Reviewerly/exHarmony huggingface dataset:
Implementation of Two Point Security System Using Telebot

The implementation of a secure two-point security system is essential for protecting data in Internet of Things (IOT) environments.This paper includes an implementation of a two point security system using Telebot, a Chabot platform, in an IOT project.The system consists of two stages of authentication, with the first stage being a user's voice recognition and the second stage being a user's fingerprint recognition.The Telebot platform is used to facilitate the authentication process by providing a user-friendly interface for inputting the authentication information and verifying the user's identity.The system was implemented using Arduino Uno as the hardware platform, with in fingerprint sensor as the input devices.The proposed two-point security system provides an effective means of securing IOT devices and data, and the use of Telebot makes the authentication process more accessible and convenient for users.This paper contributes to the improvement of steady IOT structures via way of means of demonstrating the implementation of a two-factor protection gadget the use of Telebot, and gives insights into the layout and implementation of steady IOT structures.
"PAIKEM GEMBROT IN ENGLISH LANGUAGE TEACHING FOR YOUNG LEARNERS: A NARRATIVE INQUIRY OF TEACHERS' EXPERIENCE"

This research looks into the use of the Paikem Gembrot model as a method of teaching English to young learners. The study aims to understand the challenges and efforts of kindergarten teachers regarding the Paikem Gembrot method in introducing English to young learners. The study employed a narrative inquiry approach, using a narrative frame to gather data from 40 kindergarten teachers in East Java. The findings show that those teachers have positive perceptions of the Paikem Gembrot model and believe it to be successful in promoting English language learning among young learners. However, they also identified some challenges such as lack of understanding of the concept, insecurity, lack of appropriate learning tools and media, lack of teacher skills in managing the class, low attention span of children, and the young age factor. The teachers have got involved in attending seminars, sharing experiences with other teachers, and learning from a variety of media. They also suggested the development of simple and widely accessible learning tools and carrying out activities with a cheerful tone to address the technical issues.&#x0D;
Development of Puzzle Learning Media in Vocabulary Teaching Based on Quantum Learning

Students consider Arabic vocabulary challenging to understand, as with Ciomas Islamic Middle School pupils.Students need help understanding Arabic vocabulary because the educational method needs to be more appropriate for learning.This research aims to 1) know how vocabulary is taught in the seventh grade.2) to know the puzzle, a teaching aid is developed in vocabulary based on Quantum Learning.3) to know the effectiveness of developing the puzzle educational tool in teaching vocabulary based on Quantum Learning.4) to know the advantages and disadvantages of developing the educational puzzle based on Quantum Learning teaching vocabulary.The method used for research and development with puzzle educational tools uses Borg and Gall's development theory in seven steps.The results of expert evaluation of the medium, where experts assess the educational medium in terms of material quality and material with a value of a factor of 1, which, if described, has very high validity.The average value of the pre-test is 61%, and the average value of the post-test is 81.4%, with the significance value of the data being 0.00.
Learning in an attention-based economy and society

This theoretical paper investigates the learning process in a context that has been yet little explored but is extremely important. Learning in the context of the early information society has been studied by several authors but the information society itself has undergone significant changes since the mid-2000s so a new review is in order. The mass emergence of smart devices and the revolution of user-generated content-based social media has led to an attention-based economy and society. In this context, attention is a scarce commodity; smart devices, applications, and platforms compete for it. The attention of users, and learners, has become a value, as it is available only in small quantities. In this context, the concept of learning has to be redefined and a strategy regarding the whole world of schooling has to be prepered, and not just the use of ICT has to be defined. The paper will point out schools have to move beyond an ICT and device-based approach and shift the focus to the limits of human cognitive capacity, the selection and validation of information, and the challenges of high user experience. The starting point is that attention is no longer the gateway to perception and knowledge, and multitasking makes learning difficult.
Effects of anaerobic exercise training on human function based on multiple linear regression

In recent years, with the continuous enhancement of people’s fitness awareness, more and more people are doing anaerobic exercise training. Although anaerobic exercise training can improve physical fitness, people also have some problems in anaerobic exercise training due to the lack of necessary exercise training guidance. Therefore, in order to give full play to the role of anaerobic exercise training and enhance human body functions, this paper studies the effects of anaerobic exercise training and anaerobic exercise training on human body functions based on multiple linear regression analysis (MLR). This paper proposes an anaerobic exercise training model based on MLR, and conducts research experiments from seven aspects including exercise capacity, immunity, and cardiovascular function. The experimental results show that the MLR-based anaerobic exercise training mode can improve exercise capacity by 5.48%, immunity by 3.08%, and cardiovascular function by 4.31%.
Urban and Rural Media Reporting on Violence Against Transgender People

This chapter examines news coverage about transgender people murdered in Louisiana from 2010 to 2020. We present a content analysis of 84 articles about 16 victims in rural and urban markets. Specifically, we ask, how does community context influence the quantity and quality of reporting on murders of transgender people? Overall, we found that most articles included in this study did not deadname, misgender or otherwise stigmatise victims. However, we found that misgendering and/or deadnaming is more likely to occur when articles are reporting on official sources such as police reports or court records. Additionally, family members also contribute to confusion in media reports about an individual’s name and gender identity. In terms of community context, we found that a larger proportion of rural publications deadnamed or misgendered victims compared to urban publications. Finally, we observe that rural publications may be more likely to engage in deadnaming and misgendering due to a lack of resources and reliance on wire services for content. However, we argue that such articles can and should be edited to avoid othering transgender people.
Sub‐THz 3D printed lens based on diffractive neural network for low‐cost detection of orbital angular momentum states

Abstract Accurate detection of orbital angular momentum (OAM) is one of the critical techniques for OAM‐related communications. However, conventional OAM identification approaches are often complicated and costly. In this letter, a convenient method based on diffraction neural network (DNN) is presented for OAM states detection in the sub‐terahertz (sub‐THz) regime. The optimal phase distribution of the lens for OAM state detection is obtained from DNN training. Then, a prototype based on three‐dimensional printing is fabricated according to the training results. Numerical simulation and experiment are performed at 140 GHz to verify the proposed approach. The results show that the proposed method can accurately detect the OAM state with lower complexity. This convenient detection approach can provide a novel pathway for realizing low‐cost THz OAM receiving systems, promoting the development of future communication technology.
Cryptanalysis Attacks on Multi Prime Power Modulus Through Analyzing Prime Difference

The Security of Rivest, Shamir and Adleman Cryptosystem known as RSA and its variants rely on the difficulty of integer factorization problem. This paper presents a short decryption exponent attack on RSA variant based on the key equation where prime difference was carefully analyzed and came up with an approximation of as which enabled us to obtain an improved bound that led to the polynomial time factorization of the variant .
A Partial Face Encryption in Real World Experiences Based on Features Extraction from Edge Detection

User confidentiality protection is concerning a topic in control and monitoring spaces. In image, user's faces security in concerning with compound information, abused situations, participation on global transmission media and real-world experiences are extremely significant. For minifying the counting needs for vast size of image info and for minifying the size of time needful for the image to be address computationally. consequently, partial encryption user-face is picked. This study focuses on a large technique that is designed to encrypt the user's face slightly. Primarily, dlib is utilizing for user-face detection. Susan is one of the top edge detectors with valuable localization characteristics marked edges, is used to extract features vectors from user faces. Moreover, the relevance of the suggested generating key is led to a crucial role in security improvement by producing them as difficult to intruders. According to PSNR values, the recommended encryption algorithms provided an adequate outcome in the encryption, they had a lower encrypting duration and a larger encrypting impact.
Post-‘Lee-Luda’ personal information protection in Korea: developer responsibility and autonomous AI governance

Journal Article Post-‘Lee-Luda’ personal information protection in Korea: developer responsibility and autonomous AI governance Get access Chea Yun Jung, Chea Yun Jung Chea Yun Jung, Division of Humanities and Social Sciences, POSTECH, Pohang, Republic of Korea Search for other works by this author on: Oxford Academic Google Scholar Hyun Kyong Joo Hyun Kyong Joo Hyun Kyong Joo, School of Law, Chungnam National University, Daejeon, Republic of Korea Email: hkjoo@cnu.ac.kr Search for other works by this author on: Oxford Academic Google Scholar International Data Privacy Law, Volume 13, Issue 2, May 2023, Pages 154–167, https://doi.org/10.1093/idpl/ipad006 Published: 05 April 2023
Security hardening solution for docker container

Docker uses software isolation mechanism while sharing the operating system kernel with the host, which results in insufficient isolation between containers and hosts. Attackers can affect the stable operation of hosts and other containers by attacking containers, causing container escape issues. In this paper, we design a security hardening scheme for docker containers. By detecting the vulnerabilities in container images, it avoids malicious vulnerabilities and performs image measurement to ensure that the images before the container is started has not been tampered. Through the container integrity measurement module, the process of measuring the code segment, data segment, and the shared library of the container ensures that the contents of these areas will not be tampered during the container’s operation. Further, it reduces the attacking surface by setting the system whitelist for the container process and restricting the interaction between the container and the external network. This improves the container safety and reliability.
Variational Quantum Algorithms for Solving Vehicle Routing Problem

Vehicle Routing Problem (VRP) is considered one of the most challenging problems with application in several domains, including transportation and logistics distribution. VRP is known to be NP-Hard problem. Several algorithms have been proposed to solve VRP in polynomial time. However, these algorithms are inefficient if the VRP instance increases. Recently, researchers investigated how quantum computing can be used to solve VRP. In particular, two promising variational quantum algorithms have been studied, i.e., Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA). In this paper, we implement both algorithms on IBM Qiskit and compare their evaluation in solving several instances of VRP. We observe that current Noisy-Intermediate Scale Quantum (NISQ) devices cannot solve VRP instances beyond 5 nodes and 2 vehicles. Furthermore, we observe that classical optimizers still provide better results. However, we believe that with the rapid advancement of quantum computing manufacturing, VQE and QAOA can provide better performance as compared to classical computing,
Designing and monitoring educational outcomes

The main aspects of the analysis and monitoring of educational results with the assessment of positions and ensuring the quality of education are revealed. The technological features of the study of research within the competence model of the graduate are described in detail. A series of practical works aimed at developing theoretical teaching aids is proposed. The book is intended for students of the training direction 44.04.04 - Vocational training (by industry), as well as other areas of the enlarged group of specialties "Education and Pedagogical Sciences", and is also recommended for young researchers and practicing teachers.
Study of Data Privacy and User Data Control

Data is information in the form of facts or statistics obtained froma variety of sources thatmust be analysed, processed, and used to aid decision-making, or information in an electronic form that can be stored and accessed by a computer. In a world with ever-growing amounts of data, privacy is a crucial topic to scrutinize. Privacy of data defines the practices which checks the data shared by users is only used for its valid purpose. It focuses on the proper handling of sensitive data, such as personal data but also other private data, such as some important data and intellectual property data, in order to meet the criteria while simultaneously protecting the data’s secrecy and invariability. Data control is the management of information strategies for a company’s data. Data control, unlike data quality, focuses on observing and reporting on how processes are performing aswell as controlling faults. Inspection, validation, alerting, documentation, issue reporting, and issue tracking are all functions. In this paper we have conducted survey of software users who are using spy-ware or antitheft software’s to prevent breaches.
Learning from the City: An Emotional Journey

Urban space is a real anthropological space, the result of the mixture of real sites and emotional references. In small urban realities, similar to the six villages of this research, the relationship between site and inhabitant is strong. The advent of new media and a different sociality has altered customs consolidated over time, unhinging the emotional link with real space. This research promotes the creation of an implementable platform that allows users to ‘learn’ from the city through an ‘emotional journey’. The platform elaborates a strategy to strengthen the bond between the city and its inhabitants. The centres involved in the research are six small villages of the Sicilian Ionian coast: Forza d’Agrò, Casalvecchio, Mandanici, Fiumedinisi, Alì and Itala. The research work flow includes: building a database of emotions and memories; choice of a communication strategy; elaboration of emotional maps and integrated multimedia contents.
Organizing differentiated instruction in STEAM activities for students with disabilities in elementary inclusive setting

Currently, more and more training programs in many countries connect STEAM education to teaching and learning; however, students with disabilities still do not have access to STEAM activities in a methodical way and lack differentiation to be able to meet the needs of students with disabilities. In addition, differentiated instruction is widely known as a teaching model or approach to meet the diverse needs of students in the classroom, especially in an inclusive setting with students with disabilities. Therefore, this article focuses on understanding the issue of differentiated instruction in STEAM activities for students with disabilities in inclusive classrooms in elementary settings; from there, it propose some ways of organizing differentiated instruction in STEAM activities for students with disabilities to learn at inclusive elementary schools.
Convolutional neural network channel pruning based on attention mechanism

Convolutional neural networks use convolution as a special operation to achieve powerful inference by fitting a large number of parameters to the result. However, the sheer number of parameters does not allow us to fully understand how the network works, and research on network tailoring has been emerging in recent years to understand the exact mechanics of network operation. In this paper, by introducing the attention mechanism SEBlock in the Imagenet 2017 champion network SEnet, we find out the preference for input channels in the attention mechanism and propose a corresponding channel evaluation mechanism based on this preference to achieve the goal of allowing convolutional neural networks to perform on-channel pruning operations on the network while getting the performance improvement brought by the attention mechanism. In the CIFAR-10 task, the VGG16 network was able to outperform the original network by only 0.02% after 20% cut, and the Resnet family of networks was able to outperform the original network even with a 10% cut.
Applying STEAM method according to 5E MODEL IN inclusive education for preschool children with special needs

The article focuses on understanding the concept of STEAM education, the STEAM method in inclusive education as well as the 5E model. Through theoretical research, the article has overviewed the application process of using STEAM according to the 5E model in the education of children with special needs in inclusive preschools. The results of this study suggest the application of an integration model between STEAM method and the 5E model in learning and playing activities to improve the quality of early intervention and inclusive education for preschool children with special needs in Vietnam.
STEM Art education application for students with intellectual disability in inclusive elementary schools under the General Education Program 2018

Studies in STEM Art (STEAM for short) have been applied to almost all ages, from kindergarten, elementary school, and high school, and at all levels of higher education. Currently, STEAM education has also been deployed on students with disabilities in different educational environments. This article mentioned to the issue of researching STEAM education for students with intellectual disability in inlusive elementary school under the General Education program in 2018. Issues of STEAM education for students with intellectual disability who are studying at inclusive elementary schools are discussed and some strategies for organizing STEAM educational activities for students with intellectual disability at inclusive elementary school are proposed in the article in order to improve the quality of STEAM education in general and STEAM education for students with disabilities in inclusive elementary schools in particular.
An Alternative Curriculum Learning Approach with Macro Actions for Deep Reinforcement Learning

It is challenging to train deep reinforcement learning (DRL) agents for tasks with sparse rewards, especially for those that require combining discrete actions with flexible control, e.g., the scoring task for robots in RoboCup soccer. Curriculum learning has been considered as a useful tool for DRL to accelerate the learning process by splitting the task into a sequence of progressively more difficult subtasks. In this paper, we propose an alternative curriculum learning approach that firstly makes the task easier by introducing macro actions, i.e., predefined procedures of actions for solving several subtasks. Once a DRL agent has been well trained for the easier task, the approach will disable one of the macro actions and continuously train the DRL agent for the refined task. The approach continues the process until all macro actions were disabled and a DRL agent were trained for the original task. Experiments on the Half Field Offense (HFO) platform for simulated RoboCup soccer show that the approach is effective and able to learn robust policies for challenging tasks, like HFO 2v2, which has not been reported to be solved by DRL as far as the knowledge of the authors. A demonstration video is available online at https://youtu.be/e6kunbAhhaY.
From offline to online. LSP classes in Spanish philology during the pandemic

The aim of the text is to present the author's didactic concept and tools and methods implemented in online LSP classes in Spanish philology in Adam Mickiewicz University (Poznań) during the pandemic.The starting point of this paper is to reflect on some factors which should be considered when preparing LSP classes at university level.The authors focus on some new ICT tools and methods implemented during online classes.The aim is to present as well student's opinions and comments about online classes to better adapt materials and digital resources to their needs and implement some innovations in higher education that can be beneficial also after the pandemic.From offline to online.LSP classes in Spanish philology during the pandemic
Bibliometric Study of Authorship Pattern Literature

The main objective of this study is to conduct a bibliometric analysis of scholarly publications of Authorship Pattern. The present study covers 1723 research papers published in the area of authorship pattern and indexed in Scopus database from the year 2013 to 2022. These research publications considered for the present study have been analysed based on their year wise growth, pattern of authorship, times citations, type of publication, most productive publication source as well as countries and institutions. The study shows the positive growth of the literatures with collaborative authorship pattern and good citation status. This original research paper will be helpful to the researchers of library and information science, especially who are working in the area of bibliometrics studies.
Certified Distributional Robustness on Smoothed Classifiers

The robustness of deep neural networks (DNNs) against adversarial example attacks has raised wide attention. For smoothed classifiers, we propose the worst-case adversarial loss over input distributions as a robustness certificate. Compared with previous certificates, our certificate better describes the empirical performance of the smoothed classifiers. By exploiting duality and the smoothness property, we provide an easy-to-compute upper bound as a surrogate for the certificate. We adopt a noisy adversarial learning procedure to minimize the surrogate loss to improve model robustness. We show that our training method provides a theoretically tighter bound over the distributional robust base classifiers. Experiments on a variety of datasets further demonstrate superior robustness performance of our method over the state-of-the-art certified or heuristic methods.