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Effect of purine diet on prognosis of deep brain stimulation for Parkinson's disease

Food Science and Human Wellness 2025年第3期14卷 1026-1033页

作者： Bowen Chang Yuge Jiang Chuanxing Feng Bowen Li Jiaming Mei Chaoshi Niu Department of Neurosurgery The First Affi liated Hospital of USTCDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei 230001China Key Laboratory of Xin’an Medicine Ministry of EducationAnhui Provincial Key Laboratory of R&D of Chinese MedicineAnhui University of Chinese MedicineHefei 230038China Center for Food Nutrition and Functional Food Engineering School of Food Science and TechnologyJiangnan UniversityWuxi 214122China

Uric acid(UA)is a naturally antioxidant that is strongly associated with the development and progression of Parkinson's disease(Pd).The purine diet is an important exogenous pathway that modulates blood UA *** brain stimulation(dBS)is an important tool for Pd *** study aimed to explore the effects of preoperative purine diet on the prognosis of patients with Pd after ***-four patients with Pd who underwent dBS were included in this study,and their clinical data,blood UA levels,and daily purine *** were followed up for improvement 1 year after *** found that patient higher purine intake was strongly associated with the rate of improvement after dBS and was a protective factor for patient *** purine intake from meat and seafood was significantly higher in the responsive patients than in the lessresponsive *** analysis showed that UA mediated 78%of the effect of purine intake on motor symptom improvement after *** summary,we observed that purine intake is strongly associated with the rate of improvement in motor symptoms after subthalamic nucleus-dBS in patients with *** study provides a reference for preoperative diet planning in patients with Pd undergoing dBS.

关键词： Purine diet Nutrition Parkinson’s disease deep brain stimulation Brain connectivity

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Low-Noise and High-Power Spoke-Type Magnet-Assisted Flat-Plate IPMSM for Integrated Starter Generator Motor

Low-Noise and High-Power Spoke-Type Magnet-Assisted Flat-Pla...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Okazaki, Kodai Miyama, Yoshihiro Kitao, Junji Takahashi, Tomohira Kumagai, Kengo Ohashi, Naoki Ota, Naomichi Totsuka, Fumitaka Mitsubishi Electric Corporation Advanced Technology R&d Center Hyogo Japan Himeji Works Mitsubishi Electric Corporation Hyogo Japan Mitsubishi Electric Corporation Component Production Engineering Center Hyogo Japan

ISBN: (纸本)9798350316445

This study proposes a low-noise high-power motor for integrated starter generators (ISGs) and a stress reduction technique for a flat-plate interior permanent magnet synchronous motor (IPMSM) rotor structure, and applies a spoke-type permanent magnet-assisted structure that improves the generating power without increasing noise and vibration (NV). Our proposed spoke-type magnet-assisted flat-plate IPMSM technique with 10% current increasement improves the generating power by 26.5% and achieves 24.3 kW, suppressing increases in the NV level. In this study, we demonstrate a novel stress reduction concept and a low NV concept for a spoke-type permanent magnet-assisted flat-plate IPMSM. Measured results of the proposed motor show good agreement with the simulation results and demonstrate NV levels equivalent to a conventional motor. © 2023 IEEE.

关键词： dC 48V integrated starter generator mild hybrid permanent magnet motor

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Torque and Power Improvement of Integrated Starter Generator Motor with radially Thin rotor Core 26

Torque and Power Improvement of Integrated Starter Generator...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Miyama, Yoshihiro Ohashi, Naoki Totsuka, Fumitaka Ota, Naomichi Kumagai, Kengo Mitsubishi Electric Corporation Advanced Technology R&d Center Amagasaki Japan Mitsubishi Electric Corporation Himeji Works Himeji Japan Mitsubishi Electric Corporation Component Production Engineering Center Amagasaki Japan

ISBN: (纸本)9798350317589

A novel stress reduction technique using inter-pole slots is proposed for improving the torque and power of an integrated starter generator (ISG) motor with a radially thin rotor core. With a 10% coil-turn reduction and current increasement, the proposed ISG motor achieved a 5.7% torque enhancement and a 14.9% power increasement at the same size as a conventional ISG motor. © 2023 IEEE.

关键词： Torque

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MPC-Based Coordination Control of dual direct-drive Permanent Magnet Motors Used in Coal Mining Belt Conveyors 49

MPC-Based Coordination Control of Dual Direct-Drive Permanen...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Han, Yaofei Gong, Chao Chen, Shaofeng Ma, Zhixun Zhao, Xing Tongji University National Maglev Transportation Engineering R&d Center Shanghai China University of Alberta Department of Electrical and Computer Engineering Edmonton Canada School of Physics Engineering and Technology University of York York United Kingdom

ISBN: (纸本)9798350331820

In the application of coal mining belt conveyors, dual-motor drives based on permanent magnet motors (PMM) are gaining increasing attention now. To achieve high-performance coordination control of the two motors, this paper proposes a finite control set model predictive speed control (FCS-MPSC) method to improve the dynamics and speed tracking performance of the motors. First, the features of the dual-motor drives used in conveyor belts are analyzed. On this basis, the requirements of the control strategies are illustrated. Second, a master-slave control strategy is developed after treating the PMMs at the tail end and head end as the master motor and slave motor, respectively. Third, the FCS-MPSC method is developed for both master and slave motors by using new predicting model. In this process, the issue that the speed property is not directly related to the manipulated variables are tackled. Moreover, in order to further improve the dynamics of the slave motor, a speed reference compensation strategy is proposed. Finally, the proposed FCS-MPSC method is validated through comparative simulation results. © 2023 IEEE.

关键词： Model predictive control

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Prevalence and characterization of Staphylococcus aureus from different processing points in beef processing plants in Shandong, China

Food Safety and Health

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Food Safety and Health 2024年第2期2卷 265-275页

作者： Zhang, Tianning Liu, Yunge Yang, Xiaoyin Gong, Benzhi Liang, rongrong Mao, Yanwei Zhang, Yimin dong, Pengcheng Zhu, Lixian Lab of Beef Processing and Quality Control College of Food Science and Engineering Shandong Agricultural University Shandong Tai'an China National R&D Center for Beef Processing Technology Shandong Tai'an China Jining Academy of Agricultural Sciences Shandong Jining China

Staphylococcus aureus (S. aureus) is a common zoonotic foodborne pathogen that poses a serious threat to the microbial control of meat processing, especially the multidrug resistant (Mdr) strain. This study aimed to investigate the prevalence, antimicrobial susceptibility, virulence genes, biofilm formation ability (BFA), and molecular types of S. aureus isolated from two beef-processing plants in China. The results revealed that the prevalence of S. aureus was 17.1% (60/350), including one methicillin-resistant strain. The chilled carcass showed the highest detection rate among the seven sampling points. The isolates exhibited high resistance to penicillin (88.3%) and lincomycin (80.0%), and 75.0% of the isolates showed multidrug resistance (Mdr). All isolates carried hla and clfa and critical toxin genes (seb, pvl, and tst) were also detected. Additionally, 96.7% of isolates exhibited strong and moderate BFA. The isolates were typed by Multilocus Sequence Typing (MLST) and Staphylococcus Protein A (spa) typing methods, resulting in nine different types for each method. The predominant type was ST7-t091, accounting for 68.3% of the isolates. Our research suggests that there may be a critical control point in the chilling room, and the high Mdr rate and strong BFA increase the difficulty of control and the risk of transmission. © 2024 The Authors. Food Safety and Health published by John Wiley & Sons Australia, Ltd on behalf of International Association of dietetic Nutrition and Safety.

关键词： antimicrobial susceptibility beef biofilm formation ability molecular typing Staphylococcus aureus

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Convolutional neural network-based damage detection of the tethers of submerged floating tunnels using structural response data under various incident waves 11th

Convolutional neural network-based damage detection of the t...

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11th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2022

作者： Min, S. Jeong, K. Noh, Y. Kim, S. Won, d. School of Civil Environmental and Architectural Engineering Korea University Seoul Korea Republic of Maritime ICT R&D Center Korea Institute of Ocean Science and Technology Busan Korea Republic of

ISBN: (纸本)9781032345314

The structural stiffness of a submerged floating tunnel (SFT) moored by tethers is determined by the stiffness of the tethers. If the tethers are damaged, the stiffness of the entire system changes first, resulting in a change in the structural characteristics, including the natural frequencies. In addition, local deformation of the tunnel segments might occur owing to a decrease in local stiffness. A severe structural safety problem can occur if significant damage occurs at the tethers. Therefore, the structural states of the tethers should be carefully checked using a rational method to ensure the structural safety of the submerged transportation system. Owing to the characteristics of submerged structures, there is a limitation on the applicable sensors to check the damage to the submerged tethers. To solve the challenges in the damage estimation of the SFT tethers, this paper suggests an innovative approach based on a deep-learning algorithm. Based on the convolutional neural network (CNN) algorithm, which is one of the most widely used deep learning algorithms in many fields, a damage detection model is proposed. To train and validate the proposed CNN-based damage detection algorithm, we simulated the structural response data of the SFT models with intact and damaged tethers using hydrodynamic analysis under waves with various incident directions. In the simulation to obtain the structural response data for training and validation, the damage to the tethers is reflected by the decrease in their structural stiffness. The test results clearly indicated that the suggested strategy is very effective at detecting damage to the tethers, although a limited measured response is input to the learned model. © 2022 the Author(s).

关键词： damage detection

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Learning Based routing Link Scheduling in Heterogeneous Wireless loT Networks 59

Learning Based Routing Link Scheduling in Heterogeneous Wire...

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2024 Annual IEEE International Conference on Communications Workshops, ICC Workshops 2024

作者： Wang, Zhiyang Guo, Jianlin Parsons, Kieran Nagai, Yukimasa Sumi, Takenori Orlik, Philip CambridgeMA02139 United States University of Pennsylvania Department of Electrical and Systems Engineering PhiladelphiaPA19104 United States Information Technology R&d Center Mitsubishi Electric Corporation Kanagawa Kamakura2478501 Japan

ISBN: (纸本)9798350304053

With the advent of 5G and beyond communication technologies, the consumer Internet of Things (loT) devices are evolving from the current-generation to the next-generation. Next-generation loT devices can support multiple communication interfaces and perform more functions. Accordingly, loT network technologies must adapt to the emerging next-generation loT devices. routing is an inevitable technology in multi-hop loT networks. However, as loT devices become more and more diverse, loT networks become more complex. As a result, the routing problem becomes more and more complicated for traditional protocols and mathematical optimization approaches to provide optimal solutions. Machine learning based routing techniques have been recently proposed and can outperform traditional routing methods in complex network environments. To that end, this paper presents a machine learning based routing link scheduling scheme for heterogeneous wireless loT networks. We formulate the routing link scheduling problem as a combinatorial optimization problem, which is then parameterized for application of machine learning algorithm and the parameterized problem is solved using primal-dual approach with zero duality gap. A heterogeneous graph neural network (HetGNN) algorithm is proposed to update the primal-dual problems. We evaluate the proposed HetGNN model under networks with randomly deployed heterogeneous nodes. Compared with a convolutional neural network (CNN) model and a homogeneous GNN (HomGNN) model, the proposed HetGNN model can improve network throughput, reduce link capacity violation and interference link violation. © 2024 IEEE.

关键词： Combinatorial optimization

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Functional ceramic support as an independent catalyst layer for direct liquid fuel solid oxide fuel cells

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Journal of Advanced Ceramics 2023年第3期12卷 474-486页

作者： Jie Luo Kai Zhao Jishi Zhao Jun Li Yihui Liu dongchu Chen Qing Xu Min Chen School of Materials Science and Hydrogen Energy Foshan UniversityFoshan 528000China Guangdong Key Laboratory for Hydrogen Energy Technologies Foshan UniversityFoshan 528000China Foshan Institute of Environment and Energy Technology Foshan 528000China R&D Center of Hydrogen Energy Standardization Yunfu 527300China Hubei Key Laboratory of Advanced Technology for Automotive Components&Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of TechnologyWuhan 430070China School of Materials Science and Engineering Wuhan University of TechnologyWuhan 430070China

A porous ceramic support is designed as a multi-functional independent catalyst layer for solid oxide fuel cells(SOFCs)running on liquid hydrocarbon *** layer consists of a highly porous Ce_(0.9)Ca_(0.1)O_(2−δ)ceramic backbone and active NiMo catalysts,which could be integrated into the conventional Ni metal containing the anode for internal reforming of the hydrocarbon *** to conventional catalyst layers sintered on the anodes,this independent catalyst layer could be simply assembled on top of the anode without additional sintering,thereby avoiding the mismatch of the thermal expansion coefficient between the catalyst layer and the anode and improving stability of a single ***,a current collector layer could be inserted between the catalyst and the anode to enhance current collection efficiency and electrochemical performance of the single *** 750℃,the independent catalyst layer displays high activity towards the catalytic decomposition of methanol,and the single cell could achieve the maximum power density of 400–500 mW·cm^(−2)in dry ***,by employing the independent catalyst layer,the single cell offers additional in-situ catalyst regeneration capability under the methanol operation *** 10 mL·min−1 air into an anode channel for 5 min is found to be effective to burn out carbon species in the catalyst layer,which reduces the degradation rate of the cell voltage by orders of magnitude from 2.6 to 0.024 mV·h−1 during the operation of 360 h in dry *** results demonstrate the significance of the independent catalyst layer design for direct internal reforming methanol fuel cells.

关键词： independent catalyst layer NiMo-Ce_(0.9)Ca_(0.1)O_(2−δ)catalyst internal reforming methanol solid oxide fuel cell(SOFC)

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Solution of Power Equipment Condition Monitoring System Based on Things Oriented Architecture

Solution of Power Equipment Condition Monitoring System Base...

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2023 International Conference on Power System technology, PowerCon 2023

作者： Gong, Shimin Zhu, Jin Guodian Nanjing Automation Co. LtD Nanzi Power Grid R&d Center Nanjing China School of Information and Communication Engineering Nanjing Institute of Technology Nanjing China

ISBN: (纸本)9798350300222

From the perspective of power equipment operation and maintenance management, this paper summarizes the limitations of traditional Pd monitoring, maintenance and operation, breaks through the traditional implementation methods, applies the advanced technology of ubiquitous Internet of things, and comprehensively considers the design from the aspects of acquisition mode, transmission means, diagnosis method and active decision feedback, puts forward a new monitoring system solution, and introduces the components of the monitoring system Some key technologies and implementation principles are introduced, and the typical engineering application implementation scheme is given. The results show that the operation and maintenance efficiency and management level of electrical equipment can be greatly improved through the application of new technology, and lay a data foundation for the next step of artificial intelligence and big data application mining. © 2023 IEEE.

关键词： Condition monitoring

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Cyber Ares: Botnet Active defense Method in Collaboration with Sava 20

Cyber Ares: Botnet Active Defense Method in Collaboration wi...

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20th International Computer Conference on Wavelet Active Media technology and Information Processing, ICCWAMTIP 2023

作者： Shuisong, Hu Haoran, Luo Wenyong, Wang Yu, Miao Jun, deng Yubo, Li University of Electronic Science and Technology China Sichuan Cloud Network Integration Engineering Laboratory SICHUAN CHENGDU610000 China NSFOCUS R&D Center SICHUAN CHENGDU610000 China

ISBN: (纸本)9798350318982

distributed denial-of-service (ddoS) attacks has always been a major threat to cyber security. The current defense against ddoS attacks is mostly divided into three stages: pre-event, during-event and post-event. Because the collection of prior intelligence can often help defend against ddoS attacks, current commercial ddoS defense solutions will focus on active defense against ddoS. due to the high intensity of the new large-scale pulse-wave ddoS attack, ddoS active defense still cannot completely solve the problem. If the defense is completely close to the victim, pulse wave ddoS attacks may still affect actual services, making the intelligence collected by ddoS active defense unusable, and thus unable to effectively mitigate the intensity of ddoS attacks. We propose a method called Cyber Ares, which combines ddoS active defense with source address validation architecture (SAVA), and use the intelligence collected by active defense to move defense forward, achieving ideal ddoS mitigation effects. We use SAVA's capability blocking IP spoofing to reduce the intensity of the attack. We use the black and white lists provided by SAVA to block malicious IP traffic from botnets in advance. The final experiment shows that the method, the ddoS traffic of the attacked victim can be effectively mitigated. © 2023 IEEE.

关键词： denial-of-service attack

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