Reviewerly/exHarmony huggingface dataset:
Morphological Errors Analysis on Students’ Synopsis Writing

The objective of the study is to find out the students’ morphological errors in synopsis writing. It aimed to know what the difficulty is faced by the students in their synopsis writing. The methodology of study is a qualitative that focused to analyze the students’ synopsis writing errors. The research finding is found that several students have synopsis writing errors in some aspects refer to omission, misordering, misinformation, and addition.
Recommendation systems compliant with legal and editorial policies

The BBC produces thousands of pieces of content every day and numerous BBC products deliver this content to millions of users. For many years the content has been manually curated (this is evident in the selection of stories on the front page of the BBC News website and app for example). To support content creation and curation, a set of editorial guidelines have been developed to build quality and trust in the BBC. As personalisation becomes more important for audience engagement, we have been exploring how algorithmically-driven recommendations could be integrated in our products. In this talk we describe how we developed recommendation systems for the BBC+ app that comply with legal and editorial policies and promote the values of the organisation. We also discuss the challenges we face moving forward, extending the use of recommendation systems for a public service media organisation like the BBC.
Peculiarities of Future Primary School Teachers’ Musical Competence

Musical education belongs to significant spheres of personality development and human expression.Music develops human imagination, enhances the emotional experience, evokes the human ability to perceive the organised world of sounds and stimulates the esthetical experience of this world.Many studies have shown that the importance of musical education is more important for primary school pupils than in later years.If before this age, in the families or schools the music education is not given enough attention, the child loses a lot (musical receptiveness, specific visual thinking), and later this kind of abilities for various reasons (disharmony of physical, emotional development, etc.) are more suppressed.Therefore, much of significance must be devoted to the musical education of future primary school teachers.The research data from qualitative and quantitative study analysis have highlighted the peculiarities of musical and pedagogical psychological competencies of primary school teachers.
THE CONNECTION BETWEEN THE RATING OF JUDGMENTS OF LEARNING AND THE PECULIARITIES OF WORK WITH THE LEARNING MATERIAL DURING THE LECTURE

The article deals with theoretical analysis of methods of work with learning material as a factor of judgments ratings about the studied material.The following factors of judgments of the learning material were singled out: group interaction, the use of schemes and presentations, the use of the method of problematic experience, the provision of feedback by the teacher, and the repetition of the material.An empirical study of the dependence of JOL ratings on the above-mentioned factors was carried out.It has been established that in the case of group interaction of students in the classroom and providing feedback to the teacher, JOL's ranking of judgments is at an average level.The use of schemes and presentations during the lecture, as well as the use of the method of problem-solving of experience, help to increase the ratings of judgments about the learned material.The highest JOL ratings are fixed during the material repetition.
An Exploratory Goal-Based Modeling of Optimized Collision Avoidance Action Selection in Autonomous Vehicles

The collision-free path planning is crucial for an autonomous vehicle. It saves life and helps to complete the task in time. The computational intelligence mimics human intelligence and solves these types of problems in which conventional techniques fail to provide optimal solutions. In literature, computational intelligence techniques except evolutionary techniques have not been utilized for land vehicles. In this regard, we employ clonal selection algorithms for collision avoidance in an autonomous vehicle.  To check the effectiveness of our proposed scheme, we compare the performance of the clonal selection algorithm with the genetic algorithm. The results show that the clonal selection algorithm performs better than the genetic algorithm in terms of computation time and also avoids accident within the required time to avoidance.
Training Subset Selection for Support Vector Regression

As more and more data are available, training a machine learning model can be extremely intractable, especially for complex models like Support Vector Regression (SVR) training of which requires solving a large quadratic programming optimization problem.Selecting a small data subset that can effectively represent the characteristic features of training data and preserve their distribution is an efficient way to solve this problem.This paper proposes a systematic approach to select the best representative data for SVR training.The distributions of both predictor and response variables are preserved in the selected subset via a 2-layer data clustering strategy.A 2-layer step-wise greedy algorithm is introduced to select best data points for constructing a reduced training set.The proposed method has been applied for predicting deck's win rates in the Clash Royale Challenge, in which 10 subsets containing hundreds of data examples were selected from 100k for training 10 SVR models to maximize their prediction performance evaluated using R-squared metric.Our final submission having a R 2 score of 0.225682 won the 3 rd place among over 1200 solutions submitted by 115 teams.
Menyoal Ketubuhan dan Nilai Performatifnya

Corporeality as an existance of human body related to object and subject aroundis interesting to be explored, not only its capasity as an instrument of ritualpurposes but also as instrument of its daily “performative” expression. Thekinetic art is not considered belong to dance genre. It can be seen that the genreis expanded to be fluid so that one finds a difficulty to define performance stylewhich not convensionally has form patterns indicated by its kinetic genealogy.Through a profundity of the observation of human body motion related bothculturally and naturally to spatial “ecosystem,” one can see the performativevalue instead of its conventional performance characterized by the form ofits creative tradition. Furthermore, contemporarily it can be indicated thatcorporeality with performative values has a lot of opportunities to contributesignificantly within various aspects of ecocriticism. This is a kind of a critical thinking in term of an efford to remind everybody to be aware of the relationship between human and the environmental problems.Keywords: corporeality; ecocriticism; performative value
Scheduling Algorithm for a Task under Cloud Computing

Aiming at the problem of low efficiency of task scheduling in cloud computing, this paper first analyzes the task of cloud computing task scheduling.Secondly, the pheromone setting quality function of the ant colony algorithm and the empirical feedback factor of selection probability are improved.The new method is adopted for the colonial calculation method and boundary value processing in the imperial competition algorithm.Finally, the two algorithms are merged to obtain a cloud computing task scheduling algorithm based on the ant colony algorithm-empire competition algorithm.In the simulation experiment, the algorithm demonstrates certain advantages in terms of task execution time, execution cost, and load rate.
Reform and Exploration of Teaching Mode in Numerical Calculation Course for Engineering Certification

For a student in engineering application-oriented undergraduate colleges, especially those who majored in mechanical manufacturing and automation, working at the first line of production after graduation is necessary. In order to better adapt to the "Internet Plus" era, it is especially important to cultivate the ability to solve engineering problems using numerical calculation methods. In this study, the teaching mode reform and exploration of numerical calculation courses is discussed. A new teaching curriculum system is developed, where the mechanism of flexible teaching is realized by "Internet Plus". And the numerical calculation course knowledge base for engineering certification is constructed to solve the problems existing in the current teaching mode. The new teaching curriculum system closely links the teaching with the scientific research, which can help students to combine the theoretical knowledge with actual application. Therefore, the new teaching mode lays the foundation for a higher level of "curriculum teaching material construction".
Movie Review System Using Sentiment Analysis

The burgeoning presence of social media and open opportunities for posting personal views have flooded the internet with enormous volumes of opinions catering to all sorts of topics. This sheer volume of reviews has created some serious bottlenecks when it comes to gaining insight into any particular movie. Sentiment analysis is one domain of opinion mining that can solve this problem by taking reviews from multiple sources and condensing them into a single rating. In a movie review context, it is possible to use Sentiment Analysis to give the user a single rating for each movie that is a cumulative result of the reviews, comments that have been posted on various movie websites such as IMDB, TMDB, Rotten Tomatoes, Metacritic, etc. for that particular movie. Research done in this field has provided various techniques in machine learning that can be employed to achieve the classification of the sentiment in the review text as positive, negative or neutral. These methodologies involve feature extraction, creating a vocabulary of words for the system model and classifying them by applying appropriate algorithm likeNaive Bayes and Support Vector Machine (SVM) to get more accurate results for a movie.
A non-parametric significance test to compare corpora

Classical null hypothesis significance tests are not appropriate in corpus linguistics, because the randomness assumption underlying these testing procedures is not fulfilled. Nevertheless, there are numerous scenarios where it would be beneficial to have some kind of test in order to judge the relevance of a result (e.g. a difference between two corpora) by answering the question whether the attribute of interest is pronounced enough to warrant the conclusion that it is substantial and not due to chance. In this paper, I outline such a test.
How to Motivate Students in Using School Library

The school library is a place for students to find information. Due to the various information provided inside, students have many choices in finding the information they need. Therefore, school libraries should have a strategy to maximize their services. This study aims to determine the motivation of high school students in Surabaya in utilizing their school library. The method used is descriptive quantitative approach. The sample of this research is high school students in Surabaya selected using multistage random sampling with a total of200 respondents. The data were collected through questionnaires. The results of this study indicates that the main motivation of high school students in Surabaya in using school libraries is the comfortable space, invitations from friends, completing schoolwork, love for reading, recommendations from teachers, prestige, and spare time. Based on these findings, the school library can provide services that go in accordance with the expectations of the users.
Quantum Information Processing Using Intermodal Four-Wave Mixing in Multi-Mode Optical Fibers

Being able to generate and process quantum states are essential functionalities in quantum communication. Examples of the processing include conversion of the wavelength of quantum states or modification of their temporal shape. The combined use of four-wave mixing and higher order modes in optical fibers has enabled such functionalities. The use of intermodal four-wave mixing among higher order modes, enable frequency conversion over a wavelength bandwidth, large enough to avoid spontaneous Raman scattering, which is otherwise detrimental for quantum communication. The process of intermodal four-wave mixing furthermore has the advantage that the same process may be used to generate single photon states. We review recent results on the use of intermodal four-wave mixing in optical multi-mode fibers for quantum information science and show a theoretical/numerical model that may be used to predict the performance of quantum state processing devices based on four-wave mixing.
Text based machine learning using discriminative classifiers

Ever since the invention of computer, a curiosity exists to see if it can be made to learn. If humans could understand how to program them and learn to improve automatically with experience, the impact would be dramatic. A successful understanding of how to make computers learn would open up many new uses of computers and new levels of competence and customization. In this paper, two applications of Machine Learning are explored. In the first one, linear regression to understand the correlation of the feature columns with the output and make predictions based on the “line of best fit” is given. In the second one, discriminative classifiers for analyzing and segregating text-based data is proposed. On applying regression analysis on advertising data, it is observed that TV advertising has the strongest linear correlation with sales. In the later section, text-based machine learning is employed using the scikit-learn library of Python. Multiple contemporary classifiers are applied on a set of SMS’s to perform spam detection. The performance of the classifiers is evaluated using suitable accuracy metrics. The results show that the Naive Bayes algorithm is much faster than other algorithms such as Logistic Regression. Using a Bayesian probabilistic approach, a spam ratio is attached to all the tokens in the input set. The proposed work proves to be helpful in the field of advertising and spam detection systems
Summary of Bilingual Teaching Construction in Digital Signal Processing Course—Take the Communication Engineering Major of Anhui Xinhua University as an Example

In this paper, based on the curriculum implementation of Digital Signal Processing in the early period of the bilingual teaching work in Anhui Xinhua University, curriculum system and feasibility analysis, the construction plan of bilingual teaching of curriculum implementation, curriculum effectiveness checking of bilingual teaching, the project team has carried out the preliminary exploration and tentative practice. And the bilingual teaching system were researched, analyzed and summarized systematically. Through the concrete effectiveness testing, it has achieved a good effectiveness with helpful reproducibility.
Competition of research and creative works as a form of self-realization of students

At the present stage of development of science, there is a need to develop theoretical and methodological grounds for intensifying the competition of research and creative works as a form of self-realization of students, defining ways of multipurpose involvement of students in research activities taking into account social realities that actualize the disclosure of ways to optimize and creative possibilities of a student in the professional and cognitive development and transformation of the surrounding world (with the updated azovatelnyh guidelines (research component in training, education entities active involvement in research activity).The article from the perspective of modern pedagogical science actualizes the possibility of competition as a form of self-realization of research activities of students of educational institutions of higher education (undergraduate level) in a modern university; analyzed the concept of "competition", which is investigated in modern edu cational theory; analyzes the direction and effectiveness of the competition organized in the space of the university;modern approaches to the content and organization of research activities of students of a pedagogical university in the context of the humanistic potential of the creative heritage of the teacher-researcher V.A. Sukhomlinsky. The positions of the creative heritage of the pedagogical thought of V.A. Sukhomlinsky in relation to the modern reading of their students.The practical significance of the research problem is confirmed by the fact that the developed conclusions can be used by scientific and pedagogical workers of the multilevel education system in determining areas and mechanisms that optimize the process of scientific and educational activities of bachelors in accordance with the requirements of the GEF for the purposeful mastery of the competence of scientific research in the context of optimal implementation of scientific strategies for learning, mastering the basic competences of scientific research are treacherous activities.
Multilingual Knowledge Base Completion by Cross-lingual Semantic Relation Inference

In the present paper, we propose a simple endogenous method for enhancing a multilingual knowledge base through the cross-lingual semantic relation inference.It can be run on multilingual resources prior to semantic representation learning.Multilingual knowledge bases may integrate preexisting structured resources available for resource-rich languages.We aim at performing cross-lingual inference on them to improve the low resource language by creating semantic relationships.
Semantic Associations Between Scenes and Objects Bias Attention Even When Task-irrelevant

Recent behavioral evidence suggests that the influence of semantic relationship between objects on attentional allocation is independent of task-relevance (Malcolm, Rattinger, & Shomstein, 2016). Additionally, neuroimaging data from our most recent work demonstrates that the semantic association between objects modulate spatial attention and strengthens the neural representation of objects in the early visual cortex. These results demonstrate that high-level relationships among objects continuously affect attentional selection. However, these findings are drawn from paradigms examining the influence of semantic relationships between two, maximum three, real-world objects. Since objects are always part of a scene, it is critical to understand whether the semantic properties of a scene have a continuous influence on attention. Here, we investigated the influence of task-irrelevant semantic properties of scenes on attentional allocation and the degree to which semantic relationships between scenes and objects interact. In Experiments 1 and 2, participants were presented with a scene followed by two objects appearing on either side of fixation. Next, two target Gabor patches appeared, one on fixation and one on top of an object, and a checkerboard distractor on the other object. Participants reported whether the orientation of two targets Gabors matched. Critically, only one of the objects was semantically related to the scene and the peripheral target was equally likely to appear on either object, rendering semantic relationships task-irrelevant. Faster RTs were observed for peripheral targets that appeared on the semantically related object. Importantly, RTs were directly predicted by the strength of scene-object relatedness (assessed by a questionnaire). In Experiment 3, the semantic relationship between objects and scene were systematically manipulated and measured using multi-dimensional scaling (MDS) methods. Results suggest that task-irrelevant semantic relationships between scenes and objects continuously influence attention and this influence is directly predicted by each individual’s perceived strength of semantic associations.
Constructing Odd-Variable Rotation Symmetric Boolean Functions With Optimal AI and Higher Nonlinearity

As a part of the field of cryptography, rotation symmetric Boolean functions have rich cryptographic significance. In this paper, based on the knowledge of integer compositions, we present a new construction of odd-variable rotation symmetric Boolean functions with optimal algebraic immunity. The nonlinearity of the new rotation symmetric Boolean functions is much better than that of the previously ones with optimal algebraic immunity. And the algebraic degree of the function class is also much high. Moreover, it is shown that our new functions have almost optimal fast algebraic immunity within the range of variable numbers that ordinary computers can calculate.
Beyond Bitcoin: Leveraging Blockchain to Benefit Business and Society

Although many people equate blockchain with bitcoin, cryptocurrency, and smart contracts, the technology also has the potential to transform the way companies look at governance and enterprise risk management, and to assist governments and businesses in mitigating human rights impacts. This Article will discuss how state and non-state actors use the technology outside of the realm of cryptocurrency. Part I will provide an overview of blockchain technology. Part II will briefly describe how public and private actors use blockchain today to track food, address land grabs, protect refugee identity rights, combat bribery and corruption, eliminate voter fraud, and facilitate financial transactions for those without access to banks. Part III will discuss key corporate governance, compliance, and social responsibility initiatives that currently utilize blockchain or are exploring the possibilities for shareholder communications, internal audit, and cyber security. Part IV will delve into the business and human rights landscape and examine how blockchain can facilitate compliance. Specifically, we will focus on one of the more promising uses of distributed ledger technology – eliminating barriers to transparency in the human rights arena thereby satisfying various mandatory disclosure regimes and shareholder requests. Part V will pose questions that board members should ask when considering adopting the technology and will recommend that governments, rating agencies, sustainable stock exchanges, and institutional investors provide incentives for companies to invest in the technology, when appropriate. Given the increasing widespread use of the technology by both state and non-state actors and the potential disruptive capabilities, we conclude that firms that do not explore blockchain’s impact risk obsolescence or increased regulation.
A Novel Two-Stage Framework for User Identification Across Social Networks

User identification across social networks refers to the estimation of whether multiple accounts on different social networks belong to the same individual. By integrating user information across multiple social networks, we are able to build a more comprehensive user profile contributing to many applications. Previous work with good performance needs rich user information. However, as the privacy policy changes, it is difficult to obtain such rich information. Besides, the combination ways of multi-dimensional information are also inefficient. Therefore, a novel two-stage user identification framework is proposed. Firstly, we establish user identification model UNM (UserName Based Model) merely using username and TCM (Tweet Content Based Model) only using tweet content information. Then we integrate two models into two-stage user identification framework. Experimental results show that (1) only the use of tweet content information can also achieve good results and (2) two-stage user identification framework can provide promising performance with F-score reaching 97.6%, which proves the superiority of the framework.