Highlights

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Integrated Hydraulic-Driven Wearable Robot for Knee Assistance ZHAO Yafei (赵亚飞), HUANG Chaoyi (黄超逸), ZOU Yuging(邹玉莹), ZOUKehan(邹可涵), zoU Xiaogang(邹笑阳), XUE .Jiaqi(薛嘉琦), LI Xiaoting(李晓婷), KOH Keng Huat, WANG Xiaojun(王小军), LAI Wai Chiu King(赖伟超), HU Yong(胡勇), XI Ning(席宁), WANG Zheng(王峥) J Shanghai Jiaotong Univ Sci    2023, 28 (3): 289-295.   DOI: 10.1007/s12204-023-2602-2 Abstract （95）      PDF （1156KB）（49）       Knowledge map    Age-related diseases can lead to knee joint misfunction, making knee assistance necessary through the use of robotic wearable braces. However, existing wearable robots face challenges in force transmission and human motion adaptation, particularly among the elderly. Although soft actuators have been used in wearable robots, achieving rapid response and motion control while maintaining portability remains challenging. To address these issues, we propose a soft-robotic knee brace system integrated with multiple sensors and a direct-drive hydraulic actuation system. This approach allows for controlled and rapid force output on the portable hydraulic system. The multi-sensor feedback structure enables the robotic system to collaborate with the human body through human physiological signal and body motion information. The human user tests demonstrate that the knee robot provides assistive torques to the knee joint by being triggered by the electromyography signal and under human motion control. Reference | Related Articles | Metrics

Select

Novel Concentric Tube Robot Based on Double-Threaded Helical Gear Tube CHEN Weichi(陈韦池), LIU Haocheng(刘浩城), LI Zijian(李子建), GUO Jing, (郭靖), ZHAI Zhenkun(翟振坤), MENG Wei(孟伟) J Shanghai Jiaotong Univ Sci    2023, 28 (3): 296-306.   DOI: 10.1007/s12204-023-2595-x Abstract （76）      PDF （2087KB）（10）       Knowledge map    Nasopharyngeal carcinoma is a malignant tumor originating from the nasal mucosa. It is a malignant tumor of the head and neck. Concentric tube robot (CTR), as it can form a complicated shape and access hardto-reach lesions, is often used in minimally invasive surgeries. However, some CTRs are bulky because of their transmission design. In this paper, a light CTR based on double-threaded helical gear tube is proposed. Such a CTR is less cumbersome than the traditional CTR as its actuation unit is compact and miniaturized. The mapping relationship between the gear tube attitude and motor output angle is obtained by kinematic analysis. The precision, stability, and repeatability of the driving mechanism are tested. The experimental results show that the positioning error in the translation test is less than 0.3 mm, the rolling angle error in the stability test is less than 0.6?, and the error in the translation repeatability test is less than 0.005 mm. Finally, a tip-targeting test is performed using the new CTR, which verifies the feasibility of the CTR for surgeries. Reference | Related Articles | Metrics

Select

Enhancement of Pinching Grasping Robustness Using a Multi-Structure Soft Gripper LI Linlin (李林霖), GAO Feiyang (高飞扬), ZHENG Xiongfei(郑雄飞), ZHANG Liming(张黎明), LI Shijie (李世杰), WANG Heran(王赫然) J Shanghai Jiaotong Univ Sci    2023, 28 (3): 307-311.   DOI: 10.1007/s12204-022-2508-4 Abstract （54）      PDF （2071KB）（9）       Knowledge map    Recently, soft grippers have garnered considerable interest in various fields, such as medical rehabilitation, due to their high compliance. However, the traditional PneuNet only reliably grasps medium and large objects via enveloping grasping (EG), and cannot realize pinching grasping (PG) to stably grasp small and thin objects as EG requires a large bending angle whereas PG requires a much smaller one. Therefore, we proposed a multi-structure soft gripper (MSSG) with only one vent per finger which combines the PneuNet in the proximal segment with the normal soft pneumatic actuator (NSPA) in the distal segment, allowing PG to be realized without a loss in EG and enhancing the robustness of PG due to the height difference between the distal and proximal segments. Grasping was characterized on the basis of the stability (finger bending angle describes) and robustness (pull-out force describes), and the bending angle and pull-out force of MSSG were analyzed using the finite element method. Furthermore, the grasping performance was validated using experiments, and the results demonstrated that the MSSG with one vent per finger was able to realize PG without a loss in EG and effectively enhance the PG robustness. Reference | Related Articles | Metrics

Select

Progress and prospect of surgical comprehensive treatment of gastric cancer ZHU Zhenggang Journal of Surgery Concepts & Practice    2023, 28 (01): 1-6.   DOI: 10.16139/j.1007-9610.2023.01.01 Abstract （72）   HTML （11）    PDF （877KB）（25）       Knowledge map    Gastric cancer is one of the leading malignancies in China and in the world. Surgery is still the most important modality to cure gastric cancer. A series of clinical researches changed the traditional concept of surgery and avoided blindly expanding the scope of surgery. Laparoscopic surgery for both early and locally advanced gastric cancer achieved the same radical effect as open surgery. The key to further improve the efficacy of minimally invasive surgery is controlling indications, establishing a training system for surgical techniques and optimizing the relation between costs and benefits. The relationship between resection of organs and preservation of organ function should be balanced in the extended surgery for gastric cancer. Perioperative treatment of locally advanced gastric cancer would be advocated actively. Conversion therapy preoperatively for far-advanced gastric cancer is advocated. Palliative resection should be strictly controlled for the patients of far-advanced gastric cancer with extensive metastasis, and comprehensive treatment should be carried to prolong the life of patients. Reference | Related Articles | Metrics

Select

Physical Characterization of Ionic Liquid-Modified Polyvinyl Alcohol and Sodium Thiocyanate Polymer Electrolytes for Electrochemical Double-Layer Capacitor Application AZEMTSOP Manfo Theodore , MEHRA Ram Mohan , KUMAR Yogesh , GUPTA Meenal J Shanghai Jiaotong Univ Sci    2023, 28 (2): 161-171.   DOI: 10.1007/s12204-021-2397-y Abstract （239）      PDF （1140KB）（94）       Knowledge map    Novel gel polymer electrolytes (GPEs) composed of polyvinyl alcohol (PVA) and sodium thiocyanate were developed via a solution casting technique. An ionic liquid (IL), 1-ethyl-3-methyl-imidazolium tricyanomethanide ([EMIM][TCM]), was doped into a polymer–salt complex system (PVA + NaSCN) to further enhance the conductivity. IL-doped polymer electrolyte (ILDPE) films were characterized using X-ray diffraction (XRD), polarized optical microscopy (POM), Fourier-transform infrared (FTIR) spectroscopy, and conductivity measurements. XRD was performed to check the degree of crystallinity and amorphicity of the ILDPE films, and the amorphicity of GPEs increased with the increase of the IL content. POM was employed to evaluate the changes in the surface morphology due to the inclusion of salt and IL in the PVA. The compositional nature of the GPE films was examined via FTIR studies. The electrical and electrochemical properties were characterized by cyclic voltammetry and electrochemical impedance spectroscopy. The maximum conductivity for the GPE film was estimated to be 1.10 × 10-5 S/cm for 6% (mass fraction) of IL in the polymer–salt complex. The ionic transference number was approximately 0.97. An electrochemical double-layer capacitor (EDLC) was built from optimized GPE films and reduced graphene oxide-based electrodes. The specific capacitance calculated from the cyclic voltammograms of the EDLC cells was 3 F/g. Reference | Related Articles | Metrics

Select

Synthesis and Characterization of Copper Doped Zinc Oxide Thin Films Deposited by RF/DC Sputtering Technique KHAN Mohibul, ALAM Md. Shabaz, AHMED Sk. Faruque∗ J Shanghai Jiaotong Univ Sci    2023, 28 (2): 172-179.   DOI: 10.1007/s12204-022-2462-1 Abstract （124）      PDF （698KB）（39）       Knowledge map    Undoped and copper (Cu) doped zinc oxide (Zn1-xCuxO, where x = 0—0.065) nano crystal thin films have been deposited on glass substrate via RF/DC reactive co-sputtering technique. The aim of this work is to investigate the crystal structure of ZnO and Cu doped ZnO thin films and also study the effect of Cu doping on optical band gap of ZnO thin films. The identification and confirmation of the crystallinity, film thickness and surface morphology of the nano range thin films are confirmed by using X-ray diffractometer (XRD), scanning electron microscope and atomic force microscope. The XRD peak at a diffractive angle of 34.44° and Miller indices at (002) confirms the ZnO thin films. Crystallite size of undoped ZnO thin films is 27 nm and decreases from 27 nm to 22 nm with increasing the atomic fraction of Cu (xCu) in the ZnO thin films from 0 to 6.5% respectively, which is calculated from XRD (002) peaks. The different bonding information of all deposited films was investigated by Fourier transform infrared spectrometer in the range of wave number between 400 cm-1 to 4 000 cm-1. Optical band gap energy of all deposited thin films was analyzed by ultraviolet visible spectrophotometer, which varies from 3.35 eV to 3.19 eV with the increase of xCu from 0 to 6.5% respectively. Urbach energy of the deposited thin films increases from 115 meV to 228 meV with the increase of xCu from 0 to 6.5% respectively. Reference | Related Articles | Metrics

Select

Band Structure Characteristics of Two-Dimensional Si-A (Ge, Pb, Sn) Alloy-Air Holes Thermal Crystals AZKA Umar ∗, JIANG Chun (姜 淳), KHUSHIK Muhammad Hanif Ahmed Khan J Shanghai Jiaotong Univ Sci    2023, 28 (2): 180-185.   DOI: 10.1007/s12204-022-2485-7 Abstract （114）      PDF （539KB）（26）       Knowledge map    This paper designs the thermal crystals composed of alloy materials with air holes and analyzes their properties of band structures, heat transmission, and flux spectra. Thermal crystals composed of Si-A (A=Ge, Sn, Pb) alloys as background materials and air holes with square array are used to construct an elastic-constant periodic structure and their high-frequency phononic band is calculated by deploying finite element methods. Moreover, this paper investigates heat transmission through a finite array of thermally excited phonons and presents the thermal crystal with maximum heat transport. The results show that a wider bandgap could be achieved by increasing the air hole radius and decreasing the lattice constant. In the alloy materials, with increasing atomic radius and thus atomic mass (Ge, Sn, Pb), the frequency range (contributed to thermal conductivity) shifts towards lower frequency. Hence, the bandgap frequencies also shift toward low frequency, but this decreasing rate is not constant or in order, so former may have a faster or slower decreasing rate than the later. Thus, the frequency range for the contribution of heat transportation overlaps with the bandgap frequency range. The development of thermal crystals is promising for managing heat and controlling the propagation of the thermal wave. Reference | Related Articles | Metrics

Select

Efficacy analysis of‘core stripping’keloid thinning surgery combined with radiotherapy WU Xiaoli, BAN Yaolin, CHEN Libin, et al Journal of Tissue Engineering and Reconstructive Surgery    2023, 19 (1): 22-.   Abstract （65）      PDF （9318KB）（14）       Knowledge map    Objective　To explore the effect of "core stripping" keloid thinning surgery combined with radiotherapy in the treatment of keloid. Methods　From January 2020 to December 2020, 43 patients with slope keloid and 326 keloid lesions were selected by retrospective study and self-control. The "core stripping" keloid thinning surgery was used to separate and remove the core tissue of keloid while retaining the scar skin with a thickness of about 1 mm. The reticular dermis was retained, and the scar skin was sutured and fixed by the "modified mattress suture method". After surgery, 6 Mev electron radiotherapy was performed twice. The first radiotherapy was completed within 24 hours after operation, and the second radiotherapy was performed 7 days later. The single dose of radiotherapy was 9 Gy. Follow-up was performed at 6 months, 12 months and 18 months after the end of treatment. The patient and observer scar scale (POSAS) was used to analyze the treatment outcomes, and  the treatment response rate and patients' satisfaction at 18 months after treatment were statistically analyzed. Results　The total score of POSAS, total score of patients, and total score of observers were significantly lower after treatment than before treatment. Some patients had different degrees of hyperpigmentation, hypopigmentation, local hair loss, transient dermatitis and neuritis, which improved spontaneously. The total recurrence rate at 18 months after treatment was 30.23%. Among 43 keloid patients, 17 patients (39.53%) were very satisfied with the treatment outcome, 22 patients (51.62%) were satisfied, and 4 patients (9.3%) were not satisfied. The overall satisfaction rate was 90.7%. Conclusion　The "core stripping" keloid thinning surgery is a rapid and effective keloid volume reduction surgery, which has a good therapeutic effect when combined with postoperative radiotherapy. Related Articles | Metrics

Select

Effect of non-ablative fractional laser combined with asiaticoside ointmenton hypertrophic scar of rabbit ear CHEN Xi, HAN Xiaofeng, XIAO Sha, et al Journal of Tissue Engineering and Reconstructive Surgery    2023, 19 (1): 28-.   Abstract （37）      PDF （27469KB）（23）       Knowledge map    Objective　To explore the effect and mechanism of non-ablative fractional laser combined with asiaticoside ointment on hypertrophic scar (HS) in rabbit ear. Methods　Rabbit ear HS model was established and divided into control group (no modeling), model group (no intervention), combination group (1 565 nm non-ablative fractional laser combined with snow side treatment), fractional group (1 565 nm non-ablative fractional laser treatment) and asiaticoside group (asiaticoside treatment) according to different intervention methods. Gross observation, HE staining and MASSON staining were conducted to assess HS improvement, fibroblast apoptosis was detected by TUNEL method. The expressions of type Ⅰ and type Ⅲ collagen, TGF-β1, Smads, IL-6 were detected by real-time PCR and Western blot. Results　After the intervention of the modeling group, gross observation, HE staining and MASSON staining showed that scar hyperplasia was reduced in the combination group. TUNEL showed that apoptotic cells were significantly increased in the combination group. Real-time and Western blot results showed the mRNA and protein levels of type Ⅰ collagen and type Ⅲ collagen, TGF-β1, IL-6 and Smad 2 in combination group increased, while the expression of Smad 7 decreased. Conclusion　1 565 nm non-ablative fractional laser combined with asiaticoside has significant effect in the treatment of HS, and is significantly better than that of laser or asiaticoside alone. Its mechanism is related to the increased expression of TGF- β1, IL-6 and Smad 2, and the decreased expression of Smad 7. Related Articles | Metrics

Select

Travel Intention of Electric Vehicle Sharing based on Theory of Multiple Motivations BAO Lewen (鲍乐雯), MIAO Rui, ∗ (苗 瑞), CHEN Zhihua (陈志华), ZHANG Bo (张 博), GUO Peng (郭 鹏), MA Yuze (马宇泽) J Shanghai Jiaotong Univ Sci    2023, 28 (1): 1-9.   DOI: 10.1007/s12204-023-2563-5 Abstract （270）      PDF （467KB）（107）       Knowledge map    Determining the travel intention of residents with shared electric vehicles (EVs) is significant for promoting the development of low-carbon transportation, considering that common problems such as high idle rate and lack of attractiveness still exist. To this end, a structural equation model (SEM) based on the theory of multiple motivations is proposed in this paper. First, the influencing motivations for EV sharing are divided into three categories: consumer-driven, program-driven, and enterprise-driven motivations. Then, the intentions of residents in Shanghai to travel with shared EVs are obtained through a survey questionnaire. Finally, an SEM is constructed to analyze quantitatively the impact of different motivations on the travel intention. The results show that consumer-driven motivations with impact weights from 0.14 to 0.63 have the overwhelming impact on travel intention, compared to program-driven motivations with impact weights from ?0.14 to 0.15 and enterprise-driven motivations with impact weights from 0.02 to 0.06. In terms of consumer-driven motivations, the weight of green travel awareness is the highest. The implications of these results on the policy to enable large-scale implementation of shared EVs are discussed from the perspectives of the resident, enterprise, and government. Reference | Related Articles | Metrics

Select

Intelligent Driving Assistance System for Safe Expressway Driving in Rainy and Foggy Weather based on IoT YAN Beirui (燕北瑞), FANG Cheng (方 成), QIU Hao (邱 昊), ZHU Wenfeng∗ (朱文峰) J Shanghai Jiaotong Univ Sci    2023, 28 (1): 10-19.   DOI: 10.1007/s12204-023-2564-4 Abstract （167）      PDF （2162KB）（32）       Knowledge map    The feature bends and tunnels of mountainous expressways are often affected by bad weather, specifically rain and fog, which significantly threaten expressway safety and traffic efficiency. In order to solve this problem, a vehicle–road coordination system based on the Internet of Things (IoT) is developed that can share vehicle–road information in real time, expand the environmental perception range of vehicles, and realize vehicle–road collaboration. It helps improve traffic safety and efficiency. Further, a vehicle–road cooperative driving assistance system model is introduced in this study, and it is based on IoT for improving the driving safety of mountainous expressways. Considering the influence of rain and fog on driving safety, the interaction between rainfall, water film, and adhesion coefficient is analyzed. An intelligent vehicle–road coordination assistance system is constructed that takes in information on weather, road parameters, and vehicle status, and takes the stopping sight distance model as well as rollover and sideslip model as boundary constraints. Tests conducted on a real expressway demonstrated that the assistance system model is helpful in bad weather conditions. This system could promote intelligent development of mountainous expressways. Reference | Related Articles | Metrics

Select

Action-aware Encoder-Decoder Network for Pedestrian Trajectory Prediction FU Jiawei∗ (傅家威), ZHAO Xu (赵 旭) J Shanghai Jiaotong Univ Sci    2023, 28 (1): 20-27.   DOI: 10.1007/s12204-023-2565-3 Abstract （154）      PDF （775KB）（46）       Knowledge map    Accurate pedestrian trajectory predictions are critical in self-driving systems, as they are fundamental to the response- and decision-making of ego vehicles. In this study, we focus on the problem of predicting the future trajectory of pedestrians from a first-person perspective. Most existing trajectory prediction methods from the first-person view copy the bird’s-eye view, neglecting the differences between the two. To this end, we clarify the differences between the two views and highlight the importance of action-aware trajectory prediction in the first-person view. We propose a new action-aware network based on an encoder-decoder framework with an action prediction and a goal estimation branch at the end of the encoder. In the decoder part, bidirectional long short-term memory (Bi-LSTM) blocks are adopted to generate the ultimate prediction of pedestrians’ future trajectories. Our method was evaluated on a public dataset and achieved a competitive performance, compared with other approaches. An ablation study demonstrates the effectiveness of the action prediction branch. Reference | Related Articles | Metrics

Select

Journal of Surgery Concepts & Practice    2022, 27 (06): 483-489.   DOI: 10.16139/j.1007-9610.2022.06.01 Abstract （71）   HTML （32）    PDF （792KB）（40）       Knowledge map    Table and Figures | Reference | Related Articles | Metrics

Select

Research progress of mediating factors affecting the formation of foreign body giant cell LIU Yu, WANG Rui, LI Shijie, et al Journal of Tissue Engineering and Reconstructive Surgery    2022, 18 (6): 527-.   Abstract （113）      PDF （453KB）（23）       Knowledge map    Foreign body giant cell (Foreign body giant cell, FBGC) is a prominent cell type formed after the implantation of biomedical materials. It is formed by the fusion of macrophages. It is a hallmark histological feature in chronic inflammation caused by persistent microbial infection or non-phagocytosis of foreign bodies. FBGC is related to the degradation and failure of implanted biomaterials, and is the key cell of foreign body reaction. Controlling the formation of FBGC is considered the key to preventing implantation failure. Therefore, FBGC has always been a research hotspot. Although the molecular mechanism that promotes the adhesion and development of macrophages and supports the formation of FBGC has not yet been elucidated, many mediating factors affecting its formation have also been discovered. In this paper, the relevant domestic and foreign literatures from the three aspects of FBGC formation process, structure and function, and influencing factors were summarized to further understand the mechanism of foreign body giant cell formation and provide enlightenment for finding other possible mediating factors. Related Articles | Metrics

Select

Differentiated Allocation Model of Renewable Energy Green Certificates for New-Type Power System ZHANG Shuo, LI Wei, LI Yingzi, LIU Qiang, ZENG Ming Journal of Shanghai Jiao Tong University    2022, 56 (12): 1561-1571.   DOI: 10.16183/j.cnki.jsjtu.2022.150 Accepted: 24 October 2022 Abstract （634）   HTML （757）    PDF （1436KB）（333）       Knowledge map    In order to achieve China’s “30·60” decarbonization goal, the green and low-carbon transformation of the energy system is the fundamental support; the construction of new-type power system is the key step, and the green certificate is the important voucher to reflect the green value of renewable energy. Currently, the distribution mechanism of green certificates in China is oversimplified, which neither effectively measures the variability of green values generated by different types of renewable energy, nor balances the coordinated development of renewable energy. Therefore, to differentiate the exchange mechanism of green certificates by different types of renewable energy power in this paper, an evaluation index system is established, which describes the difference between green certificates, considering the comprehensive value of renewable energy, and an evaluation model is built with the criteria importance by using the intercriteria correlation (CRITIC) method, the entropy weight method, and the technique for order preference by similarity to an ideal solution (TOPSIS) method. Under the development scenario of peaking carbon emissions before 2030, the impact of the differentiated distribution model on the green incomes of centralized photovoltaic distributed photovoltaic power, onshore wind power, and offshore wind power is analyzed. Moreover, the development plan of renewable energy is modified in consideration of the effect of the differentiated distribution model, and policy suggestions on green certificates are proposed accordingly. The results show that the differentiated distribution model of green certificates is practical to provide corresponding decision-making support to the construction and improvement of green certificates trading mechanism in China. Table and Figures | Reference | Related Articles | Metrics

Select

A Sensing Method Based of Floating Photovoltaic Grids to Sudden Changes in Marine Weather JIANG Haoyu, WANG Peilun, GE Quanbo, XU Jinqiang, LUO Peng, YAO Gang Journal of Shanghai Jiao Tong University    2022, 56 (12): 1584-1597.   DOI: 10.16183/j.cnki.jsjtu.2021.526 Abstract （363）   HTML （176）    PDF （8866KB）（178）       Knowledge map    Currently, the application of floating photovoltaics in the ocean is mainly restricted by the cost of submarine cables and special buoys. It will show a high degree of applicability if the energy is consumed by the unmanned management systems on ocean farms and in other scenarios. The grid system formed by the floating photovoltaics can satisfy the early warning requirements of the sudden weather changes on ocean farms. Due to the strong follow-up of the photovoltaic output model to random weather changes, based on the spatial-temporal correlation analysis of large-area photovoltaics, hardware, distance, time delay, and weather, a similar power station fusion estimation relationship is established. Based on the long short-term memory (LSTM) algorithm, the ultra-short-term prediction value of the time sequence tracking of similar power stations can be used to estimate the early warning of the status of target similar power stations. The city-scale data was used to verify the feasibility of the proposed idea, which shows that the framework can complement traditional research deficiencies. Table and Figures | Reference | Related Articles | Metrics

Select

Linear Parameter-Varying Integrated Control Law Design for a Hypersonic Vehicle YANG Shu, QIAN Yunxiao, YANG Ting Journal of Shanghai Jiao Tong University    2022, 56 (11): 1427-1437.   DOI: 10.16183/j.cnki.jsjtu.2022.190 Accepted: 05 September 2022 Abstract （549）   HTML （341）    PDF （2903KB）（276）       Knowledge map    A linear parameter-varying (LPV) integrated control law is designed for a hypersonic vehicle to achieve trajectory control based on an altitude-horizontal trajectory control concept. The LPV output-feedback control theory and pole placement techniques are employed to design parameters of the control law within a Mach number envelope. Such a control law performs integrated control for longitudinal and lateral-directional dynamics of the vehicle, free from the scheme of inner and outer control loops of classical flight controls and ensuring robust and optimal control performance in the sense of L2-induced norm. A mathematical model of the hypersonic vehicle is developed in the Earth-centered-Earth-fixed reference frame. Earth rotation, Earth oblateness, and the second order harmonic perturbations of Earth are considered in the model. Numerical simulations are conducted to examine the performance of the LPV controller. The simulation results indicate that the closed-loop system of the hypersonic vehicle achieves D-stability. The LPV control law achieves a good performance in vehicle trajectory control and has sufficient robustness with respect to perturbations and sensor noise. Table and Figures | Reference | Related Articles | Metrics

Select

Cooperative Navigation of UAV Formation Based on Relative Velocity and Position Assistance GUO Pengjun, ZHANG Rui, GAO Guangen, XU Bin Journal of Shanghai Jiao Tong University    2022, 56 (11): 1438-1446.   DOI: 10.16183/j.cnki.jsjtu.2022.232 Accepted: 05 September 2022 Abstract （450）   HTML （24）    PDF （1260KB）（216）       Knowledge map    Because the navigation errors of inertial navigation system accumulate with time, the unmanned aerial vehicle (UAV) formation that only relies on inertial navigation system for positioning cannot obtain precision navigation information in long time flight. To solve this problem, this paper proposes a cooperative navigation scheme for master-slave UAV formation. First, the UAV is equipped with relative navigation sensors to measure the relative velocity and position information between the members of the master-slave UAV formation. Then, considering the relative pose of formation members, the spatial unified transformation scheme is studied. The absolute navigation information measured by each member of UAV formation by inertial navigation system and the relative navigation information measured by relative sensors is unified into the same navigation coordinate system. Finally, a cooperative navigation scheme based on relative velocity and relative position assistance is given. The 30 min simulation results show that the speed and position errors of each cluster converge to 0.1 m/s and 5 m respectively under this scheme, which is more suitable than the inertial navigation system. Table and Figures | Reference | Related Articles | Metrics

Select

In-Flight Alignment Method of Integrated SINS/GPS Navigation System Based on Combined PF-UKF Filter GAO Honglian, YOU Jie, CAO Songyin Journal of Shanghai Jiao Tong University    2022, 56 (11): 1447-1452.   DOI: 10.16183/j.cnki.jsjtu.2022.167 Accepted: 11 July 2022 Abstract （345）   HTML （11）    PDF （1969KB）（178）       Knowledge map    Aimed at the modeling error of the integrated strapdown inertial navigation system(SINS)/global positioning system (GPS) navigation system and the particle degradation problem of particle filter(PF), an in-flight alignment method of integrated SINS/GPS navigation system based on the combined PF-UKF filter is proposed, in combiation with the unscented Kalman filter(UKF). First, the attitude angle is replaced by the error quaternion. The position and velocity differences between SINS and GPS are selected as the observation variables. In addition, a novel error equation of the integrated navigation system is established. Moreover, the sampled particles are divided into random particles and deterministic particles in the proposed combined PF-UKF filter. The random particles are collected by probability density function, and the determined particles are the state values obtained by collecting sigma point of UKF algorithm. Therefore, the proposed method can effectively reduce the complexity of PF and the degree of particle degradation. The simulation results show that compared with the UKF algorithm, the proposed method can effectively improve the error accuracy of integrated navigation system with a better robustness. Table and Figures | Reference | Related Articles | Metrics

Select

Journal of Surgery Concepts & Practice    2022, 27 (05): 385-386.   DOI: 10.16139/j.1007-9610.2022.05.001 Abstract （168）   HTML （14）    PDF （210KB）（129）       Knowledge map    Reference | Related Articles | Metrics

Select

Sealing Performance of Pressure-Adaptive Seal LI Yuanfeng (李元丰), WANG Yiling (王怡灵), ZHANG Wanxin∗ (张万欣), LIU Jinian (刘冀念), MA Jialu (马加炉) J Shanghai Jiaotong Univ Sci    2022, 27 (6): 747-756.   DOI: 10.1007/s12204-022-2510-x Abstract （396）      PDF （2268KB）（161）       Knowledge map    A pressure-adaptive seal is developed to meet the demands of quick assembling and disassembling for an individual protection equipment in aerospace. The analysis model, which reflects the main characteristics of the seal structure, is built based on the finite element method and the Roth’s theory of rubber seal, and verified by the prototype test. The influences of precompression ratio, hardness of the sealing ring rubber, and friction coefficient on the sealing performance are investigated by variable parameter method. Results show that the model can describe the essential characteristics of the pressure-adaptive seal structure, which has good follow-up to the cavity pressure to achieve the purpose of pressure self-adaptive. The leakage rate correlates negatively with the precompression ratio of the sealing ring and the hardness of the sealing ring material, while is positively related to the friction coefficient between the sealing ring and the sealing edge. The maximum contact stress on sealing surface has negative correlation with the precompression ratio of the sealing ring, and positive correlation with the hardness of the seal ring material. The damage risk of the sealing ring increases with the increases of the precompression ratio of sealing ring, hardness of sealing ring material, and friction coefficient. Reference | Related Articles | Metrics

Select

Airframe Damage Region Division Method Based on Structure Tensor Dynamic Operator CAI Shuyu∗ (蔡舒妤), SHI Lizhong (师利中) J Shanghai Jiaotong Univ Sci    2022, 27 (6): 757-767.   DOI: 10.1007/s12204-022-2498-2 Abstract （193）      PDF （1607KB）（76）       Knowledge map    In order to improve the accuracy of damage region division and eliminate the interference of damage adjacent region, the airframe damage region division method based on the structure tensor dynamic operator is proposed in this paper. The structure tensor feature space is established to represent the local features of damage images. It makes different damage images have the same feature distribution, and transform varied damage region division into consistent process of feature space division. On this basis, the structure tensor dynamic operator generation method is designed. It integrates with bacteria foraging optimization algorithm improved by defining double fitness function and chemotaxis rules, in order to calculate the parameters of dynamic operator generation method and realize the structure tensor feature space division. And then the airframe damage region division is realized. The experimental results on different airframe structure damage images show that compared with traditional threshold division method, the proposed method can improve the division quality. The interference of damage adjacent region is eliminated. The information loss caused by over-segmentation is avoided. And it is efficient in operation, and consistent in process. It also has the applicability to different types of structural damage. Reference | Related Articles | Metrics

Select

Construction on Aerodynamic Surrogate Model of Stratospheric Airship QIN Pengfei (秦鹏飞), WANG Xiaoliang∗ (王晓亮) J Shanghai Jiaotong Univ Sci    2022, 27 (6): 768-779.   DOI: 10.1007/s12204-022-2494-6 Abstract （169）      PDF （3866KB）（54）       Knowledge map    Stratospheric airship can stay at an altitude of 20 km for a long time and carry various loads to achieve long-term stable applications. Conventional stratospheric airship configuration mainly includes a low-resistance streamline hull and inflatable “X”-layout fins that realize the self-stabilization. A fast aerodynamic predictive method is needed in the optimization design of airship configuration and the flight performance analysis. In this paper, a predictive surrogate model of aerodynamic parameters is constructed for the stratospheric airship with “X” fins based on the neural network. First, a geometric shape parameterized model, and a flow field parameterized model were established, and the aerodynamic coefficients of airships with different shapes used as the training and test samples were calculated based on computational fluid dynamics (SA turbulence model). The improved Bayesian regularized neural network was used as the surrogate model, and 20 types of airships with different shapes were used to test the effectiveness of network. It showed that the correlation coefficients of Cx, Cy, Cz, CM,x, CM,y, CM,z were 0.928 7, 0.991 7, 0.991 9, 0.958 2, 0.986 1, 0.984 2, respectively. The aerodynamic coefficient distribution contour at different angles of attack and sideslip angles is used to verify the reliability of the method. The method can provide an effective way for a rapid estimation of aerodynamic coefficients in the airship design. Reference | Related Articles | Metrics

Select

Adaptive Human-Robot Collaboration Control Based on Optimal Admittance Parameters YU Xinyi (禹鑫燚), WU Jiaxin (吴加鑫), XU Chengjun (许成军), LUO Huizhen (罗惠珍), OU Linlin∗ (欧林林) J Shanghai Jiaotong Univ Sci    2022, 27 (5): 589-601.   DOI: 10.1007/s12204-022-2460-3 Abstract （225）      PDF （1674KB）（91）       Knowledge map    In order to help the operator perform the human-robot collaboration task and optimize the task performance, an adaptive control method based on optimal admittance parameters is proposed. The overall control structure with the inner loop and outer loop is first established. The tasks of the inner loop and outer loop are robot control and task optimization, respectively. Then an inner-loop robot controller integrated with barrier Lyapunov function and radial basis function neural networks is proposed, which makes the robot with unknown dynamics securely behave like a prescribed robot admittance model sensed by the operator. Subsequently, the optimal parameters of the robot admittance model are obtained in the outer loop to minimize the task tracking error and interaction force. The optimization problem of the robot admittance model is transformed into a linear quadratic regulator problem by constructing the human-robot collaboration system model. The model includes the unknown dynamics of the operator and the task performance details. For relaxing the requirement of the system model, the integral reinforcement learning is employed to solve the linear quadratic regulator problem. Besides, an auxiliary force is designed to help the operator complete the specific task better. Compared with the traditional control scheme, the security performance and interaction performance of the human-robot collaboration system are improved. The effectiveness of the proposed method is verified through two numerical simulations. In addition, a practical human-robot collaboration experiment is carried out to demonstrate the performance of the proposed method. Reference | Related Articles | Metrics

Select

Generation Approach of Human-Robot Cooperative Assembly Strategy Based on Transfer Learning LÜ Qibing (吕其兵), LIU Tianyuan (刘天元), ZHANG Rong (张荣), JIANG Yanan (江亚南), XIAO Lei (肖雷), BAO Jingsong∗ (鲍劲松) J Shanghai Jiaotong Univ Sci    2022, 27 (5): 602-613.   DOI: 10.1007/s12204-022-2493-7 Abstract （168）      PDF （3845KB）（46）       Knowledge map    In current small batch and customized production mode, the products change rapidly and the personal demand increases sharply. Human-robot cooperation combining the advantages of human and robot is an effective way to solve the complex assembly. However, the poor reusability of historical assembly knowledge reduces the adaptability of assembly system to different tasks. For cross-domain strategy transfer, we propose a human-robot cooperative assembly (HRCA) framework which consists of three main modules: expression of HRCA strategy, transferring of HRCA strategy, and adaptive planning of motion path. Based on the analysis of subject capability and component properties, the HRCA strategy suitable for specific tasks is designed. Then the reinforcement learning is established to optimize the parameters of target encoder for feature extraction. After classification and segmentation, the actor-critic model is built to realize the adaptive path planning with progressive neural network. Finally, the proposed framework is verified to adapt to the multi-variety environment, for example, power lithium batteries. Reference | Related Articles | Metrics

Select

Path Planning and Optimization of Humanoid Manipulator in Cartesian Space LI Shiqi (李世其), LI Xiao∗ (李肖), HAN Ke (韩可), XIONG Youjun (熊友军), XIE Zheng (谢铮), CHEN Jinliang (陈金亮) J Shanghai Jiaotong Univ Sci    2022, 27 (5): 614-620.   DOI: 10.1007/s12204-022-2416-7 Abstract （220）      PDF （1591KB）（41）       Knowledge map    To solve the problems of low efficiency and multi-solvability of humanoid manipulator Cartesian space path planning in physical human-robot interaction, an improved bi-directional rapidly-exploring random tree algorithm based on greedy growth strategy in 3D space is proposed. The workspace of manipulator established based on Monte Carlo method is used as the sampling space of the rapidly-exploring random tree, and the opposite expanding greedy growth strategy is added in the random tree expansion process to improve the path planning efficiency. Then the generated path is reversely optimized to shorten the length of the planned path, and the optimized path is interpolated and pose searched in Cartesian space to form a collision-free optimized path suitable for humanoid manipulator motion. Finally, the validity and reliability of the algorithm are verified in an intelligent elderly care service scenario based on Walker2, a large humanoid service robot. Reference | Related Articles | Metrics

Select

Automatic Removal of Multiple Artifacts for Single-Channel Electroencephalography ZHANG Chenbei (张晨贝), SABOR Nabil, LUO Junwen (罗竣文), PU Yu (蒲 宇), WANG Guoxing (王国兴), LIAN Yong∗ (连 勇) J Shanghai Jiaotong Univ Sci    2022, 27 (4): 437-451.   DOI: 10.1007/s12204-021-2374-5 Abstract （191）      PDF （2934KB）（98）       Knowledge map    Removing different types of artifacts from the electroencephalography (EEG) recordings is a critical step in performing EEG signal analysis and diagnosis. Most of the existing algorithms aim for removing single type of artifacts, leading to a complex system if an EEG recording contains different types of artifacts. With the advancement in wearable technologies, it is necessary to develop an energy-efficient algorithm to deal with different types of artifacts for single-channel wearable EEG devices. In this paper, an automatic EEG artifact removal algorithm is proposed that effectively reduces three types of artifacts, i.e., ocular artifact (OA), transmission- line/harmonic-wave artifact (TA/HA), and muscle artifact (MA), from a single-channel EEG recording. The effectiveness of the proposed algorithm is verified on both simulated noisy EEG signals and real EEG from CHB- MIT dataset. The experimental results show that the proposed algorithm effectively suppresses OA, MA and TA/HA from a single-channel EEG recording as well as physical movement artifact. Reference | Related Articles | Metrics

Select

Deformable Registration Algorithm via Non-subsampled Contourlet Transform and Saliency Map CHANG Qing∗ (常 青), YANG Wenyou (杨文友), CHEN Lanlan (陈兰岚) J Shanghai Jiaotong Univ Sci    2022, 27 (4): 452-462.   DOI: 10.1007/s12204-022-2428-3 Abstract （114）      PDF （4867KB）（31）       Knowledge map    Medical image registration is widely used in image-guided therapy and image-guided surgery to esti- mate spatial correspondence between planning and treatment images. However, most methods based on intensity have the problems of matching ambiguity and ignoring the influence of weak correspondence areas on the overall registration. In this study, we propose a novel general-purpose registration algorithm based on free-form defor- mation by non-subsampled contourlet transform and saliency map, which can reduce the matching ambiguities and maintain the topological structure of weak correspondence areas. An optimization method based on Markov random fields is used to optimize the registration process. Experiments on four public datasets from brain, car- diac, and lung have demonstrated the general applicability and the accuracy of our algorithm compared with two state-of-the-art methods. Reference | Related Articles | Metrics

Select

Gram Matrix-Based Convolutional Neural Network for Biometric Identification Using Photoplethysmography Signal WU Caiyu, (吴彩钰), SABOR Nabil, ZHOU Shihong, (周世鸿), WANG Min, (王 敏), YING Liang (应 亮), WANG Guoxing∗ (王国兴) J Shanghai Jiaotong Univ Sci    2022, 27 (4): 463-472.   DOI: 10.1007/s12204-022-2426-5 Abstract （159）      PDF （1049KB）（30）       Knowledge map    As a kind of physical signals that could be easily acquired in daily life, photoplethysmography (PPG) signal becomes a promising solution to biometric identification for daily access management system (AMS). State- of-the-art PPG-based identification systems are susceptible to the form of motions and physical conditions of the subjects. In this work, to exploit the advantage of deep learning, we developed an improved deep convolutional neural network (CNN) architecture by using the Gram matrix (GM) technique to convert time-serial PPG signals to two-dimensional images with a temporal dependency to improve accuracy under different forms of motions. To ensure a fair evaluation, we have adopted cross-validation method and “training and testing” dataset splitting method on the TROIKA dataset collected in ambulatory conditions. As a result, the proposed GM-CNN method achieved accuracy improvement from 69.5% to 92.4%, which is the best result in terms of multi-class classification compared with state-of-the-art models. Based on average five-fold cross-validation, we achieved an accuracy of 99.2%, improved the accuracy by 3.3% compared with the best existing method for the binary-class. Reference | Related Articles | Metrics

Select

Solution to Long-Range Continuous and Precise Positioning in Deep Ocean for Autonomous Underwater Vehicles Using Acoustic Range Estimation and Inertial Sensor Measurements YANG Tao (杨 涛), ZHAO Jiankang∗ (赵健康) J Shanghai Jiaotong Univ Sci    2022, 27 (3): 281-297.   DOI: 10.1007/s12204-022-2441-6 Abstract （179）      PDF （2619KB）（115）       Knowledge map    Although advances in research into autonomous underwater vehicles (AUVs) have been made to extend their working depth and endurance, underwater experiments and missions remain to be restricted by the positioning performance of AUVs. With the Global Navigation Satellite System (GNSS) precluded due to the rapid attenuation of radio signals in underwater environments, acoustic positioning methods serve as an effective substitution. A long-range continuous and precise positioning solution for AUVs in deep ocean is proposed in this study, relying on acoustic signals from beacons at the same depth and aided by onboard inertial sensors. A signal system is investigated to provide time of arrival (TOA) estimation in a resolution of milliseconds. Without pre-knowledge or local measurement of the accurate sound speed, an AUV is enabled to continuously locate its horizontal position based on rough ranges estimated by an iterative least square (ILS) based algorithm. For better accuracy and robustness, range deviations are compensated with a reference point of known position and outliers in the trajectory are eliminated by an implementation of the extended Kalman filter (EKF) coupled with the state-acceptance filter. The solution is evaluated in simulation experiments with environmental information measured on the spot, providing an average position error from ground truth below 10 m with a standard deviation below 5 m. Reference | Related Articles | Metrics

Select

Modification Method of Longitudinal Bow Structure for Ice-Strengthened Merchant Ship DING Shifeng (丁仕风), ZHOU Li∗ (周 利), GU Yingjie (顾颖杰), ZHOU Yajun (周亚军) J Shanghai Jiaotong Univ Sci    2022, 27 (3): 298-306.   DOI: 10.1007/s12204-022-2442-5 Abstract （190）      PDF （5084KB）（59）       Knowledge map    Merchant ships, which are quite different from icebreakers, usually require the light ice-strengthened bow under the floe-ice condition. According to ice-class B, requirements of China Classification Society (CCS), intermediate frames and thick hull plates are necessary for the ice belt area to resist floe-ice impact. However, due to the limited space, it is not practical to set so many intermediate longitudinals from manufacture point of view. In this paper, a modification method is proposed to solve the problem by maintaining the frame spacing and increasing the plate thickness. The aim is to make sure that the bow owns the equivalent ice-bearing capacity with the original frame spacing. At first, a bulk carrier with ice-class B is used for case study. According to the requirements of the ice class rule, a designed ice thickness is used to calculate the ice load acting on the bow area due to the impact of ice floe. Two structural models are presented to perform the strength analysis under ice load, including the out-shell plate model and the longitudinal model. The results show that increasing the plate thickness is helpful to remove the negative effect induced by enlarging the spacing of the longitudinal. A reasonable curve is presented to modify the bow for the ice-strengthened merchant ship, which shows the relationship between the increase of plate thickness and the spacing of longitudinal. Moreover, a model test of floe-ice–ship interaction is conducted to measure the dynamic ice load, based on which nonlinear dynamic FE analysis is used to verify the presented plate-thickness–longitudinal spacing curve. The results show that the proposed method can be used to improve the ice-strengthened bow structure effectively, which provides theoretical foundation to modify the requirement of CCS’s ice class rule. Reference | Related Articles | Metrics

Select

Experimental Study on Hydrodynamic Response of Semisubmersible Platform-Based Bottom-Hinged Flap Wave Energy Converter LIN Yana∗ (林 焰), PEI Feib (裴 斐) J Shanghai Jiaotong Univ Sci    2022, 27 (3): 307-315.   DOI: 10.1007/s12204-022-2443-4 Abstract （148）      PDF （1368KB）（47）       Knowledge map    A semisubmersible platform-based (SPB) bottom-hinged flap (BHF) wave energy converter (WEC) concept is presented in this paper, and its platform hydrodynamic response was studied experimentally. Aimed at studying the special WEC-mounted platform response problem, both regular and irregular wave experiments were conducted. The frequency domain results of regular wave experiments are described in the form of response amplitude operators. The time domain results of irregular wave experiments are treated by statistical analysis and fast Fourier transformation. Regular wave experiments and irregular wave experiments show good consistency. The mooring system strongly affects the whole system, which is a considerable factor for WEC design. The influences of BHF mounted on the platform are revealed in both statistic and frequency spectral ways. The results of experiments give a guide for SPB design aiming to support BHF-WEC. Reference | Related Articles | Metrics

Select

Journal of Surgery Concepts & Practice    2022, 27 (02): 93-94.   DOI: 10.16139/j.1007-9610.2022.02.001 Abstract （148）   HTML （14）    PDF （253KB）（24）       Knowledge map    Reference | Related Articles | Metrics

Select

Contemporary Foreign Languages Studies    2022, 22 (3): 1-2.   Abstract （235）   HTML （34）    PDF （392KB）（154）       Knowledge map    Reference | Related Articles | Metrics

Select

How Comparative Literature Journals Respond to the Construction of New Liberal Arts SONG Binghui Contemporary Foreign Languages Studies    2022, 22 (3): 5-11.   DOI: 10.3969/j.issn.1674-8921.2022.03.001 Abstract （170）   HTML （18）    PDF （929KB）（70）       Knowledge map    The construction of new liberal arts aims to promote the research and innovation of humanities and social sciences through the integration of different disciplines. How should comparative literature and its journals constructed on a cross-disciplinary basis respond to this challenge and opportunity for academic development? The paper holds that comparative literature should summarize the existing cross-cultural and cross-disciplinary vision and methodology, grasp the scientific achievements in the new century and the characteristics of the highly globalized era, and learn actively from other social sciences and natural sciences, while adhering to the basic principles and core methods of comparative literature as one of the humanities. Professional academic journals should also follow the same practice to stick to academic ethics and carry out its academic purpose to function as a medium for the development of humanities scholarship in the new century. Reference | Related Articles | Metrics

Select

Development of Theoretical Framework and Research Focus of Language Management in the New Era WANG Lifei Contemporary Foreign Languages Studies    2022, 22 (3): 28-34.   DOI: 10.3969/j.issn.1674-8921.2022.03.004 Abstract （199）   HTML （14）    PDF （923KB）（83）       Knowledge map    This paper develops the concept, definition and theoretical framework of language management studies in the new era. The research framework includes six specific areas of language planning management, language education management, corporate language management, language resources management, language standardization management and emergency language management. The interrelationships among the six areas and focus of each area are elaborated in the hope of developing a theoretical system of language management, advancing its academic research, and providing some implications for the ongoing discussion of the modernization of language governance capabilities. Table and Figures | Reference | Related Articles | Metrics

Select

Transknowletology: Its Naming and Concept Construction, MENG Xiangchun Contemporary Foreign Languages Studies    2022, 22 (3): 55-64.   DOI: 10.3969/j.issn.1674-8921.2022.03.007 Abstract （1241）   HTML （31）    PDF （1268KB）（228）       Knowledge map    With cross-cultural interaction between local knowledge and global knowledge as its fundamental rationale, and with knowledge and culture synthesized in this conception, Transknowletology, proposed by Yang Feng, integrates “knowledge” in the ontological sense into Translatology, thereby constructing a fundamentally and ultimately knowledge-centered translation theory whose major inquiry focuses on “knowledge translation” and “translated knowledge” essentially in the framework of translation studies. If it should develop following the path of “studies of knowledge translation”, the term “knowledge translation studies”, therefore, may serve as its proper name. If it develops as knowledge-rooted-and-centered translation studies, as it is intended, Transknowletology may be its possible, if not the best, name. By virtue of the naming of “Transknowletology” per se, a series of new concepts or discourses can be reversely constructed, such as “knowledge glocalization”, the “scissors differential of knowledge”, “knowledge impact”, “knowledge-culture entanglement”, the “ripple effect of knowledge”, and the “knowledge translation paradox”, thus enriching and empowering the theory in question. A complete, mature Transknowletology necessitates a proper definition of “knowledge”, the establishment of translation criteria, the organic synthesis of newly constructed concepts and discourses, self-introspection with “others” as frames of reference, and engagement in global scholarship through discourse featuring “comparative glocalism”. These endeavors may enrich and even reshape global translation studies. Reference | Related Articles | Metrics

Select

Advances in Medicine-Engineering Crossover in Automated Anesthesia XU Tianyi (徐天意), XIA Ming (夏明), JIANG Hong (姜虹) J Shanghai Jiaotong Univ Sci    2022, 27 (2): 137-143.   DOI: 10.1007/s12204-021-2329-x Abstract （250）      PDF （156KB）（103）       Knowledge map    Medicine-engineering crossover refers to the cross-fertilization of multiple disciplines to meet clinical needs through various means, including engineering, which greatly promotes medical development. In the development of anesthesiology, improvements in anesthesia equipment and continuous innovation of anesthesia technology are all closely related to the integration of medicine and engineering. In recent years, the exploration and development of automated anesthesia equipment has led to closer integration of medicine, engineering, and other disciplines, including the development of robots in anesthesia, automated monitoring and alarm technology,automated perioperative management, and remote anesthesia. Herein, the current status of applications and development of medicine-engineering crossover in the field of automated anesthesia are discussed. Reference | Related Articles | Metrics

Select

Application of Digital Medicine in Addiction WU Xiaojun (吴萧俊), DU Jiang (杜江), JIANG Haifeng (江海峰), ZHAO Min (赵敏) J Shanghai Jiaotong Univ Sci    2022, 27 (2): 144-152.   DOI: 10.1007/s12204-021-2391-4 Abstract （216）      PDF （185KB）（85）       Knowledge map    Digital medicine plays an important role in disease assessment, psychological intervention, and relapse management in mental illnesses. Patients with substance use disorders can be easily affected by the environment and negative emotions, inducing addiction and relapse. However, due to social discrimination, stigma, or economic issues, they are unwilling to go to the hospital for treatment, making it difficult for health workers to track their health changes. Additionally, mental health resources in China are insufficient. Digital medicine aims to solve these problems. This article reviews digital medicine in the field of addiction, hoping to provide a reference for the future exploration of more individualized and effective digital medicine. Reference | Related Articles | Metrics

Select

Risk Prediction Model of Gallbladder Disease in Shanghai Middle-Aged and Elderly People Based on Neural Networks YUAN Xiaoqi (袁筱祺), ZHU Lelan (朱乐兰), XU Qiongfan(徐琼凡), GAO Wei (高玮) J Shanghai Jiaotong Univ Sci    2022, 27 (2): 153-159.   DOI: 10.1007/s12204-021-2386-1 Abstract （218）      PDF （345KB）（70）       Knowledge map    This paper discusses the risk factors related to gallbladder disease in Shanghai, improves the accuracy of risk prediction, and provides a theoretical basis for scientific diagnosis and universality of gallbladder disease.We selected 3 462 data of middle-aged and elderly health check-up patients in a general hospital in Shanghai,and divided into gallbladder disease group according to color doppler ultrasound diagnosis results. Single-factor analysis screened out 8 important risk factors, which were used as an analysis variable of multi-layer perceptron neural network and binary logistic regression to construct the prediction model of gallbladder disease. The prediction accuracy of the multi-layer perceptron neural network risk prediction model is 76%. The area under the receiver operating characteristic curve (AUC) is 0.82, the maximum Youden index is 0.44, the sensitivity is 79.51, and the specificity is 64.23. The prediction accuracy of the multi-layer perceptron neural network model is better than that of the binary logistic regression prediction model. The overall prediction accuracy of the binary logistic regression prediction model is 75.60%, the AUC is 0.81, the maximum Youden index is 0.42, the sensitivity is 74.48, and the specificity is 57.60. In the objective risk prediction of gallbladder disease in middle-aged and elderly people in Shanghai, the risk prediction model based on the multi-layer perceptron neural network has a better prediction performance than the binary logistic regression model, which provides a theoretical basis for preventive treatment and intervention. Reference | Related Articles | Metrics

• page
• Page 1 of 3
• Total 119 records
• First page
• Prev page
• Next page
• Last page