Taking Yutou Dong Minority Village in Tongdao County for example, this study carried out questionnaire survey and interview survey from the perspective of environment element perceptibility and culture psychology reco...Taking Yutou Dong Minority Village in Tongdao County for example, this study carried out questionnaire survey and interview survey from the perspective of environment element perceptibility and culture psychology recognizability, on the basis of identifying 9 landscape genes, namely drum tower, wind-rain bridge, the village gate, Sa altar, overall layout, totem signs, and environmental factors. The survey results showed that 1 Sa altar has the highest perceptibility, and drum tower has the lowest perceptibility; 2 Sa altar and drum tower have the highest recognizability, overall layout, totem signs and environment have the lowest; 3 Location has the highest perceptibility and size has the poorest; 4 Sentiment has the highest perceptibility, function the lowest; 5 Men have higher perception and sense of recognition than women; 6 Education background has greater impact on perception, but no obvious impact on sense of recognition; 7 Length of residence in the village has positive effect on perception and sense of recognition; 8 Distance from the village has positive effect on perception and sense of recognition.展开更多
Iced transmission line galloping poses a significant threat to the safety and reliability of power systems,leading directly to line tripping,disconnections,and power outages.Existing early warning methods of iced tran...Iced transmission line galloping poses a significant threat to the safety and reliability of power systems,leading directly to line tripping,disconnections,and power outages.Existing early warning methods of iced transmission line galloping suffer from issues such as reliance on a single data source,neglect of irregular time series,and lack of attention-based closed-loop feedback,resulting in high rates of missed and false alarms.To address these challenges,we propose an Internet of Things(IoT)empowered early warning method of transmission line galloping that integrates time series data from optical fiber sensing and weather forecast.Initially,the method applies a primary adaptive weighted fusion to the IoT empowered optical fiber real-time sensing data and weather forecast data,followed by a secondary fusion based on a Back Propagation(BP)neural network,and uses the K-medoids algorithm for clustering the fused data.Furthermore,an adaptive irregular time series perception adjustment module is introduced into the traditional Gated Recurrent Unit(GRU)network,and closed-loop feedback based on attentionmechanism is employed to update network parameters through gradient feedback of the loss function,enabling closed-loop training and time series data prediction of the GRU network model.Subsequently,considering various types of prediction data and the duration of icing,an iced transmission line galloping risk coefficient is established,and warnings are categorized based on this coefficient.Finally,using an IoT-driven realistic dataset of iced transmission line galloping,the effectiveness of the proposed method is validated through multi-dimensional simulation scenarios.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
In order to study the characteristics of pure fly ash-based geopolymer concrete(PFGC)conveniently,we used a machine learning method that can quantify the perception of characteristics to predict its compressive streng...In order to study the characteristics of pure fly ash-based geopolymer concrete(PFGC)conveniently,we used a machine learning method that can quantify the perception of characteristics to predict its compressive strength.In this study,505 groups of data were collected,and a new database of compressive strength of PFGC was constructed.In order to establish an accurate prediction model of compressive strength,five different types of machine learning networks were used for comparative analysis.The five machine learning models all showed good compressive strength prediction performance on PFGC.Among them,R2,MSE,RMSE and MAE of decision tree model(DT)are 0.99,1.58,1.25,and 0.25,respectively.While R2,MSE,RMSE and MAE of random forest model(RF)are 0.97,5.17,2.27 and 1.38,respectively.The two models have high prediction accuracy and outstanding generalization ability.In order to enhance the interpretability of model decision-making,we used importance ranking to obtain the perception of machine learning model to 13 variables.These 13 variables include chemical composition of fly ash(SiO_(2)/Al_(2)O_(3),Si/Al),the ratio of alkaline liquid to the binder,curing temperature,curing durations inside oven,fly ash dosage,fine aggregate dosage,coarse aggregate dosage,extra water dosage and sodium hydroxide dosage.Curing temperature,specimen ages and curing durations inside oven have the greatest influence on the prediction results,indicating that curing conditions have more prominent influence on the compressive strength of PFGC than ordinary Portland cement concrete.The importance of curing conditions of PFGC even exceeds that of the concrete mix proportion,due to the low reactivity of pure fly ash.展开更多
Tactile perception plays a vital role for the human body and is also highly desired for smart prosthesis and advanced robots.Compared to active sensing devices,passive piezoelectric and triboelectric tactile sensors c...Tactile perception plays a vital role for the human body and is also highly desired for smart prosthesis and advanced robots.Compared to active sensing devices,passive piezoelectric and triboelectric tactile sensors consume less power,but lack the capability to resolve static stimuli.Here,we address this issue by utilizing the unique polarization chemistry of conjugated polymers for the first time and propose a new type of bioinspired,passive,and bio-friendly tactile sensors for resolving both static and dynamic stimuli.Specifically,to emulate the polarization process of natural sensory cells,conjugated polymers(including poly(3,4-ethylenedioxythiophen e):poly(styrenesulfonate),polyaniline,or polypyrrole)are controllably polarized into two opposite states to create artificial potential differences.The controllable and reversible polarization process of the conjugated polymers is fully in situ characterized.Then,a micro-structured ionic electrolyte is employed to imitate the natural ion channels and to encode external touch stimulations into the variation in potential difference outputs.Compared with the currently existing tactile sensing devices,the developed tactile sensors feature distinct characteristics including fully organic composition,high sensitivity(up to 773 mV N^(−1)),ultralow power consumption(nW),as well as superior bio-friendliness.As demonstrations,both single point tactile perception(surface texture perception and material property perception)and two-dimensional tactile recognitions(shape or profile perception)with high accuracy are successfully realized using self-defined machine learning algorithms.This tactile sensing concept innovation based on the polarization chemistry of conjugated polymers opens up a new path to create robotic tactile sensors and prosthetic electronic skins.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
Objective Autism spectrum disorder(ASD)is a neurodevelopmental condition characterized by difficulties with communication and social interaction,restricted and repetitive behaviors.Previous studies have indicated that...Objective Autism spectrum disorder(ASD)is a neurodevelopmental condition characterized by difficulties with communication and social interaction,restricted and repetitive behaviors.Previous studies have indicated that individuals with ASD exhibit early and lifelong attention deficits,which are closely related to the core symptoms of ASD.Basic visual attention processes may provide a critical foundation for their social communication and interaction abilities.Therefore,this study explores the behavior of children with ASD in capturing attention to changes in topological properties.Methods Our study recruited twenty-seven ASD children diagnosed by professional clinicians according to DSM-5 and twenty-eight typically developing(TD)age-matched controls.In an attention capture task,we recorded the saccadic behaviors of children with ASD and TD in response to topological change(TC)and non-topological change(nTC)stimuli.Saccadic reaction time(SRT),visual search time(VS),and first fixation dwell time(FFDT)were used as indicators of attentional bias.Pearson correlation tests between the clinical assessment scales and attentional bias were conducted.Results This study found that TD children had significantly faster SRT(P<0.05)and VS(P<0.05)for the TC stimuli compared to the nTC stimuli,while the children with ASD did not exhibit significant differences in either measure(P>0.05).Additionally,ASD children demonstrated significantly less attention towards the TC targets(measured by FFDT),in comparison to TD children(P<0.05).Furthermore,ASD children exhibited a significant negative linear correlation between their attentional bias(measured by VS)and their scores on the compulsive subscale(P<0.05).Conclusion The results suggest that children with ASD have difficulty shifting their attention to objects with topological changes during change detection.This atypical attention may affect the child’s cognitive and behavioral development,thereby impacting their social communication and interaction.In sum,our findings indicate that difficulties in attentional capture by TC may be a key feature of ASD.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
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
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
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
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
Dysfunction of the interoceptive system is recognized as an important component of clinical symptoms,including anxiety,depression,psychosis,and other mental disorders.Non-invasive neuromodulation is an emerging clinic...Dysfunction of the interoceptive system is recognized as an important component of clinical symptoms,including anxiety,depression,psychosis,and other mental disorders.Non-invasive neuromodulation is an emerging clinical intervention approach,and over the past decade,research on non-invasive neuromodulation aimed at regulating interoception has rapidly developed.This review first outlines the pathways of interoceptive signals and assessment methods,then summarizes the interoceptive abnormalities in psychiatric disorders and current studies for non-invasive neuromodulation targeting interoception,including intervention modes,target sites,interoceptive measures,and potential neurobiological mechanisms.Finally,we discuss significant research challenges and future directions.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
With the same level of measurement accuracy,more portable and miniaturized measurement systems will have greater advantages,providing users with more flexible and convenient measurement solutions.Here,we introduce a n...With the same level of measurement accuracy,more portable and miniaturized measurement systems will have greater advantages,providing users with more flexible and convenient measurement solutions.Here,we introduce a new type of digital image correlation(DIC)system that incorporates a binocular meta-lens,featuring a simple and compact configuration.Meta-lens is one of the promising flat optical imaging devices that are ultra-thin,customizable,and well-suited for use in confined spaces.We evaluated this binocular meta-lens based DIC(BM-DIC)system through classic in-plane and out-of-plane translation tests,followed by a bending test on a helicopter wing model to capture 3D displacement and deformation fields.For in-plane translations,the system achieved high precision with a standard deviation(σ)below 2μm.Despite a small baseline of 4 mm,the system maintained aσof approximately 32μm for out-of-plane translations.Comparative analysis with conventional dual-camera stereo DIC systems showed that the BM-DIC system maintains an acceptable relative error margin of about 1%in measured strain fields despite a 75-fold reduction in baseline length.This research demonstrates the integration of DIC techniques with advanced meta-lens technology,indicating substantial potential to enhance the capabilities of DIC technology in experimental solid mechanics.展开更多
Neuromodulation techniques effectively intervene in cognitive function,holding considerable scientific and practical value in fields such as aerospace,medicine,life sciences,and brain research.These techniques utilize...Neuromodulation techniques effectively intervene in cognitive function,holding considerable scientific and practical value in fields such as aerospace,medicine,life sciences,and brain research.These techniques utilize electrical stimulation to directly or indirectly target specific brain regions,modulating neural activity and influencing broader brain networks,thereby regulating cognitive function.Regulating cognitive function involves an understanding of aspects such as perception,learning and memory,attention,spatial cognition,and physical function.To enhance the application of cognitive regulation in the general population,this paper reviews recent publications from the Web of Science to assess the advancements and challenges of invasive and non-invasive stimulation methods in modulating cognitive functions.This review covers various neuromodulation techniques for cognitive intervention,including deep brain stimulation,vagus nerve stimulation,and invasive methods using microelectrode arrays.The non-invasive techniques discussed include transcranial magnetic stimulation,transcranial direct current stimulation,transcranial alternating current stimulation,transcutaneous electrical acupoint stimulation,and time interference stimulation for activating deep targets.Invasive stimulation methods,which are ideal for studying the pathogenesis of neurological diseases,tend to cause greater trauma and have been less researched in the context of cognitive function regulation.Non-invasive methods,particularly newer transcranial stimulation techniques,are gentler and more appropriate for regulating cognitive functions in the general population.These include transcutaneous acupoint electrical stimulation using acupoints and time interference methods for activating deep targets.This paper also discusses current technical challenges and potential future breakthroughs in neuromodulation technology.It is recommended that neuromodulation techniques be combined with neural detection methods to better assess their effects and improve the accuracy of non-invasive neuromodulation.Additionally,researching closed-loop feedback neuromodulation methods is identified as a promising direction for future development.展开更多
Tourism,an essential engine for economic development,also raises issues that lean towards the economic aspect face to face with the environmental,socio-cultural,and well-being of the local community.Bodhgaya,a UNESCO ...Tourism,an essential engine for economic development,also raises issues that lean towards the economic aspect face to face with the environmental,socio-cultural,and well-being of the local community.Bodhgaya,a UNESCO World Heritage Site and one of the holiest pilgrimage sites in Buddhism,reflects the complexities of tourism-driven development.Tourism has contributed to the local economy but has also manifested social-economic inequality,stressed the facilities,and put pressure on cultural heritage and the environment.This research elaborates on the relationship between tourism and community development in Bodhgaya through economic,cultural,environmental,and social aspects.Based on the literature review and primary data analysis,the research shows how residents perceive the impacts of tourism on their rural culture,the degree of involvement of the community in tourism governance,and the difficulties of maintaining a balance between tourism growth and the preservation of the local culture.The results show that although tourism creates jobs and aids local businesses,benefits are not evenly distributed,with many residents remaining in a precarious economic state.Additionally,cultural commodification and ecological degradation are rampant,made worse by inadequate infrastructure and exclusionary planning processes.This research highlights the critical role of community involvement in designing sustainable tourism approaches and suggests practical steps to ensure fair development.The impact of social tourism participants on resident community empowerment in religious and heritage sites is a topic of broader importance for destination management,cultural heritage,and tourism development in general.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
Background:It has been reported that factors such as age and vestibular pathology (i.e. vestibular migraine) could impact self-motion perception during vestibular stimulation. However, to our knowledge, no objective t...Background:It has been reported that factors such as age and vestibular pathology (i.e. vestibular migraine) could impact self-motion perception during vestibular stimulation. However, to our knowledge, no objective test has been developed to quantify self-motion perception during clinical vestibular evaluation.ObjectiveThe main objective of the present study was to quantify vestibular perception during caloric vestibular stimulation using a tachometer.MethodsTwenty-two participants were divided into three groups: 1) younger healthy adults, 2) older healthy adults and 3) vestibular impaired adults. All participants performed bithermal water caloric irrigation during which slow-phase eye velocity (SPV) was measured using videonystagmography and self-motion velocity perception was assessed using a handheld tachometer (RPM).ResultsThe results revealed a significant difference in SPV between vestibular impaired ears and both healthy groups, and a significant difference in self-motion velocity perception between healthy young and vestibular impaired participants.ConclusionsThis study suggest that the SPV similarly to self-motion perception (RPM) can differentiate between vestibular impaired and young healthy participants. Future work is required to assess the influence of self-motion perception in aging.展开更多
Objectives Nurses’clinical research activities have contributed to optimizing the care process and improving patient outcomes,and generative artificial intelligence(GAI)may help clinical nurses strengthen their resea...Objectives Nurses’clinical research activities have contributed to optimizing the care process and improving patient outcomes,and generative artificial intelligence(GAI)may help clinical nurses strengthen their research skills.To support research,this study aimed to explore the Chinese nurses’perceptions and experiences of GAI training.Methods This study used a descriptive qualitative design.The China Nurses Network conducted a three-day training session on“GAI for Nursing Research”theme,we selected 23 nurses by a convenience sampling method among participating in the training.The researchers conducted three focus group interviews at the end of each day.All focus groups were interviewed face-to-face to facilitate interaction,data collection,and observation.The data were analyzed using conventional content analysis and coded manually.Results The results showed that nurses’use of GAI to support scientific research was dynamic and characterized by evolving perceptions and practices.Four themes and 11 sub-themes emerged from the analysis:1)utilization efficacy:cope with research ability,affected by many factors;2)booster research:growth and challenges go hand in hand;3)role reversal:from GAI-dominated to nurse-dominated;4)beautiful dream:more features on research,more assistants on clinical care.Conclusions The effectiveness of GAI in supporting clinical nurses in conducting research is mainly limited by differences in personal research literacy,lack of ethical regulation,and information accuracy.In the future,it is necessary to improve nurses’relevant skills through specialized training and promote the standardization of technical regulations to ensure the appropriate application of GAI in nursing research.展开更多
基金Sponsored by The National Natural Science Fund(41401148)Hunan Provincial Natural Science Innovation Group Fund(12JJ7003)Humanities and Social Science Fund of the Ministry of Education(11YJCZH210)
文摘Taking Yutou Dong Minority Village in Tongdao County for example, this study carried out questionnaire survey and interview survey from the perspective of environment element perceptibility and culture psychology recognizability, on the basis of identifying 9 landscape genes, namely drum tower, wind-rain bridge, the village gate, Sa altar, overall layout, totem signs, and environmental factors. The survey results showed that 1 Sa altar has the highest perceptibility, and drum tower has the lowest perceptibility; 2 Sa altar and drum tower have the highest recognizability, overall layout, totem signs and environment have the lowest; 3 Location has the highest perceptibility and size has the poorest; 4 Sentiment has the highest perceptibility, function the lowest; 5 Men have higher perception and sense of recognition than women; 6 Education background has greater impact on perception, but no obvious impact on sense of recognition; 7 Length of residence in the village has positive effect on perception and sense of recognition; 8 Distance from the village has positive effect on perception and sense of recognition.
基金research was funded by Science and Technology Project of State Grid Corporation of China under grant number 5200-202319382A-2-3-XG.
文摘Iced transmission line galloping poses a significant threat to the safety and reliability of power systems,leading directly to line tripping,disconnections,and power outages.Existing early warning methods of iced transmission line galloping suffer from issues such as reliance on a single data source,neglect of irregular time series,and lack of attention-based closed-loop feedback,resulting in high rates of missed and false alarms.To address these challenges,we propose an Internet of Things(IoT)empowered early warning method of transmission line galloping that integrates time series data from optical fiber sensing and weather forecast.Initially,the method applies a primary adaptive weighted fusion to the IoT empowered optical fiber real-time sensing data and weather forecast data,followed by a secondary fusion based on a Back Propagation(BP)neural network,and uses the K-medoids algorithm for clustering the fused data.Furthermore,an adaptive irregular time series perception adjustment module is introduced into the traditional Gated Recurrent Unit(GRU)network,and closed-loop feedback based on attentionmechanism is employed to update network parameters through gradient feedback of the loss function,enabling closed-loop training and time series data prediction of the GRU network model.Subsequently,considering various types of prediction data and the duration of icing,an iced transmission line galloping risk coefficient is established,and warnings are categorized based on this coefficient.Finally,using an IoT-driven realistic dataset of iced transmission line galloping,the effectiveness of the proposed method is validated through multi-dimensional simulation scenarios.
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.
基金Funded by the Natural Science Foundation of China(No.52109168)。
文摘In order to study the characteristics of pure fly ash-based geopolymer concrete(PFGC)conveniently,we used a machine learning method that can quantify the perception of characteristics to predict its compressive strength.In this study,505 groups of data were collected,and a new database of compressive strength of PFGC was constructed.In order to establish an accurate prediction model of compressive strength,five different types of machine learning networks were used for comparative analysis.The five machine learning models all showed good compressive strength prediction performance on PFGC.Among them,R2,MSE,RMSE and MAE of decision tree model(DT)are 0.99,1.58,1.25,and 0.25,respectively.While R2,MSE,RMSE and MAE of random forest model(RF)are 0.97,5.17,2.27 and 1.38,respectively.The two models have high prediction accuracy and outstanding generalization ability.In order to enhance the interpretability of model decision-making,we used importance ranking to obtain the perception of machine learning model to 13 variables.These 13 variables include chemical composition of fly ash(SiO_(2)/Al_(2)O_(3),Si/Al),the ratio of alkaline liquid to the binder,curing temperature,curing durations inside oven,fly ash dosage,fine aggregate dosage,coarse aggregate dosage,extra water dosage and sodium hydroxide dosage.Curing temperature,specimen ages and curing durations inside oven have the greatest influence on the prediction results,indicating that curing conditions have more prominent influence on the compressive strength of PFGC than ordinary Portland cement concrete.The importance of curing conditions of PFGC even exceeds that of the concrete mix proportion,due to the low reactivity of pure fly ash.
基金financially supported by the Sichuan Science and Technology Program(2022YFS0025 and 2024YFFK0133)supported by the“Fundamental Research Funds for the Central Universities of China.”。
文摘Tactile perception plays a vital role for the human body and is also highly desired for smart prosthesis and advanced robots.Compared to active sensing devices,passive piezoelectric and triboelectric tactile sensors consume less power,but lack the capability to resolve static stimuli.Here,we address this issue by utilizing the unique polarization chemistry of conjugated polymers for the first time and propose a new type of bioinspired,passive,and bio-friendly tactile sensors for resolving both static and dynamic stimuli.Specifically,to emulate the polarization process of natural sensory cells,conjugated polymers(including poly(3,4-ethylenedioxythiophen e):poly(styrenesulfonate),polyaniline,or polypyrrole)are controllably polarized into two opposite states to create artificial potential differences.The controllable and reversible polarization process of the conjugated polymers is fully in situ characterized.Then,a micro-structured ionic electrolyte is employed to imitate the natural ion channels and to encode external touch stimulations into the variation in potential difference outputs.Compared with the currently existing tactile sensing devices,the developed tactile sensors feature distinct characteristics including fully organic composition,high sensitivity(up to 773 mV N^(−1)),ultralow power consumption(nW),as well as superior bio-friendliness.As demonstrations,both single point tactile perception(surface texture perception and material property perception)and two-dimensional tactile recognitions(shape or profile perception)with high accuracy are successfully realized using self-defined machine learning algorithms.This tactile sensing concept innovation based on the polarization chemistry of conjugated polymers opens up a new path to create robotic tactile sensors and prosthetic electronic skins.
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Objective Autism spectrum disorder(ASD)is a neurodevelopmental condition characterized by difficulties with communication and social interaction,restricted and repetitive behaviors.Previous studies have indicated that individuals with ASD exhibit early and lifelong attention deficits,which are closely related to the core symptoms of ASD.Basic visual attention processes may provide a critical foundation for their social communication and interaction abilities.Therefore,this study explores the behavior of children with ASD in capturing attention to changes in topological properties.Methods Our study recruited twenty-seven ASD children diagnosed by professional clinicians according to DSM-5 and twenty-eight typically developing(TD)age-matched controls.In an attention capture task,we recorded the saccadic behaviors of children with ASD and TD in response to topological change(TC)and non-topological change(nTC)stimuli.Saccadic reaction time(SRT),visual search time(VS),and first fixation dwell time(FFDT)were used as indicators of attentional bias.Pearson correlation tests between the clinical assessment scales and attentional bias were conducted.Results This study found that TD children had significantly faster SRT(P<0.05)and VS(P<0.05)for the TC stimuli compared to the nTC stimuli,while the children with ASD did not exhibit significant differences in either measure(P>0.05).Additionally,ASD children demonstrated significantly less attention towards the TC targets(measured by FFDT),in comparison to TD children(P<0.05).Furthermore,ASD children exhibited a significant negative linear correlation between their attentional bias(measured by VS)and their scores on the compulsive subscale(P<0.05).Conclusion The results suggest that children with ASD have difficulty shifting their attention to objects with topological changes during change detection.This atypical attention may affect the child’s cognitive and behavioral development,thereby impacting their social communication and interaction.In sum,our findings indicate that difficulties in attentional capture by TC may be a key feature of ASD.
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.
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.
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.
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.
基金supported by grants from the National Natural Science Foundation of China(82101582)the Shanghai Science and Technology Committee(22Y11903600 and 23Y11906000)the Shanghai Municipal Health Commission(202240266).
文摘Dysfunction of the interoceptive system is recognized as an important component of clinical symptoms,including anxiety,depression,psychosis,and other mental disorders.Non-invasive neuromodulation is an emerging clinical intervention approach,and over the past decade,research on non-invasive neuromodulation aimed at regulating interoception has rapidly developed.This review first outlines the pathways of interoceptive signals and assessment methods,then summarizes the interoceptive abnormalities in psychiatric disorders and current studies for non-invasive neuromodulation targeting interoception,including intervention modes,target sites,interoceptive measures,and potential neurobiological mechanisms.Finally,we discuss significant research challenges and future directions.
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.
基金financial support from the Research Grants Council of the Hong Kong Special Administrative Region,China(Project No.C5031-22G,CityU11310522,CityU11300123)City University of Hong Kong(Project No.9610628)+5 种基金National Natural Science Foundation of China(NSFC)(12172222,12302368,22227901)National Science and Technology Major Project of China(J2019-V-0004-0095)Science Center for Gas Turbine Project(2023-B-V-002-001)Aeronautical Science Foundation of China(20230046057018)China Postdoctoral Science Foundation(2023M742231)Postdoctoral Fellowship Program of CPSF(GZC20231561。
文摘With the same level of measurement accuracy,more portable and miniaturized measurement systems will have greater advantages,providing users with more flexible and convenient measurement solutions.Here,we introduce a new type of digital image correlation(DIC)system that incorporates a binocular meta-lens,featuring a simple and compact configuration.Meta-lens is one of the promising flat optical imaging devices that are ultra-thin,customizable,and well-suited for use in confined spaces.We evaluated this binocular meta-lens based DIC(BM-DIC)system through classic in-plane and out-of-plane translation tests,followed by a bending test on a helicopter wing model to capture 3D displacement and deformation fields.For in-plane translations,the system achieved high precision with a standard deviation(σ)below 2μm.Despite a small baseline of 4 mm,the system maintained aσof approximately 32μm for out-of-plane translations.Comparative analysis with conventional dual-camera stereo DIC systems showed that the BM-DIC system maintains an acceptable relative error margin of about 1%in measured strain fields despite a 75-fold reduction in baseline length.This research demonstrates the integration of DIC techniques with advanced meta-lens technology,indicating substantial potential to enhance the capabilities of DIC technology in experimental solid mechanics.
基金supported by STI 2030-Major Projects,No.2021ZD0201603(to JL)the Joint Foundation Program of the Chinese Academy of Sciences,No.8091A170201(to JL)+1 种基金the National Natural Science Foundation of China,Nos.T2293730(to XC),T2293731(to XC),T2293734(to XC),62471291(to YW),62121003(to XC),61960206012(to XC),62333020(to XC),and 62171434(to XC)the National Key Research and Development Program of China,Nos.2022YFC2402501(to XC),2022YFB3205602(to XC).
文摘Neuromodulation techniques effectively intervene in cognitive function,holding considerable scientific and practical value in fields such as aerospace,medicine,life sciences,and brain research.These techniques utilize electrical stimulation to directly or indirectly target specific brain regions,modulating neural activity and influencing broader brain networks,thereby regulating cognitive function.Regulating cognitive function involves an understanding of aspects such as perception,learning and memory,attention,spatial cognition,and physical function.To enhance the application of cognitive regulation in the general population,this paper reviews recent publications from the Web of Science to assess the advancements and challenges of invasive and non-invasive stimulation methods in modulating cognitive functions.This review covers various neuromodulation techniques for cognitive intervention,including deep brain stimulation,vagus nerve stimulation,and invasive methods using microelectrode arrays.The non-invasive techniques discussed include transcranial magnetic stimulation,transcranial direct current stimulation,transcranial alternating current stimulation,transcutaneous electrical acupoint stimulation,and time interference stimulation for activating deep targets.Invasive stimulation methods,which are ideal for studying the pathogenesis of neurological diseases,tend to cause greater trauma and have been less researched in the context of cognitive function regulation.Non-invasive methods,particularly newer transcranial stimulation techniques,are gentler and more appropriate for regulating cognitive functions in the general population.These include transcutaneous acupoint electrical stimulation using acupoints and time interference methods for activating deep targets.This paper also discusses current technical challenges and potential future breakthroughs in neuromodulation technology.It is recommended that neuromodulation techniques be combined with neural detection methods to better assess their effects and improve the accuracy of non-invasive neuromodulation.Additionally,researching closed-loop feedback neuromodulation methods is identified as a promising direction for future development.
文摘Tourism,an essential engine for economic development,also raises issues that lean towards the economic aspect face to face with the environmental,socio-cultural,and well-being of the local community.Bodhgaya,a UNESCO World Heritage Site and one of the holiest pilgrimage sites in Buddhism,reflects the complexities of tourism-driven development.Tourism has contributed to the local economy but has also manifested social-economic inequality,stressed the facilities,and put pressure on cultural heritage and the environment.This research elaborates on the relationship between tourism and community development in Bodhgaya through economic,cultural,environmental,and social aspects.Based on the literature review and primary data analysis,the research shows how residents perceive the impacts of tourism on their rural culture,the degree of involvement of the community in tourism governance,and the difficulties of maintaining a balance between tourism growth and the preservation of the local culture.The results show that although tourism creates jobs and aids local businesses,benefits are not evenly distributed,with many residents remaining in a precarious economic state.Additionally,cultural commodification and ecological degradation are rampant,made worse by inadequate infrastructure and exclusionary planning processes.This research highlights the critical role of community involvement in designing sustainable tourism approaches and suggests practical steps to ensure fair development.The impact of social tourism participants on resident community empowerment in religious and heritage sites is a topic of broader importance for destination management,cultural heritage,and tourism development in general.
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.
基金supported bsy NSERC (RGPIN-2022-04402)by the Fonds de Recherche en Santédu Québec (FRQS-329974) both awarded to Dr Maheu
文摘Background:It has been reported that factors such as age and vestibular pathology (i.e. vestibular migraine) could impact self-motion perception during vestibular stimulation. However, to our knowledge, no objective test has been developed to quantify self-motion perception during clinical vestibular evaluation.ObjectiveThe main objective of the present study was to quantify vestibular perception during caloric vestibular stimulation using a tachometer.MethodsTwenty-two participants were divided into three groups: 1) younger healthy adults, 2) older healthy adults and 3) vestibular impaired adults. All participants performed bithermal water caloric irrigation during which slow-phase eye velocity (SPV) was measured using videonystagmography and self-motion velocity perception was assessed using a handheld tachometer (RPM).ResultsThe results revealed a significant difference in SPV between vestibular impaired ears and both healthy groups, and a significant difference in self-motion velocity perception between healthy young and vestibular impaired participants.ConclusionsThis study suggest that the SPV similarly to self-motion perception (RPM) can differentiate between vestibular impaired and young healthy participants. Future work is required to assess the influence of self-motion perception in aging.
基金supported by a grant from the National Natural Science Foundation of China(No.72174130)。
文摘Objectives Nurses’clinical research activities have contributed to optimizing the care process and improving patient outcomes,and generative artificial intelligence(GAI)may help clinical nurses strengthen their research skills.To support research,this study aimed to explore the Chinese nurses’perceptions and experiences of GAI training.Methods This study used a descriptive qualitative design.The China Nurses Network conducted a three-day training session on“GAI for Nursing Research”theme,we selected 23 nurses by a convenience sampling method among participating in the training.The researchers conducted three focus group interviews at the end of each day.All focus groups were interviewed face-to-face to facilitate interaction,data collection,and observation.The data were analyzed using conventional content analysis and coded manually.Results The results showed that nurses’use of GAI to support scientific research was dynamic and characterized by evolving perceptions and practices.Four themes and 11 sub-themes emerged from the analysis:1)utilization efficacy:cope with research ability,affected by many factors;2)booster research:growth and challenges go hand in hand;3)role reversal:from GAI-dominated to nurse-dominated;4)beautiful dream:more features on research,more assistants on clinical care.Conclusions The effectiveness of GAI in supporting clinical nurses in conducting research is mainly limited by differences in personal research literacy,lack of ethical regulation,and information accuracy.In the future,it is necessary to improve nurses’relevant skills through specialized training and promote the standardization of technical regulations to ensure the appropriate application of GAI in nursing research.
