cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation
Creators: name: Fu, Xiaohang
name: Bi, Lei
name: Kumar, Ashnil
name: Fulham, Michael
name: Kim, Jinman
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Multimodal positron emission tomography-computed tomography (PET-CT) is used routinely in the assessment of cancer. PET-CT combines the high sensitivity for tumor detection with PET and anatomical information from CT. Tumor segmentation is a critical element of PET-CT but at present, there is not an accurate automated segmentation method. Segmentation tends to be done manually by different imaging experts and it is labor-intensive and prone to errors and inconsistency. Previous automated segmentation methods largely focused on fusing information that is extracted separately from the PET and CT modalities, with the underlying assumption that each modality contains complementary information. However, these methods do not fully exploit the high PET tumor sensitivity that can guide the segmentation. We introduce a multimodal spatial attention module (MSAM) that automatically learns to emphasize regions (spatial areas) related to tumors and suppress normal regions with physiologic high-uptake. The resulting spatial attention maps are subsequently employed to target a convolutional neural network (CNN) for segmentation of areas with higher tumor likelihood. Our MSAM can be applied to common backbone architectures and trained end-to-end. Our experimental results on two clinical PET-CT datasets of non-small cell lung cancer (NSCLC) and soft tissue sarcoma (STS) validate the effectiveness of the MSAM in these different cancer types. We show that our MSAM, with a conventional U-Net backbone, surpasses the state-of-the-art lung tumor segmentation approach by a margin of 7.6% in Dice similarity coefficient (DSC).
Introducing an Evaluation Method for Taxonomies
Creators: name: Kaplan, Angelika
name: Kühn, Thomas
name: Hahner, Sebastian
name: Benkler, Niko
name: Keim, Jan
name: Fuchß, Dominik
name: Corallo, Sophie
name: Heinrich, Robert
name: Corallo, Sophie
name: Heinrich, Robert
Publisher: name: Association for Computing Machinery (ACM)
Year: 2022

description: Background: Taxonomies are crucial for the development of a research field, as they play a major role in structuring a complex body of knowledge and help to classify processes, approaches, and solutions. While there is an increasing interest in taxonomies in the software engineering (SE) research field, we observe that SE taxonomies are rarely evaluated. Aim: To raise awareness and provide operational guidance on how to evaluate a taxonomy, this paper presents a three step evaluation method evaluating its structure, applicability, and purpose. Method: To show the feasibility and applicability of our approach, we provide a running example and additionally illustrate our approach to a practical case study in SE research. Results and Conclusion: Our method with operational guidance enables SE researchers to systematically evaluate and improve the quality of their taxonomies and support reviewers to systematically assess a taxonomy's quality.
Multiplier tests and subhomogeneity of multiplier algebras
Creators: name: Aleman, Alexandru
name: Hartz, Michael
name: McCarthy, John E.
name: Richter, Stefan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Functional Analysis (math.FA)
subject: Complex Variables (math.CV)
subject: Operator Algebras (math.OA)
subject: FOS: Mathematics
subject: Primary: 46E22, Secondary: 47B32, 47L55

description: Multipliers of reproducing kernel Hilbert spaces can be characterized in terms of positivity of $n \times n$ matrices analogous to the classical Pick matrix. We study for which reproducing kernel Hilbert spaces it suffices to consider matrices of bounded size $n$. We connect this problem to the notion of subhomogeneity of non-selfadjoint operator algebras. Our main results show that multiplier algebras of many Hilbert spaces of analytic functions, such as the Dirichlet space and the Drury-Arveson space, are not subhomogeneous, and hence one has to test Pick matrices of arbitrarily large matrix size $n$. To treat the Drury-Arveson space, we show that multiplier algebras of certain weighted Dirichlet spaces on the disc embed completely isometrically into the multiplier algebra of the Drury-Arveson space.
description: 40 pages; minor changes
Additional file 1 of Adolescent BMI and early-onset type 2 diabetes among Ethiopian immigrants and their descendants: a nationwide study
Creators: name: Simchoni, Maya
name: Hamiel, Uri
name: Pinhas-Hamiel, Orit
name: Zucker, Inbar
name: Cukierman-Yaffe, Tali
name: Lutski, Miri
name: Derazne, Estela
name: Zivan Beer
name: Behar, Doron
name: Keinan-Boker, Lital
name: Ofri Mosenzon
name: Tzur, Dorit
name: Afek, Arnon
name: Tirosh, Amir
name: Raz, Itamar
name: Twig, Gilad
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Molecular Biology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 1: Appendix 1. Extended methods. Figure S1. Schematic diagram of the study design and cohort build-up. Figure S2. BMI at entrance to the Israeli National Diabetes Registry by adolescent BMI categories. Table S1. Accounting for incident type 2 diabetes cases with missing date of diabetes onset- Logistic regression models. Table S2. Accounting for misclassification in the diagnosis of type 2 diabetes among men. Table S3. Type 2 diabetes among men of Ethiopian origin, first and second-generation immigrants to Israel.
Twistorial Cohomotopy implies Green-Schwarz anomaly cancellation
Creators: name: Fiorenza, Domenico
name: Sati, Hisham
name: Schreiber, Urs
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: Algebraic Topology (math.AT)
subject: Differential Geometry (math.DG)
subject: Geometric Topology (math.GT)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We characterize the integral cohomology and the rational homotopy type of the maximal Borel-equivariantization of the combined Hopf/twistor fibration, and find that subtle relations satisfied by the cohomology generators are just those that govern Horava-Witten's proposal for the extension of the Green-Schwarz mechanism from heterotic string theory to heterotic M-theory. We discuss how this squares with the Hypothesis H that the elusive mathematical foundation of M-theory is based on charge quantization in J-twisted Cohomotopy theory.
description: 30 pages; v2: exposition of real homotopy theory slightly expanded, final version published in RMP
Molecular Perspectives on the Enzymes' Behaviour in Cholinium Aminoate Ionic Liquids
Creators: name: Chan, Kam Khong
Publisher: name: Monash University
Year: 2024
Subjects: classificationCode: 310299
subject: Bioinformatics and computational biology not elsewhere classified

description: The computational approaches offer a fundamental understanding of the molecular dynamics of enzymes within ionic liquid (IL) systems, shedding light on their behaviour and interactions with neighbouring molecules. Such insights can comprehensively elucidate experimental findings, and these pieces of knowledge could be beneficial to the design of IL for enzyme applications. This thesis examined the effects of cholinium aminoate ILs on the catalytic performance of fungal enzymes with experimental and computational methods. The outcome of this thesis has concluded that the anionic species of IL is the key element in dictating the catalytic activity of the enzymes.
Barrier methods for minimal submanifolds in the Gibbons-Hawking ansatz
Creators: name: Trinca, Federico
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53C40, 53C38

description: We describe a barrier argument for compact minimal submanifolds in the multi-Eguchi-Hanson and in the multi-Taub-NUT spaces, which are hyperkaehler 4-manifolds given by the Gibbons-Hawking ansatz. This approach is used to obtain results towards a classification of compact minimal submanifolds in this setting. We also prove a converse of Tsai and Wang's result that relates the strong stability condition to the convexity of the distance function.
description: 34 pages, 9 figures
Magnetic seeding depression in flotation of hematite ore slimes
Creators: name: Tao, Yue
name: Xiqing, Wu
Publisher: name: Faculty of Geoengineering, Mining and Geology, Wrocław University of Technology, Wrocław
Year: 2018
Subjects: magnetic seeds
magnetic seeding flotation (MSF)
magnetic seeding agglomeration (MSA)
magnetic seeing depression (MSD)
hematite

description: Physicochemical Problems of Mineral Processing; ISSN 2084-4735
Additional file 2 of Offering mental health first aid to a person after a potentially traumatic event: a Delphi study to redevelop the 2008 guidelines
Creators: name: Chalmers, Kathryn J.
name: Jorm, Anthony F.
name: Kelly, Claire M.
name: Reavley, Nicola J.
name: Bond, Kathy S.
name: Fairlie A. Cottrill
name: Wright, Judith
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Cancer
subject: Science Policy
subject: Hematology

description: Additional file 2. Round 2 Survey. Full survey participants completes in round two. Includes introduction given to participants, consent section and all survey items.
Origin of the VEVs hierarchy
Creators: name: Abbas, Gauhar
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We present an origin of the VEVs hierarchy in a non-minimal technicolour framework which is capable of explaining the flavour spectrum of the standard model along with neutrino masses and mixing, and simultaneously satisfying crucial experimental bounds. The technicolour scale in this framework can be lower such that a standard model-like Higgs boson emerges from within the model. We also derive lower bound on the mass of the vector technicolour state using the latest experimental bound on the $S$-parameter.
description: 29 pages, 7 figures, version accepted in journal
Vertrauensinfrastrukturen Der Digitalen Gesellschaft
Creators: name: Lamla, Jörn
name: Pittroff, Fabian
name: Uhlmann, Markus
Publisher: name: Zenodo
Year: 2017
Subjects: Trust
Democracy
Digitalisation
Privacy
Infrastructure
Internet of things
Consumer
User

description: Slides for a presentation on privacy and trust infrastuctures at the 11th workshop for consumer research organised by the Kompetenzzentrum Verbraucherforschung NRW.
description: See for more information (in German): https://doi.org/10.15501/kvftp_11
Local-global principles for homogeneous spaces over some two-dimensional geometric global fields
Creators: name: Izquierdo, Diego
name: Arteche, Giancarlo Lucchini
Publisher: name: arXiv
Year: 2021
Subjects: subject: Algebraic Geometry (math.AG)
subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 14G12, 14G27, 14M17, 11E72

description: In this article, we study the obstructions to the local-global principle for homogeneous spaces with connected or abelian stabilizers over finite extensions of the field $\mathbb{C}((x,y))$ of Laurent series in two variables over the complex numbers and over function fields of curves over $\mathbb{C}((t))$. We give examples that prove that the usual Brauer-Manin obstruction is not enough to explain the failure of the local-global principle, and we then construct a variant of this obstruction using torsors under quasi-trivial tori which turns out to work. In the end of the article, we compare this new obstruction to the descent obstruction with respect to torsors under tori. For that purpose, we use a result on towers of torsors, that is of independent interest and therefore is proved in a separate appendix.
description: 22 pages, final version
Study of Sequence-based Deep Learning Models for Antibody Humanization on B-Cell Receptor Repertoire Sequencing Data
Creators: name: Li, Renjie
Publisher: name: Monash University
Year: 2024
Subjects: classificationCode: 460299
subject: Artificial intelligence not elsewhere classified
classificationCode: 461103
subject: Deep learning
classificationCode: 310299
subject: Bioinformatics and computational biology not elsewhere classified
classificationCode: 461199
subject: Machine learning not elsewhere classified
classificationCode: 400399
subject: Biomedical engineering not elsewhere classified

description: Antibody therapeutics are crucial for treating various diseases, and humanization is essential for ensuring their safety and efficacy. This study develops sequence-based deep learning models to humanize non-human-derived antibodies, enhancing their human likeness while minimizing laboratory efforts. Key components include identifying and manipulating residues to improve humanness and evaluating the risk of immunogenicity. The humanization tool built in this study is based entirely on B-cell receptor repertoire sequencing data as the training source, yielding results closely aligned with experimental findings. These advancements are expected to streamline antibody development and promise more efficient therapeutic solutions.
Additional file 1 of Offering mental health first aid to a person after a potentially traumatic event: a Delphi study to redevelop the 2008 guidelines
Creators: name: Chalmers, Kathryn J.
name: Jorm, Anthony F.
name: Kelly, Claire M.
name: Reavley, Nicola J.
name: Bond, Kathy S.
name: Fairlie A. Cottrill
name: Wright, Judith
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Cancer
subject: Science Policy
subject: Hematology

description: Additional file 1. Round 1 Survey. Full survey participants completes in round one. Includes introduction given to participants, consent section and all survey items.
The collapse of a quantum state as a joint probability construction
Creators: name: Morgan, Peter
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: History and Philosophy of Physics (physics.hist-ph)
subject: FOS: Physical sciences

description: The collapse of a quantum state can be understood as a mathematical way to construct a joint probability density even for operators that do not commute. We can formalize that construction as a non-commutative, non-associative collapse product that is nonlinear in its left operand as a model for joint measurements at timelike separation, in part inspired by the sequential product for positive semi-definite operators. The familiar collapse picture, in which a quantum state collapses after each measurement as a way to construct a joint probability density for consecutive measurements, is equivalent to a no-collapse picture in which Lüders transformers applied to subsequent measurements construct a Quantum-Mechanics--Free-Subsystem of Quantum Non-Demolition operators, not as a dynamical process but as an alternative mathematical model for the same consecutive measurements. The no-collapse picture is particularly simpler when we apply signal analysis to millions or billions of consecutive measurements.
description: v4 has the same section numbers, equation numbers, and figure numbers as in the Published Version, but pagination is different
Additional file 1 of Association between maternal age and adverse perinatal outcomes in Arba Minch zuria, and Gacho Baba district, southern Ethiopia: a prospective cohort study
Creators: name: Mersha, Abera
name: Gistane Ayele
name: Tilahun Worku
name: Zerihun Zerdo
name: Shitaye Shibiru
name: Agegnehu Bante
name: Tamiru Chonka
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy

description: Additional file 1. Tools.
The Effect of Corrosion on Mechanical Properties of High-Strength Steels
Creators: name: Mokhtari, Elnaz
Publisher: name: Monash University
Year: 2024
Subjects: classificationCode: 400510
subject: Structural engineering

description: This study examines high-strength steel (HSS) as an alternative to mild steel (MS) in structural applications, highlighting its superior strength and efficiency but addressing its susceptibility to corrosion. Testing five HSS types under acidic and marine conditions, the research evaluates mechanical and corrosion resistance using indices like ductility, area reduction, and tensile strength. Findings show that factors like chemical composition, surface roughness, and cold working affect corrosion susceptibility and performance. Insights contribute to design guidelines and future research on HSS durability in corrosive environments, aiding in safer, more reliable material selection for engineering applications.
Additional file 3 of Offering mental health first aid to a person after a potentially traumatic event: a Delphi study to redevelop the 2008 guidelines
Creators: name: Chalmers, Kathryn J.
name: Jorm, Anthony F.
name: Kelly, Claire M.
name: Reavley, Nicola J.
name: Bond, Kathy S.
name: Fairlie A. Cottrill
name: Wright, Judith
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Cancer
subject: Science Policy
subject: Hematology

description: Additional file 3. Round 3 Survey. Full survey participants completes in round three. Includes introduction given to participants, consent section and all survey items.
Non-relativistic Effective Quantum Mechanics of the Coulomb Interaction
Creators: name: Jacobs, David M.
name: Jankowski, Matthew
Publisher: name: arXiv
Year: 2021
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We apply the ideas of effective field theory to nonrelativistic quantum mechanics. Utilizing an artificial boundary of ignorance as a calculational tool, we develop the effective theory using boundary conditions to encode short-ranged effects that are deliberately not modeled; thus, the boundary conditions play a role similar to the effective action in field theory. Unitarity is temporarily violated in this method, but is preserved on average. As a demonstration of this approach, we consider the Coulomb interaction and find that this effective quantum mechanics can predict the bound state energies to very high accuracy with a small number of fitting parameters. It is also shown to be equivalent to the theory of quantum defects, but derived here using an effective framework. The method respects electromagnetic gauge invariance and also can describe decays due to short-ranged interactions, such as those found in positronium. Effective quantum mechanics appears applicable for systems that admit analytic long-range descriptions, but whose short-ranged effects are not reliably or efficiently modeled. Potential applications of this approach include atomic and condensed matter systems, but it may also provide a useful perspective for the study of blackholes.
Additional file 5 of Offering mental health first aid to a person after a potentially traumatic event: a Delphi study to redevelop the 2008 guidelines
Creators: name: Chalmers, Kathryn J.
name: Jorm, Anthony F.
name: Kelly, Claire M.
name: Reavley, Nicola J.
name: Bond, Kathy S.
name: Fairlie A. Cottrill
name: Wright, Judith
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Cancer
subject: Science Policy
subject: Hematology

description: Additional file 5. Table 1 Participant characteristics. Tables presenting participant demographics.
Additional file 1 of Floral traits are associated with the quality but not quantity of heterospecific stigmatic pollen loads
Creators: name: Peuker, Manon A.
name: Burger, Hannah
name: Krausch, Sabrina
name: Neumüller, Ulrich
name: Ayasse, Manfred
name: Kuppler, Jonas
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Ecology
subject: Plant Biology
subject: 60506 Virology

description: Additional file 1. 1. Correlation between floral traits and in- and out-degree. 2. Correlation between floral traits and weighted in- and out-degree. 3. Correlations between modularity and community parameters. 4. Results of random forest analysis for modularity and floral traits. 5. Correlations between proportion of HP and floral traits. 6. Flower abundance and plant species sampled. 7. Rarefaction curves for each community.
Constraints on the Symmetry Energy from PREX-II in the Multimessenger Era
Creators: name: Yue, Tong-Gang
name: Chen, Lie-Wen
name: Zhang, Zhen
name: Zhou, Ying
Publisher: name: arXiv
Year: 2021
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: The neutron skin thickness $Δr_{\rm{np}}$ of heavy nuclei is essentially determined by the symmetry energy density slope $L({ρ})$ at $ρ_c = 0.11~{\rm {fm}^{-3}}\approx 2/3ρ_0$ ($ρ_0$ is nuclear saturation density), roughly corresponding to the average density of finite nuclei. The PREX collaboration recently reported a model-independent extraction of $Δr^{208}_{\rm{np}} = 0.283 \pm 0.071$ fm for the $Δr_{\rm{np}}$ of $^{208}$Pb, suggesting a rather stiff symmetry energy $E_{\rm{sym}}({ρ})$ with $L({ρ_c }) \ge 52$ MeV. We show that the $E_{\rm{sym}}({ρ})$ cannot be too stiff and $L({ρ_c }) \le 73$ MeV is necessary to be compatible with (1) the ground-state properties and giant monopole resonances of finite nuclei, (2) the constraints on the equation of state of symmetric nuclear matter at suprasaturation densities from flow data in heavy-ion collisions, (3) the largest neutron star (NS) mass reported so far for PSR J0740+6620, (4) the NS tidal deformability extracted from gravitational wave signal GW170817 and (5) the mass-radius of PSR J0030+045 measured simultaneously by NICER. This allows us to obtain $52 \le L({ρ_c }) \le 73$ MeV and $0.212 \le Δr^{208}_{\rm{np}} \le 0.271$ fm, and further $E_{\rm{sym}}({ρ_0 }) = 34.3 \pm 1.7$ MeV, $L({ρ_0 }) = 83.1 \pm 24.7$ MeV, and $E_{\rm{sym}}({2ρ_0 }) = 62.8 \pm 15.9$ MeV. A number of critical implications on nuclear physics and astrophysics are discussed.
description: 6 pages, 4 figures. The published PREX-II result used, results updated and discussions added. Accepted version to appear in Physical Review Research as a Letter
title: Digitale Bildung aus inklusiver und sonderpädagogischer Perspektive
title: Eine Einführung
titleType: AlternativeTitle
Creators: name: Jungjohann, Jana
Publisher: name: TU Dortmund
Year: 2024
Subjects: subject: digitale Medien
subject: teacher education
subject: Lernschwierigkeiten
subject: serious games
subject: sonderpädagogischer Unterstützungsbedarf
subject: Medienkritik
subject: Medienerziehung
subject: Medienkompetenzmodelle
subject: Förderbedarf
subject: Inklusion
subject: gamification
subject: digitalgestützte Lernumgebungen
subject: 360
subject: 370
subject: Neue Medien
subject: Digitalisierung
subject: Lernumwelt
subject: Inklusive Pädagogik
subject: Lernen
subject: Medienkompetenz
subject: Sonderpädagogik

description: Digitale Medien sind im Leben von Menschen mit und ohne Behinderung allgegenwärtig. Für eine gesellschaftliche Teilhabe ist es die Aufgabe der inklusiven Bildung, einerseits allen Schüler*innen Lernmöglichkeiten zum Erwerb schulischer Medienkompetenzen bereitzustellen und andererseits die Lernumgebungen so zu gestalten, dass sie sich an die individuellen Bedürfnisse der Schüler*innen anpassen. Dieses Lehrbuch stellt zentrale Lerntheorien im Kontext digitaler Medienarbeit vor und geht dabei ein auf digitale (Lern)Medien, Motivation und Feedback, assistive Technologien und Barrierefreiheit, Modelle zu Medienkompetenzen für Schüler*innen und Lehrkräfte sowie die Notwendigkeit der Medienerziehung unter Berücksichtigung verschiedener sonderpädagogischer Unterstützungsbedarfe. Es werden die Geschichte und der aktuelle Stand des Einsatzes von digitalen Medien in der inklusiven Bildung unter Berücksichtigung empirischer Studien erörtert. Des Weiteren werden Anwendungsszenarien für das inklusive schulische Lernen am Beispiel von digitaler Diagnostik, Serious Games, kollaborativen Lernformen und digitalen Lernumgebungen vorgestellt. Es werden die Begriffe Open Science, Open Educational Resources, Data Based Decision Making, Gamification und Barrierefreiheit vorgestellt. Dieses Werk stellt eine Einführung in einen Teilbereich der inklusiven Bildung dar. Es dient als Grundlage und Basiswissen für das Lehramt Sonderpädagogik.
Assessing the Role of Estates on Smallholder Household Labor Allocation in Sub-Saharan Africa: A Case Study of Malawi
Creators: name: Edobor, Edeoba W.
name: Edobor, Edeoba W.
Publisher: name: Unknown
Year: 2022
Subjects: Consumer/Household Economics
International Development
Agricultural and Food Policy

description: Presentation 24158
Magnesium silicate conjugated with calcium lignosulfonate: In situ synthesis and comprehensive physicochemical evaluations
Creators: name: Klapiszewski, Lukasz
name: Zietek, Justyna
name: Ciesielczyk, Filip
name: Siwinska-Stefanska, Katarzyna
name: Jesionowski, Teofil
Publisher: name: Faculty of Geoengineering, Mining and Geology, Wrocław University of Technology, Wrocław
Year: 2018
Subjects: synthetic magnesium silicate
biopolymers
calcium lignosulfonate
in situ sol-gel route
hybrid materials

description: Physicochemical Problems of Mineral Processing; ISSN 2084-4735
Real-time Soft Probing of Cardiac Organoids Monitoring
Creators: name: Yin, Jialiang
Publisher: name: Monash University
Year: 2024
Subjects: classificationCode: 400302
subject: Biomaterials
classificationCode: 400906
subject: Electronic sensors

description: Cardiovascular diseases are the leading cause of death around the world. Stem cell-derived cardiac organoids, which are in-vitro three-dimensional and self-organizing multi-type cellular structures, have attracted significant attention as a promising platform for pre-clinical drug screening, cardiotoxicity assessment, and disease modeling. This thesis work contributes to real-time soft probing of cardiac organoids, enabling the monitoring of contractility, electrophysiology, and metabolism in real-time and iv in-situ. These integrated systems offer a suite of new diagnostic options for assessing cardiac organoids.
Smallholder Farmers’ Willingness to Pay for Quality Legume Seeds: Implications for the Commercial Viability of Local Farm Seed Enterprises in Myanmar
Creators: name: Win, Myat Thida
name: Win, Myat Thida
Publisher: name: Unknown
Year: 2022
Subjects: subject: International Development
subject: Research Methods/Statistical Methods
subject: Marketing
subject: FOS: Economics and business

description: Presentation 24160
Strong bulk-surface interaction dominated in-plane anisotropy of electronic structure in GaTe
Creators: name: Lai, Kang
name: Ju, Sailong
name: Zhu, Hongen
name: Wang, Hanwen
name: Wu, Hongjian
name: Yang, Bingjie
name: Zhang, Enrui
name: Yang, Ming
name: Li, Fangsen
name: Cui, Shengtao
name: Deng, Xiaohui
name: Han, Zheng
name: Zhu, Mengjian
name: Dai, Jiayu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Recently, intriguing physical properties have been unraveled in anisotropic layered semiconductors, in which the in-plane electronic band structure anisotropy often originates from the low crystallographic symmetry and thus a thickness-independent character emerges. Here, we apply high-resolution angle-resolved photoemission spectroscopy to directly image the in-plane anisotropic energy bands in monoclinic gallium telluride (GaTe). Our first-principles calculations reveal the in-plane anisotropic energy band structure of GaTe measured experimentally is dominated by a strong bulk-surface interaction rather than geometric factors, surface effect and quantum confinement effect. Furthermore, accompanied by the thickness of GaTe increasing from mono- to few-layers, the strong interlayer coupling of GaTe induces direct-indirect-direct band gap transitions and the in-plane anisotropy of hole effective mass is reversed. Our results shed light on the physical origins of in-plane anisotropy of electronic structure in GaTe, paving the way for the design and device applications of nanoelectronics and optoelectronics based on anisotropic layered semiconductors.
description: To be published in Communications Physics
Influences of operating parameters on dry ball mill performance
Creators: name: Cayirli, Serkan
Publisher: name: Faculty of Geoengineering, Mining and Geology, Wrocław University of Technology, Wrocław
Year: 2018
Subjects: conventional ball mill
particle size
surface area
grinding aid
fluidity index
Fourier Transform Infrared Spectroscopy

description: Physicochemical Problems of Mineral Processing; ISSN 2084-4735
Robust Learning-Based Trajectory Planning for Emerging Mobility Systems
Creators: name: Chalaki, Behdad
name: Malikopoulos, Andreas A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics

description: In this paper, we extend a framework that we developed earlier for coordination of connected and automated vehicles (CAVs) at a signal-free intersection to incorporate uncertainty. Using the possibly noisy observations of actual time trajectories and leveraging Gaussian process regression, we learn the bounded confidence intervals for deviations from the nominal trajectories of CAVs online. Incorporating these confidence intervals, we reformulate the trajectory planning as a robust coordination problem, the solution of which guarantees that constraints in the system are satisfied in the presence of bounded deviations from the nominal trajectories. We demonstrate the effectiveness of our extended framework through a numerical simulation.
description: 8 pages, 6 figures
Collecting mechanisms of a novel amino-acid-based collector for carbonate-containing refractory iron ores
Creators: name: Xiaotian, Gu
name: Yimin, Zhu
name: Yanjun, Li
name: Yuexin, Han
Publisher: name: Faculty of Geoengineering, Mining and Geology, Wrocław University of Technology, Wrocław
Year: 2018
Subjects: refractory iron ores
hematite
siderite
quartz
flotation
molecular simulation

description: Physicochemical Problems of Mineral Processing; ISSN 2084-4735
Additional file 1 of Awake prone positioning does not reduce the risk of intubation in COVID-19 treated with high-flow nasal oxygen therapy: a multicenter, adjusted cohort study
Creators: name: Ferrando, Carlos
name: Mellado-Artigas, Ricard
name: Gea, Alfredo
name: Arruti, Egoitz
name: Aldecoa, César
name: Adalia, Ramón
name: Ramasco, Fernando
name: Monedero, Pablo
name: Maseda, Emilio
name: Tamayo, Gonzalo
name: Hernández-Sanz, María L.
name: Mercadal, Jordi
name: Ascensión Martín-Grande
name: Kacmarek, Robert M.
name: Villar, Jesús
name: Suárez-Sipmann, Fernando
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Table 1. Baseline characteristics of patients with HFNO before and after adjustment. Table 2. Clinical evolution of patients with HFNO (maximum or minimum values) before and after adjustment. Table 3. Baseline characteristics of patients with HFNO plus awake prone positioning before and after adjustment. Table 4. Clinical evolution (maximum or minimum values) of patients with HFNO plus awake prone position before and after adjustment. Table 5. Outcomes of the original-eligible population and weighted population. Figure 1. Peripheral oxyhemoglobin saturation (%) over time in the adjusted population. Figure 2. Respiratory rate (breath per minute) over time in the adjusted population. Figure 3. ROX Index [(SpO2/FiO2) / Respiratory rate] over time in the adjusted population. Figure 4. Probability of being intubated in patients stratified by PaO2/FiO2. Figure 5. Probability of 28-day mortality in patients stratified by PaO2/FiO2.
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT
Creators: name: Fu, Xiaohang
name: Bi, Lei
name: Kumar, Ashnil
name: Fulham, Michael
name: Kim, Jinman
Publisher: name: arXiv
Year: 2021
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Accurate characterisation of visual attributes such as spiculation, lobulation, and calcification of lung nodules is critical in cancer management. The characterisation of these attributes is often subjective, which may lead to high inter- and intra-observer variability. Furthermore, lung nodules are often heterogeneous in the cross-sectional image slices of a 3D volume. Current state-of-the-art methods that score multiple attributes rely on deep learning-based multi-task learning (MTL) schemes. These methods, however, extract shared visual features across attributes and then examine each attribute without explicitly leveraging their inherent intercorrelations. Furthermore, current methods either treat each slice with equal importance without considering their relevance or heterogeneity, which limits performance. In this study, we address these challenges with a new convolutional neural network (CNN)-based MTL model that incorporates multiple attention-based learning modules to simultaneously score 9 visual attributes of lung nodules in computed tomography (CT) image volumes. Our model processes entire nodule volumes of arbitrary depth and uses a slice attention module to filter out irrelevant slices. We also introduce cross-attribute and attribute specialisation attention modules that learn an optimal amalgamation of meaningful representations to leverage relationships between attributes. We demonstrate that our model outperforms previous state-of-the-art methods at scoring attributes using the well-known public LIDC-IDRI dataset of pulmonary nodules from over 1,000 patients. Our model also performs competitively when repurposed for benign-malignant classification. Our attention modules also provide easy-to-interpret weights that offer insights into the predictions of the model.
Bioleaching of indium and tin from used LCD panels
Creators: name: Willner, Joanna
name: Fornalczyk, Agnieszka
name: Gajda, Bernadeta
name: Saternus, Mariola
Publisher: name: Faculty of Geoengineering, Mining and Geology, Wrocław University of Technology, Wrocław
Year: 2018
Subjects: bioleaching
ITO
indium recovery
tin recovery
LCD panels

description: Physicochemical Problems of Mineral Processing; ISSN 2084-4735
PNAS_Transgenic_HBV_Nonhuman_Primates_Files
Creators: name: Burwitz, Ben
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 310706
subject: Virology
classificationCode: 310903
subject: Animal developmental and reproductive biology
classificationCode: 310914
subject: Vertebrate biology

description: Infectious diseases are often species specific and difficult to model. However, with current genome editing technologies, we can tailor laboratory species for specific research applications. This work addresses a major barrier in the hepatitis B virus (HBV) research field: the lack of a translational, immunocompetent nonhuman primate model. We employed gene editing technology to insert the HBV entry receptor into the genomes of rhesus macaque embryos under a liver-specific promoter, resulting in two healthy transgenic animals. These animals express the HBV entry receptor in their livers with minimal expression in other tissues, and their primary hepatocytes are susceptible to HBV infection. These animals bridge the gap between emerging therapeutics and a physiological relevant animal for HBV research.
BO'LAJAK BOSHLANG'ICH SINF O'QITUVCHISINI SPORT O'YINLARI ASOSIDA SOG'LOM TURMUSH TARZINI SHAKLLANTIRISHGA TAYYORLASH METODIKASI
Creators: name: Madaminov, Mirjalol
Publisher: name: Zenodo
Year: 2024

description: Mazkur tezisda sport o’yinlari vositasida boshlang’ich ta’lim talabalarini salomatligini saqlash va sog’lom turmush tarzini shakllantirish metodikasiga doir fikr-mulohazalar yuritiladi.
Danish Fungi 2020 -- Not Just Another Image Recognition Dataset
Creators: name: Picek, Lukáš
name: Šulc, Milan
name: Matas, Jiří
name: Heilmann-Clausen, Jacob
name: Jeppesen, Thomas S.
name: Læssøe, Thomas
name: Frøslev, Tobias
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We introduce a novel fine-grained dataset and benchmark, the Danish Fungi 2020 (DF20). The dataset, constructed from observations submitted to the Atlas of Danish Fungi, is unique in its taxonomy-accurate class labels, small number of errors, highly unbalanced long-tailed class distribution, rich observation metadata, and well-defined class hierarchy. DF20 has zero overlap with ImageNet, allowing unbiased comparison of models fine-tuned from publicly available ImageNet checkpoints. The proposed evaluation protocol enables testing the ability to improve classification using metadata -- e.g. precise geographic location, habitat, and substrate, facilitates classifier calibration testing, and finally allows to study the impact of the device settings on the classification performance. Experiments using Convolutional Neural Networks (CNN) and the recent Vision Transformers (ViT) show that DF20 presents a challenging task. Interestingly, ViT achieves results superior to CNN baselines with 80.45% accuracy and 0.743 macro F1 score, reducing the CNN error by 9% and 12% respectively. A simple procedure for including metadata into the decision process improves the classification accuracy by more than 2.95 percentage points, reducing the error rate by 15%. The source code for all methods and experiments is available at https://sites.google.com/view/danish-fungi-dataset.
Incremental Nonlinear Stability Analysis of Stochastic Systems Perturbed by Lévy Noise
Creators: name: Han, SooJean
name: Chung, Soon-Jo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: Optimization and Control (math.OC)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Mathematics

description: We present a theoretical framework for characterizing incremental stability of nonlinear stochastic systems perturbed by compound Poisson shot noise and finite-measure Lévy noise. For each noise type, we compare trajectories of the perturbed system with distinct noise sample paths against trajectories of the nominal, unperturbed system. We show that for a finite number of jumps arising from the noise process, the mean-squared error between the trajectories exponentially converge towards a bounded error ball across a finite interval of time under practical boundedness assumptions. The convergence rate for shot noise systems is the same as the exponentially-stable nominal system, but with a tradeoff between the parameters of the shot noise process and the size of the error ball. The convergence rate and the error ball for the Lévy noise system are shown to be nearly direct sums of the respective quantities for the shot and white noise systems separately, a result which is analogous to the Lévy-Khintchine theorem. We demonstrate our results using several numerical case studies.
description: To be published. See https://onlinelibrary.wiley.com/doi/10.1002/rnc.6216 for final version
Additional file 1 of A systematic review of patient prioritization tools in non-emergency healthcare services
Creators: name: Déry, Julien
name: Ruiz, Angel
name: Routhier, François
name: Bélanger, Valérie
name: Côté, André
name: Ait-Kadi, Daoud
name: Gagnon, Marie-Pierre
name: Deslauriers, Simon
name: Pecora, Ana Tereza Lopes
name: Redondo, Eduardo
name: Anne-Sophie Allaire
name: Lamontagne, Marie-Eve
Publisher: name: figshare
Year: 2020
Subjects: subject: Space Science
subject: Medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: Science Policy

description: Additional file 1. PRISMA 2009 Checklist.
title: Acoustic Performances of Irregular Blade Spacing Fans Tested on an Excavator
Creators: name: Bollade, Laurent
name: Carniel, Xavier
name: Bernier, Bastien
Publisher: name: UNSPECIFIED
Year: 2022

description: On mobile machinery, fans are often the dominant source of external noise, especially with the reduction in noise generated by internal combustion engines. The gradual arrival of electrified machines will not necessarily solve the problem, as the need for cooling the combustion engine will be transferred to the batteries or accessories, and fan noise is likely to emerge even more with a quieter engine. Initial tests have shown that irregular fans have little impact on the overall A-weighted level but do reduce the level of blade passing frequency components. Manufacturers in the sector have expressed a desire to know the acoustic performance of fans with uneven blade spacing blades on a machine, among other noise sources. For the purposes of the demonstration, 4 excavators were assessed and the one radiating most noise on blade passing frequencies was selected. Two irregular fans with different angular distributions were tested and compared with standard fan noise. The paper presents the results of experiments carried out on these machines. The tests were done in a configuration close to that of ISO 3744 (sound power measurement). The first step was to evaluate the contribution of the fan to the total noise of the machine. The result depends of course on the machine, but the contribution is in all cases important, even very important as regards the external noise, it is negligible for the noise in the cabin. The investigations were continued on a machine for which the fan noise has strong tonal components. Two Irregular Blade Spacing Fans were then designed using simple modelling to be compared with the original fan. Measurements were made with the three fans in identical configurations at different engine and fan speeds. They confirm a first result previously acquired on a test bench, which is the conservation of the overall A-weighted level. The 1/3 octave spectra are also slightly modified. The impact is important on the discrete frequencies for which we observe very different distributions of the acoustic energy between the characteristic frequencies of the engine and the fans. The influence on 3 psychoacoustic criteria is also examined. In parallel, the influence of the Flexible Blade Extension which modify the shape of the spectra (decrease in broadband noise but increase in discrete frequencies) is analysed. Perspectives are then provided for further investigation of this subject, both in terms of experimental and simulation aspects.
A Sharp Discrepancy Bound for Jittered Sampling
Creators: name: Doerr, Benjamin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: Computational Geometry (cs.CG)
subject: Discrete Mathematics (cs.DM)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: For $m, d \in {\mathbb N}$, a jittered sampling point set $P$ having $N = m^d$ points in $[0,1)^d$ is constructed by partitioning the unit cube $[0,1)^d$ into $m^d$ axis-aligned cubes of equal size and then placing one point independently and uniformly at random in each cube. We show that there are constants $c \ge 0$ and $C$ such that for all $d$ and all $m \ge d$ the expected non-normalized star discrepancy of a jittered sampling point set satisfies \[c \,dm^{\frac{d-1}{2}} \sqrt{1 + \log(\tfrac md)} \le {\mathbb E} D^*(P) \le C\, dm^{\frac{d-1}{2}} \sqrt{1 + \log(\tfrac md)}.\] This discrepancy is thus smaller by a factor of $Θ\big(\sqrt{\frac{1+\log(m/d)}{m/d}}\,\big)$ than the one of a uniformly distributed random point set of $m^d$ points. This result improves both the upper and the lower bound for the discrepancy of jittered sampling given by Pausinger and Steinerberger (Journal of Complexity (2016)). It also removes the asymptotic requirement that $m$ is sufficiently large compared to $d$.
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images
Creators: name: Fu, Xiaohang
name: Bi, Lei
name: Kumar, Ashnil
name: Fulham, Michael
name: Kim, Jinman
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The identification of melanoma involves an integrated analysis of skin lesion images acquired using the clinical and dermoscopy modalities. Dermoscopic images provide a detailed view of the subsurface visual structures that supplement the macroscopic clinical images. Melanoma diagnosis is commonly based on the 7-point visual category checklist (7PC). The 7PC contains intrinsic relationships between categories that can aid classification, such as shared features, correlations, and the contributions of categories towards diagnosis. Manual classification is subjective and prone to intra- and interobserver variability. This presents an opportunity for automated methods to improve diagnosis. Current state-of-the-art methods focus on a single image modality and ignore information from the other, or do not fully leverage the complementary information from both modalities. Further, there is not a method to exploit the intercategory relationships in the 7PC. In this study, we address these issues by proposing a graph-based intercategory and intermodality network (GIIN) with two modules. A graph-based relational module (GRM) leverages intercategorical relations, intermodal relations, and prioritises the visual structure details from dermoscopy by encoding category representations in a graph network. The category embedding learning module (CELM) captures representations that are specialised for each category and support the GRM. We show that our modules are effective at enhancing classification performance using a public dataset of dermoscopy-clinical images, and show that our method outperforms the state-of-the-art at classifying the 7PC categories and diagnosis.