Reviewerly/exHarmony huggingface dataset:
PENERAPAN SENSOR GAS PADA PERANCANGAN APLIKASI PENDEKTEKSI ALKOHOL PADA NAFAS MANUSIA

At the present time the alcohol was rampant among the general public, especially among teenagers today. When compared to users of alcohol by adults, the frequency of alcohol by adolescents known to more frequent and more volume so that users of alcohol in adolescence has been considered very dangerous. Youth activities in the faster growing alcohol consumption, most likely related to activities that are less positive. In the most recent term of binge-drinking (binge drinking) is defined as consuming five or more alcoholic drinks in a row at least once in the span of two weeks. The use of alcohol is becoming a major contributor to the cause of death today's youth such as accidents, suicides, and murders. Motor vehicle collision accidents top the cause of death of teenagers today. Adverse effects were also recorded other is mentally and physically disabled adolescents themselves.Some factors due pemyebab alcohol on teens psychologically include lack of passion spirit (mood disorders), especially depression, anxiety and phobia lack of focus or concentration to be disturbed behavior or character. In this issue the family plays an important role in the development of alcohol problems in adolescents.In writing this essay, the author tries to make an application hardware. The author makes an application hardware that can mendekteksi alcohol in human breath. The system design tools work is expected to help determine the alcohol contained in the breath of humans in order to determine how much alcohol is consumed. Keywords : Detector, Alcohol, Sensors, Gas.
Ideology Detection of Personalized Political News Coverage

Words selection, writing style, stories cherry-picking, and many other factors play a role in framing news articles to fit the targeted audience or to align with the authors' beliefs. Hence, reporting facts alone is not evidence of bias-free journalism. Since the 2016 United States presidential elections, researchers focused on the media influence on the results of the elections. The news media attention has deviated from political parties to candidates. The news media shapes public perception of political candidates through news personalization. Despite its criticality, we are not aware of any studies which have examined news personalization from the machine learning or deep neural network perspective. In addition, some candidates accuse the media of favoritism which jeopardizes their chances of winning elections. Multiple methods were introduced to place news sources on one side of the political spectrum or the other, yet the mainstream media claims to be unbiased. Therefore, to avoid inaccurate assumptions, only news sources that have stated clearly their political affiliation are included in this research.
Gaussian Process Modeling for Upsampling Algorithms With Applications in Computer Vision and Computational Fluid Dynamics

Author(s): Reeves, Steven Isaac | Advisor(s): Lee, Dongwook | Abstract: Across a variety of fields, interpolation algorithms have been used to upsample lowresolution or coarse data fields. In this work, novel Gaussian Process based methodsare employed to solve a variety of upsampling problems. Specifically threeapplications are explored: coarse data prolongation in Adaptive Mesh Refinement(AMR) in the field of Computational Fluid Dynamics, accurate document imageupsampling to enhance Optical Character Recognition (OCR) accuracy, and fastand accurate Single Image Super Resolution (SISR). For AMR, a new, efficient,and “3rd order accurate” algorithm called GP-AMR is presented. Next, a novel,non-zero mean, windowed GP model is generated to upsample low resolution documentimages to generate a higher OCR accuracy, when compared to the industrystandard. Finally, a hybrid GP convolutional neural network algorithm is used togenerate a computationally efficient and high quality SISR model.
TOWARDS`CYCLIC RECURRENCE AS A DEVELOPMENT PRYNCIP

My report addresses the question of cyclicality in every process, including music. Opinions on the subject of such authors as Plato, HenrichOrlov, Erich von Deniken, Richard Wagner, Alexander Fol, Tommy Carklisiiski and others are quoted. Parallel comparison of processes leads to the conclusion that in every area there is a similar pattern. Here are represented the internal and external factors that lead to it. The question of relations between elitist and mass arts has. There are also signs of cyclicity in different epochs and the reactions of the then-creators to them. Comparing this pattern leads to the conclusion that cyclicality, in the most remote areas, is related to regularities in every development, including education. The crucial issue with the readiness of the audience, the mass audience and the elite listener is considered. The approaches and perspectives of different ancient philosophical schools on the issue of cyclicality are examined. Attempts have been made to maintain the achieved level of development and cultural gradation. The topic opens the way for scientific research on the issues of cyclicality, which could be developed in both individual arts and synthesis. Of course, research on cyclical processes and science, especially in its fields such as medicine, physics, science, and many others, can make a significant contribution to further justifying this pattern.The acceleration of cycles is easily noticeable if we compare the conditional division of epochs into artistic trends and the change of ideas and concepts from the ten-century Middle Ages to the 20th Century with its growing variety of styles, experiments, and creative quests.Тhe model of the three stages of development of Ancient Greece - Barbarian, Classical and Hellenistic, is applied as an example in the cyclical development of each civilization, style, artistic flow, and so on. Such a division is completely conditional, but it can be considered a model to the thesis.Weinic's theory of chronological fields is accepted as a starting point, but others can be applied if we continue with the research on the future function of artistic ideas on a cyclical basis.One of the forms of a cyclical manifestation is the repeated Renaissance manifestations in art or a number of Renaissance, which repeat the phenomenon of Renaissance in another form and in the context of another age. Thus, the question of cyclicality can adopt its own laws from already established historical models.The thesis aims to identify the ways to consider otherwise well-known artistic or aesthetic phenomena in terms of cyclicality as a structural point of view.The structure thus structured gives clarity and perhaps an opportunity to anticipate certain phenomena in the arts and their development.
Saffron: A Data Value Assessment Tool for Quantifying the Value of Data Assets.

Data has become an indispensable commodity and it is thebasis for many products and services. It has become increasingly important to understand the value of this data in order to be able to exploit itand reap the full benefits. Yet, many businesses and entities are simplyhoarding data without understanding its true potential. We here presentSaffron; a Data Value Assessment Tool that enables the quantification ofthe value of data assets based on a number of different data value dimensions. Based on the Data Value Vocabulary (DaVe), Saffron enables theextensible representation of the calculated value of data assets, whilstalso catering for the subjective and contextual nature of data value. Thetool exploits semantic technologies in order to provide traceable explanations of the calculated data value. Saffron therefore provides the firststep towards the efficient and effective exploitation of data assets.
Visualization and Analysis of 3D Images Using Data Mining Approaches

With the recent advancements in supercomputer technologies, large-scale, high-precision, and realistic model 3D simulations have been dominant in the field of solar-terrestrial physics, virtual reality, and health. Since 3D numeric data generated through simulation contain more valuable information than available in the past, innovative techniques for efficiently extracting such useful information are being required. One such technique is visualization—the process of turning phenomena, events, or relations not directly visible to the human eye into a visible form. Visualizing numeric data generated by observation equipment, simulations, and other means is an effective way of gaining intuitive insight into an overall picture of the data of interest. Meanwhile, data mining is known as the art of extracting valuable information from a large amount of data relative to finance, marketing, the internet, and natural sciences, and enhancing that information to knowledge.
LibGuides: General Information Management: News & Magazines

This guide is for the NCU specialization General Information Management. It contains resources available in the NCU Library.
Petrogenesis and Tectonic Setting of the Basement Rocks around Irruan Area, Bamenda Massif, SE Nigeria

The basement rocks around Irruan in southern Obudu Plateau, southeastern Nigeria were studied using field mapping and geochemical data. Both igneous (granodiorite and biotite granite) and metamorphic rocks (granite gneiss, banded gneiss and migmatite gneiss) were mapped in the area. The rocks are generally quartzofeldspathic and range from alkali-calcic to calc-alkali. Fairly strong negative correlation exists between Al2O3 and Na2O with SiO2 as well as between Al2O3 and Fe2O3. The magma source for the Irruan granitoids is continental as indicated by the high SiO2 content (≥70.11 wt.% except the biotite granite that records 61.10 wt.% of SiO2) and discriminant plots for the area. A sedimentary protholith has been interpreted for the gneissic rocks. Magmatism in the area commenced during the later stages of the Pan-African orogeny and continued much into the post-orogenic period, leaving behind, imprints of syn-collosional and post-orgenic tectonic settings.
“Pool of Toys”: Multimodal Visual Music Rendering of Sequenced and Real-time Control Events

The goal of this study is to display music visually to aid recognizing each component, enjoying music not just aurally but visually as well. Elements of western music comprise multiple aspects (e.g., rhythm, melody, harmony, and orchestration). To express them, we introduce a “live song” called “Pool of Toys.” A pool filled with toys is used as a motif in a game engine (Unity). A multitimbral song including musical elements was created using DAWs (GarageBand and then Ableton Live). Each part is imported as a MIDI track into Unity, controlling the attributes of visual elements (floating toys) at runtime. A surface grid controller (Launchpad Pro) is used at runtime along with the precomposed music so that performers can synchronously play the MIDI terminal with output displayed in realtime.
IMPLEMENTATION K-NEAREST NEIGHBOR AND LINEAR DISCRIMINANT ANALYSIS METHOD FOR CLASSIFICATION TYPE OF WORKS IN JAKARTA

In this study, explaining how to implement the classification of types of work in DKI Jakarta using the K-Nearest Neighbor and Linear Discriminant Analysis methods. Types of work are grouped by occupation. After testing the classification of work types, the results of testing accuracy are 50% for the Linear Discrimant Analysis Method and 32% for K-Nearest Neighbor.
A scale space model of weighted average CNN ensemble for ASL fingerspelling recognition

A sign language recognition system facilitates communication between the deaf community and the hearing majority. This paper proposes a novel specialised convolutional neural network (CNN) model, SignNet, to recognise hand gesture signs by incorporating scale space theory to deep learning framework. The proposed model is a weighted average ensemble of CNNs – a low resolution network (LRN), an intermediate resolution network (IRN) and a high resolution network (HRN). Augmented versions of VGG-16 are used as LRN, IRN and HRN. The ensemble works at different spatial resolutions and at varying depths of CNN. The SignNet model was assessed with static signs of American Sign Language – alphabets and digits. Since there exists no sign dataset for deep learning, the ensemble performance is evaluated on the synthetic dataset which we have collected for this task. Assessment of the synthetic dataset by SignNet reported an impressive accuracy of over 92%, notably superior to the other existing models.
ppF: sensation of a person in space/Chry&Co

The painter print is a new visual art form that captures the reality of the digital world. It was invented by Doctor Watson Architects in 2020 as part of their on-going project of Incomplete Works.
Attentional demand estimation with attentive driving models

The task of driving can sometimes require the processing of large amounts of visual information; such situations can overload the perceptual systems of human driversleading to ‘inattentional blindness’, where potentially critical visual information is overlooked. This phenomenon of ‘looking but failing to see’ is the third largest contributorto traffic accidents in the UK. In this work we develop a method to identify these particularly demanding driving scenes using an end-to-end driving architecture, imbued witha spatial attention mechanism and trained to mimic ground-truth driving controls fromvideo input. At test time, the network’s attention distribution is segmented to identifyrelevant items in the driving scene which are used to estimate the attentional demand onthe driver according to an established model in cognitive neuroscience. Without collecting any ground-truth attentional demand data - instead using readily available odometrydata in a novel way - our approach is shown to outperform several baselines on a newdataset of 1200 driving scenes labelled for attentional demand in driving.
Information Space and Information Process:Genesis and Evolution

In this article,the phenomenon of "information space" and its methods of study, its types, elementary structure and qualitative characteristics are discussed, the author's definition of the concept of "information" is given, the structure of the information process, and the phases, which are the basis for the evolution of the information space and the universe of human activity, are considered.
DSC Library: Online Communication: Home

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Research Guides: Welcome Introduction to Lewis Library: Searching in the Library

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A Model on Implementing Data Integrity in Cloud Environment

Cloud computing has become an integral part of any organization or individual as it provides infinite computing resources and storage facilities of large quantity of data over internet. These remote storage of data over cloud allows individuals or organization to deal with the data effectively with universal data access. While these advantages are more appealing, there exist some drawbacks as well which makes more concern to the cloud users. Data privacy and unlicensed user access is the main threat in the cloud storage system. To maintain the reliability and the security of the user data Remote auditing service by a third person is introduced in the internet world. Even though TPA improves data security to a higher extend, still various problems exist like computational complexity, time consumption also regarding the third party auditor authorization. Generally, TPA access the user data to check for data integrity which itself can become a threat to personal information. This can be overcome by providing authentication to TPA to access the data in the server with specific instructions of credentials which user can share with the auditor.
LibGuides: Tech Tips: Home

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Research Guides: Basic Math: PrepSTEP - Core Math

This Research Guide provides links to practice problems as well as information about how to find books, e-books, videos and websites that teach basic math concepts.
LibGuides: Online Training Resources for Faculty/Staff: Personal/Professional Development

Compilation of many of the online training sessions available while we are away from campus. Some sessions will be more applicable for library employees, many will be applicable for everyone
Verification of the Relationship among Perceived Freedom, Psychological Happiness, and Life Satisfaction in Office Workers’ Participation in Mindfulness Activities

The purpose of this study is to verify the relationship among perceived freedom, psychological happiness, and life satisfaction in office workers’ participation in mindfulness activities. The participants of this study consisted of 285 customers who participated in mindfulness activities from classes for office workers in Seoul and Gyeonggi City. SPSS 21.0 and AMOS 22.0 were used in the structure equation model analysis.BR The results are as follows. First, the perceived freedom of the office worker participants showed positive influence in psychological happiness. Second, psychological happiness of the office worker participants showed positive influence in life satisfaction. Third, Perceived freedom of the office worker participants showed positive influence in life satisfaction.
Income Distribution and Growth Process in Sub-Saharan Africa

Sub-Saharan Africa (SSA) is one of the regions of the world that exhibits high disparities in income distribution. Income inequality has remained ubiquitous and pronounced across countries in the region, with Sub-Saharan Africa ranking closely behind Latin America as the second most unequal region globally. This paper specifically investigates the effect of disparities in income dispersion on economic growth in SSA countries from 1995-2015 using the Blundell-Bond panel estimation procedure. Results from our analysis generally indicate that income inequality has a consistent, direct and significant noxious effect on growth, implying that income inequality stifles growth in the region.
LIGHTS AND SHADOWS OF THE INVOLVEMENT OF THE SUPERFICIALLY UNDERSTOOD PROCEDURES, IN THE TEACHING-LEARNING PROCESS: doi>10.24250/JPE/1/2020/RMN

The teaching methodology represents a concern of an important number of publications. This paper reiterates the issue from a curriculum point of view and with highlights of manners of implying the methodology of teaching into the nowadays educational and instructional process.A brief presentation of the place and the role of teaching methodology within the learning situation context is the topic of the first part of the paper. A second part details some consideration about classical and modern in teaching methodology focused on learning. A special focused is given for the debates on the lights and shadows of the instruction with less of without guidance. This is based on a brief presentation of what the specialty literature presents. Final considerations stemming from a long term practice in the educational field on all its levels highlight some ideas about the dangerous effects of exclusive methodological approaches in teaching.  A personal opinion is presented. The paper intends to debate an important aspect of educational practice: the tendency to work according to what it is fashionable and not genuinely taking into consideration the real aim of the instructional process: developing effective competencies of the representatives of the new generation, aiming to build a more effective future of human society.The day to day reality shows as being really important to be concern about the wrong focuses of the new educational practices.
DSC Library: Online Communication: Texting Tips

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LibGuides: Technology Tools for Teachers: Home

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Research Guides: Basic Math: Videos / Websites

This Research Guide provides links to practice problems as well as information about how to find books, e-books, videos and websites that teach basic math concepts.
Virtual Tour Application Of Natural Tourism In Bandar Lampung City Based On Android

Bandar Lampung is the capital of Lampung province on the island of Sumatra, Indonesia. Bandar Lampung has a variety of natural attractions such as beaches, hills, zoos and others. Natural attractions in Bandar Lampung include Wira Garden Tourism Park, Lembah Hijau and Bumi Kedaton. The three tourist attractions have a very large land and a lot of rides. The problem happens is that the visitors can not enjoy all the rides that exist, one of which is due to the limited information provided by the tourist attraction objects. The method used in this study was the Prototype method. The software used in building this application was the Android Studio with the java programming language, and phpMyAdmin as the database server. Virtual tour of natural tourism applications in the city of Bandar Lampung based on Android provides information to visitors in the form of complete information about rides, 3600 panoramic photos of rides and the location of tourist attractions connected with Google maps. Key Words :Panorama 3600,android studio ,prototype, googlemaps
Concept of Modular, Self-Supporting Cable for Powering the Hovering Unmanned Aerial Vehicle

Hovering unmanned aerial vehicles, or drones, can function as distant platforms for mounted sensors, as signal transceivers or for other purposes. However, they must be tethered, the tether functioning as a power cable which connects a tethered drone with a ground power unit. In this article we developed a concept in which a power cable is of modular structure, consisting of mutually identical modules. Each module has motorised propellers and is capable of preserving itself in a given, hovering position. We formulate an equation for current that, for a given set of parameters, make possible hovering of a drone with such a modular cable. The developed concept does not show significant improvement in maximal height of a drone thereby obtained. Causes of that are extracted from a set of assumptions defining the concept.
LibGuides: Tech Tips: myUCA

Wondering how to install Respondus LockDown on your personal computer? Need to learn how to save your Word document as a PDF file? Here are some resources!
LibGuides: Tech Tips: Pearson

Wondering how to install Respondus LockDown on your personal computer? Need to learn how to save your Word document as a PDF file? Here are some resources!
DHCC: An Efficient Algorithm for Supervised Discretization

To improve the speed and effectiveness of data mining in equipment simulation training system, a discretization algorithm based on hierarchy clustering and compatibility (DHCC) is proposed. Compared with the traditional discretization algorithms, DHCC algorithm calculates the positive domain of clusters to adjust the number of clusters and realize the initial division of each attribute by combining the association between attributes. Further on the basis of the initial discretization results generated by hierarchy clustering, information entropy and simplified compatibility degree are calculated to merge the adjacent intervals to reduce the number of broken points and eliminate superfluous intervals. Therefore the valid and brief discretization scheme is generated. Through six typical datasets tests, the results show that DHCC algorithm is superior to Equal-W, Equal-F, Chimerge, MDLP, and CAIM algorithm in the total number of intervals and accuracy.