Reviewerly/exHarmony huggingface dataset:
Canonical-Correlation-Based Fast Feature Selection

This paper proposes a canonical-correlation-based filter method for feature selection. The sum of squared canonical correlation coefficients is adopted as the feature ranking criterion. The proposed method boosts the computational speed of the ranking criterion in greedy search. The supporting theorems developed for the feature selection method are fundamental to the understanding of the canonical correlation analysis. In empirical studies, a synthetic dataset is used to demonstrate the speed advantage of the proposed method, and eight real datasets are applied to show the effectiveness of the proposed feature ranking criterion in both classification and regression. The results show that the proposed method is considerably faster than the definition-based method, and the proposed ranking criterion is competitive compared with the seven mutual-information-based criteria.
Decoding China’s COVID‐19 ‘virus exceptionalism’: Community‐based digital contact tracing in Wuhan

During the COVID-19 pandemic, comprehensive, accurate, and timely digital contact tracing serves as a decisive measure in curbing viral transmission. Such a strategy integrates corporate innovation, government decision-making, citizen participation, and community coordination with big data analytics. This article explores how key stakeholders in an open innovation ecosystem interact within the digital context to overcome challenges to public health and socio-economic welfare imposed by the pandemic. To enhance the digital contact tracing effectiveness, communities are deployed to moderate the interactions between government, enterprises and citizens. As an example, we study the community-based digital contact tracing in Wuhan, a representative case of China's 'virus exceptionalism' in COVID-19 mitigation. We discuss the effectiveness of this strategy and raise critical ethical concerns regarding decision-making in R&D management.
NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning

In this paper, a novel second-order method called NG+ is proposed. By following the rule ``the shape of the gradient equals the shape of the parameter", we define a generalized fisher information matrix (GFIM) using the products of gradients in the matrix form rather than the traditional vectorization. Then, our generalized natural gradient direction is simply the inverse of the GFIM multiplies the gradient in the matrix form. Moreover, the GFIM and its inverse keeps the same for multiple steps so that the computational cost can be controlled and is comparable with the first-order methods. A global convergence is established under some mild conditions and a regret bound is also given for the online learning setting. Numerical results on image classification with ResNet50, quantum chemistry modeling with Schnet, neural machine translation with Transformer and recommendation system with DLRM illustrate that GN+ is competitive with the state-of-the-art methods.
KATEGORISASI EMOSI TOKOH UTAMA “NICKY” DALAM WINTER DREAMS KARYA MAGGIE TIOJAKIN: KAJIAN PSIKOLOGI SASTRA

Abstract: The purpose of this study is to describe the emotional categorization of the main character in the novel Winter Dreams by Maggie Tiojakin based on David Krech's theory of emotional categorization with a literary psychology approach. The research method used is descriptive qualitative content analysis techniques. The validity and reliability of the data were obtained by semantic validity and triangulation with experts. The results of this study describe the findings of David Krech's emotional categorization of the main character Nicky. David Krech's theory of emotional categorization as an appropriate theoretical basis for dissecting the emotional categorization of the main character Nicky in this novel. Some show the findings of emotions that are interrelated with one another. This shows that the emotional classification that has been detailed by Krech is proven through novel quotations so that this research confirms the existence of Krech's truth about emotions. Keywords: main character emotions, David Krech, Winter Dreams, Maggie Tiojakin, psychology of literature
THE COMPARISON BETWEEN INTEGRATED AUDIO MEDIA OF YA LAL WATHAN AND POWER POINT MEDIA ON THE STUDENT'S COGNITIVE ABILITY

&lt;p&gt;The use of instructional media is one of the teacher's efforts to create maximum teaching and learning processes. Research on the use of integrated audio media Ya Lal Wathan in this study was carried out because the media used were new and had never been used by previous studies. This study aims to compare the effect of Ya Lal Wathan's integrated audio media and power point media on the cognitive abilities of high school students on Kingdom Plantae material. The study design used the Non-equivalent Control Group Design using a purposive sampling technique. We took all of students in MAN 1 Semarang as population and 2 classes as sample. The instruments used were 20 pre-test questions and 20 post-test questions given in power point and integrated audio class. Data were analyzed by Sign Test. The result of the study showed that there was an equally significant effect between two classes. However, students taught by integrated audio got an average grade in the post-test that is higher than the control class so there is a positive tendency that integrated audio media with Ya Lal Wathan is good for application in learning. It is necessary to innovate our audio media for further research.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Linguistic Politeness Of Tourism Personnel: Social Interaction Among Local Tourists In Context

This qualitative study employed the phenomenological approach to determine the linguistic politeness strategies covered in the interaction among tourist personnel and local visitors in Mt. Hamiguitan UNESCO World Heritage Site. The study explored how the local visitors were accommodated in the social interaction as well as the insights of the participants about politeness in general in the tourism industry. Results revealed that the participants observed inconsistencies of tourist personnel employing polite verbal and non-verbal expressions in accommodating the local visitors. Inconsistent expressions of greetings and smiles among tourist personnel were also observed inside the museum. It was also found out from the themes generated that tourism personnel manifested proper and improper linguistic politeness expression in accommodating the local tourist. In addition, politeness was relatively affected by social status and places of origin of the local visitors. It was observed that politeness of the tourist personnel was influenced by the culture of the visitors in the interaction. Results also revealed that there may be a need of trainings for tourist personnel on politeness expressions and gestures and active involvement of residents in the area in promoting local tourism.
LibGuides: A Beginner's Guide to Tabletop Role Playing Games: Dungeons & Dragons

If you are interested in playing a tabletop role playing game, this is the guide for you! So you want to play some DnD? You can find helpful resources here!
Study Habit in Remote Learning Education: A Basis for Teachers Modern Pedagogical Strategies in Tertiary Level

According to the study of Korir, D. and Kipkemboi F. (2014), School as a second home has a solid relationship to the academic performance of the students.However, because of the pandemic, home seems to become the second School of the students, affecting their study habits.Thus, this study was conducted to determine the factors that affect the students' study habits at the tertiary level using remote learning mode of education.The study used a descriptive-quantitative research design, and a self-made questionnaire is a primary tool in gathering data.Simple statistical tools were used to interpret the data.A total of 375 students from Nueva Ecija University of Science and Technology -San Isidro Campus, San Isidro Nueva Ecija, Philippines 3106 are the study respondents.The results show that students used their free time to study, and most of them use 2 hours and above to study, which shows why most students are able to cope with the current education model.It also shows that the students' environment dramatically affects the study habits of the students, thus, another reason why most students are struggling to survive in their online/remote learning mode of education.
A Sentence-level Hierarchical BERT Model for Document Classification with Limited Labelled Data

Training deep learning models with limited labelled data is an attractive scenario for many NLP tasks, including document classification. While with the recent emergence of BERT, deep learning language models can achieve reasonably good performance in document classification with few labelled instances, there is a lack of evidence in the utility of applying BERT-like models on long document classification. This work introduces a long-text-specific model -- the Hierarchical BERT Model (HBM) -- that learns sentence-level features of the text and works well in scenarios with limited labelled data. Various evaluation experiments have demonstrated that HBM can achieve higher performance in document classification than the previous state-of-the-art methods with only 50 to 200 labelled instances, especially when documents are long. Also, as an extra benefit of HBM, the salient sentences identified by learned HBM are useful as explanations for labelling documents based on a user study.
Diffusion Self-Organizing Map on the Hypersphere

We discuss a diffusion based implementation of the self-organizing map on the unit hypersphere. We show that this approach can be efficiently implemented using just linear algebra methods, we give a python numpy implementation, and we illustrate the approach using the well known MNIST dataset.
Analysis of Digital Competencies of 21st Century Teachers of Mathematics Education by Pentagonal Fuzzy Number and Some of Its Arithmetic Operations

Digital competencies is a collection of digital skills, categorized into five main areas of focus. They are designed as a tool for students to use to reflect on the digital skills and critical perspectives they develop while in school or college, in curricular and co-curricular experiences. The factors in digital competencies are digital survival skills, digital communication, data management and preservation, data analysis and presentation, critical making, design and development. In this paper we use pentagonal fuzzy number to find out the failure of digital competencies of 21st century teacher in mathematics education on the basis of the above criteria.
FEATURES OF DEVELOPMENT OF EMOTIONAL INTELLIGENCE AMONG SOLDIERS

This article examines the features and importance of the development of emotional intelligence in military personnel. Emotional intelligence is a collective term that implies a person's ability to identify emotions, to understand the intentions, motivations and desires of other people and their own, as well as the ability to manage their emotions and the emotions of others. Factors of subjective control and its relationship with low levels of empathic abilities.
SCAN PATTERNS FOR KEY GENERATION

Day to day with the heavy usage of networks, it became very difficult to provide security to the data. Many Steganography and Cryptography algorithms are existing in networks to solve security issues. At one end researchers are proposing so many different techniques to provide security to the data and at the other end the development of unauthorized access mechanisms are also increasing rapidly to break these security methods. Hence there is more urge to develop new methodologies which increases the complexity to prevent unauthorized access to the data and fixes the vulnerabilities of security. In this paper some innovative methods such as Scan patterns, Crossover operation and Elegant Pairing functions are implemented step by step to encrypt the text in which selection of partition pattern plays a vital role. The proposed methods were simple enough and robust in the process of providing security using scan pattern
Youthprenurship: A Gateway to Sustainable Development in Southeast, Nigeria

Youthprenurship in recent times has become a veritable tool in achieving sustainable development in both developed and developing countries.It is based on this, that this study examined youthpreneurship as a gateway to sustainable development in Southeast Nigeria, as a broad objective.It adopted a survey research design with a combined population of 200 youths selected randomly.A Likert structured questionnaire format was deployed for data collection.The analysis was carried out using correlation analysis, while hypotheses were tested at 5% level of significance.Findings revealed that there is a statistically significant positive relationship between youth empowerment and innovativeness (r = .981,p-value < 0.05).The study concluded that entrepreneurship remains one of the surest ways of getting employed and employing others.Among others, it was recommended that the creation of more youth empowerment programs should be one of the priorities of government and other well-meaning individuals, if they are serious about finding a way around unemployment in the region.
Opinion Mining and Summarization: A Comprehensive Review

Opinion Mining is concerned with the skillful extraction of vital information from opinionated text. Due to the rapid growth of social media sites, discussion forums, and online stores in the recent past, thousands of opinions are generated on hourly basis. Examining all these reviews from several sources is a dangling task. To grapple with this problem, opinion summarization is a way, where summary is generated from a set of opinionated data. Nevertheless, making an optimal opinion summarization system is a challenging task. This paper presents an overview of the approaches experimented and practiced so far in the field of Opinion Mining and Summarization and a survey of those techniques/approaches. These include: 1) Natural Language Processing and data mining techniques 2) Machine learning, deep learning and lexicon-based methods for sentiment prediction 3) Methods used for summarization. In a nutshell, an innovative framework is presented, which is an amalgam of different types of opinionated summarization techniques.
Blockchain in the IoT: Use-Case and Challenges

The Internet of things (IoT) is still moving to its full bloom and making itself a part of the Internet of future. One huge challenge is the ability to tackle billions of IoT devices. A number of technologies exist for managing IoT devices using a centralized control model but each has some kind of technical limitations to handle the abundance of IoT devices. The research motive is to understand blockchain technology and whether or not it can be integrated with IoT. A literature review is conducted on the blockchain technology to understand the fundamental working of blockchain and to document its key features. Some recent researches in the usage of blockchain in IoT are reviewed in the chapter and a generalized architecture for blockchain are described. The chapter also focuses on issues and challenges associated with the integration of blockchain with IoT. Moreover, we provided a few recommendations for future work considering the above-mentioned issues.
A ONE-TIME BONUS PAYMENTS IN THE SYSTEM OF MOTIVATION OF PERSONNEL OF HIGHER EDUCATIONAL INSTITUTIONS

Staff motivation is of high importance for improving the efficiency of higher education institutions. At the present stage, institutions use extensive, documented systems of staff motivation, which tend to become more complex and develop. In the event of circumstances that are not provided for by motivation systems, it is possible to pay one-time bonuses, which allows not only to effectively solve economic issues, but also to serve as an incentive to develop and improve the existing system of personnel motivation. When making a decision on the payment of a one-time bonus, there is a need for a reasonable determination of its monetary value. At the moment, numerous scientific works on the study of motivation insufficiently consider the principles of formation and determination of the size of monetary motivation in principle. The author proposes a method for determining the economically justified monetary range, which can be used to achieve employee motivation of consent. Additionally, approaches to calculating the monetary value of a one-time premium are presented. The advantages and disadvantages of the proposed methods for determining the economically justified monetary range, the amount of labor costs, and calculating the average hourly income are evaluated. Examples of using the proposed methods are given. The results of the study may be of academic interest for researchers-economists and practical interest for the work of financial and economic services not only of higher educational institutions, but also of other organizations.
BELT: Block-wise Missing Embedding Learning Transformer

Matrix completion has attracted attention in many fields, including statistics, applied mathematics, and electrical engineering. Most of the works focus on the independent sampling models under which the observed entries are sampled independently. Motivated by applications in the integration of multiple Electronic Health Record (EHR) datasets, we propose the method {\bf B}lock-wise missing {\bf E}mbedding {\bf L}earning {\bf T}ransformer (BELT) to treat row-wise/column-wise missingness. Specifically, BELT can recover block-wise missing matrices efficiently when every pair of matrices has an overlap. Our idea is to exploit the orthogonal Procrustes problem to align the eigenspace of the two sub-matrices using their overlap, then complete the missing blocks by the inner product of the two low-rank components. Besides, we prove the statistical rate for the eigenspace of the underlying matrix, which is comparable to the rate under the independently missing assumption. Simulation studies show that the method performs well under a variety of configurations. In the real data analysis, the method is applied to two tasks: (i) the integrating of several point-wise mutual information matrices built by English EHR and Chinese medical text data, and (ii) the machine translation between English and Chinese medical concepts. Our method shows an advantage over existing methods.
Robust Clustering Based Possibilistic Type-2 Fuzzy C-means for Noisy Datasets

Nowadays, clustering dataset is becoming a challenging task due to the complexity of modern datasets including noisy data, outliers, and uncertain data. This abstract presents a novel robust clustering method called improved possibilistic type-2 fuzzy C-means-based cluster forests (IP-T2-FCM-CF). The present method deals with the problems of noisy and uncertain datasets. Our method combines many aspects of soft computing, first we use an unsupervised feature selection step to exclude weak and redundant features, then we apply a novel robust clustering algorithm-based possibilistic C-means and Type-2 fuzzy C-means, the previous steps are employed as the clustering core of an ensemble clustering method with multiple iterations, next an adapted n-cut spectral algorithm is used to fuse the clustering iterations. The robustness against noisy datasets is provided due to the use of unsupervised feature selection and the improved possibilistic clustering, the robustness against uncertain datasets is provided due to the use of Type-2 Fuzzy C-means, in addition, ensemble clustering provides better clustering quality. The comparison of the proposed clustering method with similar clustering algorithms on well-known datasets having noise and outliers prove the superiority of the proposed method for most datasets.
A Solution of Sierpinski Problem Based m

In 1960, W. Sierpinski proved that there are infinitely many positive odd numbers $k$, such that for any positive integer $n$, $k\times2^n+1$ is a composite number. Such numbers are called "Sierpinski numbers". In this study, by using covering systems and the theory of cyclotomic polynomials, the following theorem is proved: for any integer $m>1$, there are infinitely many integers $k$ satisfying $k\not\equiv-1\!\pmod{q}$ for any prime number $q|(m-1)$, such that for any positive integer $n$, $km^n+1$ is a composite number. These positive integers $k$ are called "Sierpinski numbers based $m$". The theorem can be regarded as a generalization of Sierpinski problem.
Simulaciones interactivas: nuevas herramientas en el aprendizaje contextualizado de la Física universitaria

espanolLas Tecnologias del Aprendizaje y del Conocimiento (TAC), estan orientando los recursos tecnologicos a ser mas formativos, con el objetivo de lograr un aprendizaje para la vida, en funcion a ello, el docente se convierte en planificador de los materiales que investiga el estudiante fuera del recinto universitario y facilitador en el aula. Adicional a esto, los estudiantes universitarios estan muy atraidos por el uso de la tecnologia, proyectando en el docente a la innovacion constante en las sesiones de aprendizaje con metodologias activas y con nuevas herramientas en el aprendizaje contextualizado. La investigacion esta enmarcada en un proyecto factible, y se propone un guion didactico para el aprendizaje de la Fisica Universitaria, donde la metodologia activa a usar es el aprendizaje invertido y la nueva herramienta es el applet de simulacion interactiva PhET de la Universidad de Colorado. La propuesta relacionada al empleo de simulaciones educativas de uso libre, maximizara el aprendizaje, dando lugar a un auto aprendizaje y al desarrollo de capacidades de investigacion, observacion, reflexion, analisis, interpretacion, y sintesis en la adquisicion de sus propios conocimientos. EnglishThe Learning and Knowledge Technologies (LKT), are guiding technological resources to be more formative, with the aim of achieving life-long learning, based on this, the teacher becomes a planner of the materials researched by the student outside the university campus and facilitator in the classroom. In addition to this, university students are very attracted to the use of technology, projecting constant innovation in the learning sessions with active methodologies and with new tools in contextualized learning. The research is framed in a feasible project, and a didactic script for learning University Physics is proposed, where the active methodology to use is inverted learning and the new tool is the PhET interactive simulation applet of the University of Colorado. The proposal related to the use of free-use educational simulations will maximize learning, leading to selflearning and the development of research, observation, reflection, analysis, interpretation, and synthesis skills in the acquisition of their own knowledge.
Reading in Print and Digital Formats: Why Do Students Prefer Reading on Paper?

In higher education there has been a shift from reading in print to reading from digital devices. The strategy of digitalization of education implies the development of the system of on-line and blended learning where learning materials are delivered in a digital format, which means that digital-based reading is becoming a dominant form of academic reading. However, reading in print continues to demonstrate advantage over reading digitally. The article presents an overview of the latest international research in the field of reading in print and digital media. The article intends to answer three questions: What role does the media play in reading comprehension? Why is reading long texts in print more favorable than digital-based reading? What determines students preferences of a reading format?