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学者姓名：王大彪
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为解决深度学习分割算法在病灶的细节分割上存在漏判且模型参数量较大不利于实际应用的问题,提出一种基于改进的CG-Net的深度轻量化分割神经网络.在编码块加入改进高效金字塔拆分注意力模块和深度可分离卷积,以学习丰富多尺度全局特征;采用残差思想将注意力模块与编码块结合,提出高效金字塔语境引导模块,帮助网络学习全局和局部特征信息.在中山大学附属第六医院提供的腹部MRI图像数据库的结直肠肿瘤病灶分割实验中,验证了改进模型算法在分割精度和模型轻量化方面的有效性.
Keyword ：
医学图像分割 医学图像分割 注意力机制 注意力机制 深度可分离卷积 深度可分离卷积 深度学习 深度学习 结直肠癌 结直肠癌 编码解码网络 编码解码网络 轻量级 轻量级
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| GB/T 7714 | 李兰兰 , 胡益煌 , 王大彪 et al. CG-Net改进的结直肠癌病灶分割算法 [J]. | 计算机工程与设计 , 2024 , 45 (1) : 299-306 . |
| MLA | 李兰兰 et al. "CG-Net改进的结直肠癌病灶分割算法" . | 计算机工程与设计 45 . 1 (2024) : 299-306 . |
| APA | 李兰兰 , 胡益煌 , 王大彪 , 徐斌 , 李娟 . CG-Net改进的结直肠癌病灶分割算法 . | 计算机工程与设计 , 2024 , 45 (1) , 299-306 . |
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研究的目的是建立一个深度学习模型，用于进行直肠癌患者新辅助放化疗后的病理完全反应的预测。回顾性分析了99例直肠癌患者的MR影像资料，并按照训练组(71例)和测试组(28例)进行划分构成数据集。通过U-Net定位分割出肿瘤大致区域，在预测阶段通过改变神经网络卷积层数和切片大小得到了9个基础预测模型，并且利用权重分配法对预测得分进行修正。在验证组9个模型中，切片大小为256*256时，包含4个卷积层的模型整体性能最好，3折交叉验证中平均准确率、特异性和敏感性分别达到了0.714、0.717和0.708。研究构建的模型可以作为辅助工具对结直肠癌晚期患者对新辅助治疗的病理反应进行预测，预测精度较好，可为临床治疗提供参考。
Keyword ：
新辅助放化疗 新辅助放化疗 病理完全反应预测 病理完全反应预测 直肠癌 直肠癌 磁共振图像 磁共振图像 神经网络 神经网络
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| GB/T 7714 | 李兰兰 , 徐斌 , 李娟 et al. 基于权重分配的直肠癌病理完全反应预测算法 [J]. | 计算机仿真 , 2024 , 41 (04) : 314-319 . |
| MLA | 李兰兰 et al. "基于权重分配的直肠癌病理完全反应预测算法" . | 计算机仿真 41 . 04 (2024) : 314-319 . |
| APA | 李兰兰 , 徐斌 , 李娟 , 王大彪 . 基于权重分配的直肠癌病理完全反应预测算法 . | 计算机仿真 , 2024 , 41 (04) , 314-319 . |
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To meet the simultaneous needs of high temperature disinfection and freezing in the field of food processing, a new concept of combined heating and cooling transcritical CO2 system integrated with dedicated mechanical subcooling utilizing hydrocarbon mixture is proposed. The system performance in terms of thermodynamics, economy and environment is studied and compared with the baseline combined heating and cooling transcritical CO2 system and four traditional combined heating and cooling solutions, considering the influence of temperature glide and the heat transfer deterioration. The new proposed system is further optimized by using the machine learning method of artificial neural network and non-dominated sorting genetic algorithm. Multi-objective optimization is conducted considering the objective function of energy efficiency, initial capital cost and life cycle carbon emissions of the new system, to obtain the optimum components and concentration ratio of the hydrocarbon mixture. The results indicate the thermodynamic performance and environmental benefits of subcooling subsystem with hydrocarbon mixture are better than those of the pure system. In contrast to that using pure R290 and R601, the coefficient of performance is enhanced by 8.20 % and 8.13 % and the life cycle carbon emission is reduced by 8.54 % and 9.31 %, respectively, when R290/R601 (50/50) is used. However, the initial capital cost is 9.25 % and 10.23 % higher than that of pure R290 and R601, respectively. Finally, the hydrocarbon mixture corresponding to the optimal design point is R1270/R601a (53/47), the corresponding discharge pressure is 12.86 MPa, and the subcooling degree is 37.50 degrees C. This study can provide a theoretical reference for the application of CO2 refrigeration and heat pump technology.
Keyword ：
Combined heating and cooling Combined heating and cooling Dedicated mechanical subcooling Dedicated mechanical subcooling Hydrocarbon mixture Hydrocarbon mixture Machine learning Machine learning Multi-objective optimization Multi-objective optimization Transcritical CO2 Transcritical CO2
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| GB/T 7714 | Dai, Baomin , Wang, Qilong , Liu, Shengchun et al. Multi-objective optimization analysis of combined heating and cooling transcritical CO2 system integrated with mechanical subcooling utilizing hydrocarbon mixture based on machine learning [J]. | ENERGY CONVERSION AND MANAGEMENT , 2024 , 301 . |
| MLA | Dai, Baomin et al. "Multi-objective optimization analysis of combined heating and cooling transcritical CO2 system integrated with mechanical subcooling utilizing hydrocarbon mixture based on machine learning" . | ENERGY CONVERSION AND MANAGEMENT 301 (2024) . |
| APA | Dai, Baomin , Wang, Qilong , Liu, Shengchun , Zhang, Jianing , Wang, Yabo , Kong, Ziang et al. Multi-objective optimization analysis of combined heating and cooling transcritical CO2 system integrated with mechanical subcooling utilizing hydrocarbon mixture based on machine learning . | ENERGY CONVERSION AND MANAGEMENT , 2024 , 301 . |
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For the scope of commercial supermarkets, the demand for energy efficiency improvement and environmentallyfriendly working fluid of the refrigeration system is necessary. In this study, supermarket booster refrigeration system by using eco-friendly working fluid CO 2 /halogenated alkene (HA) mixture is proposed, and the mixture used in systems with two evaporation temperatures and operating modes affected by ambient temperature are studied. The energy efficiency, economic performance and emission reduction potential of the whole life cycle are conducted to compare with the pure CO 2 booster refrigeration system. Furthermore, the influence of climate condition is discussed when used in 40 typical cities around the world. The results show the coefficient of performance (COP) of booster refrigeration system can be significantly improved by using CO 2 /HA mixtures. As the ambient temperature is 33 degrees C, the CO 2 /R1234yf (93/7) operates with the maximum COP of 1.367, which is 11.59 % higher than that of pure CO 2 . Using CO 2 /HA mixtures in the booster refrigeration system can significantly improve the exergy efficiency of system. Moreover, the system using CO 2 /HA mixtures has higher annual performance factor and lower life cycle cost (LCC) than pure CO 2 . LCC of the system using CO 2 /R1234yf (94/6) is the lowest, and the reduction rate is 3.06 - 5.59 %. Meanwhile, the life cycle carbon emissions of systems in different climatic regions using CO 2 /R1234yf can be reduced by 2.39 - 5.21 %. The booster refrigeration system adopting CO 2 /HA mixtures is a promising alternative solution for commercial supermarket refrigeration and energy -saving.
Keyword ：
CO2/Halogenated alkene mixture CO2/Halogenated alkene mixture Economic and environmental analysis Economic and environmental analysis Energy and exergy performance Energy and exergy performance Life cycle assessment Life cycle assessment Supermarket booster refrigeration system Supermarket booster refrigeration system
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| GB/T 7714 | Dai, Baomin , Wu, Tianhao , Liu, Shengchun et al. Assessment of booster refrigeration system with eco-friendly working fluid CO 2 /halogenated alkene (HA) mixture for supermarket application around the world: Energy conservation, cost saving, and emissions reduction potential [J]. | ENERGY , 2024 , 297 . |
| MLA | Dai, Baomin et al. "Assessment of booster refrigeration system with eco-friendly working fluid CO 2 /halogenated alkene (HA) mixture for supermarket application around the world: Energy conservation, cost saving, and emissions reduction potential" . | ENERGY 297 (2024) . |
| APA | Dai, Baomin , Wu, Tianhao , Liu, Shengchun , Zhang, Peng , Zhang, Jianing , Fu, Rao et al. Assessment of booster refrigeration system with eco-friendly working fluid CO 2 /halogenated alkene (HA) mixture for supermarket application around the world: Energy conservation, cost saving, and emissions reduction potential . | ENERGY , 2024 , 297 . |
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Long-term energy storage and carbon capture technologies are pivotal in managing renewable energy surpluses and achieving carbon neutrality. This paper proposes a Carnot battery system integrating calcium-looping thermochemical energy storage with a coal-fired power plant. The system utilizes excess electricity from the grid for energy input, facilitating long-term energy storage, achieving carbon capture, and reducing coal consumption in the power plant. An optimization framework is developed, incorporating component thermodynamic models and optimization algorithms, to maximize the coal savings in plants and energy efficiencies of the Carnot battery system. During the energy release process, the carbonator partially replaces the reheat load of the boiler, necessitating retrofitting of the boiler's heating surface to ensure normal operation. The base system demonstrates a CO2 capture capacity of 3.23 MJ/kg and a reduction in coal consumption by 7.07 %. The round-trip efficiency and comprehensive efficiency of the base system are 36.93 % and 37.91 %, respectively. The relatively low energy efficiency is primarily due to the deactivation of circulating adsorbents and the limited efficiency of the subcritical coal-fired power plant. By incorporating an additional recarbonation step to mitigate adsorbent deactivation, the system's comprehensive efficiency is improved to 42.20 %. Further improvements in system efficiency can be achieved by using modified adsorbents with high cycling stability instead of natural limestone and by coupling the system with more efficient ultra-supercritical units instead of the investigated subcritical units. This study offers valuable insights into the development of long-term energy storage solutions and multifunctional Carnot battery technology. © 2024 Elsevier Ltd
Keyword ：
Calcium looping Calcium looping Carbon capture Carbon capture Carnot battery Carnot battery Coal-fired power plant Coal-fired power plant Thermochemical energy storage Thermochemical energy storage
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| GB/T 7714 | Wang, D. , Sun, Z. , Xu, Q. et al. Thermodynamic modeling and analysis of a Carnot battery system integrating calcium looping thermochemical energy storage with coal-fired power plant [J]. | Energy Conversion and Management , 2024 , 318 . |
| MLA | Wang, D. et al. "Thermodynamic modeling and analysis of a Carnot battery system integrating calcium looping thermochemical energy storage with coal-fired power plant" . | Energy Conversion and Management 318 (2024) . |
| APA | Wang, D. , Sun, Z. , Xu, Q. , Tian, R. , Han, W. , Shen, J. . Thermodynamic modeling and analysis of a Carnot battery system integrating calcium looping thermochemical energy storage with coal-fired power plant . | Energy Conversion and Management , 2024 , 318 . |
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Ammonia decomposition for onsite hydrogen production has been regarded as an important reaction which links to efficient hydrogen storage, transport and utilization. However, it still remains challenging to develop efficient catalysts with robust stability for ammonia decomposition. Herein, an integrated strategy was employed to synthesize Ru/SiO2@N-CS via wrapping a thin layer of N-doped carbon onto the SiO2 sphere, following the anchor of Ru nanoparticles (NPs) onto the support. The obtained Ru/SiO2@N-CS (Ru loading: 1 wt%) shows a promising performance for ammonia decomposition, reaching 94.5 % at 550 °C with a gas hourly space velocity (GHSV) of 30 000 mL gcat-1h−1. The combination of the SiO2 as the core prevents the degradation of N-doped carbon layers and then enhance the durability of the catalysts, remaining stable after 50 h at evaluated temperatures. Adequate characterizations were used to illustrate the effect of microchemical environment on ammonia decomposition activity of Ru/SiO2@N-CS catalyst under different calcination atmosphere and the correlation between structure and performance. © 2024 Elsevier B.V.
Keyword ：
Ammonia decomposition Ammonia decomposition N-doped carbon N-doped carbon Ruthenium Ruthenium SiO2 SiO2 Stability Stability
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| GB/T 7714 | Huang, Y. , Ren, H. , Fang, H. et al. Ru nanoparticles embedded in Ru/SiO2@N-CS for boosting hydrogen production via ammonia decomposition with robust lifespan [J]. | Applied Surface Science , 2024 , 669 . |
| MLA | Huang, Y. et al. "Ru nanoparticles embedded in Ru/SiO2@N-CS for boosting hydrogen production via ammonia decomposition with robust lifespan" . | Applied Surface Science 669 (2024) . |
| APA | Huang, Y. , Ren, H. , Fang, H. , Ouyang, D. , Chen, C. , Luo, Y. et al. Ru nanoparticles embedded in Ru/SiO2@N-CS for boosting hydrogen production via ammonia decomposition with robust lifespan . | Applied Surface Science , 2024 , 669 . |
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Replacing fuel-fired boilers by using efficient heat pump plants to recover industrial waste heat is an effective solution to achieve the "dual carbon" target. Three novel transcritical CO2 high-temperature heat pump systems (Ej-Evap2-A, Ej-Evap2-B, and Ej-Evap2-C) are proposed in this study, by introducing the technique of dual -temperature evaporation realized with an ejector for cascade heat absorption from the heat source. Consid-ering the application in the scenario of industry requirement of hot water heating, the life cycle performances of the new proposed heat pump systems and fuel-fired boilers are comprehensively studied from the perspectives of energetic, emissions, and economic. A sensitivity analysis about the new configuration heat pump system is also conducted considering the variation in electricity and coal price. The results demonstrate there exists an opti-mum discharge pressure that maximizes the coefficient of performance (COP). Ej-Evap2-C shows a maximum COP of 4.85, which is 14.40% higher than the baseline CO2 heat pump system (Base), and the exergy efficiency of Ej-Evap2-C is 7.86-15.19% higher than that of Base. Among the eight heating methods including coal-fired boilers (CFB), gas-fired boilers (GFB), electric heating boiler (EHB) and five kinds of CO2 heat pump systems, Ej-Evap2-C shows the least pollutant emissions and life cycle cost. Furthermore, Ej-Evap2-C has the shortest payback period of fewer than 7 years compared with the CFB. The dual-temperature evaporation CO2 high -temperature heat pump is promising to substitute traditional fuel-fired boilers to generate high-temperature fluid in the future.
Keyword ：
Dual-temperature evaporation Dual-temperature evaporation Ejector Ejector High-temperature heat pump High-temperature heat pump Life cycle analysis Life cycle analysis TranscriticalCO(2) TranscriticalCO(2) Waste heat recovery Waste heat recovery
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| GB/T 7714 | Dai, Baomin , Liu, Chen , Liu, Shengchun et al. Life cycle techno-enviro-economic assessment of dual-temperature evaporation transcritical CO2 high-temperature heat pump systems for industrial waste heat recovery [J]. | APPLIED THERMAL ENGINEERING , 2023 , 219 . |
| MLA | Dai, Baomin et al. "Life cycle techno-enviro-economic assessment of dual-temperature evaporation transcritical CO2 high-temperature heat pump systems for industrial waste heat recovery" . | APPLIED THERMAL ENGINEERING 219 (2023) . |
| APA | Dai, Baomin , Liu, Chen , Liu, Shengchun , Wang, Dabiao , Wang, Qilong , Zou, Tonghua et al. Life cycle techno-enviro-economic assessment of dual-temperature evaporation transcritical CO2 high-temperature heat pump systems for industrial waste heat recovery . | APPLIED THERMAL ENGINEERING , 2023 , 219 . |
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Background: Accurate outcome prediction prior to treatment can facilitate trial design and clinical deci-sion making to achieve better treatment outcome.Method: We developed the DeepTOP tool with deep learning approach for region-of-interest segmenta-tion and clinical outcome prediction using magnetic resonance imaging (MRI). DeepTOP was constructed with an automatic pipeline from tumor segmentation to outcome prediction. In DeepTOP, the segmenta-tion model used U-Net with a codec structure, and the prediction model was built with a three-layer con-volutional neural network. In addition, the weight distribution algorithm was developed and applied in the prediction model to optimize the performance of DeepTOP.Results: A total of 1889 MRI slices from 99 patients in the phase III multicenter randomized clinical trial (NCT01211210) on neoadjuvant treatment for rectal cancer was used to train and validate DeepTOP. We systematically optimized and validated DeepTOP with multiple devised pipelines in the clinical trial, demonstrating a better performance than other competitive algorithms in accurate tumor segmentation (Dice coefficient: 0.79; IoU: 0.75; slice-specific sensitivity: 0.98) and predicting pathological complete response to chemo/radiotherapy (accuracy: 0.789; specificity: 0.725; and sensitivity: 0.812). DeepTOP is a deep learning tool that could avoid manual labeling and feature extraction and realize automatic tumor segmentation and treatment outcome prediction by using the original MRI images.Conclusion: DeepTOP is open to provide a tractable framework for the development of other segmenta-tion and predicting tools in clinical settings. DeepTOP-based tumor assessment can provide a reference for clinical decision making and facilitate imaging marker-driven trial design.(c) 2023 Elsevier B.V. All rights reserved. Radiotherapy and Oncology 183 (2023) 109550
Keyword ：
Cancer treatment Cancer treatment Magnetic resonance image Magnetic resonance image Neural network Neural network Treatment response Treatment response
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| GB/T 7714 | Li, Lanlan , Xu, Bin , Zhuang, Zhuokai et al. Accurate tumor segmentation and treatment outcome prediction with DeepTOP [J]. | RADIOTHERAPY AND ONCOLOGY , 2023 , 183 . |
| MLA | Li, Lanlan et al. "Accurate tumor segmentation and treatment outcome prediction with DeepTOP" . | RADIOTHERAPY AND ONCOLOGY 183 (2023) . |
| APA | Li, Lanlan , Xu, Bin , Zhuang, Zhuokai , Li, Juan , Hu, Yihuang , Yang, Hui et al. Accurate tumor segmentation and treatment outcome prediction with DeepTOP . | RADIOTHERAPY AND ONCOLOGY , 2023 , 183 . |
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Pyrochlore oxide A(2)B(2)O(7) is a potential anode catalyst of ammonia-fed solid oxide fuel cell (SOFC) due to its unique and open structure that can make some oxygen ions flow to occupy the hole position to form Frankel defect. Herein, various rare-earth ions with different radius are selected as the A site to construct defective pyrochlore oxide RE2Zr1.95Ni0.05O7+delta (REZN, RE = La, Pr, Nd, Sm, Gd, LZN/PZN/NZN/SZN/GZN) to gain insights into oxygen vacancies that can be the diffusion and adsorption active site for ammonia. In the n-type semiconductor REZN, the degree of crystal ordering decreases with the decrease of the radius of rare-earth RE3+ ions. Among them, GZN exhibits the most negative conduction band and the smallest band gap, making it easier to overcome the energy potential barrier and facilitate the movement of carriers. As a result, the conductivity of GZN is about 25 times higher than that of LZN. The average TEC value of GZN is 10.40 x 10(-6) K-1, which matches that of electrolyte YSZ (10.50 x 10(-6) K-1). The maximum power density of ammonia-fed SOFC supported by YSZ electrolyte based on GZN anode is 128.63 mW center dot cm(-2) at 800 degrees C, which is 2.3 times higher than that of NiO-based SOFC. The single cell based on GZN anode can be run continuously for 100 h at 800 degrees C without significant degradation. The preliminary results suggest that GZN oxide is promising to be a candidate catalyst for ammonia-fed SOFC anode.
Keyword ：
Ammonia-fed solid oxide fuel cell Ammonia-fed solid oxide fuel cell Ammonia oxidation Ammonia oxidation Electrochemical performance Electrochemical performance Geometry distortion Geometry distortion RE2Zr1.95Ni0.05O7+delta anode RE2Zr1.95Ni0.05O7+delta anode
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| GB/T 7714 | Zhong, Fulan , Wang, Xinmin , Wang, Lei et al. Tuning geometry distortion of pyrochlore RE2Zr1.95Ni0.05O7+delta anodes with rich oxygen vacancies for ammonia-fed solid oxide fuel cell [J]. | SEPARATION AND PURIFICATION TECHNOLOGY , 2023 , 312 . |
| MLA | Zhong, Fulan et al. "Tuning geometry distortion of pyrochlore RE2Zr1.95Ni0.05O7+delta anodes with rich oxygen vacancies for ammonia-fed solid oxide fuel cell" . | SEPARATION AND PURIFICATION TECHNOLOGY 312 (2023) . |
| APA | Zhong, Fulan , Wang, Xinmin , Wang, Lei , Fang, Huihuang , Luo, Yu , Chen, Chongqi et al. Tuning geometry distortion of pyrochlore RE2Zr1.95Ni0.05O7+delta anodes with rich oxygen vacancies for ammonia-fed solid oxide fuel cell . | SEPARATION AND PURIFICATION TECHNOLOGY , 2023 , 312 . |
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The heat transfer of supercritical R134a in a horizontal internally ribbed tube was predicted by using a back propagation artificial neural network (ANN). The network was trained based on 4440 experimental data points. The effects of the network input parameters, data division method, training function, transfer function, number of hidden layers, and number of neurons on the prediction results were analyzed in detail, and a new empirical formula for determining the optimal number of neurons was proposed. The prediction results by the network were then compared with those of four traditional classical correlations. The results revealed that the mean absolute errors of the ANN for predicting Nutop and Nubottom were only 35.28% and 33.03%, respectively, of those of the traditional model. Furthermore, 99.02% of Nu could be predicted with deviations smaller than 30% by the ANN, whereas only 88.7% could be predicted by traditional correlations, indicating that the ANN has a higher prediction accuracy. The present study provides a useful reference for the application and optimization of ANNs for heat transfer prediction and the design of supercritical fluid heaters.
Keyword ：
Artificial neural networks Artificial neural networks Heat transfer performance prediction Heat transfer performance prediction R134a R134a Supercritical Supercritical
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| GB/T 7714 | Wang, Dabiao , Guo, Shizhang , Zhao, Yuan et al. Use of an artificial neural network to predict the heat transfer of supercritical R134a in a horizontal internally ribbed tube [J]. | APPLIED THERMAL ENGINEERING , 2023 , 228 . |
| MLA | Wang, Dabiao et al. "Use of an artificial neural network to predict the heat transfer of supercritical R134a in a horizontal internally ribbed tube" . | APPLIED THERMAL ENGINEERING 228 (2023) . |
| APA | Wang, Dabiao , Guo, Shizhang , Zhao, Yuan , Li, Sichong , Li, Lanlan . Use of an artificial neural network to predict the heat transfer of supercritical R134a in a horizontal internally ribbed tube . | APPLIED THERMAL ENGINEERING , 2023 , 228 . |
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