Background Pain sensitivity is critical for preventing non-suicidal self-injury(NSSI)behaviours;however,individuals engaging in such behaviours often exhibit decreased pain sensitivity,which may undermine this natural...Background Pain sensitivity is critical for preventing non-suicidal self-injury(NSSI)behaviours;however,individuals engaging in such behaviours often exhibit decreased pain sensitivity,which may undermine this natural safeguard.The dorsolateral prefrontal cortex(DLPFC)is a key region involved in pain regulation,and recent approaches using transcranial direct current stimulation(tDCS)to target the DLPFC have shown potential for modulating pain processing and restoring normal pain perception for individuals engaging in NSSI behaviours.Aims This study aimed to explore the immediate and short-term effects of a single session of tDCS on pain sensitivity in individuals with NSSI,as well as its secondary effects on mood and NSSI-related factors.Methods In this randomised,double-blind,parallel,sham-controlled clinical trial,participants with a history of NSSI were randomly assigned to receive either active or sham tDCS.The intervention consisted of a single 20 min tDCS session targeting the left DLPFC.The primary outcome was pain sensitivity,measured by the pressure pain threshold(PPT)and heat pain score(HPS).Secondary and additional outcomes included NSSI urges,NSSI resistance,self-efficacy in resisting NSSI,mood-related variables and exploratory cognitive-affective processes such as rumination,self-criticism and self-perceived pain sensitivity,assessed at baseline,immediately post-intervention,and at 24 hours,1 week and 2 weeks follow-ups.Results For the primary outcomes,no significant differences between groups were observed for pain sensitivity(PPT,padj=0.812;HPS,padj=0.608).However,an exploratory sensitivity analysis treating each trial as an individual observation revealed a significant effect on HPS(padj=0.036).For the secondary and additional outcomes,although there were initial improvements in joyful feelings and reductions in negative affect at 2 weeks post-intervention,these effects did not remain significant after multiple comparison corrections.Notably,reductions in rumination were statistically significant at both 1-week and 2-week follow-ups(1 week,p_(adj)=0.040;2 weeks,p_(adj)=0.042).There were no significant effects on NSSI urges,NSSI resistance,self-efficacy in resisting NSSI or self-criticism.Conclusions A single session of tDCS over the left DLPFC did not produce significant changes in pain sensitivity in individuals with NSSI.A sensitivity analysis indicated an effect on heat pain sensitivity,possibly reflecting changes in brain activity,warranting confirmation through neuroimaging.These findings suggest that tDCS warrants further investigation for its potential to influence pain-related cognitive-affective processes in individuals with NSSI.展开更多
This paper introduces a computational cognitive architecture that serves as a comprehensive computational theory of the human mind,from cognitive science and computational psychology.The cognitive architecture(named C...This paper introduces a computational cognitive architecture that serves as a comprehensive computational theory of the human mind,from cognitive science and computational psychology.The cognitive architecture(named Clarion)has been justified by,and validated against,psychological data,findings,and theoretical constructs.One important theoretical background for it is the dual-process theories,which led to its overall two-level structuring in a hybrid neuro-symbolic way.Furthermore,given the recent advances in AI and computing technology,LLMs are being incorporated into the model to better capture human intuition and instinct(and implicit processes in general),in order to further enhance Clarion.Integrating Clarion and LLMs can also help to develop AI systems that are more capable,more reliable,and more human-like.Overall,the paper advocates a multidisciplinary approach towards developing better models for cognitive science and for AI.展开更多
The aging process is an inexorable fact throughout our lives and is considered a major factor in develo ping neurological dysfunctions associated with cognitive,emotional,and motor impairments.Aging-associated neurode...The aging process is an inexorable fact throughout our lives and is considered a major factor in develo ping neurological dysfunctions associated with cognitive,emotional,and motor impairments.Aging-associated neurodegenerative diseases are characterized by the progressive loss of neuronal structure and function.展开更多
The concept of the brain cognitive reserve is derived from the well-acknowledged notion that the degree of brain damage does not always match the severity of clinical symptoms and neurological/cognitive outcomes.It ha...The concept of the brain cognitive reserve is derived from the well-acknowledged notion that the degree of brain damage does not always match the severity of clinical symptoms and neurological/cognitive outcomes.It has been suggested that the size of the brain(brain reserve) and the extent of neural connections acquired through life(neural reserve) set a threshold beyond which noticeable impairments occur.In contrast,cognitive reserve refers to the brain's ability to adapt and reo rganize stru cturally and functionally to resist damage and maintain function,including neural reserve and brain maintenance,resilience,and compensation(Verkhratsky and Zorec,2024).展开更多
Challenges in the prevention and treatment of mild cognitive impairment associated with Alzheimer's disease:Increased life expectancy due to advancements in medical care has given rise to an aging population,accom...Challenges in the prevention and treatment of mild cognitive impairment associated with Alzheimer's disease:Increased life expectancy due to advancements in medical care has given rise to an aging population,accompanied by a surge in the incidence of incurable neurodegenerative diseases(NDDs).These diseases primarily affect the cognitive and behavioral functions of older adults by impacting brain activity.Mild cognitive impairment(MCI)is a neurodegenerative condition that affects a significant portion of the population.展开更多
Processes supported by process-aware information systems are subject to continuous and often subtle changes due to evolving operational,organizational,or regulatory factors.These changes,referred to as incremental con...Processes supported by process-aware information systems are subject to continuous and often subtle changes due to evolving operational,organizational,or regulatory factors.These changes,referred to as incremental concept drift,gradually alter the behavior or structure of processes,making their detection and localization a challenging task.Traditional process mining techniques frequently assume process stationarity and are limited in their ability to detect such drift,particularly from a control-flow perspective.The objective of this research is to develop an interpretable and robust framework capable of detecting and localizing incremental concept drift in event logs,with a specific emphasis on the structural evolution of control-flow semantics in processes.We propose DriftXMiner,a control-flow-aware hybrid framework that combines statistical,machine learning,and process model analysis techniques.The approach comprises three key components:(1)Cumulative Drift Scanner that tracks directional statistical deviations to detect early drift signals;(2)a Temporal Clustering and Drift-Aware Forest Ensemble(DAFE)to capture distributional and classification-level changes in process behavior;and(3)Petri net-based process model reconstruction,which enables the precise localization of structural drift using transition deviation metrics and replay fitness scores.Experimental validation on the BPI Challenge 2017 event log demonstrates that DriftXMiner effectively identifies and localizes gradual and incremental process drift over time.The framework achieves a detection accuracy of 92.5%,a localization precision of 90.3%,and an F1-score of 0.91,outperforming competitive baselines such as CUSUM+Histograms and ADWIN+Alpha Miner.Visual analyses further confirm that identified drift points align with transitions in control-flow models and behavioral cluster structures.DriftXMiner offers a novel and interpretable solution for incremental concept drift detection and localization in dynamic,process-aware systems.By integrating statistical signal accumulation,temporal behavior profiling,and structural process mining,the framework enables finegrained drift explanation and supports adaptive process intelligence in evolving environments.Its modular architecture supports extension to streaming data and real-time monitoring contexts.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
Cognitive impairment is a particularly severe non-motor symptom of Parkinson's disease that significantly diminishes the quality of life of affected individuals.Identifying reliable biomarkers for cognitive impair...Cognitive impairment is a particularly severe non-motor symptom of Parkinson's disease that significantly diminishes the quality of life of affected individuals.Identifying reliable biomarkers for cognitive impairment in Parkinson's disease is essential for early diagnosis,prognostic assessments,and the development of targeted therapies.This review aims to summarize recent advancements in biofluid biomarkers for cognitive impairment in Parkinson's disease,focusing on the detection of specific proteins,metabolites,and other biomarkers in blood,cerebrospinal fluid,and saliva.These biomarkers can shed light on the multifaceted etiology of cognitive impairment in Parkinson's disease,which includes protein misfolding,neurodegeneration,inflammation,and oxidative stress.The integration of biofluid biomarkers with neuroimaging and clinical data can facilitate the development of predictive models to enhance early diagnosis and monitor the progression of cognitive impairment in patients with Parkinson's disease.This comprehensive approach can improve the existing understanding of the mechanisms driving cognitive decline and support the development of targeted therapeutic strategies aimed at modifying the course of cognitive impairment in Parkinson's disease.Despite the promise of these biomarkers in characterizing the mechanisms underlying cognitive decline in Parkinson's disease,further research is necessary to validate their clinical utility and establish a standardized framework for early detection and monitoring of cognitive impairment in Parkinson's disease.展开更多
Adult hippocampal neurogenesis is linked to memory formation in the adult brain,with new neurons in the hippocampus exhibiting greater plasticity during their immature stages compared to mature neurons.Abnormal adult ...Adult hippocampal neurogenesis is linked to memory formation in the adult brain,with new neurons in the hippocampus exhibiting greater plasticity during their immature stages compared to mature neurons.Abnormal adult hippocampal neurogenesis is closely associated with cognitive impairment in central nervous system diseases.Targeting and regulating adult hippocampal neurogenesis have been shown to improve cognitive deficits.This review aims to expand the current understanding and prospects of targeting neurogenesis in the treatment of cognitive impairment.Recent research indicates the presence of abnormalities in AHN in several diseases associated with cognitive impairment,including cerebrovascular diseases,Alzheimer's disease,aging-related conditions,and issues related to anesthesia and surgery.The role of these abnormalities in the cognitive deficits caused by these diseases has been widely recognized,and targeting AHN is considered a promising approach for treating cognitive impairment.However,the underlying mechanisms of this role are not yet fully understood,and the effectiveness of targeting abnormal adult hippocampal neurogenesis for treatment remains limited,with a need for further development of treatment methods and detection techniques.By reviewing recent studies,we classify the potential mechanisms of adult hippocampal neurogenesis abnormalities into four categories:immunity,energy metabolism,aging,and pathological states.In immunity-related mechanisms,abnormalities in meningeal,brain,and peripheral immunity can disrupt normal adult hippocampal neurogenesis.Lipid metabolism and mitochondrial function disorders are significant energy metabolism factors that lead to abnormal adult hippocampal neurogenesis.During aging,the inflammatory state of the neurogenic niche and the expression of aging-related microRNAs contribute to reduced adult hippocampal neurogenesis and cognitive impairment in older adult patients.Pathological states of the body and emotional disorders may also result in abnormal adult hippocampal neurogenesis.Among the current strategies used to enhance this form of neurogenesis,physical therapies such as exercise,transcutaneous electrical nerve stimulation,and enriched environments have proven effective.Dietary interventions,including energy intake restriction and nutrient optimization,have shown efficacy in both basic research and clinical trials.However,drug treatments,such as antidepressants and stem cell therapy,are primarily reported in basic research,with limited clinical application.The relationship between abnormal adult hippocampal neurogenesis and cognitive impairment has garnered widespread attention,and targeting the former may be an important strategy for treating the latter.However,the mechanisms underlying abnormal adult hippocampal neurogenesis remain unclear,and treatments are lacking.This highlights the need for greater focus on translating research findings into clinical practice.展开更多
The complexity of the seismicity pattern for the subduction zone along the oceanic plate triggered the outer rise events and revealed cyclic tectonic deformation conditions along the plate subduction zones.The outer r...The complexity of the seismicity pattern for the subduction zone along the oceanic plate triggered the outer rise events and revealed cyclic tectonic deformation conditions along the plate subduction zones.The outer rise earthquakes have been observed along the Sunda arc,following the estimated rupture area of the 2005 M_(W)8.6 Nias earthquakes.Here,we used kinematic waveform inversion(KIWI)to obtain the source parameters of the 14 May 2021 M_(W)6.6 event off the west coast of northern Sumatra and to define the fault plane that triggered this outer rise event.The KIWI algorithm allows two types of seismic source to be configured:the moment tensor model to describe the type of shear with six moment tensor components and the Eikonal model for the rupture of pure double-couple sources.This method was chosen for its flexibility to be applied for different sources of seismicity and also for the automated full-moment tensor solution with real-time monitoring.We used full waveform traces from 8 broadband seismic stations within 1000 km epicentral distances sourced from the Incorporated Research Institutions for Seismology(IRIS-IDA)and Geofon GFZ seismic record databases.The initial origin time and hypocenter values are obtained from the IRIS-IDA.The synthetic seismograms used in the inversion process are based on the existing regional green function database model and were accessed from the KIWI Tools Green's Function Database.The obtained scalar seismic moment value is 1.18×10^(19)N·m,equivalent to a moment magnitude M_(W)6.6.The source parameters are 140°,44°,and−99°for the strike,dip,and rake values at a centroid depth of 10.2 km,indicating that this event is a normal fault earthquake that occurred in the outer rise area.The outer rise events with normal faults typically occur at the shallow part of the plate,with nodal-plane dips predominantly in the range of 30°-60°on the weak oceanic lithosphere due to hydrothermal alteration.The stress regime around the plate subduction zone varies both temporally and spatially due to the cyclic influences of megathrust earthquakes.Tensional outer rise earthquakes tend to occur after the megathrust events.The relative timing of these events is not known due to the viscous relaxation of the down going slab and poroelastic response in the trench slope region.The occurrence of the 14 May 2021 earthquake shows the seismicity in the outer rise region in the strongly coupled Sunda arc subduction zone due to elastic bending stress within the duration of the seismic cycle.展开更多
Complex genetic relationships between neurodegenerative disorders and neuropsychiatric symptoms have been shown, suggesting shared pathogenic mechanisms and emphasizing the potential for developing common therapeutic ...Complex genetic relationships between neurodegenerative disorders and neuropsychiatric symptoms have been shown, suggesting shared pathogenic mechanisms and emphasizing the potential for developing common therapeutic targets. Apolipoprotein E(APOE) genotypes and their corresponding protein(Apo E) isoforms may influence the biophysical properties of the cell membrane lipid bilayer. However, the role of APOE in central nervous system pathophysiology extended beyond its lipid transport function. In the present review article, we analyzed the links existing between APOE genotypes and the neurobiology of neuropsychiatric symptoms in neurodegenerative and vascular diseases. APOE genotypes(APOE ε2, APOE ε3, and APOE ε4) were implicated in common mechanisms underlying a wide spectrum of neurodegenerative diseases, including sporadic Alzheimer's disease, synucleinopathies such as Parkinson's disease and Lewy body disease, stroke, and traumatic brain injury. These shared pathways often involved neuroinflammation, abnormal protein accumulation, or responses to acute detrimental events. Across these conditions, APOE variants are believed to contribute to the modulation of inflammatory responses, the regulation of amyloid and tau pathology, as well as the clearance of proteins such as α-synuclein. The bidirectional interactions among Apo E, amyloid and mitochondrial metabolism, immunomodulatory effects, neuronal repair, and remodeling underscored the complexity of Apo E's role in neuropsychiatric symptoms associated with these conditions since from early phases of cognitive impairment such as mild cognitive impairment and mild behavioral impairment. Besides Apo E-specific isoforms' link to increased neuropsychiatric symptoms in Alzheimer's disease(depression, psychosis, aberrant motor behaviors, and anxiety, not apathy), the APOE ε4 genotype was also considered a significant genetic risk factor for Lewy body disease and its worse cognitive outcomes. Conversely, the APOE ε2 variant has been observed not to exert a protective effect equally in all neurodegenerative diseases. Specifically, in Lewy body disease, this variant may delay disease onset, paralleling its protective role in Alzheimer's disease, although its role in frontotemporal dementia is uncertain. The APOE ε4 genotype has been associated with adverse cognitive outcomes across other various neurodegenerative conditions. In Parkinson's disease, the APOE ε4 allele significantly impacted cognitive performance, increasing the risk of developing dementia, even in cases of pure synucleinopathies with minimal co-pathology from Alzheimer's disease. Similarly, in traumatic brain injury, recovery rates varied, with APOE ε4 carriers demonstrating a greater risk of poor long-term cognitive outcomes and elevated levels of neuropsychiatric symptoms. Furthermore, APOE ε4 influenced the age of onset and severity of stroke, as well as the likelihood of developing stroke-associated dementia, potentially due to its role in compromising endothelial integrity and promoting blood–brain barrier dysfunction.展开更多
In this study,an automated multimodal system for detecting,classifying,and dating fruit was developed using a two-stage YOLOv11 pipeline.In the first stage,the YOLOv11 detection model locates individual date fruits in...In this study,an automated multimodal system for detecting,classifying,and dating fruit was developed using a two-stage YOLOv11 pipeline.In the first stage,the YOLOv11 detection model locates individual date fruits in real time by drawing bounding boxes around them.These bounding boxes are subsequently passed to a YOLOv11 classification model,which analyzes cropped images and assigns class labels.An additional counting module automatically tallies the detected fruits,offering a near-instantaneous estimation of quantity.The experimental results suggest high precision and recall for detection,high classification accuracy(across 15 classes),and near-perfect counting in real time.This paper presents a multi-stage pipeline for date fruit detection,classification,and automated counting,employing YOLOv11-based models to achieve high accuracy while maintaining real-time throughput.The results demonstrated that the detection precision exceeded 90%,the classification accuracy approached 92%,and the counting module correlated closely with the manual tallies.These findings confirm the potential of reducing manual labour and enhancing operational efficiency in post-harvesting processes.Future studies will include dataset expansion,user-centric interfaces,and integration with harvesting robotics.展开更多
Covert timing channels(CTC)exploit network resources to establish hidden communication pathways,posing signi cant risks to data security and policy compliance.erefore,detecting such hidden and dangerous threats remain...Covert timing channels(CTC)exploit network resources to establish hidden communication pathways,posing signi cant risks to data security and policy compliance.erefore,detecting such hidden and dangerous threats remains one of the security challenges. is paper proposes LinguTimeX,a new framework that combines natural language processing with arti cial intelligence,along with explainable Arti cial Intelligence(AI)not only to detect CTC but also to provide insights into the decision process.LinguTimeX performs multidimensional feature extraction by fusing linguistic attributes with temporal network patterns to identify covert channels precisely.LinguTimeX demonstrates strong e ectiveness in detecting CTC across multiple languages;namely English,Arabic,and Chinese.Speci cally,the LSTM and RNN models achieved F1 scores of 90%on the English dataset,89%on the Arabic dataset,and 88%on the Chinese dataset,showcasing their superior performance and ability to generalize across multiple languages. is highlights their robustness in detecting CTCs within security systems,regardless of the language or cultural context of the data.In contrast,the DeepForest model produced F1-scores ranging from 86%to 87%across the same datasets,further con rming its e ectiveness in CTC detection.Although other algorithms also showed reasonable accuracy,the LSTM and RNN models consistently outperformed them in multilingual settings,suggesting that deep learning models might be better suited for this particular problem.展开更多
With the increasing complexity of industrial automation,planetary gearboxes play a vital role in largescale equipment transmission systems,directly impacting operational efficiency and safety.Traditional maintenance s...With the increasing complexity of industrial automation,planetary gearboxes play a vital role in largescale equipment transmission systems,directly impacting operational efficiency and safety.Traditional maintenance strategies often struggle to accurately predict the degradation process of equipment,leading to excessive maintenance costs or potential failure risks.However,existing prediction methods based on statistical models are difficult to adapt to nonlinear degradation processes.To address these challenges,this study proposes a novel condition-based maintenance framework for planetary gearboxes.A comprehensive full-lifecycle degradation experiment was conducted to collect raw vibration signals,which were then processed using a temporal convolutional network autoencoder with multi-scale perception capability to extract deep temporal degradation features,enabling the collaborative extraction of longperiod meshing frequencies and short-term impact features from the vibration signals.Kernel principal component analysis was employed to fuse and normalize these features,enhancing the characterization of degradation progression.A nonlinear Wiener process was used to model the degradation trajectory,with a threshold decay function introduced to dynamically adjust maintenance strategies,and model parameters optimized through maximum likelihood estimation.Meanwhile,the maintenance strategy was optimized to minimize costs per unit time,determining the optimal maintenance timing and preventive maintenance threshold.The comprehensive indicator of degradation trends extracted by this method reaches 0.756,which is 41.2%higher than that of traditional time-domain features;the dynamic threshold strategy reduces the maintenance cost per unit time to 55.56,which is 8.9%better than that of the static threshold optimization.Experimental results demonstrate significant reductions in maintenance costs while enhancing system reliability and safety.This study realizes the organic integration of deep learning and reliability theory in the maintenance of planetary gearboxes,provides an interpretable solution for the predictive maintenance of complex mechanical systems,and promotes the development of condition-based maintenance strategies for planetary gearboxes.展开更多
Based on the cognitive radar concept and the basic connotation of cognitive skywave over-the-horizon radar（SWOTHR）, the system structure and information processingmechanism about cognitive SWOTHR are researched. Amo...Based on the cognitive radar concept and the basic connotation of cognitive skywave over-the-horizon radar（SWOTHR）, the system structure and information processingmechanism about cognitive SWOTHR are researched. Amongthem, the hybrid network system architecture which is thedistributed configuration combining with the centralized cognition and its soft/hardware framework with the sense-detectionintegration are proposed, and the information processing framebased on the lens principle and its information processing flowwith receive-transmit joint adaption are designed, which buildand parse the work law for cognition and its self feedback adjustment with the lens focus model and five stages informationprocessing sequence. After that, the system simulation andthe performance analysis and comparison are provided, whichinitially proves the rationality and advantages of the proposedideas. Finally, four important development ideas of futureSWOTHR toward ＂high frequency intelligence information processing system＂ are discussed, which are scene information fusion, dynamic reconfigurable system, hierarchical and modulardesign, and sustainable development. Then the conclusion thatthe cognitive SWOTHR can cause the performance improvement is gotten.展开更多
OBJECTIVE A causal relationshiphas been postulated between cholinergic dysfunction and the progression of cognitive decline in neurodegenerative disorders. However,the cause of the cognitive dysfunction remains unclea...OBJECTIVE A causal relationshiphas been postulated between cholinergic dysfunction and the progression of cognitive decline in neurodegenerative disorders. However,the cause of the cognitive dysfunction remains unclear. METHODS Gab1^(loxP/loxP) were bred with ChAT-Cre mice to generate ChAT-Cre; Gab1^(f/f) mice. Excitability of cholinergic neurons wererecorded using whole-cel patch clump. A series of behavioral analyses were used to address the changes of cognitive function in ChAT-Cre; Gab1^(f/f) mice. Neurochemical changes on brain of conditional knockout mice were evaluated by using immunohistochemistry and Western blotting analysis. RESULTS Grb2-associated-binding protein 1(Gab1) is adocking/scaffolding molecule known to play an important role in cell growth and survival. Here,wereport that Gab1 is decreased in cholinergic neurons in a mousemodel of AD. We found that selective downregulation of Gab1 in the septum impaired learning and memory and hippocampal long-term potentiation,whereas overexpression of Gab1 in the same area rescued the cognitive deficitsseen in ChAT-Cre; Gab1^(f/f) and APP^(swe)/PS1 mice.^(18)F-FDGmicroP ET imaging data indicated that Gab1 treatment had no effect on metabolic activity of glucose in APPswe/PS1 mice. Moreover,we identify abnormal function of SKchannelscontributes to increased firing in cholinergic neuronsof ChAT-Cre; Gab1^(f/f) mice. CONCLUSION Gab1 signaling may serve as a potential treatment target for neurological disorders involving dysfunction of central cholinergic neurons.展开更多
The goethite iron precipitation process consists of several continuous reactors and involves a series of complex chemical reactions,such as oxidation reaction,hydrolysis reaction and neutralization reaction.It is hard...The goethite iron precipitation process consists of several continuous reactors and involves a series of complex chemical reactions,such as oxidation reaction,hydrolysis reaction and neutralization reaction.It is hard to accurately establish a mathematical model of the process featured by strong nonlinearity,uncertainty and time-delay.A modeling method based on time-delay fuzzy gray cognitive network(T-FGCN)for the goethite iron precipitation process was proposed in this paper.On the basis of the process mechanism,experts’practical experience and historical data,the T-FGCN model of the goethite iron precipitation system was established and the weights were studied by using the nonlinear hebbian learning(NHL)algorithm with terminal constraints.By analyzing the system in uncertain environment of varying degrees,in the environment of high uncertainty,the T-FGCN can accurately simulate industrial systems with large time-delay and uncertainty and the simulated system can converge to steady state with zero gray scale or a small one.展开更多
Previous studies have shown that increases in pupil size are correlated with increasing cognitive processing demands. Our aim was to confirm whether these findings could be replicated with new portable and less obtrus...Previous studies have shown that increases in pupil size are correlated with increasing cognitive processing demands. Our aim was to confirm whether these findings could be replicated with new portable and less obtrusive eye-tracking technology. We assessed the percentage change of pupillary diameter from baseline as eight subjects completed a series of randomly ordered arithmetic problems of varying difficulty. The mean peak pupil diameter expressed as a percentage change from baseline was significantly greater when answering difficult questions compared to easier questions. Moreover, the time to reach peak pupillary diameter occurred significantly faster when participants answered easier questions compared to more difficult questions. Finally, there was a significant difference when all groups were compared to control. This experiment confirms findings of previous studies that show that pupillary size is related to cognitive processing demands. It also demonstrates that mobile eye-trackers can be used to reliably gather this type of data. Furthermore, this experiment provides the basis for future studies using eye-tracking technology in new environments, for example in the study of expertise and performance in medical crisis situations.展开更多
BACKGROUND The severe physical and psychological impact of pain on the physical and mental health of women during labor leads to increased risks and complications during childbirth,presenting a major public health con...BACKGROUND The severe physical and psychological impact of pain on the physical and mental health of women during labor leads to increased risks and complications during childbirth,presenting a major public health concern.Some studies have shown that cognitive behavioral therapy(CBT)has a positive effect on maternal psychology during delivery,reducing stress and shortening labor time.Thus,CBT training for mothers and delivery room staff may be beneficial in minimizing complications and adverse effects during natural birth.AIM To investigate the clinical effects of CBT training and psychological care during delivery,and their therapeutic effects on women in labor.METHODS This study used a retrospective analysis and included 140 mothers admitted to the maternity ward between January 2021 and January 2023.The study subjects were randomized into two groups:control(n=70)and observation(n=70).Routine care,CBT training,and psychological care were provided to mothers in both groups.Psychological status scores,delivery time,and satisfaction with care pre-and post-delivery were compared,and the incidence of complications after receiving care was analyzed between the two groups.RESULTS Although the psychological state of both groups improved significantly in the late stages of labor,the psychological state scores of the mothers in the observation group were significantly lower than those of the mothers in the control group(P<0.05).The duration of labor and incidence of complications in the observation group were significantly lower than those in the control group(P<0.05).The mothers in the observation group were significantly more satisfied with nursing care during the course of labor than those in the control group(P<0.05).CONCLUSION CBT training and psychological care for mothers in the midwifery process can effectively improve anxiety and depression,shorten labor duration,reduce postnatal complications,and improve nursing satisfaction and nurse-patient relationships.Its clinical application is effective and has popularization value,providing a new way to protect maternal mental health.展开更多
Although a large number of studies have focused on various aspects of politeness,very little is known about how politeness intention is activated cognitively during verbal communication.The present study aims to explo...Although a large number of studies have focused on various aspects of politeness,very little is known about how politeness intention is activated cognitively during verbal communication.The present study aims to explore the cognitive mechanism of politeness intention processing,and how it is related to pragmatic failure during cross-cultural communication.Using 30 Chinese EFL university students who were instructed to finish a probe word judgment task with 96 virtual scenarios,the results indicate that within both mono-and cross-cultural contexts,the response time in the experimental scenarios was significantly slower than that of the filler scenarios.This suggests that politeness intention was activated while understanding the surface meaning of the conversation;however,the EFL learners could not completely avoid the negative transfer of their native politeness conventions when they were comprehending the conversational intention of the target language.Furthermore,no significant differences in response time were found between the groups with high and low English pragmatic competence,illustrating that transferring the pragmatic rules and principles into cross-cultural communication skills was more cognitively demanding.Overall,this study adds to the literature on politeness research and provides some implications for foreign language pragmatic instructions.展开更多
基金supported by National Natural Science Foundation of China(82471564)YT is supported by National Natural Science Foundation of China(32322035,32171078).
文摘Background Pain sensitivity is critical for preventing non-suicidal self-injury(NSSI)behaviours;however,individuals engaging in such behaviours often exhibit decreased pain sensitivity,which may undermine this natural safeguard.The dorsolateral prefrontal cortex(DLPFC)is a key region involved in pain regulation,and recent approaches using transcranial direct current stimulation(tDCS)to target the DLPFC have shown potential for modulating pain processing and restoring normal pain perception for individuals engaging in NSSI behaviours.Aims This study aimed to explore the immediate and short-term effects of a single session of tDCS on pain sensitivity in individuals with NSSI,as well as its secondary effects on mood and NSSI-related factors.Methods In this randomised,double-blind,parallel,sham-controlled clinical trial,participants with a history of NSSI were randomly assigned to receive either active or sham tDCS.The intervention consisted of a single 20 min tDCS session targeting the left DLPFC.The primary outcome was pain sensitivity,measured by the pressure pain threshold(PPT)and heat pain score(HPS).Secondary and additional outcomes included NSSI urges,NSSI resistance,self-efficacy in resisting NSSI,mood-related variables and exploratory cognitive-affective processes such as rumination,self-criticism and self-perceived pain sensitivity,assessed at baseline,immediately post-intervention,and at 24 hours,1 week and 2 weeks follow-ups.Results For the primary outcomes,no significant differences between groups were observed for pain sensitivity(PPT,padj=0.812;HPS,padj=0.608).However,an exploratory sensitivity analysis treating each trial as an individual observation revealed a significant effect on HPS(padj=0.036).For the secondary and additional outcomes,although there were initial improvements in joyful feelings and reductions in negative affect at 2 weeks post-intervention,these effects did not remain significant after multiple comparison corrections.Notably,reductions in rumination were statistically significant at both 1-week and 2-week follow-ups(1 week,p_(adj)=0.040;2 weeks,p_(adj)=0.042).There were no significant effects on NSSI urges,NSSI resistance,self-efficacy in resisting NSSI or self-criticism.Conclusions A single session of tDCS over the left DLPFC did not produce significant changes in pain sensitivity in individuals with NSSI.A sensitivity analysis indicated an effect on heat pain sensitivity,possibly reflecting changes in brain activity,warranting confirmation through neuroimaging.These findings suggest that tDCS warrants further investigation for its potential to influence pain-related cognitive-affective processes in individuals with NSSI.
文摘This paper introduces a computational cognitive architecture that serves as a comprehensive computational theory of the human mind,from cognitive science and computational psychology.The cognitive architecture(named Clarion)has been justified by,and validated against,psychological data,findings,and theoretical constructs.One important theoretical background for it is the dual-process theories,which led to its overall two-level structuring in a hybrid neuro-symbolic way.Furthermore,given the recent advances in AI and computing technology,LLMs are being incorporated into the model to better capture human intuition and instinct(and implicit processes in general),in order to further enhance Clarion.Integrating Clarion and LLMs can also help to develop AI systems that are more capable,more reliable,and more human-like.Overall,the paper advocates a multidisciplinary approach towards developing better models for cognitive science and for AI.
文摘The aging process is an inexorable fact throughout our lives and is considered a major factor in develo ping neurological dysfunctions associated with cognitive,emotional,and motor impairments.Aging-associated neurodegenerative diseases are characterized by the progressive loss of neuronal structure and function.
文摘The concept of the brain cognitive reserve is derived from the well-acknowledged notion that the degree of brain damage does not always match the severity of clinical symptoms and neurological/cognitive outcomes.It has been suggested that the size of the brain(brain reserve) and the extent of neural connections acquired through life(neural reserve) set a threshold beyond which noticeable impairments occur.In contrast,cognitive reserve refers to the brain's ability to adapt and reo rganize stru cturally and functionally to resist damage and maintain function,including neural reserve and brain maintenance,resilience,and compensation(Verkhratsky and Zorec,2024).
基金supported by The Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(RS-2023-00244901)(to RB)。
文摘Challenges in the prevention and treatment of mild cognitive impairment associated with Alzheimer's disease:Increased life expectancy due to advancements in medical care has given rise to an aging population,accompanied by a surge in the incidence of incurable neurodegenerative diseases(NDDs).These diseases primarily affect the cognitive and behavioral functions of older adults by impacting brain activity.Mild cognitive impairment(MCI)is a neurodegenerative condition that affects a significant portion of the population.
文摘Processes supported by process-aware information systems are subject to continuous and often subtle changes due to evolving operational,organizational,or regulatory factors.These changes,referred to as incremental concept drift,gradually alter the behavior or structure of processes,making their detection and localization a challenging task.Traditional process mining techniques frequently assume process stationarity and are limited in their ability to detect such drift,particularly from a control-flow perspective.The objective of this research is to develop an interpretable and robust framework capable of detecting and localizing incremental concept drift in event logs,with a specific emphasis on the structural evolution of control-flow semantics in processes.We propose DriftXMiner,a control-flow-aware hybrid framework that combines statistical,machine learning,and process model analysis techniques.The approach comprises three key components:(1)Cumulative Drift Scanner that tracks directional statistical deviations to detect early drift signals;(2)a Temporal Clustering and Drift-Aware Forest Ensemble(DAFE)to capture distributional and classification-level changes in process behavior;and(3)Petri net-based process model reconstruction,which enables the precise localization of structural drift using transition deviation metrics and replay fitness scores.Experimental validation on the BPI Challenge 2017 event log demonstrates that DriftXMiner effectively identifies and localizes gradual and incremental process drift over time.The framework achieves a detection accuracy of 92.5%,a localization precision of 90.3%,and an F1-score of 0.91,outperforming competitive baselines such as CUSUM+Histograms and ADWIN+Alpha Miner.Visual analyses further confirm that identified drift points align with transitions in control-flow models and behavioral cluster structures.DriftXMiner offers a novel and interpretable solution for incremental concept drift detection and localization in dynamic,process-aware systems.By integrating statistical signal accumulation,temporal behavior profiling,and structural process mining,the framework enables finegrained drift explanation and supports adaptive process intelligence in evolving environments.Its modular architecture supports extension to streaming data and real-time monitoring contexts.
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.
基金supported by Applied Basic Research Foundation of Yunnan Province,Nos.202301AS070045,202101AY070001-115(to XY and BL)National Natural Science Foundation of China,No.81960242(to XY)。
文摘Cognitive impairment is a particularly severe non-motor symptom of Parkinson's disease that significantly diminishes the quality of life of affected individuals.Identifying reliable biomarkers for cognitive impairment in Parkinson's disease is essential for early diagnosis,prognostic assessments,and the development of targeted therapies.This review aims to summarize recent advancements in biofluid biomarkers for cognitive impairment in Parkinson's disease,focusing on the detection of specific proteins,metabolites,and other biomarkers in blood,cerebrospinal fluid,and saliva.These biomarkers can shed light on the multifaceted etiology of cognitive impairment in Parkinson's disease,which includes protein misfolding,neurodegeneration,inflammation,and oxidative stress.The integration of biofluid biomarkers with neuroimaging and clinical data can facilitate the development of predictive models to enhance early diagnosis and monitor the progression of cognitive impairment in patients with Parkinson's disease.This comprehensive approach can improve the existing understanding of the mechanisms driving cognitive decline and support the development of targeted therapeutic strategies aimed at modifying the course of cognitive impairment in Parkinson's disease.Despite the promise of these biomarkers in characterizing the mechanisms underlying cognitive decline in Parkinson's disease,further research is necessary to validate their clinical utility and establish a standardized framework for early detection and monitoring of cognitive impairment in Parkinson's disease.
基金supported by Technological Innovation 2030-Major Projects of“Brain Science and Brain-like Research,”No.2022ZD0206200(to XG)the National Natural Science Foundation of China,No.82371245(to SJ),82102246(to XD),81701092(to XG)+2 种基金the Natural Science Foundation of Shandong Province,No.ZR2020MH129(to SJ)Shanghai Municipal Key Clinical Specialty,No.shslczdzk03601Shanghai Engineering Research Center of Peri-operative Organ Support and Function Preservation,No.20DZ2254200。
文摘Adult hippocampal neurogenesis is linked to memory formation in the adult brain,with new neurons in the hippocampus exhibiting greater plasticity during their immature stages compared to mature neurons.Abnormal adult hippocampal neurogenesis is closely associated with cognitive impairment in central nervous system diseases.Targeting and regulating adult hippocampal neurogenesis have been shown to improve cognitive deficits.This review aims to expand the current understanding and prospects of targeting neurogenesis in the treatment of cognitive impairment.Recent research indicates the presence of abnormalities in AHN in several diseases associated with cognitive impairment,including cerebrovascular diseases,Alzheimer's disease,aging-related conditions,and issues related to anesthesia and surgery.The role of these abnormalities in the cognitive deficits caused by these diseases has been widely recognized,and targeting AHN is considered a promising approach for treating cognitive impairment.However,the underlying mechanisms of this role are not yet fully understood,and the effectiveness of targeting abnormal adult hippocampal neurogenesis for treatment remains limited,with a need for further development of treatment methods and detection techniques.By reviewing recent studies,we classify the potential mechanisms of adult hippocampal neurogenesis abnormalities into four categories:immunity,energy metabolism,aging,and pathological states.In immunity-related mechanisms,abnormalities in meningeal,brain,and peripheral immunity can disrupt normal adult hippocampal neurogenesis.Lipid metabolism and mitochondrial function disorders are significant energy metabolism factors that lead to abnormal adult hippocampal neurogenesis.During aging,the inflammatory state of the neurogenic niche and the expression of aging-related microRNAs contribute to reduced adult hippocampal neurogenesis and cognitive impairment in older adult patients.Pathological states of the body and emotional disorders may also result in abnormal adult hippocampal neurogenesis.Among the current strategies used to enhance this form of neurogenesis,physical therapies such as exercise,transcutaneous electrical nerve stimulation,and enriched environments have proven effective.Dietary interventions,including energy intake restriction and nutrient optimization,have shown efficacy in both basic research and clinical trials.However,drug treatments,such as antidepressants and stem cell therapy,are primarily reported in basic research,with limited clinical application.The relationship between abnormal adult hippocampal neurogenesis and cognitive impairment has garnered widespread attention,and targeting the former may be an important strategy for treating the latter.However,the mechanisms underlying abnormal adult hippocampal neurogenesis remain unclear,and treatments are lacking.This highlights the need for greater focus on translating research findings into clinical practice.
基金supported by the National Natural Science Foundation of China(Grant No.42130312)。
文摘The complexity of the seismicity pattern for the subduction zone along the oceanic plate triggered the outer rise events and revealed cyclic tectonic deformation conditions along the plate subduction zones.The outer rise earthquakes have been observed along the Sunda arc,following the estimated rupture area of the 2005 M_(W)8.6 Nias earthquakes.Here,we used kinematic waveform inversion(KIWI)to obtain the source parameters of the 14 May 2021 M_(W)6.6 event off the west coast of northern Sumatra and to define the fault plane that triggered this outer rise event.The KIWI algorithm allows two types of seismic source to be configured:the moment tensor model to describe the type of shear with six moment tensor components and the Eikonal model for the rupture of pure double-couple sources.This method was chosen for its flexibility to be applied for different sources of seismicity and also for the automated full-moment tensor solution with real-time monitoring.We used full waveform traces from 8 broadband seismic stations within 1000 km epicentral distances sourced from the Incorporated Research Institutions for Seismology(IRIS-IDA)and Geofon GFZ seismic record databases.The initial origin time and hypocenter values are obtained from the IRIS-IDA.The synthetic seismograms used in the inversion process are based on the existing regional green function database model and were accessed from the KIWI Tools Green's Function Database.The obtained scalar seismic moment value is 1.18×10^(19)N·m,equivalent to a moment magnitude M_(W)6.6.The source parameters are 140°,44°,and−99°for the strike,dip,and rake values at a centroid depth of 10.2 km,indicating that this event is a normal fault earthquake that occurred in the outer rise area.The outer rise events with normal faults typically occur at the shallow part of the plate,with nodal-plane dips predominantly in the range of 30°-60°on the weak oceanic lithosphere due to hydrothermal alteration.The stress regime around the plate subduction zone varies both temporally and spatially due to the cyclic influences of megathrust earthquakes.Tensional outer rise earthquakes tend to occur after the megathrust events.The relative timing of these events is not known due to the viscous relaxation of the down going slab and poroelastic response in the trench slope region.The occurrence of the 14 May 2021 earthquake shows the seismicity in the outer rise region in the strongly coupled Sunda arc subduction zone due to elastic bending stress within the duration of the seismic cycle.
文摘Complex genetic relationships between neurodegenerative disorders and neuropsychiatric symptoms have been shown, suggesting shared pathogenic mechanisms and emphasizing the potential for developing common therapeutic targets. Apolipoprotein E(APOE) genotypes and their corresponding protein(Apo E) isoforms may influence the biophysical properties of the cell membrane lipid bilayer. However, the role of APOE in central nervous system pathophysiology extended beyond its lipid transport function. In the present review article, we analyzed the links existing between APOE genotypes and the neurobiology of neuropsychiatric symptoms in neurodegenerative and vascular diseases. APOE genotypes(APOE ε2, APOE ε3, and APOE ε4) were implicated in common mechanisms underlying a wide spectrum of neurodegenerative diseases, including sporadic Alzheimer's disease, synucleinopathies such as Parkinson's disease and Lewy body disease, stroke, and traumatic brain injury. These shared pathways often involved neuroinflammation, abnormal protein accumulation, or responses to acute detrimental events. Across these conditions, APOE variants are believed to contribute to the modulation of inflammatory responses, the regulation of amyloid and tau pathology, as well as the clearance of proteins such as α-synuclein. The bidirectional interactions among Apo E, amyloid and mitochondrial metabolism, immunomodulatory effects, neuronal repair, and remodeling underscored the complexity of Apo E's role in neuropsychiatric symptoms associated with these conditions since from early phases of cognitive impairment such as mild cognitive impairment and mild behavioral impairment. Besides Apo E-specific isoforms' link to increased neuropsychiatric symptoms in Alzheimer's disease(depression, psychosis, aberrant motor behaviors, and anxiety, not apathy), the APOE ε4 genotype was also considered a significant genetic risk factor for Lewy body disease and its worse cognitive outcomes. Conversely, the APOE ε2 variant has been observed not to exert a protective effect equally in all neurodegenerative diseases. Specifically, in Lewy body disease, this variant may delay disease onset, paralleling its protective role in Alzheimer's disease, although its role in frontotemporal dementia is uncertain. The APOE ε4 genotype has been associated with adverse cognitive outcomes across other various neurodegenerative conditions. In Parkinson's disease, the APOE ε4 allele significantly impacted cognitive performance, increasing the risk of developing dementia, even in cases of pure synucleinopathies with minimal co-pathology from Alzheimer's disease. Similarly, in traumatic brain injury, recovery rates varied, with APOE ε4 carriers demonstrating a greater risk of poor long-term cognitive outcomes and elevated levels of neuropsychiatric symptoms. Furthermore, APOE ε4 influenced the age of onset and severity of stroke, as well as the likelihood of developing stroke-associated dementia, potentially due to its role in compromising endothelial integrity and promoting blood–brain barrier dysfunction.
基金supported by the Deanship of Scientific Research,Vice Presidency for Graduate Studies and Scientific Research,King Faisal University,Saudi Arabia,Grant No.KFU250098.
文摘In this study,an automated multimodal system for detecting,classifying,and dating fruit was developed using a two-stage YOLOv11 pipeline.In the first stage,the YOLOv11 detection model locates individual date fruits in real time by drawing bounding boxes around them.These bounding boxes are subsequently passed to a YOLOv11 classification model,which analyzes cropped images and assigns class labels.An additional counting module automatically tallies the detected fruits,offering a near-instantaneous estimation of quantity.The experimental results suggest high precision and recall for detection,high classification accuracy(across 15 classes),and near-perfect counting in real time.This paper presents a multi-stage pipeline for date fruit detection,classification,and automated counting,employing YOLOv11-based models to achieve high accuracy while maintaining real-time throughput.The results demonstrated that the detection precision exceeded 90%,the classification accuracy approached 92%,and the counting module correlated closely with the manual tallies.These findings confirm the potential of reducing manual labour and enhancing operational efficiency in post-harvesting processes.Future studies will include dataset expansion,user-centric interfaces,and integration with harvesting robotics.
基金This study is financed by the European Union-NextGenerationEU,through the National Recovery and Resilience Plan of the Republic of Bulgaria,Project No.BG-RRP-2.013-0001.
文摘Covert timing channels(CTC)exploit network resources to establish hidden communication pathways,posing signi cant risks to data security and policy compliance.erefore,detecting such hidden and dangerous threats remains one of the security challenges. is paper proposes LinguTimeX,a new framework that combines natural language processing with arti cial intelligence,along with explainable Arti cial Intelligence(AI)not only to detect CTC but also to provide insights into the decision process.LinguTimeX performs multidimensional feature extraction by fusing linguistic attributes with temporal network patterns to identify covert channels precisely.LinguTimeX demonstrates strong e ectiveness in detecting CTC across multiple languages;namely English,Arabic,and Chinese.Speci cally,the LSTM and RNN models achieved F1 scores of 90%on the English dataset,89%on the Arabic dataset,and 88%on the Chinese dataset,showcasing their superior performance and ability to generalize across multiple languages. is highlights their robustness in detecting CTCs within security systems,regardless of the language or cultural context of the data.In contrast,the DeepForest model produced F1-scores ranging from 86%to 87%across the same datasets,further con rming its e ectiveness in CTC detection.Although other algorithms also showed reasonable accuracy,the LSTM and RNN models consistently outperformed them in multilingual settings,suggesting that deep learning models might be better suited for this particular problem.
基金funded by scientific research projects under Grant JY2024B011.
文摘With the increasing complexity of industrial automation,planetary gearboxes play a vital role in largescale equipment transmission systems,directly impacting operational efficiency and safety.Traditional maintenance strategies often struggle to accurately predict the degradation process of equipment,leading to excessive maintenance costs or potential failure risks.However,existing prediction methods based on statistical models are difficult to adapt to nonlinear degradation processes.To address these challenges,this study proposes a novel condition-based maintenance framework for planetary gearboxes.A comprehensive full-lifecycle degradation experiment was conducted to collect raw vibration signals,which were then processed using a temporal convolutional network autoencoder with multi-scale perception capability to extract deep temporal degradation features,enabling the collaborative extraction of longperiod meshing frequencies and short-term impact features from the vibration signals.Kernel principal component analysis was employed to fuse and normalize these features,enhancing the characterization of degradation progression.A nonlinear Wiener process was used to model the degradation trajectory,with a threshold decay function introduced to dynamically adjust maintenance strategies,and model parameters optimized through maximum likelihood estimation.Meanwhile,the maintenance strategy was optimized to minimize costs per unit time,determining the optimal maintenance timing and preventive maintenance threshold.The comprehensive indicator of degradation trends extracted by this method reaches 0.756,which is 41.2%higher than that of traditional time-domain features;the dynamic threshold strategy reduces the maintenance cost per unit time to 55.56,which is 8.9%better than that of the static threshold optimization.Experimental results demonstrate significant reductions in maintenance costs while enhancing system reliability and safety.This study realizes the organic integration of deep learning and reliability theory in the maintenance of planetary gearboxes,provides an interpretable solution for the predictive maintenance of complex mechanical systems,and promotes the development of condition-based maintenance strategies for planetary gearboxes.
基金supported by the National Natural Science Foundation of China(61471391)the China Postdoctoral Science Foundation(2013M542541)
文摘Based on the cognitive radar concept and the basic connotation of cognitive skywave over-the-horizon radar（SWOTHR）, the system structure and information processingmechanism about cognitive SWOTHR are researched. Amongthem, the hybrid network system architecture which is thedistributed configuration combining with the centralized cognition and its soft/hardware framework with the sense-detectionintegration are proposed, and the information processing framebased on the lens principle and its information processing flowwith receive-transmit joint adaption are designed, which buildand parse the work law for cognition and its self feedback adjustment with the lens focus model and five stages informationprocessing sequence. After that, the system simulation andthe performance analysis and comparison are provided, whichinitially proves the rationality and advantages of the proposedideas. Finally, four important development ideas of futureSWOTHR toward ＂high frequency intelligence information processing system＂ are discussed, which are scene information fusion, dynamic reconfigurable system, hierarchical and modulardesign, and sustainable development. Then the conclusion thatthe cognitive SWOTHR can cause the performance improvement is gotten.
文摘OBJECTIVE A causal relationshiphas been postulated between cholinergic dysfunction and the progression of cognitive decline in neurodegenerative disorders. However,the cause of the cognitive dysfunction remains unclear. METHODS Gab1^(loxP/loxP) were bred with ChAT-Cre mice to generate ChAT-Cre; Gab1^(f/f) mice. Excitability of cholinergic neurons wererecorded using whole-cel patch clump. A series of behavioral analyses were used to address the changes of cognitive function in ChAT-Cre; Gab1^(f/f) mice. Neurochemical changes on brain of conditional knockout mice were evaluated by using immunohistochemistry and Western blotting analysis. RESULTS Grb2-associated-binding protein 1(Gab1) is adocking/scaffolding molecule known to play an important role in cell growth and survival. Here,wereport that Gab1 is decreased in cholinergic neurons in a mousemodel of AD. We found that selective downregulation of Gab1 in the septum impaired learning and memory and hippocampal long-term potentiation,whereas overexpression of Gab1 in the same area rescued the cognitive deficitsseen in ChAT-Cre; Gab1^(f/f) and APP^(swe)/PS1 mice.^(18)F-FDGmicroP ET imaging data indicated that Gab1 treatment had no effect on metabolic activity of glucose in APPswe/PS1 mice. Moreover,we identify abnormal function of SKchannelscontributes to increased firing in cholinergic neuronsof ChAT-Cre; Gab1^(f/f) mice. CONCLUSION Gab1 signaling may serve as a potential treatment target for neurological disorders involving dysfunction of central cholinergic neurons.
基金Project(61673399)supported by the National Natural Science Foundation of ChinaProject(2017JJ2329)supported by the Natural Science Foundation of Hunan Province,ChinaProject(2018zzts550)supported by the Fundamental Research Funds for Central Universities,China
文摘The goethite iron precipitation process consists of several continuous reactors and involves a series of complex chemical reactions,such as oxidation reaction,hydrolysis reaction and neutralization reaction.It is hard to accurately establish a mathematical model of the process featured by strong nonlinearity,uncertainty and time-delay.A modeling method based on time-delay fuzzy gray cognitive network(T-FGCN)for the goethite iron precipitation process was proposed in this paper.On the basis of the process mechanism,experts’practical experience and historical data,the T-FGCN model of the goethite iron precipitation system was established and the weights were studied by using the nonlinear hebbian learning(NHL)algorithm with terminal constraints.By analyzing the system in uncertain environment of varying degrees,in the environment of high uncertainty,the T-FGCN can accurately simulate industrial systems with large time-delay and uncertainty and the simulated system can converge to steady state with zero gray scale or a small one.
文摘Previous studies have shown that increases in pupil size are correlated with increasing cognitive processing demands. Our aim was to confirm whether these findings could be replicated with new portable and less obtrusive eye-tracking technology. We assessed the percentage change of pupillary diameter from baseline as eight subjects completed a series of randomly ordered arithmetic problems of varying difficulty. The mean peak pupil diameter expressed as a percentage change from baseline was significantly greater when answering difficult questions compared to easier questions. Moreover, the time to reach peak pupillary diameter occurred significantly faster when participants answered easier questions compared to more difficult questions. Finally, there was a significant difference when all groups were compared to control. This experiment confirms findings of previous studies that show that pupillary size is related to cognitive processing demands. It also demonstrates that mobile eye-trackers can be used to reliably gather this type of data. Furthermore, this experiment provides the basis for future studies using eye-tracking technology in new environments, for example in the study of expertise and performance in medical crisis situations.
基金The study was reviewed and approved by the Institutional Review Board of Dushu Lake Hospital Affiliated to Soochow University.
文摘BACKGROUND The severe physical and psychological impact of pain on the physical and mental health of women during labor leads to increased risks and complications during childbirth,presenting a major public health concern.Some studies have shown that cognitive behavioral therapy(CBT)has a positive effect on maternal psychology during delivery,reducing stress and shortening labor time.Thus,CBT training for mothers and delivery room staff may be beneficial in minimizing complications and adverse effects during natural birth.AIM To investigate the clinical effects of CBT training and psychological care during delivery,and their therapeutic effects on women in labor.METHODS This study used a retrospective analysis and included 140 mothers admitted to the maternity ward between January 2021 and January 2023.The study subjects were randomized into two groups:control(n=70)and observation(n=70).Routine care,CBT training,and psychological care were provided to mothers in both groups.Psychological status scores,delivery time,and satisfaction with care pre-and post-delivery were compared,and the incidence of complications after receiving care was analyzed between the two groups.RESULTS Although the psychological state of both groups improved significantly in the late stages of labor,the psychological state scores of the mothers in the observation group were significantly lower than those of the mothers in the control group(P<0.05).The duration of labor and incidence of complications in the observation group were significantly lower than those in the control group(P<0.05).The mothers in the observation group were significantly more satisfied with nursing care during the course of labor than those in the control group(P<0.05).CONCLUSION CBT training and psychological care for mothers in the midwifery process can effectively improve anxiety and depression,shorten labor duration,reduce postnatal complications,and improve nursing satisfaction and nurse-patient relationships.Its clinical application is effective and has popularization value,providing a new way to protect maternal mental health.
文摘Although a large number of studies have focused on various aspects of politeness,very little is known about how politeness intention is activated cognitively during verbal communication.The present study aims to explore the cognitive mechanism of politeness intention processing,and how it is related to pragmatic failure during cross-cultural communication.Using 30 Chinese EFL university students who were instructed to finish a probe word judgment task with 96 virtual scenarios,the results indicate that within both mono-and cross-cultural contexts,the response time in the experimental scenarios was significantly slower than that of the filler scenarios.This suggests that politeness intention was activated while understanding the surface meaning of the conversation;however,the EFL learners could not completely avoid the negative transfer of their native politeness conventions when they were comprehending the conversational intention of the target language.Furthermore,no significant differences in response time were found between the groups with high and low English pragmatic competence,illustrating that transferring the pragmatic rules and principles into cross-cultural communication skills was more cognitively demanding.Overall,this study adds to the literature on politeness research and provides some implications for foreign language pragmatic instructions.
