Dynamic oxygen-17 (O) magnetic resonance imaging (MRI) is an imaging method that enables a direct and non-invasive assessment of cerebral oxygen metabolism and thus potentially the distinction between viable and non-viable tissue employing a three-phase inhalation experiment. The purpose of this investigation was the first application of dynamic O MRI at 7 Tesla (T) in a patient with stroke. In this proof-of-concept experiment, dynamic O MRI was applied during O inhalation in a patient with early subacute stroke. The analysis of the relative O water (HO) signal for the affected stroke region compared to the healthy contralateral side revealed no significant difference. However, the technical feasibility of O MRI has been demonstrated paving the way for future investigations in neurovascular diseases.
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http://dx.doi.org/10.3389/fnins.2023.1186558 | DOI Listing |
J Chem Inf Model
January 2025
Donostia International Physics Center (DIPC), 20018 Donostia-San Sebastián, Spain.
Desalination of seawater by forward osmosis is a technology potentially able to address the global water scarcity problem. The major challenge limiting its widespread practical application is the design of a draw solute that can be separated from water by an energetically efficient process and then reused for the next cycle. Recent experiments demonstrate that a promising draw solute for forward-osmosis desalination is tetrabutylphosphonium 2,4,6-trimethylbenzenesulfonate ([P][TMBS]).
View Article and Find Full Text PDFACS Macro Lett
January 2025
Key Laboratory of Materials Chemistry for Energy Conversion and Storage, Ministry of Education, Hubei Key Laboratory of Materials Chemistry and Service Failure, Hubei Engineering Research Center for Biomaterials and Medical Protective Materials, State Key Laboratory of Materials Processing and Die & Mould Technology, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
As a special kind of supramolecular compound with many favorable properties, pillar[]arene-based supramolecular polymer networks (SPNs) show potential application in many fields. Although we have come a long way using pillar[]arene to prepare SPNs and construct a series of smart materials, it remains a challenge to enhance the mechanical strength of pillar[]arene-based SPNs. To address this issue, a new supramolecular regulation strategy was developed, which could precisely control the preparation of pillar[]arene-based SPN materials with excellent mechanical properties by adjusting the polymer network structures.
View Article and Find Full Text PDFBiomacromolecules
January 2025
College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, PR China.
Biomolecular motors are dynamic systems found in organisms with high energy conversion efficiency. FF-ATPase is a rotary biomolecular motor known for its near 100% energy conversion efficiency. It utilizes the synthesis and hydrolysis of ATP to induce conformational changes in motor proteins, thereby converting chemical energy into mechanical motion.
View Article and Find Full Text PDFJ Comput Chem
January 2025
Departmento de Química, Facultad de Ciencias, Universidad de Tarapacá, Arica, Chile.
Data analysis is a major task for Computational Chemists. The diversity of modeling tools currently available in Computational Chemistry requires the development of flexible analysis tools that can adapt to different systems and output formats. As a contribution to this need, we report the implementation of goChem, a versatile open-source library for multiscale analysis of computational chemistry data.
View Article and Find Full Text PDFSmall Methods
January 2025
Dept. Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, CB3 0AS, UK.
The integration of Machine Learning (ML) with super-resolution microscopy represents a transformative advancement in biomedical research. Recent advances in ML, particularly deep learning (DL), have significantly enhanced image processing tasks, such as denoising and reconstruction. This review explores the growing potential of automation in super-resolution microscopy, focusing on how DL can enable autonomous imaging tasks.
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