Reviewerly/exHarmony huggingface dataset:
Cyberparki jako hybrydowe przestrzenie uczenia się: rozważania na marginesie projektu COST

CyberParks will be hybrid spaces of future cities. Learning in CyberParks will take the form of technology-enhanced outdoor learning and will become an important concept that can be used in practice in order to provide an answer to numerous problems of educational institutions, related to students’ lack of contact with nature and consolidation of their sedentary lifestyle. In this paper we discuss evidences from the CyberParks COST project and we present recommendations regarding the constructions of CyberParks. We point out, for example, that when designing CyberParks one has to think not only about the technological infrastructure, but also about making sitting spots for using learning technology. We also present the original project of such an object.
Efektivitas Penggunaan Media Vibermixo Dalam Meningkatkan Motivasi Belajar Siswa Pada Mata Kuliah Akuntansi: Berdasarkan Tinjauan Literatur

Learning is a complex and unique process, meaningthat someone who learns involves all aspects of hispersonality, both physically and mentally. The involvementof all aspects of personality is expected tohave an impact on students with the support of adequatelearning media. The purpose of this study is tofind out the appropriate learning media in the accountingsphere based on the literature. The research methodused is a qualitative method by using library researchas a data source. The results showed that the use ofVibermixo media in the accounting learning processcould be used to improve the quality with student.
Factors Causing Anxiety in Speaking English Experienced By The Students of Senior High School in Jombang

Abstract&#x0D; This study was conducted to know the factors contributing to the anxiety in speaking English experienced by students of a high school in Jombang. This study identified the factors of anxiety in speaking English based on the phenomenon experienced by the students. The research method used in this study was descriptive quantitative. Ten students who felt anxious in speaking were chosen as respondent based on the results of the questionnaire from preliminary study.The research instruments used in the data collection was questionnaire. While the data analysis was the frequency distribution analysis (percentage of occurrence).The result shows that there were three factors that cause anxiety in speaking the factors were: communication apprehension, test anxiety, and negative evaluation. The results of this study showed that the first factor had the most influenced on students' anxiety in speaking English was the communication apprehension which was the strongest factor causing the students’ anxiety in speaking. The second was the test Anxietyand the last one is the fear of being evaluated negatively.&#x0D;
Towards Intelligent Systems for Ubiquitous Computing: Tacit Knowledge-Inspired Ubicomp

This work attempts to contribute to shortening the gap between the original conception of ubicomp and the current state of the art. Thus, the original concept has been analyzed to identify one of the main advances required to achieve this. Authors consider that context-awareness is the key element to accomplish this goal and compare the context-aware system architectures to humans’ body parts, activities, and processes. Later they argue that, since context-aware systems are heavily influenced by humans context-awareness, it should implement techniques inspired by the human thinking process. Then, the concept of knowledge is reviewed altogether with a model of the human thinking process. Consequently, they propose the tacit context-modeling and the tacit context-reasoning techniques based on that model. Later, granular computing theory is proposed to implement the tacit context modeling technique, with which we propose the particular granular computing, the preconcept granular computing, and the concept granular computing. The authors conclude that the approach presented could help improve context-aware systems’ performance since it takes inspiration on how they perceive the only perfect machine ever created works, the brain.
A governing and political orientation in the field of education

The state policy forms the scope of activities at the junction of a political and managerial orientation in the system of education. In accordance with the spheres and stakeholders, the goal is concretized in education according to a number of parameters. Education is proclaimed a priority field within the social sphere in the framework of the modern state policy of the Russian Federation. A specific character of understanding the essence of education underlies the state policy in this area of the society organization, at any stage of human development. Base interests of society, strategic needs of the relevant stage of the state’s development, expressed by political leaders and elites in the form of basic principles and strategic goals that have found appropriate public support underlie the foundation of the state policy development in the field of education. It is necessary to identify one more of the main components of state policy: the constant reform and modernization of the system of education, which is the dominant of the Russian education development throughout its history and, of course, in the period of 20th century analyzed by us. The reform of education is a complex process that is organized and controlled by the state agencies. Its necessity is recognized both at the public and at the state level.
Sparse Approximate Cross-Validation for High-Dimensional GLMs.

Leave-one-out cross-validation (LOOCV) can be particularly accurate among cross-validation (CV) variants for machine learning assessment tasks -- e.g., assessing methods' error or variability. But it is expensive to re-fit a model $N$ times for a dataset of size $N$. Previous work has shown that approximations to LOOCV can be both fast and accurate -- when the unknown parameter is of small, fixed dimension. But these approximations incur a running time roughly cubic in dimension -- and we show that, besides computational issues, their accuracy dramatically deteriorates in high dimensions. Authors have suggested many potential and seemingly intuitive solutions, but these methods have not yet been systematically evaluated or compared. We find that all but one perform so poorly as to be unusable for approximating LOOCV. Crucially, though, we are able to show, both empirically and theoretically, that one approximation can perform well in high dimensions -- in cases where the high-dimensional parameter exhibits sparsity. Under interpretable assumptions, our theory demonstrates that the problem can be reduced to working within an empirically recovered (small) support. This procedure is straightforward to implement, and we prove that its running time and error depend on the (small) support size even when the full parameter dimension is large.
Dynamics of quantum correlations for three-qubit states in a noisy environment

Girolami and coworkers have proposed measures of quantum correlations and weaving [Girolami et al., Phys. Rev. Lett. 119, 140505 (2017)]. This work derives the analytic time-evolution of such measures and weaving for two kinds of initial states in three qubits under an amplitude-damping and a dephasing noisy environment. It is shown that the 2-partite correlation is forever frozen, which is dependent on an initial state and the property of noise.
Expecting the Unexpected: Distilling Bot Development, Challenges, and Motivations

Software bots are becoming an increasingly popular tool in the software development landscape, which is particularly due to their potential of use in several different contexts. More importantly, software developers interested in transitioning to bot development may have to face challenges intrinsic related to bot software development. However, so far, it is still unclear what is the profile of bot developers, what motivate them, or what challenges do they face when dealing with bot development. To shed an initial light on this direction, we conducted a survey with 43 Github users who have been involved (showing their interest or actively contributing to) in bot software projects.
Expand the internet access in an urban park using a Wi-Fi offloading technique

&#x0D; &#x0D; &#x0D; &#x0D; Nowadays, smart devices have grown exponentially, so they have become a necessity rather than a luxury, therefore staying connected to the Internet has facilitated people to explore national and international news, make payments for services public, virtual shopping, scheduling medical appointments, among others. Now all this demand increases every day at excessive levels and adding the robust applications that are currently being developed and launched on the market.&#x0D; Regarding this, it is known that currently, the internet service providers of the municipality of Soledad Atlántico do not have the physical infrastructure to maintain the availability of the service. This is where the project design of the Wi-Fi-Offloading solution to extend the coverage and the transmission of data from the cellular network, through the wireless network in the Muvdi park of the Municipality of Soledad Atlántico, is carried out with the aim of providing a solution and alternative so that the internet connection service remains available without import the data network to which you have access. The research methodology used for the development of the project is descriptive. The research design is qualitative, transactional, and non-experimental. At this moment, it is in a descriptive stage, carrying out tests, and then moving on to the applied stage.&#x0D; &#x0D; &#x0D; &#x0D;
PENGARUH PEMBERIAN HADIAH TERHADAP MINAT SISWA DALAM MENULIS TEKS CERPEN PADA SISWA SMP

Learning with interest in writing texts is basically for all people still lacking, especially among students and students who are not people who are in the field of education. This is because people who are less aware of the benefits of writing. Besides that, there are also quite a lot of obstacles that exist when you want to write, especially in writing a text. Barriers that are usually in the form of laziness and no sense of motivation want to write. The formulation of the problem in this study are: 1) What is a reward in education? 2) What is the effect of giving rewards? This study aims to determine the effect of giving rewards to students' interest in writing texts at SMP. The reward is an award that is proud of all students. Researchers give prizes to encourage students to be more interested in writing. So, with the award given by the teacher, it is expected to be able to make students motivated in learning activities. The approach used during this research is qualitative research. The data collection techniques that will be discussed are questionnaires. The results of this study indicate that students' interest in writing increases. It is seen from the results of the data that show that giving rewards is very influential on student motivation.
Metadata Storage and Query of Hive Based on Hadoop Distributed Platform

Hive’s data is stored in HDFS, and most of the queries are done by MapReduce, which is a large-scale data mechanism that can be stored, queried and analyzed in Hadoop. Hive can convert SQL statements into MapReduce tasks, which has the advantages of low learning cost and easy MapReduce statistics through SQL like statements. Most queries in Hive are executed through the MapReduce provided by Hadoop. This paper introduces the metadata storage and query of Hive based on Hadoop distributed platform.
Economic Misery, Urbanization and Life Expectancy in MENA Nations: An Empirical Analysis

This paper has examined the effect of urbanization and economic misery on average life expectancy in selected MENA nations from 2001 to 2016. The selected MENA nations are: Algeria, Bahrain, Egypt, Iraq, Iran, Islamic Rep., Israel, Jordan, Kuwait, Lebanon, Morocco, Oman, Qatar, Saudi Arabia, Tunisia, United Arab Emirates and Yemen Rep. PP-Fisher Chi-square, Levin, Lin & Chu t*, Im, Pesaran and Shin W-stat and ADF-Fisher Chi-square unit root tests have been used for examining unit root issue in the data. Panel ARDL has been used for reviewing the co-integration among the selected indicators. The causality of the variables has been analyzed by impulse response function and variance decomposition. The outcomes reveal that food availability has significant and positive relation with an average life expectancy. The outcomes show that environmental standards put significant and positive impact on average life expectancy. The outcomes reveal that economic misery has a significant and negative influence on average life expectancy in MENA nations. The findings reveal that urbanization puts significant and positive influence on average life expectancy. So, for improving the average life expectancy in MENA nations availability of food, household final consumption and the level of urbanization must be enhanced. Whereas at the time economic misery will be reduced.
Análisis bibliográfico de las características y consecuencias de los roles desempeñados en la violencia escolar: agresores, víctimas y observadores

Within school violence or bullying there are three main protagonists: the aggressor, the victim and the observer. The objective of this paper is to analyze which characteristics are attributed to both victims and aggressors and to observers from the scientific literature, attending to personality, physical, school and family aspects. As well as the consequences that school violence itself refers to in each one. Finding as results the vision of the victims as shy, isolated students with low self-esteem, who feel a great emptiness or loneliness. While the aggressors are posited as students who are socially accepted with a negative view of the school environment, finding as one of the most serious consequences the use of violence as a means to obtain benefits or delinquency. In the case of observers, according to their role, they will become accomplices, having as a consequence the development of scarce social skills or behaviors related to hostility. While, if they adopt a more active role, they will be of great help for the detection and detention of these facts.
Research on Vulnerability and Damage Assessment of Tactical Ballistic Missile

Abstract The threat of TBM (Tactical Ballistic Missile) on the battlefield makes it an important intercept target of anti missile system. In order to effectively evaluate the damage degree of TBM when intercepted, the system and function characteristics of TBM were analyzed with "Iskander" TBM as an example, the missile vulnerability model was constructed, the vulnerability and damage assessment program was developed, and the damage assessment test methods of TBM were summarized. The research results will help to carry out real-time evaluation of the damage effect of antimissile system towards TBM.
Kindergartners’ morphological awareness, its instruction and guidance in the Indonesian context

Children's language development is an arguably integral part of early childhood education. This research departs from the assumption that morphological awareness encompassing sensitivity to word units plays a critical role in ascertaining the success of children's reading skills in school. The purpose of the present study was two-fold: i) to assess the level of morphological awareness of preschool children, and ii) to reveal the types of learning and guidance activities in the classroom that facilitate the development of children's linguistic awareness and early literacy in general. Data were obtained through a set of morphological awareness tasks (a judgment task and a word analogy task) to kindergarten students aged 4-6 years, classroom observations, and interviews with the teachers. By virtue of an exploratory nature of this research, the data stemmed from one kindergarten in a North Bandung area, Indonesia. Findings reveal that the kindergarten children, in general, have demonstrated early signs of morphological awareness owing to ongoing language development. Their morphological awareness level appears to be contingent on the extent of their morphological knowledge. Pedagogically, it is found that the teachers have provided the students with various types of morphological knowledge learning and guidance activities in the school to help hone the awareness. Implicationally, explicit morphological awareness and vocabulary instruction need to be implemented in a preschool context to prepare children’s later academic success.
Decoupling for the parabola and connections to efficient congruencing

Author(s): Li, Zane Kun | Advisor(s): Tao, Terence | Abstract: This thesis presents effective quantitative bounds for l^2 decoupling for the parabola. We first make effective the argument of Bourgain and Demeter for the case of the parabola. This allows us to improve upon the bound of O_{\epsilon}(\delta^{-\epsilon}) on the decoupling constant. Next, we give a new proof of l^2 decoupling for the parabola inspired from efficient congruencing. We also mention how efficient congruencing relates to decoupling for the cubic moment curve. This chapter contains the first known translation of an efficient congruencing argument into decoupling language. Finally, we discuss equivalences and monotonicity of various parabola decoupling constants and a small ball l^2 decoupling problem.
La interactividad en ambientes virtuales en el posgrado

The potential of information and communication technologies, the need for graduates to be given a continuous and updated training, and for research activities to be stimulated have caused postgraduate curricula to be prepared and implemented in virtual learning environments. Virtual learning environments have brought back to the discussion of traditional face-to-face teaching methods, putting emphasis in their shortcomings, and ways of overcoming them. New teaching theories have been elaborated; new educational platforms have been created; lots of pieces of research into innovations have been carried out. This paper is aimed at theoretically evaluating interactivity in virtual learning environments for postgraduate education.
Integration of Kestrel-based search algorithm with artificial neural network for feature subset selection

Feature selection plays an important role in data pre-processing of data management. Although there are different methods available for feature selection such as filter, wrapper and embedded methods, selecting relevant features still remains a challenge in the current dispensation of big data. This paper proposes a new meta-heuristic method that integrates with wrapper method for feature subset selection. A mathematical model is formulated using random encircling and imitative behaviour (REIM) of the Kestrel bird for optimal selection of features. A test dataset from a benchmark was used to test the proposed algorithm. The performance of proposed algorithm was evaluated against PSO and ACO. The proposed model is observed to provide low error rate of 0.001143 as compared with PSO (0.0589) and ACO (0.05236). In terms of optimal size over dimension of each dataset, the proposed model performed well in 3 out of 4 datasets, while PSO-ANN performed well in 1 out of 4 datasets, ACO-ANN could not perform in any of the dataset.
Vision-Based Autonomous Control Schemes for Quadrotor Unmanned Aerial Vehicle

This chapter deals with the development of vision-based sliding mode control strategies for a quadrotor system that would enable it to perform autonomous tasks such as take-off, landing and visual inspection of structures. The aim of this work is to provide a basic understanding of the quadrotor dynamical model, key concepts in image processing and a detailed description of the sliding mode control, a widely used robust non-linear control scheme. Extensive MATLAB simulations are presented to enhance the understanding of the controller on the quadrotor system subjected to bounded disturbances and uncertainties. The vision algorithms developed in this chapter would provide the necessary reference trajectory to the controller enabling it to exercise control over the system. This work also describes, in brief, the implementation of the developed control and vision algorithms on the DJI Matrice 100 to present real-time experimental data to the readers of this chapter.
Studying document information flow on the information safety problems

The national document flow in the area of information safety is analyzed based on the Russian Science Citation Index database for 1993–2017. Its volume makes over 18,000 entries including up to 59% articles and conference proceeding (28%). The flow dynamics demonstrates its annual growth – it is ahead of other science information flows in the number of documents. The dispersion of publications in periodicals in 2016 is characterized; the dependence of the information flow completeness from the number of sources is considered. The findings of microflow study have proved the provision of S. Bradford’s law of the periodicals division into three zones. The “core” comprises 52 journals, primarily in the related sectors rather than those specializing in the mentioned area which evidences on the vibrant interdisciplinary character of the problem. The authors characterize information significance of the most productive journals using such indicators as the 2-year impact-factor and the number of article loads. It was found that the impact-factor as a criteria of journal influence was in the range 0.040–1.435, while the number of loads was from 252 to 56,041. The accessibility of the “core” journals in the RSCI as related to the availability of full texts and the open access and their coverage by RSCI, WoS and Scopus databases are discussed.
Composition of Safety Constraints With Applications to Decentralized Fixed-Wing Collision Avoidance.

In this paper we discuss how to construct a barrier certificate for a control affine system subject to actuator constraints and motivate this discussion by examining collision avoidance for fixed-wing unmanned aerial vehicles (UAVs). In particular, the theoretical development in this paper is used to create a barrier certificate that ensures that two UAVs will not collide for all future times assuming the vehicles start in a safe starting configuration. We then extend this development by discussing how to ensure that multiple safety constraints are simultaneously satisfied in a decentralized manner (e.g., ensure robot distances are above some threshold for all pairwise combinations of UAVs for all future times) while ensuring output actuator commands are within specified limits. We validate the theoretical developments of this paper in the simulator SCRIMMAGE with a simulation of 20 UAVs that maintain safe distances from each other even though their nominal paths would otherwise cause a collision.
Validation of Localization Method for Autonomous Vehicles using Road Feature Map and 3D LiDAR Sensor

This paper describes our study of localization for autonomous vehicles based on a particle filter with road feature maps and lidar sensor inputs. We propose this system for vehicle localization in tunnels and underground roads when satellite signals from the US GPS, the Russian GLONASS, and the Japanese QZSS are not available. We studied sensor-based localization methods for autonomous vehicles using radar, lidar, and cameras. In this paper, we describe a localization method using a particle filter that correlates a high-resolution map with a local map constructed by 3D lidar and vehicle odometry. We validate the developed method with a real-time computing environment using actual measurements obtained from public road experiments.