cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Existence of a minimizer to the particle number-Casimir functional for the Einstein-Vlasov system
Creators: name: Andréasson, Håkan
name: Kunze, Markus
Publisher: name: arXiv
Year: 2024
Subjects: subject: Analysis of PDEs (math.AP)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: In 2001 Wolansky \cite{Wol} introduced a particle number-Casimir functional for the Einstein-Vlasov system. Two open questions are associated with this functional. First, a meaningful variational problem should be formulated and the existence of a minimizer to this problem should be established. The second issue is to show that a minimizer, for some choice of the parameters, is a static solution of the Einstein-Vlasov system. In the present work we solve the first problem by proving the existence of a minimizer to the particle number-Casimir functional. On the technical side, it is a main achievement that we are able to bypass the non-compactness of minimizing sequences by new arguments in both $v$-space and $x$-space, which might have several further applications. We note that such compactness results for the Einstein-Vlasov system have been absent in the literature, whereas similar results have been known in the Newtonian case. We also provide arguments which give strong support that minimizers corresponding to small masses are static solutions of the Einstein-Vlasov system. Furthermore, our analysis leads us to propose a new stability criterion for static solutions: We conjecture that a static solution for which the Casimir-binding energy is positive is stable for mass-preserving perturbations.
description: 51 pages
Real-time scattering in the lattice Schwinger model
Creators: name: Papaefstathiou, Irene
name: Knolle, Johannes
name: Bañuls, Mari Carmen
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Tensor network methods have demonstrated their suitability for the study of equilibrium properties of lattice gauge theories, even close to the continuum limit. We use them in an out-of-equilibrium scenario, much less explored so far, by simulating the real-time collisions of composite mesons in the lattice Schwinger model. Constructing wave-packets of vector mesons at different incoming momenta, we observe the opening of the inelastic channel in which two heavier mesons are produced and identify the momentum threshold. To detect the products of the collision in the strong coupling regime we propose local quantitites that could be measured in current quantum simulation platforms.
description: 11 pages, 6 figures
ADVANCED CHARACTERIZATIONS FOR THE IDENTIFICATION OF CATALYST STRUCTURES AND REACTION INTERMEDIATES
Creators: name: Libretto, Nicole J
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Reaction engineering (excl. nuclear reactions)
Chemical engineering not elsewhere classified

description: In recent decades, alternatives to traditional coal and fossil fuels were utilized to reduce carbon emissions. Among these alternatives, natural gas is a cleaner fuel and is abundant globally. Shale gas, a form of natural gas that also contains light alkanes (C2-C4), is presently being employed to produce olefins, which can be upgraded to higher molecular weight hydrocarbons. This thesis describes efforts to develop new catalytic materials and characterizations for the conversion of shale gas to fuels. In the first half, silica supported Pt-Cr alloys containing varying compositions of Pt and Pt3Cr were used for propane dehydrogenation at 550°C. Although a change in selective performance was observed on catalysts with varying promoter compositions, the average nano-particle structures determined by in situ, synchrotron x-ray absorption spectroscopy (XAS) and x-ray diffraction (XRD) were identical. Further, this work presents a method for the characterization of the catalytic surface by these methods to understand its relationship with olefin selectivity. From this, we can gain an atomically precise control of new alloys compositions with tunable surface structures. Once formed by dehydrogenation, the intermediate olefins are converted to fuel-range hydrocarbons. In the second half, previously unknown single site, main group Zn2+ and Ga3+ catalysts are shown to be effective for oligomerization and the resulting products follow a Schutlz Flory distribution. Mechanistic studies suggest these catalysts form metal hydride and metal alkyl reaction intermediates and are active for olefin insertion and b-H elimination elementary steps, typical for the homogeneous, Cossee-Arlman oligomerization mechanism. Evidence of metal hydride and metal alkyl species were observed by XAS, Fourier transform infrared spectroscopy (FTIR), and H2/D2 isotope exchange. Understanding the reaction intermediates and elementary steps is critical for identifying novel oligomerization catalysts with tunable product selectivity for targeted applications. Through controlled synthesis and atomic level in situ characterizations, new catalysts compositions can be developed with high control over the resulting performance. An atomically precise control of the catalyst structure and understanding how it evolves under reaction conditions can help shed light on the fundamental principles required for rational catalyst design.
Additional file 1 of Implementing advance care planning in palliative and end of life care: a scoping review of community nursing perspectives
Creators: name: Wilkin, Katie
name: Fang, Mei Lan
name: Sixsmith, Judith
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy

description: Supplementary Material 1.
Atypical Mass Spectrometry Approaches for Unknown Analyte Identification in Complex Mixtures
Creators: name: Easterling, Leah Felice
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Analytical chemistry not elsewhere classified

description: This dissertation details three studies which utilize nontraditional applications of electrospray ionization mass spectrometry. The first study explores and discusses the limitations of identifying unknown drug metabolites using ion-molecule reactions performed inside a mass spectrometer and coupled with high performance liquid chromatography. Ultimately, it was concluded that some highly-efficient, MS2 ion-molecule reactions coupled with some drug metabolites would be sufficiently sensitive for in vivo drug metabolism studies. However, this study also concluded that the rate of false-positives and false-negatives may be higher than previous publications suggest.
The next study analyzed sulfur-containing compounds under atypical negative mode electrospray ionization mass spectrometry conditions. After noting that low analyte flow rates during electrospray ionization experiments on ethanethiol resulted in significant oxygen incorporation, the aim of this study was to understand the chemistry behind the oxygen incorporation and search for ways to experimentally limit the degree of oxygen inclusion. The atypical conditions were ultimately shown to induce significant ozonolysis and other oxidation reactions. Ultimately, only the use of high flow rates or switching to a different ionization technique were successful in mitigating the oxidation product formation. A new reaction mechanism for the oxidation of ethanethiol with ozone was proposed. Quantum chemical calculations were used to support the mechanism.
Finally, electrospray ionization mass spectrometry was used to analyze mixtures of selenium and/or tellurium in amine-thiol solvent systems. Selenium and tellurium are essential components in many thin film solar cells and other photovoltaics and amine-thiol solvent systems have been identified as a key solution processing strategy for synthesizing selenium and tellurium thin films. However, the reaction between selenium/tellurium and the amine-thiol solvent system is poorly understood and requires detailed study before large-scale industrial synthesis can be achieved. In this study, the dissolution mechanisms for selenium and tellurium in two different amine-thiol solvent systems were explored and discussed. The role of the basicity of the amine, the relative concentrations of the thiol, and the presence of co-dissolved chalcogens were all studied and used to propose dissolution mechanisms. The results of the experiments were used to control the synthesis of lead-selenium-tellurium alloy nanoparticles and could inform further studies on controlling metal chalcogenide synthesis through the appropriate choice of amine-thiol solvents.
Analysis and Fully Memristor-based Reservoir Computing for Temporal Data Classification
Creators: name: Singh, Ankur
name: Choi, Sanghyeon
name: Wang, Gunuk
name: Daimari, Maryaradhiya
name: Lee, Byung-Geun
Publisher: name: arXiv
Year: 2024
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Reservoir computing (RC) offers a neuromorphic framework that is particularly effective for processing spatiotemporal signals. Known for its temporal processing prowess, RC significantly lowers training costs compared to conventional recurrent neural networks. A key component in its hardware deployment is the ability to generate dynamic reservoir states. Our research introduces a novel dual-memory RC system, integrating a short-term memory via a WOx-based memristor, capable of achieving 16 distinct states encoded over 4 bits, and a long-term memory component using a TiOx-based memristor within the readout layer. We thoroughly examine both memristor types and leverage the RC system to process temporal data sets. The performance of the proposed RC system is validated through two benchmark tasks: isolated spoken digit recognition with incomplete inputs and Mackey-Glass time series prediction. The system delivered an impressive 98.84% accuracy in digit recognition and sustained a low normalized root mean square error (NRMSE) of 0.036 in the time series prediction task, underscoring its capability. This study illuminates the adeptness of memristor-based RC systems in managing intricate temporal challenges, laying the groundwork for further innovations in neuromorphic computing.
description: 22 pages, 20 figures, Journal, Typo corrected and updated reference
Evolving disorder and chaos enhances the wave speed of elastic waves
Creators: name: Ahumada, M.
name: Trujillo, L.
name: Marín, J. F.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Static or frozen disorder, characterised by spatial heterogeneities, influences diverse complex systems, encompassing many-body systems, equilibrium and nonequilibrium states of matter, intricate network topologies, biological systems, and wave-matter interactions. While static disorder has been thoroughly examined, delving into evolving disorder brings increased intricacy to the issue. An example of this complexity is the observation of stochastic acceleration of electromagnetic waves in evolving media, where noisy fluctuations in the propagation medium transfer effective momentum to the wave. Here, we investigate elastic wave propagation in a one-dimensional heterogeneous medium with diagonal disorder. We examine two types of complex elastic materials: one with static disorder, where mass density randomly varies in space, and the other with evolving disorder, featuring random variations in both space and time. Our results indicate that evolving disorder enhances the propagation speed of Gaussian pulses compared to static disorder. Additionally, we demonstrate that the enhanced speed effect also occurs when the medium evolves chaotically rather than randomly over time. The latter establishes that evolving randomness is not a unique prerequisite for observing the enhanced transport of wavefronts, introducing the concept of chaotic speed enhancement of waves in complex media.
description: Article accepted in Journal of Statistical Mechanics: Theory and Experiment. 21 pages, 5 figures
Opinion inertia and coarsening in the Persistent Voter model
Creators: name: Latoski, Luis Carlos F.
name: Dantas, W. G.
name: Arenzon, Jeferson J.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We consider the Persistent Voter model (PVM), a variant of the Voter model (VM) that includes transient, dynamically-induced zealots. Due to peer reinforcement, the internal confidence $η_i$ of a normal voter increases by steps of size $Δη$ and once it gets above a given threshold, it becomes a zealot. Then, its opinion remains frozen until enough interactions with the opposite opinion occur and its confidence is reset. No longer a zealot, the regular voter may change opinion once again. This opinion inertia mechanism, albeit simplified, is responsible for an effective surface tension and the PVM has a crossover from a fluctuation-driven dynamics, as in the VM, to a curvature-driven one, as in the Ising Model at low temperature (IM0). The average time $τ$ to attain consensus is non-monotonic on $Δη$ and has a minimum at $Δη_{\min}$. In this paper we clarify the mechanisms that accelerate the system towards consensus close to $Δη_{\min}$. Close to the crossover at $Δη_{\min}$, the intermediate region around the domains where the regular voters accumulate (the active region, AR) is large and the surface tension, albeit small, is still enough to keep the shape and reduce the fragmentation of the domains. The large size of the AR in the region of $Δη_{\min}$ has two important effects that accelerates the dynamics. First, it dislodges the zealots in the bulk of the domains and second, it maximally suppresses the slowly-evolving stripes that normally form in Ising-like models. This suggests the importance of understanding the role of the AR, where the change of opinion is facilitated, and the interplay between regular voters and zealots when attempting to disrupt polarized states.
description: 8 pages
Estola ruficeps Breuning 1943
Creators: name: Bezark, Larry G.
name: Santos-Silva, Antonio
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Cerambycidae
Estola
Estola ruficeps

description: Estola ruficeps Breuning, 1943
(Fig. 7-9)
Estola ruficeps Breuning, 1943: 56; Monné, 2023: 609 (cat.).
Remarks. – This species was described based on a single specimen from French Guiana. Monné (2023) and Tavakilian & Chevillotte (2023) reported that the holotype is a female. Although Breuning (1943, 1974) did not indicate the sex of the specimen, the photograph of the holotype (Fig. 9) shows that the holotype is a female.
Material examined
BRAZIL (new country record), Amazonas: Manaus, BR173, km 64, 1 male (MZSP 60538), 20.VI.1984, Milan Hrabovsky leg. (MZSP).
description: Published as part of Bezark, Larry G. & Santos-Silva, Antonio, 2024, New World Lamiinae (Coleoptera, Cerambycidae): new species, new records, and notes, pp. 1-11 in Faunitaxys 12 (6) on page 6, DOI: 10.57800/faunitaxys-12(6), http://zenodo.org/record/15352685
Additional file 2 of Testing the effects of passive integrated transponder (PIT) tags on survival, growth, and tag retention of common nase (Chondrostoma nasus L.) and European barbel (Barbus barbus L.)
Creators: name: Nagel, Christoffer
name: Droll, Jan
name: Kroemer, Katharina
name: Pander, Joachim
name: Geist, Juergen
Publisher: name: figshare
Year: 2024
Subjects: subject: Neuroscience
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 2: Results of ANOVA testing of length-weight relationships in comparisons between treatment and the respective control groups at the three assessed time points (start, intermediate, end).
Supplementary Methods for ERJ Open Research article "Direct assessment of airway microbiota in primary ciliary dyskinesia end-stage lung disease"
Creators: name: Taylor, Steven
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 320701
subject: Medical bacteriology

description: Supplementary Methods of manuscript "Direct assessment of airway microbiota in primary ciliary dyskinesia end-stage lung disease" published in ERJ Open Research. Study performed microbiome and whole genome sequencing assessment of sputum and lung tissue in primary ciliary dyskinesia. Identified rapid replacement by a single P. aeruginosa clone during end-stage lung disease.
Early quantum computing applications on the path towards precision medicine
Creators: name: Flöther, Frederik F.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantitative Methods (q-bio.QM)
subject: Quantum Physics (quant-ph)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: The last few years have seen rapid progress in transitioning quantum computing from lab to industry. In healthcare and life sciences, more than 40 proof-of-concept experiments and studies have been conducted; an increasing number of these are even run on real quantum hardware. Major investments have been made with hundreds of millions of dollars already allocated towards quantum applications and hardware in medicine. In addition to pharmaceutical and life sciences uses, clinical and medical applications are now increasingly coming into the picture. This chapter focuses on three key use case areas associated with (precision) medicine, including genomics and clinical research, diagnostics, and treatments and interventions. Examples of organizations and the use cases they have been researching are given; ideas how the development of practical quantum computing applications can be further accelerated are described.
sj-pdf-1-asp-10.1177_00037028211031618 - Supplemental material for Classification of Semiconductors Using Photoluminescence Spectroscopy and Machine Learning
Creators: name: Yu, Yinchuan
name: McCluskey, Matthew D.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental material, sj-pdf-1-asp-10.1177_00037028211031618 for Classification of Semiconductors Using Photoluminescence Spectroscopy and Machine Learning by Yinchuan Yu and Matthew D. McCluskey in Applied Spectroscopy
ORTHOGONAL POLYNOMIALS ON S-CURVES ASSOCIATED WITH GENUS ONE SURFACES
Creators: name: Barhoumi, Ahmad Bassam
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Mathematical physics not elsewhere classified
Approximation theory and asymptotic methods

description: We consider orthogonal polynomials P_n satisfying orthogonality relations where the measure of orthogonality is, in general, a complex-valued Borel measure supported on subsets of the complex plane. In our consideration we will focus on measures of the form d\mu(z) = \rho(z) dz where the function \rho may depend on other auxiliary parameters. Much of the asymptotic analysis is done via the Riemann-Hilbert problem and the Deift-Zhou nonlinear steepest descent method, and relies heavily on notions from logarithmic potential theory.
On a variational problem related to the Cwikel-Lieb-Rozenblum and Lieb-Thirring inequalities
Creators: name: Corso, Thiago Carvalho
name: Ried, Tobias
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mathematical Physics (math-ph)
subject: Analysis of PDEs (math.AP)
subject: Complex Variables (math.CV)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: Primary 35P15, Secondary 81Q10, 30D05

description: We explicitly solve a variational problem related to upper bounds on the optimal constants in the Cwikel--Lieb--Rozenblum (CLR) and Lieb--Thirring (LT) inequalities, which has recently been derived in [Invent. Math. 231 (2023), no.1, 111-167. https://doi.org/10.1007/s00222-022-01144-7 ] and [J. Eur. Math. Soc. (JEMS) 23 (2021), no.8, 2583-2600. https://doi.org/10.4171/jems/1062 ]. We achieve this through a variational characterization of the $L^1$ norm of the Fourier transform of a function and duality, from which we obtain a reformulation in terms of a variant of the Hadamard three lines lemma. By studying Hardy-like spaces of holomorphic functions in a strip in the complex plane, we are able to provide an analytic formula for the minimizers, and use it to get the best possible upper bounds for the optimal constants in the CLR and LT inequalities achievable by the method of [Invent. Math. 231 (2023), no.1, 111-167. https://doi.org/10.1007/s00222-022-01144-7 ] and [J. Eur. Math. Soc. (JEMS) 23 (2021), no.8, 2583-2600. https://doi.org/10.4171/jems/1062 ].
description: Corrected a few typos
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
Creators: name: Arrotta, Luca
name: Bettini, Claudio
name: Civitarese, Gabriele
name: Fiori, Michele
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Context-aware Human Activity Recognition (HAR) is a hot research area in mobile computing, and the most effective solutions in the literature are based on supervised deep learning models. However, the actual deployment of these systems is limited by the scarcity of labeled data that is required for training. Neuro-Symbolic AI (NeSy) provides an interesting research direction to mitigate this issue, by infusing common-sense knowledge about human activities and the contexts in which they can be performed into HAR deep learning classifiers. Existing NeSy methods for context-aware HAR rely on knowledge encoded in logic-based models (e.g., ontologies) whose design, implementation, and maintenance to capture new activities and contexts require significant human engineering efforts, technical knowledge, and domain expertise. Recent works show that pre-trained Large Language Models (LLMs) effectively encode common-sense knowledge about human activities. In this work, we propose ContextGPT: a novel prompt engineering approach to retrieve from LLMs common-sense knowledge about the relationship between human activities and the context in which they are performed. Unlike ontologies, ContextGPT requires limited human effort and expertise. An extensive evaluation carried out on two public datasets shows how a NeSy model obtained by infusing common-sense knowledge from ContextGPT is effective in data scarcity scenarios, leading to similar (and sometimes better) recognition rates than logic-based approaches with a fraction of the effort.
Enacting Agency: Understanding How First-Generation College Students’ Personal Agency Supports Disciplinary Role Identities and Engineering Agency Beliefs
Creators: name: Verdin, Dina
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Other engineering not elsewhere classified
Other education not elsewhere classified

description: This dissertation is a three study format. In this dissertation, I used an explanatory sequential mixed method design. Study 1 develops a measurement scale to capture first-generation college students’ agency using the constructs of intentionality, forethought, self-reactiveness, and self-reflectiveness. Study 2 used structural equation modeling to establish a relationship between personal agency, disciplinary role identities, and students’ desire to enact engineering agency. Study 3 was a narrative analysis of how Kitatoi, a Latina, first-generation college student, authored her identity as an engineer. Data for study 1 and 2 came from a survey administered in the Fall of 2017 of 3,711 first-year engineering students across 32 ABET universities.
sj-pdf-1-tai-10.1177_20499361211033715 – Supplemental material for A systematic review of historical and current trends in Chagas disease
Creators: name: Álvarez-Hernández, Diego-Abelardo
name: García-Rodríguez-Arana, Rodolfo
name: Ortiz-Hernández, Alejandro
name: Álvarez-Sánchez, Mariana
name: Wu, Meng
name: Mejia, Rojelio
name: Martínez-Juárez, Luis-Alberto
name: Montoya, Alejandra
name: Gallardo-Rincon, Héctor
name: Vázquez-López, Rosalino
name: Fernández-Presas, Ana-María
Publisher: name: SAGE Journals
Year: 2021
Subjects: Nursing not elsewhere classified
Paediatrics
Pharmacology and Pharmaceutical Sciences not elsewhere classified
Public Health and Health Services not elsewhere classified
Respiratory Diseases

description: Supplemental material, sj-pdf-1-tai-10.1177_20499361211033715 for A systematic review of historical and current trends in Chagas disease by Diego-Abelardo Álvarez-Hernández, Rodolfo García-Rodríguez-Arana, Alejandro Ortiz-Hernández, Mariana Álvarez-Sánchez, Meng Wu, Rojelio Mejia, Luis-Alberto Martínez-Juárez, Alejandra Montoya, Héctor Gallardo-Rincon, Rosalino Vázquez-López and Ana-María Fernández-Presas in Therapeutic Advances in Infectious Disease
Additional file 1 of Testing the effects of passive integrated transponder (PIT) tags on survival, growth, and tag retention of common nase (Chondrostoma nasus L.) and European barbel (Barbus barbus L.)
Creators: name: Nagel, Christoffer
name: Droll, Jan
name: Kroemer, Katharina
name: Pander, Joachim
name: Geist, Juergen
Publisher: name: figshare
Year: 2024
Subjects: subject: Neuroscience
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Results of statistical testing of survival rates in pairwise comparisons between treatment and the respective control groups. Note: Only survival data of small nase met the requirements for parametric testing.
Rational Gluing in Edge Replacement Systems
Creators: name: Perego, Davide
name: Tarocchi, Matteo
Publisher: name: arXiv
Year: 2024
Subjects: subject: Group Theory (math.GR)
subject: Metric Geometry (math.MG)
subject: FOS: Mathematics
subject: 20F65 (Primary), 28A80, 68Q45, 37B10, 51F99 (Secondary)

description: In this paper, we prove the rationality of the gluing relation of edge replacement systems, which were introduced for studying rearrangement groups of fractals. More precisely, we describe an algorithmic procedure for building a finite state automaton that recognizes pairs of equivalent sequences that are glued in the fractal. This fits in recent interest towards the rationality of gluing relations on totally disconnected compact metrizable spaces.
description: Final version, section and theorem numbering as published. 14 pages
Solitary fibrous tumor of the chest wall: case report
Creators: name: Bouziane, Asmae
Publisher: name: EURORAD
Year: 2017
Subjects: subject: Thoracic wall
subject: CT
subject: MR
subject: Contrast agent-intravenous
subject: Imaging sequences
subject: Calcifications / Calculi
subject: Neoplasia

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: male, 37 years
description: Clinical History: A 37-year-old male presented with an enormous chest mass. It debuted with a slightly painful swelling which grew progressively in two years. It was initially developed in the left breast area and extended afterward to the lateral aspect of the chest wall. Final Diagnosis: Solitary fibrous tumor
A perturbative approach to the non-relativistic string spectrum
Creators: name: de Leeuw, Marius
name: Fontanella, Andrea
name: García, Juan Miguel Nieto
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In this letter we use a perturbative approach to find the spectrum of non-relativistic strings in the String Newton-Cartan (SNC) AdS$_5\times$S$^5$ spacetime. We perturb the bosonic sector of the action around a BMN-like folded string solution in light-cone gauge. We find strong evidence that the theory is described by a combination of massive and massless free fields in an anti-de Sitter background by showing that interaction terms up to six scalars vanish after field redefinitions.
description: 11 pages. v2: match published version
sj-pdf-1-gam-10.1177_21649561211037594 - Supplemental material for Integrative Medicine in General Practice in Australia: A Mixed-Methods Study Exploring Education Pathways and Training Needs
Creators: name: Ee, Carolyn
name: Templeman, Kate
name: Forth, Amy
name: Kotsirilos, Vicki
name: Singleton, Gillian
name: Deed, Gary
name: Dubois, Shamieka
name: Pirotta, Marie
name: Harnett, Joanna
name: Myers, Stephen
name: Hunter, Jennifer
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Medicine
subject: 111799 Public Health and Health Services not elsewhere classified

description: Supplemental material, sj-pdf-1-gam-10.1177_21649561211037594 for Integrative Medicine in General Practice in Australia: A Mixed-Methods Study Exploring Education Pathways and Training Needs by Carolyn Ee PhD, MMed, BAppSc, MBBS Kate Templeman Vicki Kotsirilos Jennifer Hunter PhD, MScPH, BMed in Global Advances in Health and Medicine
Primal Methods for Variational Inequality Problems with Functional Constraints
Creators: name: Zhang, Liang
name: He, Niao
name: Muehlebach, Michael
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optimization and Control (math.OC)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: Variational inequality problems are recognized for their broad applications across various fields including machine learning and operations research. First-order methods have emerged as the standard approach for solving these problems due to their simplicity and scalability. However, they typically rely on projection or linear minimization oracles to navigate the feasible set, which becomes computationally expensive in practical scenarios featuring multiple functional constraints. Existing efforts to tackle such functional constrained variational inequality problems have centered on primal-dual algorithms grounded in the Lagrangian function. These algorithms along with their theoretical analysis often require the existence and prior knowledge of the optimal Lagrange multipliers. In this work, we propose a simple primal method, termed Constrained Gradient Method (CGM), for addressing functional constrained variational inequality problems, without requiring any information on the optimal Lagrange multipliers. We establish a non-asymptotic convergence analysis of the algorithm for Minty variational inequality problems with monotone operators under smooth constraints. Remarkably, our algorithms match the complexity of projection-based methods in terms of operator queries for both monotone and strongly monotone settings, while using significantly cheaper oracles based on quadratic programming. Furthermore, we provide several numerical examples to evaluate the efficacy of our algorithms.
Feeding Of Supermassive Black Holes: From The Accretion Disk To 100 Pc Scales
Creators: name: Storchi-Bergmann, Thaisa
Publisher: name: Zenodo
Year: 2017
Subjects: Quasars
AGN
Host

description: Observational signatures of the feeding processes of Supermassive Black Holes in two spatial scales: unresolved scales of the accretion disk (~1000 gravitational radii) and resolved gas kinematics of the inner few hundred parsecs of nearby Active Galactic Nuclei hosts.
title: Journal of Facade Design and Engineering, Vol 5 No 2 (2017): Special Issue ICBEST Istanbul
title: Special Issue ICBEST Istanbul
titleType: AlternativeTitle
Creators: name: Journal Of Facade Design And Engineering
Publisher: name: Journal of Facade Design and Engineering
Year: 2017

description: E2VENT – design and integration of an adaptable module for residential building renovation...7-23
 An innovative app for a parametric, holistic and multidisciplinary approach to early design stages...113-127
 ICBEST Istanbul - Interdisciplinary perspectives for future building envelopes...5-6
 Used building materials as secondary resources – Identification of valuable building material and automized deconstruction...25-33
 Directions for the design of energy efficient kinematics in adaptive solar building envelopes...35-44
 Climate based daylight simulations with EvalDRC – analysis of Daylight Redirecting Components...45-57
 Modelling of active solar building envelopes for cost-effective evaluation...59-66
 A litterature review of experimental setups monitoring thermal performance of vegetated facade systems...67-85
 High-resolution data-driven models of Daylight Redirection Components...87-100
 Towards facades as  Make-To-Order products –  the role of Knowledge-Based-Engineering to support design...101-112
Complete universal scaling in first-order phase transitions
Creators: name: Zhong, Fan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Phase transitions and critical phenomena are among the most intriguing phenomena in nature and society. They are classified as first-order phase transitions (FOPTs) and continuous ones. While the latter show marvelous phenomena of scaling and universality, whether the former behaves similarly is a long-standing controversial issue. Here we definitely demonstrate complete universal scaling in field driven FOPTs for Langevin equations in both zero and two spatial dimensions by rescaling all parameters and subtracting extra contributions with singular dimensions from an effective temperature and a special field according to an effective theory that possesses a fixed point of a seemingly un-physical imaginary value. This offers a perspective different from the usual nucleation and growth but conforming to continuous phase transitions to study FOPTs.
description: 6 pages, 1 figure
Additional file 1 of Long-term outcomes after severe acute kidney injury in critically ill patients: the SALTO study
Creators: name: Chaïbi, Khalil
name: Ehooman, Franck
name: Pons, Bertrand
name: Martin-Lefevre, Laurent
name: Boulet, Eric
name: Boyer, Alexandre
name: Chevrel, Guillaume
name: Lerolle, Nicolas
name: Carpentier, Dorothée
name: de Prost, Nicolas
name: Lautrette, Alexandre
name: Bretagnol, Anne
name: Mayaux, Julien
name: Nseir, Saad
name: Megarbane, Bruno
name: Thirion, Marina
name: Forel, Jean-Marie
name: Maizel, Julien
name: Yonis, Hodane
name: Markowicz, Philippe
name: Thiery, Guillaume
name: Schortgen, Frédérique
name: Couchoud, Cécile
name: Dreyfuss, Didier
name: Gaudry, Stephane
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Science Policy

description: Additional file 1: Table S1. Current Chronic kidney disease Nomenclature used by KDIGO. Table S2. Univariate analysis of mortality predictors. Figure S1. Violin plot HRQL. Figure S2. EQ5D five dimensions of health in SALTO according to RRT strategy group. Figure S3. Schoenfeld residuals for proportional hazards assumption.
EVALUATION OF MODEL PREDICTIVE CONTROL METHOD FOR COLLISION AVOIDANCE OF AUTOMATED VEHICLES
Creators: name: Ozdemir, Hikmet Duygu
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Autonomous vehicle systems

description: Collision avoidance design plays an essential role in autonomous vehicle technology. It's an attractive research area that will need much experimentation in the future. This research area is very important for providing the maximum safety to automated vehicles, which have to be tested several times under different circumstances for safety before use in real life. This thesis proposes a method for designing and presenting a collision avoidance maneuver by using a model predictive controller with a moving obstacle for automated vehicles. It consists of a plant model, an adaptive MPC controller, and a reference trajectory. The proposed strategy applies a dynamic bicycle model as the plant model, adaptive model predictive controller for the lateral control, and a custom reference trajectory for the scenario design. The model was developed using the Model Predictive Control Toolbox and Automated Driving Toolbox in Matlab. Builtin tools available in Matlab/Simulink were used to verify the modeling approach and analyze the performance of the system. The major contribution of this thesis work was implementing a novel dynamic obstacle avoidance control method for automated vehicles. The study used validated parameters obtained from previous research. The novelty of this research was performing the studies using a MPC based controller instead of a sliding mode controller, that was primarily used in other studies. The results obtained from the study are compared with the validated models. The comparisons consisted of the lateral overlap,lateral error, and steering angle simulation results between the models. Additionally,this study also included outcomes for the yaw angle. The comparisons and other outcomes obtained in this study indicated that the developed control model produced reasonably acceptable results and recommendations for future studies.
Sparks in the Dark
Creators: name: Gudnadottir, Olga Sunneborn
name: Gallén, Axel
name: Ripellino, Giulia
name: Heinrich, Jochen Jens
name: Sainudiin, Raazesh
name: Suarez, Rebeca Gonzalez
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: This study presents a novel method for the definition of signal regions in searches for new physics at collider experiments, specifically those conducted at CERNs Large Hadron Collider. By leveraging multi-dimensional histograms with precise arithmetic and utilizing the SparkDensityTree library, it is possible to identify high-density regions within the available phase space, potentially improving sensitivity to very small signals. Inspired by an ongoing search for dark mesons at the ATLAS experiment, CMS open data is used for this proof-of-concept intentionally targeting an already excluded signal. Several signal regions are defined based on density estimates of signal and background. These preliminary regions align well with the physical properties of the signal while effectively rejecting background events. While not explored in this work, this method is also scalable, which makes it ideal for large datasets such as those expected at the high-luminosity upgrade of the LHC. Finally, this method is flexible and can be easily extended, promising a boost to the signal region definition process for new physics searches at colliders.
description: 13 pages, 6 figures
Pial Arteriovenous Fistula
Creators: name: Moussa, Amgad
Publisher: name: EURORAD
Year: 2018
Subjects: subject: Interventional vascular
subject: Neuroradiology brain
subject: CT
subject: Catheter arteriography
subject: Catheters
subject: Computer Applications-3D
subject: Diagnostic procedure
subject: Embolisation
subject: Arteriovenous malformations
subject: Blood
subject: Fistula

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: female, 12 years
description: Clinical History: A 12 year old female presented to the ED with sudden severe headache. The patient was fully conscious and neurological examination revealed righ upper and lower limb paresis, with no other neurological deficits. Final Diagnosis: Pial Arteriovenous Fistula
Neural Correlates of Phonetic and Lexical Processing in Children with and without Speech Sound Disorder
Creators: name: Gerwin, Katelyn L
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Psycholinguistics (incl. speech production and comprehension)
Neurosciences not elsewhere classified
Linguistic structures (incl. phonology, morphology and syntax)

description: Purpose: Children with speech sound disorder (SSD) mispronounce more speech sounds than is typical for their age and a growing body of research suggests that a deficit in speech perception abilities contributes to development of the disorder. However, little work has been done to characterize the neurophysiological processes indexing speech perception deficits in SSD. The primary aim of the current study was to compare the neural activity underlying speech perception in young children with SSD and typical development (TD).Method: Twenty-eight children ages 4;1-6;0 participated in the current study. Event-related potentials (ERPs) were recorded while children completed a speech perception task which included phonetic (speech sound) and lexical (meaning) matches and mismatches. Groups were compared on their judgment accuracy for matches and mismatches as well as the mean amplitude of the Phonological Mapping Negativity (PMN) and N400 ERP components.Results: Children with SSD demonstrated lower judgment accuracy across the phonetic and lexical conditions compared to peers with TD. The ERPs elicited by lexical matches and mismatches did not distinguish the groups. However, in the phonetic condition, the SSD group exhibited a more consistent left lateralized PMN effect and a delayed N400 effect over frontal sites compared to the TD group.Conclusions: These findings provide some of the first evidence of a delay in the neurophysiological processing of phonological information for young children with SSD compared to their peers with TD. This delay was not present for the processing of lexical information, indicating a unique difference between children with SSD and TD related to speech perception of phonetic errors.
Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection
Creators: name: Liu, Ruitong
name: Wang, Yanbin
name: Xu, Haitao
name: Sun, Jianguo
name: Zhang, Fan
name: Li, Peiyue
name: Guo, Zhenhao
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Code Language Models (codeLMs) and Graph Neural Networks (GNNs) are widely used in code vulnerability detection. However, GNNs often rely on aggregating information from adjacent nodes, limiting structural information propagation across layers. While codeLMs can supplement GNNs with semantic information, existing integration methods underexplore their collaborative potential. To address these challenges, we propose Vul-LMGNNs, integrating pre-trained codeLMs with GNNs to enable cross-layer propagation of semantic and structural information. Vul-LMGNNs leverage Code Property Graphs (CPGs) to incorporate syntax, control flow, and data dependencies, using gated GNNs for structural extraction. An online knowledge distillation (KD) mechanism allows a student GNN to capture structural information from a trained counterpart via alternating training. Additionally, an "implicit-explicit" joint training framework leverages codeLMs to initialize embeddings and propagate code semantics. In the explicit phase, it performs late fusion via linear interpolation. Evaluations on real-world vulnerability datasets show Vul-LMGNNs outperform 17 state-of-the-art approaches. Source code is available at: https://github.com/Vul-LMGNN/vul-LMGNN.
description: 16 pages, 7 figures
Endovascular treatment of PICA Aneurysm
Creators: name: Nersesyan, Nerses
Publisher: name: EURORAD
Year: 2018
Subjects: subject: Interventional vascular
subject: Neuroradiology brain
subject: CT
subject: CT-Angiography
subject: Catheter arteriography
subject: Image manipulation / Reconstruction
subject: Computer Applications-3D
subject: Contrast agent-intravenous
subject: Diagnostic procedure
subject: Embolisation
subject: Aneurysms
subject: Haemorrhage

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: female, 24 years
description: Clinical History: A 24-year-old unconscious female patient was admitted to the emergency department after having a severe headache followed by seizures. The patient did not have previously reported neurological conditions. Final Diagnosis: PICA Aneurysm treated with coil embolisation.
sj-pdf-1-cad-10.1177_00111287211039999 – Supplemental material for Maintaining External Connections During Incarceration: Latent Class Analysis of Visitors for Women and Men in Prison
Creators: name: Hickert, Audrey
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160299 Criminology not elsewhere classified
subject: FOS: Law

description: Supplemental material, sj-pdf-1-cad-10.1177_00111287211039999 for Maintaining External Connections During Incarceration: Latent Class Analysis of Visitors for Women and Men in Prison by Audrey Hickert in Crime & Delinquency
Additional file 1 of Empagliflozin is associated with lower cardiovascular risk compared with dipeptidyl peptidase-4 inhibitors in adults with and without cardiovascular disease: EMPagliflozin compaRative effectIveness and SafEty (EMPRISE) study results from Europe and Asia
Creators: name: Vistisen, Dorte
name: Carstensen, Bendix
name: Elisabetta, Patorno
name: Lanzinger, Stefanie
name: Tan, Elise Chia-Hui
name: Yabe, Daisuke
name: Kim, Dae Jung
name: Sheu, Wayne H.-H.
name: Melzer-Cohen, Cheli
name: Holl, Reinhard W.
name: Núñez, Júlio
name: Ha, Kyoung Hwa
name: Halvorsen, Sigrun
name: Langslet, Gisle
name: Karasik, Avraham
name: Nyström, Thomas
name: Niskanen, Leo
name: Guleria, Sonia
name: Klement, Riho
name: Carrasco, Marc
name: Foersch, Johannes
name: Shay, Christina
name: Koeneman, Lisette
name: Hoti, Fabian
name: Farsani, Soulmaz Fazeli
name: Khunti, Kamlesh
name: Zaccardi, Francesco
name: Subramanian, Anuradhaa
name: Nirantharakumar, Krishnarajah
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Mathematical Sciences not elsewhere classified

description: Additional file 1. Additional information; Description of data sources; Diagnosis, procedure, and clinical classification codes used in the study; Study treatment marketing authorization dates; Study definitions; Patient baseline characteristics; Additional Tables 1a-5d; Additional Figures 1-18.
sj-pdf-1-inq-10.1177_00469580211035742 – Supplemental Material for A Pilot Study of Medical Misinformation Perceptions and Training Among Practitioners in North Carolina (USA)
Creators: name: Wood, Jamie L.
name: Lee, Grace Y.
name: Stinnett, Sandra S.
name: Southwell, Brian G.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111099 Nursing not elsewhere classified
subject: FOS: Health sciences

description: Supplemental Material, sj-pdf-1-inq-10.1177_00469580211035742 for A Pilot Study of Medical Misinformation Perceptions and Training Among Practitioners in North Carolina (USA) by Jamie L. Wood, Grace Y. Lee, Sandra S. Stinnett and Brian G. Southwell in INQUIRY: The Journal of Health Care Organization, Provision, and Financing