Miracle-dz/UniFAR-FTUs huggingface dataset:
Breastfeeding and postpartum weight retention in a cohort of Brazilian women.

BACKGROUND The relation between postpartum weight retention and breastfeeding practices is controversial. OBJECTIVE Defining breastfeeding as the period when a child is exclusively or predominantly breastfed, we studied the association between breastfeeding duration and postpartum weight retention. DESIGN We followed 405 women aged 18-45 y who were assessed at 0.5, 2, 6, and 9 mo postpartum. The outcome variable, postpartum weight retention, was expressed as the difference between the observed weight at each follow-up and the reported prepregnancy weight. The main statistical procedure used was the longitudinal mixed-effects model. RESULTS Mean postpartum weight retention at the end of the study was 3.1 kg. Single women aged > or = 30 y retained more weight than did younger single women or married women. The combined effect of breastfeeding duration and percentage of body fat at baseline was significant only for women with < 30% body fat. According to the model's prediction, when women who had 22% body fat and breastfed for 180 d were compared with those who had 22% body fat and breastfed for only 30 d, each month of breastfeeding contributed -0.44 kg to postpartum weight retention. When only the percentage of body fat was varied, the total effect was 3.0, 1.7, 1.2, and 0.04 kg in women with 18%, 25%, 28%, and 35% body fat, respectively. CONCLUSIONS These results support the hypothesis of an association between breastfeeding and postpartum weight retention and suggest that encouraging prolonged breastfeeding might contribute to decreases in postpartum weight retention.
Crystalline silicon solar cells with selective emitter and the self-doping contact

The advantages of the solar energy are: • In practice it is available without limits; • Using this energy we can save fossile energy-sources for other needful applications; • Environment-friendly, it does not contribute to global warming. Photovoltaic systems convert directly the radiance of the Sun to electric power by solar cells, therefore they are very attractive energy sources, because they do not generate any pollution during operation. Their lifetime can be as long as 20-30 years and they need very little maintenance that consists of almost only keeping their surface clean. For crystalline and multicrystalline silicon solar cells one research trend of the current is to prepare the front side contacts such way that optimizes the solar cell parameters. The main problem is the following. For the best solar cell parameters a low doped and shallow (so with high square resistivity) n-type silicon layer is necessary on the top of a p-type layer, altough on such layer we cannot prepare a good ohmic metal contact. For a good ohmic contact a highly doped and deeper (so with low sqare resistivity) n-type layer is required. One solution for this problem is the use of selective emitter instead of homogeneous emitter. This metallization technology creates a highly doped layer under the contact, and a low-doped layer between the contacts, so both requirements are satisfied, and the efficiency of the solar cells increases as compared to the ones with homogeneous emitter. Today for commercial crystalline and multicrystalline solar cells the manufacturers are using the screen printing technology for metallization, because it is simple and cheap. An important research trend is the improving and optimizing of this or other inexpensive technologies to make the production of solar cells more and more cheap. Hence it is worthwile to use this technology also for solar cell prototypes for research aimed as increasing the efficiency so that both research trends could achieve the aims after a successful cell improvement. In this article after a short explaining of the basic terms in this section, we look on the theory of selective emitter and its realized technologies in the 2nd section, and in the 3rd section we examine the theory and realization of the self-doping metallization technology.
Effect of Autologus Platelet-Rich Plasma on IL-6, MMP-3 and MCP-1 Expression in Synoviocytes from Osteoarthritic Patients Knees

Nowadays, some studies reported promising results of platelet-rich plasma (PRP) for the treatment of osteoarthritis (OA). However, the effects of PRP on prevention of osteoarthritis in knee joints have been debated. The present study investigated the effects of PRP on osteoarthritis related inflammatory cytokines expressed in fibroblast-like synoviocytes (FLS) from osteoarthritic knees. The synovial tissues were harvested from eight osteoarthritic patients who had undertaken total knee arthroplasties (TKAs) and cultured in DMEM containing 10% FBS. Platelet-rich plasma releasate (PRPr) was made by clotting or activation of PRP by citrate. The levels of PDGF-AA and VEGF in PRPr and whole blood were measured with ELISA method. The FLS were isolated and cultured from osteoarthritic knees. The IL-1β stimulated FLS were cultivated with three different conditions (none, 1% and 10% of PRP). To determine the expression of IL-6, MMP-3, and MCP-1, we used reverse transcriptase polymerase chain reaction (RT-PCR). The concentrations of platelet count in PRP were about 7 to 9 times higher than those of whole blood. The levels of PDGF-AA in PRPr were approximately 3 to 4 times higher than those of whole blood. The levels of VEGF in PRPr were also significantly 7 to 18 times higher than those of whole blood. Without induction of the FLS with IL-1β, 1% or 10% PRPr did not reduce expressions of inflammatory proteins (MMP-3, MCP-1), except for IL-6. However, with induction of the FLS with IL-1β, both concentrations (1% and 10%) of PRPr reduced significantly all inflammatory protein expressions (IL-6, MMP-3, MCP-1). PRPr diminished inflammatory IL-1β-mediated effects on human osteoarthritic fibroblast-like synoviocytes. These results suggest that platelet-rich plasma can be a good therapeutic option for the treatment of osteoarthritis.
Probabilistic estimation of respiratory rate using Gaussian processes

The presence of respiratory information within the electrocardiogram (ECG) signal is a well-documented phenomenon. We present a Gaussian process framework for the estimation of respiratory rate from the different sources of modulation in a single-lead ECG. We propose a periodic covariance function to model the frequency- and amplitude-modulation time series derived from the ECG, where the hyperparameters of the process are used to derive the respiratory rate. The approach is evaluated using data taken from 40 healthy subjects each with 2 hours of monitoring, containing ECG and respiration waveforms. Results indicate that the accuracy of our proposed method is comparable with that of existing methods, but with the advantages of a principled probabilistic approach, including the direct quantification of the uncertainty in the estimation.
A lognormal central limit theorem for particle approximations of normalizing constants

Feynman-Kac path integration models arise in a large variety of scientic disciplines including physics, chemistry and signal processing. Their mean eld particle interpretations, termed Diusion or Quantum Monte Carlo methods in physics and Sequential Monte Carlo or Particle Filters in statistics and applied probability, have found numerous applications as they allow to sample approximately from sequences of complex probability distributions and estimate their associated normalizing constants.This article focuses on the lognormal fuctuations of these normalizing constant estimates when both the time horizon n and the number of particles N go to innity in such a way that n/N tends to some number between 0 and 1. To the best of our knowledge, this is the first result of this type for mean field type interacting particle systems. We also discuss special classes of models, including particle absorption models in time-homogeneous environment and hidden Markov models in ergodic random environment, for which more explicit descriptions of the limiting bias and variance can be obtained.
An empirical test of the Three-Step Theory (3ST) of suicide in U.K. university students

The purpose of this study was to further our understanding of how individuals move down the pathway from first thinking about suicide to ultimately attempting to take their own lives by empirically testing the Three-Step Theory (3ST) in a sample of university students (n=665). Results largely support the theory’s central propositions. First, an interactive model of pain and hopelessness accounted for substantial variance in suicidal desire. This result replicated in both men and women, and across age groups (i.e., below 35 and at or above 35). Also, as predicted, connectedness was protective against ideation in those high on both pain and hopelessness. However, contrary to our prediction, connectedness was similarly protective among everyone else. Finally, suicide capacity predicted suicide attempt history over and above current and lifetime suicidal ideation. These findings provide further support the 3ST.
Ontogenetic development of intestinal digestive functions in White Pekin ducks.

The ontogenetic development of intestinal digestive functions for avian species other than the domesticated chicken are not well documented. Therefore, this study was conducted to resolve the developmental patterns of some intestinal digestive functions in White Pekin ducks. The ducks were killed and their intestines harvested when they were 1, 3, 5 and 7 wk old. Several small intestinal tissue characteristics, sucrase and alkaline phosphatase (ALP) activities of homogenates from the small intestine mucosa were measured, and the small intestinal L-threonine uptake capacities were estimated with brush border membrane vesicles prepared from the corresponding age groups. Between 1 wk (0.37 +/- 0.04 kg) and 7 wk (3.79 +/- 0.06), posthatch ducks exhibited relative body growth rates of 352, 77 and 28% from 1 to 3, 3 to 5 and 5 to 7 wk, respectively. Allometric changes in small intestine weight indicated that the small intestine grew in direct proportion to the duck's metabolic body weight. Total homogenate sucrase activity per unit body weight did not differ (P > 0.05) among the age groups studied. Total homogenate ALP activity per body weight was lower at 3 wk than at 1 wk (P < 0.05) but did not differ (P > 0.05) among 3, 5 and 7 wk-old ducks. The development pattern of L-threonine uptake capacities normalized to body weights paralleled the course of relative body growth rates.
Decreased Gene Expressions of Insulin Signal Molecules in Canine Hyperadrenocorticism

ABSTRACT Hyperadrenocorticism (HAC) is a common endocrine disorder in dogs, in which excess glucocorticoid causes insulin resistance. Disturbance of insulin action may be caused by multiple factors, including transcriptional modulation of insulin signal molecules which lie downstream of insulin binding to insulin receptors. In this study, gene expressions of insulin signal molecules were examined using neutrophils of the HAC dogs (the untreated dogs and the dogs which had been treated with trilostane). Insulin receptor substrate (IRS)-1, IRS-2, phosphatidylinositol 3-kinase (PI3-K), protein kinase B/Akt kinase (Akt)-2 and protein kinase C (PKC)-lambda were analyzed in the HAC dogs and compared with those from normal dogs. The IRS-1 gene expressions decreased by 37% and 35% of the control dogs in the untreated and treated groups, respectively. The IRS-2 gene expressions decreased by 61% and 72%, the PI3-K gene expressions decreased by 47% and 55%, and the Akt-2 gene expressions decreased by 45% and 56% of the control dogs, similarly. Collectively, gene expressions of insulin signal molecules are suppressed in the HAC dogs, which may partially contribute to the induction of insulin resistance.
A Community-Driven Approach to Generate Urban Policy Recommendations for Obesity Prevention

There is an increasing research interest in targeting interventions at the neighborhood level to prevent obesity. Healthy urban environments require including residents’ perspectives to help understanding how urban environments relate to residents’ food choices and physical activity levels. We describe an innovative community-driven process aimed to develop environmental recommendations for obesity prevention. We conducted this study in a low-income area in Madrid (Spain), using a collaborative citizen science approach. First, 36 participants of two previous Photovoice projects translated their findings into policy recommendations, using an adapted logical framework approach. Second, the research team grouped these recommendations into strategies for obesity prevention, using the deductive analytical strategy of successive approximation. Third, through a nominal group session including participants, researchers, public health practitioners and local policy-makers, we discussed and prioritized the obesity prevention recommendations. Participants identified 12 policy recommendations related to their food choices and 18 related to their physical activity. The research team grouped these into 11 concrete recommendations for obesity prevention. The ‘top-three’ ranked recommendations were: (1) to adequate and increase the number of public open spaces; (2) to improve the access and cost of existing sports facilities and (3) to reduce the cost of gluten-free and diabetic products.
Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models.

BACKGROUND Skeletal muscle (SM) is a large body compartment of biological importance, but it remains difficult to quantify SM with affordable and practical methods that can be applied in clinical and field settings. OBJECTIVE The objective of this study was to develop and cross-validate anthropometric SM mass prediction models in healthy adults. DESIGN SM mass, measured by using whole-body multislice magnetic resonance imaging, was set as the dependent variable in prediction models. Independent variables were organized into 2 separate formulas. One formula included mainly limb circumferences and skinfold thicknesses [model 1: height (in m) and skinfold-corrected upperarm, thigh, and calf girths (CAG, CTG, and CCG, respectively; in cm)]. The other formula included mainly body weight (in kg) and height (model 2). The models were developed and cross-validated in nonobese adults [body mass index (in kg/m(2)) < 30]. RESULTS Two SM (in kg) models for nonobese subjects (n = 244) were developed as follows: SM = Ht x (0.00744 x CAG(2) + 0.00088 x CTG(2) + 0.00441 x CCG(2)) + 2.4 x sex - 0.048 x age + race + 7.8, where R:(2) = 0.91, P: < 0.0001, and SEE = 2.2 kg; sex = 0 for female and 1 for male, race = -2.0 for Asian, 1.1 for African American, and 0 for white and Hispanic, and SM = 0.244 x BW + 7.80 x Ht + 6.6 x sex - 0.098 x age + race - 3.3, where R:(2) = 0.86, P: < 0.0001, and SEE = 2.8 kg; sex = 0 for female and 1 for male, race = -1.2 for Asian, 1.4 for African American, and 0 for white and Hispanic. CONCLUSION These 2 anthropometric prediction models, the first developed in vivo by using state-of-the-art body-composition methods, are likely to prove useful in clinical evaluations and field studies of SM mass in nonobese adults.
The Effect of Previous Wingate Performance Using one Body Region on Subsequent Wingate Performance Using a Different Body Region

Abstract The 30 second Wingate Anaerobic Test (WAnT) is the gold standard measure of anaerobic performance. The present investigation aimed to determine if a previous WAnT using one body region significantly affected a subsequent WAnT using a different body region. Twelve male university students (n = 12, 23 ± 2 years, 84 ± 16.1 kg, 178.5 ± 7.4 cm) volunteered to complete two repeated WAnT protocols (either lower body WAnT followed by an upper body WAnT or vice versa) on two separate testing occasions. The upper body WAnT was conducted on a modified electromagnetically braked cycle ergometer using a flywheel braking force corresponding to 5% bodyweight. The lower body WAnT was conducted on an electronically braked cycle ergometer using a flywheel braking force corresponding to 7.5% bodyweight. Participants had a 1 minute rest period for transition between WAnTs. Data are reported as mean ± standard deviation. No significant differences were identified in power indices for the lower body between 30 s WAnTs. When the upper body WAnT was performed 2nd, absolute peak power (p < 0.01), mean power (p < 0.001) and relative mean power (p < 0.001) were significantly lower compared to when the upper body WAnT was performed 1st. The value of maximum revolutions per minute was significantly lower (p < 0.001) when the upper body WAnT was performed after the lower body WAnT, compared to when it was performed 1st (193.3 ± 11.4 1st vs 179.8 ± 14.4 2nd). Previous upper body sprint exercise does not significantly affect lower body sprint exercise; however, previous lower body sprint exercise severely compromises subsequent upper body sprint performance.
The diagnostic criteria for iron deficiency in infants should be reevaluated.

Diagnostic criteria for iron deficiency (ID) and iron deficiency anemia (IDA) in infants are poorly defined. Our aim was to establish appropriate cut-off values for hemoglobin (Hb), plasma ferritin, erythrocyte mean cell volume (MCV), zinc protoporphyrin (ZPP) and soluble transferrin receptors (TfR) in infancy. Exclusively breast-fed infants (n = 263) in Honduras and Sweden were randomly assigned to receive iron supplementation or placebo, and blood samples were obtained at 4, 6 and 9 mo of age. Reference ranges were determined using three different approaches for defining iron-replete infants. The usefulness of several variables for predicting the Hb response to iron was evaluated. We found the following 2 SD cut-off values in iron-replete infants: Hb <105 g/L at 4-6 mo and <100 g/L at 9 mo; ZPP >75 micro mol/mol heme at 4-6 mo and >90 micro mol/mol heme at 9 mo; ferritin <20 micro g/L at 4 mo, <9 micro g/L at 6 mo and <5 micro g/L at 9 mo; and TfR >11 mg/L at 4-9 mo. The Hb response to iron was not a useful definition of IDA at 4 mo of age. Hb, MCV and ZPP at 6 mo as well as growth variables predicted the Hb response at 6-9 mo, but ferritin and TfR at 6 mo did not. We conclude that there is need for a reevaluation of the definitions of ID and IDA in infants.
Iron supplementation during pregnancy, anemia, and birth weight: a randomized controlled trial.

BACKGROUND The need for prophylactic iron during pregnancy is uncertain. OBJECTIVE We tested the hypothesis that administration of a daily iron supplement from enrollment to 28 wk of gestation to initially iron-replete, nonanemic pregnant women would reduce the prevalence of anemia at 28 wk and increase birth weight. DESIGN Between June 1995 and September 1998, 513 low-income pregnant women in Cleveland were enrolled in the study before 20 wk of gestation. Of these, 275 had a hemoglobin concentration >/= 110 g/L and a ferritin concentration >/= 20 micro g/L and were randomly assigned to receive a monthly supply of capsules containing either 30 mg Fe as ferrous sulfate or placebo until 28 wk of gestation. At 28 and 38 wk of gestation, women with a ferritin concentration of 12 to < 20 micro g/L or < 12 micro g/L received 30 and 60 mg Fe/d, respectively, regardless of initial assignment. Almost all the women received some supplemental iron during pregnancy. We obtained infant birth weight and gestational age at delivery for 117 and 96 of the 146 and 129 women randomly assigned to receive iron and placebo, respectively. RESULTS Compared with placebo, iron supplementation from enrollment to 28 wk of gestation did not significantly affect the overall prevalence of anemia or the incidence of preterm births but led to a significantly higher mean (+/- SD) birth weight (206 +/- 565 g; P = 0.010), a significantly lower incidence of low-birth-weight infants (4% compared with 17%; P = 0.003), and a significantly lower incidence of preterm low-birth-weight infants (3% compared with 10%; P = 0.017). CONCLUSION Prenatal prophylactic iron supplementation deserves further examination as a measure to improve birth weight and potentially reduce health care costs.
Rate-Agnostic (Causal) Structure Learning

Causal structure learning from time series data is a major scientific challenge. Extant algorithms assume that measurements occur sufficiently quickly; more precisely, they assume approximately equal system and measurement timescales. In many domains, however, measurements occur at a significantly slower rate than the underlying system changes, but the size of the timescale mismatch is often unknown. This paper develops three causal structure learning algorithms, each of which discovers all dynamic causal graphs that explain the observed measurement data, perhaps given undersampling. That is, these algorithms all learn causal structure in a "rate-agnostic" manner: they do not assume any particular relation between the measurement and system timescales. We apply these algorithms to data from simulations to gain insight into the challenge of undersampling.
Vae-Space: Deep Generative Model of Voice Fundamental Frequency Contours

Modeling the speech generation process can provide flexible and interpretable ways to generate intended synthetic speech. In this paper, we present a deep generative model of fundamental frequency $(F_{0})$ contours of normal speech and singing voices. The generative model we propose in this paper 1) is able to accurately decompose an $F_{0}$ contour into the sum of phrase and accent components of the Fujisaki model, a mathematical model describing the control mechanism of vocal fold vibration, without an iterative algorithm, and 2) can represent/generate $F_{0}$ contours of both normal speech and singing voices reasonably well.
Breastfeeding in the Community: Sharing Stories on Implementations That Work

To improve equity in breastfeeding rates and eliminate breastfeeding disparities, the Centers for Disease Control and Prevention, Division of Nutrition, Physical Activity, and Obesity in 2014 funded the National Association of County and City Health Officials (NACCHO) through a cooperative agreement to implement the Reducing Disparities in Breastfeeding through Peer and Professional (Lactation) Support project (Breastfeeding Project). The purpose was to increase the implementation of evidence-based and innovative breastfeeding programs, practices, and services, specifically focusing on peer and professional lactation support for pregnant and postpartum women in predominantly African American and underserved communities with low breastfeeding rates. Between January 2015 and June 2016, NACCHO provided $2.9 million in funding through reimbursement grants and more than 1,500 hours of training and technical assistance to 69 organizations to implement 72 breastfeeding demonstration projects in 32 states and U.S. territories. This Breastfeeding Project represents the most extensive U.S.based implementation of coordinated community-level breastfeeding support projects. This overview of the Breastfeeding Project highlights the work of 19 Breastfeeding Project grantees. The goal of sharing these stories is to increase awareness of the processes, successes, and challenges of implementing and expanding access to lactation support services for families and communities that have been historically marginalized and underserved. These examples can assist other communities to design sustainable breastfeeding support programs that increase availability and accessibility to skilled lactation care to improve equity in breastfeeding care.