Objective To evaluate the capability of wrist pulse analysis in distinguishing three physiolog-ical and pathological conditions:healthy individuals,coronary heart disease(CHD)patients without a history of ischemic str...Objective To evaluate the capability of wrist pulse analysis in distinguishing three physiolog-ical and pathological conditions:healthy individuals,coronary heart disease(CHD)patients without a history of ischemic stroke,and CHD patients with a history of ischemic stroke.Methods Study participants were recruited from Shuguang East Hospital,Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,and Shanghai Municipal Hospital of Traditional Chinese Medicine,affiliated with Shanghai University of Traditional Chinese Medicine,from April 15 to September 15,2021.They were categorized into three groups:healthy controls(Group 1),CHD patients without a history of ischemic stroke(Group 2),and CHD patients with a history of ischemic stroke(Group 3).The wrist pulse signals of the study participants were non-invasively collected using a pulse diagnosis instrument.The linear time-domain features and nonlinear time-series multiscale entropy(MSE)features of the pulse signals were extracted using time-domain analysis and the MSE methods,which were subsequently compared between groups.Based on these extracted features,a recognition model was developed using a random forest(RF)algorithm.The classification performance of the models was evaluated using metrics,including accuracy,precision,recall,and F1-score derived from confusion matrix as well as the area under the receiver operating characteristics(ROC)curve(AUC).Results A total of 189 participants were enrolled,with 63 in Group 1,61 in Group 2,and 65 in Group 3.Compared with Group 1,Group 2 showed significant increases in pulse features H2/H1,H3/H1,W1,W2,and W2/T,and decreased in MSE_(1)-MSE7(P<0.05),while Group 3 showed significant increases in pulse features T5/T4,T,H1/T1,W1,W2,AS,and Ad,and de-creased in MSE_(1)-MSE_(20)(P<0.05).Compared with Group 2,Group 3 demonstrated notable increases in H1/T1 and As(P<0.05).The RF model achieved precision of 80.00%,61.54%,and 61.54%,recall of 74.29%,60.00%,and 68.97%,F1-scores of 70.04%,60.76%,and 65.04%,and AUC values of 0.92,0.74,and 0.81 for Groups 1,2,and 3,respectively.The overall accuracy was 67.69%,with micro-average AUC of 0.83 and macro-average AUC of 0.82.Conclusion Differences in pulse features reflect variations in arterial compliance,peripheral resistance,cardiac afterload,and pulse signal complexity among healthy individuals,CHD patients without a history of ischemic stroke,and those with such a history.The developed pulse-based recognition model holds the potential in distinguishing between these three groups,offering a novel diagnostic reference for clinical practice.展开更多
Being aimed at the weakness of short range target′s threshold value recognition system,the double passage And Gate recognition system was put forward on the correlativity of target signals and randomness of noise ...Being aimed at the weakness of short range target′s threshold value recognition system,the double passage And Gate recognition system was put forward on the correlativity of target signals and randomness of noise signals Through state analysis and inference of state transition probability,both the reliability and early burst probability of the system were obtained in theory展开更多
Differences are found in the attributes of microseismic events caused by coal seam rupture,underground structure activation,and groundwater movement in coal mine production.Based on these differences,accurate classific...Differences are found in the attributes of microseismic events caused by coal seam rupture,underground structure activation,and groundwater movement in coal mine production.Based on these differences,accurate classification and analysis of microseismic events are important for the water inrush warning of the coal mine working facefloor.Cluster analysis,which classifies samples according to data similarity,has remarkable advantages in nonlinear classification.A water inrush early warning method for coal minefloors is proposed in this paper.First,the short time average over long time average(STA/LTA)method is used to identify effective events from continuous microseismic records to realize the identification of microseismic events in coal mines.Then,ten attributes of microseismic events are extracted,and cluster analysis is conducted in the attribute domain to realize unsupervised classification of microseismic events.Clustering results of synthetic andfield data demonstrate the effectiveness of the proposed method.The analysis offield data clustering results shows that thefirst kind of events with time change rules is of considerable importance to the early warning of water inrush from the coal mine working facefloor.展开更多
A new identity-based （ID-based） aggregate signature scheme which does not need any kind of interaction among the signers was proposed to provide partial aggregation. Compared with the existing ID-based aggregate sig...A new identity-based （ID-based） aggregate signature scheme which does not need any kind of interaction among the signers was proposed to provide partial aggregation. Compared with the existing ID-based aggregate signatures, the scheme is more efficient in terms of computational cost, Security in the random oracle model based on a variant of the computation Diflle-Hellman （CDH） problem is captured.展开更多
In animals, signaling behavior is often context-dependent, with variation in the probability of emitting certain signals dependent on fitness advantages. Senders may adjust signaling rate depending on receiver identit...In animals, signaling behavior is often context-dependent, with variation in the probability of emitting certain signals dependent on fitness advantages. Senders may adjust signaling rate depending on receiver identity, presence of audiences, or noise masking the signal, all of which can affect the benefits and costs of signal production. In the cooperative breeding meerkat Suricata suricatta, group members emit soft contact calls, termed as ＂close calls＂, while foraging in order to maintain group cohesion. Here, we investigated how the close calling rate during foraging was affected by the presence of pups, that produce continuous, noisy begging calls as they follow older group members. Adults decreased their overall close call rate substantially when pups were foraging with the group in comparison to periods when no pups were present. We suggest this decrease was likely due to a masking effect of the loud begging calls, which makes the close call function of maintaining group cohesion partly redundant as the centrally located begging calls can be used in- stead to maintain cohesion. There was some support that adults use close calls strategically to at- tract specific pups based on fitness advantages, that is, as the philopatric sex, females should call more than males and more to female pups than male pups. Dominant females called more than dominant males when a pup was in close proximity, while subordinates showed no sex-based dif- ferences. The sex of the nearest pup did not affect the calling rate of adults. The study shows that meerkats modify their close call production depending on benefits gained from calling and provides an example of the flexible use of one calling system in the presence of another, here contact calls versus begging calls, within the same species.展开更多
基金National Natural Science Foundation of China(82074332)Shanghai Key Laboratory of Health Identification and Assessment(21DZ2271000)the 14th Batch of Science and Innovation Program for Undergraduates(202110268031).
文摘Objective To evaluate the capability of wrist pulse analysis in distinguishing three physiolog-ical and pathological conditions:healthy individuals,coronary heart disease(CHD)patients without a history of ischemic stroke,and CHD patients with a history of ischemic stroke.Methods Study participants were recruited from Shuguang East Hospital,Yueyang Hospital of Integrated Traditional Chinese and Western Medicine,and Shanghai Municipal Hospital of Traditional Chinese Medicine,affiliated with Shanghai University of Traditional Chinese Medicine,from April 15 to September 15,2021.They were categorized into three groups:healthy controls(Group 1),CHD patients without a history of ischemic stroke(Group 2),and CHD patients with a history of ischemic stroke(Group 3).The wrist pulse signals of the study participants were non-invasively collected using a pulse diagnosis instrument.The linear time-domain features and nonlinear time-series multiscale entropy(MSE)features of the pulse signals were extracted using time-domain analysis and the MSE methods,which were subsequently compared between groups.Based on these extracted features,a recognition model was developed using a random forest(RF)algorithm.The classification performance of the models was evaluated using metrics,including accuracy,precision,recall,and F1-score derived from confusion matrix as well as the area under the receiver operating characteristics(ROC)curve(AUC).Results A total of 189 participants were enrolled,with 63 in Group 1,61 in Group 2,and 65 in Group 3.Compared with Group 1,Group 2 showed significant increases in pulse features H2/H1,H3/H1,W1,W2,and W2/T,and decreased in MSE_(1)-MSE7(P<0.05),while Group 3 showed significant increases in pulse features T5/T4,T,H1/T1,W1,W2,AS,and Ad,and de-creased in MSE_(1)-MSE_(20)(P<0.05).Compared with Group 2,Group 3 demonstrated notable increases in H1/T1 and As(P<0.05).The RF model achieved precision of 80.00%,61.54%,and 61.54%,recall of 74.29%,60.00%,and 68.97%,F1-scores of 70.04%,60.76%,and 65.04%,and AUC values of 0.92,0.74,and 0.81 for Groups 1,2,and 3,respectively.The overall accuracy was 67.69%,with micro-average AUC of 0.83 and macro-average AUC of 0.82.Conclusion Differences in pulse features reflect variations in arterial compliance,peripheral resistance,cardiac afterload,and pulse signal complexity among healthy individuals,CHD patients without a history of ischemic stroke,and those with such a history.The developed pulse-based recognition model holds the potential in distinguishing between these three groups,offering a novel diagnostic reference for clinical practice.
文摘Being aimed at the weakness of short range target′s threshold value recognition system,the double passage And Gate recognition system was put forward on the correlativity of target signals and randomness of noise signals Through state analysis and inference of state transition probability,both the reliability and early burst probability of the system were obtained in theory
基金supported in part by the National Natural Science Foundation of China under Grant 41904098in part by the Beijing Nova Program under Grant 2022056in part by the National Natural Science Foundation of China (52174218)。
文摘Differences are found in the attributes of microseismic events caused by coal seam rupture,underground structure activation,and groundwater movement in coal mine production.Based on these differences,accurate classification and analysis of microseismic events are important for the water inrush warning of the coal mine working facefloor.Cluster analysis,which classifies samples according to data similarity,has remarkable advantages in nonlinear classification.A water inrush early warning method for coal minefloors is proposed in this paper.First,the short time average over long time average(STA/LTA)method is used to identify effective events from continuous microseismic records to realize the identification of microseismic events in coal mines.Then,ten attributes of microseismic events are extracted,and cluster analysis is conducted in the attribute domain to realize unsupervised classification of microseismic events.Clustering results of synthetic andfield data demonstrate the effectiveness of the proposed method.The analysis offield data clustering results shows that thefirst kind of events with time change rules is of considerable importance to the early warning of water inrush from the coal mine working facefloor.
文摘A new identity-based （ID-based） aggregate signature scheme which does not need any kind of interaction among the signers was proposed to provide partial aggregation. Compared with the existing ID-based aggregate signatures, the scheme is more efficient in terms of computational cost, Security in the random oracle model based on a variant of the computation Diflle-Hellman （CDH） problem is captured.
文摘In animals, signaling behavior is often context-dependent, with variation in the probability of emitting certain signals dependent on fitness advantages. Senders may adjust signaling rate depending on receiver identity, presence of audiences, or noise masking the signal, all of which can affect the benefits and costs of signal production. In the cooperative breeding meerkat Suricata suricatta, group members emit soft contact calls, termed as ＂close calls＂, while foraging in order to maintain group cohesion. Here, we investigated how the close calling rate during foraging was affected by the presence of pups, that produce continuous, noisy begging calls as they follow older group members. Adults decreased their overall close call rate substantially when pups were foraging with the group in comparison to periods when no pups were present. We suggest this decrease was likely due to a masking effect of the loud begging calls, which makes the close call function of maintaining group cohesion partly redundant as the centrally located begging calls can be used in- stead to maintain cohesion. There was some support that adults use close calls strategically to at- tract specific pups based on fitness advantages, that is, as the philopatric sex, females should call more than males and more to female pups than male pups. Dominant females called more than dominant males when a pup was in close proximity, while subordinates showed no sex-based dif- ferences. The sex of the nearest pup did not affect the calling rate of adults. The study shows that meerkats modify their close call production depending on benefits gained from calling and provides an example of the flexible use of one calling system in the presence of another, here contact calls versus begging calls, within the same species.
