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Passive heat management is crucial in space, especially for extended missions involving protection from sunlight. Thermal coatings with desirable optical properties can drastically reduce the power consumed by active cooling systems, thereby reserving more resources for other critical systems onboard. Specifically, materials with wavelength-dependent reflectance and emittance are desirable for managing incident sunlight and self-cooling by thermal emission. This study demonstrates the use of polymer nanofibers, specifically poly(tetrafluoroethylene) (PTFE), for passive temperature control in space applications. This study describes the electrospinning fabrication process to create nanofibers and how process parameters can be varied to control the fiber geometry. We combine poly(tetrafluoroethylene) (PTFE) and poly(ethylene oxide) (PEO) polymers to fabricate highly reflective thermal control materials by electrospinning. To understand the role of material and fiber geometry, we measure spectral reflectance, absorptance, and transmittance using spectrophotometers interfaced with integrating spheres. We control the materials' fiber geometry and solar reflectance by modifying the solution properties, flow rate, rotating collector speed, and fabrication time. With 220-1560 μm thick electrospun nanofiber materials, we demonstrate an average solar reflectance of 94.73-99.75%, with values approaching 99.9% for thicker samples, which is among the highest for space applications. Meanwhile, a thermal emittance of 81.4% was observed at 300 K for a 3360 μm thick sample. The durability of these samples was also tested under ultraviolet light and atomic oxygen. Compared to the state-of-the-art materials, the electrospun PTFE-PEO fibers present a new paradigm for passive thermal management in space applications.
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http://dx.doi.org/10.1021/acsami.4c02463 | DOI Listing |
J Cannabis Res
September 2025
Department of EconomicsMA in Applied Economics, Lebanese American University, P.O. Box: 13-5053, Beirut, Lebanon.
Amidst the global shift toward cannabis legalization, this study examines medical cannabis (MC) sales as an indicator of economic activity and innovation. It explores associations between MC sales, and variables including tobacco use, alcohol consumption, amphetamine, cocaine and cannabis prevalence, and gross domestic product (GDP), using a fixed effects (FE) panel regression model. It also evaluates associations between cannabis legalization and MC sales over time using a dynamic Difference-in-Differences (DiD) approach with multiple time periods.
View Article and Find Full Text PDFNat Microbiol
September 2025
Joan and Sanford I. Weill Department of Medicine, Gastroenterology and Hepatology Division, Weill Cornell Medicine, New York, NY, USA.
Microbial influence on cancer development and therapeutic response is a growing area of cancer research. Although it is known that microorganisms can colonize certain tissues and contribute to tumour initiation, the use of deep sequencing technologies and computational pipelines has led to reports of multi-kingdom microbial communities in a growing list of cancer types. This has prompted discussions on the role and scope of microbial presence in cancer, while raising the possibility of microbiome-based diagnostic, prognostic and therapeutic tools.
View Article and Find Full Text PDFNat Plants
September 2025
Plant Science Division, Research School of Biology, The Australian National University, Canberra, Australian Capital Territory, Australia.
A new Escherichia coli laboratory evolution screen for detecting plant ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco) mutations with enhanced CO-fixation capacity has identified substitutions that can enhance plant productivity. Selected were a large subunit catalytic (Met-116-Leu) mutation that increases the k of varying plant Rubiscos by 25% to 40% and a solubility (Ala-242-Val) mutation that improves plant Rubisco biogenesis in E. coli 2- to 10-fold.
View Article and Find Full Text PDFJ Phys Chem A
September 2025
Dipartimento di Scienze Fisiche e Chimiche, Università degli Studi dell'Aquila, Coppito, L'Aquila 67100, Italy.
In recent years Quantum Computing prominently entered in the field of Computational Chemistry, importing and transforming computational methods and ideas originally developed within other disciplines, such as Physics, Mathematics and Computer Science into algorithms able to estimate quantum properties of atoms and molecules on present and future quantum devices. An important role in this contamination process is attributed to Quantum Information techniques, having the 2-fold role of contributing to the analysis of electron correlation and entanglements and guiding the construction of wave function variational ansatzes for the Variational Quantum Eigensolver technique. This paper introduces the tool SparQ (Sparse Quantum state analysis), designed to efficiently compute fundamental quantum information theory observables on post-Hartree-Fock wave functions sparse in their definition space.
View Article and Find Full Text PDFJ Am Soc Mass Spectrom
September 2025
Nontargeted Separations Laboratory, Chemistry Department, William & Mary, Integrated Science Center 1053, 540 Landrum Drive, Williamsburg, Virginia 23188, United States.
Fingerprints are routinely used as evidence in forensic investigations. Fingermarks, any mark left by a donor whether a complete print or not, include sweat and oil excreted by the donor. The chemical components of fingermarks are typically analyzed by gas chromatography-mass spectrometry (GC-MS).
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