cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Mycetophila vittipes Zetterstedt 1852
Creators: name: El Mouden, Mohamed Amin
name: Chandler, Peter J.
name: Saidoun, Imane
name: Driauach, Ouafaa
name: Belqat, Boutaïna
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Mycetophilidae
Mycetophila
Mycetophila vittipes

description: Mycetophila vittipes Zetterstedt, 1852
Material examined.
Morocco – Middle Atlas Region • 5 ♀♀; Gouffre Izora; 19/V/2022; K. Aattouch, M. El Ouahabi and M. A. El Mouden leg; UAE-FST MA 22/24169 • 5 ♂♂, 5 ♀♀; Grotte Bouslama; 19/V/2022; K. Aattouch, M. El Ouahabi and M. A. El Mouden leg; UAE-FST MA 22/24170; • 1 ♂; Forêt Bab Boudir; 20/V/2022; K. Aattouch, M. El Ouahabi and M. A. El Mouden leg; UAE-FST MA 22/24168.
North African distribution.
Morocco (Banamar et al. 2020).
description: Published as part of El Mouden, Mohamed Amin, Chandler, Peter J., Saidoun, Imane, Driauach, Ouafaa & Belqat, Boutaïna, 2025, A new species of Docosia Winnertz, 1864 and new records of fungus gnats (Diptera, Bolitophilidae, Keroplatidae and Mycetophilidae) from North Africa, pp. 349-379 in ZooKeys 1233 on pages 349-379, DOI: 10.3897/zookeys.1233.130502
More on massive gravitino scattering amplitudes and the unitarity cutoff of the new Fayet-Iliopoulos terms
Creators: name: Antoniadis, Ignatios
name: Cunat, Jules
name: Guillen, Anthony
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We extend the $2\rightarrow2$ gravitino scattering amplitude computed in [1] to an arbitrary $\mathcal{N}=1$ supergravity model of one chiral and one vector multiplet, in a Minkowski background with supersymmetry breaking driven by both $F$- and $D$-terms. We find that the cancellation of the leading term in $\mathcal{O}(κ^2 E^4/|m_{3/2}|^2)$, that would lead to a breakdown of perturbative unitarity at a scale $Λ\sim M_\mathrm{SUSY}$, is a consequence of the vanishing of the scalar potential at its minimum, which is implied by the flat background. We then analyse the inclusion of the new Fayet-Iliopoulos (FI) terms. We find that, since they modify the scalar potential without contributing to the amplitudes, they generically lead to uncanceled leading terms in the latter and a perturbative cutoff at the supersymmetry breaking scale, except for particular cases where the new FI term does not modify the potential at its minimum and the cutoff is pushed up to the Planck scale.
description: 14 pages, 2 figures
Bayesian optimization of massive material injection for disruption mitigation in tokamaks
Creators: name: Pusztai, Istvan
name: Ekmark, Ida
name: Bergström, Hannes
name: Halldestam, Peter
name: Jansson, Patrik
name: Hoppe, Mathias
name: Vallhagen, Oskar
name: Fülöp, Tünde
Publisher: name: arXiv
Year: 2023
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: A Bayesian optimization framework is used to investigate scenarios for disruptions mitigated with combined deuterium and neon injection in ITER. The optimization cost function takes into account limits on the maximum runaway current, the transported fraction of the heat loss and the current quench time. The aim is to explore the dependence of the cost function on injected densities, and provide insights into the behaviour of the disruption dynamics for representative scenarios. The simulations are conducted using the numerical framework DREAM (Disruption Runaway Electron Analysis Model). We show that irrespective of the quantities of the material deposition, multi-megaampere runaway currents will be produced in the deuterium-tritium phase of operations, even in the optimal scenarios. However, the severity of the outcome can be influenced by tailoring the radial profile of the injected material; in particular if the injected neon is deposited at the edge region it leads to a significant reduction of both the final runaway current and the transported heat losses. The Bayesian approach allows us to map the parameter space efficiently, with more accuracy in favorable parameter regions, thereby providing us information about the robustness of the optima.
Persistent current in quantum torus knots
Creators: name: Shima, Hiroyuki
Publisher: name: arXiv
Year: 2012
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: I consider the quantum interference of electrons moving along knotted trajectories under external magnetic field. The induced persistent current is formulated in terms of characteristic parameters that classify the torus knot geometry. The current is found to show a periodic oscillation whose period depends strongly both on the knot's class and the field direction. The shift in the oscillation period caused by geometric distortion is also discussed.
description: 4 pages, 3 figures
Extending Rotational Coherence of Interacting Polar Molecules in a Spin-Decoupled Magic Trap
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: cond-mat.quant-gas
physics.atom-ph

description: © 2018 American Physical Society. Superpositions of rotational states in polar molecules induce strong, long-range dipolar interactions. Here we extend the rotational coherence by nearly 1 order of magnitude to 8.7(6) ms in a dilute gas of polar Na23K40 molecules in an optical trap. We demonstrate spin-decoupled magic trapping, which cancels first-order and reduces second-order differential light shifts. The latter is achieved with a dc electric field that decouples nuclear spin, rotation, and trapping light field. We observe density-dependent coherence times, which can be explained by dipolar interactions in the bulk gas.
On the Time Momentum Representation of Hadronic Vacuum Polarization and $\boldsymbol{g_μ-2}$
Creators: name: Greynat, David
name: de Rafael, Eduardo
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We propose a new set of model independent approximants adapted to the time momentum representation (TMR) of hadronic vacuum polarization (HVP) and its contribution to $g_μ-2$. They provide a way to extrapolate lattice QCD (LQCD) results obtained in an optimal time-region, to the full range required for an evaluation of the HVP contribution to $g_μ-2$. They offer as well a new way to confront LQCD results in restricted TMR regions, with the full contribution obtained from data driven determinations.
description: 28 pages, 13 figures, 2 tables. A new paragraph added in section 5.2 . Version published in JHEP
Predicting Dreissena spp. presence and biomass as a function of Lake Huron environmental characteristics
Creators: name: Wardell, Jennifer
Publisher: name: My University
Year: 2021
Subjects: Lake Huron
species distribution modeling

description: Invasive dreissenid mussels (Dreissena polymorpha and Dreissena rostriformis bugensis) have had multiple effects on Great Lakes ecosystems, changing benthic habitats and altering food web structure and nutrient cycling on lake-wide scales. The severity of these effects depends on dreissenid density and biomass distributions, therefore, dreissenid abundances must be well understood before their impacts can be accurately estimated and managed. This thesis explores whether environmental factors can quantify and predict dreissenid distributions and abundances on a lake-wide scale. Spatial trends in dreissenid distribution and abundance were examined using dreissenid mussel abundance data from the 2017 Lake Huron Coordinated Science and Monitoring Initiative (CSMI) survey. A suite of models was developed using ten environmental explanatory variables to interpolate and predict dreissenid presence and biomass. Specifically, I developed an empirical Bayesian kriging model (r2 = 0.61), boosted regression tree models for abundance of quagga mussels (r2 = 0.27) and both mussel species (r2 = 0.23), and a boosted regression tree model of dreissenid presence (ROC score 0.735). The most important explanatory variables for dreissenid biomass were February maximum bottom temperature, substrate, bathymetry, tributary influence, and April colored dissolved organic matter. Dreissenid presence was most well described by distance from the Saginaw River, bathymetry, and February maximum bottom temperature. The inclusion of bathymetry and temperature in all the best performing models indicates the high importance of these variables for dreissenid distribution and abundance. While the models developed performed adequately, future distribution models could be improved through increases in survey effort and improved information about mussel habitat characteristics and environmental constraints. Advanced survey technologies such as autonomous underwater vehicles may be particularly helpful to quickly produce better species abundance and habitat data. Future predictive modeling efforts will be enhanced by incorporating data for other important explanatory variables, such as ionic calcium concentration, currents, and benthic food availability.
The Impact Of Stellar Companions On Disk And Planet Formation
Creators: name: Akeson, Rachel
Publisher: name: Zenodo
Year: 2016

description: We present results from an ALMA survey of  young systems in Taurus which detected over 25 new disks around  both single and multiple stars with spectral types from M0 to M6. Combined with previous data, we use the ALMA detections to

probe how protoplanetary disk mass depends on both stellar mass and multiplicity and discuss the implications for possible planet formation around these stars.
description: With Eric Jensen, Emma Suen-Lewis, John Carpenter and Luca Ricci
Complex particle acceleration processes in the hotspots of 3C105 and 3C445
Creators: name: Orienti, M.
name: Prieto, M. A.
name: Brunetti, G.
name: Mack, K. -H.
name: Massaro, F.
name: Harris, D. E.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We investigate the nature of the broad-band emission associated with the low-power radio hotspots 3C105 South and 3C445 South. Both hotspot regions are resolved in multiple radio/optical components. High-sensitivity radio VLA, NIR/optical VLT and HST, and X-ray Chandra data have been used to construct the multi-band spectra of individual hotspot components. The radio-to-optical spectra of both hotspot regions are well fitted by a synchrotron model with steep spectral indices ~0.8 and break frequencies 10^12-10^14 Hz. 3C105 South is resolved in two optical components: a primary one, aligned with the jet direction and possibly marking the first jet impact with the surrounding medium, and a secondary, further out from the jet and extended in a direction perpendicular to it. This secondary region is interpreted as a splatter-spot formed by the deflection of relativistic plasma from the primary hotspot. Radio and optical images of 3C445 South show a spectacular 10-kpc arc-shape structure characterized by two main components, and perpendicular to the jet direction. HST images in I and B bands further resolve the brightest components into thin elongated features. In both 3C105 South and 3C445 South the main hotspot components are enshrouded by diffuse optical emission on scale of several kpcs, indicating that very high energy particles, possibly injected at strong shocks, are continuously re-accelerated in situ by additional acceleration mechanisms. We suggest that stochastic processes, linked to turbulence and instabilities, could provide the required additional re-acceleration.
description: 13 pages, 11 figures; accepted for publication in MNRAS
Meandering periods and asymmetries in light curves of Miras: Observational evidence for low mass-loss rates
Creators: name: Merchan-Benitez, P.
name: Uttenthaler, S.
name: Jurado-Vargas, M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Some Miras -- long-period variables in late evolutionary stages -- have meandering pulsation periods and light curve asymmetries, the causes of which are still unclear. We aim to understand better the origin of these phenomena by investigating a sample of solar-neighbourhood Miras. We characterised this group of stars and related their variability characteristics to other stellar parameters. We analysed observations from several databases to obtain light curves with maximum time span and temporal coverage for a sample of 548 Miras. We determined their pulsation period evolution over a time span of many decades, searched for changes in the periods, and determined the amplitude of the period change. We also analysed the Fourier spectra with respect to possible secondary frequency maxima. The sample was divided into two groups with respect to the presence of light curve bumps. IR colours and indicators of the third dredge-up were collected to study the sample stars' mass-loss and deep mixing properties. Our analysis revealed one new star, T~Lyn, with a continuously changing period. The group of Miras with meandering period changes is exclusively made up of M-type stars. The Fourier spectra of the meandering period Miras have no prominent additional peaks, suggesting that additional pulsation modes are not the cause of the meandering periods. We confirm that bumps are more common among S and C Miras and show, for the first time, that Miras with bumps have lower mass-loss rates than those with regular, symmetric light curves. Also Miras with meandering period changes have relatively little mass loss. We conclude that Miras with strongly changing periods or asymmetries in their light curves have relatively low dust mass-loss rates. Meandering period changes and light curve asymmetries could be connected to He-shell flashes and third dredge-up episodes.
description: 13 pages (plus 13 pages Appendix), 14 Figures, accepted for publication in A&A
On the radial linear stability of nonrelativistic $\ell$-boson stars
Creators: name: Roque, Armando A.
name: Nambo, Emmanuel Chávez
name: Sarbach, Olivier
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We study the linear stability of nonrelativistic $\ell$-boson stars, describing static, spherically symmetric configurations of the Schrödinger-Poisson system with multiple wave functions having the same value of the angular momentum $\ell$. In this work we restrict our analysis to time-dependent perturbations of the radial profiles of the $2\ell+1$ wave functions, keeping their angular dependency fixed. Based on a combination of analytic and numerical methods, we find that for each $\ell$, the ground state is linearly stable, whereas the $n$'th excited states possess $2n$ unstable (exponentially in time growing) modes. Our results also indicate that all excited states correspond to saddle points of the conserved energy functional of the theory.
description: 21+1 pages, 7 figures, 5 tables
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: cs.CV

description: © 2018 IEEE. Recent years have witnessed the unprecedented success of deep convolutional neural networks (CNNs) in single image super-resolution (SISR). However, existing CNN-based SISR methods mostly assume that a low-resolution (LR) image is bicubicly downsampled from a high-resolution (HR) image, thus inevitably giving rise to poor performance when the true degradation does not follow this assumption. Moreover, they lack scalability in learning a single model to nonblindly deal with multiple degradations. To address these issues, we propose a general framework with dimensionality stretching strategy that enables a single convolutional super-resolution network to take two key factors of the SISR degradation process, i.e., blur kernel and noise level, as input. Consequently, the super-resolver can handle multiple and even spatially variant degradations, which significantly improves the practicability. Extensive experimental results on synthetic and real LR images show that the proposed convolutional super-resolution network not only can produce favorable results on multiple degradations but also is computationally efficient, providing a highly effective and scalable solution to practical SISR applications.
EHR phenotyping via jointly embedding medical concepts and words into a unified vector space
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: Electronic health records
Distributed representation
Natural language processing
Healthcare

description: © 2018 The Author(s). Background: There has been an increasing interest in learning low-dimensional vector representations of medical concepts from Electronic Health Records (EHRs). Vector representations of medical concepts facilitate exploratory analysis and predictive modeling of EHR data to gain insights about the patterns of care and health outcomes. EHRs contain structured data such as diagnostic codes and laboratory tests, as well as unstructured free text data in form of clinical notes, which provide more detail about condition and treatment of patients. Methods: In this work, we propose a method that jointly learns vector representations of medical concepts and words. This is achieved by a novel learning scheme based on the word2vec model. Our model learns those relationships by integrating clinical notes and sets of accompanying medical codes and by defining joint contexts for each observed word and medical code. Results: In our experiments, we learned joint representations using MIMIC-III data. Using the learned representations of words and medical codes, we evaluated phenotypes for 6 diseases discovered by our and baseline method. The experimental results show that for each of the 6 diseases our method finds highly relevant words. We also show that our representations can be very useful when predicting the reason for the next visit. Conclusions: The jointly learned representations of medical concepts and words capture not only similarity between codes or words themselves, but also similarity between codes and words. They can be used to extract phenotypes of different diseases. The representations learned by the joint model are also useful for construction of patient features.
Envelopes for orbits around axially symmetric sources with spheroidal shape
Creators: name: Ramos-Caro, Javier
name: Vieira, Ronaldo S. S.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We introduce a method to obtain the envelopes of eccentric orbits in axially symmetric potentials, $Φ(R,z)$, endowed with $z$-symmetry of reflection. By making the transformation $z\rightarrow a+\sqrt{a^{2}+ z^{2}}$, with $a>0$, we compute the resulting mass density, referred here as the \emph{effective density} $ρ_{\rm ef}(R,z;a)$, in order to calculate the envelopes $Z(R)$ of orbits in the meridional plane $(R,z)$. We find that they obey the approximated formula $Z(R)\propto [Σ_{\rm ef}(R;a\approx 0)]^{-1/3}$, where $Σ_{\rm ef}(R;a)$ is the integrated surface density associated with $ρ_{\rm ef}(R,z;a)$. As examples we consider the dynamics in two potentials: the monopole plus quadrupole and the Kalnajs disc.
description: 7 pages, 12 figures
Millimeter Continuum Observations Of Disk Solids
Creators: name: Andrews, Sean
Publisher: name: Zenodo
Year: 2016

description: I will offer a condensed overview of some key issues in protoplanetary disk research that makes use interferometric measurements of the millimeter-wavelength continuum emitted by their solid particles.  Several lines of evidence now qualitatively support theoretical models for the growth and migration of disk solids, but also advertise a quantitative tension with the traditional efficiency of that evolution.  New observations of small-scale substructures in disks might both reconcile the conflict and shift our focus in the mechanics of planet formation.
A new alpha-enhanced super-solar metallicity population
Creators: name: Adibekyan, V. Zh.
name: Santos, N. C.
name: Sousa, S. G.
name: Israelian, G.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We performed a uniform and detailed analysis of 1112 high-resolution spectra of FGK dwarfs obtained with the HARPS spectrograph at the ESO 3.6 m telescope (La Silla, Chile). Most stars have effective temperatures 4700 K < Teff < 6300 K and lie in the metallicity range of -1.39 < [Fe/H] < 0.55. Our main goal is to investigate whether there are any differences between the elemental abundance trends (especially [alpha/Fe] ratio) for stars of different subpopulations. The equivalent widths of spectral lines are automatically measured from HARPS spectra with the ARES code. The abundances of three alpha elements are determined using a differential LTE analysis relative to the Sun, with the 2010 revised version of the spectral synthesis code MOOG and a grid of Kurucz ATLAS9 atmospheres.The stars of our sample fall into two populations, clearly separated in terms of [alpha/Fe] up to super-solar metallicities. In turn, high-alpha stars are also separated into two families with a gap in both [alpha/Fe] ([alpha/Fe] = 0.17) and metallicity ([Fe/H] = -0.2) distributions. The metal-poor high-alpha stars (thick disk) and metal-rich high-alpha stars are on average older than chemically defined thin disk stars (low-alpha stars). The two alpha-enhanced families have different kinematics and orbital parameters. The metal-rich alpha-enhanced stars, such as thin disk stars have nearly circular orbits, close to the Galactic plane. We put forward the idea that these stars may have been formed in the inner Galactic disk, but their exact nature still remains to be clarified.
description: 5 pages, 5 figures
A patient-oriented clinical decision support system for CRC risk assessment and preventative care
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: Colorectal Cancer
CDSS
Risk factors
Visualization

description: © 2018 The Author(s). Background: Colorectal Cancer (CRC) is the third leading cause of cancer death among men and women in the United States. Research has shown that the risk of CRC associates with genetic and lifestyle factors. It is possible to prevent or minimize certain CRC risks by adopting a healthy lifestyle. Existing Clinical Decision Support Systems (CDSS) mainly targeted physicians as the CDSS users. As a result, the availability of patient-oriented CDSS is limited. Our project is to develop patient-oriented CDSS for active CRC management. Methods: We implemented an online patient-oriented CRC CDSS for the public to learn about CRC, assess CRC risk levels, understand personalized CRC risk factors, and seek professional advices for people with CRC concerns. The system is implemented based on the Django Model-View-Controller (MVC) framework with an extensible background MySQL database. A CRC absolute risk prediction model is applied to calculate the personalized CRC risk score with a user-friendly web survey. An interactive dashboard using advanced data visualization technics will display and interpret the risk scores and factors. Based on the risk assessment, a structured decision tree algorithm will provide the recommendations on customized CRC screening methods. The CDSS also provides a search function for preferred providers and hospitals based on geographical information and patient preferences. Results: A prototype of the patient-oriented CRC CDSS has been developed. It provides an open assessment of potential CRC risks via an online survey. The CRC risk predictive model has been implemented. The prediction outcomes of risk levels and factors are presented to the users through a personalized interactive visualization interface, to guide the public on how to reduce the CRC risks by changing their living styles (such as smoking and drinking) and diet characteristics (such as consumptions of red meat and milk). The CDSS will also provide customized recommendations on screening methods based on the corresponding risk factors. For users seeking professional clinicians, the CDSS also provides a convenient tool for searching nearby hospitals and available doctors based on the location preferences and providers characteristics (such as gender, language, and specialty). Conclusions: This CRC CDSS prototype provides a patient-friendly interface for CRC risk assessment and gives a personalized interpretation on important CRC risk factors. It is a useful tool to educate the public on CRC, to provide guidance on minimizing CRC risks, and to promote early CRC screening that reduces the CRC occurrences.
Probation officers and the work environment : coping well with change
Creators: name: Dzedzora, Vivian
Publisher: name: University of British Columbia
Year: 2010

description: This was a qualitative, exploratory study that focused on three research questions: 1) what is the lived experience of experienced probation officers who are coping well with change, 2) what are the self-sustaining strategies probation officers use to cope well with on-going change in their work life, what hindered them from doing well, and were there things that would have been helpful but were unavailable, and 3) whether the research interview itself had an impact on probation officers’ sense of well being. This study used a descriptive phenomenological approach to gather information about probation officers’ experiences of career and change, and the Critical Incident Technique (CIT) (Flanagan, 1954) to elicit helping and hindering incidents and wish list items. A quantitative component was embedded in the form of a pre-and-post scaling question to determine if the interview process itself had an impact on the participants. Data from the phenomenological portion of the study elicited major themes for each of the relevant questions and established the contextual framework for the CIT component of the study. Data from the CIT portion of the study elicited ten helping, hindering and wish list categories. These ten categories represent the strategies that probation officers utilize in order to cope well with change. Data from the quantitative component of the study indicated that the research interview had minimal impact on participants. Implications for further research and theory development along with suggestions for workers, organizations, and counsellors are discussed.
Fourier domain rotational anisotropy-second harmonic generation
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: physics.optics

description: © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement We describe a novel scheme of detecting rotational anisotropy-second harmonic generation (RA-SHG) signals using a lock-in amplifier referenced to a fast scanning RA-SHG apparatus. The method directly measures the nth harmonics of the scanning frequency corresponding to SHG signal components of Cn symmetry that appear in a Fourier series expansion of a general RA-SHG signal. GaAs was used as a test sample allowing comparison of point-by-point averaging with the lock-in based method. When divided by the C∞ signal component, the lock-in detected data allowed for both self-referenced determination of ratios of Cn components of up to 1 part in 104 and significantly more sensitive measurement of the relative amount of different Cn components when compared with conventional methods.
Probing Dark Sectors with Neutron Stars
Creators: name: Gardner, Susan
name: Zakeri, Mohammadreza
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Tensions in the measurements of neutron and kaon weak decays, such as of the neutron lifetime, may speak to the existence of new particles and dynamics not present in the Standard Model (SM). In scenarios with dark sectors, particles that couple feebly to those of the SM appear. We offer a focused overview of such possibilities and describe how the observations of neutron stars, which probe either their structure or dynamics, limit them. In realizing these constraints, we highlight how the assessment of particle processes within dense baryonic matter impacts the emerging picture -- and we emphasize both the flavor structure of the constraints and their broader connections to cogenesis models of dark matter and baryogenesis.
description: This article is an invited review for the "Neutron Lifetime" special issue of the journal Universe. This is the published version; minor changes were made and references added
A generalized series expansion of the arctangent function based on the enhanced midpoint integration
Creators: name: Abrarov, Sanjar M.
name: Siddiqui, Rehan
name: Jagpal, Rajinder K.
name: Quine, Brendan M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Mathematics (math.GM)
subject: FOS: Mathematics
subject: 26A18, 41A10

description: In this work we derive a generalized series expansion of the acrtangent function by using the enhanced midpoint integration (EMI). Algorithmic implementation of the generalized series expansion utilizes two-step iteration without surd and complex numbers. The computational test we performed reveals that such a generalization improves accuracy in computation of the arctangent function by many orders of the magnitude with increasing integer $M$, associated with subintervals in the EMI formula. The generalized series expansion may be promising for practical applications. It may be particularly useful in practical tasks, where extensive computations with arbitrary precision floating points are needed. The algorithmic implementation of the generalized series expansion of the arctangent function shows a rapid convergence rate in the computation of digits of $π$ in the Machin-like formulas.
description: 17 pages, 3 figures
Classical self-energy and anomaly
Creators: name: Frolov, Valeri P.
name: Zelnikov, Andrei
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the problem of self-energy of pointlike charges in higher dimensional static spacetimes. Their energy, as a functional of the spacetime metric, is invariant under a specific continuous transformation of the metric. We show that the procedure of regularization of this formally divergent functional breaks this symmetry and results in an anomalous contribution to the finite renormalized self-energy. We proposed a method of calculation of this anomaly and presented an explicit expressions for it in the case of a scalar charge in four and five-dimensional static spacetimes. This anomalous correction proves to be zero in even dimensions, but it does not vanish in odd-dimensional spacetimes.
description: 5 pages
Canvass: A Crowd-Sourced, Natural-Product Screening Library for Exploring Biological Space
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: 0305 Organic Chemistry

description: © 2018 American Chemical Society. Natural products and their derivatives continue to be wellsprings of nascent therapeutic potential. However, many laboratories have limited resources for biological evaluation, leaving their previously isolated or synthesized compounds largely or completely untested. To address this issue, the Canvass library of natural products was assembled, in collaboration with academic and industry researchers, for quantitative high-throughput screening (qHTS) across a diverse set of cell-based and biochemical assays. Characterization of the library in terms of physicochemical properties, structural diversity, and similarity to compounds in publicly available libraries indicates that the Canvass library contains many structural elements in common with approved drugs. The assay data generated were analyzed using a variety of quality control metrics, and the resultant assay profiles were explored using statistical methods, such as clustering and compound promiscuity analyses. Individual compounds were then sorted by structural class and activity profiles. Differential behavior based on these classifications, as well as noteworthy activities, are outlined herein. One such highlight is the activity of (-)-2(S)-cathafoline, which was found to stabilize calcium levels in the endoplasmic reticulum. The workflow described here illustrates a pilot effort to broadly survey the biological potential of natural products by utilizing the power of automation and high-throughput screening.
Elastic turbulence in a curvilinear channel flow
Creators: name: Jun, Yonggun
name: Steinberg, Victor
Publisher: name: arXiv
Year: 2011
Subjects: subject: Chaotic Dynamics (nlin.CD)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: We report detailed quantitative studies of elastic turbulence in a curvilinear channel flow in a dilute polymer solution of high molecular weight polyacrylamide in a high viscosity water-sugar solvent. Detailed studies of the average and rms velocity and velocity gradients profiles reveal an emergence of the boundary layer associated with the nonuniform distribution of the elastic stresses across the channel. The characteristic boundary width is independent of the Weissenberg number Wi and proportional to the channel width that follows from our early investigations of the boundary layer in elastic turbulence of different flow geometries. The appearance of the characteristic spatial scales of the order of the boundary layer width of both velocity and velocity gradient in the correlation functions of the velocity and velocity gradient fields in a bulk flow suggests that rare and strong parcels of excessive elastic stresses, concentrated in the boundary layer, are ejected into the bulk flow similar to jets observed in passive scalar mixing. And finally, the experimental results show that one of the main predictions of the theory of elastic turbulence, namely the saturation of the normalized rms velocity gradient in the bulk flow of elastic turbulence contradicts to the experimental observations both qualitatively and quantitatively in spite of the fact that the theory explains well the observed sharp decay of the velocity power spectrum. The experimental findings call for further development of theory of elastic turbulence in a bounded container, similar to what was done for a passive scalar problem.
description: 14 pages, 36 figures
National standards or territorial autonomy? Public opinion and the politics of fiscal federalism for healthcare in Canada
Creators: name: Borwein, Sophie
name: Jacques, Olivier
name: Béland, Daniel
name: Lecours, André
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Mental Health
subject: Virology

description: Focusing on public opinion, this paper studies the politics of fiscal federalism by analysing support for the level and conditionality of intergovernmental transfers for healthcare. Leveraging a representative survey of the Canadian population conducted in 2022, we show that preferences for fiscal federalism reflect territorial identity and ideology. Left-wing respondents are more likely than right-wing ones to prefer higher, conditional transfers. However, Canadians with a predominant provincial identity prefer more decentralisation and therefore unconditional transfers, regardless of their ideology. Hence, the politics of fiscal federalism cannot be strictly understood as a reflection of a left-right cleavage; identity also matters.
A pedagogical presentation of a $C^\star$-algebraic approach to quantum tomography
Creators: name: Ibort, A.
name: Manko, V. I.
name: Marmo, G.
name: Simoni, A.
name: Ventriglia, F.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Quantum Physics (quant-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: It is now well established that quantum tomography provides an alternative picture of quantum mechanics. It is common to introduce tomographic concepts starting with the Schrodinger-Dirac picture of quantum mechanics on Hilbert spaces. In this picture states are a primary concept and observables are derived from them. On the other hand, the Heisenberg picture,which has evolved in the $C^\star-$algebraic approach to quantum mechanics, starts with the algebra of observables and introduce states as a derived concept. The equivalence between these two pictures amounts essentially, to the Gelfand-Naimark-Segal construction. In this construction, the abstract $% C^\star-$algebra is realized as an algebra of operators acting on a constructed Hilbert space. The representation one defines may be reducible or irreducible, but in either case it allows to identify an unitary group associated with the $C^\star-$algebra by means of its invertible elements. In this picture both states and observables are appropriate functions on the group, it follows that also quantum tomograms are strictly related with appropriate functions (positive-type)on the group. In this paper we present, by means of very simple examples, the tomographic description emerging from the set of ideas connected with the $C^\star-$algebra picture of quantum mechanics. In particular, the tomographic probability distributions are introduced for finite and compact groups and an autonomous criterion to recognize a given probability distribution as a tomogram of quantum state is formulated.
Discovering planets with PLATO: Comparison of algorithms for stellar activity filtering
Creators: name: Canocchi, G.
name: Malavolta, L.
name: Pagano, I.
name: Barragán, O.
name: Piotto, G.
name: Aigrain, S.
name: Desidera, S.
name: Grziwa, S.
name: Cabrera, J.
name: Rauer, H.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: Context. To date, stellar activity is one of the main limitations in detecting small exoplanets via transit photometry. Since this activity is enhanced in young stars, traditional filtering algorithms may severely under-perform in detecting such exoplanets. Aims.This paper aims to compare the relative performances of four algorithms developed by independent research groups specifically for the filtering of activity in the light curves (LCs) of young active stars, prior to the search for planetary transit signals: Notch and LOCoR(N&L), Young Stars Detrending(YSD), K2 Systematics Correction(K2SC) and VARLET. We include in the comparison also the two best-performing algorithms implemented in Wotan, namely the Tukey's biweight and the Huber Spline. Methods. We performed a series of injection-retrieval tests of planetary transits of different types, from Jupiter down to Earth-sized planets, moving both on circular and eccentric orbits. The tests were carried out over 100 simulated LCs of both quiet and active solar-like stars that will be observed by the ESA space telescope PLATO. Results. We found that N&L is the best choice in many cases, since it misses the lowest number of transits. However, it under-performs if the planetary orbital period closely matches the stellar rotation period, especially in the case of small planets for which the biweight and VARLET algorithms work better. For LCs with a large number of data, the combined results of YSD and Huber Spline yield the highest recovery percentage. Filtering algorithms allow us to get a very precise estimate of the orbital period and the mid-transit time of the detected planets, while the planet-to-star radius is under-estimated most of the time, especially in the case of grazing transits or eccentric orbits. A refined filtering taking into account the presence of the planet is compulsory for a proper planetary characterization.
description: 25 pages, accepted for publication by A&A
Digital Health in India: Evolution of Health Informatics
Creators: name: Dr. Dharmendra Kumar Yadav
name: D. K. Ojha
Publisher: name: Zenodo
Year: 2021

description: Digital technologies are playing an important role in the delivery of Healthcare Services. The National Digital Health Blueprint (NDHB), India provides an approach to establish foundational IT components that will enable the Health ecosystem to streamline information flows across players in the ecosystem while keeping citizens, their privacy and confidentiality of data at the forefront. A good design can help accelerate the adoption and improve delivery of health services across both the public and private sectors. Powered by artificial intelligence (AI) or machine learning (ML), digital health solutions operate at the intersection of technologies spanning biotechnology, communication and network, computer science, and robotics. Adopting digital solutions across the care pathway of prevention, diagnosis as well as cure is the smartest route for India to inch closer to the ―health for all‖ goal. The present volume is based on the contributions made by various authors on different important topics of ―Digital Health in India: Evolution of Health Informatics‖ and introduces the subject along the following topics: National Health Policy-2017, Nursing Informatics, Ayushman Bharat – Pradhan Mantri Jan Arogya Yojana (AB-PMJAY), Wearable Diagnostics, National Health Portal (NHP): An Overview, Digital India for Sustainable Development Goals, Electronic Health Records, National Health Portal, Towards New India: National Health Policy 2017, Geographic Information System (GIS) in Public Health, ANMOL- ANM Online, Challenges for Digital Health in India, Trends and Spatial Distributions of Cesarean Section Births in Northeastern States of India, Digital Health- Promises, Opportunities, Challenges and Future in India, National Digital Health Mission (NDHM), Contributing Factors of Malnutrition and Childhood Mortalities in Bihar: A Study of Scheduled Caste and Scheduled Tribe, Estimation of Birth Aversion due to Various Contraception Methods, An improved exponential type estimators for population mean to alter the nuisance effect of non-response.
Lupus Alma Disk Survey
Creators: name: Ansdell, Megan
Publisher: name: Zenodo
Year: 2016

description: We present the first unbiased ALMA survey of both dust and gas in a large sample of protoplanetary disks. We surveyed ~100 sources in the nearby (150-200 pc), young (1-2 Myr) Lupus region to constrain M_dust to ~2 M_Mars and M_gas to ~1 M_Jup. Most disks have masses < MMSN and gas-to-dust ratios < ISM. Such rapid gas depletion may explain the prevalence of super-Earths in the exoplanet population.
description: Jonathan Williams (IfA)
Nienke van der Marel (IfA)
Carlo Manara (ESA)
Anna Miotello (Leiden)
Marco Tazzari (ESO)
Michiel Hogerheijde (Leiden)
Sierk van Terwisga (Leiden)
Isa Oliveira (MCTI)
Leonardo Testi (ESO, INAF)
Ewine van Dishoeck (Leiden, MPE)
Juan Alcala (INAF)
John Carpenter (ALMA)
Greta Guidi (INAF)
Geoff Mathews (IfA)
Antonella Natta (INAF, DIAS)
Exact polynomial solutions of second order differential equations and their applications
Creators: name: Zhang, Yao-Zhong
Publisher: name: arXiv
Year: 2011
Subjects: subject: Mathematical Physics (math-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Classical Analysis and ODEs (math.CA)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We find all polynomials $Z(z)$ such that the differential equation $${X(z)\frac{d^2}{dz^2}+Y(z)\frac{d}{dz}+Z(z)}S(z)=0,$$ where $X(z), Y(z), Z(z)$ are polynomials of degree at most 4, 3, 2 respectively, has polynomial solutions $S(z)=\prod_{i=1}^n(z-z_i)$ of degree $n$ with distinct roots $z_i$. We derive a set of $n$ algebraic equations which determine these roots. We also find all polynomials $Z(z)$ which give polynomial solutions to the differential equation when the coefficients of X(z) and Y(z) are algebraically dependent. As applications to our general results, we obtain the exact (closed-form) solutions of the Schrödinger type differential equations describing: 1) Two Coulombically repelling electrons on a sphere; 2) Schrödinger equation from kink stability analysis of $ϕ^6$-type field theory; 3) Static perturbations for the non-extremal Reissner-Nordström solution; 4) Planar Dirac electron in Coulomb and magnetic fields; and 5) O(N) invariant decatic anharmonic oscillator.
description: LaTex 25 pages
Vehicle-type detection based on compressed sensing and deep learning in vehicular networks
Creators: name: (:Unkn) Unknown
Publisher: name: My University
Year: 2018
Subjects: vehicle classification
target detection
compressed sensing
convolutional neural network
saliency map

description: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. Throughout the past decade, vehicular networks have attracted a great deal of interest in various fields. The increasing number of vehicles has led to challenges in traffic regulation. Vehicle-type detection is an important research topic that has found various applications in numerous fields. Its main purpose is to extract the different features of vehicles from videos or pictures captured by traffic surveillance so as to identify the types of vehicles, and then provide reference information for traffic monitoring and control. In this paper, we propose a step-forward vehicle-detection and-classification method using a saliency map and the convolutional neural-network (CNN) technique. Specifically, compressed-sensing (CS) theory is applied to generate the saliency map to label the vehicles in an image, and the CNN scheme is then used to classify them. We applied the concept of the saliency map to search the image for target vehicles: this step is based on the use of the saliency map to minimize redundant areas. CS was used to measure the image of interest and obtain its saliency in the measurement domain. Because the data in the measurement domain are much smaller than those in the pixel domain, saliency maps can be generated at a low computation cost and faster speed. Then, based on the saliency map, we identified the target vehicles and classified them into different types using the CNN. The experimental results show that our method is able to speed up the window-calibrating stages of CNN-based image classification. Moreover, our proposed method has better overall performance in vehicle-type detection compared with other methods. It has very broad prospects for practical applications in vehicular networks.