Reviewerly/exHarmony huggingface dataset:
Real Number Sequences and Limits

The exponential function “exp (x) = ex” and its corresponding inverse function the natural logarithmic function “ln(x)” are found throughout physics. The exponential function may be defined as the real number “e” to the power of the argument (the real number x). We are then lead to defining the exponentiation operation of a real number base to the power of a real number exponent (in addition to defining the number e). In turn, the exponentiation operation of a real number base to the power of a real number exponent may be defined, and its properties are derived from the exponentiation operation of a real number base to the power of a rational number exponent (discussed in Chap. 5) and from real number sequences and their properties. In this chapter, we will discuss real number sequences and some of their general properties that we will be applying to the definition of the exponentiation operation of a real number to the power of a real number exponent, which, in turn, will lead us to the exponential function.
CLEOPATRA’22: 3rd International Workshop on Cross-lingual Event-centric Open Analytics

The 3rd International Workshop on Cross-lingual Event-centric Open Analytics (CLEOPATRA 2022) is co-located with The Web Conference (WWW) and held on the 25th of April, 20221.
Human–Computer Interaction Design and Inverse Problems

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An improved YOLOv5-based bird detection algorithm for transmission line

In view of the large number of birds and dense small targets on the transmission line, this paper marks and makes a bird identification data set based on 20 common birds on the transmission line. The network model adopts yolov5s pre training model, which replaces the general convolution layer of the network structure with ghost lightweight convolution, replaces the bottleneck structure with ghostbottleneck module, and reduces the amount of calculation. The CBAM attention mechanism module has been added to the network layer to make the model more focused on regions of interest. The experimental results show that the mean average accuracy (map) of the improved yolov5 on the self-made bird data set is 94.2%,the detection effect is good, and the purpose of real-time identification can be achieved, which provides a reference for the prevention and control of bird related faults of transmission lines.
Basic Prognostic Modeling

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering.
Causal Analysis Graph Modeling for Strategic Decisions

The use of causal analysis graphs for developing and evaluating strategies in complex problems is illustrated through two case studies: agricultural production in Gambella, Ethiopia and the crisis in the South China Sea. A Timed Influence net tool called Pythia is used to analyze and evaluate possible courses of action for each case.
The Survey of Automatic Following Methods of Lower Limb Rehabilitation Robot based on Multi-Source Information Fusion

For some patients with lower limb mobility, lower limb rehabilitation technology could effectively assist patients to walk and reduce their difficulties in the process of moving. The following method applied to the robot can also provide support to the patient in time when the patient encounters an unexpected situation. In this paper we mainly introduced the development of following methods and two novel following approaches we are focused on. The first one is autonomous following method with piezoresistive films, the second one is robust following method with UWB and high-precision gyroscope. Then we discussed the probability of research about gait detection with EEG in rehabilitation robot.
A Metrics-based Approach for Assessing Architecture-Implementation Mappings

Several automated techniques for assisting engineers in creating mappings between source code (e.g., classes) and architecture elements (e.g., modules) have been proposed. They are generally assessed via precision and recall metrics. However, these metrics can only be evaluated post-mortem, i.e., once an expert created and validated all the mappings. In practice, given a set of mappings, engineers would like to assess their quality without (effortfully) validating the whole set. In this context, we explore a suite of quality metrics as an architectural fitness function for a ranking of mappings, which helps engineers select a useful list of those mappings. We empirically analyzed the evolution of our metrics in two projects using different mapping techniques.
Visión prospectiva de las universidades y la educación a distancia post COVID-19

In this paper, the authors will talk about the development of technological platforms and tools that will support the creation and implementation of techno-pedagogical paradigms to tech the XXI Century generations. By proving how the innovative model of the open and distance learning universities (UNAD, for its Spanish acronym) is not run out and can be renewed, taking as an example the COVID-19 pandemic and analyzing the carriers that provide change to a new education, where the need of innovation in higher education in open and distance modalities is an urgent matter. Undoubtedly, learning is one of the human capacities that has most influenced their development and evolution. Thus, the e-education concept is presented as an effort to develop talents and human capacities using the Internet and new information and communication technologies (ICT). This will allow introducing a generalized remote mode, which will create a different culture adjusting the school curriculum to an online strategy, and not a rigid one, that involves technological improvements, so general and specialized knowledge are combined to the needs of scientific, technological, and social development. Teachers work with students differently and provide help through more knowledge and experience. Recent studies are showing that there are more open and online options for teacher professional development and teachers access the Internet to expand their development opportunities through social media platforms. In this sense, the non-attendance process of education has improved its relevance globally. Although, the COVID-19 pandemic caused an accelerator effect on the digital transformation of the educational institutions.
DEVELOPMENT OF ICT-BASED WORKSHEET ON STEM-INTEGRATED TO INCREASE KNOWLEDGE, DATA LITERACY, AND TECHNOLOGY LITERACY OF HIGH SCHOOL STUDENTS

The development of education cannot be separated from the development of the current Industrial Revolution 4.0. One of the chops that can answer the industrial revolution is data literacy and technological literacy. The use of ICT-based teaching materials is needed in learning in this era. Correspondingly, stem integration will improve new literacy skills. However, in preliminary studies, the lack of ICT-based worksheet use in the learning process. The solution to this problem is to create STEM-integrated ICT-based worksheets. The purpose of this study is to determine the effectiveness of ICT-based worksheets in effective STEM integration work and energy teaching materials to improve students' knowledge, data literacy, and technology literacy. This type of research is Research and Development (R&amp;D) according to the Plomp model. The data obtained from this study is the result of expert validation. Data analysis techniques using descriptive statistical analysis with Aiken's V validation. The validation results of Aiken's V stated that the average of 0.80 had a high coefficient of Aiken's V criteria. This result was obtained from an average of three expert validators. Thus, an ICT-based worksheet, a STEM-integrated work, and energy material to improve the data literacy and technological literacy of SMA students is declared valid and suitable for learning. It is hoped that this worksheet can be a reference for further research to improve the quality of learning to answer the challenges of the upcoming revolution era
From the Principle of Objectivity of Scientific Knowledge to the Reconstruction of Different Situations of Knowledge Production

The article proposes to move from the principle of objectivity of scientific knowledge to the reconstruction of different situations of knowledge production. To do this, it is first shown that this principle does not work in the humanities and social sciences and has partially ceased to work in natural science (in the field of micro and macro phenomena). A scheme of the genesis of the principle of objectivity is outlined (the need to substantiate knowledge in the natural sciences, the proposals of Kant and Hume). As an alternative to the principle of objectivity, a reconstruction of different situations of knowledge production is proposed, containing two plans: including an external position, on the assumption that we know how everything really happened, and a borrowed one, in which the concept of cognition of those subjects that are subject to analysis is characterized. To demonstrate the logic of this reconstruction, several situations of the production of new knowledge are considered: using schemes (Plato’s work), ideas about thinking (Aristotle), mathematics and experiment (Galileo), interpretations of the researcher (Z. Bauman). Criteria for the truth and effectiveness of new knowledge, which differ significantly in the natural and human sciences, are discussed. For the natural sciences, it is a mathematical description of the processes and mechanisms of a certain natural phenomenon, as well as an experiment that makes it possible to calculate and predict, and create engineering structures. For the humanities, it is an interpretation of a phenomenon that ensures its understanding and use in certain audiences. Since the social sciences are focused on solving two problems at once (the ability to calculate and predict social processes and to comprehend (understand) the social actors who initiated these processes and act in them), insofar as the criteria of authenticity and effectiveness in the social sciences partially coincide with the criteria of the natural sciences indicated here, partly humanitarian.
Special issue on computer graphics international 2022 part 1

This special issue is dedicated to the best papers of the second Call of the CGI 2022 conference. This year CGI (Computer Graphics International) was organized by MIRALab at the University of Geneva. It was supported by the Computer Graphics Society. The conference was very successful and attracted more than 150 online participants through Zoom. Twenty-six papers were selected from more than 100 papers submitted to the second call of the conference. This issue contains nine full papers. The other selected papers will be published in the two next issues respectively 33.6 and 34.1. All papers have been reviewed by two or three reviewers of the CGI 2022 Program Committee, revised according to the reviewers' comments, and checked and reviewed again by the CAVW Editorial Board. The first paper in this issue is the recipient of the CAVW Best Paper Award given at CGI 2022 by the Award Committee chaired by Professor Nadia Magnenat Thalmann, MIRALab-University of Geneva, Switzerland, and Professor Constantine Stephanidis, ICS—FORTH, Greece. This awarded paper is: Simulation of collective pursuit-evasion behavior with runtime situational awareness by Zhenjing Yu, Tan Junyin, and Sheng Li, from Peking University, China.
ARD

Accidental fall is one of the major factors threatening the health of the elderly, which promotes the considerable development of fall detection technology. In our study, a novel method is proposed to detect falls prior to impact during walking. In terms of data collection, acceleration and angular velocity data are collected using a single sensor. By extracting distinctive features, our design goal is to accurately identify fall behavior at an early stage. To improve detection accuracy and reduce false alarms, a classifier based on the joint feature of accelerations and Euler angles (JFAE) analysis is developed. With the support vector machine (SVM) classifier, human activities are classified into eight categories: going upstairs, going downstairs, running, walking, falling forward, falling backward, falling left, and falling right. Not only can it achieve a sensitivity of 96.8% and precision of 96.75%, but also the method we proposed can achieve a high accuracy for the classifier. Compared with the method based on single feature, the method based on multiple features achieves a better performance. The preliminary results indicate that our study has potential application in a fall injury prevention system.
A RESEARCH ON ARAIMUDI OF TAMILS AND CAPING OF MALAYS

People have relied on personal ornaments, more generally known as jewellery, for hundreds of years to meet their basic needs. Jewellery predates modern humans as a genuinely universal type of ornament. Necklaces, rings, and bracelets are examples of jewellery that are made of or contain gems and metals. This research is about the araimudi of Tamils and caping of Malays. Caping, which is classified as jewellery, is a disc worn by children, especially in Peninsular Malaysia. Caping was first used in India, where it was known as araimudi. Indians are thought to have brought caping to this country as early as the Sri Vijaya era. The caping used by Malays has influences from the Hindu religion
Convert Your Event Attendees to Annual Donors

Special Events GaloreVolume 22, Issue 11 p. 6-6 Optimize Fundraising Potential Convert Your Event Attendees to Annual Donors Kim Pawlak, Kim PawlakSearch for more papers by this author Kim Pawlak, Kim PawlakSearch for more papers by this author First published: 06 October 2022 https://doi.org/10.1002/speg.31870Read 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume22, Issue11November 2022Pages 6-6 RelatedInformation
Dr. Sudhakar Rao’s IEEE APS Distinguished Lecturer Program During May/June 2022 [Distinguished Lecturers]

Reports on the AESS 2022 Distinguished Lecturer Program.
Advanced Programming Concepts

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering.
Compression of light fields

Light field imaging is a three-dimensional visual model providing a richer acquisition of the real world. In contrast to traditional cameras, which collect all light falling on the sensor and discard directional information of incoming light rays, light fields capture light information for each spatial position coming from any angular direction. Whereas this new imaging model expands the frontiers of immersiveness and quality of experience, it generates enormous amounts of data. The great demand for storage and bandwidth resources has motivated a considerable deal of research on light field coding, which recently culminated with the development of a standard, called JPEG Pleno. This chapter will present an overview of light field coding technologies, describe the methodology behind coding solutions proposed by JPEG Pleno, and compare some of the most efficient solutions.
Asteroid mining predictions based on logit model

With the development of the world aerospace industry, human access to space is becoming more common, meaning that the rich mineral resources of asteroids could be exploited by humans soon. To measure the impact of asteroid mining on world equity, we first choose nine indicators to model a country's combined national power and quantify world equity by measuring a country's combined national power. we determine the future vision of asteroid mining and analyze its impact on world equity, and we propose some hypothetical conditions for future asteroid mining. The obtained trend of the asteroid mining industry is applied Logit Model. We take the stable period which is a longer existence period to quantify the asteroid mining industry specifically, and we find that the development of the asteroid mining industry can effectively reduce the global inequity.
Solar Energy and Data Science: a prediction study for Manaus and the Amazon Basin

The renewable energies have confirmed their potential to reshape the energy matrix of several countries, in the last two decades, reinforcing the set of actions to better protect the environment.For instance, the solar and wind sources of energy production can dim the production and release of pollutants associated to electricity production.Unfortunately, the atmospheric temperature rise has been linked to the increase of the gas emissions, such as Carbon Dioxide (CO2) and Methane (CH4), from manifold sources, such as the thermal power stations for electricity generation.The Amazon basin has caught special importance for Brazil and abroad, and more recently, the use of satellites, fixed instrumented stations and airborne surveys has provided data focused on studies of the environment impact.This work deals with the assessment of the solar irradiation on the Manaus city, the largest city in the Western Amazon region, using Data Science tools, in a way to help the evaluation of the renewable energy in that region.
Data visualization

While visualization in academic literature was once rare, technological developments in data collection along with the spread of electronic publishing have led to an explosion of interest and demand. In this chapter, the authors discuss how readers can incorporate data visualization into graduate-level coursework. A key theme of this discussion is the imperative to consider the diverse needs of graduate students at different levels (i.e., M.A./M.S. and Ph.D.) and with different professional goals. We offer some personal reflections as well as a big-picture overview of available tools, resources, and considerations for instructors.
Neural Network model for classification of net CO2 fluxes scenarios in Tapajós Forest, in Amazon

The Amazon rainforest has a great influence on the global energy balance and carbon fluxes, responsible for the net removal of approximately 4 million tons of carbon per year, via photosynthetic activity. Climate change and deforestation have impacts on the carbon budget in Amazonia, transforming CO2 sink areas into sources. Given the complexity of the factors that govern the carbon exchange in the Amazon and its influence on biological processes, the use of Data science strategies can promote a better understanding about the main environmental factors for different scenarios, and also, assist in public policies to mitigate the global warming effects. This study aims to identify the environmental factors that determine the temporal variability of carbon exchanges between the biosphere and the atmosphere in the Tapajós National Forest, in the Amazon, applying Data Science strategies in an integrated set of environmental data from energy and carbon fluxes and remote sensing data. The specific objective is to assess the influence of a selected set of environmental variables on the variability of carbon exchanges, with the use of an artificial neural networks classification model to identify the variables with great impact on source, sink and neutrality scenarios in Tapajós National Forest. Data Science strategies were applied to an integrated dataset of ground-based carbon flux measurements and remote sensing data, considering the period between 2002 and 2006. An artificial neural network (ANN) classification model was developed to identify the environmental variables with great impact on carbon source, sink and neutrality conditions. The average global score of ANN model was 65%. It was possible to identify the predictor variables with greatest impact to the carbon sink condition: radiation at the top of the atmosphere, sensible and latent energy fluxes and leaf area index. Thus, the ANN model with an ensemble of Data Science strategies can improve a better understanding of variability CO2 fluxes and be a powerful tool to promote new knowledge.
Digital Payments in India: An Analysis

With the liberalisation of the Indian banking sector in 2014, the digital payment ecosystem has undergone a steady transformation which can be attributed to the usage of new technologies like Automated Teller Machines (ATM) and Magnetic Ink Character Recognition (MICR). Digital payment systems offer convenience and security while transacting. In 2010, a variety of payment products (stored value cards, wallets, and recharge vouchers) and service providers were introduced. The launching of Digital India in 2015, gave a further boost to the digitalization process. Initiatives have been taken to improve the payment infrastructure to make technology accessible and cost-effective. This study examines the growth of digital payments in India, growth in different modes of payment in India as well as growth in Indian Payment Infrastructures. For this study, data has been compiled from RBI Bulletin, RBI Annual Reports, RBI Reports and authentic websites. The analysis of Payment and Settlement System Statistics revealed exponential growth in the usage of various modes of digital payment. RBI has constructed Digital Payment Index (DPI) with a base period of March 2018 and a DPI score of 100. The high DPI scores released by RBI revealed the widespread use and deepening of digital payments in India. This has been made possible by the Government of India's and the RBI's consistent efforts to improve Payment Infrastructure. The study found that India is experiencing robust growth in the digital payments arena.