Demand-responsive transportation has been introduced in many cities around the world.However,whether it is applicable in the railway is still questionable,an exploration of passenger choice behavior between demandresp...Demand-responsive transportation has been introduced in many cities around the world.However,whether it is applicable in the railway is still questionable,an exploration of passenger choice behavior between demandresponsive trains and pre-scheduled trains is pivotal in addressing this issue.To delve into passengers’choice preferences when facing demand-responsive trains and to dissect the feasibility of implementing demandresponsive service in high-speed railways,the stated preference survey method is employed to investigate travel intention of passengers.Based on the survey data obtained in China,the heterogeneity of passengers is analyzed from three aspects:personal socio-economic characteristics,travel characteristics,and travel mode choice.Considering the situation that demand-responsive train cannot operate,the risk attributes are considered.To bolster the appeal of demand-responsive trains,personalized service product attributes are added.Mixed Logit mode,which takes into account the heterogeneous travel choice behavior of passengers,is developed,and Maximum Likelihood Estimation and the Monte Carlo method are used to calibrate model parameters.The willingness to pay in terms of different factors of passengers is determined.The results indicate that early arrival deviation time,late arrival deviation time,demand response time,and success rate of ticket purchase remarkable influence passengers’decision regarding demand-responsive train,with only the success rate of ticket purchase positively impacting train choice.Moreover,the significant difference in train ticket price is observed solely in the self-funded long distance scenario,while demand-responsive trains are found to be particularly appealing in self-funded short distance scenario.Through the Willingness To Pay(WTP)analysis,it is discovered that by shortening demand response time,enhancing the success rate of ticket purchase,and minimizing the deviation times of early arrival and late arrival of trains,the attractiveness of the demand-responsive train to passengers under three travel scenarios can be augmented.This study provides profound insights into the possibility of railway enterprises operating demand-responsive trains.展开更多
In this paper,we introduce the combining stated preference and revealed preference methods which is the state-ofthe-art method for the valuation of non-market goods.Revealed preference methods and stated preference (S...In this paper,we introduce the combining stated preference and revealed preference methods which is the state-ofthe-art method for the valuation of non-market goods.Revealed preference methods and stated preference (SP) methods have both been applied by economists in valuing non-market goods;however both methods have inherent weaknesses.In order to exploit the strengths of the various approaches while minimizing their weaknesses,combining the two methods has become an important methodological option.Up to now,a growing number of literatures of studying combing the two types of data have evolved,and researchers developed three types of models to estimate combining revealed preference and stated preference data in academic fields:discrete choice model,continuous choice model and mixed choice model.Combining stated and revealed preference methods have been developed fast especially in the transport study field in which ideas could also be leant for environmental economic studies.展开更多
In this article, linear regular index 2 DAEs A（t）[D（t）x（t）]＇ ＋ B（t）x（t） = q（t） are considered. Using a decoupling technique, initial condition and boundary condition are properly formulated. Regular inde...In this article, linear regular index 2 DAEs A（t）[D（t）x（t）]＇ ＋ B（t）x（t） = q（t） are considered. Using a decoupling technique, initial condition and boundary condition are properly formulated. Regular index 1 DAEs are obtained by a regularization method. We study the behavior of the solution of the regularization system via asymptotic expansions. The error analysis between the solutions of the DAEs and its regularization system is given.展开更多
On July 2,2002, Bureau of International Exhibition’s (BIE) 131st General Assemblywas convened in Paris. The assembly examined the investigation report by BIE InvestigationDelegation for those application countries. V...On July 2,2002, Bureau of International Exhibition’s (BIE) 131st General Assemblywas convened in Paris. The assembly examined the investigation report by BIE InvestigationDelegation for those application countries. Various application countries stated reportsrespectively.The Chinese Government Delegation headed by State Councilor Wu Yi attended the assembly, and stated report on China’s Shanghai making application to hold 2010 World Fair.展开更多
To decide about irvestments in appropriate seismic vulnerability reduction and resilience enhancement mea-sures,policymakers need to acquire adequate insight into the value of a statistical life(VSL).The VSL measures ...To decide about irvestments in appropriate seismic vulnerability reduction and resilience enhancement mea-sures,policymakers need to acquire adequate insight into the value of a statistical life(VSL).The VSL measures the monetary value the public assigns to reducing mortality due to a specific risk(e.g-.dying from an earthquake)over a given period.In the absence of appropriate models to estimate the context-specific VSL for a given community,past studies have resorted to approaches such as using the VSL estimated for other purposes(e.g.,transportation and environmental safety)or other countries(e.g,the US).This can lead to under-or over-estimation of VSL,misappropriation of the funds for seismic vulnerability reduction programs,and adverse economic,political,and social consequences.This study proposes a methodology that follows the stated pref-erence binary choice approach to estimate the willingness to pay(WTP)to reduce the risk of earthquake-induced mortalities.The proposed method,which is applied to quantify VSL in Iran,involves using a questionnaire to collect the needed information about people's choices when investing in various risk reduction measures.It uses a test containing positivity and proportionality components to check the responses'consistency.Regression modeling is used to estimate the respondents'WTP and VSL.展开更多
The conventional traffic demand forecasting methods based on revealed preference （RP） data are not able to predict the modal split. Passengers＇ stated intentions are indispensable for modal split forecasting and ev...The conventional traffic demand forecasting methods based on revealed preference （RP） data are not able to predict the modal split. Passengers＇ stated intentions are indispensable for modal split forecasting and evaluation of new traffic modes. This paper analyzed the biases and errors included in stated preference data, put forward the new stochastic utility functions, and proposed an unbiased disaggregate model and its approximate model based on the combination of RP and stated preference （SP） data, with analysis of the parameter estimation algorithm. The model was also used to forecast rail transit passenger volumes to the Beijing Capital International Airport and the shift ratios from current traffic modes to rail transit. Experimental results show that the model can greatly increase forecasting accuracy of the modal split ratio of current traffic modes and can accurately forecast the shift ratios from current modes to the new mode.展开更多
Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate ...Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate this challenge,we present an enhanced semi-supervised learning approach based on the Mean Teacher framework,incorporating a novel feature loss module to maximize classification performance with limited labeled samples.The model studies show that the proposed model surpasses both the baseline Mean Teacher model and fully supervised method in accuracy.Specifically,for datasets with 20%,30%,and 40%label ratios,using a single training iteration,the model yields accuracies of 78.61%,82.21%,and 85.2%,respectively,while multiple-cycle training iterations achieves 82.09%,81.97%,and 81.59%,respectively.Furthermore,scenario-specific training schemes are introduced to support diverse deployment need.These findings highlight the potential of the proposed technique in minimizing labeling requirements and advancing intelligent blast furnace diagnostics.展开更多
Stem cell proliferation is tightly regulated in developing and adult tissues through the coordinated action of cell-intrinsic and extracellular signals.Although many extracellular cues were identified,the cell-intrins...Stem cell proliferation is tightly regulated in developing and adult tissues through the coordinated action of cell-intrinsic and extracellular signals.Although many extracellular cues were identified,the cell-intrinsic mechanisms underlying the decision of a stem cell to proliferate,enter a dormant quiescent state or differentiate into a specific cell type remains incompletely understood.展开更多
BACKGROUND The prevalence of negative emotional states,such as anxiety and depression,has increased annually.Although personal habits are known to influence emotional regulation,the precise mechanisms underlying this ...BACKGROUND The prevalence of negative emotional states,such as anxiety and depression,has increased annually.Although personal habits are known to influence emotional regulation,the precise mechanisms underlying this relationship remain unclear.AIM To investigate emotion regulation habits impact on students negative emotions during lockdown,using the coronavirus disease 2019 pandemic as a case example.METHODS During the coronavirus disease 2019 lockdown,an online cross-sectional survey was conducted at a Chinese university.Emotional states were assessed using the Depression,Anxiety,and Stress Scale-21(DASS-21),while demographic data and emotion regulation habits were collected concurrently.Data analysis was performed using SPSS version 27.0 and includedχ^(2)-tests for intergroup comparisons,Spearman’s rank-order correlation coefficient analysis to examine associations,and stepwise linear regression modeling to explore the relationships between emotion regulation habits and emotional states.Statistical significance was set atα=0.05.RESULTS Among the 494 valid questionnaires analyzed,the prevalence rates of negative emotional states were as follows:Depression(65.0%),anxiety(69.4%),and stress(50.8%).DASS-21 scores(mean±SD)demonstrated significant symptomatology:Total(48.77±34.88),depression(16.21±12.18),anxiety(14.90±11.91),and stress(17.64±12.07).Significant positive intercorrelations were observed among all DASS-21 subscales(P<0.01).Regression analysis identified key predictors of negative emotions(P<0.05):Risk factors included late-night frequency and academic pressure,while protective factors were the frequency of parental contact and the number of same-gender friends.Additionally,compensatory spending and binge eating positively predicted all negative emotion scores(β>0,P<0.01),whereas appropriate recreational activities negatively predicted these scores(β<0,P<0.01).CONCLUSION High negative emotion prevalence occurred among confined students.Recreational activities were protective,while compensatory spending and binge eating were risk factors,necessitating guided emotion regulation.展开更多
Adult hippocampal neurogenesis is linked to memory formation in the adult brain,with new neurons in the hippocampus exhibiting greater plasticity during their immature stages compared to mature neurons.Abnormal adult ...Adult hippocampal neurogenesis is linked to memory formation in the adult brain,with new neurons in the hippocampus exhibiting greater plasticity during their immature stages compared to mature neurons.Abnormal adult hippocampal neurogenesis is closely associated with cognitive impairment in central nervous system diseases.Targeting and regulating adult hippocampal neurogenesis have been shown to improve cognitive deficits.This review aims to expand the current understanding and prospects of targeting neurogenesis in the treatment of cognitive impairment.Recent research indicates the presence of abnormalities in AHN in several diseases associated with cognitive impairment,including cerebrovascular diseases,Alzheimer's disease,aging-related conditions,and issues related to anesthesia and surgery.The role of these abnormalities in the cognitive deficits caused by these diseases has been widely recognized,and targeting AHN is considered a promising approach for treating cognitive impairment.However,the underlying mechanisms of this role are not yet fully understood,and the effectiveness of targeting abnormal adult hippocampal neurogenesis for treatment remains limited,with a need for further development of treatment methods and detection techniques.By reviewing recent studies,we classify the potential mechanisms of adult hippocampal neurogenesis abnormalities into four categories:immunity,energy metabolism,aging,and pathological states.In immunity-related mechanisms,abnormalities in meningeal,brain,and peripheral immunity can disrupt normal adult hippocampal neurogenesis.Lipid metabolism and mitochondrial function disorders are significant energy metabolism factors that lead to abnormal adult hippocampal neurogenesis.During aging,the inflammatory state of the neurogenic niche and the expression of aging-related microRNAs contribute to reduced adult hippocampal neurogenesis and cognitive impairment in older adult patients.Pathological states of the body and emotional disorders may also result in abnormal adult hippocampal neurogenesis.Among the current strategies used to enhance this form of neurogenesis,physical therapies such as exercise,transcutaneous electrical nerve stimulation,and enriched environments have proven effective.Dietary interventions,including energy intake restriction and nutrient optimization,have shown efficacy in both basic research and clinical trials.However,drug treatments,such as antidepressants and stem cell therapy,are primarily reported in basic research,with limited clinical application.The relationship between abnormal adult hippocampal neurogenesis and cognitive impairment has garnered widespread attention,and targeting the former may be an important strategy for treating the latter.However,the mechanisms underlying abnormal adult hippocampal neurogenesis remain unclear,and treatments are lacking.This highlights the need for greater focus on translating research findings into clinical practice.展开更多
BACKGROUND Approximately 30%of patients with head and neck cancer experience adverse effects caused by anxiety and depression.Considering the high prevalence,implementing customized interventions to ease adverse emoti...BACKGROUND Approximately 30%of patients with head and neck cancer experience adverse effects caused by anxiety and depression.Considering the high prevalence,implementing customized interventions to ease adverse emotional states is imperative.AIM To evaluate the efficacy of cognitive behavioral therapy(CBT)-based psychological interventions in improving the psychological well-being and quality of life(QoL)of patients with laryngeal carcinoma.METHODS This study enrolled 120 patients admitted from February 2022 to February 2024.The control group,comprising 50 participants,received standard supportive psychological care,while the research group,consisting 70 participants,underwent CBT-based interventions.Several clinical outcomes were systematically assessed that included postoperative recovery metrics(duration of tracheostomy and nasogastric tube dependence and length of hospitalization),psychological status(Self-Rating Anxiety Scale and Self-Rating Depression Scale),nutritional markers(serum albumin and hemoglobin levels),sleep quality(Self-Rating Scale of Sleep and Athens Insomnia Scale),and QoL(Functional Assessment of Cancer Therapy-Head and Neck).RESULTS The results demonstrated that the research group experienced superior outcomes,with significantly reduced durations of tracheostomy and nasogastric tube dependence,as well as shorter hospital stays,compared with the control group.Additionally,the research group exhibited markedly lower post-intervention Self-Rating Anxiety Scale,Self-Rating Depression Scale,Self-Rating Scale of Sleep,and Athens Insomnia Scale scores,along with minimal but higher change in serum albumin and hemoglobin levels compared with the control group.All five domains of Functional Assessment of Cancer Therapy-Head and Neck showed notable improvements in the research group,exceeding those observed in the control group.CONCLUSION CBT-based psychological support positively affects the mental well-being and QoL of patients with laryngeal carcinoma,highlighting its potential for broader clinical application.展开更多
Aging is considered the main risk factor for the development of several diseases,including the leading neurodegenerative disorders.While the cellular features of aging are complex and multifaceted,neuronal senescence ...Aging is considered the main risk factor for the development of several diseases,including the leading neurodegenerative disorders.While the cellular features of aging are complex and multifaceted,neuronal senescence has emerged as a major contributor and driver of this process in the mammalian cell.Cellular senescence is a programmed response to stress and irreparable damage,which drives the cell into an apoptosis-resistant,non-proliferative state.Senescent cells can also deleteriously affect neighboring,non-senescent cells.Senescence is a complex and multifaceted process associated with a wide range of cellular events,including the secretion of pro-inflammatory molecules and the arrest of the cell cycle.展开更多
With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State I...With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State Information(CSI)offers fine-grained temporal,frequency,and spatial insights into multipath propagation,making it a crucial data source for human-centric sensing.Recently,the integration of deep learning has significantly improved the robustness and automation of feature extraction from CSI in complex environments.This paper provides a comprehensive review of deep learning-enhanced human sensing based on CSI.We first outline mainstream CSI acquisition tools and their hardware specifications,then provide a detailed discussion of preprocessing methods such as denoising,time–frequency transformation,data segmentation,and augmentation.Subsequently,we categorize deep learning approaches according to sensing tasks—namely detection,localization,and recognition—and highlight representative models across application scenarios.Finally,we examine key challenges including domain generalization,multi-user interference,and limited data availability,and we propose future research directions involving lightweight model deployment,multimodal data fusion,and semantic-level sensing.展开更多
The Place Be it down to Shanghai's advantageous coastal location near Japan,our multitude of Japanese expats,or the unending Shanghainese love affair with seafood(or more likely,a combination of all three),high-qu...The Place Be it down to Shanghai's advantageous coastal location near Japan,our multitude of Japanese expats,or the unending Shanghainese love affair with seafood(or more likely,a combination of all three),high-quality sushi is relatively easy to find in this city-provided you are prepared to pay through the nose for it.展开更多
Shaoxing Lu has acquired another cafe worthy of the street’s cuteness,courtesy-surprisingly enough-of Lapis Group.The restaurant conglomerate,behind projects like Lapis Thai Kitchen and Lapis Yun,has scaled back thei...Shaoxing Lu has acquired another cafe worthy of the street’s cuteness,courtesy-surprisingly enough-of Lapis Group.The restaurant conglomerate,behind projects like Lapis Thai Kitchen and Lapis Yun,has scaled back their usual slick,major production to present Shanghai with a relaxed space for snacks and sips.The prime real estate here is at the wooden bar by the windows.展开更多
During big events, non-local private car travelers can be divided into two types which were returning in one day and in several days. It was demonstrated that those two kinds of travelers have distinct behavior on par...During big events, non-local private car travelers can be divided into two types which were returning in one day and in several days. It was demonstrated that those two kinds of travelers have distinct behavior on park and ride （P＆R）, due to their different travel demand and behavior attributes. In this paper focusing on the travelers returning in several days, the travel attributes and requirements for P＆R were analyzed with stated preference survey. A P＆R choice behavior disaggregated logit model was established and calibrated based on random utility theory. The model concludes three variables, which were travel time, parking fee and comprehensive attractiveness index for suburban satellite towns comparing to urban district. The results revealed that for travelers returning in several days the primary key point is increasing the attractiveness of suburban satellite towns.展开更多
When attending a symposium on private businesses on 17 February,Chinese President Xi Jinping underscored the immense opportunities within China’s private economy.He stated that the private sector enjoys broad prospec...When attending a symposium on private businesses on 17 February,Chinese President Xi Jinping underscored the immense opportunities within China’s private economy.He stated that the private sector enjoys broad prospects and great potential on the new journey in the new era,and that it is a prime time for private businesses and entrepreneurs to give full play to their capabilities.展开更多
Strengthening Global Climate Governance China is ready to work with Africa to promote global climate governance,uphold the principles of equity and common but differentiated responsibilities,and urge developed countri...Strengthening Global Climate Governance China is ready to work with Africa to promote global climate governance,uphold the principles of equity and common but differentiated responsibilities,and urge developed countries to acknowledge their historical responsibilities,fulfil their obligations,and provide financial,technological,and capacity-building support to developing nations,particularly those in Africa,Chinese Foreign Minister Wang Yi stated in a media interview following his visits to Namibia,the Republic of the Congo,Chad,and Nigeria in January.展开更多
Patients with complete spinal cord injury retain the potential for volitional muscle activity in muscles located below the spinal injury level.However,because of prolonged inactivity,initial attempts to activate these...Patients with complete spinal cord injury retain the potential for volitional muscle activity in muscles located below the spinal injury level.However,because of prolonged inactivity,initial attempts to activate these muscles may not effectively engage any of the remaining neurons in the descending pathway.A previous study unexpectedly found that a brief clinical round of passive activity significantly increased volitional muscle activation,as measured by surface electromyography.In this study,we further explored the effect of passive activity on surface electromyographic signals during volitional control tasks among individuals with complete spinal cord injury.Eleven patients with chronic complete thoracic spinal cord injury were recruited.Surface electromyography data from eight major leg muscles were acquired and compared before and after the passive activity protocol.The results indicated that the passive activity led to an increased number of activated volitional muscles and an increased frequency of activation.Although the cumulative root mean square of surface electromyography amplitude for volitional control of movement showed a slight increase after passive activity,the difference was not statistically significant.These findings suggest that brief passive activity may enhance the ability to initiate volitional muscle activity during surface electromyography tasks and underscore the potential of passive activity for improving residual motor control among patients with motor complete spinal cord injury.展开更多
Precisely estimating the state of health(SOH)of lithium-ion batteries is essential for battery management systems(BMS),as it plays a key role in ensuring the safe and reliable operation of battery systems.However,curr...Precisely estimating the state of health(SOH)of lithium-ion batteries is essential for battery management systems(BMS),as it plays a key role in ensuring the safe and reliable operation of battery systems.However,current SOH estimation methods often overlook the valuable temperature information that can effectively characterize battery aging during capacity degradation.Additionally,the Elman neural network,which is commonly employed for SOH estimation,exhibits several drawbacks,including slow training speed,a tendency to become trapped in local minima,and the initialization of weights and thresholds using pseudo-random numbers,leading to unstable model performance.To address these issues,this study addresses the challenge of precise and effective SOH detection by proposing a method for estimating the SOH of lithium-ion batteries based on differential thermal voltammetry(DTV)and an SSA-Elman neural network.Firstly,two health features(HFs)considering temperature factors and battery voltage are extracted fromthe differential thermal voltammetry curves and incremental capacity curves.Next,the Sparrow Search Algorithm(SSA)is employed to optimize the initial weights and thresholds of the Elman neural network,forming the SSA-Elman neural network model.To validate the performance,various neural networks,including the proposed SSA-Elman network,are tested using the Oxford battery aging dataset.The experimental results demonstrate that the method developed in this study achieves superior accuracy and robustness,with a mean absolute error(MAE)of less than 0.9%and a rootmean square error(RMSE)below 1.4%.展开更多
基金supported by the National Natural Science Foundation of China(No.72471023,71971019)the Fundamental Research Funds for the Central Universities(No.2024QYBS025).
文摘Demand-responsive transportation has been introduced in many cities around the world.However,whether it is applicable in the railway is still questionable,an exploration of passenger choice behavior between demandresponsive trains and pre-scheduled trains is pivotal in addressing this issue.To delve into passengers’choice preferences when facing demand-responsive trains and to dissect the feasibility of implementing demandresponsive service in high-speed railways,the stated preference survey method is employed to investigate travel intention of passengers.Based on the survey data obtained in China,the heterogeneity of passengers is analyzed from three aspects:personal socio-economic characteristics,travel characteristics,and travel mode choice.Considering the situation that demand-responsive train cannot operate,the risk attributes are considered.To bolster the appeal of demand-responsive trains,personalized service product attributes are added.Mixed Logit mode,which takes into account the heterogeneous travel choice behavior of passengers,is developed,and Maximum Likelihood Estimation and the Monte Carlo method are used to calibrate model parameters.The willingness to pay in terms of different factors of passengers is determined.The results indicate that early arrival deviation time,late arrival deviation time,demand response time,and success rate of ticket purchase remarkable influence passengers’decision regarding demand-responsive train,with only the success rate of ticket purchase positively impacting train choice.Moreover,the significant difference in train ticket price is observed solely in the self-funded long distance scenario,while demand-responsive trains are found to be particularly appealing in self-funded short distance scenario.Through the Willingness To Pay(WTP)analysis,it is discovered that by shortening demand response time,enhancing the success rate of ticket purchase,and minimizing the deviation times of early arrival and late arrival of trains,the attractiveness of the demand-responsive train to passengers under three travel scenarios can be augmented.This study provides profound insights into the possibility of railway enterprises operating demand-responsive trains.
文摘In this paper,we introduce the combining stated preference and revealed preference methods which is the state-ofthe-art method for the valuation of non-market goods.Revealed preference methods and stated preference (SP) methods have both been applied by economists in valuing non-market goods;however both methods have inherent weaknesses.In order to exploit the strengths of the various approaches while minimizing their weaknesses,combining the two methods has become an important methodological option.Up to now,a growing number of literatures of studying combing the two types of data have evolved,and researchers developed three types of models to estimate combining revealed preference and stated preference data in academic fields:discrete choice model,continuous choice model and mixed choice model.Combining stated and revealed preference methods have been developed fast especially in the transport study field in which ideas could also be leant for environmental economic studies.
基金Project supported by the Foundation for the Authors of the National Excellent Doctoral Thesis Award of China (200720)
文摘In this article, linear regular index 2 DAEs A（t）[D（t）x（t）]＇ ＋ B（t）x（t） = q（t） are considered. Using a decoupling technique, initial condition and boundary condition are properly formulated. Regular index 1 DAEs are obtained by a regularization method. We study the behavior of the solution of the regularization system via asymptotic expansions. The error analysis between the solutions of the DAEs and its regularization system is given.
文摘On July 2,2002, Bureau of International Exhibition’s (BIE) 131st General Assemblywas convened in Paris. The assembly examined the investigation report by BIE InvestigationDelegation for those application countries. Various application countries stated reportsrespectively.The Chinese Government Delegation headed by State Councilor Wu Yi attended the assembly, and stated report on China’s Shanghai making application to hold 2010 World Fair.
文摘To decide about irvestments in appropriate seismic vulnerability reduction and resilience enhancement mea-sures,policymakers need to acquire adequate insight into the value of a statistical life(VSL).The VSL measures the monetary value the public assigns to reducing mortality due to a specific risk(e.g-.dying from an earthquake)over a given period.In the absence of appropriate models to estimate the context-specific VSL for a given community,past studies have resorted to approaches such as using the VSL estimated for other purposes(e.g.,transportation and environmental safety)or other countries(e.g,the US).This can lead to under-or over-estimation of VSL,misappropriation of the funds for seismic vulnerability reduction programs,and adverse economic,political,and social consequences.This study proposes a methodology that follows the stated pref-erence binary choice approach to estimate the willingness to pay(WTP)to reduce the risk of earthquake-induced mortalities.The proposed method,which is applied to quantify VSL in Iran,involves using a questionnaire to collect the needed information about people's choices when investing in various risk reduction measures.It uses a test containing positivity and proportionality components to check the responses'consistency.Regression modeling is used to estimate the respondents'WTP and VSL.
文摘The conventional traffic demand forecasting methods based on revealed preference （RP） data are not able to predict the modal split. Passengers＇ stated intentions are indispensable for modal split forecasting and evaluation of new traffic modes. This paper analyzed the biases and errors included in stated preference data, put forward the new stochastic utility functions, and proposed an unbiased disaggregate model and its approximate model based on the combination of RP and stated preference （SP） data, with analysis of the parameter estimation algorithm. The model was also used to forecast rail transit passenger volumes to the Beijing Capital International Airport and the shift ratios from current traffic modes to rail transit. Experimental results show that the model can greatly increase forecasting accuracy of the modal split ratio of current traffic modes and can accurately forecast the shift ratios from current modes to the new mode.
基金financial support provided by the Natural Science Foundation of Hebei Province,China(No.E2024105036)the Tangshan Talent Funding Project,China(Nos.B202302007 and A2021110015)+1 种基金the National Natural Science Foundation of China(No.52264042)the Australian Research Council(No.IH230100010)。
文摘Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate this challenge,we present an enhanced semi-supervised learning approach based on the Mean Teacher framework,incorporating a novel feature loss module to maximize classification performance with limited labeled samples.The model studies show that the proposed model surpasses both the baseline Mean Teacher model and fully supervised method in accuracy.Specifically,for datasets with 20%,30%,and 40%label ratios,using a single training iteration,the model yields accuracies of 78.61%,82.21%,and 85.2%,respectively,while multiple-cycle training iterations achieves 82.09%,81.97%,and 81.59%,respectively.Furthermore,scenario-specific training schemes are introduced to support diverse deployment need.These findings highlight the potential of the proposed technique in minimizing labeling requirements and advancing intelligent blast furnace diagnostics.
基金supported by the Argentine Agency for the Promotion of Science and Technology ANPCyT(PICT2019-1472 to GP,PICT2019-4597 to FL,PICT2020-1524 to GP,and PICT2021-00627 to FL)supported by an Independent Career Position from CONICETsupported by a postdoctoral fellowship from ANPCyT。
文摘Stem cell proliferation is tightly regulated in developing and adult tissues through the coordinated action of cell-intrinsic and extracellular signals.Although many extracellular cues were identified,the cell-intrinsic mechanisms underlying the decision of a stem cell to proliferate,enter a dormant quiescent state or differentiate into a specific cell type remains incompletely understood.
文摘BACKGROUND The prevalence of negative emotional states,such as anxiety and depression,has increased annually.Although personal habits are known to influence emotional regulation,the precise mechanisms underlying this relationship remain unclear.AIM To investigate emotion regulation habits impact on students negative emotions during lockdown,using the coronavirus disease 2019 pandemic as a case example.METHODS During the coronavirus disease 2019 lockdown,an online cross-sectional survey was conducted at a Chinese university.Emotional states were assessed using the Depression,Anxiety,and Stress Scale-21(DASS-21),while demographic data and emotion regulation habits were collected concurrently.Data analysis was performed using SPSS version 27.0 and includedχ^(2)-tests for intergroup comparisons,Spearman’s rank-order correlation coefficient analysis to examine associations,and stepwise linear regression modeling to explore the relationships between emotion regulation habits and emotional states.Statistical significance was set atα=0.05.RESULTS Among the 494 valid questionnaires analyzed,the prevalence rates of negative emotional states were as follows:Depression(65.0%),anxiety(69.4%),and stress(50.8%).DASS-21 scores(mean±SD)demonstrated significant symptomatology:Total(48.77±34.88),depression(16.21±12.18),anxiety(14.90±11.91),and stress(17.64±12.07).Significant positive intercorrelations were observed among all DASS-21 subscales(P<0.01).Regression analysis identified key predictors of negative emotions(P<0.05):Risk factors included late-night frequency and academic pressure,while protective factors were the frequency of parental contact and the number of same-gender friends.Additionally,compensatory spending and binge eating positively predicted all negative emotion scores(β>0,P<0.01),whereas appropriate recreational activities negatively predicted these scores(β<0,P<0.01).CONCLUSION High negative emotion prevalence occurred among confined students.Recreational activities were protective,while compensatory spending and binge eating were risk factors,necessitating guided emotion regulation.
基金supported by Technological Innovation 2030-Major Projects of“Brain Science and Brain-like Research,”No.2022ZD0206200(to XG)the National Natural Science Foundation of China,No.82371245(to SJ),82102246(to XD),81701092(to XG)+2 种基金the Natural Science Foundation of Shandong Province,No.ZR2020MH129(to SJ)Shanghai Municipal Key Clinical Specialty,No.shslczdzk03601Shanghai Engineering Research Center of Peri-operative Organ Support and Function Preservation,No.20DZ2254200。
文摘Adult hippocampal neurogenesis is linked to memory formation in the adult brain,with new neurons in the hippocampus exhibiting greater plasticity during their immature stages compared to mature neurons.Abnormal adult hippocampal neurogenesis is closely associated with cognitive impairment in central nervous system diseases.Targeting and regulating adult hippocampal neurogenesis have been shown to improve cognitive deficits.This review aims to expand the current understanding and prospects of targeting neurogenesis in the treatment of cognitive impairment.Recent research indicates the presence of abnormalities in AHN in several diseases associated with cognitive impairment,including cerebrovascular diseases,Alzheimer's disease,aging-related conditions,and issues related to anesthesia and surgery.The role of these abnormalities in the cognitive deficits caused by these diseases has been widely recognized,and targeting AHN is considered a promising approach for treating cognitive impairment.However,the underlying mechanisms of this role are not yet fully understood,and the effectiveness of targeting abnormal adult hippocampal neurogenesis for treatment remains limited,with a need for further development of treatment methods and detection techniques.By reviewing recent studies,we classify the potential mechanisms of adult hippocampal neurogenesis abnormalities into four categories:immunity,energy metabolism,aging,and pathological states.In immunity-related mechanisms,abnormalities in meningeal,brain,and peripheral immunity can disrupt normal adult hippocampal neurogenesis.Lipid metabolism and mitochondrial function disorders are significant energy metabolism factors that lead to abnormal adult hippocampal neurogenesis.During aging,the inflammatory state of the neurogenic niche and the expression of aging-related microRNAs contribute to reduced adult hippocampal neurogenesis and cognitive impairment in older adult patients.Pathological states of the body and emotional disorders may also result in abnormal adult hippocampal neurogenesis.Among the current strategies used to enhance this form of neurogenesis,physical therapies such as exercise,transcutaneous electrical nerve stimulation,and enriched environments have proven effective.Dietary interventions,including energy intake restriction and nutrient optimization,have shown efficacy in both basic research and clinical trials.However,drug treatments,such as antidepressants and stem cell therapy,are primarily reported in basic research,with limited clinical application.The relationship between abnormal adult hippocampal neurogenesis and cognitive impairment has garnered widespread attention,and targeting the former may be an important strategy for treating the latter.However,the mechanisms underlying abnormal adult hippocampal neurogenesis remain unclear,and treatments are lacking.This highlights the need for greater focus on translating research findings into clinical practice.
文摘BACKGROUND Approximately 30%of patients with head and neck cancer experience adverse effects caused by anxiety and depression.Considering the high prevalence,implementing customized interventions to ease adverse emotional states is imperative.AIM To evaluate the efficacy of cognitive behavioral therapy(CBT)-based psychological interventions in improving the psychological well-being and quality of life(QoL)of patients with laryngeal carcinoma.METHODS This study enrolled 120 patients admitted from February 2022 to February 2024.The control group,comprising 50 participants,received standard supportive psychological care,while the research group,consisting 70 participants,underwent CBT-based interventions.Several clinical outcomes were systematically assessed that included postoperative recovery metrics(duration of tracheostomy and nasogastric tube dependence and length of hospitalization),psychological status(Self-Rating Anxiety Scale and Self-Rating Depression Scale),nutritional markers(serum albumin and hemoglobin levels),sleep quality(Self-Rating Scale of Sleep and Athens Insomnia Scale),and QoL(Functional Assessment of Cancer Therapy-Head and Neck).RESULTS The results demonstrated that the research group experienced superior outcomes,with significantly reduced durations of tracheostomy and nasogastric tube dependence,as well as shorter hospital stays,compared with the control group.Additionally,the research group exhibited markedly lower post-intervention Self-Rating Anxiety Scale,Self-Rating Depression Scale,Self-Rating Scale of Sleep,and Athens Insomnia Scale scores,along with minimal but higher change in serum albumin and hemoglobin levels compared with the control group.All five domains of Functional Assessment of Cancer Therapy-Head and Neck showed notable improvements in the research group,exceeding those observed in the control group.CONCLUSION CBT-based psychological support positively affects the mental well-being and QoL of patients with laryngeal carcinoma,highlighting its potential for broader clinical application.
文摘Aging is considered the main risk factor for the development of several diseases,including the leading neurodegenerative disorders.While the cellular features of aging are complex and multifaceted,neuronal senescence has emerged as a major contributor and driver of this process in the mammalian cell.Cellular senescence is a programmed response to stress and irreparable damage,which drives the cell into an apoptosis-resistant,non-proliferative state.Senescent cells can also deleteriously affect neighboring,non-senescent cells.Senescence is a complex and multifaceted process associated with a wide range of cellular events,including the secretion of pro-inflammatory molecules and the arrest of the cell cycle.
基金supported by National Natural Science Foundation of China(NSFC)under grant U23A20310.
文摘With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State Information(CSI)offers fine-grained temporal,frequency,and spatial insights into multipath propagation,making it a crucial data source for human-centric sensing.Recently,the integration of deep learning has significantly improved the robustness and automation of feature extraction from CSI in complex environments.This paper provides a comprehensive review of deep learning-enhanced human sensing based on CSI.We first outline mainstream CSI acquisition tools and their hardware specifications,then provide a detailed discussion of preprocessing methods such as denoising,time–frequency transformation,data segmentation,and augmentation.Subsequently,we categorize deep learning approaches according to sensing tasks—namely detection,localization,and recognition—and highlight representative models across application scenarios.Finally,we examine key challenges including domain generalization,multi-user interference,and limited data availability,and we propose future research directions involving lightweight model deployment,multimodal data fusion,and semantic-level sensing.
文摘The Place Be it down to Shanghai's advantageous coastal location near Japan,our multitude of Japanese expats,or the unending Shanghainese love affair with seafood(or more likely,a combination of all three),high-quality sushi is relatively easy to find in this city-provided you are prepared to pay through the nose for it.
文摘Shaoxing Lu has acquired another cafe worthy of the street’s cuteness,courtesy-surprisingly enough-of Lapis Group.The restaurant conglomerate,behind projects like Lapis Thai Kitchen and Lapis Yun,has scaled back their usual slick,major production to present Shanghai with a relaxed space for snacks and sips.The prime real estate here is at the wooden bar by the windows.
文摘During big events, non-local private car travelers can be divided into two types which were returning in one day and in several days. It was demonstrated that those two kinds of travelers have distinct behavior on park and ride （P＆R）, due to their different travel demand and behavior attributes. In this paper focusing on the travelers returning in several days, the travel attributes and requirements for P＆R were analyzed with stated preference survey. A P＆R choice behavior disaggregated logit model was established and calibrated based on random utility theory. The model concludes three variables, which were travel time, parking fee and comprehensive attractiveness index for suburban satellite towns comparing to urban district. The results revealed that for travelers returning in several days the primary key point is increasing the attractiveness of suburban satellite towns.
文摘When attending a symposium on private businesses on 17 February,Chinese President Xi Jinping underscored the immense opportunities within China’s private economy.He stated that the private sector enjoys broad prospects and great potential on the new journey in the new era,and that it is a prime time for private businesses and entrepreneurs to give full play to their capabilities.
文摘Strengthening Global Climate Governance China is ready to work with Africa to promote global climate governance,uphold the principles of equity and common but differentiated responsibilities,and urge developed countries to acknowledge their historical responsibilities,fulfil their obligations,and provide financial,technological,and capacity-building support to developing nations,particularly those in Africa,Chinese Foreign Minister Wang Yi stated in a media interview following his visits to Namibia,the Republic of the Congo,Chad,and Nigeria in January.
基金supported by the Fundamental Research Funds for Central Public Welfare Research Institute,No.2020CZ-5(to WS and GS)the National Natural Science Foundation of China,No.31970970(to JSR)Fundamental Research Funds for the Central Universities,No.YWF-23-YG-QB-010(to JSR)。
文摘Patients with complete spinal cord injury retain the potential for volitional muscle activity in muscles located below the spinal injury level.However,because of prolonged inactivity,initial attempts to activate these muscles may not effectively engage any of the remaining neurons in the descending pathway.A previous study unexpectedly found that a brief clinical round of passive activity significantly increased volitional muscle activation,as measured by surface electromyography.In this study,we further explored the effect of passive activity on surface electromyographic signals during volitional control tasks among individuals with complete spinal cord injury.Eleven patients with chronic complete thoracic spinal cord injury were recruited.Surface electromyography data from eight major leg muscles were acquired and compared before and after the passive activity protocol.The results indicated that the passive activity led to an increased number of activated volitional muscles and an increased frequency of activation.Although the cumulative root mean square of surface electromyography amplitude for volitional control of movement showed a slight increase after passive activity,the difference was not statistically significant.These findings suggest that brief passive activity may enhance the ability to initiate volitional muscle activity during surface electromyography tasks and underscore the potential of passive activity for improving residual motor control among patients with motor complete spinal cord injury.
基金supported by the National Natural Science Foundation of China(NSFC)under Grant(No.51677058).
文摘Precisely estimating the state of health(SOH)of lithium-ion batteries is essential for battery management systems(BMS),as it plays a key role in ensuring the safe and reliable operation of battery systems.However,current SOH estimation methods often overlook the valuable temperature information that can effectively characterize battery aging during capacity degradation.Additionally,the Elman neural network,which is commonly employed for SOH estimation,exhibits several drawbacks,including slow training speed,a tendency to become trapped in local minima,and the initialization of weights and thresholds using pseudo-random numbers,leading to unstable model performance.To address these issues,this study addresses the challenge of precise and effective SOH detection by proposing a method for estimating the SOH of lithium-ion batteries based on differential thermal voltammetry(DTV)and an SSA-Elman neural network.Firstly,two health features(HFs)considering temperature factors and battery voltage are extracted fromthe differential thermal voltammetry curves and incremental capacity curves.Next,the Sparrow Search Algorithm(SSA)is employed to optimize the initial weights and thresholds of the Elman neural network,forming the SSA-Elman neural network model.To validate the performance,various neural networks,including the proposed SSA-Elman network,are tested using the Oxford battery aging dataset.The experimental results demonstrate that the method developed in this study achieves superior accuracy and robustness,with a mean absolute error(MAE)of less than 0.9%and a rootmean square error(RMSE)below 1.4%.
