The endeavors to develop manufacturing methods that can enhance polymer and composite structures in spacecraft have led to much research and innovation over many decades. However, the thermal stability, intrinsic material stress, and anisotropic substrate properties pose significant challenges and inhibit the use of previously proposed solutions under extreme space environment. Here, we overcome these issues by developing a custom-designed, plasma-enhanced cross-linked poly(p-xylylene):diamond-like carbon superlattice material that enables enhanced mechanical coupling with the soft polymeric and composite materials, which in turn can be applied to large 3D engineering structures. The superlattice structure developed forms an integral part with the substrate and results in a space qualifiable carbon-fiber-reinforced polymer featuring 10-20 times greater resistance to cracking without affecting the stiffness of dimensionally stable structures. This innovation paves the way for the next generation of advanced ultra-stable composites for upcoming optical and radar instrument space programs and advanced engineering applications.
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http://dx.doi.org/10.1016/j.isci.2021.102692 | DOI Listing |
Cortex
December 2024
Department of Speech, Language and Hearing Sciences, University of Texas at Austin, United States; Department of Neurology, Dell Medical School, University of Texas at Austin, United States.
Script training is a speech-language intervention designed to promote fluent connected speech via repeated rehearsal of functional content. This type of treatment has proven beneficial for individuals with aphasia and apraxia of speech caused by stroke and, more recently, for individuals with primary progressive aphasia (PPA). In the largest study to-date evaluating the efficacy of script training in individuals with nonfluent/agrammatic primary progressive aphasia (nfvPPA; Henry et al.
View Article and Find Full Text PDFACS Synth Biol
December 2024
Proteo-Science Center, Ehime University, 2-5 Bunkyo, Matsuyama, Ehime 790-8577, Japan.
Cell-free systems, which can express an easily detectable output (protein) with a DNA or mRNA template, are promising as foundations of biosensors devoid of cellular constraints. Moreover, by encasing them in membranes such as natural cells to create artificial cells, these systems can avoid the adverse effects of environmental inhibitory molecules. However, the bacterial systems generally used for this purpose do not function well at ambient temperatures.
View Article and Find Full Text PDFElife
December 2024
Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Chemotherapy is widely used to treat lung adenocarcinoma (LUAD) patients comprehensively. Considering the limitations of chemotherapy due to drug resistance and other issues, it is crucial to explore the impact of chemotherapy and immunotherapy on these aspects. In this study, tumor samples from nine LUAD patients, of which four only received surgery and five received neoadjuvant chemotherapy, were subjected to scRNA-seq analysis.
View Article and Find Full Text PDFJAMA Health Forum
December 2024
Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
Importance: More than one-quarter of US residents live in states or localities that restrict sales of flavored electronic nicotine delivery systems (ENDS), often as a means to reduce youth vaping. Yet, how these policies affect young adult vaping and smoking remains unclear.
Objective: To estimate the effects of ENDS flavor restrictions on ENDS use and cigarette smoking among young adults (age 18-29 years) in the US.
Methods Mol Biol
December 2024
School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand.
The detached leaf assay is a valuable method for studying plant-pathogen interactions, enabling the assessment of pathogenicity, plant resistance, and treatment effects. In this protocol, we outline how to set up a Phytophthora detached leaf assay and use non-expert machine learning tools to increase the reliability and throughput of the image analysis. Utilizing ilastik for pixel classification and Python scripts for segmentation, manual correction, and temporal linking, the pipeline provides objective and quantitative data over time.
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