Reviewerly/exHarmony huggingface dataset:
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT

By introducing a small set of additional parameters, a probe learns to solve specific linguistic tasks (e.g., dependency parsing) in a supervised manner using feature representations (e.g., contextualized embeddings). The effectiveness of such probing tasks is taken as evidence that the pre-trained model encodes linguistic knowledge. However, this approach of evaluating a language model is undermined by the uncertainty of the amount of knowledge that is learned by the probe itself. Complementary to those works, we propose a parameter-free probing technique for analyzing pre-trained language models (e.g., BERT). Our method does not require direct supervision from the probing tasks, nor do we introduce additional parameters to the probing process. Our experiments on BERT show that syntactic trees recovered from BERT using our method are significantly better than linguistically-uninformed baselines. We further feed the empirically induced dependency structures into a downstream sentiment classification task and find its improvement compatible with or even superior to a human-designed dependency schema.
Exploring Factors Affecting the Emotions of Middle School Students toward Using Digital Textbooks

The purpose of this study is to investigate the emotions of students toward using digital textbooks, and to examine the factors affecting the emotions. Also, this study examined the relationship between the factors of individual characteristics and computer usage, students’ emotions, and the perceived learning effects. For this study, 2,950 1st grade middle school students participated in a survey which measured individual characteristics, computer usage behavior, emotions toward using digital textbooks, and perceived learning effects of digital textbooks. The results showed that positive emotions toward using digital textbooks were higher than negative emotions. The factors that affect student's positive emotions were intrinsic motivation, self-regulated learning, and student's use of computers for learning and entertainment. Digital textbook efficacy was the most influential factor that affects students’ negative emotions, and computer addiction was also related to negative emotions. Regarding the perceived learning effects, intrinsic motivation, and self-regulated learning were related to more positive perceptions of learning effects. Although, the strongest predictor of positive perceptions of learning effects was student's positive emotions toward using digital textbooks.
Gleason Score Prediction using Deep Learning in Tissue Microarray Image

Prostate cancer (PCa) is one of the most common cancers in men around the world. The most accurate method to evaluate lesion levels of PCa is microscopic inspection of stained biopsy tissue and estimate the Gleason score of tissue microarray (TMA) image by expert pathologists. However, it is time-consuming for pathologists to identify the cellular and glandular patterns for Gleason grading in large TMA images. We used Gleason2019 Challenge dataset to build a convolutional neural network (CNN) model to segment TMA images to regions of different Gleason grades and predict the Gleason score according to the grading segmentation. We used a pre-trained model of prostate segmentation to increase the accuracy of the Gleason grade segmentation. The model achieved a mean Dice of 75.6% on the test cohort and ranked 4th in the Gleason2019 Challenge with a score of 0.778 combined of Cohen's kappa and the f1-score.
Regularized Estimation of Information via High Dimensional Canonical Correlation Analysis

In recent years, there has been an upswing of interest in estimating information from data emerging in a lot of areas beyond communications. This paper aims at estimating the information between two random phenomena by using consolidated second-order statistics tools. The squared-loss mutual information is chosen for that purpose as a natural surrogate of Shannon mutual information. The rationale for doing so is developed for i.i.d. discrete sources -mapping data onto the simplex space-, and for analog sources -mapping data onto the characteristic space-, highlighting the links with other well-known related concepts in the literature based on local approximations of information-theoretic measures. The proposed approach gains in interpretability and scalability for its use on large datasets, providing physical interpretation to the free regularization parameters. Moreover, the structure of the proposed mapping allows resorting to Szegö's theorem to reduce the complexity for high dimensional mappings, exhibiting strong dualities with spectral analysis. The performance of the proposed estimators is analyzed using Gaussian mixtures.
Clustering via torque balance with mass and distance

Grouping similar objects is a fundamental tool of scientific analysis, ubiquitous in disciplines from biology and chemistry to astronomy and pattern recognition. Inspired by the torque balance that exists in gravitational interactions when galaxies merge, we propose a novel clustering method based on two natural properties of the universe: mass and distance. The concept of torque describing the interactions of mass and distance forms the basis of the proposed parameter-free clustering algorithm, which harnesses torque balance to recognize any cluster, regardless of shape, size, or density. The gravitational interactions govern the merger process, while the concept of torque balance reveals partitions that do not conform to the natural order for removal. Experiments on benchmark data sets show the enormous versatility of the proposed algorithm.
GATS AGREEMENT AND ITS EXPECTED IMPACT ON THE IRAQI BANKING SECTOR

Agreement with the World Bank (GATS) in the international banking environment that operates in the field of human resources management in the outside world.(WTO) This means in all agreements, including the International Trade Agreement (GATS) for banking services.Is it possible to access the financial and banking markets easily?And then out of the state of weakness suffered by Iraqi banks.
A Comparative Study of Image Quality Assessment Models through Perceptual Optimization

The performance of objective image quality assessment (IQA) models has been evaluated primarily by comparing model predictions to human quality judgments. Perceptual datasets gathered for this purpose have provided useful benchmarks for improving IQA methods, but their heavy use creates a risk of overfitting. Here, we perform a large-scale comparison of IQA models in terms of their use as objectives for the optimization of image processing algorithms. Specifically, we use eleven full-reference IQA models to train deep neural networks for four low-level vision tasks: denoising, deblurring, super-resolution, and compression. Subjective testing on the optimized images allows us to rank the competing models in terms of their perceptual performance, elucidate their relative advantages and disadvantages in these tasks, and propose a set of desirable properties for incorporation into future IQA models.
ПРОЕКТ ЛИЧНОГО КАБИНЕТА ЭЛЕКТРОННОГО ИЗДАТЕЛЬСТВА НА ПЛАТФОРМЕ 1С-БИТРИКС

The article is devoted to the demand among readers of the electronic format of books. The author describes the advantages and disadvantages of e-books and publishers before printed ones. Special attention is paid to the personal account, which allows the author to interact with the publisher. The interface of the site and personal account of the publisher is described. On the basis of the result obtained, the results are summarized.
Higher Education Social Engineering Attack Scenario, Awareness & Training Model

In today’s information security ecosystem, hackers and threat actors are increasingly using social engineering tactics to circumvent advanced technical security technologies. While every year there are vast leaps in technical security systems, one critical dynamic, the human psychology still needs a dire upgrade to their operating system. The human dynamic and our innate psychological processing algorithms need a new approach to mitigate social engineering attacks. Higher education institutions are prime target for social engineering engagement missions as they house a large diverse population of faculties, students, alumni, and employees in their ecosystem. This diversity paired with increasing inclusion of international individuals only expands the existing dynamic vulnerable landscape, thereby requiring innovative methods to secure it. In this paper, the authors utilize an existing framework to develop nine specialized and publicly available social engineering attack scenarios geared toward a higher education environment. The paper also proposes preliminary models for social engineering awareness and training to combat such attacks. The effectiveness of the proposed models will be assessed by comparing pre- and post- awareness surveys as part of the future work.
Exploring an Agile Plus Approach for Project Scope, Time, and Cost Management

Managing project scope, time, and cost in an agile project planning are considered to be key influencing factors for a project's success. A large quantum of work and literature shows how agile with its iterative project execution methodology has produced a large number of successful projects over the last two decades, especially in the IT sector. However, the concern regarding applicability of this highly successful project execution methodology in industrial sectors other than IT has been a question to which researchers are trying to find an answer. The solution to this problem would require covering all aspect of project management through which an answer for its applicability could be provided. This study identifies the possible issues and proposes an agile plus limited to scope, time, and cost knowledge area of project management. The results are obtained from the extensive empirical findings gathered using literature study, interviews, and surveys. Further, the empirical findings and proposed model are quantitatively validated, which came out to be in accordance with the literature and empirical findings.
SISTEM PEMANTAUAN KUALITAS UDARA MENGGUNAKAN CLOUD APPLICATION BLUEMIX

Air pollution monitoring is a method used to determine air quality at particular location. The air quality assessment system through internet provides realtime air quality information. The objective of the use of microcontroller and sensors on the system is to measure levels of contaminants in the air. So it is able to provide information about air quality at a point in the area as well as the harmful content in it. In this design, a Bluemix cloud service from IBM was also implemented to provide data access for users anywhere and anytime using a browser or Android- based application.
A Novel Method for CCSDS-TC Recognition

The continuing development of space network communication has put forward higher requirements to space data communication. At the same time, the complicated CCSDS (Consultative Committee for Space Data Systems) network protocol hosting relationships has made the protocol recognition work become more and more difficult. In this paper, we introduced a recognition model to distinguish CCSDS-TC based on its data features in data link protocol sublayer together with synchronization and channel coding sublayer. In the process of feature recognition, signification degrees and feature weights are applied to improve the recognition accuracy. From the experiment results we can find that the proposed method can distinguish CCSDS-TC from other protocols significantly.
Scientific and methodological analysis of educational material on physics in studying the topic "electromagnetic phenomena" in grades 8 and 9

The relevance of the study of the topic “Electromagnetic phenomena” lies in the widespread implementation of this scientific direction in various spheres of human activity. A content analysis of the various authors’ textbooks, historical background, theoretical and practical components necessary for studying electromagnetic phenomena in physics by pupils of 8–9 grades are defined. The possibilities of education material for formation of scientific worldview and development of physical thinking in schoolchildren are considered. There are intersubject and intrasubject communications of education material with other topics (in physics) and disciplines.
COMO POSSO TE ACHAR NO FACEBOOK? VOCÊ ME ACHA COMO... QUESTÕES SOBRE METONÍMIA, MODERNIDADE LÍQUIDA E EMOÇÃO NA ANTROPONÍMIA

portuguesResumo: Apresentamos resultados de um estudo que objetivou, principalmente, refletir sobre o uso de antroponimos criativos no Facebook. Para embasar a discussao, empregamos, como norte teorico, a Linguistica Cognitiva, dialogando com autores como Lakoff (1987), por compreendermos que a metonimia alicerca a criacao desses antroponimos. Ademais, considerando a natureza interdisciplinar dessa area, trouxemos Bauman (2005), para as discussoes, por entendermos que a modernidade liquida, tambem, interfere no seu uso, assim como dialogamos com Damasio (2011), por acreditarmos que as emocoes os geram. No âmbito metodologico, adotamos a abordagem qualitativa e hermeneutica do corpus que, por sua parte, foi constituido por antroponimos coletados da referida rede social. Estabelecemos tres categorias de estudo: Metonimias convencionais; Metonimias nao convencionais e Antroponimia, emocao, identidade e tempos liquidos. Concluimos, entre outros resultados, que a metonimia e, de fato, o mecanismo que estrutura essa antroponimia e que as mulheres sao mais propensas ao seu uso. EnglishAbstract: We´ve presented results from a study that aimed, mostly, reflect about the use of creative anthroponyms on Facebook. To support the discussion, we used, as theoretical north, Cognitive Linguistic, dialoguing with authors such as Lakoff (1987), for comprehending that metonymy supports the creation of these anthroponyms. Moreover, considering the interdisciplinary nature of this area, we have brought Bauman (2005), for the discussions, because we understand that liquid modernity also interferes with its use, as we dialogue with Damasio (2011), because we believe that emotions generate them. In the methodological scope, we adopted the qualitative and hermeneutical approach of the corpus, which, for its part, was constituted by anthroponyms collected from said social network. We established three categories of study: Conventional metonymy; Unconventional metonymy and anthroponymy, emotion, identity and liquid times. We conclude, among other results, that metonymy is, in fact, the mechanism that structures this anthroponymy and that women are more prone to its use.
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations.

Recent advances in the field of saliency have concentrated on fixation prediction, with benchmarks reaching saturation. However, there is an extensive body of works in psychology and neuroscience that describe aspects of human visual attention that might not be adequately captured by current approaches. Here, we investigate singleton detection, which can be thought of as a canonical example of salience. We introduce two novel datasets, one with psychophysical patterns and one with natural odd-one-out stimuli. Using these datasets we demonstrate through extensive experimentation that nearly all saliency algorithms do not adequately respond to singleton targets in synthetic and natural images. Furthermore, we investigate the effect of training state-of-the-art CNN-based saliency models on these types of stimuli and conclude that the additional training data does not lead to a significant improvement of their ability to find odd-one-out targets.
PENERAPAN KOLABORASI MODEL PEMBELAJARAN DIRECT INSTRUCTION DENGAN JIGSAW UNTUK MENINGKATKAN MOTIVASI DAN HASIL BELAJAR SISWA PADA MATERI PENGELOLAAN KARTU PIUTANG

Abstrak: Penelitian ini bertujuan untuk mengetahui peningkatan motivasi belajar siswa pada materi Pengelolaan Kartu Piutang di kelas XI AKL SMK Negeri 1 Sidikalang melalui penerapan kolaborasi pembelajaran Direct Instruction dengan Jigsaw, mengetahui peningkatan hasil belajar siswa pada materi Pengelolaan Kartu Piutang di kelas XI AKL SMK Negeri 1 Sidikalang. Penelitian ini menggunakan metode Penelitian Tindakan Kelas (Action Research). Penerapan model pembelajaran Direct Instruction dengan Jigsaw membuktikan peningkatan hasil belajar siswa, terlihat dari postest siklus I nilai rata-rata siswa 66,25 dan pada postes siklus II nilai rata-rata 76,66 maka nilai rata-rata mengalami peningkatan sebesar 10,41 poin. Dari persentase ketuntasan secara klasikal dapat dilihat bahwa pada siklus I terdapat 19,45 % siswa yang tuntas secara klasikal dan pada siklus II meningkat menjadi 88,89%. Jadi kriteria ketuntasan secara klasikal sebesar 85% telah terpenuhi. Dengan menerapkan model pembelajaran Direct Instruction dengan Jigsaw pada siswa kelas XI AKL di SMK Negeri 1 Sidikalang T.P 2018/2019 menunjukkan peningkatan motivasi dan hasil belajar siswa pada Materi Pengelolaan Kartu Piutang yang signifikan dari siklus I ke siklus II. Kata Kunci: kolaborasi, model pembelajaran, direct instruction, jigsaw, motivasi belajar, hasil belajar, pengelolaan kartu piutang. Abstract: This study aims to find out the increase in student learning motivation on the Material of Credit Card Management in class XI AKL Vocational High School 1 Sidikalang through the implementation of Direct Instruction learning collaboration with Jigsaw, find out the increase in student learning outcomes in the Material of Credit Card Management in Class XI AKL Vocational High School 1 Sidikalang. This research uses the Classroom Action Research (Action Research) method. The application of the Direct Instruction learning model with Jigsaw proves an increase in student learning outcomes, seen from the first post-test cycle the average value of students is 66.25 and in the post-second cycle the average value is 76.66 then the average value has increased by 10.41 points . From the percentage of completeness classically it can be seen that in cycle I there were 19.45% of students who finished classically and in cycle II it increased to 88.89%. So the classical completeness criteria of 85% has been met. By applying the Direct Instruction learning model with Jigsaw in class XI AKL students at Vocational High School 1 Sidikalang T.P 2018/2019 showed a significant increase in student motivation and learning outcomes in the Material Management of Receivable Cards from cycle I to cycle II. Keywords: collaboration, learning model, direct instruction, jigsaw, learning motivation, learning outcomes, credit card management.
Curious Hierarchical Actor-Critic Reinforcement Learning

Hierarchical abstraction and curiosity-driven exploration are two common paradigms in current reinforcement learning approaches to break down difficult problems into a sequence of simpler ones and to overcome reward sparsity. However, there is a lack of approaches that combine these paradigms, and it is currently unknown whether curiosity also helps to perform the hierarchical abstraction. As a novelty and scientific contribution, we tackle this issue and develop a method that combines hierarchical reinforcement learning with curiosity. Herein, we extend a contemporary hierarchical actor-critic approach with a forward model to develop a hierarchical notion of curiosity. We demonstrate in several continuous-space environments that curiosity can more than double the learning performance and success rates for most of the investigated benchmarking problems. We also provide our source code and a supplementary video.
Out-of-the-box solutions needed

The current crisis has somewhat highlighted the need to incorporate edutech within the mainstream education system.
Approaches for deployment and access of content in delivery portals

In the field of Technical Communication the focus has always been on supporting users in their search for information in a way that is appropriate for the target group. Products are becoming more and more complex, current standards require manufacturers to provide up-to-date Technical Documentation and digitalization is advancing rapidly. Content Delivery Portals offer new possibilities to provide information in a timely and user-friendly manner. They make it possible to provide the user with web-based, target-group specific information through navigation with facets and presents a new possible use of search engines in Technical Documentation. This paper deals with different possibilities on how content can be deployed and accessed for the user. The approaches are implemented in tools that are already on the market to illustrate the possibilities of deployment and access on real-life circumstances. In addition, an outlook is given on what the conceptual implementation of microDocs might look like.
A Psychosocial Development of a Young Adult Character in Thirteen Reasons Why Novel

This study analyzes a young adult protagonist character Clay Jensen in Thirteen Reasons Why novel by Jay Asher (2007). The present research investigates the main character’s psychosocial development. The novel tells a journey of Clay Jensen who struggles to listen to a series of tapes that reveal reasons why his crush, Hannah Baker, committed suicide in Hannah’s voice. The way Clay reflects his emotions and responses to the tapes interest the researcher to analyze his psychosocial development, specifically the psychological and social characteristics. The purposes of this study are to enlist Clay Jensen’s psychosocial issues and to discover how he copes with these issues as part of psychosocial development. This textual analysis applied Bucher and Hinton’s (2010) developmental characteristics of young adults; the analysis explored Clay Jensen’s narrative events that embody the ideas of psychosocial issues and how he deals with the psychosocial issues. It is concluded that Clay Jensen develops psychosocially because he experiences some psychosocial issues such as anxiety and low self-esteem, but he is able to cope with these issues. Clay Jensen is also a round character who develops himself from being selfish to be a more sympathetic person.;---Penelitian ini menyelidiki perkembangan psikososial tokoh remaja Clay Jensen dalam novel Thirteen Reasons Why oleh Jay Asher (2007). Penelitian ini bersifat analisis tekstual. Novel tersebut menceritakan perjalanannya, yang berjuang juga bertahan dengan mendengarkan serangkaian kaset yang mengungkapkan alasan mengapa Hannah Baker, orang yang Clay Jensen suka, bunuh diri dalam sudut pandang Hannah Baker yang disampaikan melalui kaset-kaset tersebut. Cara Clay merefleksikan emosi dan tanggapannya terhadap kaset-kaset tersebut karena ia juga dituduh sebagai penyebab kematiannya membuat peneliti tertarik untuk melihat perkembangan psikososialnya yang mencakup karakteristik psikologis dan sosial. Menemukan masalah-masalah psikososial Clay Jensen dan upayanya mengatasi masalah-masalah tersebut merupakan tujuan dari penelitian ini untuk melihat perkembangan psikososialnya. Penelitian ini juga mengaplikasikan teori perkembangan remaja (young adults) oleh Bucher dan Hinton (2010). Kesimpulannya, Clay Jensen berkembang secara psikososial sebagaimana ia mengalami beberapa masalah psikososial contohnya kecemasan dan rasa akan harga diri yang rendah, namun ia tetap mampu mengatasi masalah-masalah psikososial tersebut. Clay Jensen juga berubah menjadi orang yang lebih simpatik dalam berinteraksi dengan orang lain.