Reviewerly/exHarmony huggingface dataset:
Peranan Keterampilan Membaca pada Proses Prapenerjemahan dalam Mencapai Kesepadanan Teks Terjemahan

This study examines what strategies are most likely to be used by students when translating as well as the equivalence level of the translated texts. It aims to find out the appropriate reading strategy when translating. This study uses a qualitative paradigm because it seeks to explain a phenomenon about the choice of reading strategies used by students and the equivalence equivalence level of the translated texts. This research produces descriptive data in the form of patterns of reading strategy when students translate two different kinds of texts. In this study, data collection was carried out in two ways, namely questionnaires and translating test. Questionnaire was used to obtain data about the reading strategies chosen by students when translating. The questionnaire used is a closed type in the form of multiple choice. Each item has a different value. From the results of the analysis presented, it can be seen that most students still show a tendency to use bottom-up strategies in the process of translating. In addition, it can be seen that the choice of reading strategy can influence the results of translation. Some translations produced by students who tend to use bottom-up strategies in the translation process are not context-specific and still seem hard to read and unnatural. While around 80% of translations resulting from top-down strategies are considered acceptable because they are in accordance with the rules of the target language and sentence context. In addition, this research can also show that relying solely on one reading strategy can potentially produce erroneous translations.
Penerapan Macromedia Flash dalam Meningkatkan Kreativitas, Hasil Belajar, dan Efektivitas Pembelajaran Siswa Kelas XII di SMK Negeri 1 Kaliorang

Indonesian subjects have different levels of difficulty so there needs to be variations in learning, so students do not get bored. To implement the objectives of the Indonesian language subject, Indonesian language learning in the 2013 curriculum is presented using a text-based approach. In addition, the use of instructional media in the learning process will reduce student dependence on teachers. The implementation of learning media aims to (1) how is the application of learning media macromedia flash in improving student learning creativity in Indonesian language lessons; (2) how is the application of macromedia flash learning media in improving student learning outcomes in Indonesian language lessons; and (3) how is the effectiveness of macromedia flash learning media in increasing creativity and student learning outcomes in Indonesian language lessons. The subjects of this study were students of class XII at SMK Negeri 1 Kaliorang. This type of research is included in the Classroom Action Research (CAR) whose steps are as follows (1) planning, (2) implementation; (3) observation, and (4) reflection. Retrieval of research data through observation, written tests, and questionnaires with research instruments in the form of (1) observation sheets, (2) test questions, and (3) questionnaire sheet. After conducting research Application of audio-visual learning media can improve student learning outcomes in class XII SMK Negeri 1 Kaliorang, the learning outcomes are evidenced by an increase in test results at the end of each cycle. Improved learning outcomes seen from mastery learning in the first cycle that is 53.33% and 83.33% in the second cycle.
Ontology of Semantics in Information Technologies

The article analyzes ontological possibilities of the meaning of information setting. For this, a modern approach of information technologies is considered in relation to setting the meaning of textual information. At the same time, the problem of setting the meaning of number and the meaning of word (text) is formulated, which is discussed from the perspective of an ontological approach based on the solution of the problem of being, where the ontology of semantics is the result of such a solution. As the ontology itself, a relational ontology is chosen, the initial position of which is the thesis: “to be” means “to be distinctive”. Based on this, information is defined as the result of ontological distinction, which allows mathematical formalization through the operation of subtraction, which expresses the essence of ontological distinction. This in turn allows to build constantly a numerical order of the meanings of any information, including textual, while the meaning of the information is its place in such a numerical range. Such a method, called Relational method, leads to an exact numerical specification of the meaning of any information, and by dignity of this numerical form, the meanings of any information can be easily input into a computer with subsequent processing and operation of these senses.
Java Geliştiricileri Stack Overflow Üzerinde Ne Hakkında Konuşuyor? Deneysel Bir Çalışma

Java has been a widely used programming language for a long time in various fields.Java and its libraries have been frequently updated for various reasons including bugs, change requests, performance and usability requirements and so on.In this paper, we examine how these changes affect the use of Java and analyze trends in its usage.As a data source, we use the Stack Overflow public dataset which is the largest online Q&A site about software technologies.We firstly employ a practical approach to extract the Javarelated posts from the Stack Overflow dataset using cosine similarity and compare it with previous works.We then apply Latent Dirichlet Allocation (LDA) to the corpus for topic modelling.We divided the data set into two-year periods to obtain consistent clusters.After obtaining main topics, we examine topics and keywords on a two-year basis.Finally, unlikely previous works, we manually classify topics into two as "domain-specific" and "development environment" and investigate tendencies of these classes to change in both the short term and the long term.
Analisis Kesalahan Berbahasa Penulisan Surat Lamaran Pekerjaan Siswa Smk Al-Huda Bumiayu

The purpose of this study is to analyze the language errors contained in the job application letter of SMK Al-Huda Bumiayu students. The method used in this research is descriptive method.This study uses data triangulation aimed to test the validity of the data. The analysis technique in this study uses three ways namely data reduction, data presentation, and drawing conclusions. Error writing job application letter written by Al-Huda Bumiayu Vocational School student Language errors found were (1) errors in writing prepositions, (2) errors in writing standard words, (3) errors in italics, and (4) mistakes in capital letters.
Optimality, Accuracy, and Eﬀiciency of an Exact Functional Test

Functional dependency can lead to discoveries of new mechanisms not possible via symmetric association. Most asymmetric methods for causal direction inference are not driven by the function-versus-independence question. A recent exact functional test (EFT) was designed to detect functionally dependent patterns model-free with an exact null distribution. However, the EFT lacked a theoretical justification, had not been compared with other asymmetric methods, and was practically slow. Here, we prove the functional optimality of the EFT statistic, demonstrate its advantage in functional inference accuracy over five other methods, and develop a branch-and-bound algorithm with dynamic and quadratic programming to run at orders of magnitude faster than its previous implementation. Our results make it practical to answer the exact functional dependency question arising from discovery-driven artificial intelligence applications. Software that implements EFT is freely available in the R package 'FunChisq' (≥2.5.0) at https://cran.r-project.org/package=FunChisq
Multi-Robot Adversarial Patrolling Strategies via Lattice Paths

In full-knowledge multi-robot adversarial patrolling, a group of robots have to detect an adversary who knows the robots' strategy. The adversary can easily take advantage of any deterministic patrolling strategy, which necessitates the employment of a randomised strategy. While the Markov decision process has been the dominant methodology in computing the penetration detection probabilities, we apply enumerative combinatorics to characterise the penetration detection probabilities. It allows us to provide the closed formulae of these probabilities and facilitates characterising optimal random defence strategies. Comparing to iteratively updating the Markov transition matrices, our methods significantly reduces the time and space complexity of solving the problem. We use this method to tackle four penetration configurations.
Takayama Test as a Blood Spot Test Tool in Blood Samples Exposed to Freshwater Decomposition Media

In forensic examination, the findings on the inspection of the victim as well as on evidence in the form of spots on both the victim and the scene of the case in any amount can be used to assist the investigation process to help out in clarifying the case. The evidence, which is left behind and can be found and also examined, is blood spots. Blood spots found do not rule out the possibility to be exposed to decomposition media, in this case is water, because one of some efforts to omit an evidence is by disposing it into a watery area. Therefore, besides media decomposition exposure, the duration of exposure will also affect the results of identification of the spots findings. Water exposure as decomposition media will affect the integrity of identification of blood spots for the importance of forensic examination.&#x0D; In this research, it was done an identification test of blood spot testing through a confirmation test using Takayama test for blood spots exposed to freshwater decomposition media. The research used true experimental design and analyzed by using descriptive analysis based on observations followed for 30 days.&#x0D; The results of observation for 30 days serially in the control and treatment sample showed that blood spots exposed to freshwater decomposition media could still be identified as blood by obtaining hemochromogen crystals. The differences in the results of the control and treatment sample appeared with the presence of differences in color quality, namely pink hemochromogen crystals on the blood spot control and brownish yellow in the sample exposed to water, and could still be identified until exposure to water media on day 20. After day 20 to day 30 the color changed to pale yellow.&#x0D; Keywords: identification of blood spots, decomposition media, Takayama test
DEVELOPING HYBRID MEDIA INSTALLATION GAME IN TAMAN GAJAH TUNGGAL

In the recent five years, City parks have been developing rapidly in urban cities in Indonesia. Built in 2007, Taman Gajah Tunggal is one of the city parks located in Tangerang. This park is situated at The Center of Tangerang City on the edge of Cisadane River. Like many public spaces in Indonesia, this park has littering issues by visitors’ lack of care. This re- search is offered to develop social marketing by using a digital game for gaining awareness of Taman Gajah Tunggal’s visitors age 17-30 years old about littering issues. This paper focused on developing the prototyping process in iteration design method by using a digital game to suggest possibilities design for future development interactive installation design in public space which can bring a new experience.
Sentiment analysis on lockdown Covid-19

The invasion of COVID-19 in December 2019, at CHINA created devastating effects on the well -being of individuals. Coronavirus aka COVID-19 is creating fright in the public. This Pandemic is spread from one individual to another with close contact with the infected person. To stop this outbreak, nations all over the world enacted lockdown conditions. Imposing Lockdown, have gradually reduced the number of transfers of the virus. Though lockdowns have a positive impact to stop further spread of the virus, it created psychological impressions on many individuals. Different emotions were rendered by the people in the lock down phase 1 and phase 2. Sentiment analysis is the classification of emotions as positive, negative, and Neutral. In this paper, we would discuss the impact of lockdown on an individual by performing sentiment analysis
Traffic State Recognition of Intersection Based on Image Model and PCA Hashing

The premise of implementing an effective traffic control strategy is the accurate traffic state recognition. In the existing study, traffic state recognition methods were processed by using statistical characteristics and long-term scale detection of field traffic data. Hence, the dynamic characteristics and subtle changes in traffic flow were easy to overlook. At present, more and more advanced traffic detection technology provides reliable and accurate data for measuring and distinguishing the state of urban road traffic, such as the cooperative vehicle-infrastructure system, wide-area radar technology, and 5G technology. This study proposes a novel method called HTSI (High Precision Traffic State Identification Method), which is based on the advanced detection technology in traffic state recognition at the intersection: The raw data used for intersection traffic state recognition is high-precision detection data of tracking characteristics, which make the data look like a picture of the intersection at God’s perspective. To this end, we construct an image model for intersections and implement image feature extraction in a way that is different from traditional image processing. Then, the traffic state recognition problem at the intersection is translated into an image searching problem with tags. The image searching is realized by the hashing algorithm. Finally, the comprehensive experiments prove that the proposed method is more accurate and finer than other methods.
Gender differences in the creativity structureof children of preschool age

The article deals with a theoretical substantiation and empirical research of the problem of peculiarities of gender differences in the structure of creativity of children of preschool age. It is noted that the sexual comparison of the degree of expression of creativity gives contradictory results in all psychometric studies. There are three points of view regarding sexual differences in creativity: 1) girls have better creative abilities than boys; 2) boys are more creative than girls; 3) there are no sexual differences between on creativity.The empirical research of gender differences in the structure of creativity of children of preschool age was carried out with the help of E. Torrance’s tests of creative thinking (verbal and figurative). It is concluded that between the opposite sexes, according to the criterion of creativity, predominantly similarity is manifested. The structure of verbal and figurative creativity of boys and girls is homogeneous. Also, models of gifted pre-schoolers of both sexes match, but indicators of structural profiles of verbal and figurative creativity of girls are higher. Statistically significant differences are found in the level of indicators of verbal creativity (productivity and flexibility) and imaginative creativity (productivity and development).The research has shown that girls have more developed verbal creativity. They are capable of generating, developing ideas and completing them with a large amount of details. However, boys produce a smaller number of ideas, but their ideas are not less original and creative. Preschoolers of both sexes have equally developed the ability to transform the figurative information into a verbal form and the ability to provide abstract names to the executed drawings. Girls and boys are equally open for the perception of new information, they can easily withstand the uncertainty and understand the essence of the problem.
Scientific Publications of the Staff of the V.I. Vernadsky National Library of Ukraine for 2017-2019: Status and Trends

Research activities include identifying current research problems, elaboration of relevant documents, thorough disclosure of the topic, promotion of research achievements in both national and international space. The results of such activities lead to the formation of a single information space, based on the relationship between science and the world professional environment. The current state of the world science has shown that the main criteria for the effective operation of research institutions should be: international recognition of scientific results, publication activity of individual employees, departments and research institutions in general. The scientific community has formed a strategy, aimed at intensifying publishing activities, increasing the efficiency of publishing research results. Publication activity is an important component in compiling ratings of scientific institutions, which is determined depending on the traditions of publishing scientific results in journals, conference proceedings, monographs, etc. The article analyzes the scientific publications of the NLUV scientific staff for the period of 2017-2019. The publishing activity of the staff members in professional periodicals published in the NLUV is researched: 1) scientific works of the National Library of Ukraine named after V. I. Vernadsky; 2) the Library Bulletin; 3) manuscript and book heritage of Ukraine; 4) Ukrainian biography writing; 5) libraries of national academies of sciences: problems of functioning, tendencies of development. The number of publications in foreign publications is studied, the number of publications in other scientific sources, information and analytical bulletins is analyzed. The number of approbations of research results of the NLUV researchers and librarians at international scientific conferences and forums is disclosed. Along with the number of publications, the author’s sheets of paper are counted, which are a unit of measurement of the volume of work performed in scientific activities.
Inference-Masked Loss for Deep Structured Output Learning

Structured learning algorithms usually involve an inference phase that selects the best global output variables assignments based on the local scores of all possible assignments. We extend deep neural networks with structured learning to combine the power of learning representations and leveraging the use of domain knowledge in the form of output constraints during training. Introducing a non-differentiable inference module to gradient-based training is a critical challenge. Compared to using conventional loss functions that penalize every local error independently, we propose an inference-masked loss that takes into account the effect of inference and does not penalize the local errors that can be corrected by the inference. We empirically show the inference-masked loss combined with the negative log-likelihood loss improves the performance on different tasks, namely entity relation recognition on CoNLL04 and ACE2005 corpora, and spatial role labeling on CLEF 2017 mSpRL dataset. We show the proposed approach helps to achieve better generalizability, particularly in the low-data regime.
Blockchain Technology and Healthcare Applications

This article describes how blockchain technology can be used in several key data-driven healthcare areas, including health care records, health claims, interoperability, patient access, and supply chains.
Video content analysis and retrieval system using video storytelling and indexing techniques

Videos are used often for communicating ideas, concepts, experience, and situations, because of the significant advances made in video communication technology. The social media platforms enhanced the video usage expeditiously. At, present, recognition of a video is done, using the metadata like video title, video descriptions, and video thumbnails. There are situations like video searcher requires only a video clip on a specific topic from a long video. This paper proposes a novel methodology for the analysis of video content and using video storytelling and indexing techniques for the retrieval of the intended video clip from a long duration video. Video storytelling technique is used for video content analysis and to produce a description of the video. The video description thus created is used for preparation of an index using wormhole algorithm, guarantying the search of a keyword of definite length L, within the minimum worst-case time. This video index can be used by video searching algorithm to retrieve the relevant part of the video by virtue of the frequency of the word in the keyword search of the video index. Instead of downloading and transferring a whole video, the user can download or transfer the specifically necessary video clip. The network constraints associated with the transfer of videos are considerably addressed.
Adding seemingly uninformative labels helps in low data regimes

Evidence suggests that networks trained on large datasets generalize well not solely because of the numerous training examples, but also class diversity which encourages learning of enriched features. This raises the question of whether this remains true when data is scarce - is there an advantage to learning with additional labels in low-data regimes? In this work, we consider a task that requires difficult-to-obtain expert annotations: tumor segmentation in mammography images. We show that, in low-data settings, performance can be improved by complementing the expert annotations with seemingly uninformative labels from non-expert annotators, turning the task into a multi-class problem. We reveal that these gains increase when less expert data is available, and uncover several interesting properties through further studies. We demonstrate our findings on CSAW-S, a new dataset that we introduce here, and confirm them on two public datasets.
The 220th Anniversary of the Academy of Sciences of the USSR in the Victorious 1945: A Scenario of Celebration in the Sociocultural Context of the Era

In June 1945, the 220th anniversary of the USSR Academy of Sciences was celebrated on a grand scale. An academic anniversary is a polysyllabic commemorative action that can be described in diverse contexts. The authors focused directly on the holiday scenario in the corporate-ritual dimension, as well as its communicative potentialities. The source of the research was published and unpublished clerical materials of the USSR Academy of Sciences, periodicals and popular science publications, ego-sources of participants in the science festival. The methodological optics of the article consisted of developments in the field of intellectual history, the social history of science, and the history of memory. In the festive scenario, the authors identified the following components: 1) actually scientific, 2) ritual and welcoming, 3) concert and entertainment, and 4) banquet. During the study, it was concluded that the scenario for celebrating the 220th anniversary of the USSR Academy of Sciences is multilayered and at the same time integral and indivisible. It organically combined heterogeneous social entities - power sharpened by rigid forms of social engineering and repressive regulation, scientists trying to remove themselves from excommunication from pre-revolutionary and world science, foreign guests who became their own for a short historical moment. The scenario of the anniversary correlates with the contextual background of the anniversary celebrations, which was distinguished by a special atmosphere of expectation of a new life after the Great Patriotic War. In the communicative plan, jubilee celebrations are considered as practices of intensive communication. The conclusion is made that the idea of a unified world science will be revived for a short moment.