Reviewerly/exHarmony huggingface dataset:
Rancang Bangun Sistem Dashboard Akreditasi Program Studi (APS) Standar 5 Berbasis KPI

Accreditation is one form of approval and feasibility of universities or study programs conducted by the National Higher Education Accreditation Agency (BAN-PT). The purpose and benefits of higher education institution accreditation are to provide assurance that accredited tertiary institutions have met the quality standards set by BAN-PT. In order to be able to monitor and  evaluate all activities to achieve the expected accreditation value, a management application is needed that is able to integrate the entire contents of supporting data one form of visualization that can describe it is the dashboard system. This research intend to establish an Accreditation Management Information System application with a dashboard appearance in the web-based Muhammadiyah University of Malang. This application is constructed using HTML, PHP, and Codeigniter Framework by using the MySQL storage format as a database. The development method used in system development is the Spiral development model. The results of this research are that the dashboard system can provide an overview of the position of accreditation values of the University, Faculty and Study Program, so that parties from each University management, Faculty and Study Program can take action to prepare and improve values to face future accreditation assessments. Abstract Accreditation is one form of approval and feasibility of universities or study programs conducted by the National Higher Education Accreditation Agency (BAN-PT). The purpose and benefits of higher education institution accreditation are to provide assurance that accredited tertiary institutions have met the quality standards set by BAN-PT. In order to be able to monitor and evaluate all activities to achieve the expected accreditation value, a management application is needed that is able to integrate the entire contents of supporting data one form of visualization that can describe it is the dashboard system. This research intend to establish an Accreditation Management Information System application with a dashboard appearance in the web-based Muhammadiyah University of Malang. This application is constructed using HTML, PHP, and Codeigniter Framework by using the MySQL storage format as a database. The development method used in system development is the Spiral development model. The results of this research are that the dashboard system can provide an overview of the position of accreditation values of the University, Faculty and Study Program, so that parties from each University management, Faculty and Study Program can take action to prepare and improve values to face future accreditation assessments.
Identifying synonyms in bigram phrases using Compositional DSM and Artificial Neural Network

This paper focuses on identifying whether a bi-gram is a synonym to a given single word, using compositional distributional semantic and Artificial Neural Networks. Understanding the semantics of the natural language text has been a challenging task in natural language processing. In DSM(distributional semantic model) of meaning representation, the words are represented as vectors in multi-dimensional vector space such that words that are semantically similar appear closer to each other whereas words that are dissimilar appear farther apart. This work tries to represent the meaning of bigram in this vector space. Many research works in Distributional semantic try to represent word-pair of the form Adjective-Noun, Verb-Noun, Noun-Noun in multi-dimensional space along with the individual elements of phrases. And these built representations are used for identifying the synonyms of them. Researchers have been successful in representing semantic of words but efficient ways to represent that of phrases are still being investigated. Our work aims to achieve a more efficient method in identifying semantically similar word for the bigram phrase. In this paper, we propose a Neural Network based model which predicts a compositional vector for two-word phrases from its constituent word vectors. The compositional vectors have been evaluated using the classifier to identify synonym word-pairs. PPDB (Paraphrase Database) data set has been used for the experiment. Our model performed better than other non-neural network based models for identifying bigram-unigram synonym pairs.
포우의 작품에 나타난 유머와 풍자 그리고 사회비평

The purpose of this paper is to analyse the relationship and meaning of humor, satire, and social criticism revealed in Edgar Allan Poe’s works. Although he is well known as horror, ratiocinative or detective, grotesque, and science fiction novels as well as romantic poems, Poe has luxuriant humorous and satirical senses, and shows social critical consciousness in his many works such as short stories and novels. Poe also reveals a big concern and critical mind in mammonism and venality rampant in the then American society. In particular, he tries to allude his economic difficulties and financial hardships implicitly by using the humorous and satirical literary techniques in his works. In particular, it is believed that Poe is very sensitive to social phenomenons and transformations from moral-oriented to material-oriented society in the early nineteenth century. Therefore, this article will focus on the meaning of humor, satire, and social criticism in Poe’s short stories such as “The Business Man,” “Diddling Considered as One of the Exact Sciences,” and “The Spectacles,” and on how those elements work. (Chungnam National University)
LibGuides: Topic Selection for Lib 200: Socioeconomic issues

This guide serves as your starting point in identifying a possible topic to explore for the final assignment
Reading comprehension and the world around me

This article evidences the project carried out to strengthen reading comprehension through the application of seven research workshops based on theories related to reading, reading comprehension, artistic expressions, cultural identity, multiple intelligences, context and sociocultural theory. These theories seek to exploit the information about the environment that serves as a means for the development of this innovative didactic strategy that contributes to the improvement of educational processes of the eighth grade in the Jose Miguel Silva Plazas Technical Institute in the rural area of the Municipality of Duitama, Boyaca. By implementing the strategy, there was evident progress in some students regarding their role as participants of their cultural context. Their attitude towards reading comprehension was more critical, reflective, evaluative and creative; Students’ direct experiences with their environment, enhance learning processes, making this a significant process that enriches their integral formation.
UNITY OF THE FUNDAMENTAL AND APPLIED COMPONENTS OF THE CONTENT OF THE GENERAL PHYSICS COURSE AS A NECESSARY FOR THE FORMATION OF THE MAYBUZITAL PROFESSIONAL COMPETENCE

The article emphasizes the need to combine the fundamental and applied components of the content of the General Physics course in the training of future physics teachers. It is emphasized that the modern stage of scientific and technical development of society places high demands on the intellectual potential of future teachers of physics, to possess their methodology of scientific research. It is established that the content of the discipline "General Physics" should reflect the current state of development and achievements of science, and students should have the latest methods of research, orientation skills in the flow of scientific information and use it to perform the tasks of professional activity. It is noted that in this context special attention deserves such field of physics as nanophysics. It is shown that a deeper acquaintance of students with the questions of nanophysics opens opportunities for modern interpretation of the material learned in the previous stages of study, to understand its real applied value in relation to the possibilities of their use in practice. The problems that arise during the formation of knowledge in the field of modern achievements in nanophysics in the future teachers of physics, among which the main problem is to ensure the unity of the fundamental and applied components of the content of the course of general physics. It is emphasized that scientific and methodological literature should be developed in order to popularize knowledge about the current state of nanotechnology development and research into the properties of nano-objects. Methodical approaches to acquaint future physics teachers with modern achievements of nanotechnologies and their use in various fields of science and technology are proposed. It is shown that the integration of nanotechnology into the general physics course helps students to understand the applied aspects of modern science and provides a scientific outlook, which contributes to the formation of a high level of professional competence of the future physics teacher. Key words: fundamental and applied components of the content of general physics course, future teachers of physics, nanophysics, nanotechnology.
Improving the Performance of a Neural Network for Early Prediction of Sepsis

Early prediction of sepsis is a clinically important, yet remains challenging. As machine learning develops, there have been many approaches for prediction of sepsis using neural network-based models. In this work, We propose various methods including feature engineering, regularization technique, and train data sampling methods, which can boost the performance of the model. Our approach consist of three-component: a feature engineering, an auxiliary loss, and a manipulation of training distribution. In feature engineering, we employed a novel input imputation method that combines input decay, masking, and duration of missing and input transformation. As for regularization, we used the reconstruction error as the auxiliary loss. Meanwhile, we manipulated the distribution of training sample using normal point re-sampling and population-based sampling. On the validation set, our approach improved the performance of LSTM as AUROC/AUPRC of 0. 045/0.017, and the performance of transformer is enhanced AUROC/AUPRC of 0.034/0.024. Finally, we submitted our transformer trained with proposed method on the official test set and obtained the utility score of 0.291 (Team name:vn, Rank:23).
Video-Based Motion Human Abnormal Behavior Recognition Algorithms

The existing video-based algorithms for the recognition of abnormal behaviors of moving human beings have problems of low timeliness and recognition rate, so the video-based algorithm for the recognition of abnormal behaviors of moving human beings is proposed. The median filtering method is adopted for the equipment and the environment in the video produced by the influence of noise to filter out, on this basis, the background difference method is used to detect human movement accordingly, based on test results, through regional correlation method to track human movement, will get the image binarization processing, to extract of human movement behavior characteristics, based on human movement behavior characteristics, through the fuzzy algorithm to criterion of human movement behavior, achieved the identification of the abnormal behavior of human movement. Through experiments, it is found that the time efficiency of the proposed abnormal behavior recognition algorithm is reduced by 18.23% and the recognition rate is increased by 31.7%, which fully indicates that the proposed abnormal behavior recognition algorithm has better recognition effect.
On The Question Of The Relationship Of Ideas And The Particle Of Microworld On The Example Ofa Musical Composition

The research deals with the notion of “idea”, its transformation in time and a structural connection with musical thinking. “Ideas” embody the prototypes of objects and concepts of reality, driving civilization and governing the institutions of social life support, culture and spirituality; ideas carry a semantic weight, thus filling and motivating the purpose of the personality's existence with a special meaning. Parallels are being drawn between the shape of the microworld and the structure of the musical piece, the structural links between the overtone series and the chronological order of the appearance of musical epochs. We use data from “Waves 11” score by Peter Adriaanz to decompose the correlation between music form and time emerged from sound particles. Our findings indicate that the musical structure, tells about the time and age when and in what ideological conditions this essence was formed.
Privacy - Preserving Multi-Party Conditional Random Selection

The primitive of conditional random selection allows the selection of a data record uniformly at random from the subset of data records that meet a specified condition. In this paper, we extend a previously introduced privacy-preserving two-party protocol (that implements this primitive in the context of passive adversaries) to the multi-party case. Additionally, we provide a comprehensive performance analysis of the newly designed protocol and discuss application scenarios.
Analysis and Comparison of Various Fully Homomorphic Encryption Techniques

Calculations can be carried out on encrypted form of data- is the essence of homomorphic encryption. Homomorphic encryption has resolved the security issues for storing data on the third-party systems (e.g. cloud or untrusted computer, service providers etc.). Most significant category of homomorphic encryption is fully homomorphic encryption. It permits unbounded number of operations on the encrypted form of data and output by system is within the ciphertext space. This paper provides the essentials of Homomorphic encryption and its various classifications i.e. partially homomorphic encryption, somewhat homomorphic encryption and fully homomorphic encryption. Mainly emphasizes on full homomorphic encryption and an investigation of different full homomorphic encryption schemes that uses the hardness of Ideal-lattice, integers, learning with error, elliptic curve cryptography based.
An evaluation of selected universities’ library website of north-east India: A webometric analysis

The paper studies the domain and page authority, top followed links to the site, spam score, internal followed links and external followed links, total links, total linking domains and followed linking domains, and the web impact factor (internal, external and simple)of top seven universities of North-East India ranked by National Institutional Ranking Framework selected (NIRF) in 2018.The study explored that overall, the WIF of Mizoram University Library ranked at top with highest Internal WIF of 172.73 and Simple WIF of 172.84, whereas, North-Eastern Hill University Library occupied second place with Internal WIF of 139.45, External WIF of 4.58 and Simple WIF of 144.28 and Nagaland University Library recorded to be on third place with Internal WIF of 77.95 and Simple WIF of 77.95.
Discovering Patterns in Data

To discover patterns in data is about using Data Science to reveal the hidden mechanisms governing the analyzed phenomena. Data Science is able to uncover lots of different patterns such as distributions, associations, similarities, interactions, classifications and trends, that can be described, measured and modelled. There are only patterns, patterns on top of patterns, and patterns that affect other patterns. This chapter discusses some examples of patterns that can be revealed and many statistical tools that can be exploited to analyze data. It is concerned with the identification of the factors determining high-pressure game situations and affecting the scoring probability. An important issue for the analysis of games is to determine the frequency of occurrence of some events with respect to some other concurrent variable. A broad set of extremely powerful tools to discover hidden structures and patterns in data comes from machine learning techniques that make a large number of algorithms available for both supervised and unsupervised learning.
Translation Errors in English Information Boards of Statues in the Public Park : Based on Diachronic Investigations

The aim of present research is to examine translation errors that occur with Korean to English translations on Korean statues in a public place located in Seoul. The authors collected data of the English information boards on the statues three times during the period of 2013-2019, which included August 2013, March 2015, and February 2019. The translation error patterns of these three different versions on English information boards were compared. Through careful investigations, the format errors, grammatical errors, and contextual errors were detected in the revised versions as well as in the original version. Furthermore, it was also found that there was little improvement with the revised versions of English information boards. As a result, this paper proposes that thorough preparations and planning should be implemented when information boards on statues are translated from Korean into English.
MODEL OF FORMATION OF READY FOR FUTURE MUSIC ARTS TEACHERS FOR ORGANIZATION OF MUSICAL-AESTHETIC SPACE OF GENERAL MEDIUM

The article deals with the role of the motivational component in the process of forming the professional competence of future translators.The importance of translation activity in modern conditions is substantiated.The importance of inter-linguistic communication in the establishment of cultural, economic, social and political ties between states is emphasized, which provides a better understanding of the peculiarities and specifics of the development of other nationalities and nations worldwide.The importance of foreign languages learning is emphasized which greatly contributes to the processes of globalization inherent in the modern development of human civilization.The author emphasizes that the great need for translations and translators will cause further expansion of international contacts, exchanges in the fields of culture, sports, tourism, various international forums, meetings and negotiations in numerous international, governmental and non-governmental organizations.There is an impressive list of literary sources and scientists who devote their researches to this issue and reveal the essence of the motivational component in the process of formation of professional competence in their works.The author notes that motivation is the result of the internal needs of a person, his interests and emotions, goals and tasks, and the existence of motives aimed at intensifying his activities.The article also addresses issues of the essence of the competent approach and states that this approach ensures the individual orientation to acquisition of certain knowledge and skills, which is the key to effective professional activity.On this basis, the author emphasizes the definition of professional competence, considering it as a universal category, as it includes professionalism, skill, creative abilities, high intelligence and cultural and moral values of the personality, as well as professionally significant knowledge and skills, a professional position that is directly related to professional activity motivation.The author gives the results of the questionnaire and sociological survey of students regarding their motivation for choosing the profession of translator and concludes that the development of students' motivation to learn and master the profession of translator is influenced by the level of organization of the educational process, technology and methodology, application of interactive methods and pedagogical techniques which greatly increase students' interest in the study of languages and translation disciplines in particular.The author pays attention to the peculiarities of fiction translation and the motivational orientation of students to this type of translation.
Aesthetics and Poietics of Sound Material, Form and (absent) Body in Electronic Music: Conceptual Tools for the Computer Musician, and their Applications

Author(s): Regnier, Johannes | Advisor(s): Puckette, Miller | Abstract: The dissertation delineates several notions and conceptual tools of fundamental importance in our computer music practice, and proposes concrete applications of these concepts. The first chapter is centered around the dialectic of matter and form, from the perspective of aesthetic philosophy, and afterward within the musical discourse. In particular, we discuss the dualism empiricism vs. formalism, a prevalent binary opposition in computer music aesthetics. We generalize this dualism as the opposition signs vs. concepts. While acknowledging the pertinence of this opposition, both from the perspective of the aesthetics and the composition methods, we show that, in practice, the situation is more nuanced, and most computer music pieces exist somewhere on an axis drawn between pure empiricism and strict formalism. The following section discusses three compositional strategies to organize the sound material in a musical form: the form as a result of a process, sound transformations and morphological variations as structuring processes, and articulation of space as structuring element.The second chapter is centered around the notions of performance, bodily presence and human agency in computer music. We show that the increasing use of electronics and digital technologies in musical practices has dislocated our notion of liveness and magnified the possible interactions with the sound material. We discuss the consequences of the absence of the body or of bodily gestures in computer music performances, and we establish a network of relationships between timbre, attribution of causality, inference of intention, and emergence of a virtual presence, that we consider are at the source of fruitful and creative ambiguities in computer music.The third chapter presents our answers to these questions, in the form of six electronic music studies within a performance for dance, video and live electronics. These studies are based on a combination of direct interventions, improvisation and algorithmic processes. Several tools and techniques used in these pieces are presented, notably a modal synthesis model with morphing capabilities, a fractal-based algorithm to generate material at different time scales, a virtual analog extended model of the Xpander filter with morphing capabilities, and two reverberations able to generate abstract but cohesive spaces.
BP Neural Network-Based Product Quality Risk Prediction

This paper aims to characterize the quality risk of products through the number of injured people. Based on time series data about the number of product-injured people, a stable BP neural network model is established to make a scientific prediction about the number of people injured by products and provide methodological support for product quality risk management and control.
Brand Recognition with Partial Visible Image in the Bottle Random Picking Task based on Inception V3

In the brand-wise random-ordered drinking PET bottles picking task, the overlapping and viewing angle problem makes a low accuracy of the brand recognition. In this paper, we set the problem to increase the brand recognition accuracy and try to find out how the overlapping rate infects on the recognition accuracy. By using a stepping motor and transparent fixture, the training images were taken automatically from the bottles under 360 degrees to simulate a picture taken from viewing angle. After that, the images are augmented with random cropping and rotating to simulate the overlapping and rotation in a real application. By using the automatically constructed dataset, the Inception V3, which was transferred learning from ImageNet, is trained for brand recognition. By generating a random mask with a specific overlapping rate on the original image, the Inception V3 can give 80% accuracy when 45% of the object in the image is visible or 86% accuracy when the overlapping rate is lower than 30%.