Reviewerly/exHarmony huggingface dataset:
Minat Pendidik Dalam Pemanfaatan Media Pembelajaran

In the learning process, the media as a tool has a very big role in improving the quality of learning in a place.The research title is Lack of Teacher or Educator's Interest in Using Learning Media.The purpose of this study is to examine how far an interactive dialogue between a teacher and students is done dynamically and efficiently in early childhood education.The research method using is descriptive method.Data collection techniques by looking at the conditions around, reading info and reading books connecting to learning media.The research subject is an early childhood teacher.The results of the research showed: 1) educators easily give lessons with a variety of learning methods that are assisted by a learning medium including digital media, 2) media is a need that cannot be separated in all aspects, 3) not all teachers are able to use assistive devices learning media, 4) the instructor has difficulty when delivering his learning material, because he cannot display the subject matter.
Making the most out of available Metadata

Metadata are essential for finding, accessing, and reusing scholarly content, i.e. to increase the FAIRness [Wilkinson et al. (2016)] of datasets and other scholarly resources.
Differences in virtual and physical head orientation predict sickness during head-mounted display based virtual reality

When we rotate our heads during head-mounted display (HMD) based virtual reality (VR), our virtual head tends to trail its true orientation (due to display lag). However, the exact differences in our virtual and physical head pose (DVP) vary throughout the movement. We recently proposed that large amplitude, time varying patterns of DVP were the primary trigger for cybersickness in active HMD VR. This study tests the DVP hypothesis by measuring the sickness, and estimating the DVP, produced by head rotations under different levels of imposed display lag (from 0 to 200 ms). On each trial, users made continuous, oscillatory head movements in either yaw, pitch or roll while seated inside a large virtual room. After, we used the level of imposed display lag for the condition, and the user’s own tracked head-motion data, to estimate their DVP time series data for each trial. Irrespective of the axis or the speed of the head movement, we found that DVP reliably predicted our participants experiences of cybersickness. Significant positive linear relationships were found between the severity of their sickness and the mean, peak and standard deviation of this DVP data. Thus, our DVP hypothesis appears to offer significant advantages over existing (general) theories of motion sickness in terms of understanding user experiences in HMD VR. Instead of merely speculating about the presence, or degree, of sensory conflict in a particular simulation, DVP can be used to estimate the conflict produced by the active HMD VR. Importantly, this DVP is an objective measure of the stimulation (not an internal model of the user’s sensory processing). Compared to its many competitors, DVP also appears to provide a simpler operational definition of the provocative stimulation for cybersickness (since it is focussed only on movements of the head; not the body or limbs).
The Sector CSIRT Framework: Developing Sector-Based Incident Response Capabilities.

The U.S. Department of State, Office of the Coordinator for Cyber Issues commissioned the Software Engineering Institute (SEI) to create the Sector CSIRT Framework for (1) developing a sector-based computer security incident response and coordination capability and (2) integrating this capability into a larger national cybersecurity ecosystem as applicable. The framework is a guide for helping interested parties develop the policies, processes, and procedures necessary to operationalize a sector Computer Security Incident Response Team (CSIRT), a uniquely adapted, specialized incident response team. The framework outlines a process that moves the sector CSIRT from concept to reality. The framework helps the team developing the sector CSIRT understand the current conditions of incident response in the sector (i.e., the as-is state) and how to move it to a robust operating state (i.e., the to-be state). It bridges the gap between these two states using a well-defined roadmap and implementation process.The Sector CSIRT Framework is intended for individuals and organizations—including CSIRT managers, national CSIRTs, and others—who are developing or implementing a sector CSIRT. Using this framework, these individuals or organizations can move a sector CSIRT from a concept to the reality of a fully operational team.
LibGuides: Teach Yourself Tech: Tech Tip of the Month

Free online computer and technology courses, quick tutorials, tips from Tech-Talk and more, on computer basics, popular software programs, Internet security, social media, . . .
QUT Digital Media Research Centre submission regarding 2021 report on combating glorification of Nazism, neo-Nazism and other practices

We welcome the opportunity to contribute to this report. In general terms, our research focuses on the challenges of addressing the spread of harmful content online. One of the biggest challenges of content moderation is that platforms primarily focus on the most acute and blatant manifestations of racism, to the exclusion of more common forms of racism. Our research suggests that dealing with the normalisation of racism in everyday communication ought to be a key priority for digital platforms. We suggest that, to combat the glorification of Nazism and neo-Nazism, it is important to understand and address that: 1. Humour and play are used online to mask racist speech and conduct, incite hatred, and recruit members of extremist groups. 2. Extremists adopt other personas online to incite tension, spread disinformation, and dehumanise racial minorities. 3. Extremists hijack and appropriate keywords from social justice movements to manipulate search algorithms and promote racist content. 4. Bad actors use bots and automation to promote racist agendas across digital platforms. These issues highlight the need for more research, advocacy, and experimentation to develop more sophisticated, cross-platform, contextually sensitive approaches to content moderation.
Discussion of “A Gibbs Sampler for a Class of Random Convex Polytopes”

I commend the authors for their efforts in revisiting the DS framework for statistical inference, but from a computational perspective. It is perhaps untraditional for the Theory and Methods sectio...
Intelligent Lighting Control System based on Big Data and Seasonal Depression Control

Seasonal affective disorder, also known as winter depression, is a mood disorder caused by climate change. It has a unique pathogenesis, and the key to diagnosis is obvious seasonal onset and spontaneous remission of symptoms. Seasonal affective disorder has a significant impact on people's life, medical workers should accurately identify, timely treatment and intervention. As a unique treatment method, light therapy plays an important role in the treatment of seasonal affective disorder. There are some problems in the operation of the traditional lighting control system, such as the regulation is difficult, unreasonable equipment selection, etc., this paper briefly introduces the characteristics of the intelligent lighting control system based on big data, such as control flexibility, to be able to access different sensors, automatically adjust the lighting brightness and so on, puts forward a intelligent lighting control system based on big data design points. Meanwhile, the intelligent lighting control system based on big data and the control of seasonal depression were studied, and the main symptoms of seasonal affective disorder, susceptible population, pathogenesis, treatment and prevention were further elaborated.
A ludicidade como prática pedagógica significativa no desenvolvimento expressivo na educação de jovens e adultos (EJA) de Maceió-Al

This work aimed to analyze the presence of playfulness in the teaching and learning space of the Education for Young People and Adults program (EJA, in Portuguese) in ten public schools of Maceio, in the Brazilian state of Alagoas. Playfulness is presented as a methodological resource to the students of the EJA program to develop their expressiveness, acquire knowledge fully and satisfactorily in all its dimensions: cognitive, affective, interpersonal, autonomous, and critical of the world. This type of study corresponds to a social phenomenon, therefore qualifying as a qualitative investigation, with a phenomenological approach and epistemologically based on a case study. From the results, it is noted that playful activities are significant for self-expression and communication in the teaching and learning process of the Arts module. However, there is a lack of perspective in the understanding of the word “playfulness”, as well as better training for its effective applicability in the classroom, so that there is no distance from theory and practice, as it was reported by students in the research when they state that there is no playfulness in the educational process. The result of the investigation will help the municipal education department to promote, improve and encourage research scholars to act actively to serve as advocates of good experiences and positive relationships for the transformation of this form of teaching and the image of the EJA student.
The relationship between organizational change and knowledge management strategies: A systematic review

It is evident that organizations applying a knowledge management framework benefit from the data and information required on any occasion while ensuring that all elements, including accountabilities, processes, technologies, and governance, perform accurately. Any changes in the organizational process, project, or service may disturb the knowledge management framework. This study provides a comprehensive analysis of 5 research articles published in conference proceedings and journals from 2000 to 2021 in the context of the relationship between knowledge management and implementing a successful organizational change. Furthermore, this study proposed an extended framework to manage changes in organizations. This study also conducts secondary and primary research to get the opinion of professionals while they face issues in managing KM framework during change management. This study attempts to show the recent research progress in knowledge management during organizational change management and proposed an integrated framework to manage changes under the KM framework so that pitfalls of KM might be reduced during an organizational change.
Strategies for The Exploration of Agribusiness Policies and Initiation for Poverty Reduction in Nigeria

Agribusiness innovation has contributed to the economic development and industrial capabilities of many countries thereby reducing poverty. However, the potentiality of agriculture in Nigeria has yielded little output due to political and institutional challenges. The cardinal objective of this study is to explore the agribusiness policies and initiatives as a strategy to mitigate poverty in the Nigerian context. Hence, the study employed qualitative research design and collected data from fifteen informants on the strategies to reduce poverty in the study area. Accordingly, findings from the survey indicated that the National, state, Non-governmental organizations, private firms were the main activities applied in pushing agribusiness. Conversely, poor political will, financial constraints, scarcity of agro-allied industries, marketing difficulties, low awareness and enlightenment among the farmers were observed as the major challenges of agribusiness initiatives in Bauchi state. Yet, the results revealed that agricultural revenue, food security, employment opportunities, the involvement of public, private and the NGOs in agribusiness shall accelerate the production of animals and crops. Therefore, the study proposed for steady political commitment from the government through expansion of capital resources in addition to public and private collaboration in agribusiness. The improvement of infrastructural facilities in the state, establishment of marketing boards, and mechanized farming.
A New Consensus Protocol for Blockchain Interoperability Architecture

Blockchain is widely recognized as a potential disruptive technology that has gained much popularity recently. Despite many promising results, the current blockchain landscape is fragmented, in which many blockchain systems exist in silos. Interoperability becomes a critical functionality to facilitate broad blockchain adoption and starts to attract attention in both industry and academia research. In this paper, we propose a new consensus protocol, Multi-tokens Proof of Stake (MPoS), for blockchain interoperability architecture. The MPoS protocol is able to strengthen the token network effects in a cross-chain ecosystem and grow the user base of blockchain systems dramatically. We also provide an analytical model to analyze and proof that the MPoS protocol can offer better security compared to traditional single-token PoS consensus protocols.
A Survey on Various Stemming Techniques for Hindi and Nepali Language

Stemming is considered to be an important step in the field of natural language processing. Any word may be represented in various forms as per its use in a sentence or a paragraph. The various forms of the word are derived from one root word. This root word is called stem and the process of extracting the root word is known as stemming. As an example, words like singing and singer have the root word sing. The stemming technique particularly finds its use in the field of information retrieval where it contributes to efficient retrieval. The underlying algorithm used by various search engines like Google uses stemming for mapping a user’s query which is put in various word forms to a base word or stem. This paper highlights several stemming techniques which have been developed for languages like Hindi and Nepali.
Establishing Gender Sensitive Witness and Victim Protection Measures in Complex Criminal Cases

The justice system relies heavily on evidence to establish the commission of a crime.In most complex criminal cases such as human trafficking and terrorism, these evidence are not readily or easily accessible for a number of factors.One of such reason is that most times victims may be dead and so cannot give oral testimony of what happened to them.Another reason is that where the victims or witnesses of complex crimes are children or women, they are usually vulnerable and are over taken with fear of what may happen to them or members of their family if they reveal the truth of what they know.For this reason, it is difficult for them to step out to give evidence to the police not to talk of give oral testimony in the open court of what they witnessed.Where in the cause of an investigation of a crime the police however stumbles on human who witnessed the commission of a crime or is a victim, it is the duty of both the investigator and the prosecutor to protect such vital witness knowing how sensitive and vital their evidence would help to bring about closure on the perpetuators of the crime.This paper identifies the challenges of witnesses and victims of complex crimes (such as terrorism) in supporting the justice system by giving evidence of the commission of a crime without being protected by the State.For this reason the paper proffers solutions on witness protection measures that can be made available to them.
Recognition of Indian Sign Language using SVM Classifier

Abstract : Sign language is the medium of communication for the hearing impaired people. It uses gestures instead of sound to convey meaning. It combines hand-shapes, orientation and movement of the hands, arms or body, facial expressions and lip-patterns for conveying messages. Different types of project are done against deaf, mute, hard hearing people. A system with computer human interface is proposed for sign language recognition. But there is country wide variation available in that project. The main idea of this project is design a system which is useful for communication of that people with outside world in any public places, so that no need to interpreter in public places. In that project we need the isolated images in the form of database with Indian sign language of numeric sign. A regular camera is useful for acquiring this numeric sign. Principal Component Analysis (PCA) is used for pre-processing, in which the removal of redundant and unwanted data is done.
LA VIRTUALIDAD Y EL PROFESORADO

Undoubtedly, teachers have an essential role in the inclusion and integration of technologies.  That is where the need for identifying and defining the pedagogical functions of the online teacher. The aim is to analyze the virtual classroom and, specifically, the functions of teachers in these environments through this investigative work.
Design of High School Biology Learning Activities Based on Scientific Practice

This article takes "enzyme innovation experiment" as an example.In the real problem situation, based on the core literacy of the subject, it guides students to use knowledge and technology through scientific practice to cultivate students' high-level thinking, knowledge transfer and problem solving abilities.
Investigating Active Learning in Interactive Neural Machine Translation

Interactive-predictive translation is a collaborative iterative process, where human translators produce translations with the help of machine translation (MT) systems interactively. Various sampling techniques in active learning (AL) exist to update the neural MT (NMT) model in the interactive-predictive scenario. In this paper, we explore term based (named entity count (NEC)) and quality based (quality estimation (QE), sentence similarity (Sim)) sampling techniques – which are used to find the ideal candidates from the incoming data – for human supervision and MT model’s weight updation. We carried out experiments with three language pairs, viz. German-English, Spanish-English and Hindi-English. Our proposed sampling technique yields 1.82, 0.77 and 0.81 BLEU points improvements for German-English, Spanish-English and Hindi-English, respectively, over random sampling based baseline. It also improves the present state-of-the-art by 0.35 and 0.12 BLEU points for German-English and Spanish-English, respectively. Human editing effort in terms of number-of-words-changed also improves by 5 and 4 points for German-English and Spanish-English, respectively, compared to the state-of-the-art.
Ethel K. Smith Library: Constructing Authority : Why is Authority Important?

This topic guide will help you evaluate sources and determine the type of authority they possess.
Towards a database of isogeny graphs

In number theory, it is often productive to gather arithmetic data in order to conjecture new results and discover unknown behaviour. The most notable modern case of this is the LMFDB, which contains lots of information on arithmetically interesting objects such as fields, algebraic curves and modular functions. Despite such a large collection of data, the isogeny-based cryptography community still lacks a range of examples of supersingular isogeny graphs. This work is a first attempt at generating these examples for genus 1, and it involves exploring elliptic curve isogenies and computing some of their graph invariants.
Can a machine write just like me? Yes, it can.

In February 2019, a not-for-profit AI research organisation called OpenAI announced they had developed a software system with astonishing human-like performance in creative writing. The software reads a few words or up to a whole page of human-authored text on the Internet and writes stories that predict what should happen next.
Literature Review Machine Learning In Accounting and Assurance

The purpose of this literature review is to gain an understanding of the existing research or literature relevant to the impact of Machine Learning on the profession of accounting and assurance. It provides a comprehensive overview of knowledge about this area of study in the form of a written report. Specifically, the study describes the impacts of ML on accounting and assurance in the following manner; by identifying the emerging trends in these fields, by identifying the impact of ML on the efficiency and effectiveness of these professions, and the inconsistencies and gaps in the research. The details of this study are helpful for the professionals in accounting and auditing as it enhances the readers understanding of the topic at large.
Library Guides: REDCap at Berkeley: Survey Design

This guide has information about REDCap at Berkeley including campus availability, training videos, and how to get help.
Frobenius finds non-monogenic division fields of abelian varieties

Let [Formula: see text] be an abelian variety over a finite field [Formula: see text] with [Formula: see text]. Let [Formula: see text] denote the Frobenius and let [Formula: see text] denote Verschiebung. Suppose the Weil [Formula: see text]-polynomial of [Formula: see text] is irreducible. When [Formula: see text], we construct a matrix which describes the action of [Formula: see text] on the prime-to-[Formula: see text]-torsion points of [Formula: see text]. We employ this matrix in an algorithm that detects when [Formula: see text] is an obstruction to the monogenicity of division fields of certain abelian varieties.
LibGuides: High Impact Practices (HIPS): Engineering

LibGuide to explain and illustrate the different HIPS programs at South Piedmont Community College
Transformation System of two Similar Syntax Programs Based on the Compiler Principle

In order to overcome the manpower and time problems of two types of syntactically similar program conversion systems, this paper proposes an automatic conversion system for two types of syntactically similar programs based on the compilation principle. The method is divided into three stages: lexical analysis, syntactic analysis and semantic analysis. The lexical analysis scans the source program character by character from left to right and generates a sequence of words for syntactic analysis. Syntactic analysis further groups the symbols of the source program to generate a syntax tree representing the structure of the source program. Semantic analysis traverses the syntax tree to find the rule base for implementing the source program. Finally the syntax tree is traversed to generate the target program. In creating the syntax tree, the composition mode is used, while in traversing the syntax tree, the visitor mode is used. The experimental results show that these two methods can reduce the time of manual conversion.
Metode Protokol Dengan Motıon Graphıc Terhadap Penerapan Sıstem Pekerjaan Pada Perusahaan

Establishing a large and new company has many obstacles and many business plans that must be faced in the future from all of that the company aims to seek profits and profits for the company as well as a source of employment for the local community, but from all of that the company must prioritize aspects of valuable employees Therefore, companies are required to provide training or at least provide information that is useful and easy to digest by employees who dedicate their lives in the office or in the field, to maximize information for employees, a Motion Graphic-based information media will be designed. This design uses applied research methods. The final result of designing a Motion Graphic video will be implemented in digital media and social media such as Instagram and websites.