Reviewerly/exHarmony huggingface dataset:
Integrative approach to the quality of preschool education in the development of the creative potential of preschool children

The requirements imposed by society also apply to modern preschool education. First of all, it includes the need to create optimal conditions for the education of a dynamic and creative personality, which contributes to a full-fledged interaction with the environment in accordane with their age characteristics and capabilities. In the concept of preschool education and upbringing, the formation of creative and creative potential is an essential task in preschool education. In this regard, it is crucial to create an atmosphere of freedom of expression, encourage children to be proactive and independent, and approve original creative solutions, according to leading scientists such as L.S. Vygotsky, V.V. Davydov, A.V. Zaporozhets, E.I. Ignatiev, T.S. Komarova, N.P. Sakulina, I.V. Strakhov, E.I. Fleerin, the foundations of creative activity and creative potential are laid at preschool age. Therefore, preschool age is more sensitive to the formation of this personality quality. The article discusses the issues of an integrative approach to the quality of preschool education in developing children's creative potential. The essence of the integrative approach is the combination of knowledge from different fields that complement each other. According to T.S. Komarov, "integration is a deeper form of interconnection, interpenetration of different content of upbringing and education of children. It covers all types of children's activities (artistic and creative activities, various games: didactic, mobile; dramatization games, plot-role-playing; visual activity, artistic speech, music).&#x0D; Keywords:an integrative approach, preschool children, creativity, creative potential, development
STRATEGY IN IMPROVING THE QUALITY OF GRADUATES THROUGH AUTHENTIC ASSESSMENT MANAGEMENT IN SENIOR HIGH SCHOOL

This study explores how management team of SMAN 9 Malang improves the quality of graduates, especially how quality of graduates have created from some innovations of educational evaluation. Adopting the qualitative research design, the study presented in this paper ascertained the implementation of Management of Authentic Assessment in SMAN 9 Malang, integrated coordination system in authentic assessment management of education, and implications of authentic assessment management on the quality of graduates in SMAN 9 Malang. By using the innovative design of authentic assessment management program. it can make all of teachers easily to teach and evaluate their student with E-Front application, also there is an integrated coordination system in authentic assessment management of education namely ManJadda Wajada, and SMAN 9 Malang develops an online learning namely E-Fornt that connect with E-Raport as student marks data, and unforgettable these all happened because of collaboration system between ministry of education and management team of SMAN 9 Malang.
TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation

3D hand pose estimation methods have made significant progress recently. However, the estimation accuracy is often far from sufficient for specific real-world applications, and thus there is significant room for improvement. This paper proposes TriHorn-Net, a novel model that uses specific innovations to improve hand pose estimation accuracy on depth images. The first innovation is the decomposition of the 3D hand pose estimation into the estimation of 2D joint locations in the depth image space (UV), and the estimation of their corresponding depths aided by two complementary attention maps. This decomposition prevents depth estimation, which is a more difficult task, from interfering with the UV estimations at both the prediction and feature levels. The second innovation is PixDropout, which is, to the best of our knowledge, the first appearance-based data augmentation method for hand depth images. Experimental results demonstrate that the proposed model outperforms the state-of-the-art methods on three public benchmark datasets. Our implementation is available at https://github.com/mrezaei92/TriHorn-Net.
Equivalence in delegated quantum computing

Delegated quantum computing (DQC) enables limited clients to perform operations that are outside their capabilities remotely on a quantum server. Protocols for DQC are usually set up in the measurement-based quantum computation framework, as this allows for a natural separation of the different parts of the computation between the client and the server. The existing protocols achieve several desired properties, including the security of inputs, the blindness of computation and its verifiability, and have also recently been extended to the multiparty setting. Two approaches are followed in DQC that demand completely different operations on the clients' side. In one, the clients are able to prepare quantum states, in the other, the clients are able to measure them. In this work, we provide a novel stringent definition of the equivalence of protocols and show that these distinct DQC settings are, in fact, equivalent in this sense. We use the abstract cryptography framework to prove our claims and provide a novel technique that enables changing from one setting to the other. In this way, we demonstrate that both approaches can be used to perform tasks with the same properties. I.e., using our proposed techniques, we can always translate from one setting to the other. We finally use our results to propose a hybrid-client model for DQC.
Melalui Pendekatan Saintifik Model Pembelajaran Covid-19 Metode Blended Learning untuk Meningkatkan Hasil Belajar Peserta Didik Muatan Pembelajaran Bahasa Indonesia Tema Udara Bersih Bagi Kesehatan pada Kelas V SD Negeri 60 Payakumbuh Semester Ganjil Tahu

The purpose of this study is to describe the use of the Covid-19 learning model with the blended learning method to improve student learning outcomes in Indonesian language learning content in class V at SDN 60 Payakumbuh. This type of research is Classroom Action Research. The research was carried out based on classroom action research steps with two cycles starting from the planning, implementation, observation and reflection stages. Research data in the form of test results, learning observations, field notes, and documentation of each learning improvement action. The source of research data is the process of learning activities. Data were obtained from the research subjects, namely teachers and students of class V, totaling 17 people, which was held from July to July. October 2021. The results of the research data analysis show that the use of the Covid-19 blended learning method can optimize student learning outcomes. This is evident from the increase in student learning outcomes in terms of knowledge and skills. The learning outcomes of the knowledge aspect have increased from 65.88 in the pre-cycle activities to 69.41 in the first cycle, increasing to 88.82 in the second cycle with an increase of 22.94. The learning outcomes of the skills aspect obtained an average of 67.64 in the pre-cycle, increasing to 81.76 in the first cycle and increasing again to 97.64 in the second cycle with an increase of 30.00. Based on the results of this study, the conclusions from research using the COVID-19 learning model in Indonesian language learning content need to be applied and developed in order improve the quality of education.
A Research Paper on INTERNET INDIA

This paper reports about the ‘Internet in India’, trends of the growth of Internet in India. This research paper has done an analysis of evolution of Internet in India. Internet emphasises the gap among social groups and regions. Internet in India began in 1986 and was available only to the educational and research community. General public access to the internet began on 15 August 1995, and as of 2020 there are 718.74 million active internet users that comprise 54.29% of the population. India is still lacking internet in few parts. Our analysis also finds the correlation with the evolution of internet in India. In this research paper, we have compared the early internet days in India to the present internet days, and found that the usage has drastically increased and now there is also an internet society. We have also viewed few survey reports and found that the need is required, but it is yet to be fulfilled by government. The knowledge of Internet still to be spread widely in India, so that there can be a good reach and exposure to the world. As rural subscriber rate increases, the rural internet growth also increases. Urban Internet users mostly use wireless mode to access internet.
AN IMPROVED BUTTERFLY-NET BASED DETECTION OF STONES IN KIDNEY IMAGES

Kidney stone disease is one of the major life threatening problem existing worldwide. It is important to recognize the true and exact location of kidney stone. The ultrasound images of kidney comprise speckle noise and are of low contrast which makes the identification of kidney abnormalities a challenging task. Thus, the doctors may find recognition of small stones difficult. Butterfly-net model is a low-complexity convolutional neural network with sparse cross channel connections and with pre-processing techniques for kidney stone detection. IntegratingSerious problems are well approximated with network complexity based on frequency bandwidth rather than input dimension using a butterfly-net with a fully connected neural network. The proposed Butterfly-net obviously embraces the arranged construction in the Butterfly plot as the stacked convolutional layers. In the event that the boundaries are hard-coded as that in the Butterfly plot, Butterfly-net on the whole registers the Fourier coefficients of the info signal with ensured mathematical exactness. Keywords:Butterfly-Net , Kidney Stone, Deep Learning.
A semiparametric probability distribution estimator of sample maximums

Several approaches of nonparametric inference for extreme values have been studied. This study surveys the semiparametric probability distribution estimation of sample maximums. Moriyama (2021) clarified that the parametric fitting to the generalized extreme value distribution becomes large as the tail becomes light, which means the convergence becomes slow. Moriyama (2021) proposed a nonparametric distribution estimator without the fitting of the distribution and obtained asymptotic properties. The nonparametric estimator was proved to outperform the parametrically fitting estimator for light-tailed data. Moreover, it was demonstrated that the parametric fitting estimator numerically outperformed the nonparametric one in other cases. Motivated by the study, we construct two types of semiparametric distribution estimators of sample maximums. The proposed distribution estimators are constructed by mixing the two distribution estimators presented in Moriyama (2021). The cross-validation method and the maximum-likelihood method are presented as a way of estimating the optimal mixing ratio. Simulation experiments clarify the numerical properties of the two types of semiparametric distribution estimators.
An institutional approach to embedding digital and information literacy into taught programmes

Definitions of digital literacy, fluency or capability are now commonplace. Many universities and colleges have adopted or adapted some version of one of these definitions as an aspiration for their staff and students. Sometimes the focus is on digital skills to perform professionally orientated tasks, sometimes the ambition is more broadly defined in terms of the contribution graduates make to a global, networked society. Having agreed on a definition, how can digital literacy be developed across and within our complex organizations? This chapter draws on a single institution case study where there was a strategic drive to embed digital and information literacy into all taught programmes as part of a centrally managed graduate attributes project. The evaluation of this project provides insights into how students develop digital literacies and how this progress can be tracked within the context of an institutional change project.
Phrase Based and Neural Network Translation for Text Transliteration from Arabic to Indonesia

Abstract- Transliteration is one solution to overcome the inability to read and write Arabic in Indonesia. However, this transliteration has many different versions in reality. The many differences in transliteration versions make it difficult for people to understand and pronounce the Arabic sentence. So there needs to be an approach to overcome the problem of these differences. The data mining approach can be used as an option to reduce these differences. In this study, the researcher found that automatic transliteration based on the data mining model had a reasonably good BLEU value.
Pengaruh Motivasi Siswa dan Sosial Ekonomi Orang Tua Terhadap Prestasi Belajar Siswa SDN 001 Bulang Kota Batam

The purpose of this study is to analyze the influence of student motivation on student achievement, the socio-economic influence of students' parents on student achievement, and the influence of motivation and socioeconomic of parents on student achievement of SDN 001 Bulang Batam City simultaneously. This research was conducted on 66 students. This quantitative study used a survey method with path analysis techniques. Sampling based on the Roscoe technique, using a Likert scale questionnaire that has been compiled and analyzed by six instrument validators and tested for validity and reliability. From the results of the calculation of the influence of student motivation on student achievement with a significance of 0.000 &lt;0.05, the direct effect of motivation on student achievement is 0.5%, the undirect effect is 2.1% while the overall effect is 2.6%. This means that the motivation variable has a significant effect on student achievement. The socio-economic influence of parents on student achievement with a significance of 0.000 &lt;0.05, the direct effect of socio-economy on student achievement is 31.1% and the undirect effect is 2.1% while the overall effect is 33.3%, this means that Parents' socio-economic variables significantly influence student achievement. The effect of motivation and socio-economy together on student achievement with a significance of 0.000 &lt;0.05, the direct effect of student motivation and socio-economic of parents of students together on student achievement is 31.6% and the undirect effect is 4.2% while the overall effect was 35.9%. From the results of the simultaneous calculation of the hypothesis test (Ftest), the value of Fcount = 13.766 and it is known that the value of Ftable = 3.09. Then the value of Fcount = 13.766&gt; Ftable = 3.09. This shows that there is a significant effect with a significance level of 0.000 &lt;0.05. Therefore Ho is rejected and H3 is accepted. This means that there is a significant influence between the variables of student motivation and the socio-economic of students' parents variable simultaneously on the learning achievement of elementary school students in District of Bulang , Batam City.
A Framework for the Design and Analysis of Mixed Reality Musical Instruments

In the context of immersive sonic interaction, Virtual Reality Musical Instruments have had the relative majority of attention thus far, fueled by the increasing availability of affordable technology.Recent advances in Mixed Reality (MR) experiences have provided the means for a new wave of research that goes beyond Virtual Reality.In this paper, we explore the taxonomy of Extended Reality systems, establishing our own notion of MR.From this, we propose a new classification of Virtual MusicalInstrument, known as a Mixed Reality Musical Instrument (MRMI).We define this system as an embodied interface for expressive musical performance, characterized by the relationships between the performer, the virtual, and the physical environment.After a review of existing literature concerning the evaluation of immersive musical instruments and the affordances of MR systems, we offer a new framework based on three dimensions to support the design and analysis of MRMIs.We illustrate its use with application to existing works.
The Gamification of Arts and Culture: The expanded narrative and the virtual space from digital media to COVID

The Gamification of Arts and Culture: The expanded narrative and the virtual space from digital media to COVID This paper considers how advances in technology towards the end of the twentieth century led both to new affordances in immersive experiences at the intersection of art, design, and technology (for example virtual reality), and came into their own during the COVID-19 pandemic through the creation of innovative, engaging works.The concept of an expanded narrative is presented as existing outside of the work itself, as the relationship between audience, artwork and the space in which it is presentedand by acknowledging how screen-based experiences become both accessible, affordable, and pervasive within society, this paper suggests a potential gamification of culture to bring art and entertainment to new audiences.Immersion.
Proximal Splitting Adversarial Attacks for Semantic Segmentation

Classification has been the focal point of research on adversarial attacks, but only a few works investigate methods suited to denser prediction tasks, such as semantic segmentation. The methods proposed in these works do not accurately solve the adversarial segmentation problem and, therefore, overestimate the size of the perturbations required to fool models. Here, we propose a white-box attack for these models based on a proximal splitting to produce adversarial perturbations with much smaller $\ell_\infty$ norms. Our attack can handle large numbers of constraints within a nonconvex minimization framework via an Augmented Lagrangian approach, coupled with adaptive constraint scaling and masking strategies. We demonstrate that our attack significantly outperforms previously proposed ones, as well as classification attacks that we adapted for segmentation, providing a first comprehensive benchmark for this dense task.
impact of e-Learning utilization on students’ learning achievement in Basic of English grammar course

This research aims to find out the impact of using e-Learning on students' learning achievement and discover the perspective of students on using e-Learning in basic English grammar course UIN Alauddin Makassar. The population of this research consisted of 106 students, of which 25 were taken from the English education department 1 and 2 as experimental group and 25 students from English education department 3 and 4 as controlled group. The method that was used in this research was quasi-experimental, pre-test, post-test controlled group design. The research result indicated that there was a difference between the students' post-test in the experimental group and the controlled group in basic English grammar courses. It could be seen from the t-test that the value of the t-test obtained sig. 0.01 &lt; 0.05. It meant that there were significant differences between the two groups. From the results of the data analysis of students' responses, it was found that it was positive for e-learning because of the percentage of students who scored 80%. From the results of the questionnaire, it was found that most of the students were interested, motivated and agreed to use e-learning in studying grammar. Based on the finding and discussion of the research, the researcher recommended that there was an impact on Students learning achievement and an improvement in students ability on the Basic of English Grammar Course after using e-Learning. In Addition, students are also interested, motivated, and agreed to use e-Learning in studying grammar.
BLOCKCHAIN-BASED ACCESS CONTROL SYSTEM FOR CLOUD STORAGE

In this paper, we present a model of a multi-client framework for access control to datasets put away in an untrusted cloud climate. Distributed storage like some other untrusted climate needs the capacity to get share data. Our methodology gives an entrance command over the information put away in the cloud the supplier investment. The fundamental device of the access control instrument is a ciphertext-strategy trait-based encryption plot with dynamic credits. Utilizing a blockchain-based decentralized record, our framework gives a permanent log of all significant security occasions, for example, key age, access strategy task, change or repudiation, and access demand. We propose a bunch of cryptographic conventions guaranteeing the security of cryptographic tasks requiring mystery or private keys. Just ciphertexts of hash codes are moved through the blockchain record. The model of our framework is executed utilizing shrewd agreements and tried on the Ethereum blockchain stage. Keywords- cloud storage; attribute-based access control; ciphertext-policy attribute-based encryption; blockchain
Reflexions upon Feedback

Feedback is a technique that has been used in musical performance since the advent of electricity.From the early cybernetic explorations of Bebe and Louis Barron, through the screaming sound of Hendrix's guitar, to the systems design of David Tudor or Nic Collins, we find the origins of feedback in music being technologically and aesthetically diverse.Through interviews with participants in a recent Feedback Musicianship Network symposium, this paper seeks to investigate the contemporary use of this technique and explore how key protagonists discuss the nature of their practice.We see common concepts emerging in these conversations: agency, complexity, coupling, play, design and post-humanism.The paper presents a terminological and ideological framework as manifested at this point in time, and makes a theoretical contribution to the understanding of the rationale and potential of this technological and compositional approach.
SciTweets -- A Dataset and Annotation Framework for Detecting Scientific Online Discourse

Scientific topics, claims and resources are increasingly debated as part of online discourse, where prominent examples include discourse related to COVID-19 or climate change. This has led to both significant societal impact and increased interest in scientific online discourse from various disciplines. For instance, communication studies aim at a deeper understanding of biases, quality or spreading pattern of scientific information whereas computational methods have been proposed to extract, classify or verify scientific claims using NLP and IR techniques. However, research across disciplines currently suffers from both a lack of robust definitions of the various forms of science-relatedness as well as appropriate ground truth data for distinguishing them. In this work, we contribute (a) an annotation framework and corresponding definitions for different forms of scientific relatedness of online discourse in Tweets, (b) an expert-annotated dataset of 1261 tweets obtained through our labeling framework reaching an average Fleiss Kappa $\kappa$ of 0.63, (c) a multi-label classifier trained on our data able to detect science-relatedness with 89% F1 and also able to detect distinct forms of scientific knowledge (claims, references). With this work we aim to lay the foundation for developing and evaluating robust methods for analysing science as part of large-scale online discourse.
In search of ethical pandemic technology

The duration of the pandemic over the last two years has witnessed the steering of multiple technological interventions by governments. These interventions - ranging from contact tracing applications to vaccine certificates - have been developed in the specific context of the pandemic, and were meant to address its unique requirements. This family of technological interventions may be termed "pandemic technology" - having diverse uses such as preventing the transmission of Covid-19, and aiding the relaxation of pandemic-induced restrictions. We propose a four-rung ethical paradigm for the deployment of such technology. We call it the STEP model and its four pillars consist of (i) sunset clauses, (ii) trust, (iii) equity, and (iv) privacy preservation.