Different aggregates of LHC II play a very important role in regulating the light absorption and excitation energy transfer of plant. Trimeric LHC II was purified from spinach thylakoid membrane. In order to obtain the dimeric and monomeric LHC II, the trimer was treated with the mixture of 2% OGP and 10 microg/mL PLA(2), then loaded onto the sucrose density gradient in the presence of 0.06% triton X-100. The LHC II trimer, dimer and monomer isolated by sucrose density gradient all contained three polypeptides with molecular weight of 29, 28 and 26 kd respectively. The pigment composition showed much difference in the content of Chl b and xanthophyll among three forms of LHC II. To study the light capture and excitation energy transfer in different forms of LHC II, the absorption and fluorescence spectra were analyzed. The results clearly showed that the efficiency of energy absorption and transfer was different in the three kinds of LHC II, the highest for trimeric LHC II, intermediate for dimeric LHC II, and the lowest for monomeric LHC II. It was suggested that there might be a physiological homeostasis of different aggregates of LHC II in plants, which is significant for the plant self-regulating upon exposure to variable light environment.
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http://dx.doi.org/10.1360/02yc0195 | DOI Listing |
BMC Neurol
January 2025
Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, School of Medicine, College of Medicine, National Sun Yat-Sen University, No. 123 Ta-Pei Road, Niao-Sung Dist, Kaohsiung, 83305, Taiwan.
Background And Purpose: White matter hyperintensities in brain MRI are key indicators of various neurological conditions, and their accurate segmentation is essential for assessing disease progression. This study aims to evaluate the performance of a 3D convolutional neural network and a 3D Transformer-based model for white matter hyperintensities segmentation, focusing on their efficacy with limited datasets and similar computational resources.
Materials And Methods: We implemented a convolution-based model (3D ResNet-50 U-Net with spatial and channel squeeze & excitation) and a Transformer-based model (3D Swin Transformer with a convolutional stem).
Phys Rev Lett
December 2024
CERN, Geneva, Switzerland.
High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.
View Article and Find Full Text PDFEur Phys J C Part Fields
December 2024
Department of Physics and Astronomy, University College London, London, WC1E 6BT UK.
World J Gastroenterol
December 2024
School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.
Background: Diagnosing laryngopharyngeal reflux (LPR) is challenging due to overlapping symptoms. While proton pump inhibitors (PPIs) are commonly prescribed, reliable predictors of their responsiveness are unclear. Reflux monitoring technologies like dual potential of hydrogen (pH) sensors and multichannel intraluminal impedance-pH (MII-pH) could improve diagnosis.
View Article and Find Full Text PDFHeliyon
December 2024
University of Münster, Schlossplatz 2, Münster, 48149, Germany.
The introduction of next-generation extremely energetic particle accelerator facilities, such as the High-Luminosity upgrade of the LHC (HL-LHC) or the proposed future circular collider (FCC), will dramatically increase the energy stored in the circulating particle beams. This will critically affect the thermo-physical and mechanical properties of the materials adopted, possibly compromising their reliability during the operating lifetime. In this scenario, it is paramount to assess the dynamic thermo-mechanical response of materials presently used, or being developed for future use, in beam intercepting devices exposed to potentially destructive events caused by the impact of energetic particle beams.
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