891 resultados para Take-up rate


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An investigation of exchange market pressure against the pound sterling during the inter-war period. The main findings are that a) the behavior of UK fundamentals relative to those of the USA help to explain exchange market pressure against the pound; b) during the run up to devaluation in September 1931 the monetary authorities in the UK were acting to reduce domestic credit; but that c) additional pressure was brought against the pound from speculative sources. These findings relate to current thinking on the choice of exchange rate regime as even well behaved fundamentals may not be sufficient to sustain a currency on its peg.

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Effective strategies for patient follow-up compliance in family practice are essential for the prevention and early detection of disease with the consequences of decreasing morbidity and mortality. With effective appointment reminder systems in place, physicians can better manage the overall health of their patients by providing preventive care as well. This literature review examines intervention strategies used by the authors, the compliance rate of appointment adherence using these techniques, as well as theories relating to study outcomes. The findings of this study may be used as an educational tool by practices to suggest which intervention strategies might be the most effective for their clinic.^

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The study is a three-armed randomized controlled trial comparing values for heart rate variability (HRV), a measure of cardiovascular health, throughout a yoga intervention of breast cancer patients undergoing radiotherapy. Patients attended either a yoga (n=45), stretch, (n=46), or control (n=42) condition 3 times per week for 6 weeks of radiation. Electrocardiograms (ECGs) were conducted on each participant to provide the values necessary for HRV analysis. Analyses focused on examining scores for those participants with HRV baseline values considered to be below the cutoff point for healthy HRV levels, defined by the authors as below the cutpoint of 68 ms. From the entire sample of 133 with available baselines, 26 yogis, 26 stretchers, and 23 controls were determined to be “pathologic” in terms of HRV, and selected for follow-up analysis at 3 weeks and then again at 6 weeks. Though no statistically significant differences were found between either group means at each timepoint or group change score means, the yoga group had consistently higher mean score and mean change scores. These findings are suggestive and indicate the need to refine the use of ECGs and HRV analysis programs to more accurately and comprehensively assess the effects of yoga on cardiovascular health in cancer patients.^

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The development of nosocomial pneumonia was monitored in 96 head-trauma patients requiring mechanical ventilation for up to 10 days. Pneumonia occurred in 28 patients (29.2%) or 53.9 cases per 1,000 admission days. The incidence of nosocomial pneumonia was negatively correlated with cerebral oxygen metabolic rate (CMRO$\sb2$) measured during the first five days. The relative risk of nosocomial pneumonia for patients with CMRO$\sb2$ less than 0.6 umol/gm/min is 2.08 (1.09$-$3.98) times those patients with CMRO$\sb2$ greater than 0.6 umol/gm/min. The association between cerebral oxygen metabolic rate and nosocomial pneumonia was not affected by adjustment of potential confounding factors including age, cimetidine and other infections. These findings provide evidences underlying the CNS-immune system interaction. ^

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Gastroschisis is a birth defect in which an opening in the abdominal wall allows herniation of the viscera. Prenatal counseling regarding gastroschisis typically discusses that, although these infants often endure a difficult neonatal course, they experience few long-term complications. However, information regarding long-term outcomes is based on limited studies that lack specificity. Therefore, we aimed to study the long-term morbidity and quality of life in children born with gastroschisis in a large and diverse population drawn from the Texas Birth Defects Registry (TBDR). Study packets with informed consent, a questionnaire, and the Pediatric Quality of Life Inventory Generic Core Scale 4.0 (PedsQL 4.0) in English and Spanish were mailed to 1,112 parents of children born with isolated gastroschisis in Texas between 1999 and 2008 via the TBDR. Information was abstracted from the TBDR for 58 mothers of children with gastroschisis who returned study materials. Three hundred fifty five packets were returned to sender, giving a response rate of 7.7%. Children born with gastroschisis had quality of life scores that were not significantly different than expected (p = 0.981). However, factors such as having a learning disability (p = 0.001) and missing school due to gastrointestinal issues (p = 0.020) were found to significantly decrease quality of life. Overall, children with gastroschisis had a significantly increased risk for learning disabilities regardless of whether they were preterm (p = 0.021) or full term (p = 0.021). Additionally, there appeared to be an increased risk for auditory impairment in Caucasian children (p < 0.0005). Therefore, while overall long-term quality of life is not significantly altered for children born with gastroschisis, the previously unreported increased risk for learning disabilities and possible association with hearing impairment are important findings that should be conveyed to prospective parents.

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This study analyzed the relationship between fasting blood glucose (FBG) and 8-year mortality in the Hypertension Detection Follow-up Program (HDFP) population. Fasting blood glucose (FBG) was examined both as a continuous variable and by specified FBG strata: Normal (FBG 60–100 mg/dL), Impaired (FBG ≥100 and ≤125 mg/dL), and Diabetic (FBG>125 mg/dL or pre-existing diabetes) subgroups. The relationship between type 2 diabetes was examined with all-cause mortality. This thesis described and compared the characteristics of fasting blood glucose strata by recognized glucose cut-points; described the mortality rates in the various fasting blood glucose strata using Kaplan-Meier mortality curves, and compared the mortality risk of various strata using Cox Regression analysis. Overall, mortality was significantly greater among Referred Care (RC) participants compared to Stepped Care (SC) {HR = 1.17; 95% CI (1.052,1.309); p-value = 0.004}, as reported by the HDFP investigators in 1979. Compared with SC participants, the RC mortality rate was significantly higher for the Normal FBG group {HR = 1.18; 95% CI (1.029,1.363); p-value = 0.019} and the Impaired FBG group, {HR = 1.34; 95% CI (1.036,1.734); p-value = 0.026,}. However, for the diabetic group, 8-year mortality did not differ significantly between the RC and SC groups after adjusting for race, gender, age, smoking status among Diabetic individuals {HR = 1.03; 95% CI (0.816,1.303); p-value = 0.798}. This latter finding is possibly due to a lack of a treatment difference of hypertension among Diabetic participants in both RC and SC groups. The largest difference in mortality between RC and SC was in the Impaired subgroup, suggesting that hypertensive patients with FBG between 100 and 125 mg/dL would benefit from aggressive antihypertensive therapy.^

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With most clinical trials, missing data presents a statistical problem in evaluating a treatment's efficacy. There are many methods commonly used to assess missing data; however, these methods leave room for bias to enter the study. This thesis was a secondary analysis on data taken from TIME, a phase 2 randomized clinical trial conducted to evaluate the safety and effect of the administration timing of bone marrow mononuclear cells (BMMNC) for subjects with acute myocardial infarction (AMI).^ We evaluated the effect of missing data by comparing the variance inflation factor (VIF) of the effect of therapy between all subjects and only subjects with complete data. Through the general linear model, an unbiased solution was made for the VIF of the treatment's efficacy using the weighted least squares method to incorporate missing data. Two groups were identified from the TIME data: 1) all subjects and 2) subjects with complete data (baseline and follow-up measurements). After the general solution was found for the VIF, it was migrated Excel 2010 to evaluate data from TIME. The resulting numerical value from the two groups was compared to assess the effect of missing data.^ The VIF values from the TIME study were considerably less in the group with missing data. By design, we varied the correlation factor in order to evaluate the VIFs of both groups. As the correlation factor increased, the VIF values increased at a faster rate in the group with only complete data. Furthermore, while varying the correlation factor, the number of subjects with missing data was also varied to see how missing data affects the VIF. When subjects with only baseline data was increased, we saw a significant rate increase in VIF values in the group with only complete data while the group with missing data saw a steady and consistent increase in the VIF. The same was seen when we varied the group with follow-up only data. This essentially showed that the VIFs steadily increased when missing data is not ignored. When missing data is ignored as with our comparison group, the VIF values sharply increase as correlation increases.^

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Electrical synapses formed of the gap junction protein Cx36 show a great deal of functional plasticity, much dependent on changes in phosphorylation state of the connexin. However, gap junction turnover may also be important for regulating cell-cell communication, and turnover rates of Cx36 have not been studied. Connexins have relatively fast turnover rates, with short half-lives measured to be 1.5 to 3.5 hours in pulse-chase analyses of connexins (Cx26 and Cx43) in tissue culture cells and whole organs. We utilized HaloTag technology to study the turnover rate of Cx36 in transiently transfected HeLa cells. The HaloTag protein forms irreversible covalent bonds with chloroalkane ligands, allowing pulse-chase experiments to be performed very specifically. The HaloTag open reading frame was inserted into an internal site in the C-terminus of Cx36 designed not to disrupt the regulatory phosphorylation sites and not to block the C-terminal PDZ interaction motif. Functional properties of Cx36-Halo were assessed by Neurobiotin tracer coupling, live cell imaging, and immunostaining. For the pulse-chase study, transiently transfected HeLa cells were pulse labeled with Oregon Green (OG) HaloTag ligand and chase labeled at various times with tetramethylrhodamine (TMR) HaloTag ligand. Cx36-Halo formed large junctional plaques at sites of contact between transfected HeLa cells and was also contained in a large number of intracellular vesicles. The Cx36-Halo transfected HeLa cells supported Neurobiotin tracer coupling that was regulated by activation and inhibition of PKA in the same manner as wild-type Cx36 transfected cells. In the pulse-chase study, junctional protein labeled with the pulse ligand (OG) was gradually replaced by newly synthesized Cx36 labeled with the chase ligand (TMR). The half-life for turnover of protein in junctional plaques was 2.8 hours. Treatment of the pulse-labeled cells with Brefeldin A (BFA) prevented the addition of new connexins to junctional plaques, suggesting that the assembly of Cx36 into gap junctions involves the traditional ER-Golgi-TGN-plasma membrane pathway. In conclusion, Cx36-Halo is functional and has a turnover rate in HeLa cells similar to that of other connexins that have been studied. This turnover rate is likely too slow to contribute substantially to short-term changes in coupling of neurons driven by transmitters such as dopamine, which take minutes to achieve. However, turnover may contribute to longer-term changes in coupling.

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We carried out short term pCO2/pH perturbation experiments in the coastal waters of the South China Sea to evaluate the combined effects of seawater acidification (low pH/high pCO2) and solar UV radiation (UVR, 280-400 nm) on photosynthetic carbon fixation of phytoplankton assemblages. Under photosynthetically active radiation (PAR) alone treatments, reduced pCO2 (190 ppmv) with increased pH resulted in a significant decrease in the photosynthetic carbon fixation rate (about 23%), while enriched pCO2 (700 ppmv) with lowered pH had no significant effect on the photosynthetic performance compared to the ambient level. The apparent photosynthetic efficiency decreased under the reduced pCO2 level, probably due to C-limitation as well as energy being diverged for up-regulation of carbon concentrating mechanisms (CCMs). In the presence of UVR, both UV-A and UV-B caused photosynthetic inhibition, though UV-A appeared to enhance the photosynthetic efficiency under lower PAR levels. UV-B caused less inhibition of photosynthesis under the reduced pCO2 level, probably because of its contribution to the inorganic carbon (Ci)-acquisition processes. Under the seawater acidification conditions (enriched pCO2), both UV-A and UV-B reduced the photosynthetic carbon fixation to higher extents compared to the ambient pCO2 conditions. We conclude that solar UV and seawater acidification could synergistically inhibit photosynthesis.

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Mesozooplankton is collected by vertical tows within the Black sea water body mass layer in the NE Aegean, using a WP-2 200 µm net equipped with a large non-filtering cod-end (10 l). Macrozooplankton organisms are removed using a 2000 µm net. A few unsorted animals (approximately 100) are placed inside several glass beaker of 250 ml filled with GF/F or 0.2 µm Nucleopore filtered seawater and with a 100 µm net placed 1 cm above the beaker bottom. Beakers are then placed in an incubator at natural light and maintaining the in situ temperature. After 1 hour pellets are separated from animals and placed in separated flasks and preserved with formalin. Pellets are counted and measured using an inverted microscope. Animals are scanned and counted using an image analysis system. Carbon- Specific faecal pellet production is calculated from a) faecal pellet production, b) individual carbon: Animals are scanned and their body area is measured using an image analysis system. Body volume is then calculated as an ellipsoid using the major and minor axis of an ellipse of same area as the body. Individual carbon is calculated from a carbon- total body volume of organisms (relationship obtained for the Mediterranean Sea by Alcaraz et al. (2003) divided by the total number of individuals scanned and c) faecal pellet carbon: Faecal pellet length and width is measured using an inverted microscope. Faecal pellet volume is calculated from length and width assuming cylindrical shape. Conversion of faecal pellet volume to carbon is done using values obtained in the Mediterranean from: a) faecal pellet density 1,29 g cm**3 (or pg µm**3) from Komar et al. (1981); b) faecal pellet DW/WW=0,23 from Elder and Fowler (1977) and c) faecal pellet C%DW=25,5 Marty et al. (1994).

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Heterocystous cyanobacteria of the genus Nodularia form extensive blooms in the Baltic Sea and contribute substantially to the total annual primary production. Moreover, they dispense a large fraction of new nitrogen to the ecosystem when inorganic nitrogen concentration in summer is low. Thus, it is of ecological importance to know how Nodularia will react to future environmental changes, in particular to increasing carbon dioxide (CO2) concentrations and what consequences there might arise for cycling of organic matter in the Baltic Sea. Here, we determined carbon (C) and dinitrogen (N2) fixation rates, growth, elemental stoichiometry of particulate organic matter and nitrogen turnover in batch cultures of the heterocystous cyanobacterium Nodularia spumigena under low (median 315 µatm), mid (median 353 µatm), and high (median 548 µatm) CO2 concentrations. Our results demonstrate an overall stimulating effect of rising pCO2 on C and N2 fixation, as well as on cell growth. An increase in pCO2 during incubation days 0 to 9 resulted in an elevation in growth rate by 84 ± 38% (low vs. high pCO2) and 40 ± 25% (mid vs. high pCO2), as well as in N2 fixation by 93 ± 35% and 38 ± 1%, respectively. C uptake rates showed high standard deviations within treatments and in between sampling days. Nevertheless, C fixation in the high pCO2 treatment was elevated compared to the other two treatments by 97% (high vs. low) and 44% (high vs. mid) at day 0 and day 3, but this effect diminished afterwards. Additionally, elevation in carbon to nitrogen and nitrogen to phosphorus ratios of the particulate biomass formed (POC : POP and PON : POP) was observed at high pCO2. Our findings suggest that rising pCO2 stimulates the growth of heterocystous diazotrophic cyanobacteria, in a similar way as reported for the non-heterocystous diazotroph Trichodesmium. Implications for biogeochemical cycling and food web dynamics, as well as ecological and socio-economical aspects in the Baltic Sea are discussed.

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The copepod Ingestion on ciliates, phytoplankton and the copepod production dataset is based on samples taken during April 2008 in Dardanelles Straits, Marmara Sea and Bosporus Straits at the third priority stations. These experiments were set up according to DoW of Sesame project. Copepods for the experiments were obtained with slow non-quantitative tows from the upper 50 m layer of the water column using 200 µm mesh size nets fitted with a large non-filtering cod end. For the grazing experiments we used the following copepod species: Centropages typicus and Acartia clausi according to the relevant reference (Bamstedt et al. 2000). Copepod clearance rates on ciliates were calculated according to Frost equations (Frost 1972). Ingestion rates were calculated by multiplying clearance rates by the initial standing stocks (Bamstedt et al. 2000). Egg production rates of the dominant calanoid copepods were determined by incubation of fertilised females (eggs/female/day) collected in the 0-20m layer. Copepod egg production was measured for the copepods Centropages typicus and Acartia clausi. On board experiments for the estimation of copepod egg production were taken place. For the estimation of copepod production (mg/m**2/day), lengths (copepods and eggs) were converted to body carbon (Hopcroft et al., 1998) and production was estimated from biomass and weight-specific egg production rates, by assuming that those rates are representative for juvenile specific growth rates (Berggreen et al., 1988).

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The SES_UNLUATA_GR1-Mesozooplankton faecal pellet production rates dataset is based on samples taken during March and April 2008 in the Northern Libyan Sea, Southern Aegean Sea and in the North-Eastern Aegean Sea. Mesozooplankton is collected by vertical tows within the 0-100 m layer or within the Black sea water body mass layer in the case of the NE Aegean, using a WP-2 200 µm net equipped with a large non-filtering cod-end (10 l). Macrozooplankton organisms are removed using a 2000 µm net. A few unsorted animals (approximately 100) are placed inside several glass beaker of 250 ml filled with GF/F or 0.2 µm Nucleopore filtered seawater and with a 100 µm net placed 1 cm above the beaker bottom. Beakers are then placed in an incubator at natural light and maintaining the in situ temperature. After 1 hour pellets are separated from animals and placed in separated flasks and preserved with formalin. Pellets and are counted and measured using an inverted microscope. Animals are scanned and counted using an image analysis system. Carbon- Specific faecal pellet production is calculated from a) faecal pellet production, b) individual carbon: Animals are scanned and their body area is measured using an image analysis system. Body volume is then calculated as an ellipsoid using the major and minor axis of an ellipse of same area as the body. Individual carbon is calculated from a carbon- total body volume of organisms (relationship obtained for the Mediterranean Sea by Alcaraz et al. (2003) divided by the total number of individuals scanned and c) faecal pellet carbon: Faecal pellet length and width is measured using an inverted microscope. Faecal pellet volume is calculated from length and width assuming cylindrical shape. Conversion of faecal pellet volume to carbon is done using values obtained in the Mediterranean from: a) faecal pellet density 1,29 g cm**3 (or pg µm**3) from Komar et al. (1981); b) faecal pellet DW/WW=0,23 from Elder and Fowler (1977) and c) faecal pellet C%DW=25,5 Marty et al. (1994).

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The SES_GR1-Mesozooplankton faecal pellet production rates dataset is based on samples taken during April 2008 in the North-Eastern Aegean Sea. Mesozooplankton is collected by vertical tows within the Black sea water body mass layer in the NE Aegean, using a WP-2 200 µm net equipped with a large non-filtering cod-end (10 l). Macrozooplankton organisms are removed using a 2000 µm net. A few unsorted animals (approximately 100) are placed inside several glass beaker of 250 ml filled with GF/F or 0.2 µm Nucleopore filtered seawater and with a 100 µm net placed 1 cm above the beaker bottom. Beakers are then placed in an incubator at natural light and maintaining the in situ temperature. After 1 hour pellets are separated from animals and placed in separated flasks and preserved with formalin. Pellets are counted and measured using an inverted microscope. Animals are scanned and counted using an image analysis system. Carbon- Specific faecal pellet production is calculated from a) faecal pellet production, b) individual carbon: Animals are scanned and their body area is measured using an image analysis system. Body volume is then calculated as an ellipsoid using the major and minor axis of an ellipse of same area as the body. Individual carbon is calculated from a carbon- total body volume of organisms (relationship obtained for the Mediterranean Sea by Alcaraz et al. (2003) divided by the total number of individuals scanned and c) faecal pellet carbon: Faecal pellet length and width is measured using an inverted microscope. Faecal pellet volume is calculated from length and width assuming cylindrical shape. Conversion of faecal pellet volume to carbon is done using values obtained in the Mediterranean from: a) faecal pellet density 1,29 g cm**3 (or pg µm**3) from Komar et al. (1981); b) faecal pellet DW/WW=0,23 from Elder and Fowler (1977) and c) faecal pellet C%DW=25,5 Marty et al. (1994).