21 resultados para Advanced of the sea


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Leatherback turtles Dermochelys coriacea spend most of their life in oceanic environments, whose physical and biological characteristics are primarily forged by sea current circulation. Water mass movements can mechanically act on swimming turtles, thus determining their routes, and can differentially distribute their planktonic prey. By integrating satellite tracking data with contemporaneous remote-sensing information, we analysed the post-nesting journeys of 9 leatherbacks with respect to oceanographic surface conditions. Tracked turtles showed large variations in migration routes and in final destinations, apparently without heading for specific foraging areas. Their complex tracks spread over wide regions around South Africa. Leatherbacks were greatly influenced by the currents encountered during their movements, with their trajectories displaying curves or revolutions in the presence of (and in accordance with) rotating water masses. An impressive similarity was observed between large parts of the turtle routes and those of surface drifters tracked in the same regions. Finally, leatherbacks remained associated for long periods with specific oceanographic features, which most probably offered them profitable foraging opportunities. These results agree with previous findings in showing a strong influence of oceanic currents and mesoscale features on the movements of South African leatherbacks, and additionally identify the role of current-related features in causing the observed route variability and in determining high-quality foraging hotspots for leatherbacks moving in the ocean.

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Tyrosine kinase inhibitors (TKIs) targeting the epidermal growth factor receptor (EGFR) are well established in treating metastatic pulmonary adenocarcinoma, especially patients with activating EGFR mutations. EGFR mutations are rare in pulmonary squamous cell carcinomas (SCCs). There are conflicting data supporting the efficacy of EGFR-TKIs in advanced lung SCC. We analyzed the impact of EGFR-TKIs on progression-free survival (PFS) and overall survival (OS) in unselected patients with lung SCC.

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Pediatric palliative care randomized controlled trials (PPC-RCTs) are uncommon.

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Dual phase (DP) steels were modeled using 2D and 3D representative volume elements (RVE). Both the 2D and 3D models were generated using the Monte-Carlo-Potts method to represent the realistic microstructural details. In the 2D model, a balance between computational efficiency and required accuracy in truly representing heterogeneous microstructure was achieved. In the 3D model, a stochastic template was used to generate a model with high spatial fidelity. The 2D model proved to be efficient for characterization of the mechanical properties of a DP steel where the effect of phase distribution, morphology and strain partitioning was studied. In contrast, the current 3D modeling technique was inefficient and impractical due to significant time cost. It is shown that the newly proposed 2D model generation technique is versatile and sufficiently accurate to capture mechanical properties of steels with heterogeneous microstructure.

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Objective: The Needs Assessment for Advanced Cancer Patients (NA-ACP) is a 132-item self-report questionnaire designed to assess the seven needs domains of patients with advanced, incurable cancer. This study aimed to evaluate the short derivative form of that questionnaire with advanced lung cancer patients.

Methods: Item factor loadings, item test–retest data and response distributions were used to retain or reject items from the original NA-ACP scale. This resulted in 38 items being maintained, preserving the original subscales. The response scale was simplified following feedback from patients. 108 people with advanced lung cancer completed the shortened NA-ALCP along with measures of psychological distress (HADS, DT) and quality of life (EORTC QLQ-C30). A-priori predictions were made for divergent and convergent validity.

Results: Internal consistency coefficients were satisfactory for six of seven subscales, range 0.71–0.95. Correlations between NA-ALCP and HADS, DT and EORTC-QLQ-C30 provided support for 11 of the 22 divergent (r = 0.13–0.27) and convergent predictions (r = 0.45–0.71).

Conclusions: Subscales of the NA-ALCP demonstrated internal reliability consistent with the original scale. Results provided supporting evidence for divergent and convergent validity. This study indicates that the NA-ALCP is psychometrically robust, easily understood and one-quarter the length of the original version