Reviewerly/exHarmony huggingface dataset:
PENERAPAN METODE DEMONSTRASI UNTUK MENINGKATKAN PERHATIAN DAN PRESTASI BELAJAR SISWA (Studi pada Mata Pelajaran Matematika Siswa Kelas II SD Kecamatan Pagar Alam Utara)

This study aims to describe the application of demonstration method to increase student attention and learning achievement. This research uses the Classroom Action Research (CAR) method which is carried out in three cycles with four stages consisting of planning, implementation, observation, and reflection. This research also uses quasi experiment. The subject of the study was the second semester of II grade students in the 2020/2021 school year at SD Negeri 2Pagar Aam, totaling 25 students. Whereas the quasi-experiments were IIA and IIB grade students in SD Negeri 7 Pagar Alam, each of which numbered 25 students. Data collection instruments in this study used observation sheets and tests. Analysis of research data using statistical averages (mean), percentages and t-test. The results showed that the application of the demonstration method in learning activities could increase the attention and learning achievement of grade II students of SD Negeri 2 Pagar Alam
Mapping Surficial Materials in South of Wager Bay Area (Nunavut) Using RADARSAT-2 C-HH and C-HV, Landsat-8 OLI, DEM and Slope Data

GEM-1 and GEM-2) programs to provide new geological knowledge on the nature and composition of surficial materials for sustainable resource development and land-use management in central mainland Nunavut [13][14][15][16].The study is subdivided into two parts: part 1 [8] produced a surficial materials map with 21 classes for an area located north of Wager Bay by applying a non-parametric supervised classifier (Random Forests) to a combination of Landsat 8 optical images and RADARSAT-2 SAR C-HH and C-HV images as well as a digital elevation model (DEM) and derived slope data; part 2 applies the same methodology developed and validated in the area north of Wager bay to produce a surficial materials map comprising 22 classes for an area located south of Wager Bay, Nunavut.The resultant map is validated with an independent set of georeferenced field observations that were acquired in summers of 2012, 2015, and 2016. Study AreaThe study area is located south of Wager Bay, Nunavut, on the western side of Hudson Bay and includes parts of Ukkusiksalik National Park (Figure 1).It covers the National Topographic System (NTS) map sheets 046D, 046E, 055P, 056A, 056H.The study area is located within the Wager Plateau of the Canadian Shield [17].Elevations range from sea level along Wager Bay and Hudson Bay to 550 m asl in the northwestern part of the study area.The drainage network lianks numerous intermediate to large lakes and ponds (Figure 1).The overall discharge direction of drainage systems is from
Image Retrieval Model Analysis of Digital Library Based on Texture Characteristics

A new document image retrieval algorithm is proposed in view of the inefficient retrieval of information resources in a digital library. First of all, in order to accurately characterize the texture and enhance the ability of image differentiation, this paper proposes the statistical feature method of the double-tree complex wavelet. Secondly, according to the statistical characteristic method, combined with the visual characteristics of the human eye, the edge information in the document image is extracted. On this basis, we construct the meaningful texture features and use texture features to define the characteristic descriptors of document images. Taking the descriptor as the clue, the content characteristics of the document image are combined organically, and appropriate similarity measurement criteria are used for efficient retrieval. Experimental results show that the algorithm not only has high retrieval efficiency but also reduces the complexity of the traditional document image retrieval algorithm.
Fusion Graph Convolutional Collaborative Filtering

Recently, Graph Neural Network (GNN) has been proved to be an efficient technique to solve the problem of graph-structured data, and many graph-based methods of recommendation have shown noticeably good performances. However, many approaches use pure GNN layers as the encoder of the nodes, which we think may limit the performance of the model. In this paper, we propose Fusion Graph Convolutional Collaborative Filtering (FGC-CF) which uses DeepWalk and graph convolutional layers to be the encoder of nodes to enhance the capability of the node encoder. For better modeling the similarity of user and item, we involve the local inference of the ESIM [] to obtain the user representations by considering the interacted items, and the item representations by considering the interacted users. We conduct experiments on four datasets and the results not only show the remarkable performance of FGC-CF but also prove the necessity of using DeepWalk and ESIM local inference technologies.
High Dimensional Health Care Privacy Approach Using Blockchain Technology

A large amount of data induced by different practices in communication network, which leads to huge volume of information that is troublesome for certain data processing and detailed functionality, hence to properly handle the collected information the cloud storage will aid and also provide the tools and mechanism required to manage the uncontrollable growth in Big Data. Blockchain technology reduces the dependence on a centralized authority to verify information integrity and ownership, as well as arbitrate transactions and exchange of digital resources, while enabling secure and undisclosed transactions along with agreements directly between interacting nodes. It has key properties, such as immutability, decentralization and transparency that could address urgent health care issues, such as incomplete point-of-care files, and difficult access to information on Patient health. An efficient and effective health care system requires interoperability, which allows software applications and technology platforms to communicate securely and seamlessly, exchange data, and use the exchanged data across health organizations and application vendors. Unfortunately, healthcare today suffers from fragmented data, delayed communications, and disparate workflow tools caused by the lack of interoperability. Blockchain offers the possibility of allowing access to complete and recognized longitudinal medical records with manipulations that are stored in fragmented systems in a secure and Pseudo-anonymous way. The proposed work carried out blockchain implementation in a fog computing environment and it also provided the automatic recovery of invalid chains. This also actuates the thump of those privacy concerns and the recommended solutions, providing forthcoming security related specifications to those liable for plotting, establishing, and sustaining Fog systems.
SOFTWARE UNDER TEST DALAM PENELITIAN SOFTWARE TESTING: SEBUAH REVIEW

Software under Test (SUT) is an essential aspect of software testing research activities. Preparation of the SUT is not simple. It requires accuracy, completeness and will affect the quality of the research conducted. Currently, there are several ways to utilize an SUT in software testing research: building an own SUT, utilization of open source to build an SUT, and SUT from the repository utilization. This article discusses the results of SUT identification in many software testing studies. The research is conducted in a systematic literature review (SLR) using the Kitchenham protocol. The review process is carried out on 86 articles published in 2017-2020. The article was selected after two selection stages: the Inclusion and Exclusion Criteria and the quality assessment. The study results show that the trend of using open source is very dominant. Some researchers use open source as the basis for developing SUT, while others use SUT from a repository that provides ready-to-use SUT. In this context, utilization of the SUT from the software infrastructure repository (SIR) and Defect4J are the most significant choice of researchers.
Small Group Discussion Toward Students’ Reading Comprehension: Effective

The purpose of this study was to find out whether or not small group discussion was effective in increasing students’ reading comprehension. Quantitative method was applied in this research by using quasi experimental design with two independent samples. The population taken in this research was the eighth grade students of SMP N 2 Takengon which was 221 students in total, while the samples were class VIII-2 and VIII-3 which were opted by applying random sampling. To collect the data, test was carried out to see the influence of applying SGD in the experimental class. From the data analysis, it can be seen that the mean score for experimental class before and after treatment were 46 and 66,5, while the mean score for control class were 45 and 53. The result of t-test showed that t-score (5,25) is higher than t-table (1,9) indicating that alternative hypothesis (Ha) was accepted and null hypothesis (Ho) was rejected. It signifies that small group discussion was effective in increasing students’ reading comprehension. It is suggested that the teachers apply this technique in teaching and learning.
Optimization Model of Unmanned Aerial Vehicle Distribution Path with Integrated Loading and Unloading

Unmanned aerial vehicle (UAV) delivery has the advantages of small size, high speed, and low cost. A new drone delivery path optimization model with loading and unloading integration is proposed in this study to make full use of UAV(drone) delivery by improving its efficiency. The model considers drone range constraints and loading capacity limitations, analyzes the start and end points of multiple orders, assigns orders to drones from the optimal distribution centers, calculating the order and time to visit all sets and delivery points, and pursuing the least transportation mileage. The ant colony optimization (ACO) algorithm is adopted to solve the problem in two stages. In the first stage, construction rules and pheromones of the solution are defined, and the orders to the UAVs are assigned. In the second stage, by adding constraints to the ACO algorithm, the sequence order of the UAVs visiting the set and delivery points is determined to obtain the optimal path. Finally, a GIS-based delivery platform is developed using Java Development Kit, which is used to produce the optimal scheduling scheme for an example case. A sensitivity analysis of the model parameters is conducted t, which proves the proposed model effectiveness.
The use of cryptocurrencies for hawala in the Islamic finance

This paper aims to evaluate where the application of new fintech solutions like blockchain and cryptocurrencies can be considered as an opportunity to build bridges between Islamic and western culture in order to create a trusted money transfer with low commission and a big transparency and trust. The research question is: Can an Hawala systems based on DLT technologies be considered compliant both with anti-money laundry regulations and with Sharia values? This is a conceptual paper relying upon an understanding of the literature in the fields of technology, sociology, anthropology, criminology and regulatory, as applied to the topic of Islamic practice known as Hawala and emerging new disruptive technologies like Distributed Ledger Technology. The research has been conducted by a literature reviewing on Scopus data base by searching the following keywords: Islamic finance, cryptocurrencies, hawala, stablecoin, globalcoin, money laundering, blockchain. The searching period was set on the last 10 years. The paper discusses some scenarios to define new fintech Hawala system in an evolving scenario of cryptocurrencies, social network commitments and different type of blockchain where it can be digitally transformed by using new fintech technologies while became compliance with anti-money laundering regulations with the respect of Islamic values. As practical implications, this paper could help to encourage researcher and entrepreneurs to evaluate and propose a digital transformation approach with the aim to maintain ancient tradition and, at the same time, apply new technology that improve the life of citizens. As social implications this paper expands upon the understanding of how new fintech solution can be easily be integrated in the real life by using common devices like a mobile phone to be used as wallet for the daily expenses and to receive money from relatives from western countries. The originality/value of this paper is that it covers the literature gap in the field of new fintech solutions applied to Islamic finance by providing a likely proposal by integrating popular tradition, regulations and new technologies. The research limitations and implications are related to that this is a conceptual paper; case studies haven’t been treated, so it is not able to say definitively if the outcomes discussed can be defined as an effective solution and can be developed in the real global society, in a future prospective it’ll be possible to continue to make researches in this field of application with fintech technologies and Islamic Finance.
Penentuan Peak Kilovoltage (kVp) Pesawat Sinar-X Dengan Pemanfaatan Imaging Plate (IP) Di RSUD Dr. Moewardi

&lt;p&gt;Research has been carried out to determine the kVp of X-ray aircraft using an imaging plate (IP) as a measuring tool. The imaging plate functions to record images after irradiation and as a detector to capture and store X-ray energy when it penetrates an object. The purpose of this study is to use IP as a kVp measurement tool. The method used is to create a characteristic curve of the relationship between the ratio of Region of Interest (ROI) of two aluminum filters to rated voltage (kVp). From the research obtained the equation y = 2816.61 x2 – 4532.19 x + 1878.65 with R2 = 0.988. The kVp test was carried out using a fluoroscopic X-ray model SM-20HFH. The test results obtained that the measured kVp value at a voltage of 70 kV was 66.21 kV and an error value of 5.41%. While the measured kVp value at 55 kV is 58.95 kV with an error value of -7.18%. These results indicate that IP can be used to measure kVp with an error below the allowable tolerance, namely the max error ≤ of 10%.&lt;/p&gt;
A Comparative Study: The Demographic Differences of Game Literacy

&lt;p&gt;&lt;em&gt;Nowadays, the development of literacy has found the new ways called Game Literacy. It is an approach based on literacy on game design or the ability to understand certain type of meaning. The aim of this study is to find an empirical data about game literacy across demographic factors (age, gender, playing game duration, and game’s genre). The samples of this research are 418 gamers from 23 provinces in Indonesia that taken by nonprobability sampling. Data collected by using google form to the gamer communities and social media groups. The method of this study is comparative study that aims to find the differences between each demographic factors. The result found that there are differences of game literacy referred to age (p=.000), gender (p=.004), and playing game duration (p=.004). Meanwhile, the other result has found that there are no differences referred on game genre (p=.063). The limitation of this research is the developmental stage of the subject. The subject of this study was only taken from early adults and older.&lt;/em&gt;&lt;/p&gt;
Building Structural Equity in Open Access in Botswana

Training Centre in Communication (TCC Africa) partnered with Botswana International University of Science & Technology (BIUST), the Botswana Library Consortium, and Public Library of Science (PLOS) for a workshop on building structural equity in Open Access in Botswana.
Identification of transparent, compressed and encrypted data in network traffic

The article is dedicated to the problem of classifying network traffic into three categories: transparent, compressed and opaque, preferably in real-time. It begins with the description of the areas where this problem needs to be solved, then proceeds to the existing solutions with their methods, advantages and limitations. As most of the current research is done either in the area of separating traffic into transparent and opaque or into compressed and encrypted, the need arises to combine a subset of existing methods to unite these two problems into one. As later the main mathematical ideas and suggestions that lie behind the ideas used in the research done by other scientists are described, the list of the best performing of them is composed to be combined together and used as the features for the random forest classificator, which will divide the provided traffic into three classes. The best performing of these features are used, the optimal tree parameters are chosen and, what’s more, the initial three class classifier is divided into two sequential ones to save time needed for classifying in case of transparent packets. Then comes the proposition of the new method to classify the whole network flow as one into one of those three classes, the validity of which is confirmed on several examples of the protocols most specific in this area (SSH, SSL). The article concludes with the directions in which this research is to be continued, mostly optimizing it for real-time classification and obtaining more samples of traffic suitable for experiments and demonstrations.
Maturity analysis of E-government in West Java public service websites

The electronics-based government system (SPBE, Sistem Pemerintahan Berbasis Elektronik)) is a new chapter of governance in Indonesia, especially in the West Java province.The West Java government has the vision to accelerate the implementation of the digital government by implementing a digitalization system to support public services.This study aims to test the E-government maturity model by using best practices in 27 public service portals implemented in West Java, Indonesia.There are 17 cities and regencies classified into stage 1 (presence) and 8 cities and regencies classified into stage 2 (interaction) of the maturity model.
Intercultural dimension of the upbringing and educational contents through extracurricular activitie

Republic of North Macedonia (RNM) is a multiethnic and multicultural society. The ethnic heterogeneous structure of the population is an indicator that the educational priority should be to support constructive initiatives to promote the idea of intercultural education, as a basic link for cooperation and communication between different ethnic communities. The educational system of the RNM is facing a great challenge in developing prerequisites for intercultural education as a planned and long-term upbringing and educational approach. Starting from the need for advancing the multiethnic and multicultural reality in the country, the Nansen Dialogue Centre Skopje prepared the Conception for Intercultural Education of the RNM. As an official state development document, it provides an opportunity for fostering of upbringing and educational process in direction of improvement of communication, cooperation and understanding between members of different ethnic communities in upbringing and educational institutions. As a philosophy and approach, the intercultural education should be a key tool in the process of initiation and support for building interactive and harmonious relationships in the community. Implementation and coordination of a large number of extracurricular activities may further enrich the quality of intercultural school life. The Nansen model for intercultural education is an educational model in RNM that enables successful integration of students, parents and teachers of different ethnic communities through a modern upbringing and educational process, based on a variety of intercultural extracurricular and project activities.
VP Hypostasis Translation Problems

The translation of idiomatic expressions represents a particular challenge in the context of machine translation. The meaning of these expressions goes beyond their word meaning and corresponds to the meta-language knowledge about the culture and/or current discourse of the language community. A subgroup of the VP hipostasis represent idiomatic content which is used in a certain pattern of use and can only be interpreted in connection with a corresponding discourse. This article discusses an example from English, which was used in the European Parliament and translated into five languages. The analysis shows different translation strategies and illustrates the relevance of the discourse. The method used is the corpus linguistic computation of corresponding discourse.
GCMNet: Gated Cascade Multi-scale Network for Crowd Counting

With the rapid development of convolutional neural networks, many CNN-based methods have emerged and made promising progress in the field of crowd counting. However, dealing with extremely scale variation remains a challenging but attractive issue. In this paper, we propose an innovative Gated Cascade Multi-scale Network (GCMNet) to tackle with the issue by taking full advantage of the representation of multi-scale features in a multi-level network. First of all, we implement such an idea by obtaining rich contextual information with a multi-scale contextual information enhancement module. Then, considering the pixel-level image detail information that is lost during the successive feature extraction process, we propose a hopping cascade module to refine this detail information. However, naively refining all the detail information is sub-optimal. Therefore, a gated information selection delivery module is designed to adaptively control the delivery of information between multi-level features. Combined with our proposed module, our method can effectively generate high-quality crowd density maps. The superiority of our method over current methods is demonstrated through extensive experiments on four challenging datasets.
Hashtag as a Linguocognitive Unit of Spanish Political Discourse

The article presents an analysis of the discursive features of the hashtags functioning in the current Spanish political discourse which are retrieved from Spanish government, ministries and bodies web publications dedicated to combating coronavirus infection. The purpose of the research is to understand and treat hashtags as a discursive unit in terms of theoretical linguistics, discourse theory, cognitive science and pragmalinguistics. The paper reveals significant linguo-cognitive parameters of the hashtags functioning in Spanish political communication and determines the impact of their verbal and pragmatic influence as a tool for structuring the political agenda in the interests of the sender and manipulative means influencing the consciousness and behavior of the addressee. The interdisciplinary approach is applied together with a set of systemic linguistic research methods - cognitive, pragmalinguistic, comparative, semantic, contextual and discourse analysis. The article clarifies the status of hashtags as an independent category of discourse, in other words, a unit of meaningful information that seamlessly conveys the designed content in the Internet communication, which includes political discourse. In accordance with the functional criterion, the following taxonomic classification of hashtags is substantiated: hashtags-prototypes of a situation or event, hashtags-concepts, hashtags-metaphors, hashtags-imperatives and hashtags-performatives. Key cognitive-pragmatic and linguistic characteristics of hashtags include: metatext structure, semiotic polycode, hypertextuality, interactive essence, intentionality, manipulative potential, simplified syntax, frequent use of performative and imperative verbs to intensify a call to action, emotionality, empathy, use of a language game mechanism to facilitate memorization of a key message, repetitions, rhythm.