Search

To solve the problems of the high temperature and poor temperature uniformity of lithium batteries, a liquid cooling topology optimization using a neural network as a proxy model is proposed. The reduction of average cell temperature and cold plate pressure drop are taken as the optimization objectives. The effects of basin volume fraction, Reynolds number and boundary conditions on the topological results are investigated. A proxy model is established using neural networks and transfer learning. The differences between the predicted and true values of the source model and the target model do not exceed 10% and 15%, respectively. The improved optimization algorithm is combined with the proxy model. When the number of inlets and outlets is both three, the fitness value reaches 5.33. Compared to before optimization, the target value increased by 37.7%. The maximum battery temperature was reduced by 2.3% and the maximum temperature difference was reduced by 35.3%. [ABSTRACT FROM AUTHOR]

BackgroundRadionuclide labeled somatostatin analogs can specifically bind to somatostatin receptors (SSTRs) on the cell surface of neuroendocrine tumors (NETs), hence be used for imaging or treatment of NETs.PurposeThis study aims to label glycosylated KE108 protein with 18F nuclide, and to investigate the distributions and PET imaging of this probe in mice in vivo.MethodsA novel 18F-radiolabeled somatostatin analogue probe Gluc-Lys([Al18F]NOTA)-KE108 was designed and synthesized, which linked 18F nuclide and glycosylated KE108 protein by coupling bifunctional chelator (NOTA) to target SSTR positive tumors. The in vitro physicochemical properties, in vitro cell binding, ex vivo biodistribution and in vivo imaging of Gluc-Lys([Al18F]NOTA)-KE108 were further investigated to evaluate the SSTR targeting ability and feasibility of PET imaging in the diagnosis of NETs.ResultsThe efficiency of Gluc-Lys([Al18F]NOTA)-KE108 obtained with moderate labelling is (30±5)% without corrected (n=6), and the radiochemical purity is higher than >95%. The radiochemical yield is ((20±5)%, uncorrected) (n=6), and the total synthesis time is about 20 min. The specific activity is more than 1.37 GBq∙μmol-1. The probe shows expected nanomolar binding affinity in SSTR-positive AR42J and BON1 tumor cells, which Kd values are (152.3±49.1) nmol∙L-1 and (45.5±13.6) nmol∙L-1, respectively, and can be specifically inhibited, showing high SSTR targeting ability. In PET imaging of AR42J tumor bearing mice, Gluc-Lys([Al18F]NOTA)-KE108 has a high uptake of radioactivity and a high ratio of tumor to muscle uptake.ConclusionsGluc-Lys([Al18F]NOTA)-KE108 has high hydrophilicity and good stability in vitro, hence be served as a potential imaging agent for SSTR-positive tumors.

By utilizing top-of-atmosphere radiation (TOAR) data from China's new generation of geostationary satellites (FY-4A and FY-4B) along with interpretable machine learning models, near-surface particulate matter concentrations in China were estimated, achieving hourly temporal resolution, 4 km spatial resolution, and 100% spatial coverage. First, the cloudless TOAR data were matched and modeled with the solar radiation products from the ERA5 dataset to construct and estimate a fully covered TOAR dataset under assumed clear-sky conditions, which increased coverage from 20–30% to 100%. Subsequently, this dataset was applied to estimate particulate matter. The analysis demonstrated that the fully covered TOAR dataset (R2 = 0.83) performed better than the original cloudless dataset (R2 = 0.76). Additionally, using feature importance scores and SHAP values, the impact of meteorological factors and air mass trajectories on the increase in PM10 and PM2.5 during dust events were investigated. The analysis of haze events indicated that the main meteorological factors driving changes in particulate matter included air pressure, temperature, and boundary layer height. The particulate matter concentration products obtained using fully covered TOAR data exhibit high coverage and high spatiotemporal resolution. Combined with data-driven interpretable machine learning, they can effectively reveal the influencing factors of particulate matter in China. [ABSTRACT FROM AUTHOR]

The supply chain of medical 99Tcm in the world is still very fragile, so the development of 99Mo-99Tcm separation devices and processes based on non-fission 99Mo is very important to improve the security of 99Tcm supply in China. Activated carbon fiber (ACF) is a molybdenum technetium chromatographic separation material with excellent performance, which can be used to prepare non-fission 99Mo-99Tcm chromatographic generator with multi-column selective reverse generator (MSIG) structure. Based on the modification and evaluation of ACF, a three-column 99Mo-99Tcm separation and purification process was developed by using an automatic non-fission 99Mo-99Tcm generator, and the sodium pertechnetate ［99Tcm］ injection obtained by this device was used to label MDP and MIBI kits. The yield of 99Tcm in 99Mo-99Tcm simulated solution by nonfission 99Mo-99Tcm generator three-column separation process was 78%. The resulting sodium pertechnetate ［99Tcm］ injection, radiochemical purity and labeling rate of MDP and MIBI kits all met the requirements of Chinese Pharmacopoeia. The three-column selectivity inversion 99Mo-99Tcm generator based on ACF is expected to be used to extract 99Tcm from non-fission 99Mo.

The use of the chromatographic method to extract 99Tcm from the low specific activity 99Mo solution is an effective way to obtain medical isotope 99Tcm that meeting clinical requirements. It has been reported that the separation technologies must use strong acid or strong alkaline solutions, which require additional treatments. Exploring the method of separating technetium from neutral molybdenum solution can simplify the treatment process. A kind of activated carbon fiber was used to extract technetium from neutral low specific activity 99Mo (＜0.2 Ci/g Mo) in 1 mol/L NaCl solution. Neutral eluent was used to desorb technetium throughout the process, and the separation of molybdenum and technetium was realized. The recoveries of 99Tcm were more than 90%. The obtained sodium pertechnetate ［99Tcm］ injection met the requirements of the Chinese Pharmacopoeia without pH adjustation, and the labeling rate of MIBI and MDP for met the Chinese Pharmacopoeia claim. The results show that the extraction of 99Tcm from 99Mo with low specific activity (

"Low-lying" posterior communicating artery (PCoA) aneurysms require great attention in surgical clipping due to their distinct anatomical characteristics. In this study, we propose an easy method to immediately recognize "low-lying" PCoA aneurysms in neurosurgical practice. A total of 89 cases with "low-lying" PCoA aneurysms were retrospectively analyzed. All patients underwent preoperative digital subtraction angiography (DSA) examinations and microsurgical clipping. Cases were classified into the "low-lying" and regular groups based on intraoperative findings. The distance- and angle-relevant parameters that reflected the relative location of the aneurysms and tortuosity of the internal carotid artery were measured using 3D-DSA images. The data were sequentially integrated into a mathematical analysis to obtain the prediction model. Finally, we proposed a novel mathematical formula to preoperatively predict the existence of "low-lying" PCoA aneurysms with great accuracy. Neurosurgeons might benefit from this model, which enables them to directly identify "low-lying" PCoA aneurysms and make appropriate surgical decisions accordingly. [ABSTRACT FROM AUTHOR]