cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: A Meta-Analysis of Green Supply Chain Management Practices and Firm Performance
Creators: name: Holling, Heinz
name: Backhaus, Leonie
Publisher: name: University of Muenster, Institutional Repository MIAMI
Year: 2023
Subjects: subject: 150 Psychology

description: Integrating green practices into supply chain management is an important issue for companies to combine both environmental responsibility and the goal of increasing profits. In this paper, we present a meta-analysis of the relationship between green supply chain management (GSCM) practices and firm performance. By using robust variance estimation, we can appropriately analyze dependent effect sizes that are common in the studies to be included in this meta-analysis. In this way, more information is extracted from the primary studies and the effects of moderator variables can be examined simultaneously. Based on 408 correlation coefficients (N = 30,568) from 134 studies, we find a significant mean positive relationship between GSCM practices and firm performance in general (r = 0.442), and in particular, for market-based, managerial, and accounting-based performance. However, the correlations vary considerably across studies. To explain this heterogeneity, we analyze the influence of different GSCM practices and organizational characteristics.
description: Finanziert durch den Open-Access-Publikationsfonds der Westfälischen Wilhelms-Universität Münster (WWU Münster).
Additional file 1 of Educational differences in labor market marginalization among mature-aged working men: the contribution of early health behaviors, previous employment histories, and poor mental health
Creators: name: Thern, Emelie
name: Landberg, Jonas
name: Hemmingsson, Tomas
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 1: Supplementary Table 1. Baseline characteristics of the individuals included and excluded in the study population. Supplementary Table 2. Complete case analysis excluding 1908 individuals with missing information on covariates, crude and adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) for the association between educational qualification and health-related labor market marginalization among mature-aged workers. Supplementary Table 3. Complete case analysis excluding 1908 individuals with missing information on covariates, crude and adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) for the association between educational qualification and non-health-related labor market marginalization among mature-aged workers. Supplementary Table 4: Additional analyses excluding 549 individuals that experienced long-term sickness absence prior to long-term unemployment, crude and adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) for the association between educational qualification and non-health-related labor market marginalization among mature aged workers. Supplementary Table 5. Competing risk regression for the association between level of education (years) and health-related labor market marginalization among mature aged workers, with death as competing risk. Supplementary Table 6. Competing risk regression for the association between level of education (years) and non-health-related labor market marginalization among mature aged workers, with death as competing risk.
On infinite staircases in toric symplectic four-manifolds
Creators: name: Cristofaro-Gardiner, Dan
name: Holm, Tara S.
name: Mandini, Alessia
name: Pires, Ana Rita
Publisher: name: arXiv
Year: 2020
Subjects: subject: Symplectic Geometry (math.SG)
subject: FOS: Mathematics
subject: 53D05, 53D20, 52C05, and 57R58

description: An influential result of McDuff and Schlenk asserts that the function that encodes when a four-dimensional symplectic ellipsoid can be embedded into a four-dimensional ball has a remarkable structure: the function has infinitely many corners, determined by the odd-index Fibonacci numbers, that fit together to form an infinite staircase.
 This work has recently led to considerable interest in understanding when the ellipsoid embedding function for other symplectic 4-manifolds is partly described by an infinite staircase. We provide a general framework for analyzing this question for a large family of targets, called finite type convex toric domains, which we prove generalizes the class of closed toric symplectic 4-manifolds. When the target is of finite type, we prove that any infinite staircase must have a unique accumulation point a_0, given as the solution to an explicit quadratic equation. Moreover, we prove that the embedding function at a_0 must be equal to the classical volume lower bound. In particular, our result gives an obstruction to the existence of infinite staircases that we show is powerful.
 In the special case of rational convex toric domains, we can say more. We conjecture a complete answer to the question of existence of infinite staircases, in terms of six families that are distinguished by the fact that their moment polygon is reflexive. We then provide a uniform proof of the existence of infinite staircases for our six families, using two tools. For the first, we use recursive families of almost toric fibrations to find symplectic embeddings. For the second tool, we find recursive families of convex lattice paths that provide obstructions to embeddings. We conclude by reducing our conjecture that these are the only infinite staircases among rational convex toric domains to a question in number theory related to a classic work of Hardy and Littlewood.
description: 69 pages, 25 figures, Mathematica code attached. Version 4 is the accepted version that will appear in the Journal of Differential Geometry
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning
Creators: name: Zhang, Tinghao
name: Li, Zhijun
name: Chen, Yongrui
name: Lam, Kwok-Yan
name: Zhao, Jun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Deep Neural Networks (DNNs) have been widely applied in Internet of Things (IoT) systems for various tasks such as image classification and object detection. However, heavyweight DNN models can hardly be deployed on edge devices due to limited computational resources. In this paper, an edge-cloud cooperation framework is proposed to improve inference accuracy while maintaining low inference latency. To this end, we deploy a lightweight model on the edge and a heavyweight model on the cloud. A reinforcement learning (RL)-based DNN compression approach is used to generate the lightweight model suitable for the edge from the heavyweight model. Moreover, a supervised learning (SL)-based offloading strategy is applied to determine whether the sample should be processed on the edge or on the cloud. Our method is implemented on real hardware and tested on multiple datasets. The experimental results show that (1) The sizes of the lightweight models obtained by RL-based DNN compression are up to 87.6% smaller than those obtained by the baseline method; (2) SL-based offloading strategy makes correct offloading decisions in most cases; (3) Our method reduces up to 78.8% inference latency and achieves higher accuracy compared with the cloud-only strategy.
description: This paper appears in the Proceedings of 2022 IEEE International Conferences on Internet of Things (iThings)
The Normal-Generalised Gamma-Pareto process: A novel pure-jump Lévy process with flexible tail and jump-activity properties
Creators: name: Ayed, Fadhel
name: Lee, Juho
name: Caron, François
Publisher: name: arXiv
Year: 2020
Subjects: subject: Methodology (stat.ME)
subject: Statistics Theory (math.ST)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Pure-jump Lévy processes are popular classes of stochastic processes which have found many applications in finance, statistics or machine learning. In this paper, we propose a novel family of self-decomposable Lévy processes where one can control separately the tail behavior and the jump activity of the process, via two different parameters. Crucially, we show that one can sample exactly increments of this process, at any time scale; this allows the implementation of likelihood-free Markov chain Monte Carlo algorithms for (asymptotically) exact posterior inference. We use this novel process in Lévy-based stochastic volatility models to predict the returns of stock market data, and show that the proposed class of models leads to superior predictive performances compared to classical alternatives.
Dynamic core polarization in strong-field ionization of CO molecules
Creators: name: Zhang, Bin
name: Yuan, Jianmin
name: Zhao, Zengxiu
Publisher: name: arXiv
Year: 2013
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: The orientation-dependent strong-field ionization of CO molecules is investigated using the fully propagated three-dimensional time-dependent Hartree-Fock theory. The full ionization results are in good agreement with recent experiments. The comparisons between the full method and single active orbital (SAO) method show that although the core electrons are generally more tightly bounded and contribute little to the total ionization yields, their dynamics cannot be ignored, which effectively modify the behaviors of electrons in the highest occupied molecular orbital. By incorporating it into the SAO method, we identify that the dynamic core polarization plays an important role in the strong-field tunneling ionization of CO molecules, which is helpful for future development of tunneling ionization theory of molecules beyond single active electron approximation.
description: 5 pages, 3 figures
Almost exact recovery in noisy semi-supervised learning
Creators: name: Avrachenkov, Konstantin
name: Dreveton, Maximilien
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Statistics Theory (math.ST)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: 62F12, 62H30, 68T10

description: Graph-based semi-supervised learning methods combine the graph structure and labeled data to classify unlabeled data. In this work, we study the effect of a noisy oracle on classification. In particular, we derive the Maximum A Posteriori (MAP) estimator for clustering a Degree Corrected Stochastic Block Model (DC-SBM) when a noisy oracle reveals a fraction of the labels. We then propose an algorithm derived from a continuous relaxation of the MAP, and we establish its consistency. Numerical experiments show that our approach achieves promising performance on synthetic and real data sets, even in the case of very noisy labeled data.
Free Energy Evaluation in Polymer Translocation via Jarzynski Equality
Creators: name: Mondaini, Felipe
name: Moriconi, Luca
Publisher: name: arXiv
Year: 2014
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We perform, with the help of cloud computing resources, extensive Langevin simulations which provide free energy estimates for unbiased three dimensional polymer translocation. We employ the Jarzynski equality in its rigorous setting, to compute the variation of the free energy in single monomer translocation events. In our three-dimensional Langevin simulations, the excluded-volume and van der Waals interactions between beads (monomers and membrane atoms) are modeled through a repulsive Lennard-Jones (LJ) potential and consecutive monomers are subject to the Finite-Extension Nonlinear Elastic (FENE) potential. Analysing data for polymers with different lengths, the free energy profile is noted to have interesting finite size scaling properties.
description: 14 pages, 5 figures, Accepted for publication in Physics Letters A
The magnetospheric accretion/ejection process in young stellar objects: open issues and perspectives
Creators: name: Bouvier, J.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: This summary talk aims at highlighting some of the remaining open issues regarding the physics of the magnetospheric accretion/ejection process in young stellar objects (YSOs). It lists a number of questions related to YSOs magnetic fields and accretion regimes, the structure and properties of accretion shocks, the origin of multiple outflow components, and the impact of the star-disk magnetic interaction onto early angular momentum evolution.
description: Summary talk, 4 pages, to appear in the Proceedings of "Physics at the Magnetospheric Boundary", Geneva, 25-28 June 2013
A representation formula for the distributional normal derivative
Creators: name: Ponce, Augusto C.
name: Wilmet, Nicolas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 35J10, 31B10, 35B50

description: We prove an integral representation formula for the distributional normal derivative of solutions of $$ \left\{ \begin{aligned} - Δu + V u &= μ&& \text{in $Ω$,}\\ u &= 0 && \text{on $\partialΩ$,} \end{aligned} \right. $$ where $V \in L_{\mathrm{loc}}^1(Ω)$ is a nonnegative function and $μ$ is a finite Borel measure on $Ω$. As an application, we show that the Hopf lemma holds almost everywhere on $\partialΩ$ when $V$ is a nonnegative Hopf potential.
description: Fixed a display problem in arxiv's abstract. Original tex file unchanged
A Higher-Spin Chern-Simons Theory of Anyons
Creators: name: Boulanger, Nicolas
name: Sundell, Per
name: Valenzuela, Mauricio
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We propose Chern-Simons models of fractional-spin fields interacting with ordinary tensorial higher-spin fields and internal color gauge fields. For integer and half-integer values of the fractional spins, the model reduces to finite sets of fields modulo infinite-dimensional ideals. We present the model on-shell using Fock-space representations of the underlying deformed-oscillator algebra.
description: 6 pages, based on talk given by M. V. at "Supersymmetries and Quantum Symmetries", Dubna, July 29 - August 3, 2013 with proceedings to appear in Physics of Particles and Nuclei
Legal Element-oriented Modeling with Multi-view Contrastive Learning for Legal Case Retrieval
Creators: name: Wang, Zhaowei
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Legal case retrieval, which aims to retrieve relevant cases given a query case, plays an essential role in the legal system. While recent research efforts improve the performance of traditional ad-hoc retrieval models, legal case retrieval is still challenging since queries are legal cases, which contain hundreds of tokens. Legal cases are much longer and more complicated than keywords queries. Apart from that, the definition of legal relevance is beyond the general definition. In addition to general topical relevance, the relevant cases also involve similar situations and legal elements, which can support the judgment of the current case. In this paper, we propose an interaction-focused network for legal case retrieval with a multi-view contrastive learning objective. The contrastive learning views, including case-view and element-view, aim to overcome the above challenges. The case-view contrastive learning minimizes the hidden space distance between relevant legal case representations produced by a pre-trained language model (PLM) encoder. The element-view builds positive and negative instances by changing legal elements of cases to help the network better compute legal relevance. To achieve this, we employ a legal element knowledge-aware indicator to detect legal elements of cases. We conduct extensive experiments on the benchmark of relevant case retrieval. Evaluation results indicate our proposed method obtains significant improvement over the existing methods.
description: accepted by the 2022 IEEE International Joint Conference on Neural Networks (IJCNN 2022)
Scale-free primordial cosmology
Creators: name: Ijjas, Anna
name: Steinhardt, Paul J.
name: Loeb, Abraham
Publisher: name: arXiv
Year: 2013
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The large-scale structure of the universe suggests that the physics underlying its early evolution is scale-free. This was the historic motivation for the Harrison-Zel'dovich-Peebles spectrum and for inflation. Based on a hydrodynamical approach, we identify scale-free forms for the background equation-of-state for both inflationary and cyclic scenarios and use these forms to derive predictions for the spectral tilt and tensor-to-scalar ratio of primordial density perturbations. For the case of inflation, we find three classes of scale-free models with distinct predictions. Including all classes, we show that scale-free inflation predicts tensor-to-scalar ratio $r > 10^{-4}$. We show that the observationally favored class is theoretically disfavored because it suffers from an initial conditions problem and the hydrodynamical form of an unlikeliness problem similar to that identified recently for certain inflaton potentials. We contrast these results with those for scale-free cyclic models.
description: 32 pages, 4 figures
On p,q-binomial Coefficients
Creators: name: Corcino, Roberto
Publisher: name: Zenodo
Year: 2007

description: In this paper, we develop the theory of a p, q-analogue of the binomial coefficients. Some properties and identities parallel to those of the usual and q-binomial coefficients will be established including the triangular, vertical, and the horizontal recurrence relations, horizontal generating function, and the orthogonality and inverse relations. The construction and derivation of these results give us an idea of how to handle complex computations involving the parameters p and q. This may be a good start in developing the theory of p, q-analogues of some special numbers in combinatorics. Furthermore, several interesting special cases will be disclosed which are analogous to some established identities of the usual binomial coefficients.
Context matters… does it? Insights into the scope of the journal 'die hochschullehre'
Creators: name: Bedenlier, Svenja
name: Berndt, Sarah
name: Leschke, Jonas
name: Kenneweg, Cornelia
name: Scholkmann, Antonia
name: Thielsch, Angelika
name: van den Berk, Ivo
Publisher: name: Zenodo
Year: 2023

description: Over the last years, the number of scientific papers on teaching and learning in higher education has increased. Reasons for this development are changes in the educational settings and the teaching and learning approaches. Furthermore, they connect to the surge of scholarship of teaching and learning as well as scholarship of academic development projects. Nowadays, academic teachers and third space professionals can rely on different journals to publish their educational insights. But who are the authors of these papers? From which disciplinary contexts and theoretical perspectives do they approach their scholarly work? And what do they write about? Based on the scope of the journal 'die hochschullehre', a German outlet in the field of higher education teaching and learning, we analysed the contexts of papers, their authors, and respective thematic scope, focusing on the years 2015 to 2022. During this time, the German higher education system received extensive funding, which the scope of this journal's papers reflects. We found that, even though these papers originated from different types of higher education institutions and from various disciplinary backgrounds, there seems to be a tendency to address topics on the level of individual courses. Aspects related to the meso- or macro-level of higher education teaching and learning are less frequently considered. In our contribution, we discuss initial findings and share the analytic approach of our research. Beyond the institutional backgrounds of the authors, we analysed content-related parameters, e.g. keywords and abstracts, to grasp the addressed thematic fields. As a next step, we will explore the epistemological connotations of these thematic fields and question whether these publications indicate the emerging of higher education research as a new discipline. 
The posters was presented at the ISSOTL 2023 conference in Utrecht (8-11 of November 2023).
Kernelized multi-graph matching
Creators: name: Dupé, François-Xavier
name: Yadav, Rohit
name: Auzias, Guillaume
name: Takerkart, S.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Mathematics

description: Multigraph matching is a recent variant of the graph matching problem. In this framework, the optimization procedure considers several graphs and enforces the consistency of the matches along the graphs. This constraint can be formalized as a cycle consistency across the pairwise permutation matrices, which implies the definition of a universe of vertex~\citep{pachauri2013solving}. The label of each vertex is encoded by a sparse vector and the dimension of this space corresponds to the rank of the bulk permutation matrix, the matrix built from the aggregation of all the pairwise permutation matrices. The matching problem can then be formulated as a non-convex quadratic optimization problem (QAP) under constraints imposed on the rank and the permutations. In this paper, we introduce a novel kernelized multigraph matching technique that handles vectors of attributes on both the vertices and edges of the graphs, while maintaining a low memory usage. We solve the QAP problem using a projected power optimization approach and propose several projectors leading to improved stability of the results. We provide several experiments showing that our method is competitive against other unsupervised methods.
Quantifying the performance of bidirectional quantum teleportation
Creators: name: Siddiqui, Aliza U.
name: Wilde, Mark M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Bidirectional teleportation is a fundamental protocol for exchanging quantum information between two parties by means of a shared resource state and local operations and classical communication (LOCC). Here we develop two seemingly different ways of quantifying the simulation error of unideal bidirectional teleportation by means of the normalized diamond distance and the channel infidelity, and we prove that they are equivalent. By relaxing the set of operations allowed from LOCC to those that completely preserve the positivity of the partial transpose, we obtain semi-definite programming lower bounds on the simulation error of unideal bidirectional teleportation. We evaluate these bounds for several key examples: when there is no resource state at all and for isotropic and Werner states, in each case finding an analytical solution. The first aforementioned example establishes a benchmark for classical versus quantum bidirectional teleportation. Another example consists of a resource state resulting from the action of a generalized amplitude damping channel on two Bell states, for which we find an analytical expression for the simulation error. We then evaluate the performance of some schemes for bidirectional teleportation due to Kiktenko et al. and find that they are suboptimal and do not go beyond the aforementioned classical limit. We offer a scheme alternative to theirs that is provably optimal. Finally, we generalize the whole development to the setting of bidirectional controlled teleportation, in which there is an additional assisting party who helps with the exchange of quantum information, and we establish semi-definite programming lower bounds on the simulation error for this task. More generally, we provide semi-definite programming lower bounds on the performance of bipartite and multipartite channel simulation using a shared resource state and LOCC.
description: v3: 53 pages, 23 figures, employed another symmetry of the swap channel to simplify main SDP
Probing Quintessence Potential with Future Cosmological Surveys
Creators: name: Takeuchi, Yoshitaka
name: Ichiki, Kiyotomo
name: Takahashi, Tomo
name: Yamaguchi, Masahide
Publisher: name: arXiv
Year: 2014
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Quintessence, a scalar field model, has been proposed to account for the acceleration of the Universe at present. We discuss how accurately quintessence models are discriminated by future cosmological surveys, which include experiments of CMB, galaxy clustering, weak lensing, and the type Ia SNe surveys, by making use of the conventional parameterized dark energy models. We can see clear differences between the thawing and the freezing quintessence models at more than $1σ$ ($2σ$) confidence level as long as the present equation of state for quintessence is away from $-1$ as $w_X \gtrsim -0.95 (-0.90)$. However, it is found to be difficult to probe the effective mass squared for the potential in thawing models, whose signs are different between the quadratic and the cosine-type potentials. This fact may require us to invent a new estimator to distinguish quintessence models beyond the thawing and the freezing ones.
description: 36 pages, 10 figures, 6 tables, minor changes to the footnote and figures; published in JCAP
Additional file 1 of Fall inducing movable platform (FIMP) for overground trips and slips
Creators: name: Er, Jie Kai
name: Donnelly, Cyril John William
name: Wee, Seng Kwee
name: Ang, Wei Tech
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Science Policy

description: Additional file 1. FIMP transparency analyses. Analysis of FIMP transparency which concludes that the ankle strap has minimal impact on the individual's normal walking gait.
Radio Variability and Broad-Band Spectra of Infrared Galaxies with and without OH Megamaser Emission
Creators: name: Sotnikova, Yu. V.
name: Mufakharov, T. V.
name: Mikhailov, A. G.
name: Stolyarov, V. A.
name: Wu, Z. Z.
name: Mingaliev, M. G.
name: Semenova, T. A.
name: Erkenov, A. K.
name: Bursov, N. N.
name: Udovitskiy, R. Y.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We study the radio variability of galaxies with and without sources of hydroxyl (OH) megamaser radiation based on the continuum radio measurements conducted in 2019-2022 with the radio telescope RATAN-600 at frequencies of 2.3, 4.7, 8.2, and 11.2 GHz. Presumably, radio continuum emission significantly affects the megamaser radiation brightness, therefore, such a characteristic as the variability of radio emission is important for determining the OHM galaxies parameters. With additional data from the literature, the parameters of radio variability on a time scale up to 30 years were estimated. The median values of the variability index for 48 OHM galaxies are in the range $V_{S}=0.08$-$0.17$, and for 30 galaxies without OH emission they are $V_{S}=0.08$-$0.28$. For some individual galaxies in both samples, flux density variations reach 30-50%. These sources either are commonly associated with AGNs or reveal active star formation. Generally, the variability of luminous infrared galaxies with and without OH megamaser emission is moderate and of the same order of magnitude on long time scales. From estimating the spectral energy distribution parameters in a broad frequency range (from MHz to THz), we determined the spectral index below 50 GHz and the color temperatures of dust components for megamaser and control sample galaxies. At a level of $ρ<0.05$, there are no statistically significant differences in the distribution of these parameters for the two samples, as well there are no statistically significant correlations between the dust color temperatures and the variability index or luminosity in the OH line.
description: 15 pages, 10 Figures, and 6 Tables
Investigating methods for incorporating real world data in health technology assessment decision-making: application in rheumatoid arthritis
Creators: name: Singh, Janharpreet
Publisher: name: University of Leicester
Year: 2023
Subjects: Uncategorized

description: This thesis addresses the issue of incorporating real world data (RWD) on treatment effectiveness into the health technology assessment (HTA) process. Evidence synthesis methods are evaluated, developed, and illustrated using a case-study assessing the effectiveness of biologic drugs as treatments for rheumatoid arthritis (RA). An extensive simulation study is undertaken comparing existing methods, under a Bayesian framework, for performing a pairwise meta-analysis combining randomised controlled trials (RCTs) and single-arm trials (SATs) using aggregate triallevel data (AD). The simulation study results suggest that prior-based methods provide a exible and robust approach to incorporate SAT data into a meta-analysis, by de?ning an informative prior distribution for the pooled treatment effect which can be down-weighted according to pre-speci?cation or commensurability with the RCT data. Novel methods are developed for performing a network meta-analysis combining RCTs and SATs using a mixture of individual participant data and AD, with covariate adjustment on the baseline response. The application of the developed methods to data from a network of RCTs, assessing a number of biologic drugs versus placebo as treatments for RA, suggests that the predicted baseline response for SATs can signi?cantly in uence the pooled treatment effect estimates. The impact of methods for incorporating RWD (including disease-registry data) is demonstrated by repeating the cost-effectiveness analysis from a previous HTA report, using the updated clinical effectiveness estimates. The incremental cost-effectiveness ratio estimates, comparing biologic versus non-biologic treatment strategies for RA, were higher when RWD were included and treatment effect estimates based on registry data were lower compared to those based on RCTs alone. RWD can provide information regarding the potential variability in cost-effectiveness results, and should be incorporated into the evidence synthesis to improve HTA decision-making.
Transmon-based simulator of nonlocal electron-phonon coupling: A platform for observing sharp small-polaron transitions
Creators: name: Stojanovic, Vladimir M.
name: Vanevic, Mihajlo
name: Demler, Eugene
name: Tian, Lin
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose an analog superconducting quantum simulator for a one-dimensional model featuring momentum-dependent (nonlocal) electron-phonon couplings of Su-Schrieffer-Heeger and "breathing-mode" types. Because its corresponding vertex function depends on both the electron- and phonon quasimomenta, this model does not belong to the realm of validity of the Gerlach-Löwen theorem that rules out any nonanalyticities in single-particle properties. The superconducting circuit behind the proposed simulator entails an array of transmon qubits and microwave resonators. By applying microwave driving fields to the qubits, a small-polaron Bloch state with an arbitrary quasimomentum can be prepared in this system within times several orders of magnitude shorter than the typical qubit decoherence times. We demonstrate that in this system -- by varying the circuit parameters -- one can readily reach the critical coupling strength required for observing the sharp transition from a nondegenerate (single-particle) ground state corresponding to zero quasimomentum ($K_{\textrm{gs}}=0$) to a twofold-degenerate small-polaron ground state at nonzero quasimomenta $K_{\textrm{gs}}$ and $-K_{\textrm{gs}}$. Through exact numerical diagonalization of our effective Hamiltonian, we show how this nonanalyticity is reflected in the relevant single-particle properties (ground-state energy, quasiparticle residue, average number of phonons). The proposed setup provides an ideal testbed for studying quantum dynamics of polaron formation in systems with strongly momentum-dependent electron-phonon interactions.
description: final, published version
Unified Robust Boosting
Creators: name: Wang, Zhu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation (stat.CO)
subject: FOS: Computer and information sciences
subject: 62H30, 62G35, 68Q32

description: Boosting is a popular algorithm in supervised machine learning with wide applications in regression and classification problems. It combines weak learners, such as regression trees, to obtain accurate predictions. However, in the presence of outliers, traditional boosting may yield inferior results since the algorithm optimizes a convex loss function. Recent literature has proposed boosting algorithms that optimize robust nonconvex loss functions. Nevertheless, there is a lack of weighted estimation to indicate the outlier status of observations. This article introduces the iteratively reweighted boosting (IRBoost) algorithm, which combines robust loss optimization and weighted estimation. It can be conveniently constructed with existing software. The output includes weights as valuable diagnostics for the outlier status of observations. For practitioners interested in the boosting algorithm, the new method can be interpreted as a way to tune robust observation weights. IRBoost is implemented in the R package irboost and is demonstrated using publicly available data in generalized linear models, classification, and survival data analysis.
Der weis Ritter wie er so getruwlich bei stund ritter Leuwen des, Herzogens sun von Burges, das er zu letst ein künnigreich besaß; 1514
Creators: name: Elisabeth Nassau-Saarbrücken, Gräfin
Publisher: name: Universitätsbibliothek der Ludwig-Maximilians-Universität München
Year: 2011

description: Verf. ermittelt
Arbitrage commercial international en Ukraine : aspects de la reconnaissance internationale de compétence
Creators: name: Kostruba, Anatoliy
Publisher: name: figshare
Year: 2023
Subjects: Conflict of laws (incl. private international law)
Legal practice, lawyering and the legal profession
Law, science and technology
Human rights and justice issues (excl. law)
International trade and investment law
Law in context not elsewhere classified
Comparative law
Commercial law
Commercial law not elsewhere classified

description: La nature juridique de l'arbitrage commercial international en Ukraine est analysée dans l'article. La recherche est consacrée à la divulgation de l'essence et du fonctionnement de l'arbitrage. La question de l'arbitrage commercial international est extrêmement pertinente aujourd'hui et est que l'arbitrage commercial international est un moyen efficace, pratique et acceptable pour les parties comme moyen alternatif de résoudre les différends. L'augmentation rapide du nombre de différends économiques étrangers nécessite leur règlement efficace et impartial. Chaque année, l'arbitrage commercial international en Ukraine devient de plus en plus populaire en tant qu'organisme qui examine les litiges impliquant un élément étranger. L'auteur analyse les travaux scientifiques des scientifiques nationaux et les réglementations sur le fonctionnement de l'arbitrage commercial international. Les questions de conclusion d'une convention d'arbitrage, le principe de l'autonomie de la volonté, la procédure de formation des arbitres, les particularités de l'arbitrage, l'arbitrage, la reconnaissance et l'exécution des décisions des États étrangers sont examinés. Les questions d'arbitrage commercial international en Ukraine sont principalement liées à des tâches pratiques telles que la mise en œuvre du litige par l'autorité compétente avec un maximum d'efficacité et de commodité pour les parties, la réduction des coûts, l'élimination des phénomènes négatifs qui compliquent l'exécution de la décision de justice.
Gravitational Lensing by a structure in a cosmological background
Creators: name: Mood, M. Parsi
name: Firouzjaee, Javad T.
name: Mansouri, Reza
Publisher: name: arXiv
Year: 2013
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We use an exact general relativistic model structure within an FRW cosmological background based on a LTB metric to study the gravitational lensing by a cosmological and dynamical structure. Using different density profiles for the model structure, the deviation angle and the time delay through the gravitational lensing has been studied by solving the geodesic equations. The results of these exact calculations have been compared to the thin lens approximation. We have shown that the result for the thin lens approximation based on a modified NFW density profile with a void before going over to the FRW background matches very well with the exact general relativistic calculations. However, the thin lens approximation based on a normal NFW profile does differ from the exact relativistic calculation. The difference is more the less compact the structure is. We have also looked at the impact of our calculation on the observational interpretation of arcs in the case of strong lensing and also the reduced shear in the case of weak lensing. No significant difference has been seen in the data available.
description: 13 pages, 16 figures
Counting in Uncountably Categorical Pseudofinite Structures
Creators: name: Van Abel, Alexander
Publisher: name: arXiv
Year: 2021
Subjects: subject: Logic (math.LO)
subject: FOS: Mathematics

description: We show that every definable subset of an uncountably categorical pseudofinite structure has pseudofinite cardinality which is polynomial (over the rationals) in the size of any strongly minimal subset, with the degree of the polynomial equal to the Morley rank of the subset. From this fact, we show that classes of finite structures whose ultraproducts all satisfy the same uncountably categorical theory are polynomial $R$-mecs as well as $N$-dimensional asymptotic classes, where $N$ is the Morley rank of the theory.
Additional file 1 of Accounting and the US cannabis industry: federal financial regulations and the perspectives of Certified Public Accountants and cannabis businesses owners
Creators: name: Owens-Ott, G. Suzanne
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1. Appendix A.
Weyl type bound on positive Interior Transmission Eigenvalues
Creators: name: Lakshtanov, Evgeny
name: Vainberg, Boris
Publisher: name: arXiv
Year: 2013
Subjects: subject: Spectral Theory (math.SP)
subject: Mathematical Physics (math-ph)
subject: Analysis of PDEs (math.AP)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: This paper contains a lower bound of the Weyl type on the counting function of the positive eigenvalues of the interior transmission eigenvalue problem which justifies the existence of an infinite set of positive interior transmission eigenvalues. We consider the classical transmission problem as well as the case where the inhomogeneous medium contains an obstacle. One of the essential components of the proof is an estimate for the D-t-N operator for the Helmholtz equation for positive $λ$ that replaces the standard parameter-elliptic estimate valid outside of the positive semi-axis.
Domain wall motion in magnetic nanowires: An asymptotic approach
Creators: name: Goussev, Arseni
name: Lund, Ross G.
name: Robbins, JM
name: Slastikov, Valeriy
name: Sonnenberg, Charles
Publisher: name: arXiv
Year: 2013
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mathematical Physics (math-ph)
subject: Analysis of PDEs (math.AP)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We develop a systematic asymptotic description for domain wall motion in one-dimensional magnetic nanowires under the influence of small applied magnetic fields and currents and small material anisotropy. The magnetization dynamics, as governed by the Landau--Lifshitz--Gilbert equation, is investigated via a perturbation expansion. We compute leading-order behaviour, propagation velocities, and first-order corrections of both travelling waves and oscillatory solutions, and find bifurcations between these two types of solutions. This treatment provides a sound mathematical foundation for numerous results in the literature obtained through more ad hoc arguments.
description: 20 pages, 10 figures
Continuous non-equilibrium transition driven by the heat flow
Creators: name: Zhang, Yirui
name: Litniewski, Marek
name: Makuch, Karol
name: Zuk, Pawel J.
name: Maciolek, Anna
name: Holyst, Robert
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We discovered an out-of-equilibrium transition in the ideal gas between two walls, divided by an inner, adiabatic, movable wall. The system is driven out-of-equilibrium by supplying energy directly into the volume of the gas. At critical heat flux, we have found a continuous transition to the state with a low-density, hot gas on one side of the movable wall and a dense, cold gas on the other side. Molecular dynamic simulations of the soft-sphere fluid confirm the existence of the transition in the interacting system. We introduce a stationary state Helmholtz-like function whose minimum determines the stable positions of the internal wall. This transition can be used as a paradigm of transitions in stationary states and the Helmholtz-like function as a paradigm of the thermodynamic description of these states.
description: 8 pages, 6 figures; paragraph one rewritten; comments added regarding maxEP, and figures 4, 5 and 6 are added; references added and typos corrected
Additional file 2 of Accounting and the US cannabis industry: federal financial regulations and the perspectives of Certified Public Accountants and cannabis businesses owners
Creators: name: Owens-Ott, G. Suzanne
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 2. Appendix B.
Provenance of Lyfe: Chemical Autonomous Agents Surviving through Associative Learning
Creators: name: Bartlett, Stuart
name: Louapre, David
Publisher: name: arXiv
Year: 2022
Subjects: subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Physical sciences

description: We present a benchmark study of autonomous, chemical agents exhibiting associative learning of an environmental feature. Associative learning has been widely studied in cognitive science and artificial intelligence, but are most commonly implemented in highly complex or carefully engineered systems such as animal brains, artificial neural networks, DNA computing systems and gene regulatory networks. The ability to encode environmental correlations and use them to make predictions is a benchmark of biological resilience, and underpins a plethora of adaptive responses in the living hierarchy, spanning prey animal species anticipating the arrival of predators, to epigenetic systems in microorganisms learning environmental correlations. Given the ubiquitous and essential presence of learning behaviours in the biosphere, we aimed to explore whether simple, non-living dissipative structures could also exhibit associative learning. Inspired by previous modeling of associative learning in chemical networks, we simulated simple systems composed of long and short term memory chemical species that could encode the presence or absence of temporal correlations between two external species. The ability to learn this association was implemented in Gray-Scott reaction-diffusion spots, emergent chemical patterns that exhibit self-replication and homeostasis. With the novel ability of associative learning, we demonstrate that simple chemical patterns can exhibit a broad repertoire of life-like behaviour, paving the way for in vitro studies of autonomous chemical learning systems, with potential relevance to artificial life, origins of life, and systems chemistry. The experimental realisation of these learning behaviours in protocell systems could advance a novel research direction in astrobiology, since our system significantly reduces the lower bound on the required complexity for emergent learning.
Additional file 3 of Fall inducing movable platform (FIMP) for overground trips and slips
Creators: name: Er, Jie Kai
name: Donnelly, Cyril John William
name: Wee, Seng Kwee
name: Ang, Wei Tech
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Science Policy

description: Additional file 3. Post Hoc analysis. Post hoc analysis of terminal swing (TS), mid swing (MS) and slip (SL) versus normal walking (NW) and strap walking (SW). These post hoc analyses were conducted after performing the ANOVA as shown in Figs. 10, 11, 13, 14, 16, 17. Bonferroni correction was used to adjust the alpha value for the multiple comparisons.