cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Visual Analysis of Multivariate Intensive Care Surveillance Data
Creators: name: Brich, Nicolas
name: Schulz, Christoph
name: Peter, Jörg
name: Klingert, Wilfried
name: Schenk, Martin
name: Weiskopf, Daniel
name: Krone, Michael
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Applied computing
Health care information systems
Mathematics of computing
Time series analysis
Dimensionality reduction
Human centered computing
Information visualization

description: We present an approach for visual analysis of high-dimensional measurement data with varying sampling rates in the context of an experimental post-surgery study performed on a porcine surrogate model. The study aimed at identifying parameters suitable for diagnosing and prognosticating the volume state-a crucial and difficult task in intensive care medicine. In intensive care, most assessments not only depend on a single measurement but a plethora of mixed measurements over time. Even for trained experts, efficient and accurate analysis of such multivariate time-dependent data remains a challenging task. We present a linked-view post hoc visual analysis application that reduces data complexity by combining projection-based time curves for overview with small multiples for details on demand. Our approach supports not only the analysis of individual patients but also the analysis of ensembles by adapting existing techniques using non-parametric statistics. We evaluated the effectiveness and acceptance of our application through expert feedback with domain scientists from the surgical department using real-world data: the results show that our approach allows for detailed analysis of changes in patient state while also summarizing the temporal development of the overall condition. Furthermore, the medical experts believe that our method can be transferred from medical research to the clinical context, for example, to identify the early onset of a sepsis.
description: Eurographics Workshop on Visual Computing for Biology and Medicine
description: VA and Uncertainty
description: 71
description: 83
description: Nicolas Brich, Christoph Schulz, Jörg Peter, Wilfried Klingert, Martin Schenk, Daniel Weiskopf, and Michael Krone
description: CCS Concepts: Applied computing --> Health care information systems; Mathematics of computing --> Time series analysis; Dimensionality reduction; Human-centered computing --> Information visualization
Robust Magnetometry with Single NV Centers via Two-step Optimization
Creators: name: Oshnik, Nimba
name: Rembold, Phila
name: Calarco, Tommaso
name: Montangero, Simone
name: Neu, Elke
name: Müller, Matthias M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Shallow Nitrogen-Vacancy (NV) centers are promising candidates for high-precision sensing applications; these defects, when positioned a few nanometers below the surface, provide an atomic-scale resolution along with substantial sensitivity. However, the dangling bonds and impurities on the diamond surface result in a complex environment which reduces the sensitivity and is unique to each shallow NV center. To avoid the environment's detrimental effect, we apply feedback-based quantum optimal control. We first show how a direct search can improve the initialization/readout process. In a second step, we optimize microwave pulses for pulsed Optically Detected Magnetic Resonance (ODMR) and Ramsey measurements. Throughout the sensitivity optimizations, we focus on robustness against errors in the control field amplitude. This feature not only protects the protocols' sensitivity from drifts but also enlarges the sensing volume. The resulting ODMR measurements produce sensitivities below 1$μ$T\,Hz$^{-\frac{1}{2}}$ for an 83\% decrease in control power, increasing the robustness by approximately one third. The optimized Ramsey measurements produce sensitivities below 100\,nT\,Hz$^{-\frac{1}{2}}$ giving a two-fold sensitivity improvement. Being on par with typical sensitivities obtained via single NV magnetometry, the complementing robustness of the presented optimization strategy may provide an advantage for other NV-based applications.
description: 16 pages, 11 figures
Automatic Acoustic Object Detection - An overview of perception in the underwater world, and proposed methodology
Creators: name: Nilsen, Martin Johannes
name: Hestnes, Arne Johan
name: Gulaker, Kristian
Publisher: name: Zenodo
Year: 2023

description: Training material from the HiAOOS Applied AI for Underwater Acoustics workshop, held in Bergen, Norway, 11 December 2023.
GLANCE: Visual Analytics for Monitoring Glaucoma Progression
Creators: name: Brandt, Astrid Van Den
name: Christopher, Mark
name: Zangwill, Linda M.
name: Rezapour, Jasmin
name: Bowd, Christopher
name: Baxter, Sally L.
name: Welsbie, Derek S.
name: Camp, Andrew
name: Moghimi, Sasan
name: Do, Jiun L.
name: Weinreb, Robert N.
name: Snijders, Chris C. P.
name: Westenberg, Michel A.
Publisher: name: The Eurographics Association
Year: 2020

description: Deep learning is increasingly used in the field of glaucoma research. Although deep learning models can achieve high accuracy, issues with trust, interpretability, and practical utility form barriers to adoption in clinical practice. In this study, we explore whether and how visualizations of deep learning-based measurements can be used for glaucoma management in the clinic. Through iterative design sessions with ophthalmologists, vision researchers, and manufacturers of optical coherence tomography (OCT) instruments, we distilled four main tasks, and designed a visualization tool that incorporates a visual field (VF) prediction model to provide clinical decision support in managing glaucoma progression. The tasks are: (1) assess reliability of a prediction, (2) understand why the model made a prediction, (3) alert to features that are relevant, and (4) guide future scheduling of VFs. Our approach is novel in that it considers utility of the system in a clinical context where time is limited. With use cases and a pilot user study, we demonstrate that our approach can aid clinicians in clinical management decisions and obtain appropriate trust in the system. Taken together, our work shows how visual explanations of automated methods can augment clinicians' knowledge and calibrate their trust in DL-based measurements during clinical decision making.
description: Eurographics Workshop on Visual Computing for Biology and Medicine
description: VA and Uncertainty
description: 85
description: 96
description: Astrid van den Brandt, Mark Christopher, Linda M. Zangwill, Jasmin Rezapour, Christopher Bowd, Sally L. Baxter, Derek S. Welsbie, Andrew Camp, Sasan Moghimi, Jiun L. Do, Robert N. Weinreb, Chris C. P. Snijders, and Michel A. Westenberg
Rhaponticum coniferum Greuter
Creators: name: Info Flora
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Asterales
Asteraceae
Rhaponticum
Rhaponticum coniferum

description: Rhaponticum coniferum (L.) Greuter
Art ISFS: 343850 Checklist: 1026770 Asteraceae Rhaponticum Rhaponticum coniferum (L.) Greuter
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):Rhaponticum coniferum(L.) Greuter
Volksname
Deutscher Name: -- Nom français: -- Nome italiano: --
Übereinstimmung mit anderen Referenzwerken
RelationNomReferenzwerkeNo=Rhaponticum coniferum (L.) GreuterChecklist 2017343850=Leuzea conifera (L.) DC.Index synonymique 1996237300=Leuzea conifera (L.) DC.Landolt 19772996=Leuzea conifera (L.) DC.SISF/ISFS 2237300
= Taxon stimmt mit akzeptiertem Taxon überein (Checklist 2017)  Taxon enthält (neben anderen) auch das akzeptierte Taxon (Checklist 2017)
Kommentare aus der Checklist 2017 Umstrittenes Konzept: Das Taxon wird auch den Gattungen Stemmacantha oder Centaurea zugeordnet. Checklist
Status Indigenat: -
Liste der gefährdeten Pflanzen IUCN(nach Walter & Gillett 1997): Nein
description: Published as part of Info Flora, 2021,
Uncertainty-aware Brain Lesion Visualization
Creators: name: Gillmann, Christina
name: Saur, Dorothee
name: Wischgoll, Thomas
name: Hoffmann, Karl-Titus
name: Hagen, Hans
name: Maciejewski, Ross
name: Scheuermann, Gerik
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Medical Visualization
Uncertainty Visualization
Brain Lesion Visualization

description: A brain lesion is an area of tissue that has been damaged through injury or disease. Its analysis is an essential task for medical researchers to understand diseases and find proper treatments. In this context, visualization approaches became an important tool to locate, quantify, and analyze brain lesions. Unfortunately, image uncertainty highly effects the accuracy of the visualization output. These effects are not covered well in existing approaches, leading to miss-interpretation or a lack of trust in the analysis result. In this work, we present an uncertainty-aware visualization pipeline especially designed for brain lesions. Our method is based on an uncertainty measure for image data that forms the input of an uncertainty-aware segmentation approach. Here, medical doctors can determine the lesion in the patient's brain and the result can be visualized by an uncertainty-aware geometry rendering. We applied our approach to two patient datasets to review the lesions. Our results indicate increased knowledge discovery in brain lesion analysis that provides a quantification of trust in the generated results.
description: Eurographics Workshop on Visual Computing for Biology and Medicine
description: VA and Uncertainty
description: 97
description: 101
description: Christina Gillmann, Dorothee Saur, Thomas Wischgoll, Karl-Titus Hoffmann, Hans Hagen, Ross Maciejewski, and Gerik Scheuermann
description: Keywords: Medical Visualization, Uncertainty Visualization, Brain Lesion Visualization
LC-MS/MS quantitation of bioactive proteins and peptides during sourdough breadmaking
Creators: Savanna Won
Publisher: name: University of Alberta Library
Year: 2022

Sourdough involves the fermentation of flour with yeast and lactic acid bacteria and is increasingly capturing the interests of industrial and artisanal bakers. It modifies wheat proteins through pH-dependent proteolysis and accumulation of low molecular weight thiols, such as glutathione (GSH). By altering protein structure, sourdough may reduce the bioactivity of wheat allergens, such as α-amylase/trypsin inhibitors (ATI). The purpose of this investigation was to develop LC-MS/MS approaches to quantify the ATI protein CM3 and GSH in sourdough during breadmaking to understand how fermentation affects their abundances. GSH and CM3 were extracted from wheat sourdough, MRM-based methods were designed, and the analytes were quantified using LC-QTRAP MS. Doughs were prepared using two wheat cultivars, Red Fife and Brennan, and fermented with Fructilactobacillus sanfranciscensis, F. sanfranciscensis ΔgshR and Latilactobacillus sakei; chemically acidified dough and straight dough served as controls. The abundance of GSH in wheat flour was 35-55 nmol/g flour. Across all treatments, GSH decreased after mixing and after proofing, but increased after baking (P<0.001). CM3 relative abundance remained similar after mixing and after proofing but decreased after baking (P<0.001), regardless of fermentation. This trend was supported by SDS-PAGE analysis of the extracts (P<0.001). Overall, the general baking process exerted a greater effect on GSH and CM3 abundance than individual fermentation conditions. Application of LC-MS/MS for analysis of CM3 and GSH will be valuable in elucidating the ability of sourdough to modify wheat allergens for increased tolerability by wheat sensitive consumers.
Ultrastrong Coupling of a Qubit with a Nonlinear Optical Resonator
Creators: name: Mauceri, Fabio
name: Mercurio, Alberto
name: Savasta, Salvatore
name: Di Stefano, Omar
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: We study the interaction of a two-level atom with a single-mode nonlinear electromagnetic resonator, considering coupling strengths ranging from zero to the so-called deep strong coupling regime. When the qubit-resonator coupling is very strong, the standard Kerr model for the resonator becomes questionable. Moreover, recently, it has been shown that extra care is needed when constructing gauge-independent theories in the presence of approximations as the truncation of the Hilbert space of the matter system. Such a truncation can ruin gauge invariance leading to non-physical results, especially when the light-matter interactions strength is very high. Here we face and solve this issues to provide a consistent nonlinear-resonator quantum Rabi model satisfying the gauge principle.
description: 10 pages, 4 figures
Analyzing Protein Similarity by Clustering Molecular Surface Maps
Creators: name: Schatz, Karsten
name: Frieß, Florian
name: Schäfer, Marco
name: Ertl, Thomas
name: Krone, Michael
Publisher: name: The Eurographics Association
Year: 2020
Subjects: subject: Human centered computing
subject: Dendrograms
subject: Scientific visualization
subject: Applied computing
subject: Bioinformatics
subject: FOS: Computer and information sciences

description: Many biochemical and biomedical applications like protein engineering or drug design are concerned with finding functionally similar proteins, however, this remains to be a challenging task. We present a new imaged-based approach for identifying and visually comparing proteins with similar function that builds on the hierarchical clustering of Molecular Surface Maps. Such maps are two-dimensional representations of complex molecular surfaces and can be used to visualize the topology and different physico-chemical properties of proteins. Our method is based on the idea that visually similar maps also imply a similarity in the function of the mapped proteins. To determine map similarity we compute descriptive feature vectors using image moments, color moments, or a Convolutional Neural Network and use them for a hierarchical clustering of the maps. We show that image similarity as found by our clustering corresponds to functional similarity of mapped proteins by comparing our results to the BRENDA database, which provides a hierarchical function-based annotation of enzymes. We also compare our results to the TM-score, which is a similarity value for pairs of arbitrary proteins. Our visualization prototype supports the entire workflow from map generation, similarity computing to clustering and can be used to interactively explore and analyze the results.
description: Eurographics Workshop on Visual Computing for Biology and Medicine
description: Proteins
description: 103
description: 114
description: Karsten Schatz, Florian Frieß, Marco Schäfer, Thomas Ertl, and Michael Krone
description: CCS Concepts: Human-centered computing --> Dendrograms; Scientific visualization; Applied computing --> Bioinformatics
Rudbeckia hirta L.
Creators: name: Info Flora
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Asterales
Asteraceae
Rudbeckia
Rudbeckia hirta

description: Rudbeckia hirta L.
Rauer Sonnenhut
Art ISFS: 358700 Checklist: 1040120 Asteraceae Rudbeckia Rudbeckia hirta L.
Bestimmungsschlüssel
Zusammenfassung
Artbeschreibung (nach Lauber & al. 2018): Ähnlich wie R.laciniata, aber nur 30-70 (-100) cm hoch, Pflanze rauhaarig, Blätter ungeteilt, oval bis lanzettlich, fein gezähnt oder ganzrandig, Kopfdurchmesser 6-10 cm, Zungenblüten 10-20, 2-4 cm lang, Röhrenblüten dunkelbraun bis schwarz, Spreublätter spitz, schwarz berandet, Früchte 1,5- 3 mm lang, ohne Pappus.
Blütezeit (nach Lauber & al. 2018): 7-10
Standort und Verbreitung in der Schweiz (nach Lauber & al. 2018): Ufer, Auenwälder, Schuttplätze, Autobahnböschungen, verwildert oder angesät / kollin /
Verbreitung global (nach Lauber & al. 2018): Stammt aus Nordamerika
Ökologische Zeigerwerte (nach Landolt & al. 2010) 3w44-44 + 3.h-t.2n=38
Ökologie
Lebensform Mehrjähriger Hemikryptophyt, Therophyt
Lebensraum Lebensraumnach Delarze & al. 2015
KEINE ANGABE
Ökologische Zeigerwerte nach Landolt & al. (2010)
BodenfaktorenKlimafaktorenSalztoleranzFeuchtezahl Fmässig feucht; Feuchtigkeit mässig wechselnd (± 1-2 Stufen)Lichtzahl LhellSalzzeichen--Reaktionszahl Rneutral bis basisch (pH 5.5-8.5)Temperaturzahl Twarm-kollinNährstoffzahl NnährstoffreichKontinentalitätszahl Ksubozeanisch bis subkontinental (mittlere Luftfeuchtigkeit, mässige Temperaturschwankungen und mässig tiefe Wintertemperaturen)
Nomenklatur
Gültiger Name (Checklist 2017):Rudbeckia hirtaL.
Volksname Deutscher Name: Rauer Sonnenhut, Raue Rudbeckie Nom français: Rudbeckie hérissée Nome italiano: Rudbeckia scabra
Übereinstimmung mit anderen Referenzwerken
RelationNomReferenzwerkeNo=Rudbeckia hirta L.Checklist 2017358700=Rudbeckia hirta L.Flora Helvetica 20012088=Rudbeckia hirta L.Flora Helvetica 20122079=Rudbeckia hirta L.Flora Helvetica 20182079=Rudbeckia hirta L.Index synonymique 1996358700=Rudbeckia hirta L.Landolt 19773111=Rudbeckia hirta L.SISF/ISFS 2358700
= Taxon stimmt mit akzeptiertem Taxon überein (Checklist 2017)  Taxon enthält (neben anderen) auch das akzeptierte Taxon (Checklist 2017)
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,
Real-Time Visualization of 3D Amyloid-Beta Fibrils from 2D Cryo-EM Density Maps
Creators: name: Kniesel, Hannah
name: Ropinski, Timo
name: Hermosilla, Pedro
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Human centered computing
Scientific visualization
Computing methodologies
Rendering
Computer graphics

description: Amyloid-beta fibrils are the result of the accumulation of misfolded amyloid precursor proteins along an axis. These fibrils play a crucial role in the development of Alzheimer's disease, and yet its creation and structure are not fully understood. Visualization is often used to understand the structure of such fibrils. Unfortunately, existing algorithms require high memory consumption limiting their applications. In this paper, we introduce a ray marching algorithm that takes advantage of the inherent repetition in these atomic structures, requiring only a 2D density map to represent the fibril. During ray marching, the texture coordinates are transformed based on the position of the sample along the longitudinal axis, simulating the rotation of the fibrils. Our algorithm reduces memory consumption by a large margin and improves GPU cache hits, making it suitable for real-time visualizations. Moreover, we present several shading algorithms for this type of data, such as shadows or ambient occlusion, in order to improve perception. Lastly, we provide a simple yet effective algorithm to communicate the uncertainty introduced during reconstruction. During the evaluation process, we were able to show, that our approach not only outperforms the Standard Volume Rendering method by significantly lower memory consumption and high image quality for low resolution 2D density maps but also in performance.
description: Eurographics Workshop on Visual Computing for Biology and Medicine
description: Proteins
description: 115
description: 125
description: Hannah Kniesel, Timo Ropinski, and Pedro Hermosilla
description: CCS Concepts: Human-centered computing --> Scientific visualization; Computing methodologies --> Rendering; Computer graphics
Predicted $Λ\barΛ$ and $Ξ^-\barΞ^+$ decay modes of the charmoniumlike $Y(4230)$
Creators: name: Qian, Ri-Qing
name: Huang, Qi
name: Liu, Xiang
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: In this work, we predict the light hadronic decay channels $Y(4230)\toΛ\barΛ$ and $Ξ^-\barΞ^+$ when treating the $Y(4230)$ as a vector charmonium state. By the hadronic loop mechanism, the branching ratios of the $Y(4230)\toΛ\barΛ$ and $Ξ^-\barΞ^+$ processes are calculated. In addition, we discuss the possibility of carrying out the search for the signal of the $Y(4230)$ through $Λ\barΛ$ and $Ξ^-\barΞ^+$ channels from the $e^+e^-$ annihilation. Assuming $Y(4230)$ exist in $Λ\barΛ$ and $Ξ^-\barΞ^+$ channel, we also present the time-like electromagnetic form factors (EMFFs) at $\sqrt{s}=m_{Y(4230)}$.
description: 8 pages, 9 figures and 2 tables
Aneulysis - A System for Aneurysm Data Analysis
Creators: name: Meuschke, Monique
name: Wickenhöfer, Ralph
name: Preim, Bernhard
name: Lawonn, Kai
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Computer Graphics
Computer Applications
Life and Medical Sciences

description: We present ANEULYSIS, a system to improve risk assessment and treatment planning of cerebral aneurysms. Aneurysm treatment must be carefully examined as there is a risk of fatal outcome during surgery. Aneurysm growth, rupture, and treatment success depend on the interplay of vascular morphology and hemodynamics. Blood flow simulations can obtain the patient-specific hemodynamics. However, analyzing the time-dependent, multi-attribute data is time-consuming and error-prone. ANEULYSIS supports the analysis and visual exploration of aneurysm data including morphological and hemodynamic attributes. Since this is an interdisciplinary process involving both physicians and fluid mechanics experts, we provide a redundancy-free management of aneurysm data sets according to a consistent structure. Major contributions are an improved analysis of morphological aspects, simultaneous evaluation of wall- and flow-related characteristics as well as multiple attributes on the vessel wall, the assessment of mechanical wall processes as well as an automatic classification of the internal flow behavior. It was designed and evaluated in collaboration with domain experts who confirmed its usefulness and clinical necessity.
description: Eurographics Workshop on Visual Computing for Biology and Medicine
description: Vascular and Flow
description: 127
description: 138
description: Monique Meuschke, Ralph Wickenhöfer, Bernhard Preim, and Kai Lawonn
description: CCS Concepts: Computing methodologies --> Computer Graphics; Computer Applications --> Life and Medical Sciences
The Impact  of Grazing Management System on Producer Wealth in Alberta
Creators: Wheeler, Kyle D
Publisher: name: University of Alberta Library
Year: 2022

This project sought to determine the effect of grazing management decisions on operation wealth; specifically, to determine both the wealth maximizing system for producers and to determine the impact on producers who adopt more intensive management systems. Adoption of four grazing management treatments, corresponding to one, eight, 50, and 115 paddocks, were modelled for representative cow-calf operations in three locations, the Boreal Transition (Lac Ste. Anne County), Aspen Parkland (Ponoka County) and Mixed Grassland/Prairie (Newell County) of Alberta, Canada. In all locations and for all treatments, a cow calf exclusive operation with a 700 head initial herd and a mixed cow calf-cropping operation with a 150 head initial herd were modeled.

    The study used expected wealth maximization to compare systems. Net Present Value (NPV) was used as a proxy for wealth. NPV was calculated over a 20-year horizon, using values generated by Monte Carlo simulation. Both production risk (i.e., pasture productivity) and market risk (i.e., beef prices and purchased feed prices) were modeled in the simulation.

Results for the representative operations suggest that using eight paddocks is the wealth maximizing system across most of Alberta, and that the more intensive systems perform worse than the single paddock system in most cases, with higher associated risk. Even with higher than assumed benefits to more intensive grazing, the eight paddock system still often out-perform more intensive grazing systems. As there are potential environmental benefits associated with more intensive grazing, and these systems are costly and risky for producers to adopt, policy intervention will likely be necessary to incentivize the provision of these benefits, given the cost of adoption.
Thermal Evaporation Technique To Prepare Zro2 Doped Tio2 Thin Film On Si Substrate
Creators: name: A. Mohamed Saleem
name: S. Nivetha
name: K. Kaviyarasu
name: A. Ayeshamariam
name: N. Punithavelan
name: M. Jayachandran
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.
Interactive Visual Similarity Analysis of Measured and Simulated Multi-field Tubular Flow Ensembles
Creators: name: Leistikow, Simon
name: Nahardani, Ali
name: Hoerr, Verena
name: Linsen, Lars
Publisher: name: The Eurographics Association
Year: 2020

description: Tubular flow analysis plays an important role in many fields, such as for blood flow analysis in medicine, e.g., for the diagnosis of cardiovascular diseases and treatment planning. Phase-contrast magnetic resonance imaging (PC-MRI) allows for noninvasive in vivo-measurements of such tubular flow, but may suffer from imaging artifacts. New acquisition techniques (or sequences) that are being developed to increase image quality and reduce measurement time have to be validated against the current clinical standard. Computational Fluid Dynamics (CFD), on the other hand, allows for simulating noise-free tubular flow, but optimization of the underlying model depends on multiple parameters and can be a tedious procedure that may run into local optima. Data assimilation is the process of optimally combining the data from both PC-MRI and CFD domains. We present an interactive visual analysis approach to support domain experts in the above-mentioned fields by addressing PC-MRI and CFD ensembles as well as their combination. We develop a multi-field similarity measure including both scalar and vector fields to explore common hemodynamic parameters, and visualize the evolution of the ensemble similarities in a low-dimensional embedding. Linked views to spatial visualizations of selected time steps support an in-detail analysis of the spatio-temporal distribution of differences. To evaluate our system, we reached out to experts from the PC-MRI and CFD domains and summarize their feedback.
description: Eurographics Workshop on Visual Computing for Biology and Medicine
description: Vascular and Flow
description: 139
description: 150
description: Simon Leistikow, Ali Nahardani, Verena Hoerr, and Lars Linsen
A Quantum Approach to the Discretizable Molecular Distance Geometry Problem
Creators: name: Lavor, Carlile
name: Marquezino, Franklin
name: Oliveira, Andres
name: Portugal, Renato
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The Discretizable Molecular Distance Geometry Problem (DMDGP) aims to determine the three-dimensional protein structure using distance information from nuclear magnetic resonance experiments. The DMDGP has a finite number of candidate solutions and can be solved by combinatorial methods. We describe a quantum approach to the DMDGP by using Grover's algorithm with an appropriate oracle function, which is more efficient than classical methods that use brute force. We show computational results by implementing our scheme on IBM quantum computers with a small number of noisy qubits.
description: 17 pages
VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data
Creators: name: Thamm, Florian
name: Jürgens, Markus
name: Ditt, Hendrik
name: Maier, Andreas
Publisher: name: The Eurographics Association
Year: 2020
Subjects: Computing methodologies
Image segmentation
Search with partial observations
Human centered computing
Visualization

description: Computed Tomography Angiography (CTA) is one of the most commonly used modalities in the diagnosis of cerebrovascular diseases like ischemic strokes. Usually, the anatomy of interest in ischemic stroke cases is the Circle of Willis and its peripherals, the cerebral arteries, as these vessels are the most prominent candidates for occlusions. The diagnosis of occlusions in these vessels remains challenging, not only because of the large amount of surrounding vessels but also due to the large number of anatomical variants. We propose a fully automated image processing and visualization pipeline, which provides a full segmentation and modelling of the cerebral arterial tree for CTA data. The model itself enables the interactive masking of unimportant vessel structures e.g. veins like the Sinus Sagittalis, and the interactive planning of shortest paths meant to be used to prepare further treatments like a mechanical thrombectomy. Additionally, the algorithm automatically labels the cerebral arteries (Middle Cerebral Artery left and right, Anterior Cerebral Artery short, Posterior Cerebral Artery left and right) detects occlusions or interruptions in these vessels. The proposed pipeline does not require a prior non-contrast CT scan and achieves a comparable segmentation appearance as in a Digital Subtraction Angiography (DSA).
description: Eurographics Workshop on Visual Computing for Biology and Medicine
description: Vascular and Flow
description: 151
description: 155
description: Florian Thamm, Markus Jürgens, Hendrik Ditt, and Andreas Maier
description: CCS Concepts: Computing methodologies --> Image segmentation; Search with partial observations; Human-centered computing --> Visualization
Rudbeckia laciniata L.
Creators: name: Info Flora
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Asterales
Asteraceae
Rudbeckia
Rudbeckia laciniata

description: Rudbeckia laciniata L.
Schlitzblättriger Sonnenhut
Art ISFS: 358800 Checklist: 1040130 Asteraceae Rudbeckia Rudbeckia laciniata L.
Bestimmungsschlüssel
Zusammenfassung
Artbeschreibung (nach Lauber & al. 2018): 50-200 cm hoch, verzweigt. Stängel zerstreut behaart bis kahl. Untere Blätter gefiedert, obere 3-5teilig, zerstreut rauhaarig. Köpfe einzeln, lang gestielt, Durchmesser 7-12 cm. Zungenblüten 6-10, 2-6 cm lang, gelb. Röhrenblüten grünlich-braun. Blütenboden hoch gewölbt, mit stumpfen, hell berandeten Spreublättern. Früchte 4-5 mm lang, mit kurzem, 4 zähnigem Pappus.
Blütezeit (nach Lauber & al. 2018): 7-10
Standort und Verbreitung in der Schweiz (nach Lauber & al. 2018): Ufer, Auenwälder, Schuttplätze, Autobahnböschungen, verwildert oder angesät / kollin /
Verbreitung global (nach Lauber & al. 2018): Stammt aus Nordamerika
Ökologische Zeigerwerte (nach Landolt & al. 2010) 3 + w + 44-34 + 3.g.2n=36,38,64-102
Ökologie
Lebensform Geophyt
Lebensraum Lebensraumnach Delarze & al. 2015
5.1.3 - Feuchter Krautsaum (Tieflagen) (Convolvulion)7.1.1 - Feuchte Trittflur (Agropyro-Rumicion)
fett Dominante Art, welche das Aussehen des Lebensraumes mitprägt Charakterart Weniger strikt an den Lebensraum gebundene Art
Ökologische Zeigerwerte nach Landolt & al. (2010)
BodenfaktorenKlimafaktorenSalztoleranzFeuchtezahl Ffeucht; Feuchtigkeit stark wechselnd (mehr als ± 2 Stufen)Lichtzahl LhalbschattigSalzzeichen--Reaktionszahl Rneutral bis basisch (pH 5.5-8.5)Temperaturzahl Twarm-kollinNährstoffzahl NnährstoffreichKontinentalitätszahl Ksubozeanisch bis subkontinental (mittlere Luftfeuchtigkeit, mässige Temperaturschwankungen und mässig tiefe Wintertemperaturen)
Nomenklatur
Gültiger Name (Checklist 2017):Rudbeckia laciniataL.
Volksname Deutscher Name: Schlitzblättriger Sonnenhut, Schlitzblättrige Rudbeckie Nom français: Rudbeckie découpée Nome italiano: Rudbeckia comune
Übereinstimmung mit anderen Referenzwerken
RelationNomReferenzwerkeNo=Rudbeckia laciniata L.Checklist 2017358800=Rudbeckia laciniata L.Flora Helvetica 20012087=Rudbeckia laciniata L.Flora Helvetica 20122080=Rudbeckia laciniata L.Flora Helvetica 20182080=Rudbeckia laciniata L.Index synonymique 1996358800=Rudbeckia laciniata L.Landolt 19773110=Rudbeckia laciniata L.Landolt 19912506=Rudbeckia laciniata L.SISF/ISFS 2358800
= Taxon stimmt mit akzeptiertem Taxon überein (Checklist 2017)  Taxon enthält (neben anderen) auch das akzeptierte Taxon (Checklist 2017)
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,
A Tool for Rejuvenating Feature Logging Levels via Git Histories and Degree of Interest
Creators: name: Tang, Yiming
name: Spektor, Allan
name: Khatchadourian, Raffi
name: Bagherzadeh, Mehdi
Publisher: name: arXiv
Year: 2021
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Logging is a significant programming practice. Due to the highly transactional nature of modern software applications, massive amount of logs are generated every day, which may overwhelm developers. Logging information overload can be dangerous to software applications. Using log levels, developers can print the useful information while hiding the verbose logs during software runtime. As software evolves, the log levels of logging statements associated with the surrounding software feature implementation may also need to be altered. Maintaining log levels necessitates a significant amount of manual effort. In this paper, we demonstrate an automated approach that can rejuvenate feature log levels by matching the interest level of developers in the surrounding features. The approach is implemented as an open-source Eclipse plugin, using two external plug-ins (JGit and Mylyn). It was tested on 18 open-source Java projects consisting of ~3 million lines of code and ~4K log statements. Our tool successfully analyzes 99.22% of logging statements, increases log level distributions by ~20%, and increases the focus of logs in bug fix contexts ~83% of the time. For further details, interested readers can watch our demonstration video (https://www.youtube.com/watch?v=qIULoAXoDv4).
description: 4 pages, ICSE '22 (tool demo track)
Decoherence on Staggered Quantum Walks
Creators: name: Santos, R. A. M.
name: Marquezino, F. L.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Decoherence phenomenon has been widely studied in different types of quantum walks. In this work we show how to model decoherence inspired by percolation on staggered quantum walks. Two models of unitary noise are described: breaking polygons and breaking vertices. The evolution operators subject to these noises are obtained and the equivalence to the coined quantum walk model is presented. Further, we numerically analyze the effect of these decoherence models on the two-dimensional grid of $4$-cliques. We examine how these perturbations affect the quantum walk based search algorithm in this graph and how expanding the tessellations intersection can make it more robust against decoherence.
description: 17 pages, 14 figures
СРАВНИТЕЛЬНЫЙ АНАЛИЗ РЕФЕРЕНТНЫХ ЦЕН ПРЕПАРАТОВ ДЛЯ ЛЕЧЕНИЯ РАКА ЛЕГКИХ
Creators: name: Рихсиева, О.Г.
name: Ражабова, Н.Х.
Publisher: name: Zenodo
Year: 2024

description: Референтное ценообразование - это система определения и установки предельных цен на каждое торговое наименование лекарственного препарата, которое является острой необходимостью в современном мире, где высокий спрос на лекарственные препараты, порождает высокое предложение рынка. В первую очередь рассматриваются цены в стране производства, а далее в других странах и выводится референтная цена в нашей стране - лимит цены на препарат, который запрещено превышать и оптовикам, и розничным продавцам [1,4].
NIR jets from a clustered region of massive star formation: Morphology and composition in the IRAS 18264-1152 region
Creators: name: Silva, A. R. Costa
name: Fedriani, R.
name: Tan, J. C.
name: Garatti, A. Caratti o
name: Ramsay, S.
name: Rosero, V.
name: Cosentino, G.
name: Gorai, P.
name: Leurini, S.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Massive stars form deeply embedded in their parental clouds, making it challenging to directly observe these stars and their immediate environments. It is known that accretion and ejection processes are intrinsically related, thus observing massive protostellar outflows can provide crucial information about the processes governing massive star formation close to the central engine. We aim to probe the IRAS 18264-1152 (G19.88-0.53) high-mass star-forming complex in the near infrared (NIR) through its molecular hydrogen (H2) jets to analyse the morphology and composition of the line emitting regions and to compare with other outflow tracers. We observed the H2 NIR jets via K-band (1.9-2.5um) observations obtained with the integral field units VLT/SINFONI and VLT/KMOS. SINFONI provides the highest NIR angular resolution achieved so far for the central region (~0.2''). We compared the geometry of the NIR outflows with that of the associated molecular outflow probed by CO (2-1) emission mapped with SMA. We identify nine point sources. Four of these display a rising continuum in the K-band and are BrG emitters, revealing that they are young, potentially jet-driving sources. The spectro-imaging analysis focusses on the H2 jets, for which we derived visual extinction, temperature, column density, area, and mass. The intensity, velocity, and excitation maps based on H2 emission strongly support the existence of a protostellar cluster, with at least two (and up to four) different large-scale outflows. The literature is in agreement with the outflow morphology found here. We derived a stellar density of ~4000 stars pc^-3. Our study reveals the presence of several outflows driven by young sources from a forming cluster of young, massive stars. The derived stellar number density together with the geometry of the outflows suggest that stars can form in a relatively ordered manner in this cluster.
description: 23 pages, 14 figures. Published in A&A. Updated to correct typos and match proofs
Santolina chamaecyparissus L.
Creators: name: Info Flora
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Magnoliopsida
Asterales
Asteraceae
Santolina
Santolina chamaecyparissus

description: Santolina chamaecyparissus L.
Art ISFS: 369200 Checklist: 1041390 Asteraceae Santolina Santolina chamaecyparissus L.
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):Santolina chamaecyparissusL.
Volksname
Deutscher Name: -- Nom français: -- Nome italiano: --
Übereinstimmung mit anderen Referenzwerken
RelationNomReferenzwerkeNo=Santolina chamaecyparissus L.Index synonymique 1996369200=Santolina chamaecyparissus L.Landolt 19773171=Santolina chamaecyparissus L.SISF/ISFS 2369200
= 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,
Effective Transfer Learning with the Use of Distance Metrics
Creators: Shiva Soleimany Dizicheh
Publisher: name: University of Alberta Library
Year: 2022

Reinforcement learning (RL) offers agents a framework for learning to perform hard-to-engineer behaviors that other machine learning (ML) approaches cannot due to the complex nature of these problems. However, it is impractical to learn a complex task from scratch due to reasons such as the huge sample complexity of RL algorithms, experience feasibility in dangerous setups, or the need for long periods of training in order for the algorithms to converge. The agent’s training can further be hindered by the great difficulty of the target task, poor state representation, or sparse reward signals.

Transfer learning is the area of research concerned with the class of methods that seek to speed up the training of RL agents by transferring the knowledge that the agent has gained through one or more source task Markov decision processes (MDP) to the target task. Transfer learning can eliminate the need for training from scratch every time the environment changes slightly and help the agent to make use of its past experiences in similar domains. However, transfer learning may inadvertently hurt the target performance, a phenomenon known as negative transfer. Therefore, having a metric to approximately measure the similarity between the source task and the goal task can help us to pick our source task more wisely and perform better on the goal task. The transfer learning literature includes different metrics to measure

the level of similarity between MDPs; among them are distance

metrics based on the averaged difference between the corresponding state-action transition distributions of the two tasks or based on graph-similarity between the graphs representing the transition and the reward functions of the source task and the target task. In this work, we look into three similarity metrics and their ability to estimate the similarity between two MDPs. All three metrics are based on the distance of state-action spaces between two MDPs. The first two metrics are based on the transitions spaces, but they focus on the action space and

the state space separately. The third metric focuses on the difference between the immediate reward values of the state-action pairs in the source and target tasks. After pre-training on source tasks and then performing transfer learning, we look into the predictive capacities of each metric of the agent’s performance on the goal task in two OpenAI gym domains: Hopper and Pendulum. The thesis is organized in a matter to first present the needed background about the used algorithms and environments, then after explaining the process for calculating each metric, present the result of the experiments and analyze

them. In the last part of the thesis, we pose questions as guidelines for future works in order to find the reason for the observed results.
Fermion sign bounds theory in quantum Monte Carlo simulation
Creators: name: Zhang, Xu
name: Pan, Gaopei
name: Xu, Xiao Yan
name: Meng, Zi Yang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Sign problem in fermion quantum Monte Carlo (QMC) simulation appears to be an extremely hard problem. Traditional lore passing around for years tells people that when there is a sign problem, the average sign in QMC simulation approaches zero exponentially fast with the space-time volume of the configurational space. We, however, analytically show this is not always the case and manage to find physical bounds for the average sign. Our understanding is based on a direct connection between the sign bounds and a well-defined partition function of reference system and could distinguish when the bounds have the usual exponential scaling, and when they are bestowed on an algebraic scaling at low temperature limit. We analytically explain such algebraic sign problems found in flat band moiré lattice models at low temperature limit. At finite temperature, a domain size argument based on sign bounds also explains the connection between sign behavior and finite temperature phase transition. Sign bounds, as a well-defined observable, may have ability to ease or even make use of the sign problem.
description: 11 pages, 3 figures
On the Right(s) Path: A Study of Human Rights Law and Practice in British Columbia
Creators: Arkinstall, Matthew A.
Publisher: name: University of Alberta Library
Year: 2022

Canada’s anti-discrimination legal regime is among the oldest and most established in the world. In this thesis, I examine those human rights institutions in Canada that were created to enforce anti-discrimination statutes to determine which system is more accessible to people from marginalized populations. Human rights legislation works to disrupt discrimination through the administration of human rights complaints and through human rights education. Human rights institutions have, however, faced a backlash since the 1980s from the media and prominent political figures that challenge the legitimacy of the commission system. As a result, some jurisdictions have replaced the commission system that has been a cornerstone of the Canadian human rights landscape since the 1970s. Both British Columbia and Ontario have implemented the direct-access system. In this thesis, I analyze which system is more accessible to people from marginalized populations using British Columbia. British Columbia is the ideal choice for comparative research of this nature because the provincial government has switched between both systems multiple times since the 1960s.

    In order to determine which system is more accessible to people from marginalized groups, I analyze data from government-sponsored reports which have been produced in multiple jurisdictions in Canada. These reports contained information on how to improve the accessibility of human rights institutions. Furthermore, I examine annual reports produced by the British Columbia Human Rights Tribunal from 2006 to 2016 and the British Columbia Human Rights Commission from 1996 to 2002. The statistical data derived from these reports supports the contention that the commission is more accessible than the direct-access model. In sum, based on the data from these reports as well as a detailed review of a dozen expert reports on human rights institutions in Canada, I argue that the commission system is more accessible to people from marginalized populations than the direct-access system.