Porcine Contagious Pleuropneumonia(PCP)is a respiratory infectious disease of pigs caused by Actinobacillus pleuropneumoniae.The disease has been prevalent in pig farms since it was first identified in 1957(Pattison e...Porcine Contagious Pleuropneumonia(PCP)is a respiratory infectious disease of pigs caused by Actinobacillus pleuropneumoniae.The disease has been prevalent in pig farms since it was first identified in 1957(Pattison et al.1957).展开更多
Background: The persistence of the rapid spread of the COVID-19 pandemic is linked to the appearance of several variants of SARS-CoV2 with an impact on biological diagnosis, treatment and vaccination. The United State...Background: The persistence of the rapid spread of the COVID-19 pandemic is linked to the appearance of several variants of SARS-CoV2 with an impact on biological diagnosis, treatment and vaccination. The United States Food and Drug Administration (FDA) has granted several SARS-CoV-2 detection tests Emergency Use Authorization (EUA) for diagnosis and better epidemiological surveillance. Thus, multiple RT-PCR tests have been developed and brought to market in order to meet the urgent need for the diagnosis of COVID-19. However, comparative data between these tests in clinical laboratories are scarcely available to assess their performance. Objective: To compare two molecular methods for detecting SARS-CoV-2: the RT-PCR, Allplex™2019-nCoV tests on CFX96 Bio-Rad and the Abbott m2000sp/rt RealTime SARS-CoV-2. Materials and Methods: Nasopharyngeal and oropharyngeal swabs were taken from patients to diagnose SARS-CoV-2 infection. For each sample, we searched for the virus with two different RT-PCR tests: 1) first on Abbott m2000 SARS-CoV-2 targeting the N and RdRp genes, 2) then on Allplex™2019-nCoV Assay looking for the E, N and RdRp genes. Results: Percentages of the agreement were calculated. A total of 100 samples that tested negative and 90 positives on Abbott m2000 SARS-CoV-2 were retested on Allplex™2019-nCoV. Overall agreement was 74.74% on all samples. The specific agreement was 84% and 64.4% respectively for negative and positive samples with the RealTime SARS-CoV-2 test. A positive correlation (r<sup>2</sup> = 0.63;p Conclusion: Our results showed good overall agreement between RT-PCR, Allplex™2019-nCoV and Abbott RealTime SARS-CoV-2 tests in the diagnosis of COVID-19. As the concordance is low for small viremias, the RT-PCR Allplex™2019-nCoV Assay would be better indicated during the acute and symptomatic phase of the disease.展开更多
Soft grippers research is gaining increasing attention for their flexibility.However,the conventional soft gripper primar-ily focuses on soft fingers,without considering the palm.This makes grasping forces concentrate...Soft grippers research is gaining increasing attention for their flexibility.However,the conventional soft gripper primar-ily focuses on soft fingers,without considering the palm.This makes grasping forces concentrated in the fingertip areas,resulting in objects being prone to damage and instability during handling,especially for delicate items.Additionally,pre-transportation classification faces challenges:tactile methods are complex,visual methods are environment-sensitive,and both struggle with similar objects.To address these problems,inspired by the human hand's transition between finger grasp and palm support and the lotus's hierarchical structure,this paper proposes a dual-layer gripper,named IOSGrip-per.It features four pneumatic soft fingers and a rotational soft-rigid palm.Through coordinated control of the fingers and palm,it transitions concentrated fingertip squeeze force to distributed palm support force,reducing squeeze force and squeeze duration.Moreover,it integrates a range sensor and four load cells,enabling stable and accurate measurements of the object's height and weight.Furthermore,a classifier is developed based on K-nearest neighbor algorithm,allowing real-time object classification.Experiments demonstrate that compared to only using soft fingers,the IOSGripper signifi-cantly reduces the squeeze force on the objects(with 0 N squeeze force during palm support)and damage on the delicate object,while improving grasping stability.Its height and weight measurement errors are within 2 mm and 1 g,respectively.And it achieves high accuracy in three test scenarios,including classifying similar objects.This study provides useful insights for the design of soft grippers capable of human-like grasping and sorting tasks.展开更多
The accurate selection of operational parameters is critical for ensuring the safety,efficiency,and automation of Tunnel Boring Machine(TBM)operations.This study proposes a similarity-based framework integrating model...The accurate selection of operational parameters is critical for ensuring the safety,efficiency,and automation of Tunnel Boring Machine(TBM)operations.This study proposes a similarity-based framework integrating model-based boring indexes(derived from rock fragmentation mechanisms)and Euclidean distance analysis to achieve real-time recommendations of TBM operational parameters.Key performance indicators-thrust(F),torque(T),and penetration(p)-were used to calculate three model-based boring indexes(a,b,k),which quantify dynamic rock fragmentation behavior.A dataset of 359 candidate samples,reflecting diverse geological conditions from the Yin-Chao water conveyance project in Inner Mongolia,China,was utilized to validate the framework.The system dynamically recommends parameters by matching real-time data with historical cases through standardized Euclidean distance,achieving high accuracy.Specifically,the mean absolute error(MAE)for rotation speed(n)was 0.10 r/min,corresponding to a mean absolute percentage error(MAPE)of 1.09%.For advance rate(v),the MAE was 3.4 mm/min,with a MAPE of 4.50%.The predicted thrust(F)and torque(T)values exhibited strong agreement with field measurements,with MAEs of 270 kN and 178 kN∙m,respectively.Field applications demonstrated a 30%reduction in parameter adjustment time compared to empirical methods.This work provides a robust solution for real-time TBM control,advancing intelligent tunneling in complex geological environments.展开更多
基金supported by the University-Industry Col aborative Education Program,China(220904860093831)。
文摘Porcine Contagious Pleuropneumonia(PCP)is a respiratory infectious disease of pigs caused by Actinobacillus pleuropneumoniae.The disease has been prevalent in pig farms since it was first identified in 1957(Pattison et al.1957).
文摘Background: The persistence of the rapid spread of the COVID-19 pandemic is linked to the appearance of several variants of SARS-CoV2 with an impact on biological diagnosis, treatment and vaccination. The United States Food and Drug Administration (FDA) has granted several SARS-CoV-2 detection tests Emergency Use Authorization (EUA) for diagnosis and better epidemiological surveillance. Thus, multiple RT-PCR tests have been developed and brought to market in order to meet the urgent need for the diagnosis of COVID-19. However, comparative data between these tests in clinical laboratories are scarcely available to assess their performance. Objective: To compare two molecular methods for detecting SARS-CoV-2: the RT-PCR, Allplex™2019-nCoV tests on CFX96 Bio-Rad and the Abbott m2000sp/rt RealTime SARS-CoV-2. Materials and Methods: Nasopharyngeal and oropharyngeal swabs were taken from patients to diagnose SARS-CoV-2 infection. For each sample, we searched for the virus with two different RT-PCR tests: 1) first on Abbott m2000 SARS-CoV-2 targeting the N and RdRp genes, 2) then on Allplex™2019-nCoV Assay looking for the E, N and RdRp genes. Results: Percentages of the agreement were calculated. A total of 100 samples that tested negative and 90 positives on Abbott m2000 SARS-CoV-2 were retested on Allplex™2019-nCoV. Overall agreement was 74.74% on all samples. The specific agreement was 84% and 64.4% respectively for negative and positive samples with the RealTime SARS-CoV-2 test. A positive correlation (r<sup>2</sup> = 0.63;p Conclusion: Our results showed good overall agreement between RT-PCR, Allplex™2019-nCoV and Abbott RealTime SARS-CoV-2 tests in the diagnosis of COVID-19. As the concordance is low for small viremias, the RT-PCR Allplex™2019-nCoV Assay would be better indicated during the acute and symptomatic phase of the disease.
基金the Major research program of national natural science foundation of China(91848206).
文摘Soft grippers research is gaining increasing attention for their flexibility.However,the conventional soft gripper primar-ily focuses on soft fingers,without considering the palm.This makes grasping forces concentrated in the fingertip areas,resulting in objects being prone to damage and instability during handling,especially for delicate items.Additionally,pre-transportation classification faces challenges:tactile methods are complex,visual methods are environment-sensitive,and both struggle with similar objects.To address these problems,inspired by the human hand's transition between finger grasp and palm support and the lotus's hierarchical structure,this paper proposes a dual-layer gripper,named IOSGrip-per.It features four pneumatic soft fingers and a rotational soft-rigid palm.Through coordinated control of the fingers and palm,it transitions concentrated fingertip squeeze force to distributed palm support force,reducing squeeze force and squeeze duration.Moreover,it integrates a range sensor and four load cells,enabling stable and accurate measurements of the object's height and weight.Furthermore,a classifier is developed based on K-nearest neighbor algorithm,allowing real-time object classification.Experiments demonstrate that compared to only using soft fingers,the IOSGripper signifi-cantly reduces the squeeze force on the objects(with 0 N squeeze force during palm support)and damage on the delicate object,while improving grasping stability.Its height and weight measurement errors are within 2 mm and 1 g,respectively.And it achieves high accuracy in three test scenarios,including classifying similar objects.This study provides useful insights for the design of soft grippers capable of human-like grasping and sorting tasks.
基金supported by the National Key R&D Program of China(2022YFE0200400).
文摘The accurate selection of operational parameters is critical for ensuring the safety,efficiency,and automation of Tunnel Boring Machine(TBM)operations.This study proposes a similarity-based framework integrating model-based boring indexes(derived from rock fragmentation mechanisms)and Euclidean distance analysis to achieve real-time recommendations of TBM operational parameters.Key performance indicators-thrust(F),torque(T),and penetration(p)-were used to calculate three model-based boring indexes(a,b,k),which quantify dynamic rock fragmentation behavior.A dataset of 359 candidate samples,reflecting diverse geological conditions from the Yin-Chao water conveyance project in Inner Mongolia,China,was utilized to validate the framework.The system dynamically recommends parameters by matching real-time data with historical cases through standardized Euclidean distance,achieving high accuracy.Specifically,the mean absolute error(MAE)for rotation speed(n)was 0.10 r/min,corresponding to a mean absolute percentage error(MAPE)of 1.09%.For advance rate(v),the MAE was 3.4 mm/min,with a MAPE of 4.50%.The predicted thrust(F)and torque(T)values exhibited strong agreement with field measurements,with MAEs of 270 kN and 178 kN∙m,respectively.Field applications demonstrated a 30%reduction in parameter adjustment time compared to empirical methods.This work provides a robust solution for real-time TBM control,advancing intelligent tunneling in complex geological environments.
