967 resultados para Heavy-quark


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BACKGROUND: Brief motivational intervention (BMI) has shown promising results to reduce alcohol use in young adults. Knowledge on mechanisms that predict BMI efficacy could potentially improve treatment effect sizes through data that optimize clinical training and implementation. Particularly, little attention has been given to counselor influence on treatment mechanisms. METHODS: We investigated the influence of counselors on BMI efficacy in reducing alcohol use among non-treatment-seeking young men (age 20) screened as hazardous drinkers. Participants were randomly allocated to (i) a group receiving a single BMI from 1 of 18 counselors selected to maximize differences in several of their characteristics (gender, professional status, clinical experience, and motivational interviewing [MI] experience) or (ii) a control group receiving assessment only. Drinking at 3-month follow-up was first compared between the BMI and control groups to assess efficacy. Then, the influence of counselors' characteristics (i.e., gender, professional status, clinical experience, MI experience, BMI attitudes, and expectancies) and within-session behaviors (i.e., measured by the Motivational Interviewing Skill Code) on outcome was tested in regression analyses. RESULTS: There was a significant (p = 0.02) decrease in alcohol use among the BMI group compared to the control group. Counselors that were male, more experienced, that had more favorable BMI attitudes and expectancies, higher MI skills, but surprisingly less MI-consistent behaviors, had significantly better outcomes than the control group while their counterparts did not. CONCLUSIONS: The current study demonstrated BMI efficacy on alcohol use reduction within a sample of non-treatment-seeking young adult males. Moreover, BMI effect was related to interindividual differences among counselors, and results therefore provide recommendations for BMI training and implementation with similar populations.

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OBJECTIVE: To assess the impact of instructional guidance in the regular use of use nicotine nasal spray (NNS) on the true use of NNS during the first three weeks of smoking cessation for heavy smokers who are willing to quit. METHODS: This randomized, open, controlled trial included 50 patients who were heavy smokers, were willing to quit, and attending an academic outpatient clinic in Western Switzerland. Patients were randomised to instruction on NNS use as "ad libitum" (administration whenever cravings appear; control group) or to use NNS when craving appears and at least every hour when awake (intervention group). Intakes were monitored using an electronic device fixed in the spray unit (MDILog) during the first three weeks of use. Self reported abstinence from smoking at six months was confirmed by expired-air carbon monoxide. Using intention-to-treat analysis, random-effect GLS regression was used to calculate the mean difference of daily doses between groups controlling for lack of independence between measures from the same individual. RESULTS: One patient was lost to follow-up. At baseline randomization, the group receiving instruction to use NNS hourly included more women, patients with previous desires to quit, and patients with more psychiatric comorbidities and less somatic complaints compared to the group instructed to use NNS with cravings (group imbalance). Both groups self-administered more than the daily recommended dosage of 8 uses. Mean daily usage was 13.6 dose/day and 11.1 dose/day for the group instructed to use NNS hourly and with cravings, respectively. Adjusting for baseline imbalance, the increased daily doses in the intervention group (hourly use) remained nonsignificant compared to ad libitum use (-0.5 dose/day; CI 95% -6.2; 5.3, from day 1 to day 7; and 2.3 dose/day; CI 95% -5.4; 10.0, from day 8 to day 21). Instructing patients to use the NNS daily had no effect on smoking cessation at six months (RR = 0.69; CI 95% 0.34; 1.39). CONCLUSION: Heavy smokers willing to quit use NNS frequently, regardless of the instructions given. Recommending the use of NNS only when craving appears for heavy smokers willing to quit seems acceptable compared to prescribing hourly administration. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00861276.

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Inconsistencies about dynamic asymmetry between the on- and off-transient responses in VO2 are found in the literature. Therefore the purpose of this study was to examine VO2 on- and off-transients during moderate- and heavy-intensity cycling exercise in trained subjects. Ten men underwent an initial incremental test for the estimation of ventilatory threshold (VT) and, on different days, two bouts of square-wave exercise at moderate (<VT) and heavy (>VT) intensities. VO2 kinetics in exercise and recovery were better described by a single exponential model (<VT), or by a double exponential with two time delays (>VT). For moderate exercise, we found a symmetry of VO2 kinetics between the on- and off-transients (i.e., fundamental component), consistent with a system manifesting linear control dynamics. For heavy exercise, a slow component superimposed on the fundamental phase was expressed in both the exercise and recovery, with similar parameter estimates. But the on-transient values of the time constant were appreciably faster than the associated off-transient, and independent of the work rate imposed (<VT and >VT). Our results do not support a dynamically linear system model of VO2 during cycling exercise in the heavy-intensity domain.

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A novel monoclonal antibody, M7, is described, that reacts on Western blots with the large subunit of the neurofilament triplet proteins (NF-H) and with striated muscle myosin of Xenopus laevis. Enzymatically digested neurofilament and myosin proteins revealed different immunoreactive peptide fragments on Western blots. Therefore, the antibody must react with immunologically related epitopes common to both proteins. Immunohistochemistry showed staining of large and small axons in CNS and PNS, and nerves could be followed into endplate regions of skeletal muscles. These muscles were characterized by a striated immunostaining of the M-lines. Despite the crossreactivity of M7 with NF-H and muscle myosin, this antibody may be a tool to study innervation of muscle fibers, and to define changes in the neuromuscular organization during early development and metamorphosis of tadpoles.

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Some forensic and clinical circumstances require knowledge of the frequency of drug use. Care of the patient, administrative, and legal consequences will be different if the subject is a regular or an occasional cannabis smoker. To this end, 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (THCCOOH) has been proposed as a criterion to help to distinguish between these two groups of users. However, to date this indicator has not been adequately assessed under experimental conditions. We carried out a controlled administration study of smoked cannabis with a placebo. Cannabinoid levels were determined in whole blood using tandem mass spectrometry. Significantly high differences in THCCOOH concentrations were found between the two groups when measured during the screening visit, prior to the smoking session, and throughout the day of the experiment. Receiver operating characteristic (ROC) curves were determined and two threshold criteria were proposed in order to distinguish between these groups: a free THCCOOH concentration below 3 µg/L suggested an occasional consumption (≤ 1 joint/week) while a concentration higher than 40 µg/L corresponded to a heavy use (≥ 10 joints/month). These thresholds were tested and found to be consistent with previously published experimental data. The decision threshold of 40 µg/L could be a cut-off for possible disqualification for driving while under the influence of cannabis. A further medical assessment and follow-up would be necessary for the reissuing of a driving license once abstinence from cannabis has been demonstrated. A THCCOOH level below 3 µg/L would indicate that no medical assessment is required. Copyright © 2013 John Wiley & Sons, Ltd.

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Reliable estimates of heavy-truck volumes are important in a number of transportation applications. Estimates of truck volumes are necessary for pavement design and pavement management. Truck volumes are important in traffic safety. The number of trucks on the road also influences roadway capacity and traffic operations. Additionally, heavy vehicles pollute at higher rates than passenger vehicles. Consequently, reliable estimates of heavy-truck vehicle miles traveled (VMT) are important in creating accurate inventories of on-road emissions. This research evaluated three different methods to calculate heavy-truck annual average daily traffic (AADT) which can subsequently be used to estimate vehicle miles traveled (VMT). Traffic data from continuous count stations provided by the Iowa DOT were used to estimate AADT for two different truck groups (single-unit and multi-unit) using the three methods. The first method developed monthly and daily expansion factors for each truck group. The second and third methods created general expansion factors for all vehicles. Accuracy of the three methods was compared using n-fold cross-validation. In n-fold cross-validation, data are split into n partitions, and data from the nth partition are used to validate the remaining data. A comparison of the accuracy of the three methods was made using the estimates of prediction error obtained from cross-validation. The prediction error was determined by averaging the squared error between the estimated AADT and the actual AADT. Overall, the prediction error was the lowest for the method that developed expansion factors separately for the different truck groups for both single- and multi-unit trucks. This indicates that use of expansion factors specific to heavy trucks results in better estimates of AADT, and, subsequently, VMT, than using aggregate expansion factors and applying a percentage of trucks. Monthly, daily, and weekly traffic patterns were also evaluated. Significant variation exists in the temporal and seasonal patterns of heavy trucks as compared to passenger vehicles. This suggests that the use of aggregate expansion factors fails to adequately describe truck travel patterns.

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The effects of estrogens and gestagens on veins and circulation have been studied since prescription of these hormones as oral contraception and description of related thromboembolic events. The identification of different receptors and the description of these receptors in venous walls have helped to understand some hormonal effects. However, the actual knowledge remains insufficient to explain the complexity of the actions of hormones on venous function. The distribution, the density and the receptor types vary with age, gender, hormonal status and vascular bed. Gestagens mainly reduce the tone of venous walls, whereas estrogens have various effects. Between 25% and 50% of European adults and even 80% or more in some risk groups complain about heavy legs, with or without chronic venous insufficiency. The number of women to whom hormonal substitution is or could be prescribed increases along with aging of populations and the better understanding of potential benefits. The need for a better understanding of vascular effects of sexual hormones is growing, since the incidence of chronic venous insufficiency of the legs increases with age. The life prognosis will not be affected by a deterioration of a chronic venous insufficiency. In contrast, the quality of life, morbidity and the cost of treatment will be expected to change. In addition, thromboembolic events have to be considered, as has been shown in recent studies. These findings outline the need for further studies on the relation between hormones and venous function and for some caution when prescribing hormonal substitution.

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El presente estudio expone los resultados del tema desarrollado en la línea investigativa de culturas urbanas contemporáneas y procesos comunicacionales. Trabajo que describe (construye) el arquetipo del aficionado al heavy metal en España.

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We establish the validity of subsampling confidence intervals for themean of a dependent series with heavy-tailed marginal distributions.Using point process theory, we study both linear and nonlinear GARCH-liketime series models. We propose a data-dependent method for the optimalblock size selection and investigate its performance by means of asimulation study.

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We address the problem of scheduling a multiclass $M/M/m$ queue with Bernoulli feedback on $m$ parallel servers to minimize time-average linear holding costs. We analyze the performance of a heuristic priority-index rule, which extends Klimov's optimal solution to the single-server case: servers select preemptively customers with larger Klimov indices. We present closed-form suboptimality bounds (approximate optimality) for Klimov's rule, which imply that its suboptimality gap is uniformly bounded above with respect to (i) external arrival rates, as long as they stay within system capacity;and (ii) the number of servers. It follows that its relativesuboptimality gap vanishes in a heavy-traffic limit, as external arrival rates approach system capacity (heavy-traffic optimality). We obtain simpler expressions for the special no-feedback case, where the heuristic reduces to the classical $c \mu$ rule. Our analysis is based on comparing the expected cost of Klimov's ruleto the value of a strong linear programming (LP) relaxation of the system's region of achievable performance of mean queue lengths. In order to obtain this relaxation, we derive and exploit a new set ofwork decomposition laws for the parallel-server system. We further report on the results of a computational study on the quality of the $c \mu$ rule for parallel scheduling.