To acquire the depth profile of suspended particle scattering coefficient and the mechanism of surface reflection, three different depths of Taihu Lake scattering coefficient and backscattering coefficient are obtained in Nov. 2008, respectively. And their characteristic variation with depth is studied. Profiling distribution of the slope of particulate size distribution (PSD) is computed by the attenuation coefficient. Profiling distribution of the concentration and composition of suspended particle is computed according the relationship between the scattering coefficient and the suspended particle concentration. Impact dominant factors on scattering coefficient of the depth of water are divided according to the range of refractive index. At the three depths (0, 50, 100 cm), the particle scattering, with the percentage 14%, 17%, 12% of the samples are dominated by algae, respectively. 35%, 30%, 34% of the samples are dominated by inorganic particulate matter and Non-algal organic particulate matter,and 51%, 53%, 51% of the samples are dominated by the above all. The results can be concluded as: scattering and backscattering coefficient of Taihu Lake water body changes with depth slightly. The concentration of total suspended particles is of more diversity in different lake area, but there is less difference at different depths except those samples near the inflow rivers. The main factors of scattering coefficient of most aquatic scattering in Taihu Lake had little difference at different depths, except several samples beside the inflow rivers.
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J Chem Phys
January 2025
Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z1, Canada.
We present an algorithm that combines quantum scattering calculations with probabilistic machine-learning models to predict quantum dynamics rate coefficients for a large number of state-to-state transitions in molecule-molecule collisions much faster than with direct solutions of the Schrödinger equation. By utilizing the predictive power of Gaussian process regression with kernels, optimized to make accurate predictions outside of the input parameter space, the present strategy reduces the computational cost by about 75%, with an accuracy within 5%. Our method uses temperature dependences of rate coefficients for transitions from the isolated states of initial rotational angular momentum j, determined via explicit calculations, to predict the temperature dependences of rate coefficients for other values of j.
View Article and Find Full Text PDFFor Res (Fayettev)
December 2024
State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing 100091, China.
Polyphenols, as one of the primary compounds produced by plant secondary metabolism, have garnered considerable attention because of their non-toxic, environmentally friendly, and biodegradable properties, as well as their notable medicinal value. This study presents a metabolomic analysis of polyphenols from 11 woody plants, including , , and , investigating a total of 40 polyphenolic metabolites. A differential metabolite dynamics map highlighted the five most differentiated substances among the 11 plants, including vitexin, dihydromyricetin, genistin, resveratrol, and isorhamnetin.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Chemistry, Faculty of Science, Arak University, Arak 38481-77584, Iran; Institute of Nanosciences &Nanotechnology, Arak University, Arak, Iran. Electronic address:
The rapid industrialization and human activities in catchments have posed notable global challenges in removing of heavy metal contaminants from wastewater. Here, Schiff-bases (SB) of cyanoguanidine (CG) and salicylaldehyde (SA) were covalently grafted on a magnetic nanocomposite of chitosan to form a hybrid magnetic nanostructure (FeO@CS-CGSB). The synthesized structure was characterized using various techniques such as Fourier transform infrared spectroscopy (FT-IR), field emission scanning electron microscopy (SEM), transmission electron microscopy (TEM), powder X-ray diffraction (XRD), thermogravimetric analysis (TGA), vibrating sample magnetometry (VSM), dynamic light scattering (DLS), zeta potential, and Brunauer-Emmett-Teller surface area analysis (BET).
View Article and Find Full Text PDFEClinicalMedicine
January 2025
Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Background: Drug use disorder (DUD) poses a major public health crisis globally, necessitating immediate attention to global trends and future projections to develop effective health policies and interventions. Thus, we aimed to estimate the global trends in DUD mortality rates from 1990 to 2021 and future projections of DUD deaths until 2040 across 73 countries.
Methods: In this time-series analysis and modelling study, we investigated the global trends in DUD mortality rates from 1990 to 2021 using the WHO Mortality Database and forecasted future trends through 2040.
Spectrochim Acta A Mol Biomol Spectrosc
January 2025
School of Physical and Applied Sciences, Goa University, Taleigao Plateau, Goa 403206, India. Electronic address:
Analyzing manure nutrients such as total ammonium nitrogen (NH), dry matter (DM), calcium oxide (CaO), total nitrogen (-N), phosphorus pentoxide (PO), magnesium oxide (MgO), and potassium oxide (KO) helps in fulfilling crop nutritional needs while improving the profitability and a lower risk of pollutants. This study used two Near Infra Red (NIR) spectral datasets of fresh and dried manure. The freshly prepared NHCl, CaO, Ca(OH), PO, MgO, and KO samples were used for spectral signature peak identification and calibration.
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