Reviewerly/exHarmony huggingface dataset:
FORMATION OF COMPLETE REFLEX CONSTRUCTIONS OF FUTURE PEDAGOGUE IN THE EDUCATIONAL ENVIRONMENT OF HIGHER EDUCATION

The article substantiates the relevance and expediency of the implementation of reflexively oriented education of a future teacher in a modern institution of higher education. The essence of reflexive constructs of the future teacher as unity of reflexive competence and reflexively deterministic constructs is revealed. The reflexive competence of the future teacher is defined as professional-personal metaquality and is represented in two planes: 1) as an independent construct; 2) as a determinant, which determines the development of reflexively saturated constructs. In the context of reflexive determination, the motivational, semantic and subjective fields of personality are presented. The directions of the process of transformation of components of reflexive competence, as well as motives, meanings, professional subjectivity in the plane of their reflexive determination are revealed. The phenomenon of the educational environment of the institution of higher education is analyzed and attention is focused on its reflexive orientation. The logic and peculiarities of the formation of reflexive constructs of the future teacher in accordance with the phases of the environment (adaptation to the environment, the active reproduction of the environment by students, the active influence of students on the environment and the independent creation of the environment) are highlighted.
Pengujian Distribusi Beban Kerja Web Secara Statis pada Sistem Server Web Berbasis Cluster dengan Algoritma Never Queue

The increase in web traffic and the development of network bandwidth that is relatively faster than the development of microprocessor technology today causes the one point server platform to be no longer sufficient to meet the scalability requirements of web server systems. Multiple server platforms are the answer. One known solution is cluster-based web server systems. In this study, a cluster-based web server system would be designed with the Never Queue algorithm and continued with testing the distribution of web workload on this system. The tests were carried out by generating HTTP workloads statically (with fast HTTP requests per fixed second) and dynamically (rapid HTTP requests per second that change or rise regularly) from the client to the web server system pool. Followed by analyzing data package traffic. In this study, the results of static testing with rapid HTTP requests per second which still showed that the Never Queue algorithm distributed HTTP requests to the web server system pool properly and got HTTP replies that tend to be stable at the HTTP average of 1031.8 replies/s. As for the rapid parameters of TCP connections, response times and errors increased with the rapid increasing HTTP requests generated. The average output was at 2,983 Mbps.
APPLICATION OF SENSORY SYSTEMS TO MOVE DOGS WITH VISUAL IMPAIRMENT

This study focuses on the sensory systems application in dog´s movements with visual impairment. The aim of this work was realization and design the production of orthotic instrument for the blind dog because of there has been nothing similar at the market available yet. The work has used non-invasive detection of the animal´s body measure. An instrument has been generated by using CAD software. By help of 3D printer, the virtual model has become real. The product has been cleansed and a system for gripping and for eye protectors has been applied. By studying different types of sensor for application we have decided to choose an ultrasonic position sensor which is harmless for dog´s hearing.  A sensor has detected an approaching obstacle by using the Arduino platform. The obtained results and production of this device can be helpful in innovative development of finding new ways in animal´s rehabilitation as well as in rehabilitation of people.
Quantum Electron-Photon Entanglement in the Strong-Coupling Regime

We investigate coherent interactions between cavity photons and electrons at arbitrary coupling strengths, and propose a road-map to approach this regime experimentally. As an example, we explore photon-mediated entanglement of two free electrons. © 2019 The Author(s)
Stop Coding and Start Writing

Part I explained the importance of SQL and built a solid foundation for SQL development. Part II discussed sets and advanced features needed to build powerful SQL statements. We now have the motivation, efficient processes, and advanced knowledge, but that is not enough. Part III discusses the styles and patterns needed to write elegant SQL.
PEMBELAJARAN MEMPRODUKSI TEKS EKSPOSISI DENGAN MENGGUNAKAN METODE PROBLEM BASED LEARNING

The learning title produces exposition texts by using problem based learning method in class X T KR students. As for the background of the problem that not all students can understand especially to present their ideas related to what is taught in Indonesian language subjects. Background problem there are 3 points: Is the Problem Based Learning method can improve the ability of writing exposition text ?, Is the method of learning problem-based effective learning used in learning writing exposition text ?, is there a difference before and after using the method of problem based learning on X? The research design used by researchers is One-Group Pretest-Postest Design. Where this design is preted before treatment and postes after treatment. Thus the treatment results can be known more accurately, because it can compare test results between before and after treatment. The population of SMK BINA PEMUDA is less than 150 people and the sample of the research is 20 students with 18 men and 2 women. The result of the research before using the method is seen from the average value of the initial test of 47.75 and the mean value of the final test 57 with the mean of 9,25 and the value of t table = 1, 70 turns t count> t table (7.64> 1.70), which means that the interruption between the initial test and the final test increased significantly.
Implication Principles in Routley Arithmetic – Chris Mortensen

The 1976 annual conference of the Australasian Association for Logic, held in Canberra at the Research School of Sciences of the Australian National University, was memorable in various ways. The AAL had been moribund for some years, so the conference represented a re-coming-together of Australian and New Zealand logicians.
4차 산업혁명시대 전통미술놀이를 적용한 학습자의 공감능력 향상에 관한 연구

In this study, there is a purpose the influence of traditional artistic activities on the empathic ability of primary school students. Seoul city Elementary School 5th grade 52 people were divided into a control group and an experiment group. We surveyed through the questionnaire on the Personal empathy ability (Morality, Emotionality, Sociality) and the aesthetic empathy ability (Aesthetic impression, Independence, Openness of thought) before and after the education of the two groups. The results were analyzed using statistics analysis program SPSS 22.0 program. In addition, we verified the effect of this study through portfolio, classroom activity, impression sentences, and observation. As a result, Students who participated in education improved their Morality, Emotionality, Sociality, Aesthetic impression, Independence, Openness of thought compared to the control group. Therefore, it was confirmed that this study program has an influence on improvement of empathy ability of students. In this study, we show that traditional artistic activities have a positive influence on human emotional communication and empathy ability, which indicates the direction of future education in the fourth industrial revolution.
Abstract MS1-3: Artificial intelligence to optimize the accuracy and predictiveness of breast cancer pathology

Abstract Pathologic analysis of patient tissue specimens plays a central role in breast oncology. Recent advances in artificial intelligence and computer vision offer tremendous potential for discovering new pathologic mechanisms of cancer treatment response and identifying new diagnostics for matching patients and therapies. We will discuss these new advances and their potential for accelerating progress in the diagnosis and treatment of breast cancer. Citation Format: Beck A. Artificial intelligence to optimize the accuracy and predictiveness of breast cancer pathology [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr MS1-3.
Transforming Relational Database to Ontology Using Multiple Tables

Ontology is a data model for sharing knowledge and the general information on the concept or word. Data are sharable, repeatedly used in ontology. Ontology is a programming language using the database component for triggering and transforming relational database to ontology model to increase the power of data. Ontology is using OWL (WEB ONTOLOGY LANGUAGE) it is like SQL (STRUCTURE QUERY LANGUAGE). Reason for moving relational database to ontology is to map each table to class, each column mapping to the database property and each row are mapping to an instance. It can be used to only move the data. Transforming table is only possible in Relational database to ontology and not use in reverse direction. ONTOLOGY is used for developing the set of data and their structure of data for other programs. Program is solved by the method of application software agent using ontology. Ontology files are stored in relational database for continuing storage of data, so it can avoid the lacking of data. Reason for moving relational database to ontology is mapping of each table to class.
LibGuides: Research Workshop I, Top 10 Library Research Hacks, Allegheny: #4 Find Article Databases by Subject

This guide will be used in the Research Workshop I: Top Ten Research Hacks at the Allegheny Campus.
Comparison of neural network classifiers for automatic target recognition

We consider a challenge problem involving the automatic detection of large commercial vehicles such as trucks, buses, and tractor-trailers in Quickbird EO pan imagery. Three target classifiers are evaluated: a “bagged” perceptron algorithm (BPA) that uses an ensemble method known as bootstrap aggregation to increase classification performance, a convolutional neural network (CNN) implemented using the MobileNet architecture in TensorFlow, and a memory-based classifier (MBC), which also uses bagging to increase performance. As expected, the CNN significantly outperformed the BPA. Surprisingly, the performance of the MBC was only slightly below that of the CNN. We discuss these results and their implications for this and other similar applications.
Dari, Dan KEMAMPUAN KOGNITIF SISWA MENGERJAKAN SOAL PISA DITINJAU DARI GAYA KOGNITIF VISUALIZER DAN VERBALIZER

Changing curriculum is one of the efforts chosen by the government to improve the quality of human skills through students so they can compete at national and international levels. This study aims to describe the Psychomotor Ability of Students in the PISA Problem Judging from the Visualizer Cognitive Style and Verbalizer. Profile of Psychomotor Ability of the subject of visualizer in the PISA Problem can think directly about the shape of abstract objects in the form of real objects by describing what is being thought and doing trial and error or trying to conceptualize related situations, and selecting or using ordinary PISA Problem objects with write it down. The visualizer subject in the PISA problem uses images, pays attention to the surrounding environment, speaks what is being thought for, is less serious and careful during work. The Psychomotor Profile Profile of the verbalizer subject in the PISA problem is lacking in translating abstractly using oral in explaining the completion of the PISA problem from the real situation in the form of an object. compatibility of the model of the object by comparing abstract objects and real objects. The subject of the verbalizer in the PISA problem uses oral to convey the ideas and knowledge possessed, focused, does not pay attention to the surrounding environment, verbally says what is being thought, works according to the procedure, is serious and thorough while working.
Optimization of Nonlinear Nanophotonic Media for Artificial Neural Inference

We show optical waves passing through a nanophotonic medium can perform artificial neural computing. Such a medium exploits linear and nonlinear scatterers to realize complex input-output mapping far beyond the capabilities of traditional nanophotonic devices. © 2019 The Author(s)
Correction to: Logics for Computer Science

All the chapters of this book were inadvertently published without including the extra supplementary materials. The same has been included now.
OPTIMASI PENJADWALAN SISTEM PENGAIRAN AIR IRIGASI MENGGUNAKAN METODE ALGORITMA GENETIKA DENGAN PENDEKATAN GEOGRAFIS SPASIAL (STUDI KASUS WADUK KEULILING KABUPATEN ACEH BESAR)

Keuliling Reservoir which is located in Kuta Cot Glie, Aceh Besar is one of the reservoirs that has a function as a provider of water for irrigation needs, supports food self-sufficiency programs and others. The reservoir area has limited volume of water so, the most important water-saving irrigation water should be done to determine the scheduling of the distribution of irrigation water to the area of rice fields. The purpose of this research is to develop a method that can be used to the calculation of scheduling and can be applied to the irrigation of the Keuliling Reservoir watershed in Aceh Besar. In this study, the Genetic Algorithm method was used to determine the optimization of the Keuliling Reservoir in the Greater Aceh District. From the analysis that has been done, the scheduling process carried out so far is 72 hours where the amount of water entering the rice fields is 1,038,211,600 liters and is wasted into the river by 257,788,400 liters. The best irrigation time obtained is based on the results of calculations using the 48 Genetic Algorithm method in which the amount of water entering the rice field area is 794,149,300 liters and is wasted into the river by 69,850,700 liters. While the visualization of these results can be displayed using the Matlab GUI software. Keywords: Irrigation, Scheduling, Genetic Algorithms
Exploring the relationship between teacher professionality and occupational experience

Professional development is a key process within the wider agenda of raising standards and increasing societal growth capacity by improving teaching policy and practice in education. The aim of the research was to explore the relations between teacherâ€™s professionality and occupational qualifications. Forty teachers were asked to estimate their pedagogical, core and holistic representation competencies. The correlation analysis was applied to investigate the relations between the length of employment and the competencies. The results indicated positive but weak correlations that suggest the relationship between learning gains and development need as well as between assessment and targeted feedback. A negative but still weak correlation was found between the length of employment and ensuring physical, mental and emotional wellbeing. Future work will focus on elaborating the instrument used in this study as well as the experimental setup in order to gain further insights and reliable results.&#x0D; Keywords: Professional development, occupational qualification, lifelong learning.
Integrated photonic devices for measurement-device-independent quantum key distribution

We experimentally demonstrate integrated photonic devices for measurement-device-independent quantum key distribution with state of the art error and clock rates which will lead to more cost effective, practical, and secure communication. © 2019 The Author(s)
대학생의 학습 및 진로코칭프로그램에 대한 효과분석 - 3UP 학습 및 진로코칭을 중심으로 -

While demands for aid and education for employment of students at universities are increasing due to socioeconomic issues and job instability, career education at colleges does not meet the expectations. Accordingly, this research aims to provide information for job coaching and related research by analyzing cases of career coaching and educating university students. The subjects of this case study were nine selected students out of 75 whom were under my supervision, that participated in the 3UP Education and Career Coaching program at A University located in Jeju-Si, South Korea. The coaching proceeded once a week for an hour from June to December 2017. The nine subjects at the B Center of A University were coached five times. Neuro Feedback Coaching was applied for this research at the B center and the coaching conversation model used in this particular program was the 5A Model. The case analysis is primarily focused on the satisfactions of students before and after coaching and the resulting evaluations of the program. The analysis shows that the coached subjects had a very high satisfaction, and had a positive effect on issue of change, confidence, clarity of purpose and career exploration. This research indicates the necessity and advantage of both career coaching and educating college students. The results of this study can be utilized for developing long term and general career coaching programs for a wider range of students at universities.
Choice of Appropriate Power Transformation of Skewed Distribution for Quantile Regression Model

Quantile Regression (QR) performed better than Ordinary Least Square (OLS) when the Data is skewed. Its best result can be achieved when the Data is transformed. Quantreg package of R software was used to illustrate the various power transformation fitness for quantile regression model. The analysis shows that the best result was obtained from the square root of y transformation with an average error term of 0.9539, -0.0494, 0.0238, -0.5309 and -0.7544 for 10th, 25th, 50th, 75th and 90th quantile respectively. From the results obtained, it shows that model transformation can greatly improve the result of quantile regression model.
Differences in the Tendency of Academic Burn-Out according to Sasang Constitution among the Healthcare College Students

Academic burn-out is a state of emotional, and physical exhaustion caused by prolonged stress over the course of the semester and academic year. It is composed of exhaustion, inefficacy, and cynicism. The purpose of this study was to reveal that the academic burn-out would be significantly different between early and the end stage of semester, and the sub pattern would be different according to Sasang constitution among the healthcare college students. The first survey was conducted in early March 2018 and the second one was done in the end of June 2018. Total 386 questionnaires concerning KS-15 of Sasang Constitution, MBI-SS of academic burn-out and general characteristics such as drinking, smoking and so on were collected and 9 of them were excluded, because of insufficient answers. The academic burn-out score significantly increased from 56 in early stage of semester to 63 in the end stage of semester (p .001). In sub-pattern analysis, the exhaustion score significantly increased from 21.3 to 26.7 (p .001), and cynicism score increased from 15.4 to 17 (p .001). The cynicism score of drinking alcohol group (16.21±5.572) was higher than the non-drinking alcohol group (14.62±5.859), and the exhaustion score of smoking group (23.75±6.942) was significantly higher than that of non-smoking group (21.05±6.697) in early stage of semester. The exhaustion score of female (27.47±5.762) was higher than that of male (26.02±6.536) (p =.024), and the inefficacy score of Taeeumin (20.13±5.244) was significantly higher than that of Soyangin (18.15±5.588) in the end stage of semester. The healthcare college student experiences academic burn-out, and there is significantly different according to gender and SC in sub-pattern. Further study is needed to manage the academic burn-out according gender and Sasang constitution.
Guides @ UF: Hum 6836 Guide: Finding Books and eBooks

This guide is meant to help students taking Hum 6836, the Graduate Digital Humanities Studio.
Quality Assessment of Virtual Reality Videos

360-degree spherical images/videos, also called virtual reality (VR) images/videos, can provide an immersive experience of real scenes in some specific systems. This makes it widely used in VR games, sporting events and VR movies. However, due to its high resolution, it is so difficult to transmit, compress or store VR images/videos. Therefore, it is significant to study how noise affects the quality of VR images. To this end, this paper builds a VR video database, and carries out subjective and objective experiments on them. Specifically, first, six standard panoramic videos are processed by inputting three kinds of distorted types to establish a VR video database which comprises 96 videos. Second, we utilize the Double Stimulus Injury Scale (DSIS) for subjective experiments. All subjective scores are from 20 non-professional viewers. Third, we utilize 6 existing objective metrics to validate our database. Finally, experimental results demonstrate that the established VR database is suitable for subjective and objective quality evaluation of VR video. Our work has alleviated the problem of missing VR databases.
Data Encoding and Cost Optimized Distribution for Efficient and Secure Storage in Cloud Federation

Cloud federation is the future paradigm of computing which can reduce cost and avoid vendor lock-in problem. Cloud providers are now collaborating for increasing revenue and building trust among customers and indirectly help in better resource utilisation of every service provider in the federation. In the proposed framework all collaborating service providers share their storage resources and use single sign-on federated identity management model which will reduce the overhead of maintaining multiple credentials and strengthen the authentication process. Initially, files are encrypted with the secret key created with client id, session token and a random number which will improve the data security and based on the service level selected for files erasure codes are applied, which will reduce storage overhead as compared to the traditional replication techniques. Hence overall reliability, availability and security of data stored in the cloud federation is improved.