Reviewerly/exHarmony huggingface dataset:
M-Learning in Mathematical Education

The article deals with the use of mobile devices in teaching mathematics. The analysis and effects of the integration of mobile technologies in the educational process are given. It is shown that mobile technologies can be successfully used to enhance the interaction between teachers and students and increase the flexibility of the learning process. Different aspects of mobile technology usage in modern higher education are discussed. The main preferences for the use of mobile devices by students and teachers in learning are analyzed.
Pengembangan Instrumen Tes untuk Mengukur Kemampuan Numerasi Siswa Kelas V Sekolah Dasar

The purpose of writing this article is to develop a numeration-based test instrument that is tested for validity, reliability, and the level of difficulty and discriminating power of questions to determine students' numeracy abilities. The subjects of the research trial were fifth grade students of SD Negeri 02 Jolotigo, Talun District, Pekalongan Regency. The validity test was carried out with content validity, criteria, and expert validation. Reliability test is done by looking for the price of the reliability coefficient r. The characteristic test is carried out by determining the level of difficulty and distinguishing power. The results of the reliability test obtained are the value of r in the 0.869 test. The results of the validity test showed that the instrument was declared to meet content validity, criteria, and expert validation with valid criteria. The characteristics of the evaluation instrument developed indicate that the instrument has a proportion of difficulty levels, namely 10% easy questions, 80% moderate questions, and 10% difficult questions. The results of the discriminatory analysis were then combined with the level of difficulty and obtained 10 items of good quality that could be used.
The Evolution Of Children's Creativity In The Age Of The Millennium

This paper will examine the evolution of children's creativity in the new millennium. The world of children is full of surprises, and the world of play is abundant with the sparks of a child's imagination in expressions that are so genuine, spontaneous, and astonishing. Children's imagination develops concurrently with their cognitive and linguistic abilities. And serve as a method for children to comprehend the reality of their existence and their surroundings. This study employs a descriptive qualitative methodology, which, in addition to utilizing available literature, makes observations on the research object. Creativity is the capacity to conceive of things in novel and uncommon ways and to generate original solutions to children's issues. Children who are creative are insatiably inquisitive, have many interests, and are enthusiastic about their hobbies and activities. The answer to a child's curiosity is creativity. Today's children have an abundance of potential due to their creativity.
Penerapan Media Ular Tangga Berbantuan Kartu Angka untuk Meningkatkan Keaktifan dan Hasil Belajar Siswa pada Mata Pelajaran Matematika Kelas II

This study focuses on the use of snakes and ladders media with the help of number cards in learning mathematics for addition and subtraction. This study aims to improve activity and learning outcomes in the addition and subtraction material for Class II Girijoyo State Elementary School. The research method uses classroom action research (CAR). The subjects of this study were the 10th grade students of the Girijoyo State Elementary School. The results of the pre-cycle research showed that the percentage was 66.5%, the first cycle increased to 76.5%, and the second cycle increased to 84%. This can be interpreted, that through the observation of the activeness of the second grade students, the success indicator has reached 90% and is categorized as active. In addition to the results of observations, the tests that have been carried out have also increased, from the percentage in the pretest 30% of students who completed the KKM, in the posttest 1 in the first cycle, the percentage increased to 50% of the students who completed the KKM. In posttest 2 in cycle II the percentage of students' completeness rose to 90%. Thus the achievement of the resulting competence with a percentage of 90% of students categorized as complete, exceeding the indicator of success with the achievement of class competence reaching more than 75%.
Footnotes to “Re: The Future of Information Architecture”

The article “Re: The Future of Information Architecture” was first published on September 24 2019 (Hobbs 2019). Although written in relation to the dissolution of the Information Architecture Institute (IAI), its content presented a reflection on the field at that time with an eye to the future. The present article serves three purposes: preservation and historic record of the original text; documentation of concerns facing the field at that time, with regards to its institutional status; and as a commentary and further conceptual elaboration roughly two years post the dissolution of the IAI
Design Notes: On the Information Architecture of Music

The article frames music through the lens of information architecture in order to infer a few considerations on information architecture through the lens of music, and is a thoroughly revised and expanded version of the author’s opening keynote at World Information Architecture Day in Verona, Italy, February 18 2017
Presence, Thing-ness, and World-hood

The publication of the Spring 2021 issue marks the beginning of a new cycle in the life of the Journal of Information Architecture, one that brings with it a few long-awaited changes, the most immediate of which is a refactoring of the platform running the Journal itself
Emergence, Growth and Role of Think Tanks in Nepal

The term think tank defines the independent institute engaging in research, policy advocacy, advisor of policy maker, informing and sensitizing the public debate related to policy issues. This article is an attempt to analyze the emergence, growth and role of think tanks in Nepal. It looks at the background, evolution and role of think tanks from history and present, to understand the broad pattern of political and social development process that conditions their role in this context. This paper also examines the gap between knowledge-power interfaces and suggest to site reflecting the knowledge-power nexus borne out of the complex interplay between endogenous and exogenous political process. It discusses the issues based on data and information gathered through the secondary sources of information which have been used to sharpen the conceptual issues related to this study.
A natural language processing framework for analyzing public transportation user satisfaction: a case study

Public transportation services make an important contribution to the nation's economy. However, the public transportation system was significantly impacted both during and after the Covid-19 outbreak. To minimize these impacts, it is important to know the users' sentiment and improve the service quality accordingly to change the users' attitude towards public transportation systems. Natural language processing is used to make meaningful inferences about user sentiment using various analysis techniques. Historically, surveys have also been used for years to learn users' opinions about transportation services. In this study, this traditional method was used to determine the satisfaction of public transportation users. The categorization model employed in the system developed as part of this work is based on algorithms such as Long Short-Term Memory (LSTM), Random Forest (RF), and Multi Logistic Regression (MLR). The dataset contains information gathered from the online survey. Of the models created utilizing the training dataset, it was discovered that the LSTM model offered the highest accuracy. Users' comments can help improve public transportation operators' operations, improve service quality, and monitor actions accordingly. Therefore, in this study, users' emotions were classified as positive, negative, or neutral based on the comments.
Multi-Criterion Sampling Matting Algorithm via Gaussian Process

Natural image matting is an essential technique for image processing that enables various applications, such as image synthesis, video editing, and target tracking. However, the existing image matting methods may fail to produce satisfactory results when computing resources are limited. Sampling-based methods can reduce the dimensionality of the decision space and, therefore, reduce computational resources by employing different sampling strategies. While these approaches reduce computational consumption, they may miss an optimal pixel pair when the number of available high-quality pixel pairs is limited. To address this shortcoming, we propose a novel multi-criterion sampling strategy that avoids missing high-quality pixel pairs by incorporating multi-range pixel pair sampling and a high-quality sample selection method. This strategy is employed to develop a multi-criterion matting algorithm via Gaussian process, which searches for the optimal pixel pair by using the Gaussian process fitting model instead of solving the original pixel pair objective function. The experimental results demonstrate that our proposed algorithm outperformed other methods, even with 1% computing resources, and achieved alpha matte results comparable to those yielded by the state-of-the-art optimization algorithms.
Retracted: Health Information Prediction System of Infant Sports Based on Deep Learning Network

[This retracts the article DOI: 10.1155/2022/4438251.].
Retracted: Action Recognition Model in Choral Conducting Teaching in Colleges and Universities under New Media Environment

[This retracts the article DOI: 10.1155/2022/9330699.].
User Experience Evaluation of Botani Mobile Application using User Experience Questionnaire

Agriculture is an important sector in Indonesia. Farming are how most people make a living within the population [1]. Currently, access to consult with agricultural experts is something that farmers don't have as a privilege. The combination of technology and agriculture needs to be developed to make it easier for farmers to consult. Botani Mobile Apps is an Android-based application that has been developed by the Faculty of Agriculture UB. The purpose of this application is to facilitate farmers in agricultural cultivation. User experience is how a person feels when using a product, system, or service [2]. User experience evaluation needs to be done to measure the success of a product design and to get user feedback for further improvement. One method of evaluating user experience is UEQ (User Experience Questionnaire). Evaluation of user experience of the Botanical mobile application using UEQ will be discussed in this study. Based on the results of the UEQ that have been carried out, the 26 questions asked had an average value of more than 1. After grouping the questions on the 6 UEQ Scale, the average results of calculation showed that all scales are in the green area. Based on UEQ characteristics, the highest scores were Attractiveness, Pragmatic and Hedonic qualities, respectively. All the results of the characteristic values were more than 1. Based on the Benchmark calculation, showed that the Attractiveness, Efficiency, Dependability and Novelty scales had good scale results and the Perspicuity and Novelty scales got above average scale results. Based on all the results of the UEQ evaluation, it can be concluded that the user experience on the BOTANI application is good.
Sleep Quality, Daytime Sleepiness, and Risk for Generalized Anxiety Disorder in a Public University in the Western Amazon during the COVID-19 Pandemic

© 2023. Brazilian Sleep Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
An Improved A* Algorithm for Four-way Shuttle Vehicle Path Planning

The goal of the traditional A* algorithm is to search for the shortest moving path, without considering the steering cost. Furthermore, collisions may occur during the operation of the four-way shuttle. In order to solve the described problem, an improved A* algorithm is proposed. The algorithm introduces a steering penalty factor to encourage the four-way shuttle to choose a path with fewer turns, and at the same time, a collision risk factor is introduced to avoid vehicle collisions. To verify the efficiency of the improved A* algorithm, compare the generation value of improved A* algorithm with that of traditional A* algorithm by randomly generating 5 sets of tasks with initial and ending positions, and by counting the completion time of all tasks, the efficiency of two algorithm under congestion, 5,10,15 vehicles is compared. Experimental simulation proves that the total generation value of the route is reduced and when the number of vehicles is increased, the completion time of improved A* algorithm is less.
Image Classification Based on Quantum Machine Learning

Nowadays, using machine learning for image classification is very common. However, due to the increasing demand for data processing and fast computing, the idea of enhancing machine learning with quantum computing has been proposed, known as quantum machine learning (QML). Quantum machine learning has the advantages of higher efficiency and accuracy. Quantum computing uses quantum bits (qubits) for data storage and computing, where a qubit can represent quantum states |0〉and |1〉simultaneously, enabling the processing of information for two states simultaneously, which is unparalleled in classical computing. Moreover, quantum machine learning can handle more complex data and process data faster. In classical machine learning, the processing of large-scale data and complex problems often faces problems of high computational complexity and low algorithm efficiency. Quantum computing can handle multiple computing tasks simultaneously, achieving faster computing. Therefore, in some scenarios that require efficient computing, quantum machine learning may be the best choice. In this study, we simulated quantum circuits using Qiskit and built a hybrid quantum-classical neural network model using VQNet to classify MNIST handwritten digits and CIFAR-10 datasets. The experiments showed that quantum machine learning has the advantages of efficiency, accuracy, and security over classical machine learning, which may be an improvement over classical machine learning. This research proposes a machine learning algorithm based on quantum computing, which promotes the development of quantum computing and quantum technology. At the same time, it provides a new solution and idea for image classification, enabling people to pursue faster and more accurate quantum machine learning instead of being limited to classical machine learning. <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup>
Addressing blockchain privacy and efficiency challenges in mobile environments: an optimization strategy for lightweight clients and full nodes

In this paper, we propose an optimization strategy for privacy and efficiency challenges of blockchains in mobile environments. We propose a system model and define the corresponding threat model for the transaction query privacy problem of lightweight clients. Based on this, we design a transaction query scheme that effectively protects the privacy of lightweight clients. This scheme successfully achieves the security, privacy and completeness of transaction queries through an optimized blockchain restructuring process and privacy protection measures. Simulation experimental results show that our scheme significantly improves the privacy protection of transaction queries for lightweight clients while maintaining efficient query performance. In addition, we propose an optimization scheme for the lightweight full-node block verification efficiency problem. This scheme optimizes the verification process and introduces parallel computation, thus significantly improving the block verification efficiency. The experimental results show that our scheme achieves about 50% improvement in verification efficiency, both in terms of network size and transaction correlation. The research results in this paper not only provide a new perspective on privacy protection and efficiency improvement of blockchain technology, but also open up new applications in the mobile environment possibilities.
Retracted: A Multimodal Model for College English Teaching Using Text and Image Feature Extraction

[This retracts the article DOI: 10.1155/2022/3601545.].
Retracted: Effective Image Processing and Segmentation-Based Machine Learning Techniques for Diagnosis of Breast Cancer

[This retracts the article DOI: 10.1155/2022/6841334.].
Quantifying the Effects of Operational Technology or Industrial Control System based Cybersecurity Controls via CVSS Scoring

This paper has examined the application of the Common Vulnerability Scoring System applied to operational technology or industrial control system-based cybersecurity controls and demonstrated that the unique considerations and aspects of these environments are more accurately captured when compared against a traditional IT based evaluation. Multiple business drivers are compelling consumer goods manufacturers to augment and connect their manufacturing systems bringing with it increases in potential for experiencing a cybersecurity incident [1]. While other business verticals are able to utilize cybersecurity standards and control documents tailored for their industry, manufacturers do not have a set of materials that directly correlate to the operational technology environments in which their systems reside [2]. Cybersecurity practitioners face additional challenges in developing an understanding of the severity of the risks within these environments due to the lack of current quantifiable methods of evaluating the risks. The findings from this research provide cybersecurity practitioners with a repeatable and extensible method to derive the operational risk present to an organization due to the technologies and business strategies employed in the pursuit of business objectives.
Transmission of multi-tera-bits/sec to quantum bits over space intra-and inter-orbital links

Optical transmission over space links between satellites in intra-orbital constellations or inter-orbital constellations and optical ground stations are currently attracting a lot of attention, both for their ultra-high capacities reaching multi-tera-bits/sec and for their use in quantum key distribution for coding to transmitting over public channels.This paper outlines the followings: (i) Multi-dimensional considerations to reach Tera-bits/sec that include multiplexing of polarized modes, high-order modulation formats, high speed integrated photonic complex modulations, digital signal processing techniques etc.; (ii) Continuous variable quantum key distribution (CV-QKD) achieved through constant amplitude zero auto-correlation (CAZAC) sequence for quantum level signaling with phase-coded BB84protocol, decorrelation , high order sampling rate and digital signal processing for quantum key recovery.(iii) Discussion of advantages and disadvantages of both coherent and self-coherent reception techniques for space transmission channels for multi-photons to subphoton energy reception and transmission; (iv) Presentation of initial transmission results and Terabits/s optical transmission systems; (vi) Analytical considerations of CV-QKD space self-homodyne and homodyne reception system employing CAZAC and crosscorrelation decoding as a photonic-pre-processor.
A Study on Premodern History Contents for High School Korean History in 2022 Revised Curriculum

This study reviewed premodern history contents for high school Korean history in the 2022 Revised Curriculum. The premodern history part takes up two out of six main topics, and the ratio of premodern history to contemporary history is 1:2. Compared to the ratio of 1:3 in the 2018 Revised Curriculum, the ratio for 2022 slightly increased. The two main topics of premodern history are thematic history and general history, focusing on political history. The thematic history explored the timely and structural characteristics and issues of each theme. Although these are considered strengths compared to the 2018 Revised Curriculum, it still lacks organic connection between the thematic histories same as the previous curriculums. The fact that only five sub-topics were assigned also needs to be improved. It does not clearly address the problems in periodization in Korean history and uses temporary and expedient periodization, and this should be improved, too. The previous curricula were criticized for focusing on exploring national identity as a part of national education. Still, they fail to suggest a new goal for premodern history education. It’s time to think about the meaning and value of premodern history once again. The direction for improving future curriculums should start with discussing the meaning and value of premodern history.
Implementasi Kebijakan Penanggulangan Bencana dan Mitigasi Banjir di Kabupaten Gresik

The flood disaster due to high rainfall and the overflow of the Lamong River which could not accommodate the incoming water discharge resulted in waterlogging in parts of Gresik Regency, especially those that occurred in Balongpanggang, Benjeng, Cerme, Menganti, and Driyorejo Districts. district. Knowing this, the Gresik Regency Government through the BPBD has made various efforts to minimize the impact that will be caused and optimize disaster management. The purpose of this research is to find out how the function of the Gresik Regency Regional Disaster Management Agency is implemented in flood emergency response. The method used in this research is descriptive qualitative with an in-depth approach. In this research using Policy Implementation Theory according to Edward III. The data used in this study were obtained from primary data and secondary data. The results showed that according to Edward III's theory, the implementation of the functions of the Gresik Regency Disaster Management Agency in disaster emergency response had been carried out properly and was also guided by Regional Regulation Number 7 of 2012 concerning Disaster Management.
PENGEMBANGAN BIG KOMIK TEMATIK INTEGRATIF UNTUK MENINGKATKAN KREATIVITAS DAN KARAKTER GOTONG ROYONG MATERI SIFAT SIFAT CAHAYA BAGI SISWA KELAS 4

This development research aims to describe the increase in creativity and the character of cooperation in the material properties of light using the integrative thematic big comic media.Development research was carried out using the Addie model.The process of developing integrative thematic big comics to increase creativity and mutual cooperation in the material properties of light for grade 4 students is the Addie model (analyze, design, develop, implement, evaluate).Analysis of the needs of students who like comics, this is known from the results of interviews with students, namely 95% like comics, the design of integrative thematic big comics is made into 4 comics with different light properties.Each comic presents a different project task on the nature