Reviewerly/exHarmony huggingface dataset:
UTILIZATION OF POSTERS ON SOCIAL MEDIA IN DESCRIBING THE HISTORY OF THE BATTLE OF AMBARAWA

History learning in schools is only given by teachers through textbooks, delivered by lecture methods which will eventually be memorized by students or forced to be 'memorized'. This method in history lessons makes students complain and think that history lessons in school are just formalities and very boring. On one side of the poster is one of the media that is familiar with everyday life. Although it has been widely used in various fields, its use in learning, especially history is still lacking. An innovative poster design can motivate students to learn history, especially in strengthening the historical understanding of the Battle of Ambarawa. This article uses descriptive qualitative research methods, showing the method of making posters and historical material for the Battle of Ambarawa. The results of this study have been proven in historical media learnin3g in the history education of Sanata Dharma University, that each student can use the poster creation application and can spread through social media. It is hoped that students' friends as prospective history educators and history teachers will always want to learn in developing historical learning media to motivate students to develop a sense of love for their homeland. DOI : doi.org/10.24071/snfkip.2018.27
Visualizing new media: Image bank keywords corpus

Description: A structured corpus of 73,288 keywords (101,493 words) from image banks on the subject “social media”, top-sliced from two major image banks (Alamy and Getty Images)
Psychological Analysis of Li JiaQi's Live-Streaming Consumers During the Spring Festival under the Epidemic

The current pandemic has largely changed the world across all sectors of the society.In this paper, we shall specifically look into the effect Covid-19 has had on Chinese social and commercial sector over the time of its existence.Things that normally occurred physically, have taken a toll and nowadays occur virtually thanks to the presence of web connections and streaming platforms.Precisely, our focus in this case is on the Chinese spring festivals and the impact coronavirus has had on the attendance and normal activities.Firstly, physical meetings to celebrate the festivals were entirely done away with by the Chinese government meaning people had to change and their modes of attendance.With this, the festivals generally took place virtually such that online streaming of events surged.The number of virtual attendees in hand with the demand for streaming services therefore grew tremendously and such developments has a number of implications.For example, revenue earned by the corporations that offer streaming services generally increased and for celebrities that took part in the festivals in terms of performance had their income secured.Therefore, COVID-19 largely affected a number of social activities in China for example shifting to online sales and purchases alters consumer culture but still, there are a number of positive developments
Sentiment Analysis of Restaurant Reviews in Social Media using Naïve Bayes

There are currently huge reviews that have increased every day of customer actions in online media, such as Twitter about the restaurant industry, which needs more focus for customers by constantly enhancing customer service. Satisfaction of the customer is a gateway to customer service. Sentiment analysis is a way of defining negative or positive opinions when classifying documents. It was almost impossible to evaluate the data of reviews in social media manually. There are various data mining algorithms used for evaluating and analysis.  This paper analyzes the sentiment of users' tweets on the subjects of restaurants by using the sentiment classification algorithms of Naive Bayes (NB). The system suggested is capable of performing sentiments analysis of tweets. For this reason, a sample of real data was collected from Twitter for customer reviews. A python programming language has been used for implementing the proposed system. The results are similar to the fact that customers are highly positive about restaurants and people, primarily people who are positive about restaurants. The results are measured using common measures for performance assessment, including precision, recall, accuracy and error rate. They were obtained as 68%, 80.07%, 73% and 27% respectively.
Comparing Website Implementation Between Cloud Services and Conventional Hosting Methods

This dissertation report is written for the comparison of website implementation between cloud services and conventional hosting through the means of a case study of data centered web application for process safety information plant. In this digital age, a website is an essential tool for interaction, communication and visualization for businesses, organizations and individuals. Thus, new ideas and methods regarding the development and implementation of websites are continuously being churned out. One of the new developments in this field is cloud services. Therefore, decision makers and software developers have an alternative option in terms of website development and implementation besides the more conventional hosting method. This project has been conducted to compare both these methods and come up with a comparison for key individuals to go about choosing between cloud services and conventional hosting. To complete this project, two phases of methodology have been used, which are preliminary studies and prototype development. To conduct the preliminary studies, literature review of the project and surveys were completed. For the system development on the other hand, iterative methodology was done in two phases. These phases acted as guidelines to complete the work on developing the prototypes through cloud services and conventional methods. At the end of this project development, it is hoped that key decision makers and website developers will have a clear view and a comparison reference to refer when choosing between cloud services and conventional methods to develop and implement a website.
Learning Temporal Dynamics from Cycles in Narrated Video

Learning to model how the world changes as time elapses has proven a challenging problem for the computer vision community. We propose a self-supervised solution to this problem using temporal cycle consistency jointly in vision and language, training on narrated video. Our model learns modality-agnostic functions to predict forward and backward in time, which must undo each other when composed. This constraint leads to the discovery of high-level transitions between moments in time, since such transitions are easily inverted and shared across modalities. We justify the design of our model with an ablation study on different configurations of the cycle consistency problem. We then show qualitatively and quantitatively that our approach yields a meaningful, high-level model of the future and past. We apply the learned dynamics model without further training to various tasks, such as predicting future action and temporally ordering sets of images. Project page: https://dave.ml/mmcc
3D MEDIA IN LEARNING HISTORY AS A MEANS TO BUILD STUDENT CHARACTER

This article aims to reveal the method of using 3D media in digital history learning as an effort to instill student character. The teacher is able to teach history to students through 3D media that is easily obtained through digital applications papercraft. Of course the media can involve students to learn more about history. This article uses qualitative descriptive research methods. The results of the study show that history learning using 3D media can improve students' ability in learning history and become a medium to instill good character for students. This article has been carried out by students in the history learning and media courses, in the history education study program, Sanata Dharma University. The hope is that historical educators can use digital media and they cannot find lessons in teaching and learning activities in schools. In addition, students can understand characters that are in accordance with national identity. DOI : doi.org/10.24071/snfkip.2018.12
Recreating the Humans through Artificial Intelligence for the Sake of the Society and the Business: Design of a Conceptual Model

Concept: Probably the only perpetual ‘Truth’ in this world is ‘Death’. Yes, of course. But, if one could overcome the situation at least for a while (say, some point of time), or a for a few years, or for one’s own people - may be for one’s family members or for one’s business people (say, partners or employees), or for the one’s whole company or even the Government, then that would be the most valuable asset that the person can offer as a gift to the whole world. Now, let us consider how to create, or in better terms, how to ‘recreate’ such a precious asset. The thoughts of important personalities are vitally important for the entire world. In this research paper, the researchers are trying to explore such an opportunity through the possibilities offered by Artificial Intelligence (AI) and Cosmic Energy (CE).Research Goal: To design means to recreate humans through AI and CE.Method: The formulas developed to execute the mission, along with the related explanations have been given. Attempts have been made to convey the fruit of the study in a simple manner. The processes and steps discussed in the paper could be helpful for those working in diverse fields, like, those in health departments and strategic planning divisions, or those employed as business analysts or physiologists, or the like.Kind of Research: Exploratory.Utility: It is hoped that the stakeholders can utilize the knowledge as a sustainable development model and it may enrich the people through better healthcare facilities and the most important outcome is to recreate human beings and their decisions at affordable and scientific manner to help organizations in various strategic decisions.
Library and Academic Services: Streaming Videos Resources Guide: Streaming Databases

This guide contains links to RRC Library's Streaming Video databases as well as curated collections for special topic areas; You will also find here a curated collection of links to popular free external video collections such as TED Talks, YouTube Chan
DI Library: ID V: Institutional Design (ID 380): Case Studies

DI Library's guide to books, websites, and other resources for students in ID V DI Library's recommendations on where to find case studies for ID V.
Analisis Deiksis Dialek Kulisusu Masyarakat Desa Rante Gola Kecamatan Bonegunu Kabupaten Buton Utara

This study aims to find out whether the sort card media can improve speaking skills in learning to tell the experience of students of class X-3 of SMAN 2 Lasalimu Selatan. This research was compiled based on the Classroom Action Research (CAR) design which was divided into two cycles with four stages per cycle, namely planning, action, observation and reflection. The first cycle was held from 9 to 14 January 2017. The second cycle was held on January 16 to 21 2017 in class X-2 of SMAN 2 Lasalimu Selatan. The results of the study show that the use of sort card media increases speaking skills in learning to tell the experience of X-3 grade students of SMAN 2 Lasalimu Selatan. This increase is indicated by the acquisition of success percentage of 67.44% in the first cycle and increased by 5.36% in the second cycle to reach the success percentage of 76.33%
The Regulation and Use of Artificial Intelligence and 5G Technology to Combat Cybercrime and Financial Crime in South African Banks

Artificial intelligence (AI) and fifth generation network technology (5G) are now being utilised by some companies and financial institutions such as banks to enhance their competitiveness and expand their businesses. The general types of AI include functional AI, interactive AI, text AI, visual AI and analytic AI. The key components of AI include machine learning, fast Internet connectivity, deep learning, neural networks and advanced data analysis. These components may be complemented by the adoption and use of standard 5G cellular networks. 5G utilises broadband Internet access and Internet connection, and is now employed by some banking institutions, especially in developed countries. It is not clear whether South African banking institutions have adopted 5G for their Internet connectivity and operations. AI and 5G may be used to detect and combat cybercrimes in banking institutions. On the other hand, AI and 5G may also be abused by cybercriminals to commit financial crimes such as money laundering and insider trading. In this regard it is submitted that South African policy makers should carefully revise the Cybercrimes Bill B6-2017 (Cybercrimes Bill) to embrace the use of AI and 5G to detect and combat cybercrimes in South African banks. Accordingly, this article examines the adequacy of the Cybercrimes Bill. It also explores the regulation and use of 5G and AI to detect, prevent and combat cybercrimes in banks and other financial institutions in South Africa.
LibGuides: Doing Research with Primary Sources: Visiting the Archives

This LibGuide provides information about preparing for and conducting research using a variety of primary source types.
An Analysis of Supporting Arguments on Student’s Critical Writing(Qualitative descriptive analysis At English Education Department UIN Sultan Maulana Hasanuddin Banten)

Fazirotul Wafiya, SRN: 161230183, “An Analysis of Supporting Arguments on Student’s Critical Writing(Qualitative descriptive analysis At English Education Department UIN Sultan Maulana Hasanuddin Banten)”.This research was aimed 1) to know the students ability in writing supporting argument on critical writing 2) to find out how the student develop their ability in writing supporting argument on critical writing. The researcher took 20 students from the 8th semester at English Education Department UIN Sultan Maulana Hasanuddin Banten. The research applied descriptive qualitative method. The Data collection technique used in this study is by document test and Interview to student at English Education Department of UIN SMH Banten. From the analyzed, the writer concluded that the student had applied the critical writing criteria correctly because 20 participants in this research introduced their original idea also had analyzed the original argument from various cited sources and they know how to develop their critical writing skill well.
An Alternative to Data Ownership: Managing Access to Non-Personal Data through the Commons

In today’s algorithmic society, access to large-scale datasets is the sine qua non for any economic actor to reap the benefits of data-driven innovation (DDI). This article explores alternative mechanisms of data management in large-scale processing environments which can bolster access in view of the shortcomings of the existing data ownership-centric system. The scope of the analysis is limited to non-personal data. First, this contribution elaborates on the features and shortcomings of the data ownership-centric system and the existing legislation on data access. In fact, despite its ground-breaking potential, data access is not a widely available resource. It is subject, meanwhile, to the ability of several actors to control it, originating from data holders’ position of de facto control over data (“data ownership”), which is mostly anchored in technological, behavioural, and legal access barriers. This ownership-oriented setting thus stifles data sharing and opportunities for novel reuses of data. Despite these concerns, EU secondary legislation and case law (including the “essential facilities doctrine” of competition law) have not yet offered appropriate means to enable data access across society. Second, this article investigates whether alternative systems of data management based on the commons is a viable solution to open up access to raw non-personal data (RNPD). The commons as a conceptual notion and institutional mechanism values access and freedom to operate, instead of power to appropriate. The article homes in on two main reasons which substantiate why commons management of RNPD can be desirable. On the one hand, RNPD can be deemed a cooperative infrastructural resource that calls for being pulled out of its factual enclosure (“structuralist approach” of the commons). On the other hand, grasping RNPD as a commons means valuing its functional nature, making data available to a wide number of actors for the fulfilment of fundamental rights and enhancing human flourishing (“functionalist approach”). The article concludes with some thoughts on the lines of research which are still to be explored to put the commons-based vision of data management into practice.
A quantum state readout method based on a single ancilla qubit

Quantum state measurement is essential for reading-out a quantum computing outcome. Meanwhile, the readout results are always affected by the large noise of quantum measurements in physical implementation, which also hinders the large-scale expansion of quantum computing. In light of this, we present an indirect quantum state readout method based on a single ancilla qubit that can avoid the large noise of multiple-qubit measurements. The theoretical analysis and simulations indicate that our method is more robust against the measurement noise and promises to become a method of large-scale quantum error correction and high-fidelity quantum state readout.
Innovation In the Development of Taman Baca Masyarakat (Community Reading Center) In Increasing Reading Literacy

This research is motivated by the problem of data from: a). According to UNESCO, there are at least 750 million adults and 264 million out of school children who lack basic literacy skills. According to statistics from UNESCO, out of a total of 61 countries, Indonesia is ranked 60th with a low literacy level; b). According to the Central Statistics Agency of Indonesia in 2003 which can be used as an illustration of the interest in reading of Indonesia, the data illustrates that only 55.11% of the Indonesian population aged over 15 years who reads newspapers on Sundays. When it viewed from gender differences, it appears that women have a higher illiteracy rate than men; it is 1,157,703 men, and 2,258,990 women. The research methodology is descriptive method, qualitative approach, and Purposive Sampling. The results of this study indicate that using analysis SWOT as follows: 1. Strength: getting support from husband, family; 2. Weaknesses: lack of well-maintained collection of books; 3. Opportunities: utilizing increasingly sophisticated technology, can create a generation of people to write and make books starting from a hobby of reading books; 4. Threats: there are no definite rules for visiting to read books, lack of volunteers or inexperienced officers.&amp;nbsp;
Adapting mathematical observer models for dermoscopy : a study

Purpose – Explore the possible use of mathematical observer models in dermoscopy.Methods – Mathematical Observers (MOs) have been used extensively in a Virtual Clinical Trial context as surrogates for human observers. They have commonly been used for radiology imaging to model lesion detection tasks, for e.g. in mammography and lung cancer screening. Increasingly reliable MOs have been researched that account for limitations of the human visual system (contrast sensitivity function and dynamic adaptation of the eye) as well as complex lesion characteristics and shapes (spiculations).State-of-the-art MOs, commonly used for radiology, have been applied to dermoscopy images and their usefulness and limitations explored. Results – Applying existing MO models, such as channelized hotelling observers, to dermoscopy is not straightforward and does not provide reliable results. Compared to radiology, dermoscopy images are color images so lesions are characterized by changes in color as opposed to intensity (as is the case for most state-of-the-art MO models). Little research has been performed on color MO models. In addition, skin lesions are complex and contain a wide range of features (e.g. globules, white veil, etc). An approach where a MO is trained to detect a single feature is not feasible.Instead, a novel architecture for a layered observer model is proposed, which contains a set of observer models, each targeting a feature/set of features. The individual observer outputs are then combined into an overall observer output. This can be applied to dermoscopy where human observer decisions are typically not based on the presence of individual lesion features, but rather by looking at overall lesion characteristics and presence or absence of groups of features. Conclusion – In this work we outline prior MO model work and explore usefulness and limitations for use in dermoscopy imaging, while exploring adaptations for making MOs better suitable for use in dermoscopy imaging.
Resolution improvement and blur removal of light field data converted from hologram using deep learning

We propose a method to suppress blurring and improve spatial resolution of light field data using deep learning. The proposed method enhances the quality of the light field data extracted from a hologram, generating all-in-focus views over large depth range of the three-dimensional scene.
Finding Relevant Points for Nearest-Neighbor Classification

Previous chapter Next chapter Full AccessProceedings Symposium on Simplicity in Algorithms (SOSA)Finding Relevant Points for Nearest-Neighbor ClassificationDavid EppsteinDavid Eppsteinpp.68 - 78Chapter DOI:https://doi.org/10.1137/1.9781611977066.6PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstract In nearest-neighbor classification problems, a set of d-dimensional training points are given, each with a known classification, and are used to infer unknown classifications of other points by using the same classification as the nearest training point. A training point is relevant if its omission from the training set would change the outcome of some of these inferences. We provide a simple algorithm for thinning a training set down to its subset of relevant points, using as subroutines algorithms for finding the minimum spanning tree of a set of points and for finding the extreme points (convex hull vertices) of a set of points. The time bounds for our algorithm, in any constant dimension d ≥ 3, improve on a previous algorithm for the same problem by Clarkson (FOCS 1994). Previous chapter Next chapter RelatedDetails Published:2022eISBN:978-1-61197-706-6 https://doi.org/10.1137/1.9781611977066Book Series Name:ProceedingsBook Code:SOSA22Book Pages:v + 320