Reviewerly/exHarmony huggingface dataset:
딥러닝을 이용한 주택 경매시장 예측에 관한 연구

The purpose of this study is to estimate the superiority of predictive power after estimating the housing auction market using GARCH model and deep learning model. The variables used were apartment auction bid rate, apartment sales price index, apartment bid rate, corporate bond yield, consumer price index, and building permit status. The spatial range was set to Seoul, and the time range was set from January 2002 to November 2019. The results showed that the mean error (MSE) and root mean square error (RMSE) of the deep learning model were 38.095 and 6.172, and the mean error (MSE) and mean root error (RMSE) of the GARCH model were 42.867 and 6.547. It is confirmed empirically that the deep learning RNN model has better predictive power than the GARCH model. In particular, from February 2019 to March 2019, when the apartment auction bid rate fell sharply, the deep learning model predicted accurate, while the GARCH model predicted relatively smooth results.
GPS-Follow up 군 코칭모델 개발에 관한 연구

The purpose of this study is to develop a military coaching model that leaders need to coach. To this end, we refer to a variety of coaching models, including coaching literature and conventional GROWs. He collected field opinions from commanders who demonstrated leadership in the field, and conducted a Focus Group Interview (FGI) with coaching subjects such as battalion leaders and regiment leaders who received military leadership coaching. Based on this, Delphi experts in the development of military coaching models were formed. They were selected as military coaching professionals, leadership instructors, and business coaching professors who specialized in coaching at business sites, having served as military commanders for more than 20 years and coached division, regiment, and battalion commanders dozens of times. Developing a military coaching model and commissioning it to Delphi experts confirmed that CVR was suitable for 4.57 out of 5. The developed military coaching model was again confirmed through joint research with coaching companies.The final military coaching model established in this work is named GPS-Followup. GPS is to maintain direction so that coaches and coaching subjects can recognize the right reality to achieve the goals of coaching agreed with each other and maximize their strengths in the process of promoting it. Follow-up is a coaching model for continuing to practice behavior, emotional control, and cognitive change to achieve the goals of coaching and pursuing happiness in life, the ultimate goal of coaching through change and growth.The military coaching model, developed by not only military coaching experts but also business coaching experts working for university professors'' companies, will reflect the specificity of the organization and can easily and easily contribute to achieving the organization''s goals regardless of time and place.
재한 중국인 유학생의 의사소통능력이 자기주도 학습능력에 미치는 영향에 있어 교수-학생상호작용의 조절효과

This research investigated the causal relationship between communication competence and self-directed learning ability and the moderating effects of professor-student interaction in their relationships. To achieve this, a questionnaire survey was conducted on Chinese students studying in Korea from May 20, 2018, and June 20, 2018. A total of 500 copies of the questionnaire were distributed and 490 copies were collected, and finally, 480 copies were used to analyze the questionnaire. Results derived from actual proof analysis are as follows. First, communication competence has a positive(+) effect on self-directed learning ability. Second, demonstrate that sensitivity out of professor-student interaction has a moderating effect on the relationship between creative, open communication and learning plan, self-directed communication and learning implementation, and all sub-factors of communication competence and learning assessment. Next, receptiveness out of professor-student interaction has a moderating effect on the relationship between self-directed ability and learning implementation, and the relationship between understanding from others' perspectives, and learning assessment. Furthermore, accessibility out of professor-student interaction has a moderating effect on the relationship between self-directed ability and the relationship between creative, open ability and learning assessment. Finally, reliability out of professor-student interaction has no moderating effect on the relationship between communication competence and self-directed learning ability. Based on such research results, Korean universities and education institutions should improve the Communication Competence of Chinese overseas students, so as to improve the Self-Directed Learning Ability of Chinese overseas students in learning. At the same time, through the development of Professor-Student Interaction, further strengthen the Communication Competence of Chinese overseas students and the cultivation of Self-Directed Learning Ability.
Super-Resolution Simulation for Real-Time Prediction of Urban Micrometeorology

We propose a super-resolution (SR) simulation system that consists of a physics-based meteorological simulation and an SR method based on a deep convolutional neural network (CNN). The CNN is trained using pairs of high-resolution (HR) and low-resolution (LR) images created from meteorological simulation results for different resolutions so that it can map LR simulation images to HR ones. The proposed SR simulation system, which performs LR simulations, can provide HR prediction results in much shorter operating cycles than those required for corresponding HR simulation prediction system. We apply the SR simulation system to urban micrometeorology, which is strongly affected by buildings and human activity. Urban micrometeorology simulations that need to resolve urban buildings are computationally costly and thus cannot be used for operational real-time predictions even when run on supercomputers. We performed HR micrometeorology simulations on a supercomputer to obtain datasets for training the CNN in the SR method. It is shown that the proposed SR method can be used with a spatial scaling factor of 4 and that it outperforms conventional interpolation methods by a large margin. It is also shown that the proposed SR simulation system has the potential to be used for operational urban micrometeorology predictions.
The celebration of a great IP academic

Annette Kur is an admirable woman who has had an extraordinary career and influence on the understanding and shaping of intellectual property (IP) law. The Journal of Intellectual Property Law & Practice is honoured to have her as a member of its Editorial Board. On a personal note, the first impression I had of her was that of a woman who is not just intelligent and accomplished, but also warm and welcoming. I first met her in person at conferences when I was doing my PhD. Unlike other equally or—more likely—less established academics and professionals, she approached me directly and devoted time to speaking and listening to me, invariably encouraging and focused on our conversation. I felt that I mattered. This, to myself as a student, was the biggest gift. That first impression has stayed with me over the years: Annette has always made me feel ‘seen’. I am grateful...
Research Hotspots and Evolution of Fusion of Blockchain and Supply Chain in China Based on Visualization Analysis

Based on 837 literatures of CNKI from 2015 to 2020, this paper conducts visualization analysis about domestic fusion of blockchain and supply chain with the utilization of Citespace, and reveal the research hotspots in the field of fusion of blockchain and supply chain in the past five years. The study finds that, firstly, China Finance, Southwest Finance, and Business &amp; Economy are the journals with higher quantity of publication in this field; secondly, Song Hua and Xu Peng are the leading scholars in this research area; thirdly, the research institutions in this field are mainly concentrated in the School of Economics and Management, Law School and School of Information Management in major universities; fourthly, application scenarios, technology development, applied agent and fund are the research hotspots in this area. This study reveals the basic dynamics of domestic fusion of blockchain and supply chain research in the past five years, which not only can promote the theoretical development of this field, but also point out the research hotspots and future research direction for scholars in this area, and provide reference and reference for all walks of life who plans to enter this field.
Estimation of White Blood Cell Abnormality

Blood cancer is the most frequent and dangerous among all types of cancer. Leukemia is a type of blood cancer, which is produced by uncontrolled and abnormal production of white blood cells in the bone marrow. However, early identification of Leukemia gives an opportunity to cure cancer by appropriate treatment. One way of finding the leukemia is to count the number of white blood cells and red blood cells. The conventional way of counting white blood cells and red blood cells is by using a special device called Haemocytometer. However, these types of tests are time-consuming and extremely complex leading to inaccurate results. Image processing of microscopic images also helps in cancer cell detection, which is inexpensive as the circuitry is simple. Several researchers have detected the presence of cancer cells but still failed to consider all parameters simultaneously viz., noise reduction, image enhancement, stage identification and so on which leads to a reduction in the accuracy. Therefore, the aim of this paper is to introduce a new system by considering all the above aspects. The process includes stages like image acquisition, image pre-processing, image segmentation along with edge detection and feature extraction to detect the presence of cancer and cancer stages. The paper helps in estimating the white blood cells and red blood cells count along with their average cell sizes (regular/irregular) through which the presence of cancer can be detected.
Philosophy of education courses’ potential as main component in teacher-education program

Nowadays, teacher-education programs tend to focus on the development of skills such as classroom management and lesson planning, as well as on theoretical and practical knowledge.The status of courses on the philosophy of education, which were considered essential during several decades of the last century, have become marginalized, at best.The current study aims to underscore the potential and practical contribution of these courses to the development of upstanding educators, by giving voice to the opinions of educators who participated in a unique teacher-education program in Israel, in which three courses on the philosophy of education played a pivotal role.The responses of the educators (all of whom are accredited in-service teachers with a Master's in Teaching) may be categorized as expressions of gratitude, either for the valuable and pleasant experience and/or for the tools and resources that help them become better teachers.Most frequently, responses referred to the program's contribution to their ability to think critically and develop moral courage.
Interface Zooming and Planning Task Experiment Under Multiple Interactive Perspectives

The purpose of this experiment is to simulate the working environment in a ship in the laboratory, and compare the differences between the two operation modes of touch and mouse comprehensively, and find an interactive mode suitable for image zooming and panning tasks. Two kinds of operation elements (zoom and pan) are needed to complete the experiment. The dependent variables that can be output from the experiment are: completion time, number of operating elements. After 24 tasks of one operation mode are completed each time, the experiment records the operation steps of each task when the tasks in each operation mode are completed. Compare each set of data to get the operational performance of the crew in different interaction methods. The results show that in browsing tasks, the mouse operation efficiency is the highest, and the touch screen operation efficiency is the lowest.
Identifying Predictors of Perceived Claims of Insurance Fraudulance

Insurance fraud affects nearly every industry in the world, costing companies and others that pay insurance premiums billions of dollars per year. Insurance fraud can be found in almost any area of business where liability insurance is carried and intended to protect consumers; illegal activity can be detected in almost any field of business where liability insurance is carried and intended to protect consumers. The aim of this study is to study the predictor/s of anti-insurance fraud among non-insurer companies in Vietnam. This study was conducted using a questionnaire that was completed by 51employees who are currently working in the 11 non-life insurance company in Vietnam. It can be concluded that there exists a significant relationship between all the three independent variables which are namely claim procedure as well as business operation management and the dependent variable which is anti fraud procedure.
Calculation Of Material And Moral Damage Caused To The Author Of The Composition

It is known that the protection of intellectual property rights and rights to it is an important factor in the development of this sector, increasing its investment attractiveness. After all, the formation of a class of intellectual property owners and the development of the necessary legal framework pose new challenges to the legal science as a topical issue today.
Promising Speech Act by the Tenth Year Students of SMAN STAR I Tahunan Jepara

The purpose of this study is to analyze pragmatic study that focuses on promising speech act delivered by Tenth Year Students of SMAN STAR 1 Tahunan Jepara. This study concentrates on analyzing the promising speech act actualized by the students, the factors that influence the students in actualizing promising speech act, how the factors influence students to deliver a promise and what dominant strategy used by the students. This research is qualitative descriptive research and the source data is document. There are two methods used to collect the data; Role play and DCT (Discourse Completion Tasks) methods. The types in analyzing the data are transcribing, coding, classifying and interpreting. The subjects of the research are 22 Tenth Year Students of SMAN STAR 1 Tahunan Jepara at sixth and eighth semester. There are 528 utterances of promising speech act that actualized by the students from the Role play and DCT data elicited. Based on the analysis, the study reveals some strategies used by the students; future action, promise-to-act and predictive assertion strategy to actualize the promise. The probable factors that influence students in actualizing the promise are distance, dominance and imposition. However, those factors (distance, dominance and imposition) are not fundamental factors that impose the students in actualizing the promise. The different combination of social parameters in some situation or circumstances delivers different strategy for students to deliver promising speech act. The different combination of the three factors in situation given, interference of students’ native language, and pragmatic transfer in the language learning process also affects students to actualize a promise strategy. The result of this study shows that the future action strategy is the dominant strategy used by the students.
Using Mobile Devices To Support Online Collaborative Learning

The paper discusses the effect of mobile learning on students, especially the tablets and smartphones. Theses gadgets have become a research interest of education to encourage and facilitate learning. Mobile devices assist in build closer connection between students and teachers. There are several options of mobile devices such as Ipod, personal digital assistant, smart phone, laptop or tablet PC, MP3 Players, pen drive and so on. Mobile learning involves the use of mobile technology either alone or combination with other information and communication technology (ICT). The benefits of mobile learning expand the reach and quality of education, facilitate personalized learning, power anytime, anywhere learning, provide immediate feedback and assessment, ensure productive use of time spent in classrooms, build new community of students, support selected learning, enhance seamless learning, bridge formal and informal learning, improve communication and administration, maximize cost efficiency and update policies related to mobile learning. It is concluded that the benefits overshadow the challenges. Using mobile devices allow students to extend learning beyond the classroom walls. Students are highly engaged and are able to demonstrate unique and creative way to respond to the use of technology that offers some distinctive affordance to users.
SpeedCam: Towards Efficient Flow Monitoring for Multipath Communication

Network monitoring is essential for traffic engineering, maintenance, and troubleshooting purposes and thus forms an integral part of network management. However, observing each and every packet may not be feasible or at least be very costly. It is therefore crucial for network operators to ensure a scalable and efficient monitoring. With the emergence of multipath communication as facilitated by new network architectures like SCION, monitoring becomes an even more challenging task. In a multipath network, operators need to be able to monitor their customers’ traffic flows across different network paths to ensure optimal network utilization, fault tolerance and fairness. Traditional single-path flow monitoring such as sampling-based mechanisms fall short, since packets may be spread across a potentially large number of different paths. To address this challenge, this paper proposes SPEEDCAM, a new approach that aims to achieve scalable and efficient flow monitoring in multi-path networks. Our approach which is based on probabilistic probe selection significantly reduces the number of required monitoring probes, while enabling an effective flow information gathering. With an implementation of SPEEDCAM in the SCIONLab network, we demonstrate more than 89% of monitoring accuracy with a small fraction of network routers covering only 50% of network traffic in the multipath network.
Designing of Wet Transformers as Artificial Soil for Flower Tree Cultivation

This research is focusing on designing of wet garbage transformers as artificial soil. According to the result, it represented that the artificial soil can be brought to cultivate Marigold trees to be abundant with giving for Grade B flowers. Moreover, it has the duration to bloom in short times with good quality of tree’s height and suitable size of flower’s diameter. However, the customer satisfaction is depending on equipment uniqueness and applying convenience with the regression equation that is congruent to ŷ = (4.478) +(-0.002 X1) +(-0.066 X2) +(0.011 X3) +(0.074 X4) as in the form of criteria scores which is congruent to Z = (-0.003 X1) +(-0.088 X2) +(0.017 X3) +(0.095 X4).satisfaction at the excellent level for people in the development communities (Mean=4.10, S.D. =0.78).&#x0D; &#x0D; Received: 4 March 2021 / Accepted: 6 May 2021 / Published: 8 July 2021
Formation of Communicative Skills of Future Teachers in the Process of Studying at Higher Educational Institutions

Solving communication problems in the digital environment is becoming increasingly difficult for both teachers and students. The formation of communicative skills of future teachers in the learning process is also important from the standpoint of increasing relevance in the development of emotional intelligence of the personality. The purpose of the academic paper was to develop and test a model of formation of communicative skills of future teachers in the process of studying at higher educational institutions (HEI). The research methodology is qualitative and quantitative; it is based on a quantitative assessment of the formation success of communication skills in the process of teaching the course “Psychology” for 120 students of the Faculty of Philology in Ukraine. Qualitative analysis of the effectiveness of the developed formation model of future teachers’ communicative skills involved observing the teachers’ and students’ behavior of control and experimental groups of the course. The results demonstrate the effectiveness of the proposed formation model of future teachers’ communicative skills in the process of studying at HEI. A liberal approach to teaching ensures the participation of students in discussions, confidence, lack of fear of making mistakes. As a result, the expression of false opinion does not reduce the level of participation in the communication process in the group. The teacher’s behavior forms his image and attitude to the course as a whole, the level of interest and ease of perception of information by students, regardless of the complexity level of the material. Feedback in the form of teacher – student – teacher is extremely effective in the formation of communication skills. The student-centered approach provided a better level of communication skills in the experimental group. In the control group, the traditional approach based on classical teaching methods reduced the level of communication, both in lectures and seminars. The practical value of the research results lies in the possibility of integration of certain strategies and methods as components of the developed formation model of communicative skills of future teachers in the process of teaching specialized courses at HEI.
Model Predict, Observe and Explain Pembelajaran Muatan IPS Kelas IV di SDN Pondok Bambu 06 Jakarta

The background of the research is the fact that learning outcomes are still below the KKM on social studies content, namely 80%. Researchers used Predict, Observe and Explain models in improving SD social studies learning outcomes. The research model design was classroom action research which was adapted from the model of Kemmis and Mc.Taggart. The tools used to collect data in this study were student and teacher observation data to see the application of the Predict, Observe and Explain models and evaluation sheets in measuring the improvement of learning outcomes. The research achievement can be seen from the application of the Predict, Observe and Explain model stages to students and teachers which exceed 90% and the percentage of learning outcomes exceeds 80%. Discussion, learning outcomes in cycle I is 52%, cycle II is 65% and cycle III is 100%. Student observations in the first cycle were 60%, the second cycle was 74, the third cycle was 92. Meanwhile, the teacher's observation in cycle I is 70, cycle II is 78, and cycle III is 96. It is concluded that the Predict, Observe and Explain model is very effective for teachers to increase their creative innovation abilities and can improve learning outcomes, especially in grade IV SD social studies content. In cycle I there are still weaknesses of students who have not adapted to the learning carried out by the teacher. The teacher still hasn't done all the steps from the Predict, Observe and Explain model so that it needs to be corrected in the second cycle. In the second cycle students were able to adapt to the learning model carried out by the teacher. The teacher has started to master the Predict, Observe and Explain model but has not reached the target so it needs improvement for the third cycle. from the third cycle student learning outcomes as well as student monitoring actions and teacher monitoring actions using the Predict, Observe, and Explain models are as expected. It can be said that the Predict, Observe, and Explain models are alternative models used in elementary schools.