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Development of a Digital Interface for Personalized Dosing in Renal Impaired Patients: A Case-Study Using the ACE-Inhibitor Benazepril

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Studies in Health Technology and Informatics 2023年 301卷 133-139页

作者： Reinisch, Valerie Paudel, Amrit Pinto, Joana T. Research Center Pharmaceutical Engineering GmbH Graz Austria Institute for Process and Particle Engineering University of Technology Graz Austria

ISBN: (纸本)9781643683867

Background: Personalized dosing regimens have great potential to improve the standard level of care from "one-fits-all" to the "right dose, to the right patient at the right time". Objectives: Development of a digital interface that can inform healthcare professionals on the dosing of an ACE inhibitor on an individual basis. Methods: A physiologically based pharmacokinetic (PBPK) model and a one-compartment model were implemented for the prodrug benazepril and its metabolite benazeprilat, respectively. In sequence, to capture inter-individual differences the models were extended to a population based one (PopPBPK). Results: Both models predicted the pharmacokinetic data in the observed ranges. Application of the models help identify the factors influencing drug concentrations in the body and to find subgroups of patients, in which a dose adjustment is recommended, or a higher degree of caution is required. Conclusion: The use of the models via a practical user interface can help inform clinical decisions and design optimal dosing based on the individual anthropometric characteristics and stage of renal impairment. © 2023 The authors, AIT Austrian Institute of Technology and IOS Press.

关键词： User interfaces

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Structural characterization of three acidic polysaccharides from Opuntia dillenii *** and their protective effect against hydrogen peroxide-induced oxidative stress in Huh-7 cells

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Food Science and Human Wellness 2024年第4期13卷 1929-1942页

作者： Rui Liu Fangxin Chu Zheng Yan Hanqing Chen School of Food and Biological Engineering Hefei University of TechnologyHefei 230601China Engineering Research Center of Bio-Process Ministry of EducationHefei University of TechnologyHefei 230601China

Three novel acidic polysaccharide fractions(OFPP-1,OFPP-2,OFPP-3)with different m olecular weights(803.7,555.1 and 414.5 k Da)were isolated from the peeled Opuntia dillenii *** by alkali-extraction,graded alcohol precipitation and column *** analysis indicated that OFPPs were pectic polysaccharides consisting of rhamnose,arabinose and galactose *** backbone of OFPP-1 consisted of a repeating unit→6-α-D-Galp A-(1→2)-α-L-Rhap-(1→with T-α-D-Galp A-(1→6)-α-D-Galp A-(1→4)-α-D-Glcp-(1→,T-β-D-Xylp-(1→6)-α-D-Galp A-(1→4)-α-D-Glcp-(1→or T-α-D-Galp A-(1→3)-α-L-Araf-(1→as the side *** backbone of OFPP-2 consisted of a disaccharide repeating unit→2)-α-L-Rhap-(1→4)-β-D-Galp A-(1→with T-β-L-Araf-(1→as the branches substituted at the O-4 position of→2,4)-α-LRhap-(1→.Whereas the backbone of OFPP-3 was→2,4)-α-L-Rhap-(1→2)-α-L-Rhap-(1→3)-β-L-Araf-(1→or→2,4)-α-L-Rhap-(1→2)-α-L-Rhap-(1→4)-β-D-Galp A-(1→,which was branched at the O-4 position of→2,4)-α-L-Rhap-(1→.Moreover,these three polysaccharide fractions could protect Huh-7 cells against H2O2-induced oxidative stress to different extents by decreasing the MDA content and increasing the SOD,CAT,GSH-Px activities and the GSH level in the Huh-7 *** results suggest that OFPPs have the potential to be used as natural antioxidants.

关键词： Opuntia dillenii Haw.fruits Polysaccharide Alkali extraction Structural characterization Oxidative stress

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RE-SEGNN:recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting

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Science China(Information Sciences) 2025年第2期68卷 103-119页

作者： Wenyu CAI Mengfan LI Xuanhua SHI Yuanxin FAN Quntao ZHU Hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and Technology

Temporal knowledge graph(TKG) reasoning, has seen widespread use for modeling real-world events, particularly in extrapolation settings. Nevertheless, most previous studies are embedded models, which require both entity and relation embedding to make predictions, ignoring the semantic correlations among different entities and relations within the same timestamp. This can lead to random and nonsensical predictions when unseen entities or relations occur. Furthermore, many existing models exhibit limitations in handling highly correlated historical facts with extensive temporal depth. They often either overlook such facts or overly accentuate the relationships between recurring past occurrences and their current counterparts. Due to the dynamic nature of TKG, effectively capturing the evolving semantics between different timestamps can be *** address these shortcomings, we propose the recurrent semantic evidenceaware graph neural network(RE-SEGNN), a novel graph neural network that can learn the semantics of entities and relations simultaneously. For the former challenge, our model can predict a possible answer to missing quadruples based on semantics when facing unseen entities or relations. For the latter problem, based on an obvious established force, both the recency and frequency of semantic history tend to confer a higher reference value for the current. We use the Hawkes process to compute the semantic trend, which allows the semantics of recent facts to gain more attention than those of distant facts. Experimental results show that RE-SEGNN outperforms all SOTA models in entity prediction on 6 widely used datasets, and 5 datasets in relation prediction. Furthermore, the case study shows how our model can deal with unseen entities and relations.

关键词： knowledge graph reasoning temporal knowledge graph Hawkes process semantic evidence

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Analysis and Optimization of Transient Mode Switching Behavior for Power Split Hybrid Electric Vehicle with Clutch Collaboration

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Automotive Innovation 2024年第1期7卷 150-165页

作者： Dehua Shi Sheng Liu Yujie Shen Shaohua Wang Chaochun Yuan Long Chen Automotive Engineering Research Institute Jiangsu UniversityZhenjiang 212013China Jiangsu Province Engineering Research Center of Electric Drive System and Intelligent Control for Alternative Vehicles Zhenjiang 212013China

The power split hybrid electric vehicle(HEV)adopts a power coupling configuration featuring dual planetary gearsets and multiple clutches,enabling diverse operational modes through clutch engagement and *** multi-clutch configuration usually involves the collaboration of two clutches during the transient mode switching process,thereby substantially elevating control *** study focuses on power split HEVs that integrate multi-clutch mechanisms and investigates how different clutch collaboration manners impact the characteristics of transient mode *** powertrain model for the power-split HEV is established utilizing matrix-based *** the formulation of clutch torque curves and clutch collaboration models,this research systematically explores the effects of clutch engagement timing and the duration of clutch slipping state on transient mode switching *** upon this analysis,an optimization problem for control parameters pertaining to the two collaborative clutches is *** simulated annealing algorithm is employed to optimize these control *** results demonstrate that the clutch collaboration manners have a great influence on the transient mode switching *** with the pre-calibrated benchmark and the optimal solution derived by the genetic algorithm,the maximal longitudinal jerk and clutch slipping work during the transient mode switching process is reduced obviously with the optimal control parameters derived by the simulated annealing *** study provides valuable insights for the dynamic coordinated control of the power-split HEVs featuring complex clutch collaboration mechanisms.

关键词： Power split hybrid electric vehicle Transient mode switching Clutch collaboration Simulated annealing Powertrain model

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Overview of in-situ oxygen production technologies for lunar resources

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 233-255页

作者： Youpeng Xu Sheng Pang Liangwei Cong Guoyu Qian Dong Wang Laishi Li Yusheng Wu Zhi Wang College of Materials Science and Engineering Shenyang University of TechnologyShenyang 110870China CAS Key Laboratory of Green Process and Engineering National Engineering Research Center for Green Recycling of Strategic Metal ResourcesInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China Innovation Academy for Green Manufacture Chinese Academy of SciencesBeijing 100190China School of Chemical Engineering University of Chinese Academy of SciencesBeijing 100049China

The rich resources and unique environment of the Moon make it an ideal location for human expansion and the utilization of extraterrestrial ***,crucial for supporting human life on the Moon,can be extracted from lunar regolith,which is highly rich in oxygen and contains polymetallic *** oxygen and metal extraction can be achieved using existing metallurgical ***,the ample reserves of water ice on the Moon offer another means for oxygen *** paper offers a detailed overview of the leading technologies for achieving oxygen production on the Moon,drawing from an analysis of lunar resources and environmental *** delves into the principles,processes,advantages,and drawbacks of water-ice electrolysis,two-step oxygen production from lunar regolith,and one-step oxygen production from lunar *** two-step methods involve hydrogen reduction,carbothermal reduction,and hydrometallurgy,while the one-step methods encompass fluorination/chlorination,high-temperature decomposition,molten salt electrolysis,and molten regolith electrolysis(MOE).Following a thorough comparison of raw materials,equipment,technology,and economic viability,MOE is identified as the most promising approach for future in-situ oxygen production on the *** the corrosion characteristics of molten lunar regolith at high temperatures,along with the Moon's low-gravity environment,the development of inexpensive and stable inert anodes and electrolysis devices that can easily collect oxygen is critical for promoting MOE technology on the *** review significantly contributes to our understanding of in-situ oxygen production technologies on the Moon and supports upcoming lunar exploration initiatives.

关键词： lunar resources in-situ oxygen production space metallurgy molten lunar regolith electrolysis

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Thermal decomposition mechanism and particle size regulation in calcination of barium titanyl oxalate tetrahydrate for fabricating barium titanate nanoparticles

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Particuology 2025年第3期98卷 94-104页

作者： Yunfei Yan Haixia Zhang Junrong Yue Yu Guan Lei Shao State Key Laboratory of Mesoscience and Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing100190China Research Center of the Ministry of Education for High Gravity Engineering and Technology College of Chemical EngineeringBeijing University of Chemical TechnologyBeijing100029China School of Chemical Engineering University of Chinese Academy of SciencesBeijing100049China

Barium titanate(BaTiO_(3))is an important ferroelectric and electronic ceramic material because of its outstanding dielectric and ferroelectric *** demand for BaTiO_(3) nanoparticles with adjustable particle size has increased extensively due to the miniaturization of electronic *** oxalate precipitation method is regarded as a highly attractive technology for fabricating BaTiO_(3) nanoparticles,as it enables large-scale production at a low ***,the calcination process is a crucial step that significantly influences the particle size and morphology of the obtained BaTiO_(3) *** study investigates the thermal decomposition mechanism and particle size regulation strategies during the calcination of barium titanyl oxalate tetrahydrate(BTOT)for fabricating BaTiO_(3) *** Kissinger-Akahira-Sunose(KAS)model is used to calculate the kinetic parameters of BTOT thermal decomposition process,and the results indicate that the decomposition process can be divided as four stages,with the average activation energy of 60.77,269.89,484.72,and 199.82 kJ/mol,*** average activation energy reaches its maximum value in the third stage,indicating that the thermal decomposition reaction in this stage is more challenging to occur compared to the other *** gas release behaviors of H_(2)O,CO,and CO_(2) are analyzed on-line during the thermal decomposition of BTOT,and the overall reaction mechanism is ***,by adjusting the calcination parameters,the particle size of BaTiO_(3) could be effectively regulated within the range of 25-120 *** the heating rate from 10 to 40 K/min decreases the average particle size of BaTiO_(3) from 62 to 44 *** the calcination time from 0 to 120 min increases the average particle size from 25 to 71 *** the terminal temperature from 1173 to 1273 K significantly increases the average particle size from 56 to 120 ***,accelerating the heating rat

关键词： BaTiO_(3) Barium titanyl oxalate tetrahydrate Thermal decomposition Activation energy

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Fault Diagnosis for Railway Point Machines Using VMD Multi-Scale Permutation Entropy and ReliefF Based on Vibration Signals

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Chinese Journal of Electronics 2025年第1期34卷 204-211页

作者： Yongkui Sun Yuan Cao Peng Li Shuai Su National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University School of Automation and Intelligence Beijing Jiaotong University Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University

The railway point machine plays an important part in railway systems. It is closely related to the safe operation of trains. Considering the advantages of vibration signals on anti-interference, this paper develops a novel vibration signal-based diagnosis approach for railway point machines. First, variational mode decomposition(VMD)is adopted for data preprocessing, which is verified more effective than empirical mode decomposition. Next, multiscale permutation entropy is extracted to characterize the fault features from multiple scales. Then ReliefF is utilized for feature selection, which can greatly decrease the feature dimension and improve the diagnosis accuracy. By experiment comparisons, the proposed approach performs best on diagnosis for railway point machines. The diagnosis accuracies on reverse-normal and normal-reverse processes are respectively 100% and 98.29%.

关键词： Vibrations Fault diagnosis Accuracy Data preprocessing Switches Feature extraction Rail transportation Entropy Maintenance Monitoring

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Efficient Penetration Testing Path Planning Based on Reinforcement Learning with Episodic Memory

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Computer Modeling in engineering & Sciences 2024年第9期140卷 2613-2634页

作者： Ziqiao Zhou Tianyang Zhou Jinghao Xu Junhu Zhu Henan Key Laboratory of Information Security National Engineering Technology Research Center of the Digital Switching SystemZhengzhou450000China School of Cryptographic Engineering Information Engineering UniversityZhengzhou450000China

Intelligent penetration testing is of great significance for the improvement of the security of information systems,and the critical issue is the planning of penetration test *** view of the difficulty for attackers to obtain complete network information in realistic network scenarios,Reinforcement Learning(RL)is a promising solution to discover the optimal penetration path under incomplete information about the target *** RL-based methods are challenged by the sizeable discrete action space,which leads to difficulties in the ***,most methods still rely on experts’*** address these issues,this paper proposes a penetration path planning method based on reinforcement learning with episodic ***,the penetration testing problem is formally described in terms of reinforcement *** speed up the training process without specific prior knowledge,the proposed algorithm introduces episodic memory to store experienced advantageous strategies for the first ***,the method offers an exploration strategy based on episodic memory to guide the agents in *** design makes full use of historical experience to achieve the purpose of reducing blind exploration and improving planning ***,comparison experiments are carried out with the existing RL-based *** results reveal that the proposed method has better convergence *** running time is reduced by more than 20%.

关键词： Intelligent penetration testing penetration testing path planning reinforcement learning episodic memory exploration strategy

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Numerical study on the effects of rupture disk opening manner on high-pressure hydrogen release and spontaneous ignition

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International Journal of Hydrogen Energy 2024年 139卷 854-867页

作者： Lu, Chen Zhang, Ruiming Zheng, Jinyang Ma, Kai Li, Qinan Institute of Process Equipment College of Energy Engineering Zhejiang University Hangzhou China Engineering Research Center of High Pressure Process Equipment and Safety MOE China Hydrogen Energy Institute Zhejiang University Hangzhou China

Spontaneous ignition of released high-pressure hydrogen is one major safety hazard for rupture disk (RD) device used in hydrogen energy pressure equipment. This study numerically investigates the effects of two RD opening manners, tearing from the center and along the circumference, corresponding to C-scored RD and Cross-scored RD respectively, on high-pressure hydrogen release and spontaneous ignition, using the LES, RNG, and EDC models, kinetics mechanism considering pressure-dependent reaction. Results show that the direction of shock waves generated by C-scored RD is highly concentrated, which leads to higher temperature locally, promoting spontaneous ignition. However, the theoretical opening time of C-scored RD is also affected by opening manner, and is derived to be longer than that of Cross-scored RD, which is unfavorable for ignition. These two effects antagonize each other. As a result, the first spontaneous ignition of C-scored RD occurs much later than that of Cross-scored RD, and its flame is weaker, even a complete flame surface across the entire tube section has not been formed before leaving tube. © 2023 Hydrogen Energy Publications LLC

关键词： Rupture disks

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Fabrication of a novel Z-S-scheme photocatalytic fuel cell with the Z-scheme TiO_(2)/GO/g-C_(3)N_(4) photoanode and S-scheme BiOAc_(1−x)Br_(x)/BiOBr photocathode for TC degradation

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Journal of Materials Science & Technology 2024年第21期188卷 11-26页

作者： Tingting Yu Bing Yang Rong Zhang Chenyu Yang Arramel Jizhou Jiang School of Environmental and Chemical Engineering Jiangsu Ocean UniversityLianyungang 222005China School of Environmental Ecology and Biological Engineering Key Laboratory of Green Chemical Engineering Process of Ministry of EducationEngineering Research Center of Phosphorus Resources Development and Utilization of Ministry of EducationNovel Catalytic Materials of Hubei Engineering Research CenterWuhan Institute of TechnologyWuhan 430205China Nano Center Indonesia Jalan Raya PUSPIPTEKSouth TangerangBanten 15314Indonesia

The upsurge of interest in the emergence of photocatalytic fuel cell systems(PFC)presents an efficient and environmentally friendly approach to wastewater *** this work,a Z-scheme coupled with an S-scheme heterojunction electrode was used in the PFC,utilizing TiO_(2)/GO/g-C_(3)N_(4)as the photoanode and BiOAc_(1–x)Br_(x)/BiOBr as the *** systematically align the band structures between the anode and cathode,which facilitates the electron transfer between the *** attempt successfully demonstrates that collaborative power generation facilitates the high efficiency of tetracycline hydrochloride(TC)degradation at both *** photoanode achieved a 94.87%degradation rate for TC,while the photocathode exhibited a 96.33%degradation rate after 2 h,surpassing pristine BiOBr and BiOAc by factors of∼5.3 and∼3.8,***,this work proposed a mechanism for electron generation,transport,and pollutant degradation mechanism in the *** substances generated during the degradation of TC were analyzed through high-performance liquid chromatographymass spectrometry(HPLC-MS)and ultraviolet photoelectron spectroscopy(UPS),while the optimal degradation pathway was confirmed using density functional theory(DFT).The findings of this work establish the feasibility of efficiently degrading pollutants through PFC treatment,introducing a novel system where various heterojunctions in bipolar materials collaborate with photocatalysis to effectively generate electricity and enhance pollutant removal.

关键词： Photocatalytic fuel cell Wastewater purification S-scheme heterojunction Density functional theory

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