Miracle-dz/UniFAR-FTUs huggingface dataset:
Allostatic Perspectives in Women Veterans With a History of Childhood Sexual Assault

Background: Women veterans have increased reports of sexual victimization compared to women in general, including childhood sexual assault (CSA) before military service, increasing the risk of military sexual trauma. Findings from recent studies reveal negative health effects following a history of CSA. There is a strong relationship between CSA and revictimization in civilian and military life, which may contribute to allostatic load. Objectives: (1) To determine the relationship between women veterans’ CSA history and later sexual assault history and (2) to determine the relationships between women veterans’ CSA and primary mediators and secondary and tertiary outcomes of allostasis. Research design: Cross-sectional. Subjects: Women (N = 81), 18–70 years old, veterans of the U.S. Armed Services. Measures: Participants completed questionnaires and blood and hair samples were collected. Several scales were utilized: Posttraumatic Checklist–Military, Center for Epidemiological Studies–Depression Scale, Pain Outcomes Questionnaire–Short Form, Cohen’s Perceived Stress Scale (PSS), Profile of Mood States, and an investigator-developed sexual harassment/assault instrument. Results: Thirty-three percent of participants reported CSA; of these, 38.5% reported military sexual assault and 70.3% sexual assault during civilian life. Those with CSA had higher cholesterol, triglycerides, perceived stress scores, and greater pain and fatigue than those without CSA. Hair cortisol was marginally lower in women with CSA when PSS was controlled, suggesting a dampened hypothalamic–pituitary–adrenal axis. Conclusions: These data suggest that some women veterans with a history of CSA may have increased allostatic load and be at increased risk for a variety of later life illnesses.
Acute kidney injury and infections in patients taking antihypertensive drugs: a self-controlled case series analysis

Background The relative risk of acute kidney injury (AKI) following different infections, and whether angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) modify the risk, is unclear. We aimed to determine the risks of hospital admission with AKI following infections (urinary tract infection [UTI], lower respiratory tract infection [LRTI], and gastroenteritis) among users of antihypertensive drugs. Methods We used UK electronic health records from practices contributing to the Clinical Practice Research Datalink linked to the Hospital Episode Statistics database. We identified adults initiating ACEIs/ARBs or alternative antihypertensive therapy (β-blockers, calcium channel blockers, or thiazide diuretics) between April 1997 and March 2014 with at least 1 year of primary care registration prior to first prescription, who had a hospital admission for AKI, and who had a primary care record for incident UTI, LRTI, or gastroenteritis. We used a self-controlled case series design to calculate age-adjusted incidence rate ratios (IRRs) for AKI during risk periods following acute infection relative to noninfected periods (baseline). Results We identified 10,219 eligible new users of ACEIs/ARBs or other antihypertensives with an AKI record. Among these, 2,012 had at least one record for a UTI during follow-up, 2,831 had a record for LRTI, and 651 had a record for gastroenteritis. AKI risk was higher following infection than in baseline noninfectious periods. The rate ratio was highest following gastroenteritis: for the period 1–7 days postinfection, the IRR for AKI following gastroenteritis was 43.4 (95% CI=34.0–55.5), compared with 6.0 following LRTI (95% CI=5.0–7.3), and 9.3 following UTI (95% CI=7.8–11.2). Increased risks were similar for different antihypertensives. Conclusion Acute infections are associated with substantially increased transient AKI risk among antihypertensive users, with the highest risk after gastroenteritis. The increase in relative risk is not greater among users of ACEIs/ARBs compared with users of other antihypertensives.
Association of CYP2C19*2 and *3 Genetic Variants with Essential Hypertension in Koreans

Purpose The cytochrome P450 2C19 (CYP2C19) metabolizes arachidonic acid to produce epoxyicosanoid acids, which are involved in vascular tone and regulation of blood pressure. Recent findings suggest that CYP2C19 gene might be considered as a novel candidate gene for treatment of cardiovascular disease. The aim of the present study was to evaluate the association between two variants, CYP2C19*2 (681G>A) and CYP2C19*3 (636G>A) and the development of essential hypertension (EH) in Koreans. Materials and Methods We carried out an association study in a total of 1190 individuals (527 hypertensive subjects and 663 unrelated healthy controls). The CYP2C19 polymorphisms were genotyped using the SNaPShot™ assay. Results The distribution of alleles and genotypes of CYP2C19*3 showed significant difference between hypertensive patients and normal controls (p=0.011 and p=0.013, respectively). Logistic regression analysis indicated that the CYP2C19*3 (636A) allele carriers were significantly associated with EH [odds ratio, 0.691; 95% confidence interval (CI), 0.512-0.932, p=0.016], in comparison to wild type homozygotes (CYP2C19*1/*1). Neither genotype nor allele distribution of CYP2C19*2 polymorphism showed significant differences between hypertensive and control groups (p>0.05). Conclusion Our present findings strengthen the evidence of an association between CYP2C19 gene polymorphism and EH prevalence. In particular, the CYP2C19*3 defective allele may contribute to reduced risk for the development of EH.
Prognostic value of trisomy 8 as a single anomaly and the influence of additional cytogenetic aberrations in primary myelodysplastic syndromes

Trisomy 8 is the most common chromosomal gain in myelodysplastic syndromes (MDS), however, little is known about the features of MDS with isolated trisomy 8 and the influence of additional cytogenetic aberrations. We determined the characteristics and prognostic factors of 72 patients with trisomy 8 as a single anomaly and analysed also the impact of other aberrations added to trisomy 8 in another 62 patients. According to our study, MDS with isolated trisomy 8 was more frequent in men, with more than one cytopenia in most patients (62%) and having about 4% bone marrow blasts. The multivariate analysis demonstrated that platelet count and percentage bone marrow blasts had the strongest impact on overall survival (OS). The median OS for isolated trisomy 8, trisomy 8 plus one aberration (tr8 + 1), plus two (tr8 + 2) and plus three or more aberrations (tr8 + ≥3) was 34·3, 40, 23·4 and 5·8 months, respectively (P < 0·001). Trisomy 8 confers a poorer prognosis than a normal karyotype in MDS patients with ≥5% bone marrow blasts. This study supports the view that MDS with isolated trisomy 8 should be included in the intermediate cytogenetic risk group.
Biomarkers in breast cancer

Breast cancer is one of the most frequently diagnosed cancers among women in the western world. Due to the aggressive behaviour of some specific types and the possibility of an early diagnosis, breast cancer has been constantly studied. Tumour size, histological type, cellular and nuclear characteristics, mitotic index, vascular invasion, hormonal receptors and axillary lymph node status are biomarkers routinely used. However, these parameters are not enough to predict the course of this disease. Molecular biology advances have made it possible to find new markers, which have already been incorporated to the clinical practice. Their ultimate goal is to reduce mortality by identifying women at risk for the development of this disease, help diagnosis, determine prognosis, detect recurrences, monitor and guide treatment, and in particular cancers they are suited for general screening. Tumour markers in breast cancer were ranked in categories reflecting their clinical utility, according to the American College of Pathologists.This article focuses on traditional and new molecular markers stratifying them into categories and emphasizing their relevance in the routine evaluation of patients with breast cancer.
The impact of gaps and overlaps on variable stiffness composites manufactured by Automated Fiber Placement

Variable stiffness design of composites, where the fiber orientation changes within the plane of laminates, can improve the structural performance of the laminates, and provide a trade-off between design objectives. Laminates with variable stiffness design can be manufactured with Automated Fiber Placement (AFP) technology. During the manufacturing, certain defects, in the form of gaps and/or overlaps, often emerge and hence affect the structural performance of the composite laminates. The amount of change in structural properties depends on the laminates design and manufacturing parameters. Therefore, calculating the actual improvement in the structural properties of variable stiffness composite laminates, when the effect of defects is considered, has been a challenge. In this thesis, first, to fully exploit the benefits of variable stiffness design, simultaneous maximization of in-plane stiffness and buckling load for composite laminates with a constant curvature fiber path is investigated using a surrogate-based genetic algorithm. It is shown that varying the fiber orientation perpendicular to the loading direction can increase buckling load up to 111%. However, considering the minimum turning radius constraint imposed by AFP, the maximum achievable improvement in buckling load reduces to 57%, due to the limited fiber steering. Then, a methodology is developed to locate gaps and overlaps and calculate their area percentages. It is found that by increasing the number of tows inside a course, when the tow width is kept constant, the gap and overlap area percentages are significantly reduced. Smaller reductions in gap and overlap area percentages are obtained when the tow width increases and the number of tows is kept constant. Finally, a strategy, namely the Defect Layer Method, is proposed to build the Finite Element model of variable stiffness laminates with gaps and overlaps. This method is proved to be computationally efficient and more precise compared to the available method in the literature. Finite Element Analysis of two selected variable stiffness laminates is performed and it is found that overlaps increase their structural performance, while gaps deteriorate the mechanical properties. Considering the presence of overlaps, the maximum achievable improvement in buckling load can be increased to 105% compared to 56%, where the overlaps are ignored. Considering the presence of gaps within the laminate, the improvement in buckling load is limited to 40%. Modified Pareto fronts considering the effect of gaps or overlaps are obtained to provide important design guidelines of direct interest to industry. %%%%La conception de composites a rigidite variable (ou l'orientation des fibres change avec le plan du stratifie) peut ameliorer les performances mecaniques du stratifie, et permettre un meilleur compromis dans les designs. Les stratifies a rigidite variable peuvent etre obtenus a l'aide du procede de depose automatique de fibres (AFP). Souvent, lors de la fabrication, certains defauts (espaces ou recouvrements)…
Modeling and Qualification of a Modified Emission Unit for Radioactive Air Emissions Stack Sampling Compliance

AbstractA planned laboratory space and exhaust system modification to the Pacific Northwest National Laboratory Material Science and Technology Building indicated that a new evaluation of the mixing at the air sampling system location would be required for compliance to ANSI/HPS N13.1‐2011. The modified exhaust system would add a third fan, thereby increasing the overall exhaust rate out the stack, thus voiding the previous mixing study. Prior to modifying the radioactive air emissions exhaust system, a three-dimensional computational fluid dynamics computer model was used to evaluate the mixing at the sampling system location. Modeling of the original three-fan system indicated that not all mixing criteria could be met. A second modeling effort was conducted with the addition of an air blender downstream of the confluence of the three fans, which then showed satisfactory mixing results. The final installation included an air blender, and the exhaust system underwent full-scale tests to verify velocity, cyclonic flow, gas, and particulate uniformity. The modeling results and those of the full-scale tests show agreement between each of the evaluated criteria. The use of a computational fluid dynamics code was an effective aid in the design process and allowed the sampling system to remain in its original location while still meeting the requirements for sampling at a well mixed location.
Development of a Practical Methodology for Elastic-Plastic and Fully Plastic Fatigue Crack Growth

A practical engineering methodology has been developed to analyze and predict fatigue crack growth rates under elastic-plastic and fully plastic conditions. The methodology employs the closure-corrected effective range of the J-integral, (Delta)J(sub eff), as the governing parameter. The methodology contains original and literature J and (Delta)J solutions for specific geometries, along with general methods for estimating J for other geometries and other loading conditions, including combined mechanical loading and combined primary and secondary loading. The methodology also contains specific practical algorithms that translate a J solution into a prediction of fatigue crack growth rate or life, including methods for determining crack opening levels, crack instability conditions, and material properties. A critical core subset of the J solutions and the practical algorithms has been implemented into independent elastic-plastic NASGRO modules. All components of the entire methodology, including the NASGRO modules, have been verified through analysis and experiment, and limits of applicability have been identified.
Fixing a Broken ELBO

Recent work in unsupervised representation learning has focused on learning deep directed latent-variable models. Fitting these models by maximizing the marginal likelihood or evidence is typically intractable, thus a common approximation is to maximize the evidence lower bound (ELBO) instead. However, maximum likelihood training (whether exact or approximate) does not necessarily result in a good latent representation, as we demonstrate both theoretically and empirically. In particular, we derive variational lower and upper bounds on the mutual information between the input and the latent variable, and use these bounds to derive a rate-distortion curve that characterizes the tradeoff between compression and reconstruction accuracy. Using this framework, we demonstrate that there is a family of models with identical ELBO, but different quantitative and qualitative characteristics. Our framework also suggests a simple new method to ensure that latent variable models with powerful stochastic decoders do not ignore their latent code.
Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods

We present a hierarchical Bayesian method for at- mospheric trace gas inversions. This method is used to esti- mate emissions of trace gases as well as "hyper-parameters" that characterize the probability density functions (PDFs) of the a priori emissions and model-measurement covariances. By exploring the space of "uncertainties in uncertainties", we show that the hierarchical method results in a more com- plete estimation of emissions and their uncertainties than tra- ditional Bayesian inversions, which rely heavily on expert judgment. We present an analysis that shows the effect of including hyper-parameters, which are themselves informed by the data, and show that this method can serve to reduce the effect of errors in assumptions made about the a priori emissions and model-measurement uncertainties. We then apply this method to the estimation of sulfur hexafluoride (SF6) emissions over 2012 for the regions surrounding four Advanced Global Atmospheric Gases Experiment (AGAGE) stations. We find that improper accounting of model repre- sentation uncertainties, in particular, can lead to the deriva- tion of emissions and associated uncertainties that are un- realistic and show that those derived using the hierarchical method are likely to be more representative of the true uncer- tainties in the system. We demonstrate through this SF6 case study that this method is less sensitive to outliers in the data and to subjective assumptions about a priori emissions and model-measurement uncertainties than traditional methods.
Examining Influences of Parenting Styles and Practices on Physical Activity and Sedentary Behaviors in Latino Children in the United States: Integrative Review

Background Research indicates that parents influence their children’s physical activity (PA) and sedentary behaviors (SB) through their parenting styles and practices. Objective The objectives of this paper were to evaluate existing research examining the associations between parenting styles, parenting practices, and PA and SB among Latino children aged between 2 and 12 years, highlight limitations of the existing research, and generate suggestions for future research. Methods The method of this integrative review was informed by methods developed by Whittemore and Knafl, which allow for the inclusion of qualitative, quantitative, and mixed-methods studies. Using the Preferred Reporting Items for Systematic Reviews Meta-Analyses guidelines, five electronic academic databases (PubMed, SPORTDiscus, PsycINFO, PsycARTICLES, and CINAHL) were searched for peer-reviewed, full-text papers published in English. Of the 641 unique citations identified, 67 full-text papers were retrieved, and 16 were selected for review. Results The majority of the 16 reviewed studies were conducted with predominantly Mexican American or Mexican immigrant samples, and only 1 study examined the association between parenting styles and Latino children’s PA and SB. Most (n=15) reviewed studies assessed the influence of parenting practices on children’s PA and SB, and they provide good evidence that parenting practices such as offering verbal encouragement, prompting the child to be physically active, providing logistic support, engaging and being involved in PA, monitoring, and offering reinforcement and rewards encourage, facilitate, or increase children’s PA. The examined studies also provide evidence that parenting practices, such as setting rules and implementing PA restrictions due to safety concerns, weather, and using psychological control discourage, hinder, or decrease children’s PA. Conclusions Because this review found a very small number of studies examining the relationship between parenting styles and Latino children’s PA and SB, additional research is needed. Given that the majority of reviewed studies were conducted with predominantly Mexican American or Mexican immigrant samples, additional research examining parenting styles, parenting practices, and PA and SB among multiethnic Latino groups is needed to design interventions tailored to the needs of this ethnically diverse population group.
Investigating d-cycloserine as a potential pharmacological enhancer of an emotional bias learning procedure

The partial N-methyl-D-aspartate receptor agonist d-cycloserine may enhance psychological therapies. However, its exact mechanism of action is still being investigated. Cognitive bias modification techniques allow isolation of cognitive processes and thus investigation of how they may be affected by d-cycloserine. We used a cognitive bias modification paradigm targeting appraisals of a stressful event, Cognitive Bias Modification-Appraisal, to investigate whether d-cycloserine enhanced the modification of appraisal, and whether it caused greater reduction in indices of psychopathology. Participants received either 250 mg of d-cycloserine (n=19) or placebo (n=19). As a stressor task, participants recalled a negative life event, followed by positive Cognitive Bias Modification-Appraisal training. Before and after Cognitive Bias Modification-Appraisal, appraisals and indices of psychopathology related to the stressor were assessed. Cognitive Bias Modification-Appraisal successfully modified appraisals, but d-cycloserine did not affect appraisals post-training. There were no post-training group differences in frequency of intrusions. Interestingly, d-cycloserine led to a greater reduction in distress and impact on state mood from recalling the event, and lower distress post-training was associated with fewer intrusions. Therefore, d-cycloserine may affect emotional reactivity to recalling a negative event when combined with induction of a positive appraisal style, but via a mechanism other than enhanced learning of the appraisal style.
Collaborative Filtering with Entropy‐Driven User Similarity in Recommender Systems

Collaborative filtering (CF) is the most popular approach in personalized recommender systems. Although CF approaches have successfully been used and have the advantage in that it is unnecessary to analyze item content when generating recommendations, they nevertheless suffer from problems with accuracy. In this paper, we propose a new CF approach to improve recommendation performance. First, a new information entropy‐driven user similarity measure model is proposed to measure the relative difference between ratings. A Manhattan distance‐based model is then developed to address the fat tail problem by estimating the alternative active user average rating. The effectiveness of the proposed approach is analyzed on public and private data sets. As a result of the introduction of the new similarity measure and average rating estimation, we demonstrate that the proposed new CF recommendation approach provides better recommendations.