cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Database, Features, and Machine Learning Model to Identify Thermally Driven Metal-Insulator Transition Compounds
Creators: name: Georgescu, Alexandru B.
name: Ren, Peiwen
name: Toland, Aubrey R.
name: Zhang, Shengtong
name: Miller, Kyle D.
name: Apley, Daniel W.
name: Olivetti, Elsa A.
name: Wagner, Nicholas
name: Rondinelli, James M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Metal-insulator transition (MIT) compounds are materials that may exhibit insulating or metallic behavior, depending on the physical conditions, and are of immense fundamental interest owing to their potential applications in emerging microelectronics. There is a dearth of thermally-driven MIT materials, however, which makes delineating these compounds from those that are exclusively insulating or metallic challenging. Here we report a material database comprising temperature-controlled MITs (and metals and insulators with similar chemical composition and stoichiometries to the MIT compounds) from high quality experimental literature, built through a combination of materials-domain knowledge and natural language processing. We featurize the dataset using compositional, structural, and energetic descriptors, including two MIT relevant energy scales, an estimated Hubbard interaction and the charge transfer energy, as well as the structure-bond-stress metric referred to as the global-instability index (GII). We then perform supervised classification, constructing three electronic-state classifiers: metal vs non-metal (M), insulator vs non-insulator (I), and MIT vs non-MIT (T). We identify two important descriptors that separate metals, insulators, and MIT materials in a 2D feature space: the average deviation of the covalent radius and the range of the Mendeleev number. We further elaborate on other important features (GII and Ewald energy), and examine how they affect classification of binary vanadium and titanium oxides. We discuss the relationship of these atomic features to the physical interactions underlying MITs in the rare-earth nickelate family. Last, we implement an online version of the classifiers, enabling quick probabilistic class predictions by uploading a crystallographic structure file.
Fabrication Of Mg-Zn-Ca Metallic Glass Thinflims By Ion Assisted Pulsed Magnetron Sputtering For Biodegradable Implants
Creators: name: K.S. Abisegapriyan
name: B. Subramanian
Publisher: name: Zenodo
Year: 2018

description: The talk presented at 29th Annual General Meeting Of Materials Research Society Of India And National Symposium On Advances In Functional And Exotic Materials.
Leucanthemum adustum subsp. adustum
Creators: name: Info Flora
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Asterales
Asteraceae
Leucanthemum
Leucanthemum adustum
Leucanthemum adustum (w. d. j. koch) gremli subsp. adustum

description: Leucanthemum adustum (W. D. J. Koch) Gremli subsp. adustum
Unterart ISFS: 236250 Checklist: 1026655 Asteraceae Leucanthemum Leucanthemum vulgare aggr. Leucanthemum adustum (W. D. J. Koch) Gremli Leucanthemum adustum (W. D. J. Koch) Gremli subsp. adustum
Bestimmungsschlüssel
ZusammenfassungKEINE ANGABE
Status Nationale Priorität: --
Internationale Verantwortung: --
Ökologie
Lebensraum Lebensraumnach Delarze & al. 2015
KEINE ANGABE
Ökologische Zeigerwerte nach Landolt & al. (2010)
BodenfaktorenKlimafaktorenSalztoleranzFeuchtezahl F--Lichtzahl L--Salzzeichen--Reaktionszahl R--Temperaturzahl T--Nährstoffzahl N--Kontinentalitätszahl K--
Nomenklatur
Gültiger Name (Checklist 2017):Leucanthemum adustum(W. D. J. Koch) Gremli subsp.adustum
Volksname
Deutscher Name: -- Nom français: -- Nome italiano: --
Übereinstimmung mit anderen Referenzwerken
RelationNomReferenzwerkeNo=Leucanthemum adustum (W. D. J. Koch) Gremli subsp. adustumChecklist 2017236250
= Taxon stimmt mit akzeptiertem Taxon überein (Checklist 2017)  Taxon enthält (neben anderen) auch das akzeptierte Taxon (Checklist 2017)
Kommentare aus der Checklist 2017 Neue Unterart: Die Art wurde bisher (SISF-2) nicht in Unterarten aufgeteilt oder die Unterteilung wurde bisher nicht akzeptiert. Im Gebiet der Checklist 2017 kommt nur diese Unterart vor. Sie ist der Unterart L. a. subsp. margaritae (Gáyer) Holub aus den Ostalpen und Karpaten gegenübergestellt. Die Zuordnung zur Unterart sollte nur erfolgen, wenn ihre Bestimmung als solche sichergestellt ist. Checklist
Status Indigenat: Indigen
Liste der gefährdeten Pflanzen IUCN(nach Walter & Gillett 1997): Nein Status Rote Liste national
KEINE ANGABE
Status nationale Priorität /Verantwortung
Nationale Priorität--Massnahmenbedarf--Internationale Verantwortung--Überwachung Bestände--
Schutzstatus
Kein internationaler, nationaler oder kantonaler Schutz
description: Published as part of Info Flora, 2021,
Predicting cancer evolution for patient benefit: Renal cell carcinoma paradigm.
Creators: name: Pallikonda, Husayn Ahmed
name: Turajlic, Samra
Publisher: name: The Francis Crick Institute
Year: 2022
Subjects: Tumour Biology
Signalling & Oncogenes
Genetics & Genomics
Genome Integrity & Repair
Computational & Systems Biology

description: Evolutionary features of cancer have important clinical implications, but their evaluation in the clinic is currently limited. Here, we review current approaches to reconstruct tumour subclonal structure setting and discuss tumour sampling method and experimental design influence. We describe clear-cell renal cell carcinoma (ccRCC) as an exemplar for understanding and predicting cancer evolutionary dynamics. Finally, we discuss how understanding cancer evolution can benefit patients.
Mapping the Microstructure of Single-Site Ethylene/1- Hexene Copolymers Using Response Surface Methods
Creators: Hegde,Venugopal
Publisher: name: University of Alberta Library
Year: 2022

Polyolefins are a commercially important class of polymers made only of carbon and hydrogen atoms. Polyethylene accounts for a sizable fraction of commercial polyolefins, covering applications from packaging films, water tanks, biomedical equipment, bulletproof vests, and adhesives. The use of a wide variety of catalysts and multimodal molecular weight distribution (MWD) are some routes to modify the microstructure of polyethylene and its application properties. Polyolefins with multimodal MWD are commonly produced by polymerizing ethylene and 1-olefins in reactor cascades or using a single reactor with more than one catalyst type.

Designing polyethylene resins involves optimizing multiple microstructural distributions that result in targeted end-use properties.  The end-use (secondary) properties are connected to the resin microstructure (primary property) by empirical equations called structure-property relationships. The goal of a polymer reaction engineer is to find polymerization conditions that achieve all or most of the properties in this wish list. The conventional solution to this problem is to develop fundamental polymerization kinetics models, estimate their parameters, and validate the model predictions vis-à-vis experimental data. However, the conventional route is a time consuming and expensive process. An alternative solution is to use response surface models, in which polymerizations are performed according to an optimal experimental design to develop statistically significant empirical models at a fraction of time and experimental effort required by phenomenological models.

In this thesis, response surface models were applied to quantify the microstructure of ethylene/1-hexene copolymers made with a single site metallocene catalyst in solution polymerization. The molar weight averages and distributions, short chain branching (1-hexene content), and melting temperatures of these copolymers were modeled and predicted. The response surface models developed were subjected to acceptance criteria based on statistical significance tests. Explanatory validation on the effect of factors confirmed the validity of models. The forward process of predicting MWD for a given set of polymerization conditions was reversed to test the utility to reverse-engineer to find the reactor conditions for a defined resin microstructure.
Randomized Multi-Biometric Liveness Detection: Prospects and Applications for Secure Authentication
Creators: name: OKEREAFOR, KENNETH
name: Osuagwu, Oliver
name: Sani Felix Ayegba
name: Adelaiye, Oluwasegun
Publisher: name: figshare
Year: 2020
Subjects: subject: 80303 Computer System Security
subject: FOS: Computer and information sciences
subject: 80301 Bioinformatics Software
subject: Information Systems

description: Biometric systems verify humans using their unique physiological or behavioural patterns to offer more
secure authentication over passwords and tokens. Despite their benefits, Biometric Authentication Systems remain vulnerable to spoofing, wherein an impostor presents a forged biometric trait and bypasses security checks. Impacts of successful spoofing can be potentially fatal such as in healthcare and crime investigation systems where insecure authentication can result in patient misdiagnosis and
criminal misidentification, respectively. Existing anti-spoofing techniques are mostly uni-modal and predictable, and therefore incapable of coping with the sophistication of modern-day biometric cyberattacks. This paper presents the Multi-Modal Random Trait Biometric Liveness Detection System (MMRTBLDS) framework which employs a complex trait randomization algorithm to mitigate predictability. Fifteen liveness attributes derived from finger, face and iris traits are used to simulate various authentication scenarios, resulting in 99.2% efficiency over uni-modal biometric systems. The paper also proposes areas of useful application of the framework based on its capacity to neutralize an impostor’s ability to accurately predict biometric trait combinations at the sensor verification stage.
Anthropogenic influence on the autumn migration of polar bears (Ursus maritimus) in Hudson Bay
Creators: Miller, Erin
Publisher: name: University of Alberta Library
Year: 2022

Migratory species may shift established spatiotemporal patterns in response to anthropogenic impacts, so understanding the energetic consequences of behavioural plasticity may provide insight into how effectively migratory species respond to climate change. I used satellite telemetry to examine individual variation and trends in the autumn migration of 151 adult female polar bears (Ursus maritimus) in western Hudson Bay, Canada from 1991 to 2020. I used regressions and time-to-event models to assess biological and environmental factors that influence migration phenology at the end of the terrestrial fasting period. To quantify vulnerability to an increasing fasting period, I examined the energetics of 136 females with offspring. I found that the timing of on-ice departure was delayed in older bears and, not unexpectedly, in years with later sea ice freeze-up. I also found temporal trends in past sea ice dynamics, a northward shift in the distribution of on-ice departure of 2 km/year, and declining energetic stores for females with first-year cubs, with an estimated 67% of females with offspring that would likely have to cease lactation before their on-ice departure date or risk starvation while 20% still risk starvation having ceased lactation. The analysis of migration phenology, however, does not permit insights into the influence of direct human interactions on the spatiotemporal patterns of bears. Therefore, I used satellite eartag telemetry deployed on 50 polar bears in 2016 – 2020 that were caught by Manitoba Conservation Offices as part of the Polar Bear Alert Program near Churchill, Canada and relocated upon release. This methodology allowed for the analysis of movement patterns and recidivism rates to improve our understanding of human-bear conflict mitigation. I found sex differences in the on-ice departure date, with females departing a mean 12 days earlier in the season than males. I found that bears involved in conflict changed their spatial migratory patterns, departing a mean of 104 km further north than non-conflict bears. Multinomial logistic models revealed that bears released later during the migratory period were less likely to re-enter a community at a rate of 8% per day. Polar bears exhibit complex patterns in migration due to the interplay between individual attributes, individual behaviour, and seasonally dynamic sea ice habitat, which are further complicated by the effects of climate change and human-wildlife conflict. As such, the management and conservation of polar bears will require a holistic approach that considers these factors.
Estimates of daily ground-level NO2 concentrations in China based on big data and machine learning approaches
Creators: name: Dou, Xinyu
name: Liao, Cuijuan
name: Wang, Hengqi
name: Huang, Ying
name: Tu, Ying
name: Huang, Xiaomeng
name: Peng, Yiran
name: Zhu, Biqing
name: Tan, Jianguang
name: Deng, Zhu
name: Wu, Nana
name: Sun, Taochun
name: Ke, Piyu
name: Liu, Zhu
Publisher: name: arXiv
Year: 2020
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Nitrogen dioxide (NO2) is one of the most important atmospheric pollutants. However, current ground-level NO2 concentration data are lack of either high-resolution coverage or full coverage national wide, due to the poor quality of source data and the computing power of the models. To our knowledge, this study is the first to estimate the ground-level NO2 concentration in China with national coverage as well as relatively high spatiotemporal resolution (0.25 degree; daily intervals) over the newest past 6 years (2013-2018). We advanced a Random Forest model integrated K-means (RF-K) for the estimates with multi-source parameters. Besides meteorological parameters, satellite retrievals parameters, we also, for the first time, introduce socio-economic parameters to assess the impact by human activities. The results show that: (1) the RF-K model we developed shows better prediction performance than other models, with cross-validation R2 = 0.64 (MAPE = 34.78%). (2) The annual average concentration of NO2 in China showed a weak increasing trend . While in the economic zones such as Beijing-Tianjin-Hebei region, Yangtze River Delta, and Pearl River Delta, the NO2 concentration there even decreased or remained unchanged, especially in spring. Our dataset has verified that pollutant controlling targets have been achieved in these areas. With mapping daily nationwide ground-level NO2 concentrations, this study provides timely data with high quality for air quality management for China. We provide a universal model framework to quickly generate a timely national atmospheric pollutants concentration map with a high spatial-temporal resolution, based on improved machine learning methods.
title: Research Scenario - Unlocking born-digital literary heritage: The case of the Herman de Coninck floppy disks - Part 1
title: Introducing the case of the Herman de Coninck floppy disks
titleType: Subtitle
Creators: name: Bekius, Lamyk
Publisher: name: Zenodo
Year: 2024

description: The aim of the CLARIAH-VL Open Humanities Service Infrastructure is to advance digitally-enabled research in Humanities and the Arts by, among other things, providing data-level access to digitized and born-digital resources. In this blogpost series, we will communicate on research scenario’s leading to and building upon the datasets made available through CLARIAH-VL. This blogpost introduces the research scenario ‘Unlocking born-digital literary heritage: the case of the Herman de Coninck floppy disks’.
Poly (N-Isopropylacrylamide)-Based Microgels for Contaminant Removal from Water
Creators: Gao,Feng
Publisher: name: University of Alberta Library
Year: 2022

Polymer based materials have been utilized widely for applications that can be of benefit to human health and the environment. This thesis covers the general scope of polymer materials on bases of star-shaped polymer and temperature-responsive poly (N-isopropylacrylamide) (pNIPAm) microgels, their co-functional polymers, their assemblies, and their applications as an anti-fouling coating layer on membrane surfaces in water remediation systems.

Chapter 1 gives a brief introduction of anti-fouling membrane and stimuli-responsive polymers, their assemblies and applications, and the background on polymer material coated anti-fouling membranes.

Chapter 2 focuses on investigating the anti-fouling properties with the filtration system using star-shaped polymer composed membranes. Star-shaped polymers with a silica core have been designed to enhance the coating stability and anti-fouling properties. The anti-fouling performance could be tuned by varying the star-shaped polymer compositions in the membrane.

Chapter 3 focuses on optimizing the pNIPAm based microgel coating on a polyethersulfone (PES) membrane through a new coating strategy. In this work, the microgel coating stability was investigate by tuning the microgel sizes and coating processes. With optimized microgel sizes and coating procesess, the anti-fouling performance also was optimized by varying the charge group (acrylic acid, AAc) compositions in the microgel. A long-term filtration was operated to confirm the coating stability with an AAc composited microgel coated membrane. As a further study of the AAc composited microgel coating in water remediation applications, Chapter 4 discussed the idea of microgels as sorbents during the filtration process.

Chapter 4 focuses on investigating the absorption capacity of pNIPAm based microgel coatings for water remediation application. The interactions between the microgel and metal ions were studied by observing the microgel shrink/swell behavior in the metal ion solution. The metal ion concentration changes obtained from ICP-OES during the filtration reveal the absorption capacity.
Positive Hermitian Curvature Flow on nilpotent and almost-abelian complex Lie groups
Creators: name: Stanfield, James
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics

description: We study the positive Hermitian curvature flow on the space of left-invariant metrics on complex Lie groups. We show that in the nilpotent case, the flow exists for all positive times and subconverges in the Cheeger-Gromov sense to a soliton. We also show convergence to a soliton when the complex Lie group is almost abelian. That is, when its Lie algebra admits a (complex) co-dimension one abelian ideal. Finally, we study solitons in the almost-abelian setting. We prove uniqueness and completely classify all left-invariant, almost-abelian solitons, giving a method to construct examples in arbitrary dimensions, many of which admit co-compact lattices.
description: 26 pages
Hochschild entropy and Categorical entropy
Creators: name: Kikuta, Kohei
name: Ouchi, Genki
Publisher: name: arXiv
Year: 2020
Subjects: subject: Algebraic Geometry (math.AG)
subject: Dynamical Systems (math.DS)
subject: Symplectic Geometry (math.SG)
subject: FOS: Mathematics
subject: 14F08, 14J33, 37B40, 53D37

description: We study the categorical entropy and counterexamples to Gromov-Yomdin type conjecture via homological mirror symmetry of K3 surfaces established by Sheridan-Smith. We introduce asymptotic invariants of quasi-endofunctors of dg categories, called the Hochschild entropy. It is proved that the categorical entropy is lower bounded by the Hochschild entropy. Furthermore, motivated by Thurston's classical result, we prove the existence of a symplectic Torelli mapping class of positive categorical entropy. We also consider relations to the Floer-theoretic entropy.
description: 22 pages. v2: final version
Leucanthemum coronopifolium Vill.
Creators: name: Info Flora
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Asterales
Asteraceae
Leucanthemum
Leucanthemum coronopifolium

description: Leucanthemum coronopifolium Vill.
Art ISFS: 236300 Checklist: 1026660 Asteraceae Leucanthemum Leucanthemum coronopifolium Vill.
Bestimmungsschlüssel
ZusammenfassungKEINE ANGABE
Ökologie
Lebensraum Lebensraumnach Delarze & al. 2015
KEINE ANGABE
Ökologische Zeigerwerte nach Landolt & al. (2010)
BodenfaktorenKlimafaktorenSalztoleranzFeuchtezahl F--Lichtzahl L--Salzzeichen--Reaktionszahl R--Temperaturzahl T--Nährstoffzahl N--Kontinentalitätszahl K--
Nomenklatur
Gültiger Name (Checklist 2017):Leucanthemum coronopifoliumVill.
Volksname
Deutscher Name: -- Nom français: -- Nome italiano: --
Übereinstimmung mit anderen Referenzwerken
RelationNomReferenzwerkeNo=Leucanthemum coronopifolium Vill.Index synonymique 1996236300=Leucanthemum coronopifolium Vill.SISF/ISFS 2236300
= Taxon stimmt mit akzeptiertem Taxon überein (Checklist 2017)  Taxon enthält (neben anderen) auch das akzeptierte Taxon (Checklist 2017)
Status Indigenat: -
Liste der gefährdeten Pflanzen IUCN(nach Walter & Gillett 1997): Nein
description: Published as part of Info Flora, 2021,
Robust and Accurate Generic Visual Object Tracking Using Deep Neural Networks in Unconstrained Environments
Creators: Khaghani,Javad
Publisher: name: University of Alberta Library
Year: 2022

The availability of affordable cameras and video-sharing platforms have provided a massive amount of low-cost videos. Automatic tracking of objects of interest in these videos is the essential step for complex visual analyses. As a fundamental computer vision task, Visual Object Tracking aims at accurately (and efficiently) locating a target in an arbitrary video, given an initial bounding box in the first frame. While the state-of-the-art deep trackers provide promising results, they still suffer from performance degradation in challenging scenarios including small targets, occlusion, and viewpoint change. Also, estimating the axis-aligned bounding box enclosing the target cannot provide the full details about its boundaries. Moreover, the performance of tracker relies on its well-crafted modules, typically consisting of manually-designed network architectures to boost the performance. In this thesis, first, a context-aware IoU-guided tracker is proposed that exploits a multitask two-stream network and an offline reference proposal generation strategy to improve the accuracy for tracking class-agnostic small objects from aerial videos of medium to high altitudes. Then, a two-stage segmentation tracker to provide better semantically interpretation of target in videos is developed. Finally, a novel cell-level differentiable architecture search with early stopping is introduced into Siamese tracking framework to automate the network design of the tracking module, aiming to adapt backbone features to the objective of network. Extensive experimental evaluations on widely used generic and aerial visual tracking benchmarks demonstrate the effectiveness of the proposed methods.
Stepwise Hydrogelation Of A Naphthalene Diimide Appended Peptide Amphiphile And Its Application In Cell-Imaging And Intracellular Ph Sensing
Creators: name: Nilotpal Singha
name: Purnima Gupta
name: BapanPramanik
name: Sahnawaz Ahmed
name: Antara Dasgupta
name: AninditaUkil
name: Debapratim Das
Publisher: name: Zenodo
Year: 2018

description: The talk presented at 29th Annual General Meeting Of Materials Research Society Of India And National Symposium On Advances In Functional And Exotic Materials.
Hahn polynomials and the Burnside process
Creators: name: Diaconis, Persi
name: Zhong, Chenyang
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: We study a natural Markov chain on $\{0,1,\cdots,n\}$ with eigenvectors the Hahn polynomials. This explicit diagonalization makes it possible to get sharp rates of convergence to stationarity. The process, the Burnside process, is a special case of the celebrated `Swendsen-Wang' or `data augmentation' algorithm. The description involves the beta-binomial distribution and Mallows model on permutations. It introduces a useful generalization of the Burnside process.
description: 29 pages; added Section 6 on a continuous limit of the Burnside process; improved the range of the parameter in Theorem 5.2; minor edits
Location-Aware Named Entity Disambiguation
Creators: Srinivasan,Maithrreye
Publisher: name: University of Alberta Library
Year: 2022

Named Entity Disambiguation (NED) and linking has been traditionally evaluated on natural language content that is both well-written and contextually rich. However, many NED approaches display poor performance on text sources that are short and noisy.  In this thesis, we study the problem of entity disambiguation for short text and propose a location-aware NED framework that resolves ambiguities in text with little other contextual cues. We show that the spatial dimension is crucial in disambiguating named entities and that the location inference is less utilized in many NED systems. Our proposed framework integrates (in an unsupervised manner) spatial signals that are readily available for many sources that emit short text (e.g., micro-blogs, search queries, and news streams). Our evaluation on news headlines and tweets reveals that a simple spatial embedding improves the accuracy of competitive baseline NED approaches from the literature by 8% for the news headlines and by 4% on tweets in probabilistic model. We further evaluated our spatial feature in a neural model and it showed that the NED performance is improved by 1.5% for the news headlines and by 6% for the tweets.
On the genealogical structure of critical branching processes in a varying environment
Creators: name: Kersting, Götz
Publisher: name: arXiv
Year: 2021
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 60J80

description: Critical branching processes in a varying environment behave much the same as critical Galton-Watson processes. In this note we like to confirm this finding with regard to the underlying genealogical structures. In particular, we consider the most recent common ancestor given survival and the corresponding reduced branching processes, in the spirit of Zubkov (1975) and Fleischmann and Siegmund-Schultze (1977).
description: version, as published in the Proc. Steklov Inst. Math
Experimental Investigation of Rock Dynamic Geomechanical Properties at Seismic Frequencies
Creators: Lu, Chuan
Publisher: name: University of Alberta Library
Year: 2022

Time-lapse seismic reservoir monitoring has advanced quickly over the past decade to become a common technique for monitoring subsurface processes, especially for steam and CO2 injection. It has been widely used to determine and monitor changes occurring in a reservoir during hydrocarbon production or injection of water or gas into the reservoir. Petroleum engineers can predict the evolution of pressure and temperature and the saturation of oil, gas, and water during reservoir production with time-lapse seismic data. To understand the changes in seismic attributes during oil and gas production, researchers are challenged to combine rock physics models, geomechanics and laboratory measurements. Traditional laboratory measurement of reservoir rocks is conducted in the high kHz to MHz frequency range, which differs from seismic surveys (0.1-100Hz). Additionally, dynamic moduli determined from the elastic wave velocity and static moduli derived from the slope of a stress-strain curve from a deformational experiment are different for reservoir rocks due to the different strain measurement levels. Consequently, it is valuable to measure both dynamic and static elastic properties of rocks in the laboratory on core scale samples from seismic frequencies to ultrasonic frequencies.

From this perspective, experimental research was undertaken to design reasonable and feasible experimental protocols that guide the infrastructure and process required to conduct seismic frequency dynamic property measurements under shear stress at elevated temperatures. A new experimental system within the Reservoir Geomechanical Research Group at the University of Alberta has the capacity to measure dynamic and static elastic properties at seismic and ultrasonic frequencies under deviatoric stress. This rock physics research is based on stress-strain method, and focus on the temperature, frequency (seismic – 0.01 Hz to 20 Hz) and most critically deformation (both isotropic compressibility and shear stress-induced) dependent properties of the poorly consolidated oil sands and highly overconsolidated (clay) shales associated with the McMurray and Clearwater Formations of NE Alberta. The results were shown that the frequencies within the reservoir are capable of significantly influencing reservoir properties. Acoustic impedance changes 59% at different effective pressures and up to 40% at different frequencies. An interpretation workflow based on the application of the newly gained understanding of frequency-dependent elastic properties was developed and validated by previous experimental studies. The newly acquired seismic frequency properties can then be applied in forwarding modelling using sequentially coupled reservoir geomechanical simulations to assess whether improvements in the a priori predictions of fluid saturations and steam chamber development are altered.
IoTDevID: A Behavior-Based Device Identification Method for the IoT
Creators: name: Kostas, Kahraman
name: Just, Mike
name: Lones, Michael A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cryptography and Security (cs.CR)
subject: Artificial Intelligence (cs.AI)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Device identification is one way to secure a network of IoT devices, whereby devices identified as suspicious can subsequently be isolated from a network. In this study, we present a machine learning-based method, IoTDevID, that recognizes devices through characteristics of their network packets. As a result of using a rigorous feature analysis and selection process, our study offers a generalizable and realistic approach to modelling device behavior, achieving high predictive accuracy across two public datasets. The model's underlying feature set is shown to be more predictive than existing feature sets used for device identification, and is shown to generalize to data unseen during the feature selection process. Unlike most existing approaches to IoT device identification, IoTDevID is able to detect devices using non-IP and low-energy protocols.
description: 8 pages, 5 figures, 8 table. Accepted by IEEE Internet of Things Journal
Combined FEM-SPH simulations for ice in compression
Creators: name: Düchting, Niklas
Publisher: name: TUHH Universitätsbibliothek
Year: 2018
Subjects: subject: FEM
subject: SPH
subject: Finite element method
subject: smoothed particle hydrodynamics
subject: ice
subject: 530: Physik
subject: 620: Ingenieurwissenschaften
subject: 620
subject: 530

description: Within this chapter the outcome of the numerical investigation on a combined FEM-SPH simulation is summed up. The practical approach of this project allows only a rather sim-ple assessment and there are aspects that need to be investigated further. An outlook in-dicates possible aspects for future research. Regarding the correlation of the contact forces the results of the final simulations pre-sented in section 3.3.1 are satisfying. The ability to model the transformation of the ma-terial and to handle large deformation was proven for the combined simulation. The fol-lowing particularities of the combined simulation were discussed: • The Eroding option possibly leads to unphysical stress waves in the structure • The application of two different material models in one simulation is possible • The pressure distribution on the plate is possibly unphysical • The time step size is smaller compared to the SPH simulation and the computation time is as a result 26 times higher compared to the FEM simulation The preliminaries were regarding the innovative character of the combined simulation indispensable and lead to the following remarks: • The contact options have a major effect on the outcome and the computation time • The effect of the SPH particles on the structure before any element has failed and the gap of the contact are issues of the combined simulation • The discretization of the cylinder is challenging and may result in certain irregu-larities • The physical correctness of the material model (Crushable Foam) is doubtful There are many different approaches for the numerical investigation of ice and yet there is not one method that can be seen superior, universal applicable or reliable. The results presented justify further investigation on alternative simulation methods with the focus on a user defined material model. To take full advantage of all the possibilities of a com-bined simulation the materials of the parts should differ. Different failure criteria could be applied to eliminate large distortions in the mesh.
A Large Collection of Real-world Pediatric Sleep Studies
Creators: name: Lee, Harlin
name: Li, Boyue
name: DeForte, Shelly
name: Splaingard, Mark
name: Huang, Yungui
name: Chi, Yuejie
name: Linwood, Simon Lin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Signal Processing (eess.SP)
subject: Applications (stat.AP)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Despite being crucial to health and quality of life, sleep -- especially pediatric sleep -- is not yet well understood. This is exacerbated by lack of access to sufficient pediatric sleep data with clinical annotation. In order to accelerate research on pediatric sleep and its connection to health, we create the Nationwide Children's Hospital (NCH) Sleep DataBank and publish it at Physionet and the National Sleep Research Resource (NSRR), which is a large sleep data common with physiological data, clinical data, and tools for analyses. The NCH Sleep DataBank consists of 3,984 polysomnography studies and over 5.6 million clinical observations on 3,673 unique patients between 2017 and 2019 at NCH. The novelties of this dataset include: 1) large-scale sleep dataset suitable for discovering new insights via data mining, 2) explicit focus on pediatric patients, 3) gathered in a real-world clinical setting, and 4) the accompanying rich set of clinical data. The NCH Sleep DataBank is a valuable resource for advancing automatic sleep scoring and real-time sleep disorder prediction, among many other potential scientific discoveries.
description: Dataset is available at https://sleepdata.org/datasets/nchsdb and https://physionet.org/content/nch-sleep
A novel numerical approach to Fluid-Structure interaction problem
Creators: Usubov, Rahim
Publisher: name: University of Alberta Library
Year: 2022

This work develops numerical methods (finite difference methods) for equations

of fluid dynamics and equations of elasticity reformulated in the stress variables

(as opposed to natural variables) and applies them to the Fluid-Structure Interac-

tion (FSI) problem using a new model based on the level set method. Equations

reformulated in stress variables are the stress formulation. Previously some work

has been done on numerical methods for stress formulation for the Navier-Stokes

equation. This work extends this research to the equations of elasticity. Additionally

the current research develops a new model for FSI problems are based on this stress

formulation and the level set method. Using this model and new numerical method

for FSI problems is developed with some constraints. Some benchmark results are

presented.
Association between e-cigarette use and asthma: a systematic review and meta-analysis
Creators: name: Chand, Benjamin R.
name: Hosseinzadeh, Hassan
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: Increasing e-cigarette use combined with emerging evidence of their respiratory effects raises concerns about their potential impact on asthma prevalence. This review evaluates the most recent available evidence on the association of e-cigarette use and asthma world-wide. A literature search was performed in PubMed, Scopus, CINAHL, Cochrane Library, Web of Science and ProQuest in March 2021. This study was conducted in accordance with the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) registered with PROSPERO (registration number: CRD42020211812) Cross-sectional and cohort studies assessing the association between e-cigarette use and asthma were eligible for inclusion. Studies examining exacerbations in asthma symptoms and severity were excluded. The quality of the included studies was assessed using the Appraisal tool for Cross-Sectional Studies (AXIS). Thirteen cross-sectional studies with the sample size of 1,039,203 met the eligibility criteria. Odds ratios were pooled using a random effects model. Pooled analysis found a significant association between current e-cigarette use and asthma (pOR = 1.36, 95% CI 1.21–1.52) and ever e-cigarette use and asthma (pOR = 1.24 95% CI 1.13–1.36). Our review found that e-cigarette use and ever e-cigarette use are correlated with asthma. However, heterogeneity and inconsistencies between covariates limited the interpretation of the results. This warrants further studies to investigate any potential causal association between e-cigarette use and asthma. No funding was received for this systematic review.
Global Daily CO$_2$ emissions for the year 2020
Creators: name: Liu, Zhu
name: Deng, Zhu
name: Ciais, Philippe
name: Tan, Jianguang
name: Zhu, Biqing
name: Davis, Steven J.
name: Andrew, Robbie
name: Boucher, Olivier
name: Arous, Simon Ben
name: Canadel, Pep
name: Dou, Xinyu
name: Friedlingstein, Pierre
name: Gentine, Pierre
name: Guo, Rui
name: Hong, Chaopeng
name: Jackson, Robert B.
name: Kammen, Daniel M.
name: Ke, Piyu
name: Quere, Corinne Le
name: Monica, Crippa
name: Janssens-Maenhout, Greet
name: Peters, Glen
name: Tanaka, Katsumasa
name: Wang, Yilong
name: Zheng, Bo
name: Zhong, Haiwang
name: Sun, Taochun
name: Schellnhuber, Hans Joachim
Publisher: name: arXiv
Year: 2021
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: General Economics (econ.GN)
subject: FOS: Physical sciences
subject: FOS: Economics and business

description: The diurnal cycle CO$_2$ emissions from fossil fuel combustion and cement production reflect seasonality, weather conditions, working days, and more recently the impact of the COVID-19 pandemic. Here, for the first time we provide a daily CO$_2$ emission dataset for the whole year of 2020 calculated from inventory and near-real-time activity data (called Carbon Monitor project: https://carbonmonitor.org). It was previously suggested from preliminary estimates that did not cover the entire year of 2020 that the pandemics may have caused more than 8% annual decline of global CO$_2$ emissions. Here we show from detailed estimates of the full year data that the global reduction was only 5.4% (-1,901 MtCO$_2$, ). This decrease is 5 times larger than the annual emission drop at the peak of the 2008 Global Financial Crisis. However, global CO$_2$ emissions gradually recovered towards 2019 levels from late April with global partial re-opening. More importantly, global CO$_2$ emissions even increased slightly by +0.9% in December 2020 compared with 2019, indicating the trends of rebound of global emissions. Later waves of COVID-19 infections in late 2020 and corresponding lockdowns have caused further CO$_2$ emissions reductions particularly in western countries, but to a much smaller extent than the declines in the first wave. That even substantial world-wide lockdowns of activity led to a one-time decline in global CO$_2$ emissions of only 5.4% in one year highlights the significant challenges for climate change mitigation that we face in the post-COVID era. These declines are significant, but will be quickly overtaken with new emissions unless the COVID-19 crisis is utilized as a break-point with our fossil-fuel trajectory, notably through policies that make the COVID-19 recovery an opportunity to green national energy and development plans.
Stability analysis of reaction-diffusion PDEs coupled at the boundaries with an ODE
Creators: name: Lhachemi, Hugo
name: Prieur, Christophe
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Systems and Control (eess.SY)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper addresses the derivation of generic and tractable sufficient conditions ensuring the stability of a coupled system composed of a reaction-diffusion partial differential equation (PDE) and a finite-dimensional linear time invariant ordinary differential equation (ODE). The coupling of the PDE with the ODE is located either at the boundaries or in the domain of the reaction-diffusion equation and takes the form of the input and output of the ODE. We investigate boundary Dirichlet/Neumann/Robin couplings, as well as in-domain Dirichlet/Neumann couplings. The adopted approach relies on the spectral reduction of the problem by projecting the trajectory of the PDE into a Hilbert basis composed of the eigenvectors of the underlying Sturm-Liouville operator and yields a set of sufficient stability conditions taking the form of LMIs. We propose numerical examples, consisting of an unstable reaction-diffusion equation and an unstable ODE, such that the application of the derived stability conditions ensure the stability of the resulting coupled PDE-ODE system.
Analysis of an Alternate Policy Gradient Estimator for Softmax Policies
Creators: Garg, Shivam
Publisher: name: University of Alberta Library
Year: 2022

Policy gradient (PG) estimators are ineffective in dealing with softmax policies that are sub-optimally saturated, which refers to the situation when the policy concentrates its probability mass on sub-optimal actions. Sub-optimal policy saturation may arise from a bad policy initialization or a sudden change, i.e. a non-stationarity, in the environment that occurs after the policy has already converged. Unfortunately, current softmax PG estimators require a large number of updates to overcome policy saturation, which causes low sample efficiency and poor adaptability to new situations. To mitigate this problem, we propose a novel policy gradient estimator for softmax policies that utilizes the bias in the critic estimate and the noise present in the reward signal to escape the saturated regions of the policy parameter space. Our experiments, conducted on bandits and various reinforcement learning environments, and the resulting analysis show that this new estimator is more robust to policy saturation, and can be readily adapted to work with different PG algorithms and function approximation schemes.
Leucanthemum praecox Horvatic
Creators: name: Info Flora
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Asterales
Asteraceae
Leucanthemum
Leucanthemum praecox

description: Leucanthemum praecox (Horvatić) Horvatić
Frühe Wiesen-Margerite
Art ISFS: 236700 Checklist: 1026700 Asteraceae Leucanthemum Leucanthemum vulgare aggr. Leucanthemum praecox (Horvatić) Horvatić
Bestimmungsschlüssel
Zusammenfassung
Artbeschreibung (nach Lauber & al. 2018): Stängel meist verzweigt und mehrköpfig. Stängelblätter fiederteilig, ihre Abschnitte mindestens halb so lang wie die Blattbreite, obere den Stängel mit 3-8 mm langen, schmalen, zerschlitzten Zipfeln umfassend. Früchte 1,5- 2 mm lang.
Blütezeit (nach Lauber & al. 2018): 5-9
Standort und Verbreitung in der Schweiz (nach Lauber & al. 2018): Wegränder, Wiesen, Erdanrisse / kollin-montan(-alpin) / CH zerstreut
Verbreitung global (nach Lauber & al. 2018): Verbreitung nicht genau bekannt
Ökologische Zeigerwerte (nach Landolt & al. 2010) 2 + 33-44 + 4.h.2n=18
Ökologie
Lebensform Mehrjähriger Hemikryptophyt
Lebensraum Lebensraumnach Delarze & al. 2015
KEINE ANGABE
Ökologische Zeigerwerte nach Landolt & al. (2010)
BodenfaktorenKlimafaktorenSalztoleranzFeuchtezahl FfrischLichtzahl LhellSalzzeichen--Reaktionszahl Rschwach sauer bis neutral (pH 4.5-7.5)Temperaturzahl Twarm-kollinNährstoffzahl Nmässig nährstoffarm bis mässig nährstoffreichKontinentalitätszahl Ksubkontinental (niedrige relative Luftfeuchtigkeit, grosse Temperaturschwankungen, eher kalte Winter)
Nomenklatur
Gültiger Name (Checklist 2017):Leucanthemum praecox( Horvatić ) Horvatić
Volksname Deutscher Name: Frühe Wiesen-Margerite Nom français: Marguerite précoce Nome italiano: Margherita comune
Übereinstimmung mit anderen Referenzwerken
RelationNomReferenzwerkeNo=Leucanthemum praecox (Horvatić) HorvatićChecklist 2017236700=Leucanthemum praecox (Horvatić) HorvatićFlora Helvetica 20182127=Leucanthemum praecox (Horvatic) HorvaticSISF/ISFS 2236700
= Taxon stimmt mit akzeptiertem Taxon überein (Checklist 2017)  Taxon enthält (neben anderen) auch das akzeptierte Taxon (Checklist 2017)
Kommentare aus der Checklist 2017 Neuer Status: Das Taxon hatte im SISF-2 den Status «I» eines eingeschlossenen Namens und ist neu als gültiger Name akzeptiert. Die ungültige oder fehlerhafte Autorangabe (Autorenzitat) wurde korrigiert. Checklist
Status Indigenat: Neophyt: nach der Entdeckung von Amerika in der Region aufgetreten (nach 1500)
Liste der gefährdeten Pflanzen IUCN(nach Walter & Gillett 1997): Nein
description: Published as part of Info Flora, 2021,
Application of Artificial Intelligence in Hip Ultrasound and its Performance in Detecting Developmental Dysplasia of the Hip
Creators: Ghasseminia, Siyavash
Publisher: name: University of Alberta Library
Year: 2022

Developmental Dysplasia of Hip (DDH) which represents a wide range of abnormalities from acetabular dysplasia to fixed dislocation, is mainly defined by a loss of conformity between the femoral head and the acetabulum and it can lead to structural instability and osteoarthritis. The diagnosis of DDH on ultrasound is mainly based on Graf method. It is primarily focused on obtaining a single high-quality coronal 2D image containing elements such as acetabulum, ilium, and round femoral head. Graf method on 2DUS not only suffers from low inter and intra- rater agreement, but its reproducibility has also been shown to decline over time. Recording ‘sweep’ images allows more comprehensive hip assessment and introduces opportunities for automation by artificial intelligence (AI). In this thesis, agreement between readers with various background and expertise and an AI algorithm in detecting DDH is assessed. Additionally, this thesis evaluates the accuracy of AI in classification of DDH from 3DUS and its correlation with conventional clinical 2DUS.
Microwave Properties Of Screen Printed Carbon Nanotubes Thick Film
Creators: name: Phadtare, Varsha D.
name: Kulkarni, Gopal K.
name: Puri, Vijaya R.
Publisher: name: Zenodo
Year: 2018

description: The talk presented at 29th Annual General Meeting Of Materials Research Society Of India And National Symposium On Advances In Functional And Exotic Materials.