Reviewerly/exHarmony huggingface dataset:
SPE Strong: Strengthening Our Core: Strengthening the Quality of SPE’s Technical Content

President's column Our Society has a wealth of technical content, and it is rapidly growing. The value of that technical content derives from the quality of it. Having high-quality content will continue to strengthen SPE’s professional reputation, which is critical when entering new and emerging markets, attracting new members, and, most importantly, maintaining and engaging our current members and corporate sponsors. Our technical content that is consumed daily by our members is also the source of knowledge for the incoming generation, and we need to ensure that it is of the highest quality for our future innovators and leaders to excel. To strengthen the quality of SPE’s technical content, I have outlined the following objectives: 1) Increase the awareness and use of all the tools and methods provided to authors to create high-quality papers 2) Educate program committees about their roles and responsibilities toward working with authors to ensure technical quality 3) Establish methods by which to track technical quality within SPE’s published and presented content 4) Support and develop a better process for formal peer review. When I started as a professional member, there was a strong sense of pride around getting an abstract selected and having the final paper worthy of the SPE logo appearing on it. Companies took pride in having their employees become authors and got very involved in the writing of the manuscript, as their name would also appear on it. Some of the more involved companies garnered an industry reputation of publishing very high-quality papers, and those presentation rooms would be standing room only as a result.• As SPE has expanded the number of conferences globally, more members have the opportunity to have their work included as an SPE paper. I remember submitting my first abstract and getting it accepted. This was in 1997, and it was for a section event that had papered proceedings: The Gulf Coast Section Electric Submersible Pump Workshop. When I informed my management at Chevron that I had an accepted abstract, they rallied mentors to guide me as I wrote the technical paper. They wanted to ensure that the final manuscript was a good one because not only was my name on it, so was theirs. There was a lot of work put into that paper and many rehearsals for the presentation itself. It was a huge learning experience for me not only writing the paper but also enduring the critiques of my peers/mentors, but the result was a paper that I was proud to have my name on and the confidence to present it.• Since my first paper in 1997, SPE membership and events that offer a call for papers have grown substantially. As global membership has increased dramatically, the number of papers from SPE conferences has more than doubled.
Use of Modified Symmetrically Balanced J Measure to Evaluate Association Rules

오늘날 정보통신 및 모바일 기술의 발달로 인해 빅 데이터의 시대가 도래하였다. 데이터 마이닝은 빅 데이터 기술 중에 가장 주목받고 있으며, 특히 연관성 규칙은 흥미도 측도에 의해 데이터베이스 내의 항목들 간에 관련성 유무를 탐색하는 기법이다. 본 논문에서는 연관성 규칙의 생성을 위한 평가 기준으로 대칭적 균형화 교차 엔트로피를 변형하여 수정된 대칭적 균형화 J 측도를 제안하고 예제를 통해 기존의 J 측도 기반 측도들과 비교하였다. 그 결과, 동시 발생 빈도가 증가하거나 불일치 빈도가 증가하는 경우 모두 기존의 측도들인 J 측도, 균형화된 교차 엔트로피 측도, 대칭적 J 측도, 그리고 대칭적 균형화 교차 엔트로피 측도는 감소하다가 증가하는 경향을 나타내었다. 그러나 본 논문에서 제안하는 수정된 대칭적 균형화 J 측도는 동시 발생 빈도가 증가하는 경우에는 증가하고, 불일치 빈도가 증가하는 경우에는 감소하는 경향을 나타내고 있었다. 또한 기존의 J 기반의 측도들은 항상 양의 값만을 취한 반면에 수정된 대칭적 균형화 J 측도는 음의 값으로 나타나는 경우도 있고 양의 값으로 계산되는 경우도 있어서 연관성의 방향을 잘 표현하는 측도라는 사실을 확인하였다.Today, the development of ICT and mobile technologies has brought the age of big data. Data mining has received the most attention among big data technologies. In particular, the association rule is a technique for searching for relationships among items in a database by interestingness measures. In this paper, we proposed a modified symmetrically balanced J measure (MSBCE) by modifying the symmetrically balanced cross-entropy as an evaluation criterion for generating association rules and compared J based measures with examples. As a result, the existing measures, J measure, balanced cross entropy measure, symmetric J measure, and symmetrically balanced cross entropy measure tended to decrease and then increase when the co-occurrence frequency or the discrepancy frequency increased. However, MSBCE proposed in this paper tended to increase when the frequency of co-occurrences increased and decrease when the frequency of mismatch increased. In addition, while existing J based measures always take only positive values, MSBCE may appear as negative values or may be calculated as positive values. Thus, it can be seen as a measure of the direction of association.
PERSEPSI SISWA TENTANG KEMAMPUAN MENGAJAR GURU DAN MOTIVASI BELAJAR SISWA DENGAN PRESTASI BELAJAR EKONOMI

Abstract Learning achievement is the result of a person or student who is obtained after taking a test that can be seen in the form of numbers or values. Good learning achievement is expected by all parties, not only students but also teachers and parents. Good learning achievement is the result of the absorption of good lessons. Absorption of good lessons is supported by students' perceptions of teacher teaching abilities and good learning motivation. This study aims to determine the relationship between students 'perceptions of teacher teaching abilities and learning motivation with students' economic learning achievement.  The method used is ex post facto, with the level of explanatory research classified as associative research, sample design is probability sampling, sampling used is simple random sampling using the T-Yamane formula, testing hypotheses using product moment correlation statistics. Based on statistical tests using product moment correlation is known:  First, there is a relationship between students 'perceptions of the teacher's teaching ability and students' learning motivation. Second, there is a relationship between students 'learning motivation and students' economic learning achievement.
Developing Interactive Listening Comprehension Materials in Self-Learning Center (Slc) For the Students At Iain Kediri

This research and development (R&D) study is conducted to develop Interactive Listening Comprehension Materials in Self-Learning Center (SLC) for the Students at State Islamic Institutes (IAIN) Kediri. The research involves the students of basic level of the university students, SLC advisor, and four experts. The instruments in needs survey consist of questionnaires, an interview guide, and field notes. The data from the students is calculated in percentage and those from the SLC advisor and from the field notes are described in qualitative way. The data from needs survey is used as the basis for the materials development. A validation form is used to collect the expertsâ€™ judgment on the materials. The experts validate the materials in terms of the program and the content of language. The data from the experts are analyzed in percentage and also described qualitatively
Reconsidered Content of Upbringing in Modern Pedagogy

Upbringing both now and always is humanistic in its nature and implies focus on a child’s personality as the supreme value and on their capacity for self-actualization and self-development. It is important to realize the priorities in modern-day educational activity. These priorities are the humanization principle which means creating conditions for child’s development and self-development; facilitation as the basis of the educational activities; the co-existence principle; the functionality which means commitment to helping children and encouraging coherency in their socialization and individualization; processuality of educational activities, meaning the pedagogue’s ability to work ‘in the process’ and in direct interaction with children. This article emphasizes the following conditions for efficiency of educational activities in modern world: focus on the present-day reality; integration as the basis of inclusion; reflective competence of a teacher and pedagogue; investigative nature of educational activity.
A Case Study on Career Coaching: Focusing on Career Meta-competencies

본 연구의 목적은 경력코칭 과정을 통해 개인이 스스로의 경력과 관련된 태도와 행동에 어떠한 변화를 경험하는지 이해하는 것이다. 이를 위해, 국내 한 대학에서 이루어진 경력코칭 프로그램의 참여자(피코치) 중 성공사례들을 선정하여 인터뷰를 수행하였으며, 이들이 코칭을 통해 경력개발과 관련하여 어떠한 변화를 경험했는지 탐구하였다. 분석 결과에 따르면, 경력코칭을 통해 피코치들은 본인의 선호, 가치, 강점, 약점을 이해하고 이를 통해 경력 정체성 인식을 높일 수 있었으며, 이를 바탕으로 경력개발 관련 활동을 주도적으로 수행하기 시작했다. 이들은 스스로 경력 목표를 설정하고 이를 준비하는 행동을 할 뿐 아니라, 더 나아가 경력개발의 과정 자체에 대해서도 성찰하는 경험을 하였다. 본 연구 결과가 보여주듯이, 경력코칭을 통해 피코치들은 변화하는 경력 환경 속에서 본인이 추구하는 경력 경로를 실현하고, 주관적 경력 성공을 추구하는 것을 가능하게 하는 경력 메타역량, 즉 경력 정체성 인식과 경력 적응력을 개발할 수 있었다.The purpose of this study was to explore and understand how coaching might contribute to career development. For this purpose, six coachees who had successfully completed a series of coaching sessions provided by a university in South Korea were selected and interviewed. The analysis of the interview data shows that coachees could better understand their own preferences, values, strengths, and weaknesses, improve self-awareness, and eventually come to take the initiative to pursue their own career development through the course of coaching sessions. Furthermore, coachees reflected on the whole process of setting career goals and moving toward those goals, thereby learning how to develop careers. The findings imply that coaching potentially fosters coachees’ career meta-competencies which enable them to pursue the career path set for themselves and to accomplish their own subjective career success in the changing work environment.
Using Multi-level Fuzzy Comprehensive Evaluation to Optimize the Quality of Network Classroom Teaching Evaluation for Universities

Contraposing to the actual problems in the evaluation of network classroom teaching quality in Colleges and universities, a scientific evaluation index system of classroom teaching quality is established by discussing the basic principle of multi-level fuzzy comprehensive evaluation, and the weight of evaluation index is reasonably determined by analytic hierarchy process(AHP). It reduces the interference of subjective factors and innovatively constructs a scientific, rational and effective classroom teaching approach with multi-level fuzzy comprehensive evaluation(FCE) model of quality. The practical application results show that the scheme can define the fuzziness of teaching quality by different levels, to solve the problem of weight distribution, evaluate the teaching quality scientifically, objectively and impartially, and improve the accuracy of teaching evaluation.
The Role of Drama in Developing Communication Competencies of Early Primary School Students

The article is an attempt to answer the question of what role drama plays in the development of competences among early childhood education pupils. The theoretical part presents the concepts of competences and key competences in the context of linguistic, cognitive and social processes. Next, the authors briefly discuss the method of drama by presenting the classification of G. Bolton’s drama techniques. The practical part discusses the results of tests carried out among teachers (posttest) and among pupils (pretest, posttest, and language proficiency test).
Semantic Segmentation on Automotive Radar Maps.

As radar sensors can measure an object's range and velocity with a high degree of precision, moving objects can be successfully classified, as well. Classifying stationary objects still needs a lot of research, however. In this paper, we use popular semantic segmentation networks in order to classify the vehicle's immediate infrastructure. To this end, a full 3D measurement is performed with a test vehicle equipped with four high resolution corner radar sensors. A preprocessed point cloud is transformed into various radar maps for input to a neural network. Simulations as well as real-world measurements show an overall intersection over union of 84 and 77%, respectively, as well as an overall accuracy of 95 and 90%, respectively, being a new benchmark for this young research field.
Recursive Orthogonal Diffusion for Deeper Encryption of Color Images

Since the advent of the internet, we have got to witness various new inventions and advancements in the field of cyber security and privacy. Earlier, images which were difficult to be sent to the receiver now can be sent at the tap of a button. Hence, in this paper, an encryption algorithm for a colour image using DNA encoding and the chaotic sequence is proposed. As for images, the correlation is the major constraint which gives backdoor for the attackers. To weaken the correlation an adaptive diffusion algorithm using a tent map random number generator is proposed in the paper. These random numbers are used for selecting a reference row and column to carry out the diffusion process, chronologically. The process is carried out recursively until the required correlation is achieved. The suitability of the algorithm against statistical attack is validated through some metric analysis.
Quantifying Uncertainty in Online Regression Forests

Accurately quantifying uncertainty in predictions is essential for the deployment of machine learning algorithms in critical applications where mistakes are costly. Most approaches to quantifying p ...
Study of consumer buying behaviour with reference to neuromarketing and its limitations

In today’s vibrant business surroundings the same marketing techniques cannot be used in order to withstand the competitive market. There is a necessity to integrate other disciples along with the traditional and modern marketing techniques to leap forward. Neuromarketing is a blend of psychology, economics, and neuroscience. Neuromarketing is a technique of marketing where we study the consumers with the help of neuroscience. Neuromarketing emerged in the year 2002. During its initial years, it gained a lot of attraction. But its critical aspect remained unexplored which includes how to practice it. Consumers are complex creatures. Neuromarketing gives better insight to purchase decision. When neuromarketing come into force, the misconception of the consumer being a rational will phase out! Neuroscience is the main factor which helps in neuromarketing. There is research going on to find out techniques for better neuromarketing so that in and out of consumers aware known to the marketers. The main problem of neuromarketing will be the ethical issue which are practiced by many companies. The principles which many companies are following will be thrown off. Neuromarketing is a combination of consumer behavior and neuroscience. This paper will describe the linkage between the neuroscience and consumer behaviour which leads to neuromarketing.
Использование скоростных законов в некоторых задачах управления подводными аппаратами

The article deals with two tasks of providing the rear motion of autonomous underwater vehicles. The first task is to find the paths with specific yaw angle along the given set of target points in the plane. For this task we use linear models that simplify the description of the apparatus motion in the horizontal and vertical planes. In the horizontal plane the constraints are achieved. In Vertical plane we use a constant depth also for simplifying model. The second task is to follow along the trajectory in space. The main aspects here are the position in space and its orientation to the yaw angle. This model allows the use of four independent variables. For the decision of this task small modification with backstepping algorithm can be used. The proposed solutions can be used to provide astatism for controlled variables. As a result the apparatus passes close enough to the waypoints, and the device is on a given trajectory with sufficient accuracy. The success and effectiveness of the proposed approaches are illustrated by their implementation and conducting experiments in the MATLAB-Simulink environment.
How do novels hang together? Characterization as registerial meta-stability

Abstract How does a novel like Middlemarch cohere, since it is made up of at least two very different kinds of text, narrative on the one hand and dialogue on the other? In this paper, we look to two authorities: to literature, where authors seem to agree that it is consistency in voice that holds both narrators and characters together, and to linguistics, where a computerized corpus allows us to measure variation between and within characters. Where previous researchers found unsystematic variations, we find meta-stability: characters remain true to themselves only through variation. The way in which Dorothea addresses her future husband differs from the way she addresses her little sister in Chapter Five of Middlemarch but this is in turn a special case of differences between the way in which Dorothea addresses men and the way in which she addresses women. Such a difference serves to symbolically articulate a key theme of Eliot’s novel – the middle ground that every woman must occupy in the march from the world of our forefathers through that of our husbands to that of our children.
Joint Semantic and Distributional Word Representations with Multi-Graph Embeddings

Word embeddings continue to be of great use for NLP researchers and practitioners due to their training speed and easiness of use and distribution.Prior work has shown that the representation of those words can be improved by the use of semantic knowledge-bases.In this paper we propose a novel way of combining those knowledge-bases while the lexical information of co-occurrences of words remains.It is conceptually clear, as it consists in mapping both distributional and semantic information into a multi-graph and modifying existing node embeddings techniques to compute word representations.Our experiments show improved results compared to vanilla word embeddings, retrofitting and concatenation techniques using the same information, on a variety of data-sets of word similarities.
Exact Inference for Media Data Contingency Table Analysis

미디어 채널 사용이 급격히 증가함에 따라 고객들의 프라이버시 침해우려가 증가하고 있다. 이러한 행태를 분석하기 위해 분할표 분석이 사용될 수 있으며, 분할표 분석을 위해 주로 근사적인 분포를 이용한다. 하지만 빈도수가 작을 경우에는 정확추론이 선호되며, 이에 대해 다양한 몬테카를로 방법이 사용되고 있지만 그 결과가 만족스럽지 못하다. 이에 대한 대안으로 최근에 확률적근사 몬테카를로 주표집(SAMCIS; Cheon et al., 2014) 알고리즘이 제안되었다. 본 연구는 SAMCIS를 이용하여 2016년과 2018년 기간의 미디어패널 자료에서 다양한 분할표 분석을 진행하였다. SAMCIS 알고리즘은 국소 트랩의 문제를 해결하였고 적절한 표본공간을 조절할 수 있는 능력을 갖추고 있다. 이에 본 논문에서는 SAMCIS 알고리즘을 이용하여 연도별 프라이버시 침해 우려와 관련 있는 여러 변수를 선택한 후 분할표 분석을 실시하였다. 분석 결과, 셀 빈도수가 작을 경우 근사추론보다 정확추론이 선호되며 SAMCIS 알고리즘이 CaB 알고리즘에 비해 보다 정확한 추론을 제공함을 알 수 있었다. 특히 반려동물소유와 SNS 활동이 2016년에는 프라이버시 침해 차이가 있었으나 2018년에는 차이가 없음을 알 수 있었고, 성별, 카페활동 유무, 반려동물 소유유무에 따라 프라이버시 침해의 차이는 2016년에는 없었으나 2018년에는 있었다.With the rapid increase in media channel usage, there is an increasing concern for customers privacy breaches. To analyze these behaviors, contingency table analysis can be used, mainly using approximate distributions. However, if the cell frequency is small, exact inference is preferred, and various Monte Carlo methods are used, but the result is not satisfactory. As an alternative, a stochastic approximation Monte Carlo importance sampling (SAMCIS; Cheon et al., 2014) algorithm has recently been proposed. This study analyzed various contingency tables in media panel data for 2016 and 2018 using SAMCIS which has abilities to escape the local trap problem and to achieve reasonable valid tables. In this paper, SAMCIS was used to analyze contingency tables with variables related to the privacy invasion. As a result, when cell frequency is small, exact inference is preferred, and SAMCIS provides more accurate estimates than CaB. In particular, pet owners and SNS activities showed a difference in privacy in 2016 but no difference in 2018. There were no differences in privacy violations in 2016, but in 2018, depending on gender, cafe activity, and pets.
THE CONCEPTS OF DESIGNING COMPETENCE IN THE CONDITIONS OF THE MEDICAL COLLEGE ENVIRONMENT

This article identifies the primary objectives of education development in Ukraine for 2012-2021. It is established that the formation of modern logistical support for the educational sector, support for the development of electronic educational tools, implementation of ICT training of teachers, ie, in general, providing the necessary prerequisites for the modernization of the education system on an innovative technological basis are among the top priorities. The contradictions in the field of potential opportunities for increasing the effectiveness of the educational process in practice are highlighted. It is determined that the educational and information environment can be called distributed on the territorial and level principle of the mastery of information and educational spaces, which aims to create conditions conducive to the emergence and progress in the processes of educational and network relationships between objects and entities environment, and to shape the activity of objects, to stimulate educational and social initiatives so that competence develops as a significant value for both society and the individual. It has been found out that the application of step-by-step integration of OIs can contribute to the natural formation and development of educational and information environment with the direct participation of teaching staff. In this case, the conceptual cascade-loop diagram illustrates the system of interconnections between each of the main elements (stages) of this process. The factors that led to a significant expansion of the scope of electronic resource in the educational process have been identified. A number of designing skills necessary for the formation of a design competency in the teacher were identified, the structure of which includes the knowledge, skills and professionally significant personality qualities required for the design activity. The requirements for the organization and preparation of medical college students for the development of electronic educational resources are defined. It is found that the introduction of the latest information and communication technologies in the educational process has led to significant changes in the didactic system. It is proved that mobility determines the success of each of the graduates in the conditions of the digital and technological society, the possibility of effective cooperation, solving problems, creative approach to training and research activities, etc. DOI:  https://doi.org/10.28925/2414-0325.2019s12
Effects of Training Data Size and Class Imbalance on the Performance of Classifiers

This study discusses the effects of training data size and class imbalance on the performance of classifiers. An empirical study was performed on nine classifiers with twenty benchmark datasets. First, two groups of datasets (those with few variables and those with numerous variables) were prepared. Then we progressively increased the class imbalance of each dataset in each group by under-sampling both classes so that we could clarify to what extent the predictive power of each classifier was adversely affected. Kappa coefficient (kappa) was chosen as the performance metric, and nemenyi post hoc test was used to find significant differences between classifiers. Additionally, the ranks of nine classifiers in different conditions were discussed. The results indicated that (1) Naïve bayes, logistic regression and logit leaf model are less susceptible to class imbalance; (2) It was assumed that using datasets with balanced class distribution and sufficient instances would be the ideal condition to maximize the performance of classifiers; (3) Increasing the number of instances is more effective than using variables for improving the predictive performance of Random Forest. Furthermore, our experiment clarified the optimal classifiers for four types of datasets.