Reviewerly/exHarmony huggingface dataset:
The Role Of Cultural Studies In Contemporary Art Education

Information technologies have defined a new role of cultural studies in the formation of modern art. Unity of scientific and artistic methods of cognition of global processes becomes a necessary basis for the artists profession. The purpose of the study is to identify the possibilities of cultural studies in the formation of a professional artist. The discovery of a new understanding of the phenomenon of "artist", in demand by modern culture, as well as the inclusion of immanently artistic and meta-artistic aspects of the profession. Structural-analytical and comparative methods of analysis of the concepts "art" and "science" allow us to determine the similarities and differences of scientific and artistic types of consciousness. The application of these methods makes it possible to discover hermeneutic codes for the formation of a new type of professionalism in art. Modern art education should be aimed at the formation of a new type of artist who has a set of the following qualities: artistic erudition, knowledge of the history of art, possession of artistic "craft" and equipment with new media technologies, heuristic thinking, open ability to understand the actual goals and objectives of the profession. It can be concluded that a radical change in the artistic picture of the world, which was influenced by multimedia technologies, increases the role of cultural studies in art education. Cultural studies contribute to the development of communicative qualities of a student at an art institution and are a fundamental moment in the path of his professional self-determination.
Comparative Efficiency Analysis of Data Fusion Methods for Vehicle Trajectory Reconstruction

This article compares the efficiency of vehicle trajectory analysis methods based on data fusion from multiple cameras, monitoring the same area from different views under the condition having detection errors, which causes incorrectly localized and, in some cases, undetected vehicle during the movement. The experiment used the simulation of detection and localization of vehicle moving in straight, curved, zigzag and arbitrary trajectories, with localization errors and multi-level loss of data. By comparing Kalman-filter-based method and Linear-interpolation-based method for analyzing and reconstructing vehicle trajectory, the result shows that the data loss robustness of Kalman-filter-based method is higher than that of Linear-interpolation-based method, with data loss around 97% 97% and 90% for straight, curved and zigzag trajectories respectively. However, for arbitrary trajectory, the Linear-interpolation-based method is better than Kalman-filter-based method in all levels of data loss. In conclusion, Kalman-filter-based method is effective in the case of unchanged or slight transition of direction, while Linear-interpolation-based method is effective in the case of sudden transition of direction.
Strategy of Discipline Construction and Quality Improvement of Postgraduate Education in Local Universities

Discipline construction plays a very important leader role in the development of colleges and universities and itâ€™s an important carrier for the high-level postgraduate education. The discipline construction of local colleges and universities and the cultivation of graduate students should be closely combined with the needs of local economic and social development. It should optimize the discipline layout, highlight the characteristics of the discipline, strengthen the connotation construction, and improve the service ability. On the basis of elaborating the connotation of discipline and discipline construction, this paper analyzes the supporting role of discipline construction on postgraduate education, and puts forward the strategies and implementation approaches of discipline connotation construction and improvement of postgraduate education quality in local universities.
Problematic Pedagogical Situations At School From The Pre-Service And In-Service Teachers’ Pespectives

Intensive progress changes in the society have a strong influence also on our education. The school climate can be influenced by the school management (a headmaster), teachers, pupils themselves and also the use of information and communication technologies (tablets, computers and their use). Pre-service students of the 1st grade of primary school meet with new pedagogical incentives during their teacher training at primary schools, pupils reactions, but also with problem situations which they need to learn to solve. The research aims to identify and describe problems in pedagogical practice from university pre-service student teachers´ point of view and to compare these with the primary school in-service teachers´ (hereinafter Primary School´s (PS)) perception. It is also important to identify the preferred way of solving problem situations by the pre-service teachers. The result is a formation of categories of contentious situations, identification of the preferred way of solving such issues from the pre-service students’ point of view in comparison with in-service teachers’ views. The findings make it clear that the pre-service teachers find the biggest problem to be the time layout of the teaching lessons and in engaging all pupils in learning. The research also shows that the pre-service teachers look for advice and help mainly from the in-service teachers and didactic experts, who teach at the Faculty of Education.
U.S. Law: Crypto Is Money, Property, A Commodity, And A Security, All At The Same Time

The first crypto assets were all designed as replacements for fiat currency, and as such the label “cryptocurrency” made sense. That singular word accurately described bitcoin and all of the early altcoins. However, as innovators have developed additional functionality for crypto, it no longer makes sense to assume that all crypto are the same. Nonetheless, regulatory authorities in the U.S. continue to lump them together. That does not, however, mean that the various agencies are in agreement about how to classify crypto. In an effort to fit crypto assets into existing regulations, crypto in the U.S. is being simultaneously treated as money, as property, as a commodity, and as a security. This has led to conflicting and overlapping regulations, which are not likely to be harmonized unless and until regulators accept that not all crypto are the same, and that they should not all be regulated monolithically.
A Neural Approach for Content- Image Retrieval Using of Image Transforms

Due to ever-increasing explosion of multimedia and storage devices available, accessing large image databases becomes inevitable. Furthermore, the availability of high-speed Internet has raised drastically the level of multimedia exchange by users across cyberspace every second. Hence, content-based image retrieval is gaining importance day by day. Therefore, this work proposes content-based image retrieval based on moments in edge map of different transforms such as Walsh–Hadamard transform (WHT), discrete cosine (DCT), and discrete wavelet transform (DWT). The first- and second-order moments of edges of these transform coefficients are combined with moments of color and color objects to improve the average retrieval efficiency. It has been shown that DWT exhibits better average retrieval efficiency compared to FWHT and DCT on Corel data base.
Research on Hot Topics of College English Education in China

In order to study the hot topics of the college English and lay the foundation for the next research, the article based on 2017 published journal in CNKI (Chinese National Knowledge Infrastructure) on the English study in our university academic thesis co word clustering. After the preliminary analysis, the research focuses on seven aspects: the countermeasure analysis, the multimedia teaching, the network teaching, the cross culture teaching, the curriculum, the quality education and the teaching reform. Therefore, to promote the development of College English teaching, we must clear to expand the trend of hot field, reduce overheating research field, transfer the research direction to other neglected field in various fields so that we can promote the coordinated development.
An Advanced Simple Method for Generating Synthetic Average Instant Hourly Solar Energy

The main objective of this study is to generate accurate synthetic hourly solar radiation data by using an easily accessible open source data. In this regard, a new approach is proposed for estimation of synthetic hourly global solar radiation during the day by utilizing only annual solar energy data. First time in literature, a model has been developed for prediction hourly and daily solar radiation based on annual solar energy parameter in this study. Parameters of the model were generated and tested for Turkey and one of them was presented as a case study within this paper. Long term measured hourly horizontal solar irradiance data from a network of Turkish meteorological stations was used to calibrate the model function. The predictions are compared with the solar data available in literature for Turkey. The advanced simple new model is utilized in open source computer program and has the potential to be adapted to other countries.
Natural Language Complexity and Machine Learning

Eventhough complexity is a central notion in linguistics, until recently, it has not been widely researched in the area. During the 20th century, linguistic complexity was supposed to be invariant. In general, recent work on language complexity takes an absolute perspective of the concept while the relative complexity approach –although considered as conceptually coherent– has hardly begun to be developed. In this paper, we introduce machine learning tools that can be used to calculate natural language complexity from a relative point of view by considering the process of first language acquisition.
Learning without borders: old challenges, new realities

This paper argues that the Trump phenomenon is not an anomaly but rather a predictable stage of the waning of US power. The United States has enjoyed military and economic dominance of the world since the early twentieth century when it gained control of the massive Third World colonial regions of the world. We must regard education as the human right of all people, free to develop minds of their own and to run their own affairs even as they recognize the importance of learning to live together in association with others. Childhood and growing up should shimmer with creativity and joy, not drudgery, fear, and punishment. An expansive curriculum of liberation would be based on student questions and inquiry, community needs, and an invitation to read the world as we read the word.
Real-Time Train Detection Based on Improved Single Shot MultiBox Detector

Autonomous environmental perception can be used in urban rail transit to extend the driver’s view. By installing cameras in the front of the train, the running line ahead can be detected. With the help of deep learning algorithm, drivers can identify trains at a long distance. However, complex environment makes the algorithm less robust to the identification of small targets. Therefore, the real-time and accuracy of front-train detection needs to be improved. In this paper, an improved Single Shot MultiBox Detector (SSD) algorithm is proposed. Compared with traditional image recognition method and original SSD, this method has higher accuracy in detection of the train, especially the small one. Moreover, it processes the images faster than traditional method. Experiments show that our method is very robust for the train detection in various illumination environment such as shadow, reflection, glare and high noise, and it reaches 95.38% mean average precision (mAP) and 26.3 frames per second (FPS) on our self-made dataset.
Field Information Recommendation Based on Context-Aware and Collaborative Filtering Algorithm

Personalized recommendation technology is a valid way to solve the problem of “information overload”. In the face the complexity of agricultural field information and problems of farmers’ preference prediction accuracy which is not high, this paper proposes a kind of recommendation algorithm based on context-aware and collaborative filtering (CACF). The algorithm constructs the “user-item-context” 3D user interest model which contains the context information. Through calculating context similarity and adopting pre-filtering paradigm, the 3D model is reduced to “user-item” 2D model. By computing item similarity, it can predict the item rating and generate recommendations. The CACF was applied on the field information recommendation. The experimental results show that the CACF can accomplish higher recommendation precision and efficiency compared with the traditional User-based collaborative filtering algorithm (UBCF), Slope one algorithm (SLOA).
Universities In The Knowledge Society: Models Of Generative Learning Environment

This work proposes a theoretical approach to the problem of designing the creativity-active and cognition-enriched environments of a modern university that are intended for education of professionals capable of producing knowledge, their materializing and integrating into life of the society. It is based on the idea of generativity that they are a prompting agent to cognition knowledge, creation of new knowledge, and its socio-economic application. This approach is in opposition to the tradition of treating the learning environment as an adaptive phenomenon. The empirical and theoretical material summarized in this paper is collected as a result of studies of cognitive environments at universities, including in the scientific and cognitive space of the “Step into the Future” Program - one of the most powerful systems of research education in present-day Russia. As a result of completed studies, the concept of generative learning environment at a research-type university and its constructional and creative models are developed. The constructionalmodel is presented in the form of a learning-scientific innovation environment containing components of structurally complex epistemic surroundings. The creative model is described as a system of creative spaces of a cognitive-generative type. Key points of the methodology used in the structural-functional analysis of creative spaces at the university, that has been verified in practice at the Bauman Moscow State Technical University are defined. A conclusion is drawn that a modern university is structurally and functionally complex, and its learning environment should be formed as a generative rather than an adaptive system.
Geological, fluid inclusion and isotopic characteristics of the Gardaneshir Zn–Pb deposit, Central Iran

Gardaneshir Pb–Zn deposit is hosted by dolomitic carbonates which is located in the SW Ardestan, central Iran. Ore body is stratabound type in this deposit. Primary ores in this type are composed of sphalerite, galena, barite and quartz with massive, banded, veined and disseminated structures. Evaluation of ore-grade at the Gardaneshir Pb-Zn deposit, based on chemical analysis which indicates average of 4.35% Pb, 0.17% Zn, 20 ppm Ag in form of galena, sphalerite, minor cerussite and smithsonite occurred along brecciated and silicified fractures. Based on studies in gangue minerals, liquid-rich two phase (L+V) inclusions as predominant types were recognized. These types of inclusions are homogenized into liquid state with ranges of TH and related salinities as 78-183 NaCl wt% and 216-283 C, respectively. These microthermometric data reflect the nature of two populations of fluid inclusions originating from different source. Furthermore; the range δ34S from -0.6 ‰ to -20.4‰ that have been extracted by galena can be an evidence of bacterial sulfate reduction in a subsidence sedimentary basin. This study suggests that the Gardeneshir Pb–Zn deposit is an epigenetic, thrust fold-controlled and stratabound deposit with fluids and metals derived via the Triassic sedimentary strata.
Analysis on the Governance Path of Financial Fraud of Listed Companies from the Perspective of New Media

The issue of financial fraud of listed companies has been frequently exposed in the media, which has caused wide public concern. Financial fraud of listed companies will not only greatly harm the interests of investors, but also reduce the investment enthusiasm of shareholders, and will hinder the standardization of securities industry. Although the operation and development of securities industry is gradually normalized and institutionalized, and relevant laws and regulations are also gradually improved, there are still many listed companies with a sense of luck and knowledge of law violations. In order to prevent this phenomenon continue, social networks, media has become the important means of external management mechanism, this article analyze the financial fraud of listed company under the new media sphere of governance path.
Biometry Investigation of Malaria- Disease, Mortality and Modelling; an Autoregressive Integrated Approach

Malaria is an urgent public health priority. Malaria and the costs of treatment trap families in a cycle of illness, suffering and poverty. Today, half of the world population is at risk. The study intended mainly to model and forecast the malaria mortality rate for the coming years. The Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) was employed, parameters were estimated and several diagnostic tests were performed. Series of tentative models were developed to forecast the mortality rate based on minimum AIC and BIC values. Results: ARIMA (0,1,0) model was proved to be the best model for forecasting after satisfying the model assumptions. The forecasted results revealed a decreasing pattern of malaria mortality rate 2016 to 2022. Malaria Mortality was found to be on a decrease in the forecasted period. However, in order to zero mortality due to malaria from our society, government and health experts still need to put hands together to sanitize the system in terms of drugs manufacturing.
Resistance of the Point Randomisation Countermeasure for Pairings Against Side-Channel Attack

Pairing-based cryptography (PBC) has been significantly studied over the last decade, both in the areas of computational performance and in establishing security and privacy protocols. PBC implementations on embedded devices are exposed to physical attacks such as side channel attacks. Such attacks which are able to recover the secret input used in some PBC-based schemes are our main focus in this paper. Various countermeasures have consequently been proposed in the literature. The present paper provides an updated review of the state of the art countermeasures against side channel attacks against PBC implementations. We especially focus on a technique based on point blinding using randomization. Furthermore, we propose a collision based side-channel attack against an implementation embedding the point randomization countermeasure. This raises questions about the validation of countermeasures for complex cryptographic schemes such as PBC. We also discuss about ways of defeat our attack. This article is in part an extension of the paper [20] published at Secrypt 2017.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE STUDENT FACILITATOR AND EXPLANING UNTUK MENINGKATKAN HASIL BELAJAR IPS KELAS III SDN 192 PEKANBARU

The background of this study is the low grade III social studies learning outcomes of SDN 192 Pekanbaru with KKM with an average of 71.11. with the aim of improving social studies learning outcomes in grade III by applying the cooperative learning model type student facilitator and explaning. This study uses the Classroom Action Research (CAR) design which consists of four stages, namely planning, implementation, observation and reflection. The subjects of this study were 27th grade A students consisting of 16 males and 11 females. The results showed that the classical completeness in the first cycle was 66.67% which had an increase in the second cycle of 85.19%. Teacher activities increased at each meeting, namely 75.00%, 83.33, 87.50% and 95.83%. Likewise, student activity experienced an increase in each of which was 70.83%, 79.16%, 91.66% and 95.83%. The average basic score to the first cycle increases by 1.56% and the base score to the second cycle increases by 21.35%. Based on the results of the research that has been carried out it can be concluded that the application of cooperative learning model type student facilitator and explaning can improve the learning outcomes of social studies class III SDN 192 Pekanbaru.
Supporting Factors of Development School Library Based on Information Technology

The existence of a school library is a must. Based on the National Education Standards, eachschool is required to have a library. In its management, the library must be managed byappropriate management personnel and competent in their fields. In line with thedevelopment of science and technology that continues to develop school libraries need to bemanaged and utilized for the benefit of education through an appropriate forum, namely theschool library. Descriptive research method with a qualitative approach. Collecting datathrough observation, interviews and document analysis. Subjects in this study were schoolprincipals, library heads, library staff, visitors, events, facts, documents and various forms ofefforts, school library programs or activities. The object in this study is the development of aschool library based on information technology carried out in SMAN 2 and SMA 3 KotaPadang. The results showed that the factors influencing the development of information technology-based school libraries in State High School 2 and State 3 High School in PadangCity could be identified into four, namely human resources, information resources, funding,and infrastructure in the school library.
What is Kidnap for Ransom Insurance?

Kidnap insurance comes with stringent conditions and access to a range of services for kidnap prevention and kidnap resolution. The market is highly concentrated: there are only around twenty underwriters in this niche business area and all of them operate syndicates at Lloyd’s of London. They have created common protocols to manage adverse selection and moral hazard among the insured and to order transactions across the legal/extra-legal boundary. These protocols are set, monitored, adapted, and enforced by a range of experts. The community of experts is small and cohesive and communication networks are dense. We observe a vibrant market for outstanding governance specialists. Good reputations and successful innovations ensure high incomes, but failures quickly lead to expulsion from the circle of trusted providers.
An Experimental Study on the Ply Number of Straight-line Drawings

The ply number of a drawing is a new criterion of interest for graph drawing. Informally, the ply number of a straight-line drawing of a graph is defined as the maximum number of overlapping disks, where each disk is associated with a vertex and has a radius that is half the length of the longest edge incident to that vertex. This paper reports the results of an extensive experimental study that attempts to estimate correlations between the ply numbers and other aesthetic quality metrics for a graph layout, such as stress, edge-length uniformity, and edge crossings. We also investigate the performances of several graph drawing algorithms in terms of ply number, and provides new insights on the theoretical gap between lower and upper bounds on the ply number of k-ary trees.