Reviewerly/exHarmony huggingface dataset:
Telling Eyes: Linking Eye-Tracking Indicators to Affective Variables

Research has tried to link affective states to different eye-tracking measures with varying success. Although previous research has proposed that using live eye-tracking data for video games could considerably enhance adaptive gameplay techniques' capabilities, little research has been done. The main goal of the current study was to link eye-tracking indicators to affective states (confusion, frustration). Thirty-nine participants were recruited to play a riddle game in virtual reality similar to the game "Portal", with levels differently manipulating affective states in a within-study design. Participants did self-rate confusion and frustration retrospectively watching a recording of their gameplay. It was shown that different levels of frustration and confusion could be evoked. Hypotheses about the relationship between confusion/frustration and eye-tracking data could only be partially supported. Analyses revealed various possible reasons for contradictory results and several implications for future research, including aspects of eye-tracking indicators and the underlying eye-tracking technology.
A Visual Ethnographic Study at Cultural Spaces to Identify Character Creation Opportunities

Anthropology, defined as the scientific study of human development and societies, can play a critical role in the design of (video) game mechanics and aesthetics. Especially religion and culture are seen as fundamental components in building communities, societies, and human evolution. In this paper, we present (1) a case study using UX methods such as ethnography, grounded theory, participatory design, and user interviews to develop and evaluate design spaces generated from cultural spaces, (2) this design space in the form of paradigms and syntagms and (3) how this design space can assist in the construction of novel and culturally sensitive characters.
The role of sociological research in grant activities

Every year the share of scientists who participate in grant activities increases. Participation in grants becomes a priority in the professional activity of a scientist. Despite the availability of publications on the topic of grants, there are practically no studies on highlighting the place of sociological research in grant activities. The purpose of this study is to show the role of sociological research in the development of projects and typical mistakes in the preparation of applications. Research methodology - the main method was desk research. To solve particular problems, a content analysis of Russian and foreign literature on sociological research and grant activities was used. As a result of the study, the legal framework governing grant activities, the main funds of grantors, the main provisions of the grant application, and the specifics of using sociological research in grant activities were considered. The results of the study can be applied in the field of social and youth policy, in the development of methodological and practical recommendations for the development of applications for grants. The materials of the study formed the basis of the Retraining Program on "Organization of work with youth", advanced training courses "Research work".
Longest bordered and periodic subsequences

We present an algorithm computing the longest periodic subsequence of a string of length n in O(n7) time with O(n3) space. We obtain improvements when restricting the exponents or extending the search allowing the reported subsequence to be subperiodic down to O(n2) time and O(n) space. By allowing subperiodic subsequences in the output, the task becomes finding the longest bordered subsequence, for which we devise a conditional lower bound.
Comparative Analysis of the Main Directions of Formation and Development of Higher Education in China and Russia

In the conditions of international integration of national economies, the construction of education systems is also characterized by a focus on the establishment of uniform international standards. At the same time, each country has its own national characteristics, which are reflected in the construction of the education system, the implementation of training specialists in various fields of activity. Currently, there is an expansion of areas of cooperation between Russia and China. Cooperation takes on new forms and new aspects of interaction. The education system of Russia in the context of changing socio-economic development and the situation in the international arena, changes in interaction with various countries, requires reform of higher education, since it underlies the training of specialists capable of representing the interests of the country in the international arena. The development of international mobility programs for modern higher education in Russia and China makes the problem of studying the specifics of educational conditions in different countries and cultures extremely relevant. The countries have common borders and long-standing ties. They are characterized by interaction in all areas and directions: cultural, socio-economic, political. China is currently actively developing in the field of technology. This makes it possible to use the experience of training specialists, the methodology of organizing training in higher educational institutions and the development of curricula for higher professional education. The educational process should not only contribute to the training of specialists capable of developing international cooperation between Russia and China, but also form an objective idea of the ideological, intellectual, historical and cultural potential of the peoples of these states.
High Technology in the Sphere of Mental Production of Personality

High technology exists not only in the field of IT. They also exist in the sphere of the mental production of personality (MPP). As long as the technology of material change in the world dominates the technology of change in the inner world of man, our future is war. Talking about these technologies is not only possible, but also essential. The technologies of mental production are understood as technological support and ensuring the transition from an unconscious type of information management to a conscious one (from an individual to a person). The technology of such production (personocentrism), which can change the quality of thinking, the author connects with the study of fiction
MVMNET: Graph Classification Pooling Method with Maximum Variance Mapping

Graph Neural Networks (GNNs) have been shown to effectively model graph-structured data for tasks such as graph node classification, link prediction, and graph classification. The graph pooling method is an indispensable structure in the graph neural network model. The traditional graph neural network pooling methods all employ downsampling or node aggregating to reduce graph nodes. However, these methods do not fully consider spatial distribution of nodes of different classes of graphs, and making it difficult to distinguish the class of graphs with spatial locations close to each other. To solve such problems, this article proposes a Maximum Variance graph feature Multistructure graph classification method (MVM), which extracts graph information from the perspective of graph nodes feature and graph topology. From the nodes feature perspective, we enlarge the variance between different classes while maintaining the variance between the same class of data. Then the hierarchical graph convolution and pooling are performed from a topological perspective and combined with a CNN readout mechanism to preserve more graph information to obtain a graph-level representation with strong discrimination. Experiments demonstrate that our method outperforms several number of state-of-the-art graph classification methods on multiple publicly available datasets.
Premium control with reinforcement learning

Abstract We consider a premium control problem in discrete time, formulated in terms of a Markov decision process. In a simplified setting, the optimal premium rule can be derived with dynamic programming methods. However, these classical methods are not feasible in a more realistic setting due to the dimension of the state space and lack of explicit expressions for transition probabilities. We explore reinforcement learning techniques, using function approximation, to solve the premium control problem for realistic stochastic models. We illustrate the appropriateness of the approximate optimal premium rule compared with the true optimal premium rule in a simplified setting and further demonstrate that the approximate optimal premium rule outperforms benchmark rules in more realistic settings where classical approaches fail.
Reliability of Cryptocurrencies and the Central Bank Digital Currency Architecture

Any technological innovation is as reliable as the technology itself. The block chain technology, which is the basis of cryptocurrency, runs on a decentralised distributed ledger system which technically promises immunity from any government interference. The popularity of this notion and its variations have forced governments to think about a central bank digital currency. This chapter has been written with the objective of identifying whether lesser reliability of cryptocurrencies can be overcome by central bank digital currencies and issues involved with anonymity. While cryptocurrency ensures no counterfeiting, the feature of anonymity still carries the risk of being used for illegal activities. However, it is now perceived as the future of money. Cryptocurrencies do not create any financial liability but have been adopted as a store of value and medium of exchange. They are also used for micro-payments and decentralised applications. All these issues require a critical assessment of the reliability of cryptocurrencies as against the digital currency backed by central banks.
Experience in using computer programs as part of the bloodstain

Bloodstain examination is performed when it is necessary to assess the trace pattern at the scene of the incident and determine the features of the mechanism of their formation. Examining multiple blood traces is a time-consuming and lengthy process. Simultaneously, in foreign countries, it has already been partially switched to automatic mode using computer programs. The development of the computer program Autodesk AutoCAD in Russia has enabled the use of a specialized application, Elcovision Forensic, with which the location of the blood source, distance to it, and size are evaluated using marked traces of blood recorded at the scene, as well as three-dimensional models that can be built in software or used objects already built in other three-dimensional reconstruction programs.&#x0D; This study presents the experience of using the computer program Elcovision Forensic on two expert practice examples. In both cases, according to the traces of blood recorded at the scene, it was necessary to reconstruct individual stages of the incident. In one of the cases, the possibilities of working with three-dimensional models produced from photographs of the scene are shown. In the second case, blood traces were analyzed directly from digital photographs.&#x0D; The main stages of work and functions of the computer program are shown in the examples of bloodstain examinations. The use of Elcovision Forensic in the framework of specific examinations enabled solving of situational issues and establishing individual damage circumstances.
A Revolutionary Impact on Cryptocurrency

Cryptocurrency is the form of currency that resides digitally or virtually. The transaction can be secured by using cryptography. Since the decentralized system is applied to record the transactions the cryptocurrency does not have a central issuing or regulating authority. Besides, it explains the perception of blockchain technology. Among the several metrics in the market cap, cryptocurrency endures as the number one digital currency in the world. In the past decade, with novelty and a collective market capitalization the size of the cryptocurrency space has grown exponentially. Cryptocurrencies desire determined and secure mining methods. In this study, we survey and analysed the current mining. In this study, we survey and compare the current mining approach applied to the extensive Cryptocurrencies. We assess the strengths, deficiencies, and viable threats to each mining approach. On the whole, corresponding efficacy, assurance and the site show the exceptional threats and strengths are delineated.
Cryptocurrencies on a New Rise

Cryptocurrency is a widely used word. As e-commerce becomes increasingly important, more Techno-Indians are buying online. Bitcoin was created in 2009 as an internet currency. Financial institutions bridged the buyer-seller divide. They processed trustworthy e-payments. Even if the gap was filled, buyer and seller trade operations remained dependent. This research examines cryptocurrency's influence on Indians. This reliance helped create Cryptocurrency. This will help India advance in e-commerce. Cryptocurrency will help Indians, but not necessarily the country.
Shotgun assembly threshold for lattice labeling model

We study the shotgun assembly problem for the lattice labeling model, where i.i.d. uniform labels are assigned to each vertex in a d-dimensional box of side length n. We wish to recover the labeling configuration on the whole box given empirical profile of labeling configurations on all boxes of side length r. We determine the threshold around which there is a sharp transition from impossible to recover with probability tending to 1, to possible to recover with an efficient algorithm with probability tending to 1. Our result sharpens a constant factor in a previous work of Mossel and Ross (IEEE Trans Netw Sci Eng 6(2):145–157, 2019) and thus solves a question therein.
Compression of images with a mathematical approach based on sine and cosine equations and vector quantization (VQ)

Compressing the image causes less memory to be used to store the images. Compressing images increases the transmission speed of compressed images in the network. Vector quantization (VQ) is one of the image compression methods. The challenge of the vector quantization method for compression is the non-optimization of the codebooks. Codebook optimization increases the quality of compressed images and reduces the volume of compressed images. Various methods of swarm intelligence and meta-heuristics are used to improve the vector quantization algorithm, but using meta-heuristic methods based on mathematical sciences has less history. This paper uses an improved sine–cosine algorithm (SCA) version to optimize the vector quantization algorithm and reduce the compression error. The reason for using the SCA algorithm in image compression is the balance between the search for exploration and exploitation search by sine and cosine functions, which makes it less likely to get caught in local optima. The proposed method to reduce the calculation error of the SCA algorithm uses spiral trigonometric functions and a new mathematical helix. The proposed method searches for optimal solutions with spiral and snail searches, increasing the chances of finding more optimal solutions. The proposed method aims to find a more optimal codebook by the improved version of SCA in the VQ compression algorithm. The advantage of the proposed method is finding optimal codebooks and increasing the quality of compressed images. The proposed method implementing in MATLAB software, and experiments showed that the proposed method's PSNR index improves the VQ algorithm's ratio by 13.73%. Evaluations show that the proposed method's PSNR index of compressed images is higher and better than PBM, CS-LBG, FA-LBG, BA-LBG, HBMO-LBG, QPSO-LBG, and PSO-LBG. The result shows that the proposed method (or ISCA-LBG) has less time complexity than HHO and WOA compression algorithms.
Survey and analysis of the data policy of the journals listed in the Excellence Action Plan for China's STM Journals Program for example

As an important output of scientific research, scientific data play an important role in scholarly communication. The establishment of the data policy of STM journals is of great significance to promote the data sharing, data reuse, data citation and scientific research evaluation. In this paper, by means of literature research and online research and based on the information published on journal websites, we surveyed the data policies operation status of 302 STM journals that were selected as the leading journals, key journals, and echelon journals in the Excellence Action Plan for China's STM Journals. Then we statistically analyzed the data policy setting, and the features of the policy, such as classification types, data availability, and data citation. The survey shows the current practice progress of China’s high-level STM journals related to scientific data publishing. Among the statistical journal sources, 81.82% of leading journals, 62.07% of key journals, 34.67% of echelon journals and 69.23% of high-starting new journals have formulated relevant data policies. According to survey results, the publication of data in STM journals has been widely recognized as one of the effective ways to promote scientific data sharing. Presently, all major publishing institutions have developed relevant data policies. Compared with the international counterparts, the data publishing of China’s STM journals still has a long way to go in industry recognition and framework strategy, and it is urgent to develop a universal data policy framework for different journals and publishers.
Cooperative Navigation for Heterogeneous Air-Ground Vehicles Based on Interoperation Strategy

This paper focuses on the cooperative navigation of heterogeneous air-ground vehicle formations in a Global Navigation Satellite System (GNSS) challenged environment and proposes a cooperative navigation method based on motion estimation and a regionally optimal path planning strategy. In air-ground vehicle formations, unmanned ground vehicles (UGVs) are equipped with low-precision inertial navigation measurement units and wireless range sensors, which interact with unmanned aerial vehicles (UAVs) equipped with high-precision navigation equipment for cooperative measurement information and use the UAVs as aerial benchmarks for cooperative navigation. Firstly, the Interacting Multiple Model (IMM) algorithm is used to predict the next moment’s motion position of the UGVs. Then regional real-time path optimization algorithms are introduced to design the motion position of the high-precision UAVs so as to improve the formation’s configuration and reduce the geometric dilution of precision (GDOP) of the configuration. Simulation results show that the Dynamic Optimal Configuration Cooperative Navigation (DOC-CN) algorithm can reduce the GDOP of heterogeneous air-ground vehicle formations and effectively improve the overall navigation accuracy of the whole formation. The method is suitable for the cooperative navigation environment of heterogeneous air-ground vehicle formations under GNSS-challenged conditions.
Complex-surface 360° panoramic measurement using mirror-assisted multiview 3D laser scanning system

In this paper, we propose a low-cost, easy-to-implement yet robust panoramic 3D profile reconstruction system, including two plane mirrors and a conventional 3D triangulation laser scanner (TLS), for full-surface reconstruction and reverse molding of complex samples. With the help of two plane mirrors, the TLS can simultaneously capture the laser line patterns from three perspectives (i.e., two virtual perspectives in the plane mirrors and one real perspective), thus enabling 3D reconstructions of the front surface and two rear surfaces of the sample. After precise calibration of the plane mirrors, the sample surfaces reconstructed from three different perspectives can be transformed into a common global coordinate, thus achieving a straightforward 360-deg full-surface profile reconstruction. Real experiments were performed to verify the proposed method, including panoramic profile reconstruction of the standard sphere, complex-shaped surfaces and shiny surfaces, in which the reconstruction deviation of the standard sphere was only 0.4293% and RMSE was 94.595 μm. Our experiments demonstrate that the proposed method can perform accurate 3D reconstruction of samples with complex surfaces and different materials, providing a cost-effective strategy for achieving panoramic 3D profile measurements.
High-Immersion Virtual Reality-Mediated Intercultural Virtual Exchange

Social virtual reality (VR) is a powerful tool to enrich foreign language (FL) learning processes in collaborative settings. Given the importance of situated, contextual, and interactional learning practices in FL learning, social VR has attracted the attention of language educators. Despite its potential, it has received little attention in research and is underused in FL education. In this study, students in international dyads (Germany – the Netherlands) collaborated in VR using Spanish as a lingua franca, carrying out tasks in a social VR app using high-immersion head-mounted VR headsets. Engagement, students' willingness to communicate, and sense of presence in the social VR environment were investigated. Qualitative and quantitative data included pre- and post-surveys, reflection diaries, video-recordings of the interactions and focus group interviews. The findings show willingness to communicate in social VR varied among students, sense of presence differed among students, students displayed varying degrees of engagement, and some VR features eased student anxiety.
Impact of Chinese College Students’ Professional Identity on Their Academic Achievement: Career Maturity as a Mediator

&lt;p style="text-align:justify"&gt;This study investigated college students’ career maturity as a mediator of the effect of professional identity on academic achievement. The researchers developed a structural equation model and a research hypothesis using the Chinese college students’ professional identity scale, career maturity scale, and academic achievement scale. After experts’ revision and confirmatory analysis, the 3 scales had sufficient reliability, validity, and fit. The researchers distributed electronic questionnaires to students in 4 universities in Jilin Province, China, and participants responded using 5-point Likert-type scales. The researchers collected 1,104 valid questionnaires. According to the analysis, college students’ professional identity is a positive predictor of their academic achievement, and career maturity partially mediates the influence of professional identity on academic achievement. Therefore, improving Chinese college students’ professional identity may improve their academic achievement, and professional identity can have a positive effect on academic achievement through career maturity. University administrators and teachers should enhance the career maturity of college students and promote their professional development.&lt;/p&gt;