949 resultados para detecting of beam profile


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The study investigated the predictive utility of interest profile differentiation, coherence, elevation, congruence, and vocational identity commitment and career maturity (career planning and exploration) on the 10-month interest stability of 292 Swiss eighth-grade students: profile, rank, and level stabilities were assessed. Controlling for socio-demographic and vocational interest type variables, measures of differentiated and coherent vocational interests were significant predictors of profile stability. Interest elevation predicted more rank and level stability. The career development variables explained only a non-significant additional amount of variance in the different stability measures.

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Recent years have led to increasing interest and appreciation of the possible importance of single cell heterogeneity in various biological processes. One of the examples of phenotypic heterogeneity in bacterial populations is antibiotic tolerant persister cells. Such an antibiotic tolerance phenotype is of considerable clinical relevance since dormant bacteria can re-establish infections rapidly after the antibiotic treatment has been terminated. Up to now mechanisms for establishing the persistence phenomenon in bacteria have remained largely enigmatic. Persisters are cells considered to be in a dormant state with down regulated gene expression. Only recently small regulatory RNAs (sRNAs) have been appreciated as important regulators of gene expression in response to environmental stimuli and several theoretical studies have suggested a possible involvement of sRNAs in the mechanisms of regulated heterogeneity in bacteria. We have experimentally addressed this potential link between sRNAs and persistence/dormancy in E. coli as an example of heterogeneity. Beside classical sRNAs we are focusing also on sRNAs directly associating with and possibly regulating the ribosome, the central enzyme of gene expression. The persister and dormant cell specific sRNA profile is studied by the comparative analysis of sRNA profile changes of the whole bacterial population after antibiotic killing. From RNA-Seq data ~ 25 000 potentially stable RNA fragments were identified and initial analysis predicted ~300 of them to be dormant/persister cell specific. After further evaluation the most prominent dormant/persister cell specific sRNAs are functionally characterized and their potential role in the persistence/dormancy will be evaluated by applying genetic, molecular and biochemical tools. The potential results of this project will provide a better understanding on the molecular mechanism of bacterial persistence/dormancy and on the role of ribosome-bound sRNA molecules in fine-tuning gene expression.

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Recent years have led to increasing interest and appreciation of the possible importance of single cell heterogeneity in various biological processes. One of the examples of phenotypic heterogeneity in bacterial populations is antibiotic tolerant persister cells. Such an antibiotic tolerance phenotype is of considerable clinical relevance since dormant bacteria can re-establish infections rapidly after the antibiotic treatment has been terminated. Up to now mechanisms for establishing the persistence phenomenon in bacteria have remained largely enigmatic. Persisters are cells considered to be in a dormant state with down regulated gene expression. Only recently small regulatory RNAs (sRNAs) have been appreciated as important regulators of gene expression in response to environmental stimuli and several theoretical studies have suggested a possible involvement of sRNAs in the mechanisms of regulated heterogeneity in bacteria. We have experimentally addressed this potential link between sRNAs and persistence/dormancy in E. coli as an example of heterogeneity. Beside classical sRNAs we are focusing also on sRNAs directly associating with and possibly regulating the ribosome, the central enzyme of gene expression. The persister and dormant cell specific sRNA profile is studied by the comparative analysis of sRNA profile changes of the whole bacterial population after antibiotic killing. From RNA-Seq data ~ 25 000 potentially stable RNA fragments were identified and initial analysis predicted ~300 of them to be dormant/persister cell specific. After further evaluation the most prominent dormant/persister cell specific sRNAs are functionally characterized and their potential role in the persistence/dormancy will be evaluated by applying genetic, molecular and biochemical tools. The potential results of this project will provide a better understanding on the molecular mechanism of bacterial persistence/dormancy and on the role of ribosome-bound sRNA molecules in fine-tuning gene expression.

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Recent years have led to increasing interest and appreciation of the possible importance of single cell heterogeneity in various biological processes. One of the examples of phenotypic heterogeneity in bacterial populations is antibiotic tolerant persister cells. Such an antibiotic tolerance phenotype is of considerable clinical relevance since dormant bacteria can re-establish infections rapidly after the antibiotic treatment has been terminated. Up to now mechanisms for establishing the persistence phenomenon in bacteria have remained largely enigmatic. Persisters are cells considered to be in a dormant state with down regulated gene expression. Only recently small regulatory RNAs (sRNAs) have been appreciated as important regulators of gene expression in response to environmental stimuli and several theoretical studies have suggested a possible involvement of sRNAs in the mechanisms of regulated heterogeneity in bacteria. We have experimentally addressed this potential link between sRNAs and persistence/dormancy in E. coli as an example of heterogeneity. Beside classical sRNAs we are focusing also on sRNAs directly associating with and possibly regulating the ribosome, the central enzyme of gene expression. The persister and dormant cell specific sRNA profile is studied by the comparative analysis of sRNA profile changes of the whole bacterial population after antibiotic killing. From RNA-Seq data ~ 25 000 potentially stable RNA fragments were identified and initial analysis predicted ~300 of them to be dormant/persister cell specific. After further evaluation the most prominent dormant/persister cell specific sRNAs are functionally characterized and their potential role in the persistence/dormancy will be evaluated by applying genetic, molecular and biochemical tools. The potential results of this project will provide a better understanding on the molecular mechanism of bacterial persistence/dormancy and on the role of ribosome-bound sRNA molecules in fine-tuning gene expression.

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Pencil beam scanned (PBS) proton therapy has many advantages over conventional radiotherapy, but its effectiveness for treating mobile tumours remains questionable. Gating dose delivery to the breathing pattern is a well-developed method in conventional radiotherapy for mitigating tumour-motion, but its clinical efficiency for PBS proton therapy is not yet well documented. In this study, the dosimetric benefits and the treatment efficiency of beam gating for PBS proton therapy has been comprehensively evaluated. A series of dedicated 4D dose calculations (4DDC) have been performed on 9 different 4DCT(MRI) liver data sets, which give realistic 4DCT extracting motion information from 4DMRI. The value of 4DCT(MRI) is its capability of providing not only patient geometries and deformable breathing characteristics, but also includes variations in the breathing patterns between breathing cycles. In order to monitor target motion and derive a gating signal, we simulate time-resolved beams' eye view (BEV) x-ray images as an online motion surrogate. 4DDCs have been performed using three amplitude-based gating window sizes (10/5/3 mm) with motion surrogates derived from either pre-implanted fiducial markers or the diaphragm. In addition, gating has also been simulated in combination with up to 19 times rescanning using either volumetric or layered approaches. The quality of the resulting 4DDC plans has been quantified in terms of the plan homogeneity index (HI), total treatment time and duty cycle. Results show that neither beam gating nor rescanning alone can fully retrieve the plan homogeneity of the static reference plan. Especially for variable breathing patterns, reductions of the effective duty cycle to as low as 10% have been observed with the smallest gating rescanning window (3 mm), implying that gating on its own for such cases would result in much longer treatment times. In addition, when rescanning is applied on its own, large differences between volumetric and layered rescanning have been observed as a function of increasing number of re-scans. However, once gating and rescanning is combined, HI to within 2% of the static plan could be achieved in the clinical target volume, with only moderately prolonged treatment times, irrespective of the rescanning strategy used. Moreover, these results are independent of the motion surrogate used. In conclusion, our results suggest image guided beam gating, combined with rescanning, is a feasible, effective and efficient motion mitigation approach for PBS-based liver tumour treatments.

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Application of pressure-driven laminar flow has an impact on zone and boundary dispersion in open tubular CE. The GENTRANS dynamic simulator for electrophoresis was extended with Taylor-Aris diffusivity which accounts for dispersion due to the parabolic flow profile associated with pressure-driven flow. Effective diffusivity of analyte and system zones as functions of the capillary diameter and the amount of flow in comparison to molecular diffusion alone were studied for configurations with concomitant action of imposed hydrodynamic flow and electroosmosis. For selected examples under realistic experimental conditions, simulation data are compared with those monitored experimentally using modular CE setups featuring both capacitively coupled contactless conductivity and UV absorbance detection along a 50 μm id fused-silica capillary of 90 cm total length. The data presented indicate that inclusion of flow profile based Taylor-Aris diffusivity provides realistic simulation data for analyte and system peaks, particularly those monitored in CE with conductivity detection.

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In this study we examined the spatial and temporal variability of particulate organic material (POM) off Oregon during the upwelling season. High-resolution vertical profiling of beam attenuation was conducted along two cross-shelf transects. One transect was located in a region where the shelf is relatively uniform and narrow (off Cascade Head (CH)); the second transect was located in a region where the shelf is shallow and wide (off Cape Perpetua (CP)). In addition, water samples were collected for direct analysis of chlorophyll, particulate organic carbon (POC), and particulate organic nitrogen (PON). Beam attenuation was highly correlated with POC and PON. Striking differences in distribution patterns and characteristics of POM were observed between CH and CP. Off CH, elevated concentrations of chlorophyll and POC were restricted to the inner shelf and were highly variable in time. The magnitude of the observed short-term temporal variability was of the same order as that of the seasonal variability reported in previous studies. Elevated concentrations of nondegraded chlorophyll and POM were observed near the bottom. Downwelling and rapid sinking are two mechanisms by which phytoplankton cells can be delivered to the bottom before being degraded. POM may be then transported across the shelf via the benthic nepheloid layer. Along the CP transect, concentrations of POM were generally higher than they were along the CH transect and extended farther across the shelf. Characteristics of surface POM, namely, C: N ratios and carbon: chlorophyll ratios, differed between the two sites. These differences can be attributed to differences in shelf circulation.

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With the development of the water calorimeter direct measurement of absorbed dose in water becomes possible. This could lead to the establishment of an absorbed dose rather than an exposure related standard for ionization chambers for high energy electrons and photons. In changing to an absorbed dose standard it is necessary to investigate the effect of different parameters, among which are the energy dependence, the air volume, wall thickness and material of the chamber. The effect of these parameters is experimentally studied and presented for several commercially available chambers and one experimental chamber, for photons up to 25 MV and electrons up to 20 MeV, using a water calorimeter as the absorbed dose standard and the most recent formalism to calculate the absorbed dose with ion chambers.^ For electron beams, the dose measured with the calorimeter was 1% lower than the dose calculated with the chambers, independent of beam energy and chamber.^ For photon beams, the absorbed dose measured with the calorimeter was 3.8% higher than the absorbed dose calculated from the chamber readings. Such differences were found to be chamber and energy independent.^ The results for the photons were found to be statistically different from the results with the electron beams. Such difference could not be attributed to a difference in the calorimeter response. ^

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The current standard treatment for head and neck cancer at our institution uses intensity-modulated x-ray therapy (IMRT), which improves target coverage and sparing of critical structures by delivering complex fluence patterns from a variety of beam directions to conform dose distributions to the shape of the target volume. The standard treatment for breast patients is field-in-field forward-planned IMRT, with initial tangential fields and additional reduced-weight tangents with blocking to minimize hot spots. For these treatment sites, the addition of electrons has the potential of improving target coverage and sparing of critical structures due to rapid dose falloff with depth and reduced exit dose. In this work, the use of mixed-beam therapy (MBT), i.e., combined intensity-modulated electron and x-ray beams using the x-ray multi-leaf collimator (MLC), was explored. The hypothesis of this study was that addition of intensity-modulated electron beams to existing clinical IMRT plans would produce MBT plans that were superior to the original IMRT plans for at least 50% of selected head and neck and 50% of breast cases. Dose calculations for electron beams collimated by the MLC were performed with Monte Carlo methods. An automation system was created to facilitate communication between the dose calculation engine and the treatment planning system. Energy and intensity modulation of the electron beams was accomplished by dividing the electron beams into 2x2-cm2 beamlets, which were then beam-weight optimized along with intensity-modulated x-ray beams. Treatment plans were optimized to obtain equivalent target dose coverage, and then compared with the original treatment plans. MBT treatment plans were evaluated by participating physicians with respect to target coverage, normal structure dose, and overall plan quality in comparison with original clinical plans. The physician evaluations did not support the hypothesis for either site, with MBT selected as superior in 1 out of the 15 head and neck cases (p=1) and 6 out of 18 breast cases (p=0.95). While MBT was not shown to be superior to IMRT, reductions were observed in doses to critical structures distal to the target along the electron beam direction and to non-target tissues, at the expense of target coverage and dose homogeneity. ^

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The purpose of this research is to develop a new statistical method to determine the minimum set of rows (R) in a R x C contingency table of discrete data that explains the dependence of observations. The statistical power of the method will be empirically determined by computer simulation to judge its efficiency over the presently existing methods. The method will be applied to data on DNA fragment length variation at six VNTR loci in over 72 populations from five major racial groups of human (total sample size is over 15,000 individuals; each sample having at least 50 individuals). DNA fragment lengths grouped in bins will form the basis of studying inter-population DNA variation within the racial groups are significant, will provide a rigorous re-binning procedure for forensic computation of DNA profile frequencies that takes into account intra-racial DNA variation among populations. ^

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The electron pencil-beam redefinition algorithm (PBRA) of Shiu and Hogstrom has been developed for use in radiotherapy treatment planning (RTP). Earlier studies of Boyd and Hogstrom showed that the PBRA lacked an adequate incident beam model, that PBRA might require improved electron physics, and that no data existed which allowed adequate assessment of the PBRA-calculated dose accuracy in a heterogeneous medium such as one presented by patient anatomy. The hypothesis of this research was that by addressing the above issues the PBRA-calculated dose would be accurate to within 4% or 2 mm in regions of high dose gradients. A secondary electron source was added to the PBRA to account for collimation-scattered electrons in the incident beam. Parameters of the dual-source model were determined from a minimal data set to allow ease of beam commissioning. Comparisons with measured data showed 3% or better dose accuracy in water within the field for cases where 4% accuracy was not previously achievable. A measured data set was developed that allowed an evaluation of PBRA in regions distal to localized heterogeneities. Geometries in the data set included irregular surfaces and high- and low-density internal heterogeneities. The data was estimated to have 1% precision and 2% agreement with accurate, benchmarked Monte Carlo (MC) code. PBRA electron transport was enhanced by modeling local pencil beam divergence. This required fundamental changes to the mathematics of electron transport (divPBRA). Evaluation of divPBRA with the measured data set showed marginal improvement in dose accuracy when compared to PBRA; however, 4% or 2mm accuracy was not achieved by either PBRA version for all data points. Finally, PBRA was evaluated clinically by comparing PBRA- and MC-calculated dose distributions using site-specific patient RTP data. Results show PBRA did not agree with MC to within 4% or 2mm in a small fraction (<3%) of the irradiated volume. Although the hypothesis of the research was shown to be false, the minor dose inaccuracies should have little or no impact on RTP decisions or patient outcome. Therefore, given ease of beam commissioning, documentation of accuracy, and calculational speed, the PBRA should be considered a practical tool for clinical use. ^

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Pollen analysis of samples taken from the core of the water well Fersina 2 (Adige Valley, Prov. Trento, NE Italy) did not reveal any indication of an interglacial or Holocene age of the uppermost 190 m in the sediment sequence deposited in the over-deepened Adige River Valley. The sediment sequence dates entirely from late-glacial times. Four radiocarbon ages of pieces of wood indicate that about 165 m of the upper part of the profile are of Younger Dryas age. The lower part of the sequence dates from the Allerød or Bølling/Allerød and a preceding cold phase, probably the Oldest Dryas. Accordingly the deposition of the sequence took about 2500 or 3500 years and was completed long before the onset of the Neolithic. Our results are in excellent agreement with findings in other formerly glaciated alpine valleys (e.g. the Traun, Salzach and Enns valleys in the Northern Alps). The final depth of the Fersina 2 well is 190 m. It is very likely that the sediment sequence found below this level in the nearby 423 m deep Fersina 1 well was also deposited after the deglaciation of the Adige Valley at the end of the last glacial period.