bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generic IoT Platform for Analytics
Authors: Pradeep B , Balasubramani R 
Published: September 2019

Abstract
Internet, since its root has reclassified the manners by which the world collaborates today, countless devices speak with each other which make our life simple and thus improve this world a place to dwell. The Internet of Things (IoT) is the system of physical gadgets, vehicles, home machines and different things implanted with hardware, programming, sensors and network which empowers these objects to interface and trade information. Today the world has swung to a place where each and everything should be associated. This paper discusses, how a generic IoT platform has been developed to get the data from various sensors from agricultural lands and conversely control the devices from distant places using Internet. For e.g., a smart plug can help you save and monitor your energy consumption by showing energy statistics. Sensors fitted in agricultural lands has been chosen to test the quality of the IoT platform.
Predictors and Clinical Outcomes of Poor Platelet Recovery in Adult Dengue With Thrombocytopenia: A Multicenter, Prospective Study
Authors: Archuleta Sophia , Chia Po Ying , Wei Yuan , Syed-Omar Sharifah F , Low Jenny G , Oh Helen M , Fisher Dale , Ponnampalavanar Sasheela S L , Wijaya Limin , Kamarulzaman Adeeba , Lum Lucy C S , Tambyah Paul A , Leo Yee-Sin , Lye David C 
Published: September 2019

AbstractBackgroundPlatelet transfusion is common in dengue patients with thrombocytopenia. We previously showed in a randomized clinical trial that prophylactic platelet transfusion did not reduce clinical bleeding. In this study, we aimed to characterize the predictors and clinical outcomes of poor platelet recovery in transfused and nontransfused participants.MethodsWe analyzed patients from the Adult Dengue Platelet Study with laboratory-confirmed dengue with ≤20 000 platelets/μL and without persistent mild bleeding or any severe bleeding in a post hoc analysis. Poor platelet recovery was defined as a platelet count of ≤20 000/μL on Day 2. We recruited 372 participants from 5 acute care hospitals located in Singapore and Malaysia between 29 April 2010 and 9 December 2014. Of these, 188 were randomly assigned to the transfusion group and 184 to the control group.ResultsOf 360 patients, 158 had poor platelet recovery. Age, white cell count, and day of illness at study enrollment were significant predictors of poor platelet recovery after adjustment for baseline characteristics and platelet transfusion. Patients with poor platelet recovery had longer hospitalizations but no significant difference in other clinical outcomes, regardless of transfusion. We found a significant interaction between platelet recovery and transfusion; patients with poor platelet recovery were more likely to bleed if given a prophylactic platelet transfusion (odds ratio 2.34, 95% confidence interval 1.18–4.63).ConclusionsDengue patients with thrombocytopenia who were older or presented earlier and with lower white cell counts were more likely to have poor platelet recovery. In patients with poor platelet recovery, platelet transfusion does not improve outcomes and may actually increase the risk of bleeding. The mechanisms of poor platelet recovery need to be determined.Clinical Trials RegistrationNCT01030211.
RPGeNet v2.0: expanding the universe of retinal disease gene interactions network
Authors: Arenas-Galnares Rodrigo , Castillo-Lara Sergio , Toulis Vasileios , Boloc Daniel , Gonzàlez-Duarte Roser , Marfany Gemma , Abril Josep F 
Published: September 2019

AbstractRPGeNet offers researchers a user-friendly queriable tool to visualize the interactome network of visual disorder genes, thus enabling the identification of new potential causative genes and the assignment of novel candidates to specific retinal or cellular pathways. This can be highly relevant for clinical applications as retinal dystrophies affect 1:3000 people worldwide, and the causative genes are still unknown for 30% of the patients. RPGeNet is a refined interaction network interface that limits its skeleton network to the shortest paths between each and every known causative gene of inherited syndromic and non-syndromic retinal dystrophies. RPGeNet integrates interaction information from STRING, BioGRID and PPaxe, along with retina-specific expression data and associated genetic variants, over a Cytoscape.js web interface. For the new version, RPGeNet v2.0, the database engine was migrated to Neo4j graph database manager, which speeds up the initial queries and can handle whole interactome data for new ways to query the network. Further, user facilities have been introduced as the capability of saving and restoring a researcher customized network layout or as novel features to facilitate navigation and data projection on the network explorer interface. Responsiveness has been further improved by transferring some functionality to the client side.
The Prevalence and Impact of Model Violations in Phylogenetic Analysis
Authors: Naser-Khdour Suha , Minh Bui Quang , Zhang Wenqi , Stone Eric A , Lanfear Robert 
Published: September 2019

AbstractIn phylogenetic inference, we commonly use models of substitution which assume that sequence evolution is stationary, reversible, and homogeneous (SRH). Although the use of such models is often criticized, the extent of SRH violations and their effects on phylogenetic inference of tree topologies and edge lengths are not well understood. Here, we introduce and apply the maximal matched-pairs tests of homogeneity to assess the scale and impact of SRH model violations on 3,572 partitions from 35 published phylogenetic data sets. We show that roughly one-quarter of all the partitions we analyzed (23.5%) reject the SRH assumptions, and that for 25% of data sets, tree topologies inferred from all partitions differ significantly from topologies inferred using the subset of partitions that do not reject the SRH assumptions. This proportion increases when comparing trees inferred using the subset of partitions that rejects the SRH assumptions, to those inferred from partitions that do not reject the SRH assumptions. These results suggest that the extent and effects of model violation in phylogenetics may be substantial. They highlight the importance of testing for model violations and possibly excluding partitions that violate models prior to tree reconstruction. Our results also suggest that further effort in developing models that do not require SRH assumptions could lead to large improvements in the accuracy of phylogenomic inference. The scripts necessary to perform the analysis are available in https://github.com/roblanf/SRHtests, and the new tests we describe are available as a new option in IQ-TREE (http://www.iqtree.org).
Stagnant-lid convection with diffusion and dislocation creep rheology: Influence of a non-evolving grain size
Authors: Schulz Falko , Tosi Nicola , Plesa Ana-Catalina , Breuer Doris 
Published: September 2019

SUMMARY
Heat transfer in one-plate planets is governed by mantle convection beneath the stagnant lid. Newtonian diffusion creep and non-Newtonian dislocation creep are the main mechanisms controlling large-scale mantle deformation. Diffusion creep strongly depends on the grain size (d), which in turn controls the relative importance of the two mechanisms. However, dislocation creep is usually neglected in numerical models of convection in planetary mantles. These mostly assume linear diffusion creep rheologies, often based on reduced activation parameters (compared to experimental values) that are thought to mimic the effects of dislocation creep and, as a side benefit, also ease the convergence of linear solvers. Assuming Mars-like parameters, we investigated the influence of a non-evolving grain size on Rayleigh–Bénard convection in the stagnant lid regime. In contrast to previous studies based on the Frank–Kamentskii approximation, we used Arrhenius laws for diffusion and dislocation creep—including temperature as well as pressure dependence—based on experimental measurements of olivine deformation. For d ≲ 2.5 mm, convection is dominated by diffusion creep. We observed an approximately equal partitioning between the two mechanisms for d ≈ 5 mm, while dislocation creep dominates for d ≳ 8 mm. Independent estimates of an average grain size of few mm up to 1 cm or more for present-day Mars suggest thus that dislocation creep plays an important role and possibly dominates the deformation. Mimicking dislocation creep convection using an effective linear rheology with reduced activation parameters, as often done in simulations of convection and thermal evolution of Mars, has significant limitations. Although it is possible to mimic mean temperature, mean lid thickness and Nusselt number, there are important differences in the flow pattern, root mean square velocity, and lid shape. The latter in particular affects the amount and distribution of partial melt, suggesting that care should be taken upon predicting the evolution of crust production when using simplified rheologies. The heat transport efficiency expressed in terms of the Nusselt number as a function of the Rayleigh number is thought to depend on the deformation mechanisms at play. We show that the relative volume in which dislocation creep dominates has nearly no influence on the Nusselt–Rayleigh scaling relation when a mixed rheology is used. In contrast, the flow pattern influences the Nusselt number more strongly. We derived a scaling law for the Nusselt number based on the mean lid thickness (〈L〉) and on the effective Rayleigh number (Raeff) obtained by suitably averaging the viscosity beneath the stagnant lid. We found that the Nusselt number follows the scaling $\mathrm{Nu} = 0.37 \langle L \rangle ^{-0.666} \mathrm{Ra}_{\mathrm{eff}}^{0.071}$ regardless of the deformation mechanism.
Is immune recovery different depending on the use of integrase strand transfer inhibitor-, non-nucleoside reverse transcriptase- or boosted protease inhibitor-based regimens in antiretroviral-naive HIV-infected patients?
Authors: Milanés-Guisado Yusnelkis , Gutiérrez-Valencia Alicia , Muñoz-Pichardo Juan Manuel , Rivero Antonio , Trujillo-Rodriguez Maria , Ruiz-Mateos Ezequiel , Espinosa Nuria , Roca-Oporto Cristina , Viciana Pompeyo , López-Cortés Luis F 
Published: September 2019

Abstract

Objectives
To analyse whether integrase inhibitor (InSTI)-based regimens achieve better immunological recovery than NNRTI- or boosted PI (bPI)-based regimens as initial ART.

Methods
In a retrospective analysis, we selected patients who initiated ART with two NRTIs plus an InSTI, an NNRTI or a bPI and maintained both the same ‘third drug’ and an HIV-RNA <50 copies/mL in ≥95% of determinations once undetectable viral load had been achieved. We compared CD4+ count, %CD4+ and CD4+/CD8+ ratio recovery over 2 years. Data were analysed using mixed-effects regression models for repeated measures.

Results
Of the 836 patients included, 208, 481 and 147 initiated with InSTI, NNRTI and bPI, respectively. For CD4+, %CD4+ and CD4+/CD8+ two main slopes were identified: from month 0 to month 6, with the highest increments; and from month 6 to month 24, with smaller increases every semester. Although the patients on InSTI achieved undetectable viral load faster, for CD4+ and %CD4+ there were no differences in the slopes of change according to the third drug either for the first phase (P = 0.137 and P = 0.393, respectively) or from month 6 onwards (P = 0.834 and P = 0.159, respectively). The increase in CD4+/CD8+ was slightly higher for bPI compared with InSTI (difference of 0.0119, 95% CI 0.0020–0.0205; P = 0.018), but clinically negligible. From month 6 onwards, no differences were found between treatment groups (P = 0.176).

Conclusions
Immune restoration measured as CD4+ count, %CD4+ and CD4+/CD8+ increases was independent of the third antiretroviral drug class used when given with two NRTIs.
Judgment in C-617/17 PZU Życie: ne bis in idem—First Steps towards a Twofold Test for idem?
Authors: Simpson Claire 
Published: September 2019

Abstract
Judgment of 3 April 2019, Powszechny Zakład Ubezpieczeń na Życie S. A, C-617/17, EU: C: 2019: 283.
Fining an undertaking in a single decision for breach of national and EU competition laws does not breach the principle of ne bis in idem.
Thermal desorption induced by chemical reaction on dust surface
Authors: Yamamoto Tetsuo , Miura Hitoshi , Shalabiea Osama M 
Published: September 2019

ABSTRACT
We propose a new mechanism of desorption of molecules from dust surface heated by exothermic reactions and derive a formula for the desorption probability. This theory includes no parameter that is physically ambiguous. It can predict the desorption probabilities not only for one-product reactions but also for multiproduct reactions. Furthermore, it can predict desorption probability of a pre-adsorbed molecule induced by a reaction at a nearby site. This characteristic will be helpful to verify the theory by the experiments which involve complex reaction networks. We develop a quantitative method of comparing the predicted desorption probability with the experiments. This method is also applied to the theories proposed so far. It is shown that each of them reproduces the experiments with similar precision, although the amount of systematic experimental data that give definite desorption probability are limited at present. We point out the importance of clarifying the nature of the substrate used in the experiment, in particular, its thermal diffusivity. We show a way to estimate the substrate properties from systematic desorption experiments without their direct measurements.
OCCASO – III. Iron peak and α elements of 18 open clusters. Comparison with chemical evolution models and field stars
Authors: Casamiquela L , Blanco-Cuaresma S , Carrera R , Balaguer-Núñez L , Jordi C , Anders F , Chiappini C , Carbajo-Hijarrubia J , Aguado D S , del Pino A , Díaz-Pérez L , Gallart C , Pancino E 
Published: September 2019

ABSTRACT
The study of open-cluster chemical abundances provides insights on stellar nucleosynthesis processes and on Galactic chemo-dynamical evolution. In this paper we present an extended abundance analysis of 10 species (Fe, Ni, Cr, V, Sc, Si, Ca, Ti, Mg, O) for red giant stars in 18 OCCASO clusters. This represents a homogeneous sample regarding the instrument features, method, line list and solar abundances from confirmed member stars. We perform an extensive comparison with previous results in the literature, and in particular with the Gaia FGK Benchmark stars Arcturus and $\mu$-Leo. We investigate the dependence of [X/Fe] with metallicity, Galactocentric radius (6.5 kpc &lt; RGC &lt; 11 kpc), age (0.3 Gyr &lt; Age &lt; 10 Gyr), and height above the plane (|z| &lt; 1000 pc). We discuss the observational results in the chemo-dynamical framework, and the radial migration impact when comparing with chemical evolution models. We also use APOGEE DR14 data to investigate the differences between the abundance trends in RGC and |z| obtained for clusters and for field stars.
A deep learning model to emulate simulations of cosmic reionization
Authors: Chardin Jonathan , Uhlrich Grégoire , Aubert Dominique , Deparis Nicolas , Gillet Nicolas , Ocvirk Pierre , Lewis Joseph 
Published: September 2019

ABSTRACT
We present a deep learning model trained to emulate the radiative transfer during the epoch of cosmological reionization. CRADLE (Cosmological Reionization And Deep LEarning) is an auto-encoder convolutional neural network that uses 2D maps of the star number density and the gas density field at z = 6 as inputs and that predicts 3D maps of the times of reionization treion as outputs. These predicted single fields are sufficient to describe the global reionization history of the intergalactic medium in a given simulation. We trained the model on a given simulation and tested the predictions on another simulation with the same parameters but with different initial conditions. The model is successful at predicting treion maps that are in good agreement with the test simulation. We used the power spectrum of the treion field as an indicator to validate our model. We show that the network predicts large scales almost perfectly but is somewhat less accurate at smaller scales. While the current model is already well suited to get average estimates about the reionization history, we expect it can be further improved with larger samples for the training, better data pre-processing and finer tuning of hyper-parameters. Emulators of this kind could be systematically used to rapidly obtain the evolving H ii regions associated with hydro-only simulations and could be seen as precursors of fully emulated physics solvers for future generations of simulations.
On the Interactive Effects of Objective and Subjective Age on Work Outcomes for Men and Women
Authors: Marcus Justin , Fritzsche Barbara A , Ng Yin Lu 
Published: September 2019

Abstract
Based upon theory on successful aging at work and the social identity of age, we hypothesized interactive effects of sex, objective chronological age, and subjective psychological/organizational age on age-based stereotype ratings of older workers, psychological well-being including both burnout and self-esteem, and behavioral self-reports of perceived unfair age and sex discrimination. Study hypotheses were tested using a survey-based sample of N = 1,583 workers from 3 countries, including Turkey, the United States, and Malaysia, and who were employed across a variety of occupations. Potential confounds resultant of socioeconomic status (education level), and the macro environment (country) were statistically controlled. Results generally found support for theoretically expected relations between age and work outcomes. Both psychological and organizational age interacted with chronological age such that different patterns of outcomes were found for men and women. Overall, although older subjective age benefited chronologically older workers, these interactive associations were less beneficial for older women as compared to older men. Implications of study findings for theory and practice are discussed.
Dependency in multisensory integration: a copula-based analysis
Authors: Colonius Hans , Diederich Adele 
Published: September 2019

The notion of copula has attracted attention from the field of contextuality and probability. A copula is a function that joins a multivariate distribution to its one-dimensional marginal distributions. Thereby, it allows characterizing the multivariate dependency separately from the specific choice of margins. Here, we demonstrate the use of copulas by investigating the structure of dependency between processing stages in a stochastic model of multisensory integration, which describes the effect of stimulation by several sensory modalities on human reaction times. We derive explicit terms for the covariance and Kendall's tau between the processing stages and point out the specific role played by two stochastic order relations, the usual stochastic order and the likelihood ratio order, in determining the sign of dependency.This article is part of the theme issue ‘Contextuality and probability in quantum mechanics and beyond’.
Spooky predictions at a distance: reality, complementarity and contextuality in quantum theory
Authors: Plotnitsky Arkady 
Published: September 2019

This article brings together reality, complementarity and contextuality in quantum theory. It clarifies Bohr's concept of complementarity by considering the non-realist epistemology and the corresponding interpretations of quantum mechanics, based in the concept of ‘reality without realism’. Finally, as its main novel contribution, it establishes the connections between complementarity and contextuality.
This article is part of the theme issue ‘Contextuality and probability in quantum mechanics and beyond’.
Assessing the impact of data aggregation in model predictions of HAT transmission and control activities
Authors: Castaño M. Soledad , Ndeffo-Mbah Martial L. , Rock Kat S. , Palmer Cody , Knock Edward , Miaka Erick Mwamba , Ndung’u Joseph M. , Torr Steve , Verlé Paul , Spencer Simon E.F. , Galvani Alison , Bever Caitlin , Keeling Matt J. , Chitnis Nakul 
Published: September 2019

AbstractSince the turn of the century, the global community has made great progress towards the elimination of gambiense human African trypanosomiasis (HAT). Elimination programs, primarily relying on screening and treatment campaigns, have also created a rich database of HAT epidemiology. Mathematical models calibrated with these data can help to fill remaining gaps in our understanding of HAT transmission dynamics, including key operational research questions such as whether integrating vector control with current intervention strategies is needed to achieve HAT elimination. Here we explore, via an ensemble of models and simulation studies, which aspects of the available data and level of data aggregation, such as separation by disease stage, would be most useful for better understanding transmission dynamics and improving model reliability in making future predictions of control and elimination strategies.Author summaryHuman African tryposonomiasis (HAT), also known as sleeping sickness, is a parasitic disease with over 65 million people estimated to be living at risk of infection. Sleeping sickness consists of two stages: the first one is relatively mild but the second stage is usually fatal if untreated. The World Health Organization has targeted HAT for elimination as a public health problem by 2020 and for elimination of transmission by 2030. Regular monitoring updates indicate that 2020 elimination goals are likely to be achieved. This monitoring relies mainly on case report data that is collected through medical-based control activities — the main strategy employed so far in HAT control. This epidemiological data are also used to calibrate mathematical models that can be used to analyse current interventions and provide projections of potential intensified strategies.We investigated the role of the type and level of aggregation of this HAT case data on model calibrations and projections. We highlight that the lack of detailed epidemiological information, such as missing stage of disease or truncated time series data, impacts model recommendations for strategy choice: it can misrepresent the underlying HAT epidemiology (for example, the ratio of stage 1 to stage 2 cases) and increase uncertainty in predictions. Consistently including new data from control activities as well as enriching it through cross-sectional (e.g. demographic or behavioural data) and geo-located data is likely to improve modelling accuracy to support planning, monitoring and adapting HAT interventions.