Reviewerly/exHarmony huggingface dataset:
AI for Theory of Everything

This chapter describes the usage of machine learning for superstring theory as a theory of everything. String theory involves the most comprehensive data in science and thus represents an ideal playground for the usage of ML. It is an endeavor to describe all elementary particles and fundamental forces including gravity by modeling them as vibrations of tiny strings. The vibration modes of the strings and thus the properties of the particles depend on the structure of space. The latter is predicted to exhibit six extra dimensions which are compactified and thus invisible to us. The set of possible compactifications (string landscape) is vast but may be explored using ML. First studies scan the string landscape applying ML to infer topological properties encoding, e.g., the number of particle generations (three in the Standard Model). The chapter shows how this highly abstract task is effectively formulated as a classical image recognition problem. This approach represents an application of ML in algebraic geometry which is surprisingly successful. This suggests a strategy using AI to explore the landscape of the whole of mathematics.
Construction of the Intelligent Interactive System of Architectural Construction Drawing Design Based on the Online Course Platform with MOOC

This article takes the "Architectural Construction Drawing Design" course of the Mooc online course platform as an example to analyze the data of the learners' traffic, video viewing, meeting classes, discussions and exams during the learning process on the intelligent online interactive guidance platform, and explore MOOC The relationship between the course pass rate, the flow of learning people and the behavior of learners, the main functions include course management, online learning, resource management, activity management, learning Q&A, learning evaluation, user management, teacher growth electronic portfolio and system management. In terms of technical implementation, the front-end and back-end separation methods are adopted to realize the processing chain of Nginx+Squid+IIS.
The Influence of Cost Drivers on Effort Estimation in Distributed Software Development

Nowadays, software projects are a vital element in any organization’s success. It plays the highest role in the organization’s success in most cases. Hence, its main focus is to earn more money on a project and minimize the developing time cost. Sometimes due to unavailability of experts may decrease the profit of the organization. Thus, the organization comes with these types of issues. They want to increase the profit and decrease the development time and on fewer budgets, hire the more expert people to achieve the organization’s goal. For this purpose, they are applying the new development approach called GSD (global software development). Through global software development, they develop their project on a reasonable budget and maximize profit. However, in GSD, other challenges of team communication, coordination, geographical location, and cultural and time zone differences increase the project’s effort. This paper shows the more critical factors in GSD and the more challenging and shows their impact. They are more challenging on which project manager or team leader more focus on these factors, which can be more helpful for the project’s success. This paper is more helpful for both industries and researchers in that they can easily estimate the effort in the context of GSD.
Do Digital Payment Platforms’ Activities affect Corruption? Evidence from Panel of West African Countries

The study examines whether the digital payment platforms (ATM, POS, Mobile and Online platforms) affects the level of corruption in selected West African countries. A standard panel data models such as pooled Least Square, random effect and system GMM were adopted to generate the estimators. The findings suggest that the operation of ATM has been deterrent to corruption level in selected West African Countries. This is evidence with the negative effects observed in both the individual and interaction models. The point of sale (POS), Mobile and Online medium of electronic payments have increasing effects on corruption. This is proofed, given the positive signals seen in both the individual and interaction models. The paper further test for robustness through model re-specification and changes in estimation technique and thus, reveals that the coefficients are consistent to model re-specification and advanced estimation procedure. Hence, digital payment platforms significantly influence corruption in West African countries. The implication therefore is that, the regulatory authorities and deposit money banks should advocate for larger usage of the POS and Online digital payment platforms. Also, the use of the mobile platform should be regulated to contend with insecurity it heralds.
Reply to Murphy and Leivada: Program induction can learn language

Microbial communities are found throughout the biosphere, from human guts to glaciers, from soil to activated sludge. Understanding the statistical properties of such diverse communities can pave the way to elucidate the common mechanisms ...Multiple ecological forces act together to shape the composition of microbial communities. Phyloecology approaches—which combine phylogenetic relationships between species with community ecology—have the potential to disentangle such forces but are often ...
Book Reviews

Robert P. Flood of University of Notre Dame reviews “The Future of Money: How the Digital Revolution Is Transforming Currencies and Finance” by Eswar S. Prasad. The Econlit abstract of this book begins: “Examines recent and ongoing innovations in financial technologies and their transformative effect on the financial landscape, evaluating how significant these changes are likely to be and their implications for currency, central banking, and society at large.
Intergenerational Learning in Online Teacher Communities

This multiple case study sought to describe intergenerational learning (IGL) in the online teacher communities. More so, it disclosed into the online IGL’s directions of exchange, contents, strategies, and challenges. Data were gathered from 20 multigenerational teachers in the cases of a small and a big school for maximum variation, through semi-structured individual interviews and online interaction analyses. Results showed that online teacher communities through video conferences and group messaging pave the way for multigenerational colleagues in reference to age, period, cohort, and experience from learning from each other. Learnings of instrumental contents are embedded in multidirectional exchange, based on recognized expertise according to the younger generation’s cohort, and the older generation’s experiences. While varied contents from all generations find their way in the online teacher community, devaluing roles and contents could threaten the quality of teachers’ participation. Structured online learning activities however such Learning Action Cells (LAC) sessions could be instrumental to reinforce the valuing of varied roles and contents in the online IGL among teachers. Teachers learn during the structured sessions, they also learn equally valuable content in the flexible and spontaneous group messaging, although the latter is not a recognized form of professional learning. Keywords: professional learning, teachers, IGL, online learning, multiple case study
“SCIENTIFIC COMMUNICATION” IN CREATING THE LANGUAGE PERSONALITY OF THE FUTURE PRIMARY SCHOOL TEACHER OF NEW UKRAINIAN SCHOOL

The article deals with the functioning of the course “Scientific Communication” in the educational process of students of the second (master’s) degree of higher education in specialty 013 Primary education as a scientific basis for various types of research, discussion of complex problems based on scientific controversy, discussions of urgent problems in the field of primary education. The purpose of the article is to determine the functional point of the course “Scientific Communication” in the formation of the language personality of the future primary school teacher of NUSH. The article describes the structural components of the discipline and outlines their quintessence in the formation of the language personality of the future primary school teacher of NUSH. To achieve this goal, the following research methods are used: analysis, synthesis, generalization, descriptive method, which made it possible to consider the problem in detail and draw conclusions about the feasibility of the discipline “Scientific Communication” in the educational process of students of the second (master’s) degree of higher education in specialty 013 Primary education for the development of language personality of the future primary school teacher of NUSH. It is found out that the purpose of studying the course “Scientific Communication” is to form a system of theoretical and methodological knowledge about scientific communication, its main components, latest trends and technologies and skills to apply them in information retrieval and dissemination of research results; providing training for a highly qualified specialist capable of demonstrating stable professional knowledge of the Ukrainian/English languages and professionalism during the exchange of scientific information in the field of primary education. The article outlines the objectives of the discipline “Scientific Communication”, general and special competencies in accordance with the educational program “Primary Education”; program results of studying; innovative approaches and methods (heuristic approach, practice-oriented approach, method of analysis of specific situations, method of project-based learning, method of educational discussion, methods of developing critical thinking, etc.). It is stressed that the acquired knowledge, skills, abilities and professional competence will contribute to the development of the language personality of the future primary school teacher of NUSH both while higher education and in further professional activities during self-education, self-development and self-improvement.
Book review: “Russian universities: How the system works” by Y. I. Kuzminov and M. M. Yudkevich

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Opening scholarly documents through text analytics

Vast amounts of scholarly knowledge are buried in electronic theses and dissertations (ETDs). ETDs are valuable documents that have been developed at great cost but largely remain unknown and unused. We aim for digital libraries to open up these long documents using computerized text mining and analytics. We add value to the existing systems by providing chapter-level labels and summaries. This allows readers to easily find chapters of interest. We use ETDs to fine-tune language models like BERT and SciBERT, to help better capture the specialized vocabulary present in such documents.
Media Literacy in Modern Education: Problems and Achievements of Scholars

The article on the basis of systematic retrospective analysis of domestic and foreign scientific literature and modern educational realities, substan-tiates the relevance of the formation of media literacy of the individual in the information society. Since the media ambiguously affect the spiritual world of a person, the education of the younger generation, its integration into society, it is necessary to teach children and young people to adequately perceive, analyze and evaluate broadcast information and use it wisely in their lives. The views of scientists from different countries on the essence of the concepts of media education and media literacy, which entered into the scientific circulation and educational space in the 30s of the twentieth century and are aimed at the perception of a diverse information, to prepare growing generation for life in modern information conditions, to teach people to communicate verbal and nonverbal forms of communication through tech-nical means. Emphasis is placed on the need to start the formation of media literacy in primary school, in particular during the study of the content line “Exploring the media” in the lessons of language and literature. It analyzes the ways of carrying out this process and the components of ineffective literacy, as well as various forms of organization of educational activities of primary school students, the use of which allows to develop critical thinking and media competence of students. Theoretical considerations are confirmed by me-thodical developments in the study of the topic “Fairy tales from around the world” in the lessons of “Literary reading” (“Ugly duckling”, “Mitten”, “Bunny fairy tale”, etc.) using media. It is argued that the development of media literacy and media culture is an extremely important factor in shaping the moral and ethical qualities and civic position of primary school students of the New Ukrainian School, which integrates today into the European and world educational space.
ZIMBABWE: Lending Ban

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 59, Issue 4 p. 23845B-23846C Policy and Practice ZIMBABWE: Lending Ban First published: 02 June 2022 https://doi.org/10.1111/j.1467-6346.2022.10577.xRead 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. Volume59, Issue4June 2022Pages 23845B-23846C RelatedInformation
A pre-impact fall detection data segmentation method based on multi-channel convolutional neural network and class activation mapping

Abstract Objective. A segmentation method for pre-impact fall detection data is investigated. Specifically, it studies how to partition data segments that are important for classification from continuous inertial sensor data for pre-impact fall detection. Approach. In this study, a trigger-based algorithm combining multi-channel convolutional neural network (CNN) and class activation mapping was proposed to solve the problem of data segmentation. First, a pre-impact fall detection training dataset was established and divided into two parts. For falls, the 1 s data was divided from the peak value of the acceleration signal magnitude vector to the starting direction. For activities of daily living, the cycle segmentation was performed for a 1 s window size. Second, a heat map of the class activation regions of the sensor data was formed using a multi-channel CNN and a class activation mapping algorithm. Finally, the data segmentation strategy was established based on the heat map, the basic law of falls and the real-time requirements. Main results. This method was verified by the SisFall dataset. The obtained segmentation strategy (i.e. to start segmenting a small data segment with a window duration of 325 ms when the acceleration signal magnitude vector is less than 9.217 m s −2 ) met the real-time requirements for pre-impact fall detection. Moreover, it was suitable for various machine learning algorithms, and the accuracy of the machine learning algorithms used exceeded 94.8%, with the machine learning algorithms verifying the data segmentation strategy. Significance. The proposed method can automatically identify the class activation area, save the computing resources of wearable devices, shorten the duration of segmentation window, and ensure the real-time performance of pre-impact fall detection.
The Promise of Digital Accounting and Auditing

Digital transformation services, such as AI-driven accounting and auditing, are the latest disruptive innovations and are rapidly changing its nature and the profession as a whole. The aim of this chapter is to understand the commercial value promises of AI-driven accounting and auditing and how they correlate with implicit and explicit societal, organisational, and ethical values. A thematic analysis is conducted by analysing meaningful value promises found in documents of the Big 4 accounting and auditing firms. In the thematic coding of the selected documents, four major value-based promises of AI-driven accounting and auditing have been identified. Subsequently, the organisational and ethical challenges in the thought processes behind the implementation of AI are critically discussed from societal perspective. The results imply that digital accounting and auditing are changing the nature of the profession with a large impact on society in ways that cannot be ignored.
Digital Transformation in Teaching and Learning

Digital transformation in higher education institutions is a point of no return. Both students and faculty members must embrace the change and understand their roles in the process of innovation in learning and teaching. The Covid-19 pandemic has been a recent catalyst of this academic process, but digital innovation is not a recent phenomenon in this area. Many institutions in recent years have been investing and learning how to offer the right content to their students. In this chapter, we discuss some of the aspects learned, based on the authors’ experience and the findings of qualitative research conducted with eight higher education institutions that have different levels of digital proficiency and maturity, and all devoted to building digital capabilities. The findings revealed what we call the “success factors” that may help other institutions in their journey to digital transformation.
Monotone Subintuitionistic Logic: Duality and Transfer Results

We consider subintuitionistic logics as an extension of positive propositional logic with a binary modality, interpreted over ordered and unordered monotone neighborhood frames, with a range of frame conditions. This change in perspective allows us to apply tools and techniques from the modal setting to subintuitionistic logics. We provide a Priestley-style duality, and transfer results from the (classical) logic of monotone neighborhood frames to obtain completeness, conservativity, and a finite model property for the basic logic, extended with a number of axioms.
HUMAN ACTIVITY RECOGNATION DARI REKAMAN VIDEO PENGAWAS DENGAN METODE YOLO

Advances in technology today, so that human work can be helped easily by using machines. One of the jobs that can be time-consuming is supervising. The supervision carried out requires human labor to oversee the events and activities recorded on CCTV cameras. With the development of technology, conducting surveillance is now easier. By utilizing video recordings containing activities, the design made can produce a program that can detect Sitting, Standing, Studying, Raising Hands, and Clapping activities. These detections can then be summarized into an activity logbook along with the time the activity occurred. The system is made using Python and the You Only Look Once (YOLO) method. The program is expected to be able to accurately detect activities with the specified classes. The results show that the YOLO method can find objects and their activities using the internet dataset and IP Camera dataset which produces the highest mean Average Precision (mAP) of 86.85% for the internet dataset and 99.96% for the IP Camera dataset. And the test results on the best model show an accuracy rate of 80.6% for the internet dataset and 98% for the IP Camera dataset.
Analysis of the transmission process in wireless local networks

Simsiz lokal şəbəkələrin infrastruktur rejiminin üzükvari struktura malik olan simsiz və simli lokal şəbəkə texnologiyaları bazasında funksional və konseptual modelləri işlənib hazırlanmışdır. Bu rejim çərçivəsində fəaliyyət göstərən simsiz və simli lokal şəbəkələrində verilənlər kadrının ötürülməsi prosesinin analizi aparılmış, hər iki lokal şəbəkədə baxılan prosesin ayrı-ayrılıqda qrafiki təsviri verilmiş və onların əsasında bu şəbəkələrin zaman xarakteristikalarının hesablanması metodu təklif edilmişdir. Açar sözlər: simsiz lokal şəbəkələr, infrastruktur rejimi, simsiz lokal şəbəkə, üzükvari simli lokal şəbəkə, simsiz lokal şəbəkənin interfeys stansiyası, üzükvari simli lokal şəbəkənin interfeys stansiyası, funksional model, konseptual model, verilənlər kadrı Famil Huseyn Mammadov Milana Yagub Orujova Analysis of the transmission process in wireless local networks Abstract Functional and conceptual models of wireless local area networks have been developed on the basis of wireless and wired local area network technologies with a ring structure. Under this mode, the process of data transmission in wireless and wired local area networks was analyzed, a separate graphical description of the process considered in both local networks was provided and a method for calculating the time characteristics of these networks was proposed. Key words: wireless local area networks, infrastructure mode, wireless local area network, ring wired local area network, wireless local area network interface station, ring-shaped local area network interface station, functional model, conceptual model, data frame
Soma Design – Intertwining Aesthetics, Ethics and Movement

I will discuss soma design — a process that allows designers to examine and improve on connections between sensation, feeling, emotion, subjective understanding and values. Soma design builds on pragmatics and in particular on somaesthetics by Shusterman. It combines soma as in our first-person sensual experience of the world, with aesthetics as in deepening our knowledge of our sensory experiences to live a better life. In my talk, I will discuss how aesthetics and ethics are enacted in a soma design process. Our cultural practices and digitally-enabled objects enforce a form of sedimented, agreed-upon movements, enabling variation, but with certain prescribed ways to act, feel and think. This leaves designers with a great responsibility, as these become the movements that we invite our end-users to engage with, in turning shaping them, their movements, their bodies, their feelings and thoughts. I will argue that by engaging in a soma design process we can better probe which movements lead to deepened somatic awareness; social awareness of others in the environment and how they are affected by the human-technology assemblage; enactments of bodily freedoms rather than limitations; making norms explicit; engage with a pluralist feminist position on who we are designing for; and aesthetic experience and expression.
Dijital Göçmenler İçin Dijital Yetkinliğin Haritalanması: Türkiye, Almanya ve İspanya Örneğinde Karşılaştırmalı Bir İnceleme

This study, which was prepared within the scope of DigiComp, “Increasing Digital Competencies for Digital Immigrants: Combating Digital Divide and Digital Social Inequality,” funded within the scope of Erasmus+ Program School Education Strategic Partnerships action carried out by the Turkish National Agency, is a comparative research initiative on digital competencies for digital immigrants. In the study, which presents a qualitative research character, the document analysis method was used. The universe of the research consists of the research reports produced by the researchers of partner organizations from Turkey, Germany, and Spain during the research phase of the project. The entire detected universe has been reached. A descriptive analysis approach was used in the analysis of the obtained data. The analysis process was carried out within the framework of the themes shaped in the context of the research questions. Although each report has similarities, since it is sensitive to a common methodological framework, it contains unique approaches brought by different countries, expertise, and literature accumulation. It can be stated that the research has the potential to produce academic knowledge that can form the basis of practical policies focusing on the digital competencies of digital immigrants.