Reviewerly/exHarmony huggingface dataset:
Library: Science Mentorship Program: Library 101: Contact

This guide was developed for students in the Science Mentorship program, but is a useful resource for any student who wants to learn more about the library and about library research.
PROBLEMS ENCOUNTERED BY STUDENT TEACHERS DURING THE B.ED. COURSE

The present research paper is concerned to the problems encountered by the student during the B.Ed. course. There are many problems that are been faced by student teachers during the entire course such as health problems, family problems, personal problems, educational problems and financial problems. The course structure of the B.Ed. programme offers a comprehensive coverage of themes and rigorous field engagement with the child, school and community. In the present study the investigator made an attempt to study the problems faced by the pupil- teacher during B.Ed. programme in Mumbai district Maharashtra. 200 Pupil-teachers were taken from both government sponsored and self-financed B.Ed. college affiliated to University of Mumbai i.e. (100 pupil-teachers from government sponsored and 100 from self-financed B.Ed. college were taken). Self-made Questionnaire was used for collecting the data and descriptive method for interpretation was used. This study revealed that pupil-teachers face many problems during the B.Ed. course. The Teacher Educators must be considerate enough to understand these problems and provide them with counseling services from time to time.
4차 산업혁명 시대의 국방 데이터 전략과 구현방안

In the era of the 4th industrial revolution triggered by sophisticated information technology and intelligent technology, many countries and companies are strengthening their ability to analyze and utilize their data as strategic assets. the defense domain recognize the importance of data and introduce big data and artificial intelligence technology to improve operational effectiveness and to improve efficiency of defense operation. However, they have found that there is a problem in the overall data management such as data acquisition, data quality, lack of infrastructure. Therefore, this paper propose the direction of the defense data strategy and the plan to implement it in order to diagnose the data management policy and current status of our military and apply the latest information and communication technology smoothly.
Two Dimensional Data Hiding using Haar Wavelet Filter

Data hiding is a very important filed for security. Due to fast and wide distribution of digital data over internet, need of hiding techniques to secure digital data is required. In this paper, two dimensional data hiding using Haar Wavelet filter has been proposed. Secret data is secured by Discrete Wavelet Transform (DWT) which is embedded into the mid frequency sub-band of a cover data by using variable mixing factor (k). The efficiency and effectiveness of presented work is evaluated on the basis different parameter like as peak signal to noise ratio (PSNR), normalized correlation coefficient (NCC) etc.
Writing in the Holy Qur’an and the Bible: A Comparative Analytical Study

The history of writing, its tools and materials constitute an important aspect of library science, as writing is one of the most important means of transmitting ideas, sciences, human knowledge, and religious.beliefs All religions have been interested in writing, as the sanctity of religion itself was reflected on them. From the beginning, writing was considered a means of preserving divine speech. Thus, this study seeks to enumerate what was mentioned in the Holy Qur’an and the Bible of writing terms, their derivatives, tools, and materials. The study then to explores the writing tools and materials mentioned in the Holy Qur’an and the Bible. The article uses the comparative analytical method. The current study is divided into an introduction, and three sections The first section deals with the concept of writing, its history, importance, tools, and finally its materials, while the second section handles how religion regards writing. It includes the stature of writing in Judaism and Christianity, and Islam. The third section discusses writing and its derivatives, tools, and materials in the Holy Qur’an and theBible. It also presents the most important terms related to writing contained in the Holy Qur’an and the Bible. The study concludes with the most important findings of the study results, and recommendations.
Power Series Representation Op logical Functions and its Applications to Error Detection and Error Correction Codes.(Dept.E)

The need for high speed digital storage/retrieval and digital communication systems with error detection and error correction capabilities raises a significant problem to the implementation of error control encoding and decoding. Traditional inplementation has been accomplished through the use of feedback shift register networks. These networks, although being convenient to implement represent a slow process in the overall system since they involve the shifting of code words to generate the error control bits/syndrome. Parallel implementation provides a fast solution, however, it poses a significant complexity to the encoder/decoder implementation.  This paper introduces a new implementation for a fast encoder/decoder using analog neural networks. With neural nets as the basic building blocks, the error contra bits/syndrome are asynchronously generated using Op Amps and resistor elements. The problem of fan-in and fan-out inherent in digital implementation is also avoided.
Performance Optimization of Face Detection Algorithm

Human face detection is known as one of the most concerned topics in numerous fields such as monitoring and surveillance system. In today's era, the existed face detection system is needed to be modified and optimized to adapt the changing demands. In this study, the face detection system with Viola-Jones algorithm had been used, modified, and optimized. The compilation of the optimized face detection system is conducted in Very High Speed Integrated Circuit Hardware Description (VHDL) language by using Quartus Prime 15.1 Lite Edition software. The new optimized face detection system is applied on the Altera DE2-115 Development and Education board. Several performance measurements such as power consumption, computing frequency and accuracy are carried out to examine the performance of the new optimized and implemented structure. To evaluate the accuracy of the new face detection system, the results of the measurements were compared to the results of the original face detection system. The obtained results had shown some improvement on the performance of the face detection system
LibGuides: Virtual Learning Center: Home

On the 3rd Floor of the Library, students and faculty can get hands on training with the usage of fully immersive VR Headsets.
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection

The existence of multiple datasets for sarcasm detection prompts us to apply transfer learning to exploit their commonality. The adversarial neural transfer (ANT) framework utilizes multiple loss terms that encourage the source-domain and the target-domain feature distributions to be similar while optimizing for domain-specific performance. However, these objectives may be in conflict, which can lead to optimization difficulties and sometimes diminished transfer. We propose a generalized latent optimization strategy that allows different losses to accommodate each other and improves training dynamics. The proposed method outperforms transfer learning and meta-learning baselines. In particular, we achieve 10.02% absolute performance gain over the previous state of the art on the iSarcasm dataset.
LibGuides: Drop-In Library Support Sessions: Week 4

Resources on search strategies, doing a literature review, getting the most out Google Scholar and APA 7 Referencing from library support drop-in sessions in November 2020.
THE CONCEPT AND ESSENCE OF DIFFERENTIATED LEARNING

It is known that modern life requires more knowledge, and also complicates the content of the material that students master at school. Teaching traditionally, teachers note the difficulties with the development of the program material by the majority of students. This is due to the differences between students in the class in terms of potential, work rate, development, or differences in these indicators. The learning process is built by teachers, and the average student is chosen as a reference point, but the lagging or capable student does not receive enough attention. In this situation, students with high potential are not given a sufficient load, while for lagging students, learning is difficult. Therefore, the purpose of the study: to identify the pedagogical conditions of differentiation of students learning in the process of teaching mathematics in secondary school.
Development of reading comprehension according to the model »Collaborative strategic reading« in student with dyslexia

The main goal of reading is comprehension, which is especially important for independent learning in school. Many students, especially students with specific learning difficulties, among which are also students with dyslexia, do not know how to use reading comprehension strategies properly, which affects their learning success, general learning failure and other areas of their life. These students also have difficulties in reading and reading comprehension in foreign languages. Because we know how important foreign languages are today and what are their advantages, it is essential that all students are provided with appropriate and quality teaching of foreign language. The purpose of the master´s thesis is to improve the ability of reading copmprehension in English in student with dyslexia according to the model Collaborative Strategic Reading. The model is divided into strategies before, during and after reading and it also provides a framework for working with students who have difficulties in comprehending texts they read. In theoretical part we presented the general characteristics of students with dyslexia and the characteristics and problems that students with dyslexia face when learning a foreign language, especially in the field of reading and reading comprehension. We also introduced metacognition and the use of reading strategies, where students with dyslexia are weaker.Within the use of reading strategies we presented several strategies and models that promote reading comprehension in English, including Collaborative Strategic Reading. We also described the characteristics of motivation in students with dyslexia when learning a foreign language. In the empirical part of the master´s thesis, we were interested in the impact of training on reading comprehension in English according to the model Collaborative Strategic Reading in student with dyslexia. The success of the training was evaluated by comparing the initial and final results of the assessment tools we used, which were also adjusted if necessary. We used a questionnaire on learning strategies (Pecjak, 1998 v Pecjak in Gradisar, 2012), a questionnaire on reading motivation (Pecjak, Bucik, Gradisar in Peklaj, 2006; Taylor, 2010, 2013), a test to check comprehension of English texts and English vocabulary, assessment tools Reading AZ (2002) to determine and verify the level of reading cmprehension. A comparison of the initial and final results showed progress in the use of reading strategies before, during and after reading and consequently also an improvement in reading comprehension in English texts Training had a positive effect on the motivation to read in English and on the use of English vocabulary. The presented training based on a model Collaborative Strategic Reading will benefit both special and rehabilitation teachers in the implementations of additional professional assistance as well as English teachers who will be able to transfer the model into their teaching practice. Both will also gain new insights from this field.
Design and Implementation of a Waste Management Device

Hand motion recognition is extremely noteworthy for human-PC connection. In this work, we present a novel genuine time method for hand signal recognition. In our system, the hand region is removed from the foundation with the foundation subtraction method. Then, the palm and fingers are fragmented in order to distinguish and perceive the fingers. At long last, a standard classifier is applied to anticipate the names of hand motions. The investigations on the informational collection of 1300 images show that our technique performs well and is profoundly effective. In addition, our strategy shows preferable presentation over a condition of-workmanship technique on another informational index of hand motions. In this paper, we present a proficient and effective method for hand signal recognition. The hand locale is distinguished through the foundation subtraction method. At that point, the palm what's more, fingers are part in order to perceive the fingers. After the fingers are perceived, the hand signal can be characterized through a basic guideline classifier.
Identify the bugs from Software using the Supervised algorithms

Software Bug Detection (SBD) is the critical concern in the field of the software development process. Because if we can identify the errors in the software in the initial phase that will help to enhance the quality and efficiency of the software. But to implement such software is the main challenge and that’s why we need to analyze multiple machine learning algorithms from time to time. Multiple classifiers includes Decision Tree, Naive Bayes, KNN and many other relevant algorithms. Thus, we need to check the accuracy obtained and need to consider the most accurate one in consideration. The results, we observed will show the most accurate results of the prediction.
GSU Library Research Guides: LibKey: Libkey Nomad

browser extension that notifies users of available library subscribed and open access content discovered on the open web, at sites like publisher pages and Wikipedia, then connects to it in one-click
LibGuides: Library Guide for Faculty & Staff, Fall 2021: Research Guides

This guide is for faculty & staff who need guidance on accessing library resources at Moorpark College during the reopening of campus.
The Use of Blockchain Technology in Identity Storage and Management

Evolvement of Blockchain following the introduction of the internet has thrown up many issues and its application across the broad spectrum of human activities, among which is full-proof identity management system. The current centralized data system of national identity services is replete with a whole gamut of operational risks for parties involved due to the issue of trust and lack of safeguards to protect the system from being compromised or hacked. Decentralized identity management system is a solution to the challenges, adopting a user-focused approach that gives full control of an identity back to the individual; and using Nigerianâ€™s National Identity Management System as a case study, a blockchain technology-based identity management system is proposed. Prototypes for identity construction, alteration, certification and reporting are presented. Cyber-attackdeterrence and developing of smart contract protocol model for identity management, as well as attribute disclosure are other contributions to the use of blockchain.
ON THE EXPONENTIAL DIOPHANTINE EQUATION 〖439〗^p+〖457〗^q=r^2

Diophantine equation is the subject undergoing intense study by the researchers in number theory as these equations help in solving various advance puzzle problems. In this article, authors discussed the existence of solution of exponential Diophantine equation 〖439〗^p+〖457〗^q=r^2, where p,q,r are whole numbers. Results show that the exponential Diophantine equation 〖439〗^p+〖457〗^q=r^2, where p,q,r are whole numbers, has no solution in whole number.
Multigrid Solver With Super-Resolved Interpolation.

The multigrid algorithm is an efficient numerical method for solving a variety of elliptic partial differential equations (PDEs). The method damps errors at progressively finer grid scales, resulting in faster convergence compared to standard iterative methods such as Gauss-Seidel. The prolongation, or coarse-to-fine interpolation operator within the multigrid algorithm lends itself to a data-driven treatment with ML super resolution, commonly used to increase the resolution of images. We (i) propose the novel integration of a super resolution generative adversarial network (GAN) model with the multigrid algorithm as the prolongation operator and (ii) show that the GAN-interpolation improves the convergence properties of the multigrid in comparison to cubic spline interpolation on a class of multiscale PDEs typically solved in physics and engineering simulations.
Use of Social Media in The workplace Case Study Of Saudi Public-Sector Employees

The research reveals that Social Media has many positive and negative effects on theworkplace. In addition, it divulges that there are a growing number of Social Media users inSaudi Arabia. This research focuses on a sample of Saudi employees who work in the publicsector only. This study was conducted in an effort to contribute to the existing literature ofSocial Media and the workplace while providing policy makers, employers and employeeswith knowledge regarding this matter. The results show that the more employees use SocialMedia, the more positive the feel about their use in work.
Webinar Technology-Based Science Article Writing Training

Abstract The purpose of this Community Service is to equip doctors in the field of writing scientific articles for promotion. The results of medical research in the form of research in the health environment can be used as a scientific article to be published in national and international journals. The method used in assisting the writing of scientific articles based on health research is by the direct practice of writing articles and their implementation submitted in journals. The method used in this research-based article writing assistance is by the direct practice of writing and its implementation in submitting articles to journals through Webinars. The results of this article writing assistance are felt to be very beneficial for doctors in the Bantul Health Service area, Yogyakarta. Through two days of training, doctors can write health research-based articles. Doctors can also easily be promoted when the articles are published in proceedings or scientific journals. Through this article training, it can increase the motivation of doctors in improving their functional positions and support better doctor interactions, so that the future hope is to improve the performance of doctors. Scientific Articles, Webinars, National Journals, International Journals
Facing #emergencies. The linguistic role of keywords, hashtags and retweets in communicating critical events

In recent years, social media platforms have had a tremendous impact on the online world due to their effectiveness in multimodal communication events (Herring 2001). Social media users benefit from the digital nature of such interactions to gather data for different purposes, including discourse-related ones (Zappavigna 2012). Hashtags, in this sense, have proved to be an effective tool that is used to broaden communication but also to prompt real-life actions, especially to face and manage critical or emergency situations (Olteanu et al . 2015). This specific device is more likely to be used effectively on Twitter, a popular micro-blog used as an information aggregator and catalyst for action (Zappavigna 2015). Following previous studies focusing on the same topic (Burnap et al. 2014; Hughes, Palen 2009), the paper examines examples of context-based words and/or purpose-specific hashtags to explore their use by different sets of users with diverse intentions and aims. Twitter data are retrieved by means of real-time data mining tools (Brooker et al. 2016) to create relevant keyword- or hashtag-based sample corpora dealing with emergency situations (Aug – Sep 2017: two terror attacks and a natural disaster) which have caused remarkable media exposure. Data from such corpora identify some relevant words used in such situations, grouped according to several variables such as event-related, channel-dependent or sentiment-based criteria. Furthermore, an aggregated analysis is carried out in order to retrieve the most common patterns used to highlight performativity, thus emphasising the role of purpose-specific communication. Finally, a comparison of aggregated corpora with different tool-specific features ( retweets ) highlights the importance of such tool-specific devices in magnifying the range of communication effectiveness occurring in a proper ‘online discourse community’ (Herring 2008).
ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models

This paper describes the gretl function package ParMA, which provides Bayesian model averaging in generalised linear models. In order to over-come the lack of analytical specification for many of the models covered, the package features an implementation of the reversible jump Markov chain Monte Carlo technique, following the original idea by Green (1995), as a flexible tool to model several specifications. Particular attention is devoted to computational aspects such as the automatisation of the model building procedure and the parallelisation of the sampling scheme.
A Comparative Study of the Influence of Self Concept and Moral Values on Achievement of Higher Secondary School Students from Government, Private and Missionary Schools of Bhopal Division

The present study was conducted to compare the influence of self-concept and moral values on the achievement of higher secondary school students from government, private and missionary schools of Bhopal division. The objectives of the study were i) to study the nature of self-concept among secondary school students from different types of schools; ii) to study the nature of moral values among secondary school students from different types of schools; iii) to study the influence of type of school on the self-concept of secondary school students; iv) to study the influence of type of school on moral values of secondary school students; v) To study the relationship between self-concept and achievement of secondary school students; and vi) to study the relationship between moral values and achievement of secondary school students. The study was conducted on a sample of 846 students studying in Class IX from 5 government, private and missionary secondary schools each. For the collection of the data a) Self Concept Inventory developed by Beena Shah; and b) Moral Values Scale developed by the Investigator were utilized. The marks obtained by the students were considered as their achievement. It was found that almost half of the missionary school secondary school students have high level of self-concept and moral values. Self-concept and moral values of missionary secondary school students is the most developed. It was also found that higher the scores of self-concept and moral values of the secondary school students higher will be the scores of achievement of the secondary school students.