Reviewerly/exHarmony huggingface dataset:
Analisis Sentimen Masyarakat Indonesia terhadap Pemindahan Ibu Kota Negara Indonesia pada Twitter

The relocation state capital of Indonesia raises various responses, especially from the Indonesian people. The discussion related to these issues is very interesting to study, how are the positive and negative sentiments of the Indonesian towards the government's decision. This study aims to analyze the sentiments of the Indonesian people regarding the relocation state capital of Indonesia, including the chosen name of Nusantara on Twitter. In this study, a comparison of 3 algorithms is used, namely the Support Vector Machine (SVM), Naïve Bayes, and K-Nearest Neighbor (KNN) algorithms. From this study, the results obtained are 1,141 positive comments, while negative sentiments are 591 comments. This shows that the Indonesian people have a positive opinion towards the new capital city of Indonesia. In the classification and model testing phase, 10-fold cross validation is used. From these tests, the SVM algorithm obtained an accuracy value of 85.71%, the Naïve Bayes algorithm obtained an accuracy value of 76.70%, the KNN algorithm obtained an accuracy value of 52.74%. This study shows that the SVM algorithm can work better than the Naïve Bayes algorithm and KNN. The accuracy value for the KNN algorithm obtains a low value, this is because the KNN algorithm is sensitive to features that are less relevant.
K-means and fuzzy c-means algorithm comparison on regency/city grouping in Central Java Province

The Human Development Index (HDI) is very important in measuring the country's success as an effort to build the quality of life of people in a region, including Indonesia. The government needs to make groupings based on the needs of a city/district. To facilitate data grouping based on the similarity of existing characteristics, it is necessary to have a data grouping method, namely the clustering technique. There are several algorithms that are often used in clustering techniques, namely K-Means and Fuzzy C-Means. Each algorithm has advantages and disadvantages. Therefore, in this research, the comparison of the best clustering algorithms will be discussed. The purpose of this research is to compare the K-Means and Fuzzy C-Means algorithms in the grouping of Regencies/Cities in Central Java Province in 2021 based on the Human Development Index (IPM) indicator. The method used is descriptive qualitative. The data used is obtained from the Central Java Statistics Agency, which is in the form of the Central Java Province HDI indicator in 2021 which consists of 35 Regency/City members and has 4 variables, namely Life Expectancy (AHH) (X1), Expectation of School Years (HLS) (X2), Average Length of School (RLS) (X3) and Expenditure Per Capita (X4). The results showed that after a comparative analysis with the standard deviation ratio method, the FCM clustering method was better than the K-Means method. The value of the FCM standard deviation ratio is 0.460093 and the K-Means standard deviation ratio is 0.473601.
Microscopic deformations in MDF swelling: a unique 4D-CT characterization

Abstract Medium-density fiberboard (MDF), a wood-based material that consists of a tight random network of wood fibers, deforms more than wood when exposed to water. For the first time, the microscopic deformations of MDF were tracked during swelling. A hygroscopic swelling setup imposing the material to deform throughout tomographic acquisition was used coupled to X-ray microtomography. An advanced reconstruction algorithm enabled reconstruction of images free of motion artefacts, and state-of-the-art digital volume correlation was applied to determine the mechanical strain fields at high resolution. Wood fiber bundles were then segmented from single fibers with deep learning using the UNet3D architecture. Combined with the strain fields, this segmentation showed that wood fiber bundles were the drivers of MDF swelling. This contrasts with the hygroscopic behavior of wood, where structured wood swells less than single fibers, which might be caused by a difference in penetration and distribution of the adhesive, in and on the wood fiber cell wall. The unique characterization of MDF’s dynamic behavior can already be used to develop manufacturing strategies to improve water resistance, therefore widening the uses of natural fiber-based materials.
Evaluation of Geo-SPEBH algorithm based on Bandwidth for Big Data retrieval in Cloud Computing

The fast increase in volume and speed of information created by mobile devices, along with the availability of webbased applications, has considerably contributed to the massive collection of data.Approximate Nearest Neighbor (ANN) is essential in big size databases for comparison search to offer the nearest neighbor of a given query in the field of computer vision and pattern recognition.Many hashing algorithms have been developed to improve data management and retrieval accuracy in huge databases.However, none of these algorithms took bandwidth into consideration, which is a significant aspect in information retrieval and pattern recognition.As a result, our work created a Geo-SPEBH algorithm to solve this basic gap.The paper then assesses the performance of the Geo-SPEBH algorithm in terms of bandwidth in a distributed computing environment.Geo-performance SPEBH's was compared to existing state-of-theart approaches using a network analyzer called Wire shark.The simulation results reveal that during retrieval, the same kb/sec of data is carried from source to destination and from destination to user.When the coding length is 8bit, the findings show that 0.091 kb/s of data is required to transport data from source to destination.Each algorithm with the same bit code requires the same amount of bandwidth to convey data.
Breaking the Decisional Diffie–Hellman Problem for Class Group Actions Using Genus Theory: Extended Version

In this paper, we use genus theory to analyze the hardness of the decisional Diffie–Hellman problem for ideal class groups of imaginary quadratic orders acting on sets of elliptic curves through isogenies (DDH–CGA). Such actions are used in the Couveignes–Rostovtsev–Stolbunov protocol and in CSIDH. Concretely, genus theory equips every imaginary quadratic order $$\mathcal {O}$$ with a set of assigned characters $$\chi : {\text {cl}}(\mathcal {O}) \rightarrow \{ \pm 1\}$$ , and for each such character and every secret ideal class $$[\mathfrak {a}]$$ connecting two public elliptic curves E and $$E' = [\mathfrak {a}] \star E$$ , we show how to compute $$\chi ([\mathfrak {a}])$$ given only E and $$E'$$ , i.e., without knowledge of $$[\mathfrak {a}]$$ . In practice, this breaks DDH–CGA as soon as the class number is even, which is true for a density 1 subset of all imaginary quadratic orders. For instance, our attack works very efficiently for all supersingular elliptic curves over $$\mathbb {F}_p$$ with $$p \equiv 1 \bmod 4$$ . Our method relies on computing Tate pairings and walking down isogeny volcanoes. We also show that these ideas carry over, at least partly, to abelian varieties of arbitrary dimension. This is an extended version of the paper that was presented at Crypto 2020.
Federated Stain Normalization for Computational Pathology

Although deep federated learning has received much attention in recent years, progress has been made mainly in the context of natural images and barely for computational pathology. However, deep federated learning is an opportunity to create datasets that reflect the data diversity of many laboratories. Further, the effort of dataset construction can be divided among many. Unfortunately, existing algorithms cannot be easily applied to computational pathology since previous work presupposes that data distributions of laboratories must be similar. This is an unlikely assumption, mainly since different laboratories have different staining styles. As a solution, we propose BottleGAN, a generative model that can computationally align the staining styles of many laboratories and can be trained in a privacy-preserving manner to foster federated learning in computational pathology. We construct a heterogenic multi-institutional dataset based on the PESO segmentation dataset and improve the IOU by 42\% compared to existing federated learning algorithms. An implementation of BottleGAN is available at https://github.com/MECLabTUDA/BottleGAN
Managing Google Maps for linguistic landscaping of pollution and health signage

Pollution and health have emerged in recent years as worldwide concerns. A great deal of information is communicated in order to raise human awareness of this issue. Public signage is one way to obtain this information. The aim of this paper is twofold. Firstly, this article outlines the use of Google Street and Google Maps to locate street signs linked to pollution and health issues. The second is to develop a conceptual approach into creative learning by employing digital technology in discovering and introducing students to information regarding pollution and health signs in the outdoor landscape using a novel technique and approach called Digital Linguistic Landscape Learning. It was revealed that the self-access center is the focal point for the development and use of digital technology, which provides students with the autonomy to investigate or discover solutions to the contestation of socio-cultural phenomena connected to the two key concerns in the public spheres.
HACKATHONS FOR EXPERIENTIAL LEARNING IN IS HIGHER EDUCATION

Industry has identified the lack of experiential learning in higher education as the leading cause of the current skills gap.Hackathons recently got more attention as an effective experiential learning tool to prepare students for the job market.Hackathon events help students apply their knowledge and skills in real-world settings and develop the required technical and soft skills for industry needs.Furthermore, they help higher education keep up with the pace of technological advancement and close collaboration with industry.This paper outlines the use of hackathons, specifically an RPA hackathon using UiPath, in higher education as a tool for experiential learning to better prepare graduates for the job market.In the RPA hackathon, students participate in a limited-time event, work in teams to identify a real-world problem, design and develop a solution, and present their problem and solution to the industry sponsor.The results show that students leave hackathons excited, motivated, and better prepared for the job market, and they can gain valuable insights for their future careers.
Open access digital repositories of agricultural sciences in Africa: a webometric study

The study examines different characteristics of link analysis and visibility of websites of agricultural digital repositories in Africa. The different link structures and the presence of web through different indicators like Internet access, web pages and link count are also highlighted. This study has used popular search engines Google) to analyse and measure the web presence of African agricultural repositories. An attempt has also been made to find out the correlation among the WIF and WISER indicators of selected agricultural repositories in Africa. The result shows that KARI e-repository-(Kenya Agricultural Research Institute) occupies the first place with 102467.5325 SWIF among 37 agricultural repositories in Africa. Again, it ranks 23rd position with 77 Web Pages and 02 In-link Web Pages and 0.025974026 RWIF. The findings of this study may guide webmasters and library professionals to identify the web presence of repositories and also help them to compare the repository websites of agricultural sciences in Africa by their WIF and WISER Rank.
Social networking sites in cultivating the reading habits of secondary school learners in Bulawayo, Zimbabwe

Technological developments, especially social networks, have brought about changes in social and educational conditions. These technological developments also apply to the reading habits of secondary school learners. The general purpose of this study is to examine the adoption of social networking sites in cultivating the reading habits of secondary school learners in Bulawayo Metropolitan province in Zimbabwe. The study employed a multiple-case study with 14 focus groups, consisting of 210 learners. Data was collected through interviews with eight school librarians and analysed thematically. The key findings revealed that learners are using different types of social networks, including WhatsApp, Facebook, Watt pad, Pinterest, and YouTube to connect with friends and family and keep abreast with the latest events. The study further revealed the positive effects of using social networking sites, such as the availability of up-to-date reading materials that can be easily shared amongst learners. However, these sites were not fully used by learners for reading. The findings also showed that some learners spend approximately five hours on social media for entertainment purposes and this has a negative effect on their reading habits. The study then concluded that learners are using social networks, but mainly for social engagement purposes. If guided, they could use social networking sites to cultivate and enhance their reading habits.
Figure and Figure Caption Extraction for Mixed Raster and Vector PDFs: Digitization of Astronomical Literature with OCR Features

Scientific articles published prior to the "age of digitization" in the late 1990s contain figures which are "trapped" within their scanned pages. While progress to extract figures and their captions has been made, there is currently no robust method for this process. We present a YOLO-based method for use on scanned pages, post-Optical Character Recognition (OCR), which uses both grayscale and OCR-features. When applied to the astrophysics literature holdings of the Astrophysics Data System (ADS), we find F1 scores of 90.9% (92.2%) for figures (figure captions) with the intersection-over-union (IOU) cut-off of 0.9 which is a significant improvement over other state-of-the-art methods.
Foreign language and practical training of students and graduate students of a non-language university

The problem of the status of a foreign language in the context of actualization of practical training of students and graduate students and increasing demand by employers' professional foreign language competence of graduates of Russian non-language universities were raised. Foreign language for a modern graduate, for example, a technical university, no longer the passing discipline, which not yet so long ago could not remember after receiving a diploma, but an effective tool for solving professional tasks of various types, and often the key to building a professional career. The results of a critical assessment of the current system of foreign language training of students and graduate students in several dozens of non-language universities conducted by the authors of the open documentation laid out on the Internet showed its imperfection in terms of professionalization and led to the conclusion about the need to change primarily with the emphasis on communication. Initious training of students with their future professional activities, and the presence of prerequisites for this. The regulatory and legal framework necessary to conduct changes has already been formed, so the initiative of local changes in the system should manifest themselves on the ground by the universities themselves. The authors of the article describes corrective activities regarding the foreign language training of students of a non-language university related to clarifications or changes in the basic characteristics of education and / or organizational and pedagogical conditions for the implementation of specific educational programs for training students and graduate students of directions 22.03.02 Metallurgy, 22.04.02 Metallurgy and 22.06.01 Material Technologies Department Metallurgical Technologies and Equipment of the Nizhny Novgorod State Technical University named after R.E. Alekseev, and already proven its effectiveness. Among them: extension in practical classes in the language as a study within each of the levels and transition from a level on the level of training in the share of foreign language practical training associated with the implementation of students in individual types of work related to future professional activities and aimed at forming, consolidation, development of practical skills and competencies on the profile of the relevant educational program; conducting practical training on optional disciplines of foreign language preparation included in the curriculum is fully in the format of practical training, as well as the organization of practical foreign language preparation within the framework of the production practices of students on the sites of Russian and foreign organizations engaged in the profile of a specific educational program.
CRYPTOCURRENCY FRAUD: A STUDY ON THE CHARACTERISTICS OF CRIMINALS WHO ARE USING FAKE PROFILES ON A SOCIAL MEDIA PLATFORM TO PERSUADE INDIVIDUALS TO INVEST INTO CRYPTOCURRENCY

The interest in cryptocurrency investing is constantly growing.Cryptocurrency may be the currency of the future, but it is also the heaven for con artists to scam investors from their money.Crypto transactions are irreversible.If the underlying blockchain technology has privacy or mixer capabilities it can be virtually untraceable, which creates a new avenue for criminals to scam victims with ease.Social media impersonation is one of the top scams currently performed by criminals.This study presents an example of a social media impersonation scam and the characteristics of the scam.The qualitative data is gathered from communication between the scammer and the potential victim.This study also indicates that cryptocurrency awareness should be included in cyber security training curriculums.
The Application of VR Technology based on Computer Vision in Physical Education

VR technology is a modern science and technology that simulates real life through a computer system. It allows users to have an immersive feeling and experience. Therefore, it takes an significantly role in physical education that emphasizes technical movement education. This paper focus on the studies of VR technology application based on computer vision in college physical education teaching. The necessity and status quo of computer VR technology and physical education teaching efficient, it proposes the application strategy of computer VR technology in college physical education teaching, to effectively apply computer vision VR technology to college physical education, to improve the physical education quality and efficiency, and to promote healthier development of physical education.
The Shape of Your Cloud: How to Design and Run Polylithic Cloud Applications

Nowadays the major trend in IT dictates deploying applications in the cloud, cutting the monolithic software into small, easily manageable and developable components, and running them in a microservice scheme.With these choices come the questions: which cloud service types to choose from the several available options, and how to distribute the monolith in order to best resonate with the selected cloud features.We propose a model that presents monolithic applications in a novel way and focuses on key properties that are crucial in the development of cloud-native applications.The model focuses on the organization of scaling units, and it accounts for the cost of provisioned resources in scale-out periods and invocation delays among the application components.We analyze dis-aggregated monolithic applications that are deployed in the cloud, offering both Container-as-a-Service (CaaS) and Function-as-a-Service (FaaS) platforms.We showcase the efficiency of our proposed optimization solution by presenting the reduction in operation costs as an illustrative example.We propose to group similarly low scale components together in CaaS, while running dynamically scaled components in FaaS.By doing so, the price is decreased as unnecessary memory provisioning is eliminated, while application response time does not show any degradation.
EFFECTIVENESS OF ENGLISH SONGS IN TEACHING VOCABULARY TO THE SIXTH GRADE PUPILS

This research was held at SDN Sungai Bambu 05 Pagi. The objective of the study is to find the empirical evidence of whether or not English songs are effective in teaching vocabulary to the sixth grade pupils. The samples of this study were 28 students of VI D. The writer used quantitative design by employing pre-experiment method in taking this research. She used vocabulary test to find the students vocabulary pre-test and post-test scores and use t-test to analyse the effectiveness of English songs in the teaching of vocabulary. The test consisted of two parts; multiple choice, and matching with the total 50 items. After describing and analysing the data, it can be concluded that English songs are effective as an alternative strategy in the teaching vocabulary to the sixth grade pupils. It is proven that there is a significance score after several treatments in the classroom. Moreover, the benefits of the research result are the teacher and the students feel more relaxed, less-stressful, and happy, the teacher and the students gain new word from the lyric so, they will try to pronounce the words, and the teacher and the students become more active.
Reviewing the «book» term explication in the context of documentology

The purpose of the article is to introduce new approach to explicate the term of «book». It implicates inter- and transdisciplinary study of accumulated knowledge on the book theory, combined basic schemes and terminological systems in the book theory, documentology and related areas, identification of conflicts and their elimination. The author suggests to use widely the documentoriented terms introduced by Yury N. Stolyarov and Galina N. Shvetsova-Vodka; differentiated modelling and typological classification of documents and other objects to deliver social information to the society; and convergence of their typological and ontological features. These would provide for the unity of theoretical and ontological knowledge but also of taxon and metrological and structural aspects of their theorization. The result of the study is that the «book» term is defined as an astadial unit of activities to provide social information to the society. The book is an information product, significant in its semiotic value and embodied in the form of scrolls, blocks of bound pages, laser, optical discs, records, digital devices for reading, etc.: intended for reading (listening or tactile sensing) and fulfills the function of transmitting knowledge and other semantic content to addressees.