The traditional Von Neumann architecture for processing information is difficult to meet the needs of the big data era, while low-power, small-sized neurosynaptic devices can operate and store information, so that the...The traditional Von Neumann architecture for processing information is difficult to meet the needs of the big data era, while low-power, small-sized neurosynaptic devices can operate and store information, so that they have received extensive attention. Due to the development of artificial intelligence and robotics, neurosynaptic devices have been given high expectations and requirements. The trend of functionalization, intelligence, and integration of computing and storage is obvious. In this review, the basic principles and types of neurosynaptic devices are summarized, the achievements of neurosynaptic devices for human perception systems are discussed and a prospect on the development trend is also given.展开更多
An obstacle perception system for intelligent vehicle is proposed.The proposed system combines the stereo version technique and the deep learning network model,and is applied to obstacle perception tasks in complex en...An obstacle perception system for intelligent vehicle is proposed.The proposed system combines the stereo version technique and the deep learning network model,and is applied to obstacle perception tasks in complex environment.In this paper,we provide a complete system design project,which includes the hardware parameters,software framework,algorithm principle,and optimization method.In addition,special experiments are designed to demonstrate that the performance of the proposed system meets the requirements of actual application.The experiment results show that the proposed system is valid to both standard obstacles and non-standard obstacles,and suitable for different weather and lighting conditions in complex environment.It announces that the proposed system is flexible and robust to the intelligent vehicle.展开更多
Artificial tactile perception system,as an emerging sensor technology,is expected to provide human-like touch sensing ability for robots,prosthetics,and smart wearable equipment.The introduction of neuromorphic device...Artificial tactile perception system,as an emerging sensor technology,is expected to provide human-like touch sensing ability for robots,prosthetics,and smart wearable equipment.The introduction of neuromorphic devices could observably increase efficiency and reduce circuit complexity during signal conversion and pulse encoding operations.Herein,we demonstrate a two-dimensional tellurene(Te)based threshold switching(TS)memristive device with low high resistance state variation,which is successfully applied for constructing an artificial nociceptive and emulating a leaky integrate-and-fire(LIF)neuron.Furthermore,a self-powered artificial tactile perception system is constructed by combining this LIF neuron and piezoelectric nanogenerator device,demonstrating a self-protection function under mechanical stimulation,i.e.,hand retraction reflex.The bioinspired artificial tactile perception system indicates the potential of developing next-generation bio-inspired electronics and human-machine interaction systems.展开更多
Biologically inspired neuromorphic perceptual systems have great potential for efficient processing of multisensory signals from the physical world.Recently,artificial neurons constructed by memristor have been develo...Biologically inspired neuromorphic perceptual systems have great potential for efficient processing of multisensory signals from the physical world.Recently,artificial neurons constructed by memristor have been developed with good biological plausibility and density,but the filament-type memristor is limited by undesirable temporal and spatial variations,high electroforming voltage and limited reproducibility and the Mott insulator type memristor suffer from large driving current.Here,we propose a novel antiferroelectric artificial neu-ron(AFEAN)based on the intrinsic polarization and depolarization of AgNbO_(3)(ANO)antiferroelectric(AFE)films to address these challenges.The antiferroelectric memristor exhibits low power consumption(8.99 nW),excel-lent durability(-10^(5))and high stability.Using such an AFEAN,a spike-based antiferroelectric neuromorphic perception system(AFENPS)has been designed,which can encode light level and temperature signals into spikes,and further construct a spiking neural network(SNN)(784×196×10)for optical image classification and thermal imaging classification,achieving 95.34%and 95.76%recognition accuracy on the MNIST dataset,respectively.This work paves the way for the simulation of spiking neurons using antiferro-electric materials and promising a promising method for the development of highly efficient hardware for neuromorphic perception systems.展开更多
Flip-flow screens offer unique advantages in grading fine-grained materials.To address inaccuracies caused by sensor vibra-tions in traditional contact measurement methods,we constructed a non-invasive measurement sys...Flip-flow screens offer unique advantages in grading fine-grained materials.To address inaccuracies caused by sensor vibra-tions in traditional contact measurement methods,we constructed a non-invasive measurement system based on electrical and optical sig-nals.A trajectory tracking algorithm for the screen-body was developed to visually measure the kinematics.Employing the principle oflaser reflection for distance measurement,optical techniques were performed to capture the kinematic information of the screen-plate.Ad-ditionally,by using Wi-Fi and Bluetooth transmission of electrical signals,tracer particle tracking technology was implemented to elec-trically measure the kinematic information of mineral particles.Consequently,intelligent fusion and perception of the kinematic informa-tion for the screen-body,screen-plate,and particles in the screening system have been achieved.展开更多
This study focuses on the ecosystem cultural service quality of Qu County Congren Valley Forest Park from the perspective of tourist perception.Using the Importance-Performance Analysis(IPA)questionnaire survey method...This study focuses on the ecosystem cultural service quality of Qu County Congren Valley Forest Park from the perspective of tourist perception.Using the Importance-Performance Analysis(IPA)questionnaire survey method and SPSS data analysis techniques,we systematically evaluate tourists’cognitive differences and improvement paths regarding the cultural service value of the scenic area.Based on the nonmaterial characteristics of ecosystem cultural services,combined with the unique Congren culture and natural landscape resources of Congren Valley,we designed a five-dimensional scale including natural landscape and ecological protection,cultural display and interpretation services,cultural activity participation and experience,infrastructure and supporting services,and safety management.This covers tourists’evaluations of the importance of elements such as cultural displays,interpretation systems,interactive activities,and facility support,as well as their actual satisfaction feedback.Through descriptive statistical analysis,reliability and validity testing,factor analysis,and IPA matrix analysis,we reveal the core contradictions and improvement directions perceived by tourists.The study found that the convenience of facilities such as signage,rest areas,toilets,roads,and the cleanliness of the scenic area are key areas for improvement.Additionally,different age groups perceive differences in the cultural service quality of the Congren Valley Forest Park ecosystem.The study concludes that tourists have a high level of concern for the convenience of scenic infrastructure and sanitary environment.Improving these facilities can help increase tourist satisfaction and the overall service quality of the scenic area.Simultaneously,meeting the needs of segmented markets and constructing a three-in-one service system of“deep excavation of cultural symbols–digital storytelling–immersive scenes”is recommended.展开更多
Constructing an artificial intelligence interactive system is still challenging due to the lack of an integrated artificial sensing and processing system with high performance.In this work,an artificial tactile percep...Constructing an artificial intelligence interactive system is still challenging due to the lack of an integrated artificial sensing and processing system with high performance.In this work,an artificial tactile perception system with integrated sensing,storage,and computing functions is designed based on silk fibroin composite memristors and piezoresistive pressure sensors.The sensors based on polydimethylsiloxane/silver nanowires can sense the external pressure stimulation with fast response speed.In addition,the composite memristor based on silk fibroin possesses good cyclic stability and synaptic plasticity simulation and acts as an artificial synapse to process tactile information.As a result,the integrated tactile perception system realizes the perception,storage,and processing of pressure information,demonstrating the possibility to simulate the biological tactile perception nervous system.This type of system may promote potential applications in artificial intelligence,such as autonomous driving,wearable,flexible electronic devices,and bionic robots.展开更多
Intelligent perception,as a cutting-edge field of modern science and technology,is profoundly changing our understanding and interaction with the world.With the rapid development of artificial intelligence,the Interne...Intelligent perception,as a cutting-edge field of modern science and technology,is profoundly changing our understanding and interaction with the world.With the rapid development of artificial intelligence,the Internet of things,big data,and other technologies,intelligent perception systems have shown great potential in non-destructive testing,safety monitoring,human-computer interaction,and precision measurement.Traditional sensing technologies face many challenges in complex scenarios or specific needs,while intelligent perception provides a new path for innovation and breakthroughs in instrumentation and sensing technologies through multidisciplinary integration.展开更多
Objectives Diabetes remains a major global health challenge in China.Artificial intelligence(AI)has demonstrated considerable potential in improving diabetes management.This study aimed to assess healthcare providers...Objectives Diabetes remains a major global health challenge in China.Artificial intelligence(AI)has demonstrated considerable potential in improving diabetes management.This study aimed to assess healthcare providers’perceptions regarding AI in diabetes care across China.Methods A cross-sectional survey was conducted using snowball sampling from November 12 to November 24,2024.We selected 514 physicians and nurses by a snowball sampling method from healthcare providers across 30 cities or provinces in China.The self-developed questionnaire comprised five sections with 19 questions assessing medical workers’demographic characteristics,AI-related experience and interest,awareness,attitudes,and concerns regarding AI in diabetes care.Statistical analysis was performed using t-test,analysis of variance(ANOVA),and linear regression.Results Among them,20.0%and 48.1%of respondents had participated in AI-related research and training,while 85.4%expressed moderate to high interest in AI training for diabetes care.Most respondents reported partial awareness of AI in diabetes care,and only 12.6%exhibited a comprehensive or substantial understanding.Attitudes toward AI in diabetes care were generally positive,with a mean score of 24.50±3.38.Nurses demonstrated significantly higher scores than physicians(P<0.05).Greater awareness,prior AI training experience,and higher interest in AI training in diabetes care were strongly associated with more positive attitudes(P<0.05).Key concerns regarding AI included trust issues from AI-clinician inconsistencies(77.2%),increased workload and clinical workflow disruptions(63.4%),and incomplete legal and regulatory frameworks(60.3%).Only 34.2%of respondents expressed concerns about job displacement,indicating general confidence in their professional roles.Conclusions While Chinese healthcare providers show moderate awareness of AI in diabetes care,their attitudes are generally positive,and they are considerably interested in future training.Tailored,role-specific AI training is essential for equitable and effective integration into clinical practice.Additionally,transparent,reliable,ethical AI models must be prioritized to alleviate practitioners’concerns.展开更多
This article examines the complex relationship between disease perception,negative emotions,and their impact on postoperative recovery in patients with perianal diseases.These conditions not only cause physical discom...This article examines the complex relationship between disease perception,negative emotions,and their impact on postoperative recovery in patients with perianal diseases.These conditions not only cause physical discomfort,but also carry a significant emotional burden,often exacerbated by social stigma.Psycho-logical factors,including stress,anxiety,and depression,activate neuroendocrine pathways,such as the hypothalamic–pituitary–adrenal axis,disrupting the gut microbiota and leading to dysbiosis.This disruption can delay wound healing,prolong hospital stay,and intensify pain.Drawing on the findings of Hou et al,our article highlights the critical role of illness perception and negative emotions in shaping recovery outcomes.It advocates for a holistic approach that integrates psychological support and gut microbiota modulation,to enhance healing and improve overall patient outcomes.展开更多
The subcortical visual pathway is generally thought to be involved in dangerous information processing,such as fear processing and defensive behavior.A recent study,published in Human Brain Mapping,shows a new functio...The subcortical visual pathway is generally thought to be involved in dangerous information processing,such as fear processing and defensive behavior.A recent study,published in Human Brain Mapping,shows a new function of the subcortical pathway involved in the fast processing of non-emotional object perception.Rapid object processing is a critical function of visual system.Topological perception theory proposes that the initial perception of objects begins with the extraction of topological property(TP).However,the mechanism of rapid TP processing remains unclear.The researchers investigated the subcortical mechanism of TP processing with transcranial magnetic stimulation(TMS).They find that a subcortical magnocellular pathway is responsible for the early processing of TP,and this subcortical processing of TP accelerates object recognition.Based on their findings,we propose a novel training approach called subcortical magnocellular pathway training(SMPT),aimed at improving the efficiency of the subcortical M pathway to restore visual and attentional functions in disorders associated with subcortical pathway dysfunction.展开更多
Background: Sickle cell anemia(SCA), a genetic hemoglobin disorder, suggests essential inner ear compromise and poor auditory processing. In humans, auditory processing differs physiologically between males and female...Background: Sickle cell anemia(SCA), a genetic hemoglobin disorder, suggests essential inner ear compromise and poor auditory processing. In humans, auditory processing differs physiologically between males and females, possibly true for SCA due to gender-specific disease pathophysiological changes. Objective: To investigate gender differences in psychoacoustical abilities, and speech perception in noise in SCA individuals and further compare with normal healthy(NH) population. Methods: 80 SCA and 80 NH normal-hearing participants aged 15-40 years were included and further grouped based on gender. Auditory discrimination for frequency, intensity, and duration at 500Hz and 4000Hz;temporal processing(Gap detection threshold & Modulation Detection Threshold) and Speech Perception In Noise(SPIN) at 0d BSNR tests were evaluated and compared between males and females of SCA and NH population. Results: SCA performed poorer compared to NH for all experimental measures. In the NH population, males performed poorer than females in psychoacoustical measures whereas within the SCA population, the reverse was true. Female participants performed better in the SPIN test in both populations. Conclusions: The adverse impact of SCA on the auditory system due to circulatory changes might cause poorer performance in SCA. Poorer performance by Female SCA is possibly due to the contrary impact of lower Hb level overlying Sickle disease.Estrogen levels and gender preference in auditory processing might lead to better performance by females within the NH population. SPIN performance depends on different attentional demands and sensorimotor processing strategies in noise beyond psychoacoustical processing may lead to better female performance in both populations.展开更多
SARS-CoV-2,particularly the Omicron variant,often leads to flavor perception dysfunction in infected individuals,making a comprehensive understanding of its duration and recovery patterns a critical part of disease ma...SARS-CoV-2,particularly the Omicron variant,often leads to flavor perception dysfunction in infected individuals,making a comprehensive understanding of its duration and recovery patterns a critical part of disease management.This study surveyed a cohort of 199 mildly-to-moderately affected SARS-CoV-2 Omicron-infected patients,focusing on the alterations in their olfaction,taste,and chemesthesis perception.Further,a subset of 36 participants(18 healthy and 18 infected)underwent sensory evaluations to check the variation of umami taste sensitivity.The results demonstrated that most of the infected cohort experienced chemosensory disorders,with the recovery period varying between one week and over a month.Intriguingly,the severity of flavor perception changes during infection significantly correlated with the length of the recovery period.Furthermore,this study explored the specific manifestations of flavor perception dysfunction,potential contributing factors,and potential mechanistic explanations for chemosensory disorders.These include local damage,inflammatory responses,and virus-induced neural damage.However,this study revealed no significant change(P>0.05)in umami taste sensitivity among infected patients 55 days post-infection.While this research faces limitations related to its self-reported,cross-sectional design,and regional focus,it offers valuable insights into the multifaceted impact of COVID-19,particularly the Omicron variant,on chemosensory perception.展开更多
While people met in order to socialize on public spaces in the past, these areas are perceived as a ‘alone in the crowds’ by people who are in the loneliness of modern era, as well as these areas still serve as a so...While people met in order to socialize on public spaces in the past, these areas are perceived as a ‘alone in the crowds’ by people who are in the loneliness of modern era, as well as these areas still serve as a social area. Individuals from all of society, especially minority groups, feel that they are accepted and they show themselves in a way in the public space. Even though the perception and usage of public space have changed in time, people still feel free themselves in these areas. However, ‘terrorism’, which is a reality in today's world, is one of the cases which pose danger to the public spaces. Thus, the image of these areas has changed from “the areas where individuals they feel freer” to “the areas where people are vulnerable to many potential attacks”. This study tells you how the public perception has changed over time and examine the intended use of the public due to these changes. Terrorist activities increased all of the World and public spaces of the individual in the face of this reality, perception and Jane Jacobs, urban life and public relations with the charm of the terrorist phenomenon is one of the main problems the 21st century in the context of views on security are discussed. Also in this report, in order to provide a team recommendation for safe public space taking into account the author's views on security was available. For this purpose, the metropolis of Istanbul is selected as the study area were interviewed and the people living in Istanbul with internet environment. At the end of the 90s until today has changed the perception of how the public and in the public domain when individuals are discussed how they use.展开更多
The aim of this study is to determine the level to which the public is aware about ITS(intelligent transportation systems)technologies and how they perceive the potential advantages and inhibitors of ITS in Michigan.A...The aim of this study is to determine the level to which the public is aware about ITS(intelligent transportation systems)technologies and how they perceive the potential advantages and inhibitors of ITS in Michigan.A survey was performed with 200 participants living in Michigan,in urban,suburban and rural areas.Questions covered in the survey included how often and how bad traffic congestion occurred,how familiar travelers were with ITS technologies(adaptive traffic signals,real time monitoring of the traffic)and how much support travelers would provide for ITS initiatives.Results reveal that there is a high degree of traffic congestion awareness,there is low public awareness of ITS technologies.While respondents who were aware of ITS solutions had positive views about deploying them,especially in urban areas,they were less supportive of ITS solutions than they were among those who did not know much about these.Factors including area of residence,commute time and age were perceived to influence ITS along with more positive attitudes to ITS amongst urban dwellers and younger respondents.Analysis of key barriers to ITS implementation reflected high initial costs,challenges with technical integration and users’concerns surrounding privacy.展开更多
Objectives:This study aimed to explore the perceptions and recommendations of multiparas and health-related professionals regarding appropriate birth intervals(Bis)and key determinants.Methods:In-depth semi-structured...Objectives:This study aimed to explore the perceptions and recommendations of multiparas and health-related professionals regarding appropriate birth intervals(Bis)and key determinants.Methods:In-depth semi-structured interviews were conducted between April 1 and June 30,2022.Nine multiparas and thirteen health-related professionals were purposefully sampled until data saturation was reached.A thematic analysis approach was applied to the interview transcripts,utilizing dual independent coding and consensus validation in NVivo 12.0.Results:The data generated two overarching categories:1)balanced decision-making on the appropriate birth intervals and 2)internal and external determinants integrated with health and societal considerations.Four key themes emerged following the two categories:1)consistency and discrepancy between the actual and recommended birth intervals of multiparas;2)health-and developmentoriented professional recommendations;3)internal determinants related to individual-level factors;and 4)external determinants related to child-related factors,family support,and social security.Weighing women's reproductive health and career development,multiparas and health-related professionals perceived a length between 18 and 36 months as the appropriate Bl.Conclusion:Multiparas and health-related professionals shaped their balanced recommendations on a relatively appropriate birth interval ranging from 18 to 36 months,which was influenced by women's individual-level factors,child-related factors,family support,and social security.Targeted social and healthcare services should be offered to women and their families during the Bls.展开更多
This study explores the environmental sensitivity of first-year teacher education stu dents,focusing on the relationship between their Earth Science performance,demographic factors,and their cognitive and emotional re...This study explores the environmental sensitivity of first-year teacher education stu dents,focusing on the relationship between their Earth Science performance,demographic factors,and their cognitive and emotional responses to environmental challenges.Using a descriptive correlational design within a mixed-methods framework,the research incorporates tools such as the Environmental Sensitivity Test(EST),focus group discussions(FGDs),and eco-mapping to comprehensively collect and analyze data.The findings reveal that while students exhibit a general awareness of environmental issues,this awareness does not consistently translate into sustainable practices,particularly in areas such as water conservation and waste management.A weak and statistically insignificant correlation was identified between Earth Science performance and environmental sensitivity,indicating that academic achievement in the subject does not necessarily lead to environmentally responsible behaviors.The results underscore the importance of teacher education programs integrating principles of behavioral psychology,experiential learning,and focused environmental education.Specifically,secondary science teachers should be equipped with practical strategies,such as implementing project-based learning,organizing community-centered environmental initiatives,and fostering interdisciplinary approaches to sustainability.These interventions address the gap in preparing future educators to effectively advocate for and implement sustainable practices.Strengthening teacher preparation programs with these components ensures that science educators are better equipped to cultivate a new generation of environmentally responsible citizens.展开更多
By comparing price plans offered by several retail energy firms,end users with smart meters and controllers may optimize their energy use cost portfolios,due to the growth of deregulated retail power markets.To help s...By comparing price plans offered by several retail energy firms,end users with smart meters and controllers may optimize their energy use cost portfolios,due to the growth of deregulated retail power markets.To help smart grid end-users decrease power payment and usage unhappiness,this article suggests a decision system based on reinforcement learning to aid with electricity price plan selection.An enhanced state-based Markov decision process(MDP)without transition probabilities simulates the decision issue.A Kernel approximate-integrated batch Q-learning approach is used to tackle the given issue.Several adjustments to the sampling and data representation are made to increase the computational and prediction performance.Using a continuous high-dimensional state space,the suggested approach can uncover the underlying characteristics of time-varying pricing schemes.Without knowing anything regarding the market environment in advance,the best decision-making policy may be learned via case studies that use data from actual historical price plans.Experiments show that the suggested decision approach may reduce cost and energy usage dissatisfaction by using user data to build an accurate prediction strategy.In this research,we look at how smart city energy planners rely on precise load forecasts.It presents a hybrid method that extracts associated characteristics to improve accuracy in residential power consumption forecasts using machine learning(ML).It is possible to measure the precision of forecasts with the use of loss functions with the RMSE.This research presents a methodology for estimating smart home energy usage in response to the growing interest in explainable artificial intelligence(XAI).Using Shapley Additive explanations(SHAP)approaches,this strategy makes it easy for consumers to comprehend their energy use trends.To predict future energy use,the study employs gradient boosting in conjunction with long short-term memory neural networks.展开更多
Spatial computing and augmented reality are advancing rapidly,with the goal of seamlessly blending virtual and physical worlds.However,traditional depth-sensing systems are bulky and energy-intensive,limiting their us...Spatial computing and augmented reality are advancing rapidly,with the goal of seamlessly blending virtual and physical worlds.However,traditional depth-sensing systems are bulky and energy-intensive,limiting their use in wearable devices.To overcome this,recent research by X.Liu et al.presents a compact binocular metalens-based depth perception system that integrates efficient edge detection through an advanced neural network.This system enables accurate,realtime depth mapping even in complex environments,enhancing potential applications in augmented reality,robotics,and autonomous systems.展开更多
基金the financial support from the National Key R&D Program of China(Grant No.2018YFA0703200)the National Natural Science Foundation of China(Grant Nos.91833304,91833306,21922511,61890940,21633012,and 51873216)+2 种基金the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB30000000)the CAS Key Research Program of Frontier Sciences(Grant No.QYZDYSSW-SLH029)the CASC roucher Funding Scheme for Joint Laboratories。
文摘The traditional Von Neumann architecture for processing information is difficult to meet the needs of the big data era, while low-power, small-sized neurosynaptic devices can operate and store information, so that they have received extensive attention. Due to the development of artificial intelligence and robotics, neurosynaptic devices have been given high expectations and requirements. The trend of functionalization, intelligence, and integration of computing and storage is obvious. In this review, the basic principles and types of neurosynaptic devices are summarized, the achievements of neurosynaptic devices for human perception systems are discussed and a prospect on the development trend is also given.
基金supported by the National Natural Science Foundation of China(61673381)the National Key R&D Program of China(2018AAA0103103)the Science and Technology Development Fund(0024/2018/A1)。
文摘An obstacle perception system for intelligent vehicle is proposed.The proposed system combines the stereo version technique and the deep learning network model,and is applied to obstacle perception tasks in complex environment.In this paper,we provide a complete system design project,which includes the hardware parameters,software framework,algorithm principle,and optimization method.In addition,special experiments are designed to demonstrate that the performance of the proposed system meets the requirements of actual application.The experiment results show that the proposed system is valid to both standard obstacles and non-standard obstacles,and suitable for different weather and lighting conditions in complex environment.It announces that the proposed system is flexible and robust to the intelligent vehicle.
基金supported by the National Science Fund for Distinguished Young Scholars(52025022)the funding from Jilin Province(20240210001GX)+1 种基金the Scientific Research Innovation Capability Support Project for Young Faculty(ZYGXQNJSKYCXNLZCXM-I10)the National Natural Science Foundation of China(U23A20568,51732003,52472149,52072065,and 52372137).
文摘Artificial tactile perception system,as an emerging sensor technology,is expected to provide human-like touch sensing ability for robots,prosthetics,and smart wearable equipment.The introduction of neuromorphic devices could observably increase efficiency and reduce circuit complexity during signal conversion and pulse encoding operations.Herein,we demonstrate a two-dimensional tellurene(Te)based threshold switching(TS)memristive device with low high resistance state variation,which is successfully applied for constructing an artificial nociceptive and emulating a leaky integrate-and-fire(LIF)neuron.Furthermore,a self-powered artificial tactile perception system is constructed by combining this LIF neuron and piezoelectric nanogenerator device,demonstrating a self-protection function under mechanical stimulation,i.e.,hand retraction reflex.The bioinspired artificial tactile perception system indicates the potential of developing next-generation bio-inspired electronics and human-machine interaction systems.
基金Funding information National Key R&D Plan“Nano Frontier”Key Special Project,Grant/Award Number:2021YFA1200502Cultivation Projects of National Major R&D Project,Grant/Award Number:92164109+15 种基金National Natural Science Foundation of China,Grant/Award Numbers:61874158,62004056,62104058Special Project of Strategic Leading Science and Technology of Chinese Academy of Sciences,Grant/Award Number:XDB44000000-7Key Projects Supported by the Regional Innovation and Development Joint Fund,Grant/Award Number:U23A20365Hebei Province High-Level Talent Funding Project,Grant/Award Number:B20231003Yanzhao Young Scientist Project of Hebei Province,Grant/Award Number:F2023201076Key R&D Plan Projects in Hebei Province,Grant/Award Number:22311101DHebei Basic Research Special Key Project,Grant/Award Number:F2021201045Support Program for the Top Young Talents of Hebei Province,Grant/Award Number:70280011807Supporting Plan for 100 Excellent Innovative Talents in Colleges and Universities of Hebei Province,Grant/Award Number:SLRC2019018Natural Science Foundation of Hebei Province,Grant/Award Numbers:F2022201054,F2021201022,F2022201002,F2021201045Interdisciplinary Research Program of Natural Science of Hebei University,Grant/Award Number:DXK202101Institute of Life Sciences and Green Development,Grant/Award Number:521100311Outstanding Young Scientific Research and Innovation Team of Hebei University,Grant/Award Number:605020521001Special Support Funds for National High Level Talents,Grant/Award Number:041500120001Advanced Talents Incubation Program of the Hebei University,Grant/Award Numbers:521000981426,521100221071,521000981363,521100224232Science and Technology Project of Hebei Education Department,Grant/Award Numbers:QN2020178,QN2021026。
文摘Biologically inspired neuromorphic perceptual systems have great potential for efficient processing of multisensory signals from the physical world.Recently,artificial neurons constructed by memristor have been developed with good biological plausibility and density,but the filament-type memristor is limited by undesirable temporal and spatial variations,high electroforming voltage and limited reproducibility and the Mott insulator type memristor suffer from large driving current.Here,we propose a novel antiferroelectric artificial neu-ron(AFEAN)based on the intrinsic polarization and depolarization of AgNbO_(3)(ANO)antiferroelectric(AFE)films to address these challenges.The antiferroelectric memristor exhibits low power consumption(8.99 nW),excel-lent durability(-10^(5))and high stability.Using such an AFEAN,a spike-based antiferroelectric neuromorphic perception system(AFENPS)has been designed,which can encode light level and temperature signals into spikes,and further construct a spiking neural network(SNN)(784×196×10)for optical image classification and thermal imaging classification,achieving 95.34%and 95.76%recognition accuracy on the MNIST dataset,respectively.This work paves the way for the simulation of spiking neurons using antiferro-electric materials and promising a promising method for the development of highly efficient hardware for neuromorphic perception systems.
基金financially supported by ChinaNational Funds for Distinguished Young Scientists(No.52125403)National Natural Science Foundation of China(Nos.52261135540 and 52404303)Science and Tech-nology Plan Special Fund Project of Jiangsu Province,China(No.BZ2024046)。
文摘Flip-flow screens offer unique advantages in grading fine-grained materials.To address inaccuracies caused by sensor vibra-tions in traditional contact measurement methods,we constructed a non-invasive measurement system based on electrical and optical sig-nals.A trajectory tracking algorithm for the screen-body was developed to visually measure the kinematics.Employing the principle oflaser reflection for distance measurement,optical techniques were performed to capture the kinematic information of the screen-plate.Ad-ditionally,by using Wi-Fi and Bluetooth transmission of electrical signals,tracer particle tracking technology was implemented to elec-trically measure the kinematic information of mineral particles.Consequently,intelligent fusion and perception of the kinematic informa-tion for the screen-body,screen-plate,and particles in the screening system have been achieved.
基金“Chongqing Graduate Student Scientific Research Innovation Project”(YKJCX2420813)。
文摘This study focuses on the ecosystem cultural service quality of Qu County Congren Valley Forest Park from the perspective of tourist perception.Using the Importance-Performance Analysis(IPA)questionnaire survey method and SPSS data analysis techniques,we systematically evaluate tourists’cognitive differences and improvement paths regarding the cultural service value of the scenic area.Based on the nonmaterial characteristics of ecosystem cultural services,combined with the unique Congren culture and natural landscape resources of Congren Valley,we designed a five-dimensional scale including natural landscape and ecological protection,cultural display and interpretation services,cultural activity participation and experience,infrastructure and supporting services,and safety management.This covers tourists’evaluations of the importance of elements such as cultural displays,interpretation systems,interactive activities,and facility support,as well as their actual satisfaction feedback.Through descriptive statistical analysis,reliability and validity testing,factor analysis,and IPA matrix analysis,we reveal the core contradictions and improvement directions perceived by tourists.The study found that the convenience of facilities such as signage,rest areas,toilets,roads,and the cleanliness of the scenic area are key areas for improvement.Additionally,different age groups perceive differences in the cultural service quality of the Congren Valley Forest Park ecosystem.The study concludes that tourists have a high level of concern for the convenience of scenic infrastructure and sanitary environment.Improving these facilities can help increase tourist satisfaction and the overall service quality of the scenic area.Simultaneously,meeting the needs of segmented markets and constructing a three-in-one service system of“deep excavation of cultural symbols–digital storytelling–immersive scenes”is recommended.
基金supported by Shanghai Rising-Star Program(22QA1400400)the Basic Research Project of the Science and Technology Commission of Shanghai Municipality(21JC1400100)+1 种基金the National Natural Science Foundation of China(52173031)the Oriental Talent Plan(Leading Talent Program,152)。
文摘Constructing an artificial intelligence interactive system is still challenging due to the lack of an integrated artificial sensing and processing system with high performance.In this work,an artificial tactile perception system with integrated sensing,storage,and computing functions is designed based on silk fibroin composite memristors and piezoresistive pressure sensors.The sensors based on polydimethylsiloxane/silver nanowires can sense the external pressure stimulation with fast response speed.In addition,the composite memristor based on silk fibroin possesses good cyclic stability and synaptic plasticity simulation and acts as an artificial synapse to process tactile information.As a result,the integrated tactile perception system realizes the perception,storage,and processing of pressure information,demonstrating the possibility to simulate the biological tactile perception nervous system.This type of system may promote potential applications in artificial intelligence,such as autonomous driving,wearable,flexible electronic devices,and bionic robots.
文摘Intelligent perception,as a cutting-edge field of modern science and technology,is profoundly changing our understanding and interaction with the world.With the rapid development of artificial intelligence,the Internet of things,big data,and other technologies,intelligent perception systems have shown great potential in non-destructive testing,safety monitoring,human-computer interaction,and precision measurement.Traditional sensing technologies face many challenges in complex scenarios or specific needs,while intelligent perception provides a new path for innovation and breakthroughs in instrumentation and sensing technologies through multidisciplinary integration.
基金supported by the Jiangsu Provincial Department of Science and Technology Social Development Project(No.BE2020787)。
文摘Objectives Diabetes remains a major global health challenge in China.Artificial intelligence(AI)has demonstrated considerable potential in improving diabetes management.This study aimed to assess healthcare providers’perceptions regarding AI in diabetes care across China.Methods A cross-sectional survey was conducted using snowball sampling from November 12 to November 24,2024.We selected 514 physicians and nurses by a snowball sampling method from healthcare providers across 30 cities or provinces in China.The self-developed questionnaire comprised five sections with 19 questions assessing medical workers’demographic characteristics,AI-related experience and interest,awareness,attitudes,and concerns regarding AI in diabetes care.Statistical analysis was performed using t-test,analysis of variance(ANOVA),and linear regression.Results Among them,20.0%and 48.1%of respondents had participated in AI-related research and training,while 85.4%expressed moderate to high interest in AI training for diabetes care.Most respondents reported partial awareness of AI in diabetes care,and only 12.6%exhibited a comprehensive or substantial understanding.Attitudes toward AI in diabetes care were generally positive,with a mean score of 24.50±3.38.Nurses demonstrated significantly higher scores than physicians(P<0.05).Greater awareness,prior AI training experience,and higher interest in AI training in diabetes care were strongly associated with more positive attitudes(P<0.05).Key concerns regarding AI included trust issues from AI-clinician inconsistencies(77.2%),increased workload and clinical workflow disruptions(63.4%),and incomplete legal and regulatory frameworks(60.3%).Only 34.2%of respondents expressed concerns about job displacement,indicating general confidence in their professional roles.Conclusions While Chinese healthcare providers show moderate awareness of AI in diabetes care,their attitudes are generally positive,and they are considerably interested in future training.Tailored,role-specific AI training is essential for equitable and effective integration into clinical practice.Additionally,transparent,reliable,ethical AI models must be prioritized to alleviate practitioners’concerns.
文摘This article examines the complex relationship between disease perception,negative emotions,and their impact on postoperative recovery in patients with perianal diseases.These conditions not only cause physical discomfort,but also carry a significant emotional burden,often exacerbated by social stigma.Psycho-logical factors,including stress,anxiety,and depression,activate neuroendocrine pathways,such as the hypothalamic–pituitary–adrenal axis,disrupting the gut microbiota and leading to dysbiosis.This disruption can delay wound healing,prolong hospital stay,and intensify pain.Drawing on the findings of Hou et al,our article highlights the critical role of illness perception and negative emotions in shaping recovery outcomes.It advocates for a holistic approach that integrates psychological support and gut microbiota modulation,to enhance healing and improve overall patient outcomes.
文摘The subcortical visual pathway is generally thought to be involved in dangerous information processing,such as fear processing and defensive behavior.A recent study,published in Human Brain Mapping,shows a new function of the subcortical pathway involved in the fast processing of non-emotional object perception.Rapid object processing is a critical function of visual system.Topological perception theory proposes that the initial perception of objects begins with the extraction of topological property(TP).However,the mechanism of rapid TP processing remains unclear.The researchers investigated the subcortical mechanism of TP processing with transcranial magnetic stimulation(TMS).They find that a subcortical magnocellular pathway is responsible for the early processing of TP,and this subcortical processing of TP accelerates object recognition.Based on their findings,we propose a novel training approach called subcortical magnocellular pathway training(SMPT),aimed at improving the efficiency of the subcortical M pathway to restore visual and attentional functions in disorders associated with subcortical pathway dysfunction.
文摘Background: Sickle cell anemia(SCA), a genetic hemoglobin disorder, suggests essential inner ear compromise and poor auditory processing. In humans, auditory processing differs physiologically between males and females, possibly true for SCA due to gender-specific disease pathophysiological changes. Objective: To investigate gender differences in psychoacoustical abilities, and speech perception in noise in SCA individuals and further compare with normal healthy(NH) population. Methods: 80 SCA and 80 NH normal-hearing participants aged 15-40 years were included and further grouped based on gender. Auditory discrimination for frequency, intensity, and duration at 500Hz and 4000Hz;temporal processing(Gap detection threshold & Modulation Detection Threshold) and Speech Perception In Noise(SPIN) at 0d BSNR tests were evaluated and compared between males and females of SCA and NH population. Results: SCA performed poorer compared to NH for all experimental measures. In the NH population, males performed poorer than females in psychoacoustical measures whereas within the SCA population, the reverse was true. Female participants performed better in the SPIN test in both populations. Conclusions: The adverse impact of SCA on the auditory system due to circulatory changes might cause poorer performance in SCA. Poorer performance by Female SCA is possibly due to the contrary impact of lower Hb level overlying Sickle disease.Estrogen levels and gender preference in auditory processing might lead to better performance by females within the NH population. SPIN performance depends on different attentional demands and sensorimotor processing strategies in noise beyond psychoacoustical processing may lead to better female performance in both populations.
基金supported by the National Natural Science Foundation of China(32001824,31901813,32001827)。
文摘SARS-CoV-2,particularly the Omicron variant,often leads to flavor perception dysfunction in infected individuals,making a comprehensive understanding of its duration and recovery patterns a critical part of disease management.This study surveyed a cohort of 199 mildly-to-moderately affected SARS-CoV-2 Omicron-infected patients,focusing on the alterations in their olfaction,taste,and chemesthesis perception.Further,a subset of 36 participants(18 healthy and 18 infected)underwent sensory evaluations to check the variation of umami taste sensitivity.The results demonstrated that most of the infected cohort experienced chemosensory disorders,with the recovery period varying between one week and over a month.Intriguingly,the severity of flavor perception changes during infection significantly correlated with the length of the recovery period.Furthermore,this study explored the specific manifestations of flavor perception dysfunction,potential contributing factors,and potential mechanistic explanations for chemosensory disorders.These include local damage,inflammatory responses,and virus-induced neural damage.However,this study revealed no significant change(P>0.05)in umami taste sensitivity among infected patients 55 days post-infection.While this research faces limitations related to its self-reported,cross-sectional design,and regional focus,it offers valuable insights into the multifaceted impact of COVID-19,particularly the Omicron variant,on chemosensory perception.
文摘While people met in order to socialize on public spaces in the past, these areas are perceived as a ‘alone in the crowds’ by people who are in the loneliness of modern era, as well as these areas still serve as a social area. Individuals from all of society, especially minority groups, feel that they are accepted and they show themselves in a way in the public space. Even though the perception and usage of public space have changed in time, people still feel free themselves in these areas. However, ‘terrorism’, which is a reality in today's world, is one of the cases which pose danger to the public spaces. Thus, the image of these areas has changed from “the areas where individuals they feel freer” to “the areas where people are vulnerable to many potential attacks”. This study tells you how the public perception has changed over time and examine the intended use of the public due to these changes. Terrorist activities increased all of the World and public spaces of the individual in the face of this reality, perception and Jane Jacobs, urban life and public relations with the charm of the terrorist phenomenon is one of the main problems the 21st century in the context of views on security are discussed. Also in this report, in order to provide a team recommendation for safe public space taking into account the author's views on security was available. For this purpose, the metropolis of Istanbul is selected as the study area were interviewed and the people living in Istanbul with internet environment. At the end of the 90s until today has changed the perception of how the public and in the public domain when individuals are discussed how they use.
文摘The aim of this study is to determine the level to which the public is aware about ITS(intelligent transportation systems)technologies and how they perceive the potential advantages and inhibitors of ITS in Michigan.A survey was performed with 200 participants living in Michigan,in urban,suburban and rural areas.Questions covered in the survey included how often and how bad traffic congestion occurred,how familiar travelers were with ITS technologies(adaptive traffic signals,real time monitoring of the traffic)and how much support travelers would provide for ITS initiatives.Results reveal that there is a high degree of traffic congestion awareness,there is low public awareness of ITS technologies.While respondents who were aware of ITS solutions had positive views about deploying them,especially in urban areas,they were less supportive of ITS solutions than they were among those who did not know much about these.Factors including area of residence,commute time and age were perceived to influence ITS along with more positive attitudes to ITS amongst urban dwellers and younger respondents.Analysis of key barriers to ITS implementation reflected high initial costs,challenges with technical integration and users’concerns surrounding privacy.
基金supported by the Key Discipline Program of the Fifth Round of the Three-Year Public Health Action Plan(2020-2022 Year)of Shanghai,China(GWV-10.1-XK08).
文摘Objectives:This study aimed to explore the perceptions and recommendations of multiparas and health-related professionals regarding appropriate birth intervals(Bis)and key determinants.Methods:In-depth semi-structured interviews were conducted between April 1 and June 30,2022.Nine multiparas and thirteen health-related professionals were purposefully sampled until data saturation was reached.A thematic analysis approach was applied to the interview transcripts,utilizing dual independent coding and consensus validation in NVivo 12.0.Results:The data generated two overarching categories:1)balanced decision-making on the appropriate birth intervals and 2)internal and external determinants integrated with health and societal considerations.Four key themes emerged following the two categories:1)consistency and discrepancy between the actual and recommended birth intervals of multiparas;2)health-and developmentoriented professional recommendations;3)internal determinants related to individual-level factors;and 4)external determinants related to child-related factors,family support,and social security.Weighing women's reproductive health and career development,multiparas and health-related professionals perceived a length between 18 and 36 months as the appropriate Bl.Conclusion:Multiparas and health-related professionals shaped their balanced recommendations on a relatively appropriate birth interval ranging from 18 to 36 months,which was influenced by women's individual-level factors,child-related factors,family support,and social security.Targeted social and healthcare services should be offered to women and their families during the Bls.
文摘This study explores the environmental sensitivity of first-year teacher education stu dents,focusing on the relationship between their Earth Science performance,demographic factors,and their cognitive and emotional responses to environmental challenges.Using a descriptive correlational design within a mixed-methods framework,the research incorporates tools such as the Environmental Sensitivity Test(EST),focus group discussions(FGDs),and eco-mapping to comprehensively collect and analyze data.The findings reveal that while students exhibit a general awareness of environmental issues,this awareness does not consistently translate into sustainable practices,particularly in areas such as water conservation and waste management.A weak and statistically insignificant correlation was identified between Earth Science performance and environmental sensitivity,indicating that academic achievement in the subject does not necessarily lead to environmentally responsible behaviors.The results underscore the importance of teacher education programs integrating principles of behavioral psychology,experiential learning,and focused environmental education.Specifically,secondary science teachers should be equipped with practical strategies,such as implementing project-based learning,organizing community-centered environmental initiatives,and fostering interdisciplinary approaches to sustainability.These interventions address the gap in preparing future educators to effectively advocate for and implement sustainable practices.Strengthening teacher preparation programs with these components ensures that science educators are better equipped to cultivate a new generation of environmentally responsible citizens.
文摘By comparing price plans offered by several retail energy firms,end users with smart meters and controllers may optimize their energy use cost portfolios,due to the growth of deregulated retail power markets.To help smart grid end-users decrease power payment and usage unhappiness,this article suggests a decision system based on reinforcement learning to aid with electricity price plan selection.An enhanced state-based Markov decision process(MDP)without transition probabilities simulates the decision issue.A Kernel approximate-integrated batch Q-learning approach is used to tackle the given issue.Several adjustments to the sampling and data representation are made to increase the computational and prediction performance.Using a continuous high-dimensional state space,the suggested approach can uncover the underlying characteristics of time-varying pricing schemes.Without knowing anything regarding the market environment in advance,the best decision-making policy may be learned via case studies that use data from actual historical price plans.Experiments show that the suggested decision approach may reduce cost and energy usage dissatisfaction by using user data to build an accurate prediction strategy.In this research,we look at how smart city energy planners rely on precise load forecasts.It presents a hybrid method that extracts associated characteristics to improve accuracy in residential power consumption forecasts using machine learning(ML).It is possible to measure the precision of forecasts with the use of loss functions with the RMSE.This research presents a methodology for estimating smart home energy usage in response to the growing interest in explainable artificial intelligence(XAI).Using Shapley Additive explanations(SHAP)approaches,this strategy makes it easy for consumers to comprehend their energy use trends.To predict future energy use,the study employs gradient boosting in conjunction with long short-term memory neural networks.
基金financially supported by the POSCO-POSTECH-RIST Convergence Research Center program funded by POSCOthe National Research Foundation (NRF) grants (RS-2024-00462912, RS-2024-00416272, RS-2024-00337012, RS-2024-00408446) funded by the Ministry of Science and ICT (MSIT) of the Korean government+2 种基金the Korea Evaluation Institute of Industrial Technology (KEIT) grant (No. 1415185027/20019169, Alchemist project) funded by the Ministry of Trade, Industry and Energy (MOTIE) of the Korean governmentthe Soseon Science fellowship funded by Community Chest of Koreathe NRF PhD fellowship (RS-2023-00275565) funded by the Ministry of Education (MOE) of the Korean government。
文摘Spatial computing and augmented reality are advancing rapidly,with the goal of seamlessly blending virtual and physical worlds.However,traditional depth-sensing systems are bulky and energy-intensive,limiting their use in wearable devices.To overcome this,recent research by X.Liu et al.presents a compact binocular metalens-based depth perception system that integrates efficient edge detection through an advanced neural network.This system enables accurate,realtime depth mapping even in complex environments,enhancing potential applications in augmented reality,robotics,and autonomous systems.
