In this paper, we present a survey concerning unconstrained free boundary problems of type [Formula: see text] where B1 is the unit ball, Ω is an unknown open set, F(1) and F(2) are elliptic operators (admitting regular solutions), and [Formula: see text] is a functions space to be specified in each case. Our main objective is to discuss a unifying approach to the optimal regularity of solutions to the above matching problems, and list several open problems in this direction.
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http://dx.doi.org/10.1098/rsta.2014.0281 | DOI Listing |
J Chem Phys
December 2024
Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois 60637, USA.
Machine learning interatomic potentials (MLIPs) are rapidly gaining interest for molecular modeling, as they provide a balance between quantum-mechanical level descriptions of atomic interactions and reasonable computational efficiency. However, questions remain regarding the stability of simulations using these potentials, as well as the extent to which the learned potential energy function can be extrapolated safely. Past studies have encountered challenges when MLIPs are applied to classical benchmark systems.
View Article and Find Full Text PDFBioorg Chem
January 2025
Department of Chemistry, Binghamton University, The State University of New York, 4400 Vestal Parkway East Binghamton, New York 13902, USA. Electronic address:
A modified enzyme fragment complementation assay has been designed and validated as a turn-on biosensor for nucleic acid detection in dilute aqueous solution. The assay is target sequence-agonistic and uses fragments of NanoBiT, the split luciferase reporter enzyme, that are esterified enzymatically at their C-termini to steramers, sterol-linked oligonucleotides. The Drosophila hedgehog autoprocessing domain, DHhC, serves as the self-cleaving enzyme for the NanoBiT-steramer bioconjugations.
View Article and Find Full Text PDFAppl Ergon
December 2024
Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, 1145 Perry Street, Blacksburg, VA, USA. Electronic address:
The performance of machine learning (ML) algorithms is dependent on which dataset it has been trained on. While ML algorithms are increasingly used for lift risk assessment, many algorithms are often trained and tested on controlled simulation datasets, lacking the diversity of the lifting conditions. Consequently, concerns arise regarding their applicability in real-world scenarios characterized by substantial variations in lifting scenarios and postures.
View Article and Find Full Text PDFSensors (Basel)
November 2024
School of Kinesiology and Health Science, York University, Toronto, ON M3J 1P3, Canada.
Stride-to-stride fluctuations during walking reflect age-related changes in gait adaptability and are estimated with nonlinear measures that confine data collection to controlled settings. Smartphones, with their embedded accelerometers, may provide accessible gait analysis throughout the day. This study investigated age-related differences in linear and nonlinear gait measures estimated from a smartphone accelerometer (SPAcc) in an unconstrained, free-living environment.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
February 2025
North China University of Technology, Beijing 100144, China.
Raman spectroscopy is a powerful analytical method, but when the composition of the test sample is intricate, the original spectral data may contain noise and fluorescence background interference, making it more difficult to extract Raman spectral information from the original spectra. Especially the fluorescence background signal, which is typically several orders of magnitude stronger than the Raman signal, can even overwhelm or obscure the Raman signals, thereby impeding the qualitative or quantitative analysis of the Raman spectra. One effective method for removing the fluorescence background is shift excitation Raman differential spectroscopy (SERDS), which typically involves measuring two raw Raman spectra using slightly different excitation wavelengths, combined with reconstruction algorithms, to obtain Raman spectra free from fluorescence interference.
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