Reviewerly/exHarmony huggingface dataset:
Citing large numbers of diverse datasets

&amp;lt;p&amp;gt;In Earth and Biological sciences, data are often preserved and publicly available in data repositories where the data are citable by DOIs and published under a Creative Commons CC-BY license. Researchers combine many datasets across disciplines, repositories, and regions to better understand processes, patterns, and drivers. Citing these many datasets is difficult as the large number does not fit into the references section of a paper but the licenses of the datasets require that credit is given to their creators.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The Data Citation Community of Practice (CoP) was formed to target such challenges in data citation and other scholarly work that will support indexing and measuring the impact. The CoP identified a container as a solution for large numbers of data citations that holds the citations and its internal format, which is referred to as a 'reliquary'. The existing dataset collection methods have been gathered and evaluated using concrete citation use cases. Requirements for the reliquary content have been identified and applied to the use cases. In this presentation, we will report on the current progress on an approach to building a reliquary.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Reliquaries are an important part of enabling cross-disciplinary analysis of large amounts of data stored in many repositories. The challenge with a reliquary will be to design a method that works across diverse repositories and domain citation practices and to enhance the indexing system to direct credit to the reliquary content and authors. The CoP is in the process of setting up a Research Data Alliance (RDA) Working Group on Complex Citations in the Earth, Space, and Environmental Sciences to broaden the discussion and to find further use cases for evaluation and interested early adopters.&amp;lt;/p&amp;gt;
An enhanced technique for digital watermarking using multilevel DWT and error correcting codes

Digital Watermarking has attracted researchers’ attention because of its useful applications and, over the past decades, great efforts have been made to develop digital watermarking techniques and algorithms. Most researches use different transform techniques to enhance the robustness and quality of extracted watermark. This paper presents an enhanced technique for digital image watermarking based on multilevel Discrete Wavelet Transform (DWT) in conjunction with the well-known RS codes over finite fields. To observe and appreciate the significance of using the error correcting codes technique for enhancing the digital watermarking performance against attacks, a series of experiments were conducted. The enhanced methodology, presented and implemented in this research, achieved a very good performance. Regarding the significance of using error correcting codes in conjunction with DWT transform digital image watermarking; it was shown that, in all cases investigated, for all the attacks considered, there was an increase in the robustness of the digital watermark, in terms of the performance measure SSIM values. In some cases, it improves, to almost 27 times, the case without using error correcting codes. Among each class of codes, for all the attacks, Reed-Solomon block codes of length n=255 over the Galois field GF(2^8) with k=135, performs better than all others.
Effect of Dialectical Constructivism on Second-Year Home Science Students‟ Performance and Attitude towards Biochemistry at Mukuba University

The purpose of the study was to determine the effect of Dialectical Constructivist learning approach on the attitude and performance of second-year Nutritional Sciences students in Introduction to Biochemistry course.The sample size of the study was 75 students, 38 were in the control group, and 37 were in the experimental group.The research subjects were purposively sampled but randomly assigned to control and experimental groups.Two research instruments were used for data collection.The first was Attitude towards Biochemistry Questionnaire and the second was a Biochemistry Performance Test.The design of the study was pre-test post-test control group quasi experimental design.The students in the experimental group were taught Biochemistry course using Dialectical constructivist learning approach, whereas students in the control group were taught using the conventional approach.To assess attitude of the students towards Biochemistry, a Biochemistry Attitude Questionnaire was used.There was enhancement of attitude towards Biochemistry in the experimental group than in the control group owing to a significant change of attitude Mean.Therefore, using Dialectical constructivism in teaching Biochemistry was found to have a positive effect on enhancing Nutritional Science students' attitude towards Biochemistry.Further, to assess the achievement of students towards Biochemistry, a Biochemistry achievement test was used.An independent samples t-test at an alpha (α) = .05was conducted to analyze the results of the pre-test and post-test scores.There was a significant difference in the scores for experimental (M=58.9189,SD=15.01551) and control (M=43.4474,SD=13.92392)groups; t (73) =4.629, p = 0.000 The magnitude of the differences in the means was large (eta squared =.227).Therefore, using Dialectical Constructivism in teaching Introduction to Biochemistry course was found to have a positive effect on enhancing students' performance in the course.
E-Learning for family medicine specialty training

Since the COVID-19 outbreak, many learning institutions across the world have adopted e-learning programs. It has enabled students to continue with school at home as per the health protocols that restrict contacts and other physical relations. This aims to investigate the factors that influence the choice to implement, use, and sustain an effective eLearning program. Some of the factors investigated were the accessibility of resources, the collaboration of the students, technology, environmental and social factors, ease of using the internet, students computing abilities and costs as factors affecting eLearning. The research method used was qualitative, using a sample of 307 and an online survey to identify and investigate the factors being investigated, and analysis was done using SEM. Using Fornell–Larcker discriminant validity and Heterotrait–Monotrait correlation matrix, the data collected from the sample were analyzed, and results were represented in tables. The results of the study were that the factors that influence the use, implementation and sustainability of e-learning program for family medicine specialty training are; accessibility of resources, a collaboration of the students, technology, environmental and social factors, ease of using the internet, students computing abilities and costs.
An Efficient Framework to Protect Medical Images

In this work, lossless compression is considered and an efficient Encryption–then-compression (ETC) scheme is proposed for medical images. A considerably good level of security is achieved by the proposed scheme where image encryption is operated in the prediction error domain. In addition, reasonably good compression of the encrypted medical images is achieved. Comparison is done between Gradient adjusted prediction (GAP) &amp; Median Edge Detector (MED) techniques and GAP is found to perform better with respect to PSNR, bit rate and entropy. The average values of PSNR, bit rate and entropy in decibels for MED predictor are 10.8313, 3.7695 and 3.8624 respectively. Similarly, for GAP predictor, the average values of PSNR, bit rate and entropy in decibels are 11.9025, 4.0279 and 4.1286 respectively.
Student's Reading Literacy: Opportunities and Characteristic for Instructional Media Development

In this digital era, it seems that printed book readers are starting to shift to digital book readers through electronic devices, new technology has brought great benefits and opportunities in terms of getting information more quickly and efficiently. This study aims to analyze students' reading ability and the characteristics of the media needed to facilitate students' reading activities. This study used a qualitative descriptive research design, with a sample of 100 high school students. The technique of collecting data is through a questionnaire with the instrument consisting of questions that refer to the indicators of PISA questions to find out what difficulties students face in doing the PISA test, the results of the questionnaire are then analyzed descriptively using percentages. The results showed that the overall level of students' reading ability was still relatively low, through the questionnaire it was also shown that students were very interested in developing a learning media, with one of the prominent characteristics of the media being interactive. Therefore, students need an innovation in the form of developing learning media that contains certain characteristics according to the times so that it can be used as a means to facilitate students in activating reading skills. reading skills and reading interest.
Hubungan Antara Kecemasan Menghadapi Ujian Dengan Hasil Belajar Mahasiswa Pendidikan Matematika

This study aims to know the relationship between anxiety in the examination with the study result of 2020 mathematics education students of Mataram University. This study is correlational research. The data is analyzed using descriptive analysis with a quantitative approach. The population in the study is 136 mathematics education students, while the sample is 53. Sampling retrieval techniques using sampling samples. Data retrieval with an anxious instrument facing the exam and archivist’s final grades for student results. The result of this study is that anxiety facing a student’s exam fall within a moderate category and students’ learning result fall into the sufficient category. Based on the result of the correlation test, a coefficient correlation value of r = -0,112 with a count of -0,799, t table of 0,271 at a significant 5 %, so -0,799 &lt; 0,271 means there is no significant relationship between the anxiety of facing a test and the study of the student academic year 2020/2021. Whereas anxiety in the face of a test contributes to resulting of 1,26%. The remaining 98,74% are determined by other factors not studied in this study.
Layang Teacher Platform in the Cyber Pedagogy Room

This article research aims to examine the readiness of learning in the digital arena for teachers and students through the application of the “Teacher Layang” platform. How are student learning activities and teacher establishment in carrying out the teaching and learning process in the cyber pedagogy space. Through the fly teacher platform, student learning outcomes are expected to be able to organize learning outcomes optimally because there are no supporting e-learning media facilities and the readiness of teachers who seem digitally stuttered so that learning orientation takes place less effectively. The floating teacher platform based on android and web becomes a simple e-learning media with the principles of learning theory and learning outcomes. This research uses a qualitative approach with a case study method. The object of research is teachers and students. Data were obtained through observation, interviews, FGD (focus group discussions) and documentation studies. The data analyzed consisted of three activity lines, namely data reduction, data presentation and conclusion drawing. The findings of this study through the floating teacher platform have shown changes in achievement, teachers can easily manage digital classes to the maximum, from communication with students, presenting material to assessment. Teacher creativity can be implemented through the platform in the cyber pedagogy space. Students who seem to have facilitated their study room well and are fun. Teachers in maturity in the cyber pedagogy space are the main requirements to be able to organize distance learning activities, so that students will respond with the management of the learning process that has been prepared by the teacher. The fly teacher platform is an adequate attribute of cyber pedagogy for teaching and learning activities effectively and optimally.
A Model-Based Approach for Common Representation and Description of Robotics Software Architectures

Unlike conventional software, robotic software suffers from a lack of methods and processes that could systematize and facilitate development. Thus, the application of software engineering techniques is at the heart of current issues in robotics. The work presented in this paper aims to facilitate the development of robotic software and to facilitate communication between experts in the field through the use of software engineering techniques and methods. It proposes RsaML (Robotic Software Architecture Modeling Language), a Domain Specific Modeling Language (DSML) dedicated to robotics, which takes into account the different categories of robotic software architectures and makes it possible to describe the latter independently from the implementation platform. The conceptual model defining the terminology and the hierarchy of concepts used for the description and representation of robotic software architectures in RsaML are presented in this article. RsaML is defined through a meta-model which represents the abstract syntax of the language. The real-time properties of robotic software architectures are identified and included in the meta-model. The use of RsaML is illustrated through several experimental scenarios of the language: the definition of a robotic system and the description of its software architecture, the verification of the semantics of a robotic software architecture, and the modeling of a robotic system whose software architecture does not belong to the usual categories. The support tool used for implementations and experimentation is Eclipse Modeling Framework (EMF). The results of experimentation showed good working of the proposed solution and made it possible to validate the main concepts of the RsaML language.
CULTURE OF INTERACTION IN DIGITAL EDUCATIONAL ENVIRONMENT: MONITORING ISSUES

N. Sigacheva , M. Sigachev , M. Mefodeva , N. Samarkina Kazan Federal University (RUSSIAN FEDERATION)
Modernization of Education During the Pandemic Conditions for Effective Education on a Distance Basis

The high demands of the new era and society's changing attitude towards a specialist determine the need to create more effective learning conditions that contribute to the most rational use of psychological, physical, and temporary resources of an individual. In this regard, in the context of modernization of education and its integration into the world educational space, the problem of professional training and advanced training of a person acquires particular relevance. The article examines the development of modern society in the conditions of globalization processes’ influence, determining the emergence of new demands for a subject in any activity field, in particular, in higher education. Furthermore, the pandemic led to enhancing the application of distance learning technologies. In the future, their implementation experience should become the basis for the development of innovative teaching methods, increasing the efficiency of the educational process, and improving information and resource support.
Quantum conference key agreement with photonic graph states

Future quantum networks will provide multi-node entanglement enabling secure quantum communication on a global scale. Traditional two-party quantum key distribution (2QKD) consumes pairwise entanglement which is costly in constrained networks. Quantum conference key agreement (QCKA) leverages multipartite entanglement within networks to directly produce identical keys among N users, providing up to N-1 rate advantage over 2QKD. In this contribution I will present work on the implementation of QCKA using photonic GHZ states distributed over telecom fibre of up to 50 km combined length. Furthermore, we implemented QCKA on a constrained network consisting of a 6-qubit photonic graph state on which we apply network coding routines to demonstrate the multi-partite advantage over the two-party paradigm.
Feature Extraction of Museum Big Data Text Information Based on the Similarity Mapping Algorithm

Under big data, a large number of features, as well as their complex data types, make traditional feature extraction and knowledge reasoning unable to adapt to new conditions. To solve these problems, this study proposes a museum big data feature extraction method based on a similarity mapping algorithm. Under the museum big data analysis, the museum big data text information is collected through web crawler technology. The web crawler is used to index the content of websites all across the Internet so that the museum websites can appear in search engine results and the collected text information is denoised and smoothed by a Gaussian filter to construct the processed text information set mapping matrix. The semantic similarity is computed according to the text word concept. Based on the calculation results, through word frequency and document probability inverse document frequency weight, the museum big data text information features are extracted. Simulation results show that the proposed method has high accuracy and short extraction time. Through the comparative analysis, it can be realized that this method not only solves the problems existing in traditional methods but also lays a foundation for the analysis of museum massive data.
DSRBT - Driving Safety Reward based on Blockchain Technology

TheThe driver safety is given an utmost importance in the Transportation system. Road safety is mostly dependent on the all driver’s on road and their behavior. Aggressive driving behavior such as speed, braking, accelerations etc are some of the major factors contributing to the safety which can jeopardize human lives if a fatality occurs. To improve the safety of drivers and other road users, we proposed a framework which ranks and re- wards the driver’s behavior for each day in crypto tokens. Existing frameworks emphasizes on analyzing or ranking the behavior, however monetizing driver’s behavior will improve the driver’s discipline. A randomized simulated traffic is used to extract the both friendly and aggressive driving patterns and provide test crypto tokens based on them.
Syntax Acquisition in Early Childhood Through Flash-Cards

Purpose – Syntax acquisition is a gradual language level and essential language ability that determine childhood academic ability. The syntax needs to be stimulated in various ways. One of them is using flash-card games. This research aims to describe syntax acquisition in childhood through flash-cards.Design/methods/approach – This research method is descriptive qualitative research with data collection techniques through observations and interviews. This research’s subject is a six-year-old child with the initials HN.Findings – HN’s syntactic acquisition through flash-card has developed according to his development and age. Language development in syntax that HN obtains includes aspects of understanding and expressing language. HN syntax acquisition is also influenced by two factors that are natural and environmental.Research implications/limitations – This research is a limited mini-research performed on 1 study subject for two months. As for the flash-cards used, there are only ten kinds of flash-cards.Practical implications – This research is expected to be helpful as a reference regarding the stimulation of early childhood syntactic abilities through flash-cards. Academics and practitioners can develop various activities other for increasing syntax ability or developing flash-cards games that are more interesting and fun to be used for learning in childhood.Originality/value – This study still has limitations in taking the data. Therefore, the researcher hopes to conduct research with no limitations for the next.&#x0D; Paper type: Research paper
Perancangan Sistem Informasi Pelayanan Penduduk Berbasis Website Pada Lingkungan Kelurahan Tanjung Ayun Sakti

Information systems such as websites have become a necessity for institutions such as villages to provide services, information to residents making it easier to socialize activities. The village uses information systems in lieu of old methods of providing information and services to the population. Tanjung Ayun Sakti Village still uses bookkeeping or archival methods so that it is prone to population data redundancies resulting in inaccuracies in the number of population data. The amount of data archived takes a long time to search for population data resulting in the process of population service becomes slow. A new system is needed that is applied in Tanjung Ayun Sakti Village as a solution to overcome obstacles in accessing information and services in Tanjung Ayun Sakti Village. The implementation of population service information systems can have a fairly good and beneficial impact on all interested parties. The development of this system uses waterfall method, from the waterfall method generated several diagrams, namely use case diagram, activity diagram and entity relationship diagram. The design of this information system aims to help the process of community service in the form of filing letters online.