Reviewerly/exHarmony huggingface dataset:
THE MEANING-BASED APPROACH TO ASSESSING THE IMAGES OF YOUNG AND ELDERLY WOMEN AND MEN

The study was inspired by the widely documented evidence about socio-cultural changes in the status and behavior of women in recent decades.The objective was to compare the images that younger and older women have of younger and older women and to compare these images with the images they have of younger and older men.It was expected that the differences would be larger in regard to the images of women than of men.The participants were 80 younger (25-40 years old) and 80 older women (50-65 years old).The method consisted in administering a meaning-based questionnaire of 43 items which provided scores for four clusters referring to perceptual-sensory, actional-dynamic, experiential-cognitive and contextual-situational aspects.The assessed images were of young women, older women, young man and older men.Mean comparisons between and within groups showed highly significant differences in the images of women and men, in most clusters, more in regard to women than to men.The findings indicate major differences in conceptions relating to gender and age.The meaning-based assessment tool proved to be sufficiently sensitive to differences and sufficiently comprehensive to provide an overall perspective.
How To Send Text From Email (Best Methods)

In this blog post, I will explain how to send text from email. The world of technology is a beautiful one, but its also a chaotic one that can cause you ...
탐사보도의 비윤리적, 위법적 취재방법과 취재의 자유에 관한 수용자 인식 연구

This study surveyed Korean consumers and analysed their acceptance of unethical and illegal news coverage methods of investigative journalism. While consumers recognized that investigative news played two roles of monitoring society and providing information, they were generally negative about unethical and illegal methods. Consumers thought that freedom of press was not absolute. Consumers’ idea of freedom of news coverage was changed by news coverage methods and report aims from the extremely limited to the constitutional basic right. If consumer valued the role of social monitoring highly, he considered news coverage methods justly and if he valued information provision highly, he considered them unjustly. Usage of investigative news had positive effects on many coverage methods, which meant that consumers were generally satisfied with investigative news. Women allowed coverage methods more than men. The lower the age and the educational background were, and the higher the income were, the coverage methods were more justified. Usage of environment and health news had positive effects on coverage, but usage of education, government and crime news did negative effects.
PENGEMBANGAN MEDIA INTERAKTIF BERBASIS SITUS CANDI DI JAWA TENGAH UNTUK MENINGKATKAN HASIL BELAJAR DAN KESADARAN KEBERAGAMAN BUDAYA SISWA MAN 1 KOTA MAGELANG

This research is a need analysis in nature by developing finding, yielding, and improving a History learning media as well as testing the effectiveness of the product so that it becomes more effective, efficient, meaningful, and up to date. The product expected is a History learning module based on the temple sites in Central Java, namely: Ngawen temple, Mendut temple, Selogriyo temple, and Candi Asu Sengi temple, which is packed in an Interactive Media to improve the students’ learning result and historical variety awareness. This research used the Research and Development (RD the former is greater than the latter.
The establishment of peritonitis management system for patients with peritoneal dialysis in primary hospitals of 4R theory

ObjectiveTo explore the role of 4R crisis theory in the establishment of peritonitis management system for patients with peritoneal dialysis in primary hospitals.MethodsA total of 186 cases of peritoneal dialysis patients who were followed up in our hospital from January 2018 to January 2019 were selected as study objects. The patients were divided into control group (87 cases) and intervention group (99 cases) by convenience sampling. The control group received the routine management method, and the intervention group received the 4R crisis theory for management on the basis of the routine management. The incidence of peritonitis and the operation assessment qualified rate were compared between the two groups.ResultsThe incidence of peritonitis was 26.44% in the control group, and the incidence of peritonitis was 12.12% in the intervention group, the incidence of peritonitis in the intervention group was lower than that in the control group, with statistically significant difference (χ2=6.212, P=0.013). 60 patients in the control group qualified for operation, with a qualified rate of 68.97%; 85 patients in the intervention group qualified for operation, with a qualified rate of 85.86%; the qualified rate of the intervention group was higher than that of the control group, with statistically significant difference (χ2=7.69, P=0.008).Conclusion4R crisis theory can effectively reduce the incidence of peritonitis in patients with peritoneal dialysis, and gradually form the management system for peritonitis in patients with peritoneal dialysis in primary hospitals.Key words: 4R crisis theory; Maintenance peritoneal dialysis; Peritoneal dialysis associated peritonitis
Dynamically Provisioning Cray DataWarp Storage

Complex applications and workflows needs are often exclusively expressed in terms of computational resources on HPC systems. In many cases, other resources like storage or network are not allocatable and are shared across the entire HPC system. By looking at the storage resource in particular, any workflow or application should be able to select both its preferred data manager and its required storage capability or capacity. To achieve such a goal, new mechanisms should be introduced. In this work, we introduce such a mechanism for dynamically provision a data management system on top of storage devices. We particularly focus our effort on deploying a BeeGFS instance across multiple DataWarp nodes on a Cray XC50 system. However, we also demonstrate that the same mechanism can be used to deploy BeeGFS on non-Cray system.
An improvement algoithm for Iris classification by using Linear Support Vector Machine (LSVM), k-Nearest Neighbours (k-NN) and Random Nearest Neighbous (RNN) / Ahmad Haadzal Kamarulzalis and Mohd Asrul Affendi Abdullah

In machine learning, there are three type of learning branch that can used in classification procedures for data mining. Those branchconsist of supervised learning, unsupervised learning and reinforcement learning. This study focuses on supervised learning that seek to classify all the Iris dataset respect to three species (setosa, versicolor and virginica) in order them to mimic the actual dataset by using Linear Support Vector Machine (LSVM) , k-Nearest Neighbours (kNN) and Random Nearest Neighbours (RNN) as a method. Aims of this study is to improve an existing algorithm technique for classification. The ideas come from a combination of k-NN algorithm and ensemble concept. Next, is to identify the best model for classification procedures. Existing Performance Measurement Tools such as overall accuracy and misclassification error rate (MER) areused for each classifier. Random Nearest Neighbours (RNN) has the highest accuracy value with98% and2% misclassification error rate (MER) compare to other classifier. Therefore, Random Nearest Neighbors (RNN) is preferable for supervised learning classification procedures.
Analyze and Control 2-Wheeler Auto Balance System

Auto Balancing System is available in the industry for 4-wheeler and above. However, the same piece of technology is absent in 2-wheeler. As a typical non-linear and dynamic balancing system, the 2-wheeler self-balancing vehicle has become more and more popular. It is because the design for 2-wheeler is small size, energy-saving compared to 4-wheeler and above and had a flexible rotation. However, current control algorithms concerning 2-wheeler self-balance vehicles are primarily suitable for balance vehicles under manual real-time control instead of full-auto vehicles. To achieve auto-balancing system, the relationship between DOF need to be understand how it works and how those parameters will affect each other, in other words, the parameters revolving around the application need to be considered. In this project, those parameters are steering angle, roll angle, pitch angle and yaw angle. To determine the relationship between those parameters, straight road test and bumper test experiment will be conducted. Next, sensors such as gyroscope and accelerometer will mount on the 2-wheeler to collect parameters data. The data collected will further perform noise reduction in MATLAB filtering function to improve the data quality. In MATLAB filtering function, three filtering method such as low pass filter, Butterworth low pass filter and Moving average filter are used to perform noise reduction. In addition, a mobile Kinetic Sensor Application is used to determine those parameters and will perform efficiency comparison between hardware gyro-sensor and mobile build in gyro sensor. The data collected from the experiment will be analyse and recorded down by using Arduino IDE, MATLAB and MATLAB-SIMULINK model. Last but not least, four-degree of freedom Linear half-car suspension system modelling will be implement in MATLAB-Simulink. Implementation of linear half-car suspension system is to observe the pitching motion that will affect the stabilization of the 2-wheeler. By the end of the thesis, the unnecessary DOF which cause a least effect in balancing a single-track vehicle is reduced, a complete data set was collected and analysed, one out of three filtering method will be use for the future improvement and future application development, efficiency comparison between hardware sensors and mobile software kinetic sensor and mathematical expression for pitch Modelling is implemented to further perform analysis.
A Solution to Neural Message Passing

Because of the learning process of the messaging neural network from the inside out, it can explain a game almost perfectly, from the micro to the macro. We need to feed it a certain amount of data. We set a half court as the unit for our AI. Every machine, even AI, is born to work. After our message passing neural network has learned to recurse and reasoning, it is time to get to work. With trained AI, we can explore unknown data spaces. All we need to do is to change the location properties of a few nodes on the input multidimensional graph. We change the structural strategy of all the data sample graph, then we can calculate the average performance indicators of this structural strategy.
예비유아교사 대상 메이커 교육 모형 적용에 따른 변화 탐색

Objective: The purpose of this study is to conduct maker-education for prospective child care teachers explore changes and for the results to be used as a basic data to study the utilization of maker-education.Methods: To that end, 36 prospective child care teachers attending nursery school applied to the maker-education program and to the curriculum of children s literature and play. The collected interview materials and student journals were qualitatively analyzed.Results: The results showed that prospective child care teachers started with mixed expectations and but then actively participated in worries classes with interest and had fun. Also, in the stage of sharing, they changed from having difficulty communicating with colleagues to developing an attitude of cooperation and unity through communication. In addition, it has been shown that from feeling the difficulties of planning, planning changes and modifications are directly related to their development and that they are quickly and wisely dealt with.Conclusion/Implications: It is recognized that there is a need for a follow-up study to verify the effect of this as meaningful implications are derived from the effects of positively accepting feedback, planning to attempt a step-by-step approach, and active attitude toward communication between colleagues.
QR Code based Student Monitoring System

A system that takes down student's attendance, marks and assignments using QR code.Every student is provided with a card containing a unique QR code.Teacher just have to scan the student cards in front of webcam and the system notes down their attendance , marks and Assignments as per dates.After note down the attendee student parents will get the SMS.when the children enters the bus, QR code is scanned by the driver, when bus gets started, the GPS in mobile is turned on so that parents can easily track the bus location of their child, thus parents get notification through SMS once child enters/leaves the school.Parents will give the feedback for our application and all feedback are visible to the admin.Such type of application is very useful in school.This system enables us to speed up the process of taking attendance and would save valuable teaching time.
LibGuides: Information Technology: Specialized Databases

This guide is for the general subject Information Technology. It contains resources available in the NCU Library.
Image Processing Applied to Medical Science for the Study of Liver Cancer Using Segmentation in Magnetic Resonance Imaging

The objective to develop some algorithms with new techniques of image processing for the automatic segmentation of the liver using magnetic resonance images.The methodology is based in a descriptive description was proposed that allows to combine the information of multiple channels using statistical models that have as a central point the multivariate and multisequence gaussian distribution.In this way, we will approach the spatial distribution having as a central point the intensity values in the different sequences and, therefore, we will be able to capture the variability of the data in each sequence at that moment.The results are based on the segmentation references and the proposed evaluation metrics to be able to validate the development different methods for segmentation were applied as inputs and what was obtained as a result of the segmentation originated a group of images that correspond to each of the cuts that have maximum resolution in the obtained sequences.All the images obtained here including the segmentation referred to, must be binary and their pixels must be marked with 1 (liver) or 0 (without liver).In conclusions the segmentation method that we propose here will consist of an active contour modeling in 2D and 3D and that will be developed in images that will be produced based on a new developed descriptor, having as an important point to minimize the image with an Approximation that is dual to the variational problem which should give us good results in the segmentation process.
한국 최초 근대 여성교육의 선구자 메리 F. 스크랜턴의 선교사상과 조선선교

Mary F. Scranton was a missionary who understood the demands of the era of blooming and reform at the end of the Chosun Dynasty and applied it to mission. In particular, she lived a pioneering career in women’s education, which promoted social transformation through education and medical mission, restored human rights to poor and marginalized women through Christian education, and elevated women's values. Scranton looked at the fate of the tipping ship and gave the women of the Chosun Dynasty pride. They regained their pride as the Chosun people and she enlightened them through education so that the future of the Chosun Dynasty could be proudly built up. Her missionary enthusiasm, dedication, and courage were a ray of light and hope in the darkness of Chosun. It was also the woman who made the dawn of Protestantism come to light in the land of the barren gospel.
PENINGKATAN PENGETAHUAN REMAJA TENTANG PENTINGNYA MINUM TABLET Fe SAAT MENSTRUASI DI SMA BK 06 JUWANGI

Abstract In young women, menarche and mensis begin to occur accompanied by the disposal of a number of Fe (Djaeni, 2004). Menarche is the first menstruation of women that generally occurs around the age of 10-11 years. The output produced is an increase in adolescent knowledge about anemia and the benefits of Fe. The method of service used in the partner group was counseling to young women at BK 06 Vocational High School class X which amounted to 35 female students, who had previously conducted a pre-test and post-test to determine adolescent knowledge about anemia and the benefits of Fe. Community service conducted at BK 06 Juwangi High School was carried out by involving 35 X grade students. At the beginning of the activity the extension team introduced activities followed by giving a questionnaire to determine the level of knowledge of young female students about anemia and the benefits of Fe. Of the 35 adolescents all have experienced menstruation. The results of the pre-test and post-test analysis were carried out, it was seen that the level of knowledge of the counseling participants before and after the provision of information experienced an increase in knowledge. Before giving counseling to teenagers who knew about the benefits of Fe there were 10 female students, after being given counseling there were 30 female students. Providing information to adolescents in the form of counseling on Mentrasi, Anemia, and the Importance of Fe is very necessary for adolescents who experience anemia, because one of the effects of anemia is affecting student achievement.
Open competition for the appointment of an Education...

Open competition for the appointment of an Education Officer for Traveller Culture and History in the Curriculum
Models of Concurrent Kleene Algebra

Kleene Algebra and variants thereof have been successfully used in verification of se- quential programs. The leap to concurrent programs offers many challenges, both in terms of devising the right foundations to study concurrent variants of Kleene Algebra but also in finding the right models to enable effective verification of relevant programs. In this talk, we will review existing and ongoing work on concurrent Kleene Algebra with a focus on a variant called partially observable concurrent Kleene algebra (POCKA). POCKA offers an algebraic framework to reason about concurrent programs with control structures, such as conditionals and loops. We will show how a previously developed technique for com- pleteness of Kleene Algebra can be lifted to prove that POCKA is a sound and complete axiomatization of a model of partial observations. We illustrate the use of the framework in the analysis of sequential consistency, i.e., whether programs behave as if memory accesses taking place were interleaved and executed sequentially. The work described in this invited talk is based on [1, 2, 3], and it is joint with a won- derful group of people: Paul Brunet, Simon Docherty, Tobias Kapp ́e, Jurriaan Rot, Jana Wagemaker, and Fabio Zanasi.
학습경험 Flow 평가측정을 위한 NCS 기반 패션디자인 상호작용 요소 제안

NCS vocational education evaluation methods and standards are uniform, injectable, and educational programs that hinder the creation of fashion design activities due to job-based education (knowledge, technology, and attitude). Complex interactions are required. As a basic research to verify this, the element of learning interaction is proposed and the effect of self-directed learning loyalty through the second proposed personal, operator and social interaction interaction elements. For the element proposal, a questionnaire was conducted for demand survey and related industries, and final decision was made by collecting opinions from advisors and NCS education experts. First, the proposed interaction is the first personal interaction, in which participants can present the curriculum contents to learners for accurate learning goals and establish the will to achieve goals and learning goals according to the learning plan. It is an element to be able to conform to. The second Operator Interaction element is the helper tool element given to the student to solve the learning objectives. The Social Interaction element is a factor that enables a leading learning experience by providing communication in the process of conducting in a virtual space where all students are unable to follow due to the large number of practical classes. The above three interactions are thought to not only increase the level of academic achievement through the learning experience flow, but also increase the satisfaction and achievement of the learning process, as well as the job success for self-esteem and the future. In the future, this study aims to verify that the cognitive interaction of NCS learning experience flow is important to provide education participants with factors related to personal, operator, and social interaction in order to enhance self-directed learning loyalty.
Повышение обобщающей способности нейронных сетей и селекция обучающих выборок

Evaluating the number of hidden neurons necessary for solving of pattern recognition and classification tasks is one of the key problems in artificial neural networks. Multilayer perceptron is the most useful artificial neural network to estimate the functional structure in classification. In this note, we show that artificial neural network with a two hidden layer feed forward neural network with d inputs, d neurons in the first hidden layer, 2d+2 neurons in the second hidden layer, k outputs and with a sigmoidal infinitely differentiable function can solve classification and pattern problems with arbitrary accuracy. This result can be applied to design pattern recognition and classification models with optimal structure in the number of hidden neurons and hidden layers. A direct relationship between the compactness estimates and the generalizing ability of neural networks is experimentally proved. It is experimentally proved that the minimum number of hidden layers, the number of neurons in hidden layers, and the removal of noise objects affect the indicators of the generalizing ability of neural networks.
Graphics and Animation in PyQt

After going through many examples in previous chapters that introduce you to the fundamentals for building GUIs, Chapter 9 finally allows for you to explore your creative and artistic side through drawing and animation in PyQt5. Find out about Qt’s QPainter API, Graphics classes, creating custom widgets and more in this chapter!
Classroom Study of Online Education Experiment in China under Epidemic Control Situation

In year 2020, in response to unexpected Coronavirus, the Chinese Ministry of Education put forward the requirements of ＂classes suspended but teaching won't stop, classes suspended but learning won't stop＂ The ＂Learning Revolution＂ in education has been furtherpromoted With the strong support and cooperation of the government, radio and television stations, network companies and parents, 200 million students in China achieved home-based classes
Best Cell Phone Tracker Apps To Track A Cell Phone

In this modern society that we live in today, there are many apps that you can use to track a cell phone whenever you need to. In this blog post, I will ...
LibGuides: Video tutorials: Home

This page contains links to video tutorials made by CCNY Librarians. They highlight how to use our various services, short guides to specific databases, and more.
Non-iterative Covariant Feature Extraction Based on the Shapes of Local Support Regions

Feature extraction is important in image matching. However, the perspective deformations, especially the anisotropic scaling deformations will affect the performances of feature extraction algorithms. To improve the image matching results when notable perspective deformations exist, an algorithm for extracting feature points and covariant regions is introduced in this paper. We propose using a new type of feature points, the “inside corner points” as seed points. And we propose using a multi-scale seeded region growing method to find the local support regions for feature points. Based on the shapes of local support regions, an image patch around a feature point can be rectified by doing shape normalization, and the anisotropic scaling deformations can be reduced by the rectification. By doing image matching with these rectified image patches, the matching results are notably improved.