Reviewerly/exHarmony huggingface dataset:
Building Smart Mobile Apps with Flutter and OpenAI AI-Powered Text and Images and Chatbots

Abstract: This research paper investigates the use of Flutter and OpenAI for creating intelligent mobile applications that utilize artificial intelligence to enhance text and image generation, as well as Chabot features. By conducting a review of the existing literature and empirical analyses, a prototype application was developed to showcase the potential of these technologies in improving mobile app functionality and user experience. The study delves into the concepts and techniques underlying AIpowered text and image generation, as well as Chabot integration, and evaluates their effectiveness in enhancing user engagement and satisfaction. The research findings reveal that the combination of Flutter and OpenAI can lead to significant improvements in mobile app performance and user experience. The prototype application demonstrates the feasibility of integrating AI-powered text and image generation, as well as Chabot features, in a mobile app. The study also identifies future areas for research and development, such as enhancing the naturalness and accuracy of generated text and images, and improving the intelligence and responsiveness of chatbots.
The Effectiveness Of Infographics Towards Students’ Reading Comprehension

The aims of this research are (1) to find out how to apply infographics towards students' reading comprehension; (2) to find out the effect of using infographics as learning media towards students‟ reading comprehension; (3) to find out students' respond to the use of infographics as learning media. This research method is quantitative with a pre-experimental research design type of one-group pretestposttest design. The instruments in this study were tests, questionnaires, and observations. The test consists of a pretest, which is a test before being given treatment, and a posttest, which is a test after being given treatment. The treatment in this study is the application of infographics as learning media in procedure text. The results show that (1) the application of infographics can be applied to a text to clarify the contents of the text because it is supported by the visual elements of the infographics. The application of infographics in this study is to apply infographics to procedure text. The procedure text is presented in infographic form supported by illustrations and visual elements on infographics. (2) there is an effect of using infographics as learning media towards students' reading comprehension. It can be seen from the results of the paired sample test. With the significant value or Sig. (2-tailed) is 0.00 which is less than 0.05 it means that Ha is accepted. Another analysis of the paired sample test by comparing the t-test with the t-table, where ttest &gt; t-table is 9.724 &gt; 2.093 it means that Ha is accepted. Supported by the pretest-posttest results, can be seen from the difference in pretest and posttest values where the pretest has a mean of 34.75 and the posttest has a higher value of 63.757. (3) there was a good response from students towards the use of infographics as learning media. Students gave a positive response from the use of infographics as an effective medium in helping reading comprehension. This can be seen from the percentage (80%) of students agreeing with the statements in the questionnaire “I feel infographics can help me understand the text”. Supported by the results of observations with an average of 98%, it can be interpreted very good. Based on the analysis, it can be concluded that infographics are an effective learning media towards students'
Quantum-Enhanced Blockchain: A Secure and Practical Blockchain Scheme

The rapid advancement of quantum technology poses significant security risks to blockchain systems. However, quantum technology can also provide solutions for enhancing blockchain security. In this paper, we propose a quantum-enhanced blockchain scheme to achieve a high level of security against quantum computing attacks. We first discuss quantum computing attacks on classic blockchains, including attacks on hash functions, digital signatures, and consensus mechanisms. We then introduce quantum technologies, such as a quantum hash function (QHF), a quantum digital signature (QDS), and proof of authority (PoA) consensus mechanism, into our scheme to improve the security of the blockchain system. Our security analysis demonstrates that our scheme offers superior security against quantum and classic attacks. Finally, we compare our scheme with previous works, showing that our scheme has achieved a perfect balance in terms of practicality, reliability, scalability, and efficiency. Overall, this work contributes to the ongoing research on quantum blockchain in the quantum era.
IMPROVING ABILITY TO KNOW THE CONCEPTS OF EARLY CHILDREN'S PATTERNS THROUGH DIFFERENTIATE LEARNING

This study aims to improve the ability to recognize the concept of patterns in early childhood through differentiation learning at Pembina State Kindergarten, Mojokerto City. This type of research is action research carried out in two cycles. The subjects in this study were children aged 5-6 years with a total of 16 children consisting of 10 girls and 6 boys. Data collection techniques in this study used performance, while data analysis in this study used descriptive statistical analysis. The results of this study indicate that there is an increase in the ability to recognize pattern concepts through differentiated learning, namely the percentage of completeness in cycle I is (33.3 percent) with information that children are still confused about and often ask about the sequence of patterns that have been explained by the teacher. The increase in cycle II was (85.42) percent, with information that children were faster, precise, thorough, and independent in drawing up patterns. The conclusion from this study is that the activities of the differentiated learning model can improve the ability to recognize the concept of patterns in early childhood.
Text-to-Sketch Synthesis via Adversarial Network

In the past, sketches were a standard technique used for recognizing offenders and have remained a valuable tool for law enforcement and social security purposes. However, relying on eyewitness observations can lead to discrepancies in the depictions of the sketch, depending on the experience and skills of the sketch artist. With the emergence of modern technologies such as Generative Adversarial Networks (GANs), generating images using verbal and textual cues is now possible, resulting in more accurate sketch depictions. In this study, we propose an adversarial network that generates human facial sketches using such cues provided by an observer. Additionally, we have introduced an Inverse Gamma Correction Technique to improve the training and enhance the quality of the generated sketches. To evaluate the effectiveness of our proposed method, we conducted experiments and analyzed the results using the inception score and Frechet Inception Distance metrics. Our proposed method achieved an overall inception score of 1.438 ± 0.049 and a Frechet Inception Distance of 65.29, outperforming other state-of-the-art techniques.
Technical Perspective: Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs

Query engines are really good at choosing an efficient query plan. Users don't need to worry about how they write their query, since the optimizer makes all the right choices for executing the query, while taking into account all aspects of data, such as its size, the characteristics of the storage device, the distribution pattern, the availability of indexes, and so on. The query optimizer always makes the best choice, no matter how complex the query is, or how contrived it was written. Or, this is what we expect today from a modern query optimizer. Unfortunately, reality is not as nice.
Performance Evaluation of Jaya Algorithm During Search Space Violation

In this work, the efficiency and performance of the Jaya optimizer are evaluated for two different initialization methods. In the course of the entire iterative process, these starting approaches are used whenever an aspect of any explanation violates the exploration area. The violating aspect is initially set up in the first technique close to the edge of the exploration area. In the second, the violating aspect of the exploration area is initialized at irregularly. For performance comparison, eight different unimodal measure exercises are reduced using the modified Jaya approach. The appraisal of the evenhanded exercise, or figure of merit, along with its mean, minimum, standard deviation, and maximum appraisals are used to compare efficacy and performance.
Certified Compilation of Choreographies with hacc

Programming communicating processes is challenging, because it requires writing separate programs that perform compatible send and receive actions at the right time during execution. Leaving this task to the programmer can easily lead to bugs. Choreographic programming addresses this challenge by equipping developers with high-level abstractions for codifying the desired communication structures from a global viewpoint. Given a choreography, implementations of the involved processes can be automatically generated by endpoint projection (EPP). While choreographic programming prevents manual mistakes in the implementation of communications, the correctness of a choreographic programming framework crucially hinges on the correctness of its complex compiler, which has motivated formalisation of theories of choreographic programming in theorem provers. In this paper, we build upon one of these formalisations to construct a toolchain that produces executable code from a choreography.
THE ROLE OF CONTEXTUAL TASKS IN THE FORMATION OF MATHEMATICAL LITERACY OF STUDENTS IN MATH LESSONS AT SCHOOL

This thesis explores the role of contextual tasks in the formation of mathematical literacy of students in math lessons at school. Mathematical literacy includes not only the ability to solve mathematical problems, but also an understanding of mathematical concepts and their application in real situations. Contextual problems are mathematical problems that are placed in a realistic context, which allows students to see the connection between mathematics and everyday life. The article discusses the advantages of using contextual tasks, methods of their construction, as well as the impact of contextual tasks on the development of mathematical literacy of students.
Supervised Contrastive Generative Adversarial Networks

Generative Adversarial Networks (GANs) is becoming more and more popular, artists use them to find their own inspirations, computer scientists use it for data synthesis, workers use it for machine fault diagnosis and so on. However, GANs are flawed despite its popularity: they are unstable. GANs are based on game theory. In a typical GAN model, the generator and the discriminator are both improved by competing with each other. Therefore, in this highly competitive training process, GANs can easily run into trouble while they move towards the optimal solution. In most cases, the case of such instability arises from the loss function, or in other words, the gradient of the loss function. This research proposed a new set of GAN that replaces its objective function with supcon, or the supervised contrastive loss to solve gradient-related problems. We have also proved that under our model, the GANs are less likely to suffer from these two factors of instability. Finally, we have compared our model and the traditional generative adversarial nets.
Developing Resources for Measuring Text Readability in Sesotho

This article presents a work-in-progress doctoral project that explores measuring text readability in Sesotho, a Bantu language spoken by more than 10 million speakers across Southern Africa. The main project adopts a classical readability formulas approach to text readability analysis. We aim to adapt nine existing readability metrics into Sesotho using English as a higher-resourced helper language. So far, five resources have been developed as part of the study. The rule-based and the TeX-based syllabification systems, the syllable annotated word list, and the grade 12 exam reading comprehension and summary writing corpus have been published on the South African Centre for Digital Language Resources' (SADiLaR) online repository. The machine-translated corpus is still under development. This article describes the progress of the PhD project by overviewing the basic digital language resources developed for the project. The metrics under consideration for adaptation into Sesotho are also briefly discussed.
Editorial announcement

Applied Cognitive PsychologyVolume 37, Issue 4 p. 682-682 EDITORIAL Editorial announcement Graham M. Davies, Corresponding Author Graham M. Davies [email protected] Correspondence Graham M. Davies. Email: [email protected]Search for more papers by this author Graham M. Davies, Corresponding Author Graham M. Davies [email protected] Correspondence Graham M. Davies. Email: [email protected]Search for more papers by this author First published: 08 June 2023 https://doi.org/10.1002/acp.4094Read 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. Volume37, Issue4Special Issue: Rethinking Cognition in a Digital EnvironmentJuly/August 2023Pages 682-682 RelatedInformation
Pengembangan Komik Digital Huruf Jawa pada Mata Pelajaran Bahasa Jawa Kelas VII di SMP Negeri 29 Surabaya

AbstractJava script digital comic media was developed with the aim of: producing appropriate Javanese script digital comic media in Javanese language learning for class VII SMP Negeri 29 Surabaya, getting new experiences in learning and providing a positive influence on students, namely by increasing student learning outcomes, making it easier for teachers to implement learning, especially for the material Java letters. In this study, researchers used research and development methods or better known as Research and Development. Research and development methods are research methods used to produce certain products, and test the effectiveness of these products. The research used is a needs analysis and to test the effectiveness of the product so that it can function in the wider community. In this study, researchers developed a Javanese script digital comic media for even semester VII graders. The test subjects for digital comic media were 20 students of SMP Negeri 29 Surabaya in class VII. Data analysis is divided into two types, namely qualitative data analysis and quantitative data analysis. This development research uses Dick &amp; Carey development with ten steps of development, namely, identification of learning objectives, learning analysis, learner analysis and context, determining learning objectives, developing assessment instruments, learning strategies, selecting learning materials, designing and conducting formative evaluations, revising and designing and conduct a summative evaluation. By following these ten steps, it can be concluded that the development of Javanese script digital comic media in Javanese language subjects at SMP Negeri 29 Surabaya for class VII students with the Dick and Carey development model is said to be feasible to be applied in the learning process of Javanese language subjects. Keywords: Digital Comics, learning development, Javanese language
Utilization Edmodo Application in Study Bahasa Indonesia

This study is a type of qualitative research. This study aims to describe the use of the Edmodo platform in learning bahasa Indonesia. The data analysis method used in this research is content analysis. This analysis method is used to describe the object, namely what features can be used for learning bahasa Indonesia. The edmodo platform was developed in 2008 by Nic Borg dan Jeff O’hara. Based on the results of the analysis, there are eight features in edmodo that can be used for the learning process.
Introduction to Characteristics of Authenticity in Rupiah Based on Augmented Reality

This research is developing an application introduction to the characteristics of the authenticity of the rupiah by applying a system of Augmented Reality (AR) on android mobile devices. The Act of forgery of currency has a broad impact and is very detrimental to society. Congressional education applications introduction to the characteristics of the authenticity of the rupiah using augmented reality technology by applying techniques of marker-based tracking. This research made RUPIAR with the Multimedia Development Life Cycle (MDLC) method. Based on the testing that has been done, the results of the alpha testing are already functionally fit. From beta testing, test results from User Acceptance of functionality Test (UAT) obtained the value of 89.68%, declared eligible for use with the interpretation "Good", which means the application is worthy of being used and can be developed.
WRITING INDONESIAN ARGUMENTATIVE TEXT: A DEVELOPMENT OF EFFECTIVE TEACHING MODULES AT SMPN 6 IN GORONTALO, INDONESIA

This study aims to (1) describe the design of the teaching module, (2) to develop the teaching module, (3) explore the quality of the teaching module, and (4) produce a practical teaching module, "Writing Argumentative Texts" for Indonesian Language Subjects to support learning at Junior High School in Gorontalo City. The research method is Research and Development (R&amp;D). Data collected by conducting a needs analysis through field observations and interviews with students and teachers of SMP Negeri 6 Gorontalo City in 2022 concerning Teaching Modules for Writing Argumentative Texts in Indonesian Language Subjects used in the learning process, difficulties experienced during carrying out the learning process and material which students have not mastered. Data were analyzed using quantitative descriptive statistics. The results showed that all aspects of the module assessment, including linguistic, visual, content feasibility, and presentation, met the applicable and valid criteria with an average of 3.77. The results of the first and second phase trials showed that the teaching modules were attractive to students. In addition, the evaluation results of the test subjects met the specified Minimum Completeness Criteria so that it could be concluded that each test subject could understand the material for writing argumentation texts. These results show that the module was effectively used in a limited trial of two small groups. Thus, the teaching module developed is valid, practical, and effective for learning Indonesian in the material of writing argumentative texts.
Using PCA and ANN in the explanation of groundwater chemism. Case of the Messaad Plateau. South Algerian Steppe Region

The objective of this work is to study the chemistry of groundwater in the messaad plateau which is located 300km south of the capital of Algiers. The results obtained showed that the waters are very strongly mineralized overall, with a predominance of calcium sulphate facies and calcium chloride facies. a high degree of mineralization in the South and South-East part of the study area near Oued Messaad. The Principal Component Analysis (PCA) has shown that the increase in mineralization is mainly due to the dissolution of evaporative mineral-rich salt-bearing formations. The hydro-chemical model based on Artificial Neuron Networks (ANN) of the multilayer perceptron (MLP) type has shown that the SO4 2-,Cl- ,Ca2+,Na+ ions are the most important factors influencing the electrical conductivity of water. These ions are the result of the dissolution of gypsum and halite continuously in the clays and marls of the Barremian formations.
Digital accessibility in the context of preference for financial services

The paper addresses the question of how digital access is related to the preference for financial services. The purpose of the research was to reveal the main types of interrelationships between digital and financial access by dividing and comparing countries with different corresponding characteristics. The research hypothesis suggested a negative correlation would exist between digital access and penetration of traditional financial services. To test this hypothesis, data from countries with advanced and developing markets were analyzed. The share of the population with Internet access was used as an indicator of digital access. To evaluate the availability of financial services, the IMF financial access index was considered. The countries were ranked by the level of digital and financial access, which allowed them to be divided into four groups according four sub-hypotheses: low financial and high digital penetration, high digital and financial penetration, low digital and high financial penetration, and low digital and financial penetration. The correlation analysis of the obtained data revealed a weak negative relationship between digital and financial access for each of the groups, and confirmed the tested hypotheses. It was concluded that digital access by itself is not a driver for expanding the availability of financial services, but it can contribute to innovative financial development through the formation of alternative financial services. This research contributes to the understanding of the ambiguous relationship between digital and financial access and, ultimately, to the criticism of the optimistic perception of digital finance, which has practical significance for financial regulation.
A Multistage Framework for Detection of Very Small Objects

Small object detection is one of the most challenging problems in computer vision. Algorithms based on state-of-the-art object detection methods such as R-CNN, SSD, FPN, and YOLO fail to detect objects of very small sizes. In this study, we propose a novel method to detect very small objects, smaller than 8×8 pixels, that appear in a complex background. The proposed method is a multistage framework consisting of an unsupervised algorithm and three separately trained supervised algorithms. The unsupervised algorithm extracts ROIs from a high-resolution image. Then the ROIs are upsampled using SRGAN, and the enhanced ROIs are detected by our two-stage cascade classifier based on two ResNet50 models. The maximum size of the images used for training the proposed framework is 32×32 pixels. The experiments are conducted using rescaled German Traffic Sign Recognition Benchmark dataset (GTSRB) and downsampled German Traffic Sign Detection Benchmark dataset (GTSDB). Unlike MS COCO and DOTA datasets, the resulting GTSDB turns out to be very challenging for any small object detection algorithm due to not only the size of objects of interest but the complex textures of the background as well. Our experimental results show that the proposed method detects small traffic signs with an average precision of 0.332 at the intersection over union of 0.3.
A Variational Model for Wrapped Phase Denoising

This paper presents a variational model for the denoising of wrapped phase images. By enforcing the required Pythagorean trigonometric identity between the real and imaginary components of the signal, this model improves the signal-to-noise ratio of the restored signal. To preserve phase map discontinuities, the model is based on total variation. The existence and uniqueness of the model’s solution are demonstrated using standard techniques. In addition, the convergence of a rapid fixed-point method to determine the numerical solution is demonstrated. Experiments on both synthetic and actual patterns validate the model’s performance.