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Deep-learning based electromagnetic navigation system for transthoracic percutaneous puncture of small pulmonary nodules
Invasion of pancreatic ductal epithelial cells by Enterococcus faecalis is mediated by fibronectin and enterococcal fibronectin-binding protein A
Preparation of ZnAl layered double hydroxides supported by silica for the treatment of Cr(VI) and Cu(II) in aqueous solution
Evolving trends in the prevalence and treatment of ankylosing spondylitis in Korea from 2010 to 2023: a population-based study
Synthesis and evaluation of nitrochromene derivatives as potential antileishmanial therapeutics through biological and computational studies
Effects of forest age and stand density on the growth, soil moisture content, and soil carbon content of Populus simoni plantations in the sandy area of western Liaoning, Northeast China
Abstract Poplar (Populus simoni) plantations are crucial in the sandy regions of western Liaoning, serving key roles in wind protection, sand stabilization, soil moisture regulation, and carbon sequestration. However, challenges such as suboptimal stand quality and limited ecological benefits persist. This study aims to elucidate the growth dynamics of poplar plantations and their impact on soil moisture content and soil carbon content in this region. We established 75 standard plots across various age groups and stand densities in Fuxin City, measuring poplar diameter at breast height (DBH), tree height (TH), soil moisture content, and soil carbon content. We found that DBH and TH increase with increasing stand density in young and middle-aged forests, but the opposite is true at near-maturity, maturity, and over-maturity, where DBH and TH decrease with increasing stand density. Soil moisture content rises with stand density in younger forests, while soil carbon content increases with age, with surface soil layers exhibiting higher carbon concentrations. The soil carbon stock in these plantations is approximately 3.0 × 106 tons, the highest recorded in Fuxin City. This research provides a foundation for the effective management and development of poplar plantations in wind-prone, sandy areas. Overall, optimizing stand density and managing forest age distribution are essential for enhancing the ecological and carbon sequestration benefits of poplar plantations in this region.
The application of machine learning approaches to classify and predict fertility rate in Ethiopia
Population-level shape variation and otolith asymmetry in Diplodus annularis
Multi-branch LSTM encoded latent features with CNN-LSTM for Youtube popularity prediction
Seasonal forecasting of East African short rains
Proximal tubule-on-chip as a model for predicting cation transport and drug transporter dynamics
Abstract Deciphering the sources of variability in drug responses requires to understand the processes modulating drug pharmacokinetics. However, pharmacological research suffers from poor reproducibility across clinical, animal, and experimental models. Predictivity can be improved by using Organs-on-Chips, which are more physiological, human-oriented, micro-engineered devices that include microfluidics. OoC are particularly relevant at the fundamental and preclinical stages of drug development by providing more accurate assessment of key pharmacokinetic events. We have developed a proximal tubule-on-a-chip model combining commercial microfluidic and chip technologies. Using the RPTEC/TERT1 cell line, we set up a dual-flow system with antiparallel flows to mimic the dynamics of blood and urine. We assessed transporters mRNA expression, cellular polarization and protein expression via immunofluorescence, and monitored the transcellular transport of prototypic xenobiotics by determining their efflux ratios. Our results show that flow exposure significantly modulate mRNA expression of drug membrane transporters. Dynamic conditions also enhance cell polarization, as evidenced by preferential basal and apical expressions of Na + /K + -ATPase, P-gp, OCT2, and MATE1 , as well as the cellular secretory profile. We demonstrated unidirectional transcellular transport of metformin with a higher efflux than influx ratio, inhibited with OCT2 inhibitor, thus confirming the relevance of our proximal tubule-on-a-chip set up for cation transport investigations. Our proximal tubule-on-a-chip can also be used to explore the interactions between transporters, xenobiotics, and endogenous metabolites, possibly involved in the variability of individual drug responses. This study provides additional evidence that OoC can help bridge the gaps between systemic and local pharmacokinetics.
Association between cognitive restraint, emotional eating, uncontrolled eating, and body mass index among health care professionals
Enhancing black mulberry storage with sodium caseinate and gum tragacanth edible films
Machine learning classification and biochemical characteristics in the real-time diagnosis of gastric adenocarcinoma using Raman spectroscopy
Multi-objective optimization of hybrid energy systems using gravitational search algorithm
Transcriptome analysis of liver injury of fatty liver disease induced by ALDH2 deficiency
Echocardiography evaluation of iatrogenic atrial septal defect after combined procedure of catheter ablation and left atrial appendage closure for atrial fibrillation
Cost-effectiveness analysis of durvalumab with chemotherapy and maintenance durvalumab with or without olaparib for advanced endometrial cancer
Real-time trajectory imaging of alpha particles emitted from actinium-225 and its daughter radionuclides
Abstract In targeted alpha-particle therapy, actinium-225 (Ac-225) has emerged as a radionuclide of potential, driving extensive efforts to develop innovative radiopharmaceuticals. High-resolution imaging of alpha particles is required for precisely detecting alpha-emitting radionuclides in cellular environments and small organs. Here, we report real-time trajectory imaging of alpha particles emitted by Ac-225 and its daughter radionuclides, utilizing an alpha particle trajectory imaging system. This system incorporates a magnification unit, a cooled electron-multiplying charge-coupled device (EM-CCD) camera, and a Ce-doped Gd3Al2Ga3O12 (GAGG) scintillator. Alpha particles were projected onto the GAGG scintillator, producing magnified images that were captured at 100 ms intervals. We successfully tracked particle trajectories with varying lengths and intensities for 4 different alpha particles emitted from Ac-225 and its daughter radionuclides with a spatial resolution of 1.0 μm. Notably, we achieved the imaging of sequentially emitted trajectories from Fr-221 and its decay product At-217, characterized by short decay intervals, along with the extended trajectories of high-energy alpha particles emitted by Po-213. These results demonstrate that high-resolution trajectory imaging, integrated with temporal and energy information, offers profound insights into the real-time behavior of Ac-225 and its daughter radionuclides within living cells or tissue sections, thereby driving advancements in targeted alpha-particle therapy.