Reviewerly/exHarmony huggingface dataset:
Dataset of inertial measurements of smartphones and smartwatches for human activity recognition

This article describes a dataset for human activity recognition with inertial measurements, i.e., accelerometer and gyroscope, from a smartphone and a smartwatch placed in the left pocket and on the left wrist, respectively. Twenty-three heterogeneous subjects (μ = 44.3, σ = 14.3, 56 % male) participated in the data collection, which consisted of performing five activities (seated, standing up, walking, turning, and sitting down) arranged in a specific sequence (corresponding with the TUG test). Subjects performed the sequence of activities multiple times while the devices collected inertial data at 100 Hz and were video-recorded by a researcher for data labelling purposes. The goal of this dataset is to provide smartphone- and smartwatch-based inertial data for human activity recognition collected from a heterogeneous (i.e., age-diverse, gender-balanced) set of subjects. Along with the dataset, the repository includes demographic information (age, gender), information about each sequence of activities (smartphone's orientation in the pocket, direction of turns), and a Python package with utility functions (data loading, visualization, etc). The dataset can be reused for different purposes in the field of human activity recognition, from cross-subject evaluation to comparison of recognition performance using data from smartphones and smartwatches.
Political economy of gender and development in Africa: Mapping gaps, conflicts, and representation By Bhabani S. Nayak, UK: Palgrave Macmillan. 2023. pp. 223. $179.99 (Hardback). ISBN 978‐3031188282.

Poverty & Public PolicyVolume 15, Issue 4 p. 479-481 BOOK REVIEW Political economy of gender and development in Africa: Mapping gaps, conflicts, and representation By Bhabani S. Nayak, UK: Palgrave Macmillan. 2023. pp. 223. $179.99 (Hardback). ISBN 978-3031188282. Rahmah F. Soeyatno, Rahmah F. Soeyatno [email protected] orcid.org/0009-0001-8976-2997 The Agricultural Economics Program, IPB University, Bogor, Indonesia The Management Program, Pamulang University, Pamulang, IndonesiaSearch for more papers by this authorRia Kusumaningrum, Ria Kusumaningrum [email protected] orcid.org/0000-0002-7600-9488 The Agricultural Economics Program, IPB University, Bogor, Indonesia The Sharia Banking Program, Sahid Islamic Institute, Bogor, IndonesiaSearch for more papers by this authorAnggita T. Suryana, Anggita T. Suryana [email protected] orcid.org/0000-0002-8266-2600 The Agricultural Economics Program, IPB University, Bogor, Indonesia Research Center for Behavioral and Circular Economics, National Research and Innovation Agency, Jakarta, IndonesiaSearch for more papers by this author Rahmah F. Soeyatno, Rahmah F. Soeyatno [email protected] orcid.org/0009-0001-8976-2997 The Agricultural Economics Program, IPB University, Bogor, Indonesia The Management Program, Pamulang University, Pamulang, IndonesiaSearch for more papers by this authorRia Kusumaningrum, Ria Kusumaningrum [email protected] orcid.org/0000-0002-7600-9488 The Agricultural Economics Program, IPB University, Bogor, Indonesia The Sharia Banking Program, Sahid Islamic Institute, Bogor, IndonesiaSearch for more papers by this authorAnggita T. Suryana, Anggita T. Suryana [email protected] orcid.org/0000-0002-8266-2600 The Agricultural Economics Program, IPB University, Bogor, Indonesia Research Center for Behavioral and Circular Economics, National Research and Innovation Agency, Jakarta, IndonesiaSearch for more papers by this author First published: 17 November 2023 https://doi.org/10.1002/pop4.387Read 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 onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume15, Issue4December 2023Pages 479-481 RelatedInformation
THEORETICAL BASICS OF THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN THE TRAINING OF FUTURE TEACHERS OF POLISH LANGUAGE

Recently, new priorities for the development of education have been determined in Ukraine, therefore the process of its modernization has actively begun, taking into account modern challenges in the information and technological environment. The integration of Ukraine into the world and European community actualizes the task of training future teachers of the Polish language who are well versed in information and communication technologies of education. The article defines the concept of «information and communication technologies», characterizes the elements that include ICT in its conceptual scope, reveals the main characteristics of information and communication technologies, considers the features of the formation of generations X, Y, Z and Alpha, describes their psychological features. It is noted that in the current conditions of education development, it is important to take into account the characteristics of modern schoolchildren who are digital natives, that is, the generation that grew up surrounded by gadgets and digital technologies, and therefore the use of digital and multimedia technologies in Polish language lessons is natural and understandable a tool for them. It has been proven that training using information and communication technologies has many advantages, among which the main ones are the individualization of training; variability of application at different stages of training; improvement of the process of perception and assimilation of educational material; possible ways of determining the sequence of learning based on the analysis of students' errors; formation of students' self-esteem and creation of conditions for independent and individual work. The use of computers and Internet resources in the process of learning the Polish language expands the worldview of students, increases the intensity of learning, promotes the formation and development of creative abilities, the ability to use software tools as a tool for cognitive activity, the formation of knowledge of the basics of information culture, and provides comprehensive control of the educational process.
Discussion on Teaching and Exploration of Self-driving Perception Based on SLAM Mode

With the development of our economy, the progress of society, the improvement of science and technology, the related problems of autopilot have gradually attracted people’s attention.With the increasing number of cars, people are not satisfied with the traditional driving mode, from the perspective of future development, self-driving is bound to be able to be applied in the real situation.For the students of related majors, only by understanding the knowledge of autopilot can we lay a solid foundation for the future popularization of autopilot.Based on this, this paper analyzes the teaching and exploration of self-driving perception based on SLAM mode, hoping to beneficial to reality.
Efectos del uso de teléfonos inteligentes Smartphone en los estudiantes de educación básica regular

Smartphones in recent years have generated an impact throughout the world, especially in student learning, which is why we have focused this study on the students of the educational institution No. 80819 Francisco Lizarzaburú, El Porvenir district, Trujillo province. , La Libertad region whose title is: Effects of the use of smartphones in regular basic education students, since these devices have generated a great impact on human endeavor, especially learning. With the irruption of smartphones, the transformation in education has accelerated, and particularly in regular basic education students who are challenged by these ICTs. Students
Analysis of the Use of Learning Media in Early Childhood Education

A policy countermeasures disaster is something product of a series of complex considerations related to various aspects. Policy countermeasures for disasters are made based on conditions that Indonesia has a risk tall to disaster nature consider vulnerability; children fall victim to a disaster nature. Therefore a need exists to introduce and understand early disasters for children's own stock knowledge and understand the potency of disaster nature can just happen in the environment. Unit education for children aged early requires: 1 ) Specific policies related to education disasters for children aged early. 2) Books guide education disaster for the teachers in it there are steps to implementation education possible disaster integrated with activity intracurricular unit education. 3) Learning media For intended children as an effort to support education disaster in activity learning for more meaningful and fun. More carry-on application education disaster can be done by each Early Childhood Education Institution unit through the mechanism Disaster Education Project with step equalization perception, preparation, implementation and monitoring as well evaluation in implementation education disaster management in early childhood education units.
Aplicações de Inteligência Artificial em Energias Renováveis: Uma Revisão Sistemática

The Artificial Intelligence (AI) and its techniques are a broadly used field in engineering. Especially when studied in relation to renewable energy sources. Its study is important for the continuous development of the sustainable area, both in economic and social issues. Therefore, this paper aims to address the use of AI in renewable energy sources, such as solar and wind, by developing a systematic literature review. Emphasizing on the techniques used and their applications in everyday life. The main AI techniques that are highlighted in this paper are Optimization Methods, Machine Learning, and Fuzzy Logic. In each of the articles cited in this review there is at least one of these methods. In this aspect, it enabled the study in Renewable Energies, thereby highlighting its importance for the evolution of the theme proposed here.
The Trial of Public Voice in Anti-Sexual Harassment: Functions, Limits and Risks

With the awakening of womens consciousness, sexual issues are brought to the front stage, and the call to solve sexual harassment has been growing. The networks social public voice plays a huge role in this process. This study focuses on the effect of public voice in social sexual harassment incidents and analyzes its multiple functions in detail by combining legal theory and actual events. In conclusion, public voice helps spread sex-related events rapidly across all social strata, increasing the publics and relevant departments attention. However, radical public voice will also cause the focus of the problem to shift, promoting unnecessary group confrontation so that the real problem cannot be solved. This paper puts forward a targeted policy to solve the problem of sexual harassment and also points out the future optimization direction of the judicial system.
The digital food economy, from food regulation to data governance

The agri-food sector is transforming into a digital food economy. This chapter evaluates how this evolving digital food economy operates in the food supply chain. This chapter documents how this evolution works and its challenges in food regulation and data governance. Given China’s prominence in the digital food economy, this chapter considers China’s relatively comprehensive regulatory mechanism for general data governance. This chapter also assesses other jurisdictions like the EU, the US, and Australia and their efforts to shape the future of the digital food economy. It remains to be seen to what extent China’s online food regulation model can be an option for other jurisdictions and how institutional law might evolve to affect the digital food economy in China and elsewhere. As digital technologies advance and further transform the digital food economy, a continuing study of its forms and regulations is worthwhile.
Workshop Pembuatan E-Modul berbasis Canva

Teachers are currently required to be able to develop students' skills to face the challenges of the 21st century. Teaching materials are one of the important learning support elements that need to be continuously developed, in the form of books, modules, videos and infographics. Community service with the title workshop on making Canva-based E-Modules at SDN 49 Pasanggarahan, Majene district was appointed as an effort to increase teacher competence in making E-Modules that are more interesting and interactive than if they were made in Ms Word. In the process of making it, teachers are also expected to be more adept at sorting essential material and according to the cognitive stages of elementary school students. The method used is the training method, namely providing material presentation accompanied by training for teachers regarding creating E-Modules using the Canva application. The results of this activity showed that overall the activity was in line with participants' expectations (71%) and participants strongly agreed that the workshop held could improve participants' abilities regarding creating Canva-based e-modules (79%).&#x0D;
Pelatihan Penggunaan Mendeley Reference Manager Bagi Mahasiswa UNAS PASIM Bandung

student often face difficulties in compiling a bibliography for their academic papers. To avoid plagiarism, it is important to include a comprehensive list of references. The large number of references required in academic writing can make it challenging for some students to manually create a bibliography. To overcome this issue, there is an application called Mendeley that can facilitate the automatic generation of bibliographies. However, many students are still unfamiliar with how to use the Mendeley application, and some may not even be aware of its exixtence. Therefore, this training is organized with the aim of providing a comprehensive understanding to the general student population on how to use the Mendeley application effectively for automatic bibliography creation. The training aims to empower students to independently manage their references, with the hope of achieving maximum results, such as enhancing participants’ knowledge and understanding of using Mendeley, as well as improving their skills in utilizing the application for various types of academic writing, including final projects, journals and theses.&#x0D;
UJI HOMOGENITAS DAN HETEROGENITAS CLUSTER DATA INTERKOMPARASI ANAK TIMBANGAN

Intercomparison of mass quantities is an activity to compare performance between laboratories ofmass quantities and reference laboratories which produces intercomparative data in the form ofconventional mass values and uncertainty values. Clustering of weights was carried out to obtain ananalysis of the laboratory’s participants management. The analysis carried out is very dependent on theaccuracy of the cluster. Clustering using self-organizing maps algorithm, and the results are tested for thelevel of homogeneity within the cluster and the level of heterogeneity between clusters using the icdrate value.The clustering of intercomparison’s data using the self-organizing maps method resulted in an icdratevalue of 0,0713 for an artifact of 1000 g and an icdrate of 0,2889 for an artifact of 200g
Cloud Computing: a tool for effective records and information management system in Nigerian academic libraries

Academic libraries, as part of their traditional responsibility, engage in the collection and generation of data and records with a various degree of sensitivity and usefulness. This study examined the importance of library record and advocates for the implementation of cloud computing technology as a viable alternative to other mode of record storage. Cloud computing as a record management tool will help preserve the myriad of records generated from the daily activities of libraries. The paper also identified the danger of paper or electronic method of information storage. It argued that information stored in this format is susceptible to loss by theft, fire or computer viruses, hard drive collapse as well as the destruction of local library internet server due to poor maintenance culture on the part of the personnel. Apart from the data backup function, remote accessibility of these record is another key consideration for cloud computing utility in library record management. In view of the vast potential, especially in the area of its elastic storage capability, it is highly recommended for all academic libraries in the country. However, it is observed that the cost of data and irregular power supply are some of the challenges facing its adoption in Nigeria, as along with the vulnerability to cyber-attacks which may lead to a partial or total loss of record. In these regards, it is further recommended that cloud computing, as a service platform, is adopted as a backup platform rather than a sole tool for record and data management in academic libraries.
Convolutional neural network battery pack classification - Gramian angular field vs. Markov transition field

In battery pack manufacturing the main time-consuming aspects is the long test time for discharge and charge cycles. Making an AI that can assist by predicting the result of these tests while they are running is the end goal of this series of papers, where this is step one. To achieve this, the classification of the different battery pack types and the different tests must be performed. In collaboration with the company Banke Aps., who is a battery pack manufacturer, a database of tests has been build forming the foundation of this paper. Using the Gramian Angular Field (GAF) and Markov Transition Field (MTF) methods to transform the time series data into image form gives the possibility to utilize the standard convolutional neural network (CNN) structures to classify the battery pack and test type. Furthermore, building an algorithm that can distinguish between pass or fail tests with as high accuracy as possible, is important. Some question, that needs to be investigated, is which mathematical technique is best, GAF or MTF? Can these mathematical techniques identify important test features in the generated images and be used to estimate the test outcome? The performance of the AI is measured in percent accuracy and the aim is to achieve as high accuracy as possible (above 90%) giving the confidence to apply the AI in the battery factory test system. Here the AI will evaluate the battery pack in real time and give the operator an indication if the battery pack will fail in the future or not. To get above 90% accuracy, 10 pretrained neural networks will be tested and the best selected for this specific task. The networks range from ``simple&apos;&apos; (25 layers) to more complex (1243 layers) giving a good overview of the whole range of networks.
A compact and efficient AES-32GF for encryption in small IoT devices

The phenomenal growth of resource constrained devices in IoT set ups has motivated the researchers to develop solutions for securing information flow. In this paper, we present a compact and efficient field programmable gate array (FPGA) implementation of AES with 32-bit data-path named, AES-32GF. The implementation is carried out on different Xilinx FPGAs. In FPGAs, utilization of slices and look up tables (LUTs) reflect on the compactness of the design. Numerical results show that lesser resources are required with smaller data path in comparison with the original standard. With the help of data path compression and Galois field implementation of the s-box resource consumption is minimized. S-box is the most resource consuming component in the AES structure. In our implementation, Artix-7 series FPGA for the same. It results in significant resource savings. In comparison to unrolled AES-128 architecture, it achieves 87 % resource savings. With 595 slices and 2.004 Gbps throughput, AES-32GF cipher achieves an efficiency of 3.37 Mbps/slice. It outperforms other designs in terms of efficiency. •A compact and efficient FPGA implementation of AES with 32-bit data-path has been proposed.•The proposed design utilizes data path compression and Galois field implementation of the s-box to minimize resource consumption.•With 595 slices and 2.004 Gbps throughput, AES-32GF cipher achieves an efficiency of 3.37 Mbps/slice.
A Case Study of Korean Language Education Utilizing Poetry Recitation

This study aims to introduce a case of Korean language education using poetry recitation in literature and examine its educational implications. The study initially establishes that recitation and memorization have been traditional methods in foreign language education in South Korea and subsequently argues for the importance of memorization in Korean language education using literary works. Following the design of an educational program, classes were conducted from June 27th to July 25th, 2023. After completing the classes, the educational effects of using poetry recitation in Korean language education were examined among six participants who agreed to take part in the study. The educational implications of this research are as follows: Firstly, Korean language learners showed a high level of satisfaction in vocabulary, pronunciation, and intonation through the use of poetry recitation in Korean language education. Secondly, learners developed an increased interest in Korean literature and culture. Thirdly, learners experienced emotional stability and healing effects. Fourthly, learners gained confidence in learning the Korean language through this education. Lastly, participating in a ‘poetry recitation competition’ provided learners with an opportunity to showcase their abilities. This study is significant in focusing on the educational implications of poetry recitation in Korean language education using literary works. Furthermore, it differentiates itself by suggesting the potential of a new learning activity, poetry recitation, while most existing activities have been limited to imitation writing activities. Additionally, by providing real classroom examples, it offers immediate applicability in the field of Korean language education. Moreover, it extends beyond classroom education by offering opportunities for learners to apply the educational content they have learned through participation in 'poetry recitation competitions.'
Dated: Guidelines for Creating Synthetic Datasets for Engineering Design Applications

Abstract Exploiting the recent advancements in artificial intelligence, showcased by ChatGPT and DALL-E, in real-world applications necessitates vast, domain-specific, and publicly accessible datasets. Unfortunately, the scarcity of such datasets poses a significant challenge for researchers aiming to apply these breakthroughs in engineering design. Synthetic datasets emerge as a viable alternative. However, practitioners are often uncertain about generating high-quality datasets that accurately represent real-world data and are suitable for the intended downstream applications. This study aims to fill this knowledge gap by proposing comprehensive guidelines for generating, annotating, and validating synthetic datasets. The trade-offs and methods associated with each of these aspects are elaborated upon. Further, the practical implications of these guidelines are illustrated through the creation of a turbo-compressors dataset. The study underscores the importance of thoughtful sampling methods to ensure the appropriate size, diversity, utility, and realism of a dataset. It also highlights that design diversity does not equate to performance diversity or realism. By employing test sets that represent uniform, real, or task-specific samples, the influence of sample size and sampling strategy is scrutinized. Overall, this paper offers valuable insights for researchers intending to create and publish synthetic datasets for engineering design, thereby paving the way for more effective applications of AI advancements in the field. The code and data for the dataset and methods are made publicly accessible at https://github.com/cyrilpic/radcomp.