Based on the artificial intelligence algorithm of RetinaNet,we propose the Ghost-RetinaNet in this paper,a fast shadow detection method for photovoltaic panels,to solve the problems of extreme target density,large ove...Based on the artificial intelligence algorithm of RetinaNet,we propose the Ghost-RetinaNet in this paper,a fast shadow detection method for photovoltaic panels,to solve the problems of extreme target density,large overlap,high cost and poor real-time performance in photovoltaic panel shadow detection.Firstly,the Ghost CSP module based on Cross Stage Partial(CSP)is adopted in feature extraction network to improve the accuracy and detection speed.Based on extracted features,recursive feature fusion structure ismentioned to enhance the feature information of all objects.We introduce the SiLU activation function and CIoU Loss to increase the learning and generalization ability of the network and improve the positioning accuracy of the bounding box regression,respectively.Finally,in order to achieve fast detection,the Ghost strategy is chosen to lighten the size of the algorithm.The results of the experiment show that the average detection accuracy(mAP)of the algorithm can reach up to 97.17%,the model size is only 8.75 MB and the detection speed is highly up to 50.8 Frame per second(FPS),which can meet the requirements of real-time detection speed and accuracy of photovoltaic panels in the practical environment.The realization of the algorithm also provides new research methods and ideas for fault detection in the photovoltaic power generation system.展开更多
The subthalamic nucleus(STN)is considered the best target for deep brain stimulation treatments of Parkinson’s disease(PD).It is difficult to localize the STN due to its small size and deep location.Multichannel micr...The subthalamic nucleus(STN)is considered the best target for deep brain stimulation treatments of Parkinson’s disease(PD).It is difficult to localize the STN due to its small size and deep location.Multichannel microelectrode arrays(MEAs)can rapidly and precisely locate the STN,which is important for precise stimulation.In this paper,16-channel MEAs modified with multiwalled carbon nanotube/poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate)(MWCNT/PEDOT:PSS)nanocomposites were designed and fabricated,and the accurate and rapid identification of the STN in PD rats was performed using detection sites distributed at different brain depths.These results showed that nuclei in 6-hydroxydopamine hydrobromide(6-OHDA)-lesioned brains discharged more intensely than those in unlesioned brains.In addition,the MEA simultaneously acquired neural signals from both the STN and the upper or lower boundary nuclei of the STN.Moreover,higher values of spike firing rate,spike amplitude,local field potential(LFP)power,and beta oscillations were detected in the STN of the 6-OHDA-lesioned brain,and may therefore be biomarkers of STN localization.Compared with the STNs of unlesioned brains,the power spectral density of spikes and LFPs synchronously decreased in the delta band and increased in the beta band of 6-OHDA-lesioned brains.This may be a cause of sleep and motor disorders associated with PD.Overall,this work describes a new cellular-level localization and detection method and provides a tool for future studies of deep brain nuclei.展开更多
Timely monitoring of anesthesia status during surgery is important to prevent an overdose of isoflurane anesthesia.Therefore,in-depth studies of the neural mechanisms of anesthetics are warranted.Hippocampal CA1 plays...Timely monitoring of anesthesia status during surgery is important to prevent an overdose of isoflurane anesthesia.Therefore,in-depth studies of the neural mechanisms of anesthetics are warranted.Hippocampal CA1 plays an important role during anesthesia.Currently,a high spatiotemporal resolution microdevice technology for the accurate detection of deep brain nuclei is lacking.In this research,four-shank 32-channel implantable microelectrode arrays(MEAs)were developed for the real-time recording of single-cell level neural information in rat hippocampal CA1.Platinum nanoparticles were modified onto the microelectrodes to substantially enhance the electrical properties of the microelectrode arrays.The modified MEAs exhibited low impedance(11.5±1 kΩ)and small phase delay(-18.5°±2.54°),which enabled the MEAs to record single-cell level neural information with a high signal-to-noise ratio.The MEAs were implanted into the CA1 nuclei of the anesthetized rats,and the electrophysiological signals were recorded under different degrees of anesthesia mediated by low-dose concentrations of isoflurane.The recorded signals were analyzed in depth.Isoflurane caused an inhibition of spike firing rate in hippocampal CA1 neurons,while inducing low-frequency oscillations in CA1,thus enhancing the low-frequency power of local field potentials.In this manner,the spike firing rate and the power of local field potentials in CA1 could characterize the degree of isoflurane anesthesia.The present study provides a technical tool to study the neural mechanisms of isoflurane anesthesia and a research method for monitoring the depth of isoflurane anesthesia in clinical practice.展开更多
Neural information transmission between deep brain nuclei and the cortex is essential for brain function.Currently,high-resolution simultaneous detection of neural information between the deep brain nuclei and the lar...Neural information transmission between deep brain nuclei and the cortex is essential for brain function.Currently,high-resolution simultaneous detection of neural information between the deep brain nuclei and the large-scale cortex still poses challenges.We have developed the microelectrode arrays based on the Micro-Electro-Mechanical System technology,and modified the electrode surface with nanomaterials to improve the electrode performance.This study combined microelectrode arrays and extended-field-of-view microscopy to achieve simultaneous recording of claustrum(CLA)electrophysiology and wide-field cortical calcium imaging at single-cell resolution.This work investigated the synchronous changes of neural information in CLA and cortex of mice during the whole process from wakefulness to anesthesia and then to wakefulness,and summarized the characteristics of the CLA electrophysiology and cortical calcium signaling under different inhalation anesthesia concentrations.We found the synergy between microscopic spike and local field potential of CLA neurons under deep anesthesia,and the law that high inhalation anesthesia concentration enhanced the synchronization between neurons in CLA and cortex.The combination of microelectrode arrays and extended-field-of-view microscopy also gives a new method for synchronous detection of multimodal and multi-brain region neural information.展开更多
What is already known about this topic?Foodborne diseases,representing significant food safety and public health challenges globally,are not welldocumented in terms of incidence,particularly for cases characterized by...What is already known about this topic?Foodborne diseases,representing significant food safety and public health challenges globally,are not welldocumented in terms of incidence,particularly for cases characterized by acute gastroenteritis(AGI)in China.What is added by this report?This study developed a pyramid model to estimate the incidence of five pathogens,stratified by gender and age.The estimated incidences per 100,000 people with 95%uncertainty intervals(UI)are as follows:Norovirus,3,188.28(95%UI:2,518.03,7,296.96);Salmonella spp.,1,295.59(95%UI:1,002.62,1,573.11);diarrheagenic E.coli(DEC),782.62(95%UI:651.19,932.05);Vibrio parahaemolyticus,404.06(95%UI:342.19,468.93);and Shigella spp.,26.73(95%UI:21.05,33.46).What are the implications for public health practice?This study elucidates the incidence rates across various gender and age groups,thereby identifying priority populations for targeted preventive interventions aimed at reducing disease burden.These insights are crucial for the development of public health policies and management of food safety risks.展开更多
Grid cells with stable hexagonal firing patterns in the medial entorhinal cortex(MEC)carry the vital function of serving as a metric for the surrounding environment.Whether this mechanism processes only spatial inform...Grid cells with stable hexagonal firing patterns in the medial entorhinal cortex(MEC)carry the vital function of serving as a metric for the surrounding environment.Whether this mechanism processes only spatial information or involves nonspatial information remains elusive.Here,we fabricated an MEC-shaped microelectrode array(MEA)to detect the variation in neural spikes and local field potentials of the MEC when rats forage in a square enclosure with a planar,three-dimensional object and social landmarks in sequence.The results showed that grid cells exhibited rate remapping under social conditions in which spike firing fields closer to the social landmark had a higher firing rate.Furthermore,global remapping showed that hexagonal firing patterns were rotated and scaled when the planar landmark was replaced with object and social landmarks.In addition,when grid cells were activated,the local field potentials were dominated by the theta band(5–8 Hz),and spike phase locking was observed at troughs of theta oscillations.Our results suggest the pattern separation mechanism of grid cells in which the spatial firing structure and firing rate respond to spatial and social information,respectively,which may provide new insights into how the brain creates a cognitive map.展开更多
Threatened animals respond with appropriate defensive behaviors to survive.It has been accepted that midbrain periaqueductal gray(PAG)plays an essential role in the circuitry system and organizes defensive behavioral ...Threatened animals respond with appropriate defensive behaviors to survive.It has been accepted that midbrain periaqueductal gray(PAG)plays an essential role in the circuitry system and organizes defensive behavioral responses.However,the role and correlation of different PAG subregions in the expression of different defensive behaviors remain largely unexplored.Here,we designed and manufactured a microelectrode array(MEA)to simultaneously detect the activities of dPAG and vPAG neurons in freely behaving rats.To improve the detection performance of the MEAs,PtNP/PEDOT:PSS nanocomposites were modified onto the MEAs.Subsequently,the predator odor was used to induce the rat’s innate fear,and the changes and information transmission in neuronal activities were detected in the dPAG and vPAG.Our results showed that the dPAG and vPAG participated in innate fear,but the activation degree was distinct in different defense behaviors.During flight,neuronal responses were stronger and earlier in the dPAG than the vPAG,while vPAG neurons responded more strongly during freezing.By applying high-performance MEA,it was revealed that neural information spread from the activated dPAG to the weakly activated vPAG.Our research also revealed that dPAG and vPAG neurons exhibited different defensive discharge characteristics,and dPAG neurons participated in the regulation of defense responses with burst-firing patterns.The slow activation and continuous firing of vPAG neurons cooresponded with the regulation of long-term freezing responses.The results demonstrated the important role of PAG neuronal activities in controlling different aspects of defensive behaviors and provided novel insights for investigating defense from the electrophysiological perspective.展开更多
Diarrheagenic Escherichia coli is one of the most prevalent foodborne pathogens and poses significant clinical chal-lenges due to increasing rates of antibiotic resistance.In this study,9,068 diarrheagenic E.coli isol...Diarrheagenic Escherichia coli is one of the most prevalent foodborne pathogens and poses significant clinical chal-lenges due to increasing rates of antibiotic resistance.In this study,9,068 diarrheagenic E.coli isolates from sporadic diarrhea cases across 20 provinces of China from 2016 to 2022 were systematically analyzed to determine the preva-lence and distribution of resistance.A total of 14 antibiotics were included in the antimicrobial resistance surveil-lance.Antimicrobial susceptibility testing indicated that the majority of the isolates(89.3%)were resistant to at least one antimicrobial agent,with a significant proportion(60.3%)demonstrating multidrug resistance.Isolates showed high levels of resistance to ampicillin(68.2%)and high sensitivity to imipenem(97.0%).Over the 7 years,an increas-ing trend in resistance to cefoxitin and chloramphenicol among the isolates was found.Enteroaggregative E.coli was identified as the predominant pathotype.Furthermore,antimicrobial resistance rates were higher among the iso-lates from infants under 1 year of age compared to other populations and resistance levels differed among patho-types.In summary,our findings revealed the detailed resistance characteristics of diarrheagenic E.coli strains isolated from human sporadic diarrhea cases in China,offering valuable insights that can inform clinical antibiotic treatment strategies and priorities.展开更多
Terahertz waves can interact with the nervous system of organisms under certain conditions.Compared to common optical modulation methods,terahertz waves have the advantages of low photon energy and low risk;therefore,...Terahertz waves can interact with the nervous system of organisms under certain conditions.Compared to common optical modulation methods,terahertz waves have the advantages of low photon energy and low risk;therefore,the use of terahertz waves to regulate the nervous system is a promising new method of neuromodulation.However,most of the research has focused on the use of terahertz technology for biodetection,while relatively little research has been carried out on the biological effects of terahertz radiation on the nervous system,and there are almost no review papers on this topic.In the present article,we begin by reviewing principles and objects of research regarding the biological effects of terahertz radiation and summarizing the current state of related research from a variety of aspects,including the bioeffects of terahertz radiation on neurons in vivo and in vitro,novel regulation and detection methods with terahertz radiation devices and neural microelectrode arrays,and theoretical simulations of neural information encoding and decoding.In addition,we discuss the main problems and their possible causes and give some recommendations on possible future breakthroughs.This paper will provide insight and assistance to researchers in the fields of neuroscience,terahertz technology and biomedicine.展开更多
Epilepsy severely impairs the cognitive behavior of patients.It remains unclear whether epilepsy-induced cognitive impairment is associated with neuronal activities in the medial entorhinal cortex(MEC),a region known ...Epilepsy severely impairs the cognitive behavior of patients.It remains unclear whether epilepsy-induced cognitive impairment is associated with neuronal activities in the medial entorhinal cortex(MEC),a region known for its involvement in spatial cognition.To explore this neural mechanism,we recorded the spikes and local field potentials from MEC neurons in lithium-pilocarpine-induced epileptic rats using self-designed microelectrode arrays.Through the open field test,we identified spatial cells exhibiting spatially selective firing properties and assessed their spatial representations in relation to the progression of epilepsy.Meanwhile,we analyzed theta oscillations and theta modulation in both excitatory and inhibitory neurons.Furthermore,we used a novel object recognition test to evaluate changes in spatial cognitive ability of epileptic rats.After the epilepsy modeling,the spatial tuning of various types of spatial cells had suffered a rapid and pronounced damage during the latent period(1 to 5 d).Subsequently,the firing characteristics and theta oscillations were impaired.In the chronic period(>10 d),the performance in the novel object experiment deteriorated.In conclusion,our study demonstrates the detrimental effect on spatial representations and electrophysiological properties of MEC neurons in the epileptic latency,suggesting the potential use of these changes as a"functional biomarker"for predicting cognitive impairment caused by epilepsy.展开更多
基金supported by the National Natural Science Foundation of China(No.52074305)Henan Scientific and Technological Research Project(No.212102210005)Open Fund of Henan Engineering Laboratory for Photoelectric Sensing and Intelligent Measurement and Control(No.HELPSIMC-2020-00X).
文摘Based on the artificial intelligence algorithm of RetinaNet,we propose the Ghost-RetinaNet in this paper,a fast shadow detection method for photovoltaic panels,to solve the problems of extreme target density,large overlap,high cost and poor real-time performance in photovoltaic panel shadow detection.Firstly,the Ghost CSP module based on Cross Stage Partial(CSP)is adopted in feature extraction network to improve the accuracy and detection speed.Based on extracted features,recursive feature fusion structure ismentioned to enhance the feature information of all objects.We introduce the SiLU activation function and CIoU Loss to increase the learning and generalization ability of the network and improve the positioning accuracy of the bounding box regression,respectively.Finally,in order to achieve fast detection,the Ghost strategy is chosen to lighten the size of the algorithm.The results of the experiment show that the average detection accuracy(mAP)of the algorithm can reach up to 97.17%,the model size is only 8.75 MB and the detection speed is highly up to 50.8 Frame per second(FPS),which can meet the requirements of real-time detection speed and accuracy of photovoltaic panels in the practical environment.The realization of the algorithm also provides new research methods and ideas for fault detection in the photovoltaic power generation system.
基金funded by the National Natural Science Foundation of China(Nos.L2224042,T2293731,62121003,61960206012,61973292,62171434,61975206,and 61971400)the Frontier Interdisciplinary Project of the Chinese Academy of Sciences(No.XK2022XXC003)+2 种基金the National Key Research and Development Program of China(Nos.2022YFC2402501 and 2022YFB3205602)the Major Program of Scientific and Technical Innovation 2030(No.2021ZD02016030)the Scientific Instrument Developing Project of he Chinese Academy of Sciences(No.GJJSTD20210004).
文摘The subthalamic nucleus(STN)is considered the best target for deep brain stimulation treatments of Parkinson’s disease(PD).It is difficult to localize the STN due to its small size and deep location.Multichannel microelectrode arrays(MEAs)can rapidly and precisely locate the STN,which is important for precise stimulation.In this paper,16-channel MEAs modified with multiwalled carbon nanotube/poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate)(MWCNT/PEDOT:PSS)nanocomposites were designed and fabricated,and the accurate and rapid identification of the STN in PD rats was performed using detection sites distributed at different brain depths.These results showed that nuclei in 6-hydroxydopamine hydrobromide(6-OHDA)-lesioned brains discharged more intensely than those in unlesioned brains.In addition,the MEA simultaneously acquired neural signals from both the STN and the upper or lower boundary nuclei of the STN.Moreover,higher values of spike firing rate,spike amplitude,local field potential(LFP)power,and beta oscillations were detected in the STN of the 6-OHDA-lesioned brain,and may therefore be biomarkers of STN localization.Compared with the STNs of unlesioned brains,the power spectral density of spikes and LFPs synchronously decreased in the delta band and increased in the beta band of 6-OHDA-lesioned brains.This may be a cause of sleep and motor disorders associated with PD.Overall,this work describes a new cellular-level localization and detection method and provides a tool for future studies of deep brain nuclei.
基金sponsored by the National Natural Science Foundation of China(T2293731,61960206012,62121003,62171434,61971400,61975206,and 61973292)the Scientific Instrument Developing Project of the Chinese Academy of Sciences(GJJSTD20210004)+1 种基金the National Key Research and Development Program(2022YFC2402501,2022YFB3205602)Major Program of Scientific and Technical Innovation 2030(2021ZD0201603).
文摘Timely monitoring of anesthesia status during surgery is important to prevent an overdose of isoflurane anesthesia.Therefore,in-depth studies of the neural mechanisms of anesthetics are warranted.Hippocampal CA1 plays an important role during anesthesia.Currently,a high spatiotemporal resolution microdevice technology for the accurate detection of deep brain nuclei is lacking.In this research,four-shank 32-channel implantable microelectrode arrays(MEAs)were developed for the real-time recording of single-cell level neural information in rat hippocampal CA1.Platinum nanoparticles were modified onto the microelectrodes to substantially enhance the electrical properties of the microelectrode arrays.The modified MEAs exhibited low impedance(11.5±1 kΩ)and small phase delay(-18.5°±2.54°),which enabled the MEAs to record single-cell level neural information with a high signal-to-noise ratio.The MEAs were implanted into the CA1 nuclei of the anesthetized rats,and the electrophysiological signals were recorded under different degrees of anesthesia mediated by low-dose concentrations of isoflurane.The recorded signals were analyzed in depth.Isoflurane caused an inhibition of spike firing rate in hippocampal CA1 neurons,while inducing low-frequency oscillations in CA1,thus enhancing the low-frequency power of local field potentials.In this manner,the spike firing rate and the power of local field potentials in CA1 could characterize the degree of isoflurane anesthesia.The present study provides a technical tool to study the neural mechanisms of isoflurane anesthesia and a research method for monitoring the depth of isoflurane anesthesia in clinical practice.
基金sponsored by the National Natural Science Foundation of China(T2293730,T2293731,62121003,61960206012,62333020 and 62171434)the National Key Research and Development Program of China(2022YFC2402501,2022YFB3205602)Major Program of Scientific and Technical Innovation 2030(2021ZD02016030).
文摘Neural information transmission between deep brain nuclei and the cortex is essential for brain function.Currently,high-resolution simultaneous detection of neural information between the deep brain nuclei and the large-scale cortex still poses challenges.We have developed the microelectrode arrays based on the Micro-Electro-Mechanical System technology,and modified the electrode surface with nanomaterials to improve the electrode performance.This study combined microelectrode arrays and extended-field-of-view microscopy to achieve simultaneous recording of claustrum(CLA)electrophysiology and wide-field cortical calcium imaging at single-cell resolution.This work investigated the synchronous changes of neural information in CLA and cortex of mice during the whole process from wakefulness to anesthesia and then to wakefulness,and summarized the characteristics of the CLA electrophysiology and cortical calcium signaling under different inhalation anesthesia concentrations.We found the synergy between microscopic spike and local field potential of CLA neurons under deep anesthesia,and the law that high inhalation anesthesia concentration enhanced the synchronization between neurons in CLA and cortex.The combination of microelectrode arrays and extended-field-of-view microscopy also gives a new method for synchronous detection of multimodal and multi-brain region neural information.
基金Supported by the National Key Research and Development Program of China(grant number 2022YFC2303900).
文摘What is already known about this topic?Foodborne diseases,representing significant food safety and public health challenges globally,are not welldocumented in terms of incidence,particularly for cases characterized by acute gastroenteritis(AGI)in China.What is added by this report?This study developed a pyramid model to estimate the incidence of five pathogens,stratified by gender and age.The estimated incidences per 100,000 people with 95%uncertainty intervals(UI)are as follows:Norovirus,3,188.28(95%UI:2,518.03,7,296.96);Salmonella spp.,1,295.59(95%UI:1,002.62,1,573.11);diarrheagenic E.coli(DEC),782.62(95%UI:651.19,932.05);Vibrio parahaemolyticus,404.06(95%UI:342.19,468.93);and Shigella spp.,26.73(95%UI:21.05,33.46).What are the implications for public health practice?This study elucidates the incidence rates across various gender and age groups,thereby identifying priority populations for targeted preventive interventions aimed at reducing disease burden.These insights are crucial for the development of public health policies and management of food safety risks.
基金sponsored by the National Key R&D Program(Grant No.2017YFA0205902)the National Natural Science Foundation of China(Grant No.62121003,61960206012,61973292,61975206,61971400,and 62171434)+1 种基金the Scientific Instrument Developing Project of the Chinese Academy of Sciences(Grant No.GJJSTD20210004)the Major Program of Scientific and Technical Innovation 2030(No.2021ZD0201603).
文摘Grid cells with stable hexagonal firing patterns in the medial entorhinal cortex(MEC)carry the vital function of serving as a metric for the surrounding environment.Whether this mechanism processes only spatial information or involves nonspatial information remains elusive.Here,we fabricated an MEC-shaped microelectrode array(MEA)to detect the variation in neural spikes and local field potentials of the MEC when rats forage in a square enclosure with a planar,three-dimensional object and social landmarks in sequence.The results showed that grid cells exhibited rate remapping under social conditions in which spike firing fields closer to the social landmark had a higher firing rate.Furthermore,global remapping showed that hexagonal firing patterns were rotated and scaled when the planar landmark was replaced with object and social landmarks.In addition,when grid cells were activated,the local field potentials were dominated by the theta band(5–8 Hz),and spike phase locking was observed at troughs of theta oscillations.Our results suggest the pattern separation mechanism of grid cells in which the spatial firing structure and firing rate respond to spatial and social information,respectively,which may provide new insights into how the brain creates a cognitive map.
基金This work was sponsored by the National Natural Science Foundation of China(T2293731,L2224042,61988102,62121003,61960206012,62171434,61971400,61975206,and 61973292)the Frontier Interdisciplinary Project of the Chinese Academy of Sciences(XK2022XXC003)+2 种基金STI 2030-Major Projects 2021ZD0201600the National Key R&D Program of China(2022YFC2402501)the Scientific Instrument Developing Project of the Chinese Academy of Sciences(GJJSTD20210004).
文摘Threatened animals respond with appropriate defensive behaviors to survive.It has been accepted that midbrain periaqueductal gray(PAG)plays an essential role in the circuitry system and organizes defensive behavioral responses.However,the role and correlation of different PAG subregions in the expression of different defensive behaviors remain largely unexplored.Here,we designed and manufactured a microelectrode array(MEA)to simultaneously detect the activities of dPAG and vPAG neurons in freely behaving rats.To improve the detection performance of the MEAs,PtNP/PEDOT:PSS nanocomposites were modified onto the MEAs.Subsequently,the predator odor was used to induce the rat’s innate fear,and the changes and information transmission in neuronal activities were detected in the dPAG and vPAG.Our results showed that the dPAG and vPAG participated in innate fear,but the activation degree was distinct in different defense behaviors.During flight,neuronal responses were stronger and earlier in the dPAG than the vPAG,while vPAG neurons responded more strongly during freezing.By applying high-performance MEA,it was revealed that neural information spread from the activated dPAG to the weakly activated vPAG.Our research also revealed that dPAG and vPAG neurons exhibited different defensive discharge characteristics,and dPAG neurons participated in the regulation of defense responses with burst-firing patterns.The slow activation and continuous firing of vPAG neurons cooresponded with the regulation of long-term freezing responses.The results demonstrated the important role of PAG neuronal activities in controlling different aspects of defensive behaviors and provided novel insights for investigating defense from the electrophysiological perspective.
基金support provided by The National Key Research and Development Program of China,under Grant number 2022YFD1800403.
文摘Diarrheagenic Escherichia coli is one of the most prevalent foodborne pathogens and poses significant clinical chal-lenges due to increasing rates of antibiotic resistance.In this study,9,068 diarrheagenic E.coli isolates from sporadic diarrhea cases across 20 provinces of China from 2016 to 2022 were systematically analyzed to determine the preva-lence and distribution of resistance.A total of 14 antibiotics were included in the antimicrobial resistance surveil-lance.Antimicrobial susceptibility testing indicated that the majority of the isolates(89.3%)were resistant to at least one antimicrobial agent,with a significant proportion(60.3%)demonstrating multidrug resistance.Isolates showed high levels of resistance to ampicillin(68.2%)and high sensitivity to imipenem(97.0%).Over the 7 years,an increas-ing trend in resistance to cefoxitin and chloramphenicol among the isolates was found.Enteroaggregative E.coli was identified as the predominant pathotype.Furthermore,antimicrobial resistance rates were higher among the iso-lates from infants under 1 year of age compared to other populations and resistance levels differed among patho-types.In summary,our findings revealed the detailed resistance characteristics of diarrheagenic E.coli strains isolated from human sporadic diarrhea cases in China,offering valuable insights that can inform clinical antibiotic treatment strategies and priorities.
基金sponsored by the National Natural Science Foundation of China(L2224042,61988102,T2293731,62121003,61960206012,62171434,61975206 and 61973292)the Frontier Interdisciplinary Project of the Chinese Academy of Sciences(XK2022XXC003)+1 种基金STI 2030-Major Projects 2021ZD0201600,the National Key R&D Program of China(2022YFC2402501)the Scientific Instrument Developing Project of the Chinese Academy of Sciences(GJJSTD20210004).
文摘Terahertz waves can interact with the nervous system of organisms under certain conditions.Compared to common optical modulation methods,terahertz waves have the advantages of low photon energy and low risk;therefore,the use of terahertz waves to regulate the nervous system is a promising new method of neuromodulation.However,most of the research has focused on the use of terahertz technology for biodetection,while relatively little research has been carried out on the biological effects of terahertz radiation on the nervous system,and there are almost no review papers on this topic.In the present article,we begin by reviewing principles and objects of research regarding the biological effects of terahertz radiation and summarizing the current state of related research from a variety of aspects,including the bioeffects of terahertz radiation on neurons in vivo and in vitro,novel regulation and detection methods with terahertz radiation devices and neural microelectrode arrays,and theoretical simulations of neural information encoding and decoding.In addition,we discuss the main problems and their possible causes and give some recommendations on possible future breakthroughs.This paper will provide insight and assistance to researchers in the fields of neuroscience,terahertz technology and biomedicine.
基金funded by the National Natural Science Foundation of China(nos.L2224042,T2293731,62121003,61960206012,61973292,62171434,61975206,and 61971400)the Frontier Interdisciplinary Project of the Chinese Academy of Sciences(no.XK2022XXC003)+2 种基金the National Key Research and Development Program of China(nos.2022YFC2402501 and 2022YFB3205602)Major Program of Scientific and Technical Innovation 2030(no.2021ZD02016030)the Scientific Instrument Developing Project of the Chinese Academy of Sciences(no.GJJSTD20210004).
文摘Epilepsy severely impairs the cognitive behavior of patients.It remains unclear whether epilepsy-induced cognitive impairment is associated with neuronal activities in the medial entorhinal cortex(MEC),a region known for its involvement in spatial cognition.To explore this neural mechanism,we recorded the spikes and local field potentials from MEC neurons in lithium-pilocarpine-induced epileptic rats using self-designed microelectrode arrays.Through the open field test,we identified spatial cells exhibiting spatially selective firing properties and assessed their spatial representations in relation to the progression of epilepsy.Meanwhile,we analyzed theta oscillations and theta modulation in both excitatory and inhibitory neurons.Furthermore,we used a novel object recognition test to evaluate changes in spatial cognitive ability of epileptic rats.After the epilepsy modeling,the spatial tuning of various types of spatial cells had suffered a rapid and pronounced damage during the latent period(1 to 5 d).Subsequently,the firing characteristics and theta oscillations were impaired.In the chronic period(>10 d),the performance in the novel object experiment deteriorated.In conclusion,our study demonstrates the detrimental effect on spatial representations and electrophysiological properties of MEC neurons in the epileptic latency,suggesting the potential use of these changes as a"functional biomarker"for predicting cognitive impairment caused by epilepsy.
