Miracle-dz/UniFAR-FTUs huggingface dataset:
Outcomes of invasive ductal (ID) or invasive lobular (IL) early stage breast cancer in women treated with anastrozole or exemestane in the Canadian cancer trials Group MA.27.

521Background: Previous data suggest histologic subtype, invasive ductal (ID) versus (vs) invasive lobular (IL), might be a marker for response to hormone therapy in receptor positive (HR+) breast cancer [Metzger O, et al: Cancer Res 2012, 72:S1-1]. Methods: MA.27 compared five years of adjuvant anastrozole (A) or exemestane (E) in patients with HR+ early breast cancer. We evaluated ID versus IL histology (based on original pathology reports) as a prognostic marker for outcomes. Results: We were able to include 5,709 patients (5,021 with ID and 688 with IL histology, out of 7,576 patients in MA.27) who had a median follow-up of 4.1 years. Histologic subtype did not influence overall survival (OS) or event-free survival (EFS) in the overall study cohort (HR 1.04, P = 0.81 and HR 1.14, P = 0.49, respectively). In univariable analysis of OS, there was no significant difference between treatment with E vs A in the ID group (HR = 0.92, P = 0.46). In the IL group, a marginally significant difference in favor of.
Canine Model

The effect of long-term oral administration of antiarrhythmic drugs on defibrillation energy requirements is not well understood. We examined the effect of clofilium, a drug that prolongs cardiac action potential duration without slowing cardiac conduction, on defibrillation energy requirements and ventricular effective refractory periods in a canine model during a 3-week period. Epicardial patch electrodes were implanted in 12 dogs, and baseline testing was conducted under fentanyl anesthesia on day 7. An oral clofilium (100 mg/day) regimen was started on day 8. Six clofilium-treated and six control dogs underwent repeated testing on days 14, 21, and 28 after surgery. Truncated trapezoidal shocks were given repeatedly at various stored energies in random order; delivered current and impedance were measured; and delivered energy was calculated. The energy and current for 50% success in defibrillation (E_,o and 150, respectively) were determined. For control animals, ESo increased by a mean 34+78%, 60±83%, and 69±122% compared with baseline (day 7) on days 14, 21, and 28, respectively. In contrast, Eso in clofilium-treated dogs decreased by 39±62%, 24 ±33%, and 32±15% on days 14, 21, and 28, respectively. Mean current requirements (I1o) remained relatively stable compared with baseline in control animals (-7±39%o, +25±36%, +40±75% on days 14, 21, and 28, respectively). After clofilium administration 150 decreased by 36±22%, 32±17%, and 33±17%
Prevalence and Determinants of Water Pipe Tobacco and Polytobacco Use Among 18- to 24-Year-Old Emerging Adults in the United States

Water pipe (i.e., hookah) tobacco smoking (WTS) had the highest prevalence among 18- to 24-year-olds in recent Centers for Disease Control and Prevention National Adult Tobacco Surveys (NATS). This study examines the national prevalence and determinants of current WTSs among emerging adults (EAs). Of the 3,577 EAs from the 2012 to 2013 NATS, 18.3% were current water pipe smokers; among the 4,439 EAs from the 2013 to 2014 NATS, the percentage increased to 20.1%. Multivariable analyses demonstrate that current users of cigarettes, cigar/cigarillos, pipes, and/or e-cigarettes were more likely to be current WTSs, while 22- to 24-year-old EAs and African Americans were less likely to smoke water pipe across both surveys. Different interventions and anti-marketing campaigns are needed for different tobacco products within subpopulations in the 18- to 24-year-old EA population. Strategies aimed at college students may not be as effective for noncollege EAs for stemming WTS. More representative research is needed on EAs during this pivotal period of self-exploration and self-development.
New Classification Criteria for Primary Sjögren's Syndrome and Salivary Gland Ultrasonography

Primary Sjogren’s syndrome (pSS) is a chronic autoimmune inflammatory disorder characterized by lymphocytic infiltration of exocrine organs. Since 1965, several sets of classification criteria for pSS have been proposed by single experts or groups of multidisciplinary specialists. In 2002, the American-European Consensus Group proposed new classification criteria, which have been widely used in both clinical trials and routine clinical practice. In 2012, updated classification criteria were approved by the American College of Rheumatology (ACR). The existence of two different sets of criteria emphasized the need for an international consensus. Using methods consistent with those employed to develop recent ACR/European League Against Rheumatism (EULAR)-approved criteria, new ACR/EULAR classification criteria for pSS were developed and endorsed in 2016. Salivary gland ultrasonography (SGUS) is a new imaging tool used to detect salivary gland abnormalities in pSS patients. Several reports on the utility of SGUS for pSS diagnosis have appeared. This review focuses on the new 2016 ACR/EULAR classification criteria for pSS and the clinical application of SGUS in patients with pSS. (Korean J Med 2017;92:499-505)
Determinants of the Prognosis After a First Myocardial Infarction in a Migrant Japanese Population The Honolulu Heart Program

BackgroundAlthough numerous studies have been published on the prognostic assessment of myocardial infarction, little is known about determinants of the prognosis after a first myocardial infarction, especially regarding the role of standard risk factors for coronary heart disease (CHD) measured before the development of myocardial infarction. Methods and ResultsIn a prospective study of CHD among men of Japanese ancestry living in Hawaii, 457 patients with a first myocardial infarction (age range, 46 to 84 years) were identified during 20 years of follow-up. The relations of clinical variables and CHD risk factors to mortality in early (<30 days) and two stages of late (30 days to 5 years and 5 to 10 years) periods after myocardial infarction in these patients were investigated. In multivariate analyses using logistic regression models (for early mortality) and Cox regression models (for late mortality), age at myocardial infarction and severe complications (Killip classes 3 and 4) were independent predictors of both early and late mortality (up to 5 years after myocardial infarction). In addition, ventricular arrhythmias predicted only early mortality, whereas anterior myocardial infarction, radiological evidence of cardiomegaly and/or pulmonary congestion, and intraventricular block predicted only late mortality (up to 5 years after myocardial infarction). Only age was an independent predictor of all-cause mortality more than 5 years after myocardial infarction. After adjusting for age at myocardial infarction and these clinical variables, preinfarction-measured risk factors such as 1-hour postload serum glucose (positively) and 1-second forced expiratory volume (inversely) were significantly associated with late mortality up to 5 years, whereas systolic blood pressure was the only independent predictor of late mortality after 5 years. ConclusionsThis study has confirmed the importance of age at myocardial infarction and clinical indicators of complications such as Killip class 3 or 4, radiological evidence of pulmonary congestion, and ventricular arrhythmias or intraventricular block as the prognostic determinants of myocardial infarction. In addition, some of the preinfarction-measured standard risk factors for CHD were found to predict long-term prognosis independent of age and clinical factors.
Readmission After Percutaneous Coronary Intervention

Abstract—Hospital readmissions are common and costly and, in some cases, may be related to problems with care processes. We sought to reduce readmissions after percutaneous coronary intervention (PCI) in a large tertiary care facility through programs to target vulnerabilities predischarge, after discharge, and during re-presentation to the emergency department. During initial hospitalization, we assessed patients’ readmission risk with a validated risk score and used a discharge checklist to ensure access to appropriate medications and close follow-up for high-risk patients. We also developed patient education videos about chest discomfort and heart failure. After discharge, we established a new follow-up clinic with cardiology fellows. A computerized system was developed to automatically notify cardiologists when patients presented to the emergency department within 30 days of PCI to enhance patient access to cardiology care in the emergency department. Early cardiologist assessment and assistance with triage was encouraged, and the emergency department used a risk stratification algorithm derived from a local database of patients to triage patients presenting with chest discomfort after PCI. We tracked the number of patients readmitted after PCI to our hospital. With our interventions, from 2011 to 2015, the index hospital readmission rate has declined from 9.6% to 5.3%. This program could provide tangible structural changes that can be implemented in other healthcare centers, both reducing the cost of care and improving the quality of care for patients with PCI. (Circ Cardiovasc Qual Outcomes. 2016;9:600-604. DOI: 10.1161/CIRCOUTCOMES.116.003086.)
lization practice; two thirds of ICUs with early mobilization practice reported using a written early mobilization protocol. In ICUs with early mobilization practice, 52% began the intervention at admission and 74% enacted early mobilization for both ventilated and nonventilated

Copyright © 2015 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved. 2360 www.ccmjournal. org November 2015 • Volume 43 • Number 11 lectured for Hill-Rom, and consulted for Hill-Rom (consulting fees for discussions regarding grant proposal) and for Arjo Huntleigh. His institution received grant support from Hill-Rom. Hill-Rom provided funding for the survey but did not participate in data analysis, interpretation, or writing of the article. For information regarding this article, E-mail: rbakhru@wakehealth.edu
Low Back Pain of Faculty of Sport and Physical Education Students in Relation to Different Activities

Background: Physical inactivity and intensive sports activity have been found to be associated with LBP. The aim of this study is the presents the data about the prevalence of LBP in young adults and its associations with vitality, physical activity and emotions. We also studied the impact of low back pain on daily activity. The study sample presented (n=323) students from the Former Yugoslav Republic of Macedonia and Bosnia and Herzegovina in the chronological age of 21.06 ± 1.93 years. The current study assessed the level of LBP amongst students of Faculty of Sport with the level of physical activity in last six months. Methods: We used the questionnaire, which included the Graded Chronic Pain Scale (GCPS) for the evaluation of levels of chronic pain. With a Short Health Survey (SF-36) we tried to measure the health status. Results: A total of (n=323) of all students had pain intensity at some point in last six months. All students reported (n=236, 73.0%) prevalence of LBP. In this study body mass index, level of physical activity were not significant independent predictors of intensity and disability scores. Conclusion: 3/4 of all respondents said to have had any episode LBP. The results of our study can be used by officials in the area of prevention to support efforts to improve health of the student population and to reduce the LBP risk.
DNN-based Localization from Channel Estimates: Feature Design and Experimental Results

We consider the use of deep neural networks (DNNs) in the context of channel state information (CSI)-based localization for Massive MIMO cellular systems. We discuss the practical impairments that are likely to be present in practical CSI estimates, and introduce a principled approach to feature design for CSI-based DNN applications based on the objective of making the features invariant to the considered impairments. We demonstrate the efficiency of this approach by applying it to a dataset constituted of geo-tagged CSI measured in an outdoors campus environment, and training a DNN to estimate the position of the UE on the basis of the CSI. We provide an experimental evaluation of several aspects of that learning approach, including localization accuracy, generalization capability, and data aging.
Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study

We present novel methods for assessing the quality of human-translated aligned texts for learning machine translation models of under-resourced languages. Malian university students translated French texts, producing either written or oral translations to Bambara. Our results suggest that similar quality can be obtained from either written or spoken translations for certain kinds of texts. They also suggest specific instructions that human translators should be given in order to improve the quality of their work.
Development and Validation of Pictographic Scales for Rapid Assessment of Affective States in Virtual Reality

This paper describes the development and validation of a continuous pictographic scale for self-reported assessment of affective states in virtual environments. The developed tool, called Morph A Mood (MAM), consists of a 3D character whose facial expression can be adjusted with simple controller gestures according to the perceived affective state to capture valence and arousal scores. It was tested against the questionnaires Pick-A-Mood (PAM) and Self-Assessment Manikin (SAM) in an experiment in which the participants (N = 32) watched several one-minute excerpts from music videos of the DEAP database within a virtual environment and assessed their mood after each clip. The experiment showed a high correlation with regard to valence, but only a moderate one with regard to arousal. No statistically significant differences were found between the SAM ratings of this experiment and MAM, but between the valence values of MAM and the DEAP database and between the arousal values of MAM and PAM. In terms of user experience, MAM and PAM hardly differ. Furthermore, the experiment showed that assessments inside virtual environments are significantly faster than with paper-pencil methods, where media devices such as headphones and display goggles must be put on and taken off.
Chemical equilibrium in AGB atmospheres: Successes, failures, and prospects for small molecules, clusters, and condensates.

Chemical equilibrium has proven extremely useful for predicting the chemical composition of AGB atmospheres. Here we use a recently developed code and an updated thermochemical database that includes gaseous and condensed species involving 34 elements to compute the chemical equilibrium composition of AGB atmospheres of M-, S-, and C-type stars. We include for the first time Ti x C y clusters, with x = 1-4 and y = 1-4, and selected larger clusters ranging up to Ti13C22, for which thermochemical data are obtained from quantum-chemical calculations. Our main aims are to systematically survey the main reservoirs of each element in AGB atmospheres, review the successes and failures of chemical equilibrium by comparing it with the latest observational data, identify potentially detectable molecules that have not yet been observed, and diagnose the most likely gas-phase precursors of dust and determine which clusters might act as building blocks of dust grains. We find that in general, chemical equilibrium reproduces the observed abundances of parent molecules in circumstellar envelopes of AGB stars well. There are, however, severe discrepancies of several orders of magnitude for some parent molecules that are observed to be anomalously overabundant with respect to the predictions of chemical equilibrium. These are HCN, CS, NH3, and SO2 in M-type stars, H2O and NH3 in S-type stars, and the hydrides H2O, NH3, SiH4, and PH3 in C-type stars. Several molecules have not yet been observed in AGB atmospheres but are predicted with non-negligible abundances and are good candidates for detection with observatories such as ALMA. The most interesting ones are SiC5, SiNH, SiCl, PS, HBO, and the metal-containing molecules MgS, CaS, CaOH, CaCl, CaF, ScO, ZrO, VO, FeS, CoH, and NiS. In agreement with previous studies, the first condensates predicted to appear in C-rich atmospheres are found to be carbon, TiC, and SiC, while Al2O3 is the first major condensate expected in O-rich outflows. According to our chemical equilibrium calculations, the gas-phase precursors of carbon dust are probably acetylene, atomic carbon, and/or C3, while for silicon carbide dust, the most likely precursors are the molecules SiC2 and Si2C. In the case of titanium carbide dust, atomic Ti is the major reservoir of this element in the inner regions of AGB atmospheres, and therefore it is probably the main supplier of titanium during the formation of TiC dust. However, chemical equilibrium predicts that large titanium-carbon clusters such as Ti8C12 and Ti13C22 become the major reservoirs of titanium at the expense of atomic Ti in the region where condensation of TiC is expected to occur. This suggests that the assembly of large Ti x C y clusters might be related to the formation of the first condensation nuclei of TiC. In the case of Al2O3 dust, chemical equilibrium indicates that atomic Al and the carriers of Al-O bonds AlOH, AlO, and Al2O are the most likely gas-phase precursors.
Efficient Implementation of Multi-Channel Convolution in Monolithic 3D ReRAM Crossbar

Convolutional neural networks (CNNs) demonstrate promising accuracy in a wide range of applications. Among all layers in CNNs, convolution layers are the most computation-intensive and consume the most energy. As the maturity of device and fabrication technology, 3D resistive random access memory (ReRAM) receives substantial attention for accelerating large vector-matrix multiplication and convolution due to its high parallelism and energy efficiency benefits. However, implementing multi-channel convolution naively in 3D ReRAM will either produce incorrect results or exploit only partial parallelism of 3D ReRAM. In this paper, we propose a 3D ReRAM-based convolution accelerator architecture, which efficiently maps multi-channel convolution to monolithic 3D ReRAM. Our design has two key principles. First, we exploit the intertwined structure of 3D ReRAM to implement multi-channel convolution by using a state-of-the-art convolution algorithm. Second, we propose a new approach to efficiently implement negative weights by separating them from non-negative weights using configurable interconnects. Our evaluation demonstrates that our mapping scheme in 16-layer 3D ReRAM achieves a speedup of 5.79X, 927.81X, and 36.8X compared with a custom 2D ReRAM baseline and state-of-the-art CPU and GPU. Our design also reduces energy consumption by 2.12X, 1802.64X, and 114.1X compared with the same baseline.
Dislocations in a layered elastic medium with applications to fault detection

We consider a model for elastic dislocations in geophysics. We model a portion of the Earth's crust as a bounded, inhomogeneous elastic body with a buried fault surface, along which slip occurs. We prove well-posedness of the resulting mixed-boundary-value-transmission problem, assuming only bounded elastic moduli. We establish uniqueness in the inverse problem of determining the fault surface and the slip from a unique measurement of the displacement on an open patch at the surface, assuming in addition that the Earth's crust is an isotropic, layered medium with Lame coefficients piecewise Lipschitz on a known partition and that the fault surface is a graph with respect to an arbitrary coordinate system. These results substantially extend those of the authors in {Arch. Ration. Mech. Anal. } {\bf 263} (2020), n. 1, 71--111.
Efficiency increase in multijunction monochromatic photovoltaic devices due to luminescent coupling

We present a multijunction detailed balance model that includes the effects of luminescent coupling, light trapping and nonradiative recombination, suitable for treatment of multijunction solar cells and photonic power converters -- photovoltaic devices designed to convert narrow-band light. The model includes both specular and Lambertian reflections using a ray-optic formalism and treats nonradiative processes using an internal radiative efficiency. Using this model, we calculate and optimize the efficiency of multijunction photonic power converters for a range of material qualities and light-trapping schemes. Multijunction devices allow increased voltage with lower current, decreasing series resistance losses. We show that efficiency increases significantly with increased number of junctions, even without series resistance, when the device has an absorbing substrate. Such an increase does not occur when the device has a back reflector. We explain this effect using a simplified model, which illustrates the origin of the decreased radiative losses in multijunction devices on substrates.
Update on coupled dark energy and the 
H0
 tension

In this work we provide updated constraints on coupled dark energy (CDE) cosmology with Peebles-Ratra (PR) potential and constant coupling strength $\beta$. This modified gravity scenario introduces a fifth force between dark matter particles, mediated by a scalar field that plays the role of dark energy. The mass of the dark matter particles does not remain constant, but changes with time as a function of the scalar field. Here we focus on the phenomenological behavior of the model, and assess its ability to describe updated cosmological data sets that include the Planck 2018 cosmic microwave background (CMB) temperature, polarization and lensing, baryon acoustic oscillations, the Pantheon compilation of supernovae of Type Ia, data on $H(z)$ from cosmic chronometers, and redshift-space distortions. We also study which is the impact of the local measurement of $H_0$ from SH0ES and the strong-lensing time delay data from the H0LICOW collaboration on the parameter that controls the strength of the interaction in the dark sector. We find a peak corresponding to a coupling $\beta > 0$ and to a potential parameter $\alpha > 0$, more or less evident depending on the data set combination. We show separately the impact of each data set and remark that it is especially CMB lensing the one data set that shifts the peak the most towards $\Lambda$CDM. When a model selection criterion based on the full Bayesian evidence is applied, however, $\Lambda$CDM is still preferred in all cases, due to the additional parameters introduced in the CDE model.