Reviewerly/exHarmony huggingface dataset:
Do evaluation functions really improve Monte-Carlo tree search?

Monte-Carlo tree search (MCTS) algorithms play an important role in developing computer players, especially for games for which good evaluation functions are hard to obtain, like Go. The performance of MCTS players is often leveraged in combination with online and/or offline knowledge, despite the lack of game-theoretic guarantees. For the games for which we already have good evaluation functions, the use of evaluation functions in MCTS algorithms achieved a success. However, the effect of evaluation functions on the performance of MCTS algorithms have not been investigated well, especially in terms of the quality of evaluation functions. In this study, we try to address this issue by using Othello (Reversi) as the target game. Based on the evaluation function used in Zebra, a top-level open-source player, we design 15 variants of evaluation functions and use them in three ways in MCTS algorithms. We conduct a set of experiments exhaustively and analyze the effect of evaluation functions in MCTS algorithms.
Exploring User Experience on Mobile Library Service by Cognitive Mapping

The ubiquitous application of mobile web technology is having a significant impact on education and is changing the way of learning and teaching. With this evolving technological change, new ways of exploring information behaviour and user experience with mobile devices are needed. This research aims to explore user experience (UX) by using an innovative ethnographic approach-cognitive mapping, trying to investigate this issue from an interpretivist viewpoint. A triangulation of log analysis, cognitive mapping and semi-structured interview is adopted to gain a comprehensive view of how users interact with mobile technology with a specific look into their experience on using the mobile library service.
Course “History &amp; Philosophy of Science” for Doctoral Programs in Education and Pedagogical Sciences

Russian pedagogical community has recently faced a new challenge generated by the introduction of emerging conceptual framework for doctoral education treated as the third level of higher education system. The framework for doctoral education covers some typical study programs such as “Methods &amp; technics of pedagogical research” as well as some new ones, including “Academic writing” and competence-based teaching for the traditional postgraduate training. Our argument concerns the course syllabus “History &amp; philosophy of science” aimed at developing the research skills of doctoral students in education. This course is an integral part of the emerging system for doctoral training in Russia. We analyze some philosophical foundations of contemporary pedagogical science, including logical empiricism, Popper’s falsifiability, Paradigm Thesis by Thomas Kuhn, science theories by Paul Feyerabend and Stephen Toulmin, as well as correspondence, pragmatic, conventional and coherent theories of truth. We examine the impact of philosophy of science on methodology of pedagogical education in the context of the history of pedagogical thought. Our conclusion is that despite their poor logical conditions, pedagogical science and research methods benefit from the ideas of philosophy of science that also contributes greatly to the subfield of pedagogical methodology. We seek to optimize the study program of doctoral training syllabus “History and philosophy of science” for doctoral students in education.
3D Layout encoding network for spatial‐aware 3D saliency modelling

Three‐dimensional (3D) [red, green and blue (RGB) + depth] saliency modelling can help with popular 3D multimedia applications. However, depth images produced from existing 3D devices are often with low quality, e.g. containing noises and holes. In this study, rather than relying on features or predictions directly derived from single depth images, the authors propose to encode deep layout features to facilitate the spatial‐aware saliency prediction. Specifically, they first generate coarse depth‐induced saliency cues which are careless of depth details. Then, to leverage the information of the high‐quality RGB image, they embed both low‐level and high‐level RGB deep features to refine the final prediction. In this way, they take both bottom‐up and top‐down cues together with spatial layout into account and achieve better saliency modelling results. Experiments on five public datasets show the superiority of the proposed method.
THE IMPACT OF PROACTIVE-PERSONALITY ON INNOVATIVE WORK BEHAVIOR AND WORK ENGAGEMENT IN THE UAE AVIATION INDUSTRY.

The objective of this research is to examine the relationship between Proactive Personality, innovative work behavior, and work engagement. The sample consists of 220 respondent managers in the Aviation Industry in the UAE. Results of Structural Equation Modelling using SmartPLS revealed that there are significant relationships between Proactive Personality and innovative work behavior, and between Innovative Work Behavior and Work Engagement.
Earthquake Magnitude Estimation Using a Total Noise Enhanced Optimization Model

In this paper, a heterodyne laser interferometer, which is used as a sensor for high-precision displacement measurement, is introduced to measure ground vibration and seismic waves as a seismometer. The seismic wave is measured precisely through the displacement variation obtained by the heterodyne laser interferometer. The earthquake magnitude is estimated using only the P-wave magnitudes for the first 3 s through the total noise enhanced optimization (TNEO) model. We use data from southern California to investigate the relationship between peak acceleration amplitude ( P d ) and the earthquake magnitude ( M g ). For precise prediction of the earthquake magnitude using only the P d value, the TNEO model derives the relation equation between P d and the magnitude, considering the noise present in each measured seismic data. The optimal solution is obtained from the TNEO model based objective function. We proved the performance of the proposed method through simulation and experimental results.
Towards a graph model application for automatic text processing in data management

Based on the two models, "bag-of-words" and graph model, the paper deals with the development of methods for automated text analysis with the purpose to classify natural language texts and randomly generated documents. Within "bag-of-words" model, the authors have found that the primary Zipf's law, which states that given some corpus of natural language utterances, the frequency of any word is inversely proportional to its rank in the frequency table, does not hold continuously true. Modifications to this law have been proposed that enable us to classify texts more efficiently. Using the graph model of the text, which takes into account the occurrence of two random words in a sentence, and the median degree of the vertices of the graph, the authors demonstrate that it can be applied to differentiate meaningless texts from meaningful ones even though the word lists of the two texts are identical.
Gravel Image Auto-Segmentation Based on an Improved Normalized Cuts Algorithm

The study of the grain-size distribution of gravels is always an important and challenging issue in stratigraphy and morphology, especially in the field of automated measurement.It largely reduces many manual processes and time consumption.Precise segmentation method plays a very important role in it.In this study, a digital image method using an improved normalized cuts algorithm is proposed for auto-segmentation of gravel image.It added grain-size estimation, and used the feature vector based on color.It has made great improvements in many respects, especially in accuracy of edge segmentation and automation.Compared with manual measurement methods and other image processing methods, the method studied in this paper is an efficient method for precisely segmenting gravel images.
Granulometric Analysis of Rajmahal Inter-Trappen Sedimentary Rocks (Early Cretaceous), Eastern India, Implications for Depositional History

Rajmahal trap along with its Inter-trappean sedimentary rocks is found exposed in the eastern part of India (24˚00'E -25˚15'N; 87˚20'E -87˚15'E).Ten representative samples of Inter-trappean sandstone selected from the study area have been subjected to granulometric analysis.The result of the grain size analysis indicates that these sandstone specimens are very fine to fine grained with unimodal grain size distribution.They are dominantly fine skewed and generally mesokurtic in nature.The linear discriminant function plots of various grain size parameters suggest that these sandstones appear to have been deposited either in shallow marine or lacustrine environment.On multigroup multivariate discriminant functions V1 -V2 diagram majority of the samples fall in the beach depositional environment, indicating that most of the sediments were reworked by wave processes before deposition.The C-M pattern diagram shows that the sediment deposition took place in beach environment by rolling or suspension of sediments; hence the clastics were deposited in low energy condition.
A Chaotic Cryptosystem using Conjugate Transcendental Fractal Function

A cryptosystem designed by using the combined features of fractal function and chaotic map, provides a secure and real time encryption environment.In this paper, a 2D-chaotic map is employed to create a chaotic key sequence to comply with the requirement of the key sensitivity.The set of initial values of the chaotic map has derived by iterating a conjugate transcendental fractal function (CTFF) i.e. +1 = (sin( 2 )) + .The fractal function produced three sets of initial values after iterating it using Picard, Mann, and Ishikawa iteration methods.Resultantly, three chaotic key sequences will be generated by executing 2D Sine Tent composite map (2D-STCM) for each set of initial values.Afterwards, perform zigzag scanning to each key stream to decorrelate the adjacent image pixels and combined them using XOR operation.By using a different summation of plain image pixels for each pixel encryption, improves the cryptosystem resistant against known/chosen-plaintext attack.Moreover, an encryption of a plain image pixel achieved using corresponding key sequence pixel and a previously ciphered pixel value.The proposed encryption/decryption scheme is evaluated using key space analysis, key sensitivity analysis, differential analysis and other statistical analyses.The performance result indicates the given scheme is efficient and reliable to be used with great potential for a secure image transmission application.
An Approach for Migrating Legacy Applications to Mobile Interfaces

Mobile applications changed unexpectedly people life and business models around the world. Nevertheless, there are old applications, called legacies, without adaptation to mobile devices, because this adaptation or migration have a considerable cost in dependence of software scope. Currently, most users bring constantly their smartphones and other devices with them, especially millennials. For that reason, some approaches try to solve this portabilization, generating certain improvements. However, in the majority of these solutions there is not a direct participation of users; do not consider their visual identity, analysis of feeling or mining of opinion. This paper proposes getting the behavior web application model with Markov heuristics from the widgets closeness matrix, prior to adaptation in order to include the user logic.
On Rijndael ByteSub Transformation

The first step in converting a plaintext to ciphertext by the famous Advanced Encryption Standard (AES), which is called Rijndael ByteSub Transformation, involves some operations: computing a multiplicative inverse, multiplying this multiplicative inverse by a specific matrix, and adding the result to a specific vector.The purpose of this research is to simplify these operations.This paper gives elegant techniques and presents the matrices multiplication as simple XOR operations, and the result is a simple, straightforward way finding the transformation.
Trusted Data’s Marketplace

This article presents a literature review and the discussion about the key concepts associated with data markets. Data markets have multiple centralized and decentralized approaches. The main problem is the trust and reliability of supplies, inflows, and suppliers. The proposed study object is the decentralized marketplace data supported by Blockchain technology to ensure confidence in the supply chain of data, in the actors involved in the market and the data sources. The application scenarios are proposed in a model with four levels, data provision, data delivery, rights management, and producer internal sources. That will be done with Blockchain technology, through contracting using smart contracts, the controlled delivery of data by the data producers, the management of flows of data, and access control to data.
Inclusão Digital como ferramenta ao envelhecimento ativo: um relato de experiência

Study of the experience report about an extensionist action of digital inclusion, developed with 12 women, age between 50 and 65 years old, recently literate and with chronic non-transmissible diseases. The objective of digital inclusion was to provide autonomy and bettercognitive development through the use of software and applications, in addition to a healthy mental aging and devoid of the risk of dementias.Based on Freire's problematic approach, of the qualitative method and analysis evaluative-comprehensive, performed between August-November/2018, twice a week and duration of
ANALYSIS OF THE USE OF THE HIGHLY EFFECTIVE IMPLEMENTATION OF THE SHA-512 HASH FUNCTIONS FOR THE DEVELOPMENT OF SOFTWARE SYSTEMS

Hashing functions play an applied and fundamental role in the current protection of programs and data by cryptography techniques. Typically, these security features transmit latency data at the same time, producing a small and fixed-size signal. Along with an avalanche-like growing volume of data requiring quick validation, the hash function throughput is becoming a key factor. According to scientific research published in the technical literature, one of the fastest implementations of SHA-512 is the SHA-2 implementation, which provides bandwidth of the algorithm over 1550 Mbps, but is also faster such as the Whirlpool where bandwidths exceed 4896 Mbps At present, many papers have been published discussing the hardware implementation of the SHA-512. All considered implementations are usually aimed at high bandwidth or efficient use of computing resources. In general, it is impossible to know in advance which choice of functional design for this component will be the best in achieving the specific design purpose. After implementation and implementation of the algorithm with different components, it was possible to carry out system analysis and comment on the quality of this implementation, since the goal relates to the achievement of high bandwidth or low overall computing power. We systematized the results of all the calculations performed and analyzed each implementation separately. A detailed description of the stages of the expansion and compression of messages. Similarly, at different stages and refers to the stage of update hash, but its implementation is not always clearly defined. One of the reasons to skip the details of the previous stage and the stage of the hash update is that it assumes that these steps will be implemented in such a way as to minimize the negative impact on it. The data mixing function in the article does not claim to be the highest bandwidth of the algorithm, but it proved to be sufficiently stable for third-party decoding. Summarizing our research in the field of cryptographic protection by various methods, we can state that the application developed on the basis of the SHA-512 algorithm application software corresponds to the following technical parameters, namely verification of the integrity of programs and data and a sufficiently reliable authentication algorithm.
Leveraging Mobile Augmented Reality Devices for Enabling Specific Human Behaviors in Design and Constructability Review

Augmented reality (AR) may support effective design and constructability reviews by providing both the physical exploration benefits of traditional physical mock-ups and also the flexibility benefits of building information models (BIM). Many different types of mobile computing devices can present the same technical AR environment, but it remains unclear how the different properties of the devices impact user behaviors in an architecture, engineering, and construction (AEC) context. This study tasked users with completing the same design review task, using the same technical AR environment but viewed through different commercially available mobile AR devices. Specifically, 32 participants were tasked with collaboratively laying out and reviewing a simple office design using the randomly assigned AR device. Results showed 11 different behaviors were observed and different mobile computers elicited different behaviors. To add further context to the findings, the results were compared to those of a similar, previously published study where users completed a design review with the option to choose one or multiple AR devices. For several types of behaviors, including alternative design formation, navigation of design, and problem solving, no differences were observed between either groups or based on specific AR devices. Conversely, for other behaviors, including explanative, decision making, and discussions with team members, participants did not engage in these behaviors when they could self-select devices, but these behaviors were observed when participants were forced to use a particular device. This suggests that, for some applications, while users may tend to prefer one type of AR interface, they are fully capable of performing the same types of design review tasks with any AR device. The novelty of this work is in demonstrating how the context in which devices are applied impacts the ways in which they are used. This may help future practitioners and researchers to strategically choose to use, or not to use, certain types of devices to elicit specific behaviors.
The potential of university libraries for building information competence

The authors examine the libraries role in building information competence of university students and the faculty. The academic libraries’ resources, their educational function of building information competence of the future professionals are discussed. Traditional teaching methods are analyzed, e. g. lectures, demonstrations, training workshops, consultations, printed and interactive instructive and methodological materials. Based on the reported statistical data, the authors conclude on the need to use every teaching method in the future. The libraries’ web-sites are examined as an educational site comprising teaching aids and materials. Interaction with social media is analyzed; the authors argue that the libraries should attract students, the faculty, and other university professionals via the social media. The experience obtained within the grant educational project “Publish right! (The role of the academic libraries in increasing publication activities of the university’s academic staff)” is discussed. Also the experience of the South Ural State University Scientific Library in building information competence related to various information activities of the faculty, students, and professional staff, is examined.
Adaptive Context-Aware and Structural Correlation Filter for Visual Tracking

Accurate visual tracking is a challenging issue in computer vision. Correlation filter (CF) based methods are sought in visual tracking based on their efficiency and high performance. Nonetheless, traditional CF-based trackers have insufficient context information, and easily drift in scenes of fast motion or background clutter. Moreover, CF-based trackers are sensitive to partial occlusion, which may reduce their overall performance and even lead to failure in tracking challenge. In this paper, we presented an adaptive context-aware (CA) and structural correlation filter for tracking. Firstly, we propose a novel context selecting strategy to obtain negative samples. Secondly, to gain robustness against partial occlusion, we construct a structural correlation filter by learning both the holistic and local models. Finally, we introduce an adaptive updating scheme by using a fluctuation parameter. Extensive comprehensive experiments on object tracking benchmark (OTB)-100 datasets demonstrate that our proposed tracker performs favorably against several state-of-the-art trackers.
nonreach – A Tool for Nonreachability Analysis

We introduce nonreach, an automated tool for nonreachability analysis that is intended as a drop-in addition to existing termination and confluence tools for term rewriting. Our preliminary experimental data suggests that nonreach can improve the performance of existing termination tools.
Analysis and Attribution of the Manuscripts from the Library of Princes Romodanovsky (17th — 18th centuries)

The paper deals with the search and study of the manuscripts from the medieval library of the princes Romodanovsky, preserved in parts in various libraries and archives of Russia. The purpose of this research is to identify and attribute the materials from the collection of the princes Romodanovsky in the holdings of the scientific-research Department of manuscripts of the Library of the Russian Academy of Sciences (BAN). Russian historians M.E. Bychkova, A.L. Khoroshkevich and Y.V. Ankhimyuk made the assumptions that separate manuscripts (the genealogical book of M.G. Romodanovsky, the historical digest “The book of cases”, etc.) belonged to the library of princes Romodanovsky. However, until now, these sources in historiography were not considered in the complex, and there was no idea about the existence of the significant volume of books of ancestral library. Within the scope of investigation, the author reviewed and analysed the best part of manuscript collections of count M.G. Golovkin, count A.I. Osterman and other courtiers, seized in 1741—1742 in the result of the charges of treason. Based on the materials from the BAN holdings in the St. Petersburg branch of the Archives of the Russian Academy of Sciences, the author restored the circumstances of transfer of the manuscript books from the Confiscation Commission to the Russian Academy of Sciences. The article describes that the great part of the manuscript collection of M.G. Golovkin library is made up of the medieval library of princes Romodanovsky, got there as a heritage of Ekaterina Ivanovna, the wife of count M.G. Golovkin and daughter of I.F. Romodanovsky. The study of the collections of other convicts showed that the Commission made serious mistakes in the description of the books. As a result, the significant part of the collection of M. Golovkin was attributed to the books of Osterman. Thus, in the scientific-research Department of manuscripts of the Library of the Russian Academy of Sciences the author identified and attributed more than 15 manuscripts of 17th — beginning of 18th century, which constituted the core of the ancestral library of princes Romodanovsky. The obtained results demonstrate the manuscript tradition of the ruling elite and its book culture in the new way. The paper used such methods as historical, comparative-historical, prosopographic, as well as a number of methods of auxiliary historical disciplines: source studies, historical bibliography, archival heuristics, archeography, palaeography and codicology.