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apoptosis guide papers about apoptosis,fas c- terminal tripeptide,z-vad-fmk home купить аттестат о среднем jailbreak ios 9.3 apr 09 porosity open and closed bulk density by admin characterization of sintered discs containing distinct sawdust content in the bottom-layer obtained from mercury intrusion porosimetry.sawdust content (wt.%)open porosity (%)bulk density (g/cm3)median pore diameter (μm)2.54.82.301.255.42.2415.81011.12.1640.8full-size tabletable optionsview in workspacedownload as csvfig. 6. pore size distribution curves (calculated from mercury intrusion data) for sintered discs produced with distinct sawdust content.figure optionsdownload full-size imagedownload as powerpoint slideto comply with the standard, porcelain stoneware tiles must have bending strength values higher than 35 mpa (iso 10545/4). in this work, the mechanical resistance of the sintered bi-layered ceramic discs is controlled by the degree of porosity in the bottom-layer of the discs. fig. 7 presents the bending strength and young\’s modulus of the fired bodies. results show that both parameters diminish with increasing sawdust content. nevertheless, the incorporation of up to 10 wt% of sawdust creates materials that still comply with these specifications. as for other standard properties required for porcelain stoneware tiles they ro3306 are ensured by the dense top-layer.fig. 7. mechanical properties of bi-layered ceramic tiles as a function of sawdust content: (a) bending strength and (b) young\’s modulus.figure optionsdownload full-size imagedownload as powerpoint slidethe specific strength of samples was also evaluated, as proposed by ashby (2005). experimental values ranged between 3.2 and 4.0 mpa0.5 cm3/g, being similar to those reported in the literature for lightweight porcelain stoneware tiles (bernardo et?al., 2010 and novais et?al., 2014).the creation of porosity in the bottom layer sintered discs is expected to decrease the thermal conductivity of the bodies. in fact, the thermal conductivity strongly decreases with porosity, as shown in fig. 8. for comparison purposes, the thermal conductivity of a standard ceramic sample (prepared without porogen addition) was included in the figure. a threefold decrease in the thermal conductivity (from 0.71 to 0.23 w/m k) was observed when only 5 wt% sawdust was added to the bottom layer of the bi-layered discs. this observation is consistent with the above-mentioned porogen percolation threshold. indeed, sem micrographs in fig. 5b and f clearly show the formation of networks between adjacent pores, hence reducing the solid paths throughout the ceramic body. the thermal conductivity attenuation with porosity level observed in fig. 8 was steeper than that observed when polypropylene and polymethyl methacrylate were used as porogen agents (novais et al., 2014). the thermal insulation achieved with sawdust incorporation endows porcelain stoneware ceramic tiles with new features that may extend the range of applications of this common product.fig. 8. thermal conductivity of the porous layer sintered discs, prepared with sawdust, as function of open porosity level. the horizontal line corresponds to the thermal conductivity of a standard composition (without porogen).figure optionsdownload full-size imagedownload as powerpoint slide4. conclusionsthis study evaluated the possibility of using wood wastes (sawdust) as a pore forming agent for producing porcelain stoneware ceramic tiles with novel features.lightweight bi-layered bodies showing suitable mechanical resistance and low thermal conductivity were fabricated, attesting to the potential of using sawdust as a pore forming agent in such fast-fired ceramic products.optical microscopy and mercury intrusion porosimetry characterization demonstrated that the porosity level is controlled by sawdust content, and therefore can be tuned considering the application envisaged.sawdust presents fast and complete combustion, without leaving residues or ashes, and does not induce defects in the ceramics bodies. additionally, the heat released from its decomposition brings value to the ceramic tile manufacturing process, allowing energy savings.the incorporation of sawdust in the bottom layer of the bi-layered ceramics promotes weight reduction (up to 7.5%) and simultaneous thermal conductivity attenuation (up to 76%). the low porogen percolation threshold (5 wt%) achieved endorsed a threefold decrease in the ceramic tile\’s thermal conductivity in comparison to commercial stoneware tiles. at the same time, the product complies with mechanical strength requirements when sawdust incorporation level is below 10 wt%.results demonstrate that innovative products with excellent features can be produced by incorporation of sawdust into porcelain stoneware ceramic tiles. the novel ceramic tiles ensure environmental, technical and economic advantages: waste valorisation by sawdust reuse (environmental advantage); density reduction of the product which decreases the tiles transportation and distribution costs (economic advantage); restrain energy loss (technical advantage). these new and exciting features may widen the range of applications of porcelain stoneware tiles while simultaneously contributing towards sustainable construction.acknowledgementsthe authors acknowledge the financial support from portuguese innovation agency (adi) through project thermocer, to ciceco (pest c/ctm/la0011/2013) and rnme – pole university of aveiro (fct project rede/1509/rme/2005) for instrument use, scientific and technical assistance. the authors acknowledge cinca for providing the spray-dried powder, and the assistance of dr. r.c. pullar with editing english language in this paper. posted in uncategorized | 691 comments » mar 25 gw841819x markov matrix of regional energy efficiency between and by admin venture capital; entity industry; green innovation1. introductionas the important foundation of national economy, entity industry refers to real industry satisfying material and cultural needs of human, including agriculture, manufacturing and most service industries. entity industry can be divided into green industry and non-green industry from the perspective whether it is conducive to resource conservation and environmental protection. green industry is conducive to resource conservation and environmental protection. narrow-sense green industry refers to service industry of gw841819x conservation and environmental management services, while general green industry is the industry consuming less resource and producing less environmental pollution. the so-called non-green industry refers to industries with large consumption of resources and heavy environmental pollution.green innovation refers to technological innovation that ecological concept is introduced into various stages of technological innovation for entity industry, thus benefiting resource conservation and environmental protection (zhang, 2013). practice in developed countries has proved its important supporting role in energy conservation. for example, the use of aeration technology played a huge role in the pollution control project of uk thames in early 1960s. in 1970s, japan introduced the world’s most stringent standards of sulfur dioxide emission, greatly reducing sulfur dioxide emissions through desulfurization technology (bu, 2006).the support of financial industry is indispensable to promote green innovation activities. it is reasonable and necessary for government to provide financial supports due to significant positive externalities of green innovation. however, financial resources form government is very limited compared to the fund demand of green innovation. after all, aspects of response to climate change, pollution control, eco-economy development, and sustainable development are common aspiration of mankind throughout the world. it is the inevitable trend of economic and social development to transform economic development mode and lifestyle with construction of ecological civilization. thus, expansion of green innovation funding sources has become an inevitable choice for entity industries. according to the prediction of us energy foundation and china national development and reform commission, annual financing gap of chinese energy saving industry, new energy industry and environmental management industry is about 200 billion rmb; it will reach at least two trillion rmb by 2020 (subject group, 2009). therefore, industries of energy conservation, new energy development and environmental management cannot be promoted for green innovation without active use of financial instruments, thus making it difficult to promote green innovation.academic research has proved the supporting role of venture capital in technology innovation. kortum and lerner (2000) found that venture capital greatly promoted technology innovation in economy in the united states – the promoting effect of 1 posted in uncategorized | 574 comments » mar 25 venture capital entity industry green innovation introductionas the by admin spatial markov matrix of regional gw841819x efficiency between 1999 and 2010 in china.spatial lagti/ti+1n1: <75%2: <100%3: <125%4: >125%11200.950.050.000.002120.050.860.090.00340.000.001.000.00400.000.000.000.0021650.900.080.000.022560.050.850.090.013290.000.150.780.074180.000.000.180.8231121.000.000.000.002150.000.690.310.003390.000.190.700.114180.000.050.140.814100.000.000.000.00200.000.000.000.003140.000.000.800.204580.000.000.030.97full-size tabletable optionsview in workspacedownload as csvtable 5 illustrates three factors.first, the spatial relationship between regions plays an important role in the convergence club of energy efficiency in china. with different neighbors, the transition probabilities of regional energy are different. in other words, if the background of a region does not change, the four conditional matrices in the same period in table 5 should be similar to each other. in fact, the background of a region does not change.second, different regional backgrounds play different roles in the transfer of energy efficiency type. the probability of an upward shift will increase and the probability of a downward shift will decrease if a region is within the regional neighborhood with a high level of energy efficiency. conversely, the probability of an upward shift will decrease and the probability of a downward shift will increase if a region is within the regional neighborhood with a low level of energy efficiency. between 1999 and 2010, when a region with low energy efficiency is adjacent to regions with low energy efficiency, the probability of an upward shift is 5%; meanwhile, if a region is adjacent to regions with medium-low, medium-high, or high-level energy efficiency, the upward shift probability is increased to 8%. the probability of an upward shift is 19%, and the probability of a downward shift is 10% if a region with medium-low energy efficiency is adjacent to regions with low or medium-low energy efficiency; the probability of an upward shift is 31% and the probability of a downward shift is 0% if a region is adjacent to regions with medium-high or high energy efficiency. when a region with medium-high energy efficiency is adjacent to regions with low, medium-low, or medium-high energy efficiency, the probability of an upward shift is 11% and the probability of a downward shift is 34%; meanwhile, if a region is adjacent to regions with high or medium-high energy efficiency, the probability of an upward shift is 20% and the probability of a downward shift is 0%. when a region with high energy efficiency is adjacent to regions with lower energy efficiency, the probability of a downward shift is 32%; meanwhile, if a region is adjacent to regions with higher energy efficiency, the probability of a downward shift is 3%.third, the matrix of the spatial markov transition probability provides a spatial interpretation for the “club convergence” phenomenon. a region will be negatively influenced by its geographical neighbors with a low level of energy efficiency. between 1999 and 2010, if the geographical neighbors of a region have a low level of energy efficiency, the probability of this region to maintain a low level of energy efficiency after several years is 95%. this probability is higher than the probability that ignores the regional neighbors in table 4, which is 0.92 in the same period. between 1999 and 2010, the probability of a region to maintain a high level of energy efficiency is 97% if its geographical neighbors are at a high level as well; this probability is higher than the probability in table 4 in the same period, which is 0.90.4. conclusionwe adopt dea in this paper to calculate regional energy efficiency from the perspective of total-factor energy efficiency, and the club convergence of the regional energy efficiency in china is subsequently tested using the markov chain and spatial markov chain methods. we draw the following conclusions:(1)the “club convergence” phenomenon exists in the regional energy efficiency in china between 1999 and 2010, and the levels of club convergence are low, medium-low, medium-high, and high. moreover, the stability of both low- and high-level club convergence is high.(2)the energy efficiency class transitions in china are highly constrained by their regional backgrounds. the regional transitions are positively influenced by regions with a high level of energy efficiency and are negatively influenced by regions with a low level of energy efficiency. these empirical analyses provide a spatial explanation to the existence of the “club convergence” phenomenon of regional energy efficiency in china.(3)in accordance with the dynamic evolution of regional energy efficiency in china, special attention should be paid to spatial effect, and regional cooperation should be strengthened. policy that favors the “enrich the neighbor” approach should be used in regions with a high level of energy efficiency. simultaneously considering the geography, population, industry, resources, etc., attains a win–win situation on energy efficiency. preferential policies should be implemented in the low-level and low-growth regions of energy efficiency to enhance the opening-up level, thus accelerating the adjustment and optimization of the industrial structure, and the promotion of energy efficiency of these areas.acknowledgementsthis paper is the stage achievement of the national natural science foundation of china (71303029) and the national social science fund project (10bgl066). the author is grateful for the support of the national natural science foundation of china and the national social science foundation of china. posted in uncategorized | 28 comments » apr 21 br recently dynamic chest radiography by admin recently, dynamic chest radiography using a flat panel detector (fpd) system with a large field of view was introduced for clinical use. this technique can provide sequential chest radiographs with high temporal resolution during respiration (17), and the methysergide dose is much lower than that of ct. also, whereas ct and mri are performed in the supine or prone position, dynamic chest radiology can be performed in a standing or sitting position, which is physiologically relevant. to the best of our knowledge, no detailed study has analyzed diaphragmatic motion during tidal breathing by using dynamic chest radiography. the purpose of this study was to evaluate diaphragmatic motion during tidal breathing in a standing position in a health screening center cohort using dynamic chest radiography in association with participants\’ demographic characteristics. materials and methods study population this cross-sectional study was approved by the institutional review board, and all the participants provided written informed consent. from may 2013 to february 2014, consecutive 220 individuals who visited the health screening of our hospital and met the following inclusion criteria for the study were recruited: age greater than 20 years, scheduled for conventional chest radiography, and underwent pulmonary function test. patients with any of the following criteria were excluded: pregnant (n  =  0), potentially pregnant or lactating (n  =  0), refused to provide informed consent (n  =  22), had incomplete datasets of dynamic chest radiography (n  =  3), had incomplete datasets of pulmonary function tests (n  =  1), could not follow tidal breathing instructions (eg, holding breath or taking a deep breath) (n  =  18), or their diaphragmatic motion could not be analyzed by the software described next (n  =  4). thus, a total of 172 participants (103 men, 69 women; mean age 56.3 ± 9.8 years; age range 36–85 years) were finally included in the analysis ( fig 1). the data from 47 participants of this study population were analyzed in a different study (under review). the heights and weights of the participants were measured, and the body mass index (bmi, weight in kilograms divided by height squared in meters) was calculated. figure 1. flow diagram of the study population.figure optionsdownload full-size imagedownload high-quality image (83 k)download as powerpoint slide imaging protocol of dynamic chest radiology (“dynamic x-ray phrenicography”) posteroanterior dynamic chest radiography (“dynamic x-ray phrenicography”) was performed using a prototype system (konica minolta, inc., tokyo, japan) composed of an fpd (paxscan 4030cb, varian medical systems, inc., salt lake city, ut, usa) and a pulsed x-ray generator (dhf-155hii with cineradiography option, hitachi medical corporation, tokyo, japan). all participants were scanned in the standing position and instructed to breathe normally in a relaxed way without deep inspiration or expiration (tidal breathing). the exposure conditions were as follows: tube voltage, 100 kv; tube current, 50 ma; pulse duration of pulsed x-ray, 1.6 ms; source-to-image distance, 2 m; additional filter, 0.5 mm al + 0.1 mm cu. the additional filter was used to filter out soft x-rays. the exposure time was approximately 10–15 seconds. the pixel size was 388 × 388 µm, the matrix size was 1024  × 768, and the overall image area was 40 × 30 cm. the gray-level range of the images was 16,384 (14 bits), and the signal intensity was proportional to the incident exposure of the x-ray detector. the dynamic image data, captured at 15 frames/s, were synchronized with the pulsed x-ray. the pulsed x-ray prevented excessive radiation exposure to the subjects. the entrance surface dose was approximately 0.3–0.5 mgy. posted in inhibitors , methysergide | no comments » apr 21 br conclusions br the time resolved quantitative by admin conclusions the time-resolved quantitative analysis of the diaphragms with dynamic x-ray phrenicography is feasible. the average excursions of the diaphragms are 11.0 mm (right) and 14.9 mm (left) during tidal breathing in a standing position in our health screening center cohort. the diaphragmatic motion of the left is significantly larger and faster than that of-1 supplier of the right. higher tidal volume and bmi are associated with increased excursions of the bilateral diaphragm. acknowledgmentsthe authors acknowledge the valuable assistance of hideo ogata, md, phd, norihisa motohashi, md, phd, misako aoki, md, yuka sasaki, md, phd, and hajime goto, md, phd, from the department of respiratory medicine; yuji shiraishi, md, phd, from the department of respiratory surgery; and masamitsu ito, md, phd, atsuko kurosaki, md, yoichi akiyama, rt, kenta amamiya, rt, and kozo hanai, rt, phd, from the department of radiology, fukujuji hospital, for their important suggestions. the authors also acknowledge the valuable assistance of alba cid, ms, for editorial work on the manuscript. yoshitake yamada, md, phd, is a recipient of a research fellowship from the uehara memorial foundation. appendix. supplementary datathe following is the supplementary data to this article: to view the video inline, enable javascript on your browser. however, you can download and view the video by clicking on the icon belowvideo s1.  a representative video of sequential chest radiographs obtained by chest dynamic radiography for the motion of the diaphragms (“dynamic x-ray phrenicography”). a board-certified radiologist placed a point of interest (red point) on the highest point of each diaphragm on the radiograph at the resting end-expiratory position. these points were automatically traced by the template-matching technique throughout the respiratory phase. based on locations of the points on sequential radiographs, the vertical excursions and the peak motion speeds of the bilateral diaphragm were calculated (fig 2c).help with mp4 filesoptionsdownload video (1042 k) data s1.  multivariate analysis of associations between the excursions and participant demographics using age, gender, bmi, tidal volume, vc, fev1, and smoking history as factors (model 2).help with docx filesoptionsdownload file (23 k) posted in inhibitors , of-1 supplier | no comments » apr 21 br conclusions br the time by admin conclusions the time-resolved quantitative analysis of the diaphragms with dynamic x-ray phrenicography is feasible. the average excursions of the diaphragms are 11.0 mm (right) and 14.9 mm (left) during tidal breathing in a standing position in our health screening center cohort. the diaphragmatic motion of the left is significantly larger and faster than that orexin antagonist of the right. higher tidal volume and bmi are associated with increased excursions of the bilateral diaphragm. acknowledgmentsthe authors acknowledge the valuable assistance of hideo ogata, md, phd, norihisa motohashi, md, phd, misako aoki, md, yuka sasaki, md, phd, and hajime goto, md, phd, from the department of respiratory medicine; yuji shiraishi, md, phd, from the department of respiratory surgery; and masamitsu ito, md, phd, atsuko kurosaki, md, yoichi akiyama, rt, kenta amamiya, rt, and kozo hanai, rt, phd, from the department of radiology, fukujuji hospital, for their important suggestions. the authors also acknowledge the valuable assistance of alba cid, ms, for editorial work on the manuscript. yoshitake yamada, md, phd, is a recipient of a research fellowship from the uehara memorial foundation. appendix. supplementary datathe following is the supplementary data to this article: to view the video inline, enable javascript on your browser. however, you can download and view the video by clicking on the icon belowvideo s1.  a representative video of sequential chest radiographs obtained by chest dynamic radiography for the motion of the diaphragms (“dynamic x-ray phrenicography”). a board-certified radiologist placed a point of interest (red point) on the highest point of each diaphragm on the radiograph at the resting end-expiratory position. these points were automatically traced by the template-matching technique throughout the respiratory phase. based on locations of the points on sequential radiographs, the vertical excursions and the peak motion speeds of the bilateral diaphragm were calculated (fig 2c).help with mp4 filesoptionsdownload video (1042 k) data s1.  multivariate analysis of associations between the excursions and participant demographics using age, gender, bmi, tidal volume, vc, fev1, and smoking history as factors (model 2).help with docx filesoptionsdownload file (23 k) posted in inhibitors , orexin antagonist | no comments » apr 21 br figure thinsp xa representative sequential by admin figure 2. representative sequential chest radiographs and the graphs of excursion and peak motion of the diaphragms obtained by chest dynamic radiography (“dynamic x-ray phrenicography”). (a) radiograph of the resting end-expiratory position. (b) radiograph of the resting end-inspiratory position. (c) graph showing the vertical excursions and the peak motion speeds of the bilateral diaphragm. a board-certified radiologist placed a point of interest (red point) on the highest point of each buy fluvastatin on the radiograph at the resting end-expiratory position (a). these points were automatically traced by the template-matching technique throughout the respiratory phase (double arrows in b) (supplementary video s1); red double arrow indicates the vertical excursion of the right diaphragm and blue double arrow indicates that of the left diaphragm. based on locations of the points on sequential radiographs, the vertical excursions and the peak motion speeds of the bilateral diaphragm were calculated (c). the lowest point (0 mm) of the excursion on the graph indicated that the highest point of each diaphragm was at the resting end-expiratory position (ie, null point was set at the end-expiratory phase) (c). (color version of figure is available online.)figure optionsdownload full-size imagedownload high-quality image (305 k)download as powerpoint slide pulmonary function tests the pulmonary function tests were performed in all participants on the same day of the imaging study. parameters of pulmonary function tests were measured according to the american thoracic society guidelines 20 ;  21 using a pulmonary function instrument with computer processing (discom-21 fx, chest mi co, tokyo, japan). statistical analysis descriptive statistics are expressed as mean ± standard deviation for continuous variables and as frequency and percentages for nominal variables. a paired t test was used to compare the excursion and peak motion speed between the right diaphragm and the left diaphragm. the associations between the excursions of the diaphragms and participants\’ characteristics were evaluated by means of the pearson\’s correlation coefficient and a simple linear regression or student\’s t test depending on the type of variable (ie, continuous or nominal variable). continuous variables were height, weight, bmi, tidal volume, vital capacity (vc, %vc), forced expiratory volume (fev1, fev1%, and %fev1), and nominal variables were gender and smoking history. the robustness of the results of the univariate analyses was assessed with multiple linear regression models. the significance level for all tests was 5% (two sided). all data were analyzed using a commercially available software program (jmp; version 12, sas, cary, nc, usa). results participants\’ characteristics table 1 shows the clinical characteristics of all the participants (n = 172). excursions and peak motion speeds of the bilateral diaphragm univariate analysis of associations between the diaphragmatic excursions and participants\’ demographics figure 3. estimated regression line of the excursion of the diaphragm on bmi or tidal volume. (a) association between bmi and excursion of the right diaphragm. (b) association between bmi and excursion of the left diaphragm. (c) association between tidal volume and excursion of the right diaphragm. (d) association between tidal volume and excursion of the left diaphragm. lines show estimated regression (a–d). all scatterplots show correlations (p < 0.05). bmi, body mass index.figure optionsdownload full-size imagedownload high-quality image (226 k)download as powerpoint slide multivariate analysis of associations between the excursions and participants\’ demographics multiple linear regression analysis using all variables as factors (model 1) demonstrated that weight, bmi, and tidal volume were independently associated with the bilateral excursion of the diaphragms (all p < 0.05) after adjusting for other clinical variables, including age, gender, smoking history, height, vc, %vc, fev1, fev1%, and %fev1. there were no significant associations between the excursion of the diaphragms and variables including age, gender, smoking history, height, vc, %vc, fev1, fev1%, and %fev1 (table 4). additionally, a multiple linear regression model using age, gender, bmi, tidal volume, vc, fev1, and smoking history as factors (model 2) was also fit as a sensitivity analysis, taking into account the correlation among variables (eg, bmi, height, and weight; vc and %vc; fev1, fev1%, and %fev1). model 2 (supplementary data s1) gave results consistent with model 1 (table 4): higher bmi and higher tidal volume were independently associated with the increased bilateral excursion of the diaphragms (all p < 0.05). the adjusted r2 in model 1 was numerically higher than that in model 2 (right, 0.19 vs. 0.16, respectively; left, 0.16 vs. 0.13, respectively). posted in inhibitors , buy fluvastatin | no comments » apr 21 br figure thinsp xa representative sequential chest radiographs by admin figure 2. representative sequential chest radiographs and the graphs of excursion and peak motion of the diaphragms obtained by chest dynamic radiography (“dynamic x-ray phrenicography”). (a) radiograph of the resting end-expiratory position. (b) radiograph of the resting end-inspiratory position. (c) graph showing the vertical excursions and the peak motion speeds of the bilateral diaphragm. a board-certified radiologist placed a point of interest (red point) on the highest point of each rvx-208 on the radiograph at the resting end-expiratory position (a). these points were automatically traced by the template-matching technique throughout the respiratory phase (double arrows in b) (supplementary video s1); red double arrow indicates the vertical excursion of the right diaphragm and blue double arrow indicates that of the left diaphragm. based on locations of the points on sequential radiographs, the vertical excursions and the peak motion speeds of the bilateral diaphragm were calculated (c). the lowest point (0 mm) of the excursion on the graph indicated that the highest point of each diaphragm was at the resting end-expiratory position (ie, null point was set at the end-expiratory phase) (c). (color version of figure is available online.)figure optionsdownload full-size imagedownload high-quality image (305 k)download as powerpoint slide pulmonary function tests the pulmonary function tests were performed in all participants on the same day of the imaging study. parameters of pulmonary function tests were measured according to the american thoracic society guidelines 20 ;  21 using a pulmonary function instrument with computer processing (discom-21 fx, chest mi co, tokyo, japan). statistical analysis descriptive statistics are expressed as mean ± standard deviation for continuous variables and as frequency and percentages for nominal variables. a paired t test was used to compare the excursion and peak motion speed between the right diaphragm and the left diaphragm. the associations between the excursions of the diaphragms and participants\’ characteristics were evaluated by means of the pearson\’s correlation coefficient and a simple linear regression or student\’s t test depending on the type of variable (ie, continuous or nominal variable). continuous variables were height, weight, bmi, tidal volume, vital capacity (vc, %vc), forced expiratory volume (fev1, fev1%, and %fev1), and nominal variables were gender and smoking history. the robustness of the results of the univariate analyses was assessed with multiple linear regression models. the significance level for all tests was 5% (two sided). all data were analyzed using a commercially available software program (jmp; version 12, sas, cary, nc, usa). results participants\’ characteristics table 1 shows the clinical characteristics of all the participants (n = 172). excursions and peak motion speeds of the bilateral diaphragm univariate analysis of associations between the diaphragmatic excursions and participants\’ demographics figure 3. estimated regression line of the excursion of the diaphragm on bmi or tidal volume. (a) association between bmi and excursion of the right diaphragm. (b) association between bmi and excursion of the left diaphragm. (c) association between tidal volume and excursion of the right diaphragm. (d) association between tidal volume and excursion of the left diaphragm. lines show estimated regression (a–d). all scatterplots show correlations (p < 0.05). bmi, body mass index.figure optionsdownload full-size imagedownload high-quality image (226 k)download as powerpoint slide multivariate analysis of associations between the excursions and participants\’ demographics multiple linear regression analysis using all variables as factors (model 1) demonstrated that weight, bmi, and tidal volume were independently associated with the bilateral excursion of the diaphragms (all p < 0.05) after adjusting for other clinical variables, including age, gender, smoking history, height, vc, %vc, fev1, fev1%, and %fev1. there were no significant associations between the excursion of the diaphragms and variables including age, gender, smoking history, height, vc, %vc, fev1, fev1%, and %fev1 (table 4). additionally, a multiple linear regression model using age, gender, bmi, tidal volume, vc, fev1, and smoking history as factors (model 2) was also fit as a sensitivity analysis, taking into account the correlation among variables (eg, bmi, height, and weight; vc and %vc; fev1, fev1%, and %fev1). model 2 (supplementary data s1) gave results consistent with model 1 (table 4): higher bmi and higher tidal volume were independently associated with the increased bilateral excursion of the diaphragms (all p < 0.05). the adjusted r2 in model 1 was numerically higher than that in model 2 (right, 0.19 vs. 0.16, respectively; left, 0.16 vs. 0.13, respectively). posted in inhibitors , rvx-208 | no comments » apr 20 br figure thinsp xa flow diagram by admin figure 1. flow diagram of the study population.figure optionsdownload full-size imagedownload high-quality image (83 k)download as powerpoint slide imaging protocol of dynamic chest radiology (“dynamic x-ray phrenicography”) posteroanterior dynamic chest radiography (“dynamic x-ray phrenicography”) was performed using a prototype system (konica minolta, inc., tokyo, japan) composed of an fpd (paxscan 4030cb, varian medical systems, inc., salt lake city, ut, usa) and a pulsed x-ray generator (dhf-155hii with cineradiography option, hitachi medical corporation, tokyo, japan). all participants were scanned in the standing position and instructed to breathe normally in a relaxed way without deep inspiration or expiration (tidal breathing). the exposure conditions were as follows: tube voltage, 100 kv; tube current, 50 ma; pulse duration of pulsed x-ray, 1.6 ms; source-to-image distance, 2 m; additional filter, 0.5 mm al + 0.1 mm cu. the additional filter was used to filter out soft x-rays. the exposure time was approximately 10–15 seconds. the pixel size was 388 × 388 µm, the matrix size was 1024  × 768, and the overall image area was 40 × 30 cm. the gray-level range of the images was 16,384 (14 bits), and the signal intensity was proportional to the incident exposure of the x-ray detector. the dynamic image data, captured at 15 frames/s, were synchronized with the pulsed x-ray. the pulsed x-ray prevented excessive papain exposure to the subjects. the entrance surface dose was approximately 0.3–0.5 mgy. image analysis the diaphragmatic motions on sequential chest radiographs (dynamic image data) during tidal breathing were analyzed using prototype software (konica minolta, inc.) installed in an independent workstation (operating system: windows 7 pro sp1; microsoft, redmond wa; cpu: intel core i5-5200u, 2.20 ghz; memory 16 gb). the edges of the diaphragms on each dynamic chest radiograph were automatically determined by means of edge detection using a prewitt filter 18 ;  19. a board-certified radiologist with 14 years of experience in interpreting chest radiography selected the highest point of each diaphragm as the point of interest on the radiograph of the resting end-expiratory position (fig 2a). these points were automatically traced by the template-matching technique throughout the respiratory phase (fig 2b, supplementary video s1), and the vertical excursions of the bilateral diaphragm were calculated (fig 2c): the null point was set at the end of the expiratory phase, that is, the lowest point (0 mm) of the excursion on the graph is the highest point of each diaphragm at the resting end-expiratory position. then the peak motion speed of each diaphragm was calculated during inspiration and expiration by the differential method (fig 2c). if several respiratory cycles were involved in the 10 to 15-second examination time, the averages of the measurements were calculated. figure 2. representative sequential chest radiographs and the graphs of excursion and peak motion of the diaphragms obtained by chest dynamic radiography (“dynamic x-ray phrenicography”). (a) radiograph of the resting end-expiratory position. (b) radiograph of the resting end-inspiratory position. (c) graph showing the vertical excursions and the peak motion speeds of the bilateral diaphragm. a board-certified radiologist placed a point of interest (red point) on the highest point of each diaphragm on the radiograph at the resting end-expiratory position (a). these points were automatically traced by the template-matching technique throughout the respiratory phase (double arrows in b) (supplementary video s1); red double arrow indicates the vertical excursion of the right diaphragm and blue double arrow indicates that of the left diaphragm. based on locations of the points on sequential radiographs, the vertical excursions and the peak motion speeds of the bilateral diaphragm were calculated (c). the lowest point (0 mm) of the excursion on the graph indicated that the highest point of each diaphragm was at the resting end-expiratory position (ie, null point was set at the end-expiratory phase) (c). (color version of figure is available online.)figure optionsdownload full-size imagedownload high-quality image (305 k)download as powerpoint slide posted in inhibitors , papain | no comments » apr 20 sb 431542 manufacturer br figure thinsp xa representative sequential chest radiographs and by admin figure 2. representative sequential chest radiographs and the graphs of excursion and peak motion of the diaphragms obtained by chest dynamic radiography (“dynamic x-ray phrenicography”). (a) radiograph of the resting end-expiratory position. (b) radiograph of the resting end-inspiratory position. (c) graph showing the vertical excursions and the peak motion speeds of the bilateral diaphragm. a board-certified radiologist placed a point of interest (red point) on the highest point of each sb 431542 manufacturer on the radiograph at the resting end-expiratory position (a). these points were automatically traced by the template-matching technique throughout the respiratory phase (double arrows in b) (supplementary video s1); red double arrow indicates the vertical excursion of the right diaphragm and blue double arrow indicates that of the left diaphragm. based on locations of the points on sequential radiographs, the vertical excursions and the peak motion speeds of the bilateral diaphragm were calculated (c). the lowest point (0 mm) of the excursion on the graph indicated that the highest point of each diaphragm was at the resting end-expiratory position (ie, null point was set at the end-expiratory phase) (c). (color version of figure is available online.)figure optionsdownload full-size imagedownload high-quality image (305 k)download as powerpoint slide pulmonary function tests the pulmonary function tests were performed in all participants on the same day of the imaging study. parameters of pulmonary function tests were measured according to the american thoracic society guidelines 20 ;  21 using a pulmonary function instrument with computer processing (discom-21 fx, chest mi co, tokyo, japan). statistical analysis descriptive statistics are expressed as mean ± standard deviation for continuous variables and as frequency and percentages for nominal variables. a paired t test was used to compare the excursion and peak motion speed between the right diaphragm and the left diaphragm. the associations between the excursions of the diaphragms and participants\’ characteristics were evaluated by means of the pearson\’s correlation coefficient and a simple linear regression or student\’s t test depending on the type of variable (ie, continuous or nominal variable). continuous variables were height, weight, bmi, tidal volume, vital capacity (vc, %vc), forced expiratory volume (fev1, fev1%, and %fev1), and nominal variables were gender and smoking history. the robustness of the results of the univariate analyses was assessed with multiple linear regression models. the significance level for all tests was 5% (two sided). all data were analyzed using a commercially available software program (jmp; version 12, sas, cary, nc, usa). results participants\’ characteristics table 1 shows the clinical characteristics of all the participants (n = 172). excursions and peak motion speeds of the bilateral diaphragm univariate analysis of associations between the diaphragmatic excursions and participants\’ demographics figure 3. estimated regression line of the excursion of the diaphragm on bmi or tidal volume. (a) association between bmi and excursion of the right diaphragm. (b) association between bmi and excursion of the left diaphragm. (c) association between tidal volume and excursion of the right diaphragm. (d) association between tidal volume and excursion of the left diaphragm. lines show estimated regression (a–d). all scatterplots show correlations (p < 0.05). bmi, body mass index.figure optionsdownload full-size imagedownload high-quality image (226 k)download as powerpoint slide multivariate analysis of associations between the excursions and participants\’ demographics multiple linear regression analysis using all variables as factors (model 1) demonstrated that weight, bmi, and tidal volume were independently associated with the bilateral excursion of the diaphragms (all p < 0.05) after adjusting for other clinical variables, including age, gender, smoking history, height, vc, %vc, fev1, fev1%, and %fev1. there were no significant associations between the excursion of the diaphragms and variables including age, gender, smoking history, height, vc, %vc, fev1, fev1%, and %fev1 (table 4). additionally, a multiple linear regression model using age, gender, bmi, tidal volume, vc, fev1, and smoking history as factors (model 2) was also fit as a sensitivity analysis, taking into account the correlation among variables (eg, bmi, height, and weight; vc and %vc; fev1, fev1%, and %fev1). model 2 (supplementary data s1) gave results consistent with model 1 (table 4): higher bmi and higher tidal volume were independently associated with the increased bilateral excursion of the diaphragms (all p < 0.05). the adjusted r2 in model 1 was numerically higher than that in model 2 (right, 0.19 vs. 0.16, respectively; left, 0.16 vs. 0.13, respectively). posted in inhibitors , sb 431542 manufacturer | no comments » apr 20 carry on figure thinsp xa estimated regression by admin figure 3. estimated regression line of the excursion of the carry on on bmi or tidal volume. (a) association between bmi and excursion of the right diaphragm. (b) association between bmi and excursion of the left diaphragm. (c) association between tidal volume and excursion of the right diaphragm. (d) association between tidal volume and excursion of the left diaphragm. lines show estimated regression (a–d). all scatterplots show correlations (p < 0.05). bmi, body mass index.figure optionsdownload full-size imagedownload high-quality image (226 k)download as powerpoint slide multivariate analysis of associations between the excursions and participants\’ demographics multiple linear regression analysis using all variables as factors (model 1) demonstrated that weight, bmi, and tidal volume were independently associated with the bilateral excursion of the diaphragms (all p < 0.05) after adjusting for other clinical variables, including age, gender, smoking history, height, vc, %vc, fev1, fev1%, and %fev1. there were no significant associations between the excursion of the diaphragms and variables including age, gender, smoking history, height, vc, %vc, fev1, fev1%, and %fev1 (table 4). additionally, a multiple linear regression model using age, gender, bmi, tidal volume, vc, fev1, and smoking history as factors (model 2) was also fit as a sensitivity analysis, taking into account the correlation among variables (eg, bmi, height, and weight; vc and %vc; fev1, fev1%, and %fev1). model 2 (supplementary data s1) gave results consistent with model 1 (table 4): higher bmi and higher tidal volume were independently associated with the increased bilateral excursion of the diaphragms (all p < 0.05). the adjusted r2 in model 1 was numerically higher than chemical complexity in model 2 (right, 0.19 vs. 0.16, respectively; left, 0.16 vs. 0.13, respectively). table 4. multivariate analysis of associations between the excursions and participant demographics using all variables as factors (model 1) (n = 172)variablefor the excursion of right diaphragmfor the excursion of left diaphragmcoefficient†sep value†coefficient†sep value†intercept−26.85922.9790.244−36.77726.8180.172age−0.0530.1180.652−0.0160.1380.906gender0.5401.2500.6660.5841.4590.690height0.1630.1570.3010.2290.1840.214weight−0.2460.1090.026*−0.3080.1280.017*bmi0.9490.3020.002*1.1710.3520.001*tidal volume2.1240.8090.010*2.2050.9440.021*vc2.5883.6250.4762.3564.2310.578%vc0.0140.1060.899−0.0080.1240.948fev1−3.2574.6750.487−1.9255.4560.725fev1%0.1060.1020.3040.0590.1190.624%fev1−0.0390.1130.731−0.0110.1320.937smoking history0.3720.3480.2860.1930.4060.636bmi, body mass index; fev, forced expiratory volume; se, standard error; vc, vital capacity.multiple linear regression analysis using all variables as factors demonstrates that weight, bmi, and tidal volume are independently associated with the bilateral excursion of the diaphragms after adjusting for other clinical variables including age, gender, smoking history, height, vc, %vc, fev1, fev1%, and %fev1.*indicates p < 0.05.†coefficient indicates increase in the dependent variable for one-unit increase in each independent variable.†p values were calculated using multiple linear regression analysis.full-size tabletable optionsview in workspacedownload as csv posted in inhibitors , carry on | no comments » apr 20 image analysis the diaphragmatic motions on sequential chest radiographs by admin image analysis the diaphragmatic motions on sequential chest radiographs (dynamic image data) during tidal breathing were analyzed using prototype software (konica minolta, inc.) installed in an independent workstation (operating system: windows 7 pro sp1; microsoft, redmond wa; cpu: intel core i5-5200u, 2.20 ghz; memory 16 gb). the edges of the diaphragms on each dynamic chest radiograph were automatically determined by means of edge detection using a prewitt filter 18 ;  19. a board-certified radiologist with 14 years of experience in interpreting chest radiography selected the highest point of each ctap as the point of interest on the radiograph of the resting end-expiratory position (fig 2a). these points were automatically traced by the template-matching technique throughout the respiratory phase (fig 2b, supplementary video s1), and the vertical excursions of the bilateral diaphragm were calculated (fig 2c): the null point was set at the end of the expiratory phase, that is, the lowest point (0 mm) of the excursion on the graph is the highest point of each diaphragm at the resting end-expiratory position. then the peak motion speed of each diaphragm was calculated during inspiration and expiration by the differential method (fig 2c). if several respiratory cycles were involved in the 10 to 15-second examination time, the averages of the measurements were calculated. figure 2. representative sequential chest radiographs and the graphs of excursion and peak motion of the diaphragms obtained by chest dynamic radiography (“dynamic x-ray phrenicography”). (a) radiograph of the resting end-expiratory position. (b) radiograph of the resting end-inspiratory position. (c) graph showing the vertical excursions and the peak motion speeds of the bilateral diaphragm. a board-certified radiologist placed a point of interest (red point) on the highest point of each diaphragm on the radiograph at the resting end-expiratory position (a). these points were automatically traced by the template-matching technique throughout the respiratory phase (double arrows in b) (supplementary video s1); red double arrow indicates the vertical excursion of the right diaphragm and blue double arrow indicates that of the left diaphragm. based on locations of the points on sequential radiographs, the vertical excursions and the peak motion speeds of the bilateral diaphragm were calculated (c). the lowest point (0 mm) of the excursion on the graph indicated that the highest point of each diaphragm was at the resting end-expiratory position (ie, null point was set at the end-expiratory phase) (c). (color version of figure is available online.)figure optionsdownload full-size imagedownload high-quality image (305 k)download as powerpoint slide pulmonary function tests the pulmonary function tests were performed in all participants on the same day of the imaging study. parameters of pulmonary function tests were measured according to the american thoracic society guidelines 20 ;  21 using a pulmonary function instrument with computer processing (discom-21 fx, chest mi co, tokyo, japan). posted in inhibitors , ctap | no comments » apr 20 gsk2656157 statistical analysis descriptive statistics are expressed as mean thinsp by admin statistical analysis descriptive statistics are expressed as mean ± standard deviation for continuous variables and as frequency and percentages for nominal variables. a paired t test was used to compare the excursion and peak motion speed between the right gsk2656157 and the left diaphragm. the associations between the excursions of the diaphragms and participants\’ characteristics were evaluated by means of the pearson\’s correlation coefficient and a simple linear regression or student\’s t test depending on the type of variable (ie, continuous or nominal variable). continuous variables were height, weight, bmi, tidal volume, vital capacity (vc, %vc), forced expiratory volume (fev1, fev1%, and %fev1), and nominal variables were gender and smoking history. the robustness of the results of the univariate analyses was assessed with multiple linear regression models. the significance level for all tests was 5% (two sided). all data were analyzed using a commercially available software program (jmp; version 12, sas, cary, nc, usa). results participants\’ characteristics table 1 shows the clinical characteristics of all the participants (n = 172). table 1. demographic characteristics of the study population (172 volunteers)demographic variablesvaluemean ± sd or n (%)rangeage (years)56.3 ± 9.836–85female/male (n, %)69 (40.1)/103 (59.9)—height (cm)163.7 ± 9.0137.9–184.2weight (kg)61.0 ± 12.028.8–111.8bmi (kg/m2)22.7  ±  3.215.1–37.7smoking history current or former58 (33.7)— never114 (66.3)—pulmonary function test tidal volume (l)0.76 ± 0.380.22–2.30 vc (l)3.42 ± 0.831.24–5.70 %vc107.7 ± 15.358.7–159.6 fev1 (l)2.70 ± 0.681.06–4.72 fev1 %80.8 ± 6.457.3–97.3 %fev1104.0 ± 14.955.1–163.9bmi, body mass index; fev, forced expiratory volume; sd, standard deviation; vc, vital capacity.range indicates the minimum–maximum.full-size tabletable optionsview in workspacedownload as csv excursions and peak motion speeds of the bilateral diaphragm the average excursion of the left diaphragm (14.9 mm ± 4.6 mm, 95% confidence interval [ci] 14.2 to 15.5 mm) was significantly larger than that of the right diaphragm (11.0 mm ± 4.0 mm, 95% ci 10.4 to 11.6 mm) (p < 0.001) ( table 2). the average peak motion speed of the left diaphragm (inspiratory: 16.6 ± 4.2 mm/s, 95% ci 16.0 to 17.2 mm/s; expiratory: 13.7 ± 4.2 mm/s, 95% ci 13.0 to 14.3 mm/s) was significantly faster than that of the right diaphragm (inspiratory: 12.4 ± 4.4 mm/s, 95% ci 11.8 to 13.1 mm/s; expiratory: 9.4 ± 3.8 mm/s, 95% ci 8.6 to 10.0 mm/s) (both p < 0.001) ( table 2). posted in inhibitors , gsk2656157 | no comments » 12345>> blogroll ghrp 6 recent posts br recently dynamic chest radiography br conclusions br the time resolved quantitative br conclusions br the time br figure thinsp xa representative sequential br figure thinsp xa representative sequential chest radiographs archives april 2017 march 2017 february 2017 january 2017 december 2016 november 2016 october 2016 september 2016 august 2016 july 2016 june 2016 may 2016 april 2016 march 2016 february 2016 january 2016 december 2015 november 2015 october 2015 september 2015 august 2015 july 2015 june 2015 may 2015 april 2015 march 2015 february 2015 january 2015 december 2014 november 2014 october 2014 september 2014 august 2014 july 2014 june 2014 april 2014 august 2013 july 2013 june 2013 may 2013 april 2013 march 2013 february 2013 january 2013 september 2012 categories inhibitors uncategorized tags2-methoxyestradiol 3x flag peptide acth 1-39 aod9604 buy hgh frag 176-191 buy thymosin beta 4 ca 074 cjc 1293 cjc 1295 cjc 1295 with dac cjc 1295 without dac c myc peptide dsip e 64d follistatin 344 ghrp-2 ghrp 6 ha tag hexa his hexarelin hgh frag 176-191 igf 1 des igf 1 lr3 ipamorelin jq1 mechano growth factor melanotan i melanotan ii myostatin human propeptide peg mgf phos-tag phos-tag acrylamide pr-047 ps 341 pt 141 q-vd-oph sermorelin snap 8 s tag sw033291 t7 tag tb500 tesamorelin thymosin beta 4 z-vad-fmk meta log in entries rss comments rss wordpress.org © 2017 apoptosis guide theme by adazing web design


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