cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Additional file 3 of Early sex-dependent differences in metabolic profiles of overweight and adiposity in young children: a cross-sectional analysis
Creators: name: Azab, Sandi M
name: Shanmuganathan, Meera
name: de Souza, Russell J
name: Kroezen, Zachary
name: Desai, Dipika
name: Williams, Natalie C
name: Morrison, Katherine M
name: Atkinson, Stephanie A
name: Teo, Koon K
name: Azad, Meghan B
name: Simons, Elinor
name: Moraes, Theo J
name: Mandhane, Piush J
name: Turvey, Stuart E
name: Subbarao, Padmaja
name: Britz-McKibbin, Philip
name: Anand, Sonia S
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Chemical Sciences not elsewhere classified
subject: Cancer

description: Additional file 3: Table S2. FAMILY baseline characteristics.
Additional file 5 of Early sex-dependent differences in metabolic profiles of overweight and adiposity in young children: a cross-sectional analysis
Creators: name: Azab, Sandi M
name: Shanmuganathan, Meera
name: de Souza, Russell J
name: Kroezen, Zachary
name: Desai, Dipika
name: Williams, Natalie C
name: Morrison, Katherine M
name: Atkinson, Stephanie A
name: Teo, Koon K
name: Azad, Meghan B
name: Simons, Elinor
name: Moraes, Theo J
name: Mandhane, Piush J
name: Turvey, Stuart E
name: Subbarao, Padmaja
name: Britz-McKibbin, Philip
name: Anand, Sonia S
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Chemical Sciences not elsewhere classified
subject: Cancer

description: Additional file 5: Table S4. Metabolomics of waist circumference.
title: The Prudential Tool Kit with Shadow Banking
Creators: name: Hachem, Kinda
name: Kuncl, Martin
Publisher: name: Bank of Canada
publisherIdentifier: https://ror.org/05cc98565
publisherIdentifierScheme: ROR
Year: 2025

description: Several countries now require banks or money market funds to impose state-contingent costs on short-term creditors to absorb financial stress. We study these requirements as part of the broader prudential toolkit using a model with five key ingredients: banks may face an aggregate stress state with high withdrawals; a fire-sale externality motivates a mix of non-contingent and state-contingent regulation; banks may use shadow technologies to circumvent regulation; parameters of the shadow technologies may be private information; and bailouts may occur. We characterize the optimal policy for various combinations of these ingredients and demonstrate that the threat of shadow activities constrains state-contingent regulation more than non-contingent regulation, especially when imperfect information and limited commitment coexist. The planner triggers shadow activities with positive probability under imperfect information, and shadow activities that deplete resources in the stress state elicit larger bailouts under limited commitment, rendering the requirement of state-contingent costs a weak instrument.
description: Plusieurs pays exigent désormais des banques ou des fonds du marché monétaire qu’ils imposent aux créanciers à court terme des coûts établis en fonction de la conjoncture pour absorber les tensions financières. Nous étudions ces exigences, dans le cadre d’un ensemble plus large d’outils prudentiels, à l’aide d’un modèle comportant cinq éléments clés : les banques peuvent être confrontées à un état de tensions globales avec des retraits élevés; l’externalité que représentent des ventes d’urgence motive la mise en place de dispositifs réglementaires dont certains dépendent de la conjoncture et d’autres non; les banques peuvent utiliser des technologies propres aux banques parallèles pour contourner la réglementation; les paramètres de ces technologies peuvent être des informations privées; et des renflouements peuvent avoir lieu. Nous caractérisons la politique optimale pour diverses combinaisons de ces éléments et démontrons que la menace d’activités parallèles limite davantage la réglementation qui dépend de la conjoncture que celle qui en est indépendante, en particulier lorsque des informations imparfaites et un engagement limité coexistent. Si un planificateur a des informations imparfaites, cela déclenche des activités parallèles avec une probabilité positive, et les activités parallèles qui épuisent les ressources dans l’état de tensions globales suscitent des renflouements plus importants quand l’engagement est limité, ce qui fait de l’exigence d’imposer des coûts en fonction de la conjoncture un instrument peu efficace.
Learning optimal controllers: a dynamical motion primitive approach
Creators: name: Kussaba, Hugo T. M.
name: Swikir, Abdalla
name: Wu, Fan
name: Demerdjieva, Anastasija
name: Kutyniok, Gitta
name: Haddadin, Sami
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Real-time computation of optimal control is a challenging problem and, to solve this difficulty, many frameworks proposed to use learning techniques to learn (possibly sub-optimal) controllers and enable their usage in an online fashion. Among these techniques, the optimal motion framework is a simple, yet powerful technique, that obtained success in many complex real-world applications. The main idea of this approach is to take advantage of dynamic motion primitives, a widely used tool in robotics to learn trajectories from demonstrations. While usually these demonstrations come from humans, the optimal motion framework is based on demonstrations coming from optimal solutions, such as the ones obtained by numeric solvers. As usual in many learning techniques, a drawback of this approach is that it is hard to estimate the suboptimality of learned solutions, since finding easily computable and non-trivial upper bounds to the error between an optimal solution and a learned solution is, in general, unfeasible. However, we show in this paper that it is possible to estimate this error for a broad class of problems. Furthermore, we apply this estimation technique to achieve a novel and more efficient sampling scheme to be used within the optimal motion framework, enabling the usage of this framework in some scenarios where the computational resources are limited.
description: This work has been accepted to the 22nd IFAC World Congress
Fast yet predictable braking manoeuvers for real-time robot control
Creators: name: Hamad, Mazin
name: Gutierrez-Moreno, Jesus
name: Kussaba, Hugo T. M.
name: Mansfeld, Nico
name: Abdolshah, Saeed
name: Swikir, Abdalla
name: Burgard, Wolfram
name: Haddadin, Sami
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: This paper proposes a framework for generating fast, smooth and predictable braking manoeuvers for a controlled robot. The proposed framework integrates two approaches to obtain feasible modal limits for designing braking trajectories. The first approach is real-time capable but conservative considering the usage of the available feasible actuator control region, resulting in longer braking times. In contrast, the second approach maximizes the used braking control inputs at the cost of requiring more time to evaluate larger, feasible modal limits via optimization. Both approaches allow for predicting the robot's stopping trajectory online. In addition, we also formulated and solved a constrained, nonlinear final-time minimization problem to find optimal torque inputs. The optimal solutions were used as a benchmark to evaluate the performance of the proposed predictable braking framework. A comparative study was compiled in simulation versus a classical optimal controller on a 7-DoF robot arm with only three moving joints. The results verified the effectiveness of our proposed framework and its integrated approaches in achieving fast robot braking manoeuvers with accurate online predictions of the stopping trajectories and distances under various braking settings.
description: This work has been accepted to the 22nd IFAC World Congress
Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems
Creators: name: Nuradha, Theshani
name: Goldfeld, Ziv
name: Wilde, Mark M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Cryptography and Security (cs.CR)
subject: Information Theory (cs.IT)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We propose a versatile privacy framework for quantum systems, termed quantum pufferfish privacy (QPP). Inspired by classical pufferfish privacy, our formulation generalizes and addresses limitations of quantum differential privacy by offering flexibility in specifying private information, feasible measurements, and domain knowledge. We show that QPP can be equivalently formulated in terms of the Datta-Leditzky information spectrum divergence, thus providing the first operational interpretation thereof. We reformulate this divergence as a semi-definite program and derive several properties of it, which are then used to prove convexity, composability, and post-processing of QPP mechanisms. Parameters that guarantee QPP of the depolarization mechanism are also derived. We analyze the privacy-utility tradeoff of general QPP mechanisms and, again, study the depolarization mechanism as an explicit instance. The QPP framework is then applied to privacy auditing for identifying privacy violations via a hypothesis testing pipeline that leverages quantum algorithms. Connections to quantum fairness and other quantum divergences are also explored and several variants of QPP are examined.
description: v2: 33 pages, 9 figures, accepted to IEEE Transactions on Information Theory
A proposal to demonstrate non-abelian anyons on a NISQ device
Creators: name: Jovanović, Jovan
name: Wille, Carolin
name: Timmers, Daan
name: Simon, Steven H.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: In this work we present a proposal for realising non-Abelian anyons on a NISQ device. In particular we explore the feasibility of implementing the quantum double model $D(D_4)$. We propose techniques to drastically simplify the circuits for the manipulation and measurements of anyons. Numerical simulations with realistic noise models suggest that current NISQ technology is capable of probing signatures of non-Abelian anyons far beyond elemental properties such as the non-commutativity of braids. In particular, we conclude that experimentally measuring the full modular data of the model is feasible.
description: 40 pages without references, 28 figures, 7 sections and 5 appendices
Inflation in simple one-loop effective potentials of perturbative quantum gravity
Creators: name: Arbuzov, A.
name: Kuznetsov, D.
name: Latosh, B.
name: Shmidt, V.
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study inflation in scalar-tensor perturbative quantum gravity driven by a one-loop effective potential. We consider effective potentials generated by three models. The first model describes a single scalar field with a non-vanishing mass. The second model describes a massless scalar field with non-minimal coupling to the Einstein tensor. The third model generalises the Coleman-Weinberg model for the gravitational case. The first model can be consistent with the observational data for $N\sim 70$ e-foldings. The second model can be consistent with the observational data for $N \sim 40$ e-foldings. We did not find parameters that make the generalised Coleman-Weinberg model consistent with the observational data. We discuss the implications of these results and ways to improve them with other terms of effective action.
description: 19 pages, 30 figures. International Journal of Modern Physics, 2024
Simulation-assisted learning of open quantum systems
Creators: name: Wang, Ke
name: Li, Xiantao
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: Models for open quantum systems, which play important roles in electron transport problems and quantum computing, must take into account the interaction of the quantum system with the surrounding environment. Although such models can be derived in some special cases, in most practical situations, the exact models are unknown and have to be calibrated. This paper presents a learning method to infer parameters in Markovian open quantum systems from measurement data. One important ingredient in the method is a direct simulation technique of the quantum master equation, which is designed to preserve the completely-positive property with guaranteed accuracy. The method is particularly helpful in the situation where the time intervals between measurements are large. The approach is validated with error estimates and numerical experiments.
Matrix product state approximations to quantum states of low energy variance
Creators: name: Rai, Kshiti Sneh
name: Cirac, J. Ignacio
name: Alhambra, Álvaro M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We show how to efficiently simulate pure quantum states in one dimensional systems that have both finite energy density and vanishingly small energy fluctuations. We do so by studying the performance of a tensor network algorithm that produces matrix product states whose energy variance decreases as the bond dimension increases. Our results imply that variances as small as $\propto 1/\log N$ can be achieved with polynomial bond dimension. With this, we prove that there exist states with a very narrow support in the bulk of the spectrum that still have moderate entanglement entropy, in contrast with typical eigenstates that display a volume law. Our main technical tool is the Berry-Esseen theorem for spin systems, a strengthening of the central limit theorem for the energy distribution of product states. We also give a simpler proof of that theorem, together with slight improvements in the error scaling, which should be of independent interest.
description: 24 pages, 3 figures, Accepted in Quantum
supplementary – Supplemental material for Effect of lurasidone treatment on chronic mild stress-induced behavioural deficits in male rats: The potential role for glucocorticoid receptor signalling
Creators: name: Calabrese, Francesca
name: Brivio, Paola
name: Sbrini, Giulia
name: Gruca, Piotr
name: Lason, Magdalena
name: Litwa, Ewa
name: Niemczyk, Monika
name: Papp, Mariusz
name: Riva, Marco A
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)

description: Supplemental material, supplementary for Effect of lurasidone treatment on chronic mild stress-induced behavioural deficits in male rats: The potential role for glucocorticoid receptor signalling by Francesca Calabrese, Paola Brivio, Giulia Sbrini, Piotr Gruca, Magdalena Lason, Ewa Litwa, Monika Niemczyk, Mariusz Papp and Marco A Riva in Journal of Psychopharmacology
Spatio-Temporal Branching for Motion Prediction using Motion Increments
Creators: name: Wang, Jiexin
name: Zhou, Yujie
name: Qiang, Wenwen
name: Ba, Ying
name: Su, Bing
name: Wen, Ji-Rong
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Human motion prediction (HMP) has emerged as a popular research topic due to its diverse applications, but it remains a challenging task due to the stochastic and aperiodic nature of future poses. Traditional methods rely on hand-crafted features and machine learning techniques, which often struggle to model the complex dynamics of human motion. Recent deep learning-based methods have achieved success by learning spatio-temporal representations of motion, but these models often overlook the reliability of motion data. Additionally, the temporal and spatial dependencies of skeleton nodes are distinct. The temporal relationship captures motion information over time, while the spatial relationship describes body structure and the relationships between different nodes. In this paper, we propose a novel spatio-temporal branching network using incremental information for HMP, which decouples the learning of temporal-domain and spatial-domain features, extracts more motion information, and achieves complementary cross-domain knowledge learning through knowledge distillation. Our approach effectively reduces noise interference and provides more expressive information for characterizing motion by separately extracting temporal and spatial features. We evaluate our approach on standard HMP benchmarks and outperform state-of-the-art methods in terms of prediction accuracy.
description: The incremental information of our paper includes the displacement information from the last frame of the historical sequence, derived from the motion information of the first frame in the future sequence and the motion information of the last frame of the historical sequence. This implicitly contains future information, inadvertently giving an unfair advantage in the human motion prediction task
Additional file 4 of Early sex-dependent differences in metabolic profiles of overweight and adiposity in young children: a cross-sectional analysis
Creators: name: Azab, Sandi M
name: Shanmuganathan, Meera
name: de Souza, Russell J
name: Kroezen, Zachary
name: Desai, Dipika
name: Williams, Natalie C
name: Morrison, Katherine M
name: Atkinson, Stephanie A
name: Teo, Koon K
name: Azad, Meghan B
name: Simons, Elinor
name: Moraes, Theo J
name: Mandhane, Piush J
name: Turvey, Stuart E
name: Subbarao, Padmaja
name: Britz-McKibbin, Philip
name: Anand, Sonia S
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Chemical Sciences not elsewhere classified
subject: Cancer

description: Additional file 4: Table S3. Multiple imputation analysis.
Additional file 1 of The prognostic value of intraoperative HRV during anesthesia in patients presenting for non-cardiac surgery
Creators: name: Niu, Jiahe
name: Lu, Yonghao
name: Xu, Ruikun
name: Fang, Fang
name: Hong, Shikai
name: Huang, Lexin
name: Xue, Yajun
name: Fei, Jintao
name: Zhang, Xuegong
name: Zhou, Boda
name: Zhang, Ping
name: Jiang, Rui
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Physiology
subject: Pharmacology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified

description: Additional file 1.
Lessons from LHC on the LFV Higgs decays $h \to \ell_a \ell_b$ in the Two-Higgs Doublet Models
Creators: name: Arroyo-Ureña, M. A.
name: Díaz-Cruz, J. Lorenzo
name: Félix-Beltrán, O.
name: Zeleny-Mora, M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The non-conservation of the lepton number has been explored at the LHC through the Lepton-Flavor Violating (LFV) Higgs decays $h\to\ell_a\ell_b$, with $\ell_{a,\,b}=e,\,μ,\,τ$ $(a \neq b)$. Current limits on these decays are a source of valuable information on the structure of the Yukawa and Higgs sectors. The LFV Higgs couplings can arise within the general Two-Higgs Doublet Model (2HDM); the predicted rates for these decay modes depend on the specific Yukawa structure being considered, ranging from a vanishing branching ratio at tree-level for some versions (2HDM-I, II, X, Y), up to large and detectable ratios within the general 2HDM-III. An attractive scenario is given by the texturized version of the model (2HDM-Tx), with the Yukawa matrices having some texture zeros, such as the minimal version with the so-called Cheng-Sher ansazt. We study the constraints on the parameter space of the 2HDM provided by experimental and theoretical restrictions, and use them to study the detection of LFV Higgs modes at LHC. We find several encouraging scenarios to the search for the decay $h \toτμ$ that could be achieved in the High-Luminosity LHC. On the other hand, LFV Higgs couplings can also be induced at one-loop level in the 2HDM with neutrino masses, with the loops being mediated by neutrino interactions; we find that the resulting branching ratios are of order $10^{-7}$ at best, which is out of the reach of current and future phases of the LHC.
description: Version accepted to be published in IJMPA
Coherent spin qubit shuttling through germanium quantum dots
Creators: name: van Riggelen-Doelman, Floor
name: Wang, Chien-An
name: de Snoo, Sander L.
name: Lawrie, William I. L.
name: Hendrickx, Nico W.
name: Rimbach-Russ, Maximilian
name: Sammak, Amir
name: Scappucci, Giordano
name: Déprez, Corentin
name: Veldhorst, Menno
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum links can interconnect qubit registers and are therefore essential in networked quantum computing. Semiconductor quantum dot qubits have seen significant progress in the high-fidelity operation of small qubit registers but establishing a compelling quantum link remains a challenge. Here, we show that a spin qubit can be shuttled through multiple quantum dots while preserving its quantum information. Remarkably, we achieve these results using hole spin qubits in germanium, despite the presence of strong spin-orbit interaction. We accomplish the shuttling of spin basis states over effective lengths beyond 300 $μ$m and demonstrate the coherent shuttling of superposition states over effective lengths corresponding to 9 $μ$m, which we can extend to 49 $μ$m by incorporating dynamical decoupling. These findings indicate qubit shuttling as an effective approach to route qubits within registers and to establish quantum links between registers.
description: Main text: 9 pages, 4 figures Supplementary material: 10 pages, 8 figures
Epidemic spreading under game-based self-quarantine behaviors: The different effects of local and global information
Creators: name: Huang, Zegang
name: Shu, Xincheng
name: Xuan, Qi
name: Ruan, Zhongyuan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: During the outbreak of an epidemic, individuals may modify their behaviors in response to external (including local and global) infection-related information. However, the difference between local and global information in influencing the spread of diseases remains inadequately explored. Here we study a simple epidemic model that incorporates the game-based self-quarantine behavior of individuals, taking into account the influence of local infection status, global disease prevalence and node heterogeneity (non-identical degree distribution). Our findings reveal that local information can effectively contain an epidemic, even with only a small proportion of individuals opting for self-quarantine. On the other hand, global information can cause infection evolution curves shaking during the declining phase of an epidemic, owing to the synchronous release of nodes with the same degree from the quarantined state. In contrast, the releasing pattern under the local information appears to be more random. This shaking phenomenon can be observed in various types of networks associated with different characteristics. Moreover, it is found that under the proposed game-epidemic framework, a disease is more difficult to spread in heterogeneous networks than in homogeneous networks, which differs from conventional epidemic models.
description: Accepted by Chaos; 7 pages, 6 figures
Supp_Materials.5.1.20 – Supplemental material for Plea Bargaining: A Test of Dual Discounting Preferences for Non-Monetary Losses
Creators: name: Clatch, Lauren
name: Borgida, Eugene
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, Supp_Materials.5.1.20 for Plea Bargaining: A Test of Dual Discounting Preferences for Non-Monetary Losses by Lauren Clatch and Eugene Borgida in Personality and Social Psychology Bulletin
Dissipative effects in odd viscous Stokes flow around a single sphere
Creators: name: Everts, Jeffrey C.
name: Cichocki, Bogdan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Odd viscosity (OV) is a transport coefficient in, for example, fluids of self-spinning (active) particles or electrons in an external magnetic field. The key feature of OV is that it does not contribute to dissipation in two spatial dimensions. In contrast, we explicitly show that in the three-dimensional case, OV can contribute indirectly to dissipation by modifying the fluid flow. We quantify the dissipation rate of a single spherical particle moving through a fluid with OV via an exact analytical solution of the generalised stationary creeping flow equations. Our results provide a novel way to quantify the effects of OV by measuring the solid-body motion of a single spherical particle. Moreover, we explicitly demonstrate how complex fluids can be designed in terms of their rheological properties by mixing passive particles with self-spinning active particles.
description: 7 pages, 2 figures, Supplemental Material can be found under ancillary files. v3: corrected an error in the expression for the rotational-rotational mobility tensor. This has been published as an erratum, see Phys. Rev. Lett. 133, 039902 (2024), which has been incorporated in the main text here
Additional file 6 of Early sex-dependent differences in metabolic profiles of overweight and adiposity in young children: a cross-sectional analysis
Creators: name: Azab, Sandi M
name: Shanmuganathan, Meera
name: de Souza, Russell J
name: Kroezen, Zachary
name: Desai, Dipika
name: Williams, Natalie C
name: Morrison, Katherine M
name: Atkinson, Stephanie A
name: Teo, Koon K
name: Azad, Meghan B
name: Simons, Elinor
name: Moraes, Theo J
name: Mandhane, Piush J
name: Turvey, Stuart E
name: Subbarao, Padmaja
name: Britz-McKibbin, Philip
name: Anand, Sonia S
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Chemical Sciences not elsewhere classified
subject: Cancer

description: Additional file 6: Table S5. Metabolomics of body mass index.
Exploring the Link between Prison Crowding and Inmate Misconduct: A Panel Data Analysis
Creators: name: Glazener, Emily Morgan
Publisher: name: Digital Repository at the University of Maryland
Year: 2016
Subjects: subject: Criminology
subject: FOS: Law
subject: Public policy
subject: Misconduct
subject: Prison
subject: Prison Crowding

description: Research on the impact of prison crowding on inmate misconduct is mixed, with studies finding positive, negative, and null results.  These inconsistencies may be due to the use of data restricted to one specific point in time as previous studies have heavily relied on cross-sectional methods.  These cross-sections may or may not be representative of longer-term trends, and they do not allow for the examination of changes over time.  To address this limitation, the current study utilizes state prison panel data to examine monthly within-institution changes.  Using modern data gathered from January 2012 through December 2014 from a large state correctional system, this study demonstrates the utility of examining this research question longitudinally.  Findings demonstrate that prison crowding leads to increases in misconduct rates, although this relationship diminishes after crowding reaches a certain threshold.  However, our data did not support the expected relationship between crowding and violent misconduct specifically.  Other time-varying factors were found to consistently predict misconduct and violence.  Policy implications and future directions are discussed.
Quantum-Noise-Driven Generative Diffusion Models
Creators: name: Parigi, Marco
name: Martina, Stefano
name: Caruso, Filippo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: I.2.6
subject: 81P68, 81P47, 68Q12, 68Q09

description: Generative models realized with machine learning techniques are powerful tools to infer complex and unknown data distributions from a finite number of training samples in order to produce new synthetic data. Diffusion models are an emerging framework that have recently overcome the performance of the generative adversarial networks in creating synthetic text and high-quality images. Here, we propose and discuss the quantum generalization of diffusion models, i.e., three quantum-noise-driven generative diffusion models that could be experimentally tested on real quantum systems. The idea is to harness unique quantum features, in particular the non-trivial interplay among coherence, entanglement and noise that the currently available noisy quantum processors do unavoidably suffer from, in order to overcome the main computational burdens of classical diffusion models during inference. Hence, we suggest to exploit quantum noise not as an issue to be detected and solved but instead as a very remarkably beneficial key ingredient to generate much more complex probability distributions that would be difficult or even impossible to express classically, and from which a quantum processor might sample more efficiently than a classical one. An example of numerical simulations for an hybrid classical-quantum generative diffusion model is also included. Therefore, our results are expected to pave the way for new quantum-inspired or quantum-based generative diffusion algorithms addressing more powerfully classical tasks as data generation/prediction with widespread real-world applications ranging from climate forecasting to neuroscience, from traffic flow analysis to financial forecasting.
description: 27 pages, 4 figures
Supplementary_table_2_TIDIER_checklist_table_of_studies - Comparing the impact of different exercise interventions on fatigue in individuals with COPD: A systematic review and meta-analysis
Creators: name: Lok Sze Katrina Li
name: Butler, Stacey
name: Goldstein, Roger
name: Brooks, Dina
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111702 Aged Health Care
subject: FOS: Health sciences
subject: 110203 Respiratory Diseases
subject: FOS: Clinical medicine

description: Supplementary_table_2_TIDIER_checklist_table_of_studies for Comparing the impact of different exercise interventions on fatigue in individuals with COPD: A systematic review and meta-analysis by Lok Sze Katrina Li, Stacey Butler, Roger Goldstein and Dina Brooks in Chronic Respiratory Disease
Supplemental Material, sj-pdf-1-jgp-10.1177_0891988720957099 - Effect of Employment Status on the Association Among Sleep, Care Burden, and Negative Affect in Family Caregivers
Creators: name: Ryuno, Hirochika
name: Yamaguchi, Yuko
name: Greiner, Chieko
Publisher: name: SAGE Journals
Year: 2023
Subjects: subject: 110308 Geriatrics and Gerontology
subject: FOS: Clinical medicine
subject: 110904 Neurology and Neuromuscular Diseases
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: Neuroscience

description: Supplemental Material, sj-pdf-1-jgp-10.1177_0891988720957099 for Effect of Employment Status on the Association Among Sleep, Care Burden, and Negative Affect in Family Caregivers by Hirochika Ryuno, Yuko Yamaguchi and Chieko Greiner in Journal of Geriatric Psychiatry and Neurology
Temporal Tracking Urban Areas using Google Street View
Creators: name: Najafizadeh, Ladan
Publisher: name: Digital Repository at the University of Maryland
Year: 2016
Subjects: subject: Computer science
subject: accessibility
subject: change detection
subject: urban tracking

description: Tracking the evolution of built environments is a challenging problem in computer vision due to the intrinsic complexity of urban scenes, as well as the dearth of temporal visual information from urban areas. Emerging technologies such as street view cars, provide massive amounts of high quality imagery data of urban environments at street-level (e.g., sidewalks, buildings, and aesthetics of streets). Such datasets are consistent with respect to space and time; hence, they could be a potential source for exploring the temporal changes transpiring in built environments. However, using street view images to detect temporal changes in urban scenes induces new challenges such as variation in illumination, camera pose, and appearance/disappearance of objects.

In this thesis, we leverage Google Street View’s new feature, “time machine”, to track and label the temporal changes of built environments, specifically accessibility features (e.g., existence of curb-ramps, condition of sidewalks). The main contributions of this thesis are: (i) initial proof-of-concept automated method for tracking accessibility features through panorama images across time, (ii) a framework for processing and analyzing time series panoramas at scale, and (iii) a geo-temporal dataset including different types of accessibility features for the task of detection.
Attachment Security and Caregiving Scripts: Links to Prosocial Comforting
Creators: name: Martin, David R.
Publisher: name: Digital Repository at the University of Maryland
Year: 2016
Subjects: subject: Developmental psychology
subject: Attachment
subject: Caregiving
subject: Prosocial Comforting

description: Prosocial behavior is a key marker of healthy social development in children. Studies consistently find that attachment security is an important predictor of children’s prosocial behavior. Studies investigating mechanisms that explain this relation are not necessary for understanding prosocial development. The goal of this study was to investigate a proposed mechanism, caregiving scripts, that might explain the relation between attachment security and prosocial comforting. A community sample of four-year old children (n = 88) completed a series of lab tasks assessing their attachment security, caregiving script knowledge, and response to an experimenter’s distress. Results reveal that attachment security predicted children’s comforting behavior and caregiving script knowledge. However, contrary to hypotheses, caregiving scripts did not mediate the relation between attachment security and prosocial comforting These findings are partially consistent with previous results and suggest that further study is necessary to understand the function of the caregiving script.
Effects of Salinity on Settlement and Metamorphosis of the Eastern Oyster (Crassostrea virginica)
Creators: name: Priester, Anna Priester
Publisher: name: Digital Repository at the University of Maryland
Year: 2016
Subjects: subject: Biology
subject: Ecology
subject: FOS: Biological sciences
subject: larvae
subject: metamorphosis
subject: oyster
subject: salinity
subject: settlement

description: The eastern oyster (Crassostrea virginica) is a euryhaline species known for its historic populations, valuable fishery, and ecological importance. One of the most critical periods in the oyster’s life cycle is its transition from a free-swimming pelagic larva into its sessile benthic form. Despite the importance of this transition, which includes attachment to a substrate (settlement) and metamorphosis into the juvenile, our understanding of salinity tolerance during these processes is limited. This study was designed to quantify the effects of salinity on settlement and metamorphosis and to determine if those effects were influenced by the salinity in which the larvae were reared. Multiple cohorts of pediveliger larvae from hatcheries grown in Low (10), Medium (15-16.5) and High (22-27.5) salinities were allowed four days to settle in twelve salinity treatments ranging from 5 to 35. A set of additional experiments was extended to 14 days to investigate if the settlers were also able to complete metamorphosis and demonstrate juvenile growth within the same range of salinities. Settlement consistently occurred all tested salinities (5-35), indicating that pediveliger larvae can adapt to a broader salinity range than described in previous research. Highest settlement rates were achieved in treatment salinities between 11 and 30 for all three larval groups. Settlement performance outside that optimal range was highest for the larvae group reared in salinities closest to those extremes. Settlers from the 14-day experiments demonstrated metamorphosis and high post-settlement survivorship in all salinity treatments, but juvenile growth rates were reduced in salinities less than 9 and above 30. This highly repeated study reveals the impressive capacity for pediveliger larvae to tolerate a wide range of salinities and has direct implications for oyster aquaculture and our understanding of natural recruitment.
Performance-Sensitive Potential Functions for Efficient Flow of Connected and Automated Vehicles
Creators: name: Tzortzoglou, Filippos N.
name: Theodosis, Dionysios
name: Dave, Aditya
name: Malikopoulos, Andreas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Connected and automated vehicles (CAVs) provide the most intriguing opportunity for enabling users to monitor transportation network conditions and make better decisions for improving safety and transportation efficiency. In this paper, we address the problem of effectively coordinating CAVs on lane-based roadways. Our approach utilizes potential functions to generate repulsive forces between CAVs that ensure collision avoidance. However, such potential functions can lead to unrealistic acceleration profiles and large inter-vehicle distances. The primary contribution of this work is the introduction of performance-sensitive potential functions to address these challenges. In our approach, the parameters of a potential function are determined through an optimization problem aiming to reduce both acceleration and inter-vehicle distances. To circumvent the computational implications due to the complexity of the resulting optimization problem that prevents the derivation of a real-time solution, we train a neural network model to learn the mapping of initial conditions to optimal parameters derived offline. Then, we prove sufficient criteria for the sampled-data model to ensure that the neural network output does not activate any of the state and safety constraints. Finally, we provide simulation results to demonstrate the effectiveness of the proposed approach.
Additional file 1 of Multidisciplinary physician survey assessing knowledge of the female athlete triad and relative energy deficiency in sport
Creators: name: Warrick, Alexandra E.
name: Hassid, Brandon
name: Coleman, Brandon
name: Cansino, Catherine
name: Faustin, Marcia
Publisher: name: figshare
Year: 2024
Subjects: Biophysics
Medicine
Biotechnology
Science Policy

description: Additional file 1. Triad and RED-S Comparison—Educational Handout.
online supplementary file 1 - Supplemental material for Perioperative and Long-Term Outcomes of Robot-Assisted Partial Nephrectomy: A Systematic Review
Creators: name: Tang, Amber B.
name: Lamaina, Margherita
name: Childers, Christopher P.
name: Mak, Selene S.
name: Ruan, Qiao
name: Begashaw, Meron M.
name: Bergman, Jonathan
name: Booth, Marika S.
name: Shekelle, Paul G.
name: Wilson, Mark
name: Gunnar, William
name: Maggard-Gibbons, Melinda
name: Girgis, Mark D.
Publisher: name: SAGE Journals
Year: 2020
Subjects: Surgery

description: Supplemental material, online supplementary file 1, for Perioperative and Long-Term Outcomes of Robot-Assisted Partial Nephrectomy: A Systematic Review by Amber B. Tang, Margherita Lamaina, Christopher P. Childers, Selene S. Mak, Qiao Ruan, Meron M. Begashaw, Jonathan Bergman, Marika S. Booth, Paul G. Shekelle, Mark Wilson, William Gunnar, Melinda Maggard-Gibbons and Mark D. Girgis in The American Surgeon
LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor Localization
Creators: name: Yaman, Ilayda
name: Tian, Guoda
name: Tegler, Erik
name: Gulin, Jens
name: Challa, Nikhil
name: Tufvesson, Fredrik
name: Edfors, Ove
name: Astrom, Kalle
name: Malkowsky, Steffen
name: Liu, Liang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Signal Processing (eess.SP)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: We present a unique comparative analysis, and evaluation of vision, radio, and audio based localization algorithms. We create the first baseline for the aforementioned sensors using the recently published Lund University Vision, Radio, and Audio (LuViRA) dataset, where all the sensors are synchronized and measured in the same environment. Some of the challenges of using each specific sensor for indoor localization tasks are highlighted. Each sensor is paired with a current state-of-the-art localization algorithm and evaluated for different aspects: localization accuracy, reliability and sensitivity to environment changes, calibration requirements, and potential system complexity. Specifically, the evaluation covers the ORB-SLAM3 algorithm for vision-based localization with an RGB-D camera, a machine-learning algorithm for radio-based localization with massive MIMO technology, and the SFS2 algorithm for audio-based localization with distributed microphones. The results can serve as a guideline and basis for further development of robust and high-precision multi-sensory localization systems, e.g., through sensor fusion, context, and environment-aware adaptation.
description: 10 pages, 11 figures
Additional file 1 of Community engagement processes in low- and middle-income countries health research settings: a systematic review of the literature
Creators: name: Mthembu, Zinhle
name: Mogaka, John J. O.
name: Chimbari, Moses J.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Science Policy

description: Additional file 1: Supplementary Table 1. Study quality assessment and appraisal table.
Additional file 1 of Facile solvent-free modified biochar for removal of mixed steroid hormones and heavy metals: isotherm and kinetic studies
Creators: name: Amusat, Sefiu Olaitan
name: Kebede, Temesgen Girma
name: Nxumalo, Edward Ndumiso
name: Dube, Simiso
name: Nindi, Mathew Muzi
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: Additional file 1: Figure S1. Langmuir adsorption isotherm plot for (a) Ni, (b) Cd, and (c) Pb, and Freundlich adsorption isotherm plot for (d) Ni, (e) Cd, and (f) Pb. Figure S2. Freundlich adsorption isotherm for (a) Estriol, (b) α-Estradiol, (C) β-Estradiol, (d) Testosterone, (e) Progesterone (f) Bisphenol A hormones by ball milled biochar.Figure S3. Langmuir adsorption isotherm for (a) Estriol, (b) α-Estradiol, (C) β-Estradiol, (d) Testosterone, (e) Progesterone (f) Bisphenol A hormones by ball milled biochar. Figure S4. Pseudo-first-order kinetics for (a) Estriol, (b) α-Estradiol, (C) β-Estradiol, (d) Testosterone, (e) Progesterone (f) Bisphenol A hormones by ball milled biochar. Figure S5. Pseudo-second-order kinetics for (a) Estriol, (b) α-Estradiol, (C) β-Estradiol, (d) Testosterone, (e) Progesterone (f) Bisphenol A hormones by ball milled biochar.
Routing in Mixed Transportation Systems for Mobility Equity
Creators: name: Bang, Heeseung
name: Dave, Aditya
name: Malikopoulos, Andreas A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This letter proposes a routing framework in mixed transportation systems for improving mobility equity. We present a strategic routing game that governs interactions between compliant and noncompliant vehicles, where noncompliant vehicles are modeled with cognitive hierarchy theory. Then, we introduce a mobility equity metric (MEM) to quantify the accessibility and fairness in the transportation network. We integrate the MEM into the routing framework to optimize it with adjustable weights for different transportation modes. The proposed approach bridges the gap between technological advancements and societal goals in mixed transportation systems to enhance efficiency and equity. We provide numerical examples and analysis of the results.
description: 6 pages, 5 figures
Viscous torque in turbulent magnetized AGN accretion disks and its effects on EMRI's gravitational waves
Creators: name: Nouri, Fatemeh Hossein
name: Janiuk, Agnieszka
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The merger of supermassive black holes (SMBHs) produces mHz gravitational waves (GW), which are potentially detectable by future Laser Interferometer Space Antenna (LISA). Such binary systems are usually embedded in an accretion disk environment at the centre of the active galactic nucleus (AGN). Recent studies suggest the plasma environment imposes measurable imprints on the GW signal if the mass ratio of the binary is around q $ \sim10^{-4}-10^{-3}$. The effect of the gaseous environment on the GW signal is strongly dependent on the disk's parameters, therefore it is believed that future low-frequency GW detections will provide us with precious information about the physics of AGN accretion disks. We investigate this effect by measuring the viscous torque via modelling the evolution of magnetized tori around the primary massive black hole. Using GRMHD HARM-COOL code, we perform 2D and 3D simulations of weakly-magnetized thin accretion disks, with a possible truncation and transition to advection-dominated accretion flow (ADAF). We study the angular momentum transport and turbulence generated by magnetorotational instability (MRI). We quantify the disk's effective alpha viscosity and its evolution over time. We apply our numerical results to quantify the relativistic viscous torque on a hypothetical low-mass secondary black hole via a 1D analytical approach, and we estimate the GW phase shift due to the gas environment.
description: Submitted to A&A