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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Drought-induced changes in nitrogen partitioning between cyanide and nitrate in leaves and stems of sorghum grown at elevated CO2 are age dependent
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The relationship between plant height and sugar accumulation in the stems of sweet sorghum ( Sorghum bicolor (L.) Moench)
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Genetically Engineered Flagella Form Collagen-like Ordered Structures for Inducing Stem Cell Differentiation
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AXL Is a Driver of Stemness in Normal Mammary Gland and Breast Cancer
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Cryogenic 4D-STEM analysis of an amorphous-crystalline polymer blend: Combined nanocrystalline and amorphous phase mapping
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Immune evasion through competitive inhibition: The shielding effect of cancer non-stem cells
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The evolution of precipitate crystal structures in an Al-Mg-Si(-Cu) alloy studied by a combined HAADF-STEM and SPED approach
Highlights: • Scanning electron diffraction and machine learning complement lattice imaging • Developed approach gives increased objectivity in precipitate phase analysis • Precipitate phase fractions and solute content obtained with superior statistics • 0.01 at.% Cu changes the Al-Mg-Si system precipitation during overageing • Q’-phase eventually dominates precipitate structures and shows varying Cu-occupancy - Abstract: This work presents a detailed investigation into the effect of a low Cu addition (0.01 at.%) on precipitation in an Al-0.80Mg-0.85Si alloy during ageing. The precipitate crystal structures were assessed by scanning transmission electron microscopy combined with a novel scanning precession electron diffraction approach, which includes machine learning. The combination of techniques enabled evaluation of the atomic arrangement within individual precipitates, as well as an improved estimate of precipitate phase fractions at each ageing condition, through analysis of a statistically significant number of precipitates. Based on the obtained results, the total amount of solute atoms locked inside precipitates could be approximated. It was shown that even with a Cu content close to impurity levels, the Al-Mg-Si system precipitation was significantly affected with overageing. The principal change was due to a gradually increasing phase fraction of the Cu-containing Q′-phase, which eventually was seen to dominate the precipitate structures. The structural overtake could be explained based on a continuous formation of the thermally stable Q′-phase, with Cu atomic columns incorporating less Cu than what could potentially be accommodated.
Study on a novel orientation domain of Mg17Ce2 in aged Mg–Y–Ce alloy by HAADF–STEM
Highlights: • A novel 90 degree orientation domain is verified in Mg{sub 17}Ce{sub 2} granules. • Orientations of domain–Ι and Π are parallel and perpendicular to α-Mg matrix. • A 〈 1-bar 010〉 direction is unchanged among domain–Ι, domain–Π and α-Mg matrix. • Domain–Ι matches the α-Mg matrix better than the domain–Π. - Abstract: After solid solution and aging treatment, Mg–3.0 wt%Y–1.0 wt%Ce ternary alloys were characterized using high angle annular dark field scanning transmission electron microscopy. The main precipitates are dominated by β{sup ′} phase and Mg{sub 17}Ce{sub 2}, a Ni{sub 17}Th{sub 2}–type intermetallic compound. An orientation domain can be discerned generally in Mg{sub 17}Ce{sub 2} granules. This domain structure of Mg{sub 17}Ce{sub 2} always consists of two types of domains (defined as domain–Ι and domain–Π) with a 90 degree orientation difference. In terms of crystallographic orientation relationships among α-Mg matrix and both domains, the domain–Ι is parallel to α-Mg matrix, whereas, the domain–Π is perpendicular to α-Mg matrix. It can be certain that a 〈 1-bar 010〉 direction is an unchanged orientation. Due to nearly equal values of lattice parameters (a and c) of Mg{sub 17}Ce{sub 2}, both domain–Ι and domain–Π can matches well with α-Mg matrix. Comparatively, the interfacial matching between domain–Ι and α-Mg matrix is better, suggesting that the domain–Ι is dominant.
Making the most of your electrons: Challenges and opportunities in characterizing hybrid interfaces with STEM
Inspired by the unique architectures composed of hard and soft materials in natural and biological systems, synthetic hybrid structures and associated hard-soft interfaces have recently evoked significant interest. Soft matter is typically dominated by structural fluctuations even at room temperature, while hard matter is governed by rigid mechanical behavior. This dichotomy offers considerable opportunities to leverage the disparate properties offered by these components across a wide spectrum spanning from basic science to engineering insights with significant technological overtones. Such hybrid structures, which include polymer nanocomposites, DNA functionalized nanoparticle superlattices, and metal organic frameworks to name a few, have delivered promising insights into the technologically relevant applications such as catalysis, environmental remediation, optoelectronics, and medicine. The interfacial structure between the hard and soft phases demonstrates features across a variety of length scales and often strongly influence the functionality of hybrid systems. While scanning/transmission electron microscopy (S/TEM) has proven to be a valuable tool for acquiring intricate molecular and nanoscale details of these interfaces, the unusual nature of hybrid composites presents a suite of challenges that make assessing or establishing structure–property relationships especially difficult. There are additional considerations at all stages of sample analysis from preparing electron-transparent samples to obtaining sufficient contrast to resolve the interface between dissimilar materials given the dose sensitivity of soft materials. Here, we discuss each of these challenges and supplement a review of recent developments in the field with additional experimental investigations and simulations to present solutions for attaining a nano or molecular-level understanding of these interfaces. These solutions present a host of opportunities for investigating the role interfaces play in this unique class of functional materials.
Effect of Brain Stem and Dorsal Vagus Complex Dosimetry on Nausea and Vomiting in Head and Neck Intensity-Modulated Radiation Therapy
Intensity-modulated radiation therapy (IMRT) is becoming the treatment of choice for many head and neck cancer patients. IMRT reduces some toxicities by reducing radiation dose to uninvolved normal tissue near tumor targets; however, other tissues not irradiated using previous 3D techniques may receive clinically significant doses, causing undesirable side effects including nausea and vomiting (NV). Irradiation of the brainstem, and more specifically, the area postrema and dorsal vagal complex (DVC), has been linked to NV. We previously reported preliminary hypothesis-generating dose effects associated with NV in IMRT patients. The goal of this study is to relate brainstem dose to NV symptoms. We retrospectively studied 100 consecutive patients that were treated for oropharyngeal cancer with IMRT. We contoured the brainstem, area postrema, and DVC with the assistance of an expert diagnostic neuroradiologist. We correlated dosimetry for the 3 areas contoured with weekly NV rates during IMRT. NV rates were significantly higher for patients who received concurrent chemotherapy. Post hoc analysis demonstrated that chemoradiation cases exhibited a trend towards the same dose-response relationship with both brainstem mean dose (p = 0.0025) and area postrema mean dose (p = 0.004); however, both failed to meet statistical significance at the p {<=} 0.002 level. Duration of toxicity was also greater for chemoradiation patients, who averaged 3.3 weeks with reported Common Terminology Criteria for Adverse Events (CTC-AE), compared with an average of 2 weeks for definitive RT patients (p = 0.002). For definitive RT cases, no dose-response trend could be ascertained. The mean brainstem dose emerged as a key parameter of interest; however, no one dose parameter (mean/median/EUD) best correlated with NV. This study does not address extraneous factors that would affect NV incidence, including the use of antiemetics, nor chemotherapy dose schedule specifics before and during RT. A prospective study will be required to depict exactly how IMRT dose affects NV.
Prismatic 2.0 – Simulation software for scanning and high resolution transmission electron microscopy (STEM and HRTEM)
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Directed Network Wiring Identifies a Key Protein Interaction in Embryonic Stem Cell Differentiation
Abstract not provided