Dividing wall batch distillation with middle vessel(DWBDM)is a new type of batch distillation column,with outstanding advantages of low capital cost,energy saving and flexible operation.However,temperature control of ...Dividing wall batch distillation with middle vessel(DWBDM)is a new type of batch distillation column,with outstanding advantages of low capital cost,energy saving and flexible operation.However,temperature control of DWBDM process is challenging,since inherently dynamic and highly nonlinear,which make it difficult to give the controller reasonable set value or optimal temperature profile for temperature control scheme.To overcome this obstacle,this study proposes a new strategy to develop temperature control scheme for DWBDM combining neural network soft-sensor with fuzzy control.Dynamic model of DWBDM was firstly developed and numerically solved by Python,with three control schemes:composition control by PID and fuzzy control respectively,and temperature control by fuzzy control with neural network soft-sensor.For dynamic process,the neural networks with memory functions,such as RNN,LSTM and GRU,are used to handle with time-series data.The results from a case example show that the new control scheme can perform a good temperature control of DWBDM with the same or even better product purities as traditional PID or fuzzy control,and fuzzy control could reduce the effect of prediction error from neural network,indicating that it is a highly feasible and effective control approach for DWBDM,and could even be extended to other dynamic processes.展开更多
Potential high-temperature risks exist in heat-prone components of electric moped charging devices,such as sockets,interfaces,and controllers.Traditional detection methods have limitations in terms of real-time perfor...Potential high-temperature risks exist in heat-prone components of electric moped charging devices,such as sockets,interfaces,and controllers.Traditional detection methods have limitations in terms of real-time performance and monitoring scope.To address this,a temperature detection method based on infrared image processing has been proposed:utilizing the median filtering algorithm to denoise the original infrared image,then applying an image segmentation algorithm to divide the image.展开更多
《农村与城市——威胁民主的鸿沟日益扩大》Rural Versus Urban:The Growing Divide That Threatens Democracy By Suzanne Mettler,Trevor E.Brown Published by Princeton University Press(2025.9.23)该书是一部关于美国城乡政治裂...《农村与城市——威胁民主的鸿沟日益扩大》Rural Versus Urban:The Growing Divide That Threatens Democracy By Suzanne Mettler,Trevor E.Brown Published by Princeton University Press(2025.9.23)该书是一部关于美国城乡政治裂痕的重要著作。展开更多
Unlike mammals,zebrafish possess a remarkable ability to regenerate their spinal cord after injury,making them an ideal vertebrate model for studying regeneration.While previous research has identified key cell types ...Unlike mammals,zebrafish possess a remarkable ability to regenerate their spinal cord after injury,making them an ideal vertebrate model for studying regeneration.While previous research has identified key cell types involved in this process,the underlying molecular and cellular mechanisms remain largely unexplored.In this study,we used single-cell RNA sequencing to profile distinct cell populations at different stages of spinal cord injury in zebrafish.Our analysis revealed that multiple subpopulations of neurons showed persistent activation of genes associated with axonal regeneration post injury,while molecular signals promoting growth cone collapse were inhibited.Radial glial cells exhibited significant proliferation and differentiation potential post injury,indicating their intrinsic roles in promoting neurogenesis and axonal regeneration,respectively.Additionally,we found that inflammatory factors rapidly decreased in the early stages following spinal cord injury,creating a microenvironment permissive for tissue repair and regeneration.Furthermore,oligodendrocytes lost maturity markers while exhibiting increased proliferation following injury.These findings demonstrated that the rapid and orderly regulation of inflammation,as well as the efficient proliferation and redifferentiation of new neurons and glial cells,enabled zebrafish to reconstruct the spinal cord.This research provides new insights into the cellular transitions and molecular programs that drive spinal cord regeneration,offering promising avenues for future research and therapeutic strategies.展开更多
The Emerging Markets and Developing Countries Forum on Bridging the AI Divide and Opening Ceremony of AIM Global CoE were held on July 27 in Minhang district,Shanghai.The event was hosted by AIM Global CoE,and co-orga...The Emerging Markets and Developing Countries Forum on Bridging the AI Divide and Opening Ceremony of AIM Global CoE were held on July 27 in Minhang district,Shanghai.The event was hosted by AIM Global CoE,and co-organized by Shanghai Artificial Intelligence Research Institute(SAIRI),Shanghai Technology Innovation Center,Shanghai Grand Neobay Investment Development Group,and Organizing Committee of AI Journey Conference.Asian Association of Business Incubation(AABI)and SAIRI served as the international partners.展开更多
0 INTRODUCTION The Qinling Mountains(QM),located at the geographical center of China,serve as a crucial dividing line between the northern and southern and play a vital role as an ecological security barrier,significa...0 INTRODUCTION The Qinling Mountains(QM),located at the geographical center of China,serve as a crucial dividing line between the northern and southern and play a vital role as an ecological security barrier,significantly influencing the country's geological,geographical,and ecological landscape(Jia et al.,2023;Peng et al.,2023).The QM stretch from the White Stone Mountain in the northern part of Lintan County,Gansu Province,to the Funiu Mountains in Henan Province in the east.展开更多
The legacy of rural-urban developmental imbalance and China’s household registration institution(i.e.,the hukou system)stratify Chinese citizens into three populations—rural villagers,urban dwellers,and rural-to-urb...The legacy of rural-urban developmental imbalance and China’s household registration institution(i.e.,the hukou system)stratify Chinese citizens into three populations—rural villagers,urban dwellers,and rural-to-urban migrants.These groups differ in values,lifestyles,and socioeconomic status.They have also been assigned to different tiers of government control and services based upon their location and hukou identities.Effective governance of these diverse and divided populations in urbanizing China requires a deeper understanding of their potentially different political orientations and attitudes toward government and why such differences exist.However,despite their demographic significance—by 2014,China’s rural-to-urban migrant population had reached to 253 million—rural-to-urban migrants remain unrepresented in studies of Chinese people’s political trust,which focus more on either rural villagers or urban dwellers.This study addresses this gap by situating Chinese rural-to-urban migrants at the center of triadic analytical framework and comparing their trust in local(i.e.,county-level)government to two reference groups:rural villagers and urban dwellers.We utilize data from the China Family Panel Study(CFPS)in 2014 and employ the propensity score matching(PSM)method to match rural-to-urban migrants and rural villagers with comparable propensities to migrate.This matched comparison found that rural-to-urban migrants are 4.91%less trusting of their county government than their rural villager counterparts.This result reflects a negative“urban effect”:The urban society may erode political trust compared to rural environments.Then the method of mechanical matching(MM)is used to compare rural-to-urban migrants and urban dwellers.This matched comparison found that rural-to-urban migrants are 3.2%more trusting than their urban counterparts.This indicates that the migrant identity(i.e.,being a rural hukou holders in cities)is associated with higher trust levels.This geography of political trust signals a more complex rural-urban divide in the citizen-government relationship in China.Different populations’various relationship with local government therefore merits additional attention to place-based and population-specific policies to rebuild trust.展开更多
As the most important large-scale communication infrastructure in the world today,submarine cable can profoundly reflect the global Internet communication pattern,and is of great significance for understanding the glo...As the most important large-scale communication infrastructure in the world today,submarine cable can profoundly reflect the global Internet communication pattern,and is of great significance for understanding the global digital divide.We used multi-scale and network analysis methods to depict the distribution pattern,network structure and spatio-temporal evolution of global submarine cables at the national and landing point scales,in order to analyze the current situation,challenges and main directions of global digital divide governance.Results show that:(1)spatial distribution of global submarine cables is unbalanced,the United States and Europe are the concentrated distribution areas of submarine cables and global information flow centers;(2)core connections of the global submarine cable network are only composed of a tiny minority of countries or regions or landing points,and have strong geographical proximity and clustered-type characteristic,noting that multitudinous landing points of developed countries are at the semi-periphery or even periphery of the network;(3)submarine cables can alleviate the global digital divide through the three paths of infrastructure universalization,digital ecosystem reconstruction and economic empowerment,and the global digital divide governance still faces the dilemma of the differences in digital strategy development and the lack of a governance system.However,due to the increasingly important position of cities in developing countries in the international communication pattern,the global digital divide problem is being alleviated.展开更多
With the full implementation and explosion of artificial intelligence big models such as DeepSeek,Doubao and Dream,the business of many traditional industries has been more or less affected.However,with its super data...With the full implementation and explosion of artificial intelligence big models such as DeepSeek,Doubao and Dream,the business of many traditional industries has been more or less affected.However,with its super data processing ability and intelligent analysis ability,it has been warmly welcomed and widely used in the industry,and has also given rise to some innovative changes in the development of various industries.In this wave of artificial intelligence,AI technology is also constantly infiltrating into the field of education and mental health work,and the mental health work of college students is also ushering in new development and opportunities.This study investigates the application of AI technology in college students’psychological work,and analyzes that the application of AI technology can promote the breadth coverage and accuracy of college students’psychological work,and effectively improve the quality and efficiency of college students’mental health work.However,due to the limitations of AI technology’s own data calculation and objective existing data security problems,the application of AI technology can effectively improve the quality and efficiency of college students’mental health work.There may be certain deviations in the actual work process.Based on the above analysis,this paper can be used as a discussion on the application of AI technology in college students’mental health work.展开更多
To investigate the impact of digital literacy on the health of older adults,based on the four-wave micropanel data from the China Family Panel Studies,a digital literacy indicator system was constructed using the fact...To investigate the impact of digital literacy on the health of older adults,based on the four-wave micropanel data from the China Family Panel Studies,a digital literacy indicator system was constructed using the factor analysis method.The health of older adults was characterized from the perspectives of overall health levels and internal health inequalities among older adults,and the theoretical mechanism was empirically examined through fixed-effects regression,threshold,and moderating-effects models.Policy recommendations are proposed to accelerate the construction of a digital literacy cultivation system for the elderly,promote digitally empowered public health services,and encourage age-appropriate upgrading of digital health facilities.The results show that for every 1-unit increase in digital literacy,the overall self-assessed health level of the elderly increases by approximately 0.052 units on average,and the health relative deprivation index,which reflects health inequalities of older adults,decreased by about 0.013 units on average.There was heterogeneity in the effect of digital literacy on the health of the elderly,which was more significant among rural-dwelling elderly people,those aged more than 65 years,and females.The mechanism analysis shows that the variables reflecting medical experience and health management awareness play a moderating role in channels through which digital literacy affects older adults’health.展开更多
Background:Telehealth has emerged as a powerful tool for managing chronic diseases and mental health conditions,offering increased access to care and improved patient outcomes.However,inequities in digital connectivit...Background:Telehealth has emerged as a powerful tool for managing chronic diseases and mental health conditions,offering increased access to care and improved patient outcomes.However,inequities in digital connectivity and technological resources have created significant disparities in access to these potentially life-changing services,disproportionately impacting marginalized and minoritized communities across the globe.Methods:Data on 473,716 telehealth encounters occurring between January 1,2022,and June 30,2023 were retrieved from the electronic health records(EHR)system used by University Hospitals.These encounters were classified into three groups:attended,canceled,and no-show.Relative risk was calculated based on age,sex,and race,and a multivariate linear regression was performed with age,sex,and race as inputs,to determine their effect on the encounter outcome.Results:Our analysis identified significant differences in relative risk between demographic groups.Patients 20-39 years of age had a high relative risk of cancellation and no-show,and Black patients demonstrated the highest relative risk for cancellation and no-show.The regression analysis illustrated a statistically significant link between no-shows and patients with a cellular plan with no other internet subscription(p<0.001),smartphone ownership(p<0.001),and not having a computer(p<0.05).Conclusions:This study highlights the clinical repercussions of the digital divide,as patients relying on a mobile phone and data plan to attend telehealth visits were more likely to no-show.Current disparities in digital connectivity for historically marginalized populations heightens the risk of creating a digital underclass.There is evidence this study may be applicable in multiple countries across the world.Further research on the causes of the observed no-shows is necessary to ensure equitable delivery of digital healthcare services.展开更多
Email communication plays a crucial role in both personal and professional contexts;however,it is frequently compromised by the ongoing challenge of spam,which detracts from productivity and introduces considerable se...Email communication plays a crucial role in both personal and professional contexts;however,it is frequently compromised by the ongoing challenge of spam,which detracts from productivity and introduces considerable security risks.Current spam detection techniques often struggle to keep pace with the evolving tactics employed by spammers,resulting in user dissatisfaction and potential data breaches.To address this issue,we introduce the Divide and Conquer-Generative Adversarial Network Squeeze and Excitation-Based Framework(DaC-GANSAEBF),an innovative deep-learning model designed to identify spam emails.This framework incorporates cutting-edge technologies,such as Generative Adversarial Networks(GAN),Squeeze and Excitation(SAE)modules,and a newly formulated Light Dual Attention(LDA)mechanism,which effectively utilizes both global and local attention to discern intricate patterns within textual data.This approach significantly improves efficiency and accuracy by segmenting scanned email content into smaller,independently evaluated components.The model underwent training and validation using four publicly available benchmark datasets,achieving an impressive average accuracy of 98.87%,outperforming leading methods in the field.These findings underscore the resilience and scalability of DaC-GANSAEBF,positioning it as a viable solution for contemporary spam detection systems.The framework can be easily integrated into existing technologies to enhance user security and reduce the risks associated with spam.展开更多
The World Artificial Intelligence Conference 2025(WAIC 2025)and related exhibits and activities were convened in Shanghai on July 26-29.Taking“global solidarity in the AI era”as the theme,the conference built an int...The World Artificial Intelligence Conference 2025(WAIC 2025)and related exhibits and activities were convened in Shanghai on July 26-29.Taking“global solidarity in the AI era”as the theme,the conference built an international platform for cooperation and exchange,bringing China’s wisdom and Shanghai’s solutions to the world.During the conference,the International Forum on Standardization of Artificial Intelligence and the Emerging Markets and Developing Countries Forum on Bridging the AI Divide were held,gathering wisdom for AI to benefit humanity,and contributing to forming a global consensus.展开更多
Drainage divide migration refers to the shifting boundaries between adjacent drainage basins over time,driven by processes such as tectonic uplift,differential erosion,stream capture,and lithological variations.This p...Drainage divide migration refers to the shifting boundaries between adjacent drainage basins over time,driven by processes such as tectonic uplift,differential erosion,stream capture,and lithological variations.This phenomenon has a significant impact on water flow patterns and basin extents,serving as an indicator of the landscape's response to active tectonic forces.One of the key drivers of divide migration is asymmetric uplift,which causes divides to shift from areas of lower uplift to regions experiencing higher uplift.Drainage divides are inherently dynamic,evolving over time as drainage networks develop and adjust to changing conditions.This study focuses on the migration of the main drainage divide along Karιncalιda?,located between Bozdo?an and Karacasu.It employs geomorphic analyses using metrics such as the normalized steepness index(ksn),Chi(χ),and Gilbert metrics.The main divide is categorized into four segments(D1–D4),with the Karacasu Fault,situated along the mountain's north-eastern boundary,identified as the primary factor influencing divide dynamics.Secondary factors include the relatively low elevation of Karιncalιda?,uniform lithology,and consistent rainfall patterns across the region.The results indicate that the main divide is currently stable,suggesting a balance between uplift and erosion.However,higherχvalues in the D4 segment suggest that future erosion may dominate,potentially causing the divide to migrate toward the Bozdo?an Basin.These findings highlight the dynamic nature of drainage divides and the complex interplay of tectonic,erosional,and lithological processes that shape their evolution.Continued monitoring and advanced geomorphic analysis are essential for understanding the long-term stability of the divide and its response to future tectonic activity and erosional modifications.展开更多
Achieving efficient adsorption and separation of C_(2)H_(2)/CO_(2)mixtures is a goal that people have always pursued to improve the situation of high energy consumption brought by traditional separation technologies i...Achieving efficient adsorption and separation of C_(2)H_(2)/CO_(2)mixtures is a goal that people have always pursued to improve the situation of high energy consumption brought by traditional separation technologies in industry today.High-nuclearity metal cluster-based MOFs with different functionalities are promising for this separation,but it is a complicated and difficult task to precisely control their structures.The strategy of pore-space partition(PSP)is a powerful way to construct this type MOFs,which has the characteristic of isostructural relationship,and can be resulted in a similar performance for them.Therefore,it is an interesting work to explore the effect of MOFs property by adjusting the size of PSP dividers.Herein,three tetranuclear Cu(Ⅱ)cluster-based MOFs(FJU-112/113/114)with dual functionalities has been successfully obtained by PSP strategy with various lengths of divider units.With the highest microporosity and unique functional site,FJU-114 realized a good improvement in the adsorption and separation performance of C_(2)H_(2)/CO_(2).The gas adsorption and lab-scale C_(2)H_(2)/CO_(2)breakthrough experiments demonstrated that FJU-114 exhibits the highest adsorption uptake of 77 cm^(3)/g for C_(2)H_(2),and shows the best separation factor of 4.2 among three MOFs.The GCMC simulation reveals that a stronger adsorption binding site of C_(2)H_(2)in FJU-114a located in the cage II near the unchanged tetranuclear copper node,combined with its high microporosity to achieve the effect of dual functionalities for the improvement performance of C_(2)H_(2)adsorption and separation.展开更多
The energy-conserving performance of dividing wall column(DWC) is discussed in this paper. The heat transfer through the dividing wall is considered and the results are compared with that of common heat insulation div...The energy-conserving performance of dividing wall column(DWC) is discussed in this paper. The heat transfer through the dividing wall is considered and the results are compared with that of common heat insulation dividing wall column(HIDWC). Based on the thermodynamic analysis of heat transfer dividing wall column(HTDWC) and HIDWC, both computer simulation and experiments are employed to analyze the energyconserving situation. Mixtures of n-hexane, n-heptane and n-octane are chosen as the example for separation.The results show that the energy consumption of HTDWC is 50.3% less than that of conventional distillation column, while it is 46.4% less than that of HIDWC. It indicates that DWC is efficient on separating threecomponent mixtures and HTDWC can save more energy than HIDWC. Thus it is necessary to consider the heat transfer while applying DWC to industry.展开更多
The dividing wall column （DWC） is considered as a major breakthrough in distillation technology and has good prospect of industrialization. Model predictive control （MPC） is an advanced control strategy that has a...The dividing wall column （DWC） is considered as a major breakthrough in distillation technology and has good prospect of industrialization. Model predictive control （MPC） is an advanced control strategy that has acquired extensive applications in various industries. In this study, MPC is applied to the process for separating ethanol, n-propanol, and n-butanol ternary mixture in a fully thermally coupled DWC. Both composition control and tem- perature inferent/al control are considered. The multiobjective genetic algor/thm function ＂gamult/obj＂ in Matlab is used for the weight tuning of MPC. Comparisons are made between the control performances of MPC and PI strategies. Simulation results show that although both MPC and PI schemes can stabilize the DWC in case of feed disturbances, MPC generally behaves better than the PI strategy for both composition control and tempera- ture inferential control, resulting in a more stable and superior performance with lower values of integral of squared error （ISE）.展开更多
Reactive dividing wall column(RDWC) is a highly integrated unit which combines reaction distillation(RD) with dividing wall column separation technology into one shell, and it realized the chemical reaction and the se...Reactive dividing wall column(RDWC) is a highly integrated unit which combines reaction distillation(RD) with dividing wall column separation technology into one shell, and it realized the chemical reaction and the separation of multiple product fractions simultaneously. In this paper, the reaction of esterification with acetic acid and ethanol to produce ethyl acetate was used as the research system, experiments and simulations of the RDWC were carried out. This system in the traditional process mostly used the homogeneous catalyst(e.g. sulfuric acid). However, in view of the corrosion of the equipment caused by the acidity of the catalyst, we used the heterogeneous catalysts – iron exchange resins – Amberlyst15 and proposed a novel catalyst loading method. Firstly,the reliability of the model of the simulation was verified by the experimental study on the change of liquid split ratio and reflux ratio. After that, the four-column model was established in Aspen Plus to analyze the effects of the amount of azeotropic agent, reflux ratio and acetic acid concentration. Finally, for a fair comparison, the economic analysis was conducted between traditional RD column and RDWC. The results showed that RDWC can save34.7% of total operating costs and 18.5% of TAC.展开更多
基金supported by Beijing Natural Science Foundation(2222037)the Special Educating Project of the Talent for Carbon Peak and Carbon Neutrality of University of Chinese Academy of Sciences(Innovation of talent cultivation model for“dual carbon”in chemical engineering industry,E3E56501A2).
文摘Dividing wall batch distillation with middle vessel(DWBDM)is a new type of batch distillation column,with outstanding advantages of low capital cost,energy saving and flexible operation.However,temperature control of DWBDM process is challenging,since inherently dynamic and highly nonlinear,which make it difficult to give the controller reasonable set value or optimal temperature profile for temperature control scheme.To overcome this obstacle,this study proposes a new strategy to develop temperature control scheme for DWBDM combining neural network soft-sensor with fuzzy control.Dynamic model of DWBDM was firstly developed and numerically solved by Python,with three control schemes:composition control by PID and fuzzy control respectively,and temperature control by fuzzy control with neural network soft-sensor.For dynamic process,the neural networks with memory functions,such as RNN,LSTM and GRU,are used to handle with time-series data.The results from a case example show that the new control scheme can perform a good temperature control of DWBDM with the same or even better product purities as traditional PID or fuzzy control,and fuzzy control could reduce the effect of prediction error from neural network,indicating that it is a highly feasible and effective control approach for DWBDM,and could even be extended to other dynamic processes.
基金supported by the National Key Research and Development Project of China(No.2023YFB3709605)the National Natural Science Foundation of China(No.62073193)the National College Student Innovation Training Program(No.202310422122)。
文摘Potential high-temperature risks exist in heat-prone components of electric moped charging devices,such as sockets,interfaces,and controllers.Traditional detection methods have limitations in terms of real-time performance and monitoring scope.To address this,a temperature detection method based on infrared image processing has been proposed:utilizing the median filtering algorithm to denoise the original infrared image,then applying an image segmentation algorithm to divide the image.
文摘《农村与城市——威胁民主的鸿沟日益扩大》Rural Versus Urban:The Growing Divide That Threatens Democracy By Suzanne Mettler,Trevor E.Brown Published by Princeton University Press(2025.9.23)该书是一部关于美国城乡政治裂痕的重要著作。
基金supported by the Jiangsu Province Traditional Chinese Medicine Technology Development Plan Project,Nos.MS2023113(to JC),MS2022090Young and Middle-aged Academic Leaders of Jiangsu Qing-Lan Project(to GL).
文摘Unlike mammals,zebrafish possess a remarkable ability to regenerate their spinal cord after injury,making them an ideal vertebrate model for studying regeneration.While previous research has identified key cell types involved in this process,the underlying molecular and cellular mechanisms remain largely unexplored.In this study,we used single-cell RNA sequencing to profile distinct cell populations at different stages of spinal cord injury in zebrafish.Our analysis revealed that multiple subpopulations of neurons showed persistent activation of genes associated with axonal regeneration post injury,while molecular signals promoting growth cone collapse were inhibited.Radial glial cells exhibited significant proliferation and differentiation potential post injury,indicating their intrinsic roles in promoting neurogenesis and axonal regeneration,respectively.Additionally,we found that inflammatory factors rapidly decreased in the early stages following spinal cord injury,creating a microenvironment permissive for tissue repair and regeneration.Furthermore,oligodendrocytes lost maturity markers while exhibiting increased proliferation following injury.These findings demonstrated that the rapid and orderly regulation of inflammation,as well as the efficient proliferation and redifferentiation of new neurons and glial cells,enabled zebrafish to reconstruct the spinal cord.This research provides new insights into the cellular transitions and molecular programs that drive spinal cord regeneration,offering promising avenues for future research and therapeutic strategies.
文摘The Emerging Markets and Developing Countries Forum on Bridging the AI Divide and Opening Ceremony of AIM Global CoE were held on July 27 in Minhang district,Shanghai.The event was hosted by AIM Global CoE,and co-organized by Shanghai Artificial Intelligence Research Institute(SAIRI),Shanghai Technology Innovation Center,Shanghai Grand Neobay Investment Development Group,and Organizing Committee of AI Journey Conference.Asian Association of Business Incubation(AABI)and SAIRI served as the international partners.
基金supported by two Special Programs of the National Natural Science Foundation of China(Nos.42341101,42442045)the National Key R&D Program of China(No.2024YFF1306502)the Basic Scientific Research Business Funds of Central Universities(No.300102263401)。
文摘0 INTRODUCTION The Qinling Mountains(QM),located at the geographical center of China,serve as a crucial dividing line between the northern and southern and play a vital role as an ecological security barrier,significantly influencing the country's geological,geographical,and ecological landscape(Jia et al.,2023;Peng et al.,2023).The QM stretch from the White Stone Mountain in the northern part of Lintan County,Gansu Province,to the Funiu Mountains in Henan Province in the east.
基金The research results of this paper are sponsored by Kunshan Municipal Government Research Funding.
文摘The legacy of rural-urban developmental imbalance and China’s household registration institution(i.e.,the hukou system)stratify Chinese citizens into three populations—rural villagers,urban dwellers,and rural-to-urban migrants.These groups differ in values,lifestyles,and socioeconomic status.They have also been assigned to different tiers of government control and services based upon their location and hukou identities.Effective governance of these diverse and divided populations in urbanizing China requires a deeper understanding of their potentially different political orientations and attitudes toward government and why such differences exist.However,despite their demographic significance—by 2014,China’s rural-to-urban migrant population had reached to 253 million—rural-to-urban migrants remain unrepresented in studies of Chinese people’s political trust,which focus more on either rural villagers or urban dwellers.This study addresses this gap by situating Chinese rural-to-urban migrants at the center of triadic analytical framework and comparing their trust in local(i.e.,county-level)government to two reference groups:rural villagers and urban dwellers.We utilize data from the China Family Panel Study(CFPS)in 2014 and employ the propensity score matching(PSM)method to match rural-to-urban migrants and rural villagers with comparable propensities to migrate.This matched comparison found that rural-to-urban migrants are 4.91%less trusting of their county government than their rural villager counterparts.This result reflects a negative“urban effect”:The urban society may erode political trust compared to rural environments.Then the method of mechanical matching(MM)is used to compare rural-to-urban migrants and urban dwellers.This matched comparison found that rural-to-urban migrants are 3.2%more trusting than their urban counterparts.This indicates that the migrant identity(i.e.,being a rural hukou holders in cities)is associated with higher trust levels.This geography of political trust signals a more complex rural-urban divide in the citizen-government relationship in China.Different populations’various relationship with local government therefore merits additional attention to place-based and population-specific policies to rebuild trust.
基金National Natural Science Foundation of China,No.42371175。
文摘As the most important large-scale communication infrastructure in the world today,submarine cable can profoundly reflect the global Internet communication pattern,and is of great significance for understanding the global digital divide.We used multi-scale and network analysis methods to depict the distribution pattern,network structure and spatio-temporal evolution of global submarine cables at the national and landing point scales,in order to analyze the current situation,challenges and main directions of global digital divide governance.Results show that:(1)spatial distribution of global submarine cables is unbalanced,the United States and Europe are the concentrated distribution areas of submarine cables and global information flow centers;(2)core connections of the global submarine cable network are only composed of a tiny minority of countries or regions or landing points,and have strong geographical proximity and clustered-type characteristic,noting that multitudinous landing points of developed countries are at the semi-periphery or even periphery of the network;(3)submarine cables can alleviate the global digital divide through the three paths of infrastructure universalization,digital ecosystem reconstruction and economic empowerment,and the global digital divide governance still faces the dilemma of the differences in digital strategy development and the lack of a governance system.However,due to the increasingly important position of cities in developing countries in the international communication pattern,the global digital divide problem is being alleviated.
文摘With the full implementation and explosion of artificial intelligence big models such as DeepSeek,Doubao and Dream,the business of many traditional industries has been more or less affected.However,with its super data processing ability and intelligent analysis ability,it has been warmly welcomed and widely used in the industry,and has also given rise to some innovative changes in the development of various industries.In this wave of artificial intelligence,AI technology is also constantly infiltrating into the field of education and mental health work,and the mental health work of college students is also ushering in new development and opportunities.This study investigates the application of AI technology in college students’psychological work,and analyzes that the application of AI technology can promote the breadth coverage and accuracy of college students’psychological work,and effectively improve the quality and efficiency of college students’mental health work.However,due to the limitations of AI technology’s own data calculation and objective existing data security problems,the application of AI technology can effectively improve the quality and efficiency of college students’mental health work.There may be certain deviations in the actual work process.Based on the above analysis,this paper can be used as a discussion on the application of AI technology in college students’mental health work.
基金The National Natural Science Foundation of China(No.72071042).
文摘To investigate the impact of digital literacy on the health of older adults,based on the four-wave micropanel data from the China Family Panel Studies,a digital literacy indicator system was constructed using the factor analysis method.The health of older adults was characterized from the perspectives of overall health levels and internal health inequalities among older adults,and the theoretical mechanism was empirically examined through fixed-effects regression,threshold,and moderating-effects models.Policy recommendations are proposed to accelerate the construction of a digital literacy cultivation system for the elderly,promote digitally empowered public health services,and encourage age-appropriate upgrading of digital health facilities.The results show that for every 1-unit increase in digital literacy,the overall self-assessed health level of the elderly increases by approximately 0.052 units on average,and the health relative deprivation index,which reflects health inequalities of older adults,decreased by about 0.013 units on average.There was heterogeneity in the effect of digital literacy on the health of the elderly,which was more significant among rural-dwelling elderly people,those aged more than 65 years,and females.The mechanism analysis shows that the variables reflecting medical experience and health management awareness play a moderating role in channels through which digital literacy affects older adults’health.
文摘Background:Telehealth has emerged as a powerful tool for managing chronic diseases and mental health conditions,offering increased access to care and improved patient outcomes.However,inequities in digital connectivity and technological resources have created significant disparities in access to these potentially life-changing services,disproportionately impacting marginalized and minoritized communities across the globe.Methods:Data on 473,716 telehealth encounters occurring between January 1,2022,and June 30,2023 were retrieved from the electronic health records(EHR)system used by University Hospitals.These encounters were classified into three groups:attended,canceled,and no-show.Relative risk was calculated based on age,sex,and race,and a multivariate linear regression was performed with age,sex,and race as inputs,to determine their effect on the encounter outcome.Results:Our analysis identified significant differences in relative risk between demographic groups.Patients 20-39 years of age had a high relative risk of cancellation and no-show,and Black patients demonstrated the highest relative risk for cancellation and no-show.The regression analysis illustrated a statistically significant link between no-shows and patients with a cellular plan with no other internet subscription(p<0.001),smartphone ownership(p<0.001),and not having a computer(p<0.05).Conclusions:This study highlights the clinical repercussions of the digital divide,as patients relying on a mobile phone and data plan to attend telehealth visits were more likely to no-show.Current disparities in digital connectivity for historically marginalized populations heightens the risk of creating a digital underclass.There is evidence this study may be applicable in multiple countries across the world.Further research on the causes of the observed no-shows is necessary to ensure equitable delivery of digital healthcare services.
基金funded by the Deanship of Scientific Research(DSR)at King Abdulaziz University,Jeddah,Saudi Arabia under Grant No.(GPIP:71-829-2024).
文摘Email communication plays a crucial role in both personal and professional contexts;however,it is frequently compromised by the ongoing challenge of spam,which detracts from productivity and introduces considerable security risks.Current spam detection techniques often struggle to keep pace with the evolving tactics employed by spammers,resulting in user dissatisfaction and potential data breaches.To address this issue,we introduce the Divide and Conquer-Generative Adversarial Network Squeeze and Excitation-Based Framework(DaC-GANSAEBF),an innovative deep-learning model designed to identify spam emails.This framework incorporates cutting-edge technologies,such as Generative Adversarial Networks(GAN),Squeeze and Excitation(SAE)modules,and a newly formulated Light Dual Attention(LDA)mechanism,which effectively utilizes both global and local attention to discern intricate patterns within textual data.This approach significantly improves efficiency and accuracy by segmenting scanned email content into smaller,independently evaluated components.The model underwent training and validation using four publicly available benchmark datasets,achieving an impressive average accuracy of 98.87%,outperforming leading methods in the field.These findings underscore the resilience and scalability of DaC-GANSAEBF,positioning it as a viable solution for contemporary spam detection systems.The framework can be easily integrated into existing technologies to enhance user security and reduce the risks associated with spam.
文摘The World Artificial Intelligence Conference 2025(WAIC 2025)and related exhibits and activities were convened in Shanghai on July 26-29.Taking“global solidarity in the AI era”as the theme,the conference built an international platform for cooperation and exchange,bringing China’s wisdom and Shanghai’s solutions to the world.During the conference,the International Forum on Standardization of Artificial Intelligence and the Emerging Markets and Developing Countries Forum on Bridging the AI Divide were held,gathering wisdom for AI to benefit humanity,and contributing to forming a global consensus.
文摘Drainage divide migration refers to the shifting boundaries between adjacent drainage basins over time,driven by processes such as tectonic uplift,differential erosion,stream capture,and lithological variations.This phenomenon has a significant impact on water flow patterns and basin extents,serving as an indicator of the landscape's response to active tectonic forces.One of the key drivers of divide migration is asymmetric uplift,which causes divides to shift from areas of lower uplift to regions experiencing higher uplift.Drainage divides are inherently dynamic,evolving over time as drainage networks develop and adjust to changing conditions.This study focuses on the migration of the main drainage divide along Karιncalιda?,located between Bozdo?an and Karacasu.It employs geomorphic analyses using metrics such as the normalized steepness index(ksn),Chi(χ),and Gilbert metrics.The main divide is categorized into four segments(D1–D4),with the Karacasu Fault,situated along the mountain's north-eastern boundary,identified as the primary factor influencing divide dynamics.Secondary factors include the relatively low elevation of Karιncalιda?,uniform lithology,and consistent rainfall patterns across the region.The results indicate that the main divide is currently stable,suggesting a balance between uplift and erosion.However,higherχvalues in the D4 segment suggest that future erosion may dominate,potentially causing the divide to migrate toward the Bozdo?an Basin.These findings highlight the dynamic nature of drainage divides and the complex interplay of tectonic,erosional,and lithological processes that shape their evolution.Continued monitoring and advanced geomorphic analysis are essential for understanding the long-term stability of the divide and its response to future tectonic activity and erosional modifications.
基金financially supported by the National Natural Science Foundation of China(Nos.21975044,21971038,21922810 and 22271046)the Fujian Provincial Department of Science and Technology(Nos.2023J01355,2023J011106 and 2022R1022001).
文摘Achieving efficient adsorption and separation of C_(2)H_(2)/CO_(2)mixtures is a goal that people have always pursued to improve the situation of high energy consumption brought by traditional separation technologies in industry today.High-nuclearity metal cluster-based MOFs with different functionalities are promising for this separation,but it is a complicated and difficult task to precisely control their structures.The strategy of pore-space partition(PSP)is a powerful way to construct this type MOFs,which has the characteristic of isostructural relationship,and can be resulted in a similar performance for them.Therefore,it is an interesting work to explore the effect of MOFs property by adjusting the size of PSP dividers.Herein,three tetranuclear Cu(Ⅱ)cluster-based MOFs(FJU-112/113/114)with dual functionalities has been successfully obtained by PSP strategy with various lengths of divider units.With the highest microporosity and unique functional site,FJU-114 realized a good improvement in the adsorption and separation performance of C_(2)H_(2)/CO_(2).The gas adsorption and lab-scale C_(2)H_(2)/CO_(2)breakthrough experiments demonstrated that FJU-114 exhibits the highest adsorption uptake of 77 cm^(3)/g for C_(2)H_(2),and shows the best separation factor of 4.2 among three MOFs.The GCMC simulation reveals that a stronger adsorption binding site of C_(2)H_(2)in FJU-114a located in the cage II near the unchanged tetranuclear copper node,combined with its high microporosity to achieve the effect of dual functionalities for the improvement performance of C_(2)H_(2)adsorption and separation.
基金Supported by the National Natural Science Foundation of China(21306036)Science&Technology Research Fund Project for Outstanding Youth in Colleges and Universities of Hebei province(Y2012040)the Joint Specialized Research Fund for the Doctoral Program of Higher Education of China(20131317120014)
文摘The energy-conserving performance of dividing wall column(DWC) is discussed in this paper. The heat transfer through the dividing wall is considered and the results are compared with that of common heat insulation dividing wall column(HIDWC). Based on the thermodynamic analysis of heat transfer dividing wall column(HTDWC) and HIDWC, both computer simulation and experiments are employed to analyze the energyconserving situation. Mixtures of n-hexane, n-heptane and n-octane are chosen as the example for separation.The results show that the energy consumption of HTDWC is 50.3% less than that of conventional distillation column, while it is 46.4% less than that of HIDWC. It indicates that DWC is efficient on separating threecomponent mixtures and HTDWC can save more energy than HIDWC. Thus it is necessary to consider the heat transfer while applying DWC to industry.
基金Supported by the National Natural Science Foundation of China(21676299,21476261and 21606255)
文摘The dividing wall column （DWC） is considered as a major breakthrough in distillation technology and has good prospect of industrialization. Model predictive control （MPC） is an advanced control strategy that has acquired extensive applications in various industries. In this study, MPC is applied to the process for separating ethanol, n-propanol, and n-butanol ternary mixture in a fully thermally coupled DWC. Both composition control and tem- perature inferent/al control are considered. The multiobjective genetic algor/thm function ＂gamult/obj＂ in Matlab is used for the weight tuning of MPC. Comparisons are made between the control performances of MPC and PI strategies. Simulation results show that although both MPC and PI schemes can stabilize the DWC in case of feed disturbances, MPC generally behaves better than the PI strategy for both composition control and tempera- ture inferential control, resulting in a more stable and superior performance with lower values of integral of squared error （ISE）.
基金Supported by the Project funded by China Postdoctoral Science Foundation(2016M590191)the Key Basic Research Items in Application Basic Research Program of Hebei Province(16964502D)
文摘Reactive dividing wall column(RDWC) is a highly integrated unit which combines reaction distillation(RD) with dividing wall column separation technology into one shell, and it realized the chemical reaction and the separation of multiple product fractions simultaneously. In this paper, the reaction of esterification with acetic acid and ethanol to produce ethyl acetate was used as the research system, experiments and simulations of the RDWC were carried out. This system in the traditional process mostly used the homogeneous catalyst(e.g. sulfuric acid). However, in view of the corrosion of the equipment caused by the acidity of the catalyst, we used the heterogeneous catalysts – iron exchange resins – Amberlyst15 and proposed a novel catalyst loading method. Firstly,the reliability of the model of the simulation was verified by the experimental study on the change of liquid split ratio and reflux ratio. After that, the four-column model was established in Aspen Plus to analyze the effects of the amount of azeotropic agent, reflux ratio and acetic acid concentration. Finally, for a fair comparison, the economic analysis was conducted between traditional RD column and RDWC. The results showed that RDWC can save34.7% of total operating costs and 18.5% of TAC.
