Reviewerly/exHarmony huggingface dataset:
The effect of gender on individual investment decisions

Purpose-Investment decisions differ in the face of the demographic characteristics of the investors, their economic conditions and their level of knowledge about the financial developments they are in.Gender identity plays a role in helping to answer questions about investment decisions.For this reason, the purpose of the study is to define how female and male investors differ in their individual investment preferences.Methodology-In order to investigate the gender differences in individual investment decisions, Turkey was taken as a basis in the study.The survey method was used in the study to access the investors' information.Cross tables and hypotheses were generated based on the data obtained.The chi-square test was applied to test whether there is a difference between male and female investors' perceptions of investment behavior.The calculated chi-square value was compared with 10% significance level.Findings-As a result of the hypothesis findings, it was determined that gender caused a significant difference on investment decisions.Differences are observed between male and female investors in terms of financial decisions such as the risk dimension of the investment, the variety of investment instruments and the investment process.Conclusion-As a result of the analysis; Male investors prefer riskier investments than female investors.While male investors tend to invest primarily in stocks, female investors tend to invest in gold.
On some properties of the solutions of the linear differential-algebraic systems

It has been compared the properties of the solutions of differential-algebraic systems and the solutions of systems of differential equations. The differences between the corresponding properties of these solutions are analyzed.
Introduction to Digital Libraries

This tutorial is a thorough and deep introduction to the Digital Libraries (DL) field, providing a firm foundation: covering key concepts and terminology, as well as services, systems, technologies, methods, standards, projects, issues, and practices. It introduces and builds upon a firm theoretical foundation (starting with the &#x2018;5S&#x2019; set of intuitive aspects: Streams, Structures, Spaces, Scenarios, Societies), giving careful definitions and explanations of all the key parts of a &#x2018;minimal digital library&#x2019;, and expanding from that basis to cover key DL issues. Illustrations come from a set of case studies, including from multiple current projects, including with the application of natural language processing and machine learning to webpages, tweets, and long documents. Attendees will be exposed to four Morgan and Claypool books that elaborate on 5S. Further, new material will be added on building digital libraries using container and cloud services, on developing a digital library for electronic theses and dissertations, and methods to integrate UX and DL design approaches.
PEDAGOGICAL CONDITIONS FOR THE FORMATION OF ENVIRONMENTAL COMPETENCE OF FUTURE TEACHERS

The quality and depth of content Web of Science offers to researchers, authors, publishers, and institutions sets it apart from other research databases.The inclusion of Bulletin of NAS RK in the Emerging Sources Citation Index demonstrates our dedication to providing the most relevant and influential multidiscipline content to our community. Қазақстан Республикасы Ұлттық ғылым академиясы «ҚР ҰҒА Хабаршысы» ғылыми журналының Web of Science-тің жаңаланған нұсқасы Emerging Sources Citation Index-те индекстелуге қабылданғанын хабарлайды
VGlove Nitrile Examination Gloves

Biomedical Safety & Standards: July 01, 2021 - Volume 51 - Issue 12 - p 92 doi: 10.1097/01.BMSAS.0000755572.31491.9c
Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms

SOTA coreference resolution produces increasingly impressive scores on the OntoNotes benchmark.However lack of comparable data following the same scheme for more genres makes it difficult to evaluate generalizability to open domain data.Zhu et al. ( 2021) introduced the creation of the OntoGUM corpus for evaluating geralizability of the latest neural LM-based end-to-end systems.This paper covers details of the mapping process which is a set of deterministic rules applied to the rich syntactic and discourse annotations manually annotated in the GUM corpus.Out-of-domain evaluation across 12 genres shows nearly 15-20% degradation for both deterministic and deep learning systems, indicating a lack of generalizability or covert overfitting in existing coreference resolution models.
Review on Detail Information About Flutter Cross Platform

Abstract: Now a days The Rapid growth of wireless technology and Mobile devices in this era is creating a great impact on our lives. Due to which many things going digitalized with time. Hence to reduce the manual work we are doing work through application. For Making application now the developer use cross platform framework. Flutter is a popular UI framework for developing mobile applications by Google. This library consists of various reusable UI(User Interface) elements, such as sliders, buttons, and text inputs. Developers building mobile applications with the Flutter framework will do so using a programming language called Dart. Keywords: Cross Platform Mobile Application, IDE, IOS, Flutter, Dart, Firebase.
Parkinson’s disease hospital admissions in the last decade: a parallel between ages in the Southeast of Brazil

Background: Parkinson’s is a neurodegenerative and progressive disease, with an unknown origin that can lead to functional incapacity and decreased quality of life. Objectives: Analyze the number of hospital admissions for Parkinson’s Disease in the Southeast of Brazil. Design and setting: Transversal, descriptive Epidemiologic study between the years of 2011 and 2020 in the Southeast of Brazil. Methods: Study realized using data from the Department of Information of the Brazilian Health System (DATASUS). The variables researched were hospital admissions, age, and year. Results: In the Southeast region, in the determined period, there was an average of 405 hospital admissions per year, an average growth of 4% between the years of 2011 and 2019. However, in 2020, there was a 30% decrease compared to the previous year. It was also observed that in the gap ages between 40 to 49 and 50 to 59 years old, there was a significant increase in the number of hospital admissions. In addition, the age gap between 50 to 80 or more represents an average of 90.88% of all the hospital admissions of the last decade. Conclusion: In the Southeast of Brazil, Parkinson’s Disease had a noticeable absolute reduction of the total admissions analyzed in the last year and a deviation in the average growth of the other years, meaning a possible relation with the COVID-19 pandemic.
Physics News

Physik in unserer ZeitVolume 52, Issue 3 p. 115-115 Treffpunkt Forschung Physics News First published: 04 May 2021 https://doi.org/10.1002/piuz.202170309Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume52, Issue3May 2021Pages 115-115 RelatedInformation
USING ELECTRONIC TEXTBOOKS IN PRIMARY EDUCATION: STUDENTS-PROSPECTIVE PRIMARY TEACHERS' VIEWS

Bulgaria is now in а process of major changes and reforms in the field of education that involve the implementation of various strategies and regulations. Updating the curricula for school and preschool education has led to the development of new textbooks and teaching aids. Primary and middle school textbooks sets for all subjects were replaced with new ones complemented by their compulsory electronic versions. These e-versions are not only covering the topics and content of the printed versions of the textbooks, but include additional e-resources. Some research of the new textbooks contents has already been done by authors such as Kirova (Kirova, 2018; Kирова, 2018). She compares different components of the curriculum content and the way they are developed in the mathematics textbooks, but the components of the adjunct electronic textbooks (e-textbooks) are not yet analysed. Their examination is necessary for teachers’ practice as well as for the preparation of prospective primary teachers for using e-textbooks in the classroom. No special training for working with e-textbooks is provided in prospective teachers’ current university preparation. However, digital competence is one of the key competences which are developed in primary education programs in Faculty of Educational Studies and the Arts (FESA), Sofia University, Bulgaria. Although it is generally acknowledged that students use digital devices very often and their skills are sufficient for blended learning (Цанев, 2018), yet it is not clear if students’ digital competencies are sufficient for using e-textbooks. Furthermore, there is a gap in the literature about students’ views and attitudes towards working with e-textbooks. Along with their competencies, students’ attitudes are important for successful implementation of e-textbooks in their teaching. Therefore, Sofia University Scientific Research Fund funded project №80-10-170/2019 "Practical aspects of students-prospective primary teachers’ preparation for working with electronic resources" whose main objectives include exploration of the views, preparation and readiness of students-prospective primary teachers about the usage of e-textbooks in primary education. As a part of the project, this study analyses students’ views in terms of necessity of using e-textbooks, their benefits and the requirements that e-textbooks have to meet in order to be used effectively in primary education.Data include an online survey which was conducted during the summer term of academic year 2018-2019 and was completed by 166 students-prospective primary teachers from bachelor and master degree programs at FESA (SU), Bulgaria. The results revealed that the surveyed students generally have positive views about the usage of e-textbooks in education and are well aware of their advantages. They recognized their potential to better visualise learning content and save teachers time. The content that e-textbooks should include and the requirements that e-textbooks have to meet in order to be effectively used in the classroom are also discussed in the paper.
Scene Depth Reconstruction from Light Field Based on Fourier Disparity Layers Representation

Based on Fourier Disparity Layers representation, depth reconstruction can be converted to reconstructing the disparity layers, which includes layer-by-layer FDL filtering, inverse Fourier transform and global fusion of disparity layers.
Military Target Detection Method Based on Improved YOLOv3 Network

Improving the performance and accuracy of image target detection technology is an effective means to improve the generation and analysis ability of battlefield situational awareness.A training data set is constructed for complex battlefield environment, which contains relevant data conforming to the conditions of small targets, occlusion and relatively dense, etc., and can provide a test environment for various target detection algorithms.A military target detection method based on convolutional neural network RDBN-YOLOv3 algorithm is proposed to improve the efficiency and accuracy of military target detection in complex environments.Based on the characteristics of residual network and dense connection network, the residual dense connection structure is proposed and RDBN-YOLOv3 network structure is designed.The dense residual connection structure improves the fusion and reuse capability of the original YOLOv3 network for feature information at all levels.By combining local residual learning, global residual learning and global feature fusion strategy, the transmission of image feature information is optimized, and the detection performance of small targets, occlusion and relatively dense military targets is improved.Finally, experiments are carried out in the data set constructed in this paper.The experimental results show that compared with the original YOLOv3 algorithm, the average accuracy is 4.82% higher, which can provide effective technical support for battlefield situation generation and analysis.
26.1 Prosocial Deception: The Role of White Lies in Social-Cognitive Development

It is hypothesized that the development of deception is one of the indicators of social-cognitive development. Deception may be further categorized as prosocial, neutral, or antisocial, depending on the intention of the person telling the lie. Although antisocial lies have been extensively studied, there are fewer studies regarding prosocial lies. This literature review aims to analyze the developmental aspects of prosocial deception in children.
Featured Cover

The cover image is based on the Research Article Probabilistic principal component analysis-based anomaly detection for structures with missing data by Yaozhi Luo et al., https://doi.org/10.1002/stc.2698.
Application of Agent-Based Modelling and Simulation Tools

Simulation is experimenting with an imitation, or model, of the observed system, and observing its behaviour over time, with the purpose of better understanding and/or improving the system.If the system is inaccessible, dangerous or unacceptable for inclusion in the research, if it is designed but not yet built, abstract or just does not exist, system simulation is often the best option for researching such systems.Elements of these models can be implemented as software entities that perceive their environment and respond autonomously to stimulation.We call these entities intelligent agents.Software tools that enable the exploration of complex natural, social, and technical phenomena and systems are called Agent-Based Modelling and Simulation tools.This paper provides an overview of the wide range of possible applications of these modern computer tools.
Using Social Media to Support Requirements Gathering When Users are Not Available

The use of mobile health applications has surged in numbers since the advent of smart phones a decade ago.Yet, many mobile applications suffer from low engagement due to poor application design.This could be partially due to the primary users of an eHealth applications being time poor and inaccessible to software developers due to their complex health needs.This study investigated the needs of a complex cohort to establish how an eHealth application could provide support.This investigation used social media to reach the cohort 'where they were', without needing to undertake traditional software requirement extraction.The study demonstrated that social media can be used as an effective research tool, not only as a data collection tool to gain insight for a possible mobile application prototype development, but it has demonstrated that social media is a feasible participation tool of User Centred Design (UCD) engagement.
Students’ Attitudes Towards Indonesian Varieties and Other Languages: A Case Study in Tangerang

This study investigates Indonesian-speaking students' attittudes towards Standard Indonesian Colloquial Jakarta Indonesian, regional language, and foreign language.Participants in this study are students of secondary-and high schools (N=745) who live in Tangerang City and South Tangerang, neighboring areas of Jakarta, where the inhabitants are mainly multilinguals.Data of this study were collected from questionnaires, distributed at schools.We investigated their pride of the observed languages, the importance of the languages, and their intention to improve the languages.Findings in this study suggest that the attitude towards these languages has a relation with the social functions which mainly governed by language policy in educational setting.
KESULITAN BELAJAR MENULIS PADA SISWA KELAS II SEKOLAH DASAR

This study aims to description about learning difficulties in writing of students class II at Sekolah Dasar Negeri 02 Lanjak. This is a qualitative within case study research. The tools used are observation sheets, interviews, and documentations. The results of this study was the writing is not legible such as writing too ugly, writing too italic and the form of letters or numbers is not readable. The results of this study indicate that there are several factors that cause children to have difficulty learning to write i.e: a) lack of attention and motivation from parents in overcoming children's writing difficulties; b) children do not have self-awareness in writing and do not memorize the letters of the alphabet; c) children also do not have the awareness and learning responsibilities; d) lack of school collaboration with parents in overcoming difficulties in learning writing. Teachers and parents efforts to overcome children learning difficulties in writing i.e: a) always providing motivation and encouragement to children so that the spirit of learning to write; b) take an individual approach to children who have difficulty learning to write, to find out the wishes of children; c) provide guidance such as additional instruction at the end of study or after school; d) collaborate between schools and parents to overcome difficulties in learning writing.
Simulating the Different Laws of Physics in Video Games

Simulating the Different Laws of Physics in Video GamesIn this chapter, we examine how the different laws of physics are used in the coding of video games and their relation to real-life experiences.Newton's laws of motion and other physics concepts are abundant in popular video games, from gravitational forces in Angry Birds to friction, inertia, and dynamics in car racing games.By building coded video games and experiencing the unplugged activities in this chapter, students can learn a subset of foundational physics concepts.In the games they create, students can tweak different parameters in the code to learn how the laws of physics affect the game.Through these activities, students will gain a better understanding of how the laws of physics shape our everyday lives, our planet, and our solar system.We have set up this chapter to use collaborative group work in either the unplugged or coding tasks.Collaborative group work helps students achieve a shared goal-a working video game or physics lab experiment.In the realm of computer programming, programs are often too large for one person to do it all.They are usually broken down into smaller units (such as subroutines or modules) that are called up and used within a larger program.When coding in a group setting, people need to know ■ which variables are being used (e.g., what variable names you are defining); ■ how they are being used (e.g., whether your units are in meters per second or feet per second); and ■ how they are being called up in the larger program.These questions need to be resolved within the group so that the final program can work properly.
A Customer Service Quality Control Platform Based on User Behavior Tracking

This paper designs and implements a customer service quality control platform based on human behavior tracking, which uses surveillance video to control customer service quality. The platform includes functions such as monitoring source management, video file management, human behavior recognition, and intelligent analysis. The article first introduces the implementation of the platform&#x0027;s hierarchical architecture and functional modules and then uses DeepSort multi-target tracking and 3D convolution to realize multi-person behavior recognition and the quality is analyzed according to the behavior. The final results are fed back to the customer service quality control personnel to achieve intelligent service quality control.
Addendum - E-Government during the COVID-19 pandemic: Policy insights and the way forward

E-government has stepped up its central role as a necessary element of communication, leadership and collaboration between policy makers and society during the COVID-19 pandemic. Digital technologies have enabled broader sharing of knowledge, encouraging collaborative research to find solutions and provide transparent guidance to Governments and people. The same technologies have also been used for the rapid dissemination of false or questionable information, leading to concerns about privacy and security. Policy makers have been called upon to collect and process COVID-19-related data in an ethical, transparent, safe, interoperable, and secure manner that protects the privacy and data security of individuals. Overall, however, the benefits of using technology seem to have outweighed their drawbacks.
Structuring with Modules

In this chapter, you will learn how to structure a larger Python program into modules and how to use other modules in your program.
Naming Objects

The concepts of "value", "object", "variable", "mutability", "initialization", "reassignment". Booleans expressions. The concepts of type consistency and type inference. Calling standard library functions.
Cross-document Event Identity via Dense Annotation

In this paper, we study the identity of textual events from different documents.While the complex nature of event identity is previously studied (Hovy et al., 2013), the case of events across documents is unclear.Prior work on cross-document event coreference has two main drawbacks.First, they restrict the annotations to a limited set of event types.Second, they insufficiently tackle the concept of event identity.Such annotation setup reduces the pool of event mentions and prevents one from considering the possibility of quasiidentity relations.We propose a dense annotation approach for cross-document event coreference, comprising a rich source of event mentions and a dense annotation effort between related document pairs.To this end, we design a new annotation workflow with careful quality control and an easy-to-use annotation interface.In addition to the links, we further collect overlapping event contexts, including time, location, and participants, to shed some light on the relation between identity decisions and context.We present an open-access dataset for cross-document event coreference, CDEC-WN, collected from English Wikinews and open-source our annotation toolkit to encourage further research on cross-document tasks. 1
Residential security through the Home Assistant Platform

The etymology of the word safety means: lack of danger; feeling of peace and confidence; shelter from any danger; feeling of security. A security system of goods, values and protection of people can be implemented through an automated platform, under the name of Home Assistant. This server software application can communicate with an easy control system for fast and two-way access, which can be mounted to a restricted main entrance. The automatic opening of the access door is controlled both by stand-alone RFID (Radio-Frequency Identification) modules, which act on an electric closing mechanism, and by an automation system configured in the Home Assistant application. The ultimate goal is the security of the premises through a system that can operate both locally and online via internet connection. The research methodology was based on the study of intelligent applications for residential access, described in the literature, aiming at integration into the open-source HA platform, by developing new code sequences. I come with this paper in support of those who want to bring an improvement in the existing automation system, respectively to encourage those who want an automated residence at a higher level.