cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
GSEU Data and Knowledge Infrastructure for EU:  status and plans
Creators: name: Sinigoj, Jasna
name: Tulstrup, Jørgen
name: Cipolloni, Carlo
name: Schiegl, Martin
name: Prieto Martin, Ángel
name: Gruijters, Stephan
Publisher: name: Zenodo
Year: 2024
Subjects: subject: infrastructure
subject: Geology
subject: FOS: Earth and related environmental sciences
subject: data

description: The European Geological Data Infrastructure (EGDI) is a platform first created in 2016 to provide free access to pan-European and national geological datasets and services from European National Geological Survey Organisations. More than 800 map layers, a database for 3D geological models and more than 1300 documents (reports, images, spreadsheets, etc.) are available on the website. EGDI contains the results of more than 52 pan-European projects covering a broad range of geoscientific themes. These are viewable via each of the scientific themes sections on the website. https://www.europe-geology.eu/

The development of a data infrastructure containing high quality pan-European data which are freely available to decision-makers, the scientific and academic communities and the public, is crucial to make geoscience-based informed decisions. This FAIR (Findable, Accessible, Interoperable and Reusable) data can be used in research to answer specific questions or for consultation purposes. Bringing together all these data of various geoscientific themes and from different European countries and platforms in one unique digital infrastructure allows a pan-European picture of specific geoscientific problems or specific spatial areas.

The EGDI infrastructure thus forms the backbone for delivering multinational, distributed, derived, spatial and temporal datasets, in line with INSPIRE and other international standards.

EGDI is owned by EuroGeoSurveys (EGS) and the EGS community (particularly: GEUS, CGS, GeoZS, IGME-CSIC, BRGM and BGS) which maintains and continues to develop the platform. This work is carried out in close cooperation with EGS’ Spatial Information Expert Group.

EGDI is at the core of the Geological Service for Europe (GSEU) project. During this project, EGDI will be taken to a next level: from a simple data platform to a knowledge hub, where a broad range of stakeholders can easily access high quality geoscientific data and knowledge to support the decision-making process. EGDI is a central element in EGS’ mission to establish a Geological Service for Europe.
Synthesis of benzenepolythiols and their reactions with elemental sulfur
Creators: name: Yao, Hong
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: TP156 .D43 Y365 1998
subject: Desulphurization
subject: Natural gas - Sweetening
subject: Aromatic compounds--Reactivity.
subject: Elimination reactions.

description: Bibliography: p. 169-177
Comparison of the Diffuse Halpha and FUV Continuum Backgrounds: On the Origins of the Diffuse Halpha Background
Creators: name: Seon, Kwang-Il
name: Witt, Adolf
name: Kim, Il-Joong
name: Shinn, Jong-Ho
name: Edelstein, Jerry
name: Min, Kyoung-Wook
name: Han, Wonyong
Publisher: name: arXiv
Year: 2011
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We compare the diffuse H$α$ map of our Galaxy with the FUV (1370-1710Å) continuum map. The H$α$ intensity correlates well with the FUV intensity. The H$α$/FUV intensity ratio increases in general with the H$α$ intensity and the FUV hardness ratio (1370-1520Å to 1560-1710Å), implying that late OB stars may be the main source of the H$α$ recombination line at high latitudes. The variation of the H$α$ intensity as a function of the Galactic latitude is also very similar to that of the FUV intensity. The results likely suggest that not only the original radiation sources of the H$α$ and FUV backgrounds but also the radiative transfer mechanisms responsible for the diffuse backgrounds are largely common. Therefore, we propose a scenario wherein the H$α$ background at high latitudes is mostly composed of two components, H$α$ photons produced by in-situ recombination at the ionized regions around late OB stars and dust-scattered light of the H$α$ photons originating from late OB stars.
description: 12 pages, 6 figures, accepted for publication in ApJ
Health at the north coast site of Puemape during the Peruvian formative period
Creators: name: Gillespie, Robert Milan
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: F3429.3 .H43 G55 1998
subject: Indians of South America--Peru--Health and hygiene.
subject: Indians of South America--Peru--Social conditions.
subject: Peru--History--To 1548.

description: Bibliography: p. 136-152
Deliverable 8.2: Website and Social media channels report
Creators: name: López Bertani, María Teresa
Publisher: name: Zenodo
Year: 2021
Subjects: Landfill waste, food waste, greenhouse emissions, CircularEconomy, Biobased, FoodIndustry, Agrifood, Sustainability, Research, Innovation, website, partners

description: The present deliverable is “Public” in nature. It is not a report but for convenience, we provide a short report below about the website and the social media channels on LinkedIn and Twitter. The website www.model2bio.eu contains public information about the project, as the abstract, part or phases of the project, the partners working on it, the solutions to the economic and environmental problems, all with the branding and design. Topics covered by the website are summarised in the present deliverable, describing the content of each. Moreover, are provided descriptions about website structure, features and other important aspects such as update procedures. The Model2Bio website is set up along the details of Subtasks 8.1.1 described in work plan table of Annex 1 “Bio-based Industries Research and Innovation Action” of the Grant Agreement and the rules governing in the Consortium Agreement signed by the partners.
Stress and the need for resources in families of children with autism in Calgary
Creators: name: Benson, Bernadette Anne
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: RJ506 .A9 B455 1998
subject: Additional Copy: 370 EDC 1998 BEN in the Doucette Education Library
subject: Autism
subject: Autistic children - Family relationships
subject: Stress (Psychology)
subject: Family - Mental health

description: Bibligraphy: p. 93-102
Chronotoxic effects of hydrogen sulfide on rhythmic slow activity in the rat hippocampus
Creators: name: MacPherson, Patricia Hazel
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: RA1247 .H8 M33 1998
subject: Hydrogen sulphide - Toxicology
subject: Hydrogen suphide--Physiological effect.
subject: Circadian rhythms.

description: Bibliography: p. 110-132
Asymmetric reactions with camphorseleno chiral auxilliaries
Creators: name: Nan, Siqiao
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: QD412 .S5 N36 1998
subject: Selenides - Oxidation
subject: Organoselenium compounds
subject: Asymmetric synthesis
subject: Chirality

description: Bibliography: p. 99-194
Vibrational Andreev bound states in magnetic molecules
Creators: name: Golez, Denis
name: Bonca, Janez
name: Zitko, Rok
Publisher: name: arXiv
Year: 2012
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We predict the existence of vibrational Andreev bound states in deformable magnetic molecules on superconducting surfaces. We discuss the Anderson impurity model with electron-phonon coupling to a realistic anharmonic vibrational mode that modulates the tunneling barrier and show that the vibronic features are spectroscopically most visibile near the transition point between the Kondo-screened singlet and the unscreened doublet ground state. We find competing tendencies between phonon hardening due to anharmonicity and softening due to coupling to electrons, contrary to the Anderson-Holstein model and other models with harmonic local phonon mode where the vibrational mode is always softened. In addition, we find that the singlet and doublet many-body states may experience very different effective phonon potentials.
description: 5 pages, 4 figures
Novel Meta-heuristic Algorithm for Feature Selection, Unconstrained Functions and Engineering Problems
Creators: name: Mirjalili, Seyedali
Publisher: name: Torrens University Australia
Year: 2022
Subjects: Satisfiability and optimisation

description: This paper proposes a Sine Cosine hybrid optimization algorithm with Modified Whale Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA to solve problems with continuous and binary decision variables. The SCMWOA algorithm is first tested on nineteen datasets from the UCI Machine Learning Repository with different number attributes, instances, and classes for feature selection. It is then employed to solve several benchmark functions and classical engineering case studies. The SCMWOA algorithm is applied for solving constrained optimization problems. The two tested examples are the welded beam design and the tension/compression spring design. The results emphasize that the SCMWOA algorithm outperforms several comparative optimization algorithms and provides better accuracy compared to other algorithms. The statistical analysis tests, including one-way analysis of variance (ANOVA) and Wilcoxon’s rank-sum, confirm that the SCMWOA algorithm performs better.
New approach to 3D electrostatic calculations for micro-pattern detectors
Creators: name: Lazic, P.
name: Dujmic, D.
name: Formaggio, J. A.
name: Abraham, H.
name: Stefancic, H.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: We demonstrate practically approximation-free electrostatic calculations of micromesh detectors that can be extended to any other type of micropattern detectors. Using newly developed Boundary Element Method called Robin Hood Method we can easily handle objects with huge number of boundary elements (hundreds of thousands) without any compromise in numerical accuracy. In this paper we show how such calculations can be applied to Micromegas detectors by comparing electron transparencies and gains for four different types of meshes. We demonstrate inclusion of dielectric material by calculating the electric field around different types of dielectric spacers.
Moth-flame optimization algorithm: Theory, literature review, and application in optimal nonlinear feedback control design
Creators: name: Mirjalili, Seyedali
Publisher: name: Torrens University Australia
Year: 2022
Subjects: Evolutionary computation

description: A direct numerical method for optimal feedback control design of general nonlinear systems is presented in this chapter. The problem is generally infinite dimensional. In order to convert it to a finite dimensional optimization problem, a collocation type method is proposed. The collocation approach is based on approximating the control input function as a series of given base functions with unknown coefficients. Then, the optimal control problem is converted to the problem of finding a finite set of coefficients. To solve the resulting optimization problem, a new nature-inspired optimization paradigm known as Moth Flame Optimizer (MFO) is used. Validation and evaluating of accuracy of the method are performed via implementing it on some well known benchmark problems. Investigations presented in this chapter reveals the efficiency of the method and its benefits with respect to other numerical approaches. The chapter also consideres an in-depth literratur review and analysis of MFO.
Fortalecimiento de las competencias digitales en los docentes de la Institución Educativa Técnica San Isidro por medio de un Website aplicando el Conectivismo.
Creators: name: Rios Mosquera, Oscar Mauricio
name: Charry Charry, Ronald Alberto
name: Yanguma Contreras, Wilmer Ariel
name: Hernández Escobar, Luz Karine
Publisher: name: Universidad de Cartagena
Year: 2023
Subjects: subject: Herramientas virtuales
subject: Docentes - Entrenamiento en servicio
subject: Innovaciones educativas

description: Este proyecto tiene como objeto fortalecer las competencias digitales de los docentes de la Institución Educativa Técnica San Isidro de la ciudad de Ibagué a través de un website creado bajo los parámetros de la pedagogía conectivista. Aquí se muestra la metodología empleada y se narra en detalle el proceso de intervención. La presencia de la tecnología en todos los ámbitos de la sociedad es un hecho que no se debe desconocer y siendo la educación un aspecto de relevante importancia, no se podía quedar por fuera de ella, es por esto que contribuye brindando una gran variedad de aplicaciones y recursos educativos que, por su construcción pedagógica inmersa, favorecen la enseñanza, haciéndola didáctica y generando interés en los estudiantes. Es de vital importancia que los docentes posean ciertas destrezas y habilidades tecnológicas para que puedan implementar de forma adecuada y pertinente estos elementos que brinda la tecnología en los procesos de enseñanza – aprendizaje y que permiten innovar en la educación
Seeking serenity: living with HIV/AIDS in rural alberta
Creators: name: Groft, Jean Norma
Publisher: name: Nursing
Year: 1998
Subjects: subject: RA644 .A25 G76 1998
subject: HIV-positive persons--Alberta.
subject: Health behavior--Alberta.
subject: Rural health--Alberta.
subject: Community health nursing--Alberta.

description: Bibliography: p. 110-123
Kramers turnover in class of thermodynamically open systems: Effect of interplay of nonlinearity and noises
Creators: name: Shit, Anindita
name: Chattopadhyay, Sudip
name: Banik, Suman Kumar
name: Chaudhuri, Jyotipratim Ray
Publisher: name: arXiv
Year: 2012
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: A system-reservoir nonlinear coupling model has been proposed for a situation where the reservoir is nonlinearly driven by an external Gaussian stationary noise which exposes the system particles to a nonequilibrium environment. Apart from the internal thermal noise, the thermodynamically open system encounters two other noises that are multiplicative in nature. Langevin equation derived from the resulting composite system contains the essential features of the interplay between these noise processes. Based on the numerical simulation of the full model potential, we show that one can recover the turnover features of the Kramers dynamics even when the reservoir is modulated nonlinearly by an external noise.
description: 7 pages, 2 figures
An assessment of alternatives to flaring solution gas in Alberta
Creators: name: Holford, Mark R.
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: TD885.5 .C66 H65 1998
subject: Waste gases--Alberta--Combustion.
subject: Flare gas systems (Chemical engineering)--Alberta.
subject: Gas industry - Alberta - Environmental aspects

description: Bibliography: p. 55-56
Searching for Saturn's Dust Swarm: Limits on the size distribution of Irregular Satellites from km to micron sizes
Creators: name: Kennedy, Grant M.
name: Wyatt, Mark C.
name: Su, Kate Y. L.
name: Stansberry, John A.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: We describe a search for dust created in collisions between the Saturnian irregular satellites using archival \emph{Spitzer} MIPS observations. Although we detected a degree scale Saturn-centric excess that might be attributed to an irregular satellite dust cloud, we attribute it to the far-field wings of the PSF due to nearby Saturn. The Spitzer PSF is poorly characterised at such radial distances, and we expect PSF characterisation to be the main issue for future observations that aim to detect such dust. The observations place an upper limit on the level of dust in the outer reaches of the Saturnian system, and constrain how the size distribution extrapolates from the smallest known (few km) size irregulars down to micron-size dust. Because the size distribution is indicative of the strength properties of irregulars, we show how our derived upper limit implies irregular satellite strengths more akin to comets than asteroids. This conclusion is consistent with their presumed capture from the outer regions of the Solar System.
description: accepted to MNRAS
Advanced meta-heuristics, convolutional neural networks, and feature selectors for efficient COVID-19 X-ray chest image classification
Creators: name: Mirjalili, Seyedali
Publisher: name: Torrens University Australia
Year: 2022
Subjects: Social determinants of health

description: The chest X-ray is considered a significant clinical utility for basic examination and diagnosis. The human lung area can be affected by various infections, such as bacteria and viruses, leading to pneumonia. Efficient and reliable classification method facilities the diagnosis of such infections. Deep transfer learning has been introduced for pneumonia detection from chest X-rays in different models. However, there is still a need for further improvements in the feature extraction and advanced classification stages. This paper proposes a classification method with two stages to classify different cases from the chest X-ray images based on a proposed Advanced Squirrel Search Optimization Algorithm (ASSOA). The first stage is the feature learning and extraction processes based on a Convolutional Neural Network (CNN) model named ResNet-50 with image augmentation and dropout processes. The ASSOA algorithm is then applied to the extracted features for the feature selection process. Finally, the Multi-layer Perceptron (MLP) Neural Network's connection weights are optimized by the proposed ASSOA algorithm (using the selected features) to classify input cases. A Kaggle chest X-ray images (Pneumonia) dataset consists of 5,863 X-rays is employed in the experiments. The proposed ASSOA algorithm is compared with the basic Squirrel Search (SS) optimization algorithm, Grey Wolf Optimizer (GWO), and Genetic Algorithm (GA) for feature selection to validate its efficiency. The proposed (ASSOA + MLP) is also compared with other classifiers, based on (SS + MLP), (GWO + MLP), and (GA + MLP), in performance metrics. The proposed (ASSOA + MLP) algorithm achieved a classification mean accuracy of (99.26%). The ASSOA + MLP algorithm also achieved a classification mean accuracy of (99.7%) for a chest X-ray COVID-19 dataset tested from GitHub. The results and statistical tests demonstrate the high effectiveness of the proposed method in determining the infected cases.
Vernetzungspotential Durch Nutzung Von Normdaten (Am Beispiel Von Gnd / Beacon)
Creators: name: Lordick, Harald
Publisher: name: Zenodo
Year: 2015
Subjects: GND
Gemeinsame Normdatei
BEACON
Integrated Authority File
Authority Control
Digital Humanities

description: Der Workshop-Beitrag erläutert an praktischen Beispielen, wie Online-Publikationen von ihrer Anreicherung mit IDs der Gemeinsamen Normdatei (GND) profitieren: durch bessere Sichtbarkeit und Recherchierbarkeit, durch Vernetzung mit weiteren Datenangeboten sowie durch Auflösung von Ambiguität.

Skizziert wird der Einstieg in das Thema "Linked Data / Semantic Web" als niedrigschwelliger Workflow: Daten mit Ids der GND anreichern, Web-Schnittstelle einrichten, BEACON-Datei erstellen und in der »Collection Registry« (https://de.wikipedia.org/wiki/Wikipedia:BEACON) bekannt machen sowie auf einen See-Also-Service wie BEACON-Findbuch (http://beacon.findbuch.de/) verlinken.

Anhand der Web-App "Orte jüdischer Geschichte" wird schließlich anhand eines weiteren Use Case der Bedarf an Normdaten als Voraussetzung von Vernetzungsmöglichkeiten diskutiert.
Efforts to isolate a gene for x-linked congenital stationary night blindness by positional cloning
Creators: name: Boycott, Kym Marie
Publisher: name: University of Calgary
Year: 1997
Subjects: subject: QP482 .B69 1997
subject: Vision disorders--Genetic aspects.
subject: Blindness--Genetic aspects.
subject: Night vision--Genetic aspects.

description: Bibliography: p. 257-294
Finding the Spectral Radius of a Nonnegative Tensor
Creators: name: Hu, Shenglong
name: Huang, Zheng-Hai
name: Qi, Liqun
Publisher: name: arXiv
Year: 2011
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 15-02, 15A18, 15A69, 65F15

description: In this paper, we introduce a new class of nonnegative tensors --- strictly nonnegative tensors. A weakly irreducible nonnegative tensor is a strictly nonnegative tensor but not vice versa. We show that the spectral radius of a strictly nonnegative tensor is always positive. We give some sufficient and necessary conditions for the six well-conditional classes of nonnegative tensors, introduced in the literature, and a full relationship picture about strictly nonnegative tensors with these six classes of nonnegative tensors. We then establish global R-linear convergence of a power method for finding the spectral radius of a nonnegative tensor under the condition of weak irreducibility. We show that for a nonnegative tensor T, there always exists a partition of the index set such that every tensor induced by the partition is weakly irreducible; and the spectral radius of T can be obtained from those spectral radii of the induced tensors. In this way, we develop a convergent algorithm for finding the spectral radius of a general nonnegative tensor without any additional assumption. The preliminary numerical results demonstrate the feasibility and effectiveness of the proposed algorithm.
description: 25 pages, 1 figue
The Euclidean Onofri inequality in higher dimensions
Creators: name: Del Pino, Manuel
name: Dolbeault, Jean
Publisher: name: arXiv
Year: 2012
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: The classical Onofri inequality in the two-dimensional sphere assumes a natural form in the plane when transformed via stereographic projection. We establish an optimal version of a generalization of this inequality in the d-dimensional Euclidean space for any d\geq2, by considering the endpoint of a family of optimal Gagliardo-Nirenberg interpolation inequalities. Unlike the two-dimensional case, this extension involves a rather unexpected Sobolev-Orlicz norm, as well as a probability measure no longer related to stereographic projection.
Optical qudit-type entanglement creation at long distances by means of small cross-Kerr nonlinearities
Creators: name: Kilin, S. Ya.
name: Mikhalychev, A. B.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Entanglement represents an important resource for quantum information processing, but its generation itself requires physical resources that are limited. We propose a scheme for generating a wide class of entangled qudit-type states of optical field modes at sites separated by noisy medium when only weak optical nonlinearities are available at both sites. The protocol is also based on exploiting a weak probe field, transmitted between the sites and used for generation of quantum correlations between two spatially separated field modes. The idea of probabilistic entanglement enhancement by measurement is discussed, and corresponding scheme for measuring the probe field state with linear optics and photodetectors not resolving photon numbers is proposed. It is shown that the protocol is applicable in the case when decoherence, limited efficiency and dark counts of photodetectors, and uncertainty of nonlinear coupling constants are present.
A cost-efficient-based cooperative allocation of mining devices and renewable resources enhancing blockchain architecture
Creators: name: Mirjalili, Seyedali
Publisher: name: Torrens University Australia
Year: 2022
Subjects: Satisfiability and optimisation

description: The impressive furtherance of communication technologies has exhorted industrial companies to link-up these developments with their own abilities with the target of efficiency enhancement through smart supervision and control. With this in mind, the blockchain platform is a prospective solution for merging communication technologies and industrial infrastructures, but there are several challenges. Such obstacles should be addressed to effectively adopt this technology. One of the most recent challenges relative to adopting blockchain technology is the energy consumption of miners. Thus, providing an accurate approach that addresses the underlying cause of the problem will carry weight in the future. This work addresses managing the energy consumption of miners by using the advantage of distributed generation resources (DGRs). Along the same vein, it appears that achieving the optimal solution requires executing the modified reconfirmation of DGRs and miners (indeed, mining pool systems) in the smart grid. In order to perform this task, this article utilizes the Intelligent Priority Selection (IPS) method since this method is up to snuff for corporative allocation. In order to find practical solutions for this problem, the uncertainty is also modeled as a credible index highly correlated with the load and generation. All in all, it can be said that the outcome of this research study can help researchers in the field of enhancement of social welfare by using the proposed technology.
A qualitative approach to the study of three caregivers in group care settings
Creators: name: Baxter, Joanne Marlena
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: HQ778.7 .C2 B39 1998
subject: Child Care Workers
subject: Day care centers - Employees
subject: Day care aides - Attitudes

description: Bibliography: p. 170-189
A comprehensive survey of sine cosine algorithm: variants and applications
Creators: name: Mirjalili, Seyedali
Publisher: name: Torrens University Australia
Year: 2022
Subjects: Intelligent robotics

description: Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in 2016, SCA has attracted great attention from researchers and has been widely used to solve different optimization problems in several fields. This attention is due to its reasonable execution time, good convergence acceleration rate, and high efficiency compared to several well-regarded optimization algorithms available in the literature. This paper presents a brief overview of the basic SCA and its variants divided into modified, multi-objective, and hybridized versions. Furthermore, the applications of SCA in several domains such as classification, image processing, robot path planning, scheduling, radial distribution networks, and other engineering problems are described. Finally, the paper recommended some potential future research directions for SCA.
Flammability limits of gaseous fuels and their mixtures in air at elevated temperatures
Creators: name: Ale, Bhakta Bahadur
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: TP343 .A54 1998
subject: Fuels - Flammability - Testing
subject: Gases - Flammability - Testing
subject: Fuel--Testing.
subject: Heat of combustion

description: Bibliography: p. 123-129
A comprehensive survey of recent trends in deep learning for digital images augmentation
Creators: name: Mirjalili, Seyedali
Publisher: name: Torrens University Australia
Year: 2022
Subjects: Modelling and simulation

description: Deep learning proved its efficiency in many fields of computer science such as computer vision, image classifications, object detection, image segmentation, and more. Deep learning models primarily depend on the availability of huge datasets. Without the existence of many images in datasets, different deep learning models will not be able to learn and produce accurate models. Unfortunately, several fields don't have access to large amounts of evidence, such as medical image processing. For example. The world is suffering from the lack of COVID-19 virus datasets, and there is no benchmark dataset from the beginning of 2020. This pandemic was the main motivation of this survey to deliver and discuss the current image data augmentation techniques which can be used to increase the number of images. In this paper, a survey of data augmentation for digital images in deep learning will be presented. The study begins and with the introduction section, which reflects the importance of data augmentation in general. The classical image data augmentation taxonomy and photometric transformation will be presented in the second section. The third section will illustrate the deep learning image data augmentation. Finally, the fourth section will survey the state of the art of using image data augmentation techniques in the different deep learning research and application.
Hemispheric equivalence in the temporal processing for somatosensory and visual stimuli: age-related differences
Creators: name: Brown, Lenora N.
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: QP385 .B76 1998
subject: Additional Copy: 370 EDC 1998 BRO in the Doucette Library.
subject: Cerebral hemispheres
subject: Laterality
subject: Brain - Localization of functions

description: Bibliography: p. 82-91
Evaluation of overlaps between arbitrary Fermionic quasiparticle vacua
Creators: name: Avez, Benoît
name: Bender, Michael
Publisher: name: arXiv
Year: 2011
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We derive an expression that allows for the unambiguous evaluation of the overlap between two arbitrary quasiparticle vacua, including its sign. Our expression is based on the Pfaffian of a skew-symmetric matrix, extending the formula recently proposed by [L. M. Robledo, Phys. Rev. C 79, 021302(R) (2009)] to the most general case, including the one of the overlap between two different blocked n-quasiparticle states for either even or odd systems. The powerfulness of the method is illustrated for a few typical matrix elements that appear in realistic angular-momentum-restored Generator-Coordinate Method calculations when breaking time-reversal invariance and using the full model space of occupied single-particle states.
description: 10 pages, 3 figures
The Importance of Feature Processing in Deep-Learning-Based Condition Monitoring of Motors
Creators: name: Memon, Tayab Din
Publisher: name: Torrens University Australia
Year: 2022
Subjects: Quantum engineering systems (incl. computing and communications)

description: The advent of deep learning (DL) has transformed diagnosis and prognosis techniques in industry. It has allowed tremendous progress in industrial diagnostics, has been playing a pivotal role in maintaining and sustaining Industry 4.0, and is also paving the way for industry 5.0. It has become prevalent in the condition monitoring of industrial subsystems, a prime example being motors. Motors in various applications start deteriorating due to various reasons. Thus, the monitoring of their condition is of prime importance for sustaining the operation and maintaining efficiency. This paper presents a state-of-the-art review of DL-based condition monitoring for motors in terms of input data and feature processing techniques. Particularly, it reviews the application of various input features for the effectiveness of DL models in motor condition monitoring in the sense of what problems are targeted using these feature processing techniques and how they are addressed. Furthermore, it discusses and reviews advances in DL models, DL-based diagnostic methods for motors, hybrid fault diagnostic techniques, points out important open challenges to these models, and signposts the prospective future directions for DL models. This review will assist researchers in identifying research gaps related to feature processing, so that they may effectively contribute toward the implementation of DL models as applied to motor condition monitoring.
Proscribed piety: woman's missionary societies in Alberta, 1918-1939
Creators: name: Thrift, Gayle Ileen Hunter
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: FC3669 .T47 1998
subject: Women missionaries--Alberta.
subject: Women in missionary work--Alberta.
subject: Alberta--History--1905-1945

description: Bibliography: p. 111-123
MPEC 2023-W126 : 2023 WH3
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2023
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2023 WH3

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Stator winding fault detection and classification in three-phase induction motor
Creators: name: Memon, Tayab Din
Publisher: name: Torrens University Australia
Year: 2022
Subjects: Decision making

description: Induction motors (IMs) are the workhorse of the industry and are subjected to a harsh environment. Due to their operating conditions, they are exposed to different kinds of unavoidable faults that lead to unscheduled downtimes and losses. These faults may be detected early through predictive maintenance (i.e., deployment of condition monitoring systems). Motor current signature analysis (MCSA) is the most widely used technique to detect various faults in industrial motors. The stator winding faults (SWF) are one of the major faults. In this paper, we present an induction motor fault detection and identification system using signal processing techniques such as fast Fourier transform (FFT), short-time Fourier transform (STFT), and continuous wavelet transform (CWT). A three-phase motor model is developed in MATLAB Simulink and simulated under various fault conditions. The current signature is observed using FFT, spectrogram, and scalogram to detect the faults. It is observed that under some fault conditions, the current signature analysis remains indistinguishable from the non-fault case. Therefore, deep learning (DL) methods are adopted here to identify these faults. The time-series data of healthy and unhealthy conditions are obtained from the simulation results. The comparative investigation among DL models confirmed the superiority of the long short-term memory (LSTM) model, which achieved 97.87% accuracy in identifying the individual faults.
Estimating mechanical frequency tuning properties of the cochlea with f1 and f2 sweep distortion product otoacoustic emission measurements in normal hearing human adults
Creators: name: Bowman, Denise Michelle
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: RF294.5 .O76 B69 1998
subject: Otoacoustic emission.
subject: Audiometry, Speech
subject: Hearing - Testing
subject: Cochlea--Physiology.

description: Bibliography: p. 133-146
The span of correlations in dolphin whistle sequences
Creators: name: Ferrer-i-Cancho, Ramon
name: McCowan, Brenda
Publisher: name: arXiv
Year: 2012
Subjects: subject: Neurons and Cognition (q-bio.NC)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: Long-range correlations are found in symbolic sequences from human language, music and DNA. Determining the span of correlations in dolphin whistle sequences is crucial for shedding light on their communicative complexity. Dolphin whistles share various statistical properties with human words, i.e. Zipf's law for word frequencies (namely that the probability of the $i$th most frequent word of a text is about $i^{-α}$) and a parallel of the tendency of more frequent words to have more meanings. The finding of Zipf's law for word frequencies in dolphin whistles has been the topic of an intense debate on its implications. One of the major arguments against the relevance of Zipf's law in dolphin whistles is that is not possible to distinguish the outcome of a die rolling experiment from that of a linguistic or communicative source producing Zipf's law for word frequencies. Here we show that statistically significant whistle-whistle correlations extend back to the 2nd previous whistle in the sequence using a global randomization test and to the 4th previous whistle using a local randomization test. None of these correlations are expected by a die rolling experiment and other simple explanation of Zipf's law for word frequencies such as Simon's model that produce sequences of unpredictable elements.
description: New Tables 3 and 4
Sigma-Delta Modulation Based Single-bit Adaptive DSP Algorithms for Efficient Mobile Communication
Creators: name: Memon, Tayab Din
Publisher: name: Torrens University Australia
Year: 2022
Subjects: Signal processing

description: In the recent past, a new set of digital signal processing algorithms are developed called short word length (SWL) DSP systems to mitigate the multiplier complexity that is an inherent part in most DSP functions. In SWL algorithms, the critical element is sigma-delta modulation (SDM). In this paper, we present the design, implementation, and hardware synthesis of the FIR filter and adaptive algorithms with the conventional and proposed multiplier schemes. Two proposed short word length adaptive algorithms namely Wiener and Steepest-Descent are compared with their counterpart LMS algorithm using conventional and proposed multiplier schemes. The hardware synthesize of these algorithms is done using Xilinx Spartan-6 and Vertex-7 FPGA and comparison is done based on area-performance-power. The overall results show that the sigma-delta modulation based adaptive DSP algorithm outperforms and is an efficient approach for mobile communication.
Adoption patterns and characteristics of faculty who intergrate computer technology for teaching and learning in higher education
Creators: name: Jacobsen, Dawn Michele
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: LB1028.43 .J33 1998
subject: Additional Copy: 370 EDC 1998 JAC in the Doucette Education Library
subject: Educational technology--Education (Higher)
subject: Computer managed instruction
subject: Computer-assisted instruction
subject: Technological innovations--Education (Higher)

description: Bibliography: p. 201-208
Antigen processing and presentation of Cryptococcus neoformans
Creators: name: Syme, Rachel Mona
Publisher: name: University of Calgary
Year: 1998
Subjects: subject: QR185.8 .T2 S96 1998
subject: Antigens
subject: T cells.
subject: Cryptococcus neoformans.
subject: Lymphocytes

description: Bibliography: p. 226-258
Discovery of a TiO emission band in the infrared spectrum of the S star NP Aurigae
Creators: name: Smolders, K.
name: Verhoelst, T.
name: Neyskens, P.
name: Blommaert, J. A. D. L.
name: Decin, L.
name: Van Winckel, H.
name: Van Eck, S.
name: Sloan, G. C.
name: Cami, J.
name: Hony, S.
name: De Cat, P.
name: Menu, J.
name: Vos, J.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We report on the discovery of an infrared emission band in the Spitzer spectrum of the S-type AGB star NP Aurigae that is caused by TiO molecules in the circumstellar environment. We modelled the observed emission to derive the temperature of the TiO molecules (\approx 600 K), an upper limit on the column density (\approx 10^17.25 cm^{-2}) and a lower limit on the spatial extent of the layer that contains these molecules. (\approx 4.6 stellar radii). This is the first time that this TiO emission band is observed. A search for similar emission features in the sample of S-type stars yielded two additional candidates. However, owing to the additional dust emission, the identification is less stringent. By comparing the stellar characteristics of NP Aur to those of the other stars in our sample, we find that all stars with TiO emission show large-amplitude pulsations, s-process enrichment, and a low C/O ratio. These characteristics might be necessary requirements for a star to show TiO in emission, but they are not sufficient.
description: 4 pages, 4 figures, letter to the editor
Sigma-Delta Modulation Based Adaptive Channel Equalizer Based on Wiener–Hopf Equations
Creators: name: Memon, Tayab Din
Publisher: name: Torrens University Australia
Year: 2022
Subjects: Wireless communication systems and technologies (incl. microwave and millimetrewave)

description: Recenlty, short word length DSP systems are proposed and reported that they outperform compared to their counterpart multi-bit systems in the sense of area-performance-power analysis. In this continuation, this paper presents the application of sigma-delta modulation (SDM) in the design of adaptive channel equalizer using the Wiener filter for wireless and underwater acoustic communication (UWA). To validate the application, various aspects of design are taken into consideration and comparison is carried out with contemporary (i.e., multi-bit) approach. Besides, FPGA based implementation of SDM based design and conventional approach is also carried out to endorse the proposed algorithm to be used in hardware based implementation. The results given in terms of area -perfromance analysis show that proposed algorithm works as desired and it opens the way of using the sigma-delta modulation in adaptive signal processing domain for UWA that has remained a quite challenging task ever before.
Anderson Localization in Metamaterials with Compositional Disorder
Creators: name: Torres-Herrera, E. J.
name: Izrailev, F. M.
name: Makarov, N. M.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The localization length has been derived for one-dimensional bi-layered structures with random perturbations in the refractive indices for each type of layers. Main attention is paid to the comparison between conventional materials and those consisting of mixed right-hand and left-hand materials. It is shown that the localization length is described by the universal expression for both cases. The analytical results are confirmed by numerical simulations.
description: 8 pages, 3 figures, corrected version
An analysis of airborne gravity by strapdown INS/DGPS
Creators: name: Glennie, Craig L.
Publisher: name: University of Calgary
Year: 1999
Subjects: subject: QB331 .G58 1999
subject: Gravity - Measurement
subject: Inertial navigation systems
subject: Global positioning system
subject: Aids to air navigation.

description: Bibliography: p. 116-121.
Real time identification of railway track surface faults using canny edge detector and 2D discrete wavelet transform
Creators: name: Memon, Tayab Din
Publisher: name: Torrens University Australia
Year: 2022
Subjects: Transport engineering

description: Usually, railway accidents are caused by train derailment, the mechanical failure of tracks, such as broken rails often caused by lack of railway condition monitoring. Such monitoring could identify track surface faults, such as squats, that act as a catalyst for the track to crack and ultimately break. The research presented in this paper enables real-time identification of railway track faults using image processing techniques such as Canny edge detection and 2D discrete wavelet transformation. The Canny edge detection outperforms traditional track damage detection techniques including Axle Based Acceleration using Inertial Measurement Units and is as reliable as Fiber Bragg Grating. The Canny edge detection employed can identify squats in real-time owing to its specific threshold amplitude using a camera module mounted on a specially designed handheld Track Recording Vehicle (TRV). The 2D discrete wavelet transformation validates the insinuation of the Canny edge detector regarding track damage and furthermore determines damage severity, by applying high sub band frequency filter. The entire algorithm works on a Raspberry Pi 3 B+ utilizing an OpenCV API. When tested using an actual rail track, the algorithm proved reliable at determining track surface damage in real-time. Although wavelet transformation performs better than Canny edge detection in terms of determining the severity of track surface damage, it has processing overheads that become a bottleneck in real-time. To overcome this deficiency a very effective two-stage process has been developed.
Constraints on jet formation mechanisms with the most energetic giant outbursts in MS 0735+7421
Creators: name: Li, Shuang-Liang
name: Cao, Xinwu
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Giant X-ray cavities lie in some active galactic nuclei (AGNs) locating in central galaxies of clusters, most of these cavities are thought to be inflated by jets of AGNs. The jets can be either powered by rotating black holes or the accretion disks surrounding black holes, or both. In this work, we choose the most energetic cavity, MS 0735+7421, with stored energy ~ 10^62 erg, to constrain the jet formation mechanisms and the evolution of the central massive black hole in this source. The bolometric luminosity of the AGN in this cavity is ~ 10^(-5) L_Edd, however, the mean power of the jet required to inflate the cavity is estimated as ~ 0.02 L_Edd, which implies that the source has experienced strong outbursts previously. During outbursts, the jet power and the mass accretion rate should be significantly higher than its present values. We construct an accretion disk model, in which the angular momentum and energy carried away by jets is properly included, to calculate the spin and mass evolution of the massive black hole. In our calculations, different jet formation mechanisms are employed, and we find that the jets generated with the Blandford-Znajek (BZ) mechanism are unable to produce the giant cavity with ~ 10^62 erg in this source. Only the jets accelerated with the combination of the Blandford-Payne (BP) and BZ mechanisms can successfully inflate such a giant cavity, if the magnetic pressure is close to equipartition with the total (radiation+gas) pressure of the accretion disk. For dynamo generated magnetic field in the disk, such an energetic giant cavity can be inflated by the magnetically driven jets only if the initial black hole spin parameter a_0 > 0.95. Our calculations show that the final spin parameter a of the black hole is always ~ 0:9 - 0.998 for all the computational examples which can provide sufficient energy for the cavity of MS 0735+7421.
description: 25 pages, 8 figures, accepted by ApJ
Democracy, civic virtue and liberal education
Creators: name: Stockden, Eric W.A.
Publisher: name: University of Calgary
Year: 1999
Subjects: subject: LC189 .S87 1999
subject: Additional Copy: 370 EDC 1999 STO in the Doucette Education Library.
subject: Education--Political aspects.
subject: Education--Social aspects.

description: Bibliography: p. 256-269.
Higher spin AdS_3 supergravity and its dual CFT
Creators: name: Creutzig, Thomas
name: Hikida, Yasuaki
name: Ronne, Peter B.
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Vasiliev's higher spin supergravity theory on three dimensional anti-de Sitter space is studied and, in particular, the partition function is computed at one loop level. The dual conformal field theory is proposed to be the N=(2,2) CP^N Kazama-Suzuki model in two dimensions. The proposal is based on symmetry considerations and comparison of the bulk partition function with the conformal field theory. Our findings suggest that the theory is strong-weak self-dual.
description: 36 pages