Reviewerly/exHarmony huggingface dataset:
Pengembangan Service Automation Application dengan Pendekatan Customer Self-Service (Studi Kasus: Martabak Djoeragan Pekanbaru)

In the industrial era 4.0, it has now provided automatic convenience in all aspects of the field, including the culinary business. Operationally customer relationship management has an application that is service automation, where this application is computerized technology to support service staff automatically. In service automation applications, there is software functionality offered, namely customer self-service with web customer service self-service. Martabak Djoeragan, which is a business in the culinary food field in terms of the number of sales of martabak, is very much classified. Based on transaction data in 2017 customer orders can reach more than 300 orders in a day wherein the service process Martabak Djoeragan uses a manual cash register system to serve each order, the cashier must serve one by one each customer order. Today, of course, in terms of the service aspects of the Martabak Djoeragan shop, it is necessary to have an automatic convenience in serving each customer order. The results of service automation applications that have been built based on black-box testing, UAT and Likert scales have been running according to user needs which resulted in applications that provide convenience in the field of serviceIn the industrial era 4.0, it has now provided automatic convenience in all aspects of the field, including the culinary business. Operationally customer relationship management has an application that is service automation, where this application is computerized technology to support service staff automatically. In service automation applications, there is software functionality offered, namely customer self-service with web customer service self-service. Martabak Djoeragan, which is a business in the culinary food field in terms of the number of sales of martabak, is very much classified. Based on transaction data in 2017 customer orders can reach more than 300 orders in a day wherein the service process Martabak Djoeragan uses a manual cash register system to serve each order, the cashier must serve one by one each customer order. Today, of course, in terms of the service aspects of the Martabak Djoeragan shop, it is necessary to have an automatic convenience in serving each customer order. The results of service automation applications that have been built based on black-box testing, UAT and Likert scales have been running according to user needs which resulted in applications that provide convenience in the field of service
Statistical Data Fusion

There are situations where the same measurements are made from different samples, but there could be systematic differences among different sample means. Data fusion is an emerging area of research...
Efficient Distributed SPARQL Queries on Apache Spark

RDF is a widely-accepted framework for describing metadata in the web due to its simplicity and universal graphlike data model.Owing to the abundance of RDF data, existing query techniques are rendered unsuitable.To this direction, we adopt the processing power of Apache Spark to load and query a large dataset much more quickly than classical approaches.In this paper, we have designed experiments to evaluate the performance of several queries ranging from single attribute selection to selection, filtering and sorting multiple attributes in the dataset.We further experimented with the performance of queries using distributed SPARQL query on Apache Spark GraphX and studied different stages involved in this pipeline.The execution of distributed SPARQL query on Apache Spark GraphX helped us study its performance and gave insights into which stages of the pipeline can be improved.The query pipeline comprised of Graph loading, Basic Graph Pattern and Result calculating.Our goal is to minimize the time during graph loading stage in order to improve overall performance and cut the costs of data loading.
Predicting Colon Cancer Outcomes from Histology Images Using Convolutional Networks

Tumor differentiation is a crucial reference for cancer diagnosis and prognostication. In this study we use deep learning algorithm to automatic grading colon cancer’s differentiation status and predicting colon cancer outcomes on histology slices. All histology slices and related survival data were downloaded from The Cancer Genome Atlas (TCGA). Two-thousand-three-hundred-ninety rectangle regions were selected and annotated by pathologist with four categories including normal tissue, low, middle, and high differentiation tumor. A convolutional neural networks (CNN) model which is similar to Xception model structure was trained to classify grade. Briefly, 299 * 299 pixels’ small patches with 40x magnification were extracted from whole slide pathology images (WSI) and assigned a grade. In model training, 152 (90%) WSI images were used for training and 17 (10%) WSI images were used for validation. The initial learning rate is 1e-4 and the optimization algorithm is Adam. Each epoch has 1000 batches; each batch has 32 patches. The learning rate will decrease 10 times after every 150 epochs. An additional test WSI, which was not enrolled in model training and validation, was selected for examination our model’s results. Another cox-survival convolutional networks which is also based on Xception was developed for predicting patients’ outcome through pathology images’ differentiation status predicted above. The model adopted learning rate of 1e-4 and Adam optimization algorithm. Each epoch has 2000 batches; each batch has 16 patches. The category accuracy of predicting small patch was 84.1% for training set and 84.3% for validation set. The model has consumed about 3 weeks to research this accuracy. Detail, accuracy of predicting normal tissues, high differentiation tumor, low differentiation tumor and low differentiation tumor had reached to 88.0%, 92.3%, 66.8%, and 88.1% and AUC-ROC had reached 0.983, 0.963, 0.963, and 0.981 for these 4 categories. The concordance index of predicting colon cancer patients’ outcomes had reached 0.652. Our differentiation prediction model can precisely distinguish tumor and normal tissue on small patches. The differentiation status for single WSI can be used to predict cancer’s outcomes via cox-survival convolutional networks. The prediction results of these networks may have potential to facilitate colon cancer’s diagnosis and perform better individual treatment plans.
MASTER CLASS AS A FORM OF TECHNOLOGY TEACHER TRAINING

Approaches to the definition of the concept ‹‹master class›› are summarized and the importance of this form in the professional technology teacher training is emphasized. It is specified that master class is a two-way process and lecturer-student relationship is absolutely necessary. Continuous contact, practically individual approach to each student, that’s what distinguishes master classes from other forms and methods of teaching. The author reveals the theoretical and practical skills that the intending technology teachers have to possess in organizing their own activities. It is found that the main tasks of the master class are: – to transfer the experience of teacher-master through direct and commented display of actions, methods and forms of teaching activity; – joint development of methodical approaches of the teacher-master and methods of solving the problem set in the program of masterclass; – assisting the participants of master class in defining the tasks of self-development and developing an individual program of self-education and self-improvement. The main advantages of master class are in professional training of technology teachers – it is unique interrelation of short theoretical part, the individual work aimed at acquiring and consolidating practical knowledge and skills in a particular technology. In the process of research the program of the master class on the theme ‹‹Decorative vase (basket) manufacturing›› is presented in such sequence: 1. Announcing a master class theme. Justifying the relevance of the theme, the main idea, which is proposed for consideration. 2. Forming tasks and purpose of master-class. 3. Motivation of cognitive activity. 4. Main part. Content of master-class according to levels. 5. Reflexion. Comprehension and systematization of knowledge. The technology of Decorative vase (basket) Manufacturing is set.
The Roles of Informal Internet Tools in Supporting Formal Learning in Saudi Arabian Universities

The study explores the applications of informal Internet tools on improving the learning outcomes, academic achievements and career advancement of the Saudi Arabian university students.A systematic review of studies conducted on various institutions of higher learning across Saudi Arabia enabled the researcher to evaluate the trends in the use of informal digital learning tools.The paper pools evidences from multiple studies of similar design to examine the strengths, weaknesses and gaps in the applications of digital technology in improving the learning outcomes, skills and knowledge acquisition among the university students.The internet tools present the best platform for reflective practice, exhaustive knowledge sharing, skills upgrade and accessing unlimited support services.The students capitalize on the autonomy resulting from the informal environment to source multiple data from as many stakeholders as possible thereby gaining holistic perspective of their areas of interest, career and other value adding co curricular activities.The informal internet technologies have not only grown to become essential tools for reinforcing the formal learning activities but also critical requirements for developing social competence, interpersonal skills, and creativity.
Factors Influence Novice Programmers toward Test First Approach

Test First is one of the Agile development approaches.In practice, Test First needs a developer to design test cases followed by the development of actual codes.The previous study on Test First has been covering the quality of the codes, either internal quality of codes, external quality of codes, or productivity of codes.Also, research on the behavior of the developers toward Test First based on the developers experiences implementing the Test First approach.This research is looking into the behavior of developers, which focus on finding the factors that influence novice programmers' to execute Test First by using the Theory of Planned Behavior as the theoretical framework.The Theory of Planned Behavior framework is used to identify the factors that contribute to the Intention of novice programmers' to implement Test First.The factors were identified quantitatively using a set of questionnaire.The results indicated that Behavioral Beliefs, Attitude towards Behavior, Normative Beliefs, and Subjective Norms are the factors that influenced novice programmers to implement Test First.
CRITERIA AND INDICATORS FOR DETERMINING LEVELS OF DEVELOPED RESEARCH SKILLS OF INTENDING PRIMARY SCHOOL TEACHERS

The article describes the criteria and indicators necessary to determine the levels of research skills of intending primary school teachers. For this purpose, methods of generalizing pedagogical experience and content analysis were applied.It was found that scientists differentiate building of research skills at three or four levels. The level is basically diagnosed according to three criteria.Based on the pedagogical experience and requirements of the Professional Standard and the State standard of primary education, the following criteria for determining levels of developed research skills of intending primary school teachers are distinguished: motivation (students’ interest in mastering research skills and carrying out researches, awareness of their value and importance in the professional activity of intending elementary school teachers); research knowledge (knowledge about the content, methodology and logic of research, their features in the field of primary education; skills for analyzing, synthesizing, generalizing, classifying and comparing information; create new ideas); conducting research operations (achieving the planned goal and expected results, conducting research according to their logic); scientific style of speech (oral and written skills to express opinions in different genres of scientific style: reports, articles, essays, theses, public speech, disputes, discussions, etc.); introspection (interpreting the results, determining the mistakes that were made, and eliminating them, appreciating the level of achieving the goals and tasks, defining the possible ways to improve the work performed).The study of the levels of developed research skills based on the defined criteria is aimed at identifying the reasons for students’ failure in conducting research and determining an individual approach to master these skills according to the appropriate level.
A Structural Analysis of Senior High School Students’ English Achievement Goal Orientation, Learning Anxiety, and Autonomous Learning Behavior

The present study aimed to investigate senior high school students to explore the relationships among their English achievement goal orientations, learning anxiety, and autonomous learning behavior.748 first-year senior high school students in Guizhou Province, China were selected as participants.A comprehensive questionnaire measuring the above variables was designed to collect the data.The Structural Equation Modeling (SEM) was used to analyze the data.The results showed that the model had good fit to the sample.The students' mastery goals and performance-approach goals positively contributed to their autonomous learning behavior, whereas their performance-avoidance goals were negatively associated with their autonomous learning behavior.The students' mastery goals effectively reduced their learning anxiety, but their performance-approach goals and performance-avoidance goals engendered learning anxiety.The students' learning anxiety and their autonomous learning behavior were negatively correlated.
Research on ESP Course Construction and Teaching Mode—An Example of Fashion English for Science and Technology

ESP stands for English for Specific Purposes, including EOP, EAP and EST. Demand analysis is the starting point for ESP curriculum design. In this article some job positions were investigated in terms of the demand for graduatesâ€™ English level. In order to improve studentsâ€™ ability to access scientific and technical information in English, Fashion English for Science and Technology was offered as a public elective course. Based on the cloud space teaching platform, Fashion English for Science and Technology course was established on the homepage. With the cloud class, the EST online course was carried out, and the ESP teaching mode based on networked self-learning has exerted an active effect on ESP teaching.
The Development of Booklet Media Construction With Various Patterns - Various Collar Models For Fashion Design Study Students, Universitas Negeri Medan

This study aims to discover the feasibility of booklet media with various collar construction patterns to the students of Fashion Design Study Program, Universitas Negeri Medan.Drawing the pattern construction with the breaking pattern of various collar models to be appropriate as the learning media for the students of Fashion Design Study Program, Universitas Negeri Medan.The research methodology used in this research is Research and Development method.The development model used in this study is a 4-D development model (four D models), including: define, design, develop, and disseminate.The result shows that the usage feasibility of students' booklet test results the percentage of (95,56%) which is in "Excellent" qualification; and the feasibility test with lecturer as the respondents is in (94,74%) "excellent" qualification.Therefore, the feasibility of various booklet media construction with various collar models and pattern breaking method is appropriate to be applied to the students of Fashion Study Program in Universitas Negeri Medan.
GPU Accelerated Stereo Vision System to Capture Handwriting Information

Stereo vision systems that capture 3D space data are of great use as computer interface systems for emerging technologies such as VR and Robotics.They are inexpensive, yet practical implementation is challenged by high CPU processing power requirement.Thus, in this paper a scheme is developed to exploit GPUs in the processing of high definition images required to track an object position and orientation in 3D space in real-time.This is done by porting and optimizing essential processing algorithms to operate efficiently in parallel on a GPU.The object detected is a pen, with the position of the tip and it's orientation tracked in real-time.The writing captured by the system is than compared to the one from commercial digitizing tablet.The results achieved indicated that pen tip can be tracked in 3D space with a percentage error below 1.7% within a distance of 40cm from the stereo camera shooting at a frame rate of 30 frames per second.
Formation of a Product Promotion Strategy Based on the Analysis of the Behavior of Network Users Through the Bruno de Finetti Paradox

The formation of a product promotion strategy in the modern turbulent conditions of the business environment is faced with the multifactorial task of searching for the target audience.Under these conditions, it is important to consider categories such as capital.The paradox of Bruno de Finetti at one time was used to study the ability of insurance companies to conduct business under uncertainty.In modern conditions of a turbulent environment for entrepreneurship, simple farms fall under this category, which makes one think about the inevitability of bankruptcy of enterprises, which was previously proved mathematically.Many different business models are ready to adapt to modern conditions, but not many are ready for such transformations.
A Text Topic Mining Algorithm Based on Spatial Propagation Similarity Metric

With the arrival of the big data era, a large amount of text data has grown exponentially, and text topic mining has become a challenging task. Text topic knowledge mining based on co-word analysis can not deeply discover the semantic relationship between keywords, while LDA model misses the important information of document keyword structure. Therefore, this paper proposes a text topic mining algorithm based on spatial propagation similarity metrics. Based on the co-occurrence matrix, the spatial propagation similarity metric algorithm is used to calculate the inter-word relationship, and further cluster analysis is carried out, aiming at deeper mining of text themes.
A preliminary inquiry into the aggregation of compositional data

The aggregation of compositional data vectors arises naturally in many fields of application.In particular, the weighted centroid is inherently linked to the process of mixing two or more compounds.However, as natural and simple as this process may be, the weighted centroid does not fit the standard definition of an aggregation function since there is no order relation, nor associated monotonicity, in the setting of compositional data.In this conference paper, we prove that the weighted centroid fits within the framework of penalty-based aggregation (which does not build upon the property of monotonicity) and discuss how all convex hull internal functions for the aggregation of multidimensional data could potentially be used for the aggregation of compositional data.Interestingly, the weighted centroid is indeed monotone when seen as a convex hull internal function for the aggregation of multidimensional data.
A Study on the Effect of Individual Career Development Activity on the Career Satisfaction

This study is to suggest implications for individual career development activities. The questionnaire was distributed and collected among 305 people who have had more than one career development activity. The collected data verified the adequacy of the structural equation modeling and its cause-and-effect relationship to each concept. Social networks, hobbies, and acquiring the certificates do not show any significant relationship to career development, but achievement has a significant effect on it. It was found that two jobs have a significant effect on both career development and sense of achievement. It said that career development and sense of achievement have a significant effect on career satisfaction. Since career development and sense of achievement both effect career satisfaction while social networks, hobbies, and acquiring the certificates have a significant impact only on sense of achievement, the main implication of this study is that, by linking the above variables to career development, it is necessary to strengthen the compensation system and support measures that can induce career development in order to improve career satisfaction ultimately. It gives directions to those who want to develop activities.
Prediction quality of Bayesian belief network model for risky behavior: comparison of subsamples with different rates

The study investigates the proposed approach for behavior modeling on the base of Bayesian belief networks that allows predicting behavior characteristics using small and incomplete data from surveys about behavior episodes.We explored the prediction quality of the models in case of rare behavior.The test dataset was automatically generated and included 24465 cases.During the experiment, we considered cases with different rates to compare prediction quality.Our findings suggest that the model had a good prediction quality especially for rare and frequent behaviors (about 92% accuracy) and lower measures for medium-rate behaviors (about 86% accuracy).
Image Compression using Side Match Vector Quantization Technique

The field of Image processing makes a high impact in the era of fast growing technology to increase or to satisfy the human comfort level. A single image may contain thousand times more information than a written text on piece of paper. But due to the advent of technology, number of image formats exists to provide strength to the image data like JPEG, Tiff, BMP, Gif etc. Due to this change in technology and the existence of these different formats, high resolution images are produced and require more memory for the purpose of storage. Even when we want to communicate on the basis of these images through Internet for some purpose then the issue arises and affect the communication. To deal with this issue some compression mechanism is required. In case of Image procession we can either have lossless image compression or lossy image compression. In this paper a lossless technique of Image processing is proposed by considering Haar wavelet and Vector transform techniques. 97% compression percentage is achieved with the help to proposed method and when the results are compared with other techniques low SNR values and high RMSE values are achieved for the proposed system which shows its accurate behaviour.