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    Trends in global major disease burden and health conditions—interpretation of the Global Burden of Disease Study 1990-2021
    FAN Bonan, LI Yan
    Journal of Diagnostics Concepts & Practice    2024, 23 (05): 474-483.   DOI: 10.16150/j.1671-2870.2024.05.003
    Abstract5827)   HTML216)    PDF(pc) (3009KB)(11842)       Save

    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.

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    Interpretation of Chinese Guidelines for the Prevention and Management of Bronchial Asthma (2024 Edition)
    ZHOU Yan, ZHANG Min
    Journal of Diagnostics Concepts & Practice    2025, 24 (04): 415-422.   DOI: 10.16150/j.1671-2870.2025.04.008
    Abstract2074)   HTML92)    PDF(pc) (509KB)(9624)       Save

    According to the Global Burden of Disease (GBD) data for 2021, the global age-standardized prevalence of asthma is 3 340.1/100 000, with a total of about 260 million patients, a mortality rate of 5.2/100 000, and 436 000 deaths. A 2012-2015 survey conducted in China shows that the prevalence of wheezing-related asthma among people aged 20 and above is 4.2%, with a total of about 45.7 million patients. However, the diagnosis rate is only 28.8%, and the control rate is only 28.5%, far below the international level, highlighting the urgent need for better asthma management and intervention. In March 2024, the Chinese Thoracic Society (CTS) released the Guidelines for the Prevention and Management of Bronchial Asthma (2024 Edition) (hereinafter referred to as the "2024 Guidelines"). For diagnostic pathways, the 2024 Guidelines improve the diagnostic criteria for asthma, emphasizing the evidence for variable expiratory airflow (such as bronchodilator tests, provocation tests, etc.). A "presumptive diagnosis pathway" is proposed for primary care and resource-limited medical institutions to improve the diagnosis rate and avoid overtreatment. In terms of staging and classification, the concept of "clinical remission" is introduced, defined as being asymptomatic for ≥1 year without the need for systemic glucocorticoid therapy. The classification of "intermittent state" is eliminated, and asthma severity is now simplified into three levels—mild, moderate and severe—with a dynamic assessment model proposed. The assessment system newly includes a type 2 inflammatory phenotype assessment, recommending the measurement of biomarkers such as peripheral blood eosinophil count (EOS) and fractional exhaled nitric oxide (FeNO) to guide individualized treatment, while also emphasizing comorbidity screening and risk factor assessment. In terms of treatment strategies, a stepwise management approach is used for chronic persistent treatment, with inhaled corticosteroid (ICS)-formoterol recommended as the preferred reliever (Pathway 1) to reduce the risk of acute exacerbations. The management of severe asthma emphasizes the use of biological targeted drugs, such as anti-IgE and anti-interleukin (IL)-5 monoclonal antibodies, while the treatment of acute exacerbations is recommended based on the severity level. Despite the significant progress made in the 2024 Guidelines, challenges remain. Epidemiological data on asthma in China are outdated, highlighting the urgent need for nationwide surveys to reflect the latest disease burden. Diagnosis rates in primary care are low, and inflammation assessment and dynamic mana-gement are insufficient, requiring strengthened capacity building at the primary care level. Real-world data on biologics in China are limited, restricting their application in precision therapy. The application of information technology in asthma management is still at an exploratory stage, and technologies like 5G should be leveraged to enhance patient education and follow-up efficiency. In the future, asthma prevention and treatment in China need to further optimize strategies for early diagnosis and early treatment, dynamically identify inflammatory phenotypes, establish drug response prediction models, and promote AI-assisted diagnosis and treatment to achieve more precise management.

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    The Enlightenment for the Development of Anti-UAV Equipment from the Offensive and Defensive Operations of UAVs Between Russian and Ukrainian
    ZHANG Yaoyi, LI Ning
    Air & Space Defense    2024, 7 (3): 34-39.  
    Abstract1989)      PDF(pc) (924KB)(8322)       Save
    According to the offensive and defensive operations of UAVs (Unmanned Aerial Vehicles) in the conflict between Russia and Ukraine, the methods of countering new air threats represented by UAVs in the future were studied. By reviewing the overall situation of the UAVs employed by Russia and Ukraine, the methods of using various UAVs to build an integrated reconnaissance and offensive system on both sides were summarized. From the perspective of responding to the UAV threat, this paper elaborated on the overall overview of the anti-UAV equipment employed by both sides and summarized the methods of building an integrated anti-UAV system using various soft and hard killing methods. According to the practical experience of warfare, considering the development of strong hostile UAVs and anti-UAV equipment such as the US military, enlightenment and suggestions for the future development of anti-UAV equipment were proposed.
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    The Construction of Student-Centered, Harmonious Teacher-Student Relationships Driven by Educator Spirit
    XU Jinfen
    Contemporary Foreign Languages Studies    2024, 24 (4): 5-15.   DOI: 10.3969/j.issn.1674-8921.2024.04.001
    Abstract947)   HTML30)    PDF(pc) (1217KB)(6585)       Save

    Under the guidance of spirits of educators, this article firstly explores the contemporary significance and theoretical basis for the construction of harmonious teacher-student relationships. Then, based on the 14 student-centered principles proposed by the American Psychological Association and the semi-structured interview results with university teachers and students from different regions in China, six major characteristics of student-centered harmonious teacher-student relationships are extracted. Finally, guided by these characteristics, specific strategies for building student-centered harmonious relationships between foreign language teachers and students are proposed from five aspects: educational philosophy, teaching methods, learning environment, emotional support, and evaluation system. This article aims to provide references for foreign language teachers from both theoretical and practical perspectives and further promote the healthy development of foreign language education.

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    Two-Stage Optimal Dispatch for Integrated Energy System with Oxy-Combustion Based on Multi-Energy Flexibility Constraints
    PENG Chuxuan, BIAN Xiaoyan, JIN Haixiang, LIN Shunfu, XU Bo, ZHAO Jian
    Journal of Shanghai Jiao Tong University    2025, 59 (9): 1281-1291.   DOI: 10.16183/j.cnki.jsjtu.2023.487
    Abstract2187)   HTML20)    PDF(pc) (2004KB)(5882)       Save

    As one of the most promising carbon capture technologies for coal-fired power plants, oxy-fuel combustion provides a new solution for improving the flexibility of the integrated energy system (IES) and reducing carbon emissions. In this paper, a two-stage optimal dispatch strategy for the integrated energy system with oxy-fuel combustion units considering the constraints of multi-energy flexibility is proposed based on the intergration of oxy-fuel combustion technology and the optimal operation of the integrated energy system. First, a model of integrated energy system with oxy-fuel combustion (Oxy-IES) is established. Then, a matrix model of multi-energy flexibility constraints for Oxy-IES is proposed to reveal the supply and demand relationship of flexibility within the system. Finally, a two-stage optimization dispatch strategy for Oxy-IES is constructed, in which the output of each unit is optimized to minimize the daily operating cost of carbon trading in the day-ahead stage, while the rapid variable load capacity of the oxy-fuel combustion unit improves the flexibility of the system in the intraday stage. The simulation results of Oxy-IES show that the proposed strategy can improve the flexibility and economy performance of the IES while reducing carbon emissions.

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    Research Progress in Power Materials and Technology for Aerospace
    SHANG Yanxin, QU Wenjie, REN Xuening, LU Hongbo, DU Wei, LI Li, WU Feng, CHEN Renjie
    Air & Space Defense    2024, 7 (6): 12-28.  
    Abstract1890)      PDF(pc) (4146KB)(5293)       Save
    The aerospace power subsystem, known as its “energy heart”, is responsible for key tasks such as efficient storage and accurate conversion of electrical energy. Its operational stability affects the smooth operation and overall effectiveness of each subsystem of the spacecraft. The increasing complexity of space missions and the intensification of extreme space environments have led to the need for continuous technological innovation and performance upgrades of power systems. Based on this, in this study, the materials and technologies development trends of solar cells, chemical batteries and other devices were reviewed domestically and abroad from the perspective of extreme environments, including radiation, alternating temperatures and high vacuum. Besides, the key challenges of power devices in the extreme aerospace environment were analyzed, and the potential aerospace mission application prospects were envisioned. This review provides a reference and inspiration for promoting the research and development of advanced aerospace power materials.
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    Analysis and interpretation of the 2022 Global Cancer Statistics Report: cancer burden and epidemiological trends in China and the world
    WU Qi, FAN Bonan, LI Yan
    Journal of Diagnostics Concepts & Practice    2025, 24 (02): 135-145.   DOI: 10.16150/j.1671-2870.2025.02.004
    Abstract2926)   HTML168)    PDF(pc) (1203KB)(4894)       Save

    In February 2024, the International Agency for Research on Cancer (IARC) released the 2022 Global Cancer Statistics Report. In 2022, there were nearly 20 million new cancer cases and 9.7 million deaths. The report provides statistics on the incidence and mortality of 36 different types of cancer in 185 countries around the world, analyzing geographic, gender-based, and Human Development Index (HDI)-related differences. It also predicts the global burden of cancer disease by 2050. Demographic forecasts suggest that by 2050, the number of new cancer cases worldwide is expected to reach 35 million annually-an increase of 77% compared to 2022. Geographically, cancer incidence and mortality rates show significant regional disparities. In 2022, nearly half (49.2%) of the world's new cases and the majority (56.1%) of cancer deaths occurred in Asia. In terms of gender distribution, the overall cancer incidence and mortality rate among females were lower than those among males in 2022. With respect to HDI, the risk of developing cancer increases with higher HDI levels. In 2022, the top 5 newly diagnosed cancer cases worldwide are lung cancer, female breast cancer cancer, colorectal cancer, prostate cancer, gastric cancer in turn. There were nearly 2.5 million new lung cancer cases and over 1.8 million related deaths. Breast cancer in women accounted for 2.3 million new cases and nearly 670 000 deaths. Colorectal cancer, including anal cancer, had more than 1.9 million new cases and over 900 000 deaths. Prostate cancer recorded 1.5 million new cases and nearly 400 000 deaths. There were nearly 970 000 newly-diagnosed cases of gastric cancer and 660 000 related deaths. In China in 2022, lung cancer still ranks first in the cancer incidence spectrum in China, accounting for 22.0% of the total new cases of cancer in China. This proportion has further increased compared to 2018 data (17.9%), followed by colorectal cancer (10.7%), thyroid cancer (9.7%), liver cancer (7.6%), and gastric cancer (7.4%), which account for more than half of the total new cases in China (57.4%). This paper reviews the data sources and statistical methods used in the report, interprets the epidemiological trends of major cancer types, and analyzes the incidence and burden of major cancers prevalent in China, provi-ding an overview of their disease burden and epidemiological trends.

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    Review of Multi-Sensor Data Fusion for Target Tracking
    TANG Shengjing, WANG Taiyan, ZHAO Ganglian, GUO Jie, LI Jiali, YIN Hang(
    Air & Space Defense    2024, 7 (4): 18-29.  
    Abstract1761)      PDF(pc) (1875KB)(4507)       Save
    With the increasing complexity of target-tracking scenarios, single-sensor detection systems cannot satisfy the practical requirements of target tracking. Multi-sensor data fusion technology has thus become an important solution for target tracking in complex scenarios. This paper reviewed the basic principles and research status of two key processes in multi-sensor data fusion: data association and estimating fusion. The relevant research on applying artificial intelligence technologies such as neural networks and reinforcement learning in multi-sensor data fusion was introduced. Finally, the development of multi-sensordata fusion methods in the field of target tracking was prospected.
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    Research Progress of Resin Matrix Composites for Air Defense Missiles
    CHEN Xue, ZHU Longyu, XUE Qinyang, WANG Kexiang, HAN Zhilin, LUO Chuyang
    Air & Space Defense    2024, 7 (6): 76-95.  
    Abstract2129)      PDF(pc) (3146KB)(4171)       Save
    Lightweight design is a dominant development trend in advanced air defense missile systems. Resin matrix composites, with the advantages of being lightweight, high strength, high-temperature resistant, corrosion-resistant, and designable, play a key role in promoting the lightweight design of missiles. This paper has reviewed the research progress and current applications of thermoset and thermoplastic composites in air defense missiles. It comprehensively provides an overview of the application progress and development prospects of resin matrix composites in typical missile components, offering insights into the future development of these materials.
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    Renewable Energy Consumption Strategies of Power System Integrated with Electric Vehicle Clusters Based on Load Alignment and Deep Reinforcement Learning
    LIU Yanhang, QIAO Ruyu, LIANG Nan, CHEN Yu, YU Kai, WU Hanxiao
    Journal of Shanghai Jiao Tong University    2025, 59 (10): 1464-1475.   DOI: 10.16183/j.cnki.jsjtu.2023.529
    Abstract2140)   HTML17)    PDF(pc) (3345KB)(4058)       Save

    As China accelerates the construction of power systems with renewable energy as the mainstay, the large-scale integration of renewables has led to prominent issues such as wind and light curtailment. To improve the utilization of new energy consumption in power systems, this paper proposes a novel renewable energy consumption method based on load alignment and deep reinforcement learning. First, it proposes a node load line formation model based on linearized power flow calculations, which can guide adjustable loads to shift the electricity consumption period, thereby promoting the improvement of new energy consumption. Unlike the direct current (DC) power flow model, the proposed alternating current (AC) model accounts for voltage constraints and other related constraints of the power system. Compared with other AC power flow models, this model linearizes all nonlinear constraints and has lower computational costs. Then, this paper constructs a market framework for load alignment mechanism. The framework involves three main entities: independent system operators, regional power grid sellers, and electric vehicle adjustable load aggregators. It also explores the solution for load alignment incentive prices using electric vehicle clusters as adjustable loads. As the solution of the load benchmark incentive price involves a master-slave game between three entities, conventional mathematical analysis methods face high complexity. Therefore, it employs deep reinforcement learning algorithm to solve the problem. The deep reinforcement learning algorithm takes the marginal electricity price of each node as state space, the load benchmark incentive price as action space, and the cost of regional power grid sellers as feedback. The agent can find the load line incentive price that maximizes the benefits of regional power grid sellers after continuous training. Finally, the example analysis shows that the load alignment mechanism not only effectively promotes the improvement of new energy consumption level, but also enhances the interests of independent system operators, regional power grid sellers, and electric vehicle aggregators. The results further confirm that the deep reinforcement learning algorithm maximizes the benefits of regional power grid sellers.

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    A Short-Term Carbon Emission Accounting Method for Power Industry Using Electricity Data Based on a Combined Model of CNN and LightGBM
    ZENG Jincan, HE Gengsheng, LI Yaowang, DU Ershun, ZHANG Ning, ZHU Haojun
    Journal of Shanghai Jiao Tong University    2025, 59 (6): 746-757.   DOI: 10.16183/j.cnki.jsjtu.2023.382
    Abstract4016)   HTML29)    PDF(pc) (6089KB)(3919)       Save

    The electric power industry plays a pivotal role in carbon emission control. Accurate and real-time accounting of carbon emissions in the power industry is essential for supporting the carbon reduction of the power industry. At present, the measurement of carbon emissions in the power industry relies mainly on direct measurement or the accounting methods, which often struggles to balance low measurement costs with real-time accuracy. Therefore, in this paper, the robust power data infrastructure in the power industry is leveraged and the correlation between electricity consumption and carbon emissions is explored to propose a short-term electricity-to-carbon method using machine learning methods based on historical data of electricity. This method utilizes convolutional neural networks (CNNs) for feature extraction, and light gradient boosting machine (LightGBM) for carbon emission estimation based on extracted features. Moreover, K-fold cross-validation is used in model training, with parameter optimization using grid search to enhance the generalization capability and robustness of the model. To validate the proposed method, it is compared with other machine learning models under the same data segmentation condition for daily and hourly data sets. The results indicate that the proposed model outperforms other models in both performance evaluation and the consistency between estimated and target values.

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    Research on the Current Status and Development of Foreign Patrol Air Defense Weapons
    MEI Zhiwei, YU Huimin, LIU Xiaolei, ZHANG Zilun, LING Li
    Air & Space Defense    2024, 7 (3): 40-45.  
    Abstract793)      PDF(pc) (7899KB)(3615)       Save
    The traditional cruise missiles have been typically used to carry out ground and sea combat missions. In recent years, under the continuous promotion of military requirements and technology, the application of cruise missiles in air defense operations has developed rapidly. Since the United States dominates the military power, it has launched a series of demonstration and verification projects using cruise air defense weapons, and a few of them have achieved operational combat capabilities, which could become an important part of the future air defense equipment system and profoundly change the future combat style. This paper has comprehensively analyzed the current development status of foreign cruise air defense weapons and sorted out the key technologies that need to be resolved. It then proposed the future development directions for patrol air defense weapons.
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    Interpretation of global stroke report data in 2025: gradient evolution and precise management of stroke burden
    TANG Chunhua, GUO Lu, ZHANG Lili
    Journal of Diagnostics Concepts & Practice    2025, 24 (05): 485-497.   DOI: 10.16150/j.1671-2870.2025.05.003
    Abstract2834)   HTML215)    PDF(pc) (777KB)(3565)       Save

    In 2021, there were 93.816 million prevalent cases of stroke worldwide [age-standardized prevalence rate(ASPR) 1 099/100 000], with 11.946 million new cases in that year [age-standardized incidence rate(ASIR) 142/100 000]. Among these new cases, ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) accounted for 65.3% (7.804 million), 28.8% (3.444 million), and 5.8% (0.697 million), respectively. In the same year, stroke caused 7.253 million deaths, accounting for 10.7% of all global deaths. Deaths caused by IS, ICH, and SAH accounted for 49.5% (3.591 million), 45.6% (3.308 million), and 4.9% (353 000), respectively. In 2021, stroke remained the second leading cause of death worldwide, with its core disease burden indicator — disability-adjusted life years (DALYs) — exceeding 160 million, ranking third among all global total disease burdens. In terms of economic burden, the global direct medical costs and productivity losses caused by stroke reached 890 billion USD in 2021 (accounting for 0.66% of the global GDP), and are projected to exceed 1.8 trillion USD by 2050 if the current growth rate persists. The global stroke burden exhibits a dual trend of "increasing absolute numbers but decreasing age-standardized rates". Low- and middle-income countries bear most of the disease burden, and the incidence of stroke shows a coexistence of younger and older onset. In terms of risk factors, the burden of traditional behavior-related risks has decreased, while the attributable burden of metabolic and climate-related risks is rapidly increasing. China bears the heaviest stroke burden globally, characterized by a “four-high” pattern of “high incidence, high prevalence, medium-to-high mortality, and medium-to-high DALYs”, with significant urban-rural and regional disparities. This condition results from the combined effects of accelerated population aging and continuously increasing exposure to risk factors. In 2021, there were 26.335 million prevalent cases in China, with ASPR of 1 301.4/100 000. In 2021, there were 4.09 million new stroke cases in China (ASIR 204.8/100 000), accounting for 34.2% of all new global cases—far exceeding China's proportion of the world's population (about 20%). IS accounted for 67.8% [2.772 million cases, age-standardized incidence rate (ASIR) 135.8/100 000], and ICH accounted for 28.7% (1.173 million cases, ASIR 61.2/100 000). The annual total economic burden of stroke in China has exceeded 400 billion RMB, with its proportion in the national healthcare expenditure continuing to increase. Direct medical costs account for about 60%, while indirect costs (including productivity losses and caregiving expenses) account for 40%, imposing a dual pressure on both society and families. To address this challenge, a stratified precision prevention and control system centered on the coordination of "policy-healthcare-society" should be established, covering primordial, primary, and secondary prevention levels. Emphasis should be placed on cross-sector collaboration, data-driven approaches, and international experience sharing to achieve effective control of the stroke burden and promote global health equity.

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    Corpus Assisted Approach to Discourse Analysis of Textbooks: A Case Study of College English Textbooks
    PAN Chengjun
    Contemporary Foreign Languages Studies    2024, 24 (4): 83-94.   DOI: 10.3969/j.issn.1674-8921.2024.04.008
    Abstract717)   HTML22)    PDF(pc) (1525KB)(3405)       Save

    This paper adopts the methods of combining critical discourse analysis with corpus linguistics, quantitative and qualitative comparison between local textbooks and global textbooks, discusses cultural representation in College English textbooks, and analyzes its impact on cultural representation from the perspective of register type and language characteristics, so as to clarify the differences in structural features and social attributes of language textbooks under different social and cultural backgrounds and guiding ideology. The results show that the local materials reflect the relational thinking of Chinese philosophical thought in terms of subject matter and help to construct foreign language learners’ identities by bringing them closer to learners through dialogical genres and micro-level linguistic features, thereby recontextualizing the language materials in the local materials. On the other hand, local textbooks can be further expanded in terms of subject matter, knowledge, and international perspectives, and they also need to work on how to build China’s image and tell China’s story at the level of national consciousness. This study has implications for the writing, evaluation, and adaptation of foreign language textbooks in the new era.

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    Research on Development and Combat System of Air Defense Suppression Equipment
    XIONG Jian, ZHANG Shunjia, WANG Shichao, KANG Zhenliang, ZHENG Xinyi
    Air & Space Defense    2024, 7 (4): 73-80.  
    Abstract663)      PDF(pc) (2837KB)(3309)       Save
    The modern air battlefield environment is increasingly showing high complexity and high confrontation, and the importance of air defense suppression operations in air control cannot be overstated. Firstly, this paper has reviewed the composition of equipment in U.S. and Russian advanced air defense systems. Based on the Observe-Orient-Decide-Act ring theory, the US military air defense suppression is decomposed and analyzed. Then, the advanced air defense suppression weapons such as anti-radiation missiles, anti-radiation UAVs and electronic warfare aircraft were elaborated. The typical combat styles and tactics were summarized by referring to the combat cases of air defense suppression in modern wars. Finally, focusing on the technical difficulties faced by air defense suppression weapons and the development trends of combat strategies, development suggestions were proposed in the aspects of weapon platform development, collaborative networking technology, and systematic operations. This study presents significant reference in the construction of China’s air defense suppression combat system.
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    Interpretation of 2024 American Diabetes Association’s Standards of Care in Diabetes — diabetes diagnosis and classification
    LI Yanbing
    Journal of Diagnostics Concepts & Practice    2024, 23 (05): 467-473.   DOI: 10.16150/j.1671-2870.2024.05.002
    Abstract2059)   HTML72)    PDF(pc) (932KB)(3295)       Save

    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.

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    Detection of Roadside Vehicle Parking Violations Under Random Horizontal Camera Condition
    ZHAN Zehui, ZHONG Ming’en, YUAN Bingan, TAN Jiawei, FAN Kang
    Journal of Shanghai Jiao Tong University    2025, 59 (10): 1568-1580.   DOI: 10.16183/j.cnki.jsjtu.2023.578
    Abstract1054)   HTML32)    PDF(pc) (46166KB)(3288)       Save

    Investigation and punishment of vehicle parking violations is important in urban traffic management. Considering the time-consuming and labor-intensive nature of manual law enforcement, as well as the limited scope of fixed camera monitoring and detecting, exploring more flexible and efficient automatic detection methods has a great practical significance. Thus, a cruise detection technology is proposed, which is suitable for mobile carriers requiring no stopping and can be completed in a single pass. First, a vehicle parking violation image dataset named XMUT-VPI is collected and constructed under the conditions of approximate horizontal views and random shooting angles, laying a data foundation for the research. Then, a multitask parking network (MTPN) is constructed as an encoder to extract the key element information required for stop violation judgment. With the aid of the self-designed deformable large kernel feature aggregation module (DLKA-C2f) and cross-task interaction attention mechanism (CTIAM), a highest average detection accuracy of 90.3%, a minimum average positioning error of 4.4%, and a suboptimal average segmentation intersection ratio accuracy of 78.5% are achieved. Finally, an efficient decoder is designed to further extract the skeleton features of the parking space line and fit the visible area of the main parking space, which helps match the target vehicle and analyzes the positional condition between its tire ground-touching points and the main parking space. In addition, a judgment principle is provided for three typical behaviors of illegal parking, improper parking, and standardized parking. Experimental results show that the algorithm attains a comprehensive accuracy rate of 98.1% for vehicle parking violation detections across diverse complex interference scenarios, which outperforms existing mainstream methods and can provide technical supports for fully automate road cruise management of parking violatic.

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    Development Status and Trend of Countermeasure Technology of Airborne Active Protection System
    BI Peng, CHEN Yongpeng, ZHU Wensheng, ZHANG Chaofei, YUAN Dazhong, LYU Ruiheng
    Air & Space Defense    2024, 7 (4): 67-72.  
    Abstract475)      PDF(pc) (4097KB)(3281)       Save
    In the current battlefield, the establishment of the airborne terminal active protection system is a practical way to improve the survivability of military aircraft. Acting as the final action link of the strike chain, the damage unit’s effectiveness dominates the operation efficiency of the active protection system. Considering the antagonistic principle of the airborne active protection system, this paper reviewed the development status of the airborne active protection system, proposed a general design concept of building the integrated active protection system with soft and hard cooperation, and offered ideas and suggestions for developing active protection system countermeasure technology from the perspective of soft and hard damages.
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    Expert consensus on multidisciplinary diagnosis and treatment of primary Sjögren syndrome (2024 edition)
    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.   DOI: 10.16138/j.1673-6087.2024.06.01
    Abstract1588)   HTML63)    PDF(pc) (923KB)(3251)       Save

    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.

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    New Perspective on Translation Quality Assessment in Translation Teaching: An Industry Assessment Model
    CHENG Shuang, ZHANG Yushuang
    Contemporary Foreign Languages Studies    2024, 24 (5): 45-56.   DOI: 10.3969/j.issn.1674-8921.2024.05.005
    Abstract985)   HTML11)    PDF(pc) (1540KB)(3170)       Save
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    Interpretation of the 2025 NCCN clinical practice guidelines for non-small cell lung cancer (V1-V3)
    CAI Jiaodi, CHEN Guoqun, ZHANG Wenqin
    Journal of Diagnostics Concepts & Practice    2026, 25 (01): 37-43.   DOI: 10.16150/j.1671-2870.2026.01.006
    Abstract56)   HTML20)    PDF(pc) (849KB)(3150)       Save

    In 2022, there were approximately 2.5 million newly-diagnosed cases of lung cancer and 1.8 million deaths worldwide. In China, there were about 1.060 6 million newly-diagnosed cases and 733 300 deaths from lung cancer. The incidence and mortality of lung cancer ranked first among malignant tumors in China and globally. Non-small cell lung cancer (NSCLC) accounts for about 85% of lung cancer cases. Biomarker testing is crucial for its treatment selection. From December 2024 to January 2025, the National Comprehensive Cancer Network (NCCN) successively released the 2025 first (V1), second (V2) and third (V3) versions of clinical practice guidelines for NSCLC. Some of the updates are of great significance in the field of lung cancer diagnosis and treatment. The main updates in V1 include initial treatment evaluation, biomarker tes-ting, optimization of treatment pathways for specific gene mutations, and the addition of emerging targeted therapeutic drugs. Major newly added drugs include erdafitinib for the fibroblast growth factor receptor (FGFR) gene, zenocutuzumab for neuroregulatory protein 1 (NRG1) gene fusions, and trastuzumab deruxtecan for human epidermal growth factor receptor 2 (HER2) overexpression, providing patients with more treatment options. V2 adds ensartinib as the first-line preferred regimen for anaplastic lymphoma kinase (ALK) - rearranged NSCLC. V3 recommends nivolumab subcutaneous injection as an alternative to intravenous infusion for neoadjuvant system treatment. Despite the continuous emergence of new targets and therapies, how to achieve precise, accessible, and standardized testing and treatment remains the core challenge and optimization direction in future clinical practice.

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    Transient Modeling and Characteristic Comparative Analysis of Grid-Forming VSC with and Without Current Control
    REN Xiancheng, LI Shangzhi, LI Yingbiao, HU Jiabing, XU Taishan, BAO Yanhong, WU Feng
    Journal of Shanghai Jiao Tong University    2025, 59 (7): 971-982.   DOI: 10.16183/j.cnki.jsjtu.2023.416
    Abstract2531)   HTML26)    PDF(pc) (2357KB)(3101)       Save

    As the support capacity of renewable energy generation equipment for the power grid needs enhancement, grid-forming control has attracted extensive attention, among which the virtual synchronous generator (VSG) has emerged as a key research frontier and is already being applied in engineering demonstration. Voltage source converter (VSC) with VSG as the synchronization link can be classified into voltage and current dual loop control and direct voltage control according to whether there is a current control loop in the structure. The difference in the two control structures has a significant impact on the transient characteristics of VSC. To study the difference between transient characteristics of two kinds of VSCs, the transient models are developed based on the “power excitation-internal voltage response” model, and the formation mechanism of internal voltage and transient characteristics are comparatively analyzed. Since the VSG simulates the operation characteristics of the synchronous machine, the equivalent inertia and equivalent damping of the VSC are analytically obtained at the electromechanical scale, and their transient behaviors are compared. It is found that the equivalent inertia and damping of a VSC with direct voltage control remain constant, while those of a VSC with voltage and current dual loop control exhibit time-varying characteristics and are numerically smaller than of the direct voltage control system. Finally, the validity of the theoretical analysis is confirmed by electromagnetic transient simulation.

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    A Comparative Study of Translator Styles in the English Translations of The Three-Body Trilogy from the Perspective of Transknowletology
    JIN Shengxi, LI Haoyu
    Contemporary Foreign Languages Studies    2024, 24 (4): 145-157.   DOI: 10.3969/j.issn.1674-8921.2024.04.013
    Abstract880)   HTML24)    PDF(pc) (1350KB)(3088)       Save

    From the perspective of Transknowletology, the paper conducts a comparative analysis of the translator styles exhibited by Ken Liu and Joel Martinsen in the process of globalizing and reconstructing local Chinese science fiction knowledge. The study constructs a self-built corpus of the English translations ofThe Three-Body Problem and The Dark Forest and employs Multidimensional Analysis method combined with text close reading. It is found that both translators adhere to the general organizational form of knowledge typical to science fiction literature, yet significant differences exist in terms of narrative concerns and informational elaboration in the two translations. The fundamental cause of these stylistic differences lies in their distinct translation philosophies: Ken Liu leans towards “cross-linguistic modulation and intercultural dialogue in knowledge translation”, while Joel Martinsen is more inclined towards “translation as an intermediary for knowledge world-sharing”.

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    Concept of Future Intelligent Kill Web
    RUAN Kaizhi, SUN Xuean, TONG Yun , LIANG Shuo, XU Tianyang
    Air & Space Defense    2024, 7 (3): 27-33.  
    Abstract1368)      PDF(pc) (2786KB)(3056)       Save
    The battlefield among great power wars drives the direction of high dynamic and high intensity. A single weapon system or its kill chain is difficult to adapt to future wars. As a new operational concept with high dynamics and high flexibility, the kill web has high self-adaptability, high organization and toughness. Through the extremely fast response speed, the commander can complete the combat groupings and the command control, which significantly enhances the decision-making efficiency. Firstly, this paper conducted research aiming at the combat concept of the kill web. Then, it discussed and analyzed the background of the kill chain, the transition from chain to web, basic concepts, typical cases and key technologies. Finally, utilizing intelligent technology, the paper summarized the concept of a future intelligent kill web.
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    Interpretation of key points in 2025 KDIGO Clinical Practice Guideline for the Evaluation,Management,and Treatment of Autosomal Dominant Polycystic Kidney Disease
    WU Shuangcheng, YU Shengqiang
    Journal of Diagnostics Concepts & Practice    2025, 24 (03): 255-262.   DOI: 10.16150/j.1671-2870.2025.03.003
    Abstract890)   HTML29)    PDF(pc) (1343KB)(2936)       Save

    Autosomal dominant polycystic kidney disease (ADPKD) is one of the most common hereditary renal cystic disorders and a major cause of end-stage renal disease requiring renal replacement therapy. In February 2025, Kidney Disease: Improving Global Outcomes (KDIGO) released the first clinical practice guideline specifically for ADPKD entitled "KDIGO Clinical Practice Guideline for the Evaluation, Management, and Treatment of Autosomal Dominant Polycystic Kidney Disease". The guideline comprises 10 chapters covering nomenclature, diagnosis, prognosis, and prevalence of ADPKD; renal manifestations; management and progression of chronic kidney disease, renal failure, and renal replacement therapy; treatments to delay renal disease progression; polycystic liver disease; intracranial aneurysms and other extrarenal manifestations; lifestyle and psychosocial considerations; pregnancy and reproductive problems; pediatric problems; and approaches to ADPKD patient management. It highlights early diagnosis, risk stratification, integrated management, and application of the new drug tolvaptan. Additionally, the guideline introduces a new nomenclature system based on pathogenic genes for the first time, along with more stringent blood pressure management plans. By integrating guideline highlights, evidence-based medicine, and China's clinical practice, this study interprets two key clinical issues in the updated guideline: "early diagnosis and risk stratification of ADPKD" and "treatment and daily management of kidney-related symptoms." A thorough analysis of the guideline's implications and limitations is conducted, aiming to promote standardized diagnosis and therapy for ADPKD.

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    An Evolutionary Game Approach to Incentive Mechanism of Vehicle-to-Grid
    PAN Yi, WANG Mingshen, MIAO Huiyu, YUAN Xiaodong, HAN Huachun
    Journal of Shanghai Jiao Tong University    2025, 59 (11): 1637-1646.   DOI: 10.16183/j.cnki.jsjtu.2023.603
    Abstract2051)   HTML20)    PDF(pc) (4079KB)(2799)       Save

    Electric vehicles (EVs) can provide significant support for the flexible operation of power systems, in which vehicle-to-grid (V2G) mode is an important way for EVs to participate in the frequency and voltage regulation of power grids. However, the commercialization of V2G has experienced slow progress to date, and the lack of an effective market operation mechanism makes it difficult for large-scale EVs to participate in the ancillary services of the grid. Therefore, a novel evolutionary game model is proposed with the participation of the electricity regulatory commission, power grid company, and EVs and the impact of the strategic choices of the three parties on the operation of the V2G market is explored to identify the subsidy and pricing mechanisms for the government to facilitate the long-term evolution of the V2G. First, replicator dynamic equations for the game are established to investigate the stability of multiple strategy equilibrium points in the three-party evolutionary game. Then, the Lyapunov stability theory is employed to analyze the stability of these equilibrium points and to determine the subsidy amount to promote V2G development. Next, a simulation analysis is conducted on the actual electricity price data from Shanghai in China, which quantitatively identified the government subsidy coefficient range and electricity price range to incentivize EV participation in the V2G model. The simulation results provide theoretical support for the electricity regulatory commission and power grid company in formulating subsidy and pricing strategies.

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    Deep Learning and Knowledge Infusion:An Inquiry into Path Construction for a Translation-Technology Teaching Model
    DAI Guangrong, SHEN Siyi, HUANG Dongliang
    Contemporary Foreign Languages Studies    2025, 25 (1): 125-138.   DOI: 10.3969/j.issn.1674-8921.2025.01.012
    Abstract735)   HTML4)    PDF(pc) (1420KB)(2745)       Save

    In the era of Language Intelligence, translation pedagogy ushers into a more diverse and complex landscape, knowledge within this system broadens deeper than ever, but students’ learning didn’t go to depth with the development of technology. The shallow learning-based education model is no longer suitable for the current translation pedagogy and its knowledge translation production and spreading. This paper aims to explore innovative pathways to address the predicament in talent cultivation. With Transknowletology as its core, this paper elucidates the concept, content and scope of deep learning and puts forward the model for translation technology education combined with deep learning and knowledge system. Lastly, this paper attempts to construct an efficient and scientific path of enhancing translation technological thinking skills, in a bid to enhance the knowledge translation development and acceptance.

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    Application and research prospects of artificial intelligence in breast cancer pathological diagnosis
    DA Qian, RUAN Miao, FEI Xiaochun, WANG Chaofu
    Journal of Surgery Concepts & Practice    2024, 29 (05): 389-395.   DOI: 10.16139/j.1007-9610.2024.05.04
    Abstract1016)   HTML75)    PDF(pc) (1217KB)(2736)       Save

    Breast cancer is one of the most common cancers affecting women globally. With the advent of digital pathology slide scanners and the continuous evolution of deep learning algorithms, there has been a significant advancement in the application of artificial intelligence (AI) in the diagnosis and treatment of breast cancer. This article provided an overview of the current research and application status of AI in breast cancer pathological diagnosis, and summarized the challenges encountered as well as future directions in this field.

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    Conspiracy of Narrative and Theory: The Implicit Non-narrative Process in Nabokov’s Novels
    ZHANG Qiong
    Contemporary Foreign Languages Studies    2024, 24 (6): 147-157.   DOI: 10.3969/j.issn.1674-8921.2024.06.013
    Abstract399)   HTML3)    PDF(pc) (1615KB)(2714)       Save

    In his novels, Nabokov employs variations, alternative texts, symbols and metaphors to stimulate diverse thinking. By intertextuality and parodying classics, he breaks through the enclosed semantic field, with hidden narrative, discourse and plots constructing compound meanings. In parallel with the plot and resonate with each other. They differ from the explicit juxtaposed clues, fragmented subtexts, and the“implied author”affecting readers. Instead, it is more appropriate to refer them as “processes.” In narrative interspersed with commentary, the narration and commentary are independent and corresponding to each other only in fragments. However, Nabokov’s implicit non-narrative processes are embedded within the plot, latent in the form of story props, structural elements, line content, voiceovers, developing with the narrative and jointly contributing to the achievement of the creative theme.

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    Research progress of Hashimoto thyroiditis
    TIAN Limin, FENG Jing
    Journal of Internal Medicine Concepts & Practice    2024, 19 (04): 217-223.   DOI: 10.16138/j.1673-6087.2024.04.01
    Abstract2896)   HTML81)    PDF(pc) (973KB)(2612)       Save

    Hashimoto thyroiditis (HT) is a very common organic autoimmune thyroid disease, and its incidence is increasing year by year. It not only causes hypothyroidism in clinical practice, but also has many connections with a variety of immune diseases, endocrine diseases, rheumatic diseases and thyroid cancer. Although the exact etiology of HT has not been fully clarified, the mainstream treatment is still based on management and alternative treatment of hypothyroidism. However, as the research further deepens, more clinical variants have been gradually discovered, more and more factors have been found to be related to the onset of HT, and new discoveries have been made in treatment methods. This article reviews the research progress on clinical manifestations, pathological features, diagnosis, pathogenesis, relationship with other diseases and treatment of HT.

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    Cascade Sliding Mode Decoupling Control of Coupled Inductor Single-Input Dual-Output Buck Converter Based on Super-Twisting Extend State Observer
    HUANG JinFeng, ZHANG Qian
    Journal of Shanghai Jiao Tong University    2025, 59 (5): 592-604.   DOI: 10.16183/j.cnki.jsjtu.2023.349
    Abstract2182)   HTML5)    PDF(pc) (4220KB)(2607)       Save

    To address the coupling effect between the output branches of the coupled inductor single-input dual-output (CI-SIDO) Buck converter, which leads to the cross-influence and thus affects the dynamic performance of the system, a cascaded sliding mode decoupling control strategy based on the super-twisting extend state observer (ST-ESO) is proposed. First, a state-space averaging model of the CI-SIDO Buck converter is established. Then, the coupling terms, internal perturbations, and unmodeled parts in the inner and outer loops of the converter are estimated by using the ST-ESO with a fast-convergence property, which are regarded as the total perturbations in the inner and outer loops. Next, the total perturbation in the inner and outer loops is compensated by using a super-twisting sliding mode controller to achieve the decoupling of the system and ensure the robustness of the system and the stability of the output voltage. Furthermore, the stability of the super-twisting extend state observer and super-twisting sliding mode controller is analyzed using the Lyapunov theory, providing theoretical verification of the feasibility of the control strategy. Finally, the proposed control strategy is experimentally validated on the experimental platform. The results show that the proposed control strategy realizes the decoupling of the system, suppresses the cross-influence and improves the dynamic performance of the system.

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    Overview of the Development of Flexible Ocean CTD Sensors
    LI Jihao1, LIN Guanying2, WANG Nuansheng3, LI Yang3, LI Junyang1
    Ocean Engineering Equipment and Technology    2024, 11 (3): 69-77.   DOI: 10.12087/oeet.2095-7297.2024.03.11
    Abstract849)      PDF(pc) (5779KB)(2594)       Save
    Marine hydrological information plays a significant role in development and exploration of marine resources. Temperature, salinity and depth are fundamental elements of marine hydrology. Monitoring of marine temperature, salinity and depth data plays an important role in the development and utilization of marine resources. The conductivity temperature depth profiler (CTD) is the main instrument for observing seawater temperature and salinity profiles. By using CTD sensors, parameters such as temperature and conductivity of seawater at different depths can be measured. In recent years, flexible electronic sensors have demonstrated great potential for application due to their excellent stretchability and easy attachment, which not only achieve the sensing performance of traditional rigid sensors to a certain extent, but also compensate for the shortcomings of traditional sensors such as large volume and weight. This review introduces the research progress of flexible ocean CTD sensors in recent years, mainly including the working mechanism and classification, common materials, manufacturing processes of flexible sensors, and analyzes the structure, performance, and application platform of existing flexible ocean CTD sensors. Finally, the development of flexible ocean CTD sensors is prospected.
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    Future Challenges, Current Status, and Development Direction of Anti-Radiation Missiles
    Future Challenges, Current Status, and Development Direction of Anti-Radiation Missiles
    Air & Space Defense    2024, 7 (4): 38-46.  
    Abstract535)      PDF(pc) (8057KB)(2571)       Save
    Currently, the integrated air defense system has been well developed, and is forming a multi-domain network. The suppression of enemy air defense (SEAD) missions in the future will face more complex electromagnetic environments, radar equipment with upgraded capabilities, and various countermeasures. Under this background, this paper summarized the latest development status of major foreign anti-radiation missiles and analyzed the tactical evolution trend of anti-radiation missiles in performing SEAD missions. Based on the above studies, the future development directions of the anti-radiation missile including systematization, intelligent, multi-mission, low-cost, multi-mode composite guidance were prospected, giving useful reference for strengthening the construction of anti-radiation missile equipment and improving the SEAD combat capability.
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    Online Steady-State Scheduling of New Power Systems Based on Hierarchical Reinforcement Learning
    ZHAO Yingying, QIU Yue, ZHU Tianchen, LI Fan, SU Yun, TAI Zhenying, SUN Qingyun, FAN Hang
    Journal of Shanghai Jiao Tong University    2025, 59 (3): 400-412.   DOI: 10.16183/j.cnki.jsjtu.2023.344
    Abstract3074)   HTML12)    PDF(pc) (4192KB)(2526)       Save

    With the construction of new power systems, the stochasticity of high-proportion renewable energy significantly increases the uncertainty in the operation of the power grid, posing severe challenges to its safe, stable, and economically efficient operation. Data-driven artificial intelligence methods, such as deep reinforcement learning, are becoming increasingly important for regulating and assisting decision-making in the power grid in the new power system. However, current online scheduling algorithms based on deep reinforcement learning still face challenges in modeling the high-dimensional decision space and optimizing scheduling strategies, resulting in low model search efficiency and slow convergence. Therefore, a novel online steady-state scheduling method is proposed for the new power system based on hierarchical reinforcement learning, which reduces the decision space by adaptively selecting key nodes for adjustment. In addition, a state context-aware module based on gated recurrent units is introduced to model the high-dimensional environmental state, and a model with the optimization objectives of comprehensive operating costs, energy consumption, and over-limit conditions is constructed considering various operational constraints. The effectiveness of the proposed algorithm is thoroughly validated through experiments on three standard test cases, including IEEE-118, L2RPN-WCCI-2022, and SG-126.

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    Research Progress in Antioxidation of Refractory High Entropy Alloys at High Temperatures
    CHEN Qiang, ZHU Jinwei, ZHAO Yuchen, LIU Wei, ZHANG Xiaobin, WU Yuan, LIU Xiongjun, WANG Hui, LYU Zhaoping
    Air & Space Defense    2024, 7 (6): 96-103.  
    Abstract1539)      PDF(pc) (1140KB)(2506)       Save
    High entropy alloys have been newly developed in recent years, among which the refractory high entropy alloys obtain excellent high-temperature mechanical properties, thus showing great potential application as structural materials at ultra-high temperatures. However, their low oxidation resistance at high temperatures limits the practical engineering applications. The conventional way to enhance oxidation resistance is alloying elements such as Al, Cr, Si and so on, but the additional amount is usually restricted by other factors, which greatly limits the oxidation resistance performance. The multi-component characteristics of high-entropy alloys allow them to be more likely to alloy more oxidation resistance-promoting elements. In this paper, the recent progress in improving the oxidation resistance of high-entropy alloys was reviewed. The approaches to improve the oxidation resistance of refractory high-entropy alloys were prospected via adding Al, Cr and Si elements and the formation of antioxidant coatings.
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    Progress in research methods of studying the neural crest

    JIANG Leheng, YIN Ningbei
    Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (4): 469-.  
    Abstract768)      PDF(pc) (993KB)(2504)       Save
    The neural crest is a migratory, multipotent stem cell population during vertebrate embryogenesis, and lineage tracing is the focus of its research. Over the 150 years since its first discovery, understanding of the neural crest has gone through a transition from morphological observations to single-cell level. In this paper, important approaches applied to study the neural crest were reviewed including radioisotope labeling, chimeras, vital dye labeling, in vitro clonal analysis, conditional genetic recombination and single-cell sequencing.
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    Foreign Language Teaching and Professional Development of Foreign Language Teachers in the Era of AI: Challenges, Identity Tensions and Solutions
    XU Yueting, GU Yue
    Contemporary Foreign Languages Studies    2025, 25 (1): 60-72.   DOI: 10.3969/j.issn.1674-8921.2025.01.007
    Abstract1680)   HTML19)    PDF(pc) (1301KB)(2482)       Save

    Artificial intelligence (AI) represented by ChatGPT can not only promote learners to learn foreign languages but also improve teachers’ work efficiency and reduce their work burden. However, the educational revolution triggered by ChatGPT brings challenges to foreign language teaching and results in identity tensions to foreign language teachers. By reviewing research on the application of AI in the field of foreign language teaching and language teacher identity, this paper analyses challenges of foreign language teaching and teachers, identity tensions and solutions, and puts forward corresponding suggestions from three aspects, including teachers, schools, and government. This paper not only provides theoretical support and practical guidance for the implementation of AI-assisted teaching in the field of foreign language education but also has enlightenment for other subjects in dealing with teacher identity tensions and exploring the path of deep integration of AI and education.

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    From Kill Chain to Kill Web: A Survey on Modeling, Evaluation, and Optimization
    WANG Chaochen, JIANG Hongru, WANG Buli, XIA Qiaowei, ZHANG Xianchun
    Air & Space Defense    2025, 8 (4): 1-8.  
    Abstract2958)      PDF(pc) (992KB)(2461)       Save
    This paper comprehensively and systematically analyzed the theoretical evolution, model construction, effectiveness evaluation, and optimization methodologies of kill chains and webs. First, the fundamental distinctions between kill chains and kill webs were introduced via conceptual comparative analysis. Then, from the perspective of four key modeling challenges: structured information representation, cooperative system optimization, dynamic adaptability, and intelligent decision-making, the construction mechanisms and technological breakthroughs of various models were investigated. Quantitative evaluation methods for key dimensions, including survivability, resilience, and node importance, were summarized. Following this, strategies for dynamic reconstruction optimization and multi-objective conflict resolution were studied. Finally, future development trends of kill chains and kill webs were projected.
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    Capacity Planning and Operational Optimization for Low-Carbon Data Center Integrated Energy System Considering Exergy Efficiency
    LIN Jiayu, HAN Juntao, WANG Yongzhen, HAN Kai, HAN Yibo, LI Jian
    Journal of Shanghai Jiao Tong University    2025, 59 (9): 1327-1337.   DOI: 10.16183/j.cnki.jsjtu.2023.528
    Abstract2654)   HTML11)    PDF(pc) (3820KB)(2439)       Save

    With the rapid development of the digital economy, the energy consumption and carbon emissions of data centers (DCs) have significantly increased. In recent years, the construction of data center integrated energy systems (DC-IES) has emerged as one of the critical trends in energy conservation and emission reduction for DCs under the global net-zero emission initiative. To support the planning and construction of low-carbon DC-IES, this paper proposes a multi-objective optimization model for capacity allocation and operational planning of DC-IES, integrating energy and economic considerations with a focus on low-carbon performance. Based on the “quality” analysis method of exergy from the second law of thermodynamics, the model proposed comprehensively accounts for the dynamic exergy efficient characteristics of energy conversion devices under varying load conditions, revealing the energy flow distribution characteristics of DC-IES under different objectives. The computational results indicate that compared with the optimization scheme assuming constant equipment efficiency, the scheme considering dynamic equipment efficiency reduces energy loss rate, economic cost, and carbon emissions by 2.6%, 1.9%, and 4.8%, respectively, demonstrating clear advantages. Moreover, compared with the economically optimal scheme, the multi-objective optimization scheme significantly reduces carbon emissions and energy loss rate of the DC-IES by 22.72% and 20.73%, respectively. Furthermore, compared to the scheme scenarios with the minimum exergy loss rate and lowest carbon emissions, the multi-objective optimization scheme reduces economic costs by 54.54% and 60.78%, respectively. Compared with the scheme relying solely on grid electricity supply, the multi-objective optimization scheme that regards the DC as an integrated energy system can reduce carbon emissions by 40.97%.

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    Human-Machine Collaborative Intelligent Writings: Its Evolution and Implications
    LI Jingjie, CHEN Qiuyan
    Contemporary Foreign Languages Studies    2025, 25 (1): 73-83.   DOI: 10.3969/j.issn.1674-8921.2025.01.008
    Abstract1179)   HTML34)    PDF(pc) (1263KB)(2439)       Save

    Artificially intelligent writing has become an irreversible trend. This article, from the perspective of human-machine collaboration, provides an assessment and comparison of artificial intelligence writing systems in three stages: the emergence stage of AI writing, the stage of diversified exploration, and the stage of comprehensive development. It analyzes the characteristics and development trends of human-machine collaboration in intelligent writing systems at different stages. Building upon this analysis, it discusses the progress, issues, and implications of human-machine collaborative intelligent writing systems in academic English writing and teaching in terms of the integration of writing assistance and revision assistance, dialogue-based interaction, comprehensive coverage of the writing process, and Man-Computer symbiosis.

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