Reviewerly/exHarmony huggingface dataset:
[Paper] CFA Handling and Quality Analysis for Compressive Light Field Camera

A light field can carry rich visual information of a real 3-D scene, leading to many attractive applications. However, the acquisition of a light field is challenging due to the large amount of data. In our previous work, we proposed an efficient method for this task using a coded-aperture camera with a convolutional neural network (CNN) which can computationally reconstruct a light field from several images acquired with different aperture patterns. In this work, we report two follow-up contributions to the previous work. First, we integrated a color filter array, which is common in RGB cameras, and the related color processing into the algorithm pipeline. This integration led to better reconstruction quality for color light fields. We then analyzed how the reconstruction quality obtained with our method was affected by the complexity of light fields. We also showed the possibility of using this analysis to predict the reconstruction quality from the acquired images.
LibGuides: So you want to know more about Serial Killers?: Killer Psychology

Are you interested in true crime, but don't know where to start? Are you a serial killer aficionado interested in what your library has to offer? You've come to the right place! The psychology behind the crime.
Architecture teachers during the early days of North Korea: Between liberation from Japanese colonial rule and the establishment of a socialist state

Abstract In this study, we examined the career records of five teachers involved in architectural education during the early period of the Democratic People’s Republic of Korea. The records included materials related to the appointment of these teachers to the architecture program at Kim Il‐sung University and details related to their career histories and autobiographies. We analyzed the materials to gain insight into the lives of those in charge of architectural education in the fledgling republic while comparing and relating their histories with the social circumstances of the period.
CLICKBAIT: SENSASI DAN ORIENTASI IKLAN JURNALISME ONLINE

Abstract The development of online media is growing rapidly. Persaubakan public attention inÂ the end sacrificing the quality of online journalism. This article describes in general theÂ phenomenon of clickbait media in Indonesia. Clickbait is a phenomenon of online journalismÂ sensation that further emphasizes news titles that attract attention and tempt public readingÂ tastes. The aim is none other than to attract readers or citizens into a website and gain what isÂ called a page view or the number of clicks that enter. This article highlights the patterns, formats,Â mechanisms and strategies employed by the clickbait online media in Indonesia. The pattern isÂ almost the same, namely modifying the headline so that full attention and sesansi. The ClickbaitÂ phenomenon is not only in Indonesia, but occurs in the realm of global media. This phenomenon arises when journalism enters a digital era where media managers must know how to increaseÂ traffic from the news they make. Clicks from users can also be measured, and become income forÂ them. The focus of this article is that online media causes the phenomenon of the collapse ofÂ scientific assessment standards as well as the collapse of journalism standards in the currentÂ digital era. social. So that the role of the media to educate and educate the public morally is mortgaged for the sake of demands for clicks and advertisements. Keywords: Clickbait, Online Journalism, Sensation and Advertising
Effective Use and Interpretation of Litho Geochemical Information in Regional Mineral Exploration Programs: Application of Geographic Data Systems (GIS) Technology

A Geographic data system (GIS), mutually with applied mathematics and geostatistical software package, has been accustomed compile, manipulate, analyses and visualize an outsized litho geochemical dataset collected from the Archean age Swayze greenstone belt (SGB) placed in northern Ontario, Canada. Altered samples from this information are known employing a form of univariate and variable applied mathematics and visual image techniques. Alteration maps area unit created for every methodology, and compared to famous gold mineralization exploitation the weights of proof technique. Major chemical compound information area unit interpolated exploitation totally different sample teams (all, altered, unaltered, normalized samples), and abnormal concentrations area unit separated from background exploitation breakpoints on likelihood plots of the information, in addition as statistics generated from WofE analysis. These maps are evaluated, exploitation WofE analysis, with relation to locations of famous gold prospects. The atypical normative mineral methodology is additional sensitive for distinguishing alteration in felsic rocks (felsic volcanic rocks, granitoids), whereas the volatile methodology is additional sensitive for detective work alteration in mafic volcanic rocks and matter rocks. Altered samples area unit characterized by higher SiO2, K2O and MnO concentrations, and lower MgO and TiO2 concentrations. Areas at intervals the greenstone belt characterized by high concentrations of CaO, Fe, K2O and Al2O3 were found to the simplest predictors of the famous gold prospects. Anomalously high concentrations of those oxides replicate carbonatization, Fe-carbonate alteration and potassic alteration trends, and indicate that these alteration designs area unit spatially associated with gold mineralization. The WofE methodology may be a helpful technique with that to judge the geochemical maps created during this paper.
Boca a Boca Virtual: Presença Digital para Pequenos Empreendedores

In this work, we present the platform Boca a Boca Virtual, a kind of virtual catalog that aims to help self-employed professionals and small businesses to start their presence in the digital environment, promoting their services and products in a simple and fast way. The idea emerged during the beginning of the COVID-19 pandemic, especially with social isolation, whose concern, from an economic and social point of view, was to allow autonomous service providers and establishments, in general, to continue offering their products and/or services. Through the platform, a consumer can search for a specific product and service within his own neighborhood and city, strengthening the local economy. In addition, Boca a Boca Virtual is integrated with Google Maps, in such a way that registered developments are also indexed by the Google search engine, improving their visibility and potentially increasing more customers. The platform is fully responsive, combining several recent web development technologies. Today it has more than 140 registered enterprises, from more than 30 Brazilian cities.
IMPLEMENTASI ALGORITMA FUZZY C-MEANS UNTUK MEMPREDIKSI FAKTOR SISWA MEMBOLOS

Truant behavior does not merely affect student learning achievement, but is also classified as one form of juvenile delinquency. Adolescents' self-esteem is a deviant behavior because there are behavioral deviations from various social rules or from prevailing social values and norms and become a source of problems that can endanger the upholding of the social system. ditching activities as well as things that can set the background for other problems arise. Evidently, truant students often get involved with things that tend to harm themselves and others such as smoking, brawls, and free association. The mistake of truant behavior is mostly borne by students involved in skipping school. When case after case ditching can be revealed students are the ones who become the burden of mistakes. This is an attitude that does not support their potential will only add to their problems. Therefore, this research requires indicators and parameters in finding the solution to the problem of influencing students. For data processing, this study uses the Fuzzy C-Means method. This method was chosen because the placement of the cluster center is more appropriate than the other cluster methods.Cluster 1 is 70 students (56.4%), Cluster 2 is 25 and Cluster 3 is 29 students (23.4%).
Designing Android-Based National University News Portal Application with First In First Out (FIFO) Method: Designing Android-Based National University News Portal Application with First In First Out (FIFO) Method

The study discusses the creation of an Android-based Internet news portal dedicated to the internals around the National University campus using the PHP Framework CodeIgniter (CI) and MySql databases. This news Portal is designed using Unified modeling Language. This news portal is created inspired by news portal sites that have many benefits to operate. This news Portal serves as a means for the public information media environment of the campus, especially for students at the National University, because the number of students very large reaches almost 5000 students. Media information is not available to meet the needs of students who want the speed and currency of information about the campus. This need can be met with media that can move fast and on a large scale. This news portal site contains the latest news about the National University, which includes formal and informal news. Considering this news site will add information and insights to the newsreader
Exploration of 5G Traffic Models using Machine Learning

The Internet is a major communication tool that handles massive information exchanges, sees a rapidly increasing usage, and offers an increasingly wide variety of services.   In addition to these t ...
DEVELOPING WRITING SKILL OF GRADE EIGHTH STUDENTS AT SMP OTAK KANAN PALU THROUGH DICTO-COMP TECHNIQUE

The objective of this research is to verify the use of Dicto-Comp technique in developing students’ writing skill. This research applied pre-experimental research design on one group pretest-postest design. The population of this research was the grade VIII students of SMP Otak Kanan Palu which consist of 23 people. The research sample was selected by using total sampling technique. The data were collected from tests that given as pre-test and post-test. The data were analyzed  using both Descriptive Statistical Analysis and Inferential Statistical Analysis. The result of pre test shows that the mean score is 64.82 and the result of post test is 71.74. By applying 0.05 level of significance and the degree of freedom (df) 22, the results indicate that t-observed (10,81) is higher than t-value (2.074). In other words, Dicto-comp technique in language teaching can improve students’ writing skill on writing descriptive text. Key Words: Writing Skill, Descriptive Text, Dicto-Comp.
LibGuides: College-wide Composition 1 Research Guide: Scholarly Journals vs Popular Magazines

Research guide for ENC 1101 - Composition 1 Discover the differences between the two information types
Pelatihan pembelajaran inovatif berbasis Mentimeter

Mentimeter is an online presentation platform that allows dynamic interaction between presenters and audiences in a virtual space. One of the challenges of online learning is the difficulty of exploring the interactions between students and teacher. This is a problem for most mathematics teachers, especially at Muhammadiyah Junior High Schools in Yogyakarta City. This community service activity aims to train targeted mathematics teachers to be skilled at utilizing the mentimeter platform in synchronous online learning. The activity involved the Majelis Dikdasmen PDM Kota Yogyakarta as a partner. There were 21 mathematics teachers participating in the training. The training is carried out online using demonstration and practical methods. At first, none of the teachers were familiar with or used the mentimeter. After the training, 11 teachers admitted that they really needed the material, 10 teachers were able to attend the training well, and 10 teachers were interested in applying it in their learning. This means that training has a positive impact on the professional development of SMP Muhammadiyah teachers throughout Yogyakarta.
Scientific Partnership - a new level of collaboration between environmental scientists and IT specialists

&amp;lt;p&amp;gt;ICT technologies play an increasing role in almost every aspect of the environmental sciences. The adaption of the new technologies, however, consumes an increasing amount of scientist's time, which they could better spend on their actual research. Not adapting new technologies will lead to biased research, since many researchers are not familiar with the possibilities and methods available through modern technology. This dilemma can only be resolved by close collaboration and scientific partnership between researchers and IT experts. In contrast to traditional IT service provision, IT experts have to understand the scientific problems and methods of the scientists in order to help them to select and adapt suitable services. Furthermore, a sound partnership helps towards good scientific practice, since the IT experts can ensure the reproducibility of the research by professionalizing workflows and applying FAIR data principles. We elaborate on this dilemma with examples from an IT center&amp;amp;#8217;s perspective, and sketch a path towards unbiased research and the development of new IT services that are tailored for the scientific community.&amp;lt;/p&amp;gt;
Building Location Embeddings from Physical Trajectories and Textual Representations

Word embedding methods have become the de-facto way to represent words, having been successfully applied to a wide array of natural language processing tasks. In this paper, we explore the hypothesis that embedding methods can also be effectively used to represent spatial locations. Using a new dataset consisting of the location trajectories of 729 students over a seven month period and text data related to those locations, we implement several strategies to create location embeddings, which we then use to create embeddings of the sequences of locations a student has visited. To identify the surface level properties captured in the representations, we propose a number of probing tasks such as the presence of a specific location in a sequence or the type of activities that take place at a location. We then leverage the representations we generated and employ them in more complex downstream tasks ranging from predicting a student’s area of study to a student’s depression level, showing the effectiveness of these location embeddings.
Ψηφιακή επεξεργασία και ανάλυση ιατρικών εικόνων

This thesis presents the basic methods of digital image processing and analysis.In the First Chapter, an introductory reference is made to the elementary components of the digital image but also to the analysis of its geometry. Reference is also made to the digital image processing stages.The Second Chapter presents in detail the techniques of digital Image Enhancement. The purpose of this chapter is to develop applications that improve images by eliminating noise or adjusting brightness.Chapter Three describes the method of digital Image Restoration. This method has proven to be extremely useful as by downgrading the model, a complete reversal is performed to recover the original image. A typical example is the Wiener filter, which includes both the downgrade function and the statistical noise characteristics in the recovery process.In the Fourth Chapter the main theme is Image Analysis. This technique is useful as it improves the quality and content of the image information before processing. Image Analysis includes the study of feature extraction, segmentation, and classification techniques.The Fifth Chapter refers to the Analysis of the Texture. This method involves characterizing the areas of an image through the statistical and choral behavior of its pixels.In the Sixth and last Chapter, the program that was executed on the MATLAB platform is presented. The goal of the program is to train neural networks to detect cancerous tumors in lung X-rays by using Texture techniques.
Features of the application of mathematical models of tests in the conditions of remote control

The paper explores one of the current issues of distance education - the quality of computer tests in terms of ensuring objective control of knowledge. This issue is especially important in today's pandemic and temporary quarantine. The main attention is paid to a statistical analysis of test quality based on test results using CTT and IRT methods. Using modern statistical methods, the authors analyzed the results of testing prepared and conducted during the quarantine period. As an object of study, a test on “Integration of functions of one variable” was chosen, which students completely mastered remotely. The tests were created on the basis of the MOODLE platform at Igor Sikorsky Kyiv Polytechnic Institute, by proffessors of the Department of Mathematical Analysis and Probability Theory. Data processing is carried out using a system for test analysis, created by the authors in the programming environment R. The system allows you to process tests in different areas: pedagogy, psychology, sociology, etc., different in structure; use both CTT and IRT apparatus; work with large data sets; to analyze not only test questions, but also respondents; more accurately differentiate respondents. Based on the study, the possibility of conducting electronic testing remotely was confirmed. The technology used in the study can be used to create and analyze the tasks of external evaluation, conducting session control during quarantine. The use of the methods studied in the work for the analysis of test tasks will increase the competence of high school teachers to conduct electronic remote testing.
POTENTIAL HYDROLOGI FOR IRRIGATION LOCATIONCANDIDATE LOCATION OF PADDY FIELD IN EAST BARITO DISTRICT OF CENTRAL KALIMANTAN

This district of Katigan is a small part of the entire area and land surveys for the purposes of paddy field printing of the Central Kalimantan Provincial Agriculture Office. This activity aims to find the feasibility of irrigation potential that will flow through the paddy fields that have been in clean and clear condition in terms of the area, included in the category of decent land for rice crops, and the existence of adequate water sources to flow the rice fields. The water requirement for plants is basically obtainable directly from the rain water, the rainfall each season will not be the same. Therefore, we need a way to manage water with a need to manage water optimally, one of them is the use of irrigation system. The planned irrigation system for the Katingan irrigation area and its surroundings is a gravity irrigation system. The irrigation network used is a technical irrigation network. The total irrigation area is 352,6 Ha. The planned plot is 3 plots with the area of each plot between 3,6 ha to 99,9 Ha. The water requirement per hectare before adjusting to the efficiency of each channel is planned to be 1.2 ltr/s/ ha.
Studying the Relation BetweenChange- and Fault-proneness : Are Change-prone Classes MoreFault-prone, and Vice-versa?

Software is the heartbeat of modern technology. To keep up with the new demands and expansion of requirements, changes are constantly introduced to the software, i.e., changes can also be made to f ...
Design and Research on Teaching System of Computer Specialty in Higher Vocational Colleges Based on Big Data Analysis

With the rapid development of social economy, science and technology has also been improved, the Internet has now been fully popularized, and people have officially entered the era of big data. With the development of information globalization, the development of education globalization is also gradually popularized. The computer major in higher vocational colleges has become the focus of education reform. Only by ensuring that the educational content keeps pace with the times, can we cultivate more computer people who meet the modern needs. According to the relevant content, this paper studies the meaning of big data and the necessity of teaching reform of computer major in contemporary higher vocational colleges, and also expounds the corresponding reform strategies of computer professional teaching in Higher Vocational Colleges under the background of this era.
PayPal investment in digital ID startup shows versatility of blockchain

PayPal is the latest financial services firm to jump on the blockchain train. The company recently made its first investment in blockchain by joining ...
AN ACADEMIC LIBRARY OR A LEARNING AND RESEARCH RESOURCES CENTRE (CRAI)? A COMPREHENSIVE APPROACH TO THE LIBRARY AS THE CENTRAL ELEMENT OF THE UNIVERSITY STRUCTURE IN POLAND AND SPAIN

Thesis/Objective – The article aims to present and compares four libraries: The Academic Library of Pope John II State School of Higher Education in Biała Podlaska (PSW), the Autonomous University of Barcelona (UAB) Library Service, the CRAI of Pompeu Fabra University and the CRAI of Rovira i Virgili University in Tarragona. Research method – The comparison is based on statis tical data from the Academic Library of PSW and data collected during Polish librarians’ educational visit in three abovementioned Catalan libraries. This comparison accounts for many aspects, such as infrastructure, user visits, the size of collections, expenditures, number of library training programs, circulation, and research output of the university staff . Result/Conclusions – Although analyzed libraries diff er in size, organizational structure and user population, all of them increase their collections, off er similar services and document the research output of their employees which is an increasingly important library activity
Disentangled Image Generation for Unsupervised Domain Adaptation

We explore the use of generative modeling in unsupervised domain adaptation (UDA), where annotated real images are only available in the source domain, and pseudo images are generated in a manner that allows independent control of class (content) and nuisance variability (style). The proposed method differs from existing generative UDA models in that we explicitly disentangle the content and nuisance features at different layers of the generator network. We demonstrate the effectiveness of (pseudo)-conditional generation by showing that it improves upon baseline methods. Moreover, we outperform the previous state-of-the-art with significant margins in recently introduced multi-source domain adaptation (MSDA) tasks, achieving significant error reduction rates of $$50.27 \%$$ , $$89.54 \%$$ , $$75.35 \%$$ , $$27.46 \%$$ and $$94.3 \%$$ in all 5 tasks.
The Impact of Corporate Reputation on Organizational Performance

The empirical study is carried out in Enterprises. The data was collected using aquestionnaire distributed among 100 of the employees. The questionnaire is intended tomeasure the banks perceived credibility on building and developing the business correlationswith the clientele. Regarding the hypothesis’s validation, Multiple Regression Linear statisticswere performed using the SPSS software. The research findings revealed a direct interrelationbetween the independent variables (reputation, image, and culture) and the dependentvariable. The higher the organizations importance is, the better its performance.