Reviewerly/exHarmony huggingface dataset:
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. 1. Type of peer review: Double anonymous 2. Conference submission management system: Morressier 3. Number of submissions received: 75 4. Number of submissions sent for review: 74 5. Number of submissions accepted: 48 6. Acceptance Rate (Submissions Accepted / Submissions Received × 100): 64% 7. Average number of reviews per paper: 2.00 8. Total number of reviewers involved: 51 9. Contact person for queries: Name: Elaine Jiang Affiliation: The Research Center for Stochastic Configuration Machines (SCM) Email: amds_2022@163.com * means value has been edited
The 24-Hours Food Recall System for Monitoring Diabetes Melitus Patients

Abstract:Diabetes Mellitus is one of the diseases that can cause complications for patients if neglected and is one of the causes of most death cases in Indonesia. This study aims to build a website-based system to help monitor nutrition for DM patients through 24 hours food recall (24HFR). The 24HFR system will integrate the roles of nurses and nutritionists in hospitals to understand patient eating behaviour and formulate nutrition education for patients. This system is built based on the SDLC stages, from the needs analysis stage to testing and implementing the program. The usability test results using SEQ show that health workers can easily use the website-based 24HFR system.
Evidence Summary Theme: Information Access and Retrieval

The Evidence Summaries in this issue take a very broad view of information access and retrieval.Koufogiannakis et al. (2004) define this domain of librarianship as "Creating better systems and methods for information retrieval and access" (p.233), but these Evidence Summaries expand the scope a little to include information seeking behavior as an important indicator of how our spaces, services, and systems need to function to enable access.Barriers to access can have deep roots.Prince reviews a study of a public library system that reveals the impact of historical and ongoing systemic inequities on children's access to library spaces and materials.Information cannot be accessed if it does not exist.This is an issue highlighted in the study appraised by Shen that explores the challenges of accessing accurate breast cancer information for transgender and gender non-conforming populations.Understanding information seeking behaviour is essential if we are to improve access.Fena and Jasmin review two different studies on information seeking behaviour, one focused on 2SLGBTQ+ students and the other on older adults.
Analisis Kebutuhan Bahan Ajar Tematik Tema 2 bagi Siswa Kelas V Sekolah Dasar

Abstract: This study aims to analyze the need for practical and interesting companion teaching materials according to the character of fifth grade elementary school students in order to be able to increase the character of students' curiosity. This study uses descriptive qualitative research methods. The data in this study were obtained from interviews with fifth grade teachers and the distribution of questionnaires to all fifth grade students at SDN Karangsari 2 Blitar City. Based on the results of interviews with fifth grade teachers, it was shown the need for companion teaching materials in theme 2. This is in line with the needs analysis questionnaire showing 78 percent of students need companion teaching materials for theme books. Based on the results of interviews and questionnaires, the needs analysis proves that it is necessary to develop complementary teaching materials for theme 2 thematic books that are integrated with technology to support interactive teaching and learning processes and can increase students' curiosity.&#x0D; Abstrak: Penelitian ini bertujuan untuk menganalisis kebutuhan bahan ajar pendamping yang praktis dan menarik sesuai dengan karakter siswa kelas V SD agar mampu meningkatkan karakter rasa ingin tahu siswa. Penelitian ini menggunakan metode penelitian kualitatif deskriptif. Data pada penelitian ini diperoleh dari wawancara dengan guru kelas V serta penyebaran angket kepada seluruh siswa kelas V di SDN Karangsari 2 Kota Blitar. Berdasarkan hasil wawancara dengan guru kelas V SDN Karangsari 2 Kota Blitar menunjukkan perlunya bahan ajar pendamping pada tema 2. Hal tersebut sejalan dengan angket analisis kebutuhan menunjukkan 78 persen siswa perlu bahan ajar pendamping buku tema. Berdasarkan hasil wawancara dan angket analisis kebutuhan membuktikan bahwa perlunya pengembangan bahan ajar pendamping buku tematik tema 2 yang terintegrasi dengan teknologi untuk menunjang proses belajar mengajar yang interaktif dan dapat meningkatkan rasa ingin tahu siswa.
Machine Learning Applied To Cervical Cancer Data

Cervical cancer is a type of cancer that occurs in the cells of the cervix. Cervix is the lower part of the uterus that connects to the vagina. It arises due to the abnormal growth of cells and spreads to other parts of the body. Smoking is also considered as one of the main causes for cervical cancer. Long term use of Oral contraceptive pills can also cause cancer. Also having multiple pregnancies can cause cervical cancer. Cervical cancer often has no symptoms in its early stages. It is fatal most of the time. The most common symptom is unusual vaginal bleeding. Here the machine learning algorithms are used to predict the occurrence of cervical cancer. Predicting the presence of cervical cancer can help the diagnosis process to start at an earlier stage.
The impact of an integrated STEAM project delivered via mobile technology on the reasoning ability of elementary school students

The aim of this research is to describe the impact of implementing an integrated STEAM Project via mobile technology on the Mathematical Reasoning ability of elementary school students and to describe the process of designing an integrated STEAM Project and mobile application. A quantitative descriptive and quasi-experimental research design was used, with data collected by observation. A pre-test, and post-test was administered to determine the impact of the STEAM Project on students' reasoning abilities. A sample of 130 fifth grade students, 70 female students, and 60 male students from different elementary schools in Meuraxa District, Aceh Province, Indonesia participated in the research. Results show that an empirical analysis of mobile technology is valid and feasible for use with fifth grade elementary school students. Prior to implementing the STEAM Project, the average pretest of reasoning ability was 40.44 with a standard deviation of 10.27. After implementation, the average score improved to 84.01 with a standard deviation of 7.31. The results of a Paired Sample Correlation obtained a mathematical reasoning ability score before and after implementation of the STEAM Project of 0.452. The calculations in the N-GAIN test table for the implementation of the STEAM Project on Reasoning Ability found 76 students, or 58.46 %, in the high category, and 54 students, or 41.54%, in the medium category. The results of this study provide information, and recommendations for the development of learning models that could improve reasoning abilities. The project could be used as a reference template to accelerate the recovery of quality education during challenging times such as a pandemic.
Pengukuran Koefisien Serapan Bunyi Spons dan Styrofoam dengan Menggunakan Smartphone

In this study, we analyzed the characteristics of samples sound absorption coefficient from sponge and styrofoam using a smartphone. The sound absorption coefficient is measured using a sound level meter and a frequency generator installed on a smartphone to determine the sound absorption coefficient. Samples were formed in circles with different thickness variations ranging from 1.5 cm to 15 cm. Through the tests that have been done, it can be seen that styrofoam has a higher sound absorption coefficient value than sponges. This research provides an alternative solution for measuring the sound absorption coefficient based on a smartphone device so that it is easy to apply, primarily to support the learning process related to sound material.
Fusion-S2igan: An Efficient and Effective Single-Stage Framework for Speech-to-Image Generation

The goal of a speech-to-image transform is to produce a photo-realistic picture directly from a speech signal. Recently, various studies have focused on this task and have achieved promising performance. However, current speech-to-image approaches are based on a stacked modular framework that suffers from three vital issues: 1) Training separate networks is time-consuming as well as inefficient and the convergence of the final generative model strongly depends on the previous generators; 2) The quality of precursor images is ignored by this architecture; 3) Multiple discriminator networks are required to be trained. To this end, we propose an efficient and effective single-stage framework called Fusion-S2iGan to yield perceptually plausible and semantically consistent image samples on the basis of given spoken descriptions. Fusion-S2iGan introduces a visual+speech fusion module (VSFM), constructed with a pixel-attention module (PAM), a speech-modulation module (SMM) and a weighted-fusion module (WFM), to inject the speech embedding from a speech encoder into the generator while improving the quality of synthesized pictures. More specifically, PAM is utilized to model the semantic affinities between visual pixels and allow the network to assign larger weights to the significant locations of the picture. Moreover, the VSFM adopts SMM to modulate the visual feature maps using detailed and fine-grained linguistic cues acquired by the speech vector. Subsequently, the weighted-fusion model captures the semantic importance of the image-attention mask and the speech-modulation module at the level of the channels in an adaptive manner, instead of using an addition or element-wise product. Fusion-S2iGan spreads the bimodal information over all layers of the generator network to reinforce the visual feature maps at various hierarchical levels in the architecture. We conduct a series of experiments on four benchmark data sets, i.e., CUB birds, Oxford-102, Flickr8k and Places-subset. The experimental results demonstrate the superiority of the presented Fusion-S2iGan compared to the state-of-the-art models with a multi-stage architecture and a performance level that is close to traditional text-to-image approaches.
Replacing bank money with base money: Lessons for CBDCs from the ending of private banknotes in Sweden

A number of central banks have started to investigate the possibility of issuing so-called Central Bank Digital Currencies (CBDCs). The aim may be to compete with cryptocurrencies of different kinds but also to replace digital commercial bank money with central bank issued digital money, i.e. replacing bank money with central bank-issued basemoney. In this paper we study a similar experiment when the Swedish central bank, the Riksbank, in 1903 replaced private banknotes with their own notes. The result of this policy was a massive increase in commercial bank credit due to the increase in base money, spurring the ongoing boom even further. A boom that worsened the 1907 crisis. The result is thus questioning the notion that increased monetary issuance by a monetary authority to replace other financial assets as private money or cryptoassets should lead to increased financial stability – as, in fact, it led to the opposite.
AS DIFICULDADES DAS MULHERES VÍTIMAS DE VIOLÊNCIA DOMÉSTICA PARA RETOMAREM SEUS ESTUDOS EM TEMPOS DE PANDEMIA COVID-19 NA CIDADE DE MANAUS AMAZONAS

This study aims to report the numerous difficulties that women victims of domestic violence face in resuming their studies in times of pandemic.The categories women, domestic violence and the COVID-19 pandemic are used to support the entire elaboration of this work.With the COVID-19 pandemic, both conflicts and difficulties increased for women to return to school.This research adopted a bibliographic approach, participatory and qualitative observation that were carried out with 3 women.Questionnaires with open and closed questions and interviews were used.It is noteworthy that all participants accepted to participate in the research.
THE EXPERIENCE OF JAPAN IN THE FIELD OF EDUCATIONAL EFFICIENCY

First of all, this article discusses ways to boost the efficiency of the educational system, in particular, the Japanese education system, which is one of the most developed countries in the world, and some aspects of the Japanese experience in the world of education, in general, commented on. In this article, the issues of attitudes towards students in the educational process in Japan and the development of their leadership abilities, which they do not even know themselves, are discussed.
Designing Semester Insturctional Plan of Reading Course at English Education Department

This study to design Semester Instructional Plan and instructional materials of reading courses for English Education Department (further glossed by EED), UIN Sultan Maulana Hasanuddin Banten. To design good Semester Instructional Plan and develop reading materials, this study used Research and Development method by utilizing ADDIE Model. Meanwhile, to gather data this study was used a variety of instruments such as distributed questionnaire to students, conducted interviews, analyzed curriculum document of EED, did consultation to curriculum experts and literacy practitioners. In terms of developing Semester Instructional Plan and instructional materials, this study also referred to manual guideline of developing curriculum from RISTEKDIKTI and learning outcomes in Indonesia Nasional Qualification Framework. The results of this study reveal that in designing Semester Instructional Plan of reading courses, the lecturer must determine learning outcomes which refer to the regulations in National Standard of Higher Education. Moreover, reading strategies and instructional materials at each reading course should be arranged gradually by paying attention to students’ language development and thinking level in order students acquire some reading skills and facilitate them to be skilled readers.
Research on Teaching Reform and Practice of Discrete Mathematics Course in Information Security Major

A proposed teaching reform idea is developed by examining the talent training approach of "Discrete Mathematics" within the information security curriculum and the unique features of the course's knowledge system. This new approach aligns with the characteristics of applied information security specialty and emphasizes the cultivation of practical information security talents. The proposed teaching reform idea involves integrating engineering ethics and MOOC teaching reform elements to expand the teaching approach and to develop a new course teaching mode.
Automatic Generation of Ontologies Based on Articles Written in Ukrainian Language

The article presents a system capable of generating new ontologies or supplementing existing ones based on articles in Ukrainian. Ontologies are described and an algorithm suitable for automated concept extraction from natural language texts is presented.Ontology as a technology has become an increasingly important topic in contemporary research. Since the creation of the Semantic Web, ontology has become a solution to many problems of understanding natural language by computers. If an ontology existed and was used to analyze documents, then we would have systems that could answer very complex queries in natural language. Google’s success showed that loading HTML pages is much easier than marking everything with semantic markup, wasting human intellectual resources. To find a solution to this problem, a new direction in the ontological field, called ontological engineering, has appeared. This direction began to study ways of automating the generation of knowledge, which would be consolidated by an ontology from the text.Humanity generates more data every day than yesterday. One of the main levers today in the choice of technologies for the implementation of new projects is whether it can cope with this flow of data, which will increase every day. Because of this, some technologies come to the fore, such as machine learning, while others recede to the periphery, due to the impossibility or lack of time to adapt to modern needs, as happened with ontologies. The main reason for the decrease in the popularity of ontologies was the need to hire experts for its construction and the lack of methods for automated construction of ontologies.This article considers the problem of automated ontology generation using articles from the Ukrainian Wikipedia, and geometry was taken as an example of the subject area. A system was built that collects data, analyzes it, and forms an ontology from it.
Augmented Reality in Indoor Navigation

AR-based indoor navigation is a promising technology that enables users to quickly navigate through challenging indoor environments. Augmented reality (AR) enhances the user's perception of the physical world and makes for a more natural and enjoyable navigation experience by superimposing digital data on the actual surroundings. This research examines the state-of-the-art AR-based indoor navigation, the underlying technology, and the challenges that must be overcome to realize its maximum potential. We provide a summary of the plane detection, route marking, and path following problems.
Using Augmented Reality for Visualizing Architectures of Software Modules

Nowadays the technology of augmented reality has become available for a wide audience of users because of a big number of software and hardware enhancements and optimizations done in the last years. The fact that the smartphone is a suitable and relatively cheap device having all the hardware required makes the technology even more accessible and thus widespread. Furthermore, the interaction with three-dimensional objects in space may have positive impact on user’s perception of information. These both facts make the technology of augmented reality a good choice for displaying complex data.The analysis of software plays a significant role in development as it is vital to keep the code clean and sustained all the time. Poor quality code may be unsustainable to the extent it must be fully replaced which results in big losses of resources. In terms of quality checks the analysis must be informative and consume as few resources as possible to be executed so that it is appropriate to perform it regularly. That is the reason for this process to be automated and made convenient to execute and percept.The new system for automatic software analysis is described in this article. ADAR (Architecture Displayer in Augmented Reality) software is best suitable for code coupling and cohesion analysis as it uses three-dimensional graph to display connectivity between parts of software module. High coupling and low cohesion might inform the developers of severe architectural mistakes that may lead to high code fragility. With the use of AR technology the result of high coupling detection analysis in the form of graph is presented in augmented reality to provide user the information in a highly intuitive way.This article also covers different approaches to graph visualization in three-dimensional space. The criteria that allow to achieve high level of aesthetics relative to this problem are stated in paper. The problem of using the force-directed algorithms in terms of high-aesthetic graph visualization is described in details and some arguments pro their usage are given.
Malaysia coin identification app using deep learning model

Most of the human work has been replaced by computers in recent years. With the rise of mobile technology and Internet access, recent developments in machine learning (ML) have designed many algorithms to solve diverse human problems. However, due to a lack of exposure to image processing, identification technology is still not widely employed in Malaysia. This paper outlines the steps involved in creating a mobile application for coin identification using ML. In the literature review, the history of the coins is studied in more depth and the features of already existing coin identification mobile applications are compared by their advantages and disadvantages. In addition, using the neural network model, the classification accuracy of successfully identified coins is recorded and disclosed. This study includes the limitations of the prototype mobile application and future improvements that could be added.
The Successive Next Network as Augmented Regularization for Deformable Brain MR Image Registration

Deep-learning-based registration methods can not only save time but also automatically extract deep features from images. In order to obtain better registration performance, many scholars use cascade networks to realize a coarse-to-fine registration progress. However, such cascade networks will increase network parameters by an n-times multiplication factor and entail long training and testing stages. In this paper, we only use a cascade network in the training stage. Unlike others, the role of the second network is to improve the registration performance of the first network and function as an augmented regularization term in the whole process. In the training stage, the mean squared error loss function between the dense deformation field (DDF) with which the second network has been trained and the zero field is added to constrain the learned DDF such that it tends to 0 at each position and to compel the first network to conceive of a better deformation field and improve the network's registration performance. In the testing stage, only the first network is used to estimate a better DDF; the second network is not used again. The advantages of this kind of design are reflected in two aspects: (1) it retains the good registration performance of the cascade network; (2) it retains the time efficiency of the single network in the testing stage. The experimental results show that the proposed method effectively improves the network's registration performance compared to other state-of-the-art methods.
PENINGKATAN MINAT BELAJAR SISWA MELALUI PENGEMBANGAN E-MODUL PADA PELAJARAN KBGT (Kerja Bengkel dan Gambar Teknik) PADA ERA NEW NORMAL DI SMKN 8 MALANG

&lt;p class="abstrak"&gt;The pandemic makes learning in the school environment limited, as a result the ability of students to understand and master the material of a subject decreases. Distance learning / online is the main choice so that the learning process continues. Online learning results in limited students getting learning resources from textbooks, so that their interest in reading and learning decreases. Researchers make innovations to overcome these problems by making an e-module product as student learning material with concepts and material content that are more interesting and easily understood by students. It is hoped that this e-module can increase students' interest in learning in KBGT lessons (workshop work and technical drawing) at SMKN 8 Malang. This study uses the Borg and Gall version of the R&amp;amp;D (Research &amp;amp; Development) method which is simplified by Anik Ghufron. The development model used has four stages, namely preliminary studies, development, field testing, and product development dissemination. This research is based on interviews and validation questionnaires. The results showed that the KBGT e-module developed was declared very feasible with a material validity value of 3.35 and media value of 3.43.&lt;/p&gt;