Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of pathogenic BRCA1 mutation carriers in 5 US racial/ethnic groups.

CONTEXT Information on the prevalence of pathogenic BRCA1 mutation carriers in racial/ethnic minority populations is limited. OBJECTIVE To estimate BRCA1 carrier prevalence in Hispanic, African American, and Asian American female breast cancer patients compared with non-Hispanic white patients with and without Ashkenazi Jewish ancestry. DESIGN, SETTING, AND PARTICIPANTS We estimated race/ethnicity-specific prevalence of BRCA1 in a population-based, multiethnic series of female breast cancer patients younger than 65 years at diagnosis who were enrolled at the Northern California site of the Breast Cancer Family Registry during the period 1996-2005. Race/ethnicity and religious ancestry were based on self-report. Weighted estimates of prevalence and 95% confidence intervals (CIs) were based on Horvitz-Thompson estimating equations. MAIN OUTCOME MEASURE Estimates of BRCA1 prevalence. RESULTS Estimates of BRCA1 prevalence were 3.5% (95% CI, 2.1%-5.8%) in Hispanic patients (n = 393), 1.3% (95% CI, 0.6%-2.6%) in African American patients (n = 341), and 0.5% (95% CI, 0.1%-2.0%) in Asian American patients (n = 444), compared with 8.3% (95% CI, 3.1%-20.1%) in Ashkenazi Jewish patients (n = 41) and 2.2% (95% CI, 0.7%-6.9%) in other non-Hispanic white patients (n = 508). Prevalence was particularly high in young (<35 years) African American patients (5/30 patients [16.7%]; 95% CI, 7.1%-34.3%). 185delAG was the most common mutation in Hispanics, found in 5 of 21 carriers (24%). CONCLUSIONS Among African American, Asian American, and Hispanic patients in the Northern California Breast Cancer Family Registry, the prevalence of BRCA1 mutation carriers was highest in Hispanics and lowest in Asian Americans. The higher carrier prevalence in Hispanics may reflect the presence of unrecognized Jewish ancestry in this population.
Dolutegravir pharmacokinetics in pregnant and postpartum women living with HIV

Objective: To evaluate dolutegravir pharmacokinetics during pregnancy compared with postpartum and in infant washout samples after delivery. Design: Ongoing, nonrandomized, open-label, parallel-group, multicenter phase-IV prospective study of antiretroviral pharmacokinetics in HIV-infected pregnant women and infants. Methods: Intensive steady-state 24 h pharmacokinetic profiles after dolutegravir 50 mg once-daily were performed during the second trimester (2T), third trimester (3T) and postpartum. Maternal delivery and postnatal infant samples were collected after birth. Dolutegravir was measured by validated LC-MS/MS; quantitation limit was 0.005 &mgr;g/ml. A two-tailed Wilcoxon signed-rank test (&agr; = 0.10) was employed for paired within-subject comparisons. Results: Twenty-nine enrolled participants had a median age of 32 years (range 21–42). Pharmacokinetic data were available for 15 (2T), 28 (3T) and 23 (postpartum) women. Median dolutegravir AUC0–24,Cmax and C24 were 25–51% lower in the 2T and 3T compared with postpartum. The median cord blood/maternal plasma concentration ratio was 1.25 (n = 18). In 21 infants, median elimination half-life was 32.8 h after in utero exposure. Viral load at delivery was less than 50 copies/ml for 27/29 women (93%). Twenty-nine infants were HIV-negative. Renal abnormalities noted on ultrasound in two infants were deemed possibly related to dolutegravir. Conclusion: Dolutegravir exposure is lower in pregnancy compared with postpartum in the same women on once-daily dosing. Median AUC0–24 during pregnancy was similar to, whereas trough concentrations were lower than, those seen in nonpregnant adults. Trough concentrations in pregnancy were well above dolutegravir EC90 (0.064 &mgr;g/ml). Dolutegravir readily crosses the placenta. Infant elimination is prolonged, with half-life over twice that of historical adult controls.
Pseudotumor Cerebri (Idiopathic Intracranial Hypertension) an Update

1.1 History Historically, several terms have been used to depict pseudotumor cerebri (PTC). In the late 1890's, Quincke (1893, 1897) was the first to describe and name this syndrome "meningitis serosa" patients suffering from headache, impaired visual acuity and papilledema. He related the symptoms to a state of elevated intracranial pressure and presumed it was caused by increased secretion of CSF by the autonomic nervous system. In 1904, Nonne (1904) termed this syndrome "pseudotumor cerebri" as the symptoms resembled a suspected intracranial mass. Foley (1955) renamed the condition "benign intracranial hypertension". However, in the late 1980's, Corbett et al (1982) altered the name to idiopathic intracranial hypertension, since the syndrome was not benign as once thought. In some cases, up to 25% of patients may lose their vision if appropriate treatment measures are not taken. At present, idiopathic intracranial hypertension is the accepted designation.
Acute Simvastatin Inhibits KATP Channels of Porcine Coronary Artery Myocytes

Background Statins (3-hydroxy-3-methyl-glutaryl coenzyme A (HMG-CoA) reductase inhibitors) consumption provides beneficial effects on cardiovascular systems. However, effects of statins on vascular KATP channel gatings are unknown. Methods Pig left anterior descending coronary artery and human left internal mammary artery were isolated and endothelium-denuded for tension measurements and Western immunoblots. Enzymatically-dissociated/cultured arterial myocytes were used for patch-clamp electrophysiological studies and for [Ca2+]i, [ATP]i and [glucose]o uptake measurements. Results The cromakalim (10 nM to 10 µM)- and pinacidil (10 nM to 10 µM)-induced concentration-dependent relaxation of porcine coronary artery was inhibited by simvastatin (3 and 10 µM). Simvastatin (1, 3 and 10 µM) suppressed (in okadaic acid (10 nM)-sensitive manner) cromakalim (10 µM)- and pinacidil (10 µM)-mediated opening of whole-cell KATP channels of arterial myocytes. Simvastatin (10 µM) and AICAR (1 mM) elicited a time-dependent, compound C (1 µM)-sensitive [3H]-2-deoxy-glucose uptake and an increase in [ATP]i levels. A time (2–30 min)- and concentration (0.1–10 µM)-dependent increase by simvastatin of p-AMPKα-Thr172 and p-PP2A-Tyr307 expression was observed. The enhanced p-AMPKα-Thr172 expression was inhibited by compound C, ryanodine (100 µM) and KN93 (10 µM). Simvastatin-induced p-PP2A-Tyr307 expression was suppressed by okadaic acid, compound C, ryanodine, KN93, phloridzin (1 mM), ouabain (10 µM), and in [glucose]o-free or [Na+]o-free conditions. Conclusions Simvastatin causes ryanodine-sensitive Ca2+ release which is important for AMPKα-Thr172 phosphorylation via Ca2+/CaMK II. AMPKα-Thr172 phosphorylation causes [glucose]o uptake (and an [ATP]i increase), closure of KATP channels, and phosphorylation of AMPKα-Thr172 and PP2A-Tyr307 resulted. Phosphorylation of PP2A-Tyr307 occurs at a site downstream of AMPKα-Thr172 phosphorylation.
Learned D-AMP: Principled Neural Network based Compressive Image Recovery

Compressive image recovery is a challenging problem that requires fast and accurate algorithms. Recently, neural networks have been applied to this problem with promising results. By exploiting massively parallel GPU processing architectures and oodles of training data, they can run orders of magnitude faster than existing techniques. However, these methods are largely unprincipled black boxes that are difficult to train and often-times specific to a single measurement matrix. It was recently demonstrated that iterative sparse-signal-recovery algorithms can be ``unrolled’' to form interpretable deep networks. Taking inspiration from this work, we develop a novel neural network architecture that mimics the behavior of the denoising-based approximate message passing (D-AMP) algorithm. We call this new network {\em Learned} D-AMP (LDAMP). The LDAMP network is easy to train, can be applied to a variety of different measurement matrices, and comes with a state-evolution heuristic that accurately predicts its performance. Most importantly, it outperforms the state-of-the-art BM3D-AMP and NLR-CS algorithms in terms of both accuracy and run time. At high resolutions, and when used with sensing matrices that have fast implementations, LDAMP runs over $50\times$ faster than BM3D-AMP and hundreds of times faster than NLR-CS.
Identity as a Variable

As scholarly interest in the concept of identity continues to grow, social identities are proving to be crucially important for understanding contemporary life. Despite—or perhaps because of—the sprawl of different treatments of identity in the social sciences, the concept has remained too analytically loose to be as useful a tool as the literature's early promise had suggested. We propose to solve this longstanding problem by developing the analytical rigor and methodological imagination that will make identity a more useful variable for the social sciences. This article offers more precision by defining collective identity as a social category that varies along two dimensions—content and contestation. Content describes the meaning of a collective identity. The content of social identities may take the form of four non-mutually-exclusive types: constitutive norms; social purposes; relational comparisons with other social categories; and cognitive models. Contestation refers to the degree of agreement within a group over the content of the shared category. Our conceptualization thus enables collective identities to be compared according to the agreement and disagreement about their meanings by the members of the group. The final section of the article looks at the methodology of identity scholarship. Addressing the wide array of methodological options on identity—including discourse analysis, surveys, and content analysis, as well as promising newer methods like experiments, agent-based modeling, and cognitive mapping—we hope to provide the kind of brush clearing that will enable the field to move forward methodologically as well.Rawi Abdelal is Associate Professor, Harvard Business School (rabdelal@hbs.edu). Yoshiko M. Herrera is Associate Professor, Government Department, Harvard University (herrera@fas.harvard.edu). Alastair Iain Johnston is Professor, Government Department, Harvard University (johnston@fas.harvard.edu). Rose McDermott is Associate Professor, Political Science Department, University of California at Santa Barbara (rmcdermott@polsci.ucsb.edu). Research for the paper was made possible by the generous support of the Weatherhead Initiative of the Weatherhead Center for International Affairs at Harvard University. We are grateful to those who commented on earlier versions of this paper: Peter Burke, Lars-Erik Cederman, Jeff Checkel,Michael Dawson, James Fearon, David Frank, Erin Jenne, Michael Jones-Correa, Cynthia Kaplan, Peter Katzenstein, Herb Kelman, Paul Kowert, David Laitin, Daniel Posner, Paul Sniderman, Werner Sollors, Jeff Strabone, Philip Stone, Ronald Suny, Charles Tilly, Mary Waters, and three anonymous reviewers. We would also like to thank participants of the 2004 Identity as a Variable conference, including Henry Brady, Kanchan Chandra, Jack Citrin, Neta Crawford, Jennifer Hochschild, Jacques Hymans, Ted Hopf, Cynthia Kaplan, Ulrich Krotz, Taeku Lee, Will Lowe, Jason Lyall, Kimberly Neuendorf, Roger Petersen, Kevin Quinn, David Rousseau, Rogers Smith, Donald Sylvan, Kim Williams, and Michael Young, for comments on this version.
Nutritional Supplements for the Treatment of Attention-Deficit Hyperactivity Disorder

Polyunsaturated fatty acid supplementation has demonstrated evidence of efficacy in meta-analysis of randomized, placebo-controlled trials in ADHD. The benefits of polyunsaturated fatty acid appear small compared to the effect sizes observed for traditional pharmacological treatments of ADHD. Some evidence suggests that polyunsaturated fatty acid formulations with higher eicosapentaenoic acid may be more effective in improving ADHD symptoms. Melatonin appears to be effective in treating chronic insomnia in children with ADHD but appears to have minimal effects in reducing core ADHD symptoms. Iron and zinc supplementation may have benefit in reducing ADHD symptoms in children with or at high risk of deficiency. Data demonstrating efficacy of iron, zinc or magnesium in non-nutrient deficient ADHD populations is lacking. Many other natural supplements are widely utilized in the United States despite minimal evidence of efficacy and possible side-effects.
Yin and yang of interleukin-17 in host immunity to infection

The interleukin-17 (IL-17) family cytokines, such as IL-17A and IL-17F, play important protective roles in host immune response to a variety of infections such as bacterial, fungal, parasitic, and viral. The IL-17R signaling and downstream pathways mediate induction of proinflammatory molecules which participate in control of these pathogens. However, the production of IL-17 can also mediate pathology and inflammation associated with infections. In this review, we will discuss the yin-and-yang roles of IL-17 in host immunity to pathogens.
A Note on Testing Mediated Effects in Structural Equation Models

Methods to assess the significance of mediated effects in education and the social sciences are well studied and fall into two categories: single sample methods and computer-intensive methods. A popular single sample method to detect the significance of the mediated effect is the test of joint significance, and a popular computer-intensive method to detect the significance of the mediated effect is the bias-corrected bootstrap method. Both these methods are used for testing the significance of mediated effects in structural equation models (SEMs). A recent study by Leth-Steensen and Gallitto 2016 provided evidence that the test of joint significance was more powerful than the bias-corrected bootstrap method for detecting mediated effects in SEMs, which is inconsistent with previous research on the topic. The goal of this article was to investigate this surprising result and describe two issues related to testing the significance of mediated effects in SEMs which explain the inconsistent results regarding the power of the test of joint significance and the bias-corrected bootstrap found by Leth-Steensen and Gallitto 2016. The first issue was that the bias-corrected bootstrap method was conducted incorrectly. The bias-corrected bootstrap was used to estimate the standard error of the mediated effect as opposed to creating confidence intervals. The second issue was that the correlation between the path coefficients of the mediated effect was ignored as an important aspect of testing the significance of the mediated effect in SEMs. The results of the replication study confirmed prior research on testing the significance of mediated effects. That is, the bias-corrected bootstrap method was more powerful than the test of joint significance, and the bias-corrected bootstrap method had elevated Type 1 error rates in some cases. Additional methods for testing the significance of mediated effects in SEMs were considered and limitations and future directions were discussed.
How to Commit (If You Must): Commitment Contracts and the Dual-Self Model

This paper studies how dual-self (Fudenberg and Levine, 2006) decision-makers can use commitment technologies to combat temptation and implement long-run optimal actions. I consider three types of commitment technologies: carrot contracts (rewards for ‘good’ behavior financed by borrowing from future consumption), stick contracts (self imposed fines for ‘bad’ behavior) and binding commitment. I compare the welfare implications of these contracts and show that dual-self decision-makers strictly prefer to use carrots instead of either sticks or binding commitments. This is for several reasons: sticks are highly vulnerable to trembles (while carrots are not), sticks and binding commitments create a temptation to cancel them (while carrots do not), and finally carrots allow easy tradeoffs between commitment and flexibility (while sticks and binding commitments do not).
The development of slugs and puffs 427 turbulent lifetimes start to increase rapidly for Re

Laminar-to-turbulent transition of pipe flows occurs, for sufficiently high Reynolds numbers, in the form of slugs. These are initiated by disturbances in the entrance region of a pipe flow, and grow in length in the axial direction as they move downstream. Sequences of slugs merge at some distance from the pipe inlet to finally form the state of fully developed turbulent pipe flow. This formation process is generally known, but the randomness in time of naturally occurring slug formation does not permit detailed study of slug flows. For this reason, a special test facility was developed and built for detailed investigation of deterministically generated slugs in pipe flows. It is also employed to generate the puff flows at lower Reynolds numbers. The results reveal a high degree of reproducibility with which the triggering device is able to produce puffs. With increasing Reynolds number, ‘puff splitting’ is observed and the split puffs develop into slugs. Thereafter, the laminar-to-turbulent transition occurs in the same way as found for slug flows. The ring-type obstacle height, h, required to trigger fully developed laminar flows to form first slugs or puffs is determined to show its dependence on the Reynolds number, Re = DU/ν (where D is the pipe diameter, U is the mean velocity in the axial direction and ν is the kinematic viscosity of the fluid). When correctly normalized, h turns out to be independent of Reτ (where h + = hUτ/ν, Reτ = DUτ/ν and Uτ = √ τw/ρ; τw is the wall shear stress and ρ is the density of the fluid).
Area‐Specific Features of Pyramidal Neurons—a Comparative Study in Mouse and Rhesus Monkey

Abstract A principal challenge of systems neuroscience is to understand the unique characteristics of cortical neurons and circuits that enable area‐ and species‐specific sensory encoding, motor function, cognition, and behavior. To address this issue, we compared properties of layer 3 pyramidal neurons in 2 cortical areas that span a broad range of cortical function—primary sensory (V1), to cognitive (frontal)—in the mouse and the rhesus monkey. Hierarchical clustering and discriminant analyses of 15 physiological and 25 morphological variables revealed 2 fundamental principles. First, V1 and frontal neurons are remarkably similar with regard to nearly every property in the mouse, while the opposite is true in the monkey, with V1 and frontal neurons exhibiting significant differences in nearly every property assessed. Second, neurons within visual and frontal areas differ significantly between the mouse and the monkey. Neurons in mouse and monkey V1 are the same size, but differ in nearly every other way; mouse frontal cortical neurons are smaller than those in the monkey and also differ substantially with regard to most other properties. These findings have broad implications for understanding the differential contributions of heterogeneous neuronal types in construction of cortical microcircuitry in diverse brain areas and species.
Estimating exit rates for rare event dynamical systems by extrapolation

In this article we present an idea to speed up the sampling exit of rates from metastable molecular conformations. The idea is based on flattening the energy landscape by a global transformation which decreases the energy barrier. In this matter we create different energy surfaces in which we sample the exit rate and use these to extrapolate the exit rate for the original potential. Because of the lower energy barrier the sampling is computationally cheaper and also the variance of the estimators for the exit rate in the transformed energy landscape is smaller.
Path Planning for Active SLAM Based on the D* Algorithm With Negative Edge Weights

In this paper, the problem of path planning for active simultaneous localization and mapping (SLAM) is addressed. In order to improve its localization accuracy while autonomously exploring an unknown environment the robot needs to revisit positions seen before. To that end, we propose a path planning algorithm for active SLAM that continuously improves robot’s localization while moving smoothly, without stopping, toward a goal position. The algorithm is based on the D* shortest path graph search algorithm with negative edge weights for finding the shortest path taking into account localization uncertainty. The proposed path planning algorithm is suitable for exploration of highly dynamic environments with moving obstacles and dynamic changes in localization demands. While the algorithm operation is illustrated in simulation experiments, its effectiveness is verified experimentally in real-world scenarios.
Celiac Disease.

Celiac disease (or celiac sprue or idiopathic sprue as it was known) was first recognized as being gluten induced in the late 1940s by Dutch pediatricians. Since then, the field the small intestine with gluten. This provided proof positive the immune response within the mucosa of the small intestine to endoluminally applied gluten that produces the characteristic lesions of celiac disease. Looking forward, however, the lessons learned from these papers continue to inform and indeed challenge us as we move into an era of clinical trials for alternative treatments for celiac disease.
Equine-assisted therapy and its impact on cortisol levels of children and horses: a pilot study and meta-analysis

Childhood trauma, abuse or neglect impacts the function and structure of the brain of affected children. Attunement with other beings as well as an enriched environment can contribute to normal brain development. The enriched environment of a barn and attunement with an animal may contribute to reductions in stress for traumatised children. A pilot study, using a multiple base line, single case design included four children with post-traumatic stress syndrome (aged eight to ten years) and four therapy riding horses. This study hypothesised that cortisol would correlate between each child–horse pair, using a 12-day intervention that included six consecutive days of riding and grooming. A meta-analysis was completed of correlation levels of four child–horse pairs The weighted mean cross-correlation, controlling for autocorrelation, was 0.23, Z = 3.03, approximate 95% confidence interval 0.23 ± (1.96 × 0.076) or 0.08 to 0.38. The data suggest a need for further research.
Reference values for spirometry and their use in test interpretation: A Position Statement from the Australian and New Zealand Society of Respiratory Science

Traditionally, spirometry testing tended to be confined to the realm of hospital‐based laboratories but is now performed in a variety of health care settings. Regardless of the setting in which the test is conducted, the fundamental basis of spirometry is that the test is both performed and interpreted according to the international standards. The purpose of this Australian and New Zealand Society of Respiratory Science (ANZSRS) statement is to provide the background and recommendations for the interpretation of spirometry results in clinical practice. This includes the benchmarking of an individual's results to population reference data, as well as providing the platform for a statistically and conceptually based approach to the interpretation of spirometry results. Given the many limitations of older reference equations, it is imperative that the most up‐to‐date and relevant reference equations are used for test interpretation. Given this, the ANZSRS recommends the adoption of the Global Lung Function Initiative (GLI) 2012 spirometry reference values throughout Australia and New Zealand. The ANZSRS also recommends that interpretation of spirometry results is based on the lower limit of normal from the reference values and the use of Z‐scores where available.