Reviewerly/exHarmony huggingface dataset:
Awareness Level of Visual Treatment to Reduce Motion Sickness Symptom in Inter-Island Ship Passenger

Increasing usage of inter-island transportation in Indonesia over the years and the characteristic of Indonesian waters in inducing motion sickness (MS), have attracted the authors’ attention to study deeper about MS symptom within the ship passengers in conjunction with its existing treatment and observe the response about possible alternative through visual intervention. Bali-Lombok area will be taken as case study following up the result of the survey, considering their important role in Indonesia tourism business with high density of tourist and locals utilizing sea transportation to reach attraction spots. Survey was done using online questionnaires to gather information about MS experience, severity, and passengers’ enthusiast for an alternative MS treatment by visual intervention. The questionnaire was filled by Indonesian as many as 300 respondents which 119 of them had experience MS and expressed their severity by completing Motion Sickness Assessment Questionnaire (MSAQ). As of today, ro-ro ferry as a well-known sea transportation in Indonesia, had proved to be the highest usage among participants from any occupation except for government and public employee. Furthermore, 80 participants out of the one experienced MS, felt the symptoms on board when the ship was sailing confirming relationship between movement and MS. Moreover, observation about severity level described drug therapy as top-of-mind therapy, followed by closing eyes or sleep. Even though some participants had awareness about correlation between eye and vision to treat MS symptom within moderate severity MS region, the treatment was not popular to carry out. However, based on data gathered, participants determined their interest to have opportunity in MS visual based treatment.
Implications of the School Literacy Movement with Picture Storybook Media

Interest and reading power are latent problems that occur in students and educators. On this basis, a government policy was issued in Permendikbud Number 23 of 2015 concerning the School Literacy Movement (GLS). One of the mandatory efforts is reading 15 minutes of non-lesson books every day (story books or other books). This study aims to analyze the implications of the school literacy movement using picture story books as media. The type of this research is qualitative with literature study method. The research materials and analysis studies are obtained through scientific reference sources, including books, articles, proceedings, theses, theses, and dissertations. These scientific sources are obtained through credible sites, such as Google Scholar, DOAJ, and SINTA. The results of this study indicate that the activities of the school literacy movement through the media of picture story books have a significant impact on students' reading power and interest. This is in terms of increasing students' knowledge insight, motivation to read books in students, and forming active literacy characters in students. The GLS stages include 15 minutes of reading pre-learning picture story books, reading prayers, reading verses of the Koran in short suras, singing the national anthem, and strengthening the teacher for the previous meeting's teaching materials. Thus, students are increasingly moving to get used to and love the world of literacy
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review : Single Anonymous • Conference submission management system : EasyChair and Morressier • Number of submissions received : 99 • Number of submissions sent for review : 76 • Number of submissions accepted : 70 • Acceptance Rate (Submissions Accepted / Submissions Received × 100) : 70.7 • Average number of reviews per paper : 2 • Total number of reviewers involved : 12 • Contact person for queries : Name : Dr. Eng. Obie Farobie Email : obiefarobie@apps.ipb.ac.id Affiliation : IPB University, Indonesia
Towards metropolitan free-space quantum networks

Quantum communication has seen rapid progress towards practical large-scale networks, with quantum key distribution (QKD) spearheading this development. While fibre based systems have been shown to be well suited for metropolitan scales, suitable fibre infrastructure may not always be in place. Here, we make the case for an entanglement-based free-space quantum network as a practical and efficient alternative for metropolitan applications. We developed a deployable free space QKD system and demonstrated its use in realistic scenarios. For a representative 1.7-km free-space link, we showcase its ad hoc deployability and achieve secure key rates of up to 5.7 kbps, with 2.5 kbps in direct noon sunlight. By extrapolating experimental data, we show that kbps key rates are achievable even for 10-km distances and multi-user scenarios. We anticipate that our work will establish free space networks as a viable solution for metropolitan applications and an indispensable complementary building block in the future global quantum internet.
Toward Building Organizational Resilience to Social Engineering among Higher Educational Institution Professionals

Social engineering is a serious security challenges faced by many organizations. It thrives on the use of behavioral and organizational weaknesses of humans rather than known technical loopholes in an information system. Organizations, thus, need to possess a sound basis for building resilience toward such information security threat. To this end, this chapter develops and tests a resilience framework for social engineering schemes in a Higher Education Institution (HEI) setting. A two-stage analysis is conducted toward this objective. It blends a computerized text analysis procedure to mine relevant content for building resilient organizations and applies the Analytic Hierarchy Process to develop and validate the framework. Results reveal personnel knowledge of the threat as the most important behavioral element for building resilience toward social engineering attacks. Similarly, knowledge of password management, information handling, and email security literacy emerged as the most important implementation level of building resilience. Target Audience This chapter sheds light on social engineering and how to build organizational resilience for such schemes. It offers insights to information security professionals, systems administrators, personnel, and even students in a higher educational institution environment. Foremost, it reveals the factors that contribute to building effective information security systems in an organizational setting. By determining the top-level factors, and implementation level factors, these professionals are provided with a clear direction on policy implementations and practices that help reduce the organization’s susceptibility to social engineering security risks. For instance, the implementation factors determined in the framework reveal specific operational policies or practices to consider for implementation. Also, the framework herein provides an assessment measure of the effectiveness of information security policies and practices. Therefore, the chapter contributes to the wealth of knowledge on assessing information security effectiveness and provides a useful basis for further extension in the HEI context.
Analysis of Reading Comprehension of Elementary School Students Using Cognitive Diagnosis Model: Focusing on G Metropolitan Children's Center

Objectives The purpose of this study is to analyze the reading comprehension of elementary school students using the cognitive diagnosis model, centering on the G city regional children's center.&#x0D; Methods The test scores of a total of 184 students who cooperated with the study through the cooperation of 40 regional children's centers in G Metropolitan City were analyzed. As a test tool, some items from the JNE Reading Ability Diagnostic Test developed by the Jeollanam-do Office of Education were used. For the analysis, the Fusion model was used among the cognitive diagnostic models, and a total of 7 cognitive factors were confirmed through the validation of the cognitive factor Q matrix.&#x0D; Results We divided the group into two types, the low-achieving group in reading comprehension and the normal-achieving group in reading comprehension, and compared the difference in scores and mastery of cognitive factors according to factual comprehension, inferential comprehension, and evaluative comprehension. And as a result of performing latent hierarchical analysis using M plus version 5.21, there were clear latent hierarchies based on three levels of understanding, and about 30% of the group had difficulty in reading.&#x0D; Conclusions In a study conducted assuming seven reading comprehension cognitions, it was found that the percentage of mastery of all seven cognitive elements showed the highest percentage through the item parameter estimation by the Fusion model. And the results of comparing the factual comprehension, inferential comprehension, and evaluative comprehension scores of the low-achieving reading comprehension group and the reading comprehension average-achieving group through item difficulty showed significant differences. Implications and discussions are presented through this.&#x0D; &#x0D;
A Comparative Review of Various Machine Learning Approaches for Improving the Performance of Stego Anomaly Detection

In recent years, steganalyzers are intelligently detecting the stego images with high detection rate using high dimensional cover representation. And so the steganographers are working towards this issue to protect the cover element dependency and to protect the detection of hiding secret messages. Any steganalysis algorithm may achieve its success in two ways: 1) extracting the most sensitive features to expose the footprints of message hiding; 2) designing or building an effective classifier engine to favorably detect the stego images through learning all the stego sensitive features. In this chapter, the authors improve the stego anomaly detection using the second approach. This chapter presents a comparative review of application of the machine learning tools for steganalysis problem and recommends the best classifier that produces a superior detection rate.
Automatic Negotiation between Autonomous Agents at the Network Edge

An edge network (EN) is characterized by direct interaction between neighbouring devices over one-hop wireless links. A client device may offload sensing or processing tasks to its neighbours acting as cloudlets, and at the same time must provide monetary incentive to motivate the completion of offloaded tasks. Unlike traditional cloud servers, EN devices are not managed by any centralized trusted third party (CTTP) and hence are not bound to follow fixed pricing schemes. Devices may engage a CTTP to mediate the pricing and transactions, but this will involve payment to CTTP and may not be the optimal choice. Instead the client and cloudlet may negotiate and reach a mutually beneficial agreement. In this paper, we propose an automatic negotiation protocol for EN devices. We model the scenario as an extensive game and derive a perfect Bayesian Nash equilibrium. We explain and model all the uncertainties involved, e.g. the data rate achieved over wireless links, lack of knowledge about processing rates of other nodes etc., and show how they affect the nature of negotiations.
Semantic Snapping for Guided Multi-View Visualization Design

Visual information displays are typically composed of multiple visualizations that are used to facilitate an understanding of the underlying data. A common example are dashboards, which are frequently used in domains such as finance, process monitoring and business intelligence. However, users may not be aware of existing guidelines and lack expert design knowledge when composing such multi-view visualizations. In this paper, we present semantic snapping, an approach to help non-expert users design effective multi-view visualizations from sets of pre-existing views. When a particular view is placed on a canvas, it is "aligned" with the remaining views -- not with respect to its geometric layout, but based on aspects of the visual encoding itself, such as how data dimensions are mapped to channels. Our method uses an on-the-fly procedure to detect and suggest resolutions for conflicting, misleading, or ambiguous designs, as well as to provide suggestions for alternative presentations. With this approach, users can be guided to avoid common pitfalls encountered when composing visualizations. Our provided examples and case studies demonstrate the usefulness and validity of our approach.
Traffic sign detection algorithm based on improved Tiny-YOLOv4

Abstract In order to balance the three requirements of high detection accuracy, fast detection speed and small model capacity, this paper proposes a traffic sign detection algorithm based on improved Tiny-YOLOv4. The backbone feature extraction network and feature pyramid network of original algorithm are improved, a new feature extraction module CRBottle is constructed and introduced into the network, and spatial pyramid pooling is added to enhance the ability of the network to extract features. Change to larger scale 52×52 and 104×104 prediction feature layers to improve the detection accuracy of small target traffic signs. The experimental results show that the improved algorithm achieves an average accuracy of 88.9% and a model memory capacity of 10.8MB. Compared with the original algorithm, the detection accuracy is increased by 13.4%, the model memory capacity is reduced by 11.8MB, the detection speed reaches 200FPS, and the comprehensive performance of the improved algorithm is better than other detection algorithms.
Digital Distance learning in the representations of students (Based on the materials of the Yaroslavl Region)

The article analyzes students’ ideas about the distance learning format. The author conducted a sociological study among full–time students. Three universities of the Yaroslavl region were selected for the study: pedagogical, medical and technical. It was important to assess the perception of distance learning by students of these universities, since these universities have different resources for mastering the material being studied. It has been established that after the decline in the incidence of COVID-19, distance learning is more practiced in a pedagogical university than in a medical and technical one, but also not in significant volumes. The survey revealed that students of a pedagogical university are more satisfied with the distance learning format than students of medical and technical universities. In addition, an interesting fact was established: the higher the material well–being of a student’s family, the lower the satisfaction with distance learning. In addition, an interesting fact was established: the higher the material well–being of a student's family, the lower the satisfaction with distance learning. Nonresident students and students with low academic performance are more satisfied with online learning. And there is an obvious pattern in this: the first are happy to study at home, and the second are happy with the weakening of control and the opportunity to find answers on the Internet or to write off from classmates. A gender imbalance has also been revealed: girls, unlike boys, find more advantages in distance learning. The main advantage of distance education, according to the girls, is that you don't have to get up “early”, have more free time, you don’t need to get ready for a long time and go to university. Students of a pedagogical university, to a greater extent than students of medical and technical universities, are convinced that their university, if necessary, is ready to conduct classes in a distance format. Most students of the medical university believe that it is not necessary to replace offline education with online, distance learning is advisable only as an additional one. The author of the article suggests measures aimed at improving the effectiveness of teaching in the distance learning format.
Introduction to Azure Data Factory

Azure Data Factory is the Microsoft Azure cloud service for data engineers for building, scheduling, and executing data integration and extract, transform, and load (ETL) processes. In this chapter, we’ll focus on how to build cloud-first ETL projects using ADF with ADF’s Mapping Data Flows code-free data transformation features.
Study of Four (4) Semi-Empirical Models for Estimating Direct Radiation from the Sun and Modeling for Application to the Solar Thermodynamic System

Concentrated solar power refers to all techniques aimed at transforming the energy of solar radiation into heat and converting it into electrical energy through a thermodynamic cycle. This sector is mainly advantageous for countries with a lot of sunshine, such as Niger. In opposition to photovoltaic solar technology which uses global radiation, thermodynamic solar technology uses direct radiation from the sun. To evaluate direct radiation, our study focuses on four semi-empirical models: Perin-Brichamlbault, Liu_Jordan, Kasten, and R_sun model. Our work focuses on the comparison of direct solar radiation results obtained experimentally with these semi-empirical models and the modeling of direct radiation. The measurements of direct solar radiation were compared with those of semi-empirical models. This comparison allowed us to identify the semi-empirical model that is closest to experimental results with an average relative error of 9.80%: it’s Perrin, followed by R_sun 15.11%, Liu_Jordan 18.26%, and Kasten model 31.69%. We have adapted the Perin-Brichamlbault model by adding two parameters: solar constant and correction Earth-Sun distance. By using these parameters average relative error was reduced to 4.93% over the day and instantaneous errors to around 1% between 9 am and 4 pm. That corrected Perin-Brichamlbault model can be considered one of best for the prediction of solar thermodynamic systems.
Measurement of Employee Information Security Awareness: A Case Study at an Indonesian Correctional Institution

Information security is a critical aspect of the rapid development of information technology in government agencies. The Directorate General of Corrections has been continuously improving its information security due to its highly confidential system's data, which includes the data of inmates and their relatives. This study aims to measure the level of employee information security awareness at the Indonesian Correctional Institution. The importance of each focus area was adopted from the KAMI Index and the HAIS-Q was measured by using the Analytical Hierarchy Process (AHP). A total of 87 valid questionnaire questions were distributed to 218 employees at the Directorate General of Corrections and the Correctional Unit. The questionnaire was processed by using descriptive statistics. The results showed that employee awareness regarding information security was satisfactory, with a value of 85.81%. This study also provides some recommendations to maintain and improve information security awareness.
Digital device use, dry eye and quality of life in youth

Purpose: Excessive screen use is a pervasive global phenomenon, recently aggravated by COVID-19-related mobility restrictions. Wide-ranging implications for health and quality of life are linked to extended screen time, the early onset of which may place young people at risk. This study evaluated screen use habits, dry eye disease markers and the associated impacts on quality of life and vision in a young cohort of extended screen users.
An Enhancement of DES, AES Based on Imperceptibility Along With LSB

A data or information becomes important if only certain people can receive the information. For example, keeping a confidential documentation file. Files stored do not guarantee to be free from access and abuse by crackers such as wanting to modify or distribute the contents of the file on the basis of providing benefits for them. The security of information can be increased by using cryptography to encrypt messages into a secret cipher. The steganographic method is a method used to protect messages by inserting them into other media. In this study, a combination of cryptographic algorithms, namely Data Encryption Standard and Advanced Encryption Standard, was used for the Least Significant Bit steganography method. DES has the advantage of using S-Box. DES is not immune to brute force attacks and has a key length of only 56 bits, thus it is necessary to optimize the DES algorithm. AES has a more complicated key randomization process using a certain loop where AES is an extension of DES. On the other hand, to obtain a high imperceptibility value, LSB is used. The results of the combination of 2 cryptographic algorithms with steganography were tested with parameters such as PSNR and MSE which got values of 73.66 dB and 0.016, which means they are ideal values for stego images that have a high level of similarity with the original image. Encryption and decryption processing, the best time is 0.438 seconds with various message file sizes used. Meanwhile, in the embedding results, the image file size is slightly larger.
Improving Medical Simulation Using Virtual Reality Augmented by Haptic Proxy

This chapter explores how the realism of haptic perception in virtual reality can be significantly enhanced with the help of the concept of haptic proxy. In haptic proxy, the position and orientation of physical objects are tracked in real-time and registered to their virtual counterparts. A compelling sense of tactile immersion can be achieved if the tracked objects have similar tactile properties to their virtual counterpart. A haptic proxy prototype was developed, and a pilot study was conducted to determine if the haptic proxy system is more credible than standard virtual reality. To test our prototype, we performed simple medical tasks such as moving a patient’s arm and aiming a syringe to specific locations. Our results suggest that simulation using a haptic proxy system is more believable and user-friendly and can be extended to developing new generations of open surgery simulators.
Declarative knowledge and product development process

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Firms are able to enhance their product development process (PDP) by utilizing of a Stage-Gate (SG) system to evaluate its performance. Emphasis on declarative knowledge elements during analysis of critical events at each phase of SG can facilitate learning within and across teams and help achieve the goal of continuous improvement through learning. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.