Reviewerly/exHarmony huggingface dataset:
Providing information in the form of infographic media with Motion as a Graphics Invitation to Understand the Company’s New Culture

-Companies in Indonesia are currently required to have new innovations in conveyinginformation to their employees related to the existence of a new corporate culture. We will take an exampleof research studies at MNC Group; a multinational company engaged in Media, Finance, Property, NaturalResources and Transportation. The problem that occurred at the MNC Group at that time was becausethere was no suitable media to inform the new culture of the company so that the information conveyedwas uneven. This study aims to provide information in the form of infographic media using MotionGraphics as an invitation for employees to understand the MNC Group's new corporate culture. Theresearch method uses the problem analysis, data collection, media design analysis and media productionconcepts. The results of this study are Providing information in the form of infographic media in the formof videos with Motion Graphics that are interesting and contain invitations to the audience / employees toknow and understand the new culture of the company, which will be implemented on the company's TVWall, used in the Employee Induction program, which is shown on Internal meetings and published onYoutube channel. The conclusion of this research is that providing information must be appropriate anduse media that attract the attention of the audience / employee so that the information conveyed can beeffective, efficient and targeted, especially for the delivery of information related to the company's newculture so that it is easily understood and carried out by all employees , and to create stronger employeecommitments to the company and encourage better and better human resource performance from year toyear.
Making Ends Meet: A Survey on Adapting Flexible Learning amidst the COVID-19 Pandemic of the BSIT Program in Davao del Norte State College

The COVID-19 pandemic unwrapped several challenges, most especially in the Academic Sector. To protect students, schools all world-wide have shifted from face-to-face instruction to flexible learning. This study narrates the Davao del Norte State College's sudden transition to flexible learning, particularly the BSIT Program, and how they make ends meet.
What Did This Castle Look like before? Exploring Referential Relations in Naturally Occurring Multimodal Texts

Multi-modal texts are abundant and diverse in structure, yet Language & Vision research of these naturally occurring texts has mostly focused on genres that are comparatively light on text, like tweets. In this paper, we discuss the challenges and potential benefits of a L&V framework that explicitly models referential relations, taking Wikipedia articles about buildings as an example. We briefly survey existing related tasks in L&V and propose multi-modal information extraction as a general direction for future research.
A Defective vP Analysis of the Locative Inversion in English

It has been generally assumed that the locative inversion in English as Behind the tree stood a tall man undergoes at least two processes against the canonical word order. The locative prepositional phrase (PP) is inverted with the main verb (V), and at the same time the subject noun phrase (NP) with that verb. This paper argues that there are no such processes for the locative inversion construction. Rather, the construction is derived by external and internal merge in terms of information structure such as topic and focus. We propose a defective vP analysis that assumes a focus domain and permits a non-thematic external merger.
Interactive 3D visualization for tropical plant species

Augmented Reality (AR) is gaining more popularity nowadays as AR enables the user to see, hear and feel the virtual elements in the real world. The advancement in AR has made an impressive remark in the field of game, education, tourism, exploration, and advertising. In this research, an interactive 3D visualization for tropical plant species is developed. It provides the user with better visualization of plant species through AR. It permits the user to view three-dimensional rotatable models through a marker in a book, on a pamphlet or on signage. It enables the user to have a better idea of how the plants would look like in real life rather than plain two-dimensional images. In order to track the 3D models, markers or image targets are developed to track various 3D plant models. The AR markers developed are rich in detail, good contrast and with no repetitive patterns to have the good tacking ability. This research consists of five main stages which are image acquisition, 3D model construction, marker design, integration of 3D model into marker, and graphical user interface (GUI) design. This application permits the user to access the 3D models of the topical plant species with the availability of the marker anywhere and anytime. In addition, it is portable and low-cost interactive learning material for school children as well as the public.
Data Science in R: Software and Implementations : Keynote Speakers 2

Nowadays, the flood of data can no longer be dammed so that it inundates every corner of our daily activities. For example, we generate data on mobile phone, social media, sensors, applications, etc. Because of these phenomena, data science becomes an emerging field to handle and analyze data. In this research, we proposed two following tasks: to develop R packages/software libraries and to implement data-analysis methods to tackle problems in bioinformatics. In the first objective, we have built four R packages: “frbs”, “RoughSets”, “gradDescent”, and “metaheuristicOpt” that implements fuzzy sets, rough sets, gradient descent, and meta-heuristics optimization algorithms, respectively. These packages can be found in the Comprehensive R Archive Network (CRAN) and is open source software. Moreover, implementations of the data-analysis methods (e.g., Knuth-Morris-Pratt and random projection) in bioinformatics are presented. The implementations utilize R packages included in parallel computing/high performance computing so that the computation cost of experiments can be reduced.
TO UNDERSTAND THE CHALLENGES IN INDIAN CLASSROOMS TO TEACH ENGLISH AS A SECOND LANGUAGE﻿

To turn into a far superior educator, instructors are urged to rehearse 'an intelligent psyche' to have an understanding of what's going on inside the homeroom and unravel what works and wouldn't work (Farrell, 2018). Educators, English language instructor s particularly, are probably going to confront numerous difficulties not just inside the worldwide economy and serious market of English training yet in addition to the requesting idea of an instructing vocation. Along these lines, this investigation is intended to help distinguish the issues and difficulties experienced by 15 educator learners' who embraced their instructing practicum. The account request approach was wont to distinguish the issues and difficulties of their instructing execution. Utilizing accommodation testing in picking the examples, reflection papers and semiorganized meetings were utilized in light of the fact that the instruments to accumulate information. The discoveries showed that, educator's voice, homeroom the executives, showing techniques, learning systems, English correspondence boundaries, jargon information, exercise arranging, instructing evaluation and study hall inspiration were among the issues and difficulties the students experienced. The sign is that, by thinking back, instructor learners would comprehend the pith of a legit language (English) educator, likewise as, to reflect, self -study, evaluate and improve a piece of their instructing. Being aware of the issues and difficulties during a genuine instructing climate can shape instructor learners individual and expert development and might be a legitimate asset for going ahead and to make progress in their educating calling profession.
ALGORITMA KRUSKAL MENENTUKAN LINTASAN TERPENDEK EFEKTIF CALL SALESMAN

The management of distribution visits is a crucial problem experienced by goods product companies (distributors). There needs to be an optimal pattern to determine the shortest route in the goods distribution process. The data obtained are in the form of shop names, distances, and travel routes at PT BSP. The data obtained are then represented in the form of an image and look for the minimum spanning tree of the distribution line. From the calculation of the distance salesmen usually cover a distance of 16,660 m, while using the Kruskal algorithm it is obtained 14,110 m. So there is a savings in the distance obtained along the 2560 m. This study shows that using the Kruskal algorithm is more optimal because the steps taken are more precisely applied in the salesmen's journey problem.
Unsupervised Natural Language Parsing (Introductory Tutorial)

Unsupervised parsing learns a syntactic parser from training sentences without parse tree annotations. Recently, there has been a resurgence of interest in unsupervised parsing, which can be attributed to the combination of two trends in the NLP community: a general trend towards unsupervised training or pre-training, and an emerging trend towards finding or modeling linguistic structures in neural models. In this tutorial, we will introduce to the general audience what unsupervised parsing does and how it can be useful for and beyond syntactic parsing. We will then provide a systematic overview of major classes of approaches to unsupervised parsing, namely generative and discriminative approaches, and analyze their relative strengths and weaknesses. We will cover both decade-old statistical approaches and more recent neural approaches to give the audience a sense of the historical and recent development of the field. We will also discuss emerging research topics such as BERT-based approaches and visually grounded learning.
Pengaruh Penggunaan Media Scrapbook terhadap Hasil Belajar pada Pembelajaran Tematik Siswa Kelas IV SD Gugus X Kota Bengkulu

The purpose of this study was to determine of effect of using scrapbook media on learning result in thematic learning. The type of research is quantitative. The research method is quasi experimental with the type of research design is nonequivalent pretest-posttest control group design. The population is class IV SDN group X Kota Bengkulu. The sample in this study were fourth grade students of SDN 04 and SDN 11 Kota Bengkulu. The technique used stratified random sampling. The instrument used was a multiple choice test. The test is taken before and after learning takes place in the control class and the experimental class. From the results of research and discussion, t-test results are known with a t-value of 4.51 and a table value of 2.02. So with tcount (4.51)> ttable (2.02) at a significant level of 5%, it can be concluded that there is an influence of the use of scrapbook media on thematic learning towards the learning outcomes of Indonesian students in class IV SD X in Bengkulu City. Keywords: Thematic Learning, Scrapbook Media, Learning result
Pemanfaatan Penguasaan Komputer Dalam Menghadapi Ujian Berbasis Komputer Bagi Siswa

The rapid growth of technology and information at this time is really very easy for humans to find and gather information, of course the use of computers as media in obtaining such information is needed. That development also finally had a good impact in several sectors of life, one of which was in the education sector. The use of computers has become indispensable at this time, as evidenced by the existence of a number of computer systems in the implementation of education to migrate for the better, such as the implementation of examinations with a computer based system. However, it seems that this was not welcomed by students due to the low level and the lack of understanding of students in terms of computer mastery, so that computer-based exams became quite difficult for these students. To improve the ability of students in computer mastery, especially students in the Amal Bakti Private High School (SMA) Medan, this community service was carried out. As a result, students' understanding has improved and they have become accustomed to using computers.
Estrategias de enseñanza que fomentan la competencia matemática durante la COVID-19. Teaching strategies that encourage mathematical competence during COVID-19.

The teaching strategies of Mathematics are conceived as a set of actions carried out by the teacher, with the conscious objective that the student learns in the most effective way; they are actions controlled by the teacher and have a high degree of complexity and include the teaching aids for their implementation, control and evaluation of the purposes. Therefore, the research aimed to “evaluate the teaching strategies used by the Mathematics teacher that promote Mathematics competence during COVID-19. The research was framed within the interpretive paradigm, it was descriptive and its design was a case study. The research was carried out in four phases: the first “preparatory” phase; the second phase was carried out field work where an in-depth interview was applied to the teacher. In the in-depth interview, it was found that teaching strategies that promote Mathematical competence present deficiencies in some categories. The third “analytical” phase where the information was reduced, synthesized and transformed; and the fourth “informative” phase where the results are made known and the research is disseminated. It is concluded, the teaching strategies of Mathematics are decisive in the promotion of competences in students, so it should be emphasized that teachers include in their didactic sequences teaching strategies that emphasize the solution of problems based on competencies and not in repetitive and mechanical processes.
Connecting Free Improvisation Performance and Drumming Gestures Through Digital Wearables

High-level improvising musicians master idiosyncratic gesture vocabularies that allow them to express themselves in unique ways. The full use of such vocabularies is nevertheless challenged when improvisers incorporate electronics in their performances. To control electronic sounds and effects, they typically use commercial interfaces whose physicality is likely to limit their freedom of movement. Based on Jim Black's descriptions of his ideal digital musical instrument, embodied improvisation gestures, and stage performance constraints, we develop the concept of a modular wearable MIDI interface to closely meet the needs of professional improvisers, rather than proposing a new generic instrument that would require substantial practice to adapt improvisational techniques already acquired. Our research draws upon different bodies of knowledge, from theoretical principles on collaboration and embodiment to wearable interface design, in order to create a digital vest called Track It, Zip It (TIZI) that features two innovative on-body sensors. Allowing for sound control, these sensors are seamlessly integrated with Black's improvisational gesture vocabulary. We then detail the design process of three TIZI prototypes structured by the outcomes of a performance test with Black, a public performance by a novice improviser during the 2017 International Guthman Musical Instrument Competition, and measurements of sensor responses. After commenting on the strengths and weaknesses of the final TIZI prototype, we discuss how our interdisciplinary and collective process involving a world-class improviser at the very center of the design process can provide recommendations to designers who wish to create interfaces better adapted to high-level performers. Finally, we present our goals for the future creation of a wireless version of the vest for a female body based on Diana Policarpo's artistic vision.
Socioeconomic Profile of Distance Education Students: Relations with permanence

It was proposed in this work to outline the interfering factors of the permanence and non-permanence of the students of the Pedagogy Course of Distance Education, taking as reference the University of the State of MatoGrosso -Unemat.The objective of this study was to analyze the profile of beginner students and graduates of the Pedagogy Degree Course of the class 2014/1 at UAB / Unemat, seeking to understand the factors that interfere in the students permanence and non-permanence.To this end, we look for to map and to know the socioeconomic profile of beginners and graduates, using the socioeconomic questionnaire answered at the time of registration by the candidates, relating to the profile of the graduates.Thus, the results point out that the profile of beginners contrasted with that graduates showed that the students who remained are women (92.9%); browns and mulattos (59.5%); are over 30 years old (76%); are from families that have between one and four people (83.96%); the family income range is from 3 to 10 minimum wages (20.3%), that exercise paid activity on a part-time basis (up to 30 hours a week) (40.09%) and chose the course by identification (41.04%).It was also evident that the profile of students who gave up (did not remain) are men (7.1%), black (9.9%); under 30 years old (24%); live with 5 or more people (9.44%); the family income range is up to three minimum wages (79.2%); they work eventually or they don't work (22,65).Throughout this job, it was understood the needy to develop research with graduates of the UAB System to ascertain the quality of the distance education policy.I.
Ex-Poste Study of Jakarta Flood Disasters from 2000 until 2019

Jakarta is the capital city of Indonesia. The large population has certainly triggered various problems in Jakarta, for example flood. Usually, big flood in Jakarta occur once every five years, but currently big flood can come any time without being predictable. An ex-poste study is needed to dissect the flood phenomenon that occurred in the last 20 years. The purpose of this research is to examine various factors that cause flood in Jakarta, the impacts are caused by flood in Jakarta, and the flood management effort are implemented by Jakarta city government. The research method that is used by the researchers is a quantitative method with a descriptive approach. From the research, flood in Jakarta are happened by natural factor and antropogenic factor. Antropogenic factor can be controlled, but natural factor can’t be controlled. Jakarta has high intensity in antropogenic activity. Large population and population increasing every year certainly poses complex urban problems. Urban complex such as flood can be caused by several factors, include lack of absorption areas, large amounts of waste, erosion, sedimentation, decrease soil levels and low public awareness. Flood in Jakarta give adverse impact for economy, ecosystem, and human activity. Therefore, it is necessary to take some effort for minimizing flood impact with structural efforts, non-structural efforts, and increased community participation.
Temporal Resilience of Phishing Detection Models in Machine Learning

Despite 10 years of research into phishing detection with machine learning, with models yielding greater than .95 F1-scores, in the past 10 years there has been a 277.51% increase in phishing attacks. In this work we examine the efficiency of a phishing detection model in terms of model drift. That is given a trained phishing detection model, how long will the model maintain the performance. It is important to examine and detect model drift for phishing detection because of the changing nature of the internet and subsequent phishing attacks. It is known that phishing URLs change intermittently, which causes models to become obsolete after a period of time.
Concept Paper: An Approach for utilizing Code Files and Diffs for Fine-grained Just-in-Time Defect Prediction

Just-in-time (JIT) defect prediction refers to the technique of predicting whether a code change is defective. Many contributions have been made in this area through the excellent dataset by Kamei. In this paper, we revisit the dataset and highlight preprocessing difficulties with the dataset and the limitations of the dataset on unsupervised learning. Secondly, we propose certain features in the Kamei dataset that can be used for training models. Lastly, we discuss the limitations of the dataset's features.
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs

Real-world knowledge graphs are often characterized by low-frequency relations-a challenge that has prompted an increasing interest in few-shot link prediction methods.These methods perform link prediction for a set of new relations, unseen during training, given only a few example facts of each relation at test time.In this work, we perform a systematic study on a spectrum of models derived by generalizing the current state of the art for few-shot link prediction, with the goal of probing the limits of learning in this fewshot setting.We find that a simple zero-shot baseline-which ignores any relation-specific information-achieves surprisingly strong performance.Moreover, experiments on carefully crafted synthetic datasets show that having only a few examples of a relation fundamentally limits models from using fine-grained structural information and only allows for exploiting the coarse-grained positional information of entities.Together, our findings challenge the implicit assumptions and inductive biases of prior work and highlight new directions for research in this area.
A Study on Factors Influencing Employee Engagement in Selected Banks of Mumbai Region

Employee engagement has emerged as a dynamic concept through increased scientific interest in positive psychological states and value of human capital. There is a limited scope of academic literature in the area of employee engagement as most of the studies are performed by the industrial consultancies. As defined differently by each researcher, till date there is not any universal definition of engagement. The study intended to exhibit the construct of employee engagement in synergy with the existing literature and its consequences. It has a clear insinuation that committed employees create customer stories which make the brand creditable. When considered from management‘s viewpoint, engagement is the practice of leading human capital in appropriate conditions to ensure incessant performance and accomplishment of business goals. While, from the employees‘ viewpoint, it is their perception and psychological status instigated from experiences formed by the management. This paper is modest attempt to know factors influencing employee engagement.In this study, Qualitative as well as Quantitative research approaches (which include exploratory as well as descriptive) have been used in order to dig out the factors influencing employee engagement in selected banks of Mumbai region.
Classification of Sequential Sports using Automata Theory

This paper proposes a categorization of sport that is based on the system of rules that a sport must adhere to. We focus on these systems of rules to examine how a winner is produced in different sports. The rules of a sport dictate the gameplay and the direction it takes. We propose to break down the gameplay into Events. At this junction, we observe two kinds of events – ones that follow sequential logic and ones that do not. Our focus is pertained to sports that comprise sequential events. To examine these events further, to understand how a winner emerges, we take the help of Finite State Automaton from theory of computation (Automata theory). We showcase how sequential sports are eligible to be represented as Finite State Machines. We depict these Finite State Machines as State Diagrams. We examine these State Diagrams to observe how a team/player reaches the final states of the sport, with special focus on one final state – the final state which determines the winner. This exercise has been carried out for the following sports: Hurdles, Track, Shot Put, Long Jump, Bowling, Badminton, Pacman, Weightlifting (Snatch). Based on our observations of how this final State of winning is achieved, we propose a categorization of sports.