Reviewerly/exHarmony huggingface dataset:
코칭리더십 교과과정의 역량 효과성 분석에 관한 연구

This study reviews the effectiveness of a coaching leadership course for college students who registered between the second semester of 2018 and the first semester of 2019. The six competency scales of D University’s e-portfolio system were used to measure the effectiveness of this course, which are interpersonal capacity, self-development and management capacity, communication capacity, global capacity, information technology utilization capacity, and creative convergence capacity. The results showed that the course was effective in interpersonal, self-development and management as well as communication capacity among the six competencies. When looking at the effectiveness in the sub-capacities, meaningful differences were shown in relationship, cooperation, and leadership for interpersonal capacity, self-directed learning and goal-oriented planning for self-development and management capacity, as well as listening/talking, discussion and coordination for communication capacity. Furthermore, a narrative evaluation of the students in the course was conducted, which showed that the coaching leadership curriculum was meaningful in terms of relationships in the coaching practice, establishing identity, recognizing the importance of setting goals, and its influence on their lives.
Early Shakespeare, 1588-1594

Early Shakespeare, 1588–1594 draws together leading scholars of text, performance, and theatre history to offer a rigorous re-appraisal of Shakespeare's early career. The contributors offer rich new critical insights into the theatrical and poetic context in which Shakespeare first wrote and his emergence as an author of note, while challenging traditional readings of his beginnings in the burgeoning theatre industry. Shakespeare's earliest works are treated on their own merit and in their own time without looking forward to Shakespeare's later achievements; contributors situate Shakespeare, in his twenties, in a very specific time, place, and cultural moment. The volume features essays about Shakespeare's early style, characterisation, and dramaturgy, together with analysis of his early co-authors, rivals, and influences (including Lyly, Spenser and Marlowe). This collection provides essential entry points to, and original readings of, the poet-dramatist's earliest extant writings and shines new light on his first activities as a professional author.
The Interaction of Eidos and Logos in the History of Philosophy and Science

This paper considers the interaction between the concepts of logos and eidos and the possibility of their use in contemporary philosophy. Logos is a true word or thought exactly corresponding to the truth and identifed with its object. Eidos is the living being of an object, permeated with semantic energies coming from its depth and developing into a complete living picture of the revealed image of the object’s essence. Many of the imbalances existing in philosophy are caused by the fact that as early as in Late Antiquity and then in the Middle Ages, there began a process of moving the concept of eidos and other closely related concepts to the background. In this process, many achievements of the ancient Greeks were lost: their understanding of the cosmos as equilibrium and humans as an intrinsic part of nature on an equal level with other natural processes and phenomena. The science of the modern times, including philosophy, shifted resolutely from the study of entities to the study of phenomena, from “what” to “how”. In addition, the philosophy and science in the modern era turned their spotlight on personality, consciousness, and the self. Meanwhile, the view in which the eidos is revealed in its entirety (eidetic view) can be formed from the point of view of three interrelated limits of dynamic equilibria: identifcation, communication, and rhythmization. Identifcation of an object under study can be described as a transition from phenomenon to phenomenon; communication as a transition from horizon to horizon; and rhythmization as identifying the fundamental time interval between the transition from one level of the “phenomenon, horizon, rhythm” to another level of similar nature. As a result, a cell is formed consisting of three fundamental limits of dynamic equilibria, which can serve as the basis for the object’s development.
Corrosion Evaluated by Using Speckle Decorrelation with Potentiodynamic Test of the Corrosion Rate

Abstract There are corrosion experiments that require an investigated surface larger than the normal surface permitted by the apparatus specializing in such measurements. There are also corrosive environments in which the classic electrodes used are in danger of damage. Thus, in this article, a test in which the surface is investigated using speckle and the electrodes are all made from graphite, a material that is more resistant to chemical attacks, was imagined. The optical method used to investigate the surface alteration was speckle decorrelation, which has proved to be a sensitive indicator of corrosion. Because the decorrelation speed is obviously influenced by the corrosion rate, the main objective was to find out if there is a relationship between these two quantities in the frame of the speckle measurements. Using the electrochemical procedure of chronopotentiometry, it was found that the speckle decorrelation is sensitive not only to surface alteration due to corrosion but also to some reversible processes that occur in the electrolyte near the sample surface. In the first phase of the tests a solution of NaCl was used in order to have a reference environment known for the results obtained, followed in the next stage by more corrosive solutions that change the environment.
IMPLEMENTASI PELATIHAN APLIKASI ZOTERO DI PERPUSTAKAAN UNIVERSITAS MUHAMMADIYAH YOGYAKARTA BAGI MAHASISWA MAGISTER ILMU PEMERINTAHAN

The purpose of this study is to describe how the implementation of the training zotero in Yogyakarta Muhammadiyah University Library. This research uses descriptive method qualitative approach. Data collection techniques in this study using observation, interviews, and documentation. The sampling technique used in the interview process is purposive sampling. The results showed that the material in the training conducted by the application zotero UMY library includes information about search, use zotero application for managing information, and utilization of information through the application zotero.
Emotional Contagion in Open Software Collaborations

Emotional contagion is a mechanism by which affect experienced by one person in a group is transmitted to others in the same group. When this happens, the group dynamic is influenced. This paper provides a method to analyze an Open Software project to determine the connection between emotional contagion and software production in such an environment, if any. The project change management database is mined to extract change comments in chronological order and by user id. Sentiment analysis is employed to determine affect in the change originating from each userid. File changes are tracked to link them together in the same areas, using a temporal and file locality principle. The correlation between affect and area is then used to prove or disprove whether or not emotional contagion influences open software production. Although in this paper the proposed method is applied to only one project, the method is general and can be reused for experimental validation.
The 2011-2019 Media Literacy Improvement: Strategy and Implementation of Sustainable Community Service Program

The importance of public media literacy has been recognized by the School of Communication, Atma Jaya Catholic University of Indonesia for a long time. Various studies that support this issue are then used as a basis for community service program on improving the ability to use media in various places with diverse target audiences. This activity was first carried out by a team of lecturers involving students in 2011 and continued until 2019. There was a fundamental shift in its substance related to the rapid development of information and communication technology. This shift is primarily a form of media. Previously the media used by the public were print, audio, visual and audio visual. With the development of technology and the emergence of digital media, grouping occurs as the old or conventional media and new or digital media. This paper aims to explain the track record of community service in increasing media literacy conducted by the School of Communication, Atma Jaya Catholic University of Indonesia, as a form of evaluation and mapping in an effort to maintain program sustainability. The results of the track record evaluation and mapping show that the shift in the shape of the media requires an adjustment in the substance of the material, namely from increasing the ability to use conventional media, to increasing the ability to use digital media. Therefore, in development, the preparation of materials, delivery methods and implementation, requires the right strategy for this effort to be sustainable. The implementation of the plans arranged shows that collaboration with various parties and an understanding of the culture of the target communities will facilitate the delivery of material and increase the success of the program.
Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

We propose a new method for performing photonic circuit simulations based on the scatter matrix formalism. We leverage the popular deep-learning framework PyTorch to reimagine photonic circuits as sparsely connected complex-valued neural networks. This allows for highly parallel simulation of large photonic circuits on graphical processing units in time and frequency domain while all parameters of each individual component can easily be optimized with well-established machine learning algorithms such as backpropagation.
PENGARUH MEDIA PEMBELAJARAN KARTU BERGAMBAR TERHADAP HASIL BELAJAR SUBTEMA ORGAN GERAK HEWAN

THE INFLUENCE OF LEARNING CARD LEARNING MEDIA ON RESULTS OF THE STUDY OF ANIMAL MOVEMENT SUBTEMAThis research is a type of quantitative research with a quasi experimental approach which consists of pictorial card media as independent variables and learning outcomes as dependent variables. The purpose of this study for to determine whether there is an influence on the learning outcomes of animal motion organ subthemes through the learning media of illustrated cards. This research uses a quasi experimental method. This research was conducted at Karadenan Kaum State Elementary School in Bogor Regency in the class VA and VB Even Semester of the 2019/2020 Academic Year. The analysis technique used is the prerequisite test data analysis which includes data error normality test, homogeneity variance test, then hypothesis testing using t test. Based on the results of data analysis the learning outcomes obtained through the Learning Card Picture Media with an N-Gain value of 74.62. with 100% mastery learning outcomes and without pictorial card learning media obtained an N-Gain score of 62.86 with 75% mastery learning outcomes. The results of hypothesis testing stated H0 was rejected and Ha was accepted because tcount (3.2036)&amp;#62; ttable (1.99346). Based on the results of the above research, it can be concluded that, there is an influence on the learning outcomes of animal motion organ subthemes through the media of learning cards. The most effective learning media on animal motion organ subthemes is the Picture Card Learning media.
Extensive Fault Emulation on RFID Tags

Radio frequency identification (RFID) is widespread and still necessary in many important applications. However, and in various significant cases, the use of this technology faces multiple security issues that must be addressed. This is mainly related to the use of RFID tags (transponders) which are electronic components communicating wirelessly, and hence they are vulnerable to multiple attacks through several means. In this work, an extensive fault analysis is performed on a tag architecture in order to evaluate its hardness. Tens of millions of single-bit upset (SBU) and multiple-bit upset (MBU) faults are emulated randomly on this tag architecture using an FPGA-based emulation platform. The emulated faults are classified under five groups according to faults effect on the tag behaviour. The obtained results show the faults effect variation in function of the number of MBU affected bits. The interpretation of this variation allows evaluating the tag robustness. The proposed approach represents an efficient mean that permits to study tag architectures at the design level and evaluating their robustness and vulnerability to fault attacks.
Desarrollo distribuido del algoritmo para la detección de factores anómalos locales en Apache Spark: Distributed development of the algorithm for detecting local anomalous factors in Apache Spark

The development achieved with information and communications technologies has resulted in the growth of all data stored and / or exchanged electronically. Data mining techniques are capable of extracting knowledge from these stored data. One of the tasks of data mining is the detection of outliers. When the volume of stored data can not be processed by traditional infrastructures, other, more efficient ways of processing information are needed. The parallel processing of information is a type of processing that allows the execution of several processes concurrently, achieving impressive calculation powers. The objective of this research is to develop the algorithm for the detection of local outliers factors to be executed in Apache Spark which implements the MapReduce programming model. Two variants are proposed, the first is deterministic and the second is more efficient than the first but with approximate results. Based on the experiments carried out and the results obtained with the non-parametric hypothesis tests, it is shown that the proposed variants reduce the execution times in relation to their sequential variant.
Software Fault Prediction Using Machine Learning Approaches: A Survey

Predicting software fault is an important part of software engineering. Fault prediction means identifying modules that are prone to failure early in software development. It reduces time, effort and overall costs. Significantly improves the organization's start-up and profits by ensuring customer satisfaction. This field has attracted many researchers over the years to improve the overall quality of the software. Machine learning techniques are the most used techniques in this field today. Machine learning focuses on developing computer programs that may learn to grow and alter once exposed to new information. In this paper, we examine a study of the various software metrics used to predict software fault using machine learning algorithms and we also presented a survey of various machine learning techniques that will help professionals interested build a fault prediction model.
A reversible allelic partition process and Pitman sampling formula

We introduce a continuous-time Markov chain describing dynamic allelic partitions which extends the branching process construction of the Pitman sampling formula in Pitman (2006) and the birth-and-death process with immigration studied in Karlin and McGregor (1967), in turn related to the celebrated Ewens sampling formula. A biological basis for the scheme is provided in terms of a population of individuals grouped into families, that evolves according to a sequence of births, deaths and immigrations. We investigate the asymptotic behaviour of the chain and show that, as opposed to the birth-and-death process with immigration, this construction maintains in the temporal limit the mutual dependence among the multiplicities. When the death rate exceeds the birth rate, the system is shown to have reversible distribution identified as a mixture of Pitman sampling formulae, with negative binomial mixing distribution on the population size. The population therefore converges to a stationary random configuration, characterised by a finite number of families and individuals.
PROFESSIONAL SELF-DETERMINATION AS A CRITERION FOR THE QUALITY OF PERSONNEL TRAINING IN THE SYSTEM OF PROFESSIONAL EDUCATION

The period of study in an educational institution that provides professional education services is of great importance for the individual, as it is at this time that he begins to take part in industrial relations, to demonstrate a mature, meaningful perception of his own profession, supported by a clear motivation and a formed system of values. The intensification of personal responsibility for their own social well-being and contribution to a particular professional activity should be combined with the intensification of the responsibility of the educational institution for the level of training of the future employee. In the context of the research, the tasks of ensuring professional self-identification (hereinafter  PS) are not limited to the choice of specialty and profile. This process helps students to assess adequately the prospects for revealing their own identity in the framework of their upcoming professional activities. PS is interpreted by the scientific community as both a process and a result of the evolution of a specialist, each phase of which has a different functional content. At the same time, special attention is paid to late adolescence, as it is during this period that issues related to the choice of the sphere of application of daily paid efforts acquire an expressed, far from speculative relevance. The main components of self-identification as a psychological and pedagogical phenomenon include the following: connection with the subject, procedural nature, awareness, autonomy. PS is a type of human activity (an aspect of personal self-identification), implemented within the framework of age, worldview and status changes and, if necessary, regulated by specially provided measures  career guidance, educational process, research work.
Early Detection of Skin Cancer Using SAKURI in Satelit General Hospital of Aceh Besar

The purpose of this service is to introduce the community to the importance of maintaining skin health through self-examination (SAKURI).The method of implementing community service activities is done using an approach method that involves all group members actively which the resulted the service will be more useful.This service activity aims to develop a technique for conducting early detection of skin cancer using SAKURI in order to take precautions as early as possible on the possibility of skin cancer and early detection of skin cancer which the treatment of the disease can be done as soon as possible and easily to avoid the complications.This program focuses on how self-examination (SAKURI) techniques for early detection of skin cancer are conducted and the action which plays a role in preventing skin cancer that can be done by patients.The results of the service found that almost 90% of the people did not know about the self-examination methods and knowledge of skin cancer is still rarely introduced.Most patients grow small flesh on their skin that spreads throughout the body and they allowed the situation.Therefore, we conducted intensive counseling and treatment to increase the awareness of the people in Indrapuri and the knowledge of medical personnel in the Satelite General Hospital.Then, it has resulted in increasing the understanding of the importance of SAKURI examining skin cancer and protecting the skin to avoid skin cancer.This community service is expected give the contribution to patients, medical personnel and paramedics to increase their knowledge and awareness to immediately be able to do a skin examination if signs of suspicious malignancy on the skin are found.It is expected that the results of this study can be a guideline for medical, paramedic and skin patients as a science which could be implemented in the future.
Mineral Associations of Gold-Ore Occurences, Berental Ore Cluster (North-East of Russia)

Berental prospective ore cluster (Magadan region) hosts a many ore occurrences, which differ in mineral composition, ore productivity, features of secondary and primary dispersion halos. As a result of the study of ores, mineral associations have been characterized, the stages of formation of ore occurrences and the alteration of the ore cluster have been established. The interrelation of five genetic types of native gold with mineral associations is revealed. Key ore occurrences have formed during several stages of ore formation associated with the evolution of a common hydro-thermal system. The earliest mineral association (arsenopyrite-lellingite), which contains the first generation of gold, was formed in the quartz-sericite facies in marginal parts of Berental stock and refers to the lower level of erosion truncation. After that, arsenopyrite-telluride association was formed in the marginal granites and arsenopyrite-galenobismutite association was formed in the exomorfic zone, they contain gold of the second - fourth generations with signs of recrystallization and diffusion transformations. Arsenopyrite-silver and pyrite-silver ore associations are localized at the upper level of the erosion trancation in calcium-containing birch with quartz veins, these associations contain low-fineness gold of the fourth and fifth generations. Pay gold mineralization of the Berental ore field is associated with arsenopyrite-telluride and arsenopyrite-galenobismutite associations, contains gold with a fineness of 750-945 %. The spatial placement of mineral associations is consistent with the placement of secondary and prima-ry scattering halos: complex Au-Bi-As halos accompany arsenopyrite-lellingite, arsenopyrite-telluride and arsenopy-rite-galenobismutite associations; for Au-As-Ag and Au-Ag-Pb-Zn association there is a spatial conjugation with ar-senopyrite-silver and pyrite-silver associations, respectively.
Cloud Storage Drive Forensics

Data Storage is recently an emerging concern of this era. As the data is increasing day-by-day, storage has become a major issue. Although, there exists different kinds of storage mechanisms which include physical storage drives, cloud storages,Hybrid Storages &amp; In-memory storages. But Cloud Storage application such as One Drive, Dropbox and Google Drive are more convenient as data is not limited to a fixed size. One Drive is one of the most popular storage drive. One Drive is a Cloud Storage Application which allows user to store, share and edit the file in the cloud based environment.
Scrumie: Scrum Teaching Agent Oriented Game

The use of agile methods has become essential in software development at the present time. Among the existing methods, Scrum is one of the major ones, and is used to manage projects in companies, even outside of the scope of software systems development. Considering the relevance of this subject and the success usually obtained in learning through educational games, Scrumie was proposed to teach the management of Scrum projects. Scrumie applies intelligence in multiagent architecture being developed with Agile Passi an agent oriented methodology. This paper contains a proposal, modeling, implementation and evaluation of the Scrumie game.