974 resultados para Lane use control signals.


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The major problem with durability of asphalt cement concrete (ACC) overlays to rehabilitate jointed portland cement concrete (PCC) pavement comes from reflective cracking. The objective of this research was to evaluate the effectiveness of Glasgrid in regard to preventing reflection cracking. Glasgrid is a glass fiber mesh with 1/2 inch by 1 inch openings (Figure 1). Each strand is composed of many small glass fibers. After the grid is formed, it is coated with a polymer modified asphalt cement. In 1986, four experimental Glasgrid test sections were incorporated into Polk County project IR-35-2(191)67--12-77 on Interstate 35 from IA 5 to the west 1-80 interchange on the west edge of Des Moines, Single and double layers of Glasgrid were placed over transverse cracks and joints of the existing PCC pavement. The Glasgrid was placed on the PCC pavement for one section and between lifts of the ACC resurfacing on the other three sections. The four Glasgrid sections were compared to two sections without Glasgrid for four years. The sections were reviewed annually to determine how many cracks or joints had reflected through the resurfacing. Glasgrid placed on the PCC pavement was more effective at preventing reflection cracking than Glasgrid between lifts of AC resurfacing. In general, Glasgrid yielded a small reduction or retardation in the amount of reflection cracking, but not sufficient to justify additional expense for the use of Glasgrid.

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Reflective cracking of asphalt resurfacing has been a concern for a long time. Years ago wire mesh was used to control widening cracks. More recently it has been fabrics or fiberglass. In 1986, part of the proposed fabric was deleted from projects in different parts of Iowa with various histories and designs. These projects were monitored in 1988, 1989, 1990 and 1992 with only the thin (3 inch) overlays on newly widened pavements showing a significantly greater percentage of cracks in the areas where the fabric was deleted.

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This report discusses the feasibility of using infrared photoacoustic spectroscopy (PAS) as a viable technique that can quickly provide information on cement composition prior to use. The PAS technique is of interest because the cost is much lower than for other types of instrumentation used for mineral analysis, it requires virtually no sample preparation, and it can perform multi-component analysis in a matter of minutes. Feasibility of the technique was based on the ability of PAS to identify and quantify sulfate species and major cement matrix components. Strengths and limitations of the technique are presented.

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The objective of this research was to determine whether the level of parental monitoring is associated with substance use among adolescents in Switzerland, and to assess whether this effect remains when these adolescents have consuming peers. For this purpose, we used a nationally representative sample from the Swiss participation in the 2007 European School Project on Alcohol and Other Drugs survey, which included 7,611 adolescents in public schools (8th-10th grades). Four levels of parental control were created and four substances (tobacco, alcohol, cannabis, and ecstasy) were analyzed. All significant variables at the bivariate level were included in the multivariate analysis. Most adolescents had a high level of parental monitoring and that was associated with younger age, females, high socioeconomic status, intact family structure, and satisfactory relationships with mother, father, and peers. Overall, substance use decreased as parental monitoring increased and high parental monitoring decreased as having consuming peers increased. Results remained essentially the same when the variable "having consuming peers" was added to the analysis. Conclusion: parental monitoring is associated to positive effects on adolescent substance use with a reduction of consumption and a lower probability of having consuming peers, which seems to protect adolescents against potentially negative peer influence. Encouraging parents to monitor their adolescents' activities and friendships by establishing rules about what is allowed or not is a way to limit the negative influence of consuming peers on adolescent substance use.

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AIM: The goal of the present work was to compare outcomes of definitive concurrent cisplatin-based chemoradiotherapy (CRT) with cetuximab-based bioradiotherapy (BRT) in locally advanced head-and-neck squamous cell carcinoma (HNSCC). PATIENTS AND METHODS: Between 2006 and 2012, 265 patients with locally advanced HNSCC were treated at our institution with CRT (n = 194; 73 %) with three cycles of cisplatin (100 mg/m(2), every 3 weeks) or BRT (n = 71; 27 %) with weekly cetuximab. Patients receiving BRT had more pre-existing conditions (Charlson index ≥ 2) than the CRT group (p = 0.005). RESULTS: Median follow-up was 29 months. In all, 56 % of patients treated with CRT received the planned three cycles (92 % at least two cycles) and 79 % patients treated with BRT received six cycles or more. The 2-year actuarial overall survival (OS) and progression-free survival (PFS) were 72 % and 61 %, respectively. In the multivariate analysis (MVA), T4 stage, N2-3 stage, smoking status (current smoker as compared with never smoker), and non-oropharyngeal locations predicted for OS, whereas BRT association with OS was of borderline significance (p = 0.054). The 2-year actuarial locoregional control (LRC) and distant control (DC) rates were 73 and 79 %, respectively. CRT was independently associated with an improved LRC (2-year LRC: 76 % for CRT vs. 61 % for BRT) and DC (2-year LRC: 81 % for CRT vs. 68 % for BRT) in comparison with BRT (p < 0.001 and p = 0.01 in the MVA). Subgroup analyses showed that T4 patients benefited significantly from CRT (vs. BRT) in LRC, while T1-3 did not. BRT patients had more G3-4 skin complications (p < 0.001) and CRT patients had higher rates of feeding tube placement (p = 0.006) and G3-4 gastrointestinal toxicities (p < 0.001). CONCLUSION: This retrospective analysis showed a better LRC in locally advanced HNSCC treated by cisplatin-based CRT than cetuximab-based BRT, and a nonsignificant trend towards an improved OS.

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Powerful volatile regulators of gene expression, pheromones and other airborne signals are of great interest in biology. Plants are masters of volatile production and release, not just from flowers and fruits, but also from vegetative tissues. The controlled release of bouquets of volatiles from leaves during attack by herbivores helps plants to deter herbivores or attract their predators, but volatiles have other roles in development and in the control of defence gene expression. Some of these roles may include long-distance signalling within and perhaps between plants.

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Aims :¦Several studies have questioned the validity of separating the diagnosis of alcohol abuse from that of alcohol dependence, and the DSM-5 task force has proposed combining the criteria from these two diagnoses to assess a single category of alcohol use disorders (AUD). Furthermore, the DSM-5 task force has proposed including a new 2-symptom threshold and a severity scale based on symptom counts for the AUD diagnosis. The current study aimed to examine these modifications in a large population-based sample.¦Method :¦Data stemmed from an adult sample (N=2588 ; mean age 51.3 years (s.d.: 0.2), 44.9% female) of current and lifetime drinkers from the PsyCoLaus study, conducted in the Lausanne area in Switzerland. AUDs and validating variables were assessed using a semi-structured diagnostic interview for the assessment of alcohol¦and other major psychiatric disorders. First, the adequacy of the proposed 2- symptom threshold was tested by comparing threshold models at each possible cutoff and a linear model, in relation to different validating variables. The model with the smallest Akaike Criterion Information (AIC) value was established as the best¦model for each validating variable. Second, models with varying subsets of individual AUD symptoms were created to assess the associations between each symptom and the validating variables. The subset of symptoms with the smallest AIC value was established as the best subset for each validator.¦Results :¦1) For the majority of validating variables, the linear model was found to be the best fitting model. 2) Among the various subsets of symptoms, the symptoms most frequently associated with the validating variables were : a) drinking despite having knowledge of a physical or psychological problem, b) having had a persistent desire or unsuccessful efforts to cut down or control drinking and c) craving. The¦least frequent symptoms were : d) drinking in larger amounts or over a longer period than was intended, e) spending a great deal of time in obtaining, using or recovering from alcohol use and f) failing to fulfill major role obligations.¦Conclusions :¦The proposed DSM-5 2-symptom threshold did not receive support in our data. Instead, a linear AUD diagnosis was supported with individuals receiving an increasingly severe AUD diagnosis. Moreover, certain symptoms were more frequently associated with the validating variables, which suggests that these¦symptoms should be considered as more severe.

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This work extends a previously developed research concerning about the use of local model predictive control in differential driven mobile robots. Hence, experimental results are presented as a way to improve the methodology by considering aspects as trajectory accuracy and time performance. In this sense, the cost function and the prediction horizon are important aspects to be considered. The aim of the present work is to test the control method by measuring trajectory tracking accuracy and time performance. Moreover, strategies for the integration with perception system and path planning are briefly introduced. In this sense, monocular image data can be used to plan safety trajectories by using goal attraction potential fields

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This research extends a previously developed work concerning about the use of local model predictive control in mobile robots. Hence, experimental results are presented as a way to improve the methodology by considering aspects as trajectory accuracy and time performance. In this sense, the cost function and the prediction horizon are important aspects to be considered. The platformused is a differential driven robot with a free rotating wheel. The aim of the present work is to test the control method by measuring trajectory tracking accuracy and time performance. Moreover, strategies for the integration with perception system and path planning are also introduced. In this sense, monocular image data provide an occupancy grid where safety trajectories are computed by using goal attraction potential fields

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AIMS: To evaluate the effectiveness of brief alcohol intervention (BAI) in reducing alcohol use among hazardous drinkers treated in the emergency department (ED) after an injury; in addition it tests whether assessment of alcohol use without BAI is sufficient to reduce hazardous drinking. DESIGN: Randomized controlled clinical trial with 12-month follow-up conducted between January 2003 and June 2005. SETTING: Urban academic emergency department (ED) of the Lausanne University Hospital, Lausanne, Switzerland. PARTICIPANTS: A total of 5136 consecutive patients attending ED after an injury completed a seven-item general and a three-item alcohol screen and 1472 (28.7%) were positive for hazardous drinking according to the National Institute on Alcohol Abuse and Addiction definition; of these 987 (67.1%) were randomized into a BAI group (n = 310) or a control group with screening and assessment (n = 342) or a control group with screening only (n = 335) and then a total of 770 patients (78.0%) completed the 12-month follow-up procedures. INTERVENTION: A single 10-15-minute session of standardized BAI conducted by a trained research assistant. MEASUREMENTS: Percentage of participants who have changed to low-risk drinking at follow-up. FINDINGS: Data obtained at 12 months indicated that similar proportions were low-risk drinkers in BAI versus control groups with and without assessment (35.6%, 34.0%, 37.0%, respectively, P = 0.71). Data also indicated similar reductions in drinking frequency, quantity, binge drinking frequency and Alcohol Use Disorders Identification Test (AUDIT) scores across groups. All groups reported similar numbers of days hospitalized and numbers of medical consults in the last 12 months. A model including age groups, gender, AUDIT and injury severity scores indicated that BAI had no influence on the main alcohol use outcome. CONCLUSIONS: This study provides the evidence that a 10-15-minute BAI does not decrease alcohol use and health resource utilization in hazardous drinkers treated in the ED, and demonstrates that commonly found decreases in hazardous alcohol use in control groups cannot be attributed to the baseline alcohol assessment.

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This manual is a summary of the findings of a comprehensive study. Its purpose is to provide engineers with the information they need to make educated decisions on the use of ternary mixtures for constructing concrete structures. It discusses the effects of ternary mixtures on fresh and hardened mixture properties and on concrete sustainability; factors that need to be considered for both structural and mixture design; quality control issues; and three example mixtures from constructed projects

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Drug safety issues pose serious health threats to the population and constitute a major cause of mortality worldwide. Due to the prominent implications to both public health and the pharmaceutical industry, it is of great importance to unravel the molecular mechanisms by which an adverse drug reaction can be potentially elicited. These mechanisms can be investigated by placing the pharmaco-epidemiologically detected adverse drug reaction in an information-rich context and by exploiting all currently available biomedical knowledge to substantiate it. We present a computational framework for the biological annotation of potential adverse drug reactions. First, the proposed framework investigates previous evidences on the drug-event association in the context of biomedical literature (signal filtering). Then, it seeks to provide a biological explanation (signal substantiation) by exploring mechanistic connections that might explain why a drug produces a specific adverse reaction. The mechanistic connections include the activity of the drug, related compounds and drug metabolites on protein targets, the association of protein targets to clinical events, and the annotation of proteins (both protein targets and proteins associated with clinical events) to biological pathways. Hence, the workflows for signal filtering and substantiation integrate modules for literature and database mining, in silico drug-target profiling, and analyses based on gene-disease networks and biological pathways. Application examples of these workflows carried out on selected cases of drug safety signals are discussed. The methodology and workflows presented offer a novel approach to explore the molecular mechanisms underlying adverse drug reactions

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Bioassays with bioreporter bacteria are usually calibrated with analyte solutions of known concentrations that are analysed along with the samples of interest. This is done as bioreporter output (the intensity of light, fluorescence or colour) does not only depend on the target concentration, but also on the incubation time and physiological activity of the cells in the assay. Comparing the bioreporter output with standardized colour tables in the field seems rather difficult and error-prone. A new approach to control assay variations and improve application ease could be an internal calibration based on the use of multiple bioreporter cell lines with drastically different reporter protein outputs at a given analyte concentration. To test this concept, different Escherichia coli-based bioreporter strains expressing either cytochrome c peroxidase (CCP, or CCP mutants) or β-galactosidase upon induction with arsenite were constructed. The reporter strains differed either in the catalytic activity of the reporter protein (for CCP) or in the rates of reporter protein synthesis (for β-galactosidase), which, indeed, resulted in output signals with different intensities at the same arsenite concentration. Hence, it was possible to use combinations of these cell lines to define arsenite concentration ranges at which none, one or more cell lines gave qualitative (yes/no) visible signals that were relatively independent of incubation time or bioreporter activity. The discriminated concentration ranges would fit very well with the current permissive (e.g. World Health Organization) levels of arsenite in drinking water (10 µg l−1).

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In work-zone configurations where lane drops are present, merging of traffic at the taper presents an operational concern. In addition, as flow through the work zone is reduced, the relative traffic safety of the work zone is also reduced. Improving work-zone flow-through merge points depends on the behavior of individual drivers. By better understanding driver behavior, traffic control plans, work zone policies, and countermeasures can be better targeted to reinforce desirable lane closure merging behavior, leading to both improved safety and work-zone capacity. The researchers collected data for two work-zone scenarios that included lane drops with one scenario on the Interstate and the other on an urban arterial roadway. The researchers then modeled and calibrated these scenarios in VISSIM using real-world speeds, travel times, queue lengths, and merging behaviors (percentage of vehicles merging upstream and near the merge point). Once built and calibrated, the researchers modeled strategies for various countermeasures in the two work zones. The models were then used to test and evaluate how various merging strategies affect safety and operations at the merge areas in these two work zones.

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In this paper we present a method for blind deconvolution of linear channels based on source separation techniques, for real word signals. This technique applied to blind deconvolution problems is based in exploiting not the spatial independence between signals but the temporal independence between samples of the signal. Our objective is to minimize the mutual information between samples of the output in order to retrieve the original signal. In order to make use of use this idea the input signal must be a non-Gaussian i.i.d. signal. Because most real world signals do not have this i.i.d. nature, we will need to preprocess the original signal before the transmission into the channel. Likewise we should assure that the transmitted signal has non-Gaussian statistics in order to achieve the correct function of the algorithm. The strategy used for this preprocessing will be presented in this paper. If the receiver has the inverse of the preprocess, the original signal can be reconstructed without the convolutive distortion.