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  • Automation & Computer Technologies
    CHEN Cheng, PENG Pan, TAO Wei, ZHAO Hui
    J Shanghai Jiaotong Univ Sci. 2025, 30(6): 1073-1084. https://doi.org/10.1007/s12204-023-2645-4
    Recent advances in convolution neural network (CNN) have fostered the progress in object recognition and semantic segmentation, which in turn has improved the performance of hyperspectral image (HSI) classification. Nevertheless, the difficulty of high dimensional feature extraction and the shortage of small training samples seriously hinder the future development of HSI classification. In this paper, we propose a novel algorithm for HSI classification based on three-dimensional (3D) CNN and a feature pyramid network (FPN), called 3D-FPN. The framework contains a principle component analysis, a feature extraction structure and a logistic regression. Specifically, the FPN built with 3D convolutions not only retains the advantages of 3D convolution to fully extract the spectral-spatial feature maps, but also concentrates on more detailed information and performs multi-scale feature fusion. This method avoids the excessive complexity of the model and is suitable for small sample hyperspectral classification with varying categories and spatial resolutions. In order to test the performance of our proposed 3D-FPN method, rigorous experimental analysis was performed on three public hyperspectral data sets and hyperspectral data of GF-5 satellite. Quantitative and qualitative results indicated that our proposed method attained the best performance among other current state-of-the-art end-to-end deep learning-based methods.
  • Automation & Computer Technologies
    YU Xinyi, XU Siyu, FAN Yuehai, OU Linlin
    J Shanghai Jiaotong Univ Sci. 2025, 30(6): 1085-1102. https://doi.org/10.1007/s12204-023-2631-x
    In order to solve the control problem of multiple-input multiple-output (MIMO) systems in complex and variable control environments, a model-free adaptive LSAC-PID method based on deep reinforcement learning (RL) is proposed in this paper for automatic control of mobile robots. According to the environmental feedback, the RL agent of the upper controller outputs the optimal parameters to the lower MIMO PID controllers, which can realize the real-time PID optimal control. First, a model-free adaptive MIMO PID hybrid control strategy is presented to realize real-time optimal tuning of control parameters in terms of soft-actor-critic (SAC) algorithm, which is state-of-the-art RL algorithm. Second, in order to improve the RL convergence speed and the control performance, a Lyapunov-based reward shaping method for off-policy RL algorithm is designed, and a self-adaptive LSAC-PID tuning approach with Lyapunov-based reward is then determined. Through the policy evaluation and policy improvement of the soft policy iteration, the convergence and optimality of the proposed LSAC-PID algorithm are proved mathematically. Finally, based on the proposed reward shaping method, the reward function is designed to improve the system stability for the line-following robot. The simulation and experiment results show that the proposed adaptive LSAC-PID approach has good control performance such as fast convergence speed, high generalization and high real-time performance, and achieves real-time optimal tuning of MIMO PID parameters without the system model and control loop decoupling.
  • Automation & Computer Technologies
    TAHIR Rizwana, CAI Yunze
    J Shanghai Jiaotong Univ Sci. 2025, 30(6): 1103-1113. https://doi.org/10.1007/s12204-023-2658-z
    Recent multimedia and computer vision research has focused on analyzing human behavior and activity using images. Skeleton estimation, known as pose estimation, has received a significant attention. For human pose estimation, deep learning approaches primarily emphasize on the keypoint features. Conversely, in the case of occluded or incomplete poses, the keypoint feature is insufficiently substantial, especially when there are multiple humans in a single frame. Other features, such as the body border and visibility conditions, can contribute to pose estimation in addition to the keypoint feature. Our model framework integrates multiple features, namely the human body mask features, which can serve as a constraint to keypoint location estimation, the body keypoint features, and the keypoint visibility via mask region-based convolutional neural network (Mask- RCNN). A sequential multi-feature learning setup is formed to share multi-features across the structure, whereas, in the Mask-RCNN, the only feature that could be shared through the system is the region of interest feature. By two-way up-scaling with the shared weight process to produce the mask, we have addressed the problems of improper segmentation, small intrusion, and object loss when Mask-RCNN is used, for instance, segmentation. Accuracy is indicated by the percentage of correct keypoint, and our model can identify 86.1% of the correct keypoints.
  • Computing & Computer Technologies
    LIU Mengge, LIU Hao, HE Xin, JIN Shaohui, CHEN Pengyun, XU Mingliang
    J Shanghai Jiaotong Univ Sci. 2025, 30(5): 833-854. https://doi.org/10.1007/s12204-023-2686-8
    Non-line-of-sight imaging recovers hidden objects around the corner by analyzing the diffuse reflection light on the relay surface that carries hidden scene information. Due to its huge application potential in the fields of autonomous driving, defense, medical imaging, and post-disaster rescue, non-line-of-sight imaging has attracted considerable attention from researchers at home and abroad, especially in recent years. The research on non-line-of-sight imaging primarily focuses on imaging systems, forward models, and reconstruction algorithms. This paper systematically summarizes the existing non-line-of-sight imaging technology in both active and passive scenes, and analyzes the challenges and future directions of non-line-of-sight imaging technology.
  • YANG Feng, LI Siyi
    Contemporary Foreign Languages Studies. 2025, 25(5): 1-11. https://doi.org/10.3969/j.issn.1674-8921.2025.05.001

    Within the theoretical framework of the Transknowletology, this study proposes and systematically constructs a theoretical model for Genealogical Terminology Translation. The Transknowletology conceptualizes translation as a cross-linguistic act of knowledge processing, reconstruction, and re-dissemination, thereby providing a novel epistemological foundation for terminology translation research. Terminology Translation Genealogy seeks to transcend the static equivalence model prevalent in traditional terminology translation studies. By tracing the multiple trajectories, variant forms and underlying power, cultural and knowledge dynamics of core terms during their translingual journeys, it reveals the constitutive role of terminology translation in the generation and evolution of knowledge. After elaborating on the definition and necessity of Terminology Translation Genealogy, and distinguishing its connections and differences from traditional terminology translation studies and conceptual translation history, this study ultimately establishes its core position and value within the theoretical system of knowledge translation.

  • XU Jun
    Contemporary Foreign Languages Studies. 2025, 25(5): 12-14. https://doi.org/10.3969/j.issn.1674-8921.2025.05.002

    This paper delves into the significant theoretical and contemporary implications of Professor Yang Feng’s proposition that “translation is human studies” for re-understanding the essence of translation. It argues that this proposition serves as a crucial response to and critique of the prevailing instrumental and technocratic views of translation. The article systematically elucidates the theoretical connotations of “translation is human studies” through three interconnected dimensions: Firstly, on the ontological level, translation is posited as a fundamental mode of human existence, facilitating the communication of consciousness and the expansion of being through the creation and transformation of symbols. Secondly, on the cultural level, translation is characterized as a cross-cultural communicative act, functioning as a constructive force in cultural dissemination, exchange, and innovation. Thirdly, within the contemporary context, especially in the age of artificial intelligence, this proposition critically underscores the inherently humanistic nature of translation, the subjectivity of the translator, and its attendant ethical responsibilities. The paper concludes that “translation is human studies” is not a definitive theoretical summation but an open-ended intellectual proposition. It situates translation practice within the broader framework of human existence, culture, and production, thereby offering a new philosophical pathway and critical perspective for re-evaluating the utility of translation and addressing technological challenges.

  • LIU Junping
    Contemporary Foreign Languages Studies. 2025, 25(5): 15-26. https://doi.org/10.3969/j.issn.1674-8921.2025.05.003

    In the era of artificial intelligence, the proposition that “translation means humanities” not only demonstrates the conflicts and dialogue between science and humanities, but also highlights the necessity of promoting the humanistic spirit. This paper explores the differences between “human-minded translation” and “machine-minded translation” from three dimensions: the translator’s subjectivity, the language ontology theory, and the translation-studies existence theory. According to the translator’s subjectivity theory, the translator’s self-awareness and self-understanding play an irreplaceable role in translation creativity. As the subject in the process of translation creation, humans have the characteristic of “reflecting on the image”. The virtual and coded process of artificial intelligence cannot fully accommodate the contextuality, interpretation, and authenticity of language meaning representations. The ontology theory emphasizes the metaphorical thinking of language and the emotional expression of “poetic wisdom”, and at the same time highlights the translator’s personal style. Different from the machine’s formalized language, the translator’s language combines aesthetic characteristics and life experiences. The flattened language of machine translation leads to the degradation of language, thus causing the “loss of the Tao”. The existence theory of translation studies focuses on the proposition of “translation shapes a person” and the translator’s ultimate pursuit of human goal. The proposition that “translation means humanities” is conducive to reconstructing translation ethics and humanistic care in the era of artificial intelligence, injecting profound humanistic spirit into digital civilization, and reflecting the exploration of the ultimate proposition that “human beings are the end”.

  • LAN Hongjun
    Contemporary Foreign Languages Studies. 2025, 25(5): 39-47. https://doi.org/10.3969/j.issn.1674-8921.2025.05.005

    The development of AI has transformed the internal and external relations of translation, challenging the subjectivity of “human” in translation and triggering anxiety and reflection on whether human translators will and should give way to AI translation. In the AI era, the essence of technical issues or translation issues is all about “human”. From the perspective of “human”, this article explores three questions: whether translation will still exist in the AI era, how translation will exist, and how humans will exist in translation. It tries to re-examine translation and understand human translators in translation and the relationship between human and translation, as well as between human and the world, in order to encourage human translators to recognize, maintain, and uphold their self-awareness, subject status and ethical responsibility.

  • LUO Lin
    Contemporary Foreign Languages Studies. 2025, 25(5): 60-70. https://doi.org/10.3969/j.issn.1674-8921.2025.05.007

    International and Regional Studies with Chinese characteristics is an emerging interdisciplinary field dedicated to serving national strategies, focusing on comprehensive research into the politics, economies, and cultures of countries worldwide. Its formal designation as a first-level discipline in 2022 marks the beginning of its systematic construction. Centered on a “government-industry-university-research-application” collaborative mechanism, it fulfills four key functions: informing policy, advising businesses, enlightening the public, and cultivating talent, all aimed at constructing an autonomous knowledge system with Chinese characteristics. By integrating resources from universities and think tanks, it promotes talent development and theoretical innovation, and emphasizes mutual learning among civilizations and a balanced, pluralistic methodology, with a view to breaking through Western-centric paradigms, supporting the Belt and Road Initiative and national foreign strategies, and contributing Chinese wisdom to global governance.

  • YU Jiang, YUAN Xin
    Contemporary Foreign Languages Studies. 2025, 25(5): 71-84. https://doi.org/10.3969/j.issn.1674-8921.2025.05.008

    The multi-dimensional connotations of “autonomy” within China’s independent knowledge system of area studies are manifested in various aspects during the process of discipline construction, including academic subjectivity, independence of research paradigms, and the indigenous nature of value orientations. In terms of knowledge production, such autonomy is reflected in the integration of localization and internationalization, independent knowledge innovation, and the dissemination of autonomous knowledge. The significance of the discipline’s development lies in its contributions to enhancing the country’s soft power, serving national strategic needs, and promoting disciplinary growth and international exchanges. Faced with challenges such as the influence of Western theories, obstacles to interdisciplinary integration, and competition for international discourse power, strategies to address these issues include strengthening academic self-confidence, promoting interdisciplinary integration, and actively participating in international academic exchanges. The fundamental components of the independent knowledge system of area studies should encompass comprehensive regional knowledge, specialized country-specific knowledge, research methodologies for area studies, and a theoretical framework for area studies. These components not only serve as the cognitive foundation for constructing and facilitating the high-quality development of China’s area studies with Chinese characteristics, style, and demeanor but also provide theoretical references and practical insights for the construction of China’s independent knowledge system.

  • Consensus and guideline
    ZHU Zhenggang, Joji Kitayama, Hyung-Ho Kim, Jimmy Bok-Yan So, CAO Hui, CHEN Lin, CHENG Xiangdong, HU Jiankun, Motohiro Imano, Hironori Ishigami, Ye Seob Jee, Jong-Han Kim, Yasuhiro Kodera, LIANG Han, LIU Xiaowen, LU Sheng, MOU Yiping, NIE Mingming, Won Jun Seo, WANG Yanong, WU Dan, XU Zekuan, Hironori Yamaguchi, YAN Chao, YANG Zhongyin, YIN Kai, Yutaka Yonemura, Wei-Peng Yong, YU Jiren, ZHANG Jun, Asian Gastric Cancer NIPS Treatment Collaborative Group, Shanghai Anticancer Association, Committee of Peritoneal Tumor
    Journal of Surgery Concepts & Practice. 2025, 30(04): 277-294. https://doi.org/10.16139/j.1007-9610.2025.04.01

    Gastric cancer with peritoneal metastasis (GCPM) is a common and lethal manifestation of advanced gastric cancer, with a median survival of only 5-11 months. This consensus was developed by 30 experts from Asia (China, Japan, Korea, and Singapore) using the Delphi method and the GRADE evidence grading system. A total of 29 statements were formulated, covering the diagnosis and assessment of GCPM, indications for laparoscopic exploration and NIPS (normothermic intraperitoneal and systemic treatment), treatment regimens, prevention and management of complications, criteria for conversion surgery, and postoperative intraperitoneal therapy. The consensus aims to standardize clinical practice and improve the prognosis of patients with GCPM.

  • Computing & Computer Technologies
    WU Yalei, LI Jinghua, KONG Dehui, LI Qianxing, YIN Baocai
    J Shanghai Jiaotong Univ Sci. 2025, 30(5): 855-865. https://doi.org/10.1007/s12204-024-2697-0
    Due to self-occlusion and high degree of freedom, estimating 3D hand pose from a single RGB image is a great challenging problem. Graph convolutional networks (GCNs) use graphs to describe the physical connection relationships between hand joints and improve the accuracy of 3D hand pose regression. However, GCNs cannot effectively describe the relationships between non-adjacent hand joints. Recently, hypergraph convolutional networks (HGCNs) have received much attention as they can describe multi-dimensional relationships between nodes through hyperedges; therefore, this paper proposes a framework for 3D hand pose estimation based on HGCN, which can better extract correlated relationships between adjacent and non-adjacent hand joints. To overcome the shortcomings of predefined hypergraph structures, a kind of dynamic hypergraph convolutional network is proposed, in which hyperedges are constructed dynamically based on hand joint feature similarity. To better explore the local semantic relationships between nodes, a kind of semantic dynamic hypergraph convolution is proposed. The proposed method is evaluated on publicly available benchmark datasets. Qualitative and quantitative experimental results both show that the proposed HGCN and improved methods for 3D hand pose estimation are better than GCN, and achieve state-of-the-art performance compared with existing methods.
  • Computing & Computer Technologies
    SHAO Yanli, YING Yong, CHEN Xi, DONG Siyu, WEI Dan
    J Shanghai Jiaotong Univ Sci. 2025, 30(5): 866-879. https://doi.org/10.1007/s12204-023-2680-1
    This study proposes a multi-scene smoke detection algorithm based on a multi-feature extraction method to address the problems of varying smoke shapes in different scenes, difficulty in locating and detecting translucent smoke, and variable smoke scales. First, the convolution module of feature extraction in YOLOv5s backbone network is replaced with asymmetric convolution block re-parameterization convolution to improve the detection of different shapes of smoke. Then, coordinate attention mechanism is introduced in the deeper layer of the backbone network to further improve the localization of translucent smoke. Finally, the detection of smoke at different scales is further improved by using the feature pyramid convolution module instead of the standard convolution module of the feature pyramid in the model. The experimental results demonstrate the feasibility and superiority of the proposed model for multi-scene smoke detection.
  • Expert forum
    SHI Hao, WANG Zhaohui
    Journal of Internal Medicine Concepts & Practice. 2025, 20(03): 185-190. https://doi.org/10.16138/j.1673-6087.2025.03.01

    Multiple myeloma (MM) is associated with a high incidence of renal impairment, which correlates with decreased overall survival and increased risk of early mortality in these patients. In recent years, there has been great progress in the treatment of MM, and new drugs and therapies have improved prognosis of the patients. However, the prognosis of MM patients with concurrent renal impairment remains poorer compared with those with normal renal function. This article reviews the advancements in treatment and relevant strategies for MM patients with renal impairment. Current research supports the regime of combining monoclonal antibodies with proteasome inhibitors or immunomodulatory drugs in MM treatment. Chimeric antigen receptor T cells therapy, T-cell directing bispecific antibodies and antibody-drug conjugates have only been evaluated in small-scale retrospective studies for patients with renal impairment. Although the benefits of mechanical approaches aiming at rapid clearance of free light chains, such as plasmapheresis and high-cutoff hemodialysis, have not been confirmed, they may provide opportunities for renal recovery as combing with chemotherapy. The efficacy and safety of treatment in MM patients with renal impairment should be proactively assessed in prospective randomized controlled trials.

  • Medicine-Engineering Interdisciplinary
    Hai Jizhe, Xu Qingyu, Shan Chunlong, Li Haijie, Jing Lei
    J Shanghai Jiaotong Univ Sci. 2025, 30(4): 625-636. https://doi.org/10.1007/s12204-025-2819-3
    In bone tissue engineering microstructure design, adjusting the structural design of biomimetic bone scaffolds can provide distinct differentiation stimuli to cells on the scaffold surface. This study explored the biomechanical impacts of different biomimetic microstructures on advanced bone tissue engineering scaffolds. Two irregular bone scaffolds (homogeneous/radial gradient) based on the Voronoi tesselation algorithm and eight regular lattice scaffolds involving pillar body centered cubic, vintiles, diamond, and cube (homogeneous/radial gradient) with constant 80% porosity were constructed. Mechanical stimulation differentiation algorithms, finite element analysis, and computational fluid dynamics were used to investigate the effects of different pore structures on the octahedral shear strain and fluid flow shear stress within the scaffolds, thereby elucidating the differentiation capabilities of the five structural bone/cartilage cell types. The findings demonstrated that irregular structures and radial-gradient designs promoted osteogenic differentiation, whereas regular structures and homogeneous designs facilitated chondrogenic differentiation. The highest percentages of osteoblast and chondrocyte differentiation were observed in radial-gradient irregular scaffolds. This research provides insights into the microstructure design of bone tissue engineering implants.
  • Medicine-Engineering Interdisciplinary
    Sun Chang, Wang Shaohong, Lin Yanping
    J Shanghai Jiaotong Univ Sci. 2025, 30(4): 637-645. https://doi.org/10.1007/s12204-024-2580-z
    Frequency-modulated continuous-wave radar enables the non-contact and privacy-preserving recognition of human behavior. However, the accuracy of behavior recognition is directly influenced by the spatial relationship between human posture and the radar. To address the issue of low accuracy in behavior recognition when the human body is not directly facing the radar, a method combining local outlier factor with Doppler information is proposed for the correction of multi-classifier recognition results. Initially, the information such as distance, velocity, and micro-Doppler spectrogram of the target is obtained using the fast Fourier transform and histogram of oriented gradients - support vector machine methods, followed by preliminary recognition. Subsequently, Platt scaling is employed to transform recognition results into confidence scores, and finally, the Doppler - local outlier factor method is utilized to calibrate the confidence scores, with the highest confidence classifier result considered as the recognition outcome. Experimental results demonstrate that this approach achieves an average recognition accuracy of 96.23% for comprehensive human behavior recognition in various orientations.
  • Medicine-Engineering Interdisciplinary
    Tian Siyu, Gao Jinyang, Huang Peng, Ma Xinyu, Ma Ziyu
    J Shanghai Jiaotong Univ Sci. 2025, 30(4): 646-657. https://doi.org/10.1007/s12204-024-2720-5
    Magnetic tracking technologies have a promising application in detecting the real-time position and attitude of a capsule endoscope. However, most of them need to measure the magnetic moment of a permanent magnet (PM) embedded in the capsule accurately in advance, which can cause inconvenience to practical application. To solve this problem, this paper proposes a magnetic tracking system with the capability of measuring the magnetic moment of the PM automatically. The system is constructed based on a 4 × 4 magnetic sensor array, whose sensing data is analyzed to determine the magnetic moment by referring to a magnetic dipole model. With the determined magnetic moment, a method of fusing the linear calculation and Levenberg-Marquardt algorithms is proposed to determine the 3D position and 2D attitude of the PM. The experiments verified that the proposed system can achieve localization errors of 0.48mm, 0.42mm, and 0.83mm and orientation errors of 0.66 ◦ , 0.64 ◦ , and 0.87◦ for a PM (∅10mm × 10mm) at vertical heights of 5 cm, 10 cm, and 15 cm from the magnetic sensor array, respectively.
  • Expert forum
    GU Yubei, HONG Yu
    Journal of Internal Medicine Concepts & Practice. 2025, 20(02): 101-106. https://doi.org/10.16138/j.1673-6087.2025.02.01

    Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn disease (CD), requires long-term medication to maintain remission. Developing a medicine de-escalation strategies during remission is crucial for reducing side effects and alleviating economic burdens, but the risks and benefits of medicine discontinuation remain controversial. The dose of 5-aminosalicylic acid (5-ASA) can be reduced in partial UC patients during remission, but the risk of relapse increases after medicine discontinuation. Long-term use of immunomodulators such as azathioprine has safety issues, but safe discontinuation of the medicine can be achieved through a medicine monitoring systems. The relapse rate after discontinuation of biologics agents during remission is high, especially in patients who have not achieved deep remission. The medicine de-escalation strategy for patient receiving combination therapy requires comprehensive assessment. Relapse monitoring after medicine discontinuation is critical, endoscopy and biomarkers such as C-reactive protein (CRP) and fecal calprotectin (FCP) can be used as effective predictive tools. This review summarizes recent studies on medicine de-escalation in IBD remission to provide reference for clinical practice and promote shared decision-making between patients and physicians.

  • Experts forum
    LI Chun, MA Zuyi, SUN Jia, LI Binglu
    Journal of Surgery Concepts & Practice. 2025, 30(02): 93-100. https://doi.org/10.16139/j.1007-9610.2025.02.01

    Cholangiocarcinoma (CCA) is a group of malignant tumors arising from the biliary epithelium, with systemic therapy serving as the primary treatment approach for patients with advanced disease. In recent years, advances in molecular classification and targeted therapy have led to rapid updates in treatment guidelines for CCA. This review summarized recent progress in systemic treatment strategies for advanced CCA and the relevant recommendations in both international and domestic guidelines, aiming to provide evidence-based references for clinical management and decision-making in patients with CCA.

  • Drive System Technique. 2025, 39(02): 3-14+22.
    综述了锂离子电池智能管理算法的最新研究进展,聚焦于荷电状态估计、健康状态与剩余寿命预测、快速充电及故障诊断四个核心问题。通过整合模型驱动与数据驱动两类方法的代表性成果,对比分析其在精度、鲁棒性、计算效率及工程落地中的优势与局限性。模型驱动方法具备物理机理清晰、可解释性强的特点,但面临参数时变性与复杂工况适应性的挑战;数据驱动方法凭借非线性建模能力在复杂场景中表现优异,但受限于数据质量与可解释性不足。进一步探讨了两类方法融合的技术趋势,如物理信息嵌入的混合模型、多模态数据融合及深度强化学习框架的应用前景。此外,快速充电策略正向热-电耦合优化与自适应控制发展,故障诊断技术则通过多维传感与AI融合实现早期预警。为构建高可靠性、长循环寿命的电池管理系统提供理论参考与技术方向,同时指出未来研究需重点关注小样本学习、跨电池泛化能力及算法实时性优化等关键问题。
  • Medicine-Engineering Interdisciplinary
    Qin Wei, Wang Shuyi, Chen Xueyu, Zhuang Yiwei, Shen Yichun, Shen Yuhán
    J Shanghai Jiaotong Univ Sci. 2025, 30(3): 417-424. https://doi.org/10.1007/s12204-025-2808-6
    Closed thoracic drainage can be performed using a steel-needle-guided chest tube to treat pleural effusion or pneumothorax in clinics. However, the puncture procedure during surgery is invisible, increasing the risk of surgical failure. Therefore, it is necessary to design a visualization system for closed thoracic drainage. Augmented reality (AR) technology can assist in visualizing the internal anatomical structure and determining the insertion point on the body surface. The structure of the currently used steel-needle-guided chest tube was modified by integrating it with an ultrafine diameter camera to provide real-time visualization of the puncture process. After simulation experiments, the overall registration error of the AR method was measured to be within (3.59±0.53) mm, indicating its potential for clinical application. The ultrafine diameter camera module and improved steel-needle-guided chest tube can timely reflect the position of the needle tip in the human body. A comparative experiment showed that video guidance could improve the safety of the puncture process compared to the traditional method. Finally, a qualitative evaluation of the usability of the system was conducted through a questionnaire. This system facilitates the visualization of closed thoracic drainage puncture procedure and provides an implementation scheme to enhance the accuracy and safety of the operative step, which is conducive to reducing the learning curve and improving the proficiency of the doctors.
  • Medicine-Engineering Interdisciplinary
    Wang Wei, Zhou Cheng, Jiang Jinlei, Cui Xinyuan, Yan Guozheng, Cui Daxiang
    J Shanghai Jiaotong Univ Sci. 2025, 30(3): 425-432. https://doi.org/10.1007/s12204-024-2717-0
    An optimizing method for designing the wireless power receiving coil (RC) is proposed in this paper to address issues such as insufficient and fluctuating power supply in the near-infrared capsule robot. An electromagnetic and circuit analysis is conducted to establish the magnetic induction intensity and equivalent circuit models for the wireless power transmission system. Combining these models involves using the number of layers in each dimension as the optimization variable. Constraints are imposed based on the normalized standard deviation of the receiving-end load power and spatial dimensions. At the same time, the optimization objective aims to maximize the average power of the receiving-end load. This process leads to formulating an optimization model for the RC. Finally, three-dimensional RCs with three different sets of parameters are wound, and the receiving-end load power of these coils is experimentally tested under various drive currents. The experimental values of the receiving-end load power exhibit a consistent trend with theoretical values, with experimental values consistently lower than theoretical values. The optimized coil parameters are determined by conducting comparative experiments, with a theoretical value of 4.6% for the normalized standard deviation of the receiving-end load power and an average experimental value of 9.6%. The study addressed the power supply issue of near-infrared capsule robots, which is important for early diagnosing and treating gastrointestinal diseases.
  • Medicine-Engineering Interdisciplinary
    Xu Qingyu, Hai Jizhe, Shan Chunlong, Li Haijie
    J Shanghai Jiaotong Univ Sci. 2025, 30(3): 433-445. https://doi.org/10.1007/s12204-024-2770-8
    Irregular bone scaffolds fabricated using the Voronoi tessellation method resemble the morphology and properties of human cancellous bones. This has become a prominent topic in bone tissue engineering research in recent years. However, studies on the radial-gradient design of irregular bionic scaffolds are limited. Therefore, this study aims to develop a radial-gradient structure similar to that of natural long bones, enhancing the development of bionic bone scaffolds. A novel gradient method was adopted to maintain constant porosity, control the seed sitespecific distribution within the irregular porous structure, and vary the strut diameter to generate radial gradients. The irregular scaffolds were compared with four conventional scaffolds (cube, pillar BCC, vintiles, and diamond) in terms of permeability, stress concentration characteristics, and mechanical properties. The results indicate that the radial-gradient irregular porous structure boasts the widest permeability range and superior stress distribution compared to conventional scaffolds. With an elastic modulus ranging from 4.20 GPa to 22.96 GPa and a yield strength between 68.37 MPa and 149.40 MPa, it meets bone implant performance requirements and demonstrates significant application potential.
  • MENG Xiangchun, YANG Feng
    Contemporary Foreign Languages Studies. 2025, 25(3): 1-2.
  • LI Zhanzi, HAN Zeting
    Contemporary Foreign Languages Studies. 2025, 25(3): 119-128. https://doi.org/10.3969/j.issn.1674-8921.2025.03.011

    With the rise of generative AI, social semiotic multimodality studies face new opportunities and challenges. This paper reviews recent developments in multimodal researches to explore the application and impacts of AI technologies in social semiotics. Our findings show that AI helps overcome methodological limitations in multimodal discourse research, stimulates innovation in multimodal genres, and contributes to a paradigm shift in social semiotics theory—one that considers all communicative elements in the dynamic meaning exchange process. To address AI’s limitations in empathy and multimodal comprehension, future efforts should focus on building harmonious human-AI collaboration, encouraging interdisciplinary work and enriching the interpretation of multimodal discourse theory.

  • Editorial
    GUO Yawen, ZHENG Chuanming, GE Minghua
    Journal of Surgery Concepts & Practice. 2025, 30(01): 1-6. https://doi.org/10.16139/j.1007-9610.2025.01.01

    The endoscopic thyroidectomy by gasless unilateral axillary approach (GUA) represents a significant advancement in the field of endoscopic thyroid surgery, offering notable aesthetic and clinical therapeutic benefits. This paper reviewed the current clinical application, core technological innovations, quality control systems, and future developmental directions of GUA. Research indicated that GUA achieved surgical outcomes comparable to traditional open surgery in the treatment of benign thyroid tumors and thyroid cancer, while substantially enhancing cosmetic results and patient satisfaction. By optimizing the surgical approach design, enhancing cavity construction equipment, and standardizing the operational process, GUA markedly reduced the incidence of postoperative complications, preserved the anterior cervical functional area, and improved patients' postoperative quality of life. Furthermore, multidisciplinary collaboration and thorough pre-operative evaluation were fundamental to surgical success, while intraoperative quality control measures and a comprehensive postoperative follow-up system ensured the safety and efficacy of the procedure. In the future, the integration of robotic technology and advancements in single-site devices are anticipated to enhance the role of GUA in endoscopic thyroid surgery, thereby offering patients more minimally invasive and aesthetically favorable treatment options.

  • Consensus and guideline
    LU Shanshan, JI Yuan
    Journal of Surgery Concepts & Practice. 2025, 30(01): 27-33. https://doi.org/10.16139/j.1007-9610.2025.01.06

    The 2022 WHO classification of endocrine and neuroendocrine tumors (5th edition) categorizes thyroid follicular cell-derived tumors into benign, low-risk, and malignant types. Benign tumors now include thyroid follicular nodular lesions. A newly added category previously termed "borderline tumors" have been revised to low-risk follicular cell-derived tumors, which encompass non-invasive follicular thyroid neoplasm with papillary-like nuclear features, thyroid tumors of uncertain malignant potential, and hyalinizing trabecular tumors. The new WHO classification stratifies malignant follicular cell-derived tumors based on molecular characteristics and invasiveness: papillary thyroid carcinoma (PTC) with various histological subtypes represents BRAF-like malignancies; invasive encapsulated follicular variant PTC and follicular thyroid carcinoma represent RAS-like malignancies. Oncocytic carcinoma is now recognized as a distinct entity, specifically referring to tumors composed of ≥75% oncocytic follicular cells lacking PTC nuclear features and high-grade characteristics (necrosis and mitotic figures ≥3/2 mm²). A new category termed "high-grade follicular cell-derived thyroid carcinoma" has been added, encompassing traditional poorly differentiated thyroid carcinoma and differentiated high-grade thyroid carcinoma. Anaplastic thyroid carcinoma(ATC) remains the most undifferentiated type, with thyroid squamous cell carcinoma now classified as a subtype of ATC. The term "papillary thyroid microcarcinoma" is no longer recommended as a distinct subtype. Cribriform-morular thyroid carcinoma is no longer classified as a subtype of PTC, but is instead categorized as a tumor of uncertain histogenesis.

  • Original article
    HUA Zichen, MEI Yu, LI Chen, YAN Chao, YAN Min, ZHU Zhenggang, YAO Xuexin
    Journal of Surgery Concepts & Practice. 2025, 30(01): 41-46. https://doi.org/10.16139/j.1007-9610.2025.01.08

    Objective To investigate the rate of greater omentum metastasis in gastric cancer(GC). Methods General informations of patients with GC who underwent radical gastrectomy at Shanghai Ruijin Hospital in May 2020 were collected, and their clinicopathological characteristics were analyzed to find risk factors of greater omentum metastasis. Recurrence and survival were also assessed. Results A total of 59 patients with GC were included in the study, of which 2(3.4%) had greater omentum metastasis. One patient presented a pathological stage of pT4aN3bM0 and another ypT4bN1M0. The 3-year overall survival rate of patients in the study was 87.9%. Conclusions The rate of greater omentum metastasis was relatively low, and patients with greater omentum metastasis had an more advanced pathological stage. To further validate this clinical issue, a prospective randomized controlled clinical study should be conducted between radical gastrectomy with omentectomy and omentum-preserving radical gastrectomy.

  • Drive System Technique. 2025, 39(1): 7-12.
    总段对接过程中,多个对接小车需通过多轴协调运动实现对接面特征点的多目标位姿优化,以满足高精度和低应力要求。精确调整姿态的同时,保持结构稳定性和减少应力集中是关键挑战。为此,提出了一种基于液压驱动的运动控制系统和多机协同控制方法,实现了总段姿态的低应力自动调整。针对现有调姿机构在精度和应力控制方面的不足,设计了一款三自由度调整平台,能够精确调节总段的位置和姿态,防止因变形导致的精度损失。该平台利用液压驱动系统的高精度调节特性,实现精确且平稳的运动控制。在此基础上,进一步研究了多车协同控制方法,通过优化多个对接小车之间的协调运动,实现多轴方向上的同步调整,确保总段对接过程中各个特征点的精确对准。该系统已成功应用于多个重点型号的总段对接作业,显著提高了作业效率和准确性,确保了对接面的精确对接和低应力状态。
  • Engieering and Technology
    LIU Xinyue, SUN Weiming, HE Mengfan, FANG Yuan, DJOULDE Aristide, DING Wei, LIU Mei, MENG Lingjun, WANG Zhiming
    J Shanghai Jiaotong Univ Sci. 2025, 30(2): 209-219. https://doi.org/10.1007/s12204-024-2711-6
    The flexible strain sensor has found widespread application due to its excellent flexibility, extensibility,  and adaptability to various scenarios.  This type of sensors face challenges in direction identification owing to  strong coupling between the principal strain and transverse resistance.  In this study, a silver nanowires (AgNWs)/polydimethylsiloxane (PDMS) strain sensor was developed, using a filtration method for preparing the AgNWs film which was then combined with PDMS to create a unidirectional, highly sensitive, fast-responsive,  and linear flexible strain sensor.  When the grid width is 0.25 mm, the AgNWs/PDMS strain sensor demonstrates  an outstanding unidirectional sensitivity, with a strain response solely along the parallel direction of the grid  lines (noise ratio α ≈ 8%), and a fast reaction time of roughly 106.99 ms.  In the end, this sensor’s ability to  detect curvature was also demonstrated through LEDs, demonstrating its potential applications in various fields,  including automotive, medical, and wearable devices.
  • Engieering and Technology
    LIU Weihong , GUAN Dongyang , HUANG Qian , CHEN Liuyang, ZHANG Menglin
    J Shanghai Jiaotong Univ Sci. 2025, 30(2): 220-226. https://doi.org/10.1007/s12204-023-2621-z
    A Ka-band wideband microstrip-to-microstrip (MS-to-MS) vialess vertical transition on slotline multimode  resonator (MMR) is presented. The proposed transition mainly consists of a slotline MMR on the common  ground plane, and two microstrip (MS) lines facing each other at the top and third layers in the four-layered liquid  crystal polymer (LCP) substrate. In order to improve the bandwidth of the proposed transition, a U-shaped  branch is added to the top- and third-layer MS lines, separately. The slotline MMR can be properly excited by  setting the position of the U-shaped branch line. As such, a three-pole wideband vertical transition is obtained,  which shows a good transmission performance over a wide frequency range of 29.27—39.95 GHz. The three-pole  wideband vertical transition based on multilayer LCP substrate is designed, fabricated, and measured. Test results  indicate that a wide frequency range of 26.84—36.26 GHz can be obtained with return loss better than −10 dB  and insertion loss less than −3dB.
  • Engieering and Technology
    LIU Weihong, CHEN Yuan, HUANG Qian, LIU Qingran
    J Shanghai Jiaotong Univ Sci. 2025, 30(2): 227-232. https://doi.org/10.1007/s12204-023-2622-y
    Design of a miniaturized lumped-element bandpass filter in multilayer liquid crystal polymer technology  is proposed. Fractional bandwidth of the bandpass filter is 20%, operating at a center frequency of 500MHz. In  order to further reduce the size and improve the performance of the proposed filter, defected ground structure (DGS) has been implemented in the filter. Based on this structure, the volume of the inductor is reduced by 60% efficiently compared with the inductor without DGS, and the Q-factor is increased up to 257% compared  with the traditional multilayer spiral inductor. The measured results indicate that the designed filter has a very  sharp stopband, an insertion loss of 2.3 dB, and a return loss of 18.6 dB in the passband. The whole volume of  the fabricated filter is 0.032λg × 0.05λg × 0.000 75λg, where λg is the guided wavelength of the center frequency. The proposed filter is easily integrated into radio-frequency/microwave circuitry at a low manufacturing cost,  especially wireless communication.
  • WANG Haixiao
    Contemporary Foreign Languages Studies. 2025, 25(2): 23-33. https://doi.org/10.3969/j.issn.1674-8921.2025.02.002

    The rapid development of generative AI technology provides an important opportunity for innovation in College English textbooks. This article first reviews the development history of digital textbooks in China and analyzes the potential of generative AI in areas such as dynamic content generation, personalized learning support, multimodal resource integration, and optimization of classroom interactions. Based on the current needs of College English teaching and relevant literature, this paper proposes a framework for the development of novel intelligent digital textbooks in the era of generative AI. This framework includes eight dimensions: textbook structure, textbook form, learning experience, teaching activities, teaching content, cross-disciplinary integration, assessment and feedback, and quality assurance and ethical standards.

  • JU Yumei
    Contemporary Foreign Languages Studies. 2025, 25(2): 55-64. https://doi.org/10.3969/j.issn.1674-8921.2025.02.005

    National rhetoric is essentially a practice of constitutive rhetoric and is closely related to its core assumptions and areas of study. The construction of national rhetorical competence in the field of science and technology communication is an important part of national rhetoric, which directly determines the international communication effect of China’s science and technology development and the construction of national image. Starting from the perspective of constitutive rhetoric theory, this article analyzes three aspects related to the construction of national rhetorical competence in science and technology communication, including national rhetoric awareness, goals and strategies, and focuses on discussing the ways to implement national rhetorical strategies from three aspects: the value identification strategy of constructing a rhetorical ecology integrating science and technology and culture, the opposition identification strategy of challenging the “Western-centrism” discourse pattern, and the style identification strategy of creating a constructive journalism style with Chinese characteristics. In the current situation of global science and technology competition, the theoretical and practical research on national rhetorical competence in the field of science and technology communication will be further emphasized.

  • XU Jinfen, LI Juan
    Contemporary Foreign Languages Studies. 2025, 25(2): 125-137. https://doi.org/10.3969/j.issn.1674-8921.2025.02.011

    The present study conducts a systematic review of 76 articles related to teachers’ professional development in the context of digital intelligence in foreign language education from 2004 to 2024, aiming to provide insights into the current landscape. By employing the Latent Dirichlet Allocation (LDA) topic model and thematic analysis, the study explores the primary research focuses. Furthermore, it analyzes the types of technology along with their benefits and challenges. The results indicate that: (1) research on teachers’ professional development demonstrates an overall upward trend, despite periodic fluctuations; (2) research topics are diverse, covering various dimensions such as teachers’ knowledge, skills, practices, and training, but insufficiently address emotional aspects; (3) there is a tendency toward homogenization in research design, and the potential of data mining and analysis remains underutilized; (4) while technologies contribute significantly to teachers’ professional development, the dynamic changes in their empowering effects warrant further exploration. Finally, the study offers prospects for advancing teachers’ professional development in the digital intelligence process of foreign language education, aiming to promote its transformation and advancement.

  • Editorial
    XIE Xinsheng, HUANG Yulong, WANG Lixin
    Journal of Surgery Concepts & Practice. 2024, 29(06): 463-471. https://doi.org/10.16139/j.1007-9610.2024.06.01

    Currently, the treatment strategy for iliac venous thromboembolic disease has evolved from early approaches such as simple anticoagulation therapy, surgical thrombectomy, and venous return improvement to encompass multiple minimally invasive modalities including pharmacologic thrombolysis, catheter-directed thrombolysis (CDT), and mechanical thrombectomy. These advancements have demonstrated enhanced therapeutic efficacy and safety profiles. With the diversification of treatment modalities, the therapeutic concepts for venous thromboembolism (VTE) continue to be updated, establishing higher standards for treatment outcomes and safety. This article explored recent progress in the management of iliac venous thromboembolic disease, aiming to clarify the roles and efficacy of various treatment approaches in clinical practice while providing evidence-based treatment recommendation for clinicians. We anticipated further standardization of diagnostic and therapeutic protocols, along with increased emphasis on preventive measures, to safeguard vascular health in the general population.

  • Guideline and consensus
    CHENG Fang, ZHAO Futao, SHEN Xuemin, LI Jin, CHEN Xiangjun, WANG Guifang, LI Huilin, XUE Luan, QI Junyuan
    Journal of Internal Medicine Concepts & Practice. 2024, 19(06): 357-362. https://doi.org/10.16138/j.1673-6087.2024.06.01

    Primary Sjögren syndrome (PSS) is an autoimmune disease characterized by lymphocytic infiltration of exocrine glands and other organs. PSS shows strong clinical heterogeneity, presents different degrees of topical and systemic damage, and multidisciplinary collaboration are required to develop PSS treatment strategies. However, our country currently has not unified diagnosis and treatment consensus for PSS. Based on domestic and foreign diagnosis and treatment experience, consensus and guideline, experts from multiple related disciplines achieved consensus using the nominal group technique, providing guidance and reference for standardized diagnosis and treatment of PSS.

  • Expert forum
    PEI Zhou, LUO Feihong
    Journal of Diagnostics Concepts & Practice. 2024, 23(05): 461-466. https://doi.org/10.16150/j.1671-2870.2024.05.001

    The global incidence of type 1 diabetes mellitus (T1DM) in children and adolescents aged 0-19 years is about 1 211.9/10 million, with an incidence rate of 149.5/1 million person-years. In China, the incidence of T1DM in children and adolescents aged 0-19 years is about 56/1 million, with an incidence rate of 6.1/1 million person-years. The incidence of type 2 diabetes mellitus (T2DM) in children and adolescents has been rising annually. Epidemiological data shows that the incidence of T2DM among adolescents in the United States increased from 34/100 000 in 2001 to 46/100 000 in 2009 and to 67/100 000 in 2017. In China, the incidence of pediatric T2DM has also shown a significant upward trend, rising from 4.1/100 000 in 1995 to 10.0/100 000 in 2010. The diagnostic criteria for pediatric diabetes in China follow the standards set by the World Health Organization in 2019. Diabetes subtypes related to children include T1DM, T2DM, mixed-type diabetes, and other specific types of diabetes. The typical clinical manifestations of adult diabetes are polydipsia, polyuria, polyphagia, and weight loss (the ‘three P’s and one less’). However, in children with T1DM, these symptoms are more pronounced, while T2DM may present more subtly. Traditional treatment for T1DM primarily involves insulin therapy, but it cannot fundamentally address the issue of impaired pancreatic function. Preventing or delaying β-cell damage and protecting the remaining pancreatic function have become new research directions in T1DM treatment. In addition to traditional insulin therapy and lifestyle interventions, new treatments such as immunotherapy, artificial pancreas, and stem cell transplantation have shown promising clinical results. These advances not only provide new directions for the future treatment of diabetes but also have the potential to transform diabetes from an incurable disease into a treatable one.

  • Guide interpretation
    LI Yanbing
    Journal of Diagnostics Concepts & Practice. 2024, 23(05): 467-473. https://doi.org/10.16150/j.1671-2870.2024.05.002

    Diabetes is a common chronic disease, which has caused a significant health and economic burden worldwide. Diabetes is highly heterogeneous. Accurate diagnosis and classification are the premises to achieve standardized and accurate treatment of diabetes and improve the clinical outcomes of patients. Recently, the American Diabetes Association (ADA) issued the 2024 Standards of Medical Care in Diabetes. In the chapter on diabetes diagnosis and classification, the latest developments have been taken into account, with recommended approaches for the differential diagnosis of atypical diabetes, screening, diagnosis, and follow-up processes of different types of diabetes. This article interprets this section of the guidelines to provide a reference for healthcare professionals in the endocrine field in China for the accurate diagnosis, classification, and individualized treatment of diabetes.

  • Academic trend at home and abroad
    FAN Bonan, LI Yan
    Journal of Diagnostics Concepts & Practice. 2024, 23(05): 474-483. https://doi.org/10.16150/j.1671-2870.2024.05.003

    The Global Burden of Disease Study 2021 (GBD 2021) analyzed 371 diseases and injuries using 100,983 data sources, estimating years lived with disability, years of life lost, disability-adjusted life years, and healthy life expectancy. From 1990 to 2019, the annual rate of change in global all-cause mortality ranged from -0.9% to 2.4%, while deaths increased by 10.8% and 7.5% in 2020 and 2021 respectively due to COVID-19. In 2021, COVID-19 was the second lea-ding cause of death globally, with a mortality rate of 94.0 per 100 000. The mortality rates of other major causes, such as ischemic heart disease and stroke were 108.7 and 87.4 per 100 000, respectively. Global life expectancy rose from 65.5 years in 1990 to 73.3 years in 2019 but dropped to 71.7 years in 2021 due to COVID-19, which reduced life expectancy by 2.2 years, significantly impacting the trend of health improvement. In China, GBD 2021 data shows a significant increase in life expectancy from 1990 to 2021: from 69.9 to 80.7 years for women and from 65.7 to 74.9 years for men. However, non-communicable diseases such as cardiovascular diseases, cancers, and chronic respiratory diseases remain major health threats. In 2021, these diseases had the highest burden among the top ten causes in China, with rising incidence and morta-lity rates. Major health risk factors in China include tobacco, hypertension, and dietary risks. This paper, through the systematic analysis of GBD 2021 data, reveals current trends in disease burden globally and in China, and proposes public health strategy recommendations. China should enhance chronic disease management, improve public health emergency responses, address health inequalities, and promote basic research and international cooperation to improve overall health levels.