Miracle-dz/UniFAR-FTUs huggingface dataset:
Strain within the ultrahigh-pressure Western Gneiss region of Norway recorded by quartz CPOs

Abstract Electron back-scatter diffraction (EBSD) was used to measure the crystal preferred orientations (CPOs) from 101 samples across the ultrahigh-pressure Western Gneiss region of Norway to assess slip systems, sense of shear, CPO strength, and strain geometry. The CPOs suggest a dominance of prism ⟨a⟩ slip, with lesser amounts of prism [c] slip and basal ⟨a⟩ slip; there are few Type I and Type II girdles. The major structural feature in the study area – the high-strain, top-W, normal-sense Nordfjord–Sogn Detachment Zone – is characterized by asymmetric and strong CPOs; an eastern domain with strong asymmetric CPOs shows top-E shear. Strain throughout the study area was characterized by a mix of plane strain and constriction with no evidence of flattening. Adjacent gneiss and quartzite/vein samples have similar CPOs.
Emerging Applications of Interferometric Synthetic Aperture Radar (InSAR) in Geomorphology and Hydrology

Interferometric synthetic aperture radar (InSAR) is a powerful geodetic tool used to construct digital elevation models of the earth’s topography and to image centimeter–scale displacements associated with crustal deformation and the flow of ice sheets. The past decade has seen significant improvements in our understanding of earthquakes, volcanoes, and glaciers as a direct result of this technology. Geomorphology and hydrology can also benefit from InSAR. A small but growing body of work shows that it is possible to interferometrically measure centimeter–scale motions associated with unstable slopes, land subsidence, fluctuating soil moisture and water levels, and deforming river–ice cover. Maps of interferometric correlation provide information about the structure of snow and reveal areas disturbed by erosion, sedimentation, flooding, snowfall, and aufeis growth. At present, such techniques are underdeveloped and largely overlooked by the geographic and radar communities. This article reviews these emerging geomorphic and hydrologic applications of InSAR and presents a first demonstration of motion detection for river ice.
Comment on “The Law of Large Demand for Information”

Say that one information structure is eventually Blackwell sufficient for another if, for every large enough n, an n‐sample from the first is Blackwell sufficient (Blackwell (1951, 1954)) for an n‐sample from the second. This note shows that eventual Blackwell sufficiency lies strictly between (one‐shot) Blackwell sufficiency and the ordering of information structures formulated by Moscarini and Smith (2002), and thus offers a new criterion for comparing experiments. A characterization of eventual Blackwell sufficiency in terms of the one‐shot experiments remains an open question.
The Clock-in-the-Box, a brief cognitive screen, is associated with failure to return home in an elderly hospitalized sample

Purpose Cognitive screening upon hospital admission can provide important information about the patient’s ability to process information during the inpatient stay. The Clock-in-the-Box (CIB) is a rapidly administered cognitive screening measure which has been previously validated with cognitive screening and neuropsychological assessments. The purpose of this study is to demonstrate the predictive validity of the CIB for discharge location among a sample of older medical inpatients. Patients and methods Hospitalized Veterans (N=218), aged 55 years and older, were recruited on the day after admission after they gave their consent. These participants completed the CIB, the Montreal Cognitive Assessment, and self-report measures of daily functioning. Using logistic regression models, the bivariable and multivariable impact of the cognitive screening and functional assessments were examined for their ability to predict whether the participants did not return home after hospitalization (eg, admission to subacute rehabilitation facilities or nursing facilities). Results The participants were older (mean 71.5±9.5 years) and predominantly male (92.7%). The CIB score was independently associated with discharge to locations other than home (odds ratio =0.72, 95% confidence interval =0.60–0.87, P=0.001) and remained associated after adjusting for demographics, prehospitalization functional abilities, and Montreal Cognitive Assessment score (adjusted odds ratio =0.55, 95% confidence interval =0.36–0.83, P=0.004). Conclusion The current evidence, combined with its brevity and ease of use, supports the use of the CIB as a cognitive screen for inpatient older adults, in order to help inform clinical treatment decisions and discharge planning.
Wage-Setting Institutions and Corporate Governance

We present a model in which wage-setting structures explain cross-country variation in corporate governance. The model predicts a nonmonotonic relationship between the level of centralization in wage-bargaining institutions and the levels of firm ownership concentration and investor protection legislation. Low and high degrees of centralization yield less concentrated ownership and more investor protection than intermediate degrees. Like recent research, this paper highlights labor as a key constituent in shaping corporate governance. However, our theory can resolve an important puzzle this research confronts, namely, why Scandinavian countries with higher than average labor strength also have higher than average investor protection legislation.
Harnessing implementation science to improve care quality and patient safety: a systematic review of targeted literature.

BACKGROUND Getting greater levels of evidence into practice is a key problem for health systems, compounded by the volume of research produced. Implementation science aims to improve the adoption and spread of research evidence. A linked problem is how to enhance quality of care and patient safety based on evidence when care settings are complex adaptive systems. Our research question was: according to the implementation science literature, which common implementation factors are associated with improving the quality and safety of care for patients? METHODS We conducted a targeted search of key journals to examine implementation science in the quality and safety domain applying PRISMA procedures. Fifty-seven out of 466 references retrieved were considered relevant following the application of exclusion criteria. Included articles were subjected to content analysis. Three reviewers extracted and documented key characteristics of the papers. Grounded theory was used to distil key features of the literature to derive emergent success factors. RESULTS Eight success factors of implementation emerged: preparing for change, capacity for implementation-people, capacity for implementation-setting, types of implementation, resources, leverage, desirable implementation enabling features, and sustainability. Obstacles in implementation are the mirror image of these: for example, when people fail to prepare, have insufficient capacity for implementation or when the setting is resistant to change, then care quality is at risk, and patient safety can be compromised. CONCLUSIONS This review of key studies in the quality and safety literature discusses the current state-of-play of implementation science applied to these domains.
The Tradeoff between Horizontal and Vertical Representations of Sparse Data Sets Paper ID : 469

Sparse data is an important and challenging type of information for RDBMS to store and query. The traditional “horizontal” representation for sparse data results in tuples with a lot of null values. Observing this, in 2001, Agrawal et al. explored the alternative “vertical” representation and showed that this vertical representation “uniformly outperforms” the horizontal representation for sparse datasets. In this paper, we show that, in contrast to what was observed in 2001, in many cases the horizontal representation is substantially better than the vertical. We show that the choice of data representation depends on a number of factors including the efficiency with which nulls are handled, the sparseness of the data, and the number of attributes requested for the query output. We explore the effect of these and other parameters on the relative performance of the two formats in experiments on two commercial relational databases. We also report some problems we experienced with the databases on these workloads and offer suggestions for improvements in RDBMS to make them better able to handle sparse data sets.
Early-Onset, Coexisting Autoimmunity and Decreased HLA-Mediated Susceptibility Are the Characteristics of Diabetes in Down Syndrome

OBJECTIVE Down syndrome (DS) is associated with an increased risk of diabetes, particularly in young children. HLA-mediated risk is however decreased in children with DS and diabetes (DSD). We hypothesized that early-onset diabetes in children with DS is etiologically different from autoimmune diabetes. RESEARCH DESIGN AND METHODS Clinical and immunogenetic markers of autoimmune diabetes were studied in 136 individuals with DSD and compared with 194 age- and sex-matched individuals with type 1 diabetes, 222 with DS, and 671 healthy controls. HLA class II was analyzed by sequence-specific primed PCR. Islet autoantibodies were measured by radioimmunoassay. RESULTS Age at onset of diabetes was biphasic, with 22% of DS children diagnosed before 2 years of age, compared with only 4% in this age-group with type 1 diabetes in the general population (P < 0.0001). The frequency of the highest-risk type 1 diabetes–associated HLA genotype, DR3-DQ2/DR4-DQ8, was decreased in both early- and later-onset DSD compared with age-matched children with type 1 diabetes (P < 0.0001), although HLA DR3-DQ2 genotypes were increased (P = 0.004). Antibodies to GAD were observed in all five samples tested from children diagnosed at ≤2 years of age, and persistent islet autoantibodies were detected in 72% of DSD cases. Thyroid and celiac disease were diagnosed in 74 and 14%, respectively, of the DSD cohort. CONCLUSIONS Early-onset diabetes in children with DS is unlikely to be etiologically different from autoimmune diabetes occurring in older DS children. Overall, these studies demonstrate more extreme autoimmunity in DSD typified by early-onset diabetes with multiple autoimmunity, persistent islet autoantibodies, and decreased HLA-mediated susceptibility.
Differences in Sepsis Treatment and Outcomes between Public and Private Hospitals in Brazil: A Multicenter Observational Study

Background Previous studies showed higher sepsis mortality rates in Brazil compared to other developed or developing countries. Moreover, another trial demonstrated an increased mortality rate in public hospitals compared to private hospitals in Brazil. The reasons for these findings may include delayed recognition and inadequate treatment of sepsis in public facilities. We designed this study to evaluate the factors associated with mortality in septic patients admitted to intensive care units in a network of public and private institutions. Materials and Methods This study is a retrospective analysis of a prospective cohort of sepsis patients in 19 private and public institutions in Brazil. We analyzed data from the original database and collected additional data to assess compliance to the treatment guidelines and to determine the time from the onset of organ dysfunction and the sepsis diagnosis by the healthcare team. Results A total of 396 patients were analyzed. Patients in public hospitals were younger, had a greater number of dysfunctional organs at baseline and a lower chance to have sepsis diagnosed within two hours of the onset of organ dysfunction. Private hospitals had a better compliance to lactate and blood culture sampling and maintenance of glycemic control. The multivariate analysis showed that age, disease severity at baseline and being treated at a public hospital were independent risk factors for mortality. A delay in the sepsis diagnosis of longer than two hours was associated with mortality only in the public setting. Conclusions We confirmed a lower sepsis mortality rate in the private hospitals of this network. Being treated in a public hospital was an independent factor for mortality. Delayed recognition of sepsis was more frequent in public institutions and this might have been associated with a higher mortality. Improving sepsis recognition and early diagnosis may be important targets in public institutions.
Dealing with Multiple Requirements in Geometric Arrangements

Existing algorithms for building layouts from geometric primitives are typically designed to cope with requirements such as orthogonal alignment, overlap removal, optimal area usage, hierarchical organization, among others. However, most techniques are able to tackle just a few of those requirements simultaneously, impairing their use and flexibility. In this work we propose a novel methodology for building layouts from geometric primitives that concurrently addresses a wider range of requirements. Relying on multidimensional projection and mixed integer optimization, our approach arranges geometric objects in the visual space so as to generate well structured layouts that preserve the semantic relation among objects while still making an efficient use of display area. Moreover, scalability is handled through a hierarchical representation scheme combined with navigation tools. A comprehensive set of quantitative comparisons against existing geometry-based layouts and applications on text, image, and video data set visualization prove the effectiveness of our approach.
FlexiBLAS-A flexible BLAS library with runtime exchangeable backends

The BLAS library is one of the central libraries for the implementation of numerical algorithms. It serves as the basis for many other numerical libraries like LAPACK, PLASMA or MAGMA (to mention only the most obvious). Thus a fast BLAS implementation is the key ingredient for efficient applications in this area. However, for debugging or benchmarking purposes it is often necessary to replace the underlying BLAS implementation of an application, e.g. to disable threading or to include debugging symbols. In this paper we present a novel framework that allows one to exchange the BLAS implementation at run-time via an environment variable. Our concept neither requires relinkage, nor recompilation of the application. Numerical experiments show that there is no notable overhead introduced by this new approach. For only a very little overhead the framework naturally extends to a minimal profiling setup that allows one to count numbers of calls to the BLAS routines used and measure the time spent therein.
Mitochondrial alarmins released by degenerating motor axon terminals activate perisynaptic Schwann cells

Significance The neuromuscular junction is the site of transmission of the nerve impulse to the muscle. This finely tuned synapse relies on at least three components: the motor neuron, the muscle fiber, and the Schwann cells, which assist nerve recovery after injury. Using animal neurotoxins to induce an acute and reversible nerve degeneration, we have identified several mitochondrial molecules through which the damaged nerve terminal communicates with nearby cells, activating signaling pathways in Schwann cells involved in nerve regeneration. Among these messengers, hydrogen peroxide appears to be crucial at the initial stages of regeneration, because its inactivation delays the functional recovery of the damaged neuromuscular junction in vivo. These findings provide important indications about the pharmacological treatment of traumatized patients. An acute and highly reproducible motor axon terminal degeneration followed by complete regeneration is induced by some animal presynaptic neurotoxins, representing an appropriate and controlled system to dissect the molecular mechanisms underlying degeneration and regeneration of peripheral nerve terminals. We have previously shown that nerve terminals exposed to spider or snake presynaptic neurotoxins degenerate as a result of calcium overload and mitochondrial failure. Here we show that toxin-treated primary neurons release signaling molecules derived from mitochondria: hydrogen peroxide, mitochondrial DNA, and cytochrome c. These molecules activate isolated primary Schwann cells, Schwann cells cocultured with neurons and at neuromuscular junction in vivo through the MAPK pathway. We propose that this inter- and intracellular signaling is involved in triggering the regeneration of peripheral nerve terminals affected by other forms of neurodegenerative diseases.
PAK1 and CtBP1 Regulate the Coupling of Neuronal Activity to Muscle Chromatin and Gene Expression

ABSTRACT Acetylcholine receptor (AChR) expression in innervated muscle is limited to the synaptic region. Neuron-induced electrical activity participates in this compartmentalization by promoting the repression of AChR expression in the extrasynaptic regions. Here, we show that the corepressor CtBP1 (C-terminal binding protein 1) is present on the myogenin promoter together with repressive histone marks. shRNA-mediated downregulation of CtBP1 expression is sufficient to derepress myogenin and AChR expression in innervated muscle. Upon denervation, CtBP1 is displaced from the myogenin promoter and relocates to the cytoplasm, while repressive histone marks are replaced by activating ones concomitantly to the activation of myogenin expression. We also observed that upon denervation the p21-activated kinase 1 (PAK1) expression is upregulated, suggesting that phosphorylation by PAK1 may be involved in the relocation of CtBP1. Indeed, preventing CtBP1 Ser158 phosphorylation induces CtBP1 accumulation in the nuclei and abrogates the activation of myogenin and AChR expression. Altogether, these findings reveal a molecular mechanism to account for the coordinated control of chromatin modifications and muscle gene expression by presynaptic neurons via a PAK1/CtBP1 pathway.
A Simulation Study Comparing Epidemic Dynamics on Exponential Random Graph and Edge-Triangle Configuration Type Contact Network Models

We compare two broad types of empirically grounded random network models in terms of their abilities to capture both network features and simulated Susceptible-Infected-Recovered (SIR) epidemic dynamics. The types of network models are exponential random graph models (ERGMs) and extensions of the configuration model. We use three kinds of empirical contact networks, chosen to provide both variety and realistic patterns of human contact: a highly clustered network, a bipartite network and a snowball sampled network of a “hidden population”. In the case of the snowball sampled network we present a novel method for fitting an edge-triangle model. In our results, ERGMs consistently capture clustering as well or better than configuration-type models, but the latter models better capture the node degree distribution. Despite the additional computational requirements to fit ERGMs to empirical networks, the use of ERGMs provides only a slight improvement in the ability of the models to recreate epidemic features of the empirical network in simulated SIR epidemics. Generally, SIR epidemic results from using configuration-type models fall between those from a random network model (i.e., an Erdős-Rényi model) and an ERGM. The addition of subgraphs of size four to edge-triangle type models does improve agreement with the empirical network for smaller densities in clustered networks. Additional subgraphs do not make a noticeable difference in our example, although we would expect the ability to model cliques to be helpful for contact networks exhibiting household structure.
IMPROVING SECOND ORDER REDUCED BIAS EXTREME VALUE INDEX ESTIMATION

• Classical extreme value index estimators are known to be quite sensitive to the number k of top order statistics used in the estimation. The recently developed second order reduced-bias estimators show much less sensitivity to changes in k. Here, we are interested in the improvement of the performance of reduced-bias extreme value index estimators based on an exponential second order regression model applied to the scaled log-spacings of the top k order statistics. In order to achieve that improvement, the estimation of a “scale” and a “shape” second order parameters in the bias is performed at a level k1 of a larger order than that of the level k at which we compute the extreme value index estimators. This enables us to keep the asymptotic variance of the new estimators of a positive extreme value index γ equal to the asymptotic variance of the Hill estimator, the maximum likelihood estimator of γ, under a strict Pareto model. These new estimators are then alternatives to the classical estimators, not only around optimal and/or large levels k, but for other levels too. To enhance the interesting performance of this type of estimators, we also consider the estimation of the “scale” second order parameter only, at the same level k used for the extreme value index estimation. The asymptotic distributional properties of the proposed class of γ-estimators are derived and the estimators are compared with other similar alternative estimators of γ recently introduced in the literature, not only asymptotically, but also for finite samples through Monte Carlo techniques. Case-studies in the fields of finance and insurance will illustrate the performance of the new second order reduced-bias extreme value index estimators.
Prolonged Synaptic Currents and Glutamate Spillover at the Parallel Fiber to Stellate Cell Synapse

Although neurons often fire in bursts, most of what is known about glutamate signaling and postsynaptic receptor activation is based on experiments using single stimuli. Here we examine the activation of ionotropic glutamate receptors by bursts at the parallel fiber to stellate cell synapse. We show that brief stimulus trains generate prolonged AMPA receptor (AMPAR)- and NMDA receptor (NMDAR)-mediated EPSCs recorded in whole-cell voltage clamp. These EPSCs contrast with the rapid AMPAR-mediated EPSC evoked by a single stimulus. The prolonged AMPAR-mediated EPSC is promoted by high-frequency and high-intensity trains and can persist for hundreds of milliseconds. This EPSC is also increased byl-trans-2,4-PDC, an inhibitor of glutamate transporters, suggesting that these transporters usually limit the synaptic response to trains. These prolonged EPSCs reflect both receptor properties and a long-lasting glutamate signal. In addition, several experiments demonstrate that glutamate spillover can contribute to receptor activation. First, imaging stimulus-evoked changes in presynaptic calcium establishes that distinct parallel fiber bands can be activated. Second, activation of parallel fibers that do not directly synapse onto a given stellate cell can evoke indirect AMPAR- and NMDAR-mediated EPSCs in that cell. Third, experiments using the use-dependent NMDAR blocker MK-801 show that these indirect EPSCs reflect glutamate spillover in response to trains. Together, these findings indicate that stimulus trains can generate a sustained and widespread glutamate signal that can in turn evoke large and prolonged EPSCs mediated by ionotropic glutamate receptors. These synaptic properties may have important functional consequences for stellate cell firing.