Miracle-dz/UniFAR-FTUs huggingface dataset:
A Cost-Effectiveness and Budget Impact Analysis of AbobotulinumtoxinA in Greece

This study aimed to assess the cost-effectiveness of abobotulinumtoxinA (aboBoNT-A) plus Best Supportive Care (BSC) compared with BSC alone for managing limb spasticity in adult patients in Greece, as well as to conduct a budget impact analysis of the introduction of aboBoNT-A in the Greek healthcare system compared to onabotulinumtoxinA (onaBoNT-A). Clinical studies were utilized to extract data on drug efficacy and patients’ utility, while cost data were collected from Greek sources. The results of the study showed that aboBoNT-A plus BSC was a cost-effective treatment option for both upper and lower limb spasticity in adult patients compared to BSC. Additionally, introducing aboBoNT-A into the Greek healthcare system resulted in cost savings in pharmaceutical spending over a 5-year period. The findings suggest that incorporating aboBoNT-A into the Greek healthcare system could improve patient access to treatment and healthcare resource efficiency, as it is a more economical option compared to onaBoNT-A.
Depth of Vocabulary, Morphology, and Inference Making as Predictors of EFLs Pragmatic Knowledge

Pragmatics is described as the use of language appropriately in diverse and real circumstances to achieve various communicational goals. Despite the significant importance of pragmatic knowledge, second/foreign language learners have been reported to lack acceptable levels of pragmatic competence. To optimize pedagogical techniques implemented in second/foreign language classrooms and increase levels of pragmatic knowledge among second/foreign language learners, component skills that explain variations of pragmatic knowledge need to be delineated. To address the area, 33 Iranian upper-intermediate foreign language learners, having been screened through Venture placement test, were tested in terms of size and depth of vocabulary knowledge, morpho-syntax knowledge, inference making as independent variables, and pragmatic knowledge as dependent variable. Results from linear regression analysis indicated that depth of vocabulary, morphological knowledge, and inference making ability contribute to pragmatic knowledge, with the depth of vocabulary knowledge being the most powerful predictor. However, the model explained less than 40 percent of pragmatic knowledge. It indicated that pragmatic knowledge is
Department of Agricultural and Resource Economics , UCB UC Berkeley Title : Incentives and nutrition for rotten kids : intrahousehold food allocation in the Philippines

Using data on individual consumption expenditures from a sample of farm households in the Philippines, we construct a direct test of the risk-sharing implications of the collective household model. We are able to contrast the efficient outcomes predicted by the collective household model with the outcomes we might expect in environments in which food consumption delivers not only utils, but also nutrients which affect future productivity. Finally, we are able to contrast each of these two models with a third, involving a hidden action problem within the household; in this case, the efficient provision of incentives implies that the consumption of each household member depends on their (stochastic) productivity. The efficiency conditions which characterize the within-household allocation of food under the collective household model are violated, as consumption shares respond to earnings shocks. If future productivity depends on current nutrition, then this can explain some but not all of the response, as it appears that the quality of current consumption depends on past earnings. This suggests that some actions taken by household members are private, giving rise to a moral hazard problem within the household.
International Ocean Discovery Program Expedition 357 Scientific Prospectus Atlantis

International Ocean Discovery Program (IODP) Expedition 357 will be implemented as a Mission Specific Platform (MSP) expedition that will address two exciting discoveries in mid-ocean-ridge research: off-axis, serpentinite-hosted hydrothermal activity exemplified by the Lost City hydrothermal field (LCHF) and the significance of tectono-magmatic processes in forming and exposing heterogeneous mafic and variably serpentinized ultramafic litho-sphere that are key components of slow-and ultraslow-spreading ridges. Serpentinization is a fundamental process that controls rheology and geophysical properties of the oceanic lithosphere and has major consequences for heat flux, geochemical cycles, and microbial activity in a wide variety of environments. However, we currently have no constraints on the nature and distribution of microbial communities in ultramafic subsurface environments. Our planned drilling focuses on (1) exploring the extent and activity of the subsurface biosphere in young ultramafic and mafic seafloor; (2) quantifying the role of serpentinization in driving hydrothermal systems, in sustaining microbiological communities, and in the sequestration of carbon in ultramafic rocks; (3) assessing how abiotic and biotic processes change with aging of the lithosphere and with variations in rock type; and (4) characterizing tectono-magmatic processes that lead to lithospheric heterogeneities and the evolution of hydrothermal activity associated with detachment faulting. This expedition will be the first IODP expedition to utilize seafloor drill technology (MeBo and BGS Seafloor Rockdrill 2) to core a series of shallow (50–80 m) holes across Atlantis Massif—an oceanic core complex (30°N, Mid-Atlantic Ridge), where detachment faulting exposes mafic and ultramafic lithologies on the seafloor. We aim to recover in situ sequences of sediments, hydrothermal deposits/veins, and basement rocks that
An Exploratory Study of the Experiences of Adult Multiracial Community Mental Health Clients in a Metro Vancouver City

In the 2006 census, 458, 240 Canadians reported belonging to more than one population group, a 25% increase from 2001. Although little Canadian research has explored multiraciality, American and British research demonstrates there are differences in the mental health and substance use rates of multiracial individuals when compared to monoracial groups.Ten multiracial community mental health clients were interviewed to explore how multiraciality affected their wellbeing. Participants discussed racism, belonging, spirituality, identity, strengths and good care. Suggestions for improving mental health services to multiracial individuals are discussed. Au recensement de 2006, 458, 240 Canadiens ont declare appartenir a plus d’un groupe de population soit une augmentation de 25% par rapport a 2001. Bien que peu de recherche a explore la multiracialite, les recherche Americains et Britanniques demontrent qu’il y a une difference dans la sante mentale et le taux d’utilisation de la substance des personnes multiracials par rapport aux groupes monoracial. Dix clients communautaire sante mentale ont ete interviewes pour explorer comment la multiracialite a affecte leur bienetre. Les participants ont discute le racisme, l’appartenance, la spiritualite, l’identite, les forces et les bons soins. Il conclut avec suggestions pour ameliorer les services de sante mentale chez les personnes multiracials.
Change in body weight of older adults before and during the COVID-19 pandemic: Longitudinal results from the Berlin Aging Study II

Background: Change in body weight during the COVID-19 pandemic as an unintended side effect of lockdown measures has been predominantly reported for younger and middle-aged adults. However, information on older adults for which weight loss is known to result in adverse outcomes, is scarce. Aims: Describe body weight change in older adults before, during, and after the COVID-19 lockdown measures and explore putative associated factors with a focus on the period that includes the first six months of the COVID-19 containment measures. Methods: In this study, we analyzed the longitudinal weight change of 472 participants of the Berlin Aging Study II (mean age of 67.5 years at baseline, average follow-up time 10 years). Additionally, differences between subgroups characterized by socio-economic, cognitive, and psychosocial variables as well as morbidity burden, biological age markers (epigenetic clocks, telomere length), and frailty were compared. Results: On average, women and men lost 0.87% (n=227) and 0.5% (n=245) of their body weight per year in the study period covering the first six months of the COVID-19 pandemic. Weight loss among men was particularly pronounced among groups characterized by change in physical activity due to COVID-19 lockdown, low positive affect, premature epigenetic age (7-CpG clock), diagnosed metabolic syndrome, and a more masculine gender score (all variables: p<0.05, n=245). Conclusions: Older participants lost weight with a 2.5-times (women) and 2-times (men) higher rate than what is expected in this age.
Descente Infinie + Deduction

Inductive theorem proving in the form of descente infinie was known to the ancient Greeks and is the standard induction method of a working mathematician since it was reinvented in the middle of the 17th century. We present an integration of descente infinie into state-of-the-art free-variable sequent and tableau calculi. It is well-suited for an efficient interplay of human interaction and automation and combines raising, explicit representation of dependence between variables, the liberalized δ-rule, preservation of solutions, and unrestricted applicability of lemmas and induction hypotheses. The semantical requirements are satisfied for a variety of two-valued logics, such as clausal logic, classical first-order logic, and higher-order modal logic.
Wiener--Ito integral representation in vector valued Gaussian stationary random fields

The subject of this work is the multivariate generalization of the theory of multiple Wiener--It\^o integrals. In the scalar valued case this theory was described in paper\cite{11}. Our proofs apply the technique of this work, but in the proof of some results new ideas were needed. The motivation for this study was a result in paper\cite{1} of Arcones where he formulated the multivariate version of a non-central limit theorem for non-linear functionals of Gaussian stationary random fields presented in paper\cite{6}. We found the proof in paper\cite{1} incomplete and wanted to give a full proof. We did it in paper\cite{13}, but in that proof we needed a detailed description of the properties of non-linear functionals of vector valued stationary Gaussian fields. Here we provide the foundation needed to carry out that proof. --More--(0%)
Optimal Rate of Kernel Regression in Large Dimensions

We perform a study on kernel regression for large-dimensional data (where the sample size $n$ is polynomially depending on the dimension $d$ of the samples, i.e., $n\asymp d^{\gamma}$ for some $\gamma>0$ ). We first build a general tool to characterize the upper bound and the minimax lower bound of kernel regression for large dimensional data through the Mendelson complexity $\varepsilon_{n}^{2}$ and the metric entropy $\bar{\varepsilon}_{n}^{2}$ respectively. When the target function falls into the RKHS associated with a (general) inner product model defined on $\mathbb{S}^{d}$, we utilize the new tool to show that the minimax rate of the excess risk of kernel regression is $n^{-1/2}$ when $n\asymp d^{\gamma}$ for $\gamma =2, 4, 6, 8, \cdots$. We then further determine the optimal rate of the excess risk of kernel regression for all the $\gamma>0$ and find that the curve of optimal rate varying along $\gamma$ exhibits several new phenomena including the {\it multiple descent behavior} and the {\it periodic plateau behavior}. As an application, For the neural tangent kernel (NTK), we also provide a similar explicit description of the curve of optimal rate. As a direct corollary, we know these claims hold for wide neural networks as well.
MMSFormer: Multimodal Transformer for Material and Semantic Segmentation

Leveraging information across diverse modalities is known to enhance performance on multimodal segmentation tasks. However, effectively fusing information from different modalities remains challenging due to the unique characteristics of each modality. In this paper, we propose a novel fusion strategy that can effectively fuse information from different modality combinations. We also propose a new model named Multi-Modal Segmentation TransFormer (MMSFormer) that incorporates the proposed fusion strategy to perform multimodal material and semantic segmentation tasks. MMSFormer outperforms current state-of-the-art models on three different datasets. As we begin with only one input modality, performance improves progressively as additional modalities are incorporated, showcasing the effectiveness of the fusion block in combining useful information from diverse input modalities. Ablation studies show that different modules in the fusion block are crucial for overall model performance. Furthermore, our ablation studies also highlight the capacity of different input modalities to improve performance in the identification of different types of materials. The code and pretrained models will be made available at https://github.com/csiplab/MMSFormer.
Insights into Density and Location Diagnostics of Photoionized Outflows in X-Ray Binaries

The population of metastable levels is key to high-precision density diagnostics of astrophysical plasmas. In photoionized plasmas, density is used to infer the distance from the ionizing source, which is otherwise difficult to obtain. Perfecting models that compute these populations is thus crucial. The present paper presents a semianalytic hydrogenic approximation for assessing the relative importance of different processes in populating atomic levels. This approximation shows that in the presence of a radiation source, photoexcitations and collisional excitations are both important over a wide range of plasma temperatures and ionizing spectra, while radiative recombination is orders of magnitude weaker. The interesting case of Fe+21 with a collisional radiative model with photoexcitation demonstrates this effect. The population of the first excited metastable level in Fe+21 is sensitive to the electron number density in the critical range of n e = 1012–1015 cm−3; it was observed to be significantly populated in the X-ray spectrum of the 2005 outburst of the X-ray binary GRO J1655-40. The present model shows that photoexcitation is the predominant process indirectly populating the metastable level. For the photoionized plasma in the GRO J1655-40 outflow, the model indicates a measured value of n e = (2.6 ± 0.5) × 1013 cm−3, implying a distance from the source of r = (4.4 ± 0.4) × 1010 cm. Finally, we show how the computed critical density and distance of Fe+21 yield the correct ionization parameter of the ion, independent of ionization balance calculations.
Beyond braid statistics: Constructing a lattice model for anyons with exchange statistics intrinsic to one dimension

Anyons obeying fractional exchange statistics arise naturally in two dimensions: Hard-core two-body constraints make the configuration space of particles not simply-connected. The braid group describes how topologically-inequivalent exchange paths can be associated to non-trivial geometric phases for abelian anyons. Braid-anyon exchange statistics can also be found in one dimension (1D), but this requires broken Galilean invariance to distinguish different ways for two anyons to exchange. However, recently it was shown that an alternative form of exchange statistics can occur in 1D because hard-core three-body constraints also make the configuration space not simply-connected. Instead of the braid group, the topology of exchange paths and their associated non-trivial geometric phases are described by the traid group. In this article we propose a first concrete model realizing this alternative form of anyonic exchange statistics. Starting from a bosonic lattice model that implements the desired geometric phases with number-dependent Peierls phases, we then define anyonic operators so that the kinetic energy term in the Hamiltonian becomes local and quadratic with respect to them. The ground-state of this traid-anyon-Hubbard model exhibits several indications of exchange statistics intermediate between bosons and fermions, as well as signs of emergent approximate Haldane exclusion statistics. The continuum limit results in a Galilean invariant Hamiltonian with eigenstates that correspond to previously constructed continuum wave functions for traid anyons. This provides not only an a-posteriori justification of our lattice model, but also shows that our construction serves as an intuitive approach to traid anyons, i.e. anyons intrinsic to 1D.
Rapid extensive erosion of the North Alpine foreland basin at 5–4 Ma

An extensive low‐temperature thermochronology study of the Swiss part of the North Alpine Foreland Basin has been conducted with the aim of deciphering the late Neogene basin development. Apatite fission‐track (AFT) ages from wells located in the distal and weakly deformed Plateau Molasse reveal rapid, km‐scale erosion with an onset in early Pliocene times. The distribution of erosion implies that there was a strong gradient in late Miocene deposition rates along the strike of the basin, with an increase towards the northeast. Additionally, renewed tectonic activity and km‐scale out‐of‐sequence thrusting during Plio‐Pleistocene times is indicated by AFT data from wells within the thrusted, proximal Subalpine Molasse. Several different mechanisms driving late Neogene basin erosion and accelerated erosional discharge from the European Alps have been considered in the literature. Based on our AFT results, we reevaluate previously published hypotheses, and suggest that a change in climate and/or drainage reorganisation coincided and possibly interacted with preexisting tectonic and geodynamic forces in the Alpine region.
Minimum-dissipation model for large-eddy simulation in OpenFoam -A study on channel flow, periodic hills and flow over cylinder

The minimum-dissipation model is applied to turbulent channel flows up to $Re_\tau = 2000$, flow past a circular cylinder at $Re=3900$, and flow over periodic hills at $Re=10595$. Numerical simulations are performed in OpenFOAM which is based on finite volume methods for discretizing partial differential equations. We use both symmetry-preserving discretizations and standard second-order accurate discretization methods in OpenFOAM on structured meshes. The results are compared to DNS and experimental data. The results of channel flow mainly demonstrate the static QR model performs equally well as the dynamic models while reducing the computational cost. The model constant $C=0.024$ gives the most accurate prediction, and the contribution of the sub-grid model decreases with the increase of the mesh resolution and becomes very small (less than 0.2 molecular viscosity) if the fine meshes are used. Furthermore, the QR model is able to predict the mean and rms velocity accurately up to $Re_\tau = 2000$ without a wall damping function. The symmetry-preserving discretization outperforms the standard OpenFOAM discretization at $Re_\tau=1000$. The results for the flow over a cylinder show that mean velocity, drag coefficient, and lift coefficient are in good agreement with the experimental data. The symmetry-preserving scheme with the QR model predicts the best results. The various comparisons carried out for flows over periodic hills demonstrate the need to use the symmetry-preserving discretization or central difference schemes in OpenFOAM in combination with the minimum dissipation model. The model constant of $C=0.024$ is again the best one.
Quasi-integrability and nonlinear resonances in cold atoms under modulation

Quantum dynamics of a collection of atoms subjected to phase modulation has been carefully revisited. We present an exact analysis of the evolution of a two-level system (represented by a spinor) under the action of a time-dependent matrix Hamiltonian. The dynamics is shown to evolve on two coupled potential energy surfaces, one of them binding while the other one scattering type. The dynamics is shown to be quasi-integrable with nonlinear resonances. The bounded dynamics with intermittent scattering at random moments presents the scenario reminiscent to Anderson and dynamical localization. We believe that a careful analytical investigation of a multi-component system which is classically non-integrable is relevant to many other fields, including quantum computation with multi-qubit system.
Counterexample to N\'eron-Ogg-Shafarevich criterion for Calabi-Yau threefolds

For any prime $p>5$ we construct a Calabi-Yau threefold $X$ defined over a finite extension $K$ of $\mathbb{Q}_p$ such that every model of $X$ over $\operatorname{Spec}\mathcal{O}_K$ has singular special fiber, yet the Galois action on the $\ell$-adic cohomology group $H^3_{\acute{e}t}(X,\mathbb{Q}_\ell)$ is unramified for $\ell\neq p$ and crystalline for $\ell=p$. This provides a counterexample to the analogue of the N\'eron-Ogg-Shafarevich criterion for three-dimensional Calabi-Yau manifolds.
Pseudo R\'enyi Entanglement Entropies For an Excited State and Its Time Evolution in a 2D CFT

In this paper, we investigate the second and third pseudo R\'enyi entanglement entropies (PREE) for a locally excited state $| \psi \rangle $ and its time evolution $| \phi \rangle = e^{- i H t} | \psi \rangle$ in a two-dimensional conformal field theory whose field content is a free massless scalar field. We consider excited states which are constructed by applying primary operators at time $t=0$, on the vacuum state. We study the time evolution of the PREE for an entangling region in the shape of finite and semi-infinite intervals at zero temperature. It is observed that the PREE is always a complex number for $t \neq 0$ and is a pure real number at $t=0$. Moreover, we discuss on its dependence on the location $x_m$ of the center of the entangling region.
Unsupervised Multi-document Summarization with Holistic Inference

Multi-document summarization aims to obtain core information from a collection of documents written on the same topic. This paper proposes a new holistic framework for unsupervised multi-document extractive summarization. Our method incorporates the holistic beam search inference method associated with the holistic measurements, named Subset Representative Index (SRI). SRI balances the importance and diversity of a subset of sentences from the source documents and can be calculated in unsupervised and adaptive manners. To demonstrate the effectiveness of our method, we conduct extensive experiments on both small and large-scale multi-document summarization datasets under both unsupervised and adaptive settings. The proposed method outperforms strong baselines by a significant margin, as indicated by the resulting ROUGE scores and diversity measures. Our findings also suggest that diversity is essential for improving multi-document summary performance.