cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Survey Observations to Study Chemical Evolution from High-mass Starless Cores to High-mass Protostellar Objects I: HC3N and HC5N
Creators: name: Taniguchi, Kotomi
name: Saito, Masao
name: Sridharan, T. K.
name: Minamidani, Tetsuhiro
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We carried out survey observations of HC$_{3}$N and HC$_{5}$N in the 42$-$45 GHz band toward 17 high-mass starless cores (HMSCs) and 35 high-mass protostellar objects (HMPOs) with the Nobeyama 45 m radio telescope. We have detected HC$_{3}$N from 15 HMSCs and 28 HMPOs, and HC$_{5}$N from 5 HMSCs and 14 HMPOs, respectively. The average values of the column density of HC$_{3}$N are found to be ($5.7 \pm 0.7$)$\times 10^{12}$ and ($1.03 \pm 0.12$)$\times 10^{13}$ cm$^{-2}$ in HMSCs and HMPOs, respectively. The average values of the fractional abundance of HC$_{3}$N are derived to be ($6.6 \pm 0.8$)$\times 10^{-11}$ and ($3.6 \pm 0.5$)$\times 10^{-11}$ in HMSCs and HMPOs, respectively. We find that the fractional abundance of HC$_{3}$N decreases from HMSCs to HMPOs using the Kolmogorov-Smirnov test. On the other hand, its average value of the column density slightly increases from HMSCs to HMPOs. This may imply that HC$_{3}$N is newly formed in dense gas in HMPO regions. We also investigate the relationship between the column density of HC$_{3}$N in HMPOs and the luminosity-to-mass ratio ($L/M$), a physical evolutional indicator. The column density of HC$_{3}$N tends to decrease with increasing the $L/M$ ratio, which suggests that HC$_{3}$N is destroyed by the stellar activities.
description: 18 pages, 8 figures, 5 tables, Accepted by The Astrophysical Journal
Non-dense sets of subvarieties in a power of an elliptic curve
Creators: name: Evelina, Viada
Publisher: name: arXiv
Year: 2007
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11J95, 14K12, 11G50, 11D45

description: Let V be an algebraic variety embedded in a power of an elliptic curve, both defined over the algebraic numbers. We show that the set of algebraic points of V which are of bounded height and which satisfy certain algebraic conditions are a non-dense subset of V. This result has implications in the context of the Pink-Zilber Conjecture and Mordel-Lang plus Bogomolov Theorem.
description: 34 pages
Other- versus Self-Referenced Social Impacts of Events: Validating a New Scale
Creators: name: Taks, Marijke
name: Oshimi, Daichi
name: Agha, Nola
Publisher: name: My University
Year: 2020
Subjects: media framing
olympic and paralympic games
projection bias
public discourse
recency bias
Tokyo 2020

description: Publicly funded sport events are partially justified based on positive social impacts. Past research generally measured social impact for a generic and global “other” with claims such as “Events create new friendships in the community”. These other-referenced (OR) social impacts are generally higher pre-event than post-event and are inflated for both methodological and theoretical reasons. In the pre-event period of the Tokyo 2020 Olympic and Paralympic Games, we empirically tested OR items compared to self-referenced (SR) items, such as “Because of the event, I create new friends in the community” and allowed projection bias to vary between scales. Results of the experiment between an OR-Social Impact Scale (OR-SIS) and a similar SR-SIS confirmed OR-measures to be significantly higher than SR-measures. While artificially inflated OR scores may be useful for event organizers and politicians to gain support for hosting, estimates based on circumscribed self (SR) are a methodologically appropriate measurement of social impact.
Additional file 12 of High-parameter cytometry unmasks microglial cell spatio-temporal response kinetics in severe neuroinflammatory disease
Creators: name: Spiteri, Alanna G.
name: Terry, Rachel L.
name: Wishart, Claire L.
name: Ashhurst, Thomas M.
name: Campbell, Iain L.
name: Hofer, Markus J.
name: King, Nicholas J. C.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Additional file 12 IL-23 is under the detection threshold in WNV infected brains. Quantity of IL-23 (p19/p40) in mock and WNV-infected mice at dpi 7, as determined using an ELISA.
Dual Boundary Conditions in 3d SCFT's
Creators: name: Dimofte, Tudor
name: Gaiotto, Davide
name: Paquette, Natalie M.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We propose matching pairs of half-BPS boundary conditions related by IR dualities of 3d $\mathcal{N}=2$ gauge theories. From these matching pairs we construct duality interfaces. We test our proposals by anomaly matching and the computation of supersymmetric indices. Examples include basic abelian dualities, level-rank dualities, and Aharony dualities.
description: 99 pages, 3 figures. v2: minor edits, appendix on Weyl-Kac formula added
Additional file 9 of Overexpression VaPYL9 improves cold tolerance in tomato by regulating key genes in hormone signaling and antioxidant enzyme
Creators: name: Nai, Guojie
name: Liang, Guoping
name: Ma, Weifeng
name: Lu, Shixiong
name: Li, Yanmei
name: Gou, Huimin
name: Guo, Lili
name: Chen, Baihong
name: Mao, Juan
Publisher: name: figshare
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Plant Biology

description: Additional file 9: Supplementary Fig S7. Co-transformation of VaPYL9 and VaPCMT. VaPYL9 and VaPCMT were together introduced into Y2H gold and its presence was identified in Y2H gold by 1 % agarose gel electrophoresis.
Additional file 1 of High-parameter cytometry unmasks microglial cell spatio-temporal response kinetics in severe neuroinflammatory disease
Creators: name: Spiteri, Alanna G.
name: Terry, Rachel L.
name: Wishart, Claire L.
name: Ashhurst, Thomas M.
name: Campbell, Iain L.
name: Hofer, Markus J.
name: King, Nicholas J. C.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Additional file 1 Collagenase and DNase digestion increases live leukocyte yield from murine brains. Percent (a, c, e, g, I, k) and number (b, d, f, h, j, l) of total live (a, b, g, h), live CD45+CD11b+, CD45+CD11b- (c, d, I, j) and live myeloid and lymphoid populations (e, f, k, l) from mock-infected (a-f) and WNV-infected (g-l) murine brains. a, b, g, h, *P<0.0332, Mann-Whitney Test, c-f, i-l, *P<0.0332, **P<0.0021, ***P<0.0002, Two -way ANOVA with a Šídák's multiple comparisons test.
On melt solutions for the growth of CaTiO$_3$ crystals
Creators: name: Klimm, Detlef
name: Schmidt, Max
name: Wolff, Nora
name: Guguschev, Christo
name: Ganschow, Steffen
Publisher: name: arXiv
Year: 2018
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: When calcium titanate crystals are grown from stoichiometric melts, they crystallize in the cubic perovskite structure. Upon cooling to room temperature they undergo subsequent phase transitions to tetragonal and orthorhombic modifications. These phase transitions are disruptive and result in severely damaged crystals. This paper presents differential thermal analysis data for several prospective solvents, with the aim to identify a system offering the possibility to perform crystal growth of undistorted CaTiO$_3$ crystals by crystallizing them significantly below the melting point directly in the low temperature modification. From mixtures CaF$_2$:TiO$_2$:CaTiO$_3$ = 3:1:1 (molar ratio) the growth of undistorted, at least millimeter-sized CaTiO$_3$ crystals is possible.
description: 12 pages, 6 figures, submitted to J. Crystal Growth
Synthesis of Silica Supported Iron Oxide Nanoparticles for Hexavalent Chromium Removal from Aqueous Solutions
Creators: name: Edris, Jibril
name: Gupta, Neeraj
name: Zereffa, Enyew Amare
Publisher: name: Ethiopian Journal of Sciences and Sustainable Development
Year: 2019

description: Iron oxide nanoparticles (NPs) were synthesized by the chemical precipitation method using 1:2 ferric chloride hexahydrate (FeCl3.6H2O) and ferrous sulphate heptahydrate (FeSO4.7H2O) precursors and ammonium hydroxide (NH4OH) precipitating agent. These NPs were evaluated for their performance as adsorbents for hexavalent chromium ions (Cr (VI)) in aqueous solutions. Silicon dioxide gel (SiO2) was also incorporated during synthesis to improve the adsorption characteristics of the NPs. The NPs (with out and with SiO2 gel (iron oxide NPs-SiO2) were characterized by XRD and FTIR spectroscopy. By XRD, it was evidenced that the iron oxide NPs and iron oxide NPs-SiO2 adsorbents were mixed oxides of magnetite (Fe3O4) and maghemite (γ-Fe2O3) with small crystallite size of 13.5 nm and 12.8 nm respectively. The mixed oxides were formed as a result of the synthesis parameters and drying temperature at 1500C in air. The change of the black color of the just synthesized NPs to orange brown also inferred the transformation of Fe3O4 to γ-Fe2O3. Further evidence of mixed oxides is provided by the FTIR analysis wherein the characteristic bands of γ-Fe2O3 around 582 cm-1 and the distinct high-frequency shoulder in the proximity of 635 cm- 1 to 642 cm-1 are evidenced besides those of Fe3O4.The effect of different parameters such as pH, Cr (VI) ions concentration, adsorbent dose and contact time on the efficiency of adsorption showed that the iron oxide NPs-SiO2 adsorbent showed better performance for the removal of Cr (VI) ions under acidic pH at room temperature compared to the iron oxide NPs adsorbent. The maximum uptake of Cr (VI) ions by the iron oxide NPs-SiO2 adsorbent increased from 80% to 96.5% by decreasing its initial concentration from 60 mg l-1 to 20 mg l-1 at optimum conditions. Analysis of the adsorption isotherms of the iron oxide NPs-SiO2 adsorbent by the Langmuir and Freundlich models showed that the experimental data fitted well to the Langmuir model suggesting monolayer coverage of Cr (VI) ions mainly on the outer surface of the adsorbent.
description: Ethiopian Journal of Sciences and Sustainable Development, Vol 6 No 2 (2019): EJSSD
Complexity of Scheduling Charging in the Smart Grid
Creators: name: de Weerdt, Mathijs
name: Albert, Michael
name: Conitzer, Vincent
Publisher: name: arXiv
Year: 2017
Subjects: subject: Computational Complexity (cs.CC)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: In the smart grid, the intent is to use flexibility in demand, both to balance demand and supply as well as to resolve potential congestion. A first prominent example of such flexible demand is the charging of electric vehicles, which do not necessarily need to be charged as soon as they are plugged in. The problem of optimally scheduling the charging demand of electric vehicles within the constraints of the electricity infrastructure is called the charge scheduling problem. The models of the charging speed, horizon, and charging demand determine the computational complexity of the charge scheduling problem. For about 20 variants, we show, using a dynamic programming approach, that the problem is either in P or weakly NP-hard. We also show that about 10 variants of the problem are strongly NP-hard, presenting a potentially significant obstacle to their use in practical situations of scale.
Effect of Dissolved Oxygen Content on Photocatalytic Performance of Graphene Oxide
Creators: name: Azim, M. Bakhtiar
name: Nargis, Farzana
name: Dhar, Sajib Aninda
name: Qadir, Md. Rakibul
name: Gafur, Md. Abdul
name: Kurny, A. S. W
name: Gulshan, Fahmida
Publisher: name: arXiv
Year: 2018
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Graphene, a two-dimensional (2D) promising emergent photocatalyst consisting of earth-abundant elements. This study evaluated the potential of graphene oxide (GO) towards photocatalytic degradation of a novel organic dye, Methylene Blue (MB). In this work, photocatalytic activity of graphene oxide (GO), graphene oxide (GO) along with hydrogen peroxide (H2O2) were tested by photodegrading Methylene Blue (MB) in aqueous solution. The resulted GO nanoparticles were characterized by X-ray powder diffraction, Scanning Electron Microscopy, Energy Dispersive Spectroscopy and Fourier Transform Infrared Ray Spectroscopy. The XRD data confirms the sharp peak centered at 2Theta=10.44 degree corresponding to (002) reflection of GO. Based on our results, it was found that the resulted GO nanoparticles along with H2O2 achieved ~92% photodecolorization of MB compared to ~63% for H2O2 under natural sunlight irradiation at pH~7 in 60 min. The influences of oxygen and hydrogen peroxide (H2O2) on the degradation of MB during sunlight/GO process were investigated. Experimental results indicated that oxygen was a determining parameter for promoting the photocatalytic degradation. The rate constant of degradation (k1) increased from 0.019 to 0.042 per minute for dissolved oxygen content (DOC) 3.5 mg/L when direct photocatalysis (MB/GO) and H2O2-assisted photocatalysis (MB/H2O2/GO) were used. Owing to the fact that H2O2 acted as an electron and hydroxyl radicals scavenger, the addition of H2O2 should in a proper dosage to enhance the degradation of MB. Moreover, as the initial concentration of dissolved oxygen (DO) was increased from 2.8 to 3.9 mg/L, the rate constant of degradation (k1) increased from 0.035 to 0.062 per minute. The mechanism of photodegradation and kinetics were also studied for both direct photocatalysis and H2O2-assisted photocatalysis.
description: In total 22 pages, total no. of figures 8, total no. of tables 6. arXiv admin note: text overlap with arXiv:1806.06481
An Efficient Interlingua Translation System for Multi-lingual Document Production
Creators: name: Mitamura, Teruko
name: Nyberg, Eric
name: Carbonell, Jaime G.
Publisher: name: Carnegie Mellon University
Year: 2009
Subjects: subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences

description: Knowledge-based interlingual machine translation systems produce semantically accurate translations, but typically require massive knowledge acquisition. This paper describes KANT, a system that reduces this requirement to produce practical, scalable, and accurate KBMT applications. First, the set of requirements is discussed, then the full KANT architecture is illustrated, and finally results from a fully implemented prototype are presented.
Additional file 2 of High-parameter cytometry unmasks microglial cell spatio-temporal response kinetics in severe neuroinflammatory disease
Creators: name: Spiteri, Alanna G.
name: Terry, Rachel L.
name: Wishart, Claire L.
name: Ashhurst, Thomas M.
name: Campbell, Iain L.
name: Hofer, Markus J.
name: King, Nicholas J. C.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Additional file 2 Overlapping expression of 'infiltrating macrophage' markers on resident and infiltrating myeloid populations in WNV-infected brains. a-e Histograms and FACs plots showing the expression of CD44 (a), LFA1 (CD11a) (b), VLA4 (CD49d) (c), Ly6C (d) and CCR2 (e) on microglia from homeostatic (blue) and infected (green) brains relative to infiltrating microglia-like (orange) and Ly6Chi macrophages (dark pink) in WNV dpi 7 brains.
Perpetual cutoff method and discrete Ricci curvature bounds with exceptions
Creators: name: Münch, Florentin
Publisher: name: arXiv
Year: 2018
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics

description: One of the main obstacles regarding Barky Emery curvature on graphs is that the results require a global uniform lower curvature bounds where no exception sets are allowed. We overcome this obstacle by introducing the perpetual cutoff method. As applications, we prove gradient estimates only requiring curvature bounds on parts of the graph. Moreover, we sharply upper bound the distance to the exception set for graphs having uniformly positive Bakry-Emery curvature everywhere but on the exception set.
Cognitive sensor for granule quality
Creators: name: Rehrl, Jakob
name: Celikovic, Selma
name: Poms, Johannes
Publisher: name: Zenodo
Year: 2022
Subjects: Pharmaceutical Manufacturing
Industry 4.0
Cognitive sensor
Process Industry
Automation
Innovation
H2020
Process Analytical Technology (PAT)
Particle Size Distribution

description: Continuous wet granulation is a commonly used unit operation in secondary pharmaceutical manufacturing. Its purpose is the creation of granules of well-defined size distribution. As the granule size affects critical quality attributes, real-time monitoring is of the utmost importance, reducing defective end products. The development in CPS2 provides real-time measurements of the size distribution. This data is fed to a process control concept (CPC1), which selects optimal granulation settings.
description: https://www.capri-project.com
Additional file 3 of High-parameter cytometry unmasks microglial cell spatio-temporal response kinetics in severe neuroinflammatory disease
Creators: name: Spiteri, Alanna G.
name: Terry, Rachel L.
name: Wishart, Claire L.
name: Ashhurst, Thomas M.
name: Campbell, Iain L.
name: Hofer, Markus J.
name: King, Nicholas J. C.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Additional file 3 Microglia are easily identifiable in the homoeostatic brain. a-d Quality control gates, including time (a), single cells (b), non-debris (c) and live cell (d) gates were applied before analysing cells. Neutrophils were also excluded by their expression of Ly6G (e). f Gating strategy one identifies a ‘resting’ microglia population (CD45lo CD11b+) (R1: blue) and an ‘activated’ microglia population (CD45int CD11b+) (R2: red). h, j Gating strategy two, does not use ‘microglia-specific markers’ and identifies microglia as CX3CR1+ CD45lo-int CD11b+ Ly6C-/lo. Gating strategy three is a revised gating strategy which identifies microglia as CX3CR1+ CD45lo-int CD11b+ P2RY12+ Ly6C-/lo (h, I, l). n, o Gating strategy four uses a limited number of markers and identifies microglia as CD45lo-int P2RY12+CD11b+CX3CR1+. g, k, m, p ‘Microglia’ populations gated using strategies 1 (g), 2 (k), 3 (m), and 4 (p), overlaid onto a tSNE plot, clustered on live cells from mock-infected brains. q, r Number (q) and frequency (r) of ‘microglia’ gated using strategies 1-4. Data is presented as mean ± SEM, from two independent experiments with at least six mice per group. **P<0.0021, Kruskal-Wallis test and Dunn’s multiple comparisons test.
Practices Practices and Challenges of Corporate Social Responsibility in Dangote Cement Factory: Adaha Berga District, West Shoa Zone, Oromia Regional State
Creators: name: Asnake, Degaga Tesfaye
Publisher: name: Ethiopian Journal of Sciences and Sustainable Development
Year: 2019

description: Corporate social responsibility (CSR) is the way organizations integrate social, environmental and economic concerns in a transparent and accountable manner. Studies done in the past overstressed the financial aspect of corporate social responsibility and provided less attention to the environmental and social perspectives. The study was aimed to assess practices and challenges of CSR in Dangote cement factory of Ethiopia. Accordingly, it was intended to address issues pertaining to environmental protection, social services provision and challenges of its implementation. Respondents (employees, FGD discussants and KII) were selected using a simple random, convenience and purposive sampling techniques respectively. Questionnaires, key informant interviews and focus group discussion guide were used to collect data. While the quantitative data were analyzed using descriptive statistics (frequency and percentage) and presented using tables, qualitative data were thematically organized, transcribed and descriptive account of respondents were quoted. With regard to environmental protection, the findings of the study revealed that ‘fog of dust’ which was not emitted from the plant during normal cement production however, covered all over the area during transportation. Large number of vehicles and workers continuously flowed to the vicinity of the cement factory also overcrowded the local environment which increased the volume of wastes. Concerning employment, though the company created employment opportunities for the local community, most of the employment opportunities were found to be low-profile and less attractive. Furthermore, the findings indicated that lack of commitment on the part of the factory’s top management and over-ambitious expectations on the side of the local community were the major challenges to implement corporate social responsibility. Generally, the company owners, management bodies and the government need to work jointly in order to properly implement corporate social responsibility.
description: Ethiopian Journal of Sciences and Sustainable Development, Vol 6 No 2 (2019): EJSSD
What is the impact of agricultural mulch films on terrestrial ecosystems?
Creators: name: Wolf, Carmen
name: Wenzel, Mike
name: Funck, Martin
name: Fischer, Björn
name: Nehren, Kristin
name: Bertling, Ralf
name: Duhme, Mona
name: Hennecke, Dieter
name: Weinfurtner, Karlheinz
name: Roß-Nickoll, Martina
name: Hollert, Henner
name: Weltmeyer, Antonia
name: Bitter, Kristina
name: Blank, Lars
name: Ruiz, Pauline
name: Dahl, Svenja
name: Asbach, Christof
name: Tuerk, Jochen
name: :Unav
Publisher: name: Fraunhofer-Gesellschaft
Year: 2021
Subjects: plastic
Microplastic
agriculture
Mulchfolie

description: The worldwide production of plastic increased during the last decades from 1.7 million t in 1950 to 335 million t in 2016 [1]. • Due to their high production volumes, their application and durability, they are becoming increasingly relevant for the environment. • It is assumed that soils can be a sink for (micro)plastics [2]. 5 mg mulch film 20 ml Water Conclusion Results Materials and Methods
Protostellar birth with ambipolar and ohmic diffusion
Creators: name: Vaytet, Neil
name: Commerçon, Benoît
name: Masson, Jacques
name: González, Matthias
name: Chabrier, Gilles
Publisher: name: arXiv
Year: 2018
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The transport of angular momentum is capital during the formation of low-mass stars; too little removal and rotation ensures stellar densities are never reached, too much and the absence of rotation means no protoplanetary disks can form. Magnetic diffusion is seen as a pathway to resolving this long-standing problem. We investigate the impact of including resistive MHD in simulations of the gravitational collapse of a 1 solar mass gas sphere, from molecular cloud densities to the formation of the protostellar seed; the second Larson core. We used the AMR code RAMSES to perform two 3D simulations of collapsing magnetised gas spheres, including self-gravity, radiative transfer, and a non-ideal gas equation of state to describe H2 dissociation which leads to the second collapse. The first run was carried out under the ideal MHD approximation, while ambipolar and ohmic diffusion was incorporated in the second calculation. In the ideal MHD simulation, the magnetic field dominates the energy budget everywhere inside and around the first core, fueling interchange instabilities and driving a low-velocity outflow. High magnetic braking removes essentially all angular momentum from the second core. On the other hand, ambipolar and ohmic diffusion create a barrier which prevents amplification of the magnetic field beyond 0.1 G in the first Larson core which is now fully thermally supported. A significant amount of rotation is preserved and a small Keplerian-like disk forms around the second core. When studying the radiative efficiency of the first and second core accretion shocks, we found that it can vary by several orders of magnitude over the 3D surface of the cores. Magnetic diffusion is a pre-requisite to star-formation; it enables the formation of protoplanetary disks in which planets will eventually form, and also plays a determinant role in the formation of the protostar itself.
description: 18 pages, 11 figures, accepted for publication in Astronomy & Astrophysics
Topology-based Representative Datasets to Reduce Neural Network Training Resources
Creators: name: Gonzalez-Diaz, Rocio
name: Gutiérrez-Naranjo, Miguel A.
name: Paluzo-Hidalgo, Eduardo
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: One of the main drawbacks of the practical use of neural networks is the long time required in the training process. Such a training process consists of an iterative change of parameters trying to minimize a loss function. These changes are driven by a dataset, which can be seen as a set of labelled points in an n-dimensional space. In this paper, we explore the concept of are representative dataset which is a dataset smaller than the original one, satisfying a nearness condition independent of isometric transformations. Representativeness is measured using persistence diagrams (a computational topology tool) due to its computational efficiency. We prove that the accuracy of the learning process of a neural network on a representative dataset is "similar" to the accuracy on the original dataset when the neural network architecture is a perceptron and the loss function is the mean squared error. These theoretical results accompanied by experimentation open a door to reducing the size of the dataset to gain time in the training process of any neural network.
The Dynamical Dipole Radiation in Dissipative Collisions with Exotic Beams
Creators: name: Di Toro, M.
name: Colonna, M.
name: Rizzo, C.
name: Baran, V.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Heavy Ion Collisions (HIC) represent a unique tool to probe the in-medium nuclear interaction in regions away from saturation. In this work we present a selection of reaction observables in dissipative collisions particularly sensitive to the isovector part of the interaction, i.e. to the symmetry term of the nuclear Equation of State (EoS). At low energies the behavior of the symmetry energy around saturation influences dissipation and fragment production mechanisms. We will first discuss the recently observed Dynamical Dipole Radiation, due to a collective neutron-proton oscillation during the charge equilibration in fusion and deep-inelastic collisions. We will review in detail all the main properties, yield, spectrum, damping and angular distributions, revealing important isospin effects. Reactions induced by unstable 132Sn beams appear to be very promising tools to test the sub-saturation Isovector EoS. Predictions are also presented for deep-inelastic and fragmentation collisions induced by neutron rich projectiles. The importance of studying violent collisions with radioactive beams at low and Fermi energies is finally stressed.
description: 10 pages, 6 figures, 14th Nuclear Physics Workshop, Kazimiers Dolny Sept. 07, Int.Jou.Modern Physics (2008) to appear
Additional file 4 of High-parameter cytometry unmasks microglial cell spatio-temporal response kinetics in severe neuroinflammatory disease
Creators: name: Spiteri, Alanna G.
name: Terry, Rachel L.
name: Wishart, Claire L.
name: Ashhurst, Thomas M.
name: Campbell, Iain L.
name: Hofer, Markus J.
name: King, Nicholas J. C.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Additional file 4 Gating strategy used to identify resident microglia and infiltrating myeloid and lymphoid populations in the inflamed brain.
eXplainMR: Generating Real-time Textual and Visual eXplanations to Facilitate UltraSonography Learning in MR
Creators: name: Wang, Jingying
name: Zhang, Jingjing
name: Capizzano, Juana Nicoll
name: Sigakis, Matthew
name: Wang, Xu
name: Popov, Vitaliy
Publisher: name: arXiv
Year: 2025
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: eXplainMR is a Mixed Reality tutoring system designed for basic cardiac surface ultrasound training. Trainees wear a head-mounted display (HMD) and hold a controller, mimicking a real ultrasound probe, while treating a desk surface as the patient's body for low-cost and anywhere training. eXplainMR engages trainees with troubleshooting questions and provides automated feedback through four key mechanisms: 1) subgoals that break down tasks into single-movement steps, 2) textual explanations comparing the current incorrect view with the target view, 3) real-time segmentation and annotation of ultrasound images for direct visualization, and 4) the 3D visual cues provide further explanations on the intersection between the slicing plane and anatomies.
Helical thermoelectrics and refrigeration
Creators: name: Mani, Arjun
name: Benjamin, Colin
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The thermoelectric properties of a three terminal quantum spin Hall (QSH) sample are examined. Inherent helicity of the QSH sample helps to generate a large charge power efficiently. Along with charge the system can be designed to work as a highly efficient spin heat engine too. The advantage of a helical over a chiral sample is that, while a multiterminal quantum Hall sample can only work as a quantum heat engine due to broken time reversal(TR) symmetry, a multiterminal QSH system can work effectively both as a charge/spin heat engine as well as a charge/spin refrigerator as TR symmetry is preserved.
description: 8 pages, 5 figures, accepted for publication in Phys. Rev. E
Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles
Creators: name: Simon, Dror
name: Farber, Miriam
name: Goldenberg, Roman
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: I.2.10; I.2.6

description: Auto-annotation by ensemble of models is an efficient method of learning on unlabeled data. Wrong or inaccurate annotations generated by the ensemble may lead to performance degradation of the trained model. To deal with this problem we propose filtering the auto-labeled data using a trained model that predicts the quality of the annotation from the degree of consensus between ensemble models. Using semantic segmentation as an example, we show the advantage of the proposed auto-annotation filtering over training on data contaminated with inaccurate labels.
 Moreover, our experimental results show that in the case of semantic segmentation, the performance of a state-of-the-art model can be achieved by training it with only a fraction (30$\%$) of the original manually labeled data set, and replacing the rest with the auto-annotated, quality filtered labels.
description: 10 pages, 1 figure, 5 tables
An Efficient Graph Representation for Arithmetic Circuit Verification
Creators: name: Yirng-An  Chen
name: Bryant, Randal E.
Publisher: name: Carnegie Mellon University
Year: 1981
Subjects: subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences

description: In this paper, we propose a new data structure called multiplicative power hybrid decision diagrams (*PHDDs) to provide a compact representation for functions that map Boolean vectors into integer or floating-point (FP) values. The size of the graph to represent the IEEE FP encoding is linear with the word size. The complexity of FP multiplication grows linearly with the word size. The complexity of FP addition grows exponentially with the size of the exponent part, but linearly with the size of the mantissa part. We applied *PHDDs to verify integer multipliers and FP multipliers before the rounding stage, based on a hierarchical verification approach. For integer multipliers, our results are at least six times faster than binary moment diagrams. Previous attempts at verifying FP multipliers required manual intervention, but we verified FP multipliers before the rounding stage automatically
Additional file 5 of High-parameter cytometry unmasks microglial cell spatio-temporal response kinetics in severe neuroinflammatory disease
Creators: name: Spiteri, Alanna G.
name: Terry, Rachel L.
name: Wishart, Claire L.
name: Ashhurst, Thomas M.
name: Campbell, Iain L.
name: Hofer, Markus J.
name: King, Nicholas J. C.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Additional file 5 Immune profiles of resident microglia and infiltrating myeloid cells in WNE at dpi 7.
Stochastic maximum principle for problems with delay with general dependence on the past
Creators: name: Guatteri, Giuseppina
name: Masiero, Federica
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 60H10, 93E20

description: We prove a stochastic maximum principle for a control problem where the state equation is delayed both in the state and in the control, and also the final cost functional may depend on the past trajectories. The adjoint equations turn out to be a new form of linear anticipated backward stochastic differential equations (ABSDEs in the following), and we prove a direct formula to solve these equations.
description: Updated version, we have fixed some typos, the differences are in blu
Nematic director fields and topographies of shells of revolution
Creators: name: Warner, Mark
name: Mostajeran, Cyrus
Publisher: name: arXiv
Year: 2017
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We solve the forward and inverse problems associated with the transformation of flat sheets to surfaces of revolution with non-trivial topography, including Gaussian curvature, without a stretch elastic cost. We deal with systems slender enough to have a small bend energy cost. Shape change is induced by light or heat causing contraction along a non-uniform director field in the plane of an initially flat nematic sheet. The forward problem is, given a director distribution, what shape is induced? Along the way, we determine the Gaussian curvature and the evolution with induced mechanical deformation of the director field and of material curves in the surface (proto-radii) that will become radii in the final surface. The inverse problem is, given a target shape, what director field does one need to specify? Analytic examples of director fields are fully calculated that will, for specific deformations, yield catenoids and paraboloids of revolution. The general prescription is given in terms of an integral equation.
Normal black holes in bulge-less galaxies: the largely quiescent, merger-free growth of black holes over cosmic time
Creators: name: Martin, G.
name: Kaviraj, S.
name: Volonteri, M.
name: Simmons, B. D.
name: Devriendt, J. E. G.
name: Lintott, C. J.
name: Smethurst, R. J.
name: Dubois, Y.
name: Pichon, C.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Understanding the processes that drive the formation of black holes (BHs) is a key topic in observational cosmology. While the observed $M_{\mathrm{BH}}$--$M_{\mathrm{Bulge}}$ correlation in bulge-dominated galaxies is thought to be produced by major mergers, the existence of a $M_{\mathrm{BH}}$--$M_{\star}$ relation, across all galaxy morphological types, suggests that BHs may be largely built by secular processes. Recent evidence that bulge-less galaxies, which are unlikely to have had significant mergers, are offset from the $M_{\mathrm{BH}}$--$M_{\mathrm{Bulge}}$ relation, but lie on the $M_{\mathrm{BH}}$--$M_{\star}$ relation, has strengthened this hypothesis. Nevertheless, the small size and heterogeneity of current datasets, coupled with the difficulty in measuring precise BH masses, makes it challenging to address this issue using empirical studies alone. Here, we use Horizon-AGN, a cosmological hydrodynamical simulation to probe the role of mergers in BH growth over cosmic time. We show that (1) as suggested by observations, simulated bulge-less galaxies lie offset from the main $M_{\mathrm{BH}}$--$M_{\mathrm{Bulge}}$ relation, but on the $M_{\mathrm{BH}}$--$M_{\star}$ relation, (2) the positions of galaxies on the $M_{\mathrm{BH}}$--$M_{\star}$ relation are not affected by their merger histories and (3) only $\sim$35 per cent of the BH mass in today's massive galaxies is directly attributable to merging -- the majority ($\sim$65 per cent) of BH growth, therefore, takes place gradually, via secular processes, over cosmic time.
description: 12 pages, 9 figures, accepted for publication in MNRAS
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions
Creators: name: Glüsenkamp, Thorsten
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: High Energy Physics - Experiment (hep-ex)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Neural-network based predictions of event properties in astro-particle physics are getting more and more common. However, in many cases the result is just utilized as a point prediction. Statistical uncertainties, coverage, systematic uncertainties or a goodness-of-fit measure are often not calculated. Here we describe a certain choice of training and network architecture that allows to incorporate all these properties into a single network model. We show that a KL-divergence objective of the joint distribution of data and labels allows to unify supervised learning and variational autoencoders (VAEs) under one umbrella of stochastic variational inference. The unification motivates an extended supervised learning scheme which allows to calculate a goodness-of-fit p-value for the neural network model. Conditional normalizing flows amortized with a neural network are crucial in this construction. We discuss how to calculate coverage probabilities without numerical integration for specific "base-ordered" contours that are unique to normalizing flows. Furthermore we show how systematic uncertainties can be included via effective marginalization during training. The proposed extended supervised training incorporates (1) coverage calculation, (2) systematics and (3) a goodness-of-fit measure in a single machine-learning model. There are in principle no constraints on the shape of the involved distributions, in fact the machinery works with complex multi-modal distributions defined on product spaces like $\mathbb{R}^n \times \mathbb{S}^m$. The coverage calculation, however, requires care in its interpretation when the distributions are too degenerate. We see great potential for exploiting this per-event information in event selections or for fast astronomical alerts which require uncertainty guarantees.
Cognitive sensor for blend uniformity
Creators: name: Rehrl, Jakob
name: Celikovic, Selma
name: Poms, Johannes
Publisher: name: Zenodo
Year: 2022
Subjects: Pharmaceutical Manufacturing
Industry 4.0
Cognitive Sensor
Automation
Process Industry
Innovation
H2020
Process Analytical Technology (PAT)
Raman

description: Continuous manufacturing of pharmaceutical oral dosage forms, like tablets, requires the implementation of appropriate quality control concepts. The real-time monitoring of critical quality attributes is an essential component of a quality control concept. The CPS1 solution supports prediction of the concentration of active pharmaceutical ingredients (API) in the material stream during manufacturing, using Raman spectroscopy. The availability of that information enables the development of sophisticated quality control concepts, ultimately reducing waste material and improving product quality.
description: https://www.capri-project.com
Mutual information-assisted Adaptive Variational Quantum Eigensolver
Creators: name: Zhang, Zi-Jian
name: Kyaw, Thi Ha
name: Kottmann, Jakob S.
name: Degroote, Matthias
name: Aspuru-Guzik, Alán
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Adaptive construction of ansatz circuits offers a promising route towards applicable variational quantum eigensolvers on near-term quantum hardware. Those algorithms aim to build up optimal circuits for a certain problem and ansatz circuits are adaptively constructed by selecting and adding entanglers from a predefined pool. In this work, we propose a way to construct entangler pools with reduced size by leveraging classical algorithms. Our method uses mutual information between the qubits in classically approximated ground state to rank and screen the entanglers. The density matrix renormalization group method is employed for classical precomputation in this work. We corroborate our method numerically on small molecules. Our numerical experiments show that a reduced entangler pool with a small portion of the original entangler pool can achieve same numerical accuracy. We believe that our method paves a new way for adaptive construction of ansatz circuits for variational quantum algorithms.
description: 10 pages, 13 figures
Conic-sector-based analysis and control synthesis for linear parameter varying systems
Creators: name: Sivaranjani, S
name: Forbes, James Richard
name: Seiler, Peter
name: Gupta, Vijay
Publisher: name: arXiv
Year: 2017
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 conic sector theorem for linear parameter varying (LPV) systems in which the traditional definition of conicity is violated for certain values of the parameter. We show that such LPV systems can be defined to be conic in an average sense if the parameter trajectories are restricted so that the system operates with such values of the parameter sufficiently rarely. We then show that such an average definition of conicity is useful in analyzing the stability of the system when it is connected in feedback with a conic system with appropriate conic properties. This can be regarded as an extension of the classical conic sector theorem. Based on this modified conic sector theorem, we design conic controllers that allow the closed-loop system to operate in nonconic parameter regions for brief periods of time. Due to this extra degree of freedom, these controllers lead to less conservative performance than traditional designs, in which the controller parameters are chosen based on the largest cone that the plant dynamics are contained in. We demonstrate the effectiveness of the proposed design in stabilizing a power grid with very high penetration of renewable energy while minimizing power transmission losses.
description: 7 pages, 2 columns
Additional file 6 of High-parameter cytometry unmasks microglial cell spatio-temporal response kinetics in severe neuroinflammatory disease
Creators: name: Spiteri, Alanna G.
name: Terry, Rachel L.
name: Wishart, Claire L.
name: Ashhurst, Thomas M.
name: Campbell, Iain L.
name: Hofer, Markus J.
name: King, Nicholas J. C.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Additional file 6 TMEM119 and CD44 are masked by collagenase and DNase brain digestion. a-f tSNE plot clustered on myeloid cells from mock-infected and WNV dpi 7 brains digested with and without collagenase/DNase. tSNE plot representing enzyme and non-enzyme digested brain cells from mock- (a) and WNV-infected (b) animals clustered on live, CD11b+ and CD45+ cells. Annotation of myeloid cells on tSNE plots representing mock-infected (c, e) and WNV-infected brains (d, f) with (c, d) and without (e, f) enzyme digestion. g-l Histograms showing the loss of TMEM119 on microglia in mock-infected brains (g) and CD44 on infiltrating Ly6Chi macrophages and neutrophils in WNV-infected (j), enzyme-digested brains. tSNE plots showing the reduced expression of TMEM119 (h, i) and CD44 (k, l) in collagenase and DNase processed (h, k), mock-infected (h) and WNV-infected (k) brains, respectively. Data is representative of at least two independent experiments, with a minimum 6 animals per group.
Supporting information of Synthesis and Pharmacological Characterization of Glucopyranosyl-conjugated Benzyl Derivatives as Novel Selective Cytotoxic Agents for Colon Cancer
Creators: name: Fu, Boqiao
name: Li, Yingjie
name: Peng, Shaoyong
name: Wang, Xiaolin
name: Hu, Jingying
name: Lv, Long
name: Xia, Caifen
name: Lu, Dai
name: Caiqin, Qin
Publisher: name: The Royal Society
Year: 2021

description: NMR and HR-MS of compounds
Low-depth Hamiltonian Simulation by Adaptive Product Formula
Creators: name: Zhang, Zi-Jian
name: Sun, Jinzhao
name: Yuan, Xiao
name: Yung, Man-Hong
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Various Hamiltonian simulation algorithms have been proposed to efficiently study the dynamics of quantum systems on a quantum computer. The existing algorithms generally approximate the time evolution operators, which may need a deep quantum circuit that is beyond the capability of near-term noisy quantum devices. Here, focusing on the time evolution of a fixed input quantum state, we propose an adaptive approach to construct a low-depth time evolution circuit. By introducing a measurable quantifier that characterizes the simulation error, we use an adaptive strategy to learn the shallow quantum circuit that minimizes that error. We numerically test the adaptive method with electronic Hamiltonians of the $\mathrm{H_2O}$ and $\mathrm{H_4}$ molecules, and the transverse field Ising model with random coefficients. Compared to the first-order Suzuki-Trotter product formula, our method can significantly reduce the circuit depth (specifically the number of two-qubit gates) by around two orders while maintaining the simulation accuracy. We show applications of the method in simulating many-body dynamics and solving energy spectra with the quantum Krylov algorithm. Our work sheds light on practical Hamiltonian simulation with noisy-intermediate-scale-quantum devices.
description: 23 pages, 2 figures