Dear Editor,Sleep deprivation and loss can have detrimental effects on brain function.Among common patterns of sleep loss are delayed sleep onset(early night sleep loss,EL)and premature awakening(late night sleep loss...Dear Editor,Sleep deprivation and loss can have detrimental effects on brain function.Among common patterns of sleep loss are delayed sleep onset(early night sleep loss,EL)and premature awakening(late night sleep loss,LL).Here,we investigated the distinct impacts of EL and LL on resting-state brain activity.A total of 100 healthy students from several universities in Beijing were recruited and randomly assigned to one of three groups:EL,LL,or full sleep(FS).Restingstate functional magnetic resonance imaging(rs-fMRI)scans were conducted following the sleep manipulations.Compared to the FS group,the LL group showed abnormal low-frequency fluctuation(fALFF)in the prefrontal cortex and insula.展开更多
Endoscopic submucosal dissection(ESD)has emerged as a pivotal therapeutic modality for early gastrointestinal(GI)cancers,providing a minimally invasive approach with curative potential.This technique enables the en bl...Endoscopic submucosal dissection(ESD)has emerged as a pivotal therapeutic modality for early gastrointestinal(GI)cancers,providing a minimally invasive approach with curative potential.This technique enables the en bloc resection of neoplastic lesions confined to the mucosa and submucosa,thereby preserving organ function and reducing the need for more radical surgical interventions.ESD provides diagnostic clarity and enhances patient survival rates when performed by skilled practitioners in the early stages of GI cancers such as esophageal,gastric,and colorectal carcinomas.This article examines the indications,procedural advancements,technical considerations,and outcomes associated with ESD in early GI cancers.The challenges and complications that can arise are also highlighted.Additionally,we discuss the evolving role of novel techniques and adjunctive therapies to improve safety and efficacy.As the field progresses,ESD remains a cornerstone in managing early GI cancers,offering patients a promising option for organ preservation and long-term survival.展开更多
BACKGROUND Inappropriate selection of patients with early gastric cancer(EGC)for endoscopic submucosal dissection(ESD)may lead to non-curative resection,necessitating additional gastrectomy.Conversely,inappropriate se...BACKGROUND Inappropriate selection of patients with early gastric cancer(EGC)for endoscopic submucosal dissection(ESD)may lead to non-curative resection,necessitating additional gastrectomy.Conversely,inappropriate selection for gastrectomy may result in overtreatment,adversely affecting patients’quality of life.Few have systematically evaluated the concordance between therapeutic indications under current Japanese guidelines and pathological criteria in EGC.To minimize noncurative resection risks while sparing unnecessary surgery for low-risk patients’,we specifically assess the suitability of Japanese guidelines in non-Japanese populations.This work aims to optimize clinical practice by refining endoscopic treatment criteria for adoption beyond Japan.AIM To evaluate EGC clinical decision accuracy by comparing therapeutic indication with postoperative pathological criteria and analyzing factors influencing discrepancies.METHODS A retrospective analysis was conducted on 796 EGC cases diagnosed at Peking University Third Hospital between January 2010 and December 2022.Cases were categorized into three groups:Same-estimated(preoperative therapeutic indication with postoperative pathological criteria matched),underestimated(preoperative ESD indication but postoperative surgical criteria),and overestimated(preoperative surgical indication but postoperative ESD criteria).The rate of discrepancy and associated risk factors were assessed.RESULTS The accuracy rates of preoperative evaluation for ESD and gastrectomy indications were 73.0%(321/430)and 76.0%(278/366),respectively.The overall discrepancy rate was 25.6%(204/796).Multivariate analysis identified tumor location in the upper-third stomach(odds ratio=2.158,95%confidence interval:1.373-3.390,P=0.001)was significantly associated with a higher likelihood of being underestimated and undifferentiated histologic type on preoperative biopsy(odds ratio=2.005,95%confidence interval:1.036-3.879,P=0.039)was more likely to be overestimated.Significant differences were observed in tumor diameter(P<0.001),depth of infiltration(P<0.001),ulcerative findings(P<0.001),and histologic type(P<0.001)between preoperative and postoperative evaluations.CONCLUSION The accuracy of preoperative EGC indications is 74.4%.Upper-third stomach and undifferentiated histology are primary discrepancy predictors.Upper-third tumors are prone to underestimation,while undifferentiated tumors are prone to overestimation.展开更多
BACKGROUND:Hemiplegia,a prevalent stroke-related condition,is often studied for motor dysfunction;however,spasticity remains under-researched.Abnormal muscle tone significantly hinders hemiplegic patients’walking rec...BACKGROUND:Hemiplegia,a prevalent stroke-related condition,is often studied for motor dysfunction;however,spasticity remains under-researched.Abnormal muscle tone significantly hinders hemiplegic patients’walking recovery.OBJECTIVE:To determine whether early suspension-protected training with a personal assistant machine for stroke patients enhances walking ability and prevents muscle spasms.METHODS:Thirty-two early-stage stroke patients from Shenzhen University General Hospital and the China Rehabilitation Research Center were randomly assigned to the experimental group(n=16)and the control group(n=16).Both groups underwent 4 weeks of gait training under the suspension protection system for 30 minutes daily,5 days a week.The experimental group used the personal assistant machine during training.Three-dimensional gait analysis(using the Cortex motion capture system),Brunnstrom staging,Fugl-Meyer Assessment for lower limb motor function,Fugl-Meyer balance function,and the modified Ashworth Scale were evaluated within 1 week before the intervention and after 4 weeks of intervention.RESULTS AND CONCLUSION:After the 4-week intervention,all outcome measures showed significant changes in each group.The experimental group had a small but significant increase in the modified Ashworth Scale score(P<0.05,d=|0.15|),while the control group had a large significant increase(P<0.05,d=|1.48|).The experimental group demonstrated greater improvements in walking speed(16.5 to 38.44 cm/s,P<0.05,d=|4.01|),step frequency(46.44 to 64.94 steps/min,P<0.05,d=|2.32|),stride length(15.50 to 29.81 cm,P<0.05,d=|3.44|),and peak hip and knee flexion(d=|1.82|to|2.17|).After treatment,the experimental group showed significantly greater improvements than the control group in walking speed(38.44 vs.26.63 cm/s,P<0.05,d=|2.75|),stride length,peak hip and knee flexion(d=|1.31|to|1.45|),step frequency(64.94 vs.59.38 steps/min,P<0.05,d=|0.85|),and a reduced support phase(bilateral:24.31%vs.28.38%,P<0.05,d=|0.88|;non-paretic:66.19%vs.70.13%,P<0.05,d=|0.94|).For early hemiplegia,personal assistant machine-assisted gait training under the suspension protection system helps establish a correct gait pattern,prevents muscle spasms,and improves motor function.展开更多
The increasing global prevalence of mild cognitive impairment(MCI)necessitates a paradigm shift in early detection strategies.Conventional neuropsychological assessment methods,predominantly paper-and-pencil tests suc...The increasing global prevalence of mild cognitive impairment(MCI)necessitates a paradigm shift in early detection strategies.Conventional neuropsychological assessment methods,predominantly paper-and-pencil tests such as the Mini-Mental State Examination and the Montreal Cognitive Assessment,exhibit inherent limitations with respect to accessibility,administration burden,and sensitivity to subtle cognitive decline,particularly among diverse populations.This commentary critically examines a recent study that champions a novel approach:The integration of gait and handwriting kinematic parameters analyzed via machine learning for MCI screening.The present study positions itself within the broader landscape of MCI detection,with a view to comparing its advantages against established neuropsychological batteries,advanced neuroimaging(e.g.,positron emission tomography,magnetic resonance imaging),and emerging fluid biomarkers(e.g.,cerebrospinal fluid,blood-based assays).While the study demonstrates promising accuracy(74.44%area under the curve 0.74 with gait and graphic handwriting)and addresses key unmet needs in accessibility and objectivity,we highlight its cross-sectional nature,limited sample diversity,and lack of dual-task assessment as areas for future refinement.This commentary posits that kinematic biomarkers offer a distinctive,scalable,and ecologically valid approach to widespread MCI screening,thereby complementing existing methods by providing real-world functional insights.Future research should prioritize longitudinal validation,expansion to diverse cohorts,integration with multimodal data including dual-tasking,and the development of highly portable,artificial intelligence-driven solutions to achieve the democratization of early MCI detection and enable timely interventions.展开更多
Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate ...Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate this challenge,we present an enhanced semi-supervised learning approach based on the Mean Teacher framework,incorporating a novel feature loss module to maximize classification performance with limited labeled samples.The model studies show that the proposed model surpasses both the baseline Mean Teacher model and fully supervised method in accuracy.Specifically,for datasets with 20%,30%,and 40%label ratios,using a single training iteration,the model yields accuracies of 78.61%,82.21%,and 85.2%,respectively,while multiple-cycle training iterations achieves 82.09%,81.97%,and 81.59%,respectively.Furthermore,scenario-specific training schemes are introduced to support diverse deployment need.These findings highlight the potential of the proposed technique in minimizing labeling requirements and advancing intelligent blast furnace diagnostics.展开更多
BACKGROUND The prevalence of negative emotional states,such as anxiety and depression,has increased annually.Although personal habits are known to influence emotional regulation,the precise mechanisms underlying this ...BACKGROUND The prevalence of negative emotional states,such as anxiety and depression,has increased annually.Although personal habits are known to influence emotional regulation,the precise mechanisms underlying this relationship remain unclear.AIM To investigate emotion regulation habits impact on students negative emotions during lockdown,using the coronavirus disease 2019 pandemic as a case example.METHODS During the coronavirus disease 2019 lockdown,an online cross-sectional survey was conducted at a Chinese university.Emotional states were assessed using the Depression,Anxiety,and Stress Scale-21(DASS-21),while demographic data and emotion regulation habits were collected concurrently.Data analysis was performed using SPSS version 27.0 and includedχ^(2)-tests for intergroup comparisons,Spearman’s rank-order correlation coefficient analysis to examine associations,and stepwise linear regression modeling to explore the relationships between emotion regulation habits and emotional states.Statistical significance was set atα=0.05.RESULTS Among the 494 valid questionnaires analyzed,the prevalence rates of negative emotional states were as follows:Depression(65.0%),anxiety(69.4%),and stress(50.8%).DASS-21 scores(mean±SD)demonstrated significant symptomatology:Total(48.77±34.88),depression(16.21±12.18),anxiety(14.90±11.91),and stress(17.64±12.07).Significant positive intercorrelations were observed among all DASS-21 subscales(P<0.01).Regression analysis identified key predictors of negative emotions(P<0.05):Risk factors included late-night frequency and academic pressure,while protective factors were the frequency of parental contact and the number of same-gender friends.Additionally,compensatory spending and binge eating positively predicted all negative emotion scores(β>0,P<0.01),whereas appropriate recreational activities negatively predicted these scores(β<0,P<0.01).CONCLUSION High negative emotion prevalence occurred among confined students.Recreational activities were protective,while compensatory spending and binge eating were risk factors,necessitating guided emotion regulation.展开更多
With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State I...With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State Information(CSI)offers fine-grained temporal,frequency,and spatial insights into multipath propagation,making it a crucial data source for human-centric sensing.Recently,the integration of deep learning has significantly improved the robustness and automation of feature extraction from CSI in complex environments.This paper provides a comprehensive review of deep learning-enhanced human sensing based on CSI.We first outline mainstream CSI acquisition tools and their hardware specifications,then provide a detailed discussion of preprocessing methods such as denoising,time–frequency transformation,data segmentation,and augmentation.Subsequently,we categorize deep learning approaches according to sensing tasks—namely detection,localization,and recognition—and highlight representative models across application scenarios.Finally,we examine key challenges including domain generalization,multi-user interference,and limited data availability,and we propose future research directions involving lightweight model deployment,multimodal data fusion,and semantic-level sensing.展开更多
Early life stress correlates with a higher prevalence of neurological disorders,including autism,attention-deficit/hyperactivity disorder,schizophrenia,depression,and Parkinson's disease.These conditions,primarily...Early life stress correlates with a higher prevalence of neurological disorders,including autism,attention-deficit/hyperactivity disorder,schizophrenia,depression,and Parkinson's disease.These conditions,primarily involving abnormal development and damage of the dopaminergic system,pose significant public health challenges.Microglia,as the primary immune cells in the brain,are crucial in regulating neuronal circuit development and survival.From the embryonic stage to adulthood,microglia exhibit stage-specific gene expression profiles,transcriptome characteristics,and functional phenotypes,enhancing the susceptibility to early life stress.However,the role of microglia in mediating dopaminergic system disorders under early life stress conditions remains poorly understood.This review presents an up-to-date overview of preclinical studies elucidating the impact of early life stress on microglia,leading to dopaminergic system disorders,along with the underlying mechanisms and therapeutic potential for neurodegenerative and neurodevelopmental conditions.Impaired microglial activity damages dopaminergic neurons by diminishing neurotrophic support(e.g.,insulin-like growth factor-1)and hinders dopaminergic axon growth through defective phagocytosis and synaptic pruning.Furthermore,blunted microglial immunoreactivity suppresses striatal dopaminergic circuit development and reduces neuronal transmission.Furthermore,inflammation and oxidative stress induced by activated microglia can directly damage dopaminergic neurons,inhibiting dopamine synthesis,reuptake,and receptor activity.Enhanced microglial phagocytosis inhibits dopamine axon extension.These long-lasting effects of microglial perturbations may be driven by early life stress–induced epigenetic reprogramming of microglia.Indirectly,early life stress may influence microglial function through various pathways,such as astrocytic activation,the hypothalamic–pituitary–adrenal axis,the gut–brain axis,and maternal immune signaling.Finally,various therapeutic strategies and molecular mechanisms for targeting microglia to restore the dopaminergic system were summarized and discussed.These strategies include classical antidepressants and antipsychotics,antibiotics and anti-inflammatory agents,and herbal-derived medicine.Further investigations combining pharmacological interventions and genetic strategies are essential to elucidate the causal role of microglial phenotypic and functional perturbations in the dopaminergic system disrupted by early life stress.展开更多
Aim： To identify the serum biomarkers of prostate cancer （PCa） by protein chip and bioinformatics. Methods： Serum samples from 83 PCa patients and 95 healthy men were taken from a mass screening in Changchun, Chin...Aim： To identify the serum biomarkers of prostate cancer （PCa） by protein chip and bioinformatics. Methods： Serum samples from 83 PCa patients and 95 healthy men were taken from a mass screening in Changchun, China. Protein profiling was carried out using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry （SELDI-TOF MS）. The data of spectra were analyzed using two bioinformatics tools. Results： Eighteen serum differential proteins were identified in the PCa group compared with the control group （P 〈 0.01）. There were four proteins at the higher serum level and 14 proteins at the lower serum level in the PCa group. A decision tree classification algorithm that used an eight-protein mass pattern was developed to correctly classify the samples. A sensitivity of 92.0 % and a specificity of 96.7 % for the study group were obtained by comparing the PCa and control groups. Conclusion： We identified new serum biomarkers of PCa. SELDI-TOF MS coupled with a decision tree classification algorithm will provide a highly accurate and innovative approach for the early diagnosis of PCa. （Asian J Androl 2006 Jan; 8： 45-51）展开更多
Fault prediction technology of running state of electromechanical systems is one of the key technologies that ensure safe and reliable operation of electromechanical equipment in health state. For multiple types of mo...Fault prediction technology of running state of electromechanical systems is one of the key technologies that ensure safe and reliable operation of electromechanical equipment in health state. For multiple types of modern, high-end and key electromechanical equipment, this paper will describe the early faults prediction method for multi-type electromechanical systems, which is favorable for predicting early faults of complex electromechanical systems in non-stationary, nonlinear, variable working conditions and long-time running state; the paper shall introduce the reconfigurable integration technology of series safety monitoring systems based on which the integrated development platform of series safety monitoring systems is built. This platform can adapt to integrated R&D of series safety monitoring systems characterized by high technology, multiple species and low volume. With the help of this platform, series safety monitoring systems were developed, and the Remote Network Security Monitoring Center for Facility Groups was built. Experimental research and engineering applications show that: this new fault prediction method has realized the development trend features extraction of typical electromechanical systems, multi-information fusion, intelligent information decision-making and so on, improving the processing accuracy, relevance and applicability of information; new reconfigurable integration technologies have improved the integration level and R&D efficiency of series safety monitoring systems as well as expanded the scope of application; the series safety monitoring systems developed based on reconfigurable integration platform has already played an important role in many aspects including ensuring safety operation of equipment, stabilizing product quality, optimizing running state, saving energy consumption, reducing environmental pollution, improving working conditions, carrying out scientific maintenance, advancing equipment utilization, saving maintenance charge and enhancing the level of information management.展开更多
An operating condition recognition approach of wind turbine spindle is proposed based on supervisory control and data acquisition(SCADA)normal data drive.Firstly,the SCADA raw data of wind turbine under full working c...An operating condition recognition approach of wind turbine spindle is proposed based on supervisory control and data acquisition(SCADA)normal data drive.Firstly,the SCADA raw data of wind turbine under full working conditions are cleaned and feature extracted.Then the spindle speed is employed as the output parameter,and the single and combined normal behavior model of the wind turbine spindle is constructed sequentially with the preprocessed data,with the evaluation indexes selected as the optimal model.Finally,calculating the spindle operation status index according to the slidingwindowprinciple,ascertaining the threshold value for identifying the abnormal spindle operation status by the hypothesis of small probability event,analyzing the 2.5 MW wind turbine SCADA data froma domestic wind field as a sample,The results show that the fault warning time of the early warningmodel is 5.7 h ahead of the actual fault occurrence time,as well as the identification and early warning of abnormal wind turbine spindle operationwithout abnormal data or a priori knowledge of related faults.展开更多
Patients with renal failure are at increased risk of cardiovascular events even at the earliest stages of disease. In addition to many classic cardiovascular risk factors, many conditions that are commonly identified ...Patients with renal failure are at increased risk of cardiovascular events even at the earliest stages of disease. In addition to many classic cardiovascular risk factors, many conditions that are commonly identified as emerging risk factors might contribute to occurrence of cardiovascular disease. Changes in circulating levels of many of these emerging risk factors have been demonstrated in patients with early stages of renal failure caused by different types of renal disease and have been associated with detection of cardiovascular complications. However, for most of these factors evidence of benefts of correction on cardiovascular outcome is missing. In this article, we comment on the role of lipoprotein（a） and prothrombotic factors as potential contributors to cardiovascular events in patients with early renal failure.展开更多
Prostate cancer （PCa） has become to have the highest incidence and the second mortality rate in western countries, affecting men＇s health to a large extent. Although prostate-specific antigen （PSA） was discovered...Prostate cancer （PCa） has become to have the highest incidence and the second mortality rate in western countries, affecting men＇s health to a large extent. Although prostate-specific antigen （PSA） was discovered to help diagnose the cancer in an early stage for decades, its specificity is relative low, resulting in unnecessary biopsy for healthy people and over-treatment for patients. Thus, it is imperative to identify more and more effective biomarkers for early diagnosis of PCa in order to distinguish patients from healthy populations, which helps guide an early treatment to lower disease-related mortality by noninvasive or minimal invasive approaches. This review generally describes the current early diagnostic biomarkers of PCa in addition to PSA and summarizes the advantages and disadvantages of these biomarkers.展开更多
We propose a scheme to generate polarization-entangled multiphoton Greenberger-Horne^Zeilinger （GHZ） states based on weak cross-Kerr nonlinearity and subsequent homodyne measurement. It can also be generalized to pr...We propose a scheme to generate polarization-entangled multiphoton Greenberger-Horne^Zeilinger （GHZ） states based on weak cross-Kerr nonlinearity and subsequent homodyne measurement. It can also be generalized to produce maximally N-qubit entangled states. The success probabilities of our schemes are almost equal to 1.展开更多
AIM: To assess an early termination of immune toler-ance state of chronic hepatitis B virus infection in Ban-gladesh and its clinical significance. METHODS: From a series of 167 treatment-naive chronic hepatitis B pat...AIM: To assess an early termination of immune toler-ance state of chronic hepatitis B virus infection in Ban-gladesh and its clinical significance. METHODS: From a series of 167 treatment-naive chronic hepatitis B patients aged between 12 to 20 years(mean ± SD; 17.5 ± 2.8 years), percutaneous liver biopsies of 89 patients who were all hepatitis B e antigen negative at presentation were done. Of them, 81 were included in the study. They had persistently normal or raised serum alanine aminotransferase(ALT) values. A precore mutation(PCM) study was accom-plished in 8 patients who were randomly selected. RESULTS: Forty-four(53.7%) patients had significant necroinflammation(HAI-NI > 7), while significant fi-brosis(HAI-F ≥ 3) was seen in 15(18.5%) patients. Serum ALT(cut off 42 U/L) was raised in 29(35.8%) patients, while low HBV DNA load(< 105 copies/mL)was observed in 57(70.4%) patients. PCM was nega-tive in all 8 patients. CONCLUSION: This study indicates that the current concept of age-related immune tolerance state of HBV infection deserves further analyses in different popula-tion groups.展开更多
In recent decades, acupuncture has been used more widely and extensively in the United States （U.S.）. However, there have been no national surveys or analyses reported in academic journals on the number of practicin...In recent decades, acupuncture has been used more widely and extensively in the United States （U.S.）. However, there have been no national surveys or analyses reported in academic journals on the number of practicing or licensed acupuncturists, This study was conducted to identify the approximate number of licensed acupuncturists active in 2015. The Board of Acupuncture or Board of Medicine in each state or U.S. territory was contacted to collect data, Online license information searching was also performed in order to get accurate numbers of licensed acupuncturists for those states in which a board was unable to be contacted. The study found that the number of licensed acupuncturists in 2015 in the U,S, was 34,481. Of this, more than 50% were licensed in three states alone： California （32.39%）, New York （11,89%） and Florida （7.06%）. The number of licensed acupuncturists increased 23.30% and 52.09%, compared to the year 2009 （n = 27,965） and 2004 （n = 22,671）, respectively; increasing about 1,266 per year. There were 62 and 10 accredited acupuncture institutions providing master and doctoral degrees, respectively. The West Coast comprised 51.39% of degree granting programs, while the East Coast comprised 29.17%; together the coastal states housed more than 80% of all programs, with the remainder sprinkled across the southern （9.72%）, northern （8.33%）, and the middle/central states （1.39%）. Forty-four states and the District of Columbia regulated acupuncture practice by law at the time of data collection. Acupuncture continues to be a quickly growing profession in the U.S,展开更多
A new method named the state space boundary element method （SSBEM） is estab- lished, in which the problem domain is divided into two parts. One is the boundary element domain which includes the interested inner poin...A new method named the state space boundary element method （SSBEM） is estab- lished, in which the problem domain is divided into two parts. One is the boundary element domain which includes the interested inner point, and the other is the state space domain. The boundary integral equation and the state space equation are combined together based on the interfacial continuity condition to form the system equation of the SSBEM. The SSBEM synthe- sizes both advantages of the boundary element method and the state space method. However, it can give inaccurate results when being used to evaluate the mechanical quantity of a point very close to the boundary element, because the Gaussian quadrature fails to calculate the nearly singular integrals. The analytical formulas were developed by part of the authors before intro- duced to deal with the nearly singular integrals. Thus, the SSBEM can yield accurate physical quantities for the points very close to the boundary element. The SSBEM results agree well with those of the finite element method （FEM）, while the discretized elements are far fewer than those of the FEM. Meanwhile, the SSBEM can analyze very thin coating, while the FEM fails due to the limitation of tolerance for Boolean operations.展开更多
The monitoring and warning of urban rail transit is the core of operation management, and the breadth and depth of the monitoring range directly affect the quality of urban rail transit operation. For the current dome...The monitoring and warning of urban rail transit is the core of operation management, and the breadth and depth of the monitoring range directly affect the quality of urban rail transit operation. For the current domestic monitoring system, most of the critical equipments and technologies are introduced from abroad;it is diseconomy, and also causes hidden danger. Realizing the localization of monitoring and early warning system is imperative. Based on the analysis of the present situation of urban rail transit operation safety at home and abroad, the paper proposes to use integrated technology to design basic framework of monitoring and warning system of urban rail train, and puts forward the critical technologies to realize the system. Compared with the existing monitoring system, the integrated monitoring system has the characteristics of wide monitoring range, clear division of labor, centralized management, coordination and integration operation and intelligent management, and embodies the concept of people-oriented. It has scientific significance for future construction of domestic Integrated Monitoring and Early Warning System (IMEWS) of urban rail transit.展开更多
基金supported by the STI2030-Major Projects(2021ZD0202100,2021ZD0200801,and 2021ZD0201900)the National Natural Science Foundation of China(82130040,82288101).
文摘Dear Editor,Sleep deprivation and loss can have detrimental effects on brain function.Among common patterns of sleep loss are delayed sleep onset(early night sleep loss,EL)and premature awakening(late night sleep loss,LL).Here,we investigated the distinct impacts of EL and LL on resting-state brain activity.A total of 100 healthy students from several universities in Beijing were recruited and randomly assigned to one of three groups:EL,LL,or full sleep(FS).Restingstate functional magnetic resonance imaging(rs-fMRI)scans were conducted following the sleep manipulations.Compared to the FS group,the LL group showed abnormal low-frequency fluctuation(fALFF)in the prefrontal cortex and insula.
文摘Endoscopic submucosal dissection(ESD)has emerged as a pivotal therapeutic modality for early gastrointestinal(GI)cancers,providing a minimally invasive approach with curative potential.This technique enables the en bloc resection of neoplastic lesions confined to the mucosa and submucosa,thereby preserving organ function and reducing the need for more radical surgical interventions.ESD provides diagnostic clarity and enhances patient survival rates when performed by skilled practitioners in the early stages of GI cancers such as esophageal,gastric,and colorectal carcinomas.This article examines the indications,procedural advancements,technical considerations,and outcomes associated with ESD in early GI cancers.The challenges and complications that can arise are also highlighted.Additionally,we discuss the evolving role of novel techniques and adjunctive therapies to improve safety and efficacy.As the field progresses,ESD remains a cornerstone in managing early GI cancers,offering patients a promising option for organ preservation and long-term survival.
基金Supported by China Health&Medical Development Foundation,No.M2021551.
文摘BACKGROUND Inappropriate selection of patients with early gastric cancer(EGC)for endoscopic submucosal dissection(ESD)may lead to non-curative resection,necessitating additional gastrectomy.Conversely,inappropriate selection for gastrectomy may result in overtreatment,adversely affecting patients’quality of life.Few have systematically evaluated the concordance between therapeutic indications under current Japanese guidelines and pathological criteria in EGC.To minimize noncurative resection risks while sparing unnecessary surgery for low-risk patients’,we specifically assess the suitability of Japanese guidelines in non-Japanese populations.This work aims to optimize clinical practice by refining endoscopic treatment criteria for adoption beyond Japan.AIM To evaluate EGC clinical decision accuracy by comparing therapeutic indication with postoperative pathological criteria and analyzing factors influencing discrepancies.METHODS A retrospective analysis was conducted on 796 EGC cases diagnosed at Peking University Third Hospital between January 2010 and December 2022.Cases were categorized into three groups:Same-estimated(preoperative therapeutic indication with postoperative pathological criteria matched),underestimated(preoperative ESD indication but postoperative surgical criteria),and overestimated(preoperative surgical indication but postoperative ESD criteria).The rate of discrepancy and associated risk factors were assessed.RESULTS The accuracy rates of preoperative evaluation for ESD and gastrectomy indications were 73.0%(321/430)and 76.0%(278/366),respectively.The overall discrepancy rate was 25.6%(204/796).Multivariate analysis identified tumor location in the upper-third stomach(odds ratio=2.158,95%confidence interval:1.373-3.390,P=0.001)was significantly associated with a higher likelihood of being underestimated and undifferentiated histologic type on preoperative biopsy(odds ratio=2.005,95%confidence interval:1.036-3.879,P=0.039)was more likely to be overestimated.Significant differences were observed in tumor diameter(P<0.001),depth of infiltration(P<0.001),ulcerative findings(P<0.001),and histologic type(P<0.001)between preoperative and postoperative evaluations.CONCLUSION The accuracy of preoperative EGC indications is 74.4%.Upper-third stomach and undifferentiated histology are primary discrepancy predictors.Upper-third tumors are prone to underestimation,while undifferentiated tumors are prone to overestimation.
文摘BACKGROUND:Hemiplegia,a prevalent stroke-related condition,is often studied for motor dysfunction;however,spasticity remains under-researched.Abnormal muscle tone significantly hinders hemiplegic patients’walking recovery.OBJECTIVE:To determine whether early suspension-protected training with a personal assistant machine for stroke patients enhances walking ability and prevents muscle spasms.METHODS:Thirty-two early-stage stroke patients from Shenzhen University General Hospital and the China Rehabilitation Research Center were randomly assigned to the experimental group(n=16)and the control group(n=16).Both groups underwent 4 weeks of gait training under the suspension protection system for 30 minutes daily,5 days a week.The experimental group used the personal assistant machine during training.Three-dimensional gait analysis(using the Cortex motion capture system),Brunnstrom staging,Fugl-Meyer Assessment for lower limb motor function,Fugl-Meyer balance function,and the modified Ashworth Scale were evaluated within 1 week before the intervention and after 4 weeks of intervention.RESULTS AND CONCLUSION:After the 4-week intervention,all outcome measures showed significant changes in each group.The experimental group had a small but significant increase in the modified Ashworth Scale score(P<0.05,d=|0.15|),while the control group had a large significant increase(P<0.05,d=|1.48|).The experimental group demonstrated greater improvements in walking speed(16.5 to 38.44 cm/s,P<0.05,d=|4.01|),step frequency(46.44 to 64.94 steps/min,P<0.05,d=|2.32|),stride length(15.50 to 29.81 cm,P<0.05,d=|3.44|),and peak hip and knee flexion(d=|1.82|to|2.17|).After treatment,the experimental group showed significantly greater improvements than the control group in walking speed(38.44 vs.26.63 cm/s,P<0.05,d=|2.75|),stride length,peak hip and knee flexion(d=|1.31|to|1.45|),step frequency(64.94 vs.59.38 steps/min,P<0.05,d=|0.85|),and a reduced support phase(bilateral:24.31%vs.28.38%,P<0.05,d=|0.88|;non-paretic:66.19%vs.70.13%,P<0.05,d=|0.94|).For early hemiplegia,personal assistant machine-assisted gait training under the suspension protection system helps establish a correct gait pattern,prevents muscle spasms,and improves motor function.
文摘The increasing global prevalence of mild cognitive impairment(MCI)necessitates a paradigm shift in early detection strategies.Conventional neuropsychological assessment methods,predominantly paper-and-pencil tests such as the Mini-Mental State Examination and the Montreal Cognitive Assessment,exhibit inherent limitations with respect to accessibility,administration burden,and sensitivity to subtle cognitive decline,particularly among diverse populations.This commentary critically examines a recent study that champions a novel approach:The integration of gait and handwriting kinematic parameters analyzed via machine learning for MCI screening.The present study positions itself within the broader landscape of MCI detection,with a view to comparing its advantages against established neuropsychological batteries,advanced neuroimaging(e.g.,positron emission tomography,magnetic resonance imaging),and emerging fluid biomarkers(e.g.,cerebrospinal fluid,blood-based assays).While the study demonstrates promising accuracy(74.44%area under the curve 0.74 with gait and graphic handwriting)and addresses key unmet needs in accessibility and objectivity,we highlight its cross-sectional nature,limited sample diversity,and lack of dual-task assessment as areas for future refinement.This commentary posits that kinematic biomarkers offer a distinctive,scalable,and ecologically valid approach to widespread MCI screening,thereby complementing existing methods by providing real-world functional insights.Future research should prioritize longitudinal validation,expansion to diverse cohorts,integration with multimodal data including dual-tasking,and the development of highly portable,artificial intelligence-driven solutions to achieve the democratization of early MCI detection and enable timely interventions.
基金financial support provided by the Natural Science Foundation of Hebei Province,China(No.E2024105036)the Tangshan Talent Funding Project,China(Nos.B202302007 and A2021110015)+1 种基金the National Natural Science Foundation of China(No.52264042)the Australian Research Council(No.IH230100010)。
文摘Automated classification of gas flow states in blast furnaces using top-camera imagery typically demands a large volume of labeled data,whose manual annotation is both labor-intensive and cost-prohibitive.To mitigate this challenge,we present an enhanced semi-supervised learning approach based on the Mean Teacher framework,incorporating a novel feature loss module to maximize classification performance with limited labeled samples.The model studies show that the proposed model surpasses both the baseline Mean Teacher model and fully supervised method in accuracy.Specifically,for datasets with 20%,30%,and 40%label ratios,using a single training iteration,the model yields accuracies of 78.61%,82.21%,and 85.2%,respectively,while multiple-cycle training iterations achieves 82.09%,81.97%,and 81.59%,respectively.Furthermore,scenario-specific training schemes are introduced to support diverse deployment need.These findings highlight the potential of the proposed technique in minimizing labeling requirements and advancing intelligent blast furnace diagnostics.
文摘BACKGROUND The prevalence of negative emotional states,such as anxiety and depression,has increased annually.Although personal habits are known to influence emotional regulation,the precise mechanisms underlying this relationship remain unclear.AIM To investigate emotion regulation habits impact on students negative emotions during lockdown,using the coronavirus disease 2019 pandemic as a case example.METHODS During the coronavirus disease 2019 lockdown,an online cross-sectional survey was conducted at a Chinese university.Emotional states were assessed using the Depression,Anxiety,and Stress Scale-21(DASS-21),while demographic data and emotion regulation habits were collected concurrently.Data analysis was performed using SPSS version 27.0 and includedχ^(2)-tests for intergroup comparisons,Spearman’s rank-order correlation coefficient analysis to examine associations,and stepwise linear regression modeling to explore the relationships between emotion regulation habits and emotional states.Statistical significance was set atα=0.05.RESULTS Among the 494 valid questionnaires analyzed,the prevalence rates of negative emotional states were as follows:Depression(65.0%),anxiety(69.4%),and stress(50.8%).DASS-21 scores(mean±SD)demonstrated significant symptomatology:Total(48.77±34.88),depression(16.21±12.18),anxiety(14.90±11.91),and stress(17.64±12.07).Significant positive intercorrelations were observed among all DASS-21 subscales(P<0.01).Regression analysis identified key predictors of negative emotions(P<0.05):Risk factors included late-night frequency and academic pressure,while protective factors were the frequency of parental contact and the number of same-gender friends.Additionally,compensatory spending and binge eating positively predicted all negative emotion scores(β>0,P<0.01),whereas appropriate recreational activities negatively predicted these scores(β<0,P<0.01).CONCLUSION High negative emotion prevalence occurred among confined students.Recreational activities were protective,while compensatory spending and binge eating were risk factors,necessitating guided emotion regulation.
基金supported by National Natural Science Foundation of China(NSFC)under grant U23A20310.
文摘With the growing advancement of wireless communication technologies,WiFi-based human sensing has gained increasing attention as a non-intrusive and device-free solution.Among the available signal types,Channel State Information(CSI)offers fine-grained temporal,frequency,and spatial insights into multipath propagation,making it a crucial data source for human-centric sensing.Recently,the integration of deep learning has significantly improved the robustness and automation of feature extraction from CSI in complex environments.This paper provides a comprehensive review of deep learning-enhanced human sensing based on CSI.We first outline mainstream CSI acquisition tools and their hardware specifications,then provide a detailed discussion of preprocessing methods such as denoising,time–frequency transformation,data segmentation,and augmentation.Subsequently,we categorize deep learning approaches according to sensing tasks—namely detection,localization,and recognition—and highlight representative models across application scenarios.Finally,we examine key challenges including domain generalization,multi-user interference,and limited data availability,and we propose future research directions involving lightweight model deployment,multimodal data fusion,and semantic-level sensing.
基金supported by the National Natural Science Foundation of China,Nos.82304990(to NY),81973748(to JC),82174278(to JC)the National Key R&D Program of China,No.2023YFE0209500(to JC)+4 种基金China Postdoctoral Science Foundation,No.2023M732380(to NY)Guangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine,No.202102010014(to JC)Huang Zhendong Research Fund for Traditional Chinese Medicine of Jinan University,No.201911(to JC)National Innovation and Entrepreneurship Training Program for Undergraduates in China,No.202310559128(to NY and QM)Innovation and Entrepreneurship Training Program for Undergraduates at Jinan University,Nos.CX24380,CX24381(both to NY and QM)。
文摘Early life stress correlates with a higher prevalence of neurological disorders,including autism,attention-deficit/hyperactivity disorder,schizophrenia,depression,and Parkinson's disease.These conditions,primarily involving abnormal development and damage of the dopaminergic system,pose significant public health challenges.Microglia,as the primary immune cells in the brain,are crucial in regulating neuronal circuit development and survival.From the embryonic stage to adulthood,microglia exhibit stage-specific gene expression profiles,transcriptome characteristics,and functional phenotypes,enhancing the susceptibility to early life stress.However,the role of microglia in mediating dopaminergic system disorders under early life stress conditions remains poorly understood.This review presents an up-to-date overview of preclinical studies elucidating the impact of early life stress on microglia,leading to dopaminergic system disorders,along with the underlying mechanisms and therapeutic potential for neurodegenerative and neurodevelopmental conditions.Impaired microglial activity damages dopaminergic neurons by diminishing neurotrophic support(e.g.,insulin-like growth factor-1)and hinders dopaminergic axon growth through defective phagocytosis and synaptic pruning.Furthermore,blunted microglial immunoreactivity suppresses striatal dopaminergic circuit development and reduces neuronal transmission.Furthermore,inflammation and oxidative stress induced by activated microglia can directly damage dopaminergic neurons,inhibiting dopamine synthesis,reuptake,and receptor activity.Enhanced microglial phagocytosis inhibits dopamine axon extension.These long-lasting effects of microglial perturbations may be driven by early life stress–induced epigenetic reprogramming of microglia.Indirectly,early life stress may influence microglial function through various pathways,such as astrocytic activation,the hypothalamic–pituitary–adrenal axis,the gut–brain axis,and maternal immune signaling.Finally,various therapeutic strategies and molecular mechanisms for targeting microglia to restore the dopaminergic system were summarized and discussed.These strategies include classical antidepressants and antipsychotics,antibiotics and anti-inflammatory agents,and herbal-derived medicine.Further investigations combining pharmacological interventions and genetic strategies are essential to elucidate the causal role of microglial phenotypic and functional perturbations in the dopaminergic system disrupted by early life stress.
文摘Aim： To identify the serum biomarkers of prostate cancer （PCa） by protein chip and bioinformatics. Methods： Serum samples from 83 PCa patients and 95 healthy men were taken from a mass screening in Changchun, China. Protein profiling was carried out using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry （SELDI-TOF MS）. The data of spectra were analyzed using two bioinformatics tools. Results： Eighteen serum differential proteins were identified in the PCa group compared with the control group （P 〈 0.01）. There were four proteins at the higher serum level and 14 proteins at the lower serum level in the PCa group. A decision tree classification algorithm that used an eight-protein mass pattern was developed to correctly classify the samples. A sensitivity of 92.0 % and a specificity of 96.7 % for the study group were obtained by comparing the PCa and control groups. Conclusion： We identified new serum biomarkers of PCa. SELDI-TOF MS coupled with a decision tree classification algorithm will provide a highly accurate and innovative approach for the early diagnosis of PCa. （Asian J Androl 2006 Jan; 8： 45-51）
基金Supported by National Natural Science Fund Project(51275052)Key project supported by Beijing Municipal Natural Science Foundation(3131002)Open topic of Key Laboratory of Key Laboratory of Modern Measurement & Control Technology,Ministry of Education(KF20141123202,KF20111123201)
文摘Fault prediction technology of running state of electromechanical systems is one of the key technologies that ensure safe and reliable operation of electromechanical equipment in health state. For multiple types of modern, high-end and key electromechanical equipment, this paper will describe the early faults prediction method for multi-type electromechanical systems, which is favorable for predicting early faults of complex electromechanical systems in non-stationary, nonlinear, variable working conditions and long-time running state; the paper shall introduce the reconfigurable integration technology of series safety monitoring systems based on which the integrated development platform of series safety monitoring systems is built. This platform can adapt to integrated R&D of series safety monitoring systems characterized by high technology, multiple species and low volume. With the help of this platform, series safety monitoring systems were developed, and the Remote Network Security Monitoring Center for Facility Groups was built. Experimental research and engineering applications show that: this new fault prediction method has realized the development trend features extraction of typical electromechanical systems, multi-information fusion, intelligent information decision-making and so on, improving the processing accuracy, relevance and applicability of information; new reconfigurable integration technologies have improved the integration level and R&D efficiency of series safety monitoring systems as well as expanded the scope of application; the series safety monitoring systems developed based on reconfigurable integration platform has already played an important role in many aspects including ensuring safety operation of equipment, stabilizing product quality, optimizing running state, saving energy consumption, reducing environmental pollution, improving working conditions, carrying out scientific maintenance, advancing equipment utilization, saving maintenance charge and enhancing the level of information management.
基金supported by the National Natural Science Foundation of China(No.51965034).
文摘An operating condition recognition approach of wind turbine spindle is proposed based on supervisory control and data acquisition(SCADA)normal data drive.Firstly,the SCADA raw data of wind turbine under full working conditions are cleaned and feature extracted.Then the spindle speed is employed as the output parameter,and the single and combined normal behavior model of the wind turbine spindle is constructed sequentially with the preprocessed data,with the evaluation indexes selected as the optimal model.Finally,calculating the spindle operation status index according to the slidingwindowprinciple,ascertaining the threshold value for identifying the abnormal spindle operation status by the hypothesis of small probability event,analyzing the 2.5 MW wind turbine SCADA data froma domestic wind field as a sample,The results show that the fault warning time of the early warningmodel is 5.7 h ahead of the actual fault occurrence time,as well as the identification and early warning of abnormal wind turbine spindle operationwithout abnormal data or a priori knowledge of related faults.
基金Supported by A European Cooperation in the field of Scientific and Technical Research(COST-BM1301)grant(to Catena C)a generous contribution of the Pier Silverio Nassimbeni Foundation(to Catena C and Sechi LA)
文摘Patients with renal failure are at increased risk of cardiovascular events even at the earliest stages of disease. In addition to many classic cardiovascular risk factors, many conditions that are commonly identified as emerging risk factors might contribute to occurrence of cardiovascular disease. Changes in circulating levels of many of these emerging risk factors have been demonstrated in patients with early stages of renal failure caused by different types of renal disease and have been associated with detection of cardiovascular complications. However, for most of these factors evidence of benefts of correction on cardiovascular outcome is missing. In this article, we comment on the role of lipoprotein（a） and prothrombotic factors as potential contributors to cardiovascular events in patients with early renal failure.
基金This study was supported by the National Basic Research Program of China （No. 2012CB518306）, the National Natural Science Foundation of China （No. 81101946）, the Prostate Cancer Foundation Young Investigator Award, and the Shanghai Pujiang Program （No. 12PJD008）.
文摘Prostate cancer （PCa） has become to have the highest incidence and the second mortality rate in western countries, affecting men＇s health to a large extent. Although prostate-specific antigen （PSA） was discovered to help diagnose the cancer in an early stage for decades, its specificity is relative low, resulting in unnecessary biopsy for healthy people and over-treatment for patients. Thus, it is imperative to identify more and more effective biomarkers for early diagnosis of PCa in order to distinguish patients from healthy populations, which helps guide an early treatment to lower disease-related mortality by noninvasive or minimal invasive approaches. This review generally describes the current early diagnostic biomarkers of PCa in addition to PSA and summarizes the advantages and disadvantages of these biomarkers.
基金supported by the National Natural Science Foundation of China (Grant No. 11074002)the Doctoral Foundation of the Ministry of Education of China (Grant No. 20103401110003)the Personal Development Foundation of Anhui Province ofChina (Grant No. 2008Z018)
文摘We propose a scheme to generate polarization-entangled multiphoton Greenberger-Horne^Zeilinger （GHZ） states based on weak cross-Kerr nonlinearity and subsequent homodyne measurement. It can also be generalized to produce maximally N-qubit entangled states. The success probabilities of our schemes are almost equal to 1.
文摘AIM: To assess an early termination of immune toler-ance state of chronic hepatitis B virus infection in Ban-gladesh and its clinical significance. METHODS: From a series of 167 treatment-naive chronic hepatitis B patients aged between 12 to 20 years(mean ± SD; 17.5 ± 2.8 years), percutaneous liver biopsies of 89 patients who were all hepatitis B e antigen negative at presentation were done. Of them, 81 were included in the study. They had persistently normal or raised serum alanine aminotransferase(ALT) values. A precore mutation(PCM) study was accom-plished in 8 patients who were randomly selected. RESULTS: Forty-four(53.7%) patients had significant necroinflammation(HAI-NI > 7), while significant fi-brosis(HAI-F ≥ 3) was seen in 15(18.5%) patients. Serum ALT(cut off 42 U/L) was raised in 29(35.8%) patients, while low HBV DNA load(< 105 copies/mL)was observed in 57(70.4%) patients. PCM was nega-tive in all 8 patients. CONCLUSION: This study indicates that the current concept of age-related immune tolerance state of HBV infection deserves further analyses in different popula-tion groups.
文摘In recent decades, acupuncture has been used more widely and extensively in the United States （U.S.）. However, there have been no national surveys or analyses reported in academic journals on the number of practicing or licensed acupuncturists, This study was conducted to identify the approximate number of licensed acupuncturists active in 2015. The Board of Acupuncture or Board of Medicine in each state or U.S. territory was contacted to collect data, Online license information searching was also performed in order to get accurate numbers of licensed acupuncturists for those states in which a board was unable to be contacted. The study found that the number of licensed acupuncturists in 2015 in the U,S, was 34,481. Of this, more than 50% were licensed in three states alone： California （32.39%）, New York （11,89%） and Florida （7.06%）. The number of licensed acupuncturists increased 23.30% and 52.09%, compared to the year 2009 （n = 27,965） and 2004 （n = 22,671）, respectively; increasing about 1,266 per year. There were 62 and 10 accredited acupuncture institutions providing master and doctoral degrees, respectively. The West Coast comprised 51.39% of degree granting programs, while the East Coast comprised 29.17%; together the coastal states housed more than 80% of all programs, with the remainder sprinkled across the southern （9.72%）, northern （8.33%）, and the middle/central states （1.39%）. Forty-four states and the District of Columbia regulated acupuncture practice by law at the time of data collection. Acupuncture continues to be a quickly growing profession in the U.S,
基金This work was supported by National Natural Science Foundation of China （No.11772114） and Grants from China Scholarship Council （No. 201706690019）.
文摘A new method named the state space boundary element method （SSBEM） is estab- lished, in which the problem domain is divided into two parts. One is the boundary element domain which includes the interested inner point, and the other is the state space domain. The boundary integral equation and the state space equation are combined together based on the interfacial continuity condition to form the system equation of the SSBEM. The SSBEM synthe- sizes both advantages of the boundary element method and the state space method. However, it can give inaccurate results when being used to evaluate the mechanical quantity of a point very close to the boundary element, because the Gaussian quadrature fails to calculate the nearly singular integrals. The analytical formulas were developed by part of the authors before intro- duced to deal with the nearly singular integrals. Thus, the SSBEM can yield accurate physical quantities for the points very close to the boundary element. The SSBEM results agree well with those of the finite element method （FEM）, while the discretized elements are far fewer than those of the FEM. Meanwhile, the SSBEM can analyze very thin coating, while the FEM fails due to the limitation of tolerance for Boolean operations.
文摘The monitoring and warning of urban rail transit is the core of operation management, and the breadth and depth of the monitoring range directly affect the quality of urban rail transit operation. For the current domestic monitoring system, most of the critical equipments and technologies are introduced from abroad;it is diseconomy, and also causes hidden danger. Realizing the localization of monitoring and early warning system is imperative. Based on the analysis of the present situation of urban rail transit operation safety at home and abroad, the paper proposes to use integrated technology to design basic framework of monitoring and warning system of urban rail train, and puts forward the critical technologies to realize the system. Compared with the existing monitoring system, the integrated monitoring system has the characteristics of wide monitoring range, clear division of labor, centralized management, coordination and integration operation and intelligent management, and embodies the concept of people-oriented. It has scientific significance for future construction of domestic Integrated Monitoring and Early Warning System (IMEWS) of urban rail transit.
