Reviewerly/exHarmony huggingface dataset:
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Geostandards and Geoanalytical ResearchVolume 45, Issue 4 p. 771-771 IAG Membership InformationFree Access IAG Membership Information First published: 24 November 2021 https://doi.org/10.1111/ggr.12339AboutPDF 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume45, Issue4December 2021Pages 771-771 RelatedInformation
Threat Model for Secure Health Care Data Using EMR, EHR and Health Monitoring Devices

The main aim of this project is to propose a threat modeling framework that promotes the security of health care services. The threat model is used to analyze the cyber threats that makes the electronic health monitoring devices vulnerable to a cyber-attack. The model also helps in strengthening the security of the software-based web applications like EMR and EHR used in a health care organization. The information assets are identified and the threat agents are eliminated considering the software, web application and monitoring devices as attack surface. The major goal of this threat model is to analyze and establish the trust boundaries in the OpenEMR that render a secure data transmission. We use a STRIDE threat model and a DFD based approach using the OWASP threat modeling tool. The SIEM tools provide a continuous security methodology to document the process and result.
Web Forensic for Hate Speech Content on Twitter Services using National Institute of Standard Technology Method

Technological developments in addition to bringing many positive impacts also have negative impacts.The sophistication of various applications today allows the increase in crime cases online.These cases include gambling online, spreading hoax news, fraud, hate speech, cyberbullying, cyberporn, and other cyber cases.These crimes online are very often found in various social media applications, one of which is the Twitter application which is a social networking site that allows users to share things or events that are happening around the world.Users post tweets that can contain photos, videos, links, and text.This research conducts forensics on the Twitter application accessed via the web browser Chrome as the browser with the most users in Indonesia in 2020 according to Stat Counter.The research was conducted using case scenarios based on original cases obtained from various sources.The stages used in this research are the stages from the National Institute of Standards and Technology.These stages are collection, examination, analysis, and reporting.The process of collecting digital evidence is carried out using several forensic tools, namely Belkasoft RAM Capturer, FTK Imager, Browser History Capturer, and Browser History Viewer.This research produces digital evidence in the form of tweets previously deleted or posts that can be retrieved, along with other data.The percentage of results of the digital evidence that has been found successfully 100%.InBelkasoft RAM Capturer and FTK Imager is 50% with digital evidence of text posted, username, password, and web browser history.In Browser History Capturer and Browser History Viewer is 50%with digital evidence of image posted, web browser history, profile photo of the twitter account, and time accessed.The results of this research managed to find evidence of posts that have been deleted.
Artificial Neural Networks: Fundamentals, Design, and Applications

The objective of this chapter is to present a concise view of artificial neural networks (ANN) and to familiarize the reader with ANN-based computing. The attractiveness of artificial networks comes in view of their recent resurgence, mainly due to their extensive utilization in solving many complex real-life problems and their information processing ability pertinent to nonlinear sets of input data. A bird’s eye review about evolution in relation to the field of neurobiology is presented, followed by a brief review on various ANN based models and requisite learning rules with special emphasis on backpropagation complemented by logistic regression and gradient descent techniques. A generalized methodology on the development, design, and implementation of ANN models is described. In this study, a simple perceptron model is taken as a backbone and developed upon.
KUALITAS PELAYANAN BIDANG PENDIDIKAN DASAR DI KECAMATAN KULISUSU KABUPATEN BUTON UTARA

The purpose of this study was to determine and analyze the quality of services in the field of basic education in Kulisusu District, North Buton Regency. This study uses a descriptive qualitative approach. There were 11 research informants consisting of the Head of the Education and Culture Office, Head of the GTK Division of the Education and Culture Office, Head of SD Lamoahi, Head of SD Lelamo, Head of SDN Wa Ode Buri, 3 teaching staff and 3 Committee Chairs. The selection of informants was done purposively. Data were collected through observation, interviews and document studies. The data collected was then analyzed descriptively qualitatively.The results showed that the quality of service in the field of basic education in Kulisusu District, North Buton Regency was not optimal. This can be seen from the 10 dimensions measured, indicating that the indicators of tangible, credibility, competent, reliable and security are not yet optimal and still require serious improvement. Meanwhile, indicators of access, courtersy, competent, responsiveness, communication, and understanding of the customer have been well fulfilled
Analysis of Mobile Apps for Learning Grammar through Mobile Assisted Language Learning Approach

The objective of the current study is to evaluate the recently developed mobile apps for learning and improving English grammar. This study selected 10 grammar apps ranked 3 and above by online users with a large number of installations. The study adapted a framework proposed by Supyan Hussin (2013) with four criteria: System, Program, Curriculum, and Language &amp; Culture. Furthermore, information provided in Google Play Store App assessment in terms of App users’ Reviews, Ratings, and Downloads also was used to assess the selected grammar apps. First, the findings show that the grammar apps tend to teach grammar out of context, second, apps minimally adapt to the user’s skill sets. Third, the grammar apps rarely offer explanatory corrective feedback to the users. Fourth, some grammar apps have accuracy issue in terms content and typo. Despite pedagogical paradigm shift to communicative approaches to language learning, the assessed grammar apps are more behaviorists in nature where features of cognitivism and constructivism, and particularly connectivism approaches are rare. To better align with MALL, contextualized language, explanatory feedback, and adaptive technology need to be incorporated into these apps.
RETROSPECTIVE STUDY CORRELATION BETWEEN GRADE AND AMOUNT OF MITOSIS WITH ER, PR, AND HER2 EXPRESSION IN INVASIVE BREAST CARCINOMA OF NO SPECIAL TYPE

Background:In 2018 there were about 24.2% new cases of breast carcinoma worldwide.Molecular breast carcinoma, like expression estrogen receptor (ER), progesterone receptor (PR), and Human Epidermal Growth Factor Receptor2 (HER2) have a higher sensitivity than morphological feature, like tumour grade and mitotic count as prognostic factors.The grade of the tumor reflects how similar these cells are to normal breast epithelial cells.The dominant growth pathway in normal breasts predominantly involves ER and PR, so tumours with ER and PR positivity show lower grade and proliferation activity.In contrast, tumours with ER and PR negativity often have more severe mutation, like overexpression of HER2.Objective: To analyze the correlation between grade and mitotic count with ER, PR, and HER2 expression.Methods: Analytical observational study with a retrospective design.This study used medical record data from ER, PR, and HER2 immunohistochemical examinations as well as histopathological grade and mitotic data for invasive breast carcinoma of no special type in the Anatomical Pathology Laboratory of Dr. Soetomo Surabaya for the period January 1, 2017 -December 31, 2019.Furthermore, the analysis of the relationship between grade and mitotic count was carried out with the expression of ER, PR, and HER2.Results: There was a significant negative relationship between grade and ER with rs = -0.170(p = 0.000), the number of mitosis and ER with rs = -0.010(p = 0.001), grade and PR with rs = -0.168(p = 0.000), and the number of mitosis and PR with rs = -0.110(p = 0.000).There was no significant relationship between grade and HER2 (p = 0.470) and the number of mitosis and HER2 (p = 0.279).Conclusion: There is a negative significant relationship between grade and amount of mitosis with ER and PR expression.There is no significant relationship between grade and amount of mitosis with HER2 expression.
DRIVERS OF DIGITAL TRANSFORMATION IN APPROACHES TO MODERN TEACHING OF STUDENTS

The problem statement is connected with the paradoxical nature of modern academic reflection regarding the prospects not only for the development, but also for the survival of universities. Adherents of the alarmist approach justify the strengthening of the trend of academic capitalism, which represents a landslide increasing commercialization of all types of university activities, with a reduction in socio-humanitarian areas and the transition to an entrepreneurial post-academic university culture. Accordingly, the classical format of the university is declared to be dying, and the values of traditional academic culture are blurred and even ruined. Clarification and correction of concepts were required due to the fact, that digitalization is often considered as a process, and digital transformation is considered as the completion of the path of strategic and operational transformations that ensure competitiveness in the modern world. The authors insist that digital transformation is also procedural, so it would be more correct to designate the essence of these changes in modern higher education as an institutional purposeful transition to the latest technologies that provide opportunities for a variety of formats and personalization of the educational process. Clarification and expansion of the main drivers of digital transformation in modern higher education, in turn, indicate that the process of digital transformation, presenting intermediate results of achieving goals, will also remain open. The article presents an analysis of digital transformation in the practices of interaction between teachers and students, with an emphasis on the fact that the main goal of the teacher is his creative support, and the main goal of the student is the transition from the necessary development of modern specifics of the profession to the formation of a broader personal resource potential in the conditions of rapidly increasing changes. It is also important that digital transformation requires not only the consolidation of educational needs and skills during the life of university graduates, but also, first of all, their teachers. The authors note the discursiveness of the problem of the advantages and negatives of the digital educational environment, arguing that the understanding of modern students is focused on the need to implement early and systemic transformational changes in teaching and learning in the new digital landscape. The article concludes with updated conclusions and clarifies operational actions that contribute to achieving the goals of the transition to digital universities.
SIMULATION OF CROSS-PLATFORM OFFLINE PROGRAMMING SYSTEM FOR A MECHATRONIC ROBOT USING THE SPACE ARC INTERPOLATION ALGORITHM

The purpose is to apply the intelligent algorithm to the construction of a cross-platform offline programming system of a Mechatronics robot, and improve the efficiency of robot programming.First, the trajectory of the Mechatronics robot is planned, and the spatial arc interpolation algorithm, tool coordinate system alignment method, and fast search algorithm are introduced.Then, the cross-platform offline programming system of the Mechatronics robot is proposed.Based on the Unity3d platform, the virtual 3D (Three Dimensional) environment is constructed together with trajectory formulation, a program module, motion simulation, and auxiliary module.Finally, the proposed offline programming system is simulated through experiments.The results show that: the overall positioner angle of the robot increases unidirectionally, which is in line with the actual situation.Meanwhile, the rotation angle of the positioner has fallen in two places, causing the positioner to stop in the reverse direction, so the positioner cannot transit smoothly.The robot can operate continuously without machine jam or pause.The angle changes of different joints are quite different.The radian change of the fourth joint is small, while the radian change of the fifth and sixth joints is the largest, and the change interval is [0°, 62°].The changing trend of the angular velocity of joints 2, 3, 5, and 6 is similar, but the angular velocity of joint 4 does not change.The changing trend of the angular velocity of joint 1 is opposite to that of joints 2 and 5.The results show that the simulation experiment of the Mechatronics robot cross-platform offline programming system based on spatial arc interpolation algorithm is successful, which can provide an experimental basis for the research and development of robot cross-platform offline programming system.
Improving Reading Habits of Grade IV Students

When we have a good book to keep a company, there is nothing better in the universe.It takes us to places where we can't go, and lets us meet people we can't meet.Reading is love in action.Nourishing a love of reading in students can be an insuperable task for everyone, but with the perfect use of correct methods, we can easily turn our child into a good reader.Reading is one of the most basic skills students require to learn to be successful.It is not just an essential professional skill, but it is also a way to enjoy creative, informative, and inspiring works of literature that enrich our life experiences.Though reading is the backbone of education, many students are into using computer games and watching television most of the time.Some studies have also shown that many students spent huge amount of time before a screen and we really need to address this problem.Therefore, the purpose of this study is to find out what kind of factors and learning environment encourages or discourages students from reading books and also to explore their present reading habits.It is also aimed to help grade four students develop keen interest in reading with joy and fun through some recommended reading strategies which ultimately will boost their academic performances.
Music surface and musical structure: The role of abstraction in musical processing

Because of its temporal nature, music presents a unique challenge to the perceptual systems.To understand music one must infer underlying musical structure based on a musical surface that is constantly changing.Accordingly, a central component of musical behavior involves the abstraction of underlying musical structure from the musical surface.The following paper discusses the central importance of such abstraction, looking at examples of the role of abstraction based on a variety of underlying representational structures (tonal hierarchies, tonal-metric hierarchies, melodic patterns).These examples support the idea that musical understanding is fundamentally driven by the apprehension of structural patterns, and not by auditory surface information.
Rekonstruksi LKPD untuk meningkatkan keterlibatan dan penguasaan konsep peserta didik pada materi sistem ekskresi

This research was aimed at investigating the information about the use of the Student Worksheet (LKPD) the results of reconstruction about the involvement and mastery of students' concepts in the material of human excretion system. Reconstruction of student worksheets was done because the previous research shows analysis results the component of diagram vee in the eksperiment students worksheet is low. Whereas, the diagram Vee's rubric is usually used for developing eksperiment students worksheet. This research is a descriptive research. The subject of the research are 28 students of grade XI IPA in senior high school Bandung. The instrument that used is the rubric of component of diagram Vee's existence, observation worksheet in students engagement and test of mastering concept that consist is multiple choice. The result of the research shows : (1) students engagement in the class is about 79,17%; (2) students' mastery of concepts based on categories is good, 96.43% of students achieve maximum completeness criteria (KKM), and an average N-gain of 0.72. This showed the influence of use reconstruction of student worksheets on the student engagement and mastery of student concepts.
The Effectiveness of Listen-Read-Discuss and Contextual Redefinition Strategies in Teaching Reading Comprehension to EFL Learners with Different Levels of Motivation

This study aims to analyze how effective the listen-read-discuss (LRD) strategy and contextual redefinition (CR) strategy in teaching reading comprehension to EFL learners with different motivation levels. This paper explained the result of experimental research on reading comprehension skills to students with high and low motivations at SMP Islam Nudia Semarang. This study used a 2x2 factorial design in the experimental study. It was used to collect the data from 40 students divided into two groups; they were experimental group 1 and experimental group 2. They were treated with different strategies: LRD and CR strategies. Test and questionnaire were used to collect the data in this study. The data was analyzed using ANOVA to prove the hypotheses. The result showed a significant difference between LRD and CR strategies to teach reading comprehension to students with high and low motivations. The Contextual Redefinition (CR) strategy effectively teaches reading comprehension to high and low motivation levels than the Listen-Read-Discuss (LRD) strategy. Based on ANOVA analysis, there were no interaction among the LRD and CR strategies, students' motivation, and teaching reading comprehension.
Correction

This article refers to:How Real Is Too Real? User-Testing the Effects of Realism as a Risk Communication Strategy in Sea Level Rise Visualizations
Copyright and Patent Protection of Cloud Storage Software in the BRICS Member States

In the BRICS Member States, serious attention is paid to Information Technology development in terms of both technology and law. These countries are at the forefront in the development of the digital economy and digital innovations. Cloud storage software is an important element in this sector and is intensively applied in civil law transactions. The processes of approval, storage and sorting of documents are being automated on the basis of the relevant computer programs. This helps companies and government agencies to systemize their operations. At present, the most pressing issues are those related to copyright and copyright holders of computer programs since software code may be copied, even illegally or unconscientiously, and used as the basis for another software product. Cloud storage software is copyright-protected, but, depending on the scope of its use, additional patent protection may be required. Given the rapid development of the IT sector, a software product may be one of the components in an invention subject to patenting. The article focuses on the relationship between copyright and patent protection of software and offers a comparison of the approaches taken by the BRICS countries. Approaches taken by Germany as a European Union Member State and the United States of America are shown in the all-out comparison. The article also analyzes the views of academics on the relationship between copyright and patent protection of software.
Relation extraction in structured and unstructured data: a comparative investigation on smartphone titles in the e-commerce domain

As large amounts of unstructured data are generated on a regular basis, expressing or storing knowledge in a way that is useful remains a challenge. In this context, Relation Extraction (RE) is the task of automatically identifying relationships in unstructured textual data. Thus, we investigated the relation extraction on unstructured e-commerce data from the smartphone domain, using a BERT model fine-tuned for this task. We conducted two experiments to acknowledge how much relational information it is possible to extract from product sheets (structured data) and product titles (unstructured data), and a third experiment to compare both. Analysis shows that extracting relations within a title can retrieve correct relations that are not evident on the related sheet.
UPAYA MENINGKATKAN HASIL BELAJAR SISWA KELAS I SD NEGERI 43 LUBUKLINGGAU PADA MATERI BANGUN DATAR DENGAN PEMBELAJARAN DARING

This study aims to determine the increase in the learning outcomes of first grade students at SD Negeri 43 Lubuklinggau on the flat-shaped material with online learning. This research is a classroom action research (CAR) referring to the Kemmis and Mc. Taggart which includes action planning, action implementation and observation, and reflection. Based on the results of the implementation of classroom action research that has been carried out 1) Online learning can improve student learning outcomes about Bangun Datar, this increase can be seen from student learning outcomes in pre-cycle 4 students complete (21.05%) increasing in cycle 1 to 11 students complete ( 57.89%) and in cycle 2 managed to increase to 17 students completed (89.47%). 2) Online learning can also increase student activity and involvement in the learning process. This can be seen from the active involvement of students in the pre-cycle only 4 active students (21.05%), increased in cycle 1 to 11 students (57.89%) active and in cycle 2 managed to increase to 17 students (89.47%) active.