cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Using Geographic Location-based Public Health Features in Survival Analysis
Creators: name: Seidi, Navid
name: Tripathy, Ardhendu
name: Das, Sajal K.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Time elapsed till an event of interest is often modeled using the survival analysis methodology, which estimates a survival score based on the input features. There is a resurgence of interest in developing more accurate prediction models for time-to-event prediction in personalized healthcare using modern tools such as neural networks. Higher quality features and more frequent observations improve the predictions for a patient, however, the impact of including a patient's geographic location-based public health statistics on individual predictions has not been studied. This paper proposes a complementary improvement to survival analysis models by incorporating public health statistics in the input features. We show that including geographic location-based public health information results in a statistically significant improvement in the concordance index evaluated on the Surveillance, Epidemiology, and End Results (SEER) dataset containing nationwide cancer incidence data. The improvement holds for both the standard Cox proportional hazards model and the state-of-the-art Deep Survival Machines model. Our results indicate the utility of geographic location-based public health features in survival analysis.
sj-pdf-1-wjn-10.1177_01939459231165749 – Supplemental material for Predicting Survivorship Appointment Nonattendance in a Community Cancer Center: A Machine-Learning Approach
Creators: name: Schlairet, Maura C.
name: Heddon, Mary Ann
name: Randolph, Justus
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 111099 Nursing not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-pdf-1-wjn-10.1177_01939459231165749 for Predicting Survivorship Appointment Nonattendance in a Community Cancer Center: A Machine-Learning Approach by Maura C. Schlairet, Mary Ann Heddon and Justus Randolph in Western Journal of Nursing Research
Robotic Gas Source Localization with Probabilistic Mapping and Online Dispersion Simulation
Creators: name: Ojeda, Pepe
name: Monroy, Javier
name: Gonzalez-Jimenez, Javier
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Gas source localization (GSL) with an autonomous robot is a problem with many prospective applications, from finding pipe leaks to emergency-response scenarios. In this work, we present a new method to perform GSL in realistic indoor environments, featuring obstacles and turbulent flow. Given the highly complex relationship between the source position and the measurements available to the robot (the single-point gas concentration, and the wind vector) we propose an observation model that derives from contrasting the online, real-time simulation of the gas dispersion from any candidate source localization against a gas concentration map built from sensor readings. To account for a convenient and grounded integration of both into a probabilistic estimation framework, we introduce the concept of probabilistic gas-hit maps, which provide a higher level of abstraction to model the time-dependent nature of gas dispersion. Results from both simulated and real experiments show the capabilities of our current proposal to deal with source localization in complex indoor environments.
Reinvention of family farming markets in Brazil: the novelty of digital marketing sites and platforms in times of COVID-19
Creators: name: Gazolla, Marcio
name: de Aquino, Joacir Rufino
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: The objective of this article is to analyze the process of reinvention and the characteristics of the markets of Brazilian family farming during the COVID-19 pandemic, especially the (re)connections from websites and digital platforms for marketing food and products with urban consumers. To this end, an extensive survey of information was carried out with 38 initiatives distributed geographically in all regions of the country. The work shows that the new digital marketing channels of family farming in Brazil are strongly based on collective organizations, aim to build short local and regional chains, and supply the population with fresh, agro-industrialized and ecological food with varying attributes of quality.
Additional file 1 of Together4RD position statement on collaboration between European reference networks and industry
Creators: name: Hedley, Victoria
name: Bolz-Johnson, Matt
name: Hernando, Ines
name: Kenward, Rosalind
name: Nabbout, Rima
name: Romero, Clara
name: Schaefer, Franz
name: Upadhyaya, Sheela
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1. ‘Case Study Summaries’. (Summaries generated to support creation of this Position Statement).
Sturm-Liouville Problems And Global Bounds By Small Control Sets And applications to quantum graphs
Creators: name: Egidi, Michela
name: Mugnolo, Delio
name: Seelmann, Albrecht
Publisher: name: arXiv
Year: 2023
Subjects: subject: Spectral Theory (math.SP)
subject: Analysis of PDEs (math.AP)
subject: Functional Analysis (math.FA)
subject: Optimization and Control (math.OC)
subject: FOS: Mathematics
subject: 34B45 (05C50 35P15 81Q35)

description: We develop a Logvinenko--Sereda theory for one-dimensional vector-valued self-adjoint operators. We thus deliver upper bounds on $L^2$-norms of eigenfunctions -- and linear combinations thereof -- in terms of their $L^2$- and $W^{1,2}$-norms on small control sets that are merely measurable and suitably distributed along each interval. An essential step consists in proving a Bernstein-type estimate for Laplacians with rather general vertex conditions. Our results carry over to a large class of Schrödinger operators with magnetic potentials; corresponding results are unknown in higher dimension. We illustrate our findings by discussing the implications in the theory of quantum graphs.
Reinvention of family farming markets in Brazil: the novelty of digital marketing sites and platforms in times of COVID-19
Creators: name: Gazolla, Marcio
name: Aquino, J. R. d
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: The objective of this article is to analyze the process of reinvention and the characteristics of the markets of Brazilian family farming during the COVID-19 pandemic, especially the (re)connections from websites and digital platforms for marketing food and products with urban consumers. To this end, an extensive survey of information was carried out with 38 initiatives distributed geographically in all regions of the country. The work shows that the new digital marketing channels of family farming in Brazil are strongly based on collective organizations, aim to build short local and regional chains, and supply the population with fresh, agro-industrialized and ecological food with varying attributes of quality.
Interfacing spiking VCSEL-neurons with silicon photonics weight banks towards integrated neuromorphic photonic systems
Creators: name: Hejda, Matěj
name: Doris, Eli A.
name: Bilodeau, Simon
name: Robertson, Joshua
name: Owen-Newns, Dafydd
name: Shastri, Bhavin J.
name: Prucnal, Paul R.
name: Hurtado, Antonio
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optics (physics.optics)
subject: Neural and Evolutionary Computing (cs.NE)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Spiking neurons and neural networks constitute a fundamental building block for brain-inspired computing, which is posed to benefit significantly from photonic hardware implementations. In this work, we experimentally investigate an interconnected system based on an ultrafast spiking VCSEL-neuron and a silicon photonics (SiPh) integrated micro-ring resonator (MRR) weight bank, and demonstrate two different functional arrangements of these devices. First, we show that MRR weightbanks can be used in conjuction with the spiking VCSEL-neurons to perform amplitude weighting of sub-ns optical spiking signals. Second, we show that a continuous firing VCSEL-neuron can be directly modulated using a locking signal propagated through a single weighting micro-ring, and we utilize this functionality to perform optical spike firing rate-coding via thermal tuning of the micro-ring resonator. Given the significant track record of both integrated weight banks and photonic VCSEL-neurons, we believe these results demonstrate the viability of combining these two classes of devices for use in functional neuromorphic photonic systems.
description: 9 pages, 6 figures
Impact of astrophysical effects on the dark matter mass constraint with 21cm intensity mapping
Creators: name: Murakami, Koya
name: Nishizawa, Atsushi J.
name: Nagamine, Kentaro
name: Shimizu, Ikko
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present an innovative approach to constraining the non-cold dark matter model using a convolutional neural network (CNN). We perform a suite of hydrodynamic simulations with varying dark matter particle masses and generate mock 21cm radio intensity maps to trace the dark matter distribution. Our proposed method complements the traditional power spectrum analysis. We compare our CNN classification results with those from the power spectrum of the differential brightness temperature map of 21cm radiation, and find that the CNN outperforms the latter. Moreover, we investigate the impact of baryonic physics on the dark matter model constraint, including star formation, self-shielding of HI gas, and UV background model. We find that these effects may introduce some contamination in the dark matter constraint, but they are insignificant when compared to the realistic system noise of the SKA instruments.
description: 16 pages, 15 figures
New project: Neanderthals and Anatomically Modern Humans diet based on rabbit experimentation
Creators: name: Real, Cristina
Publisher: name: Zenodo
Year: 2024

description: This work is part of the proyect "La dieta de neandertales y sapiens. Evaluación experimental del procesado de los conejos y su calidad alimenticia (LEO23-2-9659)", supported by a 2023 Leonardo Grant for Researchers and Cultural Creators, BBVA Foundation. The BBVA Foundation accepts no responsibility for the opinions, statements and contents included in the project and/or the results thereof, which are entirely the responsibility of the authors.
Additional file 2 of Together4RD position statement on collaboration between European reference networks and industry
Creators: name: Hedley, Victoria
name: Bolz-Johnson, Matt
name: Hernando, Ines
name: Kenward, Rosalind
name: Nabbout, Rima
name: Romero, Clara
name: Schaefer, Franz
name: Upadhyaya, Sheela
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 2. ‘Activities suitable for ERN and Industry Collaboration (Registries)’ (A table of data generated by a Together4RD Working Group to support creation of this Position Statement).
Localization Driven Quantum Sensing
Creators: name: Sahoo, Ayan
name: Mishra, Utkarsh
name: Rakshit, Debraj
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We show that the delocalization-localization transition in a quantum-many body (QMB) systems is a compelling quantum resource for achieving quantum-enhanced sensitivity in parameter estimation. We exploit the vulnerability of a near-transition QMB state against the parameter shift for devising efficient sensing tools. In this realm the main focus of this work is to identify, propose and analyze experimentally relevant quantum observables for precision measurement. Taking a QMB system as a Fermi lattice under quasi-periodic modulation that supports an energy-independent delocalization-localization transition, we suggest operator-based adiabatic and dynamical quantum sensors endowed with considerable quantum advantages.
description: 7 pages and 3 figures along with the supplemental material
Gravitational lensing of gravitational waves: prospects for probing intermediate-mass black holes in galaxy lenses with global minima image
Creators: name: Meena, Ashish Kumar
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: This work studies microlensing effects in strongly lensed gravitational wave (GW) signals corresponding to global minima images in galaxy-scale lenses. We find that stellar microlenses alone are unable to introduce noticeable wave effects in the global minima GW signals at strong lensing magnification $(μ)<50$ with match value between unlensed and lensed GW signals being above ${\sim}99.5\%$ in ${\sim}90\%$ of systems implying that GW signals corresponding to global minima can be treated as reference signal to determine the amount of microlensing in other strongly lensed counterparts. Since the stellar microlenses introduce negligible wave effects in global minima, they can be used to probe the intermediate-mass black hole (IMBH) lenses in the galaxy lens. We show that the presence of an IMBH lens with mass in the range $[50,10^3] {\rm M_\odot}$ such that the global minima lies within five Einstein radius of it, the microlensing effects at $f<10^2$Hz are mainly determined by the IMBH lens for $μ<50$. Assuming that a typical strong lensing magnification of 3.8 and high enough signal-to-noise ratio (in the range ${\simeq}[10, 30]$) to detect the microlensing effect in GW signals corresponding to global minima, with non-detection of IMBH-led microlensing effects in ${\simeq}15\:({\simeq}150)$ lensed GW signals, we can rule out dark matter fraction $>10\%\:(>1\%)$ made of IMBH population inside galaxy lenses with mass values $>150 {\rm M_\odot}$ with ${\sim}90\%$ confidence. Although we have specifically used IMBHs as an example, the same analysis applies to any subhalo (or compact objects) with lensing masses (i.e., the total mass inside Einstein radius) satisfying the above criterion.
description: 13 pages, 15 figures. Published in MNRAS
Interference aided finite resonant response in an undamped forced oscillator
Creators: name: Haque, Shihabul
name: Bhattacharjee, Jayanta K.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Classical Physics (physics.class-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We apply perturbative techniques to a driven undamped sinusoidal oscillator at resonance. The angular displacement, $θ$, obeys the dynamics $\Ddotθ + ω^{2} \sinθ = H\cos{ωt}$. The linearized approximation gives a divergent response (at long times) but the nonlinear terms make the response finite. We address the nonlinearity-induced finiteness in two ways by separately treating the short and long time scales. At long times, we use the traditional perturbative techniques to extract two drive dependent behaviours - one, the amplitude of oscillation scales as $(H/ω^{2})^{1/3}$ and, two, the time period of the slow mode varies as $(H/ω^{2})^{-2/3}$. For the early time behaviour, on the other hand, we devise an alternate perturbative expansion where the successive terms get larger with the order of evaluation but have alternating signs. The alternating signs (phase differences) between these terms leads to adestructive interference like effect. A careful consideration of this destructive interference like effect between successive terms leads to a finite response which describes the initial behaviour of the amplitude of the response reasonably correctly. We further note that for larger drive values, the system seems to undergo a first order transitional behaviour with a sudden jump in the largest Lyapunov exponent.
description: 14 pages, 11 figures; Added references; Adjusted figures and text; added new figures and text
Intervention Ruhrtalradweg
Creators: name: Schmücker, Dirk
Publisher: name: AIR Projektteam
Year: 2024

description: Auf dem Ruhrtalradweg wurden im Sommer 2024 dynamische Auslastungsinformationen und Empfehlungen zur Nutzung einer alternativen Radroute auf der Fähre Hardenstein ausgespielt.Es liegen vollständige Daten von 116 Tagen im Zeitraum Mai bis Oktober 2024 vor.Eine Grundlage der Interventionssteuerung war die A-priori-Einschätzung der zuständigen DMO (ruhr-Tourismus) zu stark, weniger stark und gar nicht belasteten Tagen. Diese Einschätzung war recht präzise.Ein Effekt der über den Bildschirm ausgespielten Empfehlungen lässt sich nicht zeigen. Die zusätzlich verfügbaren QR-Codes wurden nur von rund 2% der Nutzenden aufgerufen.
A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing
Creators: name: King, Nathan
name: Su, Haozhe
name: Aanjaneya, Mridul
name: Ruuth, Steven
name: Batty, Christopher
Publisher: name: arXiv
Year: 2023
Subjects: subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences

description: Many geometry processing techniques require the solution of partial differential equations (PDEs) on manifolds embedded in $\mathbb{R}^2$ or $\mathbb{R}^3$, such as curves or surfaces. Such manifold PDEs often involve boundary conditions (e.g., Dirichlet or Neumann) prescribed at points or curves on the manifold's interior or along the geometric (exterior) boundary of an open manifold. However, input manifolds can take many forms (e.g., triangle meshes, parametrizations, point clouds, implicit functions, etc.). Typically, one must generate a mesh to apply finite element-type techniques or derive specialized discretization procedures for each distinct manifold representation. We propose instead to address such problems in a unified manner through a novel extension of the closest point method (CPM) to handle interior boundary conditions. CPM solves the manifold PDE by solving a volumetric PDE defined over the Cartesian embedding space containing the manifold, and requires only a closest point representation of the manifold. Hence, CPM supports objects that are open or closed, orientable or not, and of any codimension. To enable support for interior boundary conditions we derive a method that implicitly partitions the embedding space across interior boundaries. CPM's finite difference and interpolation stencils are adapted to respect this partition while preserving second-order accuracy. Additionally, we develop an efficient sparse-grid implementation and numerical solver. We demonstrate our method's convergence behaviour on selected model PDEs and explore several geometry processing problems: diffusion curves on surfaces, geodesic distance, tangent vector field design, harmonic map construction, and reaction-diffusion textures. Our proposed approach thus offers a powerful and flexible new tool for a range of geometry processing tasks on general manifold representations.
description: 26 pages
Additional file 3 of Together4RD position statement on collaboration between European reference networks and industry
Creators: name: Hedley, Victoria
name: Bolz-Johnson, Matt
name: Hernando, Ines
name: Kenward, Rosalind
name: Nabbout, Rima
name: Romero, Clara
name: Schaefer, Franz
name: Upadhyaya, Sheela
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 3. ‘Activities suitable for ERN and Industry Collaboration (Clinical Research)’ (A table of data generated by a Together4RD Working Group to support creation of this Position Statement).
Invariant constant mean curvature tubes around a horizontal geodesic in $\mathbb{E}(κ,τ)$-spaces
Creators: name: Manzano, José M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: Primary 53A10, Secondary 53C30

description: We consider constant mean curvature surfaces (invariant by a continuous group of isometries) lying at bounded distance from a horizontal geodesic on any homogeneous $3$-manifold $\mathbb{E}(κ,τ)$ with isometry group of dimension $4$. These surfaces are called horizontal tubes. We show that they foliate $\mathbb{E}(κ,τ)$ minus one or two horizontal geodesics provided that $(1-x_0^2)κ+4τ^2\leq 0$, where $x_0\approx 0.833557$. We also describe precisely how horizontal and vertical geodesics get deformed by Daniel's sister correspondence and conclude that the family of horizontal tubes is preserved by the correspondence. These tubes are topologically tori in $\mathbb{S}^2\times\mathbb{R}$ and Berger spheres, in which case we compute their conformal type and analyze numerically their isoperimetric profiles.
description: 21 pages, 5 figures
title: Analysis of cone-ice interaction test data: final report
Creators: name: Lau, M.
Publisher: name: National Research Council of Canada. Institute for Marine Dynamics
publisherIdentifier: https://ror.org/04mte1k06
publisherIdentifierScheme: ror
Year: 1988
Subjects: subject: conical
subject: structure
subject: ice forces
subject: dynamics

description: Ice forces were measured on three downward breaking cone models in the IMD ice tank. This reports summarizes previous studies and current tests. Peak force data, parameter effects, and ice clearing processes are analyzed in detail.
Synoptic multi-variable multi-glider study
Creators: name: Palmer, Matthew
name: Williams, Charlotte
name: Horsburgh, Kevin
Publisher: name: AtlantOS
Year: 2018

description: Analysis and report of sustained multi-glider deployments, providing detailed methodology of the deployment strategy, piloting, and calibration process. The analysis will deliver methods for the synoptic interpretation of all ocean variables over multiple timescales.
Adaptive choice of near-optimal expansion points for interpolation-based structure-preserving model reduction
Creators: name: Aumann, Quirin
name: Werner, Steffen W. R.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Numerical Analysis (math.NA)
subject: Systems and Control (eess.SY)
subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 30E05, 41A30, 65D05, 93A15, 93C80

description: Interpolation-based methods are well-established and effective approaches for the efficient generation of accurate reduced-order surrogate models. Common challenges for such methods are the automatic selection of good or even optimal interpolation points and the appropriate size of the reduced-order model. An approach that addresses the first problem for linear, unstructured systems is the Iterative Rational Krylov Algorithm (IRKA), which computes optimal interpolation points through iterative updates by solving linear eigenvalue problems. However, in the case of preserving internal system structures, optimal interpolation points are unknown, and heuristics based on nonlinear eigenvalue problems result in numbers of potential interpolation points that typically exceed the reasonable size of reduced-order systems. In our work, we propose a projection-based iterative interpolation method inspired by IRKA for generally structured systems to adaptively compute near-optimal interpolation points as well as an appropriate size for the reduced-order system. Additionally, the iterative updates of the interpolation points can be chosen such that the reduced-order model provides an accurate approximation in specified frequency ranges of interest. For such applications, our new approach outperforms the established methods in terms of accuracy and computational effort. We show this in numerical examples with different structures.
description: 24 pages, 5 figures, 4 tables
sj-docx-1-saj-10.1177_08897077231186218 – Supplemental material for Associations Between Patient-Reported Experiences with Opioid Use Disorder Treatment and Unmet Treatment Needs and Discontinuation Among Virginia Medicaid Members
Creators: name: Marks, Sarah J.
name: Pham, Huyen
name: McCray, Neil
name: Palazzolo, Jennifer
name: Harrell, Ashley
name: Lowe, Jason
name: Bachireddy, Chethan
name: Guerra, Lauren
name: Cunningham, Peter J.
name: Barnes, Andrew J.
Publisher: name: SAGE Journals
Year: 2023
Subjects: Public Health and Health Services not elsewhere classified

description: Supplemental material, sj-docx-1-saj-10.1177_08897077231186218 for Associations Between Patient-Reported Experiences with Opioid Use Disorder Treatment and Unmet Treatment Needs and Discontinuation Among Virginia Medicaid Members by Sarah J. Marks, Huyen Pham, Neil McCray, Jennifer Palazzolo, Ashley Harrell, Jason Lowe, Chethan Bachireddy, Lauren Guerra, Peter J. Cunningham and Andrew J. Barnes in Substance Abuse
Additional file 4 of Together4RD position statement on collaboration between European reference networks and industry
Creators: name: Hedley, Victoria
name: Bolz-Johnson, Matt
name: Hernando, Ines
name: Kenward, Rosalind
name: Nabbout, Rima
name: Romero, Clara
name: Schaefer, Franz
name: Upadhyaya, Sheela
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 4. ‘Overview of other initiatives complementing the work of Together4RD’ (Summary illustrating how the mission of Together4RD fits into a broader ecosystem of projects and initiatives working towards a more collaborative ERN-Industry ecosystem).
Fermionic matter-wave quantum optics with cold-atom impurity models
Creators: name: Windt, Bennet
name: Bello, Miguel
name: Demler, Eugene
name: Cirac, J. Ignacio
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Motivated by recent cold-atom realisations of matter-wave waveguide QED, we study simple fermionic impurity models and discuss fermionic analogues of several paradigmatic phenomena in quantum optics, including formation of non-trivial bound states, (matter-wave) emission dynamics, and collective dissipation. For a single impurity, we highlight interesting ground-state features, focusing in particular on real-space signatures of an emergent length scale associated with an impurity screening cloud. We also present novel non-Markovian many-body effects in the quench dynamics of single- and multiple-impurity systems, including fractional decay around the Fermi level and multi-excitation population trapping due to bound states in the continuum.
description: 24 pages, 7 figures; linked public code repository
Non-Linearity-Free prediction of the growth-rate $fσ_8$ using Convolutional Neural Networks
Creators: name: Murakami, Koya
name: Ocampo, Indira
name: Nesseris, Savvas
name: Nishizawa, Atsushi J.
name: Kuroyanagi, Sachiko
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The growth-rate $fσ_8(z)$ of the large-scale structure of the Universe is an important dynamic probe of gravity that can be used to test for deviations from General Relativity. However, for galaxy surveys to extract this key quantity from cosmological observations, two important assumptions have to be made: i) a fiducial cosmological model, typically taken to be the cosmological constant and cold dark matter ($Λ$CDM) model and ii) the modeling of the observed power spectrum, especially at non-linear scales, which is particularly dangerous as most models used in the literature are phenomenological at best. In this work, we propose a novel approach involving convolutional neural networks (CNNs), trained on the Quijote N-body simulations, to predict $fσ_8(z)$ directly and without assuming a model for the non-linear part of the power spectrum, thus avoiding the second of the assumptions above. This could serve as an initial step towards the future development of a method for parameter inference in Stage IV surveys. We find that the predictions for the value of $fσ_8$ from the CNN are in excellent agreement with the fiducial values since they outperform a maximum likelihood analysis and the CNN trained on the power spectrum. Therefore, we find that the CNN reconstructions provide a viable alternative to avoid the theoretical modeling of the non-linearities at small scales when extracting the growth rate.
description: 15 pages, 5 figures, 5 tables
Observations on LLMs for Telecom Domain: Capabilities and Limitations
Creators: name: Soman, Sumit
name: G, Ranjani H
Publisher: name: arXiv
Year: 2023
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: 68T50

description: The landscape for building conversational interfaces (chatbots) has witnessed a paradigm shift with recent developments in generative Artificial Intelligence (AI) based Large Language Models (LLMs), such as ChatGPT by OpenAI (GPT3.5 and GPT4), Google's Bard, Large Language Model Meta AI (LLaMA), among others. In this paper, we analyze capabilities and limitations of incorporating such models in conversational interfaces for the telecommunication domain, specifically for enterprise wireless products and services. Using Cradlepoint's publicly available data for our experiments, we present a comparative analysis of the responses from such models for multiple use-cases including domain adaptation for terminology and product taxonomy, context continuity, robustness to input perturbations and errors. We believe this evaluation would provide useful insights to data scientists engaged in building customized conversational interfaces for domain-specific requirements.
description: 11 pages, 2 figures, 8 tables
Guía práctica: Abriendo puertas hacia la transdisciplina en la Universidad Mayor
Creators: name: Universidad Mayor
Publisher: name: Zenodo
Year: 2024
Subjects: Transdiciplina
Interdisciplina
Investigación
Creación
Innovación
Vinculación con el medio

description: Este documento de trabajo explora la importancia de la interdisciplina y la transdisciplina en el ámbito académico, destacando sus definiciones, impactos y metodologías de implementación en la Universidad Mayor. A través de un recorrido conceptual y práctico, el documento aborda cómo la integración de perspectivas inter y transdisciplinarias fortalece los vínculos con actores externos y potencia la comunicación científica. Se presentan enfoques de investigación como la Ciencia Ciudadana y la Investigación-acción participativa (IAP), además de un modelo de Laboratorio transdisciplinario diseñado para conectar las Ciencias, las Artes y la Comunicación. También se incluye una caja de herramientas con opciones de financiamiento, metodologías, lecturas recomendadas y ejemplos de proyectos que integran estas perspectivas. Este recurso es una guía para académicos y estudiantes interesados en incorporar enfoques colaborativos y transdisciplinarios en sus investigaciones, promoviendo así una educación superior más conectada y relevante para la sociedad.
sj-docx-3-dhj-10.1177_20552076231208553 - Supplemental material for A WeChat mini-program-based approach to smoking cessation behavioral interventions: Development and preliminary evaluation in a single-arm trial
Creators: name: Chu, Shuilian
name: Feng, Lin
name: Jing, Hang
name: Zhang, Di
name: Tong, Zhaohui
name: Liang, Lirong
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: Health and Community Services
subject: Cardiology
subject: Endocrinology
subject: Geriatrics and Gerontology
subject: Nursing not elsewhere classified
subject: Oncology and Carcinogenesis not elsewhere classified
subject: Aged Health Care
subject: Public Health and Health Services not elsewhere classified
subject: Engineering not elsewhere classified
subject: Anthropology
subject: FOS: Sociology
subject: Cultural Studies not elsewhere classified
subject: Information and Computing Sciences not elsewhere classified
subject: Organisation and Management Theory
subject: Science Policy
subject: Social Policy
subject: Sociology

description: Supplemental material, sj-docx-3-dhj-10.1177_20552076231208553 for A WeChat mini-program-based approach to smoking cessation behavioral interventions: Development and preliminary evaluation
in a single-arm trial by Shuilian Chu, Lin Feng, Hang Jing, Di Zhang, Zhaohui Tong and Lirong Liang in DIGITAL HEALTH
Additional file 6 of Evaluation of somatic copy number variation detection by NGS technologies and bioinformatics tools on a hyper-diploid cancer genome
Creators: name: Masood, Daniall
name: Ren, Luyao
name: Nguyen, Cu
name: Brundu, Francesco G.
name: Zheng, Lily
name: Zhao, Yongmei
name: Jaeger, Erich
name: Li, Yong
name: Cha, Seong Won
name: Halpern, Aaron
name: Truong, Sean
name: Virata, Michael
name: Yan, Chunhua
name: Chen, Qingrong
name: Pang, Andy
name: Alberto, Reyes
name: Xiao, Chunlin
name: Yang, Zhaowei
name: Chen, Wanqiu
name: Wang, Charles
name: Cross, Frank
name: Catreux, Severine
name: Shi, Leming
name: Beaver, Julia A.
name: Xiao, Wenming
name: Meerzaman, Daoud M.
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 6. Review history.
title: Report of a group set up to review wavemakers and wavemaking technology in OCRE facilities
Creators: name: National Research Council Of Canada. Ocean, Coastal And River Engineering. Wavemaker Working Group
Publisher: name: National Research Council of Canada. Ocean, Coastal and River Engineering
publisherIdentifier: https://ror.org/04mte1k06
publisherIdentifierScheme: ror
Year: 2014
Subjects: subject: wavemaker
subject: wave generation
subject: waves

description: This report presents the results of a review of the wavemakers and wavemaking technology at OCRE. The review was carried out between April 2013 and February 2014 by a group of eight people with different responsibilities who shared an interest in waves and wave generation. Issues addressed by the Group included what needed to be done to ensure the wavemakers will continue to operate reliably and to meet the needs of clients in the future. The review considered wavemaking hardware, control systems and software for wave generation and analysis of the results. The need for expertise in the field was also included. Problems or limitations to capabilities in these areas were identified, together with the impact or importance of the problem, options for solutions and pros and cons for each option. The steps required to resolve outstanding issues were documented and where possible the preferred option identified The review led to the following recommendations: Replace the wavemaker in the Towing Tank; Address the rustout issues in the MWB; Replace the actuator rod end bearings in the drive system in the OEB; Replace the hydraulic drives with electric drives and simplify the linkages in the OEB; Bring the control systems for all OCRE wave generation facilities to the same high level; Acquire software for wave generation to include 2nd order waves and active wave absorption; Fit wave probes to each segment in the OEB to enable active wave absorption; Create a new position (or re-assign an existing staff member) to provide direct support to the operation of wavemakers in the facilities.
Business Model Scalability in the Cloud Business Context
Creators: name: Juntunen, Marko
name: Ahokangas, Petri
name: Nguyen, Hang
Publisher: name: Journal of Business Models
Year: 2018

description: Purpose: The paper explores the antecedents to business model scalability.


Design/Methodology/Approach: The paper is conceptual and exploratory in nature and builds on the practice / action learning approach.


Findings: The paper presents an action research based framework for approaching and understanding the change needs of business models and business model scalability as practices. These practices are based on a literature review of business opportunities, scalability and market dynamics.


Practical Implications: From a managerial and entrepreneurial perspective, the findings of the paper highlight the role and dynamism of the business environment and the continuous assessment of the business environ- ment in evaluating business opportunity and changes in opportunity.


Originality/Value: The paper proposes a novel framework for business model synchronization against busi- ness opportunity, and vice versa. It also connects the business model to the market and hence to the market value of the firm.
description: Journal of Business Models, Vol 6 No 1 (2018): Journal of Business Models
sj-docx-4-dhj-10.1177_20552076231208553 - Supplemental material for A WeChat mini-program-based approach to smoking cessation behavioral interventions: Development and preliminary evaluation in a single-arm trial
Creators: name: Chu, Shuilian
name: Feng, Lin
name: Jing, Hang
name: Zhang, Di
name: Tong, Zhaohui
name: Liang, Lirong
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: Health and Community Services
subject: Cardiology
subject: Endocrinology
subject: Geriatrics and Gerontology
subject: Nursing not elsewhere classified
subject: Oncology and Carcinogenesis not elsewhere classified
subject: Aged Health Care
subject: Public Health and Health Services not elsewhere classified
subject: Engineering not elsewhere classified
subject: Anthropology
subject: FOS: Sociology
subject: Cultural Studies not elsewhere classified
subject: Information and Computing Sciences not elsewhere classified
subject: Organisation and Management Theory
subject: Science Policy
subject: Social Policy
subject: Sociology

description: Supplemental material, sj-docx-4-dhj-10.1177_20552076231208553 for A WeChat mini-program-based approach to smoking cessation behavioral interventions: Development and preliminary evaluation
in a single-arm trial by Shuilian Chu, Lin Feng, Hang Jing, Di Zhang, Zhaohui Tong and Lirong Liang in DIGITAL HEALTH
Non-perturbative dynamics of flat-band systems with correlated disorder
Creators: name: Li, Qi
name: Liu, Junfeng
name: Liu, Ke
name: Hu, Zi-Xiang
name: Li, Zhou
Publisher: name: arXiv
Year: 2023
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Computational Physics (physics.comp-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We develop a numerical method for the time evolution of Gaussian wave packets on flat-band lattices in the presence of correlated disorder. To achieve this, we introduce a method to generate random on-site energies with prescribed correlations. We verify this method with a one-dimensional (1D) cross-stitch model, and find good agreement with analytical results obtained from the disorder-dressed evolution equations. This allows us to reproduce previous findings, that disorder can mobilize 1D flat-band states which would otherwise remain localized. As explained by the corresponding disorder-dressed evolution equations, such mobilization requires an asymmetric disorder-induced coupling to dispersive bands, a condition that is generically not fulfilled when the flat-band is resonant with the dispersive bands at a Dirac point-like crossing. We exemplify this with the 1D Lieb lattice. While analytical expressions are not available for the two-dimensional (2D) system due to its complexity, we extend the numerical method to the 2D $α-T_3$ model, and find that the initial flat-band wave packet preserves its localization when $α= 0$, regardless of disorder and intersections. However, when $α\neq 0$, the wave packet shifts in real space. We interpret this as a Berry phase controlled, disorder-induced wave-packet mobilization. In addition, we present density functional theory calculations of candidate materials, specifically $\rm Hg_{1-x}Cd_xTe$. The flat-band emerges near the $Γ$ point ($\bf{k}=$0) in the Brillouin zone.
description: Accepted on Chin. Phys. B
Additional file 1 of One Velocity Loss Threshold Does Not Fit All: Consideration of Sex, Training Status, History, and Personality Traits When Monitoring and Controlling Fatigue During Resistance Training
Creators: name: Jukic, Ivan
name: Prnjak, Katarina
name: McGuigan, Michael R.
name: Helms, Eric R.
Publisher: name: figshare
Year: 2023
Subjects: subject: Neuroscience
subject: Sociology
subject: FOS: Sociology
subject: Science Policy

description: Additional file 1: Details on the questions related to training experience and practices.
title: Investigating the role of Streptococcus pneumoniae serotype 1 virulence factors in nasopharyngeal carriage and invasive disease
Creators: name: Jacques, LC
Publisher: name: University of Liverpool Repository
Year: 2018

description: Streptococcus pneumoniae serotype 1 displays some unusual epidemiological, clinical and microbiological characteristics. In Africa, serotype 1 is the leading serotype causing invasive pneumococcal diseases, including, pneumonia, meningitis and sepsis. Unusually, serotype 1 is rarely detected during routine nasopharyngeal swabbing, even in areas of high disease burden. S. pneumoniae are natural commensals of the nasopharynx and colonisation of this area has been described as a pre-requisite for invasive disease, hence little is understood about why serotype 1 carriage rates are so low, whilst burden of disease is so high. This body of work sought to identify key virulence factors associated with serotype 1 disease pathogenesis and the effect these have on nasopharyngeal colonisation and progression from carriage to invasive disease. Murine models of nasopharyngeal carriage, pneumonia and sepsis were used to study serotype 1 pathogenesis and identified the bacterial toxin pneumolysin, and autolysin as key virulence factors associated with disease pathogenesis. In addition, the influence of serotype 1 infection on the host immune responses in murine models of pneumococcal infection was also addressed. Current pneumococcal vaccines (PCV13) include serotype 1 however, the impact of this vaccination in reducing serotype 1 disease burden is still unknown. Findings here suggest that pneumolysin, not bacterial capsule should be a target for strong consideration in future vaccine design. New therapeutics should also be designed to target pneumolysin as it is in the main driver of pathogenesis in the context of pneumococcal disease, particularly in serotype 1 infection.
GPT Models in Construction Industry: Opportunities, Limitations, and a Use Case Validation
Creators: name: Saka, Abdullahi
name: Taiwo, Ridwan
name: Saka, Nurudeen
name: Salami, Babatunde
name: Ajayi, Saheed
name: Akande, Kabiru
name: Kazemi, Hadi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Large Language Models(LLMs) trained on large data sets came into prominence in 2018 after Google introduced BERT. Subsequently, different LLMs such as GPT models from OpenAI have been released. These models perform well on diverse tasks and have been gaining widespread applications in fields such as business and education. However, little is known about the opportunities and challenges of using LLMs in the construction industry. Thus, this study aims to assess GPT models in the construction industry. A critical review, expert discussion and case study validation are employed to achieve the study objectives. The findings revealed opportunities for GPT models throughout the project lifecycle. The challenges of leveraging GPT models are highlighted and a use case prototype is developed for materials selection and optimization. The findings of the study would be of benefit to researchers, practitioners and stakeholders, as it presents research vistas for LLMs in the construction industry.
description: 58 pages, 20 figures
A duality for prescribed mean curvature graphs in Riemannian and Lorentzian Killing submersions
Creators: name: Del Prete, Andrea
name: Lee, Hojoo
name: Manzano, José M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: Primary 53A10, Secondary 53C50

description: We develop a conformal duality for spacelike graphs in Riemannian and Lorentzian three-manifolds that admit a Riemannian submersion over a Riemannian surface whose fibers are the integral curves of a Killing vector field, which is timelike in the Lorentzian case. The duality swaps mean curvature and bundle curvature and sends the length of the Killing vector field to its reciprocal while keeping invariant the base surface. We obtain two consequences of this result. On the one hand, we find entire graphs in Lorentz-Minkowski space $\mathbb{L}^3$ with prescribed mean curvature a bounded function $H\in C^\infty(\mathbb{R}^2)$ with bounded gradient. On the other hand, we obtain conditions for existence and non existence of entire graphs which are related to a notion of critical mean curvature.
description: 20 pages, 2 figures. Some references updated in version 2
Generalized Bayesian MARS: Tools for Emulating Stochastic Computer Models
Creators: name: Rumsey, Kellin
name: Francom, Devin
name: Shen, Andy
Publisher: name: arXiv
Year: 2023
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: The multivariate adaptive regression spline (MARS) approach of Friedman (1991) and its Bayesian counterpart (Francom et al. 2018) are effective approaches for the emulation of computer models. The traditional assumption of Gaussian errors limits the usefulness of MARS, and many popular alternatives, when dealing with stochastic computer models. We propose a generalized Bayesian MARS (GBMARS) framework which admits the broad class of generalized hyperbolic distributions as the induced likelihood function. This allows us to develop tools for the emulation of stochastic simulators which are parsimonious, scalable, interpretable and require minimal tuning, while providing powerful predictive and uncertainty quantification capabilities. GBMARS is capable of robust regression with t distributions, quantile regression with asymmetric Laplace distributions and a general form of "Normal-Wald" regression in which the shape of the error distribution and the structure of the mean function are learned simultaneously. We demonstrate the effectiveness of GBMARS on various stochastic computer models and we show that it compares favorably to several popular alternatives.