Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/anie.200352100 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Reconfigurable nonlinear Pancharatnam-Berry diffractive optics with photopatterned ferroelectric nematics.
Light Sci Appl
September 2025
National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulation, College of Engineering and Applied Sciences, Nanjing University, 210023, Nanjing, China.
Planar optical elements incorporating space-varying Pancharatnam-Berry phase have revolutionized the manipulation of light fields by enabling continuous control over amplitude, phase, and polarization. While previous research focusing on linear functionalities using apolar liquid crystals (LCs) has attracted much attention, extending this concept to the nonlinear regime offers unprecedented opportunities for advanced optical processing. Here, we demonstrate the reconfigurable nonlinear Pancharatnam-Berry LC diffractive optics in photopatterned ion-doped ferroelectric nematics.
View Article and Find Full Text PDFIndividual hearts: computational models for improved management of cardiovascular disease.
Heart
September 2025
Department of Biomedical Engineering, CARIM Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, with conventional management often applying standardised approaches that struggle to address individual variability in increasingly complex patient populations. Computational models, both knowledge-driven and data-driven, have the potential to reshape cardiovascular medicine by offering innovative tools that integrate patient-specific information with physiological understanding or statistical inference to generate insights beyond conventional diagnostics. This review traces how computational modelling has evolved from theoretical research tools into clinical decision support systems that enable personalised cardiovascular care.
View Article and Find Full Text PDFThe molecular electrometer at 40.
Biochim Biophys Acta Biomembr
September 2025
Department of Chemistry, University of Toronto, Canada; Department of Chemical and Physical Sciences, University of Toronto Mississauga, 3359 Mississauga Road North, Mississauga, Ontario, L5L 1C6, Canada. Electronic address:
In 1987 Seelig and colleagues proposed that the phosphocholine headgroup of phosphatidylcholine behaved as a universal sensor of surface electrostatic charge, both cationic and anionic, in lipid bilayers (J. Seelig, P.M.
View Article and Find Full Text PDFAdvances in nanopore direct RNA sequencing and its impact on biological research.
Biotechnol Adv
September 2025
Key Laboratory of Microbiological Metrology, Measurement & Bio-product Quality Security, State Administration for Market Regulation, China Jiliang University, Hangzhou 310018, China. Electronic address:
Nanopore direct RNA sequencing (DRS) is a transformative technology that enables full-length, single-molecule sequencing of native RNA, capturing transcript isoforms and preserving epitranscriptomic modifications without cDNA conversion. This review outlines key advances in DRS, including optimized protocols for mRNA, rRNA, tRNA, circRNA, and viral RNA, as well as analytical tools for isoform quantification, poly(A) tail measurement, fusion transcript identification, and base modification profiling. We highlight how DRS has redefined transcriptomic studies across diverse systems-from uncovering novel transcripts and alternative splicing events in cancer, plants, and parasites to enabling the direct detection of m6A, m5C, pseudouridine, and RNA editing events.
View Article and Find Full Text PDFInfluencing Factors and Predictive Models of Oil-Water Emulsions: A Comprehensive Review and Future Outlook.
Ann N Y Acad Sci
September 2025
College of Chemical Engineering, Fuzhou University, Fuzhou, China.
Oil-water emulsions are prevalent in petroleum, chemical, and materials industries, where their rheological properties significantly impact processing efficiency. This review systematically examines the key factors influencing the apparent viscosity of oil-water emulsions, including oil composition, water characteristics, temperature, shear conditions, and emulsifier properties. It traces the evolution of viscosity prediction methodologies, encompassing conventional, complex, and Pickering emulsions, and assesses modeling approaches ranging from early theoretical frameworks to contemporary machine learning techniques.
View Article and Find Full Text PDF