cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Queen of Diamonds: Edith Houghton and the Rise and Fall of Women's Baseball
Creators: name: Green, Richard Lawrence
Publisher: name: Digital Repository at the University of Maryland
Year: 2016
Subjects: subject: History
subject: Baseball
subject: Edith Houghton
subject: Softball
subject: Women

description: In the 1920s, women’s semi-professional baseball teams known as Bloomer Girls were a popular form of entertainment throughout the United States.  One of the best female players of this era was Edith Houghton.  Houghton had a successful baseball career and even travelled to Japan in 1925 to play baseball on a female team known as the Philadelphia Bobbies.  By the 1930s, however, women were largely expected to play softball.  Despite a brief revival of women’s baseball during the 1940s, the idea that women play softball and men play baseball has largely persisted.  An analysis of Houghton’s career reveals the sociological factors that allowed women to play baseball in the 1920s and forced women into softball during the 1930s.  The presence and rejection of female baseball players parallels broader changes in American gender relations, and illustrates the socially constructed nature of sport
Interpretable AI-Driven Discovery of Terrain-Precipitation Relationships for Enhanced Climate Insights
Creators: name: Xu, Hao
name: Chen, Yuntian
name: Zeng, Zhenzhong
name: Li, Nina
name: Li, Jian
name: Zhang, Dongxiao
Publisher: name: arXiv
Year: 2023
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: Machine Learning (cs.LG)
subject: Geophysics (physics.geo-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Despite the remarkable strides made by AI-driven models in modern precipitation forecasting, these black-box models cannot inherently deepen the comprehension of underlying mechanisms. To address this limitation, we propose an AI-driven knowledge discovery framework known as genetic algorithm-geographic weighted regression (GA-GWR). Our approach seeks to unveil the explicit equations that govern the intricate relationship between precipitation patterns and terrain characteristics in regions marked by complex terrain. Through this AI-driven knowledge discovery, we uncover previously undisclosed explicit equations that shed light on the connection between terrain features and precipitation patterns. These equations demonstrate remarkable accuracy when applied to precipitation data, outperforming conventional empirical models. Notably, our research reveals that the parameters within these equations are dynamic, adapting to evolving climate patterns. Ultimately, the unveiled equations have practical applications, particularly in fine-scale downscaling for precipitation predictions using low-resolution future climate data. This capability offers invaluable insights into the anticipated changes in precipitation patterns across diverse terrains under future climate scenarios, which enhances our ability to address the challenges posed by contemporary climate science.
Data and code: Investigating binary granular mixing in a rotating drum using ultrafast X-ray computed tomography
Creators: name: Papapetrou, Theodoros Nestor
name: Bieberle, Martina
name: Barthel, Frank
name: Hampel, Uwe
name: Lecrivain, Gregory
Publisher: name: Rodare
Year: 2024
Subjects: granular mixing
rotating drum
ultrafast X-ray computed tomography
image processing

description: Original video camera data, and time-averaged, beam-hardening-corrected, drift-corrected dynamic and static UFXCT image data used in the associated publication; code used for the final processing; and the final processed data. More details are found in the publication and in the info in the respective folders.
Additional file 1 of Pelvic girdle pain in pregnancy and early postpartum – prevalence and risk factors in a multi-ethnic cohort
Creators: name: Robinson, Hilde Stendal
name: Vøllestad, Nina K.
name: Bennetter, Karin Elisabeth
name: Waage, Christin W.
name: Jenum, Anne Karen
name: Richardsen, Kåre Rønn
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Cell Biology
Pharmacology
Biotechnology
Mathematical Sciences not elsewhere classified
Cancer
Mental Health

description: Additional file 1: Table S1. Overview over classification of countries into group used in the analyses.
Toward the End-To-End Optimization of the SWGO Array Layout
Creators: name: Dorigo, Tommaso
name: Aehle, Max
name: Arcaro, Cornelia
name: Awais, Muhammad
name: Bergamaschi, Fabiola
name: Donini, Julien
name: Doro, Michele
name: Gauger, Nicolas R.
name: Izbicki, Rafael
name: Kieseler, Jan
name: Lee, Ann
name: Masserano, Luca
name: Nardi, Federico
name: Rajesh, Raaghav
name: Vergara, Luis Recabarren
name: Shen, Alexander
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: In this document we consider the problem of finding the optimal layout for the array of water Cherenkov detectors proposed by the SWGO collaboration to study very-high-energy gamma rays in the southern hemisphere. We develop a continuous model of the secondary particles produced by atmospheric showers initiated by high-energy gamma rays and protons, and build an optimization pipeline capable of identifying the most promising configuration of the detector elements. The pipeline employs stochastic gradient descent to maximize a utility function aligned with the scientific goals of the experiment. We demonstrate how the software is capable of finding the global maximum in the high-dimensional parameter space, and discuss its performance and limitations.
description: 40 pages, 23 figures. Accepted for publication in Nuclear Physics B
Fiber-taper collected emission from NV centers in high-$Q/V$ diamond microdisks
Creators: name: Masuda, Tamiko
name: Hadden, J. P. E.
name: Lake, David P.
name: Mitchell, Matthew
name: Flågan, Sigurd
name: Barclay, Paul E.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Fiber-coupled microdisks are a promising platform for enhancing the spontaneous emission from color centers in diamond. The measured cavity-enhanced emission from the microdisk is governed by the effective volume ($V$) of each cavity mode, the cavity quality factor ($Q$), and the coupling between the microdisk and the fiber. Here we observe photoluminescence from an ensemble of nitrogen-vacancy centers into high $Q/V$ microdisk modes, which when combined with coherent spectroscopy of the microdisk modes, allows us to elucidate the relative contributions of these factors. The broad emission spectrum acts as an internal light source facilitating mode identification over several cavity free spectral ranges. Analysis of the fiber-taper collected microdisk emission reveals spectral filtering both by the cavity and the fiber-taper, the latter of which we find preferentially couples to higher-order microdisk modes. Coherent mode spectroscopy is used to measure $Q\sim 1\times10^{5}$ -- the highest reported values for diamond microcavities operating at visible wavelengths. With realistic optimization of the microdisk dimensions, we predict that Purcell factors of $\sim 50$ are within reach.
description: 15 pages, 4 figures
title: Zukünftige Techniken für eine computergestützte Planungspraxis - applikative Tools für die architektonische Bestandserfassung
Creators: name: Donath, Dirk
name: Petzold, Frank
Publisher: name: Bauhaus-Universität Weimar
Year: 1997
Subjects: subject: Bauaufnahme
subject: Bauplanung
subject: Computerunterstütztes Verfahren
subject: 620

description: Der Beitrag beschreibt die Entwicklung eines Softwaresystems zur strukturierten Erfassung und Verwaltung bestehender Gebäude in der Architektur. Die Erfassung erfolgt durch die Aufnahme von geometrischen Daten und Sachdaten in unterschiedlichen Abstraktionsstufen unter Einbeziehung einer vorangehenden Dekomposition. Basis für die Entwicklung eines solchen Systems ist die Analyse und Systematik der Erfassungstechniken, -abläufe und der Gegenstand der architektonischen Bestandsaufnahme. Parallel hierzu erfolgt die Bewertung und Nutzung aktueller Techniken und Werkzeuge der applikativen Informatik. Schwerpunkte der Forschungsarbeit sind die Ableitung einer allgemeinen Gebäude- und Bauteilstruktur, die Einbeziehung aktueller informationstechnischer Verfahren und Werkzeuge und die Entwicklung eines entsprechenden Experimentalsystems. Auf eine Auswahl softwaretechnischer Entwicklungen wird näher eingegangen (objektspezifische Eigenschaften, flexible Geometrieerfassung und Benutzeroberflächen).
description: Internationales Kolloquium über Anwendungen der Informatik und der Mathematik in Architektur und Bauwesen: 26. Februar bis 01. März 1997, Bauhaus-Universität Weimar
Additional file 1 of The effect of an acute aspirin challenge on intestinal permeability in healthy adults with and without prophylactic probiotic consumption: a double-blind, placebo-controlled, randomized trial
Creators: name: Judkins, Taylor C.
name: Solch-Ottaiano, Rebecca J.
name: Ceretto-Clark, Brendan
name: Nieves, Carmelo
name: Colee, James
name: Wang, Yu
name: Tompkins, Thomas A.
name: Caballero-Calero, Sara E.
name: Langkamp-Henken, Bobbi
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Physiology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: Additional file 1: Supplemental Table 1. Urinary output of sugar probes 5 and 24 hours after consuming the sugar cocktail.
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs
Creators: name: Werner, Julia
name: Gerum, Christoph
name: Reiber, Moritz
name: Nick, Jörg
name: Bringmann, Oliver
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This paper presents a method to efficiently classify the gastroenterologic section of images derived from Video Capsule Endoscopy (VCE) studies by exploring the combination of a Convolutional Neural Network (CNN) for classification with the time-series analysis properties of a Hidden Markov Model (HMM). It is demonstrated that successive time-series analysis identifies and corrects errors in the CNN output. Our approach achieves an accuracy of $98.04\%$ on the Rhode Island (RI) Gastroenterology dataset. This allows for precise localization within the gastrointestinal (GI) tract while requiring only approximately 1M parameters and thus, provides a method suitable for low power devices
description: Accepted at MLMI 2023
Exact nonlinear state estimation
Creators: name: Chipilski, Hristo G.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Methodology (stat.ME)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Machine Learning (cs.LG)
subject: Dynamical Systems (math.DS)
subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: The majority of data assimilation (DA) methods in the geosciences are based on Gaussian assumptions. While these assumptions facilitate efficient algorithms, they cause analysis biases and subsequent forecast degradations. Non-parametric, particle-based DA algorithms have superior accuracy, but their application to high-dimensional models still poses operational challenges. Drawing inspiration from recent advances in the field of generative artificial intelligence (AI), this article introduces a new nonlinear estimation theory which attempts to bridge the existing gap in DA methodology. Specifically, a Conjugate Transform Filter (CTF) is derived and shown to generalize the celebrated Kalman filter to arbitrarily non-Gaussian distributions. The new filter has several desirable properties, such as its ability to preserve statistical relationships in the prior state and convergence to highly accurate observations. An ensemble approximation of the new theory (ECTF) is also presented and validated using idealized statistical experiments that feature bounded quantities with non-Gaussian distributions, a prevalent challenge in Earth system models. Results from these experiments indicate that the greatest benefits from ECTF occur when observation errors are small relative to the forecast uncertainty and when state variables exhibit strong nonlinear dependencies. Ultimately, the new filtering theory offers exciting avenues for improving conventional DA algorithms through their principled integration with AI techniques.
Additional file 1 of Performance in Kahoot! activities as predictive of exam performance
Creators: name: Garza, MC
name: Olivan, S
name: Monleón, E
name: Cisneros, Ana Isabel
name: García-Barrios, A
name: Ochoa, I
name: Whyte, J
name: Lamiquiz-Moneo, I
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy

description: Supplementary Material 1
Additional file 1 of End-ischemic hypothermic oxygenated perfusion for extended criteria donors in liver transplantation: a multicenter, randomized controlled trial—HOPExt
Creators: name: Pradat, Pierre
name: Pantel, Solene
name: Maynard, Marianne
name: Lalande, Laure
name: Thevenon, Sylvie
name: Adam, Rene
name: Allard, Marc-Antoine
name: Robin, Fabien
name: Rayar, Michel
name: Boleslawski, Emmanuel
name: Scatton, Olivier
name: Chirica, Mircea
name: Faitot, François
name: Bachellier, Philippe
name: Soubrane, Olivier
name: Mohkam, Kayvan
name: Mabrut, Jean-Yves
name: Lesurtel, Mickaël
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1. List of the investigators and centers participating in the HOPExt study.
Gromov-Witten/Hilbert versus AdS3/CFT2 Correspondence
Creators: name: Lerche, Wolfgang
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We consider the boundary dual of AdS3xS3xK3 for NS5-flux Q5=1, which is described by a sigma model with target space given by the d-fold symmetric product of K3. Building on results in algebraic geometry, we address the problem of deforming it away from the orbifold point from the viewpoint of topological strings. We propose how the 't Hooft expansion can be geometrized in terms of Gromov-Witten invariants and, in favorable settings, how it can be summed up to all orders in closed form. We consider an explicit example in detail for which we discuss the genus expansion around the orbifold point, as well as the divergence in the strong coupling regime. We find that within the domain of convergence, scale separation does not occur. However, in order for the mathematical framework to be applicable in the first place, we need to consider "reduced" Gromov-Witten invariants that fit, as we argue, naturally to topologically twisted N=4 strings. There are some caveats and thus to what extent this toy model captures the physics of strings on AdS3xS3xK3 remains to be seen.
description: 39 pages, 4 figures; v4: typos corrected and minimal clarifications added
Integrated Freeway Traffic Control Using Q-Learning with Adjacent Arterial Traffic Considerations
Creators: name: Yuan, Tianchen
name: Ioannou, Petros A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Numerous studies have shown the effectiveness of intelligent transportation system techniques such as variable speed limit (VSL), lane change (LC) control, and ramp metering (RM) in freeway traffic flow control. The integration of these techniques has the potential to further enhance the traffic operation efficiency of both freeway and adjacent arterial networks. In this regard, we propose a freeway traffic control (FTC) strategy that coordinates VSL, LC, RM actions using a Q-learning (QL) framework which takes into account arterial traffic characteristics. The signal timing and demands of adjacent arterial intersections are incorporated as state variables of the FTC agent. The FTC agent is initially trained offline using a single-section road network, and subsequently deployed online in a connected freeway and arterial simulation network for continuous learning. The arterial network is assumed to be regulated by a traffic-responsive signal control strategy based on a cycle length model. Microscopic simulations demonstrate that the fully-trained FTC agent provides significant reductions in freeway travel time and the number of stops in scenarios with traffic congestion. It clearly outperforms an uncoordinated FTC and a decentralized feedback control strategy. Even though the FTC agent does not control the arterial traffic signals, it leads to shorter average queue lengths at arterial intersections by taking into account the arterial traffic conditions in controlling freeway traffic. These results motivate a future research where the QL framework will also include the control of arterial traffic signals.
description: 12 pages, 9 figures, 5 tables
Additional file 3 of End-ischemic hypothermic oxygenated perfusion for extended criteria donors in liver transplantation: a multicenter, randomized controlled trial—HOPExt
Creators: name: Pradat, Pierre
name: Pantel, Solene
name: Maynard, Marianne
name: Lalande, Laure
name: Thevenon, Sylvie
name: Adam, Rene
name: Allard, Marc-Antoine
name: Robin, Fabien
name: Rayar, Michel
name: Boleslawski, Emmanuel
name: Scatton, Olivier
name: Chirica, Mircea
name: Faitot, François
name: Bachellier, Philippe
name: Soubrane, Olivier
name: Mohkam, Kayvan
name: Mabrut, Jean-Yves
name: Lesurtel, Mickaël
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 3. Informed consent form.
Nature of the photo-induced metallic state in monoclinic VO$_2$
Creators: name: Chen, Jiyu
name: Petocchi, Francesco
name: Christiansson, Viktor
name: Werner, Philipp
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The metal-insulator transition of VO$_2$, which in equilibrium is associated with a structural phase transition, has been intensively studied for decades. In particular, it is challenging to disentangle the role of Mott physics from dimerization effects in the insulating phase. Femtosecond time-resolved experiments showed that optical excitations can induce a transient metallic state in the dimerized phase, which is distinct from the known equilibrium phases. In this study, we combine non-equilibrium cluster dynamical mean-field theory with realistic first principles modeling to clarify the nature of this laser-induced metallic state. We show that the doublon-holon production by laser pulses with polarization along the V-V dimers and the subsequent inter-orbital reshuffling of the photo-carriers leads to a population of orbital-mixed states and the filling of the gap. The photo-induced metal state is qualitatively similar to a hot electronic state in the dimerized structure, and does not involve a collapse of the Mott gap.
INI915507 Supplemental Material1 - Supplemental material for A genome-wide CRISPR screen identifies regulation factors of the TLR3 signalling pathway
Creators: name: Zablocki-Thomas, Laurent
name: Menzies, Sam A
name: Lehner, Paul J
name: Manel, Nicolas
name: Benaroch, Philippe
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110306 Endocrinology
subject: FOS: Clinical medicine

description: Supplemental material, INI915507 Supplemental Material1 for A genome-wide CRISPR screen identifies regulation factors of the TLR3 signalling pathway by Laurent Zablocki-Thomas, Sam A Menzies, Paul J Lehner, Nicolas Manel and Philippe Benaroch in Innate Immunity
Additional file 1 of Identification of changes in bile composition in pancreaticobiliary reflux based on liquid chromatography/mass spectrometry metabolomics
Creators: name: Da, Xuanbo
name: Xiang, Yukai
name: Hu, Hai
name: Kong, Xiangyu
name: Qiu, Chen
name: Jiang, Zhaoyan
name: Zhao, Gang
name: Cai, Jingli
name: Huang, Anhua
name: Zhang, Cheng
name: He, Chuanqi
name: Lv, Beining
name: Zhang, Honglei
name: Yang, Yulong
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 1
Systematic Reanalysis of KMTNet microlensing events, Paper I: Updates of the Photometry Pipeline and a New Planet Candidate
Creators: name: Yang, Hongjing
name: Yee, Jennifer C.
name: Hwang, Kyu-Ha
name: Qian, Qiyue
name: Bond, Ian A.
name: Gould, Andrew
name: Hu, Zhecheng
name: Zhang, Jiyuan
name: Mao, Shude
name: Zhu, Wei
name: Albrow, Michael D.
name: Chung, Sun-Ju
name: Han, Cheongho
name: Jung, Youn Kil
name: Ryu, Yoon-Hyun
name: Shin, In-Gu
name: Shvartzvald, Yossi
name: Cha, Sang-Mok
name: Kim, Dong-Jin
name: Kim, Hyoun-Woo
name: Kim, Seung-Lee
name: Lee, Chung-Uk
name: Lee, Dong-Joo
name: Lee, Yongseok
name: Park, Byeong-Gon
name: Pogge, Richard W.
name: Zang, Weicheng
name: Abe, Fumio
name: Barry, Richard
name: Bennett, David P.
name: Bhattacharya, Aparna
name: Donachie, Martin
name: Fujii, Hirosane
name: Fukui, Akihiko
name: Hirao, Yuki
name: Itow, Yoshitaka
name: Kirikawa, Rintaro
name: Kondo, Iona
name: Koshimoto, Naoki
name: Li, Man Cheung Alex
name: Matsubara, Yutaka
name: Muraki, Yasushi
name: Miyazaki, Shota
name: Olmschenk, Greg
name: Ranc, Clément
name: Rattenbury, Nicholas J.
name: Satoh, Yuki
name: Shoji, Hikaru
name: Silva, Stela Ishitani
name: Sumi, Takahiro
name: Suzuki, Daisuke
name: Tanaka, Yuzuru
name: Tristram, Paul J.
name: Yamawaki, Tsubasa
name: Yonehara, Atsunori
Publisher: name: arXiv
Year: 2023
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: In this work, we update and develop algorithms for KMTNet tender-love care (TLC) photometry in order to create an new, mostly automated, TLC pipeline. We then start a project to systematically apply the new TLC pipeline to the historic KMTNet microlensing events, and search for buried planetary signals. We report the discovery of such a planet candidate in the microlensing event MOA-2019-BLG-421/KMT-2019-BLG-2991. The anomalous signal can be explained by either a planet around the lens star or the orbital motion of the source star. For the planetary interpretation, despite many degenerate solutions, the planet is most likely to be a Jovian planet orbiting an M or K dwarf, which is a typical microlensing planet. The discovery proves that the project can indeed increase the sensitivity of historic events and find previously undiscovered signals.
description: 19 pages, 13 figures, 7 tables. Submitted to MNRAS
Exponential Stability of the Inhomogeneous Navier-Stokes-Vlasov System in Vacuum
Creators: name: Li, Hai-Liang
name: Shou, Ling-Yun
name: Zhang, Yue
Publisher: name: arXiv
Year: 2023
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 35Q30, 35Q83, 35A01, 35B40

description: In this paper, we study the asymptotic behaviors of solutions to the inhomogeneous Navier-Stokes-Vlasov system in $\mathbb{R}^{3}\times\mathbb{R}^{3}$, where the initial fluid density is allowed to vanish. We establish the uniform bound of the macroscopic density associated with the distribution function and prove the global existence and uniqueness of strong solutions to the Cauchy problem with vacuum for either small initial energy or large viscosity coefficient. The uniform boundedness and the presence of vacuum enable us to show that as the time evolves, the fluid velocity decays, while the distribution function concentrates towards a Dirac measure in velocity centred at $0$, with an exponential rate. In order to overcome the degeneracy in the momentum equations, we develop an energy argument based on higher order functional inequalities designed for fluid-particle coupled structures.
On the closability of differential operators
Creators: name: Alberti, Giovanni
name: Bate, David
name: Marchese, Andrea
Publisher: name: arXiv
Year: 2023
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: Analysis of PDEs (math.AP)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 26B05, 49Q15, 26A27

description: We discuss the closability of directional derivative operators with respect to a general Radon measure $μ$ on $\mathbb{R}^d$; our main theorem completely characterizes the vectorfields for which the corresponding operator is closable from the space of Lipschitz functions $\mathrm{Lip}(\mathbb{R}^d)$ to $L^p(μ)$, for $1\leq p\leq\infty$. We also discuss the closability of the same operators from $L^q(μ)$ to $L^p(μ)$, and give necessary and sufficient conditions for closability, but we do not have an exact characterization. As a corollary we obtain that classical differential operators such as gradient, divergence and Jacobian determinant are closable from $L^q(μ)$ to $L^p(μ)$ only if $μ$ is absolutely continuous with respect to the Lebesgue measure. We finally consider the closability of a certain class of multilinear differential operators; these results are then rephrased in terms of metric currents.
NavMarkAR: A Landmark-based Augmented Reality (AR) Wayfinding System for Enhancing Spatial Learning of Older Adults
Creators: name: Qiu, Zhiwen
name: Ashour, Mojtaba
name: Zhou, Xiaohe
name: Kalantari, Saleh
Publisher: name: arXiv
Year: 2023
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Wayfinding in complex indoor environments is often challenging for older adults due to declines in navigational and spatial-cognition abilities. This paper introduces NavMarkAR, an augmented reality navigation system designed for smart-glasses to provide landmark-based guidance, aiming to enhance older adults' spatial navigation skills. This work addresses a significant gap in design research, with limited prior studies evaluating cognitive impacts of AR navigation systems. An initial usability test involved 6 participants, leading to prototype refinements, followed by a comprehensive study with 32 participants in a university setting. Results indicate improved wayfinding efficiency and cognitive map accuracy when using NavMarkAR. Future research will explore long-term cognitive skill retention with such navigational aids.
description: 24 pages
Conducta omisiva del abogado. Un análisis conceptual y una explicación de la conducta de omisión en el marco de la responsabilidad civil
Creators: name: Acosta De La Cruz, Juan Carlos
Publisher: name: Universidad Externado de Colombia
Year: 2024
Subjects: subject: Derecho civil - Legislación - Colombia
subject: Delitos por omisión
subject: Poder del abogado - Aspectos morales y éticos
subject: Omisión
subject: Responsabilidad civil
subject: Responsabilidad disciplinaria
subject: Conducta omisiva del abogado

description: Este trabajo se ocupa de la conducta omisiva del abogado en el derecho de responsabilidad civil. Lo hace desde una perspectiva comparada y propone dos hipótesis, aunque aun no pretende dar argumentos concluyentes a su favor: (1) que la conducta omisiva de los abogados se valora distinto en el derecho civil y el sancionatorio; y (2) que en Colombia las conductas omisivas de los abogados son rara vez llevadas a instancias de responsabilidad civil porque son mayormente tratadas en instancias sancionatorias. Para desarrollar el tema se esclarece el concepto de omisión jurídica, se caracteriza la objetividad del Código Disciplinario y se explican las decisiones judiciales acerca de las conductas de omisión de los abogados describiendo la jurisprudencia. Finalmente, se examinan algunas objeciones a los argumentos con el fin de mostrar por qué se considera que las hipótesis son aceptables
description: This work deals with the omission of the lawyer in civil liability law. It does so from a comparative perspective and proposes two hypotheses, although it still does not intend to give conclusive arguments in its favor: (1) that the omissive conduct of lawyers is valued differently in civil law and sanatorium; and (2) that in Colombia the omissions of lawyers are rarely taken to civil liability instances because they are mostly dealt with in sanctioning instances. In order to develop the topic, the concept of legal omission is clarified, the objectivity of the Disciplinary Code is characterized and the judicial decisions about the omission behaviors of lawyers are explained, describing the jurisprudence. Finally, some objections to the arguments are examined in order to show why the hypotheses are considered to be acceptable
Unveiling quantum steering by quantum-classical uncertainty complementarity
Creators: name: Lee, Kuan-Yi
name: Lin, Jhen-Dong
name: Lemr, Karel
name: Černoch, Antonín
name: Miranowicz, Adam
name: Nori, Franco
name: Ku, Huan-Yu
name: Chen, Yueh-Nan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: One of the remarkable aspects of quantum steering is its ability to violate local uncertainty complementarity relations. In this vein of study, various steering witnesses have been developed. Here, we introduce a novel complementarity relation between system's quantum and classical uncertainties corresponding to the distillable coherence and the von-Neumann entropy, respectively. We show that the proposed complementarity relation is tighter than the entropic uncertainty relation (EUR). Leveraging this result, we propose a steering witness that is more efficient than the EUR. From the operational perspective, the steering witness quantifies the amount of extra distillable coherence facilitated by quantum steerability. Notably, the proposed steering witness serves as a full entanglement measure for pure bipartite states--an ability that the EUR lacks. We also experimentally validate such a property through a photonic system. Furthermore, a deeper connection to the uncertainty principle is revealed by showcasing the steering-induced distillable coherence can quantifies measurement incompatibility and quantum steerability under genuine incoherent operations. Our work establishes a clear quantitative and operational link between coherence and steering, which are vital resources of quantum technologies, and underscores our efforts in bridging the uncertainty principle with quantum coherence.
description: 20 pages, 5 figures
research_data_1 – Supplemental material for How Is Intangible Cultural Heritage Valued in the Eyes of Inheritors? Scale Development and Validation
Creators: name: Su, Xinwei
name: Li, Xi
name: Wu, Yanbin
name: Yao, Limei
Publisher: name: SAGE Journals
Year: 2020
Subjects: Organisation and Management Theory
Hospitality Management

description: Supplemental material, research_data_1 for How Is Intangible Cultural Heritage Valued in the Eyes of Inheritors? Scale Development and Validation by Xinwei Su, Xi Li, Yanbin Wu and Limei Yao in Journal of Hospitality & Tourism Research
A picture guide to cancer progression and monotonic accumulation models: evolutionary assumptions, plausible interpretations, and alternative uses
Creators: name: Diaz-Uriarte, Ramon
name: Johnston, Iain G.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Biological sciences

description: Cancer progression and monotonic accumulation models were developed to discover dependencies in the irreversible acquisition of binary traits from cross-sectional data. They have been used in computational oncology and virology but also in widely different problems such as malaria progression. These methods have been applied to predict future states of the system, identify routes of feature acquisition, and improve patient stratification, and they hold promise for evolutionary-based treatments. New methods continue to be developed.
 But these methods have shortcomings, which are yet to be systematically critiqued, regarding key evolutionary assumptions and interpretations. After an overview of the available methods, we focus on why inferences might not be about the processes we intend. Using fitness landscapes, we highlight difficulties that arise from bulk sequencing and reciprocal sign epistasis, from conflating lines of descent, path of the maximum, and mutational profiles, and from ambiguous use of the idea of exclusivity. We examine how the previous concerns change when bulk sequencing is explicitly considered, and underline opportunities for addressing dependencies due to frequency-dependent selection. This review identifies major standing issues, and should encourage the use of these methods in other areas with a better alignment between entities and model assumptions.
description: fixed wrong fig. ref; driv./pass.; [Previous: Abstract 200 words; details BML; consistent Brit. spell.; Iain G. Johnston coauthor; clarified LOD/POM; clarified scenarios; comment Schill et al. 2024 selection bias; fixed typos; additional annotation in some figures and figure legends. Added URLs and DOIs to references; corrected typos; added URL to software]
title: Of Bayes and Bullets
title: Of Bayes and Bullets
title: An Embodied, Situated, Targeting-Based Account of Predictive Processing.
titleType: Subtitle
title: An Embodied, Situated, Targeting-Based Account of Predictive Processing.
titleType: Subtitle
Creators: name: Anderson, Michael L.
Publisher: name: Theoretical Philosophy/MIND Group – JGU Mainz
Year: 2017

description: Here I argue that Jakob Hohwy’s (Hohwy 2013) cognitivist interpretation of predictive processing (a) does not necessarily follow from the evidence for the importance of Bayesian processing in the brain; (b) is rooted in a misunderstanding of our epistemic position in the world; and (c) is undesirable in that it leads to epistemic internalism or idealism.  My claim is that the internalist/idealist conclusions do not follow from predictive processing itself, but instead from the model of perception Hohwy’s adopts, and that there are alternate models of perception that do not lend themselves to idealist conclusions. The position I advocate is similar to Andy Clark’s embodied/embedded interpretation of Bayesian processing (Clark 2015); however, I argue that Clark’s position, as currently stated, also potentially leads to idealist conclusions. I offer a specific emendation to Clark’s view that I believe avoids this pitfall.
description: Philosophy and Predictive Processing
description: Philosophy and Predictive Processing
An Invitation to Deep Reinforcement Learning
Creators: name: Jaeger, Bernhard
name: Geiger, Andreas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Training a deep neural network to maximize a target objective has become the standard recipe for successful machine learning over the last decade. These networks can be optimized with supervised learning, if the target objective is differentiable. For many interesting problems, this is however not the case. Common objectives like intersection over union (IoU), bilingual evaluation understudy (BLEU) score or rewards cannot be optimized with supervised learning. A common workaround is to define differentiable surrogate losses, leading to suboptimal solutions with respect to the actual objective. Reinforcement learning (RL) has emerged as a promising alternative for optimizing deep neural networks to maximize non-differentiable objectives in recent years. Examples include aligning large language models via human feedback, code generation, object detection or control problems. This makes RL techniques relevant to the larger machine learning audience. The subject is, however, time intensive to approach due to the large range of methods, as well as the often very theoretical presentation. In this introduction, we take an alternative approach, different from classic reinforcement learning textbooks. Rather than focusing on tabular problems, we introduce reinforcement learning as a generalization of supervised learning, which we first apply to non-differentiable objectives and later to temporal problems. Assuming only basic knowledge of supervised learning, the reader will be able to understand state-of-the-art deep RL algorithms like proximal policy optimization (PPO) after reading this tutorial.
description: Published at Foundations and Trends in Optimization
title: Embodied Decisions and the Predictive Brain
title: Embodied Decisions and the Predictive Brain
Creators: name: Burr, Christopher D.
Publisher: name: Theoretical Philosophy/MIND Group – JGU Mainz
Year: 2017

description: A cognitivist account of decision-making views choice behaviour as a serial process of deliberation and commitment, which is separate from perception and action. By contrast, recent work in embodied decision-making has argued that this account is incompatible with emerging neurophysiological data. We argue that this account has significant overlap with an embodied account of predictive processing, and that both can offer mutual development for the other. However, more importantly, by demonstrating this close connection we uncover an alternative perspective on the nature of decision-making, and the mechanisms that underlie our choice behaviour. This alternative perspective allows us to respond to a challenge for predictive processing, which claims that the satisfaction of distal goal-states is underspecified. Answering this challenge requires the adoption of an embodied perspective.
description: Philosophy and Predictive Processing
description: Philosophy and Predictive Processing
Additional file 2 of End-ischemic hypothermic oxygenated perfusion for extended criteria donors in liver transplantation: a multicenter, randomized controlled trial—HOPExt
Creators: name: Pradat, Pierre
name: Pantel, Solene
name: Maynard, Marianne
name: Lalande, Laure
name: Thevenon, Sylvie
name: Adam, Rene
name: Allard, Marc-Antoine
name: Robin, Fabien
name: Rayar, Michel
name: Boleslawski, Emmanuel
name: Scatton, Olivier
name: Chirica, Mircea
name: Faitot, François
name: Bachellier, Philippe
name: Soubrane, Olivier
name: Mohkam, Kayvan
name: Mabrut, Jean-Yves
name: Lesurtel, Mickaël
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 2. Health economic analysis.
Supplemental Material, ORM_18_0126_R5_Supplementary_material_Tables - Using Bifactor Models to Examine the Predictive Validity of Hierarchical Constructs: Pros, Cons, and Solutions
Creators: name: Zhang, Bo
name: Sun, Tianjun
name: Cao, Mengyang
name: Drasgow, Fritz
Publisher: name: SAGE Journals
Year: 2020
Subjects: Organisation and Management Theory
Sociological Methodology and Research Methods

description: Supplemental Material, ORM_18_0126_R5_Supplementary_material_Tables for Using Bifactor Models to Examine the Predictive Validity of Hierarchical Constructs: Pros, Cons, and Solutions by Bo Zhang, Tianjun Sun, Mengyang Cao and Fritz Drasgow in Organizational Research Methods
The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark
Creators: name: Murali, Aditya
name: Alapatt, Deepak
name: Mascagni, Pietro
name: Vardazaryan, Armine
name: Garcia, Alain
name: Okamoto, Nariaki
name: Costamagna, Guido
name: Mutter, Didier
name: Marescaux, Jacques
name: Dallemagne, Bernard
name: Padoy, Nicolas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: This technical report provides a detailed overview of Endoscapes, a dataset of laparoscopic cholecystectomy (LC) videos with highly intricate annotations targeted at automated assessment of the Critical View of Safety (CVS). Endoscapes comprises 201 LC videos with frames annotated sparsely but regularly with segmentation masks, bounding boxes, and CVS assessment by three different clinical experts. Altogether, there are 11090 frames annotated with CVS and 1933 frames annotated with tool and anatomy bounding boxes from the 201 videos, as well as an additional 422 frames from 50 of the 201 videos annotated with tool and anatomy segmentation masks. In this report, we provide detailed dataset statistics (size, class distribution, dataset splits, etc.) and a comprehensive performance benchmark for instance segmentation, object detection, and CVS prediction. The dataset and model checkpoints are publically available at https://github.com/CAMMA-public/Endoscapes.
description: 7 pages; 3 figures
title: Folk Psychology and the Bayesian Brain
title: Folk Psychology and the Bayesian Brain
Creators: name: Dewhurst, Joe
Publisher: name: Theoretical Philosophy/MIND Group – JGU Mainz
Year: 2017

description: Whilst much has been said about the implications of predictive processing for our scientific understanding of cognition, there has been comparatively little discussion of how this new paradigm fits with our everyday understanding of the mind, i.e. folk psychology. This paper aims to assess the relationship between folk psychology and predictive processing, which will first require making a distinction between two ways of understanding folk psychology: as propositional attitude psychology and as a broader folk psychological discourse. It will be argued that folk psychology in this broader sense is compatible with predictive processing, despite the fact that there is an apparent incompatibility between predictive processing and a literalist interpretation of propositional attitude psychology. The distinction between these two kinds of folk psychology allows us to accept that our scientific usage of folk concepts requires revision, whilst rejecting the suggestion that we should eliminate folk psychology entirely.
  In section 1 I will introduce predictive processing, giving a quick summary of the framework that focuses on the details most relevant for my comparison with folk psychology. I will also introduce folk psychology and define the distinction between propositional attitude psychology and folk psychological discourse. In section 2 I will consider the relationship between predictive processing and propositional attitude psychology, and in section 3 I will consider the relationship between predictive processing and folk psychological discourse. Finally, in section 4 I will argue that the distinction between propositional attitude psychology and folk psychological discourse makes space for us to revise our scientific usage of folk psychological concepts without thereby eliminating folk psychology altogether.
description: Philosophy and Predictive Processing
description: Philosophy and Predictive Processing
Additional file 1 of Experiences, coping strategies and perspectives of people in Malaysia during the COVID-19 pandemic
Creators: name: Cheah, Phaik Kin
name: Jalloh, Mohamed Bella
name: Cheah, Phee-Kheng
name: Ongkili, Darlene
name: Schneiders, Mira Leonie
name: Osterrieder, Anne
name: Peerawaranun, Pimnara
name: Waithira, Naomi
name: Davies, Alun
name: Mukaka, Mavuto
name: Cheah, Phaik Yeong
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Science Policy

description: Supplementary Material 1
Digital-analog quantum learning on Rydberg atom arrays
Creators: name: Lu, Jonathan Z.
name: Jiao, Lucy
name: Wolinski, Kristina
name: Kornjača, Milan
name: Hu, Hong-Ye
name: Cantu, Sergio
name: Liu, Fangli
name: Yelin, Susanne F.
name: Wang, Sheng-Tao
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We propose hybrid digital-analog learning algorithms on Rydberg atom arrays, combining the potentially practical utility and near-term realizability of quantum learning with the rapidly scaling architectures of neutral atoms. Our construction requires only single-qubit operations in the digital setting and global driving according to the Rydberg Hamiltonian in the analog setting. We perform a comprehensive numerical study of our algorithm on both classical and quantum data, given respectively by handwritten digit classification and unsupervised quantum phase boundary learning. We show in the two representative problems that digital-analog learning is not only feasible in the near term, but also requires shorter circuit depths and is more robust to realistic error models as compared to digital learning schemes. Our results suggest that digital-analog learning opens a promising path towards improved variational quantum learning experiments in the near term.
description: 23 pages, 22 figures. Version 2 for Quantum Science and Technology: https://iopscience.iop.org/article/10.1088/2058-9565/ad9177
APPENDIX_2 – Supplemental material for The effects of the gang truce on Salvadoran communities and development agents
Creators: name: Martínez-Reyes, Alberto
name: José-Javier Navarro-Pérez
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 160512 Social Policy
subject: FOS: Political science

description: Supplemental material, APPENDIX_2 for The effects of the gang truce on Salvadoran communities and development agents by Alberto Martínez-Reyes and José-Javier Navarro-Pérez in International Social Work
A Test of a Conjecture of Cardy
Creators: name: Higgs, Van
name: Pickrell, Doug
Publisher: name: arXiv
Year: 2024
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics

description: In reference to Werner's measure on self-avoiding loops on Riemann surfaces, Cardy conjectured a formula for the measure of all homotopically nontrivial loops in a finite type annular region with modular parameter $ρ$. Ang, Remy and Sun have announced a proof of this conjecture using random conformal geometry. Cardy's formula implies that the measure of the set of homotopically nontrivial loops in the punctured plane which intersect $S^1$ equals $\frac{2π}{\sqrt{3}}$. This set is the disjoint union of the set of loops which avoid a ray from the unit circle to infinity and its complement. There is an inclusion/exclusion sum which, in a limit, calculates the measure of the set of loops which avoid a ray. Each term in the sum involves finding the transfinite diameter of a slit domain. This is numerically accessible using the remarkable Schwarz-Christoffel package developed by Driscoll and Trefethen. Our calculations suggest this sum is around $π$, consistent with Cardy's formula.