Animal behavior analysis plays a pivotal role in neuroscience,behavioral ecology,animal welfare,and precision agriculture.However,traditional manual observation methods are often subjective,labor-intensive,and insuffi...Animal behavior analysis plays a pivotal role in neuroscience,behavioral ecology,animal welfare,and precision agriculture.However,traditional manual observation methods are often subjective,labor-intensive,and insufficient for largescale quantification.The advent of deep learning has revolutionized this field,enabling automated,high-throughput and accurate analysis particularly in complex group settings.This review provides a comprehensive overview of recent advances in deep learning-based animal group pose estimation and behavior analysis.It systematically outlines the key stages from data acquisition to behavior interpretation,including object detection,multi-animal tracking,pose estimation,and individual identification.Representative models and tools are critically evaluated,along with their applications across various species and experimental contexts.While notable advancements have been attained-including refined occlusion handling via part affinity fields and augmented temporal behavior recognition through video transformers-several core challenges persist.These include robustness in wild environments,rare behavior detection and long-term identity preservation.Future research should focus on end-to-end joint modeling,data-efficient learning paradigms and multimodal data integration for advancing robust and intelligent systems.This review aims to provide researchers with a panoramic view of the field,highlighting key methodologies and directions for future development.展开更多
BACKGROUND Group cognitive behavioral therapy(GCBT)is increasingly being used to treat obsessive-compulsive disorder(OCD)because of its high efficiency,economy,and interaction among group members.However,the changes i...BACKGROUND Group cognitive behavioral therapy(GCBT)is increasingly being used to treat obsessive-compulsive disorder(OCD)because of its high efficiency,economy,and interaction among group members.However,the changes in network functional connectivity(FC)in patients with OCD with GCBT remain unclear.AIM To investigate inter-and intra-network resting-state FC(rs-FC)abnormalities before and after GCBT in unmedicated patients with OCD and validate the efficacy of GCBT.METHODS Overall,33 individuals with OCD and 26 healthy controls underwent resting-state functional magnetic resonance imaging.The patients were rescanned 12 weeks after GCBT.Four cognition-related networks-default mode network(DMN),dorsal attention network(DAN),salience network(SAN),and frontoparietal network(FPN)-were selected to examine FC abnormalities within and between OCD networks before and after GCBT.Neuropsychological assessments including memory,executive function,speech,attention,and visuospatial ability were reassessed following GCBT.Pearson’s correlations were used to analyze the relationship between aberrant FC in cognition-related networks and altered neuropsychological assessments in patients.RESULTS Rs-FC within the DMN and DAN decreased significantly.Additionally,rs-FC between the DMN-DAN,DMNFPN,DMN-SAN,and DAN-SAN also decreased.Significant improvements were observed in cognitive functions,such as memory,executive function,attention,and visuospatial ability.Furthermore,reduced rs-FC within the DMN correlated with visuospatial ability and executive function;DAN positively correlated with Shape Trails Test(STT)-A test elapsed time;DMN-DAN negatively correlated with Rey-Osterrieth Complex Figure(Rey-O)mimicry time and the three elapsed times of the tower of Hanoi;DMN-SAN negatively correlated with Rey-O imitation time and positively correlated with STT-A test elapsed time;and DMN-FPN negatively correlated with Auditory Word Learning Test N1 and N4 scores.CONCLUSION Decreased rs-FC within the DMN and DAN,which correlated with executive function post-treatment,has potential as a neuroimaging marker to predict treatment response to GCBT in patients with OCD.展开更多
Group behavior forecasting is an emergent re- search and application field in social computing. Most of the existing group behavior forecasting methods have heavily re- lied on structured data which is usually hard to...Group behavior forecasting is an emergent re- search and application field in social computing. Most of the existing group behavior forecasting methods have heavily re- lied on structured data which is usually hard to obtain. To ease the heavy reliance on structured data, in this paper, we pro- pose a computational approach based on the recognition of multiple plans/intentions underlying group behavior. We fur- ther conduct human experiment to empirically evaluate the effectiveness of our proposed approach.展开更多
Due to the increasing demand for security, the development of intelligent surveillance systems has attracted considerable attention in recent years. This study aims to develop a system that is able to identify whether...Due to the increasing demand for security, the development of intelligent surveillance systems has attracted considerable attention in recent years. This study aims to develop a system that is able to identify whether or not the people need help in a public place. Different from previous work, our work considers not only the behaviors of the target person but also the interaction between him and nearby people. In the paper, we propose an event alarm system which can detect the human behaviors and recognize the happening event through integrating the results generated from the single and group behavior analysis. Several new effective features are proposed in the study. Besides, a mechanism capable of extracting one-to-one and multiple-to-one relations is also developed. Experimental results show that the proposed approach can correctly detect human behaviors and provide the alarm messages when emergency events occur.展开更多
A common but flawed design in existing CNN architectures is using strided convolutions and/or pooling layer,which will result in the loss of fine-grained feature information,especially for low-resolution images and sm...A common but flawed design in existing CNN architectures is using strided convolutions and/or pooling layer,which will result in the loss of fine-grained feature information,especially for low-resolution images and small objects.In this paper,a new CNN building block named SPD-Conv was used,which completely eliminated stride and pooling operations and replaced them with a space-to-depth convolution and a non-strided convolution.Such new design has the advantage of downsampling feature maps while retaining discriminant feature information.It also represents a general unified method,which can be easily applied to any CNN architectures,and can also be applied to strided conversion and pooling in the same way.展开更多
BACKGROUND The efficacy of cognitive behavioral group therapy(CBGT)for cognitive dysfunction and negative symptoms of schizophrenia is established,but more evidence is required.AIM To assess the effectiveness of CBGT ...BACKGROUND The efficacy of cognitive behavioral group therapy(CBGT)for cognitive dysfunction and negative symptoms of schizophrenia is established,but more evidence is required.AIM To assess the effectiveness of CBGT combined with mental health education as a treatment for schizophrenia compared with mental health education alone.METHODS In all,120 schizophrenia out-patients were randomized into CBGT combined with mental health education or single mental health education.The primary outcomes were positive and negative symptoms,cognitive function,excitatory factor,anxiety and depression symptom improvements on the positive and negative syndrome scale score.Secondary outcome measures included social function and drug compliance.RESULTS There were significant differences between CBGT combined with mental health education and single mental health education on measures of positive and negative symptoms,cognitive functions,excitatory factor,anxiety and depression symptoms,and social functions.No other significant difference in outcomes was observed.CONCLUSION CBGT combined with mental health education may be relevant beneficial treatment method in reducing symptoms,cognitive and social functions of patients with schizophrenia.展开更多
BACKGROUND At the end of 2019,a new epidemic of viral pneumonia emerged in China and was determined to be caused by a novel coronavirus,which was named coronavirus disease 2019(COVID-19)by the World Health Organizatio...BACKGROUND At the end of 2019,a new epidemic of viral pneumonia emerged in China and was determined to be caused by a novel coronavirus,which was named coronavirus disease 2019(COVID-19)by the World Health Organization.The epidemic quickly spread,causing a worldwide pandemic.Scientists and clinicians across the globe have shifted their research efforts towards understanding the virus itself and its epidemiology.CASE SUMMARY In mid-January 2020,a Chinese family made a visit to a local city,and within the next 2 wk one after another fell ill with COVID-19.At the beginning of their first illness onset,the family had eaten in a restaurant,which led to the subsequent illness onset in another two families.All cases were diagnosed as COVID-19 by real-time fluorescent reverse transcription-polymerase chain reaction.Epidemiological investigation showed that the transmission chain was complete.CONCLUSION This chain of social exposure highlights the danger of group aggregative behavior for spread of COVID-19.展开更多
Purpose: This study analyzed treatment effects of cognitive behavioral therapy (CBT) group counseling intervention on HIV transmission risk behavior, depression, anxiety, and alcohol use in HIV perinatally infected ad...Purpose: This study analyzed treatment effects of cognitive behavioral therapy (CBT) group counseling intervention on HIV transmission risk behavior, depression, anxiety, and alcohol use in HIV perinatally infected adolescents attending an HIV clinical care center in Uganda, Africa. Method: A total of 186 adolescents were randomly assigned to an experimental or control arm and assigned into groups of 11 - 16 adolescents. The experimental groups received an 80-minute CBT based weekly intervention for 8 consecutive weeks, while the control groups received only standard group care. Data from self report assessments were analyzed at pre- and post-test using repeated measures of analysis of variance. The participants, analyzed by variable, included 115 for sexual behavior, 106 for depression, 88 for anxiety, and 115 for alcohol use. Results: The results from the study show a large significant difference (p = 0.006) between the experimental and control groups on the anxiety variable. There were no significant differences between the experimental and control groups on the variables of sexual behavior (p = 0.876), depression (p = 0.700), and alcohol use (p = 0.815). There was an indication of reduced levels of HIV sexual transmission risk behavior, depression, and alcohol use levels in the participants in both the experimental and control groups. Conclusions: Risky sexual behavior places HIV perinatally infected adolescents at risk of re-infection, sexually transmitted diseases, and transmitting HIV to their sexual partners. CBT group counseling intervention equipped the participating adolescents with appropriate life skills to deal with psychological distress and anxiety often seen in their lives and may be useful in routine medical care to reduce transmission risks and improve wellness and call for its incorporation into HIV preventive programs and counselor education.展开更多
To clarify the determinant factors and inter-group differences of Chinese urban residents' edible vegetable oil consuming behavior is very important for us to understand their consumption features of edible vegeta...To clarify the determinant factors and inter-group differences of Chinese urban residents' edible vegetable oil consuming behavior is very important for us to understand their consumption features of edible vegetable oil,so as to guide their consuming behavior and improve China's vegetable oil industry security.In this article,urban residents of China's three traditional vegetable oil main production areas have been chosen as study objects,and multiple linear regression and one-way ANOVA have been used to do empirical analysis on the determinant factors and inter-group differences of their edible vegetable oil consuming behavior.The results indicate that the edible vegetable oil consuming behavior of urban residents from China's three traditional vegetable oil main production areas show a trend of diversification;" publicity measures"," preference evaluation"," personal characteristics" and " family characteristics" remarkably affect urban residents' edible vegetable oil consuming behavior and show obvious provincial characteristics.In addition,urban residents from different groups show differences in terms of " publicity measures" and " preference evaluation".展开更多
This paper analyzes the characteristics of emotion state and group behavior in the evacuation process.During the emergency evacuation,emotion state and group behavior are interacting with each other,and indivisible.Th...This paper analyzes the characteristics of emotion state and group behavior in the evacuation process.During the emergency evacuation,emotion state and group behavior are interacting with each other,and indivisible.The emotion spread model with the effect of group behavior,and the leader-follower model with the effect of emotion state are proposed.On this basis,exit choice strategies with the effect of emotion state and group behavior are proposed.Fusing emotion spread model,leader-follower model,and exit choice strategies into a cellular automata(CA)-based pedestrian simulation model,we simulate the evacuation process in a multi-exit case.Simulation results indicate that panic emotion and group behavior are two negative influence factors for pedestrian evacuation.Compared with panic emotion or group behavior only,pedestrian evacuation efficiency with the effects of both is lower.展开更多
This paper proposes the solution of tasks set required for autonomous robotic group behavior optimization during the mission on a distributed area in a cluttered hazardous terrain.The navigation scheme uses the benefi...This paper proposes the solution of tasks set required for autonomous robotic group behavior optimization during the mission on a distributed area in a cluttered hazardous terrain.The navigation scheme uses the benefits of the original real-time technical vision system(TVS)based on a dynamic triangulation principle.The method uses TVS output data with fuzzy logic rules processing for resolution stabilization.Based on previous researches,the dynamic communication network model is modified to implement the propagation of information with a feedback method for more stable data exchange inside the robotic group.According to the comparative analysis of approximation methods,in this paper authors are proposing to use two-steps post-processing path planning aiming to get a smooth and energy-saving trajectory.The article provides a wide range of studies and computational experiment results for different scenarios for evaluation of common cloud point influence on robotic motion planning.展开更多
文摘Animal behavior analysis plays a pivotal role in neuroscience,behavioral ecology,animal welfare,and precision agriculture.However,traditional manual observation methods are often subjective,labor-intensive,and insufficient for largescale quantification.The advent of deep learning has revolutionized this field,enabling automated,high-throughput and accurate analysis particularly in complex group settings.This review provides a comprehensive overview of recent advances in deep learning-based animal group pose estimation and behavior analysis.It systematically outlines the key stages from data acquisition to behavior interpretation,including object detection,multi-animal tracking,pose estimation,and individual identification.Representative models and tools are critically evaluated,along with their applications across various species and experimental contexts.While notable advancements have been attained-including refined occlusion handling via part affinity fields and augmented temporal behavior recognition through video transformers-several core challenges persist.These include robustness in wild environments,rare behavior detection and long-term identity preservation.Future research should focus on end-to-end joint modeling,data-efficient learning paradigms and multimodal data integration for advancing robust and intelligent systems.This review aims to provide researchers with a panoramic view of the field,highlighting key methodologies and directions for future development.
基金Supported by the Pharmaceutical Science and Technology Project of Zhejiang Province,No.2023RC266the Natural Science Foundation of Ningbo,No.202003N4266.
文摘BACKGROUND Group cognitive behavioral therapy(GCBT)is increasingly being used to treat obsessive-compulsive disorder(OCD)because of its high efficiency,economy,and interaction among group members.However,the changes in network functional connectivity(FC)in patients with OCD with GCBT remain unclear.AIM To investigate inter-and intra-network resting-state FC(rs-FC)abnormalities before and after GCBT in unmedicated patients with OCD and validate the efficacy of GCBT.METHODS Overall,33 individuals with OCD and 26 healthy controls underwent resting-state functional magnetic resonance imaging.The patients were rescanned 12 weeks after GCBT.Four cognition-related networks-default mode network(DMN),dorsal attention network(DAN),salience network(SAN),and frontoparietal network(FPN)-were selected to examine FC abnormalities within and between OCD networks before and after GCBT.Neuropsychological assessments including memory,executive function,speech,attention,and visuospatial ability were reassessed following GCBT.Pearson’s correlations were used to analyze the relationship between aberrant FC in cognition-related networks and altered neuropsychological assessments in patients.RESULTS Rs-FC within the DMN and DAN decreased significantly.Additionally,rs-FC between the DMN-DAN,DMNFPN,DMN-SAN,and DAN-SAN also decreased.Significant improvements were observed in cognitive functions,such as memory,executive function,attention,and visuospatial ability.Furthermore,reduced rs-FC within the DMN correlated with visuospatial ability and executive function;DAN positively correlated with Shape Trails Test(STT)-A test elapsed time;DMN-DAN negatively correlated with Rey-Osterrieth Complex Figure(Rey-O)mimicry time and the three elapsed times of the tower of Hanoi;DMN-SAN negatively correlated with Rey-O imitation time and positively correlated with STT-A test elapsed time;and DMN-FPN negatively correlated with Auditory Word Learning Test N1 and N4 scores.CONCLUSION Decreased rs-FC within the DMN and DAN,which correlated with executive function post-treatment,has potential as a neuroimaging marker to predict treatment response to GCBT in patients with OCD.
文摘Group behavior forecasting is an emergent re- search and application field in social computing. Most of the existing group behavior forecasting methods have heavily re- lied on structured data which is usually hard to obtain. To ease the heavy reliance on structured data, in this paper, we pro- pose a computational approach based on the recognition of multiple plans/intentions underlying group behavior. We fur- ther conduct human experiment to empirically evaluate the effectiveness of our proposed approach.
基金supported by the“MOST”under Grant No.104-2221-E-259-024-MY2
文摘Due to the increasing demand for security, the development of intelligent surveillance systems has attracted considerable attention in recent years. This study aims to develop a system that is able to identify whether or not the people need help in a public place. Different from previous work, our work considers not only the behaviors of the target person but also the interaction between him and nearby people. In the paper, we propose an event alarm system which can detect the human behaviors and recognize the happening event through integrating the results generated from the single and group behavior analysis. Several new effective features are proposed in the study. Besides, a mechanism capable of extracting one-to-one and multiple-to-one relations is also developed. Experimental results show that the proposed approach can correctly detect human behaviors and provide the alarm messages when emergency events occur.
文摘A common but flawed design in existing CNN architectures is using strided convolutions and/or pooling layer,which will result in the loss of fine-grained feature information,especially for low-resolution images and small objects.In this paper,a new CNN building block named SPD-Conv was used,which completely eliminated stride and pooling operations and replaced them with a space-to-depth convolution and a non-strided convolution.Such new design has the advantage of downsampling feature maps while retaining discriminant feature information.It also represents a general unified method,which can be easily applied to any CNN architectures,and can also be applied to strided conversion and pooling in the same way.
基金Supported by Science and Technology Innovation Bureau,Longhua District,Shenzhen,Guangdong Province,China,No.2020202.
文摘BACKGROUND The efficacy of cognitive behavioral group therapy(CBGT)for cognitive dysfunction and negative symptoms of schizophrenia is established,but more evidence is required.AIM To assess the effectiveness of CBGT combined with mental health education as a treatment for schizophrenia compared with mental health education alone.METHODS In all,120 schizophrenia out-patients were randomized into CBGT combined with mental health education or single mental health education.The primary outcomes were positive and negative symptoms,cognitive function,excitatory factor,anxiety and depression symptom improvements on the positive and negative syndrome scale score.Secondary outcome measures included social function and drug compliance.RESULTS There were significant differences between CBGT combined with mental health education and single mental health education on measures of positive and negative symptoms,cognitive functions,excitatory factor,anxiety and depression symptoms,and social functions.No other significant difference in outcomes was observed.CONCLUSION CBGT combined with mental health education may be relevant beneficial treatment method in reducing symptoms,cognitive and social functions of patients with schizophrenia.
基金The Guangzhou Science and Technology Program Key Projects,No.201704030132.
文摘BACKGROUND At the end of 2019,a new epidemic of viral pneumonia emerged in China and was determined to be caused by a novel coronavirus,which was named coronavirus disease 2019(COVID-19)by the World Health Organization.The epidemic quickly spread,causing a worldwide pandemic.Scientists and clinicians across the globe have shifted their research efforts towards understanding the virus itself and its epidemiology.CASE SUMMARY In mid-January 2020,a Chinese family made a visit to a local city,and within the next 2 wk one after another fell ill with COVID-19.At the beginning of their first illness onset,the family had eaten in a restaurant,which led to the subsequent illness onset in another two families.All cases were diagnosed as COVID-19 by real-time fluorescent reverse transcription-polymerase chain reaction.Epidemiological investigation showed that the transmission chain was complete.CONCLUSION This chain of social exposure highlights the danger of group aggregative behavior for spread of COVID-19.
文摘Purpose: This study analyzed treatment effects of cognitive behavioral therapy (CBT) group counseling intervention on HIV transmission risk behavior, depression, anxiety, and alcohol use in HIV perinatally infected adolescents attending an HIV clinical care center in Uganda, Africa. Method: A total of 186 adolescents were randomly assigned to an experimental or control arm and assigned into groups of 11 - 16 adolescents. The experimental groups received an 80-minute CBT based weekly intervention for 8 consecutive weeks, while the control groups received only standard group care. Data from self report assessments were analyzed at pre- and post-test using repeated measures of analysis of variance. The participants, analyzed by variable, included 115 for sexual behavior, 106 for depression, 88 for anxiety, and 115 for alcohol use. Results: The results from the study show a large significant difference (p = 0.006) between the experimental and control groups on the anxiety variable. There were no significant differences between the experimental and control groups on the variables of sexual behavior (p = 0.876), depression (p = 0.700), and alcohol use (p = 0.815). There was an indication of reduced levels of HIV sexual transmission risk behavior, depression, and alcohol use levels in the participants in both the experimental and control groups. Conclusions: Risky sexual behavior places HIV perinatally infected adolescents at risk of re-infection, sexually transmitted diseases, and transmitting HIV to their sexual partners. CBT group counseling intervention equipped the participating adolescents with appropriate life skills to deal with psychological distress and anxiety often seen in their lives and may be useful in routine medical care to reduce transmission risks and improve wellness and call for its incorporation into HIV preventive programs and counselor education.
基金Supported by Special Construction Funds for National Rape Industry Technology System(CARS-13)Key Consulting Project of the Chinese Academy of Engineering(4005-35013019)
文摘To clarify the determinant factors and inter-group differences of Chinese urban residents' edible vegetable oil consuming behavior is very important for us to understand their consumption features of edible vegetable oil,so as to guide their consuming behavior and improve China's vegetable oil industry security.In this article,urban residents of China's three traditional vegetable oil main production areas have been chosen as study objects,and multiple linear regression and one-way ANOVA have been used to do empirical analysis on the determinant factors and inter-group differences of their edible vegetable oil consuming behavior.The results indicate that the edible vegetable oil consuming behavior of urban residents from China's three traditional vegetable oil main production areas show a trend of diversification;" publicity measures"," preference evaluation"," personal characteristics" and " family characteristics" remarkably affect urban residents' edible vegetable oil consuming behavior and show obvious provincial characteristics.In addition,urban residents from different groups show differences in terms of " publicity measures" and " preference evaluation".
基金Project supported by the National Key Research and Development Program of China(Grant No.2017YFC0803903)the National Natural Science Foundation of China(Grant No.62003182)。
文摘This paper analyzes the characteristics of emotion state and group behavior in the evacuation process.During the emergency evacuation,emotion state and group behavior are interacting with each other,and indivisible.The emotion spread model with the effect of group behavior,and the leader-follower model with the effect of emotion state are proposed.On this basis,exit choice strategies with the effect of emotion state and group behavior are proposed.Fusing emotion spread model,leader-follower model,and exit choice strategies into a cellular automata(CA)-based pedestrian simulation model,we simulate the evacuation process in a multi-exit case.Simulation results indicate that panic emotion and group behavior are two negative influence factors for pedestrian evacuation.Compared with panic emotion or group behavior only,pedestrian evacuation efficiency with the effects of both is lower.
文摘This paper proposes the solution of tasks set required for autonomous robotic group behavior optimization during the mission on a distributed area in a cluttered hazardous terrain.The navigation scheme uses the benefits of the original real-time technical vision system(TVS)based on a dynamic triangulation principle.The method uses TVS output data with fuzzy logic rules processing for resolution stabilization.Based on previous researches,the dynamic communication network model is modified to implement the propagation of information with a feedback method for more stable data exchange inside the robotic group.According to the comparative analysis of approximation methods,in this paper authors are proposing to use two-steps post-processing path planning aiming to get a smooth and energy-saving trajectory.The article provides a wide range of studies and computational experiment results for different scenarios for evaluation of common cloud point influence on robotic motion planning.
