Reviewerly/exHarmony huggingface dataset:
PENGARUH PENYULUHAN MAKANAN BERGIZI DENGAN METODE ULAR TANGGA TERHADAP PENINGKATAN PENGETAHUAN ANAK-ANAK

Background : Health issues in Indonesia are still on the top topic. One of them is malnutrition and obesity which cause Indonesia encounters “double burden of malnutrition”. Sharing knowledge to children is a good starting point to fix the issue. This can increase children’s knowledge and brings Indonesia to escalate the quality of human resources in the future. Objective : The purpose of this research is to know the effectivity of socialization hold by ladder game method to the elevation of children’s knowledge into nutritious foods. Method : This has been done by three main steps; pre-test session, intervention, and post-test session. During pre-test and post-test, students were given several questions then the answers were analyzed using SPSS. Results : The results were analyzed statistically to highlight the description results which depicted that there is an influence of ladder game method during socialization to the increase of children’s knowledge. After giving a post-test, it showed a better result compared to pre-test. During pretest mean was 11.9 while at the post-test it reached approximately 15. Conclusion : It can be said that after the intervention by the ladder game method, the children’s insight is much more increasing even though it had no significancy
Per una storia linguistico-editoriale di Lotte civili di Edmondo De Amicis

This study aims to retrace the linguistic and editorial history of Edmondo De Amicis’ Lotte civili, starting from the first edition by Nerbini (1899) until the definitive edition by Treves (1910). In particular, this study aims to sketch the physiognomy of each edition, deepening the changes that characterize the text.
Recreating the Past Methodology to Design a Better Society for the Future

With the omnipresence of design, our future is a visualization of further convergence of the world with technology as its nucleus. Professionals across all disciplines have been envisioning a future dependent on technology, where artificial intelligence, Internet of things (IoT), and big data form a multifaceted design universe. However, this paper challenges the notion of the future design methodology relying heavily on technological advancements and proposes the question of how design can borrow from the past and harness the power of reflective nostalgia to build a better society in future. The research discusses how design creativity and synthesis, driven by societal necessity in the past and customized user-centric exclusivity in the present, will rely on empathy, reassurance and security on a social level once again, in future. The research methodology and study conducted have been summarized to highlight how any product we have designed, became a part of an environment larger than us, taking up an intangible behavioral form, which came back to redesign us. Thus, reflecting on this past methodology and taking the traditional wisdom forward is paramount. The directions for further research have also been discussed.
A Paper on Cloud ComputingManagement

The continuous growth in computer power provided an unprecedented flow of information during the last two decades. In fact, the new web technologies advances have made delivering and accessing content of any type easy and convenient for any user. It involved a paradigm shift in the computer architecture and processes of large scale data processing. Cloud computing is related to a new software technology distribution model. To order to reduce costs associated with hardware and computer resource management, this strategy moves the position of this system into a network. The task of developing reliable, accessible and flexible data management systems able to serve petabytes of information to millions of users was met both by the data management community and by large Internet firms. Current proposed data management systems, mainly driven by the prevailing software criteria, restrict the consistent access to only the granularity of individual objects, lines or keys, while sacrificing accuracy for high scalability and usability.
Testing the results of the training aimed at future preschool educators by means of the Microsoft Teams program in distance and mixed forms of teaching / learning

The article considers the specifics of teaching the discipline "Methods of Acquainting Children with Ukrainian Ethnography in Establishments of Preschool Education" in terms of distant and blended learning. The educational and methodological complex of the course is elaborated in accordance with the syllabi; program learning outcomes; a list of general and profession-related competences that are expected to be formed while studying the discipline; lectures, seminars, practical, laboratory classes; tasks for independent work; individual educational research tasks; evaluation criteria for different types of work for all types of control, etc. At the initial stage of teaching the discipline, a special seminar was held for students – future educators on the topic "Organisation of distance learning using Microsoft Teams software». During a specialised seminar, the future educators were acquainted with: the features of the online content of Microsoft Teams; registration procedure on the platform; obtaining an access password and e-mail address to participate in the work of virtual classes and commands; organisation of the educational process, remote dialogic communication using Microsoft Teams resources; creation of a library of learning materials (lecture notes, video lectures, presentations on the content of lectures, assignments for seminars, practical classes, etc.); possibilities of placing practical materials (tasks for practical classes, independent work, individual educational research tasks, etc.) with the help of OneDrive. The specialised seminar helped to increase the level of digital, information-related, information-digital competence of future educators of preschool educational institutions, which was a prerequisite for success in mastering profession-related disciplines. The article provides instructions for organising practical classes and lectures on the course "Methods of Acquainting Children with Ukrainian Ethnography in Establishments of Preschool Education", prescribes the procedure for testing (current (modular) and final testing). The testing of the programme outcomes using Microsoft Teams and Office 365 software allowed us to optimise the teaching of the course within blended and distance learning.
Geological Characteristics and Regional Prospecting Model of Wulanchongji Gold Orebody, Alxa Youqi, Inner Mongolia, China

Five gold deposits (mineralization) were found in the study area by means of geological mapping, soil geochemical survey and trough exploration engineering.The ore-bearing lithology is mainly metamorphic feldspar sandstone of the Upper Carboniferous Benbatu Formation, and the gold (mineralization) body is controlled by both structural factors and stratigraphic factors of the Upper Carboniferous Benbatu Formation.The genetic type is preliminary concluded to be volcanic hydrothermal type, and the metallogenic age is late Variscan.In this paper, by studying the geological characteristics and metallogenic geological conditions of the gold orebody in the area, a regional prospecting model has been established, which is of great significance to better guide the prospecting work of similar gold deposits in the area and the region.
Enhancing Multi-Layer Perception for Breast Cancer Prediction

Breast cancer (BC) is a standout disease of the most well-known cancers among women around the world. The analysis and prediction of BC leads to early manage the disease and protect the patients from further medical complications. In the light of its noticeable focal points in basic highlights identification from complex BC datasets, Machine Learning (ML) is generally perceived as the technique of decision in BC design order and gauge displaying. Because of the high performance of the Multi-layer Perceptron (MLP) algorithm as one of the ML techniques, we conducted experiments in order to enhance the accuracy rate of MLP by tuning its hyper-parameters along with studying the effect of feature selection methods and feature reduction of MLP. As feature selection results indicated that an increase in the number of input parameters tends to reduce the error associated with the estimator model. The tuned MLP proposed in this paper, based MLP best fit hyper-parameters along with feature selection is applied for breast cancer classification using Wisconsin Diagnostic Breast Cancer (WDBC) dataset. As the tuned MLP experimental result shows an accuracy reached 97.70% as it outperforms the basic MLP.
On Misspecification in Prediction Problems and Robustness via Improper Learning

We study probabilistic prediction games when the underlying model is misspecified, investigating the consequences of predicting using an incorrect parametric model. We show that for a broad class of loss functions and parametric families of distributions, the regret of playing a proper predictor -- one from the putative model class -- relative to the best predictor in the same model class has lower bound scaling at least as $\sqrt{\gamma n}$, where $\gamma$ is a measure of the model misspecification to the true distribution in terms of total variation distance. In contrast, using an aggregation-based (improper) learner, one can obtain regret $d \log n$ for any underlying generating distribution, where $d$ is the dimension of the parameter; we exhibit instances in which this is unimprovable even over the family of all learners that may play distributions in the convex hull of the parametric family. These results suggest that simple strategies for aggregating multiple learners together should be more robust, and several experiments conform to this hypothesis.
4.9 ResearchGate and the Academic Social Network Sites: New Environments for New Bibliometrics?

The objective of this work is to identify the main features of ResearchGate as an academic social network and its potential for research evaluation. To do this, first the birth of academic social networks in general, and ResearchGate in particular, are described. Next, a literature review about ResearchGate is carried out, showing the main topics covered by literature. Then, the general features of ResearchGate are identified and categorized, as well as all the metrics and indicators provided, broken down by entity. Finally, the main limitations and shortcomings of Research- Gate to be used as a bibliometric tool are synthetized. As a conclusion, our findings show potential of ResearchGate as a database (great coverage of documents, growing number of active users, and a wide variety of metrics). Nevertheless, it cannot be currently used for research evaluation due to several shortcomings (irreproducible indicators or lack of professional search/export features). These limitations are mainly derived from the ResearchGate business model, which is intended to be employed as a tool to enhance worldwide connectedness among researchers on the one hand and as a marketing tool to disseminate research-related ads and events on the other.
Pelatihan dan Pendampingan Manajemen Perpustakaan Sekolah Berbasis Teknologi Informasi

Complex issues in school libraries are very diverse, from human resources, budget funds, book procurement, the technology system used is something that deserves attention, because the purpose of the school library is as a learning center, and information, as a learning resource center means that the school must try and clean up to present the latest collections, informative and according to the needs of the school. The school library has a very important role in the success of education. Therefore, school library facilities need attention. One of the facilities that help librarian activities is information technology-based library management. With library management, all library activities can run according to good library standards. Also, students can more easily and freely take advantage of the library collections in it. Information technology-based library management is activities that aim to assist library managers, the school, in creating libraries that comply with the standards set by the National Library. The activities carried out include (a) Providing information about how to manage library services, especially the Tsanawiyah library in Probolinggo Regency. (b) Providing knowledge on the procedures for managing the library at the Information Technology-based Tsanawiyah Library 2. (c) Instilling skills in Tsanawiyah library managers while studying. MTsN 2 Malang is under the auspices of the Ministry of Religion, course it must also have a good library, well managed, and course there is a role for the teaching staff in the library department to make the library the heart of information and the heart of education.
INITIATION RESPONSE FEEDBACK (IRF) TECHNIQUE IN CLASSROOM INTERACTION FOR SEVENTH GRADE STUDENTS AT SMP AL-AMJAD MEDAN

This study aims to analyze the types of IRF (Initiation-Response-Feedback) technique that used by the teacher and students in classroom interaction based on Sinclair and Coulthard Technique for seventh grade students at SMP Al-Amjad Medan. The data were collected for two meetings/weeks 2x40 minutes. There were 32 students for seven grade that had research and collected data through observation, audio, and video recording, transcription and interview. This study found that there were four structures of IRF technique in categories teacher those were ; to inform (21.98%), to direct (9.92%), to elicit (29.78%), to check (4.96%), and there were two structures of IRF technique in categories students, those were; to inform (7.09%), to elicit (26,24%). And the most dominant structure of IRF were teacher elicit (IR) (29,78%) and student elicit  (IR) (26,24). The most dominant structure of IRF is teacher elicit (IRF) that produced by the teacher who is expected to create classroom interaction. The reason of the most dominant structured occurred in classroom interaction because the teacher always stimulated the students by questioning and ordering. This study is expected to be an inspiration for other researchers to conduct more conductive research in the future about Initiation Response Feedback (IRF) technique in classroom interaction.  Keywords: Initiation Response Feedback (IRF), Classroom Interaction, Speaking.
PHOTOVOLTAIC SOLAR MODULATION ON MATLAB

Solar brilliant energy represents the greater part of the usable sustainable power on this planet. Photovoltaic (PV) is a strategy for producing electrical force by changing over sun powered radiation into direct flow power utilizing semiconductor that display the photovoltaic impact This work centers around a program created in MATLAB/Simulink of photovoltaic module. The created program permits the forecast of PV module conduct under various physical and ecological boundaries. This program can likewise be utilized to extricate the actual boundaries for a given sun based PV module as an element of temperature and sun based radiation
Evaluation of autistic childrens education in Oman: the role of eLearning as a major aid to fill the gap.

Children with Autism need extra attention and care from the surrounding community, specifically from those who are involved in their education. It is clearly noticed that there are significantly fewer online learning programs and materials for educating children with Autism spectrum disorder. However, the use of technology could help to improve the education process of autistic children; therefore, e-Learning systems are among the desired area of investigation to embed it with autistic children education in Oman. This research aims to understand the current situation of educational support for autistic children in Oman, then to suggest a particular solution to contribute in educating autistic children. Quantitative methods are suitable for this kind of research; therefore, a questionnaire survey was used to collect the required information. Based on the information obtained from the questionnaire that took place in Oman, and the findings of the literature review, the researchers had identified that impairment in social interaction is considered as one of the main problems faced by autistic children in their daily life, in addition, these children have mild autism, furthermore, It was observed that there is a shortage of schools, centers, and personnel who supposed to be trained to educate autistic children. The finding of this research recommended the design and implementation of a special e-Learning system to support autistic children in Oman, which shall provide them with immediate support under the supervision of the surrounding community despite their background or specialization.
Sobre Indigenous Graphic Communication Systems: A Theoretical Approach

Resena sobre Indigenous Graphic Communication Systems: A Theoretical Approach, edited by Katarzyna Mikulska and Jerome A. Offner. Boulder: University of Colorado Press, 2019.
The Disruption of Blockchain in Auditing - a Systematic Literature Review and an Agenda for Future Research

Purpose - This paper presents a systematic literature review, including content and bibliometric analyses, of the impact of blockchain technology (BT) in auditing, to identify trends, research areas, and construct an agenda for future research.Design/methodology/approach – We include studies from 2010 to 2020 in our Structured Literature Review (SLR), using accounting journals on the Scopus database, which yielded 40 articles with blockchain and auditing at its core.Findings – One of the contributions of our analyses is to group the prior research, and therefore also the agenda for future research, into three main research areas: 1) Blockchain as a tool for auditing professionals to improve business information systems to save time and prevent fraud; 2) Smart contracts enabling Audit 4.0 efficiency, reporting, disclosure and transparency; 3) Cryptocurrency and Initial Coin Offerings (ICOs) as a springboard for corporate governance and new venture financing. Our findings have several important implications for practice and theory.Implications for research and practice – The results of our study emphasize that 1) the disruption of blockchain in auditing is in a nascent phase and there is a need for compelling empirical studies and potential for the involvement of practitioners; 2) there may be a need to reconsider audit procedures especially suited for digitalisation and BT adoption; 3) standards, guidelines, and training are required to pivot towards and confront the challenge BT will represent for auditing; and 4) there are two sides to the BT coin for auditing, enthusiasm about the potential and risk upon implementation. These practical implications can also be seen as a template for future research in a quest to align theory and practice.Originality/value – Our SLR facilitates the identification of research areas and implications, forming a useful baseline for practitioners, professionals and academics, as we draft the state of the art on the disruption of blockchain in auditing, highlighting how BT is changing auditing activities and traditions.
Penerapan Metode Localization Tampering dan Hashing untuk Deteksi Rekayasa Video Digital

The development of digital video technology which is increasingly advanced makes digital video engineering crimes prone to occur. The change in digital video has changed information communication, and it is easy to use in digital crime. One way to solve this digital crime case is to use the NIST (National Institute of Standards and Technology) method for video forensics. The initial stage is carried out by collecting data and carrying out the process of extracting the collected results. A local hash and noise algorithm can then be used to analyze the resulting results, which will detect any digital video interference or manipulation at each video frame, and perform hash analysis to detect the authenticity of the video. In digital video engineering, histogram analysis can be performed by calculating the histogram value metric, which is used to compare the histogram values ​​of the original video and video noise and make graphical comparisons. The results of the difference in frame analysis show that the results of the video show that the 2nd to 7th frames experience an attack while the histogram calculation of the original video centroid value and video tampering results in different values ​​in the third frame, namely with a value of 124.318 and the 7th frame of the video experiencing a difference in the value of 105,966 videos. tampering and 107,456 in the original video. Hash analysis on video tampering results in an invalid SHA-1 hash, this can prove that the video has been manipulated.
An Efficient Agent Created In Starcraft 2 Using Pysc2

This paper introduces Judy(Bot/Agent that is developed using reinforcement learning algorithms using the deep mind toolset PySc2 within StarCraft II. The domain reinforcement learning is a unique uncharted field clustered with difficult problems than worked on in previously done research. By observing the actions and then associating them with reward specs within the SC2 domain we aim to supply an open Python-based GUI which consists of an In-house engine to interact with humans. Adding up to the aforementioned challenges the agent must tackle multiple game maps, using the set of mini-games that specialize in totally different parts of StarCraft II gameplay. The agent relies on game replays of humans who are skilled. By offering a starting or base result for a neural network trained by the acquired info we tend to predict the final outcomes and actions of the players. Thus, the agent experiences a brand new difficulty surrounding the environment exploring deep reinforcement learning algorithms.
Consumer Cynicism Identification for Spanish Reviews using a Spanish Transformer Model

Companies pay close attention to how consumers react on social media to their products or services. Our work focuses on the identiﬁcation of Consumer Cynicism, deﬁned as a negative attitude that can have a broad or speciﬁc focus and comprises cognitive, aﬀective, and behavioral components. We create a corpus of 619 Spanish-language comments on YouTube car reviews, annotated for four cynicism constructs: Dissatisfaction, Alienation, Skepticism, and Hostility. We compare diﬀerent classiﬁcation formulations (binary vs. multi-label) and diﬀerent pre-trained models (Spanish BETO vs. multilingual BERT). We ﬁnd binary classiﬁers derived from BETO consistently outperform multi-label classiﬁers and classiﬁers derived from BERT. Our best models achieve F1 of 0.83 for Dissatisfaction, 0.77 for Hostility, 0.71 for Skepticism and 0.70 for Alienation.
How Swarm Intelligence Integrate Global and Local Insight

Swarm intelligence is a form of artificial intelligence (AI) inspired by the insect kingdom. In nature, it describes how honeybees migrate, how ants form perfect trails, and the way birds flock. In the world of AI, swarm systems draw input from individual people or machine sensors and then use algorithms to optimize the overall performance of the group or system in real time.