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recovery of rare earth elements and thorium from acid leaching residue of ionic rare earth concentrates

Journal of rare Earths 2025年第4期43卷 794-804,I0006页

作者： Qiaofa Lan Xiaolin Zhang Fei Niu donghui Liu Leiting Shen Youming Yang Faculty of Materials Metallurgy and Chemistry Jiangxi University of Science and TechnologyGanzhou341000China National Engineering Research Center for Ionic Rare Earth Ganzhou341000China School of Metallurgy and Environment Central South UniversityChangsha410083China Guangdong Provincial Key Lab of R&D for Resource Utilization and Disposal of Hazardous Liquids Shenzhen518057China School of Rare Earth and New Materials Engineering Gannan University of Science and TechnologyGanzhou341000China Key Laboratory of Development and Application of Ionic Rare Earth Resources(Jiangxi University of Science and Technology) Ministry of EducationGanzhou341000China

The acid leaching residue(ALr)of ionic rare earth(IrE)concentrates containing radioactive elements such as thorium(Th)is classified as low-level radioactive *** holds valuable strategic resources such as rare earth and Th,while improper long-term heaping storage of ALr poses a substantial environmental *** paper proposes a comprehensive process involving low-temperature roasting,hydrochloric acid leaching,single extractant enrichment,and stepwise stripping to recover rare earth elements and thorium from *** achieved leaching efficiencies are 80.11%of LnY,99.43%of Sc(Ⅲ),and 98.67%of Th(Ⅳ)after the carbonization of the organic phase in the ALr through low-temperature *** large amounts of acid and impurities present in the leachate,2-ethylhexyl phosphonic acid mono 2-ethylhexyl ester(HEHEHP)still exhibits nearly 100%extraction efficiency for Sc(Ⅲ)and Th(Ⅳ).The effective separation of LnY,Th(Ⅳ),and Sc(Ⅲ)was achieved by implementing fractional extraction enrichment of Th(Ⅳ)and Sc(Ⅲ),followed by Th(Ⅳ)removal through H_(2)SO_(4)and Sc(Ⅲ)removal via NaOH from the loaded organic *** scheme successfully achieves a recovery of rE and Th and offers a viable solution for the safe disposal of ALr.

关键词： Low-level radioactive waste rare earths Thorium Solvent extraction resource recovery

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research and Application of Multilevel Wellbore Quality Quantification Method Based on random Forest Algorithm 13th

Research and Application of Multilevel Wellbore Quality Quan...

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13th International Field Exploration and development Conference, IFEdC 2023

作者： Xiao, Yue Zhou, Tuo Li, Hangyuan Kong, Xiangji Song, Lu diao, Shunong Liu, Jitong Zhong, Zhao Jin, Yulai Li, Bingrou CNPC Engineering Technology R&D Company Limited Beijing102206 China China National Oil and Gas Exploration and Development Corporation Beijing China National Engineering Research Center for Oil and Gas Drilling and Completion Technology Beijing China College of Petroleum Engineering Beijing China

ISBN: (纸本)9789819702558

The quality of drilling wellbore is crucial for oilfield companies to evaluate the construction acceptance of drilling operations, evaluate the wellbore quality before cementing operations, and smoothly implement subsequent casing and electrical logging tools. At present, the evaluation of wellbore quality only requires dispersed trajectory parameters of different well sections (well inclination angle, dog leg angle, target range), and only considers whether the trajectory parameters are within the qualified range during completion acceptance. A quantitative scoring method for wellbore quality has not yet been developed, which is not conducive to the evaluation of well quality by oilfield enterprises during drilling completion acceptance. In this paper, the key parameters such as deviation measurement interval, dogleg degree, maximum deviation and target hit are comprehensively considered. Based on the comprehensive method of mathematical statistics and Matlab programming calculation, a multi-level quantitative scoring model of well bore quality is established. The key parameters in the multi-level quantitative model of well bore quality are determined by using the main control factor analysis method of random forest algorithm. Taking the A oil field as an example, a quantitative scoring was conducted on the quality of 74 drilled wells in 2021 to evaluate the effectiveness of the operation team in controlling well quality. The analysis results showed that for the A oil field, the importance of factors affecting well quality was as follows: maximum inclination > Target radius > dog leg = survey interval. Crew 1 had better control over well quality, and the proportion of high-quality wells in 2021 decreased compared to 2020, The analysis results of the multi-level well bore quality quantification method based on random forest algorithm proposed in this paper are in line with the field work practice, which provides a theoretical basis for well bore quality quantificati

关键词： MATLAB

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How well can PPG be an alternative to ECG for acute stress detection in nonresting state?—Comprehensive evaluation using a dNN

How well can PPG be an alternative to ECG for acute stress d...

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International Conference on Affective Computing and Intelligent Interaction Workshops and demos (ACIIW)

作者： Yasuhide Hyodo Kiyoshi Yoshikawa Takanori Ishikawa Yota Komoriya Human Technology R&D Department Technology Development Laboratories Sony Corporation Tokyo Japan

Heart rate variability (HrV) analysis in a wristband photoplethysmography (PPG) device is gathering interest for emotion and stress recognition. However, motion artifacts are a critical issue, and comprehensive evaluation from HrV analysis to the model performance and interpretability should be conducted. In this study, we constructed a physiologically interpretable evaluation framework of HrV analysis and acute stress recognition using a deep neural network (dNN) in a wrist-worn PPG device compared with that in a chest-worn electrocardiography (ECG) device, considering motion artifacts, which are an important issue in wild environments. Furthermore, we developed model training and testing methods using a dNN that takes signal quality into account to achieve both accuracy (robustness against motion artifacts) and model interpretability in acute stress recognition in the wrist-worn PPG device. The results suggest that the method we developed improved the acute stress recognition performance of the wrist-worn PPG device throughout our experiments (78.4% accuracy and 77.0% F1 score). In addition, it was observed that the method for the wrist-worn PPG device demonstrated comparable performance and interpretability to the reference method for the chest-worn ECG device.

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Negative data in data Sets for Machine Learning Training

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JOUrNAL OF OrGANIC CHEMISTrY 2023年第9期88卷 5239-5241页

作者： Maloney, Michael P. Coley, Connor W. Genheden, Samuel Carson, Nessa Helquist, Paul Norrby, Per-Ola Wiest, Olaf Department of Chemistry and Biochemistry University of Notre Dame Notre Dame Indiana 46556 United States Department of Chemical Engineering and Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 United States Molecular AI Discovery Sciences R&D AstraZeneca Gothenburg Pepparedsleden 1 SE-431 83 Mölndal Sweden Early Chemical Development Pharmaceutical Sciences R&D AstraZeneca Macclesfield SK10 2NA U.K. Data Science and Modelling Pharmaceutical Sciences R&D AstraZeneca Gothenburg Pepparedsleden 1 SE-431 83 Mölndal Sweden

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The Comparison Study of Board Level drop and Set Level drop Performance

The Comparison Study of Board Level Drop and Set Level Drop ...

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International Conference on (ICEPT) Electronic Packaging technology

作者： Guosong Zhang Minyan Wu Yunpeng Shang Yonghua Zhou Tingzuo Tan Packaging Technology Development Team Samsung Semiconductor(China)R&D CO. LTD Suzhou China

ISBN: (数字)9798350353808

ISBN: (纸本)9798350353815

The IC failures induced by accidental dropping event of modern handheld electronic devices such as mobile phones may result from various failure modes such as cracking of package(PKG), solder joint, etc. Generally, the board level drop test is normally adopted to evaluate the IC failure risk instead of the set level drop test considering cost and efficiency. recently, however, the chip crack/damage failure rate in board level drop is much lower than that of mobile set level free drop. In this paper, a comprehensive study was performed to investigate the dynamic response characteristics of drop test with a customized PCB board when subjected to board level drop test and set level free drop test. The board level drop test was carried out according to JEdEC standard using a drop test apparatus, and the set level free drop test was employed by using the free drop machine. Moreover, two Finite Element models with reference to board level drop and set level free fall drop tests were developed to simulate the actual drop test scenarios based on two simplified FEA methods (Input-G method and impact velocity method, respectively). The simulation data were compared with experimental outputs to identify the FE Models in terms of accuracy of the results extracted. The dynamic key parameters of typical locations in PCB were analyzed to characterize performance difference during two kinds of drops. The measured and simulated data of corresponding locations in set level drop are all larger than those of board level drop in terms of impact acceleration intensity and duration, the strain response and the simulated chip stress. Comparing with board level drop response, a greater acceleration impact would induce a greater strain response, subsequently, the stress subjecting to chip of IC package is greater during set level free drop. Thus, we can conclude that the impact effect of set level free drop is severer than that of board level drop from experiment and simulation results, this

关键词： Accelerometers Semiconductor device measurement Tensile stress Simulation Life estimation Position measurement Strain measurement

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design and Implementation of Network Simulator for High Level Naval Ship System

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IEEE Access 2025年 13卷 90612-90625页

作者： Jang, Min-Hui Kim, Hyeong-Jin Go, Young-Keun Choi, Nak-Jung Lee, Jae-Ho Yu, Jae-Hak Lee, Jae-Min Jun, Tae-Soo Kim, dong-Seong Kumoh National Institute of Technology Dept. of IT Convergence Eng Gumi Korea Republic of NSLab Inc Technology Research Institute Gumi Korea Republic of Agency For Defense Development Maritime Technology Research Institute Jinhae Korea Republic of Naval R&D Center Hanwha Systems Boulder Gumi Korea Republic of Kumoh National Institute of Technology Dept. of Computer SW Eng Gumi Korea Republic of

Operational naval ship systems rely on advanced sensors and equipment to detect targets and manage weapon control and engagement. However, their growing complexity, driven by technological advancements and the increasing integration of clients and servers, necessitates changes in system architecture and network structure. To address these challenges, this paper presents the design and implementation of NSNS (Network Performance Evaluation Simulator for Naval Ship Combat System), a specialized simulator for advancing research on naval ship system networks. The NSNS provides a robust environment for performance analysis by leveraging the unique characteristics of naval ship combat system nodes and network properties. Its reliability was validated through comparisons with real-world system measurements, demonstrating consistent trends and acceptable error rates. This research underscores the importance of dedicated simulation tools for validating new naval network architectures and enhancing network reliability and availability in wartime scenarios. © 2013 IEEE.

关键词： Ship simulators

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Numerical Simulation research on Transient Thermal-Fluid-Chemical Coupling of Abandoned Wellbore 29th

Numerical Simulation Research on Transient Thermal-Fluid-Che...

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29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023

作者： Jiang, Jiwei Chen, Zhixue Chen, Yang Li, Jun Chen, Xuefeng Li, Mingyin Li, Bo CNPC Engineering Technology R&D Company Limited Beijing102206 China Middle East Branch of China Petroleum Technology and Development Corporation Beijing100028 China China University of Petroleum-Beijing Beijing102249 China Beijing Petroleum Machinery Company Limited Beijing102206 China

ISBN: (纸本)9783031449468

In the process of plugging wellbore with balanced plugging mud, hydration reaction kinetics, heat transfer and fluid mechanics interact with each other during the cement plugging stage, forming a complex physical and chemical process, which has not been fully taken into account in the current mechanical model of abandoned wellbore. Based on this, firstly, considering the hydration of cement plug during solidification stage, a transient heat-fluid-chemical coupling model of the abandoned wellbore is established. Then, the implicit finite difference method is used to discretized solve the simultaneous equations, and the characteristics of temperature distribution, hydration law of cement plug and pressure distribution of the abandoned wellbore are analyzed. The results show that the temperature of deep cement plug is almost constant after reaching the peak value under the coupling effect of thermal-fluid-chemical interaction, the temperature of shallow cement plug decreased significantly (by about 8 ℃) and the middle cement plug was followed by a reduction of about 5 ℃. The porosity and pore pressure of deep cement plug decreased rapidly, followed by the middle cement plug, and the shallow cement plug was the slowest. The hydration degree, gel strength and chemical shrinkage rate of the deep cement plug increased rapidly, followed by the middle cement plug, and the shallow cement plug was relatively slow. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Hydration

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Selenium-enriched Cardamine violifolia protects against sepsis-induced intestinal injury by regulating mitochondrial fusion in weaned pigs

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Science China(Life Sciences) 2023年第9期66卷 2099-2111页

作者： dan Wang Yanling Kuang Qingqing Lv Wenshuai Xie Xiao Xu Huiling Zhu Yue Zhang Xin Cong Shuiyuan Cheng Yulan Liu Hubei Key Laboratory of Animal Nutrition and Feed Science Wuhan Polytechnic UniversityWuhan 430023China Enshi Se-Run Material Engineering Technology Co. Ltd.Enshi 445000China National R&D Center for Se-rich Agricultural Products Processing School of Modern Industry for Selenium Science and EngineeringWuhan Polytechnic UniversityWuhan 430023China

Sepsis is a life-threatening organ dysfunction caused by the dysregulated response of the host to an infection, and treatments are limited. recently, a novel selenium source, selenium-enriched Cardamine violifolia(SEC) has attracted much attention due to its anti-inflammatory and antioxidant properties, but little is known about its role in the treatment of sepsis. Here, we found that SEC alleviated LPS-induced intestinal damage, as indicated by improved intestinal morphology, and increased disaccharidase activity and tight junction protein expression. Moreover, SEC ameliorated the LPS-induced release of pro-inflammatory cytokines, as indicated by decreased IL-6 level in the plasma and jejunum. Moreover, SEC improved intestinal antioxidant functions by regulating oxidative stress indicators and selenoproteins. In vitro, TNF-α-challenged IPEC-1 cells were examined and showed that selenium-enriched peptides, which are the main functional components extracted from Cardamine violifolia(CSP), increased cell viability, decreased lactate dehydrogenase activity and improved cell barrier function. Mechanistically, SEC ameliorated LPS/TNF-α-induced perturbations in mitochondrial dynamics in the jejunum and IPEC-1 cells. Moreover, CSPmediated cell barrier function is primarily dependent on the mitochondrial fusion protein MFN2 but not MFN1. Taken together,these results indicate that SEC mitigates sepsis-induced intestinal injury, which is associated with modulating mitochondrial fusion.

关键词： intestine MFN2 mitochondrial fusion piglets selenium sepsis

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research on defect Identification Algorithm of Power Network Telesignaling and Telemetry data Based on dynamic programming 3

Research on Defect Identification Algorithm of Power Network...

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3rd International Conference on Energy, Power and Electrical Engineering, EPEE 2023

作者： Huang, di Zhu, Chaoyue Qiu, Junliang Hu, Xixing Zheng, Weiyan Luo, Shaojie Zhejiang Dayou Industrial Co. Ltd. Hangzhou Science and Technology Development Branch R&d Department Hangzhou China Zhejiang Dayou Co. Ltd Marketing Department Hangzhou China

ISBN: (纸本)9798350318180

distribution networks manage numerous devices, however, their level of automation is relatively low, often resulting in false signals and relatively low data quality. Therefore, it has become extremely challenging to directly use telecontrol and telemeasurement data for defect identification. To address this issue, this paper proposes a defect identification algorithm for power grid telecontrol and telemeasurement data based on dynamic programming. Firstly, we employ data cleansing techniques to filter out erroneous data. Then, we introduce a dynamic density clustering-based method for detecting anomalies in power quality data, which can extract feature indicators of abnormal data and identify the defects in telecontrol and telemeasurement data. Next, we utilize the GrU-LightGBM network to identify defects in the telecontrol and telemeasurement data of the power grid. Finally, we compare this method with existing classification methods for defect identification in telecontrol and telemeasurement data through experiments. The experimental results demonstrate that our proposed method not only improves classification accuracy but also enhances generalization ability. © 2023 IEEE.

关键词： deep learning defect identification dynamic clustering dynamic programming

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Prior austenite grain boundary recognition in martensite microstructure based on deep learning

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Journal of Iron and Steel research International 2023年第5期30卷 1050-1056页

作者： Xuan-dong Wang Nan Li Hang Su Hui-min Meng Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijing 100083China Department of Structural Steel Central Iron and Steel Research Institute Co.Ltd.Beijing 100081China Material Digital R&D Center China Iron&Steel Research Institute Group Co.Ltd.Beijing 100081China Central Laboratory Central Iron and Steel Research Institute Co.Ltd.Beijing 100081China

Grain size determination is essential in producing and testing iron and steel *** size determination of martensitic steels usually requires etching with picric acid to reveal the prior austenite grain ***,picric acid is toxic and explosive and belongs to hazardous chemicals,which makes it difficult for laboratories and testing institutions to obtain.A new experimental method was developed to use Nital etchant instead of picric *** deep learning method was used to recognize the prior austenite grain boundaries in the etched martensite microstructure,and the grain size could be determined according to the recognition ***,the polished martensite specimen was etched twice with Nital etchant and picric acid,respectively,and the same position was observed using an optical *** images of the martensitic structure and its prior austenite grain boundary label were obtained,and a data set was ***,based on this data set,a convolutional neural network model with a semantic segmentation function was trained,and the accuracy rate of the test set was 87.53%.Finally,according to the recognition results of the model,the grain size rating can be automatically determined or provide a reference for experimenters,and the difference between the automatic determination results and the measured results is about 0.5 level.

关键词： Prior austenite grain boundary Microstructure etching Image recognition deep learning

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