Reviewerly/exHarmony huggingface dataset:
Pensamiento histórico, problemas sociales y cultura digital en la enseñanza de la historia

In this work we present a case study carried out with two groups of students -a 4th. and a 5th. year- of public schools of the secondary level in the province of Neuquen, in the Argentine North-Patagonia. We have approached a relevant and burning social problem to identify to what extent it contributes to the development of historical thought or, in other words, if the student body thinks historically about social problems. The results indicate that although it is important to take into account temporary operators such as change and continuity, in a way that allows their historical understanding, with the use of sources of information or necessary evidence, Social Representations play a role of It is of great importance that if they are not addressed throughout the teaching and learning process, they can generate a difficulty for the realization of the objectives pursued. In our critical qualitative research, we built a didactic sequence with the use of digital devices that allowed us to obtain the information and data necessary for the analysis. It was developed in a pandemic context that challenged us in its reformulation -because it was initially thought to be worked on in person- and to think about how the students would respond to the development of the proposed activities, with the use of digital devices, in the virtuality. The following is the analysis of the results achieved in this investigative process.
ИГРОВЫЕ ТЕХНОЛОГИИ В ОБУЧЕНИИ ХИМИИ В УСЛОВИЯХ ОБНОВЛЕННОГО СОДЕРЖАНИЯ ОБРАЗОВАНИЯ

This article discusses the possibility of using game technology of teaching chemistry, allowing to solve one or more problems as a result of independent cognitive activity through the model of educational material in chemistry in a renewed education. Conducting a lesson in a playful way increases the motivation of students to knowledge. Classes organized through the game become easy, attractive and understandable for children. The ultimate goal of training is the quality of training, that is, strengthening methodological cognitive, educational, educational activities and practical focus on improving the content, types and methods of the lesson. In this regard, we consider several ways and methods of teaching chemistry using gaming technologies.
PMA LibGuides: Image Guide: Search

A guide to finding and using images in the museum collections and elsewhere. Tips for searching for images.
Use of Web Pages and Social Media Tools in Promotional Marketing Activities of Archives: The Case of The Women’s Library and Information Centre Foundation

Numerous studies demonstrated the importance of archives as cultural institutions for states, societies and individuals. Construction of archives, preservation of archival content, management of archives and presenting the content for target group constitute major interests of those studies. This study investigates how an archive institution presents its content to its target group through web and social media applications. In this context, this study aims to discuss how web sites and social media accounts are benefited as distant access and communication media and tools in public relation activities. Because the Women’s Library and Information Centre Foundation uses web site, Facebook, Twitter, and Instagram social media tools regularly and frequently, it was chosen as sample of the study. Web pages and social media accounts of the Centre was analyzed according to criteria developed by previous studies in public relations field. Data collected in the dates of May 2019 for Web site content analysis and social media post analysis, and November 2019 for accessibility analysis. Document analysis method was used to address research aims. Data demonstrated that the centre benefits its web site in satisfactory level yet with a low accessibility level for disabled individuals. Furthermore, data demonstrated that the centre was found weak in use of social media tools in public relations activities. In digital age, it is impossible to think use and benefit public relations activities without digital tools and media. As such, archive institutions are expected to use and benefit web pages and social media tools to extend their reach and accessibility.
Standardizing Objective Measures of Presence in Immersive Virtual Environments

Presence is the feeling of actually being located in a virtual environment, and has been subject to intensive research as long as virtual reality exists. Nowadays, it is commonly evaluated using subjective measures, which most of the time take the form of questionnaires. However, there have been doubts about whether measures of this type are able to truly capture the actual concept behind presence (if it exists, although this is highly likely). While working on my master’s thesis, I found that it is quite difficult in practice to purposefully employ more objective measures into specific experimental designs. This is why I decided to dedicate myself to contributing ways to make this easier for as many scenarios as possible. My current work involves advanced pattern recognition and general methods from digital signal processing to analyze objective, continuous sensory data like eye-tracking and electromyography.
LibGuides: SUMMER 2021 Hybrid Access to Library Services & Resources: Articles Online

Whether you're here on campus or studying remotely, you still have access to library resources and services!
LibGuides: LI855XU Geography Collection LibGuide: Home

This guide is meant to assist students at Dixie State University in finding resources within the new Geography Collection.
Long-Span Dependencies in Transformer-based Summarization Systems.

Transformer-based models have achieved state-of-the-art results in a wide range of natural language processing (NLP) tasks including document summarization. Typically these systems are trained by fine-tuning a large pre-trained model to the target task. One issue with these transformer-based models is that they do not scale well in terms of memory and compute requirements as the input length grows. Thus, for long document summarization, it can be challenging to train or fine-tune these models. In this work, we exploit large pre-trained transformer-based models and address long-span dependencies in abstractive summarization using two methods: local self-attention; and explicit content selection. These approaches are compared on a range of network configurations. Experiments are carried out on standard long-span summarization tasks, including Spotify Podcast, arXiv, and PubMed datasets. We demonstrate that by combining these methods, we can achieve state-of-the-art results on all three tasks in the ROUGE scores. Moreover, without a large-scale GPU card, our approach can achieve comparable or better results than existing approaches.
LibGuides: Guide to Zoom for RSOs: Zoom Party Ideas

Learn how to set up, run, and record meetings on Zoom for on-campus clubs and RSOs. You'll also find some tips and tricks for making Zoom more fun and ideas for Zoom parties!
Relationship between early computer use and ICT competence : Evidence from OECD Countries

As information and communication technologies (ICT) have been getting continuous attention in educational area for decades now. The development of ICT competence and autonomy in using ICT in pupils proves to be a worthwhile area of educational research. This contribution deals with a potential relationship between the early use of computer and ICT competence and autonomy in pupils. This relationship is examined on data from the PISA 2015 survey, which also contained an ICT related module (questionnaire) across OECD countries, which participated in this survey. First analyses bring promising results, preliminary confirmation of the relationship between the early use of computer and pupils´ ICT competence and autonomy, as well as interesting indications for more complex developmental processes connected to ICT competence and autonomy. Implications for further research as well as educational policy area are discussed.
Subtle Gaze Guidance for 360° Content by Gradual Brightness Modulation and Termination of Modulation by Gaze Approaching

On VR, users do not always see the specific contents that the creators want them to focus on. For the creators to provide users with the immersive experience they intend, it is necessary to naturally guide the user's gaze to relevant spots in the virtual space. In this paper, we propose a subtle gaze guidance method for 360° content combining two techniques; gradual brightness modulation and termination of modulation by gaze approaching the guidance area. The experimental results show that our method significantly contributes to a more natural and less disturbing viewing experience while maintaining relatively high guidance performance.
Analytical Study of the A* Heuristic Search Algorithm Used to Solve Efficiently a Puzzle Game

The puzzle game presented in this paper consists in polyhedra (prisms, pyramids or pyramidal frustums) which can be moved using the free available spaces. The problem requires to be found the minimum number of movements in order the game reaches to a goal configuration starting from an initial configuration. Because the problem is enough complex, the principal difficulty in solving it is given by dimension of search space, that leads to necessity of a heuristic search. The improving of the search method consists into determination of a strong estimation by the heuristic function which will guide the search process to the most promising side of the search tree. The comparative study is realized among Hamming heuristic, Manhattan heuristic, and the Chebyshev heuristic using A* search algorithm implemented in Java. This paper also presents the necessary stages in object oriented development of a software used to solve efficiently this puzzle game. The modelling of the software is achieved through specific UML diagrams representing the phases of analysis, design and implementation, the system thus being described in a clear and practical manner. With the purpose to confirm the theoretical results which demonstrates that Manhattan heuristic is more efficient was used space complexity criterion. The space complexity was measured by the number of generated nodes from the search tree, by the number of the expanded nodes and by the effective branching factor. From the experimental results obtained by using the Chebyshev heuristic, improvements were observed regarding space complexity of A* algorithm versus Hamming and Manhattan heuristics.
Partition of Relative Maximum Region Band Based Image Compression

The proposed work presents a novel multispectral image compression method using Partition of Relative Maximum Region Band Algorithm (PRMSB). In the proposed method, 2D multispectral image is decorrelated in the first and second stage of intra and inter band correlation. From this process, the main spectral band component for analysis is selected. These components were given to Partition Band Selection Method, where the sequences of band components are extracted. In this approach, the spectral bands are treated dependently, so there will be 6 sequences as the number of bands. Relative Region Algorithm generate a spectral sub band wavelet transforms, performs better in terms of maximum estimation and compression efficiency. Throughout the experiments, the proposed work shows good performance with the surveyed methods.
DI Library: About the DI Library: Services for Faculty

Hours, contact information, policies, and services of the DI Library Information about the library services available to DI Faculty
ISALPDC-16 : Classification of Pancreatic Cancer Stadium Using Recurrent Neural Network (RNN) Model Algorithm

Aims: One way to detect the presence of pancreatic cancer is by examining it using Computed tomography (CT) scan. After a pancreatic cancer is detected, classification is done to determine the stage of cancer. In this study, we used the RNN model for the classification of Pancreatic cancer stadium. This study aimed to explain the procedure and the accuracy of the Elman tissue RNN modeling in pancreatic cancer stadium classification from the CT scan.Methods: The process carried out is to convert the image of red green blue (rgb) to a grayscale image on the CT scan data. After that the image was extracted with Gray Level Co-occurrence Matrix which was designed using Graphical User Interface with Matlab. There are 14 features, namely energy, contrast, correlation, Sum of Square, Inverse Different Moment, sum average, sum variance, sum entropy, entropy, differential variance, differential entropy, maximum probability, homogeneity, and dissimilarity. The feature is used as input, which is then divided into training data and testing data. After that, Elman network RNN modeling was carried out with data normalization, best model design, and data denormalization. The best model design was done by finding the number of hidden neurons and eliminating network inputs using the backpropagation algorithm.Results: The results of the best model training data and testing data were measured using sensitivity, specificity, and accuracy. So that from 74 training data obtained 92% accuracy rate, 96% sensitivity level as a reliable indicator when the results show pancreatic cancer, and 79% level of specificity as a good indicator when the results show normal pancreatic. While in 18 data testing showed 94% accuracy, 100% level of sensitivity, and 80% level of specificity.Conclusions: The conclusion in this study can be said that good classification results are obtained.
Analisis Topografi dalam Penentuan Jalur Evakuasi Tsunami di Kota Padang

As one of the tsunami disaster mitigation efforts, the Padang City Government has made a tsunami evacuation map in 2010. However, information regarding the tsunami hazard zone on the map has not been updated to date. Planning for mitigation activities focuses on the coastal areas on the north to the urban centers of the city of Padang. Hills and rice fields on the coast make access to the movement of evacuation communities in the southern region of the city of Padang to be limited. Based on this background, this study aims to conduct topographic analysis in determining potential tsunami evacuation routes in the southern region of Padang City using quantitative methods through the GIS approach. The analysis carried out was community preparedness analysis, tsunami flooding zone modeling, analysis of the level of danger, vulnerability, and tsunami risk. In the end, based on the results of the analysis carried out the determination of potential shelter locations and potential evacuation routes as a form of direction and recommendations regarding tsunami disaster mitigation activities in Padang City. 53 locations of potential evacuation shelter were proposed with details of 18 locations in Bungus Bay, Kabung District, 9 locations in Lubuk Begalung District, and 26 locations in Padang Selatan District. To support the 53 potential locations of the shelter, a potential evacuation route is planned for 52 evacuation routes using the existing road network and 21 proposed evacuation routes to the nearest hills.
Research on Protein Level in Medical Latex Glove Images using Color Kernel Regression Method

In the healthcare environment, medical latex gloves are a necessary medical item for healthcare workers as it offers excellent hand barrier protection against dangerous microorganism. However, if the healthcare workers repeated exposure to the latex gloves which contain high protein level, it will increase the possibility of the workers to have a risk for latex allergy. Thus, the objective of this project is to develop a color kernel regression (CKR) method for estimating protein level through the analyses of color difference in glove images. Initially, the gloves will go through an uncomplicated chemical test for protein detection. A blue color will appear on the surface of a glove sample that contains protein. After that, the chemical binded sample will be digitally converted into a sample image using the flatbed scanner. The image will then undergo image processing to improve its quality and to calculate the color difference values of the sample. Those calculated values with the pre-defined protein levels will be used to plot a standard graph. A high coefficient of determination with R2 &gt; 98% has been obtained from the experimental graph. This indicates that the proposed CKR method contributes significantly toward the estimation of protein level
2013년 개정 교육과정에 따른 북한의 초급중학교 영어교과서 분석

The purpose of this explorative study was to find out the characteristics of reading passages in North Korea’s current middle school English textbooks. To this end, two analyzing criteria were postulated: structural organization and content. The overall findings are as follows: First, each unit was composed of various pair/ group work activities, which may help learners to build communicative competence. Second, four linguistic skills were integratively presented in the textbooks. Third, reading passages dealt with topics related to students’ daily and school lives, nature, science, and foreign culture. Interestingly, topics such as promoting communist ideology or idolizing Kim Jong-un had significantly less weight than previous textbooks. Fourth, there were statistically significant differences in the readability of textbooks by grade. Overall, North Korean English textbooks have improved in form and content. This shows that North Korea, which has only emphasized internal solidarity while being cut off from the outside world, is pursuing English education in line with the global trend.
LibGuides: Quick Guide to Finding Scholarly Articles: Contact the Library

This LibGuide is intended for librarians to use with students with questions about how to use Databases A-Z and E-Journals A-Z to find full-text scholarship for college research papers This page provides links for contacting reference librarians.
Visual WiKu Apps as A Modern Interactive Media To Learn The Anatomy Of Wijaya Kusuma Flower (Epiphyllum Oxypetallum)

The process of learning a subject requires the power of creation and innovation so that the learning process will be more interesting. augmented reality enables the creation of learning methods that provide interactive touches and make objects appear lively and realistic. Wijaya kusuma flower (epiphyllum oxypetalum) is one of the subjects of biology that needs to be studied in anatomy. while the flower is unique that it blooms only in the middle of the night, so it is quite difficult to see directly during study hours. in this study created a learning media specifically designed to study the anatomy of the flower Wijaya Kusuma alone. researchers used augmented reality technology to make the flower model look so real and represent the original flower. the application was built using Blender, Vuforia and Unity software and named Visual WIKU. The result of the study is an interactive learning media that can show the user a three-dimensional model visualizes parts of flower in detail including its size. In this media, in addition to the three-dimensional model, narration in the form of text in each scene and sound is also displayed to integrate the sense of hearing so that it can stimulate students' understanding.
Short Communication on Algebra

Algebra helps in determination the mathematical equations and helps to derive the unknown quantities, just like the bank interest, proportions, and percentages. The variables within the pure mathematics may be accustomed represent the unknown quantities that square measure coupled in such the simplest way to rewrite the equations. The algebraical formulas square measure employed in our everyday life to seek out the gap, the degree of containers, and to work out the sales costs as and once required. Pure mathematics is incredibly useful in stating a mathematical equation and relationship by creating use of letters or alternative symbols representing the entities. The unknown quantities within the equation may be resolved through pure mathematics. Some of the most topics returning underneath pure mathematics embrace Basics of pure mathematics, exponents, simplification of algebraical expressions, polynomials, quadratic equations, etc.
LibGuides: Reference Training: Tiered Reference: 8. LibChat How Tos with Video

This guide will help train Library Assistants to respond to basic reference questions, record/track responses and introduce the libchat tool.
LibGuides: Business Management: Copyright

A guide to assist library users to easily find library resources related to Business management
New Product Development : Inflatable Pillow Fan / Hanisah Norazam ... [et al.]

Our company involve in technology-based industry where we mainly focuses on production with advanced technology that can solve problems. Based on the problem that occurs, we come out with new or innovative idea and invent it by using technology. In order to provide high quality and comfortable appliances that suitable for any age, our company uses high and durable materials. In addition to this, both technical and business skills will be equipped in our business. Mainly, we will focus more on research and development so that new and fresh product can be produced for a better future. Hence, we develop the idea of inflatable pillow fan where it is a combination of pillow neck and neck fan. This product is an efficient appliance because it has more than one operational function. The concept of saving space, pain reliever, and comfort is combined together and inflatable pillow fan is produced. Moreover, this product is unique since it can attach together and detach. This product is easy to bring, cheaper and convenient for every age. Therefore, the inflatable pillow fan is produced to discover the potential of this product in the market as well as to identify the market reaction towards this product.
LibGuides: VR technology for History of Art students: Home

A libguide dedicated to History of Art students to offer the option of immersive learning through VR technology.
Penerapan Algoritma K-Means untuk Mengetahui Tingkat Potensi Penyakit di Daerah Simalungun

Health is the most important source in human life. Many people who do not pay attention to their health are not even aware of the disease that occurs in the surrounding environment, so that people are vulnerable to disease, especially in the Simalungun area. The data source of this research is based on the results of the Central Statistics Agency of Simalungun Regency in 2019. There are 32 subdistricts with frequent disease outbreaks, including pneumonia, diarrhea and dengue fever. It is necessary to apply the K-Means algorithm by grouping 3 types of diseases based on the District in the Simalungun area. By using the K-Means algorithm in this study, it can be seen the level of potential disease in Simalungun Regency.
LibGuides: Diversity in Children's Books: Apps and Activities

This LibGuide will help parents, librarians, and educators find children's books and other resources that represent children of all races, religions, cultures, ethnicity, and gender identities.