Reviewerly/exHarmony huggingface dataset:
The Enlarged Kyd Canon: Comments on a Recent Study

Thomas Kyd’s reputation as a playwright rests chiefly on The Spanish Tragedy, but also on Soliman and Perseda, and Cornelia, the last a translation from the French of Robert Garnier. But Brian Vickers has a contract with Boydell and Brewer to produce, with the help of a team of scholars, an edition of Kyd’s works that will include three further plays, claimed as his alone, and two to which he is alleged to have contributed the lion’s share.1 It seems important to scrutinize the methods resulting in new attributions that, if accepted, must revolutionize historical accounts of Elizabethan drama. In a recent article, Albert C. Yang attempts to ‘validate’ the enlarged Kyd canon.2 He believes he has succeeded. I want to explain why I do not. My concern here is solely with that one publication, not with other arguments in favour of augmenting the number of Kyd’s plays, as listed in Yang’s ‘Works cited’. Yang employs ‘an information categorization method that considers rank-order frequency of all the words in texts’, though the method necessarily requires that only the frequencies of words that are shared by pairs of texts to be compared are ranked.3 The technique, which affords a measure of the likeness between texts, has previously achieved some success,4 but in this case, Yang applies it in a way that fails to demonstrate that any one of the candidates for admission to the Kyd canon—King Leir, Fair Em, Arden of Faversham, and the bulk of 1 Henry VI and Edward III—is indeed Kyd’s. The inadequacy lies in the limited range of plays used. These are the dramatic texts of the extended Kyd canon and the thirty-six Shakespeare First Folio plays plus Pericles. Cluster analysis that includes only the six whole plays accepted as by Kyd or conjecturally attributed to him places these on a different branch of a ‘phylogenetic tree’ from Shakespeare’s plays. Yang’s Figure 3 displays this tree. Supposing it gives an accurate picture of the closeness of the relationships between plays—though there are reasons for granting no such supposition, as we shall see—all it shows is that Shakespeare’s plays can be separated from the others. It does not tell us that King Leir, Fair Em, and Arden of Faversham are by Kyd. To provide evidence for that conclusion, Yang would need to have included plays by Marlowe, Greene, Peele, and others, along with (say) the eight earliest Shakespeare plays whose sole authorship is undoubted, and shown that the plays putatively Kyd’s form a separate cluster with The Spanish Tragedy, Soliman and Perseda, and Cornelia.
The Effect of Psychometric Analysis Series Training on the Item Analysis Ability of High School Teachers in Bandung

Abstract The Psychometric Analysis Series (PAS) is software developed for item analysis, which consists of item difficulty, item discrimination, distractor power, reliability and descriptive statistics of a test. This study was conducted to look at the effect of the Psychometric Analysis Series training on the Item Analysis Ability of high school teachers in Bandung. The study was conducted using a one-group pretest-posttest design. The ability of Item Analysis is measured using an instrument that is scored between 0 to 10. The training participants consisted of 35 high school teachers in Bandung. The data obtained were analyzed using the t-test. The results showed a significant increase in the ability of item analysis in the posttest compared to pretest (t = 8,777; p = 0,000). Based on these results it can be concluded that the Psychometric Analysis Series training can improve the ability of item analysis of high school teachers in Bandung.
ALL OPTICAL REVERSIBLE DATA DISTRIBUTOR

Nowadays, It became the fashion among the researchers about creating the New Reversible Gates. In the Reversible Literature, already many gates are proposed but it is the first time to propose a Gate for a decoder(Data Distributor). The proposed GLG (Garbage Less Gate) has No Garbage output which denotes its power efficiency. In this paper 2:4 reversible decoder is constructed using GLG. The proposed gate is also extended to N:2N decoder using the proposed GLG Gate and the Fredkin Gate. The theoretical proposition is verified through Optisystem &amp; Modelsim Software. A comparison with existing reversible decoders is also included.
End-to-end neural relation extraction using deep biaffine attention

© Springer Nature Switzerland AG 2019. We propose a neural network model for joint extraction of named entities and relations between them, without any hand-crafted features. The key contribution of our model is to extend a BiLSTM-CRF-based entity recognition model with a deep biaffine attention layer to model second-order interactions between latent features for relation classification, specifically attending to the role of an entity in a directional relationship. On the benchmark “relation and entity recognition” dataset CoNLL04, experimental results show that our model outperforms previous models, producing new state-of-the-art performances.
Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network

Chinese is one of the most widely used languages in the world, yet online handwritten Chinese character recognition (OLHCCR) remains challenging. To recognize Chinese characters, one popular choice is to adopt the 2D convolutional neural network (2D-CNN) on the extracted feature images, and another one is to employ the recurrent neural network (RNN) or 1D-CNN on the time-series features. Instead of viewing characters as either static images or temporal trajectories, here we propose to represent characters as geometric graphs, retaining both spatial structures and temporal orders. Accordingly, we propose a novel spatial graph convolution network (SGCN) to effectively classify those character graphs for the first time. Specifically, our SGCN incorporates the local neighbourhood information via spatial graph convolutions and further learns the global shape properties with a hierarchical residual structure. Experiments on IAHCC-UCAS2016, ICDAR-2013, and UNIPEN datasets demonstrate that the SGCN can achieve comparable recognition performance with the state-of-the-art methods for character recognition.
Implementasi Motivasi Model ARCS (Attention, Relevance, Confidence, and Satisfaction) dalam Pembelajaran Pendidikan Agama Kristen

Abstract. The purpose of this study was to describe the effectiveness of learning using ARCS motivation in Christian Religious Education subjects 1st grade of the elementary school. The design used in this study was a quasi experimental design and nonequivalent control group design method with 57 research subjects in 1st grade of Charis Christian Elementary School. Learning models with ARCS motivation design as independent variables and learning outcomes as dependent variables. Through testing the difference between independent samples T-Test between the control class and the experimental class (ARCS), it was proved that there were significant differences in learning outcomes between the experimental class and the control class t (57) = 4,050; p &lt;0.05. Based on the results of the independent sample T-Test analysis, a significant value (Sig. (2 tailed) = 0.000) was obtained between the experimental class and the control class. From the results of this study it could be concluded that the implementation of ARCS motivation design can significantly improve learning outcomes in Christian Religious Education subjects in 1st grade of the elementary school.Abstrak. Tujuan penelitian ini untuk memberikan gambaran efektivitas pembelajaran menggunakan motivasi ARCS pada mata pelajaran Pendidikan Agama Kristen di kelas 1 SD. Rancangan penelitian ini menggunakan quasi experimental design metode nonequivalent control group design dengan subyek penelitian 57 siswa kelas 1 SD Kristen Charis. Model pembelajaran dengan desain motivasi ARCS sebagai variabel bebas dan hasil belajar sebagai variabel terikat. Melalui uji perbedaan independent samples T-Test antara kelas kontrol dan kelas eksperimen (ARCS), terbukti ada perbedaan pada hasil belajar yang signifikan antara kelompok kelas eksperimen dan kelas kontrol t(57) = 4,050; p&lt;0.05. Berdasarkan hasil analisa independent sample T-Test, diperoleh nilai yang signifikan (Sig.(2 tailed)=0.000) antara kelas eksperimen dan kelas kontrol. Dari hasil penelitian ini dapat disimpulkan bahwa penerapan desain motivasi ARCS dapat secara signifikan meningkatkan hasil belajar pada mata pelajaran PAK di kelas 1 SD.
PENINGKATAN KETERAMPILAN MEMBACA PERMULAAN MELALUI MEDIA CERITA BERGAMBAR PADA ANAK KELOMPOK B DI BA A’ISYIYAH SIDOHARJO

The objectives of this classroom action research is to describe and explain the process of learning to begin with through picture stories in BA ‘Aisyiyah Sidoharjo. This type of research is collaborative classroom action research. The research model used is Kemmis and Mc. Taggart. The subjects of this class action research were group B students in BA ‘Aisyiyah sidoharjo, amounting to 17 children consisting of 10 boys and 7 girls. The object of this research is the skill of beginning reading in children through pictorial story media The data analysis technique was carried out with qualitative and quantitative descriptive. The results of research on the beginning of reading activities showed an increase, it can be seen from the results of the initial activity before the action showed 5.89%, an increase of 17.63% in Cycle I to 23.52%, and an increase of 65% so that it reached 88 , 23% in Cycle II. Based on the results of this study, it can be concluded that the activity of learning to begin reading with picture stories can improve the skills of beginning reading in children. Keywords: Early Ready, Picture story, Early Childhood
LOGISTIC REGRESSION ON THE PRIMIPARAL AGE OF WOMEN IN GOMBE, GOMBE STATE

Failure of women to undergo a successful first child delivery is becoming one of the most challenging problem and a major concern to most of our healthcare providers. In this paper, we apply the binary logistic regression analysis to investigate whether age of women at first birth have a relationship with the outcome of their delivery (Success or failure). The data was collected from Gombe Town Maternity and was subjected to analysis. From the result of the analysis, we observed that most of the women at tender age (12-17) are classified to fail (69%) during their first child delivery while most of the women at higher age (19 and above) have a better chance of succeeding during their first parturition. Also, the result shows that the average age at which women ought to conceive successfully is 19 years. The Wald statistics result also shows that the logistic regression model fits the data very well.
Application Design Implementation Scheduling Overhaul Production Machinery At PT Semen Indonesia (Persero) Tbk.

PT Semen Indonesia in its production, has a variety of machines that each day will perform a poction. With the continuous machine performance of PT Semen Indonesia will do the Overhaul of the machine owned. For now in the stage of scheduling Overhaul conducted by the company is still in a stage that lacks support because the software used can not update directly with SAP and still use Excel. In scheduling using SAP there is an issue where Software cannot determine the number of days present in the scheduling, unable to determine Shift, without filling in the PIC field and the Vendor Activity field keep running following Shift. The impact of the problem is that the process is disadvantaged at the time of the report generation and the lack of information.  With such problems the company wants to create and implement a system scheduling Overhaul production machines. In the system can determine the number of days, can determine the Shift and also application demands to provide information at the time of the report generation. Based on the test results of the Overhaul scheduling application with the Staff Department Of ICT and Staff Management Service Development, the results of the system can be easier to determine the number of days and Shift and the system can determine The selected vendor. Keyword: Website, Scheduling, production machinery, overhauls.
Predicting Seasonal Rainfall Patterns and Trends in Juba County, South Sudan Using Artificial Neural Networks

A simple Feed Forward Neural Network (FFNN) model with a learning back-propagation algorithm was applied to forecast rainfall data from 1997-2016 of Juba County, South Sudan. Annual rainfall data were aggregated into three seasons MAMJ, JAS and OND and later trained for best predictions for the period 2017-2034 using the Alyuda Forecaster XL software. Best training was attained once the minimum error or cost function of the weight was attained during gradient descent and expressed as Mean Square Error (MSE) and AE of the input variable. The results showed that for MAMJ and JAS months, the number good forecasts were over 97% whereas this was between 60-80% for OND months. The Seasonal Kendal (SK) test on future rainfall forecasts as well as the Theil-Sen slope showed a declining monotonic trend in the mean amounts in all three seasons with MAMJ, JAS at OND at 100, 150 and 80 mm respectively towards the end of 2034. Declining onset of MAMJ rains is expected to significantly affect the timing for land preparation and crop planting. The forecast accuracy of the FFNN can be used as a vital tool for decision makers in projecting future rainfall events.
Statistical Aspects of the Environment of Albanian Students Who Were Admitted to Higher Public Education Institutions in the Year 2014

The research presents a statistical analysis that characterize the environment of the admitted students to Higher Public Education Institutions, by providing an overview of student's distribution to the courses of studies offered by universities in Albania, such as, economy, medicine, technical etc., and grouping them according to the relative density of 38 (thirty eight) administrative units /districts.The aim of the research focuses on the trends that these units present in the main areas of study mentioned above.We want to if there is a connection between come and the courses of studies.So, in other words to see the trends according to district.The clustering was performed using the Ward's method of Cluster Analysis (CA Hierarchy Methodology).This research seeks to develop a very careful description in order to detect typical features and furthermore to understand the situation.The assessment combines a total analysis to a relative comparative analysis of study programs offered by universities.Also, it analysis different indicators.The analysis is based on a choice obtained from the NG 2014 (National Graduation) of Ministry of Education and Sports (MES).The soft used is SPSS Statistic 25.
Dehazing with Recovery Level Map: Suppressing Over-Enhancement and Residual Haze

Haze degrades contrast and visibility of images, thus it causes bad visibility or poor accuracy in computer vision applications. There are many dehazing methods: prior-based and data-driven methods. Prior-based methods tend to cause over-enhancement such as visual artifacts in the white regions. Data-driven methods cannot sometimes remove haze in the foreground completely. In this paper, we propose a method to suppress both over-enhancement and residual haze based on the dark channel prior (DCP). We use the clarity map as a texture feature and define the recovery level map that determines the amount of dehazing level. We use both the DCP and the recovery level map to estimate the scene transmission. As a result, our method suppresses both over-enhancement and residual haze compared with state-of-the-art dehazing methods.
Tacoma Community College Library: ENGL 101: Scoggins, N. (Fall 2021): Articles

Barriers to students attending community colleges How can I find reliable, academic articles about my topic?
Classification of optimal quaternary Hermitian LCD codes of dimension $2$

Hermitian linear complementary dual codes are linear codes whose intersection with their Hermitian dual code is trivial. The largest minimum weight among quaternary Hermitian linear complementary dual codes of dimension $2$ is known for each length. We give the complete classification of optimal quaternary Hermitian linear complementary dual codes of dimension $2$.
“Portfolio” as a Form of Organizing Philological Students’ Autonomous Work under Conditions of Competence-Based Education

The article examines the problems of organizing higher school students’ autonomous work. The authors propose the ways to raise the efficiency of philological students’ autonomous work under the conditions of the competence-based paradigm, analyse portfolio as a modern multi-aspect didactic conception and reveal its potential for organizing students’ autonomous work. The paper emphasizes bilateral nature of the portfolio formation process and specifies the didactic tasks the student and the teacher come across while preparing a portfolio.
Semi-Counterfactual Quantum Bit Commitment Protocol

A semi-counterfactual quantum bit commitment (SCQBC) protocol is presented here for the first time, which makes use of counterfactual property. Similar to a counterfactual quantum key distribution scheme, half-photons are not transmitted through the quantum channel in our proposed protocol. In the SCQBC protocol, Bob, the verification party of the quantum bit commitment (QBC), sends the states while Alice, the commitment party, receives. Since Alice cannot receive all the states and entangle the commit bits with the verifier's registers, it is not subject to Mayers' and Lo-Chau's no-go theorem. In addition, a general bit commitment framework can be extracted from the SCQBC scheme, which opens up a new class of cryptographic protocols in counterfactual cryptography.
LibGuides: AU Libraries Remote Support: Video Streaming Options

The AU Libraries will continue supporting the faculty and students of Alfred University during our response to COVID-19. Campus Video Streaming
ОСНОВНІ ХАРАКТЕРИСТИКИ СУТНОСТІ ТА ЗМІСТУ ПОНЯТТЯ ІНДИВІДУАЛЬНОЇ ОСВІТНЬОЇ ТРАЄКТОРІЇ СТУДЕНТА В ПРОЦЕСІ ПРОФЕСІЙНОЇ ПІДГОТОВКИ

&#x0D; &#x0D; &#x0D; The author provided the theoretical grounding of the essential characteristics of the concept of “individual educational trajectory”. Based on the logem of the system of the methodological approaches (holistic- emergent, humanitarian, axiological, trans-communicative, personal- activity, praxeological, projected, competent, creative-acmeological), she formulated the definition of the individual educational trajectories of the future teachers of the music art and she outlined briefly the structural content of the research question which is represented with two blocks: personal potential (motivational-value, personal-experience, orientation- cognitive, communicative reflexive and regulatory components) and its realization in the educational activities.&#x0D; &#x0D; &#x0D;
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text

Chinese word segmentation is necessary to provide word-level information for Chinese named entity recognition (NER) systems. However, segmentation error propagation is a challenge for Chinese NER while processing colloquial data like social media text. In this paper, we propose a model (UIcwsNN) that specializes in identifying entities from Chinese social media text, especially by leveraging ambiguous information of word segmentation. Such uncertain information contains all the potential segmentation states of a sentence that provides a channel for the model to infer deep word-level characteristics. We propose a trilogy (i.e., candidate position embedding -> position selective attention -> adaptive word convolution) to encode uncertain word segmentation information and acquire appropriate word-level representation. Experiments results on the social media corpus show that our model alleviates the segmentation error cascading trouble effectively, and achieves a significant performance improvement of more than 2% over previous state-of-the-art methods.
Conception of Time in Max Richter’s Re-Composed Version of Antonio Vivaldi’s Masterpiece

The article presents the results of studying the implementation of artistic time in the XXI-century music by the example of Max Richter’s re-composed version of Antonio Vivaldi’s cycle “The Four Seasons”. Analysing the intertextual dialogue of baroque and modernity, the paper examines the process of creating a new composition with the original conception of time. In Richter’s composition, the techniques of an old-fashioned instrumental concert as signs of the bygone age are adjusted to modern culture, they interact with minimalism, rock and electronic music, ambient style. As a result, in the re-composed version of “The Four Seasons”, artistic time is represented as multidimensional or multi-layered, where the past and the present are equally relevant.
Sparse Online Locally Adaptive Regression using Gaussian Processes for Continual Robot Model Learning and Control

Author(s): Wilcox, Brian Phillip | Advisor(s): Yip, Michael | Abstract: Machine learning methods have been explored more recently for robotic control, though learning the inverse mapping from sensor outputs to joint inputs in real time remains challenge for real-time control, particularly in the task of teleoperation, where commands and sensor data are received in sequential streams. In this thesis, we explore recent advances in Gaussian Processes and aim to achieve online model-learning and control for a teleoperation task on a real robot. We combine sparse, local, and streaming methods to form Sparse Online Locally Adaptive Regression using Gaussian Processes (SOLAR GP), which trains streaming data on localized sparse Gaussian Process models and infers a weighted local function mapping of the robot sensor states to joint states. The resultant prediction of the teleoperation command is used for joint control. The algorithm was adapted to perform on arbitrary link manipulators including the Baxter robot, where modifications to the algorithm are made to run training and prediction in parallel. This framework allows for a user-defined cap on complexity of generated local models while retaining information on older regions of the explored state-space.
High Accuracy Driver Identification and Status Monitoring System Research

Abstract In this paper a driver’s identity authentication and condition monitoring system will be proposed, which mainly includes two parts: identity authentication and status monitoring. The driver’s facial features are extracted by the convolutional neural network, and then the feature dimensions are compressed to reduce calculation. All the vectors composed of these features will be matched with the face database in the local library, and only matched person is able to start the car. After authentication a camera will collect images of the face as well as its surroundings in real time. Later features are extracted, the vectors composed of these features are used to iteratively update the parameters of Bayesian classifier, thereby following the face position in real time, and according to the track of face motion determines whether the driving state is safe.
Relevance of Pedagogical Model of the Russian neo-Kantianism (S. I. Hessen and F. A. Stepun)

The article examines pedagogical theory formation in domestic neo-Kantian philosophy of the end of the XIX - the first third of the XX century. Special attention is paid to S. I. Hessen’s conception of moral education based on the individual approach in pedagogy: from preschool to extracurricular stage. The author identifies similarity of S. I. Hessen’s and F. A. Stepun’s views on the issue of realization of freedom of creativity under conditions of institutional education. Finally, the paper analyses the possibility of implementing the pedagogical model of the Russian neo-Kantianism within the framework of the information society.