Reviewerly/exHarmony huggingface dataset:
Contemporary art in the development of a gifted child’s art-aesthetic thesaurus

The authors substantiate the expediency of referring to the forms and artistic means of contemporary art as integrating mechanisms of the semantic space common to adult authors and children who are passionate about creativity. According to the most important understanding of childhood in the thesaurus approach according to Val.A. Lukov, the preserved past in its correlation with the peculiarities of the childrens subculture, the idea of matching the spontaneous creative actions of the child and the well-thought-out creative method of modern authors who seek to show the creative process itself is justified. The contradiction between the fundamental difference of the adults and children thinking models disappears when the child in the game acts on behalf of the Contemporary Author, showing his talent as actions to structure the fruitful disorder of an unfamiliar educational environment. The thesaurus helps to discover new meanings an accumulated body of knowledge about the world and how it is reflected in art products, sufficient for orientation in this environment. Taking into account the complex effects of the digital age on the child from the real and virtual subspaces, the presence in his thesaurus of contemporary art concepts, embodied in words, visual and musical images, it will contribute to a bright, obvious manifestation of giftedness at the age of 67 years.
Sarana Kohesi Leksikalparagraf Mahasiswa Program Studi Manajemen Universitas Mathla’ul Anwar

This research was carried out in the Management Study Program of the Faculty of Economics, Mathla'ul Anwar University in the compulsory general subject (MKWU) of Indonesian Language which aims to determine the ability of students in preparing paragraphs as well as the use of lexical cohesion tools. From the results of the analysis found four types of repetition include repetition of types that have an impact, intact, partially and change the sound. Repeated types of repetition get the largest number of 15, followed by the type of repetition of the total number of 13, some with the number 5 and change the number of sounds 2. The method used in this research is descriptive analytic. This method is done by collecting data, compiling or classifying data, analyzing and then trying to describe linguistic data in the form of written Indonesian sentences.
Diverse Video Generation using a Gaussian Process Trigger

Generating future frames given a few context (or past) frames is a challenging task. It requires modeling the temporal coherence of videos as well as multi-modality in terms of diversity in the potential future states. Current variational approaches for video generation tend to marginalize over multi-modal future outcomes. Instead, we propose to explicitly model the multi-modality in the future outcomes and leverage it to sample diverse futures. Our approach, Diverse Video Generator, uses a GP to learn priors on future states given the past and maintains a probability distribution over possible futures given a particular sample. We leverage the changes in this distribution over time to control the sampling of diverse future states by estimating the end of on-going sequences. In particular, we use the variance of GP over the output function space to trigger a change in the action sequence. We achieve state-of-the-art results on diverse future frame generation in terms of reconstruction quality and diversity of the generated sequences.
DIL - A Conversational Agent for Heart Failure Patients

There is an exceptionally high rate of readmissions and rehospitalizations for patients suffering from Heart Failure.Best efforts to address this alarming problem from the Caregiver community have fallen short due to a shortage of trained clinical staff, failure to perform necessary self-management, and money.Using a Design Science Research framework, this work designed and evaluated "DIL" (Sanskrit word for Heart), a Conversational Agent that complements the work of clinicians in achieving the desired behavioral and clinical outcomes.The aim is to provide the hospital with an information system that could bridge the current gap in care that occurs when the patient transitions from the hospital to the home environment.In a pilot study, we show that DIL was able to demonstrate the efficacy and utility as a tool to assist patients with heart failure in improving their self-care.
Recommendation System for Thesis Topics Using Content-based Filtering

When pursuing their bachelor degree, every students are required to pursue a thesis in order to graduate from the major that they take. However, during the process, students got several difficulty regarding chosing their thesis topics. Therefore, a recommendation system is needed to classify thesis topics based on the students’ interest and abilities. This study developed a recommendation system for thesis topics using content-based filtering where the students will be asked to choose the course that they interested in along with their grades. After getting all the required data, the recommendation system will process the data and then it’ll show the title and the abstract of publication that fits the criteria.In this research, there are 2 datasets that is used, there are lecturer publication within 3 years and syllabus data of Computer Science UGM course. After running this research, it was found that the recommendation system has an average 7.46 seconds running time. It was also found that the recommendation system got an average 83% of the recommendation system objectives. The recommendation system objectives consist of relevance, novelty, serendipity, and increasing recommendation diversity.
E-learning y blended learning: Estrategias para enseñar y aprender diferente en tiempos de pandemia

In the scientific article, a generalizing conception associated with the use of e-learning and blended learning is presented, due to its non-presential character as a possible strategy during social isolation in the current conditions of pandemic. The systematization carried out is conceived on the basis of conceptually delimiting the e-learning and blended learning categories with the aim of establishing the theoretical positioning of the authors regarding the referred subject. Next, some potentialities of these tools are summarized for their use in the direction of the university teaching-learning process in the current conditions of the pandemic, and finally a group of pedagogical recommendations are provided that can be considered by teachers for the use of e-learning and blended learning in the current psychosocial conditions generated by the COVID-19 pandemic. It is included the modeling of the critical success factors by means of neutral cognitive maps. It is concluded that in the referred conditions, teachers, when conceiving or developing any pedagogical activity, must consider that students, their families and friends go through a complex psychosocial situation, which must be taken into account for the direction of the teaching-learning process in these virtual environments.
Evolution of Basic Communication Strategies in Artificial Agents

Communication and signaling processes are ubiquitous in biological organisms, having evolved throughout the evolutionary tree whenever transmission and receiving mechanisms are present. The work presented in this article addresses, from an evolutionary robotics approach, how a basic communication strategy can emerge in artificial agents through the co-evolution of signalers and perceivers. Although there are many works that model the evolution of the communication processes using autonomous robots, the work presented here attempts to tackle the problem using a different approach. Here, the emphasis is put on the perspective of the perceiver, by examining how the meaning of a signal emerges during the evolutionary process starting from a meaningless cue. This leads to effectively changing the behavior of the perceiver whenever the signal is present. All this is achieved without directly codifying any behavior related to perception in the fitness function of the evolutionary algorithm.
How Cataloging Can Support Changes and Challenges Affecting Our Libraries. A Report of the ALCTS CaMMS Cataloging and Classification Research Interest Group Virtual Session, ALCTS Virtual Interest Group Week, June 10, 2020

The ALCTS CaMMS Cataloging & Classification Research Interest Group (CCRIG) serves as a platform for librarians to discuss their latest research projects in cataloging and classification, and to sh...
Export Variety and Imported Intermediate Inputs: Industry-Level Evidence from Africa

Imported intermediate inputs offer access to lower-priced, higher quality, and a wider variety of inputs that can increase the possibility of producing and selling more diversified products in foreign markets. In this paper, we examine this relationship using a novel manufacturing industry-level data across 26 African countries over the 1995-2016 period. We find strong evidence of a positive relationship between imported intermediate inputs and the variety of exported products. Further analyses in the study indicate that imported intermediate inputs positively affect the variety of exported products because they offer lower-priced, and higher-quality/technology embodied inputs. However, the positive effect of imported intermediate inputs on the variety of exported products depend on industry's absorptive capacity, especially when the inputs are sourced from advanced countries. We discuss the implications of our findings.
On the Non-Linear Diophantine Equation 313x +331y =z2

In this article, authors discussed the existence of solution of non-linear Diophantine equation 313x +331y =z2 where x, y, z are non-negative integers. Results show that the consider non-linear Diophantine equation of study has no non-negative integer solution.How to cite this article: Aggarwal S, Sharma SD, Sharma N. On the Non-Linear Diophantine Equation 313x +331y =z2. J Adv Res Appl Math Stat 2020; 5(3&4): 3-5.Mathematics Subject Classification: 11D61, 11D72, 11D45.
LIFT-CAM: Towards Better Explanations for Class Activation Mapping.

Increasing demands for understanding the internal behaviors of convolutional neural networks (CNNs) have led to remarkable improvements in explanation methods. Particularly, several class activation mapping (CAM) based methods, which generate visual explanation maps by a linear combination of activation maps from CNNs, have been proposed. However, the majority of the methods lack a theoretical basis in how to assign their weighted linear coefficients. In this paper, we revisit the intrinsic linearity of CAM w.r.t. the activation maps. Focusing on the linearity, we construct an explanation model as a linear function of binary variables which denote the existence of the corresponding activation maps. With this approach, the explanation model can be determined by the class of additive feature attribution methods which adopts SHAP values as a unified measure of feature importance. We then demonstrate the efficacy of the SHAP values as the weight coefficients for CAM. However, the exact SHAP values are incalculable. Hence, we introduce an efficient approximation method, referred to as LIFT-CAM. On the basis of DeepLIFT, our proposed method can estimate the true SHAP values quickly and accurately. Furthermore, it achieves better performances than the other previous CAM-based methods in qualitative and quantitative aspects.
Provable Robustness by Geometric Regularization of ReLU Networks

Recent work has demonstrated that neural networks are vulnerable to small, adversarial perturbations of their input. In this paper, we propose an efficient regularization scheme inspired by convex geometry and barrier methods to improve the robustness of feedforward ReLU networks. Since such networks are piecewise linear, they partition the input space into polyhedral regions (polytopes). Our regularizer is designed to minimize the distance between training samples and the \textit{analytical centers} of their respective polytopes so as to push points away from the boundaries. Our regularizer \textit{provably} improves a lower bound on the necessary adversarial perturbation required to switch an example's label. The addition of a second regularizer that encourages linear decision boundaries improves robustness while avoiding over-regularization of the classifier. We demonstrate the robustness of our approach with respect to l∞ and l2 adversarial perturbations on multiple datasets. Our method is competitive with state-of-the-art algorithms for learning robust networks. Moreover, applying our algorithm in conjunction with adversarial training boosts the robustness of classifiers even further.
Pregrammars and Intersection Types

A representation of intersection types in terms of pregrammars is presented. Pregrammar based rewriting relations, corresponding respectively to type checking and inhabitation are defined and the latter is used to implement a Wajsberg/Ben-Yelles style alternating semi-decision algorithm for inhabitation. The usefulness of the framework is illustrated by revisiting and partially extending standard inhabitation related results for intersection types, as well as establishing new ones. It is shown how the notion of bounded multiset dimension emerges naturally and the relation between the two settings is clarified. A meaningful rank independent superset of the set of rank 2 types is identified for which EXPSPACE-completeness for inhabitation as well as for counting is proved. Finally, a standard result on negatively non-duplicated simple types is extended to intersection types.
Research on the Technology of Power Unified Cloud Management Platform

The unified cloud management platform is the core of cloud computing management. According to the technical requirements of the power cloud computing platform, the technical architecture of the power unified cloud management platform is designed, and the functional characteristics of the cloud platform management platform are explained. Combined with the cloud platform components of the State Grid Corporation, the experiment is verified The feasibility and effectiveness of the technical architecture of the cloud management platform.
GSU Library Research Guides: Web Savvy -- General Guide: Sweet Poison

A multi-page tutorial on evaluating web sites, for beginners and those who think they know. A web site creator's questionable qualifications
Comparison of Nave Bayes Algorithm with Genetic Algorithm and Particle Swarm Optimization as Feature Selection for Sentiment Analysis Review of Digital Learning Application

digital learning application, the Naive Bayes algorithm, the genetic algorithm, the particle swarm optimization
PROPOSAL FOR A HIGHER EDUCATION ADMISSION MANAGEMENT SYSTEM WITH THE USE OF OPEN SOURCE TECHNOLOGIES

Higher education institutions are characterized by the growth of the student population, the need to align their programs with market demand, and the adoption of new management and service delivery techniques, making it essential to use information technologies.This research project aims to design an information system prototype for a higher education admission management information system and propose open source software engineering tools that can assist its development.This paper presents the main concepts related to information systems, higher education and open source software.The prototype was designed following the object-oriented software development methodology and the software engineering tools were based on the comparison of two tools to three information system software elements namely forms, reports and web portal.
The Influence of Lunar Phase on the Germination of Creole Corn in a Controlled Environment

Although the influence of lunar phase on plant growth and development has been disregarded by most researchers, there is still little data in the literature regarding the influence of lunar phase within a controlled environment. Objective evaluates the influence of lunar phase on the germination of creole corn and on seedling development in a controlled environment. The experimental design was completely randomized with the following treatments: four lunar phases (full, waxing, waning and new), with four replications totaling 50 seeds per treatment. The treatments started on the first day of the waxing phase and extended to the full phase within the same month, respecting the germination period (nine days) and the length of each moon phase (roughly seven days). The following parameters were evaluated: germination rate, seedling length, fresh and dry weight of shoots and roots. Seedlings germinated during the waning lunar phase were longer and had greater fresh root weight and greater fresh and dry shoot weights than did seedlings germinated during the other phases. However, some limiting factors (long term experiments and in different places in the world) must be considered in future research to determine whether moon phase affects germination. Thus, longer-term, controlled, and modeled studies are needed to analyze external factors, which may influence the germination of cultivar seeds.
Exploring the use of grammatical metaphor in Indonesian EFL learners’ academic writing

Grammatical metaphor is considered to be the key linguistic resource in the creation of academic discourse. In a pedagogical context, identification of grammatical metaphor in students’ writing can be used as a measurement of students’ academic literacy level to determine actions to improve the existing situation. In Indonesian EFL context, students’ grammatical metaphor deployment and development has not been much studied, despite its strategic role in improving students’ academic literacy. This paper presents a first step towards understanding Indonesian tertiary students’ linguistic strengths and weaknesses in academic literacy through the identification of ideational grammatical metaphor deployment and development. Using cross-sectional data from first year and third year students in a State Islamic College in a rural area of Indonesia, the students’ academic writing were analyzed for the deployment of experiential grammatical metaphor. The findings show that the two groups of different levels of participants deployed similar types of reconstrual of experiential grammatical metaphor. Process to Thing transcategorisation was the most frequent type of experiential grammatical metaphor reconstrual across the two groups, while Relator to Process was the most frequent logical grammatical metaphor reconstrual in both groups. Third-year students surpassed the first-year group in the frequency and proportion of instances of grammatical metaphor deployment. This study has shown that the development of learners’ academic writing was limited. Thus, it was suggested that a more explicit pedagogy to expose students to grammatical metaphor and more basic lexicogrammar teaching to enable the students to write academic texts is warranted.
IMPLEMENTASI ALGORITMA SPECTRAL CLUSTERING UNTUK ANALISIS SENTIMEN

Data mining is a study that collects, cleans, processes, analyzes and benefits from data. One of the techniques known in data mining is the Spectral Clustering technique. Spectral clustering is a technique that follows the Connectivity approach, where this method classifies points that are connected or directly adjacent. The purpose of this study is to determine the level of public sentiment towards the 2017 Jakarta Pilkada using the Spectral Clustering method. The test data was obtained from the scraping process on Twitter from October 1, 2016 to April 20, 2017. In this study, input data consisting of tweet data and output data were used in the form of sentiments that have been clustered into 3, namely positive, negative and neutral. Obtained 4571 negative data, 1899 neutral data and 1588 positive data. with the highest possible win rate in the first round on Ahok. In the second round with 2205 data, 604 positive tweets were obtained, 1123 neutral data, 479 negative data for negative tweets. In the second round Anies Baswedan received higher positive and lower negative responses than Candidate Ahok, so that the chances of winning against Anies Baswedan were higher than Ahok.
朝鮮朝《才物譜》名物詞札記

Jaemulbo (Caiwupu) is a dictionary rich in words, and has the nature of an encyclopedia. Giving a brief description of the collection and interpretation of the terms of plants and animals and observing the acceptance of the Chinese characters and words in the Korean Peninsula, this article singles out four myeongmul (meibutsu) words for textual research in order to observe the characteristics of vocabulary spread to ancient Korea. It has four main objectives. The first is to support the authoritative theory. The second is to ignore character and word relationships that lead to errors although scholars know that glyphs can be used universally. The third is to be cautious not to follow them blindly. The last is to influence the culture of the nation’s famous objects. It is expected that this research can make a significant contribution to the future studies on the spread of Chinese characters.
Adjusted Individual Educational Report Sebagai Media Konstruksi Komunikasi Pihak Sekolah dan Stakeholders

The problem is the construction of social reality in formulating AIEP (Adjusted Individual Educational Program) and making AIEP as a more objective, adaptive and realistic representation of coordination as a communication media for schools, parents and stakeholders. The method is descriptive qualitative. The result showed that the application of the concept of AEIP is very useful because it can accommodate various needs of students. It is no longer appropriate to apply the same assessment tools to all students because they have different abilities and needs. On the other hand, there is urgency to the case of students with special needs who choose to study in public schools. These students need their own assessment tools because they have unique abilities and are not owned by the average normal student. One of the tools to assess students with special needs is to create an IEP program. Through IEP, teachers and other team members can create a special curriculum for these students, but still based on the school curriculum in general.
Audit Sistem Informasi E-Government Menggunakan Framework COBIT 4.1 (Studi Kasus Pada Pemerintah Daerah Kabupaten Bandung Barat)

In the current era of globalization, the progress of Information Technology (IT) is very rapid making Information Technology also an enabler in the Government to improve efficiency, effectiveness, transparency and accountability of government administration. West Bandung Regency Government has implemented E-Government in carrying out the administration. In its implementation, the KBB Local Government e-Government still has various problems, one of which is that the public service applications that are not integrated with the KBB Local Government e-Government. This indicates that the level of E-Government governance in the KBB Regional Government has not been maximized. Therefore, it is important to conduct an Information System Audit to assess how mature IT e-Government Governance is in the KBB Regional Government so that IT Risk does not have a broad impact. This SI audit is carried out based on the COBIT 4.1 framework, because COBIT is specifically used to measure and assess IT Governance and management of an agency or organization. This SI audit refers to 7 IT Processes related to E-Government namely, PO1, PO4, PO7, AI2, AI3, DS1, DS7, ME2 and ME4. Data collection is done by observation, interviews, gathering documentation and questionnaires in the form of KKA.
Automatic Question Generation with Pre-trained Masked Language Models

In this project, we study the task of generating a question from a given passage-answer pair using pre-trained masked language models. Asking questions is of importance in artificial intelligence d ...