Reviewerly/exHarmony huggingface dataset:
Dialectics as a speech characteristic means within a stage image creating

The purpose of the article is to highlight dialecticism as one of the means of speech characteristic and substantiate the expediency of its use in the creating process of a stage image by dramatic actors. The methodology of the research is to use systemic and comparative methods, which have allowed to emphasize the importance of individual verbal principles in the process of preparation and implementation of roles by performers. At the same time, this approach has allowed making a comparative analysis between the dialectical and literary language in lines during the stage action. The scientific novelty lies in the awareness and learning of the use of dialects by dramatic actors as one of the main features of speech characteristic that complies with the demands of theatrical practice. For the first time, the performing play has been examined in terms of orthoepy modification. It is stipulated that the implementation of the study of dialects as an acting profession component into the educational process of theatrical institutions is advisable. Conclusions: the use of various approaches to acting pronunciation: reorganization of the speech apparatus from a conversational manner to a vocal, recitative one; the transfer of the essence of the text at the rhythmic-melodic level, dynamic and sound-high-altitude range with emotional-sensory mobility of language can really facilitate versatile knowledge, the disclosure of an author’s word with local modifications of a common language.
Wise Use of Code Comments

Comments help you understand other people’s code. They can describe the logic behind the code. Expert programmers are particular about comments, however. They do not like to see unnecessary comments, for various reasons, which we will discuss. You may or may not agree with all these points of view. The different case studies included in this chapter can help you decide whether to put a comment in your application.
A Discrete Joint Model for Entity and Relation Extraction from Clinical Notes.

Extracting clinical concepts and their relations from clinical narratives is one of the fundamental tasks in clinical natural language processing. Traditional solutions often separate this task into two subtasks with a pipeline architecture, which first recognize the named entities and then classify the relations between any possible entity pairs. The pipeline architecture, although widely used, has two limitations: 1) it suffers from error propagation from the recognition step to the classification step, 2) it cannot utilize the interactions between the two steps. To address the limitations, we investigated a discrete joint model based on structured perceptron and beam search to jointly perform named entity recognition (NER) and relation classification (RC) from clinical notes.
SEMIOTIC ANALYSIS OF IDIOMATIC IN THE MAZE RUNNER: THE DEATH CURE MOVIE

This research discussed the semiotic analysis of idiomatic expressions found in The Maze Runner: The Death Cure movie by Wess Ball and its impact on English. This research aimed to find idiomatic expressions revealed in the dialogue in the movie; to find the meaning of symbols contained idiomatic expressions in dialogues; to find the impact of semiotic analysis in idiomatic expressions found in movie. In this research, researchers used qualitative research in the type of content analysis using descriptive approach to help the analysis of the data that found in the movie. The researchers looked for idiomatic expressions in the movie and symbols of idiomatic expressions. Finally, researchers reveal the impact of semiotic analysis in idioms found in movie on English. From the results, there are 59 idiom expressions divided into lexemic and sememic idioms. From lexemic idiom found 37 phrasal verbs; 2 irreversible binomials; 10 phrasal compounds; and 1 incorporating verb. From the sememic idiom found 2 idioms of politeness; 1 idiom of detachment; 4 idioms of greeting; and 2 famous quotations idioms. There are 26 symbols from 59 idiom expression in the movie. Its effects on English make students more fluent in English and look like native speakers, add new vocabulary, make students aware of cultural differences in language, and know more about meaning.
Development of Interactive E-Book in Cube and Cuboid for 8th Grade Junior High School Students

Abstract Indonesia developed an e-book named BSE as a learning source for students to study cube and cuboid to keep up with the trend of technological development. BSE, however, still has weakness that could be improved. The innovation could be done by combining interactive multimedia and e-book. Interactive multimedia had many features, such as video, audio, animation, etc, which could help student when learning about cube and cuboid. This study aims to know the developing proccess and produce an interactive e-book with some criteria called validity, practicality, and effectivity. Subject for this study was 6 students from 8th grade. This study was carried out using plomp model with four phase. First, initial investigation that consists of curriculum, material, and student need analysis. Second, design that consists of content, display, and instrument design. Third, realization, that consists of product development named prototype-I. Forth, test, evaluation, and revision that consists of interactive e-book validation by validator, revision, and trials. The result of this study was interactive e-book about cube and cuboid for student in 8th grade. That interactive e-book was a good media, because it was satisfy valid with score 2,94; practical with score 83,85%; and effective with score 83,33%. Keywords: interactive e-book, interactive multimedia, cube and cuboid
Review Optimized Artificial Neural Network by Meta-Heuristic Algorithm and its Applications

A Meta-Heuristic Algorithms Optimization (MAHO) is inspired by nature. The Artificial neural network (ANN) has been shown to be successful in a variety of applications, including machine learning. ANNs were optimized using meta-optimization methods to enhance classification performance and predictions. The fundamental objective of combining a meta-heuristic algorithm (MHAO) with an artificial neural network (ANN) is to train the network to update the weights. The training would be speedier than with a standard ANN since it will use a meta-heuristic method with global optimal searching capability to avoid local minimum and will also optimize difficult problems. will discuss some of these meta-heuristic algorithms using ANN as they are applied to common data sets, as well as real-time specific classification and prediction experiences. In order to give researchers motivational insights into their own fields of application.
General-Purpose Question-Answering with Macaw

Despite the successes of pretrained language models, there are still few high-quality, general-purpose QA systems that are freely available. In response, we present Macaw, a versatile, generative question-answering (QA) system that we are making available to the community. Macaw is built on UnifiedQA, itself built on T5, and exhibits strong performance, zero-shot, on a wide variety of topics, including outperforming GPT-3 by over 10% (absolute) on Challenge300, a suite of 300 challenge questions, despite being an order of magnitude smaller (11 billion vs. 175 billion parameters). In addition, Macaw allows different permutations ("angles") of its inputs and outputs to be used, for example Macaw can take a question and produce an answer; or take an answer and produce a question; or take an answer and question, and produce multiple-choice options. We describe the system, and illustrate a variety of question types where it produces surprisingly good answers, well outside the training setup. We also identify question classes where it still appears to struggle, offering insights into the limitations of pretrained language models. Macaw is freely available, and we hope that it proves useful to the community. Macaw is available at https://github.com/allenai/macaw
Efficient Action Recognition Using Confidence Distillation

Modern neural networks are powerful predictive models. However, when it comes to recognizing that they may be wrong about their predictions, they perform poorly. For example, for one of the most common activation functions, the ReLU and its variants, even a well-calibrated model can produce incorrect but high confidence predictions. In the related task of action recognition, most current classification methods are based on clip-level classifiers that densely sample a given video for non-overlapping, same-sized clips and aggregate the results using an aggregation function - typically averaging - to achieve video level predictions. While this approach has shown to be effective, it is sub-optimal in recognition accuracy and has a high computational overhead. To mitigate both these issues, we propose the confidence distillation framework to teach a representation of uncertainty of the teacher to the student sampler and divide the task of full video prediction between the student and the teacher models. We conduct extensive experiments on three action recognition datasets and demonstrate that our framework achieves significant improvements in action recognition accuracy (up to 20%) and computational efficiency (more than 40%).
Pengaruh Pola Asuh Orangtua dan Pergaulan Teman Sebaya terhadap Motivasi Belajar Siswa di Desa Wedoro

The purpose of this research : 1) The effect of parenting on students' learning motivation in Wedoro Village. 2) The influence of peer interaction on student motivation in Wedoro village. 3) The influence of parenting styles and peer relationships on student motivation in Wedoro village. This research is a type of quantitative research conducted by collecting data in the form of numbers. The population in this study were 56 students in the Wedoro Village. The sample in this study is less than 100, so all the population will be taken as many as 56 students in Wedoro Village, Penawangan District, Grobogan Regency. The required data is obtained through a questionnaire. The data analysis technique used is multiple linear regression analysis, t test, F test, and relative and effective contribution. The results of the regression analysis obtained the regression line equation: Y = 13,191 + 0,367 X1 + 0,355 X2. The conclusions of this study are: 1) There is an effect of parenting style on learning motivation. This is evident from the t test obtained by tcount> ttable, namely 3.763> 2.021 and a significance value ttable, namely 3.028> 2.021 and a significance value Ftable which is 17.966> 3,230 and a significance value <0.05, which is 0,000 and the coefficient of determination is 0.404 or 40.4%, while the rest is influenced by other variables.
AI for Human Capital Management and Development

Human capital development is the key factor to deal with the transformation of disruptive technology where AI will become the wave of change in the fourth industrial revolution. By then, the behavior and attitude of individuality will have been affected by the high speed of change. Therefore, the expert team, the innovation concept, the thinking design, the mind map and the mind – set must be rapidly re – arranged from Big data, the machine learning, AI, internet of fintech, mobile banking, social banking virtual reality, and simulation must be introduced for learning and training to develop the human capital management, for both public and private organizations. This paper will focus on AI and robots will come to replace workers as helper to manager and staff in the office. AI will be the factor impacting the Labor force, the personnel managers and productive procedures. If we are not able to cope with change, those said managers and workers will be a useless class of people.
The Phonexia VoxCeleb Speaker Recognition Challenge 2021 System Description

We describe the Phonexia submission for the VoxCeleb Speaker Recognition Challenge 2021 (VoxSRC-21) in the unsupervised speaker verification track. Our solution was very similar to IDLab's winning submission for VoxSRC-20. An embedding extractor was bootstrapped using momentum contrastive learning, with input augmentations as the only source of supervision. This was followed by several iterations of clustering to assign pseudo-speaker labels that were then used for supervised embedding extractor training. Finally, a score fusion was done, by averaging the zt-normalized cosine scores of five different embedding extractors. We briefly also describe unsuccessful solutions involving i-vectors instead of DNN embeddings and PLDA instead of cosine scoring.
Quadratic residue codes, rank three groups and PBIBDs

The automorphism group of the Zetterberg code Z of length 17 (also a quadratic residue code) is a rank three group whose orbits on the coordinate pairs determine two strongly regular graphs equivalent to the Paley graph attached to the prime 17. As a consequence, codewords of a given weight of Z are the characteristic vectors of the blocks of a PBIBD with two associate classes of cyclic type. More generally, this construction of PBIBDs is extended to quadratic residue codes of length $$\equiv 1 \pmod {8},$$ to the adjacency codes of triangular and lattice graphs, and to the adjacency codes of various rank three graphs. A remarkable fact is the existence of 2-designs held by the quadratic residue code of length 41 for code weights 9 and 10.
ATLAS: Efficient and Scalable MPC in the Honest Majority Setting.

In this work, we address communication, computation, and round efficiency of unconditionally secure multi-party computation for arithmetic circuits in the honest majority setting. We achieve both algorithmic and practical improvements:The best known result in the semi-honest setting has been due to Damgard and Nielsen (CRYPTO 2007). Over the last decade, their construction has played an important role in the progress of efficient secure computation. However despite a number of follow-up works, any significant improvements to the basic semi-honest protocol have been hard to come by. We show \(33\%\) improvement in communication complexity of this protocol. We show how to generalize this result to the malicious setting, leading to the best known unconditional honest majority MPC with malicious security.We focus on the round complexity of the Damgard and Nielsen protocol and improve it by a factor of 2. Our improvement relies on a novel observation relating to an interplay between Damgard and Nielsen multiplication and Beaver triple multiplication. An implementation of our constructions shows an execution run time improvement compared to the state of the art ranging from \(30\%\) to \(50\%\).
Towards Automatically Generating Release Notes using Extractive Summarization Technique

Release notes are admitted as an essential document by practitioners. They contain the summary of the source code changes for the software releases, such as issue fixes, added new features, and performance improvements. Manually producing release notes is a time-consuming and challenging task. For that reason, sometimes developers neglect to write release notes. For example, we collect data from GitHub with over 1,900 releases, among them 37% of the release notes are empty. We propose an automatic generate release notes approach based on the commit messages and merge pull-request (PR) titles to mitigate this problem. We implement one of the popular extractive text summarization techniques, i.e., the TextRank algorithm. However, accurate keyword extraction is a vital issue in text processing. The keyword matching and topic extraction process of the TextRank algorithm ignores the semantic similarity among texts. To improve the keyword extraction method, we integrate the GloVe word embedding technique with TextRank. We develop a dataset with 1,213 release notes (after null filtering) and evaluate the generated release notes through the ROUGE metric and human evaluation. We also compare the performance of our technique with another popular extractive algorithm, latent semantic analysis (LSA). Our evaluation results show that the improved TextRank method outperforms LSA.
Optimal Auto Calling Algorithm For Real-Time Condition Reporting By Corruption Handling Officer

Corruption is a primary development challenge in Indonesia's economic and social field. In order to overcome these threats, Indonesia's government has been established the Corruption Eradication Commission (Komisi Pemberantasan Korupsi, abbreviated KPK). KPK's goal is to free Indonesia from corruption by investigating corruption cases and monitoring the governance process. KPK uses one effective method called “hand arrest operation”, abbreviated OTT, to handle corruption cases. However, the existing hand arrest operation that KPK used today is not always effective because, in real action, the KPK's official always overdue to find actual evidence of the communication between the suspect. Thus, there is a need for a rapid method to record the suspicious conversation or transaction voice between the suspect as actual evidence for a corruption case. Thus, this paper aims to propose a supporting tool for real-time hand arrest operations to support KPK officials in OTT action. The experimental results show that the proposed method can effectively record all the suspicious communication or transaction voices between the suspect in a scenario room. Finally, this study concluded that the proposed method is a promising way to help the work of KPK in OTT.
The Influence of Using the Chemical Ludo Game as Chemo-Edutainment Media for Redox Reaction Materials and Compound Nomenclature on Learning Outcomes of MA Students

Learning media in the form of games is a game tool that is educational and fun, so that it can involve active and competitive students. Judging from its advantages, learning media in the form of games can help students learn in groups, can foster a competitive spirit, and can prevent boredom experienced by students so that the learning process is not rigid but will be fun. This study aims to reveal the effect of using the chemical ludo game as a Chemo-edutainment media redox reaction material and compound nomenclature on the learning outcomes of class X MAN 2 Padang students. The type of research used is a quasi-experimental with Post-test Only Control Group Design. The sampling technique used was purposive sampling technique. The population in this study were all students of class X science at MAN 2 Padang in the even semester of the 2020/2021 academic year. The data analysis technique used is the Independent t-test obtained from the post-test. Based on the results of the study, it was found that there was a significant effect on the use of chemical ludo games as a Chemo-edutainment medium for redox reaction materials and nomenclature of compounds on the learning outcomes of students in class X MAN 2 Padang. This can be seen from the difference in cognitive learning outcomes obtained by the experimental class (83.63) which is higher than the control class (78.13) and the t-test analysis which obtained a sig value of 0.006 <0.05. Furthermore, it is also supported by the percentage of learning completeness in the experimental class (87.5%) which is higher than the control class (81.25%). Keywords —learning outcomes, chemical ludo and Chemo-Edutainment (CET).
Improving the Gilbert-Varshamov Bound by Graph Spectral Method

We improve Gilbert-Varshamov bound by graph spectral method. Gilbert graph $G_{q,n,d}$ is a graph with all vectors in $\mathbb{F}_q^n$ as vertices where two vertices are adjacent if their Hamming distance is less than $d$. In this paper, we calculate the eigenvalues and eigenvectors of $G_{q,n,d}$ using the properties of Cayley graph. The improved bound is associated with the minimum eigenvalue of the graph. Finally we give an algorithm to calculate the bound and linear codes which satisfy the bound.
Digital score of Trio no. 4 for soprano, alto and baritone saxophones

Musical score of 'Trio no. 4 for soprano, alto and baritone saxophones'. Title partially cut off on item. Title taken from file name. Quantity: 1 Electronic document(s).
Rapper Lil Pump's merchandise store now accepts bitcoin as payment

Rapper Lil Pump is giving bitcoin a much-needed boost as the cryptocurrency took a nosedive this week.
Cultural Pollution among Students of History Departments in the Colleges of Education in Iraqi Universities from the Point Of View of Academic Staff

The current research aims to identify the cultural pollution among the students of the history departments in the Iraqi colleges of education from the point of view of the college members, to achieve the objectives of the research, the descriptive approach was used, and a scale for the cultural pollution variable was built, this was done by relying on the theoretical framework, and the scale in its final form, after completing the conditions of validity, stability, and discriminating power, consisted of (27) items, the researcher applied the two scales to a sample of (112) male and female teachers in the universities of the Middle Euphrates for the academic year (2020-2021), then the data was analyzed using the statistical packages for social sciences (spss), the results showed that the students of the Department of History from the point of view of the college members have a high level of cultural pollution, and based on these results, the researchers presented a number of appropriate recommendations and suggestions.
Hyperspaces and function graphs in digital topology

We adapt the study of hyperspaces and function spaces from classical topology to digital topology. We define digital hyperspaces and digital function graphs, and study some of their relationships and graphical properties.
Mitigating Cyber-Threat in the Financial Industry of Bangladesh using Biometric based Public Key Infrastructure (PKI) with the Help of Digital Certification

Information is such a thing which if misused, leaked or breached can lead to undesirable consequences. Financial institutions have a lot of data of their customers. These data’s are regarding customers’ personal information, transactions and many more which are highly sensitive. The entire system by which financial institutions such as – banks run, are required to be secured from cyber breach. As by breaching these systems’ can lead to financial disaster. The rapid growth of IT infrastructure is not only considered a convenient way for customers in many perspectives but also it point out the lack of skilled manpower in our country. In banking sector, ATM, E-money laundering are the domain where crime occurred most of the time. So, this paper focuses on developing a conceptual framework based on secondary sources which included publications, journal, books etc. regarding the problem of cyber-threat happening in Bangladesh. It describes how a financial institute can make safe transaction using bio-metric based public key infrastructure with the help of digital certificate.