Reviewerly/exHarmony huggingface dataset:
Analysis of Adequate Bandwidths to Guarantee an Electoral Process in Ecuador

The analysis of the appropriate bandwidths was made based on the electoral processes in countries with availability of electronic voting and these have been adapted to the situation in the electoral processes of Ecuador. The problem is the low importance given and the recidivism in the scarce bandwidth used in the current electoral processes. The objective reflects the problems caused by a mediocre bandwidth for events of such magnitude and importance in any country and creates awareness of the appropriate conditions to guarantee all aspects of the electronic process. The method used is deductive to analyze the data that were used as parameters to calculate the bandwidth in the electoral process in Nigeria. The analysis shows that the voting processes up to the 2017 period have not been optimal, but they are sustainable and acceptable despite the fact that there were setbacks when issuing the results of the votes. It is concluded that there must be simulations to avoid failures at the time of the actual electoral process and improve resources for the implementation of electoral processes.
PROPOSING A NEW GRADUATE DEGREE IN DATA ENGINEERING AND ANALYTICS

The proposed program is a 30-credit hour program, which will be delivered as an asynchronously online, part-time program to allow students to complete coursework at their own pace making this program ideal for adult learners who work full time.It is intended for individuals who desire to be responsible for the creation and maintenance of analytics infrastructure.Data Engineers create data architectures and data sets used in data science and analytics.This program draws from constructs found in information systems, data analytics, database modeling and administration, data architecture, business intelligence, management, and security.The proposed curriculum is presented.
CS Connections

Computer Society (IEEE CS) Charles Babbage Award for his "outstanding contributions in the areas of parallel computing languages, algorithms, and technologies for scalable distributed applications.
Anàlisi de les possibilitats d''integració de les dades d''ús de les biblioteques a sistemes d''informació universitaris.

Li n ki ng sociaL capitaL to knowLe dge productivityWhy are some networks more successful in achieving innovation than others?Why do some groups within organizations manage to operate without hierarchical boundaries, and at the same time achieve extraordinary, innovative results?How do they learn?And what kinds of network characteristics do they cherish?This book presents the process and findings of a four-year PhD study on these questions.With empirical data of more than seventeen networks a theoretical framework is presented in which characteristics of social capital are linked to knowledge-productive learning processes.This book invites you to connect to the world of social capital, participative research and innovative learning and at the same time offers a practical guide to get started within your own social network.
Anatomical Sciences Education Vol. 13, Issue 5, 2020 Cover Image

Anatomical Sciences EducationVolume 13, Issue 5 p. C1-C1 Cover ImageFree Access Anatomical Sciences Education Vol. 13, Issue 5, 2020 Cover Image First published: 27 August 2020 https://doi.org/10.1002/ase.2010AboutPDF 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume13, Issue5September/October 2020Pages C1-C1 RelatedInformation
Preface

It is a great privilege for us to present the proceedings of ICET 2019 to the authors and delegates of the event. The 4th International Conference on Engineering Technology 2019 (ICET 2019) took place at Darul Iman Training Center (DITC), Teluk Kalong, Kemaman, Terengganu, Malaysia on 6th - 7th July 2019. We hope that you will find it useful, exciting and inspiring. Skills and knowledge are vital components for economic growth and social development in responding more effectively and prompter towards challenges and opportunities of globalisation. The primary objective of this conference is to provide a platform for researchers, engineers, academicians and practitioners from all over the world to share their latest research findings, ideas, development and applications of engineering technology as well as to establish potential networking amongst the delegates and technical experts. The responses to the call-for-papers had been overwhelming – both from within Malaysia and overseas. Unfortunately, many manuscripts from prestigious institutions could not be accepted due to review outcomes and our constraints. Nevertheless, we would like to express our gratitude and appreciation for all reviewers who have assisted us in maintaining high quality manuscripts including those published by IOP. We would also like to extend our gratitude to the members of the organizing team for their hard work. We are now optimistic and full of hope about getting the proceedings of ICET 2019 published by IOP and Scopus in due course. We appreciate that the authors of ICET 2019 may want to maximize the popularity of their papers. Thus, we will try our best to support them in their endeavours. Conference Technical and Publication Dr Mohamad Redhwan bin Abd Aziz, TATI University College (TATIUC), Malaysia On behalf of ICET 2019 Conference Committees 6-7th July 2019 Terengganu, Malaysia
Switching hybrid recommender system to aid the knowledge seekers

In our daily life, time is of the essence. People do not have time to browse through hundreds of thousands of digital items every day to find the right item for them. This is where a recommendation ...
LibGuides: Library Research Skills: Finding Print Books: BC Library Layout

This LibGuide has the same content as the Finding Print Books module your professor may have in Canvas.
UVM Libraries Research Guides: Connecting to Library Resources: Where do you think I am?

Tips and tricks for connecting to the library's online journals and databases from anywhere in the world.
Facilitating a Scientific Approach to the Datafication of Society on Twitter, or: How to Catch a Tweeting Bird

In times of increasing societal significance of public discourse on social media, questions surrounding the possibilities of access to the data generated are becoming ever more pressing. Using the example of the short message service Twitter, the article describes not only how everyday individual observations can be recorded on social media, but also the changes to which the availability of socially relevant information is subject, if society has only selective access to it and modes of access are being transformed generally: digital data requires for its generation, storage and analysis – especially that of large amounts of data – the technical system of the computer, which selects data according to particular observational interests and allows it to appear in a new context.
The Analysis of Experimental Data Obtained by Microfiltration of Natural Water

The analysis of experimental data obtained by microfiltration of natural water George Bibileishvili, Liana Kuparadze Engineering Institute of Membrane Technology of Georgian Technical University, 0159, Tbilisi, Vashlijvari, Topuridze II exit1, Georgia *Coressponding author: E-maillianakuparadze@mail.com  Abstrac t In the work the micro-filtration processes in fresh natural waters are considered. The effect of the variation of the height of the forcing chamber on the membrane flux of the pure water as well as the problem of extrapolation of the relationship between various turbidity of model solutions and productivities were studied. By means of experimental curve of mentioned relationship the analytical view at extrapolation curve was established. It has been found that at baromembrane filtration the various turbidity of the model solutions determines the variation of asymptotic values of flux of the pure water. The efficient regulation and further prediction is possible in the conditions of the variation of the height of forcing chamber at equal energetic consumption. By experimental results it was established that in the course of baromembrane filtration in the range of various turbidity from 1 to 40 NTU the extrapolation curve of the relationship between asymptotic values of model solutions and flux of the pure water represent square paraboloid. Reserch process was carried out on laboratory scale. Flux of the pure water was determined end experimentally at laboratory plant Turbidity of model solutions was by measured turbidity measurer.
Convolutional Neural Networks mit Keras

No AccessMaschinelles LernenNov 2020Convolutional Neural Networks mit KerasJörg FrochteJörg FrochteSearch for more papers by this authorhttps://doi.org/10.3139/9783446463554.011SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2020Pages: 352-404Print ISBN: 978-3-446-46144-4eISBN: 978-3-446-46355-4 Copyright & Permissions© 2021 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Facial beauty prediction via deep cascaded forest

Facial beauty prediction (FBP), which is a prediction based on the classification of human facial beauty, has been applied in some social platforms and entertainment software. However, among the various approaches to FBP, methods based convolutional network is too complicated, and traditional methods cannot achieve the desired performance. In this paper, we propose a method for FBP via deep cascade forest. This method uses multi-grained scanning to obtain the features of the image, and uses multiple random forests to enhance the features. Then multiple classifiers to form a new classifier, which is used for predicting the acquired features to complete the FBP task. This method shows the advantages of feature extraction and relatively high prediction accuracy in 10,000 facial beauty datasets (10TFBD). And we are optimised for the cascade forest part and further improved the prediction accuracy. Our experiments demonstrate the effectiveness of FBP tasks.
სწავლა/სწავლება და ციფრული ტექნოლოგიები

Abstract: The 21st century is facing the modern challenges. Education and teaching have changed along with the everyday way of life. Electric-technological equipments have replaced the traditional way of working on paper. Since 2005 the Georgian Ministy of Education, Science, Culture and Sports have contributed to the Georgian schools with computers and as a result, by 2010 almost all schools in Georgia had been computerized.According to the Ministry, the use of the technology helps the pupils to show and improve the capacities that aim at the active use of the acquainted knowledge and that promote the personal skills of independent research.Through the introduction and application of information technology in teaching, a teacher can change the content, mathods and forms of organization that promote critical and creative thinking in class. The computerization project has been successfully introduced, but the ministry lacks the result of monitoring as the research in this term requires the definitions of different components.According to the National Assessment and Examinations Center, the number of the failed participants of the Entrance exams is increasing every year.On the basis of empirical study, we point out the results of the national school computerization project including the issue of the derived problem the pupils’ health.
Explorative Analysis of Compact Representation of Imbalanced Text Documents for Effective Classification

The flood of text data over the internet day today, posing many challenges in the text classification system. The enormous amount of text data leads to high computation cost due to its volume and large dimension. The text representation is one such challenge; it strikes the performance of the text classification system. Hence there is a great need in the reduction of text volume and its dimension to improve the text classification system. In this paper, we have done an empirical study on representing the text in a compact form in two ways. The first one with sample reduction first and followed by dimensionality reduction by employing a   feature selection method. The second method by using feature reduction based on feature transformation method and fallowed by sample reduction using clustering technique. The data is represented in the form of symbolic representation and also without symbolic representation to compare the effectiveness of compact form. The symbolic classifier and SVM classifiers are employed to classify the text documents. The efficiency of the proposed model is evaluated using performance measures on two benchmark datasets such as Reuters-21578 and TDT2.
Integrating cloud computing across existing computer and information science courses

The Gartner group [3] notes that most in the IT industry will be using cloud-based resources in 2020 and that future use of cloud computing is only expected to grow. Furthermore, 75% of surveyed or...
Reversible Selective Embedding for DICOM Image Security and Integrity using Visual Cryptography

Information security has been one of the biggest challenges in the era of telemedicine applications. To protect the patient's private records in medical images, several traditional methods are used...
Time-Course Analysis and Clustering of Gene Expression Data

Author(s): DeGraaf, Stephanie | Advisor(s): Purdom, Elizabeth | Abstract: High-throughput time-course studies collect measurements from samples across time. Inparticular, longer-duration high-throughput time-course studies are becoming more common, such as in the case of 16S sequencing of bacterial communities or single-cell mRNA sequencing of developmental lineages. A common focus of these studies is on significancetesting per gene. However, in many settings, particularly those studying developmental processes, large numbers of genes show temporal changes, and the relevant question is instead to classify genes into different types of temporal changes. We propose a mixture-model clustering method that estimates a functional spline model for the mean of the cluster, inorder to cluster the temporal patterns of genes independent of scale. The model allows fora wide range of likelihood models to suit a variety of data types. In addition, this clusteringstrategy accounts for time-course data under different experimental conditions or developmental lineages, and it provides a method for evaluating, per cluster, significant differences in temporal patterns between conditions. This allows for an integrated analysis of differential expression analysis and clustering. We demonstrate the benefits of our method using simulated data. In addition, we explore several real data sets to illustrate both the context for and the application of the mixture model.
SKRINING GULA DARAH SEWAKTU (GDS) DAN KADAR ASAM URAT PADA MASYARAKAT MENDALO DARAT DI POLIKLINIK PINANG MASAK UNIVERSITAS JAMBI

ABSTRACT&#x0D; Diabetes and Gout Arthritis are diseases where the number of sufferers has increased quite high every year. Both diseases are very much influenced by a person's diet and lifestyle. The low level of public interest in doing regular screening of blood sugar and blood uric acid levels as indicators to determine the incidence of diabetes and gout arthritis are one of the factors in the increasing number of these diseases from year to year. The reasons for this reluctance were varied, starting from the aspect of cost, affordability to the location of the inspection, limited infrastructure and time aspects. For this reason, community service activities are necessary to facilitate this. This activity was carried out on September 1, 2020, in the form of checking blood sugar and uric acid levels in the Mendalo Darat community and UNJA staff / lecturers at the Pinang Masak Polyclinic, Jambi University. This activity uses the easy tauch digital tool and after that, participants can consult with the health workers we have prepared and also receive treatment if their blood sugar and uric acid levels exceed normal limits. The number of participants who took part in this examination were 104 people from the community, employees and lecturers in the UNJA environment. This activity is carried out by implementing strict health protocols related to the prevention of Covid-19 transmission. From the results of blood sugar tests, 9% were in the abnormal category and 43% were in the abnormal category for uric acid tests. &#x0D; &#x0D; Key words: blood sugar levels, uric acid levels
Variant-based Equational Unification under Constructor Symbols.

Equational unification of two terms consists of finding a substitution that, when applied to both terms, makes them equal modulo some equational properties. A narrowing-based equational unification algorithm relying on the concept of the variants of a term is available in the most recent version of Maude, version 3.0, which provides quite sophisticated unification features. A variant of a term t is a pair consisting of a substitution sigma and the canonical form of tsigma. Variant-based unification is decidable when the equational theory satisfies the finite variant property. However, this unification procedure does not take into account constructor symbols and, thus, may compute many more unifiers than the necessary or may not be able to stop immediately. In this paper, we integrate the notion of constructor symbol into the variant-based unification algorithm. Our experiments on positive and negative unification problems show an impressive speedup.
Analyzing Stylistic Variation Across Different Political Regimes

In this article we propose a stylistic analysis of texts written across two different periods, which differ not only temporally, but politically and culturally: communism and democracy in Romania. We aim to analyze the stylistic variation between texts written during these two periods, and determine at what levels the variation is more apparent (if any): at the stylistic level, at the topic level etc. We take a look at the stylistic profile of these texts comparatively, by performing clustering and classification experiments on the texts, using traditional authorship attribution methods and features. To confirm the stylistic variation is indeed an effect of the change in political and cultural environment, and not merely reflective of a natural change in the author’s style with time, we look at various stylistic metrics over time and show that the change in style between the two periods is statistically significant. We also perform an analysis of the variation in topic between the two epochs, to compare with the variation at the style level. These analyses show that texts from the two periods can indeed be distinguished, both from the point of view of style and from that of semantic content (topic).
IMPLEMENTASI METODE RANDOM FOREST UNTUK PREDIKSI POSISI METILASI PADA SEKUENS PROTEIN

Post-Translational Modification (PTM) is very important to the regulate the cell. One of the popularPTM is methylation which occur acid arginine. Arginine methylation carries out and regulates severalimportant biological functions, including gene regulation and signal transduction. Experimental identificationof arginine methylation sites is a daunting task because it is expensive and requires more time and energy.Therefore reliable predictions play an important task in predicting quickly and identifying possible methylationsites in proteomes. In the study using the Random Forest method which is one of the data mining techniquesfor classification, and previously performed feature extraction, feature extraction used is CTD, PseAAc, AAindex and QSO by using the protr and bioseqclass packages in the r programming language. and obtained138 variables. This study has 3 types of experiments, training set in 1:1 ratio, Testing data set and Independentdata set. The prediction perform reasonably well with the highest accuracy obtained in the Independent Dataexperiment that is equal to 98.08%, while for Training Data the ratio of 1: 1 gets 93.76% and Testing gets thelowest accuracy that is equal to 80.32%.
Single-photon pulse transport in a waveguide coupled with a quantum system

We study the transmission and reflection properties of a single-photon pulse in a one-dimensional waveguide side coupled with a Jaynes-Cummings system, namely, a multi-cavity with an embedded Rydberg atom. A Single-photon pulse is applied to tune the atoms energy spectrum, and varying it can bring the atomic qubit transition on or off-resonance for the cavity. The transmission and reflection behavior are systematically explored by a real-space model Hamiltonian and we find that the coupling strength between the waveguide and the side optical cavity exerts a tremendous impact on it. The influence of cavity and atomic dissipations and the incident pulse width on the transport properties of the single-photon is also investigated simultaneously. Based on these phenomena, we point out the possibility of utilizing this system as a single-photon transport in practice and has potential applications in quantum information.
Guides: Library Resources for Social Distancers: Homebound?

The Library is a refuge during stressful times. We are here to provide services and resources straight from home. How to manage work and study now that you're home
High-dimensional profile analysis

The three tests of profile analysis: test of parallelism, test of level and test of flatness have been studied. Likelihood ratio tests have been derived. Firstly, a traditional setting, where the s ...
Penggunaan Google Dokumen Dan Zoom Breakout Room Sebagai Media Diskusi Kelompok Dalam Pembelajaran Daring

In the conditions of the COVID 19 pandemic, learning has to be directed online, causing various polemics in realizing active learning from students, especially in group discussions, so that media is needed that is very supportive of the learning process. From so many platforms in online learning such as zoom meetings, jitsi meetings, edmudo, schoology, Bali trail to the Ministry of Education and Culture's learning house and google, including google (gmail), drive, google meet, google classroom, google form, slides, spreadsheets, documents. To present group discussions, the online zoom meeting application and google documents were chosen. What is reviewed by the author uses the literature review method in order to get a written source to learn the right way to use it. In the Zoom Breakout Room students are given leeway to communicate in spoken language with the group in solving problems given by the teacher, which is before the discussion is held, the teacher uses the Zoom Breakout Room to automatically determine the members of each group. And for google documents, it is used to communicate with group members in compiling a problem report given by the teacher in written language and here it also shows the activeness of students in group discussions.
Detection of walking features by using IMU attached cane

Monitoring the walking ability in daily life is important for rehabilitation and keeping motivation for health. In this study, to develop a system to monitor the walking ability of cane users, we propose a method to detect the walking motion using an IMU sensor attached on the cane and to analyze the walking parameters for evaluating the walking ability. We detected the initial contact and terminal contact of the cane using jerk and angular jerk from the IMU sensor. We measured the walking of the cane users, and found variations of the cane angles of initial contact and terminal contact and time on ground of the cane might related to walking ability.