Reviewerly/exHarmony huggingface dataset:
Features of issues of ethics and morals of the leader

Entrepreneurship is considered as a driving force for the economic development of society. One of the tools of entrepreneurship is the choice of people of a certain type, with certain traits of character, those who will be able to create an innovative approach in the system “ethics – morality – collective – leader – entrepreneurship”. Since entrepreneurship is associated with a person with the process of personal professional growth, social adaptation and development through the formation of business ideas, the development of business projects and their implementation in real practice. The social co-operation of different types of human activity made the problem of leadership one of the most recent and, at the same time, constantly topical problems, the solutions of which were constantly changing both in content and form. Therefore, it becomes a task to consider different directions in the scientific study of leadership from the standpoint of modernity, the meaning of the word “ethics” and “morality”. The purpose of this research is to provide a holistic analysis of the leader's problems through the prism of ethics and morality in entrepreneurship. The ethical climate in the enterprise is described – the order of behavior in the sphere of business and business contacts is established. Etiquette, when understood as established behavior, helps to avoid mistakes or to look at them in accessible, generally accepted ways. Therefore, the basic function or meaning of the etiquette of a business person can be interpreted as the formation of such rules of conduct that promote understanding of people in the process of communication. The second meaning of the etiquette function is the convenience function, that is, expediency and practicality. Starting with the little things, up to the general rules – etiquette is approximate to the everyday system. A survey was conducted in which 156 respondents were interviewed, the purpose of the survey was to determine who is a leader, and on the basis of this research a model of a leader with ethical and moral leadership qualities was proposed. Therefore, to create moral subordinates of ethical care means to form high moral values, the mechanism of moral self-regulation, protection and interest, moral creativity and comfort, and also to accept the moral experience of the collective, to collection It was suggested that modern management covers moral socialization – self-assimilation of a person's life experience, self-acquisition of social qualities, its adaptation to the environment. The same group of activities includes providing a modern level of technical and technological equipment of the work process, rational organization, regulation and payment of prats, aesthetics of the working environment, active participation in social activity, spiritual environment moral and psychological climate of relationships.
Improving Students’ Writing Skill Using Numbered Heads Together Technique With Picture Series

&lt;p&gt;This research was conducted to improve the students’ writing skill at the tenth grade of SMAN 1 Sukoharjo in the academic year 2015/2016.The method used in this research is a classroom action research which the in two cycles. The research data were collected using the qualitative and quantitative technique. The qualitative technique consisted of observation, field notes, interview, document analysis, and documentation. Meanwhile, the quantitative technique used tests. The qualitative data the through data collection, data reduction, data display, and drawing a conclusion. The quantitative data were analyzed by comparing the mean score of the pre-test and the post-test. The findings of the research showed that (1) NHT technique with picture series could be implemented to teach writing skill; (2) there were some improvements in the class situation of writing class. As seen in the students’ responses toward teacher’s explanation during teaching learning activity, students enjoy the way teacher delivers materials with picture series as the teaching media, and students tend to be active; (3) the students’ writing score was improved from 60.7 in pre-test to 71.9 in the first post-test and to 79.5 in the second post-test.&lt;/p&gt;
Teaching and Learning Interactional Patterns in Speaking Subject at Several Higher Educational Institutions

This study seeks to find the models applied in interactional pattern of teaching and learning activities on speaking subject in both religious and non-religious universities. In this qualitative study, a realistic ethnographic approach was used. The researchers played a key role as the research instrument. The data are lecturers and students' speech fragments in learning and teaching speaking skills. The instruments were technically obtained through observation using video recording. The data sources are the lecturers and students’ spoken transcripts. The result of this study proved that teaching and learning interactional patterns on speaking subject at the religious based universities revealed that they are under the lecturers’ control. In religious universities, the lecturers speak more than students (TTT), whereas in non-religious universities students are given more speaking opportunities (STT). Interaction occurs when students construct their experience and knowledge with the received information. Lecturers at both universities were not able to facilitate students developing and expressing their ideas. Both religious and non-religious universities’ learning and teaching interactional patterns at the speaking subjects implemented towards constructivism. Through generative learning strategy, some elements reflect each step of the strategies, although at an early stage. It is necessary to develop varied learning models which engage students’ active participation. In addition, there should be an understanding towards the concept of classroom interactional competence.
Voice Activity Detector (VAD) based on long-term phonetic features

We propose a VAD using long-term phonetically motivated features with auditory masking, and pre-trained decision tree based classifier, which allows capturing syllable level structure of speech and discriminating it from common noise types.algorithm demonstrates on test dataset almost 100% acceptance of clear voice for English, Chinese, Russian, and Polish speech and 100% rejection of stationary noises independently of loudness with low computational cost.
Search result refinement through query similarity

- In present era, any erudite individual makes use of search engines to access information. It is vital forsearch engines to provide information which is indeed helpful for the seeker. It is not necessary that documents ranked by the search engine is accurate just because the words in the documents matches with the terms in the query. The results retrieved by the information retrieval engine is said to be precise and relevant if it is in context of the need of information seeker. Often, a user who is querying the search engine, might query a couple of more times on the same matter/subject over a particular period of time frequently. Generally, the focus of the queries issued to a search engine by a specific user remains consistent over couple of more queries issued during a time interval. If aquery issued by a user in the first place has provided relevant or satisfactory results to the user, then his second query (from the same domain/context) issued in a short duration and which consists of certain terms which are present in multiple domains should not outcome in a wrong search result. Hence, this work is performed to provide a solution to improve the search result by the information retrieval engines when a user issues multiple queries in the same domain within a particular interval of time but the terms in his query belongs to multiple context or domain.
Analysis the Active Voice in Moi Language (The Structure of Moi Sentences)

The study about linguistic in Papua with English were analyzed How the word arrange in Positive, negative and Interrogative sentences. This study is about Active Voice in Moi language. The researcher attempted to find some Active sentences in Moi language and try to analysis. She also classified the verb based on the subject and also explains the uniqueness by words. This study used descriptive linguistic research to analyze. The researcher offered numerous recommendations and suggestions.
Diagnosis Specialist System for managing Palm Oil Plantation Problems

The project that was developed is a computerize system that will be ableto diagnose problems happened to palm oil tree. Generally, there is twomain problem that always happened to palm oil tree; disease and pest.This system developed to store the knowledge in the related field into aknowledge base to help the newcomer in this field to make a decision tosettle the problem faced. To solve this problem, data driven searchtechnique applied to search for the symptom stored in the knowledgebase. The system developed using expert system concept. Based on thisconcept, a knowledge base was built to store all the knowledge compiled.Inference engine used to search the knowledge in the knowledge base.The knowledge based was stored in MySQL database and the inferenceengine was developed using PHP language.
Electrical exploration of Massive Sulfides levels at Vermelho River, Digo-Digo Formation, Serra de Santa Rita Greenstone Belt, Goiás Velho, Brazi

This work presents the preliminary results of the use of electrical methods in the time domain to prospect VMS gold type, in the metavolcanics rocks of Digo-Digo formation, Serra de Santa Rita Greenstonebelt.The main objective is to identify subsurface structures and possible sulfidate zones.The acquisition of chargeability and resistivity data was realized with resistivity Syscal Pro 72 using the electrical tomography technique with dipoledipole array in the time domain.The resistivity and chargeability models reached 32.5 meters depth with RMS error of 57.1% and 7.2% respectively.The correlation of geological data and electrical models suggests three zones with different electrical properties.These zones were interpreted as chlorite-quartz schists, exhalative horizons (with massive sulfide levels) and metaultramafic rocks (Manoel Leocádio Formation).Two other small zones within exhalative horizons presented a high chargeability values (40 -70 mV/V), these portions were interpreted as massive sulfide levels related to exposed levels in Digo-Digo and Vermelho River confluence.
A multi-stream dense network with different receptive fields to assess visual quality

The prediction of visual quality is crucial in image and video systems. Image quality metrics based on the mean square error prevail in the field, due to their mathematical straightforwardness, even though they do not correlate well with the visual human perception. Latest achievements in the area support that the use of convolutional neural networks (CNN) to assess perceptual visual quality is a clear trend. Results in other applications, like blur detection and de-raining, indicate the combination of different receptive fields (i.e., convolutional kernels with different dimensions) improves a CNN performance. However, to the best of our knowledge, the role of different receptive fields in visual quality characterization is still an open issue. Thus, in this paper, we investigate the influence of using different receptive fields to predict image distortion. Specifically, we propose a multi-stream dense network that estimates a spatially-varying quality metric parameter from either reference or distorted images. The performance of the proposed method is compared with a competing state-of-the-art approach by using a public image database. Results show the proposed strategy outperforms the competing technique when the quality metric parameter is estimated from degraded images.
IMPLEMENTASI METODE PIXEL VALUE DIFFERENCING UNTUK PENYEMBUNYIAN PESAN PADA CITRA DIGITAL

The development of information technology is very fast, causing a lot of security holes that can be misused by people who are not responsible so that it can harm certain parties. Digital images are chosen as a container for inserting messages because digital images have sufficient size to hold the message and digital images are often used in information exchange so as not to invite suspicion from irresponsible parties. The information to be sent is hidden in a digital image, then the digital image is sent as normal data, so that third parties do not suspect that there is confidential information inside. Information that is hidden in the digital image can be extracted again by the recipient of the message. Pixel Value Differencing (PVD) works on a pair of adjacent pixel values (adjacent pixels). The advantage of the Pixel Value Differencing (PVD) method is that the capacity of the image generated to insert a message can be smaller than its original size, the processing time of this method is quite fast, after the message is inserted, the image quality has good quality. But this method also has disadvantages, because it is not resistant to manipulation.Keywords: Steganography, Digital Image, Pixel Value Differencing
INTERACTION AS THE BASIS OF EDUCATIONAL COOPERATION IN PRIMARY SCHOOL LESSONS

Contemporary system of education requires radical changes in the educational process, the use of technologies, methods and teaching aids in the teacher’s innovative activity, which would contribute to realizing the potential of students’ educational cooperation. Changes in the content, technology and management of the educational process of a comprehensive school require the training of a teacher’s personality for the reformed school. Nowadays, a new perspective on the organization of the educational process has emerged in education, where the interests of the child are at the center of attention.The main condition for realization of the modern educational process is the organization of educational cooperation. The introduction of technology of educational cooperative organization involves the construction of the entire educational process on the basis of active interaction of all its participants with the use of various information tools and dialogical nature of learning. New educational philosophy sets new requirements for the organization of students’ educational and cognitive activity and teacher’s educational activities. The teacher’s task is to maintain the conditions for organizing educational cooperation that stimulate activity and develop the personality of primary school students.When organizing educational cooperation in a lesson, the teacher should consider both the communicative and the interactive aspects of such interaction. Communicative pedagogical interaction involves the organization of dialogical, polylogical nature of learning.This is facilitated by personally-oriented interactive learning, with both teachers and students being active participants. In fact, interaction is the basis of educational cooperation in primary school lessons.
Whom to Learn From? Graph- vs. Text-basedWord Embeddings

Vectorial representations of meaning can be supported by empirical data from diverse sources and obtained with diverse embedding approaches.This paper aims at screening this experimental space and reports on an assessment of word embeddings supported (i) by data in raw texts vs. in lexical graphs, (ii) by lexical information encoded in associationvs.inference-based graphs, and obtained (iii) by edge reconstruction-vs.matrix factorisation vs. random walk-based graph embedding methods.The results observed with these experiments indicate that the best solutions with graph-based word embeddings are very competitive, consistently outperforming mainstream text-based ones.
Smooth migration of a feature-rich vulnerability analysis engine within a security portal for users with divergent skill levels

We have been operating a vulnerability management portal site for the DMZ network, namely the network which allows connections from the Internet.In the DMZ network, security management is crucially important, and vulnerability management is useful for maintaining security.The portal site is named DMZ User's Portal and has been successfully operating for 13 years.For DMZ User's Portal, we have adopted the same series of a vulnerability analysis engine, which has many advantages, but a more powerful inspection performance of the engine has gradually become required in preparation for today's hard security circumstances.Now, we decided to replace the engine with a more powerful and complex one.With the replacement, it is desirable to continue the successful experiences and contributions of the portal site.However, it is quite a difficult task without the careful design and development of the modules in advance.This paper presents the design and methods for the smooth migration of the feature-rich vulnerability analysis engine within the security portal site.The key point is the careful consideration of the module dependency.To achieve a lower degree of module dependency, the techniques of Object-Relational (O/R) mapping, code generation, wrapper architecture, template engine consolidation, and test case were leveraged.We can continue to operate the portal site while inheriting the successful experiences as well as gaining the benefits of a new and powerful vulnerability analysis engine.
The Development of Articulation Learning Model Oriented to Student Activity in Economic Subjects at Pekanbaru Plus Binabangsa High School

Not all students have the ability to speak or to express opinions in public well, and not all students are able to engage in the learning process with a student centered approach. Therefore, the learning model with a student centered approach should still be juxtaposed with the considered percentage of lecture method (teacher cantered approach). This research aims to produce an Articulation learning model development oriented towards student activities. The data analysis was referring to the ISMAN model which consists of the stages: input, process, output, feedback, and learning. Based on the validity test to the validator, the Articulation development model is declared suitable for the Economics learning process. The students responses to the utilization of the Articulation development model obtained an average percentage of 88.62% in the category of very effective.
THE EFFECT OF PICTURE MEDIA ON WRITING SKILLS OF EXPOSITION NOTES IN CLASS VIII MADRASAH TSANAWIYAH AL HIDAYAH DEPOK

Abstract: The purpose of this study was to determine the effect of image media on Indonesian language subjects especially in exposition essay writing skills on class VIII Madrasah Tsanawiyah Al Hidayah Depok. The research method used to analyze is the pretest method, in the form of an exposition essay test before using image and posttest media, in the form of exposition essay tests after using image media. On the pretest test the average score was 73 and the posttest test obtained an average score of 82. The average scores of the two groups were classified into the categories "Enough" and "Good". In testing the Chikuadrat Test, the values for class X1 and X2 are normally distributed with values X1 1.383 &lt;12.592, and X2 3.164 &lt;12,592. In testing the Homogeneity Test obtained a value of 1.06 ≤ 4.28, the data is homogeneously distributed. In testing the Hypothesis Test, the results of t_ (count) are greater than t table (5.266&gt; 2.035). Based on the results of these studies, it can be concluded that there is an effect of using image media on exposition essay writing skills on class VIII students of Madrasah Tsanawiyah Al Hidayah Depok before and after using media images.
Interaction between Model Based Signal and Image Processing, Machine Learning and Artificial Intelligence

Signale and image processing has always been the main tools in many area and in particular in Medical and Biomedical applications. Nowadays, there are great number of toolboxes, general purpose and very specialized, in which classical techniques are implemented and can be used: all the transformation based methods (Fourier, Wavelets, ...) as well as model based and iterative regularization methods. Statistical methods have also shown their success in some area when parametric models are available. Bayesian inference based methods had great success, in particular, when the data are noisy, uncertain, incomplete (missing values) or with outliers and where there is a need to quantify uncertainties. In some applications, nowadays, we have more and more data. To use these &ldquo;Big Data&rdquo; to extract more knowledge, the Machine Learning and Artificial Intelligence tools have shown success and became mandatory. However, even if in many domains of Machine Learning such as classification and clustering these methods have shown success, their use in real scientific problems are limited. The main reasons are twofold: First, the users of these tools cannot explain the reasons when the are successful and when they are not. The second is that, in general, these tools can not quantify the remaining uncertainties. Model based and Bayesian inference approach have been very successful in linear inverse problems. However, adjusting the hyper parameters is complex and the cost of the computation is high. The Convolutional Neural Networks (CNN) and Deep Learning (DL) tools can be useful for pushing farther these limits. At the other side, the Model based methods can be helpful for the selection of the structure of CNN and DL which are crucial in ML success. In this work, I first provide an overview and then a survey of the aforementioned methods and explore the possible interactions between them.
Relationship of Reading Interest with Skills of Living Provide Novel Students of Class VIII Private Vocational School 3

The background of the problem in this study is the lack of student awareness of the importance of reading and the lack of students' ability to listen specifically to listening to snippets of novels.This type of quantitative research uses the correlation method.The population and sample in this study were class VIII students of SMPN 3 Pangkalan Koto BaruSubdistrict which consisted of 4 classes totaling 108 people, while the sample in this study were 28 people, with sampling using a claster random sampling technique.Based on the results of data analysis and discussion, the following results are obtained.First, the average reading interest of class VIII students of SMPN 3 Pangkalan Koto BaruSubdistrict, which is 74 in the range of 66-75% with qualifications more than enough.Second, the average skill of listening to the novel footage of class VIII SMPN 3 Pangkalan Koto BaruSubdistrict is 80 which is in the range of 76 -85% with good qualifications.Third, there is a significant relationship between the two variables because tcount is greater than t table, which is 2.361> 2.056 with n-2 (28-2 = 26) and a significant level of 0.05.From the results of the correlation it can be concluded that there is a significant relationship between interest in reading with the skill of listening to the novel footage of class VIII students of SMPN 3 Pangkalan Koto Baru District.