cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Emerging from uncertainty: How universities can underpin a research-led recovery from COVID-19
Creators: name: Fosci, Mattia
name: Loffreda, Lucia
name: Chiarelli, Andrea
name: Johnson, Rob
name: Carter, Ian
name: Hochman, Mark
Publisher: name: figshare
Year: 2020
Subjects: subject: 160511 Research, Science and Technology Policy
subject: FOS: Political science

description: This summary report, commissioned by Springer Nature, summarises the findings of a study that has examined the evidence of current and long-term impacts of COVID-19 on research activities within universities.This work focusses on two higher education systems, in the UK and Australia, which are particularly reliant on international student fees to cross-subsidise research. However, many of the findings are equally applicable to higher education and research systems globally, as are the risks of failing to protect investment in these systems over the coming years.
Additional file 1 of Strategies for maintaining and strengthening the health care workers during epidemics: a scoping review
Creators: name: Valiee, Sadra
name: Zarei Jelyani, Zahra
name: Kia, Mohammad
name: Jajarmizadeh, Ali
name: Delavari, Sajad
name: Shalyari, Naseh
name: Ahmadi Marzaleh, Milad
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1. Appendix 1. Search strategy on international databases. Appendix 2. Data summary and relevant findings in reviewed literature.
Digitaliserede folkeregisterfilm
Creators: Ullerup landsogn (Fredericia landdistrikt)
Vejlby Kommune
Bredstrup Kommune
Erritsø Kommune
Herslev Kommune
Pjedsted Kommune
Taulov Kommune
Publisher: name: Rigsarkivet
Year: 2023

description: Hovedregistret indeholder et folkeregisterkort for hver af de indbyggere, som boede i kommunen i 1970. Kvinder og børn er anført på ægtemandens kort.
Industriens salg af varer
Creators: Danmarks Statistik
Publisher: name: Rigsarkivet
Year: 2023

description: Formålet med 'Industriens salg af varer' er at belyse danske virksomheders salg af egen-fremstillede varer (i værdi og mængde), samt deres øvrige omsætning. Dette er bl.a. vigtigt for Nationalregnskabet og for at kunne levere tal til EU's produktionsstatistik (PRODCOM).
Local sublattice symmetry breaking for graphene with a centro-symmetric deformation
Creators: name: Schneider, Martin
name: Faria, Daiara
name: Kusminskiy, Silvia Viola
name: Sandler, Nancy
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We calculate the local density of states (LDOS) for an infinite graphene sheet with a single centro-symmetric out-of-plane deformation, in order to investigate measurable strain signatures on graphene. We focus on the regime of small deformations and show that the strain-induced pseudo- magnetic field induces an imbalance of the LDOS between the two triangular graphene sublattices in the region of the deformation. Real space imaging reveals a characteristic six-fold symmetry pattern where the sublattice symmetry is broken within each fold, consistent with experimental and tight-binding observations. The open geometry we study allows us to make use of the usual continuum model of graphene and to obtain results independent of boundary conditions. We provide an analytic perturbative expression for the contrast between the LDOS of each sub-lattice, showing a scaling law as a function of the amplitude and width of the deformation. We confirm our results by a numerically exact iterative scattering matrix method.
description: Minimal changes, version as published
Computational insights and in vitro validation of antibacterial potential of shikimate pathway : derived phenolic acids as nora efflux pump inhibitors.
Creators: name: Singh, Karishma
name: Coopoosamy, Roger M.
name: Gumede, Njabulo J.
name: Sabiu, Saheed
Publisher: name: Mangosuthu University of Technology (MUT)
Year: 2023
Subjects: Agricultural biotechnology not elsewhere classified
Food sciences not elsewhere classified
Food chemistry and food sensory science

description: The expression of the efflux pump systems is the most important mechanism of antibiotic resistance in bacteria, as it contributes to reduced concentration and the subsequent inactivity of administered antibiotics. NorA is one of the most studied antibacterial targets used as a model for efflux-mediated resistance. The present study evaluated shikimate pathway-derived phenolic acids against NorA (PDB ID: 1PW4) as a druggable target in antibacterial therapy using in silico modelling and in vitro methods. Of the 22 compounds evaluated, sinapic acid (−9.0 kcal/mol) and p-coumaric acid (−6.3 kcal/mol) had the best and most prominent affinity for NorA relative to ciprofloxacin, a reference standard (−4.9 kcal/mol). A further probe into the structural stability and flexibility of the resulting NorA-phenolic acids complexes through molecular dynamic simulations over a 100 ns period revealed p-coumaric acid as the best inhibitor of NorA relative to the reference standard. In addition, both phenolic acids formed H-bonds with TYR 76, a crucial residue implicated in NorA efflux pump inhibition. Furthermore, the phenolic acids demonstrated favourable drug likeliness and conformed to Lipinski’s rule of five for ADME properties. For the in vitro evaluation, the phenolic acids had MIC values in the range 31.2 to 62.5 µg/mL against S. aureus, and E. coli, and there was an overall reduction in MIC following their combination with ciprofloxacin. Taken together, the findings from both the in silico and in vitro evaluations in this study have demonstrated high affinity of p-coumaric acid towards NorA and could be suggestive of its exploration as a novel NorA efflux pump inhibitor.
Ultra-deep catalog of X-ray groups in the Extended Chandra Deep Field South
Creators: name: Finoguenov, A.
name: Tanaka, M.
name: Cooper, M.
name: Allevato, V.
name: Cappelluti, N.
name: Choi, A.
name: Heymans, C.
name: Bauer, F. E.
name: Ziparo, F.
name: Ranalli, P.
name: Silverman, J.
name: Brandt, W. N.
name: Xue, Y. Q.
name: Mulchaey, J.
name: Howes, L.
name: Schmid, C.
name: Wilman, D.
name: Comastri, A.
name: Hasinger, G.
name: Mainieri, V.
name: Luo, B.
name: Tozzi, P.
name: Rosati, P.
name: Capak, P.
name: Popesso, P.
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Ultra-deep observations of ECDF-S with Chandra and XMM-Newton enable a search for extended X-ray emission down to an unprecedented flux of $2\times10^{-16}$ ergs s$^{-1}$ cm$^{-2}$. We present the search for the extended emission on spatial scales of 32$^{\prime\prime}$ in both Chandra and XMM data, covering 0.3 square degrees and model the extended emission on scales of arcminutes. We present a catalog of 46 spectroscopically identified groups, reaching a redshift of 1.6. We show that the statistical properties of ECDF-S, such as logN-logS and X-ray luminosity function are broadly consistent with LCDM, with the exception that dn/dz/d$Ω$ test reveals that a redshift range of $0.2
description: 20 pages, 21 figures, 3 tables, to match the journal version
Homochirality: a prerequisite or consequence of life?
Creators: name: Brandenburg, Axel
Publisher: name: arXiv
Year: 2020
Subjects: subject: Biomolecules (q-bio.BM)
subject: FOS: Biological sciences

description: Many of the building blocks of life such as amino acids and nucleotides are chiral, i.e., different from their mirror image. Contemporary life selects and synthesizes only one of two possible handednesses. In an abiotic environment, however, there are usually equally many left- and right-handed molecules. If homochirality was a prerequisite of life, there must have been physical or chemical circumstances that led to the selection of a certain preference. Conversely, if it was a consequence of life, we must identify possible pathways for accomplishing a transition from a racemic to a homochiral chemistry. After a discussion of the observational evidence, I will review ideas where homochirality of any handedness could emerge as a consequence of the first polymerization events of nucleotides in an emerging RNA world. These mechanisms are not limited to nucleotides, but can also occur for peptides, as a precursor to the RNA world. The question of homochirality is, in this sense, intimately tied to the origin of life. Future Mars missions may be able to detect biomolecules of extant or extinct life. We will therefore also discuss possible experimental setups for determining the chirality of primitive life forms in situ on Mars.
description: 33 pages, 18 figures, to appear as Chapter 4 of "Prebiotic Chemistry and the Origin of Life", ed. A. Neubeck, & S. McMahon, Springer
Kernel Partial Correlation Coefficient -- a Measure of Conditional Dependence
Creators: name: Huang, Zhen
name: Deb, Nabarun
name: Sen, Bodhisattva
Publisher: name: arXiv
Year: 2020
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences
subject: 62H20, 62G08 (Primary) 60D05 (Secondary)

description: In this paper we propose and study a class of simple, nonparametric, yet interpretable measures of conditional dependence between two random variables $Y$ and $Z$ given a third variable $X$, all taking values in general topological spaces. The population version of any of these measures captures the strength of conditional dependence and it is 0 if and only if $Y$ and $Z$ are conditionally independent given $X$, and 1 if and only if $Y$ is a measurable function of $Z$ and $X$. Thus, our measure -- which we call kernel partial correlation (KPC) coefficient -- can be thought of as a nonparametric generalization of the partial correlation coefficient that possesses the above properties when $(X,Y,Z)$ is jointly normal. We describe two consistent methods of estimating KPC. Our first method utilizes the general framework of geometric graphs, including $K$-nearest neighbor graphs and minimum spanning trees. A sub-class of these estimators can be computed in near linear time and converges at a rate that automatically adapts to the intrinsic dimension(s) of the underlying distribution(s). Our second strategy involves direct estimation of conditional mean embeddings using cross-covariance operators in the reproducing kernel Hilbert spaces. Using these empirical measures we develop forward stepwise (high-dimensional) nonlinear variable selection algorithms. We show that our algorithm, using the graph-based estimator, yields a provably consistent model-free variable selection procedure, even in the high-dimensional regime when the number of covariates grows exponentially with the sample size, under suitable sparsity assumptions. Extensive simulation and real-data examples illustrate the superior performance of our methods compared to existing procedures. The recent conditional dependence measure proposed by Azadkia and Chatterjee (2019) can be viewed as a special case of our general framework.
description: 63 pages, 4 figures, 9 tables
Gaussian approximation for sums of region-stabilizing scores
Creators: name: Bhattacharjee, Chinmoy
name: Molchanov, Ilya
Publisher: name: arXiv
Year: 2021
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 60F05

description: We consider the Gaussian approximation for functionals of a Poisson process that are expressible as sums of region-stabilizing (determined by the points of the process within some specified regions) score functions and provide a bound on the rate of convergence in the Wasserstein and the Kolmogorov distances. While such results have previously been shown in Lachièze-Rey, Schulte and Yukich (2019), we extend the applicability by relaxing some conditions assumed there and provide further insight into the results. This is achieved by working with stabilization regions that may differ from balls of random radii commonly used in the literature concerning stabilizing functionals. We also allow for non-diffuse intensity measures and unbounded scores, which are useful in some applications. As our main application, we consider the Gaussian approximation of number of minimal points in a homogeneous Poisson process in $[0,1]^d$ with $d \ge 2$, and provide a presumably optimal rate of convergence.
description: Final version, minor changes
Innovating HVAC Industry with AI Models: The PreMaCOOL Journe
Creators: name: Anagnostis, Thanasis
Publisher: name: Zenodo
Year: 2023
Subjects: AImodels
energyforecasting
predictivemaintenance
HVACindustry
EOÅCservices
machinelearning
data-driven

description: Klimamichaniki was founded in Thessaloniki, Greece in 1984. It is an engineering consultancy and construction company with expertise on all HVAC systems. The company recently pivoted towards research and development via incorporating and applying AI methods within its modus operandi, to develop innovative solutions. For interoperable data services, explicitly-defined data variables are crucial for usability, aligning with FAIR principles. Poorly-aligned semantic resources, though, complicate cross-disciplinary use. Despite progress, the terminology field faces new challenges like multilingualism, sustainable concepts, and reuse. Unified strategies are needed for vocabulary definition across research areas. Challenges include completeness variations, monolithic frameworks, and limited curation. Åoftware designs for semantic artifacts must tackle data quality requirements.
A construction of swap or switch polynomials
Creators: name: Procesi, Claudio
Publisher: name: arXiv
Year: 2021
Subjects: subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics
subject: 15A72, 81P45

description: We discuss several constructions of swap polynomials, that is 2--tensor valued matrix polynomials which are multiples of the swap or switch operator.
description: this is a replacement since there was an error in the previous version
Energy bounds for a fourth-order equation in low dimensions related to wave maps
Creators: name: Schmid, Tobias
Publisher: name: arXiv
Year: 2021
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 35A01(Primary) 35G50 (Secondary)

description: For compact, isometrically embedded Riemannian manifolds $ N \hookrightarrow \mathbb{R}^L$, we introduce a fourth-order version of the wave map equation. By energy estimates, we prove an $\textit{a priori}$ estimate for smooth local solutions in the energy subcritical dimension $ n = 1,2$. The estimate excludes blow-up of a Sobolev norm in finite existence times. In particular, combining this with recent work of local well-posedness of the Cauchy problem, it follows that for smooth initial data with compact support, there exists a (smooth) unique global solution in dimension $n = 1,2$. We also give a proof of the uniqueness of solutions that are bounded in these Sobolev norms.
description: v2: typos fixed, introductory section updated and title changed according to request of referee. To appear Proc. Amer. Math. Soc
Molecular Dynamics Simulations of Solutions at Constant Chemical Potential
Creators: name: Perego, Claudio
name: Salvalaglio, Matteo
name: Parrinello, Michele
Publisher: name: arXiv
Year: 2015
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Molecular Dynamics studies of chemical processes in solution are of great value in a wide spectrum of applications, which range from nano-technology to pharmaceutical chemistry. However, these calculations are affected by severe finite-size effects, such as the solution being depleted as the chemical process proceeds, which influence the outcome of the simulations. To overcome these limitations, one must allow the system to exchange molecules with a macroscopic reservoir, thus sampling a Grand-Canonical ensemble. Despite the fact that different remedies have been proposed, this still represents a key challenge in molecular simulations. In the present work we propose the Constant Chemical Potential Molecular Dynamics (C$μ$MD) method, which introduces an external force that controls the environment of the chemical process of interest. This external force, drawing molecules from a finite reservoir, maintains the chemical potential constant in the region where the process takes place. We have applied the C$μ$MD method to the paradigmatic case of urea crystallization in aqueous solution. As a result, we have been able to study crystal growth dynamics under constant supersaturation conditions, and to extract growth rates and free-energy barriers.
description: 8 pages, 8 figures (Supplementary Information: 6 pages, 7 figures). Typos and labelling corrected Ver. 3: Minor comments added in Sec. 3. References 13,36,38 added. Minor text changes and typos corrected
Composted bagasse: an impact on agricultural crop production.
Creators: name: Alabi, David
name: Coopoosamy, Roger
name: Naidoo, Kuben
name: Georgina
Publisher: name: Mangosuthu University of Technology (MUT)
Year: 2023
Subjects: Conservation and biodiversity
Farm management, rural management and agribusiness

description: The huge accumulation of sugarcane by-products causes pollution and environmental degradation in the countries where they are grown. This sugarcane by-product is generally regarded as bagasse. It encompasses lignocellulose which is not exploited productively. Bagasse is potentially viable when varied into agrarian soils as natural nourishment. It can recuperate soil health and justifiable agricultural output by enhancing water absorbency, penetration, soil drainage, ventilation, and structure. Composted by-products are converted into nutritive organic manure and promising technology of waste disposal has been pre-treated and/or inoculated with cellulose-degrading organisms. It enables both local and industrial reconditioning and firm handling of unwanted carbon-based substances. Organic solid waste is suitable for composting because they are biodegradable. The final product of this composting is opulent in micro and macronutrients and contains plant carbon with an increased microbial population. Organic fertilizer is cheap and affordable. It reduces the cost of using inorganic fertilizer.
Sequence-Based Filtering for Visual Route-Based Navigation: Analysing the Benefits, Trade-offs and Design Choices
Creators: name: Tomită, Mihnea-Alexandru
name: Zaffar, Mubariz
name: Milford, Michael
name: McDonald-Maier, Klaus
name: Ehsan, Shoaib
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Visual Place Recognition (VPR) is the ability to correctly recall a previously visited place using visual information under environmental, viewpoint and appearance changes. An emerging trend in VPR is the use of sequence-based filtering methods on top of single-frame-based place matching techniques for route-based navigation. The combination leads to varying levels of potential place matching performance boosts at increased computational costs. This raises a number of interesting research questions: How does performance boost (due to sequential filtering) vary along the entire spectrum of single-frame-based matching methods? How does sequence matching length affect the performance curve? Which specific combinations provide a good trade-off between performance and computation? However, there is lack of previous work looking at these important questions and most of the sequence-based filtering work to date has been used without a systematic approach. To bridge this research gap, this paper conducts an in-depth investigation of the relationship between the performance of single-frame-based place matching techniques and the use of sequence-based filtering on top of those methods. It analyzes individual trade-offs, properties and limitations for different combinations of single-frame-based and sequential techniques. A number of state-of-the-art VPR methods and widely used public datasets are utilized to present the findings that contain a number of meaningful insights for the VPR community.
description: 7 pages, currently under-review
Phases and phase transitions of a perturbed Kekulé-Kitaev model
Creators: name: Quinn, Eoin
name: Bhattacharjee, Subhro
name: Moessner, Roderich
Publisher: name: arXiv
Year: 2015
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We study the quantum spin liquid phase in a variant of the Kitaev model where the bonds of the honeycomb lattice are distributed in a Kekulé pattern. The system supports gapped and gapless Z_2 quantum spin liquids with interesting differences from the original Kitaev model, the most notable being a gapped Z_2 spin liquid on a Kagome lattice. Perturbing the exactly solvable model with antiferromagnetic Heisenberg perturbations, we find a magnetically ordered phase stabilized by a quantum `order by disorder' mechanism, as well as an exotic continuous phase transition between the topological spin liquid and this magnetically ordered phase. Using a combination of field theory and Monte-Carlo simulations, we find that the transition likely belongs to the 3D-XYxZ_2 universality class.
description: 15 pages, 11 figures
Status of the Higgs Singlet Extension of the Standard Model after LHC Run 1
Creators: name: Robens, Tania
name: Stefaniak, Tim
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We discuss the current status of theoretical and experimental constraints on the real Higgs singlet extension of the Standard Model. For the second neutral (non-standard) Higgs boson we consider the full mass range from 1 GeV to 1 TeV accessible at past and current collider experiments. We separately discuss three scenarios, namely, the case where the second Higgs boson is lighter than, approximately equal to, or heavier than the discovered Higgs state at around 125 GeV. We investigate the impact of constraints from perturbative unitarity, electroweak precision data with a special focus on higher order contributions to the W boson mass, perturbativity of the couplings as well as vacuum stability. The latter two are tested up to a scale of 4 x 10^10 GeV using renormalization group equations. Direct collider constraints from Higgs signal rate measurements at the LHC and 95% C.L. exclusion limits from Higgs searches at LEP, Tevatron and LHC are included via the public codes HiggsSignals and HiggsBounds, respectively. We identify the strongest constraints in the different regions of parameter space. We comment on the collider phenomenology of the remaining viable parameter space and the prospects for a future discovery or exclusion at the LHC.
description: 42 pages, 18 figures; v2: minor changes, some references added, corresponds to published journal version
Polar degree and vanishing cycles
Creators: name: Siersma, Dirk
name: Tibăr, Mihai
Publisher: name: arXiv
Year: 2021
Subjects: subject: Algebraic Geometry (math.AG)
subject: Complex Variables (math.CV)
subject: FOS: Mathematics
subject: 32S30, 14C17, 32S50, 55R55

description: We prove that the polar degree of an arbitrarily singular projective hypersurface can be decomposed as a sum of non-negative numbers which represent local vanishing cycles of two different types. This yields lower bounds for the polar degree of any singular projective hypersurface.
description: accepted for publication by the Journal of Topology
The physical origin of waves in magnetocardiography technique and their applications in imaging.
Creators: name: Fioranelli, Massimo
name: Roccia, Maria Grazia
name: Beesham, Aroonkumar
name: Flavin, Dana
name: Shoorvazi, Somayyeh
Publisher: name: Mangosuthu University of Technology (MUT)
Year: 2023
Subjects: Cardiology (incl. cardiovascular diseases)
Cardiovascular medicine and haematology not elsewhere classified
Cancer cell biology

description: In this research, we propose a theoretical model which helps us to consider evolutions of some special heart cells by using superconducting quantum interface devices (SQUID) in a magnetocardiography (MCG) technique. In this model, each cell has its own special electrical structure including ions and charges. These charges move within or outside the cell and emit some magnetic fields. Also, some charges have spins which emit spinning magnetic fields. Summing over these biofields produces the real biofield of a cell. All cellular magnetic fields are summed and enter into the sensor (SQUID) and form the observed pulse on the scope. On the other hand, each biofield induces a current on the superconductor of detector. To consider evolutions of a special cell, one can produce some currents, equal and in opposite directions of currents which are induced by other cells. These currents cancel effects of other cells and only the current and magnetic field of a desired cell is remained. Thus, one can analyze the behavior of one special cell. For example, if a cell converts to a tumor one, its radiated charges and magnetic fields are changed. These changes could be detected by SQUID and tumors could be diagnosed fast.
Additional file 1 of Corticotropin-releasing Factor Receptor 2 Mediates Sex-Specific Cellular Stress Responses
Creators: name: Kubat, Eric
name: Mahajan, Shilpi
name: Liao, Min
name: Ackerman, Larry
name: Ohara, Peter T.
name: Grady, Eileen F.
name: Bhargava, Aditi
Publisher: name: figshare
Year: 2023
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mental Health

description: Supplementary material, approximately 3.28 MB.
Extended TQFTs From Non-Semisimple Modular Categories
Creators: name: De Renzi, Marco
Publisher: name: arXiv
Year: 2021
Subjects: subject: Geometric Topology (math.GT)
subject: FOS: Mathematics

description: We construct 3-dimensional once-Extended Topological Quantum Field Theories (ETQFTs for short) out of (possibly non-semisimple) modular categories, and we explicitly identify linear categories and functors in their image. The circle category of an ETQFT produced by our construction is equivalent to the full subcategory of projective objects of the underlying modular category. In particular, it need not be semisimple.
description: 35 pages, minor changes, references added
Instability of Quantum de Sitter Spacetime
Creators: name: Ho, Chiu Man
name: Hsu, Stephen D. H.
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Quantized fields (e.g., the graviton itself) in de Sitter (dS) spacetime lead to particle production: specifically, we consider a thermal spectrum resulting from the dS (horizon) temperature. The energy required to excite these particles reduces slightly the rate of expansion and eventually modifies the semiclassical spacetime geometry. The resulting manifold no longer has constant curvature nor time reversal invariance, and back-reaction renders the classical dS background unstable to perturbations. In the case of AdS, there exists a global static vacuum state; in this state there is no particle production and the analogous instability does not arise.
description: 3 pages, v2: version to appear in JHEP
Supplemental tables and figures
Creators: name: Hu, Min
name: Yuehui Zhang
name: Li, Xin
name: Cui, Peng
name: Sferruzzi-Perri, Amanda Nancy
name: Brännström, Mats
name: Shao, Linus R
name: Billig, Håkan
Publisher: name: figshare
Year: 2020
Subjects: subject: 111601 Cell Physiology
subject: FOS: Basic medicine
subject: 110704 Cellular Immunology
subject: FOS: Clinical medicine
subject: Diseases
subject: 110306 Endocrinology
subject: 110707 Innate Immunity
subject: 111402 Obstetrics and Gynaecology
subject: 111404 Reproduction
subject: FOS: Medical biotechnology

description: These supplemental tables and figures are used for supporting the manuscript entitled "TLR4/IRF-7/NFĸB signaling is a molecular link between androgen and metformin activities and cytokine synthesis in the PCOS endometrium".
Light axial vector mesons
Creators: name: Chen, Kan
name: Pang, Cheng-Qun
name: Liu, Xiang
name: Matsuki, Takayuki
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Inspired by the abundant experimental observation of axial-vector states, we study whether the observed axial-vector states can be categorized into the conventional axial-vector meson family. In this paper we carry out an analysis based on the mass spectra and two-body Okubo-Zweig-Iizuka-allowed decays. Besides testing the possible axial-vector meson assignments, we also predict abundant information for their decays and the properties of some missing axial-vector mesons, which are valuable for further experimental exploration of the observed and predicted axial-vector mesons.
description: 18 pages, 11 tables and 25 figures. More discussion added and typos corrected. Accepted by Phys. Rev. D
Enhancing Medical Image Registration via Appearance Adjustment Networks
Creators: name: Meng, Mingyuan
name: Bi, Lei
name: Fulham, Michael
name: Feng, David Dagan
name: Kim, Jinman
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Deformable image registration is fundamental for many medical image analyses. A key obstacle for accurate image registration lies in image appearance variations such as the variations in texture, intensities, and noise. These variations are readily apparent in medical images, especially in brain images where registration is frequently used. Recently, deep learning-based registration methods (DLRs), using deep neural networks, have shown computational efficiency that is several orders of magnitude faster than traditional optimization-based registration methods (ORs). DLRs rely on a globally optimized network that is trained with a set of training samples to achieve faster registration. DLRs tend, however, to disregard the target-pair-specific optimization inherent in ORs and thus have degraded adaptability to variations in testing samples. This limitation is severe for registering medical images with large appearance variations, especially since few existing DLRs explicitly take into account appearance variations. In this study, we propose an Appearance Adjustment Network (AAN) to enhance the adaptability of DLRs to appearance variations. Our AAN, when integrated into a DLR, provides appearance transformations to reduce the appearance variations during registration. In addition, we propose an anatomy-constrained loss function through which our AAN generates anatomy-preserving transformations. Our AAN has been purposely designed to be readily inserted into a wide range of DLRs and can be trained cooperatively in an unsupervised and end-to-end manner. We evaluated our AAN with three state-of-the-art DLRs on three well-established public datasets of 3D brain magnetic resonance imaging (MRI). The results show that our AAN consistently improved existing DLRs and outperformed state-of-the-art ORs on registration accuracy, while adding a fractional computational load to existing DLRs.
description: Published at NeuroImage
MOESM1 of Corticotropin-releasing Factor Receptor 2 Mediates Sex-Specific Cellular Stress Responses
Creators: name: Kubat, Eric
name: Mahajan, Shilpi
name: Liao, Min
name: Ackerman, Larry
name: Ohara, Peter
name: Grady, Eileen
name: Bhargava, Aditi
Publisher: name: figshare
Year: 2013
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Supplementary material, approximately 3.28 MB.
Goditta: A case study of leadership, ethics, and decision making .docx
Creators: name: Ngalula Mutsipayi
Publisher: name: figshare
Year: 2019
Subjects: subject: 220102 Business Ethics
subject: FOS: Philosophy, ethics and religion
subject: 130205 Humanities and Social Sciences Curriculum and Pedagogy (excl. Economics, Business and Management)
subject: FOS: Educational sciences
subject: 130304 Educational Administration, Management and Leadership

description: AbstractOn Christmas Eve of 2013 Javier Del Vicente pondered his choices. He had to decide soon because extremely high level of lead had been discovered in close to 10 million produced and distributed toy parts from his newly acquired toy factory Goditta. Two cases of children’s death and three cases of severe blood lead poisoning related to the toy parts have been reported. With the lead discovery crisis, Javier is faced with a critical regulatory issue, which could not only lead to the indefinite closure of Goditta, but also to a financial loss of 75 percent of the factory’s revenue. After an urgent meeting with his personal lawyer and a 5-hour conference call meeting with the factory’s key stakeholders about the lead crisis, Javier is left with a decision to make. Addressing the crisis according to the laws and regulations in the toy industry by recalling the tainted products could potentially cost him everything. Privately settling the five cases and then sweeping the lead issue under the carpet meant putting at risk the lives of all the consumers, mostly children as young as twelve months and compromising on his ethical and spiritual values. Whatever decision Javier is going to take would thus impact his factory, his conscious, and his reputation.
Goditta: A case study of leadership, ethics, and decision-making
Creators: name: Ngalula Mutsipayi
Publisher: name: figshare
Year: 2019
Subjects: subject: 220102 Business Ethics
subject: FOS: Philosophy, ethics and religion
subject: 130205 Humanities and Social Sciences Curriculum and Pedagogy (excl. Economics, Business and Management)
subject: FOS: Educational sciences
subject: 130304 Educational Administration, Management and Leadership

description: AbstractOn Christmas Eve of 2013 Javier Del Vicente pondered his choices. He had to decide soon because extremely high level of lead had been discovered in close to 10 million produced and distributed toy parts from his newly acquired toy factory Goditta. Two cases of children’s death and three cases of severe blood lead poisoning related to the toy parts have been reported. With the lead discovery crisis, Javier is faced with a critical regulatory issue, which could not only lead to the indefinite closure of Goditta, but also to a financial loss of 75 percent of the factory’s revenue. After an urgent meeting with his personal lawyer and a 5-hour conference call meeting with the factory’s key stakeholders about the lead crisis, Javier is left with a decision to make. Addressing the crisis according to the laws and regulations in the toy industry by recalling the tainted products could potentially cost him everything. Privately settling the five cases and then sweeping the lead issue under the carpet meant putting at risk the lives of all the consumers, mostly children as young as twelve months and compromising on his ethical and spiritual values. Whatever decision Javier is going to take would thus impact his factory, his conscious, and his reputation.
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics
Creators: name: Gu, Bingxin
name: Meng, Mingyuan
name: Bi, Lei
name: Kim, Jinman
name: Feng, David Dagan
name: Song, Shaoli
Publisher: name: arXiv
Year: 2021
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Applications (stat.AP)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Objective: Deep Learning-based Radiomics (DLR) has achieved great success in medical image analysis and has been considered a replacement for conventional radiomics that relies on handcrafted features. In this study, we aimed to explore the capability of DLR for the prediction of 5-year Progression-Free Survival (PFS) in Nasopharyngeal Carcinoma (NPC) using pretreatment PET/CT. Methods: A total of 257 patients (170/87 in internal/external cohorts) with advanced NPC (TNM stage III or IVa) were enrolled. We developed an end-to-end multi-modality DLR model, in which a 3D convolutional neural network was optimized to extract deep features from pretreatment PET/CT images and predict the probability of 5-year PFS. TNM stage, as a high-level clinical feature, could be integrated into our DLR model to further improve the prognostic performance. To compare conventional radiomics and DLR, 1456 handcrafted features were extracted, and optimal conventional radiomics methods were selected from 54 cross-combinations of 6 feature selection methods and 9 classification methods. In addition, risk group stratification was performed with clinical signature, conventional radiomics signature, and DLR signature. Results: Our multi-modality DLR model using both PET and CT achieved higher prognostic performance than the optimal conventional radiomics method. Furthermore, the multi-modality DLR model outperformed single-modality DLR models using only PET or only CT. For risk group stratification, the conventional radiomics signature and DLR signature enabled significant differences between the high- and low-risk patient groups in both internal and external cohorts, while the clinical signature failed in the external cohort. Conclusion: Our study identified potential prognostic tools for survival prediction in advanced NPC, suggesting that DLR could provide complementary values to the current TNM staging.
description: Accepted at Frontiers in Oncology
Additional file 1 of Evaluation of the Antitumor Activity of Dacomitinib in Models of Human Bladder Cancer
Creators: name: Grivas, Petros D.
name: Day, Kathleen C.
name: Karatsinides, Andreas
name: Paul, Alyssa
name: Shakir, Nazia
name: Owainati, Iya
name: Liebert, Monica
name: Kunju, Lakshmi P.
name: Thomas, Dafydd
name: Hussain, Maha
name: Day, Mark L.
Publisher: name: figshare
Year: 2023
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Supplementary material, approximately 85.2 KB.
Predicting phase preferences of two-dimensional transition metal dichalcogenides using machine learning
Creators: name: Kumar, Pankaj
name: Sharma, Vinit
name: Shirodkar, Sharmila
name: Dev, Pratibha
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Two-dimensional transition metal dichalcogenides (TMDs) can adopt one of several possible structures, with the most common being the trigonal prismatic and octahedral symmetry phases. Since the structure determines the electronic properties, being able to predict phase-preferences of TMDs from just the knowledge of the constituent atoms is highly desired, but has remained a long-standing problem. In this study, we applied high-throughput quantum mechanical computations with machine learning algorithms to solve this old problem. Our analysis provides insights into determining physiochemical factors that dictate the phase-preference of a TMD, identifying and going beyond the attributes considered by earlier researchers in predicting crystal structures. A knowledge of these underlying physiochemical factors not only helps us to rationalize, but also to accurately predict structural preferences. We show that machine learning algorithms are powerful tools that can be used not only to find new materials with targeted properties, but also to find connections between elemental attributes and the target property/properties that were not previously obvious.
title: Οι στάβλοι της Καρπάθου: Μορφολογική και τυπολογική ανάλυση
title: The stables of Karpathos: Morphological and typical  analysis
Creators: name: Φραγκου Φωτεινη-Ευδοξια
Publisher: name: Technical University of Crete
Year: 2025

description:   Η παρούσα ερευνητική εργασία αφορά μία εκτεταμένη μελέτη πάνω στον Καρπάθικο στάβλο, ο οποίος αποτέλεσε οικονομικό πυρήνα των ντόπιων έως τα μέσα του 20ου αιώνα και σήμερα θα μπορούσαμε να τον χαρακτηρίσουμε ως μνημείο, λόγω της αρχιτεκτονικής του ιδιαιτερότητας αλλά και των αναμνήσεων που κουβαλάει.
  Ξεκινώντας με μία σύντομη εισαγωγή για το νησί της Καρπάθου και με μία ιστορική αναδρομή του στάβλου, προχωράμε στην παρουσίαση και ανάλυση διαφορετικών τύπων κατόψεων, με βάση το σχήμα τους, τους βοηθητικούς χώρους που διαθέτουν και τη χρήση τους. Επίσης, οι αγροικίες αναλύονται και σε επίπεδο όψεων.
  Επεξηγείται ο λόγος της συγκεκριμένης χωροθέτησης του στάβλου στο αγρόκτημα με βάση το κλίμα και το ανάγλυφο της κάθε περιοχής, όπως και ο λόγος επιλογής των υλικών δόμησής τους.
  Τέλος γίνεται αναφορά στην σημερινή κατάστασή τους και προβαίνουμε σε συμπεράσματα ως προς την μοναδικότητα των κατόψεών του, αλλά και τις ομοιότητες που παρουσιάζουν οι όψεις του με αγροικίες άλλων περιοχών της Ελλάδας.
  Κλείνοντας τη μελέτη παρατίθεται τεύχος με αποτυπώσεις και φωτογραφικό υλικό διαφορετικών τύπων του Καρπάθικου στάβλου, οι οποίες συμπληρώνουν την μελέτη και βοηθούν τον αναγνώστη να αποκτήσει μία ολοκληρωμένη εικόνα για τα αγροτικά κτίσματα του νησιού, αφού μέχρι σήμερα ελάχιστοι είχαν ασχοληθεί με αυτά και οι μελέτες που υπάρχουν γίνονται ανά οικισμό και όχι στο σύνολο του νησιού.
Hard-gluon Evolution of Nucleon Generalized Parton Distributions in Soft-Wall AdS/QCD Model
Creators: name: Dehghani, Majid
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Holographic soft-wall model is successful in the phenomenology of hadrons. Here with the use of generalized parton distributions (GPDs) obtained from AdS/QCD, perturbative effects are entered into the formalism. Perturbations are incorporated in the formalism through the evolution of GPDs according to the DGLAP like equations. Evolved proton GPDs are compared with a phenomenological model to show that we can get good improvements of the holographic model. It seems that combining the holographic soft-wall model with perturbative effects to some extent, gives the correct physics of GPDs.
description: 14 pages, 3 figures
Data formats for gamma-ray astronomy - version 0.3
Creators: name: Deil, Christoph
name: Wood, Matthew
name: Hassan, Tarek
name: Boisson, Catherine
name: Contreras, Jose Luis
name: Knödlseder, Jürgen
name: Khelifi, Bruno
name: King, Johannes
name: Mohrmann, Lars
name: Linhoff, Maximilian
name: Donath, Axel
Publisher: name: Zenodo
Year: 2022
Subjects: astronomy, gamma-ray, data, format, specification

description: The data formats for gamma-ray astronomy contain high-level data format specifications, ranging from event lists and instrument response formats to maps, spectra and lightcurves. This version 0.3 describes the formats currently in use and under development by various instruments (e.g. CTA, HESS, MAGIC, VERITAS, FACT, Fermi-LAT) and science tools (e.g. Gammapy and Gammalib). The data formats for gamma-ray astronomy are also available at https://gamma-astro-data-formats.readthedocs.io/ and are written and discussed at https://github.com/open-gamma-ray-astro/gamma-astro-data-formats .
Cosmological perturbations in f(G) gravity
Creators: name: Munyeshyaka, Albert
name: Ntahompagaze, Joseph
name: Mutabazi, Tom
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We explore cosmological perturbations in a modified Gauss-Bonnet f(G) gravity, using a 1+3 covariant formalism. In such a formalism, we define gradient variables to get perturbed linear evolution equations. We transform these linear evolution equations into ordinary differential equations using a spherical harmonic decomposition method. The obtained ordinary differential equations are time-dependent and then transformed into redshift dependent. After these transformations, we analyze energy-density perturbations for two-fluid systems, namely for a Gauss-Bonnet field-dust system and for a Gaus-Bonnet field-radiation system for three different pedagogical f(G) models: trigonometric, exponential, and logarithmic. For the Gauss-Bonnet field-dust system, energy-density perturbations decay with an increase in redshift for all three models. For the Gauss-Bonnet field-radiation system, the energy-density perturbations decay with an increase in redshift for all of the three f(G) models for long-wavelength modes whereas for short-wavelength modes, the energy-density perturbations decay with increasing redshift for the logarithmic and exponential f(G) models and oscillate with decreasing amplitude for the trigonometric f(G) model.
description: 32 pages, 9 figures
Steady General Relativistic Magnetohydrodynamic Inflow/Outflow Solution along Large-Scale Magnetic Fields that Thread a Rotating Black Hole
Creators: name: Pu, Hung-Yi
name: Nakamura, Masanori
name: Hirotani, Kouichi
name: Mizuno, Yosuke
name: Wu, Kinwah
name: Asada, Keiichi
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: General relativistic magnetohydrodynamic (GRMHD) flows along magnetic fields threading a black hole can be divided into inflow and outflow parts, according to the result of the competition between the black hole gravity and magneto-centrifugal forces along the field line. Here we present the first self-consistent, semi-analytical solution for a cold, Poynting flux-dominated (PFD) GRMHD flow, which passes all four critical (inner and outer, Alfven and fast magnetosonic) points along a parabolic streamline. By assuming that the dominating (electromagnetic) component of the energy flux per flux tube is conserved at the surface where the inflow and outflow are separated, the outflow part of the solution can be constrained by the inflow part. The semi-analytical method can provide fiducial and complementary solutions for GRMHD simulations around the rotating black hole, given that the black hole spin, global streamline, and magnetizaion (i.e., a mass loading at the inflow/outflow separation) are prescribed. For reference, we demonstrate a self-consistent result with the work by McKinney in a quantitative level.
description: 13 Pages, incliding 2 tables and 5 Figures; accepted by ApJ
Beurteilung von Forschungssoftware in NFDI4Culture
Creators: name: Jettka, Daniel
name: Marčić, Aleksander
Publisher: name: Zenodo
Year: 2022
Subjects: Software
Forschungssoftware
Research software
Forschungssoftwaremanagement
Research software management
Software sustainability
Nachhaltigkeit von Software
Zertifizierung
Certification
NFDI
Nationale Forschungsdateninfrastruktur
NFDI4Culture

description: Präsentation im Rahmen des NFDI4Culture Expert:innenforum "Nachhaltige Softwareentwicklung in NFDI4Culture" zu den Themen Beurteilungskriterien für das CKIT Rezensionsjournal und Beurteilung/Zertifizierung von Forschungssoftware inkl. Anforderungen und Beispiele für Zertifikate.
description: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 441958017