Reviewerly/exHarmony huggingface dataset:
The Effect of Psychological Skill Training Program on Students" Positive Psychology in Physical Education Classes in Middle School

The purpose of this study is to verify the effect of physical education classes applied with PST(psychological skill training) program on students" positive psychology. To that end, 342 first-year students from two middle schools located in Seoul were divided into group that applied PST program and group of control. To check the effectiveness of the PST program, the moderating effect was analyzed through pre-post measurement of positive emotion, resilience and internal motivation. As a result of the analysis, the positive emotion, resilience, and perceived competence(internal motivation) scores of group participating in the PST program increased to a significant level, while the students who participated in the general physical education class did not change significantly. Considering that there was no difference in the pre-measurement score between the two groups for each variable, it can be interpreted that the application of the PST training program in the physical education class had a significant effect on the positive psychology. Through this study, we have provided an opportunity to explore the possibility of expanding the scope of PST, which is being conducted mainly on specific subjects, into physical education classes.
Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation

The existing literature on knowledge graph completion mostly focuses on the link prediction task. However, knowledge graphs have an additional incompleteness problem: their nodes possess numerical attributes, whose values are often missing. Our approach, denoted as MrAP, imputes the values of missing attributes by propagating information across the multi-relational structure of a knowledge graph. It employs regression functions for predicting one node attribute from another depending on the relationship between the nodes and the type of the attributes. The propagation mechanism operates iteratively in a message passing scheme that collects the predictions at every iteration and updates the value of the node attributes. Experiments over two benchmark datasets show the effectiveness of our approach.
Android Educational Game: Introduction to Basic Logic for Children

Introduction to Basic Logic aims to develop children's thinking abilities about numbers and quantities to teach activities that are in accordance with the development of their thinking power. Learning in children requires an educational media game facility, one of which is the Educational Game. This educational type game aims to provoke children's interest in learning the subject matter while playing the game. Mobile games can be an alternative in children's learning. Basically children prefer to play rather than learn. This is natural, because child psychology is playing. Based on these problems an educational game application is made for the introduction of basic logic in Android-based children, so that it can produce alternative learning for children. This educational game is intended for children aged 6-7 years because children aged 6-7 years have begun to understand the concept of numbers and develop sensitivity in solving a problem. And trials are carried out using a questionnaire
IMPROVING STUDENTS’ READING ABILITY ON INTRODUCTION TO LINGUISTIC CLASS THROUGH TWO –STAY TWO STRAY (TS-TS) TECHNIQUE

This research was conducted based on the researcher’s observation in the class of Introduction to Linguistic at second semester of English Education Department Madura Islamic University. From the data, there were some problems of learners, they are; 1) they felt difficult in understanding the subject of Introduction to Linguistic because it was the new subject for them, 2) they were not active in joining the process of teaching and learning. Related to the problems above, the researcher tried to find the solution by choosing the best strategy, it was Cooperative learning TWO –STAY TWO STRAY (TS-TS). This research is CAR (Classroom Action Research) which has four steps: planning, acting, observing and reflecting. The subject of this research was learners of second semester of English Education Department. The result after implementing Cooperative learning TWO –STAY TWO STRAY (TS-TS), there was high motivation from the learners in joining the class and there was a significant improvement of learners’ score from preliminary study, cycle I and Cycle II. In preliminary, there were only 27.3 % learners who got the target of the minimum score, it was 75 (B). In cycle I, there was 63.7 % learners achieved the target and 81.9 % of learners got the target of the research. Based on the data, it could be concluded that this method is success and can be used in teaching reading.
The Aggregator Model of Spatial Cognition

Tracking the positions of objects in local space is a core function of animal brains. We do not yet understand how it is done with limited neural resources. The challenges of spatial cognition are discussed under the criteria: (a) scaling of computational costs; (b) feature binding; (c) precise calculation of spatial displacements; (d) fast learning of invariant patterns; and (e) exploiting the strong Bayesian prior of object constancy. The leading current models of spatial cognition are Hierarchical Bayesian models of vision, and Deep Neural Nets. These are typically fully distributed models, which compute using direct communication links between a set of modular knowledge sources, and no other essential components. Their distributed nature leads to difficulties with the criteria (a) - (e). I discuss an alternative model of spatial cognition, which uses a single central position aggregator to store estimated locations of each object or feature, and applies constraints on locations in an iterative cycle between the aggregator and the knowledge sources. This model has advantages in addressing the criteria (a) - (e). If there is an aggregator in mammalian brains, there are reasons to believe that it is in the thalamus. I outline a possible neural realisation of the aggregator function in the thalamus.
EDUCATIONAL SOFTWARE FOR ACQUIRING MATH SKILLS

The article discusses the development of a software product for training students in Mathematics. The program proposes to use of a question-answer mode in the form of testing. A user with the "Learning" role is given the opportunity to select a category for training. The essence of the training is to develop a automatic response for a certain basic amount of knowledge. Based on the results of each training cycle, a file with the final reporting for the user with the role "Teacher" is generated.
Filtered Manifold Alignment

Domain adaptation is an essential task in transfer learning to leverage data in one domain to bolster learning in another domain. In this paper, we present a new semi-supervised manifold alignment technique based on a two-step approach of projecting and filtering the source and target domains to low dimensional spaces followed by joining the two spaces. Our proposed approach, filtered manifold alignment (FMA), reduces the computational complexity of previous manifold alignment techniques, is flexible enough to align domains with completely disparate sets of feature and demonstrates state-of-the-art classification accuracy on multiple benchmark domain adaptation tasks composed of classifying real world image datasets.
The Attribute Factors on the Successful Reading Lesson by ESL: A Literature Review

Reading skill is one of the most important and crucial skills to attain in this modernization world.The low English proficiency among the English Second Language Learners (ESL) is a vital sign that they are indeed at risk at reading activity.This has made the ESL be in a difficult situation because they cannot cope with the learning aspect in reading.With appropriate approach and strategy, reading tasks can be more tolerant and permissive for the ESL.This literature review paper will unfold the basic strategies employed by learners of ESL to overcome the difficulties in reading which will lead them to successful classroom learning.The strategies used are heavily embedded with the spirit of collaboration among peers and also the application of the 21st learning classroom reading activities.If these approaches are fully employed, educators of ESL will see the tremendous change in students' attitude and their perception towards reading activity.
Errors And Competencies In Speaking Indonesian Language Students Of Diponegoro University, Semarang, Indonesia

Error and competence in speaking Bahasa (Indonesian language) are always an interesting topic to discuss because language is dynamic. Mistakes that also reflect language competence can occur in all walks of life from the general public, students, to university students. This paper highlights the mistakes and at the same time, competence in speaking Indonesian language, among students of Diponegoro University. Data was extracted through a questionnaire distributed via MS Form. The results are (a) the average number of students (80-90%) is competent in distinguishing standard and non-standard words, (b) Some students (60-85%) are competent in distinguishing standard/complete form of words (in Predicate) in a sentence, (c) a small portion of students (14-32%) is incompetent to distinguish it, (d) 60-85% of students are able to distinguish effective and ineffective sentences, (e) on average (50%), students are able to distinguish correct sentences in terms of semantics, (f) most students (&gt; 90%) agree: (1) Indonesian language must be maintained, taught and mastered; (2) Indonesian language is related to nationalism, personality and logic.
Origin of the temporal evolution of elastic properties during laboratory seismic cycle.

&amp;lt;p&amp;gt;Recent seismological observations highlighted that earthquakes are associated to drops in elastic properties around the fault zone (Brenguier et al., 2008). This drop is often attributed to co-seismic damage produced at the rupture tip, and can mostly be observed at shallow depths. However, it is known that in the upper crust, faults are surrounded by a zone of damage (Caine, Evans, &amp;amp; Forster, 1996). Because of this, the origin of the velocity change associated to earthquakes, as well as its recovery in the months following the rupture remains highly debated.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We conducted stick-slip experiments to explore the evolution of elastic waves velocities during the entire seismic cycle. The tests were run on saw-cut La Peyratte granite samples presenting different initial degrees of damage, obtained through thermal treatment. Three types of samples were studied: not thermally treated, thermally treated at 650 &amp;amp;#176;C and thermally treated at 950 &amp;amp;#176;C. Seismic events were induced in a triaxial configuration apparatus at different confining pressures ranging from 15 MPa to 120 MPa. Active acoustic measurements were carried through the whole duration of the tests and P-wave velocities were measured.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The evolution of P-wave velocity follows the evolution of the shear stress acting on the fault, showing velocity drops during dynamic slip events. The evolution of the P-wave velocity drops with increasing confining pressure shows two different trends; the largest drops can be observed for low confining pressure (15 MPa) and decrease for intermediate confining pressures (up to 45 MPa), while for confining pressures of 60 MPa to 120 MPa, drops in velocity slightly increase with confining pressure.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Our results highlight that at low confining pressures (15-45 MPa), the change in elastic velocity is controlled by the sample bulk properites (damage of the medium surrounding the fault), while for higher confining pressures (60-120 MPa), it might be the result of co-seismic damage.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;These preliminary results bring a different interpretation to the seismic velocity drops observed in nature, attributed to co-seismic damage. In our experiments co-seismic damage is not observed, except for high confining pressures (laboratory equivalent for large depths), while the change in P-wave velocity seems to be highly related to combined stress conditions and initial damage around the fault for low confining pressures (laboratory equivalent for shallow depths).&amp;lt;/p&amp;gt;
Teknologi saringan air berbahan pasir kerubung di Pondok Pesantren Tarbiyah Islamiyah Singkawang

&lt;span class="ShortAbstract"&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;The purpose of service programs was designed for water filter by using kerubung sand. The method of designing the water purification was literature study on the specifics articles that related to the simple water purification process with the slow water filter method. The development of the filter method by the service team using the kerubung sand. The service teams’ considerations in choosing local materials as the main component as water purification because it was easy to get, less price event some things can be obtained for free because they were available in the wild, or it can be made easily. The results of the water purification design by using the slow water method with kerubung sand had been proportion of 15: 4: 4: 1 with the &lt;/span&gt;&lt;/em&gt;&lt;/span&gt;&lt;span class="ShortAbstract"&gt;&lt;em&gt;&lt;span lang="EN-US"&gt;types of materials were kerubung sand, zeolite sand, the palm fiber, and activated&lt;/span&gt;&lt;/em&gt;&lt;/span&gt;&lt;span class="ShortAbstract"&gt;&lt;em&gt;&lt;span lang="EN-US"&gt; carbon, respectively. It is hoped that the successful creation of the water purification design composition of the slow water method using kerubung sand will make the quality of water produced from the filter process better than before. The addition output of this service program was the publication of copyright certificate of the manual book for slow water purification method. The conclusion that can be concluded from this design process was that the use of kerubung sand as a filter media is alleged to be a solution for filtering well water at the location of PKM partners&lt;/span&gt;&lt;/em&gt;&lt;/span&gt;
<i>Fixed-point properties for predicate modal logics</i>

It is well known that the propositional modal logic GL of provability satisfies the de Jongh-Sambin fixed-point property. On the other hand, Montagna showed that the predicate modal system QGL, which is the natural variant of GL, loses the fixed-point property. In this paper, we discuss some versions of the fixed-point property for predicate modal logics. First, we prove that several extensions of QGL including NQGL do not have the fixed-point property. Secondly, we prove the fixed-point theorem for the logic QK + ▢n+1 ⊥. As a consequence, we obtain that the class FH of Kripke frames which are transitive and finite height satisfies the fixed-point property locally. We also show the failure of the Craig interpolation property for NQGL.Finally, we give a sufficient condition for formulas to have a fixed-point in QGL.
Research on Calculation Method of Mean in Sports Statistical Data with EXCEL

The mean is the most commonly used statistical indicator to reflect the central tendency of data distribution, in this study, the mean was reclassified according to whether the effect of extreme value was considered or not. According to the definition and specific classification of mean value, We explain in detail how to calculate the normal mean by ways of "built-in function", "pivot table chart" and "descriptive statistics", symmetry trim mean by TRIMMEAN function and asymmetrical trim mean by ways of nested function and VBA self-built function with the date of the 10 referees' scores in the kindergarten gymnastics competition of normal education department of our college. If we fully exploit the powerful statistical function of Excel, we can better meet our sports practice of statistical processing needs.
ДОСЛІДЖЕННЯ ВИКОРИСТАННЯ МЕТОДІВ РОЗПІЗНАВАННЯ ОБЛИЧЧЯ ЛЮДИНИ В СИСТЕМАХ ІДЕНТИФІКАЦІЇ

Computer vision is used in recognition, identification, identification, analysis of images. But the disadvantage of advanced software is that it does not perceive the surrounding world as a person. Smart machines cannot yet see, but can learn, like the formation of neural connections inthe human brain. The relevance of the study of human face recognition methods is manifested due to the popularity of human image processing and the need to improve human interaction and technology.The result of the research is to determine the advantages and disadvantages of existing systems and methods, as well as simplifying the process of recognizing a person's face in images and increasing indicators when recognizing using the convolutional neural network method. The resulting system based on neural network methods makes a decision similarly to humans. To make a decision, this system needs information about the object, which is received at the entrance bytracking the special properties of the object. When a person is the object under investigation, the most special properties can be obtained by tracking his personality. In this case, the system has todeal with sometimes low-quality images, noise, angles of the head position, poor lighting and the like. Accuracy and speed criteria are factors in the success of a face recognition system. Theoriginal product shows improved recognition rates.Studies have shown the versatility of neural networks and their effectiveness in solving problems of facial recognition in real time and in photography. The system of automatic tracking and recognition of a person’s face using artificial intelligence and convolutional neural networks can be used at checkpoints, customs control, for identification in banking systems, government institutions, educational institutions (attendance control, registration of passers-by of unauthorized persons in the premises, identification personswhen writing control or examination papers).
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation

Automatic segmentation of the prostate cancer from the multi-modal magnetic resonance images is of critical importance for the initial staging and prognosis of patients. However, how to use the multi-modal image features more efficiently is still a challenging problem in the field of medical image segmentation. In this paper, we develop a cross-modal self-attention distillation network by fully exploiting the encoded information of the intermediate layers from different modalities, and the extracted attention maps of different modalities enable the model to transfer the significant spatial information with more details. Moreover, a novel spatial correlated feature fusion module is further employed for learning more complementary correlation and non-linear information of different modality images. We evaluate our model in five-fold cross-validation on 358 MRI with biopsy confirmed. Extensive experiment results demonstrate that our proposed network achieves state-of-the-art performance.
The Technology for Forming Students’ Corporate Culture in an Educational Environment of the University

The article is dedicated to the topical problem of modern pedagogical education – formation of the students’ corporate culture in the educational environment of the university. The essential features of the concepts «technology», «pedagogical technology», «personality’s corporate culture » have been revealed. The author's definition of the concept «technology of the university students’ corporate culture formation» has been provided. The technologizing of the students’ corporate culture formation process in the educational environment of the university has been characterized. The technology of its formation in students using the potential of the auditorium and extramural activities of the university has been grounded.
MENINGKATKAN HASIL BELAJAR BAHASA INDONESIA SISWA SDN 011 PAUH ANGIT MENGGUNAKAN MODEL PEMBELAJARAN EXAMPLES NON EXAMPLES

The low learning outcomes of students in Indonesian is a fundamental problem for fifth grade students at SDN 011 Pauh Angit, low student learning outcomes can make the learning process less good in a school. The purpose of this study was to improve the Indonesian language learning outcomes of students at SDN 011 Pauh Angit. This research is a classroom action research which aims to improve and enhance the learning process in class. The results of this study were the application of the example non example learning model was quite effective in the learning process, as evidenced by the increase in the analysis of the results of the analysis of teacher activity observations at the first meeting by 57% in sufficient category, at the second meeting it was 71% in the good category, then at the meeting the third meeting was 83% in the very good category, and at the fourth meeting it was 92% with the very good category. data on the increase in the results of observation of student activity at the first meeting was 59% in the enough category, at the second meeting it was 72% in the good category, then at the third meeting it was 85% in the very good category, and at the fourth meeting it was 90% with the category very good. The data on the improvement of student learning outcomes is the I daily test of 78 and the second daily test of 88.
Line of Code Software Metrics Applied to Novice Software Engineers

In the world of modern software engineering, there are certain metrics used to measure size and effort of projects. This provides insight to how engineers work, however when it comes to novice engi ...
Keyword Extraction from TV Program Viewers’ Tweet Based on Neural Embedding Model

In recent years, young people have not been watching television (TV) as much as they used to. This is mainly because a number of TV programs are very long and/or have limited viewing times. Recently, individuals have been actively posting live-action tweets on Twitter to comment on TV content while watching programs in real time. In this study, we propose a method for extracting key phrases related to the event scenes of TV programs using live tweets, and we propose a scene search system that aims at efficient TV program viewing. The experimental results indicated that the program contents were estimated with an error of approximately 5% to 10% with respect to the program time. In addition, the extracted key phrases were visualized for each event scene category using the t-SNE algorithm.
Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation

In searching for a generalizable representation of temporally extended tasks, we spot two necessary constituents: the utility needs to be non-Markovian to transfer temporal relations invariant to a probability shift, the utility also needs to be lifted to abstract out specific grounding objects. In this work, we study learning such utility from human demonstrations. While inverse reinforcement learning (IRL) has been accepted as a general framework of utility learning, its fundamental formulation is one concrete Markov Decision Process. Thus the learned reward function does not specify the task independently of the environment. Going beyond that, we define a domain of generalization that spans a set of planning problems following a schema. We hence propose a new quest, Generalized Inverse Planning, for utility learning in this domain. We further outline a computational framework, Maximum Entropy Inverse Planning (MEIP), that learns non-Markovian utility and associated concepts in a generative manner. The learned utility and concepts form a task representation that generalizes regardless of probability shift or structural change. Seeing that the proposed generalization problem has not been widely studied yet, we carefully define an evaluation protocol, with which we illustrate the effectiveness of MEIP on two proof-of-concept domains and one challenging task: learning to fold from demonstrations.