When teaching neurology students about epilepsy,selecting appropriate antiseizure medications(ASMs)based on seizure type is a fundamental objective.Carbamazepine(CBZ),a widely used first-line ASM,is effective against ...When teaching neurology students about epilepsy,selecting appropriate antiseizure medications(ASMs)based on seizure type is a fundamental objective.Carbamazepine(CBZ),a widely used first-line ASM,is effective against focal seizures,generalized tonic-clonic seizures,and mixed seizure patterns[1].However,CBZ paradoxically aggravates absence seizures,as demonstrated by increased 36 Hz spike-and-wave discharges(SWDs)in both patients and animal models[2,3].While prior studies implicated altered GABAA receptor function in the thalamic ventrobasal complex[4],the precise mechanisms remained unclear.Recently,an inspiring study published on PNAS by Jang et al.from Stanford University has highlighted the thalamic reticular nucleus(RT)as the key brain region responsible for CBZ's aggravating effect on absence seizures[5].The combination of transgenic mouse models,optogenetics,and detailed electrophysiology in the original study provided exceptional precision in probing mechanistic insights,which greatly strengthens the conclusions.展开更多
Dairy cattle slurry is a source of nitrogen(N)that can substitute for synthetic fertilizers.This study aimed to identify combinations of synthetic fertilizers and slurry optimal for maize growth and N dynamics in Nort...Dairy cattle slurry is a source of nitrogen(N)that can substitute for synthetic fertilizers.This study aimed to identify combinations of synthetic fertilizers and slurry optimal for maize growth and N dynamics in Northeast China.In a two-year field experiment testing synthetic-to-slurry N fertilization ratios,slurry application increased grain yield and yield components,net economic benefit,and N use efficiency relative to synthetic fertilization but led to higher nitrous oxide and ammonia emissions.A 1:1-1:3 synthetic N:slurry N ratio and slurry application at 60-90 t ha^(-1)balanced productivity with N losses.展开更多
Ni layers were deposited on the two sides of pure Fe substrate by using electroplating to form Ni/Fe/Ni diffusion couple. After diffusion heat treatment, Fe-Ni laminated composite was obtained with Fe-Ni alloy/Fe/Fe-N...Ni layers were deposited on the two sides of pure Fe substrate by using electroplating to form Ni/Fe/Ni diffusion couple. After diffusion heat treatment, Fe-Ni laminated composite was obtained with Fe-Ni alloy/Fe/Fe-Ni alloy structure. The results indicate that the Fe-Ni layers combine well with the substrate and the Fe-Ni/Fe interface presents an interlocking microstructure with small-size grains. The concentration of element Ni in the Fe-Ni layer decreases from surface to interior exhibiting a gradient distribution. Geomagnetic shielding factor （SF） of Fe-Ni laminated composite can reach as high as 22.6, which is about seven times of that of pure Fe substrate. Mathematical equation of SF for laminated structure was derived according to magnetic circuit and resistance theory. The theoretical expression reveals that parameters such as the thickness and magnetic permeability of the shield material play an important role in the magnetic shielding behavior and the theoretical calculation results of SF coincide well with our experimental values.展开更多
Reliability analysis of soil slopes under rainfall is an important task for landslide risk assessment.Previous studies rarely contribute to the probabilistic analysis of slope stability under rainfall with reinforceme...Reliability analysis of soil slopes under rainfall is an important task for landslide risk assessment.Previous studies rarely contribute to the probabilistic analysis of slope stability under rainfall with reinforcement.A new method is suggested for reliability analysis of soil slopes stabilized with piles under rainfall.First,an efficient numerical model is exploited for slope stability analysis,where two types of slope failure modes,i.e.,plastic flow and local failure are considered.To address the blocking effect of piles during seepage analysis,the equivalent hydraulic conductivity of the pile area is estimated according to the effective medium theory.The stabilizing force of piles is investigated by an analytical approach.For saving computational effort,the response surface is established based on a multi-class classification model to predict two types of slope failure modes.Finally,uncertainties in soil parameters and rainfall events are both modelled,and the failure probability of soil slopes within a given time period is assessed through Monte Carlo simulation.An illustrative example is used to demonstrate the performance of the suggested method.It is found that the slope is mainly controlled by local failure.As the pile spacing increases,the likelihood of plastic flow significantly increases.As the piles are located near the slope crest,plastic flow is effectively prevented and the slope is better stabilized against rainfall.If rainfall uncertainties are not considered,the slope failure probability is significantly overestimated.Overall,this study can provide a useful guidance for the design of pile-stabilized slopes against rainfall infiltration.展开更多
Hearing loss and deafness,as a worldwide disability disease,have been troubling human beings.However,the auditory organ of the inner ear is highly heterogeneous and has a very limited number of cells,which are largely...Hearing loss and deafness,as a worldwide disability disease,have been troubling human beings.However,the auditory organ of the inner ear is highly heterogeneous and has a very limited number of cells,which are largely uncharacterized in depth.Recently,with the development and utilization of single-cell RNA sequencing(scRNA-seq),researchers have been able to unveil the complex and sophisticated biological mechanisms of various types of cells in the auditory organ at the single-cell level and address the challenges of cellular heterogeneity that are not resolved through by conventional bulk RNA sequencing(bulk RNAseq).Herein,we reviewed the application of scRNA-seq technology in auditory research,with the aim of providing a reference for the development of auditory organs,the pathogenesis of hearing loss,and regenerative therapy.Prospects about spatial transcriptomic scRNA-seq,single-cell based genome,and Live-seq technology will also be discussed.展开更多
Data on accumulation and concentration of chemical compounds recorded in an essentially unexplored area(Dome Argus)of the Indian Ocean sector of eastern Antarctica during the past 2,680 years(680 B.C. to 1999 A.D.) ar...Data on accumulation and concentration of chemical compounds recorded in an essentially unexplored area(Dome Argus)of the Indian Ocean sector of eastern Antarctica during the past 2,680 years(680 B.C. to 1999 A.D.) are presented. During the first 1, 700 years(680 B. C. to 1000 A. D.), the accumulation data shows a slightly decreasing trend, while chemical ions appear to be stable, representing a stable climatic condition. An intensive increasing trend of the accumulation occurred during the 12^(th) to 14^(th) century. The period from 15^(th) to 19^(th) century was characterized by a rapid reducing accumulation and concentrations of volatile compounds suffering post-depositional loss linked to sparse precipitation amount,which was temporally consistent with the Little Ice Age(LIA) episode. Comparison between observed accumulation rates with other eastern Antarctic ice cores show a consistent decreasing trend during LIA, while sea salt and dust-originated ions increased due to sea ice extent and intensified atmospheric transportation. Distribution of volcanic originated sulfate over the Antarctic continent show a significant change during the 15^(th) century, coincident with the onset of the LIA. These results are important for the assessment of Antarctic continent mass balance and associated interpretation of the Dome A deep ice core records.展开更多
In the face of the increasingly severe Botnet problem on the Internet,how to effectively detect Botnet traffic in realtime has become a critical problem.Although the existing deepQnetwork(DQN)algorithminDeep reinforce...In the face of the increasingly severe Botnet problem on the Internet,how to effectively detect Botnet traffic in realtime has become a critical problem.Although the existing deepQnetwork(DQN)algorithminDeep reinforcement learning can solve the problem of real-time updating,its prediction results are always higher than the actual results.In Botnet traffic detection,although it performs well in the training set,the accuracy rate of predicting traffic is as high as%;however,in the test set,its accuracy has declined,and it is impossible to adjust its prediction strategy on time based on new data samples.However,in the new dataset,its accuracy has declined significantly.Therefore,this paper proposes a Botnet traffic detection system based on double-layer DQN(DDQN).Two Q-values are designed to adjust the model in policy and action,respectively,to achieve real-time model updates and improve the universality and robustness of the model under different data sets.Experiments show that compared with the DQN model,when using DDQN,the Q-value is not too high,and the detectionmodel has improved the accuracy and precision of Botnet traffic.Moreover,when using Botnet data sets other than the test set,the accuracy and precision of theDDQNmodel are still higher than DQN.展开更多
Multisensory integration allows biological organisms to merge information from various sensory modalities,enhancing perception,decision-making,and adaptability in complex environments.This process,involving specialize...Multisensory integration allows biological organisms to merge information from various sensory modalities,enhancing perception,decision-making,and adaptability in complex environments.This process,involving specialized cortical and subcortical areas,reduces uncertainty,speeds up responses,enriches perception,and supports adaptive behaviors.Recent findings reveal that even primary sensory cortices contribute to multisensory processing,further boosting adaptability and decisionmaking.Inspired by these natural capabilities,researchers aim to develop artificial systems replicating biological sensory integration to address challenges in robotics,artificial intelligence,and big data.Current artificial systems,often reliant on single-modal perception,struggle in dynamic environments due to their limited adaptability.Advances in materials,device architectures,and neuromorphic technologies,such as memristor-and transistor-based neurons,are enabling the development of multimodal systems with enhanced efficiency,flexibility,and functionality.This review explores strategies to overcome single-modal limitations,focusing on synchronization,fusion,and deep interpretation of sensory data.Future directions emphasize improving integration density,novel device designs,and adaptable mechanisms.Multimodal systems hold promise to revolutionize artificial perception,narrowing the gap between biological systems and intelligent technologies.展开更多
Mammalian hair cells(HCs)are arranged spirally along the cochlear axis and correspond to different frequency ranges.Serving as primary sound detectors,HCs spatially segregate component frequencies into a topographical...Mammalian hair cells(HCs)are arranged spirally along the cochlear axis and correspond to different frequency ranges.Serving as primary sound detectors,HCs spatially segregate component frequencies into a topographical map.HCs display significant diversity in anatomical and physiological characteristics,yet little is known about the organization of the cochleotopic map of HCs or the molecules involved in this process.Using single-cell RNA sequencing,we determined the distinct molecular profiles of inner hair cells and outer hair cells,and we identified numerous position-dependent genes that were expressed as gradients.Newly identified genes such as Ptn,Rxra,and Nfe2l2 were found to be associated with tonotopy.We employed the SCENIC algorithm to predict the transcription factors that potentially shape these tonotopic gradients.Furthermore,we confirmed that Nfe2l2,a tonotopy-related transcription factor,is critical in mice for sensing low-tomedium sound frequencies in vivo.the analysis of cell-cell communication revealed potential receptor-ligand networks linking inner hair cells to spiral ganglion neurons,including pathways such as BDNF-Ntrk and PTN-Scd4,which likely play essential roles in tonotopic maintenance.Overall,these findings suggest that molecular gradients serve as the organizing principle for maintaining the selection of sound frequencies by HCs.展开更多
In recent years,rumors have been shown to have a significant impact on individual and societal activities.As renewables play an increasingly significant role in electricity markets,certain rumors may deviate the biddi...In recent years,rumors have been shown to have a significant impact on individual and societal activities.As renewables play an increasingly significant role in electricity markets,certain rumors may deviate the bidding behavior of market entities and eventually affect the performance of market operations.In this study,we attempt to reveal the general threats caused by rumors in the context of day-ahead electricity markets considering the integration of volatile renewables.First,we model the propagation of rumors in the societal system considering the weight of propagation resistance,which principally reflects the communication accessibility of market entities.Second,we develop an integrated two-layer network model to uncover the inherent coupling mechanism between market operations and rumor propagation.In particular,the role of electricity market operations on rumor propagation is characterized by changes in the truthfulness of rumors associated with electricity prices.The rumors,in turn,affect the bidding quantities of market entities in electricity market operations.Finally,numerical experiments are conducted on modified IEEE 6-bus and 118-bus systems.The results demonstrate the potential threats of rumors to electricity market operations with different penetration levels of renewables.展开更多
Lane changing is common in driving.Thus,the possibility of traffic accidents occurring during lane changes is high given the complexity of this process.One of the primary objectives of intelligent driving is to increa...Lane changing is common in driving.Thus,the possibility of traffic accidents occurring during lane changes is high given the complexity of this process.One of the primary objectives of intelligent driving is to increase a vehicle’s behavior,making it more similar to that of a real driver.This study proposes a decision-making framework based on deep reinforcement learning(DRL)in a lane-changing scenario,which seeks to find a driving strategy that simultaneously considers the expected lane-changing risks and gains.First,a fuzzy logic lane-changing controller is designed.It outputs the corresponding safety and lane-change gain weights by inputting relevant driving parameters.Second,the obtained weights are brought into the constructed reward function of DRL.The model parameters are designed and trained on the basis of lane-changing behavior.Finally,we conducted experiments in a simulator to evaluate the performance of our developed algorithm in urban scenarios.To visualize and validate the estimated driving intentions,lane-changing strategies were tested under four scenarios.The results show that the average improvement in travel efficiency in the four scenarios is 19%.In addition,the average accident rate in the four scenarios increased by only 4%.We combine fuzzy logic and DRL reward functions to personify the lane-changing behavior of intelligent driving.Compared with conservative strategies that prioritize only safety,this method can considerably improve the number of lane changes and travel efficiency for autonomous vehicles(AVs)on the premise of ensuring safety.The approach provides an effective and explainable method designed for facilitating intelligent driving lane-changing behavior.展开更多
Use of cerium oxide nanoparticles(CeO_(2) NPs)to optimize management of resistant microorganisms has received increasing attention due to non-specific activity of inorganic antibacterial agents.Understanding the mecha...Use of cerium oxide nanoparticles(CeO_(2) NPs)to optimize management of resistant microorganisms has received increasing attention due to non-specific activity of inorganic antibacterial agents.Understanding the mechanism of action is essential to elucidating the antibacterial activity of CeO_(2) NPs against bacteria.Therefore,this review aims to summarize the antibacterial mechanisms of CeO_(2) NPs and correlate the structural and physicochemical properties of CeO_(2) NPs to their antibacterial activity.We further summarize the strategies for the improvement of the antibacterial performance of CeO_(2) NPs and provide our opinions for future challenges as a conclusion.展开更多
基金supported by the National Natural Science Foundation of China(82173796)the Research Project of Zhejiang Chinese Medical University(2023JKZDZC04).
文摘When teaching neurology students about epilepsy,selecting appropriate antiseizure medications(ASMs)based on seizure type is a fundamental objective.Carbamazepine(CBZ),a widely used first-line ASM,is effective against focal seizures,generalized tonic-clonic seizures,and mixed seizure patterns[1].However,CBZ paradoxically aggravates absence seizures,as demonstrated by increased 36 Hz spike-and-wave discharges(SWDs)in both patients and animal models[2,3].While prior studies implicated altered GABAA receptor function in the thalamic ventrobasal complex[4],the precise mechanisms remained unclear.Recently,an inspiring study published on PNAS by Jang et al.from Stanford University has highlighted the thalamic reticular nucleus(RT)as the key brain region responsible for CBZ's aggravating effect on absence seizures[5].The combination of transgenic mouse models,optogenetics,and detailed electrophysiology in the original study provided exceptional precision in probing mechanistic insights,which greatly strengthens the conclusions.
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA28100200)the National Key Research and Development Program of China(2022YFD150080202)+1 种基金the Key Laboratory of Low-carbon Green Agriculture in Northeastern China,Ministry of Agriculture and Rural Affairs of the People’s Republic of China(LCGANE12)the Northeast Agricultural University Scholar Project and Academic Backbones Program(20YJXG13)。
文摘Dairy cattle slurry is a source of nitrogen(N)that can substitute for synthetic fertilizers.This study aimed to identify combinations of synthetic fertilizers and slurry optimal for maize growth and N dynamics in Northeast China.In a two-year field experiment testing synthetic-to-slurry N fertilization ratios,slurry application increased grain yield and yield components,net economic benefit,and N use efficiency relative to synthetic fertilization but led to higher nitrous oxide and ammonia emissions.A 1:1-1:3 synthetic N:slurry N ratio and slurry application at 60-90 t ha^(-1)balanced productivity with N losses.
文摘Ni layers were deposited on the two sides of pure Fe substrate by using electroplating to form Ni/Fe/Ni diffusion couple. After diffusion heat treatment, Fe-Ni laminated composite was obtained with Fe-Ni alloy/Fe/Fe-Ni alloy structure. The results indicate that the Fe-Ni layers combine well with the substrate and the Fe-Ni/Fe interface presents an interlocking microstructure with small-size grains. The concentration of element Ni in the Fe-Ni layer decreases from surface to interior exhibiting a gradient distribution. Geomagnetic shielding factor （SF） of Fe-Ni laminated composite can reach as high as 22.6, which is about seven times of that of pure Fe substrate. Mathematical equation of SF for laminated structure was derived according to magnetic circuit and resistance theory. The theoretical expression reveals that parameters such as the thickness and magnetic permeability of the shield material play an important role in the magnetic shielding behavior and the theoretical calculation results of SF coincide well with our experimental values.
基金supported by the National Key Research and Development Program of China(Grant No.2021YFB2600504)the National Natural Science Foundation of China(Grant No.42072302)the Postdoctoral Fellowship Program of CPSF(Grant No.GZB20240533).
文摘Reliability analysis of soil slopes under rainfall is an important task for landslide risk assessment.Previous studies rarely contribute to the probabilistic analysis of slope stability under rainfall with reinforcement.A new method is suggested for reliability analysis of soil slopes stabilized with piles under rainfall.First,an efficient numerical model is exploited for slope stability analysis,where two types of slope failure modes,i.e.,plastic flow and local failure are considered.To address the blocking effect of piles during seepage analysis,the equivalent hydraulic conductivity of the pile area is estimated according to the effective medium theory.The stabilizing force of piles is investigated by an analytical approach.For saving computational effort,the response surface is established based on a multi-class classification model to predict two types of slope failure modes.Finally,uncertainties in soil parameters and rainfall events are both modelled,and the failure probability of soil slopes within a given time period is assessed through Monte Carlo simulation.An illustrative example is used to demonstrate the performance of the suggested method.It is found that the slope is mainly controlled by local failure.As the pile spacing increases,the likelihood of plastic flow significantly increases.As the piles are located near the slope crest,plastic flow is effectively prevented and the slope is better stabilized against rainfall.If rainfall uncertainties are not considered,the slope failure probability is significantly overestimated.Overall,this study can provide a useful guidance for the design of pile-stabilized slopes against rainfall infiltration.
基金supported by grants from National Key R&D Program of China(2021YFA1101300,2021YFA1101800,2020YFA0112503)Strategic Priority Research Program of the Chinese Academy of Science(XDA16010303)+3 种基金National Natural Science Foundation of China(82030029,81970882,and 92149304)Science and Technology Department of Sichuan Province(2021YFS0371)Shenzhen Fundamental Research Program(JCYJ20190814093401920,JCYJ20210324125608022)Open Research Fund of State Key Laboratory of Genetic Engineering,Fudan University(SKLGE-2104).
文摘Hearing loss and deafness,as a worldwide disability disease,have been troubling human beings.However,the auditory organ of the inner ear is highly heterogeneous and has a very limited number of cells,which are largely uncharacterized in depth.Recently,with the development and utilization of single-cell RNA sequencing(scRNA-seq),researchers have been able to unveil the complex and sophisticated biological mechanisms of various types of cells in the auditory organ at the single-cell level and address the challenges of cellular heterogeneity that are not resolved through by conventional bulk RNA sequencing(bulk RNAseq).Herein,we reviewed the application of scRNA-seq technology in auditory research,with the aim of providing a reference for the development of auditory organs,the pathogenesis of hearing loss,and regenerative therapy.Prospects about spatial transcriptomic scRNA-seq,single-cell based genome,and Live-seq technology will also be discussed.
基金financially supported by the National Natural Science Foundation of China (41671063, 41425003, 41476164, 41671073, and 41721091)Supporting funds also include that from the State Oceanic Administration, the Youth Innovation Promotion Association, NIEER, and the State Key Laboratory of the Cryospheric Science
文摘Data on accumulation and concentration of chemical compounds recorded in an essentially unexplored area(Dome Argus)of the Indian Ocean sector of eastern Antarctica during the past 2,680 years(680 B.C. to 1999 A.D.) are presented. During the first 1, 700 years(680 B. C. to 1000 A. D.), the accumulation data shows a slightly decreasing trend, while chemical ions appear to be stable, representing a stable climatic condition. An intensive increasing trend of the accumulation occurred during the 12^(th) to 14^(th) century. The period from 15^(th) to 19^(th) century was characterized by a rapid reducing accumulation and concentrations of volatile compounds suffering post-depositional loss linked to sparse precipitation amount,which was temporally consistent with the Little Ice Age(LIA) episode. Comparison between observed accumulation rates with other eastern Antarctic ice cores show a consistent decreasing trend during LIA, while sea salt and dust-originated ions increased due to sea ice extent and intensified atmospheric transportation. Distribution of volcanic originated sulfate over the Antarctic continent show a significant change during the 15^(th) century, coincident with the onset of the LIA. These results are important for the assessment of Antarctic continent mass balance and associated interpretation of the Dome A deep ice core records.
基金the Liaoning Province Applied Basic Research Program,2023JH2/101600038.
文摘In the face of the increasingly severe Botnet problem on the Internet,how to effectively detect Botnet traffic in realtime has become a critical problem.Although the existing deepQnetwork(DQN)algorithminDeep reinforcement learning can solve the problem of real-time updating,its prediction results are always higher than the actual results.In Botnet traffic detection,although it performs well in the training set,the accuracy rate of predicting traffic is as high as%;however,in the test set,its accuracy has declined,and it is impossible to adjust its prediction strategy on time based on new data samples.However,in the new dataset,its accuracy has declined significantly.Therefore,this paper proposes a Botnet traffic detection system based on double-layer DQN(DDQN).Two Q-values are designed to adjust the model in policy and action,respectively,to achieve real-time model updates and improve the universality and robustness of the model under different data sets.Experiments show that compared with the DQN model,when using DDQN,the Q-value is not too high,and the detectionmodel has improved the accuracy and precision of Botnet traffic.Moreover,when using Botnet data sets other than the test set,the accuracy and precision of theDDQNmodel are still higher than DQN.
基金the Hong Kong Research Grants Council,Young Collaborative Research Grant(No.C5001-24)Research Institute for Smart Energy(No.UCDC9)+10 种基金Guangdong Provincial Department of Science and Technology(No.2024B1515040002)RSC Sustainable Laboratories Grant(No.L24-8215098370)Guangdong Basic and Applied Basic Research Foundation(No.2023A1515012479)the Science and Technology Innovation Commission of Shenzhen(No.JCYJ20220818100206013)RSC Researcher Collaborations Grant(No.C23-2422436283)State Key Laboratory of Radio Frequency Heterogeneous Integration(Independent Scientific Research Program No.2024010)NTUT-SZU Joint Research Programsupported by the National Natural Science Foundation of China(No.52373248)Guangdong Provincial Department of Science and Technology(Nos.2024A1515010006 and 2024A1515011718)Guangdong Basic and Applied Basic Research Foundation(Nos.2023A1515012479 and 2025A1515011274)the Science and Technology Innovation Commission of Shenzhen(Nos.JCYJ20230808105900001,JCYJ20220531102214032,20231123155543001,and JCYJ20240813141813018).
文摘Multisensory integration allows biological organisms to merge information from various sensory modalities,enhancing perception,decision-making,and adaptability in complex environments.This process,involving specialized cortical and subcortical areas,reduces uncertainty,speeds up responses,enriches perception,and supports adaptive behaviors.Recent findings reveal that even primary sensory cortices contribute to multisensory processing,further boosting adaptability and decisionmaking.Inspired by these natural capabilities,researchers aim to develop artificial systems replicating biological sensory integration to address challenges in robotics,artificial intelligence,and big data.Current artificial systems,often reliant on single-modal perception,struggle in dynamic environments due to their limited adaptability.Advances in materials,device architectures,and neuromorphic technologies,such as memristor-and transistor-based neurons,are enabling the development of multimodal systems with enhanced efficiency,flexibility,and functionality.This review explores strategies to overcome single-modal limitations,focusing on synchronization,fusion,and deep interpretation of sensory data.Future directions emphasize improving integration density,novel device designs,and adaptable mechanisms.Multimodal systems hold promise to revolutionize artificial perception,narrowing the gap between biological systems and intelligent technologies.
基金supported by funds from the National Key R&D Program of China(2021YFA1101300,2021YFA1101800,2020YFA012503,2020YFA0113600,2019YFA0111400)the STI2030-Major Projects(2022ZD0205400)+7 种基金the China Ministry of Science and Technology Grant(2021ZD0203304)the National Natural Science Foundation of China(82330033,82101236,82171149,82030029,82201286,81970882,82371162,U23A200440,92149304)the Natural Science Foundation of Jiangsu Province(BE2019711,BK20232007)the Jiangsu Funding Program for Excellent Postdoctoral Talent(2022ZB697)the China Postdoctoral Science Foundation(2021T140113)the Shenzhen Fundamental Research Program(JCYJ20190814093401920,20210324125608022)the 2022 Open Project Fund of Guangdong Academy of Medical Sciences(YKY-KF202201)the Fundamental Research Funds for the Central Universities(2242021R20050).
文摘Mammalian hair cells(HCs)are arranged spirally along the cochlear axis and correspond to different frequency ranges.Serving as primary sound detectors,HCs spatially segregate component frequencies into a topographical map.HCs display significant diversity in anatomical and physiological characteristics,yet little is known about the organization of the cochleotopic map of HCs or the molecules involved in this process.Using single-cell RNA sequencing,we determined the distinct molecular profiles of inner hair cells and outer hair cells,and we identified numerous position-dependent genes that were expressed as gradients.Newly identified genes such as Ptn,Rxra,and Nfe2l2 were found to be associated with tonotopy.We employed the SCENIC algorithm to predict the transcription factors that potentially shape these tonotopic gradients.Furthermore,we confirmed that Nfe2l2,a tonotopy-related transcription factor,is critical in mice for sensing low-tomedium sound frequencies in vivo.the analysis of cell-cell communication revealed potential receptor-ligand networks linking inner hair cells to spiral ganglion neurons,including pathways such as BDNF-Ntrk and PTN-Scd4,which likely play essential roles in tonotopic maintenance.Overall,these findings suggest that molecular gradients serve as the organizing principle for maintaining the selection of sound frequencies by HCs.
基金supported by the Fundamental Research Funds for the Central Universities(Zhejiang University NGICS Platform)the Zhejiang Provincial Public Welfare Technology Application Research Project(No.LGJ21E070001)。
文摘In recent years,rumors have been shown to have a significant impact on individual and societal activities.As renewables play an increasingly significant role in electricity markets,certain rumors may deviate the bidding behavior of market entities and eventually affect the performance of market operations.In this study,we attempt to reveal the general threats caused by rumors in the context of day-ahead electricity markets considering the integration of volatile renewables.First,we model the propagation of rumors in the societal system considering the weight of propagation resistance,which principally reflects the communication accessibility of market entities.Second,we develop an integrated two-layer network model to uncover the inherent coupling mechanism between market operations and rumor propagation.In particular,the role of electricity market operations on rumor propagation is characterized by changes in the truthfulness of rumors associated with electricity prices.The rumors,in turn,affect the bidding quantities of market entities in electricity market operations.Finally,numerical experiments are conducted on modified IEEE 6-bus and 118-bus systems.The results demonstrate the potential threats of rumors to electricity market operations with different penetration levels of renewables.
基金supported in part by the National Natural Science Foundation of China(No.52372407)the Jilin Provincial Science and Technology Development Plan Project(No.20230402064GH).
文摘Lane changing is common in driving.Thus,the possibility of traffic accidents occurring during lane changes is high given the complexity of this process.One of the primary objectives of intelligent driving is to increase a vehicle’s behavior,making it more similar to that of a real driver.This study proposes a decision-making framework based on deep reinforcement learning(DRL)in a lane-changing scenario,which seeks to find a driving strategy that simultaneously considers the expected lane-changing risks and gains.First,a fuzzy logic lane-changing controller is designed.It outputs the corresponding safety and lane-change gain weights by inputting relevant driving parameters.Second,the obtained weights are brought into the constructed reward function of DRL.The model parameters are designed and trained on the basis of lane-changing behavior.Finally,we conducted experiments in a simulator to evaluate the performance of our developed algorithm in urban scenarios.To visualize and validate the estimated driving intentions,lane-changing strategies were tested under four scenarios.The results show that the average improvement in travel efficiency in the four scenarios is 19%.In addition,the average accident rate in the four scenarios increased by only 4%.We combine fuzzy logic and DRL reward functions to personify the lane-changing behavior of intelligent driving.Compared with conservative strategies that prioritize only safety,this method can considerably improve the number of lane changes and travel efficiency for autonomous vehicles(AVs)on the premise of ensuring safety.The approach provides an effective and explainable method designed for facilitating intelligent driving lane-changing behavior.
文摘Use of cerium oxide nanoparticles(CeO_(2) NPs)to optimize management of resistant microorganisms has received increasing attention due to non-specific activity of inorganic antibacterial agents.Understanding the mechanism of action is essential to elucidating the antibacterial activity of CeO_(2) NPs against bacteria.Therefore,this review aims to summarize the antibacterial mechanisms of CeO_(2) NPs and correlate the structural and physicochemical properties of CeO_(2) NPs to their antibacterial activity.We further summarize the strategies for the improvement of the antibacterial performance of CeO_(2) NPs and provide our opinions for future challenges as a conclusion.
