Reviewerly/exHarmony huggingface dataset:
The mediating role of internal motivation and organizational learning on the effect of trust in the manager on service innovation performance: A study in the finance sector of Adıyaman

The aim of this research is to determine the mediating role of internal motivation and organizational learning in the impact of trust in the manager on service innovation performance In the study, 204 employees in the financial sector in Adiyaman province were surveyed using a convenience sampling method.Participants were asked to evaluate expressions related to trust in the manager, internal motivation, learning organization, and service innovation performance.The data obtained were analyzed with IBM AMOS and IBM SPPS for Windows v.23 statistical pakage programs.The validity and reliability of the scales used were tested and the values of the goodness of fit were revealed by confirmatory factor analysis.Within the scope of the research, the relationship between trust in the manager and service innovation performance and the mediating role of internal motivation and organizational learning variables in this relationship was tested.In line with the findings obtained in the study, it was revealed that there was a positive and significant effect between all variables.It has been found that internal motivation and organizational learning play a partial mediating role in the impact of trust in the manager on service innovation performance.
Online Voting System Using Java and SQL

Abstract: An online voting system is being developed that is both threats free and user-friendly. The online voting system is intended for people living in different places around the world to vote for their representatives. We have the option of having an election with paper ballots or an automated ballot election here in our world. The automated ballot elections have become the norm in recent years. Electronic voting is also currently used. The online voting system has evolved to a point that it can replace the online polling system with accurate and direct voting. A user logs in for this online voting process by providing their first name, last name, email address, password, and thumb (because these things are all unique to them). In this system, every user has just one vote and if they use their votes repeatedly, it means their votes will be considered invalid. We can reduce time and money by using this online voting system and it is very secure, efficient and safe. Keywords: java, SQL Database, JavaScript, Wamp server
Text Analytics Using Graph Theory

The task of getting relevant document based on input query is important in information retrieval. The similarity of text documents using graph isomorphism is discussed in this chapter. The concept of term weighting in graph with generating extractive and abstractive summary by using graph operations is well explained with different graph types and properties. The applications like question answer system, sentiment analysis and recommendation system are also explored in this chapter. The available tools, datasets and libraries are also provided in the last section of the book.
The Modified Impact of CEO Characteristics on the Relationship Between Internal Audit Quality and Firms Performance in The Jordanian Corporations

The study aim to identify the modified impact of the characteristics of the CEO on the relationship between the quality of internal auditing and the performance of the Jordanian corporations. The study population consisted of Jordanian corporations listed on Amman stock exchange. In order to achieve the objective of the study they adopted the descriptive analytical approach, by developing the questionnaire that was distributed. The study populations consist of all Jordanian corporations and 250 questioners was distributed in the study sample consisting of financial manager, internal auditor and heads of accounting department 206 questionnaire were received of which 183 were valid for analysis. Used the SPSS program in analysis the study tool in addition to some descriptive statistical methods (arithmetic, means and standard deviation).The study reached a number of results , most important of which are there is statistically significance level the quality of internal audit and positively effect the performance of Jordanian corporations, in addition the characteristic of the CEO passively effect the reaction ship between the quality of internal auditing and the performance of the Jordanian corporations. The study also came out with a number of recommendations, the most important of which were the need to strength and improving the internal audit function in Jordanian companies, increasing its quality, and focusing more on the characteristics and attributes of the CEO. As well as the need for companies to keep abreast of developments and techniques related to internal auditing and use them in internal audit operations in Jordanian corporations.
An overview on block chain technology in business organizations

While teaching students how to analyze is the most essential aspect of a successful blogging task, there are other factors to consider. First andforemost, the assignment must be put up in such a manner that it does not take up too much of the instructor’s grading time. There is substantial evidence that online courses take more time for professors to teach than conventional ones. The amount of diary entries that students must complete must be carefully considered. As the quantity of diary entries Anderson demanded grew, his pupils started to protest that they were being “journaled to death.” If students are overburdened with journals, the quality of their reflection may suffer as they attempt to complete the assignment. Another important consideration is whether the journals should be made public and therefore accessible to other students, or kept private and accessible only to the teacher. Students may speak about extremely personal and private aspects of their life that should not be shared with the whole class. Blogs should probably be taken private if this is likely to happen. Many students said they enjoyed reading other people’s submissions more than they enjoyed writing their own. Making diary entries open may make them a learning opportunity for everyone if students are not sharing things that are personal in nature. A third important issue is whether students must be given in-progress feedback so they can see how well they are doing on the task.
Assessment of Software Bug Complexity and Severity using Evolutionary SOM Scheme

The software defect prediction and assessment plays a significant role in the software development process. Predicting software defects in the earlier stages will increases the software quality, reliability and efficiency, the cost of detecting and eliminating software defects have been the most expensive task during both development and maintenance process, as software demands increase and delivery of the software span decreased, ensuring software quality becomes a challenge. However, due to inadequate testing, no software can pretend to be free from errors. Bug repositories are used for storing and managing bugs in software projects. A bug in the repositories is recorded as a bug report. When a bug is found by a tester its available information is entered in defect tracking systems. During its resolution process a bug enters into various bug states. These defect tracking systems enable user to give the information about the bugs while running the software. However, the severity prediction has recently gained a lot of attention in software maintenance. Bugs with greater severity should be resolved before bugs with lower severity. In this paper an evolutionary interactive scheme to evaluate bug reports and assess the severity is proposed. This paper presents a Software Bug Complexity Cluster (SBCC) using Self Organizing Maps. In this SBCC a feature matrix is built using bug durations and the complexities of software bugs are categorized into distinct clusters including Blocker, Critical, Major, Trivial and Minor by specifying negative impact of the defect using two different techniques, namely k-means and SOM. Bug duration, proximity error and pre-defined distance functions are used to estimate the accuracy of different bug complexities. Our systematic study found that SOM's proximity error and fitness have greater performance and efficiency than K-Means. The collected results showed better performance for the SBCC with respect to fitness and cluster proximity error.
Reading aloud technique as a resource to develop reading skills in EFL

Introduction. Reading aloud is a technique that has been used in different settings in order to improve reading comprehension. Objective. This study aimed to understand the impact of reading aloud techniques with college students who took English class as a requirement to continue with their studies to get a college degree. Methodology. They were students who passed the English level A2 and aimed to reach a B1 at the end of the semester. There were 28 students who participated in this study and they had to read texts for a period of seven weeks. The instructor provided a text each week and they had to use an application, record their voice while reading the text within a period of time and send it to receive a feedback. The students` performance was collected and analyzed through the use of a rubric during the whole process. The Wilcoxon test was used to examine the results of the pretest and posttest since there was only one group who participated in the study. At the end, the rubric results were organized and statistically analyzed. Results. The findings showed that there was significant difference after using reading aloud technique in students reading skills development. Conclusions. Reading aloud technique should be used as an strategy to improve reading performance in the English language at a college level.
IMPLEMENTING A SET OF PRACTICE-ORIENTED TASKS IN THE PROCESS OF THE LEGAL COMPETENCY FORMATION OF FUTURE TEACHERS

A set of legal tasks is proposed, it is based on the problematic situations that occur in the professional activities of teachers, which are aimed at eliminating the problem of non-compliance of demands from society for the level of legal competency formation of teachers with modern models of legal education. The tasks are classified by functional orientation, levels of complexity, subject content, and methods of solution. The article describes the developed set of practice-oriented legal tasks, the main purpose of which is the formation and development of the legal competency of future teachers.
Data Analysis on the Influence of Chinese Traditional Culture on English-speaking Countries and Their Translation Based on the Corpus of COCA

In the times of big data, culture-loaded expressions are of great significance in the research of translation and cross-cultural communication. This paper makes use of big data to study a group of culture-loaded expressions related to &#x201C;Lantern Festival&#x201D;, which is a representative of Chinese traditional culture, retrieves the data about them in the largest free online English database of corpus &#x201C;Corpus of Contemporary American English (COCA)&#x201D;, and makes use of quantitative research method to analyze the data frequency of these expressions, hopefully to find out data about the influence of &#x201C;Lantern Festival&#x201D; on English-speaking world and more appropriate translation versions of these expressions, so as to deduce the influence of Chinese traditional cultures in these areas and the better way of translating these expressions, and to meet the needs of the era of big data.
Online Learning with Radial Basis Function Networks

We investigate the benefits of feature selection, nonlinear modelling and online learning when forecasting financial time series. We combine sequential updating with continual learning, specifically transfer learning. We perform feature representation transfer through clustering algorithms that determine the analytical structure of radial basis function networks we construct. These networks achieve lower mean-square prediction errors than kernel ridge regression models, which arbitrarily use all training vectors as prototypes. We also demonstrate quantitative procedures to determine the very structure of the networks. Finally, we conduct experiments on the log-returns of financial time series and show that these online transfer learning models outperform a random-walk baseline. In contrast, the offline learning models struggle to do so.
Apoio emocional online: funcionalidades do discurso nas páginas chilenas do Facebook por pacientes com dor crônica

This research analyzed an emerging and rapidly increasing type of communication from the perspective of its social purpose (MARTIN; ROSE, 2008). We focus on comments from three public Facebook webpages by endometriosis patients to determine the interpersonal configuration of the texts produced. The corpus comprises 7230 comments written over a period of over four years. The data were analyzed in terms of the interpersonal configurations based on the System of Appraisal (MARTIN; WHITE, 2005). Results indicate that Facebook pages corresponding to patient interaction perform a variety of social purposes, thus, different discourse genres. The main genres identified refer to the exchange of affective meanings, aiming at consolidating a sense of community and align its members, by exchanging emotional support. Other genres aimed at the exchange of information, focusing on specific details of the condition. A third type of genre identified was of the story type, narrating the patients’ experiences with endometriosis and the resulting chronic pain. Results point to clearly different discoursal configurations, with a marked interpersonal functionality. This highly interactive form of digital communication seems to have partly replaced patient-patient interactions given in face-to-face modalities in the past, in clubs, churches, hospitals or other support groups. However, it has expanded the typical narrative nature and purpose of the original social practice, to include genuine exchanges of information and emotion which seems to have been facilitated by the distant and more impersonal type of participation stemming from online communication.
Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors

Since sensitivity of mammography is limited in detecting subtle cancer, we propose to develop a new computer-aided detection (CAD) scheme to generate a new quantitative image marker to predict risk of having mammography-occult cancer that can be detected by breast MRI. The study is based on the hypothesis that overall breast density and bilateral asymmetry of breast density between left and right breasts associate with higher risk of developing breast cancer in shortterm. Thus, a new CAD scheme is developed to process images and analyze bilateral asymmetry of mammographic density and tissue structure. From the computed image features, a machine learning model is trained to generate an image marker or likelihood score to predict risk of having mammography-occult tumors. In this presentation, we report two cases in which screening mammograms are rated as BIRADS 2 by radiologists. Two women do not qualify for breast MRI screening due to the lower risk scores predicted by existing epidemiology risk models. CAD scheme analyzes mammograms of these two cases and produces high risk scores of having mammography-occult tumors. After applying breast MRI screening, two mammography-occult tumors are detected. Biopsy results confirm one invasive ductal carcinoma (grade 3) and one high-risk tumor of solitary breast papillomas, which needs to be removed by surgery. This study demonstrates potential advantages of applying CAD-generated image marker to detect abnormality or predict cancer risk that are missed or overlooked by radiologists. It can thus increase efficacy of using MRI as an adjunct tool to mammography to detect more subtle cancers.
KEMAMPUAN PENGGUNAAN TEKNOLOGI DAN MANAJEMEN RISET DALAM UPAYA MENGURANGI RISIKO BENCANA DI KABUPATEN BIMA

&#x0D; &#x0D; &#x0D; Local governments have problems in anticipating disasters, especially in the support of technology and communication system facilities. As a result, many casualties occurred repeatedly every time a natural disaster occurred. The urgency of the research is to describe the ability to use information technology and sustainable management research as an effort to reduce disaster risk in Bima Regency. The results of the study indicate that the operation of the Operations Control Center has provided improved performance in disaster management by the Regional Disaster Management Agency (BPBD) of Bima Regency. With the availability of a set of communication tools in the form of a mondopad monitor and radio communication for coordination in disaster management in the region to BNPB. The results of the research were then disseminated and disseminated, as well as disaster response simulations on campuses and schools in Bima Regency by involving international NGOs. In addition, the publication of research results can be used as a guide to reduce vulnerability by carrying out structural and non-structural mitigation. Basic efforts can be done by empowering the results of applied research from universities and research related to disaster management. One of them is through the study of the ratio of investment to each phase of disaster management.&#x0D; &#x0D; &#x0D;
Visualization of Real-time Twitter Data based on Sentiment Classification

Analyzing information from social media sites could bring great challenges and opportunities to solve many real time problems. It gives the public opinion about almost every product, personality or any service. The data from social networking sites is more accurate and useful to analyze the public sentiment about the trending topics. The activity of analyzing opinions, sentiments and also the subjectivity of data that is provided, is called sentiment analysis. Tweepy is an easy-to-use python library which is used to extract source data from twitter. From these tweets, features are extracted and then classified using Naïve Bayes algorithm to identify sentiment. This aims to provide an interactive automatic system which predicts the sentiment of the tweets posted in social media using python in real-time. These applications of sentiment analysis are broad and they tend to be very useful in today’s lifestyle. It will evaluate people's sentiment about the trends, entertainment, political issues and products which helps to improve marketing strategies with the help of hashtags, keywords etc.
Literary Analysis of Mysterious Characters of Suspension Characters in The Novel "Tell Me Your Dream" By Sydney Sheldon

This article aims to analyze strange characters of tremendous character in the novel Tell Me Your Dream by Sidney Sheldon. Like any other Sheldon's previous novel, this novel tells an interesting, strange story with a woman as the main character. The writer also employs the knowledge about the strange character which apply in the novel that can be used to convey information. And last but not least, the writer can give a contribution to teaching prose. Based on the background of the topic, the writer states the exact problems of this study as follows: 1) how is the definition of mysterious characters generally? 2) What are the multitudinous characters of the main character shown in the novel? 3) What is the benefit of Tell me your Dream in teaching Prose? Based on the problem the writer states, the objectives of this study are as follows: 1) To describe the definition of the multitudinous character. 2) To give an explanation of the multitudinous characters of the main character that occurred in the novel. 3). This research applied data collection method with Content-analysis: The method of data analysis through some ways such as reading the novel, books and international journal, international thesis, classifying the data, and analyzing the novel's content. Based on the analysis, the writer summarized that Tell Me Your Dreams, a novel written by Sidney Sheldon in 1998, is one of the media of teaching prose, for example, analyzing a novel. The benefit of analyzing novels for Teaching Proses is an alternative fun way of studying prose.
A Step Towards Learning Contraction Kernels for Irregular Image Pyramid

A structure preserving irregular image pyramid can be computed by applying basic graph operations (contraction and removal of edges) on the 4-adjacent neighbourhood graph of an image.In this paper, we derive an objective function that classifies the edges as contractible or removable for building an irregular graph pyramid.The objective function is based on the cost of the edges in the contraction kernel (sub-graph selected for contraction) together with the size of the contraction kernel.Based on the objective function, we also provide an algorithm that decomposes a 2D image into monotonically connected regions of the image surface, called slope regions.We proved that the proposed algorithm results in a graph-based irregular image pyramid that preserves the structure and the topology of the critical points (the local maxima, the local minima, and the saddles).Later we introduce the concept of the dictionary for the connected components of the contraction kernel, consisting of sub-graphs that can be combined together to form a set of contraction kernels.A favorable contraction kernel can be selected that best satisfies the objective function.Lastly, we show the experimental verification for the claims related to the objective function and the cost of the contraction kernel.The outcome of this paper can be envisioned as a step towards learning the contraction kernel for the construction of an irregular image pyramid.
Preliminary Exploration Of Theory And Practice Training Of 5G Ultrasonic Remote Consultation In The Grassroot Hospitals

Abstract Background: Many people in rural areas have not had an ultrasound examination for a long time due to lack of medical resources. So we go through training doctors in grassroot hospitals to explore the clinical and practical value of remote ultrasound. Methods: The Superior hospital will conduct ultrasonic theory and practice training for the grassroot hospitals. After passing the training, remote ultrasonic diagnosis will be carried out at the grassroot level, then feedback and case data will be collected. Results: Through training, the ultrasonic diagnosis level of the grassroot doctors has been significantly improved. At present, a total of 148 cases of consultation have been completed through remote ultrasound "visual apparatus", mainly abdominal ultrasound, and the common cases are fatty liver, hepatic cyst, gallbladder stone, kidney stone and so on . Conclusion: As a "visual apparatus", remote ultrasound can be routinely carried out in the grassroot hospitals, which can promote mutual benefit between doctors and patients and comprehensively promote the construction of healthy villages.
Tracking of Unmanned Aerial Vehicles Using Computer Vision Methods: A Comparative Analysis

Abstract Tracking of small objects in any given airspace is an integral part of modern security systems. In these systems, there are embedded methods that employ the techniques based on either radio waves, or acoustic signals, or light radiation. The computer vision operation, springing from the light radiation-based technique, has prompted interest in its research. This operation has the advantage of being less expensive than radars and acoustic systems. In addition, it can solve complex security problems by detecting and tracking humans, vehicles, and flying objects. Therefore, this article evaluates the usefulness of the varying computer vision algorithms for tracking of small flying objects.