Reviewerly/exHarmony huggingface dataset:
Improving Controllability of Educational Question Generation by Keyword Provision

Question Generation (QG) receives increasing research attention in NLP community. One motivation for QG is that QG significantly facilitates the preparation of educational reading practice and assessments. While the significant advancement of QG techniques was reported, current QG results are not ideal for educational reading practice assessment in terms of \textit{controllability} and \textit{question difficulty}. This paper reports our results toward the two issues. First, we report a state-of-the-art exam-like QG model by advancing the current best model from 11.96 to 20.19 (in terms of BLEU 4 score). Second, we propose to investigate a variant of QG setting by allowing users to provide keywords for guiding QG direction. We also present a simple but effective model toward the QG controllability task. Experiments are also performed and the results demonstrate the feasibility and potentials of improving QG diversity and controllability by the proposed keyword provision QG model.
Deterministic Guided LiDAR Depth Map Completion.

Accurate dense depth estimation is crucial for autonomous vehicles to analyze their environment. This paper presents a non-deep learning-based approach to densify a sparse LiDAR-based depth map using a guidance RGB image. To achieve this goal the RGB image is at first cleared from most of the camera-LiDAR misalignment artifacts. Afterward, it is over segmented and a plane for each superpixel is approximated. In the case a superpixel is not well represented by a plane, a plane is approximated for a convex hull of the most inlier. Finally, the pinhole camera model is used for the interpolation process and the remaining areas are interpolated. The evaluation of this work is executed using the KITTI depth completion benchmark, which validates the proposed work and shows that it outperforms the state-of-the-art non-deep learning-based methods, in addition to several deep learning-based methods.
CONSTRUCTING A QUESTIONNAIRE FOR MEASURING EDUCATIONAL COMPETENCE

The article presents a methodology for constructing a questionnaire for measuring on a linear scale the universal competence of the UC-1 "Able to search, critically analyze and synthesize information, apply a systematic approach to solving tasks" in the direction of training "Teacher Education". The developed method includes three stages: formation of a set of indicators by university graduates, evaluation of the validity of indicators by experts in the field of teacher education, and evaluation of the constructive validity of the questionnaire in the framework of the theory of latent variables. Since each indicator varied at three levels, a model with equally spaced gradations (rating scale model) was selected from the family of Rasch models. The quality of the developed questionnaire as a measuring tool was evaluated according to all the requirements in the framework of the theory of latent variables: the presence of extreme indicators in the questionnaire; the compatibility of indicators; the difficulty of the questionnaire corresponds to the level of competence formation; the range of variation of indicators; the adequacy of indicators of the measurement model (Rasch model). The developed questionnaire meets all the requirements listed above and is a measuring tool for assessing the level of formation of educational competence on a linear scale of the UC-1 "Able to search, critically analyze and synthesize information, apply a systematic approach to solving tasks" in the field of training "Teacher Education". The developed questionnaire is used at the Kuban State University to monitor the competence UC-1, as well as to conduct a comparative analysis of the formation of this competence, depending on the department, specialty, grade, gender, and other factors. Testing of the questionnaire showed that it has a high differentiating ability. This is the basis for constructing questionnaires within the framework of the theory of latent variables to measure the other educational competencies in the direction of training "Teacher Education".
STUDY OF ATTITUDES TOWARDS BIBLIOTHERAPY AMONG STUDENTS OF LIBRARY AND INFORMATION STUDIES IN BULGARIA

STUDY OF ATTITUDES TOWARDS BIBLIOTHERAPY AMONG STUDENTS OF LIBRARY AND INFORMATION STUDIES IN BULGARIA
Monocular Road Planar Parallax Estimation

Estimating the 3D structure of the drivable surface and surrounding environment is a crucial task for assisted and autonomous driving. It is commonly solved either by using 3D sensors such as LiDAR or directly predicting the depth of points via deep learning. However, the former is expensive, and the latter lacks the use of geometry information for the scene. In this paper, instead of following existing methodologies, we propose Road Planar Parallax Attention Network (RPANet), a new deep neural network for 3D sensing from monocular image sequences based on planar parallax, which takes full advantage of the omnipresent road plane geometry in driving scenes. RPANet takes a pair of images aligned by the homography of the road plane as input and outputs a $γ$ map (the ratio of height to depth) for 3D reconstruction. The $γ$ map has the potential to construct a two-dimensional transformation between two consecutive frames. It implies planar parallax and can be combined with the road plane serving as a reference to estimate the 3D structure by warping the consecutive frames. Furthermore, we introduce a novel cross-attention module to make the network better perceive the displacements caused by planar parallax. To verify the effectiveness of our method, we sample data from the Waymo Open Dataset and construct annotations related to planar parallax. Comprehensive experiments are conducted on the sampled dataset to demonstrate the 3D reconstruction accuracy of our approach in challenging scenarios.
E_Story Book as a Means of Reading Habitation during the Covid-19 Pandemic at SMP Negeri 4 Banyumas

One way to improve reading skills is to get into the habit of reading fiction books regularly. This study aims to analyze the use of e-story books to read habituation and its benefits for students of SMP Negeri 4 Banyumas. The method used is the descriptive method. Data collection methods are interviews, monitoring questionnaires and written data. Interviews were conducted with the person in charge of the activity and the activity coordinator. Meanwhile, questionnaires were distributed to all students at SMP Negeri 4 Banyumas from class VII, VIII, and class IX. The results showed that students at SMP Negeri 4 Banyumas liked the habit of reading fiction books using E-Story Books. The benefits of habituation activities to read fiction books using E-Story Books for students, among others, can be a means for students to channel hobbies, add insight, and students' skills in reading and understanding the content of a lesson.
Teaching Reform and Practice of College Computer Basic Courses based on Ability Training

In order to help students effectively improve their computer ability and cultivate their application ability, it is necessary for college computer courses to be reformed to adapt to the development of the era of big data. In the teaching process, it should present correct teaching concepts, and highlight the characteristics of application ability and practical ability. Based on this, this article mainly discusses the teaching path of college computer basic courses, aiming to effectively enhance students’ computer ability.
A LOW-COST UAV BASED APPLICATION FOR IDENTIFY AND MAPPING A GEOTHERMAL FEATURE IN IE JUE MANIFESTATION, SEULAWAH VOLCANO, INDONESIA

Mt. Seulawah Agam could make a good location for a geothermal power plant with an estimated energy of 150 Mwe. In geothermal exploration, thermal and multispectral imagery is required for surface temperature calculation, subsurface temperature modeling, and mapping of geothermal potential in volcanoes. In general, temperature data and vegetation index are obtained through such satellite images as Landsat, MODIS, and Sentinel. However, satellite images cannot be used for a small area due to the low resolution (> 15 m/px). In this study, the researchers used a small DJI Phantom 4 Quadcopter equipped with the FLIR One and MAPIR Survey 3 sensors to map the heat signatures of a geothermal feature from the Ie Jue geothermal manifestation, Seulawah Agam, Indonesia. An area of 500 m x 430 m has been scanned, and the images were mosaicked and processed using Drone Deploy Cloud and ArcGIS 10.2. Based on the data processing, NDVI data calculated from the MAPIR sensor are capable of showing vegetation contrast with high resolution (5 cm/px) in several manifestations, which also correspond to Landsat-8 imagery. Meanwhile, the FLIR thermal sensor shows a temperature of 85 °C in the manifestation area, which was confirmed by a geo-thermometer and field outcrops. It was proved that, compared to satellite imagery, UAVs could be applied effectively to support the quantitative assessment of geothermal resources in volcanoes.
Towards testing the magnetic moment of the tau at one part per million

Scaling the current tension in the anomalous magnetic moment of the muon with the square of the lepton mass ratio, as predicted by minimal flavor violation, suggests that the analog quantity for the $\tau$ lepton, $a_\tau$, could be affected by physics beyond the Standard Model (BSM) at the level of $10^{-6}$, and even larger effects are possible in generic BSM scenarios such as leptoquarks. While present limits are too weak to even probe the Schwinger term, the situation can improve significantly with $e^+e^-\to\tau^+\tau^-$ data from Belle II assuming the SuperKEKB $e^+e^-$ collider is upgraded with a polarized $e^-$ beam. In this Letter, we study what it would take to become sensitive to realistic BSM contributions, one prerequisite being two-loop accuracy in the Pauli form factor $F_2$. We conclude that the most promising avenue would proceed via a combined analysis of transverse and longitudinal asymmetries in $e^+e^-\to\tau^+\tau^-$, requiring and further motivating a SuperKEKB upgrade with polarized electrons.
EXPLORING THE GLOBAL PICTURE OF UNIVERSITIES – WHAT CAN WE LEARN USING GOOGLE TRENDS?

J. Hernik 1, A. Mínguez-Vera 2 1West Pomeranian University of Technology, Szczecin (POLAND) 2University of Murcia (SPAIN)
THE NEW LEARNING LANDSCAPE: ACKNOWLEDGING THE DIGITAL ZONE OF PROXIMAL DEVELOPMENT

The dynamic shift towards blended learning has been evident across the Higher Education (HE) sector, both nationally and internationally resulting in the adoption of transformative and innovative teaching and learning approaches supported by available technologies (Cambridge University, 2020). The diverse range of these technologies has presented challenges both pedagogically and technologically for the institutions and educators who have been tasked with adapting, designing and delivering a fit for purpose curriculum within an unprecedented timeframe. These challenges have resulted in an emerging learning landscape which is in juxtaposition with the recognised and established ideology presented by the seminal work of Vygotsky in the Zone of Proximal Development (ZPD) (Vygotsky, 1978). The concept of the ZPD is one of a physical environment, in which peers study collectively and the role of More Knowledgeable Others (MKOs) is regarded as pivotal to the success of the teaching and learning therein. Through the use of a social constructivist approach learning materials are developed that recognise the individual differences of every learner, who within the ZPD, is able to progress at their own pace and succeed through their experiences and interactions with others. The significance of this experience has always been an integral part of traditional university delivery with the ‘student experience’ very much dominating the wider narrative (Jones, 2018). This paper therefore acknowledges the change in the student experience and poses the question whether the digital shift to blended learning is creating what could now be called the Digital Zone of Proximal Development (DZPD)? If so, what does this now look like and what are the key features of this new DZPD that ensure it is successful. More importantly, what are the consequences for both staff and students transitioning from a known understanding to an emerging one and how can they be supported with their teaching and learning in such a transforming educational landscape (Jie, Sunze and Puteh, 2020).Delegates will be presented with an overview of the changing educational landscape, an introduction to Vygotsky’s Zone of Proximal Development, and a revised view of how this is now being reflected through the lens of blended learning to transition traditional face to face delivery throughout the HE sector (Hibbert, 2020). The presenters will share research and practical experience informing their view of the Digital Zone of Proximal Development and delegates will have the opportunity to discuss this view from within their own educational context.
Cooperative Coevolutionary Particle Swarms using Fuzzy Logic for Large Scale Optimization

A cooperative coevolutionary framework can improve the performance of optimization algorithms on large-scale problems. In this paper, we propose a new Cooperative Coevolutionary Coevolutionary algorithm based on our preliminary work FuzzyPSO2. This new proposal, called CCFPSO, uses a variable decomposition method, adopting the random grouping technique and a dynamic subcomponent size at each generation. Unlike FuzzyPSO2, in CCFPSO the re-initialization of the variables suggested by the fuzzy system is performed on the particles that has the worst fitness value in each generation. Moreover, the particles are updated based on their best position and its neighborhoods, instead of the best particle in the population as its standard version. On high-dimensional problems that more closely resemble real-world problems (CEC2008, CEC2010) the performance of CCFPSO is favorable compared to other state-of-the-art PSO versions such as CCPSO2, SLPSO and CSO. The results indicate that using a Cooperative Coevolutionary PSO approach with a fuzzy logic system can improve results on high dimensionality problems (100 to 1000 variables).
TOWARDS ACCURATE RATE ESTIMATION FOR 3D POINT CLOUD COMPRESSION BY TSPLVQ

Point clouds are widely emerged as a promising 3D visual representation model for immersive and high quality experiences using dense point cloud. However, as they are usually made up of thousands up to billions of points, advanced techniques of data compression are essential to store and transmit this type of data. This paper improves prior work, which provided a new top-down hierarchical geometry representation based on adaptive Tree-Structured Point-Lattice Vector Quantization (TSPLVQ), to make the point cloud geometry compression more adaptive to the input point cloud characteristics. In the paper, more robust Rate-Distortion optimization process is introduced to perform efficient and accurate rate-aware splitting decisions when building and coding the tree structure. Experimental results in geometry point cloud compression, considering the tree structures and the leaves coding, show that the solution takes advantage of well-established principles that have been paramount to reach higher levels of point cloud geometry compression performance.
An Analysis of Pronunciation Errors In Speaking of 2nd Semester Students of English Educate Department Universitas Bhinneka PGRI

In this study, researchers will examine students' problems in pronunciation errors in English and the causes of students' errors in English pronunciation. This study aims to determine the pronunciation errors and the causes of errors in pronunciation made by students in speaking English. This research is descriptive qualitative research that aims to describe students' pronunciation errors and the causes of students' pronunciation errors. The subjects of this study were second-semester students of the English language study program at the University of Bhinneka PGRI. The reason the researcher chooses this subject is the first subject that the researcher wants to examine and understand because there are some students who experience pronunciation errors and the researcher wants to know where the pronunciation errors are and what causes make their pronunciation errors. Based on the results of observations, the researchers found that students' problems in speaking English were in the vowel they were stamped. The results of the questionnaire that the researchers distributed from the entire 2nd-semester class, both class 2A and class 2B, totaling 44 students, received answers from 39 students. The results obtained from 10 interviews researchers can conclude that there are several causes of difficulty or pronunciation errors in semester 2 students at the Universitas Bhinneka PGRI including Mother Language and Personality.
Segmentation of CT Images to Extract Liver using Algorithms

In all ways of our life advance development in technology is growing. To expand the medical fields has become necessary, including the investigation on which action is made, by understanding the inner complicated arrangement of the abdominal organs example liver and exactly localizing the surface of the liver and its swelling, thereafter successful treatment will be done. Several numbers of algorithms projected to do the automatic liver segmentation. Different published works will be discussing here for liver segmentation. For each work the methods, datasets, outcomes and limitation will be discussing and conversing. A complete relative study is conducted here.
초등학교 저학년 아동의 심폐체력과 안정 시 심박수, 심박수 회복 간의 관계

This study was investigated the relationships between cardiorespiratory fitness, resting heart rate, and heart rate recovery in elementary school children. A total of 567 elementary school children (398 boys and 169 girls) voluntary recruited from G-gu, Seoul. Body mass index was calculated as weight in kilograms divided by height in meters squared. Cardiorespiratory fitness was assessed step test, resting heart rate and heart rate recovery were recorded with wireless heart rate monitor. One-way ANOVA followed by Bonferroni post-hoc test, if necessary, was applied to determine significant differences in dependent variables among cardiorespiratory fitness levels. Also, multiple regression anlaysis was used to determine significant determinants of cardiorespiratory fitness. The results showed that boys with better cardiorespiratory fitness significantly better resting heart rate, peak heart rate, and heart rate recovery in 1st minute, 2nd minute, respectively (p<.05). Girls with better cardiorespiratory fitness significantly better resting heart rate, peak heart rate, and heart rate recovery in 1st minute, respectively (p<.05). In addition, multiple regression analysis revealed that height (p=.008), weight (p=.029), and resting heart rate (p<.001) were independent predictors of cardiorespiratory fitness. In conclusion, resting heart rate found to be independently associated with cardiorespiratory fitness in elementary school children, and it is easy to measure and it can be used as a tool for monitoring cardiorespiratory fitness in the education aspect.
The role of Russia in the world education market

This article considers the features of the education market formation. It is shown that the undoubted leaders by number of foreigners involved in educational projects are Western European countries (Germany, France, Great Britain) and North American countries (USA and Canada).  Currently, the world education market reflects the patterns of interaction between producers, providers and users of educational services. The current education system is aimed at meeting the demand of foreign citizens on educational services through the use of a whole set of technologies related to improving skills and competitiveness of labor market specialists. It is proved that the leading market is associated with attracting foreign students to obtain higher education in Russia. In this article the main trends in the development of Russian education system were analyzed and results of the Export of Education program were described.
RESEARCH OF THE CONCEPTS IN THE TRAINING IN COMPUTER GRAPHICS

I. TrenchevUniversity of Library Studies and Information Technologies and South - West University "Neofit Rilski" (BULGARIA)
Complement Distribution and Complement Factivity of “NO”

The following are revealed regarding the correspondence relationship, which primarily exists between the presence of factivity in O case complements and the complementizers NO and KOTO in modern Japanese. a. The presence or absence of factivity in O case complements and the selection of NO or KOTO complementizers is not a one-to-one relationship; however, under certain conditions, a correlation exists between the allowance of the NO complement and complement factivity. b. The correlation is as follows: generally, higher tolerance of NO in a tensed complement allowing KOTO results in a stronger factive interpretation of the complement. Based on the behavior related to the above, it is therefore appropriate to separate the predicates into four types as follows. Type A :represented by “kateisuru(suppose)” Type B: represented by “noberu(state,claim)” Type C :represented by “tsutaeru(tell,report)” Type D: represented by “zannengaru(regret)” Type D, Type C, Type B and Type A bring the higher factive interpretation to complement proposition in that order, in parallel, NO in type D, Type C, Type B and Type A Indicates a higher acceptability in that order.
QUANTITATIVE CHARACTERISTICS OF INTELLECTUAL PROPERTY OBJECTS IN UNIVERSITY INFORMATION ENVIRONMENT

T. Trencheva, S. Dimitrova, S. DenchevUniversity of Library Studies and Information Technologies (BULGARIA)
INFORMATION SECURITY AWARENESS, A TOOL TO MITIGATE INFORMATION SECURITY RISK: A LITERATURE REVIEW

Information systems security has become a cardinal point in most organizations and businesses. A number of researchers have in the past proposed various approaches that seek to leverage on technology to mitigate information security risk. Lately, there is an overwhelming consensus by researchers that users/employees are the most vulnerable in Information Security and have also become the weak link. Given this, recent studies have sort to comprehend how user awareness might mitigate information security threats to the bare rest minimum. This study chronicles a review of the literature over the past decade that shows how information security awareness on the part of users and employees can mitigate information security risks. This study identifies factors that contribute to successful information security risk management; these factors were synthesized into five (5) which are composites of the most recurring issues discussed by prior researchers. A total of 70 publications over the past decade were identified and analyzed. Gaps in existing literature were highlighted, and recommendations for future studies were suggested.