bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermoelastohydrodynamic Lubrication Simulation of Radial Shaft Sealing Rings
Authors: Thielen Stefan , Magyar Balázs , Sauer Bernd 
Published: December 2019

Abstract
Regarding the increasing demand in seal lifetime and energy efficiency, a detailed microscopic simulation is necessary—as an addition to experimental investigations—to better understand and improve radial shaft seals. For this purpose, typically thermoelastohydrodynamic lubrication (TEHL) simulations are used. The published models range from rather simple elastohydrodynamic lubrication (EHL) models to very sophisticated TEHL models. Only very few models take into account the roughness or microstructure of both contact surfaces, though, since this would require the consideration of transient effects. In this article, a transient TEHL model for the contact of radial shaft seals is presented. Studies of the sealing contact are conducted, and the possibility of investigating shaft microstructuring is shown.
Providing Grid Services With Heat Pumps: A Review
Authors: Lee Zachary E. , Sun Qingxuan , Ma Zhao , Wang Jiangfeng , MacDonald Jason S. , Max Zhang K. 
Published: December 2019

Abstract
The integration of variable and intermittent renewable energy generation into the power system is a grand challenge to our efforts to achieve a sustainable future. Flexible demand is one solution to this challenge, where the demand can be controlled to follow energy supply, rather than the conventional way of controlling energy supply to follow demand. Recent research has shown that electric building climate control systems like heat pumps can provide this demand flexibility by effectively storing energy as heat in the thermal mass of the building. While some forms of heat pump demand flexibility have been implemented in the form of peak pricing and utility demand response programs, controlling heat pumps to provide ancillary services like frequency regulation, load following, and reserve have yet to be widely implemented. In this paper, we review the recent advances and remaining challenges in controlling heat pumps to provide these grid services. This analysis includes heat pump and building modeling, control methods both for isolated heat pumps and heat pumps in aggregate, and the potential implications that this concept has on the power system.
The Influence of Structure on the Electrochemical and Thermal Response of Li-Ion Battery Electrodes
Authors: Patel Prehit , Nelson George J. 
Published: December 2019

Abstract
Advancement of lithium-ion batteries for transportation applications requires addressing two key challenges: increasing energy density and providing fast charging capabilities. The first of these challenges can be met using thicker electrodes. However, the implementation of thick electrodes inherently presents a trade-off with respect to fast charging. As the thickness is increased, transport limitations reduce the ability of the battery to meet aggressive charge conditions. At the particle scale, interactions between solid diffusion and reaction kinetics influence the effective storage of lithium. At the electrode scale, diffusion limitations can lead to local variations in salt concentrations and electric potential. These short-range and long-range effects can combine to influence local current and heat generation. In the present work, a pseudo-2D lithium-ion battery model is applied to understand how active material particle size, porosity, and electrode thickness impact local field variables, current, heat generation, and cell capacity within a single-cell stack. The model was built assuming that the active particles are representative spherical particles. The governing equations and boundary conditions were set following the common Newman model. Cell response under varied combinations of charge and discharge cycling is assessed for rates of 1 C and 5 C. Aggressive charge and discharge conditions lead to locally elevated C-rates and attendant increases in local heat generation. These variations can be impacted in part by tailoring electrode structures. To this end, results for parametric studies of active material particle size, porosity, and electrode thickness are presented and discussed.
Investigation of Horizontal Micro Kaplan Hydro Turbine Performance Using Multi-Disciplinary Design Optimization
Authors: Abbas Ahmad I. , Qandil Mohammad D. , Al-Haddad Muhannad , Amano Ryoichi S. 
Published: December 2019

AbstractThis study investigates performance-based design optimization for a Kaplan hydro turbine at a maximum water head of 2.6 m (8.5 ft), a micro-sized horizontal Kaplan turbine with 7.6 cm (3.0 in) diameter that has fixed blades featured to attain the optimum performance for such type and size of hydro turbines. The optimization process includes solving design problems and enhance design development by applying a multi-disciplinary design optimization (MDO) technique. Varying the geometrical parameters of the turbine, i.e., dimensions, number of blades, blade wrap angles, and different rotational speeds (500–3000 rpm), are the relevant proposed disciplines of this study. Two multi-simulation matrices were solved by using the high-performance computing (HPC) cluster of the University of Wisconsin-Milwaukee. The first matrix includes different number of the blades (3, 4, 5, 6, and 7 blades) over six different rotational speeds (500, 1000, 1500, 2000, 2500, and 3000 rpm), while the second matrix includes 121 possible combinations of blade wrap angles starting at 60–60 deg (hub-shroud) angle to 110–110 deg angle with 5 deg increment alternated at both sides, the hub and the shroud.
Community emergency medicine: taking the ED to the patient: a 12-month observational analysis of activity and impact of a physician response unit
Authors: Joy Tony , Ramage Lisa , Mitchinson Sophie , Kirby Oliver , Greenhalgh Rob , Goodsman Danë , Davies Gareth 
Published: December 2019

Background and objectivesInternational and national health policies advocate greater integration of emergency and community care. The Physician Response Unit (PRU) responds to 999 calls ‘taking the Emergency Department to the patient’. Operational since 2001, the service was reconfigured in September 2017. This article presents service activity data and implications for the local health economy from the first year since remodelling.MethodsA retrospective descriptive analysis of a prospectively maintained database was undertaken. Data collected included dispatch information, diagnostics and treatments undertaken, diagnosis and disposition. Treating clinical teams recorded judgments whether patients managed in the community would have been (1) conveyed to an emergency department (ED)and (2) admitted to hospital, in the absence of the PRU. Hospital Episode Statistics data and NHS referencing costs were used to estimate the monetary value of PRU activity.Results1924 patients were attended, averaging 5.3 per day. 1289 (67.0%) patients were managed in the community. Based on the opinion of the treating team, 945 (73.3%) would otherwise have been conveyed to hospital, and 126 (9.7%) would subsequently have been admitted. The service was estimated to deliver a reduction of 868 inpatient bed days and generate a net economic benefit of £530 107.ConclusionsThe PRU model provides community emergency medical care and early patient contact with a senior clinical decision-maker. It engages with community providers in order to manage 67.0% of patients in the community. We believe the PRU offers an effective model of community emergency medicine and helps to integrate local emergency and community providers.
Cu–TiO2 nanocomposite coatings prepared from sol-enhanced electrodeposition
Authors: He Zhen , Zhang Shengping , Yin Li , Hayat Muhammed D. , Cao Peng 
Published: December 2019

A series of [Formula: see text]-modified Cu coatings were developed via a sol-enhanced electrodeposition process. The effect of [Formula: see text] sol on the properties of fabricated [Formula: see text] nanocomposites is studied. Phase composition and microstructures of [Formula: see text] deposits were characterized using X-ray diffraction (XRD), atomic force microscopy (AFM) and transmission electron microscopy (TEM). Mechanical properties of the fabricated [Formula: see text] coatings were also examined. The proper addition of [Formula: see text] sol gives rise to refined coating surface with well-distributed [Formula: see text] nanoparticles, leading to significantly enhanced properties. The microhardness and wear resistance of the [Formula: see text] nanocomposite coating (12 mL/L [Formula: see text] sol) upsurges owing to the strengthening effect of highly dispersed [Formula: see text] nanoparticles. We also suggest that the excessive addition of [Formula: see text] sol should be avoided as it will result in an inferior coating quality with a loose structure for the prepared [Formula: see text] deposits.
IntaRNAhelix-composing RNA–RNA interactions from stable inter-molecular helices boosts bacterial sRNA target prediction
Authors: Gelhausen Rick , Will Sebastian , Hofacker Ivo L. , Backofen Rolf , Raden Martin 
Published: December 2019

Efficient computational tools for the identification of putative target RNAs regulated by prokaryotic sRNAs rely on thermodynamic models of RNA secondary structures. While they typically predict RNA–RNA interaction complexes accurately, they yield many highly-ranked false positives in target screens. One obvious source of this low specificity appears to be the disability of current secondary-structure-based models to reflect steric constraints, which nevertheless govern the kinetic formation of RNA–RNA interactions. For example, often — even thermodynamically favorable — extensions of short initial kissing hairpin interactions are kinetically prohibited, since this would require unwinding of intra-molecular helices as well as sterically impossible bending of the interaction helix. Another source is the consideration of instable and thus unlikely subinteractions that enable better scoring of longer interactions. In consequence, the efficient prediction methods that do not consider such effects show a high false positive rate.To increase the prediction accuracy we devise IntaRNAhelix, a dynamic programming algorithm that length-restricts the runs of consecutive inter-molecular base pairs (perfect canonical stackings), which we hypothesize to implicitly model the steric and kinetic effects. The novel method is implemented by extending the state-of-the-art tool IntaRNA.Our comprehensive bacterial sRNA target prediction benchmark demonstrates significant improvements of the prediction accuracy and enables more than 40-times faster computations. These results indicate — supporting our hypothesis — that stable helix composition increases the accuracy of interaction prediction models compared to the current state-of-the-art approach.
Visualization by example
Authors: Wang Chenglong , Feng Yu , Bodik Rastislav , Cheung Alvin , Dillig Isil 
Published: December 2019

While visualizations play a crucial role in gaining insights from data, generating useful visualizations from a complex dataset is far from an easy task. In particular, besides understanding the functionality provided by existing visualization libraries, generating the desired visualization also requires reshaping and aggregating the underlying data as well as composing different visual elements to achieve the intended visual narrative. This paper aims to simplify visualization tasks by automatically synthesizing the required program from simple visual sketches provided by the user. Specifically, given an input data set and a visual sketch that demonstrates how to visualize a very small subset of this data, our technique automatically generates a program that can be used to visualize the entire data set.
From a program synthesis perspective, automating visualization tasks poses several challenges that are not addressed by prior techniques. First, because many visualization tasks require data wrangling in addition to generating plots from a given table, we need to decompose the end-to-end synthesis task into two separate sub-problems. Second, because the intermediate specification that results from the decomposition is necessarily imprecise, this makes the data wrangling task particularly challenging in our context. In this paper, we address these problems by developing a new compositional visualization-by-example technique that (a) decomposes the end-to-end task into two different synthesis problems over different DSLs and (b) leverages bi-directional program analysis to deal with the complexity that arises from having an imprecise intermediate specification.
We have implemented our visualization-by-example approach in a tool called Viser and evaluate it on over 80 visualization tasks collected from on-line forums and tutorials. Viser can solve 84 of these benchmarks within a 600 second time limit, and, for those tasks that can be solved, the desired visualization is among the top-5 generated by Viser in 70% of the cases.
Downregulation of miR-223 Expression Is an Early Event during Mammary Transformation and Confers Resistance to CDK4/6 Inhibitors in Luminal Breast Cancer
Authors: Citron Francesca , Segatto Ilenia , Vinciguerra Gian Luca Rampioni , Musco Lorena , Russo Francesca , Mungo Giorgia , D'Andrea Sara , Mattevi Maria Chiara , Perin Tiziana , Schiappacassi Monica , Massarut Samuele , Marchini Cristina , Amici Augusto , Vecchione Andrea , Baldassarre Gustavo , Belletti Barbara 
Published: December 2019

Abstract

miR-223 is an anti-inflammatory miRNA that in cancer acts either as an oncosuppressor or oncopromoter, in a context-dependent manner. In breast cancer, we demonstrated that it dampens the activation of the EGF pathway. However, little is known on the role of miR-223 during breast cancer onset and progression. miR-223 expression was decreased in breast cancer of luminal and HER2 subtypes and inversely correlated with patients' prognosis. In normal luminal mammary epithelial cells, miR-223 acted cell autonomously in the control of their growth and morphology in three-dimensional context. In the MMTV-Δ16HER2 transgenic mouse model, oncogene transformation resulted in a timely abrogation of miR-223 expression, likely due to activation of E2F1, a known repressor of miR-223 transcription. Accordingly, treatment with CDK4/6 inhibitors, which eventually results in restraining E2F1 activity, restored miR-223 expression and miR-223 ablation induced luminal breast cancer resistance to CDK4/6 inhibition, both in vitro and in vivo. Notably, miR-223 expression was lost in microdissected ductal carcinoma in situ (DCIS) from patients with luminal and HER2-positive breast cancer. Altogether, these results identify downmodulation of miR-223 as an early step in luminal breast cancer onset and suggest that it could be used to identify aggressive DCIS and predict the response to targeted therapy.

Significance:
miR-223 may represent a predictive biomarker of response to CDK4/6 inhibitors and its loss could identify DCIS lesions that are likely to progress into invasive breast cancer.
Enhanced ENSO Prediction via Augmentation of Multimodel Ensembles with Initial Thermocline Perturbations
Authors: O’Kane Terence J. , Squire Dougal T. , Sandery Paul A. , Kitsios Vassili , Matear Richard J. , Moore Thomas S. , Risbey James S. , Watterson Ian G. 
Published: December 2019

AbstractRecent studies have shown that regardless of model configuration, skill in predicting El Niño–Southern Oscillation (ENSO), in terms of target month and forecast lead time, remains largely dependent on the temporal characteristics of the boreal spring predictability barrier. Continuing the 2019 study by O’Kane et al., we compare multiyear ensemble ENSO forecasts from the Climate Analysis Forecast Ensemble (CAFE) to ensemble forecasts from state-of-the-art dynamical coupled models in the North American Multimodel Ensemble (NMME) project. The CAFE initial perturbations are targeted such that they are specific to tropical Pacific thermocline variability. With respect to individual NMME forecasts and multimodel ensemble averages, the CAFE forecasts reveal improvements in skill when predicting ENSO at lead times greater than 6 months, in particular when predictability is most strongly limited by the boreal spring barrier. Initial forecast perturbations generated exclusively as disturbances in the equatorial Pacific thermocline are shown to improve the forecast skill at longer lead times in terms of anomaly correlation and the random walk sign test. Our results indicate that augmenting current initialization methods with initial perturbations targeting instabilities specific to the tropical Pacific thermocline may improve long-range ENSO prediction.
Multiyear Hybrid Prediction of Atlantic Tropical Cyclone Activity and the Predictability Sources
Authors: Chang Chuan-Chieh , Wang Zhuo 
Published: December 2019

AbstractA hybrid statistical–dynamical model is developed to predict multiyear variability of Atlantic tropical cyclone (TC) activity. A Poisson model takes sea surface temperature (SST) averaged over the Atlantic main development region (MDR) and the Atlantic subpolar gyre region (SPG) from the initialized CESM prediction as predictors, and skillfully predicts the basinwide TC frequency, accumulated cyclone energy (ACE), landfalling TC frequency, and hurricane and major hurricane days. Further analysis shows that the SPG SST is a more important source of predictability than the MDR SST for multiyear Atlantic TC activity. The comparison between the uninitialized and initialized CESM predictions suggests that the SPG SST is better predicted by the initialized CESM owing to the better prediction of Atlantic meridional overturning circulation, which contributes to the overall more skillful TC predictions. On the other hand, the skillful prediction of the basinwide TC frequency by the uninitialized CESM suggests the role of external forcing in the variability of Atlantic TC activity. The dependence of the hybrid prediction skills on the dynamic model ensemble size is also explored, and an ensemble size of ~20 is suggested as optimal. Further analysis shows that the SPG SST is associated with the variability of vertical wind shear and precipitable water over the tropical Atlantic even when the influence of the MDR SST is controlled. The spatial patterns of vertical wind shear and precipitable water suggest a strong modulation of ACE and hurricane frequency but a relatively weak influence on the basinwide TC frequency. The physical mechanisms between the SPG SST and Atlantic TC activity are discussed.
Seasonal and CO2-Induced Shifts of the ITCZ: Testing Energetic Controls in Idealized Simulations with Comprehensive Models
Authors: Biasutti Michela , Voigt Aiko 
Published: December 2019

AbstractThe Tropical Rain Belts with an Annual Cycle and Continent Model Intercomparison Project (TRACMIP) ensemble—a multimodel ensemble of slab-ocean simulations in idealized configurations—provides a test of the relationship between the zonal mean ITCZ and the cross-equatorial atmospheric energy transports (AHTeq). In a gross sense, the ITCZ position is linearly related to AHTeq, as expected from the energetic framework. Yet, in many aspects, the TRACMIP model simulations do not conform to the framework. Throughout the annual cycle there are large excursions in the ITCZ position unrelated to changes in the AHTeq and, conversely, substantial variations in the magnitude of the AHTeq while the ITCZ is stationary at its northernmost position. Variations both in the net vertical energy input at the ITCZ location and in the vertical profile of ascent play a role in setting the model behavior apart from the conceptual framework. Nevertheless, a linear fit to the ITCZ–AHTeq relationship captures a substantial fraction of the seasonal variations in these quantities as well as the intermodel or across-climate variations in their annual mean values. The slope of the ITCZ–AHTeq linear fit for annual mean changes across simulations with different forcings and configurations varies in magnitude and even sign from model to model and we identify variations in the vertical profile of ascent as a key factor. A simple sea surface temperature–based index avoids the complication of changes in the vertical structure of the atmospheric circulation and provides a more reliable diagnostic for the ITCZ position.
Development of a self-pumping extracorporeal blood oxygenation device characterized by a rotating shaft with embedded fiber packages
Authors: Rinaudo Antonino , Pasta Salvatore 
Published: December 2019

Introduction: To offer respiratory support for patients with lung disease, a novel technological solution for blood pumping and oxygenation is being developed. The pump–lung system was designed to integrate fiber membranes into six packages radially embedded in a rotating hollow shaft placed along the longitudinal axis of the device. Fiber packages are inclined with respect to the rotation axis so that the rotational motion of the rotating shaft allows a self-pumping system to be obtained. Method: Both hemodynamic and gas transfer performances were investigated using both in vitro experiments and in silico flow analyses. Results: The predicted flow velocity in the pump chamber was smooth and characterized by high peripheral velocities near the housing wall. As the blood flow enters the inlet, the static pressure increased with the angular momentum imparted to the fiber packages. Experiments confirmed that the proposed pump–lung system can provide adequate blood flow and oxygen transfer over the range of intended operating conditions (0.5–5 L/min and 500–1500 r/min). Conclusion: Although the study did not include animal testing, the novel pump-oxygenator solution is feasible for respiratory support in patients with lung diseases.
Arteriovenous graft in kidney transplant patients: Lookout for the rare but fearsome angiosarcoma
Authors: Figueiredo Ana Carolina , Leal Rita , Rodrigues Luís , Romãozinho Catarina , Escada Luís , Sá Helena , Figueiredo Arnaldo , Alves Rui 
Published: December 2019

Introduction: Angiosarcomas are rare tumors, comprising less than 1% of all sarcomas. However, they portend a poor prognosis, as they tend to metastasize early, being of uttermost importance a prompt diagnosis and treatment. Case description: We present the case of a 55-year-old female with history of kidney transplantation, immunosuppressed with tacrolimus, prednisolone, and mofetil mycophenolate. Fifteen years after the transplant, she developed an ulcerated lesion on the site of a nonfunctioning arteriovenous graft, which was excised. Histology was compatible with a high grade angiosarcoma that invaded the margins, and immunosuppression was switched to everolimus. Staging imaging exams revealed lymph node, muscle, and lung metastases. Shortly after, nodular lesions appeared compatible with local recurrence of the disease, and the patient showed severe deterioration of her clinical condition, being proposed for palliative chemotherapy. However, the disease showed an explosive progression and the patient died before starting the treatment. Conclusion: This case emphasizes the importance of including inspection of the vascular access (functioning or not) in regular post-transplant consultation and value any alterations in the attempt of a timely diagnosis. Although rare, angiosarcoma is an important entity that should be considered in the differential diagnosis of soft tissue masses arising from a vascular access, especially in immunocompromised patients. Aggressive treatment should be offered whenever possible.