Reviewerly/exHarmony huggingface dataset:
Automatic prostate segmentation using multiobjective active appearance modelin MR images

Prostate cancer is the second largest cause of mortality among men. Prostate segmentation, i.e. the precise determination of the prostate region in magnetic resonance imaging (MRI), is generally used for prostate volume measurement, which can be used as a potential prostate cancer indicator. This paper presents a new fully automatic statistical model called the multiobjective active appearance model (MOAAM) for prostate segmentation in MR images. First, in the training stage, the appearance model, including the shape and texture model, is developed by applying principal component analysis to the training images, already outlined by a physician. Then noise and roughness are properly removed in the preprocessing step by Sticks filter and nonlinear filtering. This helps us provide the proper conditions for the prostate region detection. Finally, in order to detect the prostate region, a new multiobjective function is optimized using a suitable search algorithm. The proposed method has been applied to prostate images for segmenting the prostate boundaries. The evaluation results indicate that the presented method can yield a DSC value of \({87.4\pm5.00\%}\), is less sensitive to the edge information and initialization, and has a stronger capture range in comparison with existing methods.
Research on Beautification Method of 3D Face Model Based on Texture

The beautification effect design method of the medical beauty industry mainly deals with the texture of the 3D face model, including texture local processing and texture overall processing method. In this paper, two new methods are proposed for texture local processing. One is the real-time texture local repair method based on fast marching method, the other is the ROI texture fusion method based on pixel extraction; the overall processing method for face-finished texture is lacking. A defect of model whitening effect is proposed, and an improved gamma transform texture pixel enhancement algorithm is proposed.
Algoritmos de desplazamiento de fase de siete cuadros para la perfilometría tridimensional usando proyección de franjas y cómputo suave

In this paper, we present a set of seven-frame algorithms for the phase shifthing profilometry and their application for the three-dimensional surface imaging using soft computing. This set obtained generate the most common seven-frame algorithms in the state of art. The algorithms are analized for the compensation of common errors such as phase shifthing, phase errors because variation of light or bias.
KEGIATAN LITERASI 15 MENIT TERHADAP MINAT BACA KELAS IV SD NEGERI SALATIGA 05

THE 15 MINUTE LITERATION ACTIVITIES AGAINST READING INTEREST OF 4TH GRADERS SD NEGERI SALATIGA 05This research aims to find out the reading interest of 4th graders SD Negeri Salatiga 05 after 15 minutes of literacy activity. This research is used qualitativ descriptive approach. The subject of this research is 4th graders students of SD Negeri Salatiga 05. Data collection was done using observation and questionnaire methods. The result of this research found several students who experienced an increase in reading interest after literacy activities were conducted, but there are still students who have low reading interest. The low interest in reading students is due to lack of attention and motivation towards books and the lack of the role of the teacher. The role of the teacher is very important, this teacher must understand the characteristics of each student's characteristics. Reading interest is felt to be very important because reading is an important part of growing character and competitive capital in the 21st century. This 15-minute literacy activity is one of the government's efforts to increase students' interest in reading in Indonesia to create a culture of literacy in formal education.
DISTANCE EDUCATION SYSTEM OF ELEMENTARY SCHOOL TEACHERS: THEORETICAL PRINCIPLES

Some peculiarities of the operation of a system of distant education of elementary school teachers were grounded in the paper; the purposes of distant education define the needs of every teacher in a continuous professional development during the life time and the need of society in the nation creativity; the subject matter of distant education is planned in compliance with an individual-developing and ethno-cultural strategy of the development of pedagogical education, the latest results of a scientific search of the improvement of information-communication technologies and provision on attestation of an electronic educational course at the level of a higher educational institution and Ministry of education and science of Ukraine; the technology of distant education is subordinate to its subject matter and aims, and is characterized by a stage-type, consistence, an individual-developing ability.The leading principles of the operation of the system of distant education of elementary school teachers are the adequacy to up-to-date requirements to a teacher in the conditions of the implementation of the social needs in nation creativity; the dependency on the needs of an educator in a continuous professional development with help of information-communication technologies; the integration of the contents of distant education in the system ingredients; the support of a creative nature of the technologies of distant education; a continuous transfer of the system to the vector of an individual development of a teacher (a future teacher); a psychological-pedagogical support of all the stages of a teacher’s getting ready for distant education; the interactive nature of the organization of distant education.The subject matter of distant education of elementary school teachers contains authors’ courses “Principles of distant education in elementary school” and “Information-communication technologies in the sphere of elementary education” (http://dls.udpu.edu.ua).
Exploratory opportunities based in seismic and attributes interpretation analysis in Paleogene turbidites sands, South Center Espírito Santo Basin

The present study represents an exploratory workflow applied to a dataset acquired in the central-south portion of the Espírito Santo Basin, southeast Brazil.This workflow used an industry multidisciplinary practice, following geological, geophysical and petrophysical analysis to better correlate all the data available (2D/3D seismic, well logs, stratigraphic markers and reports for the wells drilled in the area).As part of the study results, two potential exploratory opportunities were identified in the 3D seismic and called Beira Rio and Castelão both of them consisting of possible turbidite sands from the Paleogene, Urucutuca Formation, in structural traps sealed by shales under the influence of salt tectonics.
Ant Colony Based Mechanism for Increasing Life Time of Critical Nodes

MANET nodes act as a host as well as a router which increases the significance of every node for their participation in communication.Loss of any node in the network results in failure of links connected to the node which brings the importance of increased lifespan of a node.Some nodes during frequent transaction at critical network scenario consume more energy and become ill with critical energy level.Special attention towards these nodes can improve the lifespan of the node.In this paper an ant colony-based pheromone deposition mechanism was proposed to extend the lifetime of ill nodes.Pheromone deposited for the neighbor in the pheromone table helps in identifying frequently communicated neighbor.The proposed algorithm identifies the ill node and requests its frequently communicated neighbor for a tie up.The neighbor shares the workload of the ill node with mutual agreement.This method also improves the performance of a network by limiting pheromone deposition practice for low weighted nodes with low energy and high density (packet in queue).The proposed method increases lifespan of ill nodes and thereby increases the lifetime of entire network.The proposed work was also compared with existing protocol and the results have proved that the proposed mechanism has increased lifetime and reduced energy consumption of the entire network.
P-98 A modern view of hospice data

<h3>Background</h3> St. Cuthbert’s Hospice manages their patients’ records through SystmOne, a known patient record software. All the care services, in-patient and out-patient, are managed through the software, therefore it was possible to register outcome data and link it to a particular user, service, spell of care and phase of illness. This opened the path for developing an information system containing online-cloud interactive dashboards, all done with open source technologies, making it an affordable option. The system takes a patient-centred approach, which includes outcome scores per patient and their ‘journey’ across all services, having spells shared across the entire organisation and not by service, everything in one interface and accessible from any device with internet connection. <h3>Methods</h3> The information system works with the data structure of SystmOne, allowing the inclusion of any validated outcome measurement, not only limited to IPOS. The system is made entirely with the R programming language, using the Rstudio ecosystem and is intended to centralise all the data that a hospice produces from every patient. <h3>Conclusions</h3> Having a centralised information system allows hospices to see patients from every perspective, either if an in-patient or out-patient service was delivered. By having spells shared across all services it is possible to see sequentially how the patient has improved or deteriorated and how every department had an impact on the outcome. As most of the technology is open source, any hospice that currently uses SystmOne could make use of the system with little investment. Also, being able to see the data from any device connected to the internet can allow practitioners to access the patient’s outcome even when they are performing a home visit.
Thematic-integrative-based pictorial book for improving the understanding reading skills of elementary school students

The study aims at composing a picture book using the thematic-integrative approach that might improve the reading comprehension skills of the Grade IV students. With regards to the conduct of the study, the initiative that has been taken is research and development (R&amp;D). Within this initiative, product development refers to the model that has been developed by Borg &amp; Gall. Then, throughout the conduct of the study, 19 students had been involved as the field subjects and the data had been gathered by means of guided interview technique, observation, product fitness questionnaire, teacher and student response questionnaire and reading comprehension skills test. Furthermore, the product effectiveness had been tested by means of the quasi-experiment method and the data had been analysed by using the paired sample t-test with a significant rate of 0.05. The results of the study show that: (1) the thematic-integrative-based picture book has been fit for implementation as learning media based on the “Very Good” category that has been assigned by the media expert and the “Good” category by the material expert; and (2) the thematic-integrative-based picture book has been effective in improving the reading comprehension skills as having been confirmed by the improvement from the mean score 72.11 in the pre-test results into the mean score 81.63 in the post-test results. The improvement in the students’ reading comprehension skills has been shown by the significance value (p) 0.000. In addition, based on the paired-sample t-test it is found that p &lt; 0.05. This value indicates that the thematic-integrative-based picture book has a significant influence on the improvement of reading comprehension skills among Grade IV students.
Research on Subject Nature and Objective of Physical Education Training

Physical education and training is considered as a new subject among the same type of discipline. It has a short history background and is relatively young. However, the influence of the discipline of physical education and training must not be ignored by simply blaming it as the youngest discipline. In addition, especially in the case of rapid economic development and rapid improvement in living standards today, the influence of this discipline is relatively strong. Therefore, this thesis mainly studies the subject nature and object of physical education training. The research object of this subject can be studied from three key points, such as: the curriculum of the subject, the research method and the research of the subject of education. The comprehensive development of physical education and physical education is a comprehensive discipline.
Organization of research work of students at the university

The issues of involvement of Junior students in optional research work on the basis of the experience of student competitions, scientific and technical conferences, competitions at the Department of "descriptive geometry and graphics" of the Bryansk state technical University are considered.Special attention is paid to the age psychophysiological features of students.
Continuous Monitoring of the Ambient Factors via ε-Smooth Support Vector Regression

Thanks to the advances of the Internet of Things (IoTs), more and more wireless sensor networks applications have been realized. One of the fundamental but crucial applications is the continuous monitoring of environmental factors including temperature, humidity, illumination, etc. We develop a nonlinear regression model which takes spatial and temporal information into account to construct a globally three-dimensional heat map for a closed space based on very sparse sensor deployment. However, fitting the whole-space heat map with a very limited number of sensor observations gives a very poor estimation when we use a nonlinear model. We call it the coverage hole problem. We utilize the uniform experimental design which is well known in industrial statistics to allocate the synthetic sensors. We estimate those synthetic sensor readings on the basis of linear model locally. We then apply &epsilon; -SSVR, a nonlinear support vector regression model to fit the globally three-dimensional heat map by combining real sensor and synthetic sensor readings. The numerical results demonstrate our proposed model can enhance the accuracy significantly.
“APLIKASI ANDROID (SCAN EVENTKU) UNTUK MENDUKUNG PEMBELAJARAN REGISTRASI EVENT”

Technological developments have changed human behavior, including the behavior of junior high school students. Now generally junior high school students are already very active in using mobile phones, including using this Android Behavior, making the idea of students of the University of Bunda Mulia, major Information System to development interactive learning media based on Android, which are considered not boring, and more effective for improving student quality. In designing the media a set of Android applications was created called Scan Evenku to Support Learning Event Registration. Learning media which are the work of students are software that can be installed on mobile phones, like interesting games. The application has been tested by RPTRA Darma Suci Penjaringan, North Jakarta. From the results that have been tested, the application was warmly welcomed and the students seemed enthusiastic to use it. Normal 0 false false false IN X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-ansi-language:IN;} Technological developments have changed human behavior, including the behavior of junior high school students. Now generally junior high school students are already very active in using mobile phones, including using this Android Behavior, making the idea of students of the University of Bunda Mulia, major Information System to development interactive learning media based on Android, which are considered not boring, and more effective for improving student quality. In designing the media a set of Android applications was created called Scan Evenku to Support Learning Event Registration. Learning media which are the work of students are software that can be installed on mobile phones, like interesting games. The application has been tested by RPTRA Darma Suci Penjaringan, North Jakarta. From the results that have been tested, the application was warmly welcomed and the students seemed enthusiastic to use it. Normal 0 false false false IN X-NONE X-NONE <w:LsdException Locked="false" Priority="48" Name="Grid Table 3 Acce
Strategies for Gaining and Maintaining Employee Trust in Private and Public Institutions. The Case of University of Derby (UK) and Valley View University (Ghana)

Trust in the relation of the employer to employee is a key determinant to the success of every organization. Several research has been done on this subject matter but little attention is paid to educational instituitions. Therefore, the objective of this research is to identify and examine the strategies for gaining and employee trust in with emphasis on large organizations, and also to determine the impact of employee trust in both private and public educational institutions. Both quantitative and qualitative techniques are deployed to perform analysis on data collected from respondents from University of Derby, United Kingdom; and Valley View University, Ghana. Factors common to both case studies for gaining employee trust are the use of consistent approach, managers been role models, equal treatment of employees, similar work load, and team praise. Some recommendations are made to further improve the work. Keywords: Employee trust, Organizational performance, employee outcomes DOI : 10.7176/EJBM/11-33-09 Publication date: November 30 th 2019
Publisher Correction: Cockade structures as a paleo-earthquake proxy in upper crustal hydrothermal systems

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
An Application of Arabic Language Teaching Based on Error Analysis Theory

Islamic Boarding School is an Indonesian Islamic education institution that has great attention to learning Arabic.To improve student language, this institution teach composition systematically in the Insya' lessons.However, the Institute continues to face considerable difficulties in learning the Arabic language.Those difficulties appear in the high frequency of errors in the structure of Arabic Sentence.The purpose of this study was to design the Student Worksheet materials based on linguistic error analysis of students in their composition, as an alternative in solving the problems to improve Arabic language skills.The results of the study is that using the linguistic errors analysis to design the Student Worksheet materials is very useful and able to reduce the linguistic errors in the student's composition.It was shown by the high posttest result when compared with pretest result.
Segmentation of photovoltaic panels in aerial photography using group equivariant FCNs

Previous research has shown the benefits of group equivariant convolutions for image recognition tasks. With this work we apply group equivariance to the segmentation of photovoltaic (PV) panel installations in aerial photography to determine whether the benefits translate to aerial photography segmentation. We create a custom annotation of PV panel installations in two Dutch cities using open access aerial photography. We show that group equivariant versions of traditional and residual convolutional neural networks indeed perform at least as well as the traditional versions and provide better generalization.
SPEAKING SKILL AND PICTURE SERIES ON EFL CLASSROOM

This study was aimed to find out whether by using this techniques can motivate students in speaking. Result shows that the students’ ability in speaking English has a better ability after the students having the treatment. It is also proves that the application of procedures in using pictures series can also improve the students ability in speaking in five terms according to Oller,John W, they are accent, vocabulary, grammar, fluency, and comprehend. The purpose of the study aims to investigate whether the ability of the students after they have had treatment have better in the ability than before. This study was administered to the eleventh grade students of MIPA on SMAN7 Banjarmasin. The results of the research show that the teaching techniques can improve students speaking ability in both the first cycle and the second cycle, but the researcher only took 18 students for this study because their ability in speaking English is medium to low in ability in contrast to other students. This finding also proves that students’ ability. It also proves that the application of procedures in using serial pictures can improve the ability of English speaking students in five terms as mention before. From the data analysis the value of significant column p- 2tailed at the table show .000 which is lower than 0.05. That is the researcher conclude that; accent, vocabulary, grammar, fluency and also comprehension, the formulated null hypothesis was rejected. Regarding the result of the research showed that it did work.
Prediction of Hospital Readmission for Heart Disease: A Deep Learning Approach

Hospital readmissions consume large amounts of medical resources and negatively impact the healthcare system. Predicting the readmission rate early one can alleviate the financial and medical consequences. Most related studies only select the patient’s structural features or text features for modeling analysis, which offer an incomplete picture of the patient. Based on structured data (including demographic data, clinical data, administrative data) and medical record text, this paper uses deep learning methods to construct an optimal model for hospital readmission prediction, tested on a dataset of heart disease patients’ 30-day readmission. The results show that when only structured data is used, the deep learning model is much better than the Naive Bayes model and slightly better than the Support Vector Machine model. Adding a text model to the deep learning model improves performance, increasing accuracy and F1-score by 2% and 6%, respectively. This indicates that textual information contributes greatly to hospital readmission predictions.