Reviewerly/exHarmony huggingface dataset:
Practical Application of Bullet Point Systems for Constructing an Information Hierarchy

Bullet point systems are widely employed in digital communication. However, very few people are concerned with how bullet points work for communication purposes. There is a need to explore how bullet points could influence the attention of readers. Some aspects of typographic design are arranged as various data models. However, there is a limited understanding of how this data is transformed into information and knowledge. This study aims to explore ordinary people’s understanding of bullet points and their various functions in digital applications. In order to achieve this, a pilot study was conducted. The relationship between people’s attended information and elicited emotional changes was investigated. The relationship between emotional concerns and communication design those implied in bullet point systems application would be understood. The insights put forward in this study will suggest approaches that will enable information engineers to prepare the foundations of a well-organised document.
Framework TPACK using Quick Response (QR) code to promote ICT literacy students in learning physics

Abstract Teachers are an important instrument in finding a new role that is more contextual and relevant to 21 st century learning concepts offered a demanding professionalism of teachers in integrating technology, pedagogy and content knowledge (TPACK) in learning. This research aims to design a learning device in accordance with the framework using technology TPACK Quick Response (QR) Code to promote ICT literacy skills of students. The subjects were 95 students menangah school (high school) class X at SMAN 6 Yogyakarta. These results indicate that the instrument developed ICT literacy test had a reliability 0.84. Criteria for each item has a value of 0.98 with the criteria infit meansquare grains fit with the model of Rasch (meansquare infit ≤ 0.77 ≤ 1.33) with both criteria. Cohen’s interpretation of the value of f at 0:33 in the category of large effect size. TPACK Framework Using Quick Response (QR) Code that was developed has a positive effect with the high category in enhancing ICT literacy of students.
A Study on the Exploring Future Core Competencies based on Competency-based Talent Establishment : Focusing on the Department of Asian Culture

The purpose of this study is to apply it in the field of the future education through the development of curriculum based on the establishment of competency-oriented human resources model in the field of Oriental culture. In order to achieve the purpose of research effectively, the basic concept of capacity-based is established through literature analysis first, and the human resources model is explored and selected. In addition, after examining prior research on competency-based curriculum in other fields, the research was conducted focusing on cases of developing curriculum for establishing competency-based human resources model in the Department of Asian Culture at A University. As a result of the research, the realistic requirements that accompany the university education site and various problems based on the development of the competency-oriented human resources model were discussed. In order to achieve the effectiveness of capacity-based curriculum development, it is necessary to provide administrative and financial support at the school policy level and attitude of interested parties that inevitably accompany the development and utilization of the curriculum. Discussions such as evaluation methods will be a future challenge after the on-site operation of the later developed curriculum.
Conquistando Soacha - Herramientas pedagógicas para intervención de dificultades relacionadas con los dispositivos básicos de aprendizaje

The objective of this paper is to design and implement pedagogical tools that allow teachers to intervene in difficulties related to basic learning devices (DBA), with a qualitative descriptive and explanatory approach. The results show the influence of motivation at school, since they are based on addressing the competition, that all students have the opportunity to obtain compliments and showing their learning, this when they had to write their self-evaluations and with the design of tests that They addressed all skills, from math, drawing, coloring, and matching. In the same way, it was applied when designing activities available to everyone but requiring effort, reflected in  activities  such  as  those  of  attention to  coloring, when  copying  the drawings  and  those of mental agility, so this was addressed when presenting material with which students feel comfortable and interested in doing. In addition, the feedback, plans and suggestions that were given to the students for the solution of the activities are achieved in the relationship.
Theoretical conceptualizations of Educational Interest Focused on Mathematics Learning

The purpose of this study is to theorize the conceptualizations of educational interest focused on mathematics learning and investigate the directions to increase students’ interest on mathematics. This study reconsidered the interest theory of Dewey, classification of situational interest and individual interest, and the experimental researches of mathematical interest. The conceptions of educational interest on mathematics learning are as follows. First, mathematical interest refers to the total experiences that individual feels the need to engage in mathematical objects. Second, making a distinction between situational interest and individual interest is effective to suggest educational interventions in order to imprive students’ learning interest. Third, interest is characterized by affect, cognition, and value. According to the conceptions of educational interest on mathematics learning, this study suggests that we should develop or construct good mathematics tasks to increase students’ interest on mathematics. A good mathematics tasks consider both students’ understanding and students’ affection and provide activity’s goals or values to be noticed by students.
What affects the choice of a JavaScript framework : Interviews with developers

In recent years frameworks for JavaScript has become a large part of web development. There has been a lot of discussion between developers which framework to use when developing a project since th ...
Risk decision based sensor scheduling in target tracking

Purpose This paper aims to introduce a new target tracking method based on risk theory in a 2-D discrete environment. After that, the related sensor scheduling method is proposed. This can make up the blank of target tracking and sensor management in the 2-D discrete environment. Design/methodology/approach The definition of risk is proposed based on risk decision theory firstly. Then the target tracking model in a two-dimensional discrete environment is built. The motion state updating and estimation method of target’s motion state based on Bayes theory is given. Thirdly, the method of computing sensor emission interception risk is provided. Afterwards, the optimization rule of obtaining the minimum risk is followed to model the sensor scheduling objective function. The lion algorithm is adjusted and improved combined with Chaos theory to generate the optimal sensor management projects. Findings The risk-based sensor target tracking method and sensor management method are both effective in a 2-D discrete environment. Originality/value To the best of the authors’ knowledge, this paper is the first to study the target tracking method and sensor scheduling method in a 2-D environment. Furthermore, the lion algorithm is improved combined with Chaos theory to show a better optimization performance.
Wolfgram Subject Guides: Library Tips & Tricks for Graduate & Doctoral Students: Searching for Articles, Ebooks, & Streaming Video

Information about library services and resources to meet the unique needs of graduate and doctoral students.
An Survey on Breast Cancer in Machine Learning

Context: With the fast development of information in biomedical and social insurance networks, it has been a troublesome assignment to separate learning rapidly from accessible information. Breast cancer ahead of time can diminish the hazard rate of life; numerous investigations have demonstrated the relationship of AI calculations in various malady expectation. As health care needs timely and accurate performance for diagnosis, we are making use of data for better understanding about stage of cancer, prediction, effective decision making, maintenance of breast cancer record, organizing structured and unstructured data to give accurate results. This paper summarizes a traditional survey and the importance of dataset in health care machine learning can be implied.
Lament

Lament is an interactive cabaret song in which skeletal upper body motion capture of the vocalist drives musical outcomes. The cabaret context in part drives the musical content of the work, which draws from popular, experimental, and minimalist musical traditions. The performer movements are influenced by both flamenco and Argentine tango dance technique, but are representative of neither. While some melodic and harmonic content is fixed, the system employs machine learning techniques to generate melodies in real-time. Other harmonic and melodic content is determined by the relationship between one part of the performer's body and another.
Libraries: Creative Commons and Public Domain: Home

This guide explains how to find free images, videos, and sound files for your class projects and how to give proper attribution to the creator.
Fuzzy Decision Making System for Better Staff Performance Appraisal in Institutional Organization

Performance of an educational institution primarily depends upon the performance of teachers. Methodical and continuous assessment enhanced overall teaching capabilities and further development. The sixth pay commission specified certain criteria to evaluate the performance of teachers in terms of Teaching, Learning, Evaluation, Research, and Publication and so on. Human thoughts and thinking can only be defined by fuzzily because these are uncertain and vague, we cannot measure it in terms of crisp value. In the proposed model, the aim is to build up a fuzzy inference system (FIS) for measuring the performance of university teaching staff using Matlab software. In this way, we explore various influencing factors to measure performance matrix.
PENGARUH PELAKSANAAN PELATIHAN TERHADAP PEMAHAMAN GURU TENTANG ALAT PERAGA EDUKATIF

An understanding of learning media is very important for a teacher. Appropriate learning media can make it easy for teachers to deliver learning materials more efficiently and effectively. Kindergarten teachers in  Koto V Kampung Dalam are still constrained in making learning media understand and the research conducted is a pre-experimental design research on teachers who take training in making educational teaching aids in District V Koto Kampung Dalam Padang Pariaman Regency. The study design is one group pretest-post test design. The study was conducted on 22 training participants. The data was processed using SPPS version 21. The results showed that there was an effect of the implementation of the training on teachers’ understanding of educational teaching aids. The training that has been done has increased the understanding and skills of teachers in making educational media aids, it is recommended to teachers to utilize the skills that they have in their daily life as a teacher.
PENGEMBANGAN APLIKASI ABSENSI SISWA BERBASIS ANDROID DI PUSAT INFORMASI & BIMBINGAN KONSELING SEKOLAH MENENGAH KEJURUAN SAMARINDA

Android based attendance application development and test eligibility for Android based attendance app at vocational High School Information Centre and Counseling Center Samarinda. This type of research is a type of development research using WATERFALL development model. The results of this study are: 1) In previous research student attendance application is only desktop based while in this research the Android based attendance application is published into digital form which can be a form of student license and can be accessed online anywhere. 2) application feasibility test can be seen from the assessment results of the media experts obtained an average score of 4.35 categories is very good. The results of the trial by the teacher gained an average score of 4.4 categories and testing application test results to 23 students obtained the average score of 4.3 The category is very good, so as to refer from the assessment result is concluded that the application of the Android based student attendance is worth using .
Internet of Assistants: Humans Can Get Assistance Anywhere, Anytime and Any Areas

Internet of Things (IoT) applications such as Smart Cities, Smart Healthcare, etc. are tremendously on the rise which leads us to the research domain of how humans interact with the smart environments in terms of privacy, autonomy, and efficiency. One such research domain is that of intelligent personal assistants that target the participants of the smart application environments. So far, studies in the area of Personal Assistants (PA) mainly contribute towards assisting individuals in interacting with the smart environment with respect to their privacy and autonomy. We would like to take the PAs to the next level so that we could provide customized services to them based on their privacy settings. In this paper, we introduce a new paradigm called the Internet of Assistants (IoA) where assistants from personal and smart environments are interconnected so that they can interact with each other using ontology. We provide the architectural framework called Evolutional Smart Assistant Platform (ESAP) that enables the successful implementation of smart assistant applications. IoA provides numerous possibilities of applications few of which are discussed in this paper. For instance, in a smart eating environment, a PA of a diner can interact with a service assistant (SA) of a restaurant to provide a customized, enjoyable and healthy dining experience.
Linguistics Metafunctions of Academically Historical Engineering Text and Its Implications towards in Teaching Reading in ESP Context

This paper aims at exploring the linguistics characteristics of historical text in academically engineering textbook by investigating the linguistics metafunctions of the text based on Systemic Functional Linguistics theory. Investigating the textualization of historical text to achieve its roles and purposes for presenting and recounting events in the past requires critical analysis on the use of lexico-grammatical and discourse-semantic linguistics resources by identifying the textual, interpersonal, and ideational functions of the text. The findings showed that historical text, as kind of text that belongs to the genre of recount, is structured by (1) the constant and continuous thematic progression to point out the remarkable events happened in the past, (2) declarative clauses having positive polarity and validity for the past time, (3) the predominance of material clauses showing the emphasizing on recounting the action done by engineers in the past. This study suggests teacher to provide explicit assistance for students to understand the meaning and function of the elements constructing the nominal group which textualize the lexical density of the text and the clause complexes in terms of clauses’ dependency relation based on their meaning, context and function.
Techniques for Resource Sharing in Cloud Computing Platform

Cloud Computing has revolutionized the way Information Technology (IT) operates. Resource sharing in the cloud enables multiple users or providers to share resources, which improves the utilization of their resources. In the cloud, aggregated resources create a resource pool. The resource pools handle the dynamic demand of IT. Resource sharing enables cloud providers and customers to reduce their capital expenditure, operational expenditure, and total cost of ownership. Multiple cloud service providers connect to form a federation to share their resources among themselves to meet the dynamic demand of their customers. This chapter discusses the resource sharing in Intercloud, Social cloud, Mobile cloud, Manufacturing cloud, Vehicular cloud, and Green cloud. In each cloud, the various resource sharing approaches, strengths, and challenges are discussed.
Taxonomy on Text classification Methods and Viewpoint

Now a days, there is tremendous progress in the quantity of composite documents and transcripts that need an in-depth knowledge of machine learning concepts to precisely classify texts in real time. Though there are many different methods that has given good results in literature, but they are dependent on interpreting difficult models and non-linear relationships within data. Even with all these, selecting relevant structures and practices for text classification is tricky task for many of us. Here we provide, a brief discussion on text classification procedures, highlighting the limits of each of its method in real-world applications.
Library Guides: Scholarly Identity: A Guide: Promote on Social Media

A guide on how to manage, promote, and protect your online scholarly identity as a current or future researcher, academic, or scholar.
Guides @ UF: Course Reserves for George A. Smathers Libraries: Contacts

Learn about Course Reserves and how they can contribute to your teaching and learning experiences.
Guides: FAST START Workshop Series for Researchers New to OSU: Workshop Descriptions

FAST START Workshops cover a range of topics to introduce OSU faculty and graduate students to research support resources. FAST START Workshops are open to new OSU faculty and graduate students
Resource Efficient Representation of Machine Learning Models : investigating optimization options for decision trees in embedded systems

Combining embedded systems and machine learning models is an exciting prospect. However, to fully target any embedded system, with the most stringent resource requirements, the models have to be de ...
Research Guides: Music Theory: Web Resources

A guide for undergraduate and graduate researchers of music theory Links to online aural and written theory practice
Современные тенденции функционирования национального информационного поля Республики Беларусь

Based on the analysis of classical theoretical concepts in the f ield of media sociology and empirical data from sociological studies, current trends in the functioning of modern national media space are highlighted. The formation of the practice of clip consciousness and stereotyping of thinking in the audience as a form of adaptation to voluminous information f lows is noted. This circumstance determined the redistribution of informational influence on the audience from traditional media in favour of network resources.
Contemporary Data Science for Finance Students: A Comparative Study of Essential Features of Commonly Used Statistical Software

In this paper, we compare some of the essential traits of the software preferred by researchers, students, and professors, such as R or RStudio, or Matlab. In order to fill the gap in the Romanian literature and help finance students in choosing proper tools according to the research purpose, this comparative study aims at bringing a fresh, useful perspective in the relevant literature. In Romania, the use of R was the focus of several international conferences on official statistics held in Bucharest, and others having business excellence, innovation, and sustainability as purpose, while Eviews is recommended and taught by the Romanian professors. At this time, at a global scale, R programming language is considered the lingua franca of data science, as common statistical software used both in corporations and academia. In this paper, I analyze the basic features of such software, with the purpose of application in finance.
LibGuides: IED-PK | How to Get Copyright Clearance: Home

The purpose of this guide will assist you to get permissions for learning materials and their fair use.
TPACK Analysis on Self-Study of High School Mathematics Teachers Using Technology

The purpose of this study is to introduce self-study as a way to increase the ability of mathematics teachers to use technology and to clarify the effects of self-study through TPACK. The subjects of study were three teachers who participated in the S high school’ mathematics teacher learning community. The research method qualitatively analyzed the self-study process of three teachers based on the data including the self-study process and pre- and post-TPACK measurements. According to the self-study phase, TPACK changes were examined through the cases of high school teachers who practiced self-study on the use of GeoGebra. Based on this, the effort to use technology gave implications for the necessity of educational support as well as individual teacher’ effort.
Brain Inspired Neural Network Models of Visual Motion Perception and Tracking in Dynamic Scenes

Author(s): Kashyap, Hirak Jyoti | Advisor(s): Krichmar, Jeffrey L | Abstract: For self-driving vehicles, aerial drones, and autonomous robots to be successfully deployed in the real-world, they must be able to navigate complex environments and track objects. While Artificial Intelligence and Machine Vision have made significant progress in dynamic scene understanding, they are not yet as robust and computationally efficient as humans or other primates in these tasks. For example, the current state-of-the-art visual tracking methods become inaccurate when applied to random test videos. We suggest that ideas from cortical visual processing can inspire real world solutions for motion perception and tracking that are robust and efficient. In this context, the following contributions are made in this dissertation. First, a method for estimating 6DoF ego-motion and pixel-wise object motion is introduced, based on a learned overcomplete motion field basis set. The method uses motion field constraints for training and a novel differentiable sparsity regularizer to achieve state-of-the-art ego and object-motion performances on benchmark datasets. Second, a Convolutional Neural Network (CNN) that learns hidden neural representations analogous to the response characteristics of dorsal Medial Superior Temporal area (MSTd) neurons for optic flow and object motion is presented. The findings suggest that goal driven training of CNNs might automatically result in the MSTd-like response properties of model neurons. Third, a recurrent neural network model of predictive smooth pursuit eye movements is presented that generates similar pursuit initiation and predictive pursuit behaviors as observed in humans. The model provides the computational mechanisms of formation and rapid update of an internal model of target velocity, commonly attributed to zero lag tracking and smooth pursuit of occluded objects. Finally, a spike based stereo depth algorithm is presented that reconstructs dynamic visual scenes at 400 frames-per-second with one watt of power consumption when implemented using the IBM TrueNorth processor. Taken together, the presented models and implementations provide the computations for motion perception in the dorsal visual pathway in the brain and inform ideas for efficient computational vision systems.
Financial Development, Economic Performance and Democracy:Methodological Issues and New Estimates

This paper investigates the long-term effect of financial development on economic growth using annual data for 67 countries over the period 1971 to 2007. Both autoregressive distributed lag (ARDL) and cross-sectionally augmented autoregressive distributed lag (CS-ARDL) models are applied to count for crosscountry heterogeneity and error cross-country dependence. The results uphold a positive and significant effect of financial development on long-run per capita output. There is also some evidence of a non-linear relationship between financial development and growth. However, the analysis also reveals that the results derive primarily from non-democratic countries.