Miracle-dz/UniFAR-FTUs huggingface dataset:
IL‐6 is an independent risk factor for resistance to erythropoiesis‐stimulating agents in hemodialysis patients without iron deficiency

Anemia is a common complication in dialysis patients because of their relative erythropoietin deficiency. Despite treatment with erythropoiesis‐stimulating agents (ESAs), some patients experienced ESA hyporesponsiveness. We evaluated the clinical and laboratory factors that affect ESA hyporesponsiveness and investigated the relationships between hepcidin, inflammatory markers, and the iron profiles of hemodialysis patients. Sixty‐eight patients receiving hemodialysis at a single institution were evaluated in a cross‐sectional study. The patients were divided into tertiles based on the ESA hyporesponsiveness index (EHRI), defined as the weekly ESA dose per kilogram of body weight divided by the hemoglobin level. The mean EHRI values for each tertile were 3.3 ± 1.2 (T1), 10.2 ± 2.9 (T2), and 24.5 ± 11.6 (T3). The mean serum erythropoietin levels were significantly higher in the Q3 and Q4 groups. Thus, patients with ESA hyporesponsiveness showed relative resistance to erythropoietin therapy. In univariate and multivariate analyses, patients in the third tertile of EHRI showed significantly higher mean interleukin‐6 (IL‐6) levels. Serum C‐reactive protein (CRP) levels showed a similar trend, but the differences were not significant. Serum hepcidin levels tended toward lower mean values in the third tertile of EHRI. No relationship was observed between hepcidin and inflammatory markers or iron status. In conclusion, IL‐6, but not CRP, is a strong predictor of ESA hyporesponsiveness in hemodialysis patients who have sufficient iron. It may be difficult to use hepcidin as an independent clinical marker because of the many factors that influence it and their interactions.
Pathwise derivative methods on single-asset American option sensitivity estimation

In this paper, we investigate efficient Monte Carlo estimators to American option sensitivities on single asset. Using two features of the exercising boundary of the optimal stopping problem, the “continuous-fit” and “smooth-pasting” conditions, we derive unbiased pathwise estimators for first and second-order derivatives. Our method can be easily embedded into some popular algorithms for pricing one-dimensional American options. Numerical examples on vanilla puts illustrate accuracy and efficiency of the method.
Ranolazine Therapy in Cardiac Arrhythmias

Ranolazine is an antianginal medication originally granted approval by the U.S. Food and Drug Administration for therapeutic use in 2006. Since its introduction into the U.S. market, there have been multiple trials and clinical case reports that demonstrate ranolazine may be effective in the prevention and treatment of both atrial and ventricular arrhythmias, including postoperative atrial fibrillation following coronary artery bypass graft (CABG) surgery. More recently, the combination of dronedarone with ranolazine has demonstrated in initial studies to have a synergistic effect in the reduction of burden of atrial fibrillation. This article will review the basic pharmacology of ranolazine, the studies demonstrating use of ranolazine in atrial and ventricular arrhythmias, the limitations to the use of ranolazine as antiarrhythmic therapy, and explore the synergistic effect with other agents in the suppression of arrhythmias.
Zeb1 affects epithelial cell adhesion by diverting glycosphingolipid metabolism

This study proposes that the transcription factor Zeb1 modulates epithelial cell adhesion by diverting glycosphingolipid metabolism. Zeb1 promotes expression of a‐series glycosphingolipids via regulating expression of GM3 synthase (St3gal5), which mechanistically involves Zeb1 binding to the St3gal5 promoter as well as suppressing microRNA‐mediated repression of St3gal5. Functionally, the repression of St3gal5 suffices to elevate intercellular adhesion and expression of distinct junction‐associated proteins, reminiscent of knockdown of Zeb1. Conversely, overexpressing St3gal5 sensitizes cells towards TGF‐β1‐induced disruption of cell–cell interaction and partially antagonizes elevation of intercellular adhesion imposed by Zeb1 knockdown. These results highlight a direct connection of glycosphingolipid metabolism and epithelial cell adhesion via Zeb1.
Healthcare Use in Individuals with Obesity and Chronic Hypoxemia Treated for Sleep Disordered Breathing.

STUDY OBJECTIVES To determine if treatment of obstructive sleep apnea (OSA) and obesity hypoventilation syndrome (OHS) among patients with chronic hypoxemia is associated with reduced healthcare utilization. METHODS We performed a retrospective cohort study of 129 obese, hypoxemic patients who underwent polysomnography and were prescribed positive airway pressure (PAP) therapy. During a 2-year follow-up period we examined the associations between adherence to PAP therapy and rates of hospitalization, emergency room (ER) visits, and outpatient visits. RESULTS Severe OSA and OHS were common, as were hypertension, cardiovascular, and pulmonary disease. Forty-nine percent of patients were adherent with PAP therapy. Compared to patients who were not adherent to PAP therapy, adherent patients had significantly lower rates of all-cause hospitalization (incident rate ratio [IRR]:0.55, 95% CI 0.33, 0.93) after adjustment for age, sex and hospitalisation rates prior to treatment. Adjustment for additional comorbidities attenuated this association (IRR: 0.61, 95% CI 0.35, 1.06). Adherence with PAP therapy was associated with lower odds of frequent hospitalization (odds ratio 0.23, 95% CI 0.07, 0.73). There were no significant differences in the rates of ER or outpatient visits between adherent and non-adherent patients. CONCLUSIONS Adherence with PAP treatment in patients with chronic hypoxemia and chronic medical disorders is associated with reduced rates of hospitalization, which has significant benefit both for patients and the healthcare system.
Effects of Intermittent Faults on the Reliability of a Reduced Instruction Set Computing (RISC) Microprocessor

With the scaling of complementary metal-oxide-semiconductor (CMOS) technology to the submicron range, designers have to deal with a growing number and variety of fault types. In this way, intermittent faults are gaining importance in modern very large scale integration (VLSI) circuits. The presence of these faults is increasing due to the complexity of manufacturing processes (which produce residues and parameter variations), together with special aging mechanisms. This work presents a case study of the impact of intermittent faults on the behavior of a reduced instruction set computing (RISC) microprocessor. We have carried out an exhaustive reliability assessment by using very-high-speed-integrated-circuit hardware description language (VHDL)-based fault injection. In this way, we have been able to modify different intermittent fault parameters, to select various targets, and even, to compare the impact of intermittent faults with those induced by transient and permanent faults.
Effect of 1 human milk prostaglandins and lactoferrin on respiratory syncytial virus and rotavirus

The effect of lactoferrin and prostaglandins E and F2α on the growth of rotavirus and respiratory syncytial virus in cell culture was investigated. Lactoferrin inhibited the growth of respiratory syncytial virus at a concentration tenfold lower than that normally present in human milk. The prostaglandins had no effect on either virus growth, even at a concentration of 100‐fold more than that found in human milk. Lactoferrin may have some antiviral properties in human milk in addition to its known antibacterial functions.
Low-Density Parity-Check (LDPC) Codes Constructed from Protographs

We introduce a new class of low-density parity-check (LDPC) codes constructed from a template called a protograph. The protograph serves as a blueprint for constructing LDPC codes of arbitrary size whose performance can be predicted by analyzing the protograph. We apply standard density evolution techniques to predict the performance of large protograph codes. Finally, we use a randomized search algorithm to find good protographs.
Em busca do significado do trabalho: Relato de um estudo qualitativo entre executivos

The present article is derived from of a study accomplished in a group of managers aimed at understanding the meaning attributed by them to the work they perform. The research has been conducted according to a qualitative approach, based on Phenomenology. The collection of data was obtained through individual interviews, adopting as analytical process the method proposed by Giorgi (1985), involving four steps, and starting with verbal reports about living experiences to get to the understanding of the phenomenon. The results obtained indicated that, for each individual, work assumes a different meaning, a function related to his wishes and needs, transforming the work itself in an instrument for their self-actualization. The study also allowed the identification of 10 categories
MRI and cognitive impairment in Parkinson's disease

Patients with Parkinson's disease (PD) may present impairment in cognitive functions even at early stages of the disease. When compared with the general population, their risk of dementia is five to six times higher. Recent investigations using structural MRI have shown that dementia in PD is related to cortical structural changes and that specific cognitive dysfunctions can be attributed to atrophy in specific structures. We review the structural MRI studies carried out in PD using either a manual region of interest (ROI) approach or voxel‐based morphometry (VBM). ROI studies have shown that hippocampal volume is decreased in patients with PD with and without dementia; in addition, hippocampal atrophy correlated with deficits in verbal memory. VBM studies have demonstrated that dementia in PD involves structural changes in limbic areas and widespread cortical atrophy. Findings in nondemented patients with PD are less conclusive, possibly because cognitively heterogeneous groups of patients have been studied. Patients with PD with cognitive impairment and/or visual hallucinations present greater brain atrophy than patients without these characteristics. These findings suggest that cortical atrophy is related to cognitive dysfunction in PD and precedes the development of dementia. Structural MRI might therefore provide an early marker for dementia in PD. © 2009 Movement Disorder Society
Systematic review of animal models for the study of implant integration, assessing the influence of material, surface and design.

OBJECTIVES The aim of this systematic review was to assess the scientific literature in terms of pre-clinical studies evaluating the influence of material, surface and design on the integration of an implant by hard and soft tissues. The included publications were analysed with regard to the frequency of reporting of criteria being derived from the ARRIVE guidelines. This served to trace elements within animal studies, where the quality of reporting needs to improve. MATERIAL AND METHODS The literature search was performed in Ovid Medline and included English literature from January 1990 to July 2011. A list of 24 criteria derived from the ARRIVE guidelines for animal research was adjusted to implant studies on osseointegration in pristine bone and was applied to all included study manuscripts. Each criteria was graded by "0" (not reported) or "1" (reported) and the frequency of reporting for each criteria was recorded. RESULTS A total of 271 studies were included into this review. Generally the quality of reporting increased with time. Low frequencies of reporting were achieved for criteria like "randomisation of animals", "reasons for the animal model" and "relevance to humans". CONCLUSIONS The frequency of reporting showed high percentages for most criteria. However, the quality of reporting in pre-clinical studies needs to improve in areas like the reporting of statistical information, study setup and the possible translation of the results to humans.
Relapse in leprosy.

Leprosy is unique in terms of the nature of the causative organism (Mycobacterium leprae), the chronicity of the disease, its prolonged treatment and the definitions of "cure" and "relapse. " The principal mode of assessing the efficacy of therapeutic regimens in leprosy is the "relapse rate. " There are wide variations in estimates of relapse rates after the World Health Organization (WHO) multidrug therapy in different regions. The important predisposing factors for relapse include the presence of "persister" bacilli, monotherapy, inadequate/irregular therapy, presence of multiple skin lesions/thickened nerves and lepromin negativity. The conventional methods of confirming activity or relapse in an infectious disease (demonstration and/or culture of the etiologic agent) have limited utility in leprosy because of the difficulty in demonstrating bacilli in paucibacillary (PB) cases and absence of a method of in vitro cultivation of M. leprae. Bacteriological parameters are useful in multibacillary (MB) leprosy, whereas in PB leprosy, the criteria for relapse depend primarily on clinical features. Although there are no widely available serologic tests for leprosy other than in a research setting, various immunological tests may be useful for monitoring patients on chemotherapy as well as for confirming suspected cases of relapse. The main differential diagnoses for relapse are reversal reactions, erythema nodosum leprosum and reactivation/resistance/reinfection. The most reliable criteria for making an accurate diagnosis of relapse include clinical, bacteriological and therapeutic criteria. Additional ones that may be used, depending on the setting, are histopathological and serologic criteria. Relapsed cases of leprosy should be identified and put back on chemotherapy as soon as possible to prevent further disability and transmission of infection. Factors that should be considered in choosing an appropriate regimen are the type of leprosy (PB or MB), previous treatment and drug resistance. Occasionally, clinicians may need to use their judgement to modify the standard WHO treatment regimens according to the scenario in each patient.
Antibody against chromatin assembly factor-1 is a novel autoantibody specifically recognized in systemic lupus erythematosus

Autoantibodies to proliferating cell nuclear antigen (PCNA) are specifically, if rarely, present in systemic lupus erythematosus (SLE) patient sera. Even SLE patients lacking PCNA reactivity often show reaction to PCNA-binding protein. Here, immunoreactivity to chromatin assembly factor-1 (CAF-1), an essential molecule for DNA replication and a PCNA-binding protein, was compared for the sera of SLE patients, normal healthy controls (NHCs) and other disease controls, and in autoimmune sera reactive to standard autoantigens, by enzyme-linked immunosorbent assay (ELISA), indirect immunofluorescence, and immunoblotting. CAF1 and IRF1 expression in SLE and NHC peripheral mononuclear cells were compared by quantitative real-time polymerase chain reaction. Serum interferon-γ-inducing protein-10 and anti-double-stranded (ds)DNA antibody levels were measured by ELISA. Increased CAF-1 autoimmune reactivity was recognized in SLE or serum anti-dsDNA antibody-positive patients. Significantly greater central nervous system (CNS) involvement (aseptic meningitis) and serum anti-dsDNA antibody titers were present more often in anti-CAF-1 antibody-positive than antibody-negative SLE patients. IFN-γ positively regulated CAF-1 expression in vitro and was associated with anti-CAF-1 antibody production in SLE. Thus, a novel anti-CAF-1 autoantibody is frequently found in patients with SLE and is a useful biomarker for diagnosis, especially in cases with CNS involvement. Aberrant IFN-γ regulation appears to play an important role in anti-CAF-1 antibody production in SLE.
Lesions of the frontal cortex of the rat: changes in neurotransmitter systems in sub-cortical regions [proceedings].

The frontal cortex is known to contain dopamine (DA) and noradrenaline (NA) terminals arising from projections of mesencephalic and brain stem located cell bodies respectively (Lindvall, Bjorklund & Divac, 1978). Ablation of this region of the cortex stimulates motor behaviour in the rat (Iversen, 1971) although the exact functional roles of the catecholamine neuro-transmitters have yet to be established. Initial obser- vations suggest a behaviourally inhibitory role for DA in the frontal cortex as opposed to its excitant proper-ties in the classical sub-cortical regions (Carter & Tassin, Stinus, Le Moal, We now report the effects of lesions aimed at the frontal cortical DA system on monoamine concentrations in extrapyrami-dal and limbic areas.
Connective tissue growth factor, matrix regulation, and diabetic kidney disease

Purpose of reviewConnective tissue growth factor, more recently officially known as CCN-2, is a member of the CCN family of secreted cysteine-rich modular matricellular proteins. Here, we review CCN-2 in diabetic nephropathy with focus on its regulation of extracellular matrix. Recent findingsCCN-2 is upregulated in the clinical and preclinical models of diabetic nephropathy by multiple stimuli, including elevated glucose, advanced glycation, some types of lipid, various hemodynamic factors, as well as hypoxia and oxidative stress. CCN-2 has bioactivities that suggest it may mediate diabetic nephropathy pathogenesis, especially in extracellular matrix accumulation, through both induction of new matrix and inhibition of matrix degradation. CCN-2 also has proinflammatory functions. Moreover, recent studies using antibodies or antisense technologies in animal and early phase clinical trial settings have shown that inhibition of renal CCN-2 expression or action may prevent diabetic nephropathy. Additionally, determination of renal and blood levels of CCN-2 as a marker of diabetic renal disease and its progression appears to have value. SummaryRecent publications implicate CCN-2 as both an evolving marker and mediator of diabetic nephropathy.
Minimizing a Submodular Function from Samples

In this paper we consider the problem of minimizing a submodular function from training data. Submodular functions can be efficiently minimized and are consequently heavily applied in machine learning. There are many cases, however, in which we do not know the function we aim to optimize, but rather have access to training data that is used to learn it. In this paper we consider the question of whether submodular functions can be minimized when given access to its training data. We show that even learnable submodular functions cannot be minimized within any non-trivial approximation when given access to polynomially-many samples. Specifically, we show that there is a class of submodular functions with range in [0, 1] such that, despite being PAC-learnable and minimizable in polynomial-time, no algorithm can obtain an approximation strictly better than 1/2 − o(1) using polynomially-many samples drawn from any distribution. Furthermore, we show that this bound is tight via a trivial algorithm that obtains an approximation of 1/2.
Two-tier L-L de-embedding method for S-parameters measurements of devices mounted in test fixture

By using an indirect method for determining the characteristic impedance of uniform transmission lines embedded in coaxial connectors, a novel two tier L-L de-embedding method is presented. The proposed de-embedding method is suitable for S parameters characterization of GaN HEMTs packaged transistors mounted on a symmetrical and reciprocal test fixture. In addition, the new technique does not presents the limitation exhibited by the Thru-Reflect-Line (TRL) in the low frequency range nor the limitation exhibited by the Thru-Reflect-Match (TRM) in the high frequency range. To validate the new two tier L-L de-embedding method, the S-parameters of a packaged GaN HEMT de-embedded with TRL are used. The good agreement between the DUT S-parameters obtained with both techniques, L-L and the TRL, validates the proposed L-L de-embedding method.
Digital camera calibration methods: Considerations and comparisons

Camera calibration has always been an essential component of photogrammetric measurement, with self-calibration nowadays being an integral and routinely applied operation within photogrammetric triangulation, especially in high-accuracy close-range measurement. With the very rapid growth in adoption of off-the-shelf digital cameras for a host of new 3D measurement applications, however, there are many situations where the geometry of the image network will not support robust recovery of camera parameters via on-the-job calibration. For this reason, stand-alone camera calibration has again emerged as an important issue in close-range photogrammetry, and it also remains a topic of research interest in computer vision. This paper overviews the current approaches adopted for camera calibration in close-range photogrammetry and computer vision, and discusses operational aspects for self-calibration. Also, the results of camera calibrations using different algorithms are summarized. Finally, the impact of chromatic aberration on modelled radial distortion is touched upon to highlight the fact that there are still issues of research interest in the photogrammetric calibration of consumer-grade digital cameras.
Do Female and Male Role Models Who Embody STEM Stereotypes Hinder Women’s Anticipated Success in STEM?

Women who have not yet entered science, technology, engineering, and mathematics (STEM) fields underestimate how well they will perform in those fields (e.g., Correll, 2001; Meece, Parsons, Kaczala, & Goff, 1982). It is commonly assumed that female role models improve women’s beliefs that they can be successful in STEM. The current work tests this assumption. Two experiments varied role model gender and whether role models embody computer science stereotypes. Role model gender had no effect on success beliefs. However, women who interacted with nonstereotypical role models believed they would be more successful in computer science than those who interacted with stereotypical role models. Differences in women’s success beliefs were mediated by their perceived dissimilarity from stereotypical role models. When attempting to convey to women that they can be successful in STEM fields, role model gender may be less important than the extent to which role models embody current STEM stereotypes.