Reviewerly/exHarmony huggingface dataset:
Information Culture in the Context of Remote Interaction

The article deals with the peculiarities of information culture transformation in the context of the Covid-19 pandemic.This work also considers concept of information culture and its main aspects, as well as determines the key features of changes in information flows during the pandemic.The author comes to the conclusion that the pandemic has increased the degree of informatization of society without solving the key problems of digital culture, such as the reliability of information, digital security, compliance with ethical and legal norms.The pandemic has led to an increase in the degree of integration of individuals with digital services and platforms, but there has not been a comprehensive increase in information culture, as evidenced, in particular, by the low level of trust in official sources of information.Meanwhile, people are focused on increasing digital integration, which is reflected in the strengthening of ideas about increasing the number of online sales, the spread of remote work and the development of the distance education sector.
Artificial Intelligence and Institutional Transformations of the Education System in the Context of the Sustainable Development Paradigm

The article considers the prospects for improving the global educational system in the context of active development and implementation of developments in the field of artificial intelligence in the educational process.The main focus is made on the compliance of possible strategies for the interaction between the educational environment and AI with the standards of the sustainable development paradigm approved by the UNO for the next decade.In the context of the study, both constructive and destructive scenarios of human interaction with AI are taken into account.At the same time, the position is argued that risks and dangers still prevail over the technological opportunities that the new stage of development of AI technologies can provide.Therefore, as the main conclusion, it is proposed to place a bet on maximizing the development of total human intelligence through the introduction of new educational strategies in the future of implementing high-quality, accessible to all primary, secondary and higher educational levels on a global scale.At this stage of the development of civilization, this task is a priority.In addition, restrictions on the development and implementation of AI are necessary to avoid the unpredictable consequences of a "technological singularity".
The History of V. A. Rokhlin’s Ergodic Seminar (1960–1970)

The paper tells about the main features and events of the ergodic seminar organized and headed by V. A. Rokhlin at the Leningrad State University. The seminar was active in 1960–1970.
Political and Public Perceptions of Students’ Dressing Codes in Higher Learning Institutions

This study sought to explore Politics of students’ dressing codes and its impact on political and public perceptions in Tanzanian higher learning institutions. It was a qualitative study which used an in depth interviews to collect data from 10 administrative regions (Mwanza, Arusha, Dodoma, Dar es salaam, Mbeya, Iringa, Kagera, Tanga, Mtwara and Tabora) in Tanzania. A total of 40 informants were purposefully selected to participate in the study meanwhile a thematic analysis was employed to analyse and manage the data. In order to produce indisputable data, indispensable cleanings, transcription, coding, organizing, and theming were ascertained in the process. The findings reveal that, there is negative perceptions towards students’ dressing codes which resulted into ethical based discontent amongst Tanzanians on the dressing codes of higher learning institutions’ students meanwhile public comments to the legislative bodies to make a law or related policy that will be implemented to regulate all kinds of undesirable dressing behavior in learning institutions.
Lecturers and E-lecturers in cross-border education in the context of the fourth industrial revolution

Nowadays, globalization has given birth to various forms of non-traditional education. These forms of education are transcending borders and traversing boundaries of space and time. The evolution of information technology in the context of Industry 4.0 has transformed education rapidly and, at the same time, resulted in new problems. This paper discusses the role, the importance and the relationship between lecturers (in universities) and e-lecturers (in the virtual reality environment) when implementing cross-border education. In addition, the article also mentions the changes of universities, lecturers, curriculums and teaching methods when deploying distance e-learning programs in Industry 4.0. The article uses conceptual model, diagrams and interdisciplinary methods such as education, culture, science and technology to investigate e-lecturers’ concept and provide solutions for improving the capacity of lecturers and the quality of teaching cross-border training programs in universities.
Pengaruh Pendekatan Joyful Learning Pada Mata Kuliah Muamalah Terhadap Hasil Belajar Mahasiswa FKIP UMSU

oyful Learning Approach in Muamalah Course Against Student Learning Outcomes of Faculty of Law UMSU that learning is no longer understood merely as a process of transfer of knowledge but must be practiced by students. As a form of implementation of the activities carried out by each student. This study aims to determine whether or not the influence of the problems faced in class is often not in line with expectations. In learning material muamalah students often encounter boredom and difficulty accepting the material. So students feel uncomfortable with learning so that they will do things that can disrupt the learning process. This study aims to find out how much the influence of the Joyful Learning approach so that class learning in the implementation of learning should be held interactively, inspiratively, fun, challenging and motivating students to participate actively. Learning is organized in a fun and can have a positive effect on student learning outcomes. The activity carried out by students is conducting classroom practice using a Joyful Learning approach. Keywords: Joyful Learning Approach, Learning Outcomes, Muamalah.
Guides: Finding Drug and Clinical Information: Mobile Resources

This guide points UMB students, faculty, and staff to drug information resources for clinical and research purposes. Mobile apps and other sites that have mobile versions.
The 4th International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2021)

The organizers of the 4th International Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing (Auto-DaSP 2021) are delighted to welcome you to the workshop proceedings as part of the ICPE 2021 conference companion.
LibGuides: Online Databases and Electronic Resources: History - United States

Find databases and other resources for researching that school project. Databases & Electronic Resources
APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization

Query categorization is an essential part of query intent understanding in e-commerce search. A common query categorization task is to select the relevant fine-grained product categories in a product taxonomy. For frequent queries, rich customer behavior (e.g., click-through data) can be used to infer the relevant product categories. However, for more rare queries, which cover a large volume of search traffic, relying solely on customer behavior may not suffice due to the lack of this signal. To improve categorization of rare queries, we adapt the Pseudo-Relevance Feedback (PRF) approach to utilize the latent knowledge embedded in semantically or lexically similar product documents to enrich the representation of the more rare queries. To this end, we propose a novel deep neural model named Attentive Pseudo Relevance Feedback Network (APRF-Net) to enhance the representation of rare queries for query categorization. To demonstrate the effectiveness of our approach, we collect search queries from a large commercial search engine, and compare APRF-Net to state-of-the-art deep learning models for text classification. Our results show that the APRF-Net significantly improves query categorization by 5.9% on [email protected] score over the baselines, which increases to 8.2% improvement for the rare (tail) queries. The findings of this paper can be leveraged for further improvements in search query representation and understanding.
Standard Arabic Verbs Inflections Using NOOJ Platform

This article describes the morphological analysis of a standard Arabic natural language processing, as a part of an electronic dictionary-constricting phase. A fully 3-lettered inflected verbs model are formalized based on a linguistic classification, using NOOJ platform, the classification gives certain representative verbs that will considered as lemmas, this verbs form our dictionary entries, they are also conjugated according to our inflection paradigm relying on certain specific morphological properties. This dictionary will be considered as an Arabic resource, which will help NLP applications and NOOJ platform to analyse sophisticated Arabic corpora.
InfoGuides: Business Research Toolkit: About

Modeled on the University of Alabama at Birgmingham, Sterne Library's award winning Business Research Toolkit Program, GMU's version is offered each Fall and Spring semester. The hands-on program introduces participants to business resources and research
Evaluasi Kesuksesan Sistem Informasi Model Delone & McLean pada Sistem Informasi Manajemen Daerah Barang Milik Daerah

To evaluate information systems successfulness of SIMDA BMD in Bandung Regency Government using Delone & Mclean Model (2003) is the research aims. Research type is quantitative descriptive. Samples are 33 SKPD determined by purposive sampling approach with 66 respondents which are goods handler. Primary also secondary data are the source of data comes from. The data analysis method used is SEM-PLS with SmartPLS 3.3.2 software. The results show that the quality of the system and service quality is verified not to affect user satisfaction, while the quality of information is proven to affect user satisfaction. User satisfaction is verified to affect the net benefits of SIMDA BMD. The conclution is the implementation of SIMDA BMD in Bandung Regency Government can be classified as successful.
Data-driven gameplay experience balancing

The overall aim of developing a game that is fun to play is often hard to achieve due to the complexities of the game development process. An accurate understanding of player behavior and their gameplay experiences can help identify and resolve any potential problem areas before release. In this keynote, I will use commercial case studies and academic research projects to provide a summary of my work in developing new evaluation methodologies, tools and data visualizations for games UX evaluation. I will discuss approaches and provide guidelines on how game developers and researchers can benefit from gameplay data to optimize player experience.
Pengaruh Locus of Control Dan Motivasi Belajar Terhadap Hasil Belajar

The purpose of this study was to determine the effect of Locus of Control and learning motivation on learning outcomes. The research design used a quantitative approach. The study used a population of class X accounting students of SMKN 2 Jiwan with a total of 161 students. The sample used was 115 students. The data collection technique was done by simple random sampling. The data sources used were primary data and secondary data. Data collection was carried out by means of a questionnaire in order to obtain data on the locus of control and learning motivation, meanwhile the learning outcomes were obtained from the average value of daily tests. Test instrument examiners used validity and reliability testing with Cronbach Alpha. The results of this study show 1) there is a significant positive effect of locus of control on learning motivation, 2) there is a significant positive effect of learning motivation on learning outcomes, 3) there is a simultaneous significant effect on learning outcomes.Â
Developing Framework of Web Scraper for Agriculture Data using Client Server Module

Searching for relevant information becomes very difficult and sometimes we don’t find the exact information what we are actually seeking, so it results in time-consuming and repeating the same web page without knowingly. A system that will know our needs, requirements, preferences, and patterns. This will retrieve the correct information and helps in fast processing. In this work, it is proposed that the personalized search engine for information retrieval system using the client-server module for user preferred information through intelligent search and storing the searched result in a database for further accessing of information is implemented. For information retrieval, a framework known as scrappy is used for retrieving all the user needed information by specifying the URL of that data. The fetched information is stored in the database. It helps in offline browsing, full-text search in the database, and fast response and no repeating of web pages.
Polyphonic Music Generation

Recent advancements in neural networks have helped algorithms to generate musical sound that is comparable to sounds composed by humans. In this project, polyphonic music is generated using Deep Learning neural network. Unlike generating images and videos, generating music is a bit different; generating music is time dependent. The used algorithm for this purpose is Variational Auto-encoders. By generating a sequential note of measures by already defined chord progression, our model can produce musical notes with convincing long-term structure. These algorithms have tune-able parameters and such types of algorithms yield better results and are practically useful for artists, filmmakers and many others in their creative tasks. In the future, users can provide tracks which consist of all the instruments and gives the similar track as the input. For e.g. given a specific track composed by a human, algorithms can create additional tracks similar to it.
IMAGE RETRIEVAL USING MODIFIED BLOCK TRUNCATION CODING FEATURE

With the advent of digital camera, improvement in the digital storage media and rapid development in internet provide a huge collection of images. Fast and accurate image retrieval from this huge collection of image database is a challenging task. This is possible only by combining the image retrieval mechanism along with image compression technique. Content Based Image Retrieval (CBIR) uses the visual information in the images to retrieve the similar images. In this paper, image feature descriptor from the compressed stream of image data is extracted where the images are compressed using a variant of Block Truncation Coding (BTC) named Dot Diffused Block Truncation Coding (DDBTC). Here the Colour Histogram Feature (CHF) and the Bit Pattern Features (BPF) are extracted and used to represent the image and similarity computation.
Augmenting saliency maps with uncertainty

Explanations are generated to accompany a model decision indicating features of the input data that were the most relevant towards the model decision. Explanations are important not only for understanding the decisions of deep neural network, which in spite of their their huge success in multiple domains operate largely as abstract black boxes, but also for other model classes such as gradient boosted decision trees. In this work, we propose methods, using both Bayesian and Non-Bayesian approaches to augment explanations with uncertainty scores. We believe that uncertainty augmented saliency maps can help in better calibration of the trust between human analyst and the machine learning models.
The Classification of Overseas Travelers based on Cultural Intelligence and Tourism Behavior: Focused on Q Methodology

The purpose of this study is to suggest political & practical implications by classification of cultural intelligence(CQ) and tourism behavior for overseas travelers through Q methodology. In the result of analysis, 3 types were classified. First type is ‘motivational-drifter type travelers’ who are with energy for learning & adapting to different culture. They are adventurous spirit, independence in the course of travel and an active person in the local cultural exchange. Second type is ‘metacognitive-organized type travelers’ who are with perception on different culture in the interaction condition. They take a serious view on safety, organization and want to minimize cultural contact in the local. Third type is ‘motivational-explorer type travelers’ who are with energy for learning & adapting to different culture. They take a serious view on self reliant attitude, novelty and want to maintain properly cultural contact in the local.
LibGuides: Virtual Library Orientation: Evaluation

Welcome to the AUC Robert W. Woodruff Library Orientation LibGuide! You will find links and tutorials to get you started researching at the Library here.
A deep convolutional neural network based framework for breast cancer detection

Breast cancer, the most common type of cancer for women, has been a trending topic of research for the last few decades. Very less percentage of information can be captured during a mammogram and that makes difficult situation for radiologists to identify carcinoma cells. So we presented a Deep Convolutional Neural Network based carcinoma cell identification classifier with accuracy 97.2%.
Sensor Fault Diagnosis Method based on One Dimensional Local Ternary Pattern

In order to solve the problem of sensor fault diagnosis, a fault diagnosis method based on one dimensional local ternary patterns and extreme learning machine is proposed. This method applies local ternary pattern used in the field of image recognition to the processing of one dimensional signals. Firstly, the sensor signal is subjected to six sliding maximum filters to obtain signals of different scales.And then one dimensional local ternary pattern is used to process the original signal and signals of different scales to obtain the feature vector. Finally, dimension-reduced feature vector processed by principal component analysis is classified by extreme learning machine to identify different types of sensor faults. Four kinds of sensor fault data is generated using simulation fault data model, and comparative experiments verify the effectiveness of this method.
PREDIKSI BENTUK AWAN BERDASARKAN KRITERIA CURAH HUJAN DI PERAIRAN CILACAP

The goal to be achieved in this paper is to predict the form of cloud based on rainfall criteria in Cilacap waters. (1. Group of nimbostratus clouds, stratus, altostratus, 2. Group of stratocumulus and altocumulus clouds 3. Cumulus and cumulonimbus cloud groups). The method in this study is a combination of survey and literature review. In this study the authors take the location in the waters of Cilacap. The data used are secondary data obtained from the Central Bureau of Statistics of Cilacap Regency. Sample data used is statistical data within the period of 5 years starting from 2012 until 2016. Based on the data analysis that has been done, namely the classification or classification of rainfall intensity data within the period of 5 years (2012-2016) obtained detailed data that is : In 2012 the average rainfall intensity of 10.6mm with rainfall criteria including light rain then belongs to the cloud form of Stratocumulus, altocumulus; In 2013 the average intensity of 11.1mm rainfall with rainfall criteria including light rain then belongs to the cloud form of Stratocumulus, altocumulus; In 2014 the average rainfall intensity of 13.5mm with rainfall criteria including light rain then belongs to the cloud form of Stratocumulus, altocumulus; By 2015 the average rainfall intensity of 10.3mm with rainfall criteria including light rain then includes the Stratocumulus cloud form group, altocumulus; In 2016 the average rainfall intensity of 18.4mm with rainfall criteria including light rain then belongs to the cloud form of Stratocumulus, altocumulus. Based on the details of the data, it can be concluded that the prediction of cloud form based on rainfall that occurs in the waters of cilacap is the group of stratocumulus and altocumulus cloud form.
Nilai Pendidikan Karakter pada Novel Si Anak Spesial Karya Tere Liye: Tinjauan Sosiologi Sastra dan Relevansinya Sebagai Bahan Ajar Sastra di SMA

National education functions to develop capabilities and shape the dignified character and civilization of the nation in the context of developing the intellectual life of the nation, aiming at developing the potential of students to become human beings who believe in and fear God Almighty, have noble, healthy, knowledgeable, capable, creative, independent and become democratic and responsible citizens. However, currently education in Indonesia cannot be considered successful in realizing the function of the national education. Therefore, the government through the National Ministry launched character education in the 2013 Curriculum. Based on these problems, this study aims to examine the intrinsic elements and values of character education in the novel The Children by Tere Liye, and their relevance as literary learning materials in high school. To find out these things, the sociological approach to literature is used. Data analysis techniques used in this study are qualitative descriptive techniques. The qualitative descriptive techniques is used to describing the data that has been found. This study shows that (1) the intrinsic element of Tere Liye's Si Anak Special novel in the form of the theme of the importance of education for everyone, the characters and characterizations consist of the main characters and supplementary characters. time, and social setting, the perspective used is the perspective of the first person, the style of language used by the author is very diverse, and the message given about the school is always important. (2) there are 16 values of character education contained in the novel Si Anak Spesial by Tere Liye. (3) The relevant Si Anak Special novel can be applied in the learning of Indonesian language and literature in the XII high school, namely basic competence 3.9 analyzing the content and linguistics of the novel.
Study of Semiotic Aspect in Youth Communication Based on Neurotechnologies

This paper explores the features of youth perception of the message semiotic aspect and its impact on the communication process effectiveness through the use of neurotechnologies.A neurophysiological study using a stationary IT tracker made it possible to obtain new objective data on the level of visual attention, interest, emotional involvement, and memorability of a communicative message containing symbols significant for the target audience.The results of the research have shown that at the conscious level, test persons do not feel differences in the assessment of communicative messages with the presence/absence of symbols significant for them.However, the study of unconscious neurophysiological reactions has indicated several meaningful distinctions in perceiving the stimulus material.Thus, the percentage of memorability of a communicative message (image together with text) with the availability of visual symbols is higher among recipients having an emotional response to them: for group N1 it is 63.33%, for group N2 -46.43%.The study has also revealed the differences in an average duration of fixations on a picture-symbol at the 0.1 level of significance, which indicates the increase of visual attention and its influence on memorability.