Reviewerly/exHarmony huggingface dataset:
Applied Research on Cinema 4d Production of Holographic Projection Art

Holographic projection art, as the most advanced comprehensive digital media art, still occupies a high level of research position in the field of digital technology and CG art, whether in domestic or international art research. The aim of this paper is to explore the scientific application of CINEMA 4D three-dimensional visual effects in the production of holographic projection works. It is hoped that this research can achieve breakthrough progress in the field of holographic projection image art, especially in the aspect of visual representation, Because this art form is the most unique cutting-edge technology in digital art, the interdisciplinary and cross-domain application of art science is the epitome of modern CG art, and has a wide range of applications. And has very good exploitable and researchable. Further research in this field is of great practical significance, especially in holographic projection and the innovation and development of scientific research in the field of related ACG art. This paper can play a role as a theoretical cornerstone.
Penerapan Data Mining Menggunakan Task Market Basket Analysis Pada Transaksi Penjualan Barang di Ab Mart dengan Algoritma Apriori

Data Mining is the process of extracting information or something interesting from the data in the database so as to produce valuable information using techniques such as clustering, estimation, description, and others. Based on observations at AB Mart, there were 44 product items whose data was not revealed. This problem will be solved using data mining analysis. The purpose of this research is to apply market basket analysis to the sale of goods at AB Mart with the a priori algorithm. This research uses a clear structure of the framework, namely problem identification, literature study, data collection, calculation &amp; analysis of association rules with a priori algorithm, forming association rules and making reports. The results of the sales transaction of AB Mart in August resulted in or generated relationships between shopping product items where the% purchase of Pepsodent was 115%, Frisian Flag 96%, Sugar 96%, Indomilk 93%, and Nasi Jempol 91%. The conclusion of this research is using Weka software with a priori algorithm which produces an association relationship between pepsodent goods and the number of transactions purchased
Identity, location and query privacy for smart devices

In this thesis, we have discussed three important aspects of users' privacy namely, location privacy, identity privacy and query privacy. The information related to identity, location and query is very sensitive as it can reveal behavior patterns, interests, preferences and habits of the users. We have proposed several techniques in the thesis on how to better protect the identity, location and query privacy.
Case Studies

The last decade has seen the emergence of cyberthreat and cybercrime against health care. Notable attacks have been driven by activists, cyber criminals and those seeking to sow chaos and fear. In this chapter the WannaCry cyberattack, the attack on Boston Children’s Hospital in 2014, and the recent wave of ransomware attacks against health care are detailed as case studies and opportunities for learning. Despite these and similar events, health care has yet to fully recognize and properly address cyberthreat; therefore, patients and providers remain at risk. Cybersecurity must come out of the basement information technology (IT) offices and into the boardroom as an essential organizational priority if health care wishes to continue to digitize its offerings.
Implementation of Sistem Administrasi Keuangan Sekolah for Junior High Schools, Senior High Schools and Vocational Schools in Bogor PESAT Schools (Si-AKSES)

In educational institutions, one of the resources that need to be managed properly is school financial resources. However, there are still many schools that have not managed their financial resources optimally, one of which is in the student financial administration process which is still done manually, namely by recording with books or recording with spreadsheet software. This has the risk of data being damaged, data lost, difficult to evaluate and monitoring, and less effective in student financial administration services. The same is the case with PESAT Bogor school, where schools still use spreadsheet software in financial administration. So in this study, the implementation of an integrated financial administration system at SMP, SMA, and SMK PESAT is integrated (Si-AKSES) in order to create optimal school governance, especially in the financial administration process. The software development uses the waterfall method which is implemented with the MySQL database, the PHP programming language and the CodeIgniter framework. With the existence of Si-AKSES, it can facilitate PESAT schools in providing services to students who want to make school financial payments, recording student transactions from the start of entry to graduation, controlling student arrears, reporting processes, and so that school finances are more controllable and transparent.
Android interactive word game in mother tongue for early childhood learners

As ownership of mobile devices increases, the trend in the use of information and communications technology (ICT) in education also advances. In line with the mandate of the department of education to develop interactive strategies, this study aimed to design, develop, and evaluate an android interactive word game in Mother Tongue on the level of acceptability of the system based on content, instructional quality, technical quality, presentation and organization, and accuracy and up-to-dateness to address the gap for interactive mobile learning. This study used developmental and quasi-experimental research. The first phase of the study used developmental research to design, develop, and evaluate the acceptability of the android word game. The second phase of the study used quasi-experimental to evaluate the effectiveness of the developed android word game on the pupils' academic performance in mother tongue. The evaluation of the information technology (IT) experts resulted to a very acceptable rating for the android interactive word game, which was observed to be effective based on the higher post-test mean score or higher mean score of the pupils in the spelling skills after their exposure to the android interactive word game.
Real Time Composition &amp; Recording Ensemble

The jazz/rock/pop programme at the Dresden College of Music developed into a multifaceted educational complex during the GDR era, despite reservations by cultural politicians, and gained international recognition after the fall of the Berlin Wall. Contemporary witnesses, current teachers and graduates report in 25 essays on their work, experiences, individual views and the interaction between artistic practice and pedagogical activity. This richly illustrated volume provides unique insights into the structure and goals of this field of study in all its breadth, from the children's class and the cooperation with the Saxon State Grammar School for Music to the Bachelor's, Master's and graduate programmes.
The Development of A Mobile Application Prototype Tour Taman Mini Indonesia Indah

The development of information technology has a direct impact on the improvement of the mobile phone industry, resulting in increased production and use of smartphones as a medium of information exchange. This development also creates an evolution in the world of mobile services. Android is one of the operating systems on mobile phones that provides an open platform for developers to build applications on various mobile devices. This research aims to build an Android-based mobile application that provides information on tourist attractions in Taman Mini Indonesia Indah. in real time and apply location-based services to the application. This TMII travel guide mobile application was created using Android Studio as an Integrated Development Environment (IDE), Google Maps API, and SQLite and MySql. The programming languages used are java, xml, sql, and php. The research method used is the SDLC (Software Development Life Cycle) approach with the Rapid Application Development (RAD) model.
Dataset for "Chiral nanosurfaces for enhancement of local electromagnetic field"

This dataset contains the results of calculations of electric fields and optical chirality 1 nm above the surface of an array of gold nanobars with varying length. The data support the publication Chiral nanosurfaces for enhancement of local electromagnetic field.
Validation of Block chain Application

The greatest hindrance to electronic relocations of numerous systems is the need to ensure the subtleties and to check the character of clients. Right now, the utilization of double factor confirmation depends at times on a secret word. The issue with these methodologies is that passwords are very uncertain and confirmation by two factors normally includes the sending of code by means of SMS or an outsider supplier. The blockchain may be an answer for this issue. A 50 billion dollar cash is overseen by blockchain. In any case, verification could be dependent upon the equivalent cryptographic standards. Along these lines, blockchain verification dispenses with somebody from malignantly altering the record when they disperse a record to all system individuals. A greater part of the system will check its legitimacy whenever a square of information is connected to a chain. That ensures the fulfillment of the record. You would then be able to make a point to send passwords securely utilizing open key encryption, for example, profoundly ensured RSA encryption. The recipient could then scan for a section in the unaltered blockchain, which would bring about a strikingly sheltered and dependable method for dealing with character check. These standards apply for the change into a steady, quick, solid, and promptly accessible assistance from the political decision process, state identifiers to double factor confirmation.
日本語の授業に＜うた＞を取り入れた活動の試み

This paper is a report of an attempt to incorporate the three activities of poetry, haiku, senryu, and song into Japanese grammar class. We considered the contents and methods of cultural education that overcome the differences in the level of Japanese proficiency of Korean learners of Japanese, promote understanding necessary for learning Japanese, deepen their interest, and motivate them to learn.As a result, the activity of becomes practice of listening comprehension and composition by listening, translating and creating, and it also leads to memorizing words and kanji by examining various words, and it was an opinion that I could learn the emotions peculiar to Japan. In addition, there were overwhelmingly many opinions that the grammatical expressions learned during class could be reconfirmed through Japanese lyrics, and that songs with rhythm rather than general sentences were easier to remember and useful for vocabulary learning. In particular, everyone was interested in the classic traditional activities. Therefore, it was found that lessons that incorporate activities into the language are effective in terms of language learning, cultural learning, and in the process of regaining motivation for learners who have lost motivation to study Japanese language.
LibGuides: EGL 101 - David Jakalski - Fall 2021: Evaluating Sources

This libguide assists students in Prof. Jakalski's EGL 101 class, familiarizing them with the library's resources and offering MLA 8 citation information and supports.
IMPLEMENTATION OF QUANTITATION TECHNIQUES TO PERFORM RGB IMAGE COMPRESSION

the use of RGB images is a necessity in various fields. However, its use is constrained by the large file capacity, but it is possible to compress the images that are owned as needed. With the quantization method, the R matrix, G matrix and B matrix will be reduced in level, so that the number of bits used to represent the image is reduced. Because the number of bits is reduced, the file size becomes smaller. The quantization method is included in the Lossy Compression category, so that the compressed image cannot be decompressed again because there is missing information. Image compression is an image compression process that aims to reduce duplication of data in the image so that less memory is used to represent the image than the original image representation. There are factors why the image compression process is very appropriate so that there is no significant correlation between pixels and neighboring pixels
On Development and Evaluation of Retargeting Human Motion and Appearance in Monocular Videos.

Transferring human motion and appearance between videos of human actorsremains one of the key challenges in Computer Vision. Despite the advances fromrecent image-to-image translation approaches, there are several transferringcontexts where most end-to-end learning-based retargeting methods still performpoorly. Transferring human appearance from one actor to another is only ensuredwhen a strict setup has been complied, which is generally built consideringtheir training regime's specificities. The contribution of this paper istwo-fold: first, we propose a novel and high-performant approach based on ahybrid image-based rendering technique that exhibits competitive visualretargeting quality compared to state-of-the-art neural rendering approaches.The formulation leverages user body shape into the retargeting whileconsidering physical constraints of the motion in 3D and the 2D image domain.We also present a new video retargeting benchmark dataset composed of differentvideos with annotated human motions to evaluate the task of synthesizingpeople's videos, which can be used as a common base to improve tracking theprogress in the field. The dataset and its evaluation protocols are designed toevaluate retargeting methods in more general and challenging conditions. Ourmethod is validated in several experiments, comprising publicly availablevideos of actors with different shapes, motion types and camera setups. Thedataset and retargeting code are publicly available to the community at:https://www.verlab.dcc.ufmg.br/retargeting-motion.
The Use of Computer Technologies in the Professional Training of Bachelors of Arts in the Context of Distance Learning

In the context of a pandemic and the introduction of quarantine measures, the issue of proper organisation of the educational process without interfering with the curriculum becomes especially relevant. Distance is a way to solve this problem, but for this type of to be effective, it is necessary to understand what digital technologies will help to master the educational programme. Therefore, the purpose of the study was to identify which of the modern digital technologies are the most effective for learning, and based on the analysis to develop a model of online training for bachelors of arts. The study applied an analysis, which helped to evaluate modern digital technologies in terms of efficiency for use in learning, and modelling, which helped to create an optimal model in terms of learning. The analysis considered the concept of distance learning and the system of its implementation in the educational process. Six main stages that will ensure a rapid and effective transition to were identified, which almost all educational institutions in Ukraine had to face. It was found that the provision of digital technologies and the necessary technical equipment is one of the most pressing issues of the modern education system. The analysis of online resources has shown that at the present time the mastering of the curriculum of art specialities is significantly complicated by the transition to and a number of shortcomings. The practical significance of the study is that the developed model of online is ready for implementation, and the recommendations can be used when developing an educational programme for learning.
InfoGuides: Business Research Toolkit: Research Basics for BUSN 103

Modeled on the University of Alabama at Birgmingham, Sterne Library's award winning Business Research Toolkit Program, GMU's version is now self-paced and asynchronous. The hands-on program introduces participants to business resources and research.
Optimering av lokalt elnät i Falkenberg genom data mining

This paper investigates the potential of mathematical algorithms, based on the principles of data mining, applied to data from a local power grid to identify customers with large fluctuations in th ...
Online Detection of Child Grooming Conversation

Abstract- The extensive spread proliferation of social media has unlocked up possibilities for criminals to direct the crime of online child grooming. Because of the pervasiveness of the problem scale, it can only be nominated effectively and efficiently using an automatically negotiated conversation recognition system. Previously, Gunawan, Soivito and Pranotto, [1] developed a logistic model for this purpose and the model was able to achieve 95% detection accuracy. The present study intends to solve the problem using the support vector machine and the k-nearest neighbor classifier. In addition, the study also proposes a low computational cost classification method based on the number of negotiation characteristics of the current grooming. All proposed methods are evaluated using 130 conversational texts, out of which 95 texts are prepared and 45 texts are not prepared. We recognize that there are 15 features in grooming interactions. The results suggest that SVM and K-NN are able to identify interactions at 97.6% and 96.8% of the level of accuracy. Meanwhile, the proposed simplex method has 96.8% accuracy. Empirical studies also show that between two seventeen features are unimportant for classification.
SnapShare: AI Trained Mobile App to Share Snaps Automatically

These days people take more than 1 million group or selfie photos per day. This goes very hectic for a mobile owner to identify photos of each individual and send them their photos separately. Sharing photos create extra burden for mobile owners. There are fewer applications available (i.e., 23Snaps, Cluster, Path, letmesee) to share photos with small circle of friends. Unfortunately, these developed apps require user’s interaction to identify individuals in the photo. This study proposes a SnapShare mobile application that uses Face Recognition Algorithms to classify individuals in the photos and automatically shares photos with recognized individuals. SnapShare basically uses Deep learning (DL) and Machine Learning (ML) techniques for Face Recognition from the captured images. Based on the results, the developed system achieves the standard performance accuracy (i.e., >90%). The aim of the SnapShare is to create comfort for mobile owners and people visible in-group photo to share and access photo automatically. Furthermore, SnapShare also facilitates user to back up their photo gallery on server storage.
Efficient Phishing Website Detection using Machine Learning Algorithm

Phishing is defined because the artwork of echoing a internet site of a creditable company proceeding to seize user's private facts along with usernames, passwords and social safety number. Phishing web sites contain loads of cues inside its content-elements in addition to the browser-primarily based totally safety signs supplied alongside the internet site. Several answers had been proposed to address phishing. Nevertheless, there may be no specific magic bullet which can clear up this danger radically. Machine Learning is efficient approach to come across phishing. It additionally eliminates disadvantage of current approach. The proposed technique predicts the URL primarily based totally phishing assaults primarily based totally on functions and additionally offers most accuracy. This technique makes use of uniform resource locator (URL) functions. We recognized functions that phishing web website online URLs contain. The proposed technique employs the ones functions for phishing detection. The proposed machine predicts the URL primarily based totally phishing assaults with most accuracy. Random forest algorithm is used for efficient and accurate classification of phishing web sites and achieves higher end result as compared to current methods.
LibGuides: Streaming Video Resources at the RLB Library: Freely Available Streaming Video

This guide presents information on streaming video licensed by the RLB Library or freely available on some internet sites.
Ascoltare e interpretare il portoghese con Audacity

During and after the period of training in interpretation, Italian-speaking students face difficulties in listening and understanding the original text. In fact, the phonic continuum is always realized in a different way and depends not only on the speakers and the dimensions of the variation at diatopic, diastratic, diaphasic level, but also on a series of phenomena linked to the hypoarticulated speech of those who communicate with naturalness and spontaneity in their L1. For a native Italian speaker that is formed in interpretation from Portuguese into Italian, there are several phenomena that can make the perception, the recognition of segments of speech (vowel reduction, internal and external sandhi and others) and thus the reformulation into Italian very difficult. In this communication the use of Audacity software will be proposed to reflect on some aspects and overcome the relative difficulties of comprehension. In particular, we will highlight how, through the Audacity program, a trace of the original text can be retraced by isolating certain segments and specific passages, changing the speed of speech, so as to become more familiar with the spoken language and improve bottom-up understanding processes, obviously in relation to the ability of exploiting the context, previous knowledge and in general the top-down processes.
THE USE OF COMIC BOOK TO IMPROE ENGLISH VOCABULARY MASTERYAT THE TENTH GRADE OF MA ABU DARRIN BOJONEGOROIN THE ACADEMIC YEAR OF 2019/2020

ABSTRACTRiyanto Saputra, Fajar, 2020. Use Of Comic Book To Improve English Vocabulary Mastery At Tenth Grade Of Ma Abu Darrin Bojonegoro In Academic Year Of 2019/2020. Thesis. English Departement the First Advisor: Meiga Ratih Tirtanawati, S.Pd., M.Pd., and the Second Advisor: Yuniarta Ita Purnama, S.Pd, M.Pd.The purpose of this study was to to identify whether comics books can be used to improve students English vocabulary and To describe the class situation when comics books are implemented in the class.The study was conducted at MAS Abu Darrin Bojonegoro in May in the academic year 2019/2020. object for this study was tenth-grade students at MAS Abu Darrin Bojonegoro. researcher analyzed the data by using a classroom action research design. instruments for collecting the author's data are Pretest and Post-test.The results of this study reinforce the results of research conducted by Fajar Riyanto Saputra, in his thesis entitled The use of comic book to improve vocabulary mastery at the tenth grade of ma abu darrin bojonegoro in the academic of 2019/2020, written in 2020. research proves that learning outcomes obtained by students who learn by using comic media are better than students who study not using comic media.The average student achievement in the pretest of 61,14 increased to 76,57 in cycle I. Whereas students who achieved KKM in the pretest of 28,57% increased to 50% in cycle I. acquisition of the average results of students in the first cycle of 76,57 increased to 90,28 in the second cycle. And students who achieve KKM in the first cycle by 50% increased to 100% in the second cycle.Keywords: Comic Books, Improve, Vocabulary