Range Of R-values Research Articles

Relationship between maximal oxygen uptake, within-set fatigue and between-set recovery during resistance exercise in resistance-trained men and women

BackgroundThe primary aim of this study was to examine the relationship between maximal oxygen update (V̇O2max) and within-set fatigue and between-set recovery during resistance exercise in men and women.MethodsWe examined the relationship between V̇O2max and various indices of fatigue and recovery during parallel squats (3 sets, 90 s rest, 70% of 1RM to failure) and isokinetic knee extensions (3 × 10 maximal repetitions at 60 deg/s, 45 s rest) in 28 (age 27.0 ± 3.6 years) resistance-trained subjects (14 men and 14 women). We also examined whether there were sex differences in within-set fatigue and between-set recovery.ResultsV̇O2max was weakly related to recovery and fatigue in both men and women (range of P-values for V̇O2max as a covariate; 0.312–0.998, range of R-values, 0.005–0.604). There were no differences between the sexes in fatigue within a set for the squat, but men showed less within-set fatigue than women in the first set of the isokinetic knee extension exercise (~ 8% torque loss difference, main effect of sex P = 0.034). Regarding recovery between sets, men showed greater relative peak power (P = 0.016) and peak torque (P = 0.034) loss between sets in both exercises, respectively, compared to women. Women also tended to complete more repetitions than men (main effect of sex, P = 0.057). Loss of peak torque between sets in knee extension was evident in both absolute and relative (%) values in men but not in women.ConclusionsOur study suggests that aerobic capacity is weakly associated with within-set fatigue and between-set recovery in resistance training in both men and women. Women and men show comparable levels of within-set fatigue in the multi-joint squat, but women show more within-set fatigue during the single-joint isokinetic knee extension compared with men. In contrast, women recover better than men between sets in both exercises.

GDF15 AND REDUCED PHYSICAL FUNCTION FOLLOWING TOTAL KNEE REPLACEMENT: A STUDY OF PHYSICAL RESILIENCE AND AGING

Abstract The metabolic and inflammatory cytokine growth-differentiation factor 15 (GDF15) increases with age and negatively associates with physical and cognitive function in older adults. We hypothesized GDF15 also negatively associates with resilient outcomes after surgery. This hypothesis was tested in the SPRING study of physical resiliency after total knee replacement by assessing relationships between pre-operative plasma GDF15 levels and postoperative resilience measures including short physical performance battery (SPPB) scores, fatigability, and grip strength. GDF15 analyses and physical resilience were assessed in 127 SPRING participants (age 70±6 yrs, n=83 women). Baseline GDF15 levels correlated with age (r=0.263, P< 0.05); age-adjusted analyses were applied. In total, pre-operative GDF15 levels did not significantly correlate with functional measures at any timepoint. However, in men (n=44), GDF15 levels correlated with age (r=0.408, P< 0.05) and significant age-adjusted correlations were observed in fatigue (r=0.368, P< 0.05), gait speed (r=-0.428, P< 0.05), and SPPB score (r=-0.329, P< 0.05). Additionally, GDF15 levels correlated with chair stands at six months (r=-0.398, P< 0.05), SPPB score at six months (r=-0.384, P< 0.05), and gait speed after one year (r=-0.487, P< 0.05). GDF15 did not significantly correlate with changes in SPPB score (P>0.05). There were no significant correlations between GDF15 and any of these functional measures in women (r-value range: -0.259 to 0.107; p-value range: 0.112 to 0.969). Elevated pre-operative GDF15 appears to correlate with worsening physical function following knee replacement in men, but not women. Further investigation is necessary to understand the relationship between GDF15 and the biology of physical resiliency.

Comparing position sense and isokinetic strength of the muscles of elbow joint between aikidokas and non-athlete people

BackgroundAikido is a martial art comprises of locking techniques and falls. During the locking techniques, the elbow joint is forced into extended position. Moreover, the elbow hits the ground during the falling techniques. These might compromise joint position sense (JPS). The objectives of this study were to compare JPS and strength of the muscles of elbow joint between Aikidokas and a non-athlete group and to evaluate the correlation between JPS and muscle strength among Aikidokas.MethodsAll male Jiyushinkai style Aikidokas and a healthy matched non-athlete group participated in this cross-sectional study. Passive JPS at a speed of 4°/s and the isokinetic strength of elbow flexors and extensors were assessed.ResultsEvaluating the isokinetic parameters revealed no significantly difference between the groups in either flexion or extension at speeds of 60 (P-value range: 0.2–0.99) and 120 °/s (P-value range: 0.05–0.96). Also, the groups had no significant difference regarding different types of reconstruction error including constant error (P-value range: 0.38–0.91), variable error (P-value range: 0.09–0.87), and total variability (P-value range: 0.30–0.80). Moreover, very weak to weak correlation was observed between isokinetic parameters and passive JPS (r-value range: 0.01–0.39).ConclusionsJPS was not impaired in Aikidokas in spite of the repetitive stress applied to the elbow joint during the performance of Aikido techniques. The lack of significant difference in isokinetic between Aikidokas and healthy non-athletes, and the absence of an acceptable correlation between IPS and muscle strength in Aikidokas, might be attributed to the soft nature of Aikido.

Leveraging Google Trends to identify Indonesian tuberculosis trends before and after the implementation of a national mandatory notification system

BackgroundTuberculosis (TB) burden and the underreporting of TB remain major health challenges in Indonesia. Interest in the internet is growing extensively, and the introduction of the TB mandatory electronic notification system in 2017 engaged the public's interest to leverage digital traces regarding TB information in Indonesia. ObjectiveTo quantify the correlation between Google Trends data and Indonesian TB surveillance data before and after the implementation of a mandatory TB notification system. MethodsGoogle Trends searches on TB information were used. We used two sets of time series data, including before and after the launch of the TB notification system. Pearson's correlation was used to measure the correlation between TB search terms and official TB reports. ResultsThe moving average graph showed a linear pattern of TB information with TB reports after 2017. Pearson's correlation estimated a high correlation for TB definition, TB symptoms, and official TB reports with an R-value range of 0.97 to −1.00 (p ≤ 0.05) and showed an increasing trend in TB information searching after 2016. ConclusionGoogle Trends data can depict public interest in the TB epidemic. Validation of information-searching behavior is required to advocate the implementation of Google Trends for TB digital surveillance in Indonesia.

Optimal Quantization for Some Triadic Uniform Cantor Distributions with Exact Bounds

Let $$\{S_j: 1\le j\le 3\}$$ be a set of three contractive similarity mappings such that $$S_j(x)=rx+\frac{j-1}{2}(1-r)$$ for all $$x\in {\mathbb {R}}$$ , and $$1\le j\le 3$$ , where $$0<r<\frac{1}{3}$$ . Let $$P=\sum _{j=1}^3 \frac{1}{3} P\circ S_j^{-1}$$ . Then, P is a unique Borel probability measure on $${\mathbb {R}}$$ such that P has support the Cantor set generated by the similarity mappings $$S_j$$ for $$1\le j\le 3$$ . Let $$r_0=0.1622776602$$ , and $$r_1=0.2317626315$$ (which are ten digit rational approximations of two real numbers). In this paper, for $$0<r\le r_0$$ , we give a general formula to determine the optimal sets of n-means and the nth quantization errors for the triadic uniform Cantor distribution P for all positive integers $$n\ge 2$$ . Previously, Roychowdhury gave an exact formula to determine the optimal sets of n-means and the nth quantization errors for the standard triadic Cantor distribution, i.e., when $$r=\frac{1}{5}$$ . In this paper, we further show that $$r=r_0$$ is the greatest lower bound, and $$r=r_1$$ is the least upper bound of the range of r-values to which Roychowdhury formula extends. In addition, we show that for $$0<r\le r_1$$ the quantization coefficient does not exist though the quantization dimension exists.

Pelvic incidence significance relative to spinopelvic risk factors for total hip arthroplasty instability.

Pelvic incidence (PI) is a position-independent spinopelvic parameter traditionally used by spinal surgeons to determine spinal alignment. Its relevance to the arthroplasty surgeon in assessing patient risk for total hip arthroplasty (THA) instability preoperatively is unclear. This study was undertaken to investigate the significance of PI relative to other spinopelvic parameter risk factors for instability to help guide its clinical application. Retrospective analysis was performed of a multicentre THA database of 9,414 patients with preoperative imaging (dynamic spinopelvic radiographs and pelvic CT scans). Several spinopelvic parameter measurements were made by engineers using advanced software including sacral slope (SS), standing anterior pelvic plane tilt (APPT), spinopelvic tilt (SPT), lumbar lordosis (LL), and PI. Lumbar flexion (LF) was determined by change in LL between standing and flexed-seated lateral radiographs. Abnormal pelvic mobility was defined as ∆SPT ≥ 20° between standing and flexed-forward positions. Sagittal spinal deformity (SSD) was defined as PI-LL mismatch > 10°. PI showed a positive correlation with parameters of SS, SPT, and LL (r-value range 0.468 to 0.661). Patients with a higher PI value showed higher degrees of standing LL, likely as a compensatory measure to maintain sagittal spine balance. There was a positive correlation between LL and LF such that patients with less standing LL had decreased LF (r = 0.49). Similarly, there was a positive correlation between increased SSD and decreased LF (r = 0.54). PI in isolation did not show any significant correlation with lumbar (r = 0.04) or pelvic mobility (r = 0.02). The majority of patients (range 89.4% to 94.2%) had normal lumbar and pelvic mobility regardless of the PI value. The PI value alone is not indicative of either spinal or pelvic mobility, and thus in isolation may not be a risk factor for THA instability. Patients with SSD had higher rates of spinopelvic stiffness, which may be the mechanism by which PI relates to THA instability risk, but further clinical studies are required. Cite this article: Bone Joint J2022;104-B(3):352-358.

A convolutional neural network to identify motor units from high-density surface electromyography signals in real time

Objectives. This paper aims to investigate the feasibility and the validity of applying deep convolutional neural networks (CNN) to identify motor unit (MU) spike trains and estimate the neural drive to muscles from high-density electromyography (HD-EMG) signals in real time. Two distinct deep CNNs are compared with the convolution kernel compensation (CKC) algorithm using simulated and experimentally recorded signals. The effects of window size and step size of the input HD-EMG signals are also investigated. Approach. The MU spike trains were first identified with the CKC algorithm. The HD-EMG signals and spike trains were used to train the deep CNN. Then, the deep CNN decomposed the HD-EMG signals into MU discharge times in real time. Two CNN approaches are compared with the CKC: (a) multiple single-output deep CNN (SO-DCNN) with one MU decomposed per network, and (b) one multiple-output deep CNN (MO-DCNN) to decompose all MUs (up to 23) with one network. Main results. The MO-DCNN outperformed the SO-DCNN in terms of training time (3.2–21.4 s epoch−1 vs 6.5–47.8 s epoch−1, respectively) and prediction time (0.04 vs 0.27 s sample−1, respectively). The optimal window size and step size for MO-DCNN were 120 and 20 data points, respectively. It results in sensitivity of 98% and 85% with simulated and experimentally recorded HD-EMG signals, respectively. There is a high cross-correlation coefficient between the neural drive estimated with CKC and that estimated with MO-DCNN (range of r-value across conditions: 0.88–0.95). Significance. We demonstrate the feasibility and the validity of using deep CNN to accurately identify MU activity from HD-EMG with a latency lower than 80 ms, which falls within the lower bound of the human electromechanical delay. This method opens many opportunities for using the neural drive to interface humans with assistive devices.

Correlation between Google Trends on dengue fever and national surveillance report in Indonesia

ABSTRACTBackground: Digital traces are rapidly used for health monitoring purposes in recent years. This approach is growing as the consequence of increased use of mobile phone, Internet, and machine learning. Many studies reported the use of Google Trends data as a potential data source to assist traditional surveillance systems. The rise of Internet penetration (54.7%) and the huge utilization of Google (98%) indicate the potential use of Google Trends in Indonesia. No study was performed to measure the correlation between country wide official dengue reports and Google Trends data in Indonesia.Objective: This study aims to measure the correlation between Google Trends data on dengue fever and the Indonesian national surveillance report.Methods: This research was a quantitative study using time series data (2012–2016). Two sets of data were analyzed using Moving Average analysis in Microsoft Excel. Pearson and Time lag correlations were also used to measure the correlation between those data.Results: Moving Average analysis showed that Google Trends data have a linear time series pattern with official dengue report. Pearson correlation indicated high correlation for three defined search terms with R-value range from 0.921 to 0.937 (p ≤ 0.05, overall period) which showed increasing trend in epidemic periods (2015–2016). Time lag correlation also indicated that Google Trends data can potentially be used for an early warning system and novel tool to monitor public reaction before the increase of dengue cases and during the outbreak.Conclusions: Google Trends data have a linear time series pattern and statistically correlated with annual official dengue reports. Identification of information-seeking behavior is needed to support the use of Google Trends for disease surveillance in Indonesia.

High levels of faecal contamination in drinking groundwater and recreational water due to poor sanitation, in the sub-rural neighbourhoods of Kinshasa, Democratic Republic of the Congo.

In many urban and peri-urban areas of developing countries, shallow wells and untreated water from urban rivers are used for domestic purposes, including drinking water supply, population bathing and irrigation for urban agriculture. The evaluation and monitoring of water quality are therefore necessary for preventing potential human risk associated with the exposure to contaminated water. In this study, physicochemical and bacteriological parameters were assessed in an urban river (named Kokolo Canal/Jerusalem River) draining the municipality of Lingwala (City of Kinshasa, Democratic Republic of the Congo) and in two shallow wells used as drinking water supplies, during the wet and dry seasons in order to estimate the seasonal variation of contamination. The faecal indicator bacteria (FIB) isolated strains (Escherichia coli (E. coli) and Enterococcus (ENT)) from water and surface sediment, were characterized for human-specific bacteroides by molecular approach. The results revealed very high faecal contamination of water from the shallow wells, and of water and sediments from the river, during both wet and dry seasons. During the wet season, E. coli reached the values of 18.6 × 105 and 4.9 × 105 CFU 100 mL-1 in Kokolo Canal and shallow wells, respectively; and Enterococcus reached the values of 7.4 × 104 and 2.7 × 104 CFU 100 mL-1. Strong mutually positive correlation was observed between E. coli and ENT, with the range of R-value being 0.93 < r < 0.97 (p-value < 0.001, n = 15). The PCR assays for human-specific Bacteroides indicated that more than 98% of 500 isolated FIB strains were of human origin, pointing out the effect of poor household sanitation practices on surface water but also on groundwater contamination. The water samples from the shallow wells and Kokolo Canal were highly polluted with faecal matter in both seasons. However, the pollution level was significantly higher during the wet season compared to the dry season. Physicochemical analysis revealed also very high water electrical conductivity, with values much higher than the recommended limits of the World Health Organization guideline for drinking water. These results highlight the potential human health risk associated with the exposure to water contamination from shallow wells and Kokolo Canal, due to the very high level of human FIB. Rapid, unplanned and uncontrolled population growth in the city of Kinshasa is increasing considerably the water demand, whereas there is a dramatic lack of appropriate sanitation and wastewater facilities, as well as of faecal sludge (and solid waste) management and treatment. The lack of hygiene and the practice of open defecation is leading to the degradation of water quality, consequently the persistence of waterborne diseases in the neighbourhoods of sub-rural municipalities, and there is a growing threat to the sustainability to water resources and water quality. The results of this study should encourage municipality policy and strategy on increasing the access to safely managed sanitation services; in order to better protect surface water and groundwater sources, and limit the proliferation of epidemics touching regularly the city.

Schmidt Hammer exposure dating (SHED): Calibration procedures, new exposure age data and an online calculator

Recent research has established Schmidt Hammer exposure dating (SHED) as an effective method for dating glacial landforms in the UK. This paper presents new data and discussion to clarify and to evaluate calibration procedures. These make a distinction between Schmidt Hammer drift following use (instrument calibration), and variation between both individual Schmidt Hammers and between user strategies when utilising age-calibration curves (age calibration). We show that while test anvil methods are useful for verifying that Schmidt Hammers maintain their standard R-values, they are inappropriate for instrument calibration except for the hardest natural rock surfaces (R-values: ≥ 70). A range of surfaces were tested using 3 N-Type Schmidt Hammers, which showed that existing anvil calibration procedures led to consistent overestimation of R-values by up to 17.9%. In contrast, new calibration procedures, which are based on the use of a calibration point which lies within the range of R-values measured in the field [Dortch et al. 2016, Quat. Geochron., 35, 67-68], limit variance to maximum of 4.4% for surfaces typically tested by Quaternary researchers (R-values: 25 - 60). Moreover, these new calibration procedures are more appropriate for age calibration as they incorporate operator variance through choice of sampling location. New calibration procedures are used to compile an updated age-calibration curve based upon 54 granite surfaces (R2 = 0.94, p < 0.01) from across Scotland, NW England and Ireland. The inclusion of a further 29 terrestrial cosmogenic nuclide (TCN) exposure ages extends the calibration period to 0.8 – 23.8 ka, covering the entire post-Last Glacial Maximum (LGM) history of the British-Irish Ice Sheet. To facilitate comparison between studies, an online calculator is made available at http://shed.earth for Schmidt Hammer instrument and age calibration and SHED exposure age calculation. The SHED-Earth calculator provides a rapid and accessible means of exposure age calculation to encourage wider and more consistent application of SHED throughout the British Isles.

Evaluation of consumer monitors to measure particulate matter

Recently, inexpensive (<$300) consumer aerosol monitors (CAMs) targeted for use in homes have become available. We evaluated the accuracy, bias, and precision of three CAMs (Foobot from Airoxlab, Speck from Carnegie Mellon University, and AirBeam from HabitatMap) for measuring mass concentrations in occupational settings. In a laboratory study, PM2.5 measured with the CAMs and a medium-cost aerosol photometer (personal DataRAM 1500, Thermo Scientific) were compared to that from reference instruments for three aerosols (salt, welding fume, and Arizona road dust, ARD) at concentrations up to 8500µg/m3. Three of each type of CAM were included to estimate precision. Compared to reference instruments, mass concentrations measured with the Foobot (r-value = 0.99) and medium-cost photometer (r-value=0.99) show strong correlation, whereas those from the Speck (r-value range 0.91-0.99) and AirBeam (0.7–0.96) were less correlated. The Foobot bias was (−12%) for ARD and measurements were similar to the medium-cost instrument. Foobot bias was (<−46%) for salt and welding fume aerosols. Speck bias was at 18% for ARD and −86% for welding fume. AirBeam bias was (−36%) for salt and (−83%) for welding fume. All three photometers had a bias (<−82%) for welding fume. Precision was excellent for the Foobot (coefficient of variation range: 5–8%) and AirBeam (2–9%), but poorer for the Speck (8–25%). These findings suggest that the Foobot, with a linear response to different aerosol types and good precision, can provide reasonable estimates of PM2.5 in the workplace after site-specific calibration to account for particle size and composition.

Direct and self-reported measures of physical activity and sedentary behaviours by weight status in school-aged children: results from ISCOLE-Kenya

Background: Previous work has shown little association between self-report and directly measured physical activity. The objective of this study was to investigate the relationships between self-reported and directly assessed measures of physical activity and sedentary time by weight status in Kenyan children.Methods: Direct assessment of body weight, physical activity and sedentary time of 563 children was collected through anthropometry and accelerometry, while self-reported assessment was achieved by administering a questionnaire.Results: Under/healthy weight children had significantly higher directly measured mean daily minutes of moderate-to-vigorous physical activity (MVPA) compared to overweight/obese children (39 vs 20 minutes); had lower mean weekend-day minutes of sedentary time (346 vs 365 minutes); had a higher proportion who met accepted physical activity guidelines (15.3% vs 2.6%); and a higher number reported using active transportation to/from school (49.2% vs 32.4%). Self-reported time spent outside before and after school and active transport to/from school were significantly associated with mean weekday minutes of MVPA (r-value range = 0.12–0.36), but only for the under/healthy weight children.Conclusions: The results of this study found a number of differences in the accumulation of MVPA and sedentary time by weight status and weak-to-moderate correlations between self-report and direct measures of weekday and weekend-day physical activity among the under/healthy weight children.

Fully Automated Biometry of In Situ Intraocular Lenses Using Long Scan Depth Spectral-Domain Optical Coherence Tomography

Spectral-domain optical coherence tomography (SD-OCT) was used to automatically measure accommodative biometric changes in the anterior segment of eyes implanted with an intraocular lens (IOL). The repeatability and reliability of the automated measurements were also evaluated. Long scan depth SD-OCT was used to image the anterior segment of eyes implanted with IOLs. A fully automated algorithm was used to detect the boundaries of the cornea and IOL and yielded the measurements. The results included anterior segment dimensions in IOL eyes and the deflection of the IOLs. Automated measurements were validated in vitro and compared with the manual results in vivo on 15 cross-sectional images from patients with IOLs. Five eyes with five different types of IOLs, respectively, were enrolled to test the repeatability of the automated measurements during accommodation. Intraocular lens central thickness and anterior and posterior curvature radii measured by long scan depth SD-OCT in vitro and in a model eye matched well with those determined by a micrometer caliper and interferometer. In vivo, there was good correlation of the biometric data determined by automated and manual segmentations (P<0.05, r-value range: 0.635-0.997). There were no significant differences for any variable between the two measurements at each accommodative state (P>0.05). Anterior chamber depth and pupil diameter showed significant changes between the nonaccommodative and 2.5-D accommodative states (P<0.05), whereas the shape of the IOLs did not change significantly (P>0.05). The long scan depth SD-OCT with the automated algorithm was verified to have a great potential in studying accommodative biometric changes of the anterior segment in eyes with IOLs and IOL deflections.

Validation of Plantar Pressure Measurements for a Novel in-Shoe Plantar Sensory Replacement Unit

Research concerning prevention of diabetic foot complications is critical. A novel in-shoe plantar sensory replacement unit (PSRU) has been developed that provides alert-based feedback derived from analyzing plantar pressure threshold measurements in real time. The purpose of this study was to compare the PSRU device to a gold standard pressure-sensing device (GS-PSD) to determine the correlation between concurrent measures of plantar pressure during walking. The PSRU had an array of eight sensors with a range of 10-75 mm Hg and collected data at 4 Hz, whereas the GS-PSD had 99 sensors with a range of 1-112 mm Hg and collected data at 100 Hz. Based on an a priori power analysis, data were collected from 10 participants (3 female, 7 male) while walking over ground in both devices. The primary variable of interest was the number of data points recorded that were greater than 32 mm Hg (capillary arterial pressure--the minimum pressure reported to cause pressure ulcers) for each of the eight PSRU sensors and corresponding average recordings from the GS-PSD sensor clusters. Intraclass correlation coefficient (2,1) was used to compare data between the two devices. Compared with the GS-PSD, we found good-to-very-good correlations (r-value range 0.67-0.86; p-value range 0.01-0.05) for six of the PSRU's eight sensors and poor correlation for only two sensors (r = 0.41, p = .15; r = 0.38, p = .18) when measuring the number of data points recorded that were greater than 32 mm Hg. Based on the results of the present study, we conclude the PSRU provides analogous data when compared with a GS-PSD.

Epidemiological evidence against a role for C-reactive protein causing leptin resistance

It has been suggested that elevated levels of C-reactive protein (CRP) might interfere with leptin signalling and contribute to leptin resistance. Our aim was to assess whether plasma levels of CRP influence leptin resistance in humans, and our hypothesis was that CRP levels would modify the cross-sectional relationships between leptin and measures of adiposity. W assessed four measures of adiposity: BMI, waist circumference, fat mass and body fat (%) in 2113 British Regional Heart Study (BRHS) men (mean (s.d.) age 69 (5) years), with replication in 760 (age 69 (6) years) European Male Ageing Study (EMAS) subjects. IN BRHS subjects, leptin correlated with CRP (SPEARMAN'S R=0.22, P0.0001). Leptin and crp correlated with all four measures of adiposity (R VALUE RANGE: 0.22-0.57, all P<0.0001). Age-adjusted mean levels for adiposity measures increased in relation to leptin levels, but CRP level did not consistently influence the β-coefficients of the regression lines in a CRP-stratified analysis. In BRHS subjects, the BMI vs leptin relationship demonstrated a weak statistical interaction with CRP (P=0.04). We observed no similar interaction in EMAS subjects and no significant interactions with other measures of adiposity in BRHS or EMAS cohorts. We have shown that plasma CRP has little influence on the relationship between measures of adiposity and serum leptin levels in these middle-aged and elderly male European cohorts. This study provides epidemiological evidence against CRP having a significant role in causing leptin resistance.

남부지역 주거건물의 외피단열변화에 따른 에너지소비량 예측

This study aimed at quantifying the impact of envelope insulation on energy consumption for thermal controls in residential buildings in southern part of Korea. A series of parametric simulations for a range of R-values of walls, roof, floor, and windows were computationally conducted for a prototypical Korean detached house. Analysis revealed that the total amount of heat gain was larger than that of heat loss, while the amount of energy for cooling was smaller than that for heating due to the difference of system efficiency; the envelope heat transfer was more significant for the heat loss, thus, the increase of the envelope insulation was more effective to reduce heating load; and there were certain levels of envelope insulation after which the energy saving effect was not significant. These findings are expected to be a fundamental database for the decision of proper insulation level in Korean residential buildings.

US state alcohol sales compared to survey data, 1993–2006

Assess long-term trends of the correlation between alcohol sales data and survey data. Analyses of state alcohol consumption data from the US Alcohol Epidemiologic Data System based on sales, tax receipts or alcohol shipments. Cross-sectional, state annual estimates of alcohol-related measures for adults from the US Behavioral Risk Factor Surveillance System using telephone surveys. United States. Participants State alcohol tax authorities, alcohol vendors, alcohol industry (sales data) and randomly selected adults aged > or = 18 years 1993-2006 (survey data). State-level per capita annual alcohol consumption estimates from sales data. Self-reported alcohol consumption, current drinking, heavy drinking, binge drinking and alcohol-impaired driving from surveys. Correlation coefficients were calculated using linear regression models. State survey estimates of consumption accounted for a median of 22% to 32% of state sales data across years. Nevertheless, state consumption estimates from both sources were strongly correlated with annual r-values ranging from 0.55-0.71. State sales data had moderate-to-strong correlations with survey estimates of current drinking, heavy drinking and binge drinking (range of r-values across years: 0.57-0.65; 0.33-0.70 and 0.45-0.61, respectively), but a weaker correlation with alcohol-impaired driving (range of r-values: 0.24-0.56). There were no trends in the magnitude of correlation coefficients. Although state surveys substantially underestimated alcohol consumption, the consistency of the strength of the association between sales consumption and survey data for most alcohol measures suggest both data sources continue to provide valuable information. These findings support and extend the distribution of consumption model and single distribution theory, suggesting that both sales and survey data are useful for monitoring population changes in alcohol use.

State Alcohol-Use Estimates Among Youth and Adults, 1993–2005

Underage drinking, particularly binge drinking, is an important public health problem that results in substantial premature mortality and morbidity. Little is known about the potential influence of the alcohol-use behaviors of adults on youth alcohol use at a population level. The purpose of this study was to examine the correlation of alcohol-use behaviors among youth with those of adults at a population level. Data were analyzed in 2007 and 2008, using biennial 1993-2005 data from state school-based Youth Risk Behavior Surveys of students in grades 9-12, and from the Behavioral Risk Factor Surveillance System for adults aged >or=18 years. Pearson correlation coefficients (r) were used to compare state prevalence estimates for youth with those of adults for several alcohol-use measures. Overall and subgroup-specific state youth estimates of current drinking and binge drinking were generally moderately to strongly correlated with adult alcohol use (range of r -values for pooled estimates across all years: 0.35-0.68 for current drinking [p<0.01 for all correlations]; 0.24-0.60 for binge drinking [p<0.01 for all correlations]) and with youth and adult drinking-and-driving behaviors (range of r-values for pooled estimates: 0.12-0.52, p<0.01 for all but one correlation). Correlation coefficients were generally higher for girls with women and for youth with younger adults aged 18-34 years. The use of alcohol by youth before they were aged 13 years was not correlated with adult alcohol-use measures, and most youth alcohol-use measures were not correlated with adult heavy-alcohol use. Most state youth alcohol-use estimates were correlated with state adult estimates. These findings have implications for underage-drinking control strategies and suggest that efforts to address this problem need to be targeted on a broader societal level.

Influence of in situ Biofilm Coverage on the Radionuclide Adsorption Capacity of Subsurface Granite

Any migration of radionuclides from nuclear waste repositories is expected to be mitigated by adsorption to the host rocks surrounding hydraulically conductive fractures. Fluid rock interfaces are considered to be important barriers for nuclear waste disposal schemes but their adsorptive capacity can be affected by the growth of microbial biofilms. This study indicates that biofilms growing on fracture surfaces decrease the rocks adsorption capacity for migrating radionuclides except for trivalent species. Potential suppression of adsorption by biofilms should, therefore, be accounted for in performance safety assessment models. In this study, the adsorptive capacity of in situ anaerobic biofilms grown 450 m underground on either glass or granite slides was compared to the capacity of the same surfaces without biofilms. Surfaces were exposed to the radiotracers 60Co(II), 147Pm(III), 241Am(III), 234Th(IV), and 237Np(V) for a period of 660 h in a pH neutral anaerobic synthetic groundwater. Adsorption was investigated at multiple time points over the 660 h using liquid scintillation and ICP-MS. Results indicate that these surfaces adsorb between 0 and 85% of the added tracers under the conditions of the specific experiments. After 660 h, the distribution coefficients, R (ratio between what is sorbed and what is left in the aqueous phase), approached 3 x 10(4) m for 60Co, 3 x 10(5) m for 147Pm and 241Am, 1 x 10(6)m for 234Th, and 1 x 10(3) m for 237Np. The highest rate of adsorption was during the first 200 h of the adsorption experiments and started to approach equilibrium after 500 h. Adsorption to colloids and precipitates contributed to decreases of up to 20% in the available 60Co, 147Pm, 241Am, and 237Np in the adsorption systems. In the 234Th system 95% of the aqueous 234Th was removed by adsorbing to colloids. Although the range of Rvalues for each surface tested generally overlapped, the biofilms consistently demonstrated lower R values except for the trivalant 147Pm and 241Am adsorption systems.

Effect of age on skeletal muscle myofibrillar mRNA abundance: Relationship to myosin heavy chain protein synthesis rate

Age-related changes in myosin heavy chain (MHC) phenotype impact both the quantity and functional character of skeletal muscle. The present study was undertaken to examine the hypothesis that age-related changes in MHC mRNA abundance underlie alterations in protein synthesis rates and content. We measured the abundance of mRNA for MHC isoforms (MHC I, MHC IIa, IIx) and actin by RT-PCR in 6 young (mean ± SE; 29 ± 3) and 12 elderly (73 ± 1 yr; P < 0.01) volunteers and examined their association to MHC protein synthesis rates and their respective protein products. We found no differences between young and elderly volunteers in MHC isoform or actin transcript levels. Because of the absence of age effects, data were pooled for correlation analyses. Although total MHC mRNA levels were not related to MHC fractional synthesis rates, the relative abundance of MHC I and MHC IIa mRNA were positively ( r = 0.450; P = 0.06) and negatively ( r = −0.493; P < 0.05) associated with MHC protein synthesis rates, respectively. MHC mRNA levels were positively correlated to their respective protein products (range of r-values: 0.551–0.727; P < 0.05 to P < 0.01), but were not related to skeletal muscle IGF-I mRNA abundance, circulating IGF-I or markers of immune activation. Our results argue against the notion that changes in MHC protein synthesis rates with age are related to altered MHC mRNA abundance, although our findings do suggest that possibility that individual variability in MHC protein synthesis rates is related to the relative abundance of MHC I versus MHC IIa transcripts.