Reviewerly/exHarmony huggingface dataset:
Monitoring Perubahan Pola Alur Sungai Menggunakan Citra Satelit Resolusi Spasial Menengah Berbasis Spectral Classification

The development of remote sensing technology allows humans to acquire and process data remotely and temporally. Changes in the flow of the Progo river from the last few years are significant, this can be caused by natural factors and human factors. The influence of the intensity of flow and the level of sedimentation in the Progo river causes a massive flow pattern change in the Progo river body. The data used in this research is Medium Spatial Resolution Satellite Imagery, Landsat 5 satellite imagery acquired in 1995 and Landsat 8 acquired in 2017. Monitoring of changes in river flow pattern is generally done by using the method of terrestrial or conventional measurement, which takes a long time, for that the use of methods and remote sensing data can be used to save time. The method used is multispectral classification approach with maximum likelihood algorithm. The results of extraction using digital classification method (maximum likelihood) resulted in the appearance of flow pattern quickly and representative, so this method is suitable for the purpose of rapid detection of changes in flow pattern. The results obtained from the extraction of the Progo river flow pattern show an intricate river flow pattern with many river rubbers on the image appearance of 1995, whereas in the image extraction results in 2017 the river banks and turns do not look dominant, it shows that erosion and sedimentation activities continue to occur massively.
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract)

With the proliferation of blockchain projects and applications, cryptocurrency exchanges, which provides exchange services among different types of cryptocurrencies, become pivotal platforms that allow customers to trade digital assets on different blockchains. Because of the anonymity and trustlessness nature of cryptocurrency, one major challenge of crypto-exchanges is asset safety, and all-time amount hacked from crypto-exchanges until 2018 is over $1.5 billion even with carefully maintained secure trading systems. The most critical vulnerability of crypto-exchanges is from the so-called hot wallet, which is used to store a certain portion of the total asset online of an exchange and programmatically sign transactions when a withdraw happens. It is important to develop network security mechanisms. However, the fact is that there is no guarantee that the system can defend all attacks. Thus, accurately controlling the available assets in the hot wallets becomes the key to minimize the risk of running an exchange. In this paper, we propose Shoreline, a deep learning-based threshold estimation framework that estimates the optimal threshold of hot wallets from historical wallet activities and dynamic trading networks.
Exploratory Navigation and Selective Reading

Navigating a collection of documents can be facilitated by obtaining a human-understandable concept hierarchy with links to the content. This is a non-trivial task for two reasons. First, defining concepts that are understandable by an average consumer and yet meaningful for a large variety of corpora is hard. Second, creating semantically meaningful yet intuitive hierarchical representation is hard, and can be task dependent. We present out system Navigation.ai which automatically processes a document collection, induces a concept hierarchy using Wikipedia and presents an interactive interface that helps user navigate to individual paragraphs using concepts.
A Method of Style Transfer for Chinese Painting

This paper introduces a style transfer method for traditional Chinese painting. We improved the traditional method by adding style characteristics and constraints unique to Chinese painting. By comparing Chinese painting with Western painting and natural pictures, we find that the features such as lines and textures in Chinese painting are quite different from other images. Therefore, these features are extracted and added to the original method in a restrictive manner. Finally, experiments prove that the method has a certain improvement effect on the style transfer result of Chinese painting.
The Impact of the Perceived Leadership Style on Team Cohesion in Munir Sukhtian Pharmaceuticals (MS Pharma) Company in Jordan

The present research paper intended to explore the impact of the perceived transformational &amp;amp; transactional Leadership styles on team cohesion in Munir Sukhtian Pharmaceutical Company. An electronic questionnaire was sent to 160 employees in different department in MSP in Amman- Jordan. 84 employees completed the adapted version of the multifactor leadership style (rater form) and the Group Environment Questionnaire. Two attributes of each of leader ship styles were measured. For team cohesion, attraction to group and group integration attributes, were assessed regarding both social and task aspects. Results showed significant moderate correlation between leadership style and team cohesion with no difference when it comes to demographic and functional variables.
Story-level Text Style Transfer: A Proposal

Text style transfer aims to change the style of the input text to the target style while preserving the content to some extent.Previous works on this task are on the sentence level.We aim to work on story-level text style transfer to generate stories that preserve the plot of the input story while exhibiting a strong target style.The challenge in this task compared to previous work is that the structure of the input story, consisting of leading roles and their relations with each other, needs to be preserved, and that the generated story needs to be consistent after adding flavors.We plan to explore three methods including the BERT-based method, the Story Realization method, and the Graph-based method.
Penerapan Jaringan Syaraf Tiruan Backpropagation Dalam Sistem Pakar Diagnosa Virus TORCH

Virus TORCH is an acronym of the virus Toxoplasma, Rubella, Cytomegalo virus, and Herpes. TORCH virus causes many children born with disabilities. The purpose of this study is to generate and build an expert system software that can help the patient in making an early diagnosis of the TORCH virus, in order to reduce the risk of children born with disabilities caused by this virus. Method research design is a case study and interviews in finding out about the TORCH virus. This expert system making use of Visual Basic .NET in the making of the application. An expert system is paired with a forward chaining neural network Backpropagation as decision-making. This expert system featuring a large selection of symptoms that can be selected user, where each choice of symptoms will bring the user to the selection of the next symptom to get the final result. While the database used is MySQL. Design model used is UML (Unfield Modeling Language) and flowchart. Its design method is a prototype and testing software using black box testing systems have been built. The results of this study is to help the public to better understand and know TORCH suffered virus so that it can be treated promptly to avoid the children who are born with disabilities. Suggestions in the future is that this expert system can be online
PENGARUH PENERAPAN E-LEARNING TERHADAP PRESTASI BELAJAR MAHASISWA (STUDI KASUS PADA MAHASISWA JURUSAN AKUNTANSI FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS SYIAH KUALA)

The aim of this study is to examine the effect of using e-learning tools on students achievement in learning who are majoring in accounting at Faculty of Economics and Business, Syiah Kuala University. This research uses quantitave research approach with the type of case study. The data used in this study is primary data by distributing questionnaires directly to all respondents. The population in this study is all students who are majoring in accounting at Faculty of Economics and Business, Syiah Kuala University. The sampling technique used in this study is Judment sampling. The number of questionnaires that have been analyzed are 33 questionnaires. Testing the effect of independent variable on the dependent variable was done by using simple linear regression model with SPSS. The result of this study indicates that the use of e-learning has a positive effect on students achievement in learning who are majoring in accounting at the Faculty of Economics and Business, Syiah Kuala University.
Examining Commercialized Security Industry’s Services on National Security in Nairobi County, Kenya

Maintenance of security and good order for the citizens, had traditionally been undertaken by the state. However, non-state actors have come up to offer security to those who can afford to pay for it. And this is the liberalists view of the provision of security that, the pursuance of security can be achieved with the involvement of other actors offering the same. Despite this development, few studies have examined commercialized security industry services on national security in Kenya. Using Security Governance theory and Network Analysis theory, this study sought to understand the topic. The study took on a cross sectional survey design, and was carried out in Nairobi with the adult residents as the target population. A multistage sampling technique was employed to obtain the respondents. Questionnaires, scheduled interviews and structured observation were used to collect data. The Statistical Package for Social Sciences (SPSS version 25, 2017) was used in data management and analysis. The results demonstrate that (1) Manned guarding significantly contributes to the 26 % of outcome of the commercialized security B = .260, β = .135, P = .007; (2) Alarm and Electronics 22.9 %; B = .229, β = .224, P = .001; (3) CVIT security service contributes significantly and positively at 10.8 %; B = .108, β = .118, P = .018. While commercial investigative security service 3.6 % (B = .036, β = .084, P &lt; = .103 although it was not significant. The study concluded that, commercialized security though motivated by profit making plays a significant role that enhances state capacity in provision of security as well as contributes to safety of citizens. Thus the study recommended that, there should be efforts to increase the usage of commercialized security investigation service. It is expected that the findings of this research will provide data that can be used to inform policy and practice amongst commercial security providers to increase their impact on national security in Kenya. The data can also stimulate the academic community towards more research in the field.
Koleksi buku cerita bergambar (picture storybooks) di Perpustakaan Desa Sukamukti

Introduction. The teachers at Kelompok Belajar Islam Terpadu (KBIT) Sukamukti village have used picture storybooks from the Library of Sukamukti village and reading them in a story telling session to their students. Two of this activities as a basic in the pre-reading activity to early childhood, so that the purpose this reaserch is to understand how the teachers use the picture storybooks, reading technique, and storytelling.&#x0D; Data Collection Method. This paper used a qualitative perspective with phenomenology by using observations, interviews, focus group discussions, and literature study.&#x0D; Analysis Data. Data from interviews were transcribed for further analysis &#x0D; Results and Discussion. The teachers at KBIT Sukamukti village used the picture of storybooks with fables. The teachers also discussed plot, animal activities, themes and morality based on the story. The language in the story is easy to understand by the children, book illustrations explain the reality of the character in the forest. Activities read aloud by introducing the identity of the book used, and storytelling activities through self-assement, stories, sounds, expressions, gestures, and other abilities.&#x0D; Conclusion. The teachers read and tell stories to educate young children in alphabet, vocabularies, and creativity. This helps early children in the process of learning pre-reading.
Conformism, Nonconformism, and the Visual Inevitability of Post Nonconformism: To the History of the “Nonconformism” Concept

The ontological continuity, parallelism and counterpoint of conformism and nonconformism in the cultural and artistic process are revealed. It has been proven that nonconformist artists were not only the ones who openly professed nonconformism. Besides strong and direct opposition to the ideological doctrine, there also existed a gentle nonconformism, which perceived the world from the point of view of a common sense. The concept of“nonconformism” may incorporate behavioral, ideological phenomena of different temporal dimensions. It has been traced that ideological orientations of Ukrainian nonconformism have so far retained their value in the form of post-nonconformism, a cultural phenomenon of the 1990s–2000s that emerged from the ruins of the post-totalitarian regime in the conditions of democratic freedoms
An Oral Test in English for Chinese Non-English Major Tertiary Level Students

The study aims to develop items that test the speaking ability of Chinese Non-English major tertiary level students, and to develop a rating scale for the speaking test and to determine the validity and reliability of the test.Using the descriptive method, design and administer an oral test to ten randomly selected non-English major Chinese tertiary level students and find out the test can generally function as an appropriate instrument in testing the speaking ability of Chinese non-English major tertiary level students.The rating scale devised is fairly easy to handle.The test possesses face and content validity and the inter-rater reliability is high.
THE ESSENCE AND GENESIS OF SCIENTIFIC KNOWLEDGE: PHILOSOPHICAL PROBLEMS

The article examines the essence and Genesis of scientific knowledge from the point of view of philosophy.The role of activity in scientific knowledge is analyzed.At the same time, science is defined as the sphere of human spiritual activity aimed at obtaining, substantiating and systematizing interactive knowledge about the world.A historical digression into the development of science is made.We are talking about scientific knowledge, which includes: regularities of scientific and cognitive activity, the main principles of science; features of the origin and historical development of science; the specifics of the existence of science as a social institution; structure, dynamics, levels and forms of scientific knowledge, means and methods of achieving this knowledge; the significance and prospects of science in the modern world.The authors consider the features of modern scientific knowledge, which is understood as a strong information capacity and its size super-complex flexible structure consisting of various scientific disciplines, fields of knowledge, levels, types and forms of scientific knowledge that are based on scientific activity.The authors note the main philosophical and methodological approaches to the definition of science, namely, the logical and epistemological approach; positivist approach; sociological and cultural approaches.For the authors, it is a fundamental distinction between epistemology, which analyzes the place of knowledge in modern reality, and epistemology, which studies the cognitive process as a whole.The authors consider the important role of objective knowledge, which can only be given, in their view, by a systematic philosophical worldview.
Sequencing Operator Counts with State-Space Search

A search algorithm with an admissible heuristic function is the most common approach to optimally solve classical planning tasks. Recently Daviesetal.(2015) introduced the solver OpSeq using Logic-Based Benders Decomposition to solve planning tasks optimally. In this approach, the master problem is an integer program derived from the operator-counting framework that generates operator counts, i.e., an assignment of integer counts for each task operator. Then, the operator counts sequencing subproblem verifies if a plan satisfying these operator counts exists, or generates a necessary violated constraint to strengthen the master problem. In OpSeq the subproblem is solved by a SAT solver. In this paper we show that operator counts sequencing can be better solved by state-space search. We introduce OpSearch, an A∗-based algorithm to solve the operator counts sequencing subproblem: it either finds an optimal plan, or uses the frontier of the search to derive a violated constraint. We show that using a standard search framework has two advantages: i) search scales better than a SAT-based approach for solving the operator counts sequencing, ii) explicit information in the search frontier can be used to derive stronger constraints. We present results on the IPC-2011 benchmarks showing that this approach solves more planning tasks, using less memory. On tasks solved by both methods OpSearch usually requires to solve fewer operator counts sequencing problems than OpSeq, evidencing the stronger constraints generated by OpSearch.
Improving Performance and Scalability of Model-Driven Generated Web Applications

Context. Performance and scalability are of critical value for distributed and multiuser systems like web applications. Posity is a model-driven development tool that allows software engineers to specify a set of graphical diagrams for the automatic generation of web and/or desktop software applications. Posity provides the benefits of model-driven engineering (MDE) tools in terms of high-quality code generation, implementation speed, support for traceability and debuggability, etc. However, web applications generated with Posity do not scale properly to satisfy unpredictable performance demands. As a result, Posity industrial adoption is hindered. Objective. Design a treatment for improving performance and scalability of web applications generated with Posity. Method. We investigate current problems of web applications generated with Posity. Results from our investigation suggest candidate architectures, which we evaluate by applying the architecture trade-off analysis method (ATAM). The outcome of the ATAM evaluation guides the design and implementation of a thick-client architecture for the Posity runtime environment for web applications; which we validate by means of a laboratory demonstration. Results. i) we contribute with criteria for selecting a proper architecture for solving performance and scalability problems, and ii) we report on the experience of designing, developing and validating an architecture for Posity runtime environment. Conclusions. Results from the laboratory demonstration show tangible improvements in terms of performance and scalability of web applications generated by Posity. These advancements are promising and motivate further development of the thick-client architecture for Posity runtime environment for web applications. This experience report concludes with lessons learnt on promoting the adoption of model-driven development tools.
Directing Intentional Superposition Manipulation

Strong story interactive narratives (IN) are stories that branch based on participant actions where all branches conform to a set of predefined constraints. However, participants in these systems may create branches where the constraints no longer hold. Strong story experience management, the process of generating IN trees, can be viewed as a game where the experience management agent wins if the story constraints hold during gameplay and loses if they are broken. In domains where the player has incomplete information of the story world, the experience manager can take action by shifting the player between alternate states that are consistent with the player's observations in order to maximize the probability that constraints will hold. This process is called superposition manipulation. In this paper we present a method of estimating the number of goal states reachable from different states in order to make informed decisions during superposition manipulation.
Social Media Relevance Filtering Using Perplexity-Based Positive-Unlabelled Learning

Internet user-generated data, like Twitter, offers data scientists a public real-time data source that can provide insights, supplementing traditional data. However, identifying relevant data for such analyses can be time-consuming. In this paper, we introduce our Perplexity variant of Positive-Unlabelled Learning (PPUL) framework as a means to perform social media relevance filtering. We note that this task is particularly well suited to a PU Learning approach. We demonstrate how perplexity can identify candidate examples of the negative class, using language models. To learn such models, we experiment with both statistical methods and a Variational Autoencoder. Our PPUL method generally outperforms strong PU Learning baselines, which we demonstrate on five different data sets: the Hazardous Product Review data set, two well known social media data sets, and two real case studies in relevance filtering. All datasets have manual annotations for evaluation, and, in each case, PPUL attains state-of-the-art performance, with gains ranging from 4 to 17% improvement over competitive baselines. We show that the PPUL framework is effective when the amount of positive annotated data is small, and it is appropriate for both content that is triggered by an event and a general topic of interest.
Vision for Decisions: Utilizing Uncertain Real-Time Information and Signaling for Conservation

Recent advances in fields such as computer vision and natural language processing have created new opportunities for developing agents that can automatically interpret their environment. Concurrently, advances in artificial intelligence have made the coordination of many such agents possible. However, there is little work considering both the low-level reasoning that allows agents to interpret their environment, such as deep learning techniques, and the high-level reasoning that coordinates such agents. By considering both together, we can better handle real-world scenarios. We will describe a real-world deployment of conservation drones to illustrate this point.
Technology of Formation of Competitiveness of Future Teachers

The relevance of the material set out in the article, due to the search for conditions and the creation of appropriate technology for the formation of competitiveness of future teachers. It is established that the technology of formation of competitiveness of future teachers can be submitted in three stages. The first stage of formation of competitiveness of future teachers is information and awareness. The second stage of formation of competitiveness of future teachers is operational and procedural (basic). The third stage is reproductive and creative. It is proved that the proposed technology of formation of competitiveness of future teachers is innovative, because, it is based on the understanding of «competitiveness» as an interdisciplinary concept; it corresponds to the features that distinguish models and systems of the innovation class; it takes into account the principles of designing an innovative educational environment, which is manifested in the developed pedagogical conditions for the formation of competitiveness of future teachers.