cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Контроль скоростей вращения шпинделей хлопкоуборочной машины измерением частоты датчика
Creators: name: Улжаев, Э.У.
name: Убайдулаев, У.М.
Publisher: name: Tashkent State Technical University Named after Islam Karimov
Year: 2018

description: Рассмотрен вопрос проведения измерения скоростей вращения шпинделей хлопкоуборочной машины применением метода подсчета количества наблюдаемых импульсов внутри заданного временного интервала с постоянной шириной. Проведен расчет погрешности квантования при изменении скорости вращения. Установлено, что относительная погрешность выбранного метода контроля является функцией самой скорости вращения. Проведен расчет погрешности и на графическом виде показаны результаты модулирования скоростей вращения на различных частотах вращения шпинделей. Установлено, что в областях средних и высших частотах вращения погрешность квантования находится в приемлемой области, а при низкой скорости вращения амплитуда погрешности становится выше допустимого значения.
Path Based Mapping Technique for Robots
Creators: name: Dhawan, Amiraj
name: Oak, Parag
name: Mishra, Rahul
name: Puthanpurackal, George
Publisher: name: arXiv
Year: 2013
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: The purpose of this paper is to explore a new way of autonomous mapping. Current systems using perception techniques like LAZER or SONAR use probabilistic methods and have a drawback of allowing considerable uncertainty in the mapping process. Our approach is to break down the environment, specifically indoor, into reachable areas and objects, separated by boundaries, and identifying their shape, to render various navigable paths around them. This is a novel method to do away with uncertainties, as far as possible, at the cost of temporal efficiency. Also this system demands only minimum and cheap hardware, as it relies on only Infra-Red sensors to do the job.
A hidden reservoir of Fe/FeS in interstellar silicates?
Creators: name: Köhler, M.
name: Jones, A.
name: Ysard, N.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The depletion of iron and sulphur into dust in the interstellar medium and the exact nature of interstellar amorphous silicate grains is still an open question. We study the incorporation of iron and sulphur into amorphous silicates of olivine- and pyroxene-type and their effects on the dust spectroscopy and thermal emission. We used the Maxwell-Garnett effective-medium theory to construct the optical constants for a mixture of silicates, metallic iron, and iron sulphide. We also studied the effects of iron and iron sulphide in aggregate grains. Iron sulphide inclusions within amorphous silicates that contain iron metal inclusions shows no strong differences in the optical properties of the grains. A mix of amorphous olivine- and pyroxene-type silicate broadens the silicate features. An amorphous carbon mantle with a thickness of 10 nm on the silicate grains leads to an increase in absorption on the short-wavelength side of the 10 $μ$m silicate band. The assumption of amorphous olivine-type and pyroxene-type silicates and a 10 nm thick amorphous carbon mantle better matches the interstellar silicate band profiles. Including iron nano-particles leads to an increase in the mid-IR extinction, while up to 5 ppm of sulphur can be incorporated as Fe/FeS nano inclusions into silicate grains without leaving a significant trace of its presence.
Hadron form factors and large-Nc phenomenology
Creators: name: Masjuan, Pere
name: Arriola, Enrique Ruiz
name: Broniowski, Wojciech
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The half width rule provides a way to consider 1/Nc corrections to hadronic models containing resonances. Consequences of such ideas for hadron form factors and Regge trajectories are explored, with special emphasis on the possibility to describe the spectrum of light and heavy unflavored vector mesons in a universal way.
description: Contribution by P.M to the 13th International Conference on Meson-Nucleon Physics and the Structure of the Nucleon (MENU 2013), Rome, Italy, 30 September - October 4, 2013. 4 pages, 4 figures
title: Magnificent intimacy: a relationship of style in contemporary Hollywood cinema
Creators: name: Peacock, Steven John
Publisher: name: University of Kent
Year: 2022

description: Economically and aesthetically, the grand scale of contemporary Hollywood cinema is often considered in pejorative terms. The weighty influence of the system and the inflated style of its films are subjects of censure. Concentrating on a relationship of style, this thesis sees the grand designs of contemporary Hollywood as constituting a possibility for the period. Four films of grand conception are shown to shape their designs, in measures of magnitude and exactitude, to convey expressions of human closeness. The films under consideration are: The Age of Innocence (Scorsese, 1993), The Bridges of Madison County (Eastwood, 1995), The Insider (Mann, 1999) and The Straight Story (Lynch, 1999). The relationship between ‘big’ and ‘little’ concerns is explored in the films through their handling of points of style: in patterns, arrangements, concentrations of detail, and measures of refinement and integration. In large-scale compositions, the films bring out the intricacies and intimacies of their characters’ relationships to their environment and each other. In a series of close readings, the thesis considers the films’ handling of particular elements of style, as components of their ‘big architecture’: location and landscape, performance and gesture, dialogue, music, editing and camerawork. As Film Studies predominantly considers contemporary Hollywood film from different perspectives - historically, socio-economically, in a cultural context - the thesis offers another way of understanding and appreciating works of the current period. Equally, the thesis redirects the principles of evaluative criticism, in adopting an approach of‘close analysis’ that is normally applied to classical Hollywood. A concentration on intimate expressions realized in an environment of amplitude allows for the consideration of an overlooked achievement of contemporary Hollywood. In discerning the different ways the films achieve their expressions, in making precise discriminations of the detail of moments in film, the thesis extends the vocabulary of sustained criticism on contemporary Hollywood cinema.
Human Contrast Threshold and Astronomical Visibility
Creators: name: Crumey, Andrew
Publisher: name: arXiv
Year: 2014
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: The standard visibility model in light pollution studies is the formula of Hecht (1947), as used e.g. by Schaefer (1990). However it is applicable only to point sources and is shown to be of limited accuracy. A new visibility model is presented for uniform achromatic targets of any size against background luminances ranging from zero to full daylight, produced by a systematic procedure applicable to any appropriate data set (e.g Blackwell (1946)), and based on a simple but previously unrecognized empirical relation between contrast threshold and adaptation luminance. The scotopic luminance correction for variable spectral radiance (colour index) is calculated. For point sources the model is more accurate than Hecht's formula and is verified using telescopic data collected at Mount Wilson by Bowen (1947), enabling the sky brightness at that time to be determined. The result is darker than the calculation by Garstang (2004), implying that light pollution grew more rapidly in subsequent decades than has been supposed. The model is applied to the nebular observations of William Herschel, enabling his visual performance to be quantified. Proposals are made regarding sky quality indicators for public use.
description: 21 pages, 18 figures, 1 table. Accepted in MNRAS
Evidence of variation of the accretion flow geometry in GRS 1915+105 from IXAE and RXTE data
Creators: name: Pal, Partha Sarathi
name: Chakrabarti, Sandip K.
name: Nandi, Anuj
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The Galactic microquasar GRS 1915+105 exhibits various types of light curves. There is, however, no understanding of when a certain type of light curve will be exhibited and only in a handful of cases, the transitions from one type to another have actually been observed. We study the detailed spectral properties in these cases to show that that different classes have different ratio of the power-law photon and the blackbody photon. Since the power-law photons are from the Compton cloud, and the intensity of the power-law photon component depends on the degree of interception of the soft photons by the Compton cloud, we conclude that not only the accretion rate, but the accretion flow geometry must also change during a class transition.
description: 9 pages, 3 figures
title: Теоретическое исследование и компьютерное моделирование составных транзисторов, изготовленных из полупроводникового материала с разной шириной запрещенной зоны
Creators: name: Алимова, Н.Б.
name: Ярмухамедов, А.А.
Publisher: name: Tashkent State Technical University Named after Islam Karimov
Year: 2018

description: Приведены результаты исследования и компьютерного моделирования составных транзисторов, изготовленных из полупроводникового материала с разной шириной запрещенной зоны. Для исследования вольт — амперных характеристик составных транзисторов разработана диалоговая компьютерная моделирующая программа в среде программирования Dеlphi-6. Показано, что предлагаемые транзисторы позволяют повысить технологичность при его промышленном изготовлении. Предложенные транзисторы предназначены для выходных каскадов усилителей мощности, радиопередающих устройств, электронного оборудования промышленной и автомобильной электроники.
MONDified Gravity
Creators: name: Bojowald, Martin
name: Duque, Erick I.
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: A new class of modified gravity theories, made possible by subtle features of the canonical formulation of general covariance, naturally allows MOND-like behavior (MOdified Newtonian Dynamics) in effective space-time solutions without introducing new fields. A detailed analysis reveals a relationship with various quantum-gravity features, in particular in canonical approaches, and shows several properties of potential observational relevance. A fundamental origin of MOND and a corresponding solution to the dark-matter problem are therefore possible and testable.
description: 11 pages
Additional file 1 of Adsorption therapy in critically ill with septic shock and acute kidney injury: a retrospective and prospective cohort study
Creators: name: Schittek, Gregor A.
name: Zoidl, Philipp
name: Eichinger, Michael
name: Orlob, Simon
name: Simonis, Holger
name: Rief, Martin
name: Metnitz, Philipp
name: Fellinger, Tobias
name: Soukup, Jens
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy

description: Additional file 1: Table S1. Logistic regression on mortality and Fine & Gray Model on LOS. The logistic regression model with ICU mortality and hospital mortality respectively were fitted with the covariates "haemoadsorption", "APACHE II", "PCT prior to CVVHDF", "CRP prior to CVVHDF " and "catecholamine dosage before initiation of CVVHDF".. The coefficient for haemoadsorption was not significant in neither of those models. A Fine and Gray model for the subdistribution hazard ratio of the event of alive discharge from ICU in presence of the competing event of death in the ICU was fitted with the same covariates as the logistic regression models. None of the covariates showed a significant influence.
Sensitivity limits of a Raman atom interferometer as a gravity gradiometer
Creators: name: Sorrentino, F.
name: Bodart, Q.
name: Cacciapuoti, L.
name: Lien, Y. -H.
name: Prevedelli, M.
name: Rosi, G.
name: Salvi, L.
name: Tino, G. M.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Physics (quant-ph)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We evaluate the sensitivity of a dual cloud atom interferometer to the measurement of vertical gravity gradient. We study the influence of most relevant experimental parameters on noise and long-term drifts. Results are also applied to the case of doubly differential measurements of the gravitational signal from local source masses. We achieve a short term sensitivity of 3*10^(-9) g/Hz^(-1/2) to differential gravity acceleration, limited by the quantum projection noise of the instrument. Active control of the most critical parameters allows to reach a resolution of 5*10^(-11) g after 8000 s on the measurement of differential gravity acceleration. The long term stability is compatible with a measurement of the gravitational constant G at the level of 10^(-4) after an integration time of about 100 hours.
description: 19 pages, 20 figures
Solving a Class of Cut-Generating Linear Programs via Machine Learning
Creators: name: Rajabalizadeh, Atefeh
name: Davarnia, Danial
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optimization and Control (math.OC)
subject: Machine Learning (cs.LG)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: Cut-generating linear programs (CGLPs) play a key role as a separation oracle to produce valid inequalities for the feasible region of mixed-integer programs. When incorporated inside branch-and-bound, the cutting planes obtained from CGLPs help to tighten relaxations and improve dual bounds. However, running the CGLPs at the nodes of the branch-and-bound tree is computationally cumbersome due to the large number of node candidates and the lack of a priori knowledge on which nodes admit useful cutting planes. As a result, CGLPs are often avoided at default settings of branch-and-cut algorithms despite their potential impact on improving dual bounds. In this paper, we propose a novel framework based on machine learning to approximate the optimal value of a CGLP class that determines whether a cutting plane can be generated at a node of the branch-and-bound tree. Translating the CGLP as an indicator function of the objective function vector, we show that it can be approximated through conventional data classification techniques. We provide a systematic procedure to efficiently generate training data sets for the corresponding classification problem based on the CGLP structure. We conduct computational experiments on benchmark instances using classification methods such as logistic regression. These results suggest that the approximate CGLP obtained from classification can improve the solution time compared to that of conventional cutting plane methods. Our proposed framework can be efficiently applied to a large number of nodes in the branch-and-bound tree to identify the best candidates for adding a cut.
Data for all: Data literacy lessons from a mini-course on data inclusivity and accessibility
Creators: name: Nieman, Christine
name: Peace Ossom-Williamson
name: Roth, Elizabeth
name: Bramble, John
Publisher: name: Zenodo
Year: 2023

description: Intertwining data literacy with inclusion and accessibility is critical to support increasing diversity in research. How data is collected, analyzed, and visualized is impacted by societal biases, which consciously (or unconsciously) create barriers to research learning and engagement by individuals with disabilities. This presentation will share the experience developing and facilitating a synchronous, online four-part mini-course designed to advance and increase the use of inclusive and accessible practices in producing and making use of health data. Featuring experts in intersections of DEIA and data governance, global informatics, and data visualization, the program provided guidance and practical applications for incorporating accessibility and inclusivity in data-based research. Topics covered in the course included inclusive data governance, particularly of Indigenous data, global data inclusivity, research data accessibility, and making data reporting and visualizations accessible to individuals with disabilities.

 This presentation will include responses and feedback from both students and instructors suggesting next steps to bring accessibility principles and practices into data literacy instruction. Actionable items from the course will be synthesized and shared to go beyond raising awareness and complying with standards. The presentation will identify common best practices and the different needs and accommodations that contribute to a cultural shift in global inclusivity and universal accessibility.
МУЗЫКА И ПСИХОЛОГИЯ ЧЕЛОВЕКА
Creators: name: Маманазарова, Сарвиноз
Publisher: name: Zenodo
Year: 2024

description: Эта статья о влиянии музыки на сознание человека и о музыке в психологии человека. насколько это важно. При этом статья человечная концепции психологии и связанные с музыкой и медиумом что великие мыслители Востока изучали психологию музыки еще в веках информация будет предоставлена.
Preparing SPEX for the next generation of high-resolution spectrometers
Creators: name: de Plaa, Jelle
Publisher: name: Zenodo
Year: 2023
Subjects: Software
X-ray
Astronomy
Astrophysics
Spectroscopy

description: SPEX is a spectral fitting package optimised for high-resolution spectroscopy. It has been developed since the 1990’s and was based on the popular MEKAL code. In the last decade, we expanded the atomic database, added new models and improved the user experience. A new 3D model for clusters of galaxies and a time-dependent non-equilibrium photo-ionisation model are two of the most recent additions. Like most of the SPEX models, the software provides several output options for plasma parameters like, for example, ionisation balance, transition rates, and line lists, which enables advanced interpretation of the plasma properties. A Python interface is added, allowing users to control and get data from a SPEX session, which makes scripting much easier. This year, we expect to release SPEX version 4. This version will have a modular setup with documented libraries, enabling the integration of SPEX in other software. With the upcoming launch of XRISM, we will have a very capable spectral fitting tool to interpret the upcoming high-quality spectra from Resolve, but also the existing high-resolution grating spectra of XMM-Newton and Chandra.
title: Auswirkungen der Pandemie auf das Schulfach Deutsch an weiterführenden Schulen
title: Erste Ergebnisse der Corona-D-Studie
titleType: Subtitle
Creators: name: Rödel, Michael
name: Hüttemann, Maurice
name: Lorenz, Lisa
name: Hirn, Selina
Publisher: name: Universitätsbibliothek der Ludwig-Maximilians-Universität München
Year: 2022

description: In der öffentlichen Wahrnehmung war die Aussetzung des Präsenzunterrichts die für die Schulen einschneidendste Maßnahme im Zuge der Corona-Pandemie. Flankierende Maßnahmen und Effekte haben die Schulpraxis jedoch weit darüber hinaus betroffen, zum Beispiel gehäufte Quarantänefälle, veränderte Kommunikationsbedingungen (durch Maskenpflicht und Abstandsgebote) oder Stoffkürzungen. Die Studie Corona-D erforscht Auswirkungen der Pandemie auf den gesamten Deutschunterricht, konkret bezüglich der Digitalität, der Kompetenzentwicklung und der Situation der Unterrichtenden. Die ersten zentralen Ergebnisse, die wir in diesem Paper vorstellen, basieren auf einer Online-Befragung von 947 Deutsch-Lehrkräften in der Bundesrepublik. Auffällig ist, dass die Befragten die Entwicklung der Schreibfähigkeiten als besonders kritisch wahrnehmen. Zudem wird deutlich, dass sich die Lehrkräfte seit Pandemiebeginn stark belastet fühlen − bei einer gleichzeitig festzustellenden grundsätzlichen Zufriedenheit mit ihrer Situation als Lehrende im Fach Deutsch.
Advancing cross-domain data integration for global development - Learnings from the WorldFAIR project
Creators: name: Hodson, Simon
name: McEachern, Steve
name: Arofan Gregory
name: Li, Ran
Publisher: name: Zenodo
Year: 2023

description: Many research disciplines, including social sciences, have strong traditions of sharing and integrating data within their discipline, to address complex, multifaceted research and policy questions. This integration however becomes more challenging however when there is a need for coordination across research domains - data, semantics, computation and research methods vary widely, making shared understanding between researchers difficult to achieve, particularly in the short term. The problem becomes even more challenging when machine-to-machine interoperability is required - humans are able to manage uncertainty far more readily than machines.

 To this end, recent ongoing efforts by CODATA, the Committee on Data of the International Science Council, have focussed on addressing these cross-domain challenges through the initiative "Making Data Work for Cross-Domain Grand Challenges". As part of this program, CODATA, the Research Data Alliance and international partners across 11 different research domains have come together through the EU-funded WorldFAIR project to understand and progress cross-domain interoperability. The project aims to join up disconnected initiatives on data management, data stewardship, and FAIR data practices, within and across disciplines and internationally, by utilising eleven case studies of FAIR data management practices within and between domains.

 This panel will present the first findings from three of these domain case studies, in social science and related domains of population health and urban health. Panellists from each of the case studies will present an overview of the first outputs of the project, studying current FAIR practices in each domain, and recommendations for future practice. The panel will then conclude with an introduction to the Cross-Domain Interoperability Framework - the key cross-domain output of the WorldFAIR project, which aims to establish key principles for a shared domain-agnostic framework for machine-to-machine interoperability across the research community as a whole.
title: Регуляризованные алгоритмы адаптивного оценивания состояния объектов управления с учетом параметрических возмущений
Creators: name: Игамбердиев, Х.З.
name: Кодиров, Д.Т.
Publisher: name: Tashkent State Technical University Named after Islam Karimov
Year: 2018

description: Рассматриваются вопросы построения устойчивых алгоритмов адаптивного оценивания состояния объектов управления с учетом параметрических возмущений на основе теории условно-гауссовской фильтрации. Приводятся алгоритмы оценивания состояния стохастических управляемых объектов с использованиям регуляризованного метода Холецкого факторизации и псевдообращения возмущенных симметричных матриц. Приведенные алгоритмы позволяют стабилизировать процедуру обращения матриц при оценивании состояния стохастических объектов и тем самым повысить точность определения истинной оценки вектора состояния при возмущении параметров объекта и наблюдателя.
Axion Dark Matter with High-Scale Inflation
Creators: name: Chun, Eung Jin
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We show that supersymmetric axion models breaking the PQ symmetry by the interplay of non-renormalizable supersymmetric terms and soft supersymmetry breaking terms provide a natural framework not only for generating the axion scale from soft supersymmetry breaking scale $m_{3/2}$ but also for enhancing it during inflation by factor of order $\sqrt{H_I/m_{3/2}}$ where $H_I \simeq 10^{14}$ GeV according to the recent BICEP2 result. In this scheme, the PQ symmetry can stay broken throughout the whole history of the Universe if the reheat temperature is below $10^{10}$ GeV, or $m_{3/2}$ when the PQ fields couple strongly to thermal (Standard Model) particles. It is also shown that parametric resonance during preheating is not effective enough to induce non-thermal PQ symmetry restoration. As a consequence, axion models with the QCD anomaly $N_{DW}>1$ can be made free from the domain wall problem while the axion isocurvature perturbation is suppressed sufficiently for the axion scale during inflation larger than about $M_P (Ω_a h^2/0.12)^{1/2} ( F_a/10^{12} \mbox{GeV})^{0.6}$ GeV.
description: 5 pages
Derivation of isothermal quantum fluid equations with Fermi-Dirac and Bose-Einstein statistics
Creators: name: Barletti, Luigi
name: Cintolesi, Carlo
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: 76Y05, 82C10, 82D37

description: By using the quantum maximum entropy principle we formally derive, from a underlying kinetic description, isothermal (hydrodynamic and diffusive) quantum fluid equations for particles with Fermi-Dirac and Bose-Einstein statistics. A semiclassical expansion of the quantum fluid equations, up to O(h^2)-terms, leads to classical fluid equations with statistics-dependent quantum corrections, including a modified Bohm potential. The Maxwell-Boltzmann limit and the zero temperature limit are eventually discussed.
description: 36 pages
Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient ?
Creators: name: Bouniot, Quentin
name: Loesch, Angélique
name: Audigier, Romaric
name: Habrard, Amaury
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: For specialized and dense downstream tasks such as object detection, labeling data requires expertise and can be very expensive, making few-shot and semi-supervised models much more attractive alternatives. While in the few-shot setup we observe that transformer-based object detectors perform better than convolution-based two-stage models for a similar amount of parameters, they are not as effective when used with recent approaches in the semi-supervised setting. In this paper, we propose a semi-supervised method tailored for the current state-of-the-art object detector Deformable DETR in the few-annotation learning setup using a student-teacher architecture, which avoids relying on a sensitive post-processing of the pseudo-labels generated by the teacher model. We evaluate our method on the semi-supervised object detection benchmarks COCO and Pascal VOC, and it outperforms previous methods, especially when annotations are scarce. We believe that our contributions open new possibilities to adapt similar object detection methods in this setup as well.
description: Published at WACV 2023
Spin Squeezing of One-Axis Twisting Model in The Presence of Phase Dephasing
Creators: name: Ji, C. G.
name: Liu, Y. C.
name: Jin, G. R.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a detailed analysis of spin squeezing of the one-axis twisting model with a many-body phase dephasing, which is induced by external field fluctuation in a two-mode Bose-Einstein condensates. Even in the presence of the dephasing, our analytical results show that the optimal initial state corresponds to a coherent spin state $|θ_{0}, ϕ_0\rangle$ with the polar angle $θ_0=π/2$. If the dephasing rate $γ\ll S^{-1/3}$, where $S$ is total atomic spin, we find that the smallest value of squeezing parameter (i.e., the strongest squeezing) obeys the same scaling with the ideal one-axis twisting case, namely $ξ^2\propto S^{-2/3}$. While for a moderate dephasing, the achievable squeezing obeys the power rule $S^{-2/5}$, which is slightly worse than the ideal case. When the dephasing rate $γ>S^{1/2}$, we show that the squeezing is weak and neglectable.
description: 14.2pages, 3 figures
A Hamiltonian system of three degrees of freedom with eight channels of escape: The Great Escape
Creators: name: Zotos, Euaggelos E.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: In this work, we try to shed some light to the nature of orbits in a three-dimensional potential of a perturbed harmonic oscillator with eight possible channels of escape, which was chosen as an interesting example of open three-dimensional Hamiltonian systems. In particular, we conduct a thorough numerical investigation distinguishing between regular and chaotic orbits as well as between trapped and escaping orbits, considering unbounded motion for several values of the energy. In an attempt to discriminate safely and with certainty between ordered and chaotic motion, we use the Smaller ALingment Index (SALI) detector, computed by integrating numerically the basic equations of motion as well as the variational equations. Of particular interest, is to locate the basins of escape towards the different escape channels and connect them with the corresponding escape periods of the orbits. We split our study into three different cases depending on the initial value of the $z$ coordinate which was used for launching the test particles. We found, that when the orbits are started very close to the primary $(x,y)$ plane the respective grids exhibit a high degree of fractalization, while on the other hand for orbits with relatively high values of $z_0$ several well-formed basins of escape emerge thus, reducing significantly the fractalization of the grids. It was also observed, that for values of energy very close to the escape energy the escape times of orbits are large, while for energy levels much higher than the escape energy the vast majority of orbits escape extremely fast or even immediately to infinity. We hope our outcomes to be useful for a further understanding of the escape process in open 3D Hamiltonian systems.
description: Published in Nonlinear Dynamics (NODY) journal
The STATiX pipeline for the detection of X-ray transients in three dimensions
Creators: name: Ruiz, A.
name: Georgakakis, A.
name: Georgantopoulos, I.
name: Akylas, A.
name: Pierre, M.
name: Starck, J. L.
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The recent serendipitous discovery of a new population of short duration X-ray transients, thought to be associated with collisions of compact objects or stellar explosions in distant galaxies, has motivated efforts to build up statistical samples by mining X-ray telescope archives. Most searches to date however, do not fully exploit recent developments in the signal and imaging processing research domains to optimise searches for short X-ray flashes. This paper addresses this issue by presenting a new source detection pipeline, STATiX (Space and Time Algorithm for Transients in X-rays), which directly operates on 3-dimensional X-ray data cubes consisting of two spatial and one temporal dimension. The algorithm leverages wavelet transforms and the principles of sparsity to denoise X-ray observations and then detect source candidates on the denoised data cubes. The light curves of the detected sources are then characterised using the Bayesian blocks algorithm to identify flaring periods. We describe the implementation of STATiX in the case of XMM-Newton data, present extensive validation and performance verification tests based on simulations and also apply the pipeline to a small subset of seven XMM-Newton observations, which are known to contain transients sources. In addition to known flares in the selected fields we report a previously unknown short duration transient found by our algorithm that is likely associated with a flaring Galactic star. This discovery demonstrates the potential of applying STATiX to the full XMM-Newton archive.
description: 18 pages, accepted for publication in MNRAS
Data Management and Care
Creators: name: Negeen Aghassibake
Publisher: name: Zenodo
Year: 2023

description: Data management is a critical part of the research process and implements safeguards against ethical, financial, and security risks. In academic libraries and other research supporting organizations, managing human subjects data is often taught with a range of motivations to encourage staff and researchers: compliance with funder requirements, securing sensitive information, ethical obligations, and more.

 In this lightning talk, I will propose a reframing of the discussion around data management in academic libraries. Rather than promoting research data management as a tool to primarily benefit the researcher or the institution, I will propose that data management should instead be reframed as an act of care for the research participants who have contributed their time, energy, and information for the purpose of the researcher’s own goals, which ultimately benefit the institution. This is especially true for members of vulnerable and minoritized communities.

 Research data management tutorials and resources warn of the impact on researchers when they do not effectively manage the data that they collect and control. These warnings often focus on research, legal, and financial ramifications of poor data management practices. However, an often overlooked potential harm is the impact on the individuals who are part of the research data. Treating data management as an act of care is one approach to elevating the safety and security of the people behind the data points. This is distinct from the ethics of data management, which often distances the research subjects from the researchers by abstracting the real harms that can come from poor data management.

 This lightning talk will also propose questions for further discussion, a couple of which include: How do we move from compliance-based ethics frameworks to community-developed ethics frameworks? What role does aggregation play in both data invisibility and data management practices?
Split-NER: Named Entity Recognition via Two Question-Answering-based Classifications
Creators: name: Arora, Jatin
name: Park, Youngja
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: I.2.7; H.3.3

description: In this work, we address the NER problem by splitting it into two logical sub-tasks: (1) Span Detection which simply extracts entity mention spans irrespective of entity type; (2) Span Classification which classifies the spans into their entity types. Further, we formulate both sub-tasks as question-answering (QA) problems and produce two leaner models which can be optimized separately for each sub-task. Experiments with four cross-domain datasets demonstrate that this two-step approach is both effective and time efficient. Our system, SplitNER outperforms baselines on OntoNotes5.0, WNUT17 and a cybersecurity dataset and gives on-par performance on BioNLP13CG. In all cases, it achieves a significant reduction in training time compared to its QA baseline counterpart. The effectiveness of our system stems from fine-tuning the BERT model twice, separately for span detection and classification. The source code can be found at https://github.com/c3sr/split-ner.
Additional file 1 of Rheumatic involvement and bone scan features in Schnitzler syndrome: initial and follow-up data from a single-center cohort of 25 patients
Creators: name: Darrieutort-Laffite, Christelle
name: Ansquer, Catherine
name: Aubert, Hélène
name: Kraeber-Bodéré, Françoise
name: Masseau, Agathe
name: Agard, Christian
name: Hamidou, Mohamed
name: Bernier, Claire
name: Berthelot, Jean-Marie
name: Benoit Le Goff
name: Barbarot, Sébastien
name: Néel, Antoine
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Hematology
subject: 60506 Virology
subject: Computational Biology

description: Additional file 1 : Figure S1. Conventional x-rays showing osteosclerotic lesions of the femur (A,B) and bone densification of the iliac bone (C,D). Table S1. Characteristics and outcome of 3 non IgMκ cases. Table S2. Characteristics of 13 patients assessed with bone scan while untreated. Table S3. Relationship between Bone scan features, pain, and treatment. Table S4. Treatments.
RNA Control of HIV-1 Particle Size Polydispersity
Creators: name: Faivre-Moskalenko, Cendrine
name: Bernaud, Julien
name: Thomas, Audrey
name: Tartour, Kevin
name: Beck, Yvonne
name: Iazykov, Maksym
name: Danial, John
name: Lourdin, Morgane
name: Muriaux, Delphine
name: Castelnovo, Martin
Publisher: name: arXiv
Year: 2014
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Biomolecules (q-bio.BM)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: HIV-1, an enveloped RNA virus, produces viral particles that are known to be much more heterogeneous in size than is typical of non-enveloped viruses. We present here a novel strategy to study HIV-1 Viral Like Particles (VLP) assembly by measuring the size distribution of these purified VLPs and subsequent viral cores thanks to Atomic Force Microscopy imaging and statistical analysis. This strategy allowed us to identify whether the presence of viral RNA acts as a modulator for VLPs and cores size heterogeneity in a large population of particles. These results are analyzed in the light of a recently proposed statistical physics model for the self-assembly process. In particular, our results reveal that the modulation of size distribution by the presence of viral RNA is qualitatively reproduced, suggesting therefore an entropic origin for the modulation of RNA uptake by the nascent VLP.
Research Spotlights: Introducing a tool for showcasing the visibility of diverse populations in scholarly publications
Creators: name: Homeyra Banaeefar
name: Burchart, Sarah
name: Palvolgyi-Polyak, Eszter
Publisher: name: Zenodo
Year: 2023

description: The ICPSR Bibliography of Data-related Literature is a freely-available and continually updated database of over 105,000 citations that link data to primary and secondary analyses by researchers across the world. Since 2020, the Bibliography’s Information Resource staff has been creating instructional resources called Research Spotlights, using the Bibliography as their source to synthesize the findings about one or several related topics. These Research Spotlights show how scholars are using data available from the Inter-university Consortium for Political and Social Research (ICPSR) in their analyses.

 This poster will showcase how we make use of Research Spotlights to highlight the diversity of populations represented across a variety of fields contained in the studies archived at ICPSR. In addition to shedding light on research publications using data connected to timely topics, the Research Spotlights written so far have been able to underscore how research findings are particularly relevant to specialized diverse communities, such as LGBTQ+ populations, women, or the elderly.

 The future goal for the Research Spotlights is to adopt better analytics to track their impact on data reuse. These short literature reviews increase awareness of the value of existing data to address new research questions. Data reuse is cost- and time-efficient, and it benefits users in many areas of social science including training and higher education. Librarians and other instructors can utilize Research Spotlights as data literacy tools to help students and emerging scholars find models for data reuse in the scholarly literature.
Additional file 1 of Formulation of traditional Chinese medicine and its application on intestinal flora of constipated rats
Creators: name: Sihan Li
name: Youcheng He
name: Haiou Zhang
name: Zheng, Rong
name: Ruoying Xu
name: Qihong Liu
name: Shuihua Tang
name: Ke, Xiao
name: Huang, Minghan
Publisher: name: figshare
Year: 2020
Subjects: subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy

description: Additional file 1: Figure S1. Multy samples rarefaction curves for each group. Figure S2. Number of samples sequenced for each group.
Topological Learning for Motion Data via Mixed Coordinates
Creators: name: Luo, Hengrui
name: Kim, Jisu
name: Patania, Alice
name: Vejdemo-Johansson, Mikael
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Algebraic Topology (math.AT)
subject: Computation (stat.CO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Topology can extract the structural information in a dataset efficiently. In this paper, we attempt to incorporate topological information into a multiple output Gaussian process model for transfer learning purposes. To achieve this goal, we extend the framework of circular coordinates into a novel framework of mixed valued coordinates to take linear trends in the time series into consideration. One of the major challenges to learn from multiple time series effectively via a multiple output Gaussian process model is constructing a functional kernel. We propose to use topologically induced clustering to construct a cluster based kernel in a multiple output Gaussian process model. This kernel not only incorporates the topological structural information, but also allows us to put forward a unified framework using topological information in time and motion series.
description: 7 pages, 4 figures
Direct raman spectroscopic measurements of biological nitrogen fixation under natural conditions: An analytical approach for studying nitrogenase activity
Creators: name: Jochum, Tobias
name: Fastnacht, Agnes
name: Trumbore, Susan E.
name: Popp, Jürgen
name: Frosch, Torsten
Publisher: name: Columbus, Ohio : American Chemical Society
Year: 2016
Subjects: subject: Nitrogen
subject: Peptides and proteins
subject: Photosynthesis
subject: Plants
subject: Raman spectroscopy
subject: 540

description: Biological N2 fixation is a major input of bioavailable nitrogen, which represents the most frequent factor limiting the agricultural production throughout the world. Especially, the symbiotic association between legumes and Rhizobium bacteria can provide substantial amounts of nitrogen (N) and reduce the need for industrial fertilizers. Despite its importance in the global N cycle, rates of biological nitrogen fixation have proven difficult to quantify. In this work, we propose and demonstrate a simple analytical approach to measure biological N2 fixation rates directly without a proxy or isotopic labeling. We determined a mean N2 fixation rate of 78 ± 5 μmol N2 (g dry weight nodule)-1 h-1 of a Medicago sativa-Rhizobium consortium by continuously analyzing the amount of atmospheric N2 in static environmental chambers with Raman gas spectroscopy. By simultaneously analyzing the CO2 uptake and photosynthetic plant activity, we think that a minimum CO2 mixing ratio might be needed for natural N2 fixation and only used the time interval above this minimum CO2 mixing ratio for N2 fixation rate calculations. The proposed approach relies only on noninvasive measurements of the gas phase and, given its simplicity, indicates the potential to estimate biological nitrogen fixation of legume symbioses not only in laboratory experiments. The same methods can presumably also be used to detect N2 fluxes by denitrification from ecosystems to the atmosphere. (Figure Presented).
To do or not to do? – Decision-making trees and tools for legal questions in research data management (RDM)
Creators: name: Watteler, Oliver
Publisher: name: Zenodo
Year: 2023

description: In data management researchers and research support staff must deal with organizational, technical and legal questions. Examples are the data collection process, secure storage of personal information or the legal bases to process such data. Some of these questions have been answered in papers and presentations or have made their way into (commented) checklists. On the other hand, some questions are more complex, because they consist of simpler, more detailed and interdependent questions. Areas where this is particularly relevant are legal issues, such as data protection, intellectual property rights and contractual arrangements of various kinds. Now, even if these simpler questions increase the understanding of challenges and support the implementation of adequate data management means, legal aspects in general remain problematic for researchers and research support staff to tackle. In order to facilitate decision-making, the German project group KuRWORK (GESIS, Technical Information Library – TIB, Hannover, Science Center Berlin - WZB) evaluated decision-making trees designed by the DataJus project (Lauber-Rönsberger et al., Technical University, Dresden) by testing them against cases of existing data from research projects. The aim of the KuRWORK project is to improve these decision-making trees and to make them accessible in a more dynamic way. In this paper we present the original ideas, our improvements and Xerte (https://www.xerte.org.uk/) and HP5 (https://h5p.org/) as tools to map the decision trees.
Detection of significant cm to sub-mm band radio and gamma-ray correlated variability in Fermi bright blazars
Creators: name: Fuhrmann, L.
name: Larsson, S.
name: Chiang, J.
name: Angelakis, E.
name: Zensus, J. A.
name: Nestoras, I.
name: Krichbaum, T. P.
name: Ungerechts, H.
name: Sievers, A.
name: Pavlidou, V.
name: Readhead, A. C. S.
name: Max-Moerbeck, W.
name: Pearson, T. J.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The exact location of the gamma-ray emitting region in blazars is still controversial. In order to attack this problem we present first results of a cross-correlation analysis between radio (11 cm to 0.8 mm wavelength, F-GAMMA program) and gamma-ray (0.1-300 GeV) ~ 3.5 year light curves of 54 Fermi-bright blazars. We perform a source stacking analysis and estimate significances and chance correlations using mixed source correlations. Our results reveal: (i) the first highly significant multi-band radio and gamma-ray correlations (radio lagging gamma rays) when averaging over the whole sample, (ii) average time delays (source frame: 76+/-23 to 7+/-9 days), systematically decreasing from cm to mm/sub-mm bands with a frequency dependence tau_r,gamma (nu) ~ nu^-1, in good agreement with jet opacity dominated by synchrotron self-absorption, (iii) a bulk gamma-ray production region typically located within/upstream of the 3 mm core region (tau_3mm,gamma=12+/-8 days), (iv) mean distances between the region of gamma-ray peak emission and the radio "tau=1 photosphere" decreasing from 9.8+/-3.0 pc (11 cm) to 0.9+/-1.1 pc (2 mm) and 1.4+/-0.8 pc (0.8 mm), (v) 3 mm/gamma-ray correlations in 9 individual sources at a significance level where one is expected by chance (probability: 4 times 10^-6), (vi) opacity and "time lag core shift" estimates for quasar 3C 454.3 providing a lower limit for the distance of the bulk gamma-ray production region from the supermassive black hole (SMBH) of ~ 0.8-1.6 pc, i.e. at the outer edge of the Broad Line Region (BLR) or beyond. A 3 mm tau=1 surface at ~ 2-3 pc from the jet-base (i.e. well outside the "canonical BLR") finally suggests that BLR material extends to several pc distances from the SMBH.
description: 12 pages, 5 figures, accepted for publication in MNRAS