Reviewerly/exHarmony huggingface dataset:
Structured Learning for Action Recognition in Videos

Actions in continuous videos are correlated and may have hierarchical relationships. Densely labeled datasets of complex videos have revealed the simultaneous occurrence of actions, but existing models fail to make use of the relationships to analyze actions in the context of videos and better understand complex videos. We propose a novel architecture consisting of a correlation learning and input synthesis (CoLIS) network, long short-term memory (LSTM), and a hierarchical classifier. First, the CoLIS network captures the correlation between features extracted from video sequences and pre-processes the input to the LSTM. Since the input becomes the weighted sum of multiple correlated features, it enhances the LSTM’s ability to learn variable-length long-term temporal dependencies. Second, we design a hierarchical classifier which utilizes the simultaneous occurrence of general actions such as run and jump to refine the prediction on their correlated actions. Third, we use interleaved backpropagation through time for training. All these networks are fully differentiable so that they can be integrated for end-to-end learning. The results show that the proposed approach improves action recognition accuracy by 1.0% and 2.2% on single-labeled or densely labeled datasets respectively.
The Discourse of Component Content Management on Technical Communication Practitioner Blogs

This study explores discursive blog posts about component content management by technical communication practitioners. It identifies blogs and posts that explore component content management practices over a one-year period (2018). The study offers an overview of current approaches to, and perspectives on, CCM by synthesizing this community’s blog contributions. The complexity of some approaches are causes for concern. While many bloggers are committed to their current content development methodology, others propose possible alternative, and less complex, solutions. The findings indicate that bloggers are aware of developments and trends, and are strategizing for the future.
How to archive scholarly journals from the Republic of Korea in the National Library of Korea

According to the policies of a number of indexing database agencies and the Principles of transparency and best practice in scholarly publishing 3rd version, archiving of scholarly journal articles is mandatory for editors and publishers.Furthermore, publishers in Korea have been required to deposit journal article files in the National Library of Korea since February 2016 by law.This study presents background information on archiving sites and how to deposit digital files in the Library's archive.Although some archiving sites for scholarly journals have been developed internationally, it may be burdensome for publishers in Korea (almost all of which are academic societies) to use those sites to deposit digital files because a deposit fee is required by some agencies.Furthermore, PubMed Central, maintained by the United States National Library of Medicine, accepts only English-language biomedical journals.In contrast, it is possible for publishers to deposit articles in the National Library of Korea by uploading files without any fees, regardless of the journal language.Furthermore, publishers can select the access policy of their journals.All journal publishers and editors in Korea are recommended to utilize the archiving site of the National Library of Korea to preserve their journal articles.
Management of ethnocultural diversity in Africa: challenges and socio-economic consequences

This paper analyzes the challenges and socio-economic consequences of managing ethnocultural diversity in Africa. Results show that the challenges of managing ethnocultural diversity in Africa are primarily historical and political. The economic implications of managing ethnocultural diversity are positive when government policies are participatory and inclusive. However, when the management of diversity leads to identitarian closure, the consequences are negative and range from popular uprisings to conflicts. As a recommendation, the governments of African countries should study the nature of their diversity and develop inclusive and equitable public policies that take into account the interests of all identity groups. Respect for the Constitution and democratic rules is also an asset for effective management of ethnocultural diversity.
Μελέτη ρομποτικών συμπεριφορών

This thesis deals with the design, development and study of automated machines with programmed behavior.The first five chapters present the theoretical background for understanding robotic behaviors, while the remaining chapters deal with the practical part of the thesis.
Clustering functional data into groups by using projections

We show that, in the functional data context, by appropriately exploiting the functional nature of the data, it is possible to cluster the observations asymptotically perfectly. We demonstrate that this level of performance can sometimes be achieved by the k‐means algorithm as long as the data are projected on a carefully chosen finite dimensional space. In general, the notion of an ideal cluster is not clearly defined. We derive our results in the setting where the data come from two populations whose distributions differ at least in terms of means, and where an ideal cluster corresponds to one of these two populations. We propose an iterative algorithm to choose the projection functions in a way that optimizes clustering performance, where, to avoid peculiar solutions, we use a weighted least squares criterion. We apply our iterative clustering procedure on simulated and real data, where we show that it works well.
Evaluation of Software Evolution based Aspect Mining Technique

Aspect Mining is the search for candidate aspects in existing software systems and isolating them from the system into separately described aspects.A number of aspect mining techniques (AMT) have been proposed in literature for identifying crosscutting concerns.Software Evolution based Aspect Mining (SEAM) is also an AMT that identifies candidate aspects from version archives of software.The candidate aspects from two open source projects have been identified to assess the applicability of SEAM.One of the major limitation of most of the AMTs that have been proposed in literature is that no validation of their result is provided.In this paper, the evaluation of results produced by SEAM is presented.The evaluation process determines if the candidate aspects recommended by SEAM actually contain crosscutting functionality.The accuracy of recommendations produced by SEAM is determined by comparing the results of SEAM with the results of a benchmarking tool.
The Use of Cinematography in Crime-Related Movies: Lighting and Framing Serve the Storytelling

Bibliography: pages 25-26%%%%This thesis will analyze how cinematography serves the visual storytelling in crime-relatedmovies, specifically the use of lighting and framing. Unlike other genres, the use of lighting and framing in crime-related movies has its unique symbols and techniques, such as a lot of harshlights and high/ low angles. By introducing the basic aspects of cinematography, this paper willestablish a general understanding of cinematography, such as the use of lighting, lens, format,color, framing and camera movement. These elements work well with each other to createbeautiful and engaging visuals in movies that help to strengthen the narrative. After establishing a basic understanding of cinematography, this thesis will further explore the use of lighting and framing as the most important and efficient techniques when it comes to affecting storytelling in crime-related films and the audience’s experience. Both Protege (2007) and Sicario (2016) are good examples and masterpieces representing the extraordinaryunderstanding and the efficient use of lighting and framing to boost storytelling, creating tensionand suspense through the use of light, shadow, weight, and position within the frame. This paperwill dive into these two crime-related movies and analyze their use of cinematography toenhance the story. Without a close study of these principles, problems may emerge when itcomes to new filmmakers trying to create an ambitious image if they forget the most importantfunction of cinematography, the storytelling.%%%%Includes the short film Gimcrack / created, edited, and directed by the author and Luis Manuel Pena ; produced by Erwin Villaneuva. Follows 24 hours in the conflicted life of a young Asian-American street-drug dealer and his drug-addicted sister.%%%%Keywords: lighting, framing, cinematography, crime-related movies, storytelling, visual
Ensemble Updating of Binary State Vectors by Maximising the Expected Number of Unchanged Components

Summary The main challenge in ensemble-based filtering methods is the updating of a prior ensemble to a posterior ensemble. In the ensemble Kalman filter (EnKF) the update is constructed based on a linear-Gaussian model assumption. In the present study we consider how the underlying ideas of the EnKF can be transferred to a situation where the components of the state vector are binary variables. Based on a generalised view of the EnKF, we formulate a class of possible updating procedures. We adopt a hidden Markov model for the state and observation vectors, and define an optimal update by maximising the expected number of binary variables that remain unchanged. The performance of our approach is demonstrated in a simulation example inspired by the movement of oil and water in a petroleum reservoir. In particular we empirically compare our results with corresponding results when using a naive updating strategy where the posterior ensemble is sampled independently of the prior ensemble, and with the results from a computationally intensive, but Bayesian optimal updating procedure. Our filter performs much better than the naive approach, but of course not as good as the Bayesian optimal filter.
Design and Comparison of Vector Quantization Codebooks for Narrowband Speech Coding

Vector quantization codebook algorithms are used for coding of narrow band speech signals.Multi-stage vector quantization and split vector quantization methods are two important techniques used for coding of narrowband speech signals and these methods are very popular due to the high bit rate minimization during coding of the signals.This paper presents performance measurements of multistage vector quantization and split vector quantization methods.We used line spectral frequencies for coding of the speech signals in codebook tables so as to ensure filter stability after quantization.The codebooks were generated by using the Linde-Buzo-Gray (LBG) algorithm.The tests were performed by selecting large amount of input data in training and test stages and to evaluate noise robustness of the methods, both noisy and clean speech signals were used.As a result, different codebooks were designed and tested in many stages and different bit rates to measure quantization performance.It is measured in terms of spectral distortion evaluation.We obtained the best result in 24bit multistage vector quantization codebook with a spectral distortion less than 1 dB for clean speech training data input.When we compared multistage and split vector quantization codebook spectral distortion results, multistage codebooks gave better performance in each option.
MEMBANGUN KREATIFITAS DAN INOVATIF PESERTA DIDIK MELALUI INTERNET SEBAGAI MEDIA PEMBELAJARAN

Education always relies on an insight into well-being, namely past experiences, present-day realities and needs, and aspirations and hopes for the future. Through education, it is expected to be able to grow the ability to face the demands of the present objective, both demands from within and demands from outside the community in question Learning can be interpreted as a process of cooperation between teachers and students in utilizing all potential and resources that are both from internal potential. students themselves such as interests, talents, and basic abilities possessed including learning styles and potential that exist outside of students such as the environment, facilities and learning resources as an effort to achieve certain learning goals. The purpose of research can help in knowing the learning system, meaning that with clear objectives can help teachers in determining the subject matter, learning methods or strategies, tools, media and learning resources, and in determining and designing evaluation tools to see the success of student learning the learning process has an important function, because not all learning experiences can be obtained directly. In this situation the media can be used to provide concrete and available knowledge that is easy to understand.
2 Henry VI and the Ashford Cage

The New Oxford Shakespeare’s attribution of parts of Shakespeare’s Henry VI Part 2 to Christopher Marlowe, however contentious the methods might be, follows a long history of scholars attributing the play’s forerunner, The First Part of the Contention Betwixt the Two Famous Houses of Yorke and Lancaster to Marlowe. Edmund Malone was inclined to believe ‘that Marlowe was the author of one, if not both’ of the two early Henry VI plays, an opinion shared by Hallam, Dyce, Fleay, Swinburne, and Tucker Brooke.1 There are traditional literary/linguistic reasons why we might consider that Marlowe had a hand in 2 Henry VI, and particularly the Jack Cade scenes that comprise most of Act 4. The efficacy and reliability of the stylometric methods underlying the New Oxford Shakespeare attributions are currently under review.2 This is not surprising, given that their results are not unanimous, and sometimes conflicting. Segarra...
Bayesian Nonparametric Bivariate Meta Analysis

In the meta-analysis of clinical trials, usually the data of each trail summarized by one or more outcome measure estimates which reported along with their standard errors. In the case that summary data are multi-dimensional, usually, the data analysis will be performed in the form of a number of separated univariate analysis. In such a case the correlation between summary statistics would be ignored. In contrast, a multivariate meta-analysis model, use from these correlations synthesizes the outcomes, jointly to estimate the multiple pooled effects simultaneously. In this paper, we present a nonparametric Bayesian bivariate random effect meta-analysis.
From the Ground Up: Consortium Building Using Alma

In 2018, the Ontario Council of University Libraries (OCUL) celebrated 50 years of merging information with technology as a means of broadening Ontario’s access to rich collections of knowledge and research. In 2018, OCUL began the implementation of Alma, as a means of realizing a vision to provide users with seamless access to a diverse Ontario-wide library collection, hosted and managed from a single shared Library Service Platform (LSP). The project, aptly named Collaborative Futures, will bring thirteen Ontario university libraries into a single shared Alma/Primo implementation, setting the stage for new approaches to user services, print and electronic/digital resource management, and much more.While Collaborative Futures will use Alma as its foundation, the project will also require its members to forge a new consortium. This will require previously distinct libraries to work together in an effort to build the collective by challenging past practice, developing new ways to share information and resources, and establish multi-institutional teams to operationalize the vision. In this session, members of the Collaborative Futures Implementation Team will highlight the practical challenges of managing large scale change, and the strategies employed to bring diverse stakeholders together. Specific highlights will include: procedures for building network and institution zone policies; embracing an integrated discovery interface; sharing resources across institutions; and collaborative systems administration. The session will include an opportunity for open discussion to share success stories from from attendees and experienced consortium-builders.
Towards an Automatic Annotation of French Sign Language Videos: Detection of Lexical Signs

This paper presents an approach towards an automatic annotation system for French Sign Language (LSF). Such automation aims to reduce the processing time and the subjectivity of manual annotations done by linguists in order to study the sign language and simplify indexing for automatic signs recognition. The described system uses face and body keypoints collected from 2D RGB standard LSF videos. A naive Bayesian model was built to classify gestural units using the collected keypoints as features. We started from the observation that, for many signers, the production of lexical signs is very often accompanied by mouthing. Effectively, the results showed that the system is capable of detecting lexical signs, with highest success rate, using only information about mouthing and head direction.
An Analysis of Reading Texts

The purposes of this research is to know the readability, exploitability and suitability of content of reading materials. This research is a descriptive research. The sources of the data of this research are reading materials of recount, narrative dan procedure texts. The texts are from Look Ahead and internet. The texts are used by English teachers at first grade at first semester. The instrument that is used analysis format. Data analyzed based on indicator readability, exploitability and suitability of content.
Features of Distributional Method for Indonesian Word Clustering

We described the results of a study to determine the best features for algorithm EWSB (Extended Word Similarity Based). EWSB is a word clustering algorithm that can be used for all languages with a common feature. We provided four alternative features that can be used for word similarity computation and experimented toward the Indonesian Language to determine the best feature format for the language. We found that the best feature used in the algorithm to Indonesian EWSB is t w w' format (3-gram) with 0 (zero) word relation. Moreover, we found that using 3-gram is better than 4-gram for all the proposed features. Average recall of 3-gram is 83.50%, while the average 4-gram recall is 57.25%.
<i>New top technologies every librarian needs to know: A LITA guide</i>

"New top technologies every librarian needs to know: A LITA guide." Journal of Web Librarianship, 13(4), pp. 326–327
Las TIC en la formación del docente universitario para su praxis pedagógica

In the last two decades the advances presented in the technological area in the use of Information and Communication Technologies, plays a key role that will determine the quality of university institutions worldwide, thanks to the research contributions and to the design of new educational media that facilitate the teacher immediately in his pedagogical practice. For which a systematic review of the literature was applied, starting with 105 bibliographical references, going through two filters which were selected fifteen articles and research papers, taking as references the last five years of its publication (2013-2018) for its respective analysis. In this way, it was concluded that the majority of teachers use basic computer tools for the training process of their students. Therefore, the incorporation of new tools for the design of innovative didactic resources and being applied in the teaching and learning process is unavoidable.
一种基于SysML/MARTE/pCCSL的信息物理融合系统协同建模方法

信息物理融合系统（Cyber-Physical Systems，CPS）是一个综合计算、网络和物理环境的多维复杂系统.针对这种异构系统的建模问题一直是人们研究的重点，但是，缺乏系统性的方法来建模CPS的特性，如异构性、不确定性、软硬协同和非功能属性（Non-Functional Properties，NFP）等.提出了一种基于SysML（System Modeling Language）/MARTE（Modeling and Analysis of Real-Time and Embedded Systems）/pCCSL（p Clock Constraint Specification Language）的协同建模方法，实现了从不同视角建模CPS的不同特征，包括系统的结构、行为、时钟约束和NFP.该方法的新颖性在于使用pCCSL规约各模型之间的交互和同步，显式地建模模型之间的逻辑一致性.同时，为了捕捉CPS的特性如随机行为和连续行为，扩展了一些SysML/MARTE的元模型.最后，给出了一个智能建筑的案例以展示所提出的协同建模方法的可用性.
COMPARATIVE STUDY OF JIGSAW TECHNIQUE AND THINK-PAIR-SHARE TECHNIQUE IN READING NARRATIVE TEXT AT THE TENTH GRADE STUDENTS OF SMA YP UNILA BANDAR LAMPUNG

Tujuan penelitian ini adalah untuk mengetahui apakah ada perbedaan signifikan pada kemampuan membaca siswa setelah penerapan Jigsaw dan TPS, menemukan aspek membaca yang meningkat signifikan, dan menemukan masalah siswa dalam memahami aspek membaca melalui Jigsaw dan TPS. Penelitian ini dilakukan melalui desain kuantitatif dan kualitatif. Populasi penelitian ini adalah siswa kelas sepuluh SMA YP Unila Bandar Lampung. Hasil penelitian ini menunjukkan ada perbedaan signifikan pada kemampuan membaca siswa setelah penerapan Jigsaw dan TPS dilihat dari hasil t-value lebih besar dari t-table (1.839 > 1.677). Penelitian ini juga menunjukkan aspek yang meningkat signifikan adalah ide pokok dan informasi khusus. Selain itu, terdapat beberapa masalah yang dihadapi siswa dalam memahami aspek membaca dipengaruhi oleh prosedur Jigsaw dan TPS. The objectives of this research were to find out whether there was a significant difference of the students’ reading achievement after implementing Jigsaw and TPS, what aspects of reading that improved significantly, and the students’ problems in comprehending the aspects of reading through Jigsaw and TPS. The population of this research was the tenth grade students of SMA YP Unila Bandar Lampung. This research was done through a quantitative and qualitative design. The results indicated that there was a significant difference of the student’s reading achievement after implementing Jigsaw and TPS since t-value was higher than t-table (1.839 > 1.677). It also showed that the aspects of reading that improved significantly were main idea and specific information. Furthermore, there were some problems faced by students in comprehending aspects of reading affected by procedures of Jigsaw and TPS. Keywords: Reading Comprehension, Aspects of Reading, Jigsaw, TPS
Cardiac Tele-care

Electrocardiography is the key aspect to diagnose the cardiac malfunctions. The standard method is still cumbersome, time consuming and labor intensive. Glove based comprehensive remote physiological assessment platform will provide the benefits of telemedicine with less complicated electrode placement. Telemedicine allows patients in remote areas to access medical personnel quickly, efficiently and without travel to get proper prescriptions. This paper aims at providing an end to end IoT platform for cardiac patients that enables seamless data collection of bio-signals from various sensors and transmission of those data for diagnosis purpose.
Targeted local angle-based multi-category support vector machine

The support vector machine(SVM) is one of the most concise and efficient classification methods in machine learning. Traditional SVMs mainly handle with binary classification problems by maximizing the smallest margins. However, the real-world data are much more complicated. On the one hand, the label set usually has more than two categories, so SVMs need to be generalized for solving multi-category problems reasonably. On the other hand, there may exist one special variable which should be singled out to preserve its effect on the final results from other variables such as age in bioscience field. We name such a special variable as targeted variable. In this work, in order to take both aspects mentioned above into consideration, targeted local angle-based multi-category support vector machine(TLAMSVM) is proposed. This new model not only solves multi-category problems but also pays special attention to targeted variable. Moreover, TLAMSVM solves multi-classification in the framework of angle-based method, which provides a better interpretation from the geometrical viewpoint, and it uses local smoothing method to pool the information of targeted variable. In order to validate the classification effect of TLAMSVM model, we apply it to both simulated and real data sets, respectively, and get the expected results in numerical experiments.