Search

Chloritization is a typical middle-low temperature hydrothermal alteration type of early ore-forming stage in Shulouqiu deposit of Changjiang rock mass in southern Zhuguang. In this paper, the chlorite in the horizontal alteration zone around the ore body are studied comprehensively by optical microscopy, electron probe and scanning electron microscopy. Based on the lithological characteristics and genesis of chlorite, they are divided into five types: fissure filling chlorite, biotite altered chlorite, feldspar altered chlorite, dolomite altered chlorite and spherical chlorite. The five types of chlorite are all trioctahedral iron-rich chlorite with the same structure type, belonging to three species: vermicular chlorite, ferromagnesian chlorite and uraninite chlorite. Then, the five types of chlorite may have formed in the same period of fluid action in the early ore-forming period, with the formation temperature between 219 ~ 282°C and log fo2 between -47.74 ~ -43.69. Combined with previous research results in the region, the early ore-forming fluid may be a crust-mantle mixed fluid dominated by mantle-derived materials, with strong reducibility. Its formation is related to the intrusion of regional basic veins, which provides a reducing field for the mineralization system, resulting in the reduction and precipitation of U6+ in the ore-forming fluid. [ABSTRACT FROM AUTHOR]

Purpose: Deep learning (DL) is widely used in dose prediction for radiation oncology, multiple DL techniques comparison is often lacking in the literature. To compare the performance of 4 state-of-the-art DL models in predicting the voxel-level dose distribution for cervical cancer volumetric modulated arc therapy (VMAT). Methods and Materials: A total of 261 patients' plans for cervical cancer were retrieved in this retrospective study. A three-channel feature map, consisting of a planning target volume (PTV) mask, organs at risk (OARs) mask, and CT image was fed into the three-dimensional (3D) U-Net and its 3 variants models. The data set was randomly divided into 80% as training-validation and 20% as testing set, respectively. The model performance was evaluated on the 52 testing patients by comparing the generated dose distributions against the clinical approved ground truth (GT) using mean absolute error (MAE), dose map difference (GT-predicted), clinical dosimetric indices, and dice similarity coefficients (DSC). Results: The 3D U-Net and its 3 variants DL models exhibited promising performance with a maximum MAE within the PTV 0.83% ± 0.67% in the UNETR model. The maximum MAE among the OARs is the left femoral head, which reached 6.95% ± 6.55%. For the body, the maximum MAE was observed in UNETR, which is 1.19 ± 0.86%, and the minimum MAE was 0.94 ± 0.85% for 3D U-Net. The average error of the Dmean difference for different OARs is within 2.5 Gy. The average error of V40 difference for the bladder and rectum is about 5%. The mean DSC under different isodose volumes was above 90%. Conclusions: DL models can predict the voxel-level dose distribution accurately for cervical cancer VMAT treatment plans. All models demonstrated almost analogous performance for voxel-wise dose prediction maps. Considering all voxels within the body, 3D U-Net showed the best performance. The state-of-the-art DL models are of great significance for further clinical applications of cervical cancer VMAT. [ABSTRACT FROM AUTHOR]

This paper presents a case study of a lithium battery and fuel cell integrated powertrain system for a renewable energy vehicle. The performance analysis includes evaluating the energy consumption of the vehicle and the efficiency of the power generation components. When driven solely by the lithium battery at average speeds of 15 km/h and 20 km/h, it was observed that speed significantly influences the travel distance of the vehicle, with higher speeds resulting in lower mileage. The energy efficiency rates were found to be 89.3% and 85.7% at speeds of 15 km/h and 20 km/h, respectively, indicating an 18.1% decrease in efficiency from low to higher speeds. When the lithium battery is solely charged by the hydrogen fuel cell, the efficiency under test conditions reaches approximately 32.5%. In the "FC + B + SC" driving mode, which combines the use of the lithium battery, fuel cell, and solar panel to power the vehicle, the travel range can be extended to 50.62 km and 42.05 km, respectively, representing an increase of over 50%, with overall efficiencies of 63.8% and 60.7%, respectively. This hybrid powertrain system exhibits rapid dynamic response, high energy and power density, and enables longer travel distances for the renewable energy vehicle. [ABSTRACT FROM AUTHOR]

Methylene blue dye has been widely used in many industries and usually released in natural water sources, which become a health thereat to human-beings and microbes. This paper demonstrates an oxidation method to remove methylene blue in water. The effect of natural organic matter humic acid, on the degradation of methylene blue using PMS was investigated. The results show that PMS could effectively degrade 50 mg/L methylene blue (>95%) when the PMS concentration was larger than 1.0 mM. Humic acid had either negative or positive impact on the degradation processes because of the co-existence of several competitive degradation mechanisms (I: humic acid competes with methylene blue for PMS; II: humic acid activates PMS to produce sulfate radicals; III: Cl–1 competes with methylene blue for sulfate radicals). This study is expected to provide valuable information to improve in situ remediation of dye-contaminated wastewater in the existence of natural organic matters.