The amount of low-temperature heat generated in industrial processes is high,but recycling is limited due to low grade and low recycling efficiency,which is one of the reasons for low energy efficiency.It implies that...The amount of low-temperature heat generated in industrial processes is high,but recycling is limited due to low grade and low recycling efficiency,which is one of the reasons for low energy efficiency.It implies that there is a great potential for low-temperature heat recovery and utilization.This article provided a detailed review of recent advances in the development of low-temperature thermal upgrades,power generation,refrigeration,and thermal energy storage.The detailed description will be given from the aspects of system structure improvement,work medium improvement,and thermodynamic and economic performance evaluation.It also pointed out the development bottlenecks and future development trends of various technologies.The low-temperature heat combined utilization technology can recover waste heat in an all-round and effective manner,and has great development prospects.展开更多
Background:Due to the occult anatomic location of the nasopharynx and frequent presence of adenoid hyperpla-sia,the positive rate for malignancy identification during biopsy is low,thus leading to delayed or missed di...Background:Due to the occult anatomic location of the nasopharynx and frequent presence of adenoid hyperpla-sia,the positive rate for malignancy identification during biopsy is low,thus leading to delayed or missed diagnosis for nasopharyngeal malignancies upon initial attempt.Here,we aimed to develop an artificial intelligence tool to detect nasopharyngeal malignancies under endoscopic examination based on deep learning.Methods:An endoscopic images-based nasopharyngeal malignancy detection model(eNPM-DM)consisting of a fully convolutional network based on the inception architecture was developed and fine-tuned using separate training and validation sets for both classification and segmentation.Briefly,a total of 28,966 qualified images were collected.Among these images,27,536 biopsy-proven images from 7951 individuals obtained from January 1st,2008,to December 31st,2016,were split into the training,validation and test sets at a ratio of 7:1:2 using simple randomiza-tion.Additionally,1430 images obtained from January 1st,2017,to March 31st,2017,were used as a prospective test set to compare the performance of the established model against oncologist evaluation.The dice similarity coef-ficient(DSC)was used to evaluate the efficiency of eNPM-DM in automatic segmentation of malignant area from the background of nasopharyngeal endoscopic images,by comparing automatic segmentation with manual segmenta-tion performed by the experts.Results:All images were histopathologically confirmed,and included 5713(19.7%)normal control,19,107(66.0%)nasopharyngeal carcinoma(NPC),335(1.2%)NPC and 3811(13.2%)benign diseases.The eNPM-DM attained an overall accuracy of 88.7%(95%confidence interval(CI)87.8%-89.5%)in detecting malignancies in the test set.In the prospective comparison phase,eNPM-DM outperformed the experts:the overall accuracy was 88.0%(95%CI 86.1%-89.6%)vs.80.5%(95%CI 77.0%-84.0%).The eNPM-DM required less time(40 s vs.110.0±5.8 min)and exhibited encouraging performance in automatic segmentation of nasopharyngeal malign展开更多
The coronavirus disease 2019(COVID-19)caused by SARS-CoV-2 was identified in December 2019.The symptoms include fever,cough,dyspnea,early symptom of sputum,and acute respiratory distress syndrome(ARDS).Mesenchymal ste...The coronavirus disease 2019(COVID-19)caused by SARS-CoV-2 was identified in December 2019.The symptoms include fever,cough,dyspnea,early symptom of sputum,and acute respiratory distress syndrome(ARDS).Mesenchymal stem cell(MSC)therapy is the immediate treatment used for patients with severe cases of COVID-19.Herein,we describe two confirmed cases of COVID-19 in Wuhan to explore the role of MSC in the treatment of COVID-19.MSC transplantation increases the immune indicators(including CD4 and lymphocytes)and decreases the inflammation indicators(interleukin-6 and C-reactive protein).High-flow nasal cannula can be used as an initial support strategy for patients with ARDS.With MSC transplantation,the fracrion of inspired O2(Fi02)of the two patients gradually decreased while the oxygen saturation(Sa02)and partial pressure of oxygen(P02)improved.Additionally,the patients9 chest computed tomography showed that bilateral lung exudate lesions were adsorbed after MSC infusion.Results indicated that MSC transplantation provides clinical data on the treatment of COVID-19 and may serve as an alternative method for treating COVID-19,particularly in patients with ARDS.展开更多
Buildings contribute to almost 30%of total energy consumption worldwide.Developing building energy modeling programs is of great significance for lifecycle building performance assessment and optimization.Advances in ...Buildings contribute to almost 30%of total energy consumption worldwide.Developing building energy modeling programs is of great significance for lifecycle building performance assessment and optimization.Advances in novel building technologies,the requirements of high-performance computation,and the demands for multi-objective models have brought new challenges for building energy modeling software and platforms.To meet the increasing simulation demands,DeST 3.0,a new-generation building performance simulation platform,was developed and released.The structure of DeST 3.0 incorporates four simulation engines,including building analysis and simulation(BAS)engine,HVAC system engine,combined plant simulation(CPS)engine,and energy system(ES)engine,connected by air loop and water loop balancing iterations.DeST 3.0 offers numerous new simulation features,such as advanced simulation modules for building envelopes,occupant behavior and energy systems,cross-platform and compatible simulation kernel,FMI/FMU-based co-simulation functionalities,and high-performance parallel simulation architecture.DeST 3.0 has been thoroughly evaluated and validated using code verification,inter-program comparison,and case-study calibration.DeST 3.0 has been applied in various aspects throughout the building lifecycle,supporting building design,operation,retrofit analysis,code appliance,technology adaptability evaluation as well as research and education.The new generation building simulation platform DeST 3.0 provides an efficient tool and comprehensive simulation platform for lifecycle building performance analysis and optimization.展开更多
评估经骶管裂孔硬膜外腔镜下激光减压术治疗腰椎间盘突出症的近期疗效。回顾性分析经骶管裂孔硬膜外腔镜下激光减压术治疗腰椎间盘突出症23例,观察手术时间、术中出血量和住院时间,采用视觉模拟评分(visual analog scale,VAS)评估术前...评估经骶管裂孔硬膜外腔镜下激光减压术治疗腰椎间盘突出症的近期疗效。回顾性分析经骶管裂孔硬膜外腔镜下激光减压术治疗腰椎间盘突出症23例,观察手术时间、术中出血量和住院时间,采用视觉模拟评分(visual analog scale,VAS)评估术前和术后患者腰腿痛情况,改良MacNab评分评估患者腰部功能恢复情况。结果显示术后VAS评分与术前相比差异均有统计学意义(P<0.05),优良率达82.6%,该技术治疗腰椎间盘突出症具有创伤小、出血少、短期疗效满意等优点,值得临床推广。展开更多
基金Supported by the National Natural Science Foundation of China(21476119,21406124)Major Science and Technology Innovation Project of Shandong Province(2018CXGC1102).
文摘The amount of low-temperature heat generated in industrial processes is high,but recycling is limited due to low grade and low recycling efficiency,which is one of the reasons for low energy efficiency.It implies that there is a great potential for low-temperature heat recovery and utilization.This article provided a detailed review of recent advances in the development of low-temperature thermal upgrades,power generation,refrigeration,and thermal energy storage.The detailed description will be given from the aspects of system structure improvement,work medium improvement,and thermodynamic and economic performance evaluation.It also pointed out the development bottlenecks and future development trends of various technologies.The low-temperature heat combined utilization technology can recover waste heat in an all-round and effective manner,and has great development prospects.
基金supported by the National Natural Science Foundation of China[Grant Nos.81572665,81672680,81472525,81702873]the International Cooperation Project of Science and Technology Plan of Guangdong Province[Grant No.2016A050502011]the Health&Medical Collaborative Innovation Project of Guangzhou City,China(Grant No.201604020003).
文摘Background:Due to the occult anatomic location of the nasopharynx and frequent presence of adenoid hyperpla-sia,the positive rate for malignancy identification during biopsy is low,thus leading to delayed or missed diagnosis for nasopharyngeal malignancies upon initial attempt.Here,we aimed to develop an artificial intelligence tool to detect nasopharyngeal malignancies under endoscopic examination based on deep learning.Methods:An endoscopic images-based nasopharyngeal malignancy detection model(eNPM-DM)consisting of a fully convolutional network based on the inception architecture was developed and fine-tuned using separate training and validation sets for both classification and segmentation.Briefly,a total of 28,966 qualified images were collected.Among these images,27,536 biopsy-proven images from 7951 individuals obtained from January 1st,2008,to December 31st,2016,were split into the training,validation and test sets at a ratio of 7:1:2 using simple randomiza-tion.Additionally,1430 images obtained from January 1st,2017,to March 31st,2017,were used as a prospective test set to compare the performance of the established model against oncologist evaluation.The dice similarity coef-ficient(DSC)was used to evaluate the efficiency of eNPM-DM in automatic segmentation of malignant area from the background of nasopharyngeal endoscopic images,by comparing automatic segmentation with manual segmenta-tion performed by the experts.Results:All images were histopathologically confirmed,and included 5713(19.7%)normal control,19,107(66.0%)nasopharyngeal carcinoma(NPC),335(1.2%)NPC and 3811(13.2%)benign diseases.The eNPM-DM attained an overall accuracy of 88.7%(95%confidence interval(CI)87.8%-89.5%)in detecting malignancies in the test set.In the prospective comparison phase,eNPM-DM outperformed the experts:the overall accuracy was 88.0%(95%CI 86.1%-89.6%)vs.80.5%(95%CI 77.0%-84.0%).The eNPM-DM required less time(40 s vs.110.0±5.8 min)and exhibited encouraging performance in automatic segmentation of nasopharyngeal malign
基金This work was supported by the Technological Special Project for Significant New Drugs Development of China(No.2018ZX09201002-005)National Key R&D Program of China(No.2017YFA0105701)+1 种基金the National Science and Technology Major Project(No.2017ZX10204401)the Emergency Research Fund for COVID-19 of Zhejiang Province(No.2020C03125).
文摘The coronavirus disease 2019(COVID-19)caused by SARS-CoV-2 was identified in December 2019.The symptoms include fever,cough,dyspnea,early symptom of sputum,and acute respiratory distress syndrome(ARDS).Mesenchymal stem cell(MSC)therapy is the immediate treatment used for patients with severe cases of COVID-19.Herein,we describe two confirmed cases of COVID-19 in Wuhan to explore the role of MSC in the treatment of COVID-19.MSC transplantation increases the immune indicators(including CD4 and lymphocytes)and decreases the inflammation indicators(interleukin-6 and C-reactive protein).High-flow nasal cannula can be used as an initial support strategy for patients with ARDS.With MSC transplantation,the fracrion of inspired O2(Fi02)of the two patients gradually decreased while the oxygen saturation(Sa02)and partial pressure of oxygen(P02)improved.Additionally,the patients9 chest computed tomography showed that bilateral lung exudate lesions were adsorbed after MSC infusion.Results indicated that MSC transplantation provides clinical data on the treatment of COVID-19 and may serve as an alternative method for treating COVID-19,particularly in patients with ARDS.
基金supported by the“13th Five-Year”National Key R&D Program of China(No.2017YFC0702200)。
文摘Buildings contribute to almost 30%of total energy consumption worldwide.Developing building energy modeling programs is of great significance for lifecycle building performance assessment and optimization.Advances in novel building technologies,the requirements of high-performance computation,and the demands for multi-objective models have brought new challenges for building energy modeling software and platforms.To meet the increasing simulation demands,DeST 3.0,a new-generation building performance simulation platform,was developed and released.The structure of DeST 3.0 incorporates four simulation engines,including building analysis and simulation(BAS)engine,HVAC system engine,combined plant simulation(CPS)engine,and energy system(ES)engine,connected by air loop and water loop balancing iterations.DeST 3.0 offers numerous new simulation features,such as advanced simulation modules for building envelopes,occupant behavior and energy systems,cross-platform and compatible simulation kernel,FMI/FMU-based co-simulation functionalities,and high-performance parallel simulation architecture.DeST 3.0 has been thoroughly evaluated and validated using code verification,inter-program comparison,and case-study calibration.DeST 3.0 has been applied in various aspects throughout the building lifecycle,supporting building design,operation,retrofit analysis,code appliance,technology adaptability evaluation as well as research and education.The new generation building simulation platform DeST 3.0 provides an efficient tool and comprehensive simulation platform for lifecycle building performance analysis and optimization.
文摘评估经骶管裂孔硬膜外腔镜下激光减压术治疗腰椎间盘突出症的近期疗效。回顾性分析经骶管裂孔硬膜外腔镜下激光减压术治疗腰椎间盘突出症23例,观察手术时间、术中出血量和住院时间,采用视觉模拟评分(visual analog scale,VAS)评估术前和术后患者腰腿痛情况,改良MacNab评分评估患者腰部功能恢复情况。结果显示术后VAS评分与术前相比差异均有统计学意义(P<0.05),优良率达82.6%,该技术治疗腰椎间盘突出症具有创伤小、出血少、短期疗效满意等优点,值得临床推广。
