Reviewerly/exHarmony huggingface dataset:
Kinerja Layanan Helpdesk Mendukung Peminjaman Melalui Aplikasi Booking Book di Era New Normal

Writing this paper aims to determine how the role of the help desk in supporting services in the new normal era. The USK library's UPT help desk is provided through two models, namely manual-based and on-line. In this study the authors only focused on the performance of the helpdesk services manually in managing and serving the borrowing process that must be done through the booking book application first. Data collection techniques are carried out through observation, interviews, and documentation. The results of the research will be displayed in table form by calculating the number of bookers and the number of collections borrowed. The new normal era USK library UPT help desk manual is assigned to handle especially requests for book collections for borrowing through the booking book application. This research proves that the role of the help desk is very necessary, especially in the new normal era because visitors are not allowed to enter freely and in a crowd.
Librarians’ Perception Of License Agreements Of Electronic Resources: A Study

With the introduction of license agreements, there is no more ownership of the electronic resources, but an access based or subscription-based approach to the electronic resources came into existence. In this recent time of license agreements, the library professionals should have some legal skills. They should know the use of various terms used in license agreements like clauses, tenure, user rights etc. so that they can negotiate and communicate better with publishers and vendors and cater to the needs of the patrons. This study aims to find out the knowledge, attitude, and perception of librarians on license agreements, and to find out the most important aspects of license agreements which are considered by the librarians while signing license agreements. The required data for carrying out the study was collected through google forms in view of COVID-19 situation around. All librarians were confident in signing license agreements without any legal help and most of them give importance to all aspects of license agreements. However, there is need of awareness among the librarians with respect to user rights while signing the license agreements. © 2021, Library Philosophy and Practice. All Rights Reserved.
La participación infantil, una estrategia para la formación del sujeto político en las infancias de Soacha

Girls and boys presented as free subjects, contributing to their education and development and thus, in their context; are the basis for reflecting on the reality within which it is pertinent to identify the multiple possibilities of participation with which and that at times are limited, unknown, aspects that become the problem of this article, for the purpose of presenting strategies carried out from the place of practice: Mobile classroom, which is carried out in some communities of the municipality of Soacha, to generate a socio-educational proposal that increases the levels of child participation and thus the training of the political subject. The research was carried out using the qualitative method, for which observation guides, surveys and interviews were established which allowed the analysis of data on child participation from the feelings of adults, parents, teachers in training, girls and boys. Based on the results obtained, the position is strengthened that, since some theoretical reviews, is exalted about the participation of children, which is not relevant to the adult population, after this aspect, the work in search of it to promote the formation of the political subject becomes more fundamental.
INTRODUCTION OF FORMATIVE EVALUATION OF STUDENTS IN THE EDUCATIONAL PROCESS OF PRIMARY SCHOOL

The article says that for many years, school assessment has been a tool for ranking students. With the change in the concept of the modern school, new approaches to the assessment of academic achievement are being introduced – from now on, assessment should be used to analyze individual progress and plan the individual pace of learning of each young person. The essence of the concept, which is based on the provisions of child-centered pedagogy, is explained – it is “formative assessment”. Forms, techniques, methods of formative assessment and ways of their use in lessons in primary school are revealed. Emphasis is placed on important elements of formative evaluation – self-evaluation and mutual evaluation. The point is that formative assessment consists of components that make it an effective tool for the process of individualization and improving the quality of learning; active participation of students in the process of their own learning; informing them about the learning objectives and assessment criteria; use of self-assessment and mutual evaluation according to the developed criteria; providing feedback that allows students to monitor their progress and identify further learning tasks and ways to accomplish them. It is directly related to a new understanding of the educational process, in which the student, along with the teacher, becomes an active subject of learning and involves the abandonment of rigid reporting and the development of new assessment practices. &nbsp
AUGMENTED REALITY (AR) MOBILE APPLICATION FOR PERFORMING ARTS PROMOTION

Augmented Reality (AR) is one of the big developments in technology right now. AR is an experience where designers enhance parts of users’ physical world with computer-generated input. Since the use of AR is getting bigger and be able to enhance the audience's interest so the study and implementation of the technology in boosting the promotion of performing art that is left behind needs to be done. In this paper, I will find the relevant study of the previous implementation of AR in the performing arts performance especially theater, and I also will conduct a study on what technique are relevant and must be done in order to successfully boosting the number or audience to come to the theater show using AR to enhancing the promotional poster as a method to attract more audience and increase the sales of the tickets. The data gathering process in this study will be conducted by two (2) ways which are interview and question air that focusing on the performing arts (theater) activist. The result of the acceptance of AR as a promotional tool also will be displayed in this paper. The result then will be analyses for implementing in future work.
Episode 21: Conversations Change Campbell (Vital Connections On Air)

Runtime (31:29). Note: Our Vital Connections On Air episodes are audio-based interviews. Written transcripts are generated using a combination of speech recognition software and human transcribers, and may contain errors. Please check the corresponding audio before referencing content in print.
Prioritizing MAT037 Chapter Importance Using Fuzzy Analytical Hierarchy Process

MAT037 is an intensive Mathematics course for pre-diploma students (Pre-Commerce) in Universiti Teknologi MARA. It is crucial for the lecturers to prepare proper planning on teaching the course. Six chapters contained in the course are arithmetic and algebra (C1), equation and function (C2), index and logarithm (C3), sequence (C4), introduction to applications of mathematics in business (C5), and introduction to statistics (C6). The objective of this research is to prioritize the importance ranking of the MAT037 chapters. The fuzzy analytical hierarchy process (AHP) is used to rank the chapters. The use of fuzzy AHP to produce the ranking helps the decision makers to make comparison of which chapter is more important than the other and the vagueness of the judgements is handled by the fuzzy basis which cannot be done by the classical AHP. The triangular fuzzy numbers are used to fuzzify the crisp values, and the centre of area defuzzification method is used at the end of the steps. The results show that C1 is the most important topic and C6 being the least important
LibGuides: Security Tools: Encryption and Security Certificates: Securing Your Devices

First in a series on security tools, this guide discusses encryption, security certificates, and Public Key Infrastructure
Research on Multidimensional Image Intelligent Matching Algorithm of Artificial Intelligence Image Recognition Technology

Image matching is a method of matching by analyzing the gray scale and texture information of the reference image and the image to be matched. Firstly, the scale invariant feature transform (SIFT) algorithm has long descriptor time and poor real time, a nonlinear dimension reduction method (LLE) based on local linear embedding is proposed to preserve the nonlinear information in the original data space as much as possible, shorten the running time of the algorithm, and improve the matching accuracy. Second, aiming at the problem that the Euclidean distance takes a large amount of calculation in the matching process, Manhattan distance is proposed to calculate the similarity between the reference image and the image to be matched, so as to further reduce the algorithm time. Through the improved LLE-SIFT algorithm, experimental results show that the algorithm has a high matching rate and improves the matching speed.
SynFace: Face Recognition With Synthetic Data

With the recent success of deep neural networks, remarkable progress has beenachieved on face recognition. However, collecting large-scale real-worldtraining data for face recognition has turned out to be challenging, especiallydue to the label noise and privacy issues. Meanwhile, existing face recognitiondatasets are usually collected from web images, lacking detailed annotations onattributes (e.g., pose and expression), so the influences of differentattributes on face recognition have been poorly investigated. In this paper, weaddress the above-mentioned issues in face recognition using synthetic faceimages, i.e., SynFace. Specifically, we first explore the performance gapbetween recent state-of-the-art face recognition models trained with syntheticand real face images. We then analyze the underlying causes behind theperformance gap, e.g., the poor intra-class variations and the domain gapbetween synthetic and real face images. Inspired by this, we devise the SynFacewith identity mixup (IM) and domain mixup (DM) to mitigate the aboveperformance gap, demonstrating the great potentials of synthetic data for facerecognition. Furthermore, with the controllable face synthesis model, we caneasily manage different factors of synthetic face generation, including pose,expression, illumination, the number of identities, and samples per identity.Therefore, we also perform a systematically empirical analysis on syntheticface images to provide some insights on how to effectively utilize syntheticdata for face recognition.
Computational Recovery of Information From Low-quality and Missing Labels

This chapter focuses on another type of missing data: the classification problem under missing data labels. Missing data labels is a common problem in the context of large-scale data analysis, which challenges traditional supervised learning methods. Especially in life science research, as the data labeling require a strong professional research background and expert experience, the lack of labels is an unavoidable problem for large-scale biological data. This chapter presents a robust information theoretic (RIT) model to reduce the uncertainties, i.e. missing and noisy labels, in general discriminative data representation tasks. The fundamental pursuit of our model is to simultaneously learn a transformation function and a discriminative classifier that maximize the mutual information of data and their labels in the latent space. In this general paradigm, we respectively discuss three types of the RIT implementations with linear subspace embedding, deep transformation and structured sparse learning. In practice, the RIT and deep RIT are exploited to solve the image categorization task whose performances will be verified on various benchmark datasets. The structured sparse RIT is further applied to a medical image analysis task for brain MRI segmentation that allows group-level feature selections on the brain tissues.
Comparative Study of OPAC, Web-OPAC and AIRPAC: Next Generation of Online Library Catalogues

The Online Public Access Catalogue (OPAC) changed the traditional card cataloguing trends in libraries. In the latest trend, library cataloguing information can be entered into the library integrated software and then the essential library information can be searched directly by OPAC system in the standard format. Nowadays, user can search for information on web via WEBOPAC and most recently, search in palm devices through AIRPAC anytime (24x7), during the day-night and from anywhere in the world. This study describes current trends, as well as the possibilities of the future library online public access catalogue and illuminated comparative study i.e. features, advantages, capabilities, requirement, development, limitation and many other things between OPAC, Web OPAC and Airpac library catalogues.
Design and Implementation of a Low-cost Irradiance - Temperature Data Logging Meter for Solar PV Applications

The rapid exhausting traditional energy sources and the contemporary constantly intensifying energy entreaty with respects to biological matters have reinforced concentrated research on solar energy novelty.Capturing maximum energy from the sun by applying photovoltaic solar technology is challenging.A limited feature that affect the solar energy harvest of such technology include the photovoltaic material, topographical area of solar irradiances, surrounding temperature and climate, the angle of sun and orientation of the panel.This work presents an automated and low-cost irradiance-temperature (W/m 2 ) logging meter, Low-Cost Sensor (Pyranometer) to measure Solar Irradiance in Nsukka, Nigeria.The core distinctive of this device is the low-cost of all its mechanisms.The design of this device is grounded on by means of temperature sensor DHT11 and phototransistor PT202C.This design was implemented for the periods of 90 days along with standard pyranometer and thermometer installed to two 250 watts photovoltaic (PV) solar panel similar at University of Nigeria, Nsukka.This device enhanced sensitiveness to solar irradiance, permitting a brilliant feedback of the device in a range from approximately 250 to 1200 x10 -9 m.This device incapacitates out dated complications in this kind of device and propositions comparable features to those of thermopile-based irradiance meter and, hence, can be used at all setting up where consistent sizing of solar isolation is required and the overall result indicates that the coefficient of correlation of the solar isolation gotten with the projected device is 0.9996.
Introduction to Data Science: Data Analysis and Algorithms with R, By RafaelIrrizarryBoca Raton, FL: CRC Press, 2020. Hard cover. pp. 711.

BiometricsVolume 77, Issue 3 p. 1131-1132 BOOK REVIEW Introduction to Data Science: Data Analysis and Algorithms with R, By Rafael Irrizarry Boca Raton, FL: CRC Press, 2020. Hard cover. pp. 711. Nairanjana Dasgupta, Nairanjana Dasgupta Director of Data Analytics Professor of Statistics orcid.org/0000-0003-4009-6281 Washington State UniversitySearch for more papers by this author Nairanjana Dasgupta, Nairanjana Dasgupta Director of Data Analytics Professor of Statistics orcid.org/0000-0003-4009-6281 Washington State UniversitySearch for more papers by this author First published: 28 September 2021 https://doi.org/10.1111/biom.13521 Correspondence Nairanjana Dasgupta, Director of Data Analytics, Professor of Statistics, Washington State University. Email: dasgupta@wsu.edu Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Volume77, Issue3September 2021Pages 1131-1132 RelatedInformation
Building a Smart Mirror for the Purposes of Increased Productivity and Better Mental Health, Complete with an App

Oftentimes, people find themselves staring in the mirror mindlessly while brushing their teeth or putting on clothes. This time, which may seem unnoticeable at first, can accumulate to a significant amount of time wasted when looked at over the duration of a year, and can easily be repurposed to better suit one’s goals. In this paper, we describe the construction and implementation of the Smart Mirror, an intelligent mirror that boasts several features in order to improve an individual’s daily productivity. As the name suggests, it is a mirror, and so will not take anything away from the user when he or she is performing their daily teeth brushing. It also hosts facial recognition, and can recognize one’s emotions from one glimpse through the camera. The Mirror also comes with an app that is available on the Google Play Store, which helps input tasks and daily reminders that can be viewed on the Smart Mirror UI.
The Application of GIS Technology in the Management and Development of Ho Chi Minh City

Because of the fact that the population is constantly increasing year by year in Ho Chi Minh City, the population data management, technical infrastructure as well as urban planning and development are facing many difficult challenges due to the lack of technology, human resources, methods which are too outdated with paper documents or software that are no longer suitable. Around the world, in major developed countries, the application of GIS technology has gradually become an indispensable trend in the management, planning and development of urban areas into smart, modern cities because of its outstanding advantages compared to the previous methods. This article examines common features of the GIS information system, thereby proposing practical applications of this technology to assist in the management, planning and development of Ho Chi Minh City, take another leap to reach the finish line to become the smartest and most modern city in Vietnam in the near future.
Fourier Space Losses for Efficient Perceptual Image Super-Resolution

Many super-resolution (SR) models are optimized for high performance only and therefore lack efficiency due to large model complexity. As large models are often not practical in real-world applications, we investigate and propose novel loss functions, to enable SR with high perceptual quality from much more efficient models. The representative power for a given low-complexity generator network can only be fully leveraged by strong guidance towards the optimal set of parameters. We show that it is possible to improve the performance of a recently introduced efficient generator architecture solely with the application of our proposed loss functions. In particular, we use a Fourier space supervision loss for improved restoration of missing high-frequency (HF) content from the ground truth image and design a discriminator architecture working directly in the Fourier domain to better match the target HF distribution. We show that our losses' direct emphasis on the frequencies in Fourier-space significantly boosts the perceptual image quality, while at the same time retaining high restoration quality in comparison to previously proposed loss functions for this task. The performance is further improved by utilizing a combination of spatial and frequency domain losses, as both representations provide complementary information during training. On top of that, the trained generator achieves comparable results with and is 2.4x and 48x faster than state-of-the-art perceptual SR methods RankSRGAN and SRFlow respectively.
Optimization of a cavity-QED system for fast two-qubit gates

Cavity quantum electrodynamics (cQED) enables deterministic controlled gates between neutral atom and photon qubits, such as the controlled phase flip (CPF) gate [1] , which is a key component for implementing quantum computation. The gate fidelity drops sharply when the length of an input-photon pulse is shorter than the inverse of the bandwidth of a cavity, because of the distortion of the output pulse. This limits the operational speed of the gates. One way to boost the limit of gate speed may be to reduce cavity length, since this increases the bandwidth of the cavity with keeping high cooperativity [2] .
SenticNet-Based Feature Weighting Scheme for Sentiment Classification

Sentiment analysis aims to study the peoples’ perceptions, sentiments and emotions in comments, blogs, review and so on. The performance of classifier can be improved by the use of efficient feature weighting schemes. The existing feature weighting schemes are based on frequency. They do not consider the meaning of the words for weighting. This leads to the degradation in the performance of machine learning algorithms. To address this issue, in the current study, SenticNet is used. SenticNet is a sentiment lexicon resource extracted from ConceptNet consisting of the polarity value in a range from − 1 to + 1. Classifiers like Naive Bayes and support vector machine are used to classify the reviews. The performance of SenticNet and existing feature weighting schemes are evaluated for sentiment classification. From the experiments conducted, it is found that SenticNet-based feature weighting scheme outperforms the existing schemes like binary, TF and TF-IDF.
Preface: The 6th International Conference on Basic Sciences 2020 (ICBS 2020)

First Page
Task Scheduling Algorithms for Cloud Computing: A Critical Review and Open Research Challenges

Cloud computing is the most preferred platform to access resources remotely. The benefit of cloud computing over traditional computing techniques is that it provides on-demand services and serves millions of users at the same time. However, scheduling the tasks of users is quite crucial in cloud computing. To overcome this challenge, various task scheduling algorithms have been designed for cloud computing. In this paper, we have done a critical review of various traditional and metaheuristic algorithms based on task scheduling algorithms. The critical review shows that the metaheuristic algorithms are better than traditional algorithms to find the optimal scheduling of the task. Besides that, based on the study, we have defined the open research challenges of the metaheuristic algorithms that help other authors to contribute their research in this field.
LibGuides: Brightspace Training & Support : Campus Faculty: Dropbox

Brightspace support guides for faculty teaching in our campus programs. The guide on this page provides information on all things Dropbox, such as how to create a Dropbox folder, edit due dates, add existing rubrics, grade in Dropbox, and more!