Miracle-dz/UniFAR-FTUs huggingface dataset:
Avaliação de fatores que interferem na amamentação na primeira hora de vida

Objective: To investigate how the 4thStep of the Baby-Friendly Hospital Initiative was applied, assess the prevalence of breastfeeding (BF) within the first hour after birth and analyze factors associated with non-BF in this period of life. Methods: Cross-sectional study conducted in a high-risk maternity-hospital in Rio de Janeiro City, Brazil, with interview to a sample of 403 rooming-in mothers. The prevalence ratio with its respective 95% confidence interval was estimated by the use of SPSS 15® from a model with complementary log log link function. Results: The prevalence of BF in the first hour of life was 43.9%. Multivariate analysis showed that were protected against non-BF in the first hour after birth non-black women (PR = 0.62, 95% CI: 0.42-0.90), multiparous women (PR = 0.66, 95% CI: 0.47-0.93), prenatal care (PR = 0.23, 95% CI: 0.08-0.67), vaginal delivery (PR =0 .41, 95% CI: 0.28-0.60), newborn with birthweight ≥ 2,500g (PR = 0.31, 95% CI: 0.11-0.86) and women who received help from the health team to BF in the delivery room (PR = 0.51, 95% CI: 0.36-0.72). Conclusion: Help provided by the health team to breastfeeding at birth, Step 4 of the Baby-Friendly Hospital Initiative, as well as non black women, multiparous women, receiving pre-natal care, vaginal delivery and appropriate birthweight contributed to breastfeeding in the first hour of life.
Ex Vivo-Generated CD36 (cid:1) Erythroid Progenitors Are Highly Permissive to Human Parvovirus B19 Replication (cid:1)

The pathogenic parvovirus B19 (B19V) has an extreme tropism for human erythroid progenitor cells. In vitro, only a few erythroid leukemic cell lines (JK-1 and KU812Ep6) or megakaryoblastoid cell lines (UT7/Epo and UT7/Epo-S1) with erythroid characteristics support B19V replication, but these cells are only semiper- missive. By using recent advances in generating large numbers of human erythroid progenitor cells (EPCs) ex vivo from hematopoietic stem cells (HSCs), we produced a pure population of CD36 (cid:1) EPCs expanded and differentiated from CD34 (cid:1) HSCs and assessed the CD36 (cid:1) EPCs for their permissiveness to B19V infection. Over more than 3 weeks, cells grown in serum-free medium expanded more than 800,000-fold, and 87 to 96% of the CD36 (cid:1) EPCs were positive for globoside, the cellular receptor for B19V. Immunoﬂuorescence (IF) staining showed that about 77% of the CD36 (cid:1) EPCs were positive for B19V infection, while about 9% of UT7/Epo-S1 cells were B19V positive. Viral DNA detected by real-time PCR increased more than 3 in (cid:1) EPCs; the 1 in UT7/Epo-S1 cells. extensive permissivity of (cid:1) EPCs, we signiﬁcantly improved the sensitivity of detection of infectious B19V by real-time reverse transcription-PCR and IF staining 100- and 1,000-fold, respectively, which is greater than the sensitivity of UT7/Epo-S1 cell-based methods. This is the ﬁrst description of an ex vivo method to produce large numbers of EPCs that are highly permissive to and offering a cellular system that mimics in vivo with
Early Childhood Education Papers (Belia) Application of Cooperative Learning Model Student Teams Achievement Divisions (STAD) to Improve Children Ages 3-4 Years Speaking Ability in KB

Indonesia Abstract The speaking ability for early childhood is very important for the provision of adult-hood. At this time, children are easier to absorb stimuli received from the surround-ing environment, therefore the speaking ability is very appropriate to be stimulated from an early age. One way that can be done to improve children's ability to speak is with new and enjoyable learning methods. Through the Student Team Achievement Division method, it is hoped that it can help children develop their speaking skills. This study aims to determine the differences in the increase in the speaking ability of children aged 3-4 years through the Student Team Achievement Division method at KB (Playgroup) Cempaka Ngadipuro District Dukun Magelang Regency. This research is a quantitative research using the One-Group Pretest-Posttest Design approach. The population is all students aged 3-4 years in the KB Cempaka Ngadipuro in Dukun District of Magelang Regency. The samples use are children aged 3-4 years in the all KB in Ngadipuro Dukun Magelang Regency as many as 30 children. The sampling technique is a Purposive Sample technique. The data collection technique uses the speaking ability scale of children aged 3-4 years, while the data analysis uses the Paired Sample t-Test and percentage techniques. Based on the results of calculation of hypothesis testing statistics obtain t-test data using the Paired Sample t-Test on the SPSS program obtain the value - t table > t count > t table, namely (-2.045> - 5,942 or 5,942> 2,045), Sig = 0,000 or Sig (2 Tailed) <0.05 so Ha is accepted and Ho is rejected. So, it can be concluded that there is a significant difference in the speaking ability of children aged 3-4 years in KB Cempaka Ngadipuro District Dukun Magelang Regency after the Student Team Achievement Division method is
Earth and Planetary Science Letters An essential role for sulfur in sulﬁde-silicate melt partitioning of gold and magmatic gold transport at subduction settings

Sulﬁde-silicate melt partitioning controls the behavior of gold in magmas, which is critical for understanding the Earth’s deep gold cycle and formation of gold deposits. However, the mechanisms that control the sulﬁde-silicate melt partitioning of gold remain largely unknown. Here we present constraints from laboratory experiments on the partition coeﬃcient of gold between monosulﬁde-solid-solution (MSS) and silicate melt ( D MSS / SM Au ) under conditions relevant for magmatism at subduction settings. Thirty-ﬁve experiments were performed in Au capsules to determine D MSS / SM Au at 950-1050 ◦ C, 0.5-3 GPa, oxygen fugacity ( f O 2 ) of ∼ FMQ-1.7 to FMQ+2.7 (FMQ refers to the fayalite-magnetite-quartz buffer), and sulfur fugacity
Acidification in upland watersheds of western Virginia: biogeochemical responses to reduced acid deposition and predictions for future interactions with climate change

Although decreased acid deposition over recent decades has led to widespread recovery of surface waters across the U.S. and Europe, high sulfate (SO4 2) adsorption in the southern Appalachian uplands has prevented significant acid-base recovery in this region. To update the regional acid-base status and characterize the controls on watershed response to reduced acid deposition, streamwater samples collected at 64 sites in western Virginia on a quarterly basis from 1987 to 2011 were analyzed for chemical properties. Individual watershed response was strongly influenced by the dominant underlying bedrock, which affected SO4 2adsorption and base cation supply. Although pH increased at a majority of sites across all bedrock types, acid neutralizing capacity decreased at most sites underlain by base-poor bedrock, suggesting the susceptibility to episodic acidification remains a serious threat to these streams. Results of a sulfur mass balance analysis indicate that sustained declines in sulfur deposition may lead to general decreases in the pool of stored sulfur in base-poor siliciclastic watersheds, which until recently have been experiencing net storage of sulfur. At the same time, as anthropogenic climate change continues to emerge as a global phenomenon affecting temperature regimes and hydrological cycling among many other variables, new concerns are being posed to these watershed ecosystems. The PnET-BGC model was applied to the White Oak Run (WOR1) watershed in Shenandoah National Park, VA to evaluate the potential influence of future changes in climate on acid-base chemistry. While the streamwater concentration of SO4 2is projected to decline as WOR1 recovers from peak deposition in the 1970’s, base cations are expected to decline even more in part as a result of increased plant demand, leading to an overall loss of alkalinity in the stream. The chemical forecast for WOR1 is dependent on the exact magnitude of change in climate, with precipitation
Interleukin-36 promotes systemic Type-I IFN responses in severe forms of psoriasis

Psoriasis is an immune-mediated skin disorder associated with severe systemic co-morbidities. While IL-36 is a key disease driver, the pathogenic role of this cytokine has mainly been investigated in skin. Thus, its effects on systemic immunity and extra-cutaneous disease manifestations remain poorly understood. To address this issue, we investigated the consequences of excessive IL-36 activity in circulating immune cells. We initially focused our attention on generalised pustular psoriasis (GPP), a clinical variant associated with pervasive up-regulation of IL-36 signalling. By undertaking blood and neutrophil RNA-sequencing, we demonstrated that affected individuals display a prominent Type-I IFN signature, which correlates with abnormal IL-36 activity. We then validated the association between IL-36 de-regulation and Type-I IFN over-expression in patients with severe psoriasis vulgaris (PsV). We also found that the activation of Type-I IFN genes was associated with extra-cutaneous morbidity, in both GPP and PsV. Finally, we undertook mechanistic experiments, demonstrating that IL-36 acts directly on plasmacytoid dendritic cells (pDCs), where it potentiates Toll-like Receptor (TLR)-9 activation and IFN-α production. This effect was mediated by the up-regulation of PLSCR1, a phospholipid scramblase mediating endosomal TLR-9 translocation. These findings identify an IL-36/Type-I IFN axis contributing to extra-cutaneous inflammation in psoriasis. In we hypothesise that abnormal IL-36 signalling has extra-cutaneous effects in both GPP and PsV, driving acute systemic flares in the former and contributing to a state of chronic systemic inflammation in the latter. To explore this model, we integrated the transcription profiling of patient leukocytes with ex-vivo IL-36 stimulations. We show that IL-36 potentiates Toll-like receptor (TLR)-9 activation and enhances the production of Type-I IFN, a cytokine that contributes to systemic immunity, arthritis and atherosclerosis.
This information is current as IL-2 Receptors on NK Cells Induction of CD25 To Form High-Affinity Innate and Adaptive Immunity: IL-12 Cutting Edge: A Novel Mechanism Bridging

Seung-Hwan Lee, Maria F. Fragoso and Christine A. Bironhttp://www.jimmunol.org/content/189/6/2712doi: 10.4049/jimmunol.1201528August 2012;J Immunol€2012; 189:2712-2716; Prepublished online 10Referenceshttp://www.jimmunol.org/content/189/6/2712.full#ref-list-1This article cites 27 articles, 17 of which you can access for free at: Subscriptionshttp://jimmunol.org/subscriptionsInformation about subscribing to The Journal of Immunology is online at: Permissionshttp://www.aai. org/ji/copyright.htmlSubmit copyright permission requests at: Email Alertshttp://jimmunol.org/cgi/alerts/etocReceive free email-alerts when new articles cite this article. Sign up at:
Eating Disorders Working of the Psychiatric Genomics Associations Between Attention-Deficit/Hyperactivity Disorder and Various Eating Disorders: A Swedish Nationwide Population Study Using Multiple Genetically Informative Approaches. Biological

BACKGROUND: Although attention-de ﬁ cit/hyperactivity disorder (ADHD) and eating disorders (EDs) frequently co-occur, little is known about the shared etiology. In this study, we comprehensively investigated the genetic association between ADHD and various EDs, including anorexia nervosa (AN) and other EDs such as bulimia nervosa. METHODS: We applied different genetically informative designs to register-based information of a Swedish nationwide population ( N = 3,550,118). We ﬁ rst examined the familial coaggregation of clinically diagnosed ADHD and EDs across multiple types of relatives. We then applied quantitative genetic modeling in full-sisters and maternal half-sisters to estimate the genetic correlations between ADHD and EDs. We further tested the associations between ADHD polygenic risk scores and ED symptoms, and between AN polygenic risk scores and ADHD symptoms, in a genotyped population-based sample ( N = 13,472). RESULTS: Increased risk of all types of EDs was found in individuals with ADHD (any ED: odds ratio [OR] = 3.97, 95% con ﬁ dence interval [CI] = 3.81, 4.14; AN: OR = 2.68, 95% CI = 2.15, 2.86; other EDs: OR = 4.66, 95% CI = 4.47, 4.87; bulimia nervosa: OR = 5.01, 95% CI = 4.63, 5.41) and their relatives compared with individuals without ADHD and their relatives. The magnitude of the associations decreased as the degree of relatedness decreased, suggesting shared familial liability between ADHD and EDs. Quantitative genetic models revealed stronger genetic correlation of ADHD with other EDs (.37, 95% CI = .31, .42) than with AN (.14, 95% CI = .05, .22). ADHD polygenic risk scores correlated positively with ED symptom measures overall and with the subscales Drive for Thinness and Body Dissatisfaction despite small effect sizes. CONCLUSIONS: We observed stronger genetic association with ADHD for non-AN EDs than for AN, highlighting speci ﬁ c genetic correlation beyond a general genetic factor across psychiatric disorders. Approximately 42% of the phenotypic covariance between ADHD and AN was explained by their genetic covariance, whereas approximately 73% of the phenotypic covariance between ADHD and OEDs was explained by their genetic covariance, and the proportion for ADHD and BN was estimated to be approximately 58%. The remaining proportion of the phenotypic covariance between ADHD and each ED was explained by their unique environmental covariance. The genetic correlation between ADHD and AN was estimated to be approximately . 14 (.05, .22), whereas higher genetic correlation with ADHD was found in OEDs (.37 [.31, .42]) and potentially also in BN (.28 [.20, .39]).
Mitigating the Massive Access Problem in the Internet of Things

The traﬃc from the large number of IoT devices connected to the IoT is a source of congestion known as the Massive Access Problem (MAP), that results in packet losses, delays and missed deadlines for real-time data. This paper reviews the literature on MAP and summarizes recent results on two approaches that have been designed to mitigate MAP. One approach is based on randomizing the packet arrival instants to IoT gateways within a given time interval that is chosen so that packet arrivals do not exceed their deadlines, but also so that they do not constitute bulk arrivals. The second approach is a novel traﬃc shaping policy named the Quasi-Deterministic-Transmission-Policy (QDTP) which has been proved to drastically reduce queue formation at the receiving gate-way by delaying packet departures from the IoT devices in a judicious manner. Both analytical and experimental results are summarized, that describe the beneﬁts of these techniques
Nonconvex selection in nonparametric additive models

High-dimensional data offers researchers increased ability to find useful factors in predicting a response. However, determination of the most important factors requires careful selection of the explanatory variables. In order to tackle this challenge, much work has been done on single or grouped variable selection under the penalized regression framework. Although the topic of variable selection has been extensively studied under the parametric framework, its extensions to more flexible nonparametric models are yet to be explored. In order to implement the variable selection in nonparametric additive models, I introduce and study two nonconvex selection methods under the penalized regression framework, namely the group MCP and the adaptive group LASSO, aiming at improvements on the selection performances of the more widely known group LASSO method in such models. One major part of the dissertation focuses on the theoretical properties of the group MCP and the adaptive group LASSO. I derive their selection and estimation properties. The application of the presently proposed methods to nonparametric additive models are further examined using simulation. Their applications to areas such as the economics and genomics are presented as well. Under both the simulation studies and data applications, the group MCP and the adaptive group LASSO have shown their advantages over the more traditionally used group LASSO method. For the proposed adaptive group LASSO that uses the newly proposed weights,
The effect of nutritional status on myogenic gene expression of satellite cells derived from different muscle types 1

Satellite cells (SC) are a multipotential stem cell population responsible for facilitating posthatch muscle fiber hypertrophy. The proliferation and differentiation of SC is sensitive to nutritional regimen, and the SC response to nutrition varies depending upon their muscle type of origin. The objective of the current study was to determine the effect of altering protein synthesis on the expression of several key genes regulating SC activity and the effect of muscle type. Satellite cells isolated from the fast glycolytic pectoralis major and the fast oxidative and glycolytic biceps femoris were studied. These genes included the myogenic regulatory factors myogenic determination factor 1 (MyoD) and myogenin, the cell-membrane associated proteoglycans syndecan-4 and glypican-1, the extracellular matrix proteoglycan decorin, and the transcription factor paired box 7. Protein synthesis potential varied by the concentration of the sulfur amino acids Met and Cys during SC proliferation and differentiation. The SC were cultured and treated with 1 of 6 Met/Cys concentrations: 60/192, 30/96 (control), 7.5/24, 3.0/9.6, 1.0/3.2, or 0/0 mg/L. A consistent pattern of gene expression emerged following Met/Cys manipulation as increasing reductions in mRNA expression for all genes were observed as Met/Cys concentration decreased, whereas increased Met/Cys concentration caused either no change or had a small negative effect on mRNA expression. Reduced paired box 7 expression would limit myogenic specification of SC, whereas decreased myogenic regulatory factor expression would affect subsequent myogenic development of the SC. Decreased levels of decorin affect SC response to growth factors like myostatin and transforming growth factor β, and extracellular matrix organization. These data highlight the importance of nutrition on the expression of genes critical for satellite cell activation, proliferation and differentiation, and growth factor signal transduction.
GALACTIC COSMIC RAYS-CLOUDS EFFECT AND BIFURCATION MODEL OF EARTH GLOBAL CLIMATE

The possible physical linkage between the cosmic rays − cloud and indirect aerosol effects is discussed using the analysis of the first indirect aerosol effect (Twomey effect) and its experimental representation as the dependence of mean cloud droplet effective radius versus aerosol index defining the column aerosol number. It is shown that the main kinetic equation of Earth climate energy-balance model is described by the bifurcation equation (relative to the surface temperature of the Earth) in the form of fold catastrophe with two controlling parameters defining the variations of insolation and Earth magnetic field (or cosmic rays intensity in the atmosphere) respectively. The results of comparative analysis on the time-dependent solution of Earth climate energy-balance model taking into account nontrivial role of galactic cosmic rays and the known experimental data on the paleotemperature from the Vostoc ice core are presented. In the framework of the bifurcation model (i) the possibility of abrupt glacial climate changes analogous to the Dansgaard-Oeschger events due to stochastic resonance is theoretically argued, (ii) the concept of the climatic sensitivity of water (vapour and liquid) in the atmosphere is introduced. This concept reveals the property of temperature instability in the form of so-called hysteresis loop. On the basis of this concept it is shown that the simulated time series of global ice volume over the past 730 kyr are in good agreement with time series of seawater  18 O (ice volume proxy). (iii) Also, the so-called "doubling CO 2 " problem is
Sliding-mode control of a wind turbine-driven double-fed induction generator under non-ideal grid voltages

: Control algorithms for the rotor- and grid-side power converters of a double-fed induction generator (DFIG)-based wind turbine under non-ideal grid voltage conditions are proposed, and guidelines for tuning the controller parameters are presented. The control schemes are based on sliding-mode control (SMC) theory. Apart from directly controlling the DFIG ’ s average active and reactive powers, the proposed methods also ful ﬁ l two additional control targets during voltage unbalance and harmonic distortion, that is, the rotor-side converter (RSC) eliminating electromagnetic torque ﬂ uctuations and the grid-side converter (GSC) compensating for the stator current harmonics to ensure a sinusoidal total current from the overall generating unit. The described control strategies are proved to be robust against parameter deviations and of fast dynamic response. In spite of the discontinuous nature of the standard SMC, constant converter switching frequency is achieved. Besides, the RSC control algorithm does not require a phase-locked loop and, furthermore, there is no need for decomposing the grid voltage and different currents into symmetrical sequences or harmonic components in any of the converters ’ control systems. Finally, the excellent performance of the system, as well as its robustness, is veri ﬁ ed by means of simulation results under different grid voltage conditions.
Divergent node cloning for sustained redundancy in

A plethora of resilience techniques have been investigated ranging from checkpoint/restart over redundancy to algorithm-based fault tolerance. Each technique works well for a different subset of application kernels, and depending on the kernel, has different overheads, resource requirements, and fault masking capabilities. If, however, such techniques are combined and they interact across kernels, new vulnerability windows are created. This work contributes the idea of end-to-end resilience by protecting windows of vulnerability between kernels guarded by different resilience techniques. It introduces the live vulnerability factor (LVF), a new metric that quantifies any lack of end-to-end protection for a given data structure. The work further promotes end-to-end application protection across kernels via a pragma-based specification, implemented as an extension to OpenMP, for diverse resilience schemes with minimal programming effort. This lifts the data protection burden from application programmers allowing them to focus solely on algorithms and performance while resilience is specified and subsequently embedded into the code through the compiler/library and supported by the runtime system. Two case studies demonstrate that end-to-end resilience meshes well with different execution paradigms and assess its overhead and effectiveness for different codes. In experiments, end-to-end resilience has an overhead over kernel-specific resilience of 1% on average.