Flexible fiber sensors,However,traditional methods face challenges in fabricating low-cost,large-scale fiber sensors.In recent years,the thermal drawing process has rapidly advanced,offering a novel approach to flexib...Flexible fiber sensors,However,traditional methods face challenges in fabricating low-cost,large-scale fiber sensors.In recent years,the thermal drawing process has rapidly advanced,offering a novel approach to flexible fiber sensors.Through the preform-tofiber manufacturing technique,a variety of fiber sensors with complex functionalities spanning from the nanoscale to kilometer scale can be automated in a short time.Examples include temperature,acoustic,mechanical,chemical,biological,optoelectronic,and multifunctional sensors,which operate on diverse sensing principles such as resistance,capacitance,piezoelectricity,triboelectricity,photoelectricity,and thermoelectricity.This review outlines the principles of the thermal drawing process and provides a detailed overview of the latest advancements in various thermally drawn fiber sensors.Finally,the future developments of thermally drawn fiber sensors are discussed.展开更多
Dear Editor,Since it first appeared in humans in China in 2013,a novel H7N9influenza virus has caused 1,568 cases of infection,with a mortality rate of 39.2%(Yin et al.,2021).The early H7N9 virus strains had low patho...Dear Editor,Since it first appeared in humans in China in 2013,a novel H7N9influenza virus has caused 1,568 cases of infection,with a mortality rate of 39.2%(Yin et al.,2021).The early H7N9 virus strains had low pathogenicity and did not cause avian disease(Zhang et al.,2013).However,they caused concern about poultry consumption and caused huge economic losses to the poultry industry.Since mid-2016,some H7N9 viruses mutated.展开更多
<div style="text-align:justify;"> In order to speed up the global optimization-based mesh smoothing, an enhanced steepest descent method is presented in the paper. Numerical experiment results show tha...<div style="text-align:justify;"> In order to speed up the global optimization-based mesh smoothing, an enhanced steepest descent method is presented in the paper. Numerical experiment results show that the method performs better than the steepest descent method in the global smoothing. We also presented a physically-based interpretation to explain why the method works better than the steepest descent method. </div>展开更多
In recent years,tunnel boring machines(TBMs)have been widely used in tunnel construction.Rockbursts,as a dynamic geological disaster,pose a serious threat to the safety and efficienttunneling of TBMs.The microseismic ...In recent years,tunnel boring machines(TBMs)have been widely used in tunnel construction.Rockbursts,as a dynamic geological disaster,pose a serious threat to the safety and efficienttunneling of TBMs.The microseismic monitoring technique provides an effective solution for rockburst warning.However,due to the complexity and variability of the TBM excavation environment,microseismic events induced by rock fracture are often accompanied by interference events,such as electrical noise,TBM vibration,and mechanical knock.This study proposes a multi-channel intelligent classification approach for microseismic events in TBM excavation scenarios,based on double-layer stacking learning,to identify rock fractures.In this approach,decision tree is used as the base classifieron each microseismic channel,while extreme learning machine is employed as the meta-classifierto aggregate all base classifiers.Additionally,mind evolutionary computation is integrated to optimize the built-in hyperparameters of various classifiers.Meanwhile,a comprehensive preprocessing and augmentation flowfor microseismic data has been developed,encompassing feature extraction,dimensionality reduction,outlier detection,and outlier substitution.The results reveal that the multi-channel stacking model,which combines classificationand regression tree and extreme learning machine,achieves optimal global and local generalization performance compared to other multi-channel stacking models and traditional single-channel models.The accuracy,Hamming loss,and Cohen’s kappa are 96.75%,0.0325,and 0.9148,respectively,and the F_(1)-score and AUC on rock fracture events are 0.9366 and 0.9818,respectively.Finally,a generative artificialintelligence-based scheme is invented to enhance the robustness of the model for signal-mixing events.展开更多
BACKGROUND Thermal ablation(TA),including radiofrequency ablation and microwave ablation,is a commonly used curative treatment for single small hepatocellular carcinoma(sHCC).The relative advantages of TA and surgical...BACKGROUND Thermal ablation(TA),including radiofrequency ablation and microwave ablation,is a commonly used curative treatment for single small hepatocellular carcinoma(sHCC).The relative advantages of TA and surgical resection(SR)in terms of long-term survival remain controversial.AIM To compare their long-term efficacy in this patient population.METHODS This population-based retrospective cohort study included 257 patients who received a first diagnosis of single sHCC and underwent SR or TA from January 2012 to September 2017.The primary endpoints were overall survival(OS)and recurrence-free survival(RFS).RESULTS The average follow-up duration was 11.4 years.The 1-,3-,5-,and 10-year OS rates were 95.8%,86.0%,82.5%,and 74.2%in the SR group vs 97.4%,85.8%,78.6%,and 65.6%in the TA group,with the median OS not yet reached.The 1-,3-,5-,and 10-year RFS rates were 79.8%,59.6%,46.2%,and 24.7%in the SR group vs 83.9%,61.5%,47.9%,and 41.2%in the TA group,with median RFS values of 3.95 and 4.63 years,respectively.No significant differences in OS or RFS were observed overall(OS:P=0.244;RFS:P=0.180),but in patients≤60 years,TA led to a higher RFS than SR(P=0.021).Multivariate analysis identified age,tumor differentiation grade,and Child-Pugh classification as independent risk factors for OS,whereas age and differentiation grade were significant risk factors for RFS.CONCLUSION In patients with single sHCC,SR,and TA offered comparable long-term efficacy.However,TA showed superior RFS in patients≤60 years,suggesting that TA may be a reasonable option for younger patients,pending confirmation by prospective studies.展开更多
Jing Fang granules(JFG)are a modern Chinese medicinal formulation derived from Jing Fang Defeating Toxin San(JFDS).JFG primarily contains bioactive compounds such as flavonoids/flavonoid glycosides,coumarins and other...Jing Fang granules(JFG)are a modern Chinese medicinal formulation derived from Jing Fang Defeating Toxin San(JFDS).JFG primarily contains bioactive compounds such as flavonoids/flavonoid glycosides,coumarins and other components,which have various activities:anti-inflammatory,immune system regulation,antiviral,anti-aging,detoxification,and protection of the liver,lungs,and kidneys.JFG has broad potential therapeutic applications.The mechanisms of JFG’s actions are primarily associated with signaling pathways such as TLR4/NF-κB,PI3K/AKT,and MAPK.This article reviews the research progress on JFG,including chemical composition,pharmacologic effects,mechanism of action,safety,clinical application,etc.,serving as a foundation for future research and clinical applications.展开更多
Based on data from the Jilin Water Diversion Tunnels from the Songhua River(China),an improved and real-time prediction method optimized by multi-algorithm for tunnel boring machine(TBM)cutter-head torque is presented...Based on data from the Jilin Water Diversion Tunnels from the Songhua River(China),an improved and real-time prediction method optimized by multi-algorithm for tunnel boring machine(TBM)cutter-head torque is presented.Firstly,a function excluding invalid and abnormal data is established to distinguish TBM operating state,and a feature selection method based on the SelectKBest algorithm is proposed.Accordingly,ten features that are most closely related to the cutter-head torque are selected as input variables,which,in descending order of influence,include the sum of motor torque,cutter-head power,sum of motor power,sum of motor current,advance rate,cutter-head pressure,total thrust force,penetration rate,cutter-head rotational velocity,and field penetration index.Secondly,a real-time cutterhead torque prediction model’s structure is developed,based on the bidirectional long short-term memory(BLSTM)network integrating the dropout algorithm to prevent overfitting.Then,an algorithm to optimize hyperparameters of model based on Bayesian and cross-validation is proposed.Early stopping and checkpoint algorithms are integrated to optimize the training process.Finally,a BLSTMbased real-time cutter-head torque prediction model is developed,which fully utilizes the previous time-series tunneling information.The mean absolute percentage error(MAPE)of the model in the verification section is 7.3%,implying that the presented model is suitable for real-time cutter-head torque prediction.Furthermore,an incremental learning method based on the above base model is introduced to improve the adaptability of the model during the TBM tunneling.Comparison of the prediction performance between the base and incremental learning models in the same tunneling section shows that:(1)the MAPE of the predicted results of the BLSTM-based real-time cutter-head torque prediction model remains below 10%,and both the coefficient of determination(R^(2))and correlation coefficient(r)between measured and predicted values exceed 0.95;and(2)the incremental learning method is suitable for realtime cutter-head torque prediction and can effectively improve the prediction accuracy and generalization capacity of the model during the excavation process.展开更多
There is currently no drug or therapy that can cure the coronavirus disease 2019(COVID-19), which is highly contagious and can be life-threatening in severe cases. Therefore, seeking potential effective therapies is a...There is currently no drug or therapy that can cure the coronavirus disease 2019(COVID-19), which is highly contagious and can be life-threatening in severe cases. Therefore, seeking potential effective therapies is an urgent task. An older female at the Leishenshan Hospital in Wuhan, China, with a severe case of COVID-19 with significant shortness of breath and decrease in peripheral oxygen saturation(SpO_(2)),was treated using manual acupuncture and Chinese herbal medicine granule formula Fuzheng Rescue Lung with Xuebijing Injection in addition to standard care. The patient’s breath rate, SpO_(2), heart rate,ratio of neutrophil/lymphocyte(NLR), ratio of monocyte/lymphocyte(MLR), C-reactive protein(CRP),and chest computed tomography were monitored. Acupuncture significantly improved the patient’s breathing function, increased SpO_(2), and decreased her heart rate. Chinese herbal medicine might make the effect of acupuncture more stable;the use of herbal medicine also seemed to accelerate the absorption of lung infection lesions when its dosage was increased. The combination of acupuncture and herbs decreased NLR from 14.14 to 5.83, MLR from 1.15 to 0.33 and CRP from 15.25 to 6.01 mg/L. These results indicate that acupuncture and Chinese herbal medicine, as adjuvants to standard care, might achieve better results in treating severe cases of COVID-19.展开更多
基金supported by the National Key Research and Development Program of China(2023YFB3809800)the National Natural Science Foundation of China(52172249,52525601)+2 种基金the Chinese Academy of Sciences Talents Program(E2290701)the Jiangsu Province Talents Program(JSSCRC2023545)the Special Fund Project of Carbon Peaking Carbon Neutrality Science and Technology Innovation of Jiangsu Province(BE2022011).
文摘Flexible fiber sensors,However,traditional methods face challenges in fabricating low-cost,large-scale fiber sensors.In recent years,the thermal drawing process has rapidly advanced,offering a novel approach to flexible fiber sensors.Through the preform-tofiber manufacturing technique,a variety of fiber sensors with complex functionalities spanning from the nanoscale to kilometer scale can be automated in a short time.Examples include temperature,acoustic,mechanical,chemical,biological,optoelectronic,and multifunctional sensors,which operate on diverse sensing principles such as resistance,capacitance,piezoelectricity,triboelectricity,photoelectricity,and thermoelectricity.This review outlines the principles of the thermal drawing process and provides a detailed overview of the latest advancements in various thermally drawn fiber sensors.Finally,the future developments of thermally drawn fiber sensors are discussed.
基金the National Key Research and Development Program(2021YFD1800201)Shandong Provincial Key Research and Development Program(2022CXGC010606)Natural Science Foundation of Ningxia Hui Autonomous Region(2022AAC02071)。
文摘Dear Editor,Since it first appeared in humans in China in 2013,a novel H7N9influenza virus has caused 1,568 cases of infection,with a mortality rate of 39.2%(Yin et al.,2021).The early H7N9 virus strains had low pathogenicity and did not cause avian disease(Zhang et al.,2013).However,they caused concern about poultry consumption and caused huge economic losses to the poultry industry.Since mid-2016,some H7N9 viruses mutated.
文摘<div style="text-align:justify;"> In order to speed up the global optimization-based mesh smoothing, an enhanced steepest descent method is presented in the paper. Numerical experiment results show that the method performs better than the steepest descent method in the global smoothing. We also presented a physically-based interpretation to explain why the method works better than the steepest descent method. </div>
基金supported by the National Natural Science Foundation of China(Grant Nos.42472351 and 42177140)the Young Elite Scientist Sponsorship Program by the China Association for Science and Technology(Grant No.YESS20230742).
文摘In recent years,tunnel boring machines(TBMs)have been widely used in tunnel construction.Rockbursts,as a dynamic geological disaster,pose a serious threat to the safety and efficienttunneling of TBMs.The microseismic monitoring technique provides an effective solution for rockburst warning.However,due to the complexity and variability of the TBM excavation environment,microseismic events induced by rock fracture are often accompanied by interference events,such as electrical noise,TBM vibration,and mechanical knock.This study proposes a multi-channel intelligent classification approach for microseismic events in TBM excavation scenarios,based on double-layer stacking learning,to identify rock fractures.In this approach,decision tree is used as the base classifieron each microseismic channel,while extreme learning machine is employed as the meta-classifierto aggregate all base classifiers.Additionally,mind evolutionary computation is integrated to optimize the built-in hyperparameters of various classifiers.Meanwhile,a comprehensive preprocessing and augmentation flowfor microseismic data has been developed,encompassing feature extraction,dimensionality reduction,outlier detection,and outlier substitution.The results reveal that the multi-channel stacking model,which combines classificationand regression tree and extreme learning machine,achieves optimal global and local generalization performance compared to other multi-channel stacking models and traditional single-channel models.The accuracy,Hamming loss,and Cohen’s kappa are 96.75%,0.0325,and 0.9148,respectively,and the F_(1)-score and AUC on rock fracture events are 0.9366 and 0.9818,respectively.Finally,a generative artificialintelligence-based scheme is invented to enhance the robustness of the model for signal-mixing events.
文摘BACKGROUND Thermal ablation(TA),including radiofrequency ablation and microwave ablation,is a commonly used curative treatment for single small hepatocellular carcinoma(sHCC).The relative advantages of TA and surgical resection(SR)in terms of long-term survival remain controversial.AIM To compare their long-term efficacy in this patient population.METHODS This population-based retrospective cohort study included 257 patients who received a first diagnosis of single sHCC and underwent SR or TA from January 2012 to September 2017.The primary endpoints were overall survival(OS)and recurrence-free survival(RFS).RESULTS The average follow-up duration was 11.4 years.The 1-,3-,5-,and 10-year OS rates were 95.8%,86.0%,82.5%,and 74.2%in the SR group vs 97.4%,85.8%,78.6%,and 65.6%in the TA group,with the median OS not yet reached.The 1-,3-,5-,and 10-year RFS rates were 79.8%,59.6%,46.2%,and 24.7%in the SR group vs 83.9%,61.5%,47.9%,and 41.2%in the TA group,with median RFS values of 3.95 and 4.63 years,respectively.No significant differences in OS or RFS were observed overall(OS:P=0.244;RFS:P=0.180),but in patients≤60 years,TA led to a higher RFS than SR(P=0.021).Multivariate analysis identified age,tumor differentiation grade,and Child-Pugh classification as independent risk factors for OS,whereas age and differentiation grade were significant risk factors for RFS.CONCLUSION In patients with single sHCC,SR,and TA offered comparable long-term efficacy.However,TA showed superior RFS in patients≤60 years,suggesting that TA may be a reasonable option for younger patients,pending confirmation by prospective studies.
基金supported by the Key R&D Program of Shandong Province,China(No.2024TZXD067,2022SFGC0105)Natural Science Foundation of Shandong Province(No.ZR2023QB021)+2 种基金Young Taishan Scholarship to Xuekui Xia(No.tsqn202103100)Jinan Talent Project for Universities(No.2021GXRC062,202228088)Key innovation Project and Science,Education and Industry Integration Innovation Pilot Project of Qilu University of Technology(Shandong Academy of Sciences)(No.2022JBZ01-06,2024ZDZX03,2023RCKY214).
文摘Jing Fang granules(JFG)are a modern Chinese medicinal formulation derived from Jing Fang Defeating Toxin San(JFDS).JFG primarily contains bioactive compounds such as flavonoids/flavonoid glycosides,coumarins and other components,which have various activities:anti-inflammatory,immune system regulation,antiviral,anti-aging,detoxification,and protection of the liver,lungs,and kidneys.JFG has broad potential therapeutic applications.The mechanisms of JFG’s actions are primarily associated with signaling pathways such as TLR4/NF-κB,PI3K/AKT,and MAPK.This article reviews the research progress on JFG,including chemical composition,pharmacologic effects,mechanism of action,safety,clinical application,etc.,serving as a foundation for future research and clinical applications.
基金financially supported by the National Natural Science Foundation of China (Grant Nos. 52074258, 41941018, and U21A20153)
文摘Based on data from the Jilin Water Diversion Tunnels from the Songhua River(China),an improved and real-time prediction method optimized by multi-algorithm for tunnel boring machine(TBM)cutter-head torque is presented.Firstly,a function excluding invalid and abnormal data is established to distinguish TBM operating state,and a feature selection method based on the SelectKBest algorithm is proposed.Accordingly,ten features that are most closely related to the cutter-head torque are selected as input variables,which,in descending order of influence,include the sum of motor torque,cutter-head power,sum of motor power,sum of motor current,advance rate,cutter-head pressure,total thrust force,penetration rate,cutter-head rotational velocity,and field penetration index.Secondly,a real-time cutterhead torque prediction model’s structure is developed,based on the bidirectional long short-term memory(BLSTM)network integrating the dropout algorithm to prevent overfitting.Then,an algorithm to optimize hyperparameters of model based on Bayesian and cross-validation is proposed.Early stopping and checkpoint algorithms are integrated to optimize the training process.Finally,a BLSTMbased real-time cutter-head torque prediction model is developed,which fully utilizes the previous time-series tunneling information.The mean absolute percentage error(MAPE)of the model in the verification section is 7.3%,implying that the presented model is suitable for real-time cutter-head torque prediction.Furthermore,an incremental learning method based on the above base model is introduced to improve the adaptability of the model during the TBM tunneling.Comparison of the prediction performance between the base and incremental learning models in the same tunneling section shows that:(1)the MAPE of the predicted results of the BLSTM-based real-time cutter-head torque prediction model remains below 10%,and both the coefficient of determination(R^(2))and correlation coefficient(r)between measured and predicted values exceed 0.95;and(2)the incremental learning method is suitable for realtime cutter-head torque prediction and can effectively improve the prediction accuracy and generalization capacity of the model during the excavation process.
基金Guangdong Provincial Famous TCM Veteran Experts Zou Xu Inheritance Studio。
文摘There is currently no drug or therapy that can cure the coronavirus disease 2019(COVID-19), which is highly contagious and can be life-threatening in severe cases. Therefore, seeking potential effective therapies is an urgent task. An older female at the Leishenshan Hospital in Wuhan, China, with a severe case of COVID-19 with significant shortness of breath and decrease in peripheral oxygen saturation(SpO_(2)),was treated using manual acupuncture and Chinese herbal medicine granule formula Fuzheng Rescue Lung with Xuebijing Injection in addition to standard care. The patient’s breath rate, SpO_(2), heart rate,ratio of neutrophil/lymphocyte(NLR), ratio of monocyte/lymphocyte(MLR), C-reactive protein(CRP),and chest computed tomography were monitored. Acupuncture significantly improved the patient’s breathing function, increased SpO_(2), and decreased her heart rate. Chinese herbal medicine might make the effect of acupuncture more stable;the use of herbal medicine also seemed to accelerate the absorption of lung infection lesions when its dosage was increased. The combination of acupuncture and herbs decreased NLR from 14.14 to 5.83, MLR from 1.15 to 0.33 and CRP from 15.25 to 6.01 mg/L. These results indicate that acupuncture and Chinese herbal medicine, as adjuvants to standard care, might achieve better results in treating severe cases of COVID-19.
