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Operation Parameters of Air-Cooled Fuel Cell Based on In-Situ Testing of Reaction State CHEN Minxue, QIU Diankai, PENG Linfa Journal of Shanghai Jiao Tong University    2024, 58 (3): 253-262.   DOI: 10.16183/j.cnki.jsjtu.2022.318 Abstract （275）   HTML （33）    PDF（pc） （25048KB）（263）       Knowledge map    Save The internal reaction state of air-cooled proton exchange membrane fuel cell (PEMFC) is the key factor affecting the output performance and stability of the cell. By developing an in-situ testing device for the reaction state of air-cooled fuel cell, the real-time measurement of cell temperature and current density is realized, and the influence mechanism of hydrogen outlet pulse interval, hydrogen inlet pressure and cathode wind speed on the performance of the cell is revealed. The results show that the distribution of temperature and current density in air-cooled cells is uneven. The temperature difference can reach 20 °C, and the current density difference reaches 400 mA/cm2 when the average current density is 500 mA/cm2. As the interval between pulses decreases and the inlet pressure increases, the performance of the hydrogen outlet area and the uniformity of the distribution increase, which can reduce the fluctuation of current density in the cells and improve output stability. If the cathode wind speed is too low, the temperature in central areas is high, and the temperature distribution uniformity is reduced. However, excessive wind speed causes the generating water to be blown away. The water content of the proton exchange membrane thus decreases, and the uniformity of the current density distribution deteriorates. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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SOH Online Estimation of Lithium-Ion Batteries Based on Fusion Health Factor and Integrated Extreme Learning Machine QU Keqing, DONG Hao, MAO Ling, ZHAO Jinbin, YANG Jianlin, LI Fen Journal of Shanghai Jiao Tong University    2024, 58 (3): 263-272.   DOI: 10.16183/j.cnki.jsjtu.2022.306 Abstract （88）   HTML （11）    PDF（pc） （3259KB）（67）       Knowledge map    Save Online estimation of the state of health (SOH) of lithium-ion batteries (LIB) is crucial for the security and stability operation of battery management systems. In order to overcome the problem such as long training time, large amount of computation, and complex debugging process of the LIB SOH estimation methods based on traditional data-driven, an LIB SOH estimation method based on fusion health factor (HF) and integrated extreme learning machine is proposed. The interval data with a high correlation with the SOH was found by analyzing the dQ/dV and dT/dV curves of the battery. Multi-dimensional HFs are extracted from the interval data, and the indirect HF are obtained by principal component analysis. The stochastic learning algorithm of extreme learning machine is used to establish the nonlinear mapping relationship between indirect HF and SOH. Considering the unstable output of a single model, an integrated extreme learning machine model is proposed. The unreliable output is eliminated by setting credibility evaluation rules for the estimation results, and the estimation accuracy of the model is improved. Finally, the method proposed in this paper is validated using the NASA LIB aging dataset and the LIB aging dataset of Oxford University. The results show that the average absolute percentage error of SOH estimation method proposed is less than 1%, and it has a high accuracy and reliability. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Interval Estimation of State of Health for Lithium Batteries Considering Different Charging Strategies ZHANG Xiaoyuan, ZHANG Jinhao, YANG Lixin Journal of Shanghai Jiao Tong University    2024, 58 (3): 273-284.   DOI: 10.16183/j.cnki.jsjtu.2022.347 Abstract （156）   HTML （5）    PDF（pc） （3204KB）（423）       Knowledge map    Save State of health (SOH) estimation of lithium-ion (Li-ion) batteries is of great importance for battery use, maintenance, management, and economic evaluation. However, the current SOH estimation methods for Li-ion batteries are mainly targeted at specific charging strategies by using deterministic estimation models, which cannot reflect uncertain information such as randomness and fuzziness in the battery degradation process. To this end, a method for estimating the SOH interval of Li-ion batteries applicable to different charging strategies is proposed, which extracts multiple feature parameters from the cyclic charging and discharging data of batteries with different charging strategies, and automatically selects the optimal combination of feature parameters for a specific charging strategy by using the cross-validation method. In addition, considering the limited number of cycles in the whole life cycle of Li-ion batteries as a small sample, support vector quantile regression (SVQR), which integrates the advantages of support vector regression and quantile regression, is proposed for the estimation of SOH interval of lithium-ion batteries. Li-ion battery charge/discharge cycle data with deep discharge degree is selected as the training set for offline training of the SVQR model, and the trained model is used for online estimation of the SOH of Li-ion batteries of different charging strategies. The proposed method is validated using three datasets with different charging strategies. The experimental results show that the proposed method is applicable to different charging strategies and the estimation results are better than those of quantile regression, quantile regression neural network and Gaussian process regression. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Review on Anti-Frost Technology Based on Microchannel Heat Exchanger YE Zhenhong(叶振鸿), WANG Wei(王炜), LI Xinhua(李新华), CHEN Jiangping(陈江平) J Shanghai Jiaotong Univ Sci    2024, 29 (2): 161-178.   DOI: 10.1007/s12204-022-2539-x Abstract （47）      PDF（pc） （4397KB）（42）       Knowledge map    Save Frosting is an inevitable adverse phenomenon in many fields such as industrial refrigeration, cryogenics, and heat pump air conditioning, which may influence the efficiency of the equipment and increase the energy consumption of the system. The complicated louvered-fin structure and fluid-channels arrangements of the microchannel heat exchanger (HEX) will affect the heat transfer performance and frosting characteristics. First, this article analyzes different factors such as refrigerant distribution, refrigerant flow pattern, and HEX surface temperature distribution. Further, combined with the features of the microchannel HEX, the existing anti-frosting technologies and various methods of surface treatment for anti-frosting are summarized. The review focuses on the preparation of superhydrophobic surfaces and their superior properties. Furthermore, the internal mechanism is analyzed in conjunction with the relevant research of our group. Superhydrophobic character has excellent anti-frosting performance and heat transfer performance, which is of great significance for improving energy-saving and system performance. Finally, the future development of superhydrophobic surface technology is analyzed and prospected. Reference | Related Articles | Metrics | Comments（0）

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Performance and Optimization of Air Source Heat Pump Water Heater with Cyclic Heating LI Fan(李凡), LU Gaofeng(陆高锋), DING Yunxiao(丁云霄), ZHENG Chunyuan(郑春元), LI Bin(李斌), ZHAI Xiaoqiang(翟晓强) J Shanghai Jiaotong Univ Sci    2024, 29 (2): 179-187.   DOI: 10.1007/s12204-022-2500-z Abstract （23）      PDF（pc） （1349KB）（23）       Knowledge map    Save A new type of microchannel condenser applied in the air source heat pump water heater (ASHPWH) with cyclic heating was proposed in this study. The operating performance of the ASHPWH was first tested. Then,the structure of the microchannel condenser was optimized with the implement of vortex generators. Finally, a numerical model of the ASHPWH was established and the optimized microchannel condenser was studied. The experimental results showed that the average coefficient of performance (COP) of the 1 HP (735 W) ASHPWH reached 3.48. In addition, the optimized microchannel condenser could be matched with a 3 HP (2 430 W) ASHPWH with an average heating capacity of 10.30 kW, and achieving an average COP of 4.24, 14.6% higher than the limit value in the national standard. Reference | Related Articles | Metrics | Comments（0）

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Working Fluid Distribution and Charge Regulation Control in Organic Rankine Cycle YE Zhenhong(叶振鸿), WANG Wei(王炜), LI Xinhua(李新华), CHEN Jiangping(陈江平) J Shanghai Jiaotong Univ Sci    2024, 29 (2): 188-201.   DOI: 10.1007/s12204-022-2538-y Abstract （29）      PDF（pc） （1116KB）（24）       Knowledge map    Save Charge-based studies, in particular investigations of mass distribution, are still almost absent, although the efficiency of the organic Rankine cycle (ORC) has attracted a great deal of scholarly attention. This paper aims to provide a new perspective on the intrinsic relationship among the mass distribution, phase-zone distribution in the heat exchanger (HEX), charge of working fluid (WF), rotation speed of the pump (RSP), and system performance. A comprehensive ORC simulation model is presented by linking each component’s sub-models, including the independent models for HEX, pump, and expander in an object-oriented fashion. The visualization study of mass distribution of the WF in the system is investigated under different working conditions. Furthermore, the volume and mass of the gas phase, two-phase and liquid phase of WF in the HEX and their variation rules are analyzed in-depth. Finally, the strategies of charge reduction considering HEX areas and pipe sizes are investigated. The results show that the model based on the interior-point method provides high levels of accuracy and robustness. The mass ratio of the WF is concentrated in the liquid receiver, especially in the regenerator, which is 32.9% and 21.9% of the total mass, respectively. Furthermore, 2.4 kg (6.9%) WF in the system gradually migrates to the hightemperature side as the RSP increases while 6.1 kg (17.4%) WF migrates to the low-temperature side, especially to the condenser, as the charge in the system increases. Output power and efficiency both decrease gradually after the peak due to changes in RSP and charge. Last, reducing heat transfer areas of the condenser and regenerator is the most effective way to reduce WF charge. Reference | Related Articles | Metrics | Comments（0）

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A Review of Numerical Studies of Wave Impacts on Marine Structures ZHANG Nianfan, XIAO Longfei, CHEN Gang Journal of Shanghai Jiao Tong University    2024, 58 (2): 127-140.   DOI: 10.16183/j.cnki.jsjtu.2022.500 Abstract （1081）   HTML （22）    PDF（pc） （4659KB）（124）       Knowledge map    Save Wave impact is a strongly nonlinear interaction between waves and structures, and its load usually has the characteristics of a large peak value and short duration. In recent years, the extreme environment has frequently led to severe wave impacts on marine structures, resulting in loss of life and property, thus making the issue of wave impact become a great concern. For the complicated impact process, the theoretical analysis and model experiments can only provide simplified analytical solution and limited information on the slamming flow field. Therefore, numerical simulation has gradually become an effective means to study the issue of wave impact. Scholars at home and abroad have conducted a large number of numerical investigations on the load characteristics of wave impact, impact process, and its influencing factors on marine structures, gaining numerous important research conclusions. In this paper, the current progress, existing methods, and important conclusions of the numerical study of wave impact on marine structures are reviewed, which can provide useful references for further research on the numerical simulation of wave impact. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Inverse Reconstruction of Environmental Loads and Virtual Model Test LI Xu, XIAO Longfei, WEI Handi, WU Wencheng, ZHU Ziyang, LI Yan Journal of Shanghai Jiao Tong University    2024, 58 (2): 141-146.   DOI: 10.16183/j.cnki.jsjtu.2022.398 Abstract （1030）   HTML （10）    PDF（pc） （3587KB）（73）       Knowledge map    Save Novel methods of inverse reconstruction of environmental loads and virtual model test for hybrid model test are proposed. The environmental loads are extracted from the physical truncated model test, considering the nonlinear effects such as coupling effect among the six-degrees-of-freedom (6 DOF) motions and wave slamming, and viscous force of the fluid. The loads can be further applied to the numerical model in virtual wave basin to conduct virtual model test with truncated and full-depth mooring system. Wave basin tests under combined wave, wind, and current condition are conducted to validate the proposed methods, and the results show that the environmental loads can be accurately reconstructed from the physical model tests. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Dynamic Response of a Vessel-Shaped Fish Cage Considering Coupling Effect Among Body Motion, Disturbed Velocity Field, and Net Loads WANG Yihou, FU Shixiao, XU Yuwang, LI Shuai, FU Qiang, LIU Fuxiang Journal of Shanghai Jiao Tong University    2024, 58 (2): 147-155.   DOI: 10.16183/j.cnki.jsjtu.2022.404 Abstract （954）   HTML （7）    PDF（pc） （10409KB）（38）       Knowledge map    Save Vessel-shaped fish cages are a new type of large aquaculture structure consisting of a floating body, steel frames, net system, and mooring system. The diffraction and radiation waves induced by the floating body can disturb the velocity field and induce additional changes to the hydrodynamic loads on the nets. In this paper, the velocity transfer functions around the nets induced by the diffraction and radiation waves are obtained and the effects of floating body on the forces of the nets are calculated by the Morison equation. By performing the iterations between the motion of floating body and loads on the nets, the fully coupled dynamic response of motion-disturbing velocity field-net loads is realized. Finally, the effects of diffraction and radiation waves on motion response, tension in the net twine, volume reduction, and connector loads are investigated. The results show that the influences of disturbing velocity field on cage motion response and volume reduction are not obvious, but they can lead to a significant increase in the tension in net twine and connector loads, which can provide helpful reference for the structural strength analysis and safety design of vessel-shaped fish cages. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Review of Power-Assisted Lower Limb Exoskeleton Robot HE Guisong (贺贵松), HUANG Xuegong (黄学功), LI Feng (李峰), WANG Huixing (汪辉兴) J Shanghai Jiaotong Univ Sci    2024, 29 (1): 1-15.   DOI: 10.1007/s12204-022-2489-3 Abstract （308）      PDF（pc） （1195KB）（115）       Knowledge map    Save Power-assisted lower limb exoskeleton robot is a wearable intelligent robot system involving mechanics,materials, electronics, control, robotics, and many other fields. The system can use external energy to provide additional power to humans, enhance the function of the human body, and help the wearer to bear weight that is previously unbearable. At the same time, employing reasonable structure design and passive energy storage can also assist in specific actions. First, this paper introduces the research status of power-assisted lower limb exoskeleton robots at home and abroad, and analyzes several typical prototypes in detail. Then, the key technologies such as structure design, driving mode, sensing technology, control method, energy management, and human-machine coupling are summarized, and some common design methods of the exoskeleton robot are summarized and compared. Finally, the existing problems and possible solutions in the research of power-assisted lower limb exoskeleton robots are summarized, and the prospect of future development trend has been analyzed. Reference | Related Articles | Metrics | Comments（0）

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Review of Key Technologies for Developing Personalized Lower Limb Rehabilitative Exoskeleton Robots TAO Jing, (陶璟), ZHOU Zhenhuan (周振欢) J Shanghai Jiaotong Univ Sci    2024, 29 (1): 16-28.   DOI: 10.1007/s12204-022-2452-3 Abstract （102）      PDF（pc） （1179KB）（79）       Knowledge map    Save Rehabilitative training and assistance to daily living activities play critical roles in improving the life quality of lower limb dyskinesia patients and older people with motor function degeneration. Lower limb rehabilitative exoskeleton has a promising application prospect in support of the above population. In this paper, critical technologies for developing lower limb rehabilitative exoskeleton for individualized user needs are identi- fied and reviewed, including exoskeleton hardware modularization, bionic compliant driving, individualized gait planning and individual-oriented motion intention recognition. Inspired by the idea of servitization, potentials in exoskeleton product-service system design and its enabling technologies are then discussed. It is suggested that future research will focus on exoskeleton technology and exoskeleton-based service development oriented to an individual’s physical features and personalized requirements to realize better human-exoskeleton coordination in terms of technology, as well as accessible and high-quality rehabilitation and living assistance in terms of utility. Reference | Related Articles | Metrics | Comments（0）

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Time-Resolved Imaging in Short-Wave Infrared Region XU Yang (徐杨), LI Wanwan∗ (李万万) J Shanghai Jiaotong Univ Sci    2024, 29 (1): 29-36.   DOI: 10.1007/s12204-022-2547-x Abstract （72）      PDF（pc） （810KB）（39）       Knowledge map    Save Compared with the conventional first near-infrared (NIR-I, 700—900 nm) window, the short-wave infrared region (SWIR, 900—1 700 nm) possesses the merits of the increasing tissue penetration depths and the suppression of scattering background, leading to great potential for in vivo imaging. Based on the limitations of the common spectral domain, and the superiority of the time-dimension, time-resolved imaging eliminates the auto-fluorescence in the biological tissue, thus supporting higher signal-to-noise ratio and sensitivities. The imaging technique is not affected by the difference in tissue composition or thickness and has the practical value of quantitative in vivo detection. Almost all the relevant time-resolved imaging was carried out around lanthanide-doped upconversion nanomaterials, owing to the advantages of ultralong luminescence lifetime, excellent photostability, controllable morphology, easy surface modification and various strategies of regulating lifetime. Therefore, this review presents the research progress of SWIR time-resolved imaging technology based on nanomaterials doped with lanthanide ions as luminescence centers in recent years. Reference | Related Articles | Metrics | Comments（0）

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Low-Carbon Operation Strategy of Integrated Energy System Based on User Classification ZHANG Chunyan, DOU Zhenlan, BAI Bingqing, WANG Lingling, JIANG Chuanwen, XIONG Zhan Journal of Shanghai Jiao Tong University    2024, 58 (1): 1-10.   DOI: 10.16183/j.cnki.jsjtu.2022.321 Abstract （2209）   HTML （30）    PDF（pc） （1783KB）（297）       Knowledge map    Save Integrated energy system (IES) is an important means to achieve the goal of “carbon peaking and carbon neutrality”. However, different types of users in the system have different energy consumption behaviors, which makes the coordinated optimization and low-carbon operation of the integrated energy system more difficult. In order to give full play to the subjective initiative of users, the user behavior of the integrated energy system is modelled based on user behavior analysis, and users are classified into aggressive and conservative types by convolutional neural network (CNN). Then, the decision model of integrated energy system operator is constructed to determine the supply mode of electric heating energy, and the corresponding energy package is designed for different types of users. Finally, the effectiveness of the above models and methods is analyzed based on actual data, and the value of user classification in low-carbon operation of integrated energy systems is verified. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Green Energy Trading in Distribution Network Considering Credit Value WU Qing, JIA Qiangang, YAN Zheng, ZHONG Zhun, GUO Song, LI Zhiyong Journal of Shanghai Jiao Tong University    2024, 58 (1): 11-18.   DOI: 10.16183/j.cnki.jsjtu.2022.130 Abstract （1094）   HTML （16）    PDF（pc） （1504KB）（175）       Knowledge map    Save Developing distributed renewable energy is vital to energy system transformation, while organizing market trading will promote the production and consumption of distributed renewable energy. However, the uncertainty of renewable energy output causes deviations during market delivery, which threats the security of distribution system operation. It is still difficult for existing market-based trading mechanisms to motivate market players to reduce the deviations. Therefore, this paper gives guidance to the honest delivery behaviors of distributed green energy producers by quantifying credit costs. Considering the strategic bidding behaviors of distributed green energy producers, it establishes a market model taking the credit costs into account. Then, it proposed an iterative algorithm based on the optimal response theory to calculate the Nash equilibria of the green energy market. The results of the case study show that the market mechanism proposed can give guidance to the integrity behavior of green energy producers in an incentive-compatible way, reducing the delivery deviation while improving social welfare. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Comprehensive Evaluation of Key Technologies in Power Internet of Things Based on Comprehensive Similarity of Cloud Model CHEN Lianfu, ZHONG Haiwang, TAN Zhenfei, RUAN Guangchun Journal of Shanghai Jiao Tong University    2024, 58 (1): 19-29.   DOI: 10.16183/j.cnki.jsjtu.2022.420 Abstract （1870）   HTML （13）    PDF（pc） （1954KB）（86）       Knowledge map    Save Currently, the comprehensive evaluation of the application of key technologies in the power Internet of Things (PIoT) has the characteristics of a single evaluation object, and the traditional evaluation methods are not applicable. In order to comprehensively evaluate the technology maturity and operational effectiveness of PIoT projects, a comprehensive evaluation index for key technologies in PIoT is established to comprehensively consider the different development stages. According to the characteristics of application scenario, an evaluation model based on the comprehensive similarity of cloud model is proposed. By reforming the technique for order preference by similarity to an ideal solution (TOPSIS) method, a decision matrix for a single evaluation object is constructed, and the shape-distance comprehensive similarity of the cloud model is used as a measure to characterize the relative closeness of the TOPSIS method, and the accurate evaluation of a single object is realized. Finally, the proposed method is applied to assess a PIoT demonstration project. The results show that the proposed comprehensive evaluation index and evaluation method can objectively and comprehensively evaluate the comprehensive application effect of each key technology in the construction and operation stages of PIoT. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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Critical care medicine and safety management of high-risk surgical patients CHEN Erzhen Journal of Surgery Concepts & Practice    2023, 28 (05): 399-401.   DOI: 10.16139/j.1007-9610.2023.05.01 Abstract （54）   HTML （5）    PDF（pc） （755KB）（32）       Knowledge map    Save At present, although the mortality of most patients undergoing major surgery is very low, the increase of so-called high-risk surgery patients with high risk of postoperative complications and death brings new challenges to perioperative safety management. The efficient collaboration of multidisciplinary professional teams based on patient-centered and value-based medicine is a new measure to ensure perioperative safety. Among them, the critical care medical professional team plays a key role in risk assessment, perioperative organ protection, close monitoring and specific early intervention for high-risk patients, so as to achieve timely prevention, early identification and effective treatment of postoperative complications, and to reduce the risk of death and improve the postoperative quality of life. Reference | Related Articles | Metrics | Comments（0）

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Bibliometric Analysis of Journal of Tissue Engineering and Reconstructive Surgery from 2019 to 2022 PAN Xian, XU Qi Journal of Tissue Engineering and Reconstructive Surgery    2023, 19 (6): 570-.   Abstract （57）      PDF（pc） （840KB）（266）       Knowledge map    Save Objective　To analyze the change of the main bibliometrics indexes of Journal of Tissue Engineering and Reconstructive Surgery in recent 4 years, and to compare with other journals of cosmetic and plastic surgery. Methods　Based on the statistical data from the Chinese S&T Journal Citation Reports (Core Version), the main bibliometric indicators of Tissue Engineering and Reconstructive Surgery, including total cites, impact factor, fund paper ratio, other-citing rate and other citing indexes, were statistically and longitudinal analyzed, and horizontal comparisons were made with 5 cosmetic and plastic surgery journals with similar publication backgrounds. Results　In the past four years, the total cites and published article numbers in Tissue Engineering and Reconstructive Surgery increased steadily, while the impact factor, fund paper ratio, and comprehensive evaluation scores showed a downward trend, and the other-citing rate remained at about 0.9. Compared with other journals of cosmetic and plastic surgery, the total cites, impact factor and published article numbers of our journal ranked at the bottom, but the other-citing rate, fund paper ratio, and comprehensive evaluation scores ranked at the top. Conclusion　The short-term goal and direction of the journal is to organize high-quality papers and enhance the scope of the journal. Related Articles | Metrics | Comments（0）

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Wind Power Scenario Generation Method and Application Based on Spatiotemporal Covariance Function PENG Xinghao, LI Yanting Journal of Shanghai Jiao Tong University    2023, 57 (12): 1531-1542.   DOI: 10.16183/j.cnki.jsjtu.2022.180 Abstract （295）   HTML （276）    PDF（pc） （8178KB）（194）       Knowledge map    Save Wind power generation is different from traditional power generation in which wind power output is highly stochastic and spatio-temporally dependent. In the optimal scheduling problem of wind power grid-connected power system, ensuring the optimal execution of power scheduling in different wind power scenarios is the key of the decision-making problem. Therefore, high quality wind power scenario generation is of great importance. The spatiotemporal correlation of the output power of wind power plants are characterized based on Gaussian stochastic process and spatiotemporal covariance function, and the joint probability distribution is established by the Pair Copula model, and specific scenarios are implemented by the method of empirical probability inverse transformation. A variety of scene metrics of the generated scene are generated, which verifies the superiority of the generated scene. Finally, based on the modified IEEE 6-bus system, a mixed integer programming model for the unit output of the power system is established to solve the problems in different scenarios and verify the economic advantages of the scenario generation method in the dispatching problem of wind power grid connection. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Business Models for Large-Scale Energy Storage Systems to Participate in Electricity Spot Market LI Qian, JIANG Xin, ZHANG Junzhao, DUAN Shijie, JIN Yang Journal of Shanghai Jiao Tong University    2023, 57 (12): 1543-1558.   DOI: 10.16183/j.cnki.jsjtu.2022.187 Abstract （265）   HTML （267）    PDF（pc） （9620KB）（198）       Knowledge map    Save In this paper, large-scale energy storage system(ESS) is taken as the research object to conduct study of business models on the participation of ESS in electricity spot market with liberalization. First, based on the typical market clearing mechanism at home and abroad, the clearing method, clearing calculation process and so on in day-ahead market and real-time balance market are analyzed, and a joint clearing mechanism suitable for large-scale ESS to participate in the spot market is proposed, including bidding method, billing method and clearing method, etc. Then, in order to fully explore the market value and other added value of large-scale ESS, to enhance cluster effect and to solve the problem of idle ESS capacity, business models suitable for large-scale ESS to participate in the spot market are proposed, including independent (single investment entity, single service model), alliance (diversified investment entities, single service model), and shared (diversified investment entities, diversified service models) models. The game relationship in the market transaction chain is analyzed, of which the electric energy value, the ancillary service value, and other added value are quantified. On this basis, a bilevel clearing model paradigm for ESS to participate in the spot joint market of different business models is constructed based on the master-slave game. In the upper-level model, large-scale ESS is the leader to participate in market competition with the goal of maximizing profits, while the dispatching and trading center in the lower-level model are followers to jointly clear the market with the goal of maximizing social welfare. Finally, the validity and feasibility of the proposed business models are verified by taking typical transaction scenarios as examples based on the improved IEEE30 node system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Coordinated Scheduling of Multiple Buildings with Electric-Hydrogen Complementary Considering Frequency Stability Constraints FAN Hong, WANG Lankun, XING Mengqing, TIAN Shuxin, YU Weinan Journal of Shanghai Jiao Tong University    2023, 57 (12): 1559-1570.   DOI: 10.16183/j.cnki.jsjtu.2022.380 Abstract （160）   HTML （13）    PDF（pc） （2948KB）（81）       Knowledge map    Save In order to achieve the dual carbon goal of “carbon peak and carbon neutrality”, it is of great significance to promote the electric and hydrogen complementary integrated energy system. However, with the gradual increase of the penetration rate of renewable energy, the inertia level of the system decreases, and the frequency security is threatened. Aimed at the problem that the traditional optimization scheduling method cannot guarantee the frequency stability of the system, a coordinated optimization scheduling method of electric-hydrogen complementary multiple buildings considering the frequency stability constraint is proposed. First, the architecture of the electric-hydrogen integrated energy system with the building as the ground floor unit is established, and the renewable energy generator sets in the system are controlled by the virtual synchronous generator technology to improve the inertia level of the system. Then, aimed at minimizing the total operating cost of the system in the scheduling period, and considering the inertia requirements of the system in different operation modes of grid-connected and islanding, an optimal scheduling model considering the system frequency stability constraint is established. Finally, an example is given to verify the effectiveness, economy, and environmental protection of the proposed method for frequency stability of the system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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fficacy analysis and patient satisfaction study of postoperative elect beam radiotherapy for refractory keloid ZHAO Min, LI Li, ZHAO Ruidong, et al Journal of Tissue Engineering and Reconstructive Surgery    2023, 19 (6): 544-.   Abstract （60）      PDF（pc） （1162KB）（57）       Knowledge map    Save Objective　To explore the therapeutic effect of postoperative electron beam radiotherapy for intractable keloid and the influencing factors of recurrence, and to evaluate patients’ satisfaction with the therapeutic effect. Methods　From 2019 to 2021, 37 patients with refractory keloids, including 40 keloids, were treated with electron beam irradiation after operation. The radiotherapy was conducted with 6-9 MeV electron beam irradiation from the skin, and the irradiation dose was 20 Gy/5 Gy/4 F. The general clinical data of patients were collected and followed up regularly after operation. After the observation, questionnaires were distributed to all patients to evaluate their satisfaction. The treatment effect and adverse reactions of patients were analyzed, and the factors affecting recurrence were analyzed by Logistic regression. Results　Among the 40 scars, 4 cases (10%) recurred after treatment, and 5 cases (12.5%) had no obvious change after treatment, and the effective rate was 77.5%. The main adverse reactions were skin pigmentation and incision expansion. Univariate analysis showed that sex, past history, time interval from operation to radiotherapy, continuous irradiation and plasma fibrinogen content were related to recurrence. Multivariate analysis showed that the interval between operation and radiotherapy for more than 24 hours was an independent risk factor for recurrence, and continuous irradiation was an independent protective factor. Recurrence, incision expansion and pigmentation were the main reasons for patients’ dissatisfaction. Conclusion　Surgery combined with electron beam radiotherapy is an effective method for the treatment of refractory keloid. The time from operation to radiotherapy and continuous irradiation are independent prognostic factors affecting the recurrence of keloid, and the subjective evaluation of patients is not completely consistent with their clinical manifestations and examinations. Related Articles | Metrics | Comments（0）

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Application of Machine Learning in Chemical Synthesis and Characterization SUN Jie, LI Zihao, ZHANG Shuyu Journal of Shanghai Jiao Tong University    2023, 57 (10): 1231-1244.   DOI: 10.16183/j.cnki.jsjtu.2023.078 Abstract （435）   HTML （48）    PDF（pc） （4421KB）（379）       Knowledge map    Save Automated chemical synthesis is one of the long-term goals pursued in the field of chemistry. In recent years, the advent of machine learning (ML) has made it possible to achieve this goal. Data-driven ML uses computers to learn relative information in massive chemical data, find objective connections between information, train models by using objective connections, and analyze the actual problems which can be solved according to these models. With its excellent computational prediction capabilities, ML helps chemists solve chemical synthesis problems quickly and efficiently and accelerate the research process. The emergence and development of ML has shown a strong research assistance in the field of chemical synthesis and characterization. However, there is no highly versatile ML model at present, and chemists still need to choose different models for training and learning according to actual situations. This paper aims to show chemists the best cases of common learning methods in chemical synthesis and characterization from the perspective of ML, such as supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, etc., and help them use ML knowledge to further broaden their research ideas. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A Microgrid Energy Management Strategy Considering Carbon Quota Guided Demand Response JIANG Enyu, CHEN Yu, SHI Zhengjing, WU Zhecheng, LIN Shunfu, LI Dongdong Journal of Shanghai Jiao Tong University    2023, 57 (9): 1126-1136.   DOI: 10.16183/j.cnki.jsjtu.2022.378 Abstract （753）   HTML （15）    PDF（pc） （2823KB）（126）       Knowledge map    Save In order to reduce the forecast output error caused by the randomness and volatility of renewable energy in microgrid operation, a microgrid energy management strategy considering carbon quota guided demand response is proposed. A two-layer model predictive control (MPC) energy management model is constructed. The upper layer guides electric vehicles to participate in the demand response of microgrid by constructing a carbon emission quota mechanism to realize the economic operation of microgrid and reduce carbon emissions. The lower layer uses the model predictive control rolling optimization and the power fluctuation caused by the prediction error of renewable energy is suppressed by the short time scale model predictive control. The results of calculation analysis show that the proposed energy management strategy can effectively guide electric vehicles or other controllable loads to participate in demand response and realize low-carbon economic dispatch and stable operation of microgrid. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Entity Relationship Explanation via Conceptualization XIE Chenhao(谢晨昊), LIANG Jiaqing(梁家卿), XIA Yanghua(肖仰华), HWANG Seung-won J Shanghai Jiaotong Univ Sci    2023, 28 (6): 695-702.   DOI: 10.1007/s12204-021-2394-1 Abstract （146）      PDF（pc） （608KB）（103）       Knowledge map    Save Finding an attribute to explain the relationships between a given pair of entities is valuable in many applications. However, many direct solutions fail, owing to its low precision caused by heavy dependence on text and low recall by evidence scarcity. Thus, we propose a generalization-and-inference framework and implement it to build a system: entity-relationship finder (ERF). Our main idea is conceptualizing entity pairs into proper concept pairs, as intermediate random variables to form the explanation. Although entity conceptualization has been studied, it has new challenges of collective optimization for multiple relationship instances, joint optimization for both entities, and aggregation of diluted observations into the head concepts defining the relationship. We propose conceptualization solutions and validate them as well as the framework with extensive experiments. Reference | Related Articles | Metrics | Comments（0）

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Boosting Unsupervised Domain Adaptation with Soft Pseudo-Label and Curriculum Learning ZHANG Shengjia(张晟嘉), LIN Tiancheng(林天成), XU Yi(徐奕) J Shanghai Jiaotong Univ Sci    2023, 28 (6): 703-716.   DOI: 10.1007/s12204-022-2487-5 Abstract （100）      PDF（pc） （963KB）（69）       Knowledge map    Save By leveraging data from a fully labeled source domain, unsupervised domain adaptation (UDA) improves classification performance on an unlabeled target domain through explicit discrepancy minimization of data distribution or adversarial learning. As an enhancement, category alignment is involved during adaptation to reinforce target feature discrimination by utilizing model prediction. However, there remain unexplored problems about pseudo-label inaccuracy incurred by wrong category predictions on target domain, and distribution deviation caused by overfitting on source domain. In this paper, we propose a model-agnostic two-stage learning framework, which greatly reduces flawed model predictions using soft pseudo-label strategy and avoids overfitting on source domain with a curriculum learning strategy. Theoretically, it successfully decreases the combined risk in the upper bound of expected error on the target domain. In the first stage, we train a model with distribution alignment-based UDA method to obtain soft semantic label on target domain with rather high confidence. To avoid overfitting on source domain, in the second stage, we propose a curriculum learning strategy to adaptively control the weighting between losses from the two domains so that the focus of the training stage is gradually shifted from source distribution to target distribution with prediction confidence boosted on the target domain. Extensive experiments on two well-known benchmark datasets validate the universal effectiveness of our proposed framework on promoting the performance of the top-ranked UDA algorithms and demonstrate its consistent superior performance. Reference | Related Articles | Metrics | Comments（0）

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Multiple Detection Model Fusion Framework for Printed Circuit Board Defect Detection WU Xingl(武星), ZHANG Qingfeng(张庆丰), WANG Jianjia(王健嘉), YAO Junfeng(姚骏峰), Guo Yike.(郭毅可) J Shanghai Jiaotong Univ Sci    2023, 28 (6): 717-727.   DOI: 10.1007/s12204-022-2471-0 Abstract （61）      PDF（pc） （1870KB）（44）       Knowledge map    Save The printed circuit board (PCB) is an indispensable component of electronic products, which determines the quality of these products. With the development and advancement of manufacturing technology, the layout and structure of PCB are getting complicated. However, there are few effective and accurate PCB defect detection methods. There are high requirements for the accuracy of PCB defect detection in the actual production environment, so we propose two PCB defect detection frameworks with multiple model fusion including the defect detection by multi-model voting method (DDMV) and the defect detection by multi-model learning method (DDML). With the purpose of reducing wrong and missing detection, the DDMV and DDML integrate multiple defect detection networks with different fusion strategies. The effectiveness and accuracy of the proposed framework are verified with extensive experiments on two open-source PCB datasets. The experimental results demonstrate that the proposed DDMV and DDML are better than any other individual state-of-the-art PCB defect detection model in F1-score, and the area under curve value of DDML is also higher than that of any other individual detection model. Furthermore, compared with DDMV, the DDML with an automatic machine learning method achieves the best performance in PCB defect detection, and the F1-score on the two datasets can reach 99.7% and 95.6% respectively. Reference | Related Articles | Metrics | Comments（0）

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Interpretation on the report of global stroke data 2022 TANG Chunhua, GUO Lu, LI Qiong, ZHANG Lili Journal of Diagnostics Concepts & Practice    2023, 22 (03): 238-246.   DOI: 10.16150/j.1671-2870.2023.03.06 Abstract （2457）   HTML （128）    PDF（pc） （2270KB）（1845）       Knowledge map    Save In 2022, the World Stroke Organization released two new reports regarding global stroke statistics in the International Journal of Stroke. The reports updated the global incidence and mortality of stroke, evaluated the effects of gender and geographic factors, and provided updated statistics on attributable risk factors associated with stroke. This article briefly interprets the two reports in the context of stroke prevalence and disease burden in China. 2019 Global Burden of Disease Study findings show that stroke remains the second-leading cause of death and the third-leading cause of death and disability combined in the world. From 1990 to 2019, the burden (in terms of the absolute number of cases) increased substantially, with the bulk of the global stroke burden residing in lower-income and lower-middle-income countries. Moreover, people under 70-year-old were observed to have significant increases in stroke prevalence and incidence. The five major risks for stroke globally include high systolic blood pressure, high body mass index, high fasting glucose, environmental particulate matter pollution, and smoking. Stroke prevention and treatment in China are facing great challenges. Stroke has become the leading cause of death and disability among Chinese adults, as well as the leading cause of disability adjusted life year lost. The incidence, prevalence and mortality of stroke in China are geographically high in the north, low in the south and prominent in the central part of the country; the prevalence is higher in rural areas than that in urban areas; the morbidity and mortality rates are higher in men than those in women; the average age of onset is lower than in developed countries; the overall disease burden of ischemic stroke is on the rise, but that of hemorrhagic stroke is on the decline. The awareness of stroke prevention and treatment was low. In conclusion, it is of strategic importance to actively establish a graded stroke prevention and control system that meets the national conditions. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research progress of the effect of radiotherapy on breast reconstruction with prosthesis and autologous tissue after breast cancer surgery REN Yanxin, YU Yan, XU Kexin, et al Journal of Tissue Engineering and Reconstructive Surgery    2023, 19 (5): 511-.   Abstract （82）      PDF（pc） （903KB）（163）       Knowledge map    Save 　Breast integrity and beauty affect women’s physical and mental health. Immediate breast reconstruction after breast cancer mastectomy can significantly increase women’s self-confidence and improve women’s quality of life. As a conventional treatment for breast cancer, radiotherapy can reduce the local recurrence rate and disease-free survival rate of breast cancer. However, radiotherapy can increase the complication rate and failure rate of breast reconstruction immediately after breast cancer surgery. The two most commonly performed breast reconstruction procedures are breast reconstruction with autologous tissue and breast reconstruction with prosthesis. In this paper, the effects of radiotherapy on autologous tissue breast reconstruction and prosthesis breast reconstruction were reviewed. Related Articles | Metrics | Comments（0）

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The role of ERCP in the diagnosis and treatment of chronic pancreatitis ZHANG Ling, ZOU Duowu Journal of Surgery Concepts & Practice    2023, 28 (04): 283-287.   DOI: 10.16139/j.1007-9610.2023.04.002 Abstract （168）   HTML （2）    PDF（pc） （876KB）（88）       Knowledge map    Save Chronic pancreatitis (CP) is a chronic progressive disease that causes varying degrees of functional damage on pancreatic endocrine and exocrine, seriously affecting the quality of life of the patients. Endoscopic retrograde cholangio-pancreatography (ERCP) with minimal trauma, high safety, and good efficacy has become a first-line treatment method for CP. ERCP is a first-line treatment method for pancreatic duct stones and pancreatic duct stricture, and complications of CP. Reference | Related Articles | Metrics | Comments（0）

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Application experience of enteroscopy ERCP in benign biliary stricture after cholecystojejunostomy WENG Mingzhe, WANG Xuefeng Journal of Surgery Concepts & Practice    2023, 28 (04): 296-299.   DOI: 10.16139/j.1007-9610.2023.04.004 Abstract （113）   HTML （3）    PDF（pc） （3765KB）（74）       Knowledge map    Save Benign biliary stricture is a common complication of cholecystojejunostomy and is hard to handle. Ente-roscopy ERCP possesses the advantages such as repeatability, minimally invasive, and compliance with normal physiological structures in treatment. We shared our experiences of enteroscopy ERCP in benign biliary stricture after cholecystojejunostomy, hoping to improve the success rate of this treatment. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Calibration Technology of Optical Fiber Strain Sensor CHEN Gang(陈刚), LIU Hongyue(刘宏月), GAO Ruiriang(高瑞翔) J Shanghai Jiaotong Univ Sci    2023, 28 (5): 551-559.   DOI: 10.1007/s12204-022-2406-9 Abstract （159）      PDF（pc） （1122KB）（87）       Knowledge map    Save As one of the hotspots of sensing technology at present, optical fiber sensor has the characteristics of small size, anti-electromagnetic interference, and easy networking, which plays an irreplaceable role in multiphysics parameter monitoring of complex electromagnetic environments. The precise calibration of the optical fiber strain sensor has great practical value in prolonging the survival rate of the sensor, improving the measurement accuracy, and meeting the needs of long-term monitoring. By reviewing the research status of strain sensor calibration method and fiber optic strain sensor calibration method, the advantages and disadvantages of the main methods are analyzed separately from the static and dynamic perspectives, and the development prospect of the calibration technology of optic fiber strain sensor is summarized. Reference | Related Articles | Metrics | Comments（0）

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High Curvature Stripe Profile Extraction Algorithm of Line Structured Light Measuring System SUN Hao (孙昊), DU Xuan (杜宣), LÜ Na(吕娜), CUI Bin(崔斌), ZHA Hui(赵辉) J Shanghai Jiaotong Univ Sci    2023, 28 (5): 560-568.   DOI: 10.1007/s12204-022-2476-8 Abstract （93）      PDF（pc） （1375KB）（74）       Knowledge map    Save In the line structured light measuring system, the accuracy of the process of laser stripe directly affects the measurement results. Therefore, the extraction algorithm for the laser stripe, especially the surface with high reflection and high curvature, is very important. The imaging principle of line structured light, the light intensity distribution law of laser stripe and the extraction algorithm have been studied, and a stripe profile extraction method based on real light intensity distribution has been proposed. In this algorithm, fast region of interest extraction, stripe width estimation, and adaptive filtering on the striped image are performed. Then the energy center of the stripe at the sub-pixel level is extracted. Finally, the low-quality center points are eliminated, and the context information is used to recover the missing central points. Simulated images generated based on the imaging principle of line structured light and real experimental images were used to evaluate the accuracy and repeatability of the proposed method. The results show that the method behaves excellently at the edges of high-curvature stripes; the maximum error is only 1.6 pixels, which is 1/10 of the classic Steger algorithm; the experiment repeatability is only 8.8 μm, which is 2.7 times that of the Steger method. Therefore, the proposed method improves the accuracy of object contour extraction, and it is especially suitable for contour detection of objects with high curvature. Reference | Related Articles | Metrics | Comments（0）

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Measuring Transverse Relaxation Time of Xenon Atoms Based on Single Beam of Laser in Nuclear Magnetic Resonance Gyroscope ZHONG Guochen1(钟国宸),LIU Hual*(刘华), GUo Yang1(郭阳)，LI Shaoliang2(李绍良)，ZHAO Wanliang2(赵万良)，CHENG Yuxiang2(成宇翔) J Shanghai Jiaotong Univ Sci    2023, 28 (5): 569-576.   DOI: 10.1007/s12204-022-2436-3 Abstract （62）      PDF（pc） （1758KB）（32）       Knowledge map    Save Nuclear magnetic resonance gyroscope (NMRG) has the characteristics of high precision and miniaturization, and is one of the main applications of quantum technology in the field of navigation. The transverse relaxation time (T2) of the xenon nuclear spin in the atomic cell of the NMRG directly affects the angular random walk of the gyro. Accurate and rapid measurement of T2 is conducive to further improvement of gyroscope. At present, for the measurement of T2, the schemes of two orthogonal lasers for pumping and detecting are usually used. By applying two fast-switching orthogonal static magnetic fields and a single beam of circularly polarized laser with corresponding wavelength to pump the atomic cell, the xenon nuclear macroscopic magnetic moment Larmor precession is generated. The cesium atoms parametric magnetometer in cell is formed to detect the free induction decay signal generated by nuclear spin precession of xenon atoms. The measurement of T2 by a single laser simplifies the measurement equipment compared with traditional method with two lasers. The experimental results show that the T2 of xenon atoms is more than 10 s, and the effects of temperature are studied, which lay the foundation for the subsequent improvement of gyro performance. Reference | Related Articles | Metrics | Comments（0）

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Laparoscopic colorectal surgery 30 years in China: what we learned ZHENG Minhua, MA Junjun Journal of Surgery Concepts & Practice    2023, 28 (03): 181-185.   DOI: 10.16139/j.1007-9610.2023.03.001 Abstract （415）   HTML （9）    PDF（pc） （882KB）（167）       Knowledge map    Save Since 1993, the first laparoscopic radical surgery for colon cancer was carried out in China, laparoscopic colorectal surgery in China has embarked on a new journey, and has now entered its 30th year. Looking back on the 30 years history of laparoscopic colorectal surgery, it is hoped that through the window of laparoscopic colorectal surgery, from the establishment of a series of key technologies in its initial stage, to the development of training systems, and even the further development of innovative technologies and technology platforms, to review the trajectory in the development of laparoscopic surgery in China, and to think from multiple dimensions, so as to gain experience, guide current practice, and look forward to the future development. Reference | Related Articles | Metrics | Comments（0）

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Function-preserving laparoscopic resection of pancreatic head and duodenal papilla tumors GAO Pan, CAI Yunqiang, PENG Bing Journal of Surgery Concepts & Practice    2023, 28 (03): 190-196.   DOI: 10.16139/j.1007-9610.2023.03.003 Abstract （182）   HTML （7）    PDF（pc） （7136KB）（133）       Knowledge map    Save In recent years, with the development of minimally invasive instruments,equipment and the progress of surgical techniques, minimally invasive pancreatic surgery has entered an era of rapid development. Function-preserving laparoscopic resection of pancreatic head and duodenal papilla tumors including laparoscopic duodenum-preserving pancreatic head resection (LDPPHR), laparoscopic pancreatic head tumor enucleation and laparoscopic transduodenal ampullary resection(LTDAR) have also been used in clinical practice. However, the anatomy and surgical procedures are extremely complicated. Many surgeons lack the experience in this field. So far, these procedures have rarely used in clinical practice. In this article, we introduced the current status, problems and countermeasures of these surgical procedures, to promote the development of function-preserving laparoscopic pancreatic head and duodenal papilla tumor resection surgery. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Numerical Study on Separation of Circulating Tumor Cell Using Dielectrophoresis in a Four-Electrode Microfluidic Device WANG Yukuna (王雨坤), DING Xiantingb (丁显廷), ZHANG Zhinana (张执南) J Shanghai Jiaotong Univ Sci    2023, 28 (4): 391-.   DOI: 10.1007/s12204-022-2459-9 Abstract （224）      PDF（pc） （1462KB）（238）       Knowledge map    Save This numerical study proposes a cell sorting technique based on dielectrophoresis (DEP) in a microfluidic chip. Under the joint effect of DEP and fluid drag, white blood cells and circulating tumor cells are separated because of different dielectric properties. First, the mathematical models of device geometry, single cell, DEP force, electric field, and flow field are established to simulate the cell motion. Based on the simulation model, important boundary parameters are discussed to optimize the cell sorting ability of the device. A proper matching relationship between voltage and flow rate is then provided. The inlet and outlet conditions are also investigated to control the particle motion in the flow field. The significance of this study is to verify the cell separating ability of the microfluidic chip, and to provide a logistic design for the separation of rare diseased cells. Reference | Related Articles | Metrics | Comments（0）

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Establishment of a Refined Brain Model for Evaluating Implantation Behavior of Neural Electrode and Research of its Simulated Behavior HE Yuxcin (贺雨欣), ZHANG Wenguang (张文光), XU Haotian (胥浩天), XU Yifan (徐倚帆), XU Liyue (许李悦) J Shanghai Jiaotong Univ Sci    2023, 28 (4): 401-.   DOI: 10.1007/s12204-022-2523-5 Abstract （164）      PDF（pc） （1512KB）（102）       Knowledge map    Save The long-term reliability of the neural electrode is closely related to its implantation behavior. In orderto realize the quantitative research of the implantation behavior in a low-cost and accurate way, a refined brainmodel containing meninges is proposed. First, the expected simulation material was selected through measuringthe elastic modulus based on the method of atomic force microscope indentation technique. As a result, the 2%(mass fraction) agarose gel simulated the gray and white matter, the 7 : 1 (volume ratio) polydimethylsiloxane(PDMS) sheet simulated the pia mater, and the polyvinyl chloride (PVC) film simulated the dura mater. Second,based on designing a three-layer structure mold, the brain model was prepared by inverted pouring to realizea flat implantation surface. Finally, the simulation behavior of the brain model was investigated with the ratbrain as a reference. For mechanical behavior of implantation, the implantation force experienced two peaks bothin the brain model and the rat brain, maximum values of which were 10.17 mN and 7.69 mN respectively. Thelarger implantation force in the brain model will increase the strength requirement for the electrode, but reducethe risk of buckling of that in practical application. For humoral dissolution behavior, the dissolution rates ofthe polyethylene glycol (PEG) coating of the electrode in the brain model and rat brain were 7 000 μm3/s and5 600 μm3/s, respectively. The faster dissolution rate in the brain model will cause the larger thickness of thecoating design but provide sufficient implantable time in practical application. The establishment of the brainmodel and the research of its simulated behavior are beneficial to the size design of the electrode substrate andcoating, and research of the implantation mechanism, and further increase the functional life of the electrode. Reference | Related Articles | Metrics | Comments（0）

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Real-Time Calculation Method for Temperature Distribution of Temperature-Controlled Radiofrequency Ablation WANG Xuewei (王雪维)，WANG Yifei (王逸飞)，ZHANG Aili* (张爱丽) J Shanghai Jiaotong Univ Sci    2023, 28 (4): 411-.   DOI: 10.1007/s12204-022-2481-y Abstract （145）      PDF（pc） （1220KB）（75）       Knowledge map    Save Precise temperature control and temperature distribution prediction are of great significance forradiofrequency ablation. This research proposes a real-time calculation method for the temperature distribution of radiofrequency ablation combined with proportional-integral temperature control. The thermo-electricalcoupling was simplified into a linear relationship based on the study of the influence of temperature-dependentelectrical conductivity and thermal conductivity on the PI-controlled radiofrequency ablation temperature distribution, which increases the computational efficiency by 150 times. The average calculation time for radiofrequencyablation of 10 min is about 23 s, and the difference between the calculation results of this method and that fromCOMSOL Multiphysics is no more than 1 ?C. This method is not only used for single-probe, but also for doubleprobe radiofrequency ablation in this paper. Reference | Related Articles | Metrics | Comments（0）

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Interpretation of the Global Tuberculosis Report 2022 by World Health Organization LIANG Chen, YU Jiajia, TANG Shenjie Journal of Diagnostics Concepts & Practice    2023, 22 (01): 21-30.   DOI: 10.16150/j.1671-2870.2023.01.004 Abstract （966）   HTML （43）    PDF（pc） （1105KB）（2819）       Knowledge map    Save Global Tuberculosis Report 2022 (hereafter referred to as “report”), newly published by the World Health Organization (WHO), states that the coronavirus (COVID-19) pandemic has increased the tuberculosis (TB) disease burden and severely affected global TB prevention and control. In 2021, WHO approved a total of six molecular diagnostic technologies for TB diagnosis and anti-TB drug resistance detection, and three new TB antigen-based skin tests for TB screening were recommended. To reduce the burden on patients and the health system, WHO recommends a 4-month regimen for drug-susceptible TB and four shorter regimens for the treatment of multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB). In addition, there were 26 drugs for TB treatment in clinical trials, and at least 22 clinical trials evaluating drugs and drug regimens for TB treatment were underway. In 2021， the TB epidemic remains severe in China, with the number of newly diagnosed cases ranking third among the 30 countries. In 2021, a total of 639 548 TB cases and 1 763 deaths were reported nationwide, with an incidence of 45.37/100 000 and a mortality of 0.13/100 000. China has the fourth largest number of MDR/RR-TB patients in the world. However, it is necessary to verify whether the regimens for MDR/RR-TB treatment recommended by WHO are suitable for patients in China. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Effect of pressure therapy on hypertrophic scar based on body surface pressure sensor monitoring XU Jia, HAN Dong, SU Weijie, et al Journal of Tissue Engineering and Reconstructive Surgery    2023, 19 (3): 229-.   Abstract （113）      PDF（pc） （2025KB）（238）       Knowledge map    Save Objective　To investigate the effects of strontium-β-tricalcium phosphate (SR-β-TCP) on the biological activ ity and osteogenic differentiation of rabbit adipose derived stem cells (ADSCs). Methods　rADSCs were isolated and cultured from subcutaneous fat of interscapular region of New Zealand white rabbits, and the third generation rADSCs were selected for osteogenic induction. β-TCP materials and Sr-β-TCP materials were prepared, and the β-TCP materials and Sr-β-TCP materi als were co-cultured with osteogenic induced rADSCs, respectively, and divided into 1% Sr-β-TCP group, 3% Sr-β-TCP group, 5% Sr-β-TCP group, β-TCP group and control group (osteogenic induction medium). The proliferation of rADSCs was detected by MTT colorimetric assay, and the activity of Alkaline phosphatase (ALP) and calcium ion content were detected. The osteogen ic related proteins of rADSCs were detected by Western blot (WB). Results　Compared with the control group and 3% Sr-β- TCP group, the optical density (OD) value of β-TCP group, 1% and 5% Sr-β-TCP group decreased on the 1st, 3rd, 6th and 8th day (P<0.05). The OD value of 5% Sr-β-TCP group was lower than that of β-TCP group and 1% Sr-β-TCP group on the 3rd, 6th and 8th day (P<0.05). OD values of all groups were increased with the extension of time (P<0.05). Compared with the control group and β-TCP group, the calcium ion content, ALP activity, Notch3, pFAK, pERK1/2 and RhoA expression of 1% and 3%  Sr-β- TCP groups were increased, while the calcium ion content, ALP activity, Notch3, pFAK, pERK1/2 and RhoA expression of 5% Sr-β-TCP group were decreased (P<0.05). The calcium ion content, ALP activity, Notch3, pFAK, pERK1/2 and RhoA expression of 3% Sr-β-TCP group were higher than those of 1% and 5% Sr-β-TCP group (P<0.05). Conclusion　3% Sr-β-TCP can improve the biological activity and osteogenic differentiation of rADSCs, which may be related to Notch3/FAK/ERK1/2 signaling pathway. Related Articles | Metrics | Comments（0）

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