review process effective and efficient but also expand library services to the APR project.
Virtual Reality andAugmented Reality : A Survey from Scania’s Perspective

Virtual reality and augmented reality are technological fields that have developed and expanded ata great pace the last few years. A virtual reality is a digitally created environment where compute ...
Deep-Water Image Enhancement by Guided Filtering

Enhancement of deep-water or underwater images is necessary due to number of challenges that occurs because of the water medium that supports scattering, absorption and haziness. Enhancement of images has used a technique that will be done using box filtering and guided filtering that preserves the edge factor and smoothens the image which will undergo dark channel prior algorithm to clear the hazes in the image. In this paper, it shows the preprocessing with box filtering and also guided filtering for preserving the edges of the input image using a guidance image that is an input image itself.
Secure Scheduling Algorithms for Ship Communication Network Tasks under Cloud Computing

Li, L. and Fang, M., 2019. Secure scheduling algorithms for ship communication network tasks under cloud computing. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 747–752. Coconut Creek (Florida), ISSN 0749-0208.In order to improve the efficiency of cloud computing and save the overhead of Ship communication network task scheduling, this paper proposes a solution to the existing problems in scheduling algorithms of cloud computing Ship communication network task such as imbalanced resource loading, long scheduling time, and high cost in the scheduling process. A secure scheduling algorithm for Ship communication network tasks under cloud computing is described based on differential evolution algorithm. Security factors are added for the task scheduling process, and tasks with different security requirements are submitted to virtual machines with different security levels to ensure the security of the user tasks. Then, the corresponding membership functions are established for the differentiated service target constraints of the user tasks. The multi-objective constrained problem is transformed into a single-objective constrained problem by adjusting the weights of the constraints. Afterwards, a differential evolution algorithm is utilized to iteratively compute the target constrained problem, and construct a task scheduling evaluation function, and select the optimal feasibility schedule plan based on the evaluation function value. The experimental results show that compared with the current algorithm, the proposed algorithm has better load balancing in the task scheduling process, shorter scheduling time and lower cost.
Semi-automatic post-processing of multi-view 2D-plus-depth video

We propose a post-processing framework based on multiview interactive video segmentation for correcting 2D-plus-depth video footage. The suggested approach uses user-made scribbles to guide the multi-view segmentation process, which is based on an efficient cost-volume filtering algorithm. We extend the 2D algorithm to 3D and propose several improvements that increase precision and recall while also decreasing the need for user input. Our semi-automatic approach is supported by an interactive visualization tool that integrates both 2D and 3D views of the footage, allowing the user to explore novel views coherently and grasp a better understanding of the underlying data. We integrate our post-processing framework into a workflow for generating dynamic meshes from footage recorded by multiple stereo cameras, demonstrating the applicability of the technique.
Location-based Virtual Reality Experiences for Children:Japan-UK knowledge exchange network: Tokyo Workshop

This is the programme, abstracts and speaker bios for the Location-based Virtual Reality Experiences for Children:Japan-UK knowledge exchange network: Tokyo Workshop.
OMR grader mobile app using image processing / Rasrizal Hakimi Rosdi

Optical Mark Recognition (OMR) sheets have been used by many educational institutions. Marking process approach varied either using automatic OMR machine or manually marking the answers. By using the image processing techniques, researchers came up with solutions to automatically mark the answers without the need of OMR machine. In this project, OMR Grader Mobile Application is system prototype for OMR answer grading that had been developed to approach the automatic way of process the OMR answer without OMR machines based on image processing. The prototype developed is using OpenCV library for image processing purposes. Rapid Application Development (RAD) model is used in this project There are four phases in this development model, the requirement gathering, user design, development and cutover. The developed prototype main concerned is about accuracy. To know the accuracy of the system, accuracy test is used. There are three categories for the test, camera resolution test, grid lines alignment test and light intensity test. For the samples, five files were tested for each category. The camera resolution test included three camera resolutions, 0.3 MP with the 20 percent accurate, 0.7 MP with 100 percent accurate and 5.0 MP with 40 percent accurate. The test for grid lines alignment consists of three conditions, correctly aligned with 100 percent accuracy, slightly aligned with 40 percent accuracy and completely misaligned with 0 percent accuracy. The test result for light intensity for dark surrounding is 40 percent accurate, for the home light conditions is 100 percent accuracy and 80 percent accuracy for uneven lighting. For future works, the warp perspective functions should be applied to image processing algorithm to make the answer detection accuracy much precise.
Pengaruh Ice Breaking terhadap Motivasi Belajar Anak pada Kelompok B di TK Nurul Huda Krakahan, Tanjung, Brebes Tahun Ajaran 2018/2019

Based on observations conducted by researchers on group B that the children’s learning motivation varies. There are children who have a good motivation learn but there are also children who have a not good motivation learn. The purpose of this studyis to determine the effect ice breaking on the children’s learning motivation on group B at TK Nurul Huda, Krakahan, Tanjung, Brebes Academic Year of 2018/2019. This study used Pre Eksperimental (Pre-Eksperimental Design) that was by one-Posttes pretes group (one group Pretest-Postest Design) as the study design. Techniques of collecting data from this study were observation, interview, and documentation.This research subject was child group B TK Nurul Huda Krakahan, Tanjung, Brebes totaling 21 children. The results of the initial observation scores before the ecperiment amounted to 560 with an average of 26,67, the highest score was 30, the lowest value 23, and standard deviation = 2,59. The results of the experiment after the final observations was 787, with an average of 37,48, the highest score was 40, the lowest value was 34 and standard deviation = 2,27.base on the analysis of data obtained, thitung -39,636, because thitung -39,636  ttabel -2,086 then H0 was rejected and H1 was accepted.it can be concluded that the ice breaking influenced on children’s learning motivation on the group B at TK Nurul Huda Krakahan, Tanjung, Brebes of the Academic Year of 2018/2019.
Promoting pragmatic awareness of Indonesian English as Foreign Language (EFL) learners through teaching speech acts of oral and written complaints

&lt;p&gt;The lack of pragmatic competence could result in unexpected effects on the speakers; for example, the speakers are considered as rude and aggressive people. Accordingly, developing pragmatic competence for EFL learners should be a great concern. This article is aimed to fill in the needs of pragmatic teaching by providing examples of teaching practices that have successfully developed learners’ pragmatic competence. There are two tasks that have been designed and implemented by drawing on discourse processing framework proposed by Celce-Murcia and Olshtain (2000) to achieve the production of both written and spoken discourses. The first task is on speaking, particularly on the speech act of oral complaints. The second task is on writing a letter of complaint. This article suggests that developing pragmatic awareness through the speech act of oral and written complaints is effective.&lt;strong&gt;&lt;/strong&gt;&lt;/p&gt;
Implementation and Evaluation of Encoder Tools for Multi-Channel Audio

The increasing interest for immersive experiences in areas such as augmented and virtual reality makes high quality 3D sound more important than ever before. A technique for capturing and rendering ...