Reviewerly/exHarmony huggingface dataset:
The Road to Partnership: a Stepwise, Iterative Approach to Organisational Collaboration in RDM, Archives and Records Management

Research data management (RDM) sits at the confluence of a number of related roles. The shape an RDM confluence takes depends on several factors including the nature of an organisation and the research that it undertakes. At St Georgeâ€™s, University of London, the UKâ€™s only university dedicated to medical and health sciences education, training and research, RDM has been intricately interwoven with organisational information governance roles since its inception. RDM is represented on our institutional Information Governance Steering Group and our Information Management Team consisting of information governance, data protection, freedom of information, archives, records management and RDM.&#x0D; This paper reports on how RDM, archives and records management have collaborated using a step-wise, iterative process to streamline and harmonise our guidance and workflows in relation to the stewardship, curation and preservation of research data. As part of this we consistently develop, conduct and evaluate small projects on managing, curating and preserving data. We present three projects that we collaborated on to transform research data services across each of our departments:&#x0D; &#x0D; planning for, conducting and reporting on interviews with wet laboratory researchers&#x0D; advocating, building a case for and delivering a university-wide digital preservation system&#x0D; ongoing work to recover, preserve and facilitate access to a unique national health database&#x0D; &#x0D; Learnings from these projects are used to develop our guidance, improve our activities and integrate our workflows, the outcomes of which may be further evaluated. Learnings are also used to improve our ways of working together. Through deeper integration of our activities and workflows, rather than simply aligning aspects of our work, we are increasingly becoming partners on research data stewardship, curation and preservation. This approach offers several benefits to the organisation as it allows us to build on our related knowledge and skills and deliver outcomes that demonstrate greater value to the organisation and the researchers we support.
Body grammars in advertising to young children

This research is part of the national research project “MediaCorp: Representacion Mediatica de la Imagen Corporal (no) Saludable” funded by the Ministry of Economy and Competitiveness in Spain (CSO2014-58220-R) (2015-2019).
Reflections I and II: Reflections from Education and the Arts in the COVID-19 Era

Reflection I comes from the North American context, from Chapman University (USA). Peter McLaren is a professor at Chapman University, a researcher of reference in the international field of critical pedagogy. Wang Yan is a researcher in the Faculty of Educational Studies at Chapman University, her current research interest include Culture and Curricular Studies. Reflection II is developed by Petar Jandric, professor at University of Applied Sciences of Zagreb (Croatia), researcher and expertise in understanding the intersections between critical pedagogy and information and communication technologies.
Effective Distance of the External Focus in Motor Performance

To determine the immediate effects of external focus (EF) at different distances on motor performance.
A study on the adaption of the Vibra polygraph : POT technique applied to Vibra polygraph

본 연구는 진술의 진위여부를 탐지하기 위해 사용하고 있는 폴리그래프검사기법 중 긴장절정검사기법(POT-Test)을 비대면 비접촉 측정 방식의 바이브라폴리그래프 검사방법에 적용함으로써 코로나바이러스 감염증-19 (COVID-19)에서의 기존 폴리그래프 검사방법의 한계를 극복하고자 하였다. 폴리그래프검사는 센서장비를 피검사자의 몸에 부착하여 호흡반응, 피부전류저항, 혈압 및 맥박을 측정한다. 그러나 바이브라 폴리그래프검사는 얼굴 부위를 촬영하여 전정기관(평형감각을 담당)에서의 미세한 움직임을 시각화하여 인간의 감정 상태를 측정 한다. 이 연구는 코로나바이러스 감염증-19(COVID-19)으로 인하여 접촉식 폴리그래프 검사방법을 대신하거나, 기존 검사장비와 보완 사용할 수 있다. 비접촉과비대면 검사 시스템의 보완이 요구되는 시점에 본 연구는 아주 유용하게 활용될 것으로 판단된다.The purpose of this study is to overcome the limitations of existing polygraph testing methods in COVID-19 pandemic by applying Peak of Tension Test(POT-Test) to the Vibra polygraph testing, which is non-contact type in order to detect the lie. The polygraph test measures the heart rate/blood pressure, respiration, and skin conductivity by attaching the sensor equipment to the body of the examinee. However, the Vibra polygraph test takes a photograph of the face area and visualizes the subtle motion in the vestibular system (which is responsible for equilibrium) with more than 28 parameters to measure the emotional state. This study may be used as a substitute for or supplement to conventional testing equipment in COVID-19 pandemic. At a time when non-contact and non-face-to-face inspection systems need to be supplemented, it is considered that this study will be used very effectively
A Comparative Study of Incremental Values Applied to P&O based MPPT Algorithm for PV Applications

The power Produced from the PV is non-linear in nature and its power production is mainly depending on Climaticconditions. So the PV produce the maximum power at one point, called Maximum power point. There are manyMPPT algorithms are proposed to track the maximum power from the PV .In that P&O based mppt algorithm iswidely used in many applications. The behavior of this mppt algorithm is determined by the parameter consideredfor the Perturbation .Conventionally the voltage, Current and duty cycle are considered for the perturbation withtheir corresponding incremental values. Hence the incremental values with the control parameter determine theoscillation in mppt algorithm. In order to analyze the oscillation around the MPP (maximum power point) ,Thispaper is aimed to study the effects of incremental values applied to the Conventional Perturb and observe basedmppt algorithm. The simulation study for the P&O based MPPT algorithm is carried out in Matlab-simulink and thisstudy compares the variation in Voltage, current and power with respect to the variation in Incremental values withvarying climatic conditions.
Automatic subject classification of Swedish DDC : Impact of tuning and training data set

The presentation builds on the NKOS 2018 presentation of automatically produced Dewey Decimal Classification (DDC) classes for Swedish union catalogue (LIBRIS). Based on a dataset of 143,838 record ...
On the application of virtual machine technology in the teaching of computer network security in Higher Vocational Education

With the rapid development of information technology, computer has been applied and popularized in various fields of society, which is also a higher requirement of computer network security teaching. Virtual machine technology has become an indispensable part of teaching, which can make the cost investment in teaching be effectively solved. At the same time, the application of virtual machine technology can make students learn Enthusiasm has been mobilized, and teaching effectiveness is more obvious.
Data Visualization with Leather

In Chapter 2 , we acquainted ourselves with Python programming using Jupyter Notebook. You should now be comfortable writing interactive Python programs with Jupyter Notebook.
A Study on Usage of ‘Noun/TOIU/Noun’

The form of ‘Noun/TOIU/Noun’ where nouns connect before and after the ‘TOIU’ has various meanings. Two nouns in this form may be the same noun and may be different nouns, and there are cases where a restricted noun is connected after ‘TOIU’. In particular, in the case of ‘Noun1/TOIU/Noun2’, which occupies most of this form, it is divided into several patterns depending on which noun is the focus and the relationship between the two nouns. First, ‘Noun1/TOIU/Noun1’ is emphasized by repetition of the same noun. In regards to ‘Noun1/TOIU/Noun2’, when ‘Noun1’ is the main and subword of ‘Noun2’, it aims to emphasize ‘Noun1’. When it is the case of ‘Noun2’ a comemtary of ‘Noun1’, ‘Noun2’ restricts ‘Noun1’ as a synonym for ‘Noun1’, the judgment of the speaker, the metaphor, and the meaning of qualification/attribute/method. In another pattern where ‘Noun2’ is the main, ‘Noun1’ modifies ‘Noun2’ as unknown elements, details, and examples. Sometimes, instead of ‘TOIU’, ‘Noun2’ is modified by appropriate verb insertion. Finally, in ‘Noun/TOIU/Restricted Noun’, there is a subtle difference from the case where only nouns are presented when ‘NO’, ‘MONO’, and ‘KOTO’ come after ‘TOIU’.
Exploring Jupyter Notebook

In Chapter 1 , we acquainted ourselves with Python and learned how to write a very simple program with Python. We also saw how to use Python in both interactive mode and script mode. In this chapter, we explore Jupyter Notebook. In Chapter 1 we saw that interactive mode offers us the immediate feedback of Python statements. We will continue using the interactive mode of Python throughout the book almost all of the demonstrations. However, rather than using Python’s built-in interactive mode with an interpreter, we will use another and much better tool known as the Jupyter tool. This entire chapter is dedicated to this topic.
Cast of 'Legally Blonde' reunited virtually, one star gets choked up

Gino joins FOX6 WakeUp with details on the virtual event that ended with a star getting a little choked up.
Analisis Kepuasan Alumni Terhadap Pelayanan Akademik dengan Metode Importance Performance Analysis Berbasis Web (Studi Kasus: Universitas CIC)

Increasing development of information technology and competition among tertiary institutions, analysis quality of academic services in the competitive era such as now is an important thing for university to do. The purpose of this research is to build a web-based computer system for analyzing alumni satisfaction with the quality of academic services at CIC University, the sample data used were 31 Alumni CIC University who graduates in 2019. The analytical method used was Importance Performance Analysis method, this method is an analysis technique which is used to find out which attributes have a big influence on satisfaction, where the measured attributes will be grouped in 4 quadrants. The results of this research is alumni satisfaction analysis systems for academic services at CIC University with Importance Performance Analysis method. The results of the system test of 31 alumni sample data assessing 9 attributes of academic services at CIC University, obtained 33.33% or 3 attributes included in Quadrant I which means that attributes are recommended to be improved. 11.11% or 1 attribute included in the Quadrant II, it mean that attribute has succeeded in satisfying the Alumni and its performance must be maintained. 22.22% or 2 attributes are in the Quadrant III category, it mean that atrributes have a low priority to be improved. While in Quadrant IV there are 33.33% or 3 attributes, it mean that these attributes have good performance, but are not considered important by Alumni
Frivolous Units Help to Explain Non-Overfitting in Overparametrized Deep Neural Networks

A remarkable characteristic of overparameterized deep neural networks (DNNs) is that their accuracy does not degrade when the network's width is increased. Recent evidence suggests that developing compressible representations is key for adjusting the complexity of large networks to the learning task at hand. However, these compressible representations are poorly understood. A promising strand of research inspired from biology is understanding representations at the unit level as it offers a more granular and intuitive interpretation of the neural mechanisms. In order to better understand what facilitates increases in width without decreases in accuracy, we ask: Are there mechanisms at the unit level by which networks control their effective complexity as their width is increased? If so, how do these depend on the architecture, dataset, and training parameters? We identify two distinct types of units that proliferate when the network's width is increased: prunable units which can be dropped out of the network without significant change to the output and redundant units whose activities can be expressed as a linear combination of others. These units imply complexity constraints as the function the network represents could be expressed by a network without them. We also identify how the development of these units can be influenced by architecture and a number of training factors. Together, these results help to explain why the accuracy of DNNs does not degrade when width is increased and highlight the importance of frivolous units toward understanding implicit regularization in DNNs.
Algorithmic Decision Systems

Our society in the twenty-first century is being shaped evermore by sets of instructions running at data centers spread around the world, commonly known as “algorithms.” Although algorithms are not a recent invention, they have become widely used to support decision systems, arguably triggering the emergence of an algorithmic society.1 These algorithmic decision systems (ADS) are deployed for purposes as disparate as pricing in online marketplaces,2 flying planes,3 generating credit scores,4 and predicting demand for electricity.5 Advanced ADS are characterized by two key features. First, they rely on the analysis of large amounts of data to make predictive inferences, such as the likelihood of a default for a potential borrower or an increase in demand for electricity consumption. Second, they automate in whole or in part the execution of decisions, such as refusing a loan to a high-risk borrower or increasing energy prices during peak hours, respectively. ADS may also refer to less advanced systems implementing only one of these features. Although ADS generally have proven to be beneficial in improving the efficiency of making decisions, the underlying algorithms remain controversial, among other issues, because they are susceptible to discrimination, bias, and a loss of privacy – with the potential to even be used to manipulate the democratic processes and structures underpinning our society6 – alongside lacking effective means of control and accountability.
Modeling the Models

I am so excited I do not even have a cup of coffee with me right now. This chapter takes us into a new adventure where Active Record (AR) is the focal point. This chapter will cover AR in an in-depth and pragmatic method.
Data Collection Design for Dialogue Systems for Low-Resource Languages

This paper presents our plan and initial design for constructing a dialogue corpus for a low resource language, in this case Uyghur, with the ultimate goal of developing a dialogue system for Uyghur. We plan to design and create a Massively multiplayer online role-playing game (MMORPG), using the RPG Maker MV Game Engine. We also introduce our initial design of a method for collecting various types of naturally generated questions and answers from native Uyghur speakers. Our method and the design of the game can be used for other low resource languages for collecting a large amount of dialogue data, which is crucial for implementing a dialogue system for such languages.
The Influence of Syntax on the Perception of In-Vehicle Prompts and Driving Performance

Advances in Natural Language Generation technically enable dialog systems to output utterances of an arbitrary length. However, in order to provide the most efficient form of interaction, the complexity of voice output needs to be adapted to individual user needs and contexts. This paper investigates the influence of syntactic complexity on user experience and primary task performance with spoken interaction representing a secondary task, such as in the automotive context. For this purpose, we validate the approach of assessing user preferences concerning voice output. On this basis, we report the results of a user study, where participants interact with a simulated dialog system producing utterances of differing syntactic complexity. We conclude that the choice of a particular syntactic structure affects primary task performance. Equally, our analyses of user preferences suggest an influence on the perception of syntactic forms dependent on individual context and user characteristics.
An Approach for Securing Organizational Data using Block-chain and Cryptography

Confidential data protection and trust management both work hand in hand, the organization who is managing the data must make sure they take all the required steps to maintain the integrity of the data and to gain trust from their end-users. The major sector where the organization has to take care is to give the right access control, any wrong doing from the employee will directly impact the organization. The paper proposes 2 level security frame work which will keep the data handling within the organization crystal clear. The paper proposes a system in which super-party (the person who runs the organization), grants permission to its sup-parties (employees) to add, update the data and restrict from deleting the data. The sub-party should also add the crypto hash on the EthereumBlockchain to finish the add/update of the data. Every sub-party will have its own account which will be the signature. The data in its whole will be stored on the cloud and its crypto hash will be generated and this crypto hash along with the signature will be stored on the root tier of the EthereumBlockchain. The signature along with the data hash stored on the blocks will help the organization track the person responsible for any tampering or mishandling the confidential data.
PENERAPAN ALGORITMA GENETIK UNTUK OPTIMASI SISTEM INFORMASI PENJADWALAN KULIAH (STUDI KASUS PROGRAM STUDI SISTEM INFORMASI UNIVERSITAS KOMPUTER INDONESIA)

The college scheduling activity is a routine activity every semester that is very complicated and draining the mind. In the current system, the information system study program of Indonesian computer universities has used a lecture scheduling information system application for the college scheduling process. However, the application has a disadvantage, namely the scheduling process is still done by manually selecting space, days and hours, and has not implemented the optimization algorithm for the scheduling process, so the scheduling process still requires a long time and is not optimal. Given the importance of this scheduling process, it is necessary to do the optimization steps for scheduling lectures appropriately so that the process of scheduling lectures is faster and schedule conflicts can be minimized so that teaching and learning activities can run well. For this research, we intend to apply genetic algorithms to the scheduling process with the aim of optimizing the lecture scheduling process in the information systems study program. In this research method, the stages of the research will be described as the system development method, research location, and data collection techniques.Â Â Â Â Â  The results of this study are that there are no more conflicting schedules after 10 trials were marked with fitness with a value of 0. The conclusion of this research is that by applying genetic algorithms to the college scheduling application, the process of scheduling lectures can be done automatically until there is no schedule conflict and out of 10 experiments, the average time for lecturing schedule was 58.454 seconds (less than 1 minute) and the average was achieved in generation 1,2,3. Â  Keywords : genetic algorithms, lecture scheduling, chromosomes
The Gallery: Nasa's Shapeshifting robots

In the robotics yard at Nasa's Jet Propulsion Laboratory is the prototype of the transforming robot, Shapeshifter. Made of smaller robots that can morph into rolling spheres, flying drones, swimming submersibles and more, the concept robot is a step forward in the search for aliens.
Chinese Conference Event Named Entity Recognition Based on BERT-BiLSTM-CRF

Conference events are an important place for people to express their views. Chinese conference event named entity recognition is a key technology for public opinion tracking of people. In this paper, a method based on BERT-BiLSTM-CRF is proposed to recognize Chinese conference event named entities. First, a character vector is generated by the BERT model based on context information. And then the trained character vector is input into the BiLSTM-CRF model for further training processing. The experimental results show that BERT-BiLSTM-CRF model performs better than classical BiLSTM-CRF model and word2vec-BiLSTM-CRF model. BERT-BiLSTM-CRF model can achieve precision of 91.39%, recall of 92.31% and F1-score of 91.85% in Chinese conference events named entity recognition.
PERANCANGAN PROGRAM DAN SIMULASI SMART TRAFFICLIGHT MENGGUNAKAN PROGRAMMABLE LOGIC CONTROL (PLC)

In Yogyakarta, every year the population grew rapidly besides its fame as a scholar city but also of its own population growth.Its fame as a scholar city drew young people from other province to come and study in Yogyakarta. These increase of population directly impact the density of traffic on Yogyakarta’s streets. Traffics problems occurs because of this increasing density in streets or roads especiall in rush hours where people are jammed on crossroads. Traffic jams on crossroads is very dangerous because of the increasingly level of carbondioxide in such a dense place in a periode of time can make people suffocate and pass out. In controlling flows of vehicle in crossroads trafficlight are used, but trafficlight nowadays does not accommodate the flow of vehicle because of its monotonic green light timing, especially in times of rush hours. This study tries to solve the problem of monotonic green lights using PROGRAMMABLE LOGIC CONTROL as its source of control, simulated in a miniature of a crossroad. Different amount of green light time is generated depends on normal time, rush hour, preemption, sensor based, overtime. Keywords: trafficlight , PROGRAMMABLE LOGIC CONTROL, green light time
Visualizing Graphs and Networks

In Chapter 6 , we demonstrated the visualization of images and 3D objects with Python 3 and Matplotlib. We also learned a bit of image processing.
Design and Construction of Urban Waste Intelligent Treatment System

With the rapid expansion of urban scale, urban waste disposal has become an important issue for ecological environment construction. In order to seek the coordinated development of economy and environment, we systematically intervene in urban waste intelligent treatment plans and management through design thinking and methods, and build urban waste intelligent treatment systems to achieve waste volume control, waste monitoring, classified collection, stacking and transportation, processing and Reprocessing production forms a controllable intelligent operation chain, which realizes the collaboration of human brain intelligence and artificial intelligence to improve the level of urban waste treatment and management capabilities.