Objectives This study aimed to design and evaluate a detection system for the accidental dislodgement of head-and-neck medical supplies through hand position recognition and tracking in Intensive Care Unit(ICU)patient...Objectives This study aimed to design and evaluate a detection system for the accidental dislodgement of head-and-neck medical supplies through hand position recognition and tracking in Intensive Care Unit(ICU)patients.Methods We conducted a single-center,prospective,parallel-group feasibility randomized controlled trial.We recruited 80 participants using convenience sampling from the ICU of a hospital in Ningbo City,Zhejiang Province,between March 2025 and June 2025,and they were randomly assigned to either the control group(routine care)or the intervention group(routine care plus image recognition-based detection system).The system continuously tracked patients’hand positions via bedside cameras and generated real-time alarms when hands entered predefined risk zones,notifying on-duty nurses to enable early intervention.System stability was assessed by continuous system uptime;system performance and clinical feasibility were evaluated by the frequencies of risk actions and accidental dislodgement of medical supplies(ADMS).Results All 80 participants completed the intervention,with 40 patients in each group.The baseline characteristics and median observation time of the two groups were balanced(intervention group:48 h/patient vs.control group:49 h/patient).Compared with the control group,the intervention group showed fewer ADMS(2/40 vs.9/40)and detected more risk actions per 100 h(36 vs.25);all system-detected events had corroborating images with complete concordance on manual review,and all nurse-recorded hand-contact events were accurately captured.Conclusions The study demonstrated that the image recognition-based detection system can function stably in clinical settings,providing accurate and continuous surveillance while supporting the early detection of risk actions.By reducing the observation burden and offering real-time cognitive support,the system complements routine nursing care and serves as an additional safety measure in ICU practice.With further optimization and larger multicenter validation,this approach could have the potential to make a significant contribution to the development of smart ICUs and the broader digital transformation of nursing care.展开更多
Objective Helicobacter pylori(HP)infection is associated with non-alcoholic fatty liver disease(NAFLD)and insulin resistance;however,the correlation between HP eradication and NAFLD remains controversial.This systemat...Objective Helicobacter pylori(HP)infection is associated with non-alcoholic fatty liver disease(NAFLD)and insulin resistance;however,the correlation between HP eradication and NAFLD remains controversial.This systematic review and meta-analysis examined the effect of HP treatment on clinical and laboratory parameters in NAFLD patients.Methods We conducted a literature search of the PubMed,Embase,Scopus,and Web of Science databases through Septem-ber 2023 for randomized controlled trials(RCTs)examining the effect of HP treatment on NAFLD patients versus lifestyle changes alone.The primary outcome was the change in steatosis parameters.The secondary endpoints were changes in anthropometric parameters,inflammatory markers(TNF-α),and metabolic parameters(fasting blood glucose,homeostasis model assessment of insulin resistance,AST/ALT,and lipid profile).The random effects model was used to calculate the standardized mean difference(SMD)with associated 95%confidence intervals(CIs)for our desired outcome.Results Four RCTs met our inclusion criteria.A total of 453 patients were included(mean age 42.8 years,58.5%males),228(50.3%)of whom were in the HP eradication group and 225(49.7%)of whom were in the lifestyle modification group.Compared with lifestyle modification alone,HP eradication had a significant effect on reducing liver steatosis and TNF-αlevels(SMD:-0.9;95%CI-14.67,-3.82,I^(2)=0%and SMD:-6.3;95%CI-9.04,-3.56,I^(2)=0%,respectively).No sig-nificant effect on other metabolic parameters was found.Conclusions HP eradication significantly reduced liver steatosis and TNF-αlevels in NAFLD patients.However,HP eradi-cation did not significantly affect other metabolic indices compared to lifestyle changes alone.展开更多
Dear Editor,This letter embarks on an examination of fixed-time stability(FxTS)for random nonlinear systems(RNSs)governed by random differential equations.This endeavor encompasses a multifaceted analysis of FxTS,comm...Dear Editor,This letter embarks on an examination of fixed-time stability(FxTS)for random nonlinear systems(RNSs)governed by random differential equations.This endeavor encompasses a multifaceted analysis of FxTS,commencing with its rigorous definition and its integration with Lyapunov theory,along which a consequential corollary emerges.Particularly,the positive definiteness of the expectation of settling time is established,and a less conservative upper bound is derived.The effectiveness of the proposed fixed-time theorem is verified by an example.展开更多
To enhance the efficiency of stochastic vibration analysis for the Train-Track-Bridge(TTB)coupled system,this paper proposes a prediction method based on a Genetic Algorithm-optimized Backpropagation(GA-BP)neural netw...To enhance the efficiency of stochastic vibration analysis for the Train-Track-Bridge(TTB)coupled system,this paper proposes a prediction method based on a Genetic Algorithm-optimized Backpropagation(GA-BP)neural network.First,initial track irregularity samples and random parameter sets of the Vehicle-Bridge System(VBS)are generated using the stochastic harmonic function method.Then,the stochastic dynamic responses corresponding to the sample sets are calculated using a developed stochastic vibration analysis model of the TTB system.The track irregularity data and vehicle-bridge random parameters are used as input variables,while the corresponding stochastic responses serve as output variables for training the BP neural network to construct the prediction model.Subsequently,the Genetic Algorithm(GA)is applied to optimize the BP neural network by considering the randomness in excitation and parameters of the TTB system,improving model accuracy.After optimization,the trained GA-BP model enables rapid and accurate prediction of vehicle-bridge responses.To validate the proposed method,predictions of vehicle-bridge responses under varying train speeds are compared with numerical simulation results.The findings demonstrate that the proposed method offers notable advantages in predicting the stochastic vibration response of high-speed railway TTB coupled systems.展开更多
In this paper,we establish some strong laws of large numbers,which are for nonindependent random variables under the framework of sublinear expectations.One of our main results is for blockwise m-dependent random vari...In this paper,we establish some strong laws of large numbers,which are for nonindependent random variables under the framework of sublinear expectations.One of our main results is for blockwise m-dependent random variables,and another is for sub-orthogonal random variables.Both extend the strong law of large numbers for independent random variables under sublinear expectations to the non-independent case.展开更多
BACKGROUND Systematic reviews(SRs)synthesize and evaluate data,mainly from randomized trials,which then guides the development of clinical recommendations in evidence-based medicine.However,the data and methodological...BACKGROUND Systematic reviews(SRs)synthesize and evaluate data,mainly from randomized trials,which then guides the development of clinical recommendations in evidence-based medicine.However,the data and methodological information in the included papers can often be lacking or unclear,and reviewers usually need to contact the authors of included studies for clarifications.Contacting authors is recommended,but it is unclear how often SR teams do it,or what the level of response is.AIM To investigate how often reviewers undertake contact with the authors of included randomized controlled trials(RCTs)for clarification on data and risk of bias concerns,to explore the factors that influence whether SR authors contact or do not contact the authors,and the content and level of responses.METHODS We conducted a systematic electronic database search in MEDLINE using the search string“(systematic review)”AND“(RCT OR randomized OR trial)”for articles published between 1 January 2024 and 19 February 2024,without language restrictions.Screening and data extraction was done independently by two reviewers,and conflicts resolved by a senior author.Contact authors of included SRs were contacted for clarifications.RESULTS Of the 329 included SRs,38%(n=125)explicitly mentioned contact with the authors of included studies.The remaining 62%(n=204)did not.We attempted contact with all SR teams for clarifications and received 90 responses(19.4%).Of the 50 respondents who did not explicitly mention contact in their SRs,25(50%)replied that they did make contact.We received a total of 64 responses on the level and content of information sought.The mean±SD contacts SR teams made were 10(10),replies received 5(6.7),and response waiting time 10.1(28.3)weeks.Resources,time,poor previous experience,perceived likelihood of poor response and bias concerns were reported as barriers to attempting contact.CONCLUSION The majority of SRs published in 2024 did not confirm seeking clarifying or missing information from primary study authors.However,SR teams reported that 50%of contacted primary authors respond.Additional research can clarify this rate of response and establish methods to increase the integration of this core methodological element in SRs.展开更多
Background:The use of inserted sham acupuncture as a placebo in randomized controlled trials(RCTs)is controversial,because it may produce specific effects that cause an underestimation of the effect of acupuncture tre...Background:The use of inserted sham acupuncture as a placebo in randomized controlled trials(RCTs)is controversial,because it may produce specific effects that cause an underestimation of the effect of acupuncture treatment.Objective:This systematic survey investigates the magnitude of insert-specific effects of sham acupuncture and whether they affect the estimation of acupuncture treatment effects.Search strategy:PubMed,Embase and Cochrane Central Register of Controlled Trials were searched to identify acupuncture RCTs from their inception until December 2022.Inclusion criteria:RCTs that evaluated the effects of acupuncture compared to sham acupuncture and no treatment.Data extraction and analysis:The total effect measured for an acupuncture treatment group in RCTs were divided into three components,including the natural history and/or regression to the mean effect(controlled for no-treatment group),the placebo effect,and the specific effect of acupuncture.The first two constituted the contextual effect of acupuncture,which is mimicked by a sham acupuncture treatment group.The proportion of acupuncture total effect size was considered to be 1.The proportion of natural history and/or regression to the mean effect(PNE)and proportional contextual effect(PCE)of included RCTs were pooled using meta-analyses with a random-effect model.The proportion of acupuncture placebo effect was the difference between PCE and PNE in RCTs with non-inserted sham acupuncture.The proportion of insert-specific effect of sham acupuncture(PIES)was obtained by subtracting the proportion of acupuncture placebo effect and PNE from PCE in RCTs with inserted sham acupuncture.The impact of PIES on the estimation of acupuncture's treatment effect was evaluated by quantifying the percentage of RCTs that the effect of outcome changed from no statistical difference to statistical difference after removing PIES in the included studies,and the impact of PIES was externally validated in other acupuncture RCTs with an inserted sham acupuncture group that were not used to calculate PIES.Results:This analysis included 32 studies with 5492 patients.The overall PNE was 0.335(95%confidence interval[CI],0.255-0.415)and the PCE of acupuncture was 0.639(95%CI,0.567-0.710)of acupuncture's total effect.The proportional contribution of the placebo effect to acupuncture's total effect was 0.191,and the PIES was 0.189.When we modeled the exclusion of the insert-specific effect of sham acupuncture,the acupuncture treatment effect changed from no difference to a significant difference in 45.45%of the included RCTs,and in 40.91%of the external validated RCTs.Conclusion:The insert-specific effect of sham acupuncture in RCTs represents 18.90%of acupuncture's total effect and significantly affects the evaluation of the acupuncture treatment effect.More than 40%of RCTs that used inserted sham acupuncture would draw different conclusions if the PIES had been controlled for.Considering the impact of the insert-specific effect of sham acupuncture,caution should be taken when using inserted sham acupuncture placebos in RCTs.展开更多
With the popularization of microgrid construction and the connection of renewable energy sources to the power system,the problem of source and load uncertainty faced by the coordinated operation of multi-microgrid is ...With the popularization of microgrid construction and the connection of renewable energy sources to the power system,the problem of source and load uncertainty faced by the coordinated operation of multi-microgrid is becoming increasingly prominent,and the accuracy of typical scenario predictions is low.In order to improve the accuracy of scenario prediction under source and load uncertainty,this paper proposes a typical scenario identification model based on random forests and order parameters.Firstly,a method for ordinal parameter identification and quantification is provided for the coordinated operating mode of multi-microgrids,taking into account source-load uncertainty.Secondly,the dynamic change characteristics of the order parameters of the daily load curve,wind and solar curve,and load curve of typical scenarios are statistically analyzed to identify the key order parameters that have the most significant impact on the uncertainty of the load.Then,the order parameters and seasonal distribution are used as features to train a random forest classification model to achieve efficient scenario prediction.Finally,the simulation of actual data from a provincial distribution network shows that the proposed method can accurately classify typical scenarios with an accuracy rate of 92.7%.Additionally,sensitivity analysis is conducted to assess how changes in uncertainty levels affect the importance of each order parameter,allowing for adaptive uncertainty mitigation strategies.展开更多
BACKGROUND Prolonged immobility during intensive care unit(ICU)admission has been a cause of muscle atrophy and worsening functional outcomes with longer recovery times.Prior research has demonstrated that mobilizatio...BACKGROUND Prolonged immobility during intensive care unit(ICU)admission has been a cause of muscle atrophy and worsening functional outcomes with longer recovery times.Prior research has demonstrated that mobilization within a week of ICU admission potentially benefits physical function in critically ill patients.AIM To evaluate the effects of initiating mobilization within 72 hours of ICU admission in critically ill patients through an updated systematic review and meta-analysis.METHODS A systematic search was performed through MEDLINE,Scopus,and Cochrane Library from inception until September 2024 for randomized controlled trials(RCTs)comparing early mobilization(EM)with usual or conventional care in critically ill adult patients.Primary outcomes included length of ICU(days)and ventilation duration(days).Secondary outcomes included muscle strength,functional status,adverse events,all-cause mortality,and quality of life(QOL).A random effects meta-analysis was performed for pooled effect estimates and to derive risk ratios(RR)and corresponding 95%confidence intervals(CI).RESULTS Out of 3487 results,16 RCTs were included with a population of 2385 patients(1195 receiving EM and 1190 with usual care.)A significant reduction in the length of ICU stays[mean difference(MD)=-1.02,95%CI:-1.96 to-0.09;P=0.03;I2=60%]and ventilation duration(MD=-1.07,95%CI:-1.91 to-0.23,P=0.01;I2=57%)was observed in the EM group compared to usual care.EM significantly improved muscle strength[standard MD(SMD)=0.47,95%CI:0.18-0.75,P=0.001;I2=79%]and functional status(SMD=0.70,95%CI:0.40-1.00,P<0.00001;I2=81%)in ICU patients.No statistically significant difference was observed in adverse events(RR=1.72,95%CI:1.01-2.94,P=0.05;I2=31%),all-cause mortality(RR=1.10,95%CI:0.79-1.53,P=0.57;I2=30%),and QOL(SMD=0.04,95%CI:-0.07-0.15,P=0.50;I2=9%)between the two groups.CONCLUSION Initiating mobilization within 72 hours of ICU admission is associated with improved functional outcomes and reduced ICU length of stay and ventilation duration.These findings indicate that EM may be a safe option for ICU patients,contributing to lower recovery times and healthcare costs.Further extensive research is required to validate the long-term effects on survival and QOL.展开更多
Classical computation of electronic properties in large-scale materials remains challenging.Quantum computation has the potential to offer advantages in memory footprint and computational scaling.However,general and v...Classical computation of electronic properties in large-scale materials remains challenging.Quantum computation has the potential to offer advantages in memory footprint and computational scaling.However,general and viable quantum algorithms for simulating large-scale materials are still limited.We propose and implement random-state quantum algorithms to calculate electronic-structure properties of real materials.Using a random state circuit on a small number of qubits,we employ real-time evolution with first-order Trotter decomposition and Hadamard test to obtain electronic density of states,and we develop a modified quantum phase estimation algorithm to calculate real-space local density of states via direct quantum measurements.Furthermore,we validate these algorithms by numerically computing the density of states and spatial distributions of electronic states in graphene,twisted bilayer graphene quasicrystals,and fractal lattices,covering system sizes from hundreds to thousands of atoms.Our results manifest that the random-state quantum algorithms provide a general and qubit-efficient route to scalable simulations of electronic properties in large-scale periodic and aperiodic materials.展开更多
In this paper,we propose a random access scheme termed sign-compute diversity slotted ALOHA(SCDSA).The SCDSA scheme combines diversity transmission with compute-and-forward.Without considering the capture effect and m...In this paper,we propose a random access scheme termed sign-compute diversity slotted ALOHA(SCDSA).The SCDSA scheme combines diversity transmission with compute-and-forward.Without considering the capture effect and multiple user detection techniques,our scheme can reach a high throughput of 0.98 without feedback under finite frame size settings,where the upper bound on performance is 1.Moreover,a lower bound on throughput performance is derived,which is tight in some parameter settings and can be used to approximate theoretical performance.Simulation results validate our analysis and confirm the advantages of our proposed scheme.展开更多
AIM:To investigate the causal effect of obesity on cataract risk and explores the potential mediating roles of metabolites using Mendelian randomization(MR).METHODS:Summary-level data from large-scale genome-wide asso...AIM:To investigate the causal effect of obesity on cataract risk and explores the potential mediating roles of metabolites using Mendelian randomization(MR).METHODS:Summary-level data from large-scale genome-wide association studies to examine the relationship between obesity and cataract were utilized.Obesity-related traits,including body mass index(BMI),waist-to-hip ratio(WHR),and waist circumference(WC).A two-sample MR approach was employed to assess the causal effect of obesity on cataract risk,while potential mediators were identified from suitable genome-wide association studies(GWAS)datasets.Additionally,a metabolic pathway analysis was conducted.RESULTS:An increase of 1 standard deviation(SD)in BMI,WHR,and WC was associated with a significantly higher risk of cataract(BMI:odds ratio(OR)1.0017,95%confidence interval(CI):1.0001-1.0032,P=0.0320;WHR:OR 1.0029,95%CI:1.0006-1.0051,P=0.0129;WC:OR 1.0020,95%CI:1.0001-1.0038,P=0.0390].These associations remained robust after adjusting for confounding factors in multivariable MR analysis.Furthermore,a two-step MR analysis identified eight potential metabolic mediators,with one mediator showing a significant causal role in the relationship between obesity and cataract.CONCLUSION:This work highlights the importance of addressing obesity as a modifiable risk factor for cataracts,particularly through metabolic pathways.展开更多
[Objectives]To investigate the potential causal relationship between psoriasis and common mental disorders,and to provide genetic epidemiological evidence for the early intervention of mental comorbidities.[Methods]Ba...[Objectives]To investigate the potential causal relationship between psoriasis and common mental disorders,and to provide genetic epidemiological evidence for the early intervention of mental comorbidities.[Methods]Based on publicly available large-scale GWAS data,a bidirectional Mendelian randomization(MR)approach was employed to assess the causal associations between psoriasis and major depressive disorder(MDD),bipolar disorder,schizophrenia,and anxiety disorders.The inverse variance weighted(IVW)method served as the primary analytical tool,supplemented by sensitivity analyses using MR-Egger and weighted median methods.Additionally,a subgroup analysis was conducted for psoriatic arthritis(PsA).[Results]Forward MR analysis revealed a significant positive causal association between the genetic predisposition to psoriasis and bipolar disorder as well as MDD,whereas no significant causal relationship was observed with schizophrenia or anxiety disorders.The reverse MR analysis found no causal effect of mental disorders on psoriasis.Subgroup analysis of PsA indicated that its genetic predisposition was significantly associated with the risk of bipolar disorder.The results of various sensitivity analyses and pleiotropy tests supported the robustness of the conclusions.[Conclusions]This study provides genetic evidence supporting a causal link between psoriasis and both MDD and bipolar disorder.In particular,patients with PsA are at a higher risk of developing bipolar disorder,highlighting the need to strengthen early screening and intervention for mental health in clinical management.展开更多
AIM:To explore the causal relationship between several possible behavioral factors and high myopia(HM)using multivariable Mendelian randomization(MVMR)approach and to find the mediators among them with mediation analy...AIM:To explore the causal relationship between several possible behavioral factors and high myopia(HM)using multivariable Mendelian randomization(MVMR)approach and to find the mediators among them with mediation analysis.METHODS:The causal effects of several behavioral factors,including screen time,education time,time spent outdoors,and physical activity,on the risk of HM using univariable Mendelian randomization(MR)and MVMR analyses were first assessed.Genome-wide association study summary statistics of serum metabolites were also used in mediation analysis to determine the extent to which serum metabolites mediate the effects of behavioral factors on HM.RESULTS:MR analyses indicated that both increased time spent outdoors and a higher frequency of moderate physical activity significantly reduced the risk of HM.Further MVMR analysis confirmed that moderate physical activity independently contributed to a lower risk of HM.Additionally,MR analyses identified 13 serum metabolites significantly associated with HM,of which 12 were lipids and one was an amino acid derivative.Mediation analysis revealed that six lipid metabolites mediated the protective effects of moderate physical activity on HM,with the highest mediation proportion observed for 1-(1-enyl-palmitoyl)-GPC(p-16:0;30.83%).CONCLUSION:This study suggests that in addition to outdoor time,moderate physical activity habits may have an independent protective effect against HM and pointed to lipid metabolites as priority targets for the prevention due to low physical activity.These results emphasize the importance of physical activity and metabolic health in HM and underscore the need for further study of these complex associations.展开更多
This paper introduces a framework for modeling random fields,with a particular emphasis on analyzing anisotropic spatial variability.It establishes a clear connection between the correlation function and the Kriging v...This paper introduces a framework for modeling random fields,with a particular emphasis on analyzing anisotropic spatial variability.It establishes a clear connection between the correlation function and the Kriging variogram across various anisotropic modes,providing mathematical models to enhance our understanding of random fields.A new anisotropy index,called LSAI,is introduced to quantify anisotropy based on the autocorrelation length and the orientation of the principal axes within the variogram.An LSAI value closer to one indicates a lower degree of anisotropy.The present study examines how the degree of anisotropy varies with different autocorrelation lengths and angles between the principal axes,providing valuable insights into these relationships.To improve the accuracy of parameter probability distribution estimations,this study integrates limited field test data using a Bayesian inference approach.Additionally,the Markov chain Monte Carlo simulation method is employed to develop a conditional random field(CRF)for the deformation modulus.By incorporating data from field bearing plate tests,the posterior variance data for the deformation modulus are derived.This process facilitates the construction of a detailed and reliable CRF for the deformation modulus.展开更多
Objective Previous studies link lower body mass index(BMI)with increased obsessive-compulsive disorder(OCD)risk,yet other body mass indicators may be more etioloically relevant.We dissected the causal association betw...Objective Previous studies link lower body mass index(BMI)with increased obsessive-compulsive disorder(OCD)risk,yet other body mass indicators may be more etioloically relevant.We dissected the causal association between body fat mass(FM)and OCD.Methods Summary statistics from genome-wide association studies of European ancestry were utilized to conduct two-sample Mendelian randomization analysis.Heterogeneity,horizontal pleiotropy,and sensitivity analyses were performed to assess the robustness.Results The inverse variance weighting method demonstrated that a genetically predicted decrease in FM was causally associated with an increased OCD risk[odds ratio(OR)=0.680,95%confidence interval(CI):0.528–0.875,P=0.003].Similar estimates were obtained using the weighted median approach(OR=0.633,95%CI:0.438–0.915,P=0.015).Each standard deviation increases in genetically predicted body fat percentage corresponded to a reduced OCD risk(OR=0.638,95%CI:0.455–0.896,P=0.009).The sensitivity analysis confirmed the robustness of these findings with no outlier instrument variables identified.Conclusion The negative causal association between FM and the risk of OCD suggests that the prevention or treatment of mental disorders should include not only the control of BMI but also fat distribution and body composition.展开更多
Stroke remains a leading cause of death and disability worldwide,and electroacupuncture has a long history of use in stroke treatment.This meta-analysis and systematic review aimed to evaluate the efficacy of electroa...Stroke remains a leading cause of death and disability worldwide,and electroacupuncture has a long history of use in stroke treatment.This meta-analysis and systematic review aimed to evaluate the efficacy of electroacupuncture and explore its potential mechanisms in animal models of ischemic stroke.The PubMed,EMBASE,Web of Science,CENTRAL,and CINAHL databases were comprehensively searched up to May 1,2024.This review included articles on preclinical investigations of the efficacy and mechanisms of electroacupuncture in treating ischemic stroke.Data from 70 eligible studies were analyzed in Stata 18.0,using a random-effects model to calculate the standardized mean difference(Hedge’s g).The risk of bias was assessed using RevMan 5.4 software,and the quality of evidence was rated according to the Grading of Recommendations,Assessment,Development,and Evaluation(GRADE)system.Subgroup analyses were conducted to test the consistency of the results and sensitivity analyses were used to assess their robustness.The quality assessment revealed that most studies adequately handled incomplete data and selective reporting.However,several methodological limitations were identified:only 4 studies demonstrated a low risk of allocation concealment,26 achieved a low risk of outcome assessment bias,and 9 had a high risk of randomization bias.Additionally,there was an unclear risk regarding participant blinding and other methodological aspects.The GRADE assessment rated 12 outcomes as moderate quality and 6 as low quality.The mechanisms of electroacupuncture treatment for ischemic stroke can be categorized as five primary pathways:(1)Electroacupuncture significantly reduced infarct volume and apoptotic cell death(P<0.01)in ischemic stroke models;(2)electroacupuncture significantly decreased the levels of pro-inflammatory factors(P<0.01)while increasing the levels of anti-inflammatory factors(P=0.02);(3)electroacupuncture reduced the levels of oxidative stress indicators(P<0.01)and enhanced the expression of antioxidant enzymes(P<0.01);(4)electroacupuncture significantly promoted nerve regeneration(P<0.01);and(5)electroacupuncture influenced blood flow remodeling(P<0.01)and angiogenesis(P<0.01).Subgroup analyses indicated that electroacupuncture was most effective in the transient middle cerebral artery occlusion model(P<0.01)and in post-middle cerebral artery occlusion intervention(P<0.01).Dispersive waves were found to outperform continuous waves with respect to neuroprotection and anti-inflammatory effects(P<0.01),while scalp acupoints demonstrated greater efficacy than body acupoints(P<0.01).The heterogeneity among the included studies was minimal,and sensitivity analyses indicated stable results.Their methodological quality was generally satisfactory.In conclusion,electroacupuncture is effective in treating cerebral ischemia by modulating cell apoptosis,oxidative stress,inflammation,stroke-induced nerve regeneration,blood flow remodeling,and angiogenesis.The efficacy of electroacupuncture may be influenced by factors such as the middle cerebral artery occlusion model,the timing of intervention onset,waveform,and acupoint selection.Despite the moderate to low quality of evidence,these findings suggest that electroacupuncture has clinical potential for improving outcomes in ischemic stroke.展开更多
The advent of 5G technology has significantly enhanced the transmission of images over networks,expanding data accessibility and exposure across various applications in digital technology and social media.Consequently...The advent of 5G technology has significantly enhanced the transmission of images over networks,expanding data accessibility and exposure across various applications in digital technology and social media.Consequently,the protection of sensitive data has become increasingly critical.Regardless of the complexity of the encryption algorithm used,a robust and highly secure encryption key is essential,with randomness and key space being crucial factors.This paper proposes a new Robust Deoxyribonucleic Acid(RDNA)nucleotide-based encryption method.The RDNA encryption method leverages the unique properties of DNA nucleotides,including their inherent randomness and extensive key space,to generate a highly secure encryption key.By employing transposition and substitution operations,the RDNA method ensures significant diffusion and confusion in the encrypted images.Additionally,it utilises a pseudorandom generation technique based on the random sequence of nucleotides in the DNA secret key.The performance of the RDNA encryption method is evaluated through various statistical and visual tests,and compared against established encryption methods such as 3DES,AES,and a DNA-based method.Experimental results demonstrate that the RDNA encryption method outperforms its rivals in the literature,and achieves superior performance in terms of information entropy,avalanche effect,encryption execution time,and correlation reduction,while maintaining competitive values for NMAE,PSNR,NPCR,and UACI.The high degree of randomness and sensitivity to key changes inherent in the RDNA method offers enhanced security,making it highly resistant to brute force and differential attacks.展开更多
Background Recent studies have suggested a potential role of the oral microbiome in the development of cardiovascular diseases.This study aims to investigate the association between oral microbiota and cardiovascular ...Background Recent studies have suggested a potential role of the oral microbiome in the development of cardiovascular diseases.This study aims to investigate the association between oral microbiota and cardiovascular disease risk,including atrial fibrillation,myocardial infarction,chronic heart failure,and hypertension.Methods We analyzed GWAS data from East Asian populations'oral microbiome,involving 2,017 tongue and 1,915 saliva samples from 2,984 individuals with whole-genome sequencing.Additionally,we sourced cardiovascular disease GWAS data from NBDC,including atrial fibrillation(8,180 cases,28,621 controls),myocardial infarction(14,992 cases,146,214 controls),chronic heart failure(10,540 cases,168,186 controls),and systolic blood pressure(145,505 individuals).Results Several oral microbiota taxa were found to be significantly associated with cardiovascular disease outcomes.Specific microbiota,such as Centipeda,Corynebacterium,and Pseudomonas E,were negatively correlated with heart failure.In contrast,taxa like Neisseria D and Actinomyces were associated with an increased risk of atrial fibrillation and myocardial infarction.Additionally,certain oral microbiota showed correlations with changes in blood pressure,highlighting their potential role in hypertension.Conclusion Our findings suggest that the oral microbiota may influence the development and progression of cardiovascular diseases,providing new insights into the potential impact of oral health on cardiovascular risk.展开更多
AIM:To investigate the potential causal associations between 41 inflammatory cytokines and myopia using a two-sample Mendelian randomization(MR)approach.METHODS:Publicly available genome-wide association study(GWAS)da...AIM:To investigate the potential causal associations between 41 inflammatory cytokines and myopia using a two-sample Mendelian randomization(MR)approach.METHODS:Publicly available genome-wide association study(GWAS)datasets were utilized for this two-sample MR analysis.Inflammatory cytokine-related GWAS data were extracted from The University of Bristol’s Research Data Repository,and myopia-related GWAS data were obtained from the FinnGen project.Single nucleotide polymorphisms(SNPs)associated with inflammatory cytokines were systematically selected as instrumental variables(IVs)based on three rigorous criteria:relevance,independence,and exclusion of pleiotropy.Five MR methods were employed for causal inference:the inverse-variance weighted(IVW)method as the primary analysis,supplemented by MREgger regression,weighted median estimator,simple mode,and weighted mode approaches.Sensitivity analyses were performed to evaluate the robustness of the causal estimates.RESULTS:A total of 773 myopia-associated SNPs were identified.MR analysis revealed that higher levels of macrophage inflammatory protein 1-α(MIP-1α)were associated with a 17%reduced risk of myopia[odds ratio(OR)=0.83;95%confidence interval(CI):0.69-0.99;P<0.05].In contrast,elevated levels of eotaxin(OR=1.26;95%CI:1.07-1.47;P<0.01),stromal cell-derived factor-1α(SDF-1α;OR=1.68;95%CI:1.08-2.62;P<0.05),and interleukin-2 receptor subunit alpha(IL-2Rα;OR=1.25;95%CI:1.01-1.53;P<0.05)were significantly associated with an increased risk of myopia.Sensitivity analyses confirmed the reliability of these results.CONCLUSION:This study provides evidence supporting a causal relationship between specific inflammatory cytokines and myopia.MIP-1αmay act as a protective factor against myopia,while eotaxin,SDF-1α,and IL-2Rαare potential risk factors for myopia.These findings emphasize the critical role of inflammatory pathways in the pathogenesis of myopia,offering novel insights for the development of preventive and therapeutic strategies for myopia.展开更多
文摘Objectives This study aimed to design and evaluate a detection system for the accidental dislodgement of head-and-neck medical supplies through hand position recognition and tracking in Intensive Care Unit(ICU)patients.Methods We conducted a single-center,prospective,parallel-group feasibility randomized controlled trial.We recruited 80 participants using convenience sampling from the ICU of a hospital in Ningbo City,Zhejiang Province,between March 2025 and June 2025,and they were randomly assigned to either the control group(routine care)or the intervention group(routine care plus image recognition-based detection system).The system continuously tracked patients’hand positions via bedside cameras and generated real-time alarms when hands entered predefined risk zones,notifying on-duty nurses to enable early intervention.System stability was assessed by continuous system uptime;system performance and clinical feasibility were evaluated by the frequencies of risk actions and accidental dislodgement of medical supplies(ADMS).Results All 80 participants completed the intervention,with 40 patients in each group.The baseline characteristics and median observation time of the two groups were balanced(intervention group:48 h/patient vs.control group:49 h/patient).Compared with the control group,the intervention group showed fewer ADMS(2/40 vs.9/40)and detected more risk actions per 100 h(36 vs.25);all system-detected events had corroborating images with complete concordance on manual review,and all nurse-recorded hand-contact events were accurately captured.Conclusions The study demonstrated that the image recognition-based detection system can function stably in clinical settings,providing accurate and continuous surveillance while supporting the early detection of risk actions.By reducing the observation burden and offering real-time cognitive support,the system complements routine nursing care and serves as an additional safety measure in ICU practice.With further optimization and larger multicenter validation,this approach could have the potential to make a significant contribution to the development of smart ICUs and the broader digital transformation of nursing care.
文摘Objective Helicobacter pylori(HP)infection is associated with non-alcoholic fatty liver disease(NAFLD)and insulin resistance;however,the correlation between HP eradication and NAFLD remains controversial.This systematic review and meta-analysis examined the effect of HP treatment on clinical and laboratory parameters in NAFLD patients.Methods We conducted a literature search of the PubMed,Embase,Scopus,and Web of Science databases through Septem-ber 2023 for randomized controlled trials(RCTs)examining the effect of HP treatment on NAFLD patients versus lifestyle changes alone.The primary outcome was the change in steatosis parameters.The secondary endpoints were changes in anthropometric parameters,inflammatory markers(TNF-α),and metabolic parameters(fasting blood glucose,homeostasis model assessment of insulin resistance,AST/ALT,and lipid profile).The random effects model was used to calculate the standardized mean difference(SMD)with associated 95%confidence intervals(CIs)for our desired outcome.Results Four RCTs met our inclusion criteria.A total of 453 patients were included(mean age 42.8 years,58.5%males),228(50.3%)of whom were in the HP eradication group and 225(49.7%)of whom were in the lifestyle modification group.Compared with lifestyle modification alone,HP eradication had a significant effect on reducing liver steatosis and TNF-αlevels(SMD:-0.9;95%CI-14.67,-3.82,I^(2)=0%and SMD:-6.3;95%CI-9.04,-3.56,I^(2)=0%,respectively).No sig-nificant effect on other metabolic parameters was found.Conclusions HP eradication significantly reduced liver steatosis and TNF-αlevels in NAFLD patients.However,HP eradi-cation did not significantly affect other metabolic indices compared to lifestyle changes alone.
基金supported by the National Natural Science Foundation of China(62103203).
文摘Dear Editor,This letter embarks on an examination of fixed-time stability(FxTS)for random nonlinear systems(RNSs)governed by random differential equations.This endeavor encompasses a multifaceted analysis of FxTS,commencing with its rigorous definition and its integration with Lyapunov theory,along which a consequential corollary emerges.Particularly,the positive definiteness of the expectation of settling time is established,and a less conservative upper bound is derived.The effectiveness of the proposed fixed-time theorem is verified by an example.
基金supported by the China State Railway Group Co.,Ltd.Science and Technology Research and Development Program Project(Grant No.L2024G007)the Natural Science Foundation of Hunan Province(Grant No.2024JJ5427)+1 种基金the National Natural Science Foundation of China(Grant No.52478321,52078485)the Science and Technology Research and Development Program Project of China Railway Group Limited(Grant No.2021-Special-08,2022-Key-06&2023-Key-22).
文摘To enhance the efficiency of stochastic vibration analysis for the Train-Track-Bridge(TTB)coupled system,this paper proposes a prediction method based on a Genetic Algorithm-optimized Backpropagation(GA-BP)neural network.First,initial track irregularity samples and random parameter sets of the Vehicle-Bridge System(VBS)are generated using the stochastic harmonic function method.Then,the stochastic dynamic responses corresponding to the sample sets are calculated using a developed stochastic vibration analysis model of the TTB system.The track irregularity data and vehicle-bridge random parameters are used as input variables,while the corresponding stochastic responses serve as output variables for training the BP neural network to construct the prediction model.Subsequently,the Genetic Algorithm(GA)is applied to optimize the BP neural network by considering the randomness in excitation and parameters of the TTB system,improving model accuracy.After optimization,the trained GA-BP model enables rapid and accurate prediction of vehicle-bridge responses.To validate the proposed method,predictions of vehicle-bridge responses under varying train speeds are compared with numerical simulation results.The findings demonstrate that the proposed method offers notable advantages in predicting the stochastic vibration response of high-speed railway TTB coupled systems.
文摘In this paper,we establish some strong laws of large numbers,which are for nonindependent random variables under the framework of sublinear expectations.One of our main results is for blockwise m-dependent random variables,and another is for sub-orthogonal random variables.Both extend the strong law of large numbers for independent random variables under sublinear expectations to the non-independent case.
文摘BACKGROUND Systematic reviews(SRs)synthesize and evaluate data,mainly from randomized trials,which then guides the development of clinical recommendations in evidence-based medicine.However,the data and methodological information in the included papers can often be lacking or unclear,and reviewers usually need to contact the authors of included studies for clarifications.Contacting authors is recommended,but it is unclear how often SR teams do it,or what the level of response is.AIM To investigate how often reviewers undertake contact with the authors of included randomized controlled trials(RCTs)for clarification on data and risk of bias concerns,to explore the factors that influence whether SR authors contact or do not contact the authors,and the content and level of responses.METHODS We conducted a systematic electronic database search in MEDLINE using the search string“(systematic review)”AND“(RCT OR randomized OR trial)”for articles published between 1 January 2024 and 19 February 2024,without language restrictions.Screening and data extraction was done independently by two reviewers,and conflicts resolved by a senior author.Contact authors of included SRs were contacted for clarifications.RESULTS Of the 329 included SRs,38%(n=125)explicitly mentioned contact with the authors of included studies.The remaining 62%(n=204)did not.We attempted contact with all SR teams for clarifications and received 90 responses(19.4%).Of the 50 respondents who did not explicitly mention contact in their SRs,25(50%)replied that they did make contact.We received a total of 64 responses on the level and content of information sought.The mean±SD contacts SR teams made were 10(10),replies received 5(6.7),and response waiting time 10.1(28.3)weeks.Resources,time,poor previous experience,perceived likelihood of poor response and bias concerns were reported as barriers to attempting contact.CONCLUSION The majority of SRs published in 2024 did not confirm seeking clarifying or missing information from primary study authors.However,SR teams reported that 50%of contacted primary authors respond.Additional research can clarify this rate of response and establish methods to increase the integration of this core methodological element in SRs.
基金the National Key R&D Program of China(No.2023YFC3503300 and No.2023YFC3503304)National Natural Science Foundation of China for Distinguished Young Scholars(No.82225049)and Youths(No.82305045)Fundamental Research Funds for the Central Public Welfare Research Institutes(No.2020YJSZX-3)。
文摘Background:The use of inserted sham acupuncture as a placebo in randomized controlled trials(RCTs)is controversial,because it may produce specific effects that cause an underestimation of the effect of acupuncture treatment.Objective:This systematic survey investigates the magnitude of insert-specific effects of sham acupuncture and whether they affect the estimation of acupuncture treatment effects.Search strategy:PubMed,Embase and Cochrane Central Register of Controlled Trials were searched to identify acupuncture RCTs from their inception until December 2022.Inclusion criteria:RCTs that evaluated the effects of acupuncture compared to sham acupuncture and no treatment.Data extraction and analysis:The total effect measured for an acupuncture treatment group in RCTs were divided into three components,including the natural history and/or regression to the mean effect(controlled for no-treatment group),the placebo effect,and the specific effect of acupuncture.The first two constituted the contextual effect of acupuncture,which is mimicked by a sham acupuncture treatment group.The proportion of acupuncture total effect size was considered to be 1.The proportion of natural history and/or regression to the mean effect(PNE)and proportional contextual effect(PCE)of included RCTs were pooled using meta-analyses with a random-effect model.The proportion of acupuncture placebo effect was the difference between PCE and PNE in RCTs with non-inserted sham acupuncture.The proportion of insert-specific effect of sham acupuncture(PIES)was obtained by subtracting the proportion of acupuncture placebo effect and PNE from PCE in RCTs with inserted sham acupuncture.The impact of PIES on the estimation of acupuncture's treatment effect was evaluated by quantifying the percentage of RCTs that the effect of outcome changed from no statistical difference to statistical difference after removing PIES in the included studies,and the impact of PIES was externally validated in other acupuncture RCTs with an inserted sham acupuncture group that were not used to calculate PIES.Results:This analysis included 32 studies with 5492 patients.The overall PNE was 0.335(95%confidence interval[CI],0.255-0.415)and the PCE of acupuncture was 0.639(95%CI,0.567-0.710)of acupuncture's total effect.The proportional contribution of the placebo effect to acupuncture's total effect was 0.191,and the PIES was 0.189.When we modeled the exclusion of the insert-specific effect of sham acupuncture,the acupuncture treatment effect changed from no difference to a significant difference in 45.45%of the included RCTs,and in 40.91%of the external validated RCTs.Conclusion:The insert-specific effect of sham acupuncture in RCTs represents 18.90%of acupuncture's total effect and significantly affects the evaluation of the acupuncture treatment effect.More than 40%of RCTs that used inserted sham acupuncture would draw different conclusions if the PIES had been controlled for.Considering the impact of the insert-specific effect of sham acupuncture,caution should be taken when using inserted sham acupuncture placebos in RCTs.
基金supported by Science and Technology Project Managed by the State Grid Jiangsu Electric Power Co.,Ltd.(No.J2024163).
文摘With the popularization of microgrid construction and the connection of renewable energy sources to the power system,the problem of source and load uncertainty faced by the coordinated operation of multi-microgrid is becoming increasingly prominent,and the accuracy of typical scenario predictions is low.In order to improve the accuracy of scenario prediction under source and load uncertainty,this paper proposes a typical scenario identification model based on random forests and order parameters.Firstly,a method for ordinal parameter identification and quantification is provided for the coordinated operating mode of multi-microgrids,taking into account source-load uncertainty.Secondly,the dynamic change characteristics of the order parameters of the daily load curve,wind and solar curve,and load curve of typical scenarios are statistically analyzed to identify the key order parameters that have the most significant impact on the uncertainty of the load.Then,the order parameters and seasonal distribution are used as features to train a random forest classification model to achieve efficient scenario prediction.Finally,the simulation of actual data from a provincial distribution network shows that the proposed method can accurately classify typical scenarios with an accuracy rate of 92.7%.Additionally,sensitivity analysis is conducted to assess how changes in uncertainty levels affect the importance of each order parameter,allowing for adaptive uncertainty mitigation strategies.
文摘BACKGROUND Prolonged immobility during intensive care unit(ICU)admission has been a cause of muscle atrophy and worsening functional outcomes with longer recovery times.Prior research has demonstrated that mobilization within a week of ICU admission potentially benefits physical function in critically ill patients.AIM To evaluate the effects of initiating mobilization within 72 hours of ICU admission in critically ill patients through an updated systematic review and meta-analysis.METHODS A systematic search was performed through MEDLINE,Scopus,and Cochrane Library from inception until September 2024 for randomized controlled trials(RCTs)comparing early mobilization(EM)with usual or conventional care in critically ill adult patients.Primary outcomes included length of ICU(days)and ventilation duration(days).Secondary outcomes included muscle strength,functional status,adverse events,all-cause mortality,and quality of life(QOL).A random effects meta-analysis was performed for pooled effect estimates and to derive risk ratios(RR)and corresponding 95%confidence intervals(CI).RESULTS Out of 3487 results,16 RCTs were included with a population of 2385 patients(1195 receiving EM and 1190 with usual care.)A significant reduction in the length of ICU stays[mean difference(MD)=-1.02,95%CI:-1.96 to-0.09;P=0.03;I2=60%]and ventilation duration(MD=-1.07,95%CI:-1.91 to-0.23,P=0.01;I2=57%)was observed in the EM group compared to usual care.EM significantly improved muscle strength[standard MD(SMD)=0.47,95%CI:0.18-0.75,P=0.001;I2=79%]and functional status(SMD=0.70,95%CI:0.40-1.00,P<0.00001;I2=81%)in ICU patients.No statistically significant difference was observed in adverse events(RR=1.72,95%CI:1.01-2.94,P=0.05;I2=31%),all-cause mortality(RR=1.10,95%CI:0.79-1.53,P=0.57;I2=30%),and QOL(SMD=0.04,95%CI:-0.07-0.15,P=0.50;I2=9%)between the two groups.CONCLUSION Initiating mobilization within 72 hours of ICU admission is associated with improved functional outcomes and reduced ICU length of stay and ventilation duration.These findings indicate that EM may be a safe option for ICU patients,contributing to lower recovery times and healthcare costs.Further extensive research is required to validate the long-term effects on survival and QOL.
基金supported by the Major Project for the Integration of ScienceEducation and Industry (Grant No.2025ZDZX02)。
文摘Classical computation of electronic properties in large-scale materials remains challenging.Quantum computation has the potential to offer advantages in memory footprint and computational scaling.However,general and viable quantum algorithms for simulating large-scale materials are still limited.We propose and implement random-state quantum algorithms to calculate electronic-structure properties of real materials.Using a random state circuit on a small number of qubits,we employ real-time evolution with first-order Trotter decomposition and Hadamard test to obtain electronic density of states,and we develop a modified quantum phase estimation algorithm to calculate real-space local density of states via direct quantum measurements.Furthermore,we validate these algorithms by numerically computing the density of states and spatial distributions of electronic states in graphene,twisted bilayer graphene quasicrystals,and fractal lattices,covering system sizes from hundreds to thousands of atoms.Our results manifest that the random-state quantum algorithms provide a general and qubit-efficient route to scalable simulations of electronic properties in large-scale periodic and aperiodic materials.
文摘In this paper,we propose a random access scheme termed sign-compute diversity slotted ALOHA(SCDSA).The SCDSA scheme combines diversity transmission with compute-and-forward.Without considering the capture effect and multiple user detection techniques,our scheme can reach a high throughput of 0.98 without feedback under finite frame size settings,where the upper bound on performance is 1.Moreover,a lower bound on throughput performance is derived,which is tight in some parameter settings and can be used to approximate theoretical performance.Simulation results validate our analysis and confirm the advantages of our proposed scheme.
基金Supported by the National Natural Science Foundation of China(No.82501261)Medical Research Projects of the Jiangsu Provincial Health Commission(No.M2024041).
文摘AIM:To investigate the causal effect of obesity on cataract risk and explores the potential mediating roles of metabolites using Mendelian randomization(MR).METHODS:Summary-level data from large-scale genome-wide association studies to examine the relationship between obesity and cataract were utilized.Obesity-related traits,including body mass index(BMI),waist-to-hip ratio(WHR),and waist circumference(WC).A two-sample MR approach was employed to assess the causal effect of obesity on cataract risk,while potential mediators were identified from suitable genome-wide association studies(GWAS)datasets.Additionally,a metabolic pathway analysis was conducted.RESULTS:An increase of 1 standard deviation(SD)in BMI,WHR,and WC was associated with a significantly higher risk of cataract(BMI:odds ratio(OR)1.0017,95%confidence interval(CI):1.0001-1.0032,P=0.0320;WHR:OR 1.0029,95%CI:1.0006-1.0051,P=0.0129;WC:OR 1.0020,95%CI:1.0001-1.0038,P=0.0390].These associations remained robust after adjusting for confounding factors in multivariable MR analysis.Furthermore,a two-step MR analysis identified eight potential metabolic mediators,with one mediator showing a significant causal role in the relationship between obesity and cataract.CONCLUSION:This work highlights the importance of addressing obesity as a modifiable risk factor for cataracts,particularly through metabolic pathways.
文摘[Objectives]To investigate the potential causal relationship between psoriasis and common mental disorders,and to provide genetic epidemiological evidence for the early intervention of mental comorbidities.[Methods]Based on publicly available large-scale GWAS data,a bidirectional Mendelian randomization(MR)approach was employed to assess the causal associations between psoriasis and major depressive disorder(MDD),bipolar disorder,schizophrenia,and anxiety disorders.The inverse variance weighted(IVW)method served as the primary analytical tool,supplemented by sensitivity analyses using MR-Egger and weighted median methods.Additionally,a subgroup analysis was conducted for psoriatic arthritis(PsA).[Results]Forward MR analysis revealed a significant positive causal association between the genetic predisposition to psoriasis and bipolar disorder as well as MDD,whereas no significant causal relationship was observed with schizophrenia or anxiety disorders.The reverse MR analysis found no causal effect of mental disorders on psoriasis.Subgroup analysis of PsA indicated that its genetic predisposition was significantly associated with the risk of bipolar disorder.The results of various sensitivity analyses and pleiotropy tests supported the robustness of the conclusions.[Conclusions]This study provides genetic evidence supporting a causal link between psoriasis and both MDD and bipolar disorder.In particular,patients with PsA are at a higher risk of developing bipolar disorder,highlighting the need to strengthen early screening and intervention for mental health in clinical management.
基金Supported by the Central High Level Hospital Clinical Research Funding(No.BJ-2024-089).
文摘AIM:To explore the causal relationship between several possible behavioral factors and high myopia(HM)using multivariable Mendelian randomization(MVMR)approach and to find the mediators among them with mediation analysis.METHODS:The causal effects of several behavioral factors,including screen time,education time,time spent outdoors,and physical activity,on the risk of HM using univariable Mendelian randomization(MR)and MVMR analyses were first assessed.Genome-wide association study summary statistics of serum metabolites were also used in mediation analysis to determine the extent to which serum metabolites mediate the effects of behavioral factors on HM.RESULTS:MR analyses indicated that both increased time spent outdoors and a higher frequency of moderate physical activity significantly reduced the risk of HM.Further MVMR analysis confirmed that moderate physical activity independently contributed to a lower risk of HM.Additionally,MR analyses identified 13 serum metabolites significantly associated with HM,of which 12 were lipids and one was an amino acid derivative.Mediation analysis revealed that six lipid metabolites mediated the protective effects of moderate physical activity on HM,with the highest mediation proportion observed for 1-(1-enyl-palmitoyl)-GPC(p-16:0;30.83%).CONCLUSION:This study suggests that in addition to outdoor time,moderate physical activity habits may have an independent protective effect against HM and pointed to lipid metabolites as priority targets for the prevention due to low physical activity.These results emphasize the importance of physical activity and metabolic health in HM and underscore the need for further study of these complex associations.
基金supported by the Doctoral Research Funds for Nanchang HangKong University,China(Grant No.EA202411211)support is gratefully acknowledged.
文摘This paper introduces a framework for modeling random fields,with a particular emphasis on analyzing anisotropic spatial variability.It establishes a clear connection between the correlation function and the Kriging variogram across various anisotropic modes,providing mathematical models to enhance our understanding of random fields.A new anisotropy index,called LSAI,is introduced to quantify anisotropy based on the autocorrelation length and the orientation of the principal axes within the variogram.An LSAI value closer to one indicates a lower degree of anisotropy.The present study examines how the degree of anisotropy varies with different autocorrelation lengths and angles between the principal axes,providing valuable insights into these relationships.To improve the accuracy of parameter probability distribution estimations,this study integrates limited field test data using a Bayesian inference approach.Additionally,the Markov chain Monte Carlo simulation method is employed to develop a conditional random field(CRF)for the deformation modulus.By incorporating data from field bearing plate tests,the posterior variance data for the deformation modulus are derived.This process facilitates the construction of a detailed and reliable CRF for the deformation modulus.
基金supported by the Yanzhao Gold Talent Project of Hebei Province(NO.HJZD202506)。
文摘Objective Previous studies link lower body mass index(BMI)with increased obsessive-compulsive disorder(OCD)risk,yet other body mass indicators may be more etioloically relevant.We dissected the causal association between body fat mass(FM)and OCD.Methods Summary statistics from genome-wide association studies of European ancestry were utilized to conduct two-sample Mendelian randomization analysis.Heterogeneity,horizontal pleiotropy,and sensitivity analyses were performed to assess the robustness.Results The inverse variance weighting method demonstrated that a genetically predicted decrease in FM was causally associated with an increased OCD risk[odds ratio(OR)=0.680,95%confidence interval(CI):0.528–0.875,P=0.003].Similar estimates were obtained using the weighted median approach(OR=0.633,95%CI:0.438–0.915,P=0.015).Each standard deviation increases in genetically predicted body fat percentage corresponded to a reduced OCD risk(OR=0.638,95%CI:0.455–0.896,P=0.009).The sensitivity analysis confirmed the robustness of these findings with no outlier instrument variables identified.Conclusion The negative causal association between FM and the risk of OCD suggests that the prevention or treatment of mental disorders should include not only the control of BMI but also fat distribution and body composition.
基金supported by the National Natural Science Foundation of China,Nos.82174496(to NW),82374574(to NW),82302865(to LL)Shanghai Science and Technology Committee Sailing Program,Nos.23YF1403800(to LL),23YF1405200(to YX)Shanghai Hospital Development Center Foundation-Shanghai Municipal Hospital Rehabilitation Medicine Specialty Alliance,No.SHDC22023304(to YW).
文摘Stroke remains a leading cause of death and disability worldwide,and electroacupuncture has a long history of use in stroke treatment.This meta-analysis and systematic review aimed to evaluate the efficacy of electroacupuncture and explore its potential mechanisms in animal models of ischemic stroke.The PubMed,EMBASE,Web of Science,CENTRAL,and CINAHL databases were comprehensively searched up to May 1,2024.This review included articles on preclinical investigations of the efficacy and mechanisms of electroacupuncture in treating ischemic stroke.Data from 70 eligible studies were analyzed in Stata 18.0,using a random-effects model to calculate the standardized mean difference(Hedge’s g).The risk of bias was assessed using RevMan 5.4 software,and the quality of evidence was rated according to the Grading of Recommendations,Assessment,Development,and Evaluation(GRADE)system.Subgroup analyses were conducted to test the consistency of the results and sensitivity analyses were used to assess their robustness.The quality assessment revealed that most studies adequately handled incomplete data and selective reporting.However,several methodological limitations were identified:only 4 studies demonstrated a low risk of allocation concealment,26 achieved a low risk of outcome assessment bias,and 9 had a high risk of randomization bias.Additionally,there was an unclear risk regarding participant blinding and other methodological aspects.The GRADE assessment rated 12 outcomes as moderate quality and 6 as low quality.The mechanisms of electroacupuncture treatment for ischemic stroke can be categorized as five primary pathways:(1)Electroacupuncture significantly reduced infarct volume and apoptotic cell death(P<0.01)in ischemic stroke models;(2)electroacupuncture significantly decreased the levels of pro-inflammatory factors(P<0.01)while increasing the levels of anti-inflammatory factors(P=0.02);(3)electroacupuncture reduced the levels of oxidative stress indicators(P<0.01)and enhanced the expression of antioxidant enzymes(P<0.01);(4)electroacupuncture significantly promoted nerve regeneration(P<0.01);and(5)electroacupuncture influenced blood flow remodeling(P<0.01)and angiogenesis(P<0.01).Subgroup analyses indicated that electroacupuncture was most effective in the transient middle cerebral artery occlusion model(P<0.01)and in post-middle cerebral artery occlusion intervention(P<0.01).Dispersive waves were found to outperform continuous waves with respect to neuroprotection and anti-inflammatory effects(P<0.01),while scalp acupoints demonstrated greater efficacy than body acupoints(P<0.01).The heterogeneity among the included studies was minimal,and sensitivity analyses indicated stable results.Their methodological quality was generally satisfactory.In conclusion,electroacupuncture is effective in treating cerebral ischemia by modulating cell apoptosis,oxidative stress,inflammation,stroke-induced nerve regeneration,blood flow remodeling,and angiogenesis.The efficacy of electroacupuncture may be influenced by factors such as the middle cerebral artery occlusion model,the timing of intervention onset,waveform,and acupoint selection.Despite the moderate to low quality of evidence,these findings suggest that electroacupuncture has clinical potential for improving outcomes in ischemic stroke.
文摘The advent of 5G technology has significantly enhanced the transmission of images over networks,expanding data accessibility and exposure across various applications in digital technology and social media.Consequently,the protection of sensitive data has become increasingly critical.Regardless of the complexity of the encryption algorithm used,a robust and highly secure encryption key is essential,with randomness and key space being crucial factors.This paper proposes a new Robust Deoxyribonucleic Acid(RDNA)nucleotide-based encryption method.The RDNA encryption method leverages the unique properties of DNA nucleotides,including their inherent randomness and extensive key space,to generate a highly secure encryption key.By employing transposition and substitution operations,the RDNA method ensures significant diffusion and confusion in the encrypted images.Additionally,it utilises a pseudorandom generation technique based on the random sequence of nucleotides in the DNA secret key.The performance of the RDNA encryption method is evaluated through various statistical and visual tests,and compared against established encryption methods such as 3DES,AES,and a DNA-based method.Experimental results demonstrate that the RDNA encryption method outperforms its rivals in the literature,and achieves superior performance in terms of information entropy,avalanche effect,encryption execution time,and correlation reduction,while maintaining competitive values for NMAE,PSNR,NPCR,and UACI.The high degree of randomness and sensitivity to key changes inherent in the RDNA method offers enhanced security,making it highly resistant to brute force and differential attacks.
基金supported by the National Natural Science Foundation of China(Grant No.82500432)the Heilongjiang Provincial Health Commission Scientific Research Project(Grant No.20240303010111).
文摘Background Recent studies have suggested a potential role of the oral microbiome in the development of cardiovascular diseases.This study aims to investigate the association between oral microbiota and cardiovascular disease risk,including atrial fibrillation,myocardial infarction,chronic heart failure,and hypertension.Methods We analyzed GWAS data from East Asian populations'oral microbiome,involving 2,017 tongue and 1,915 saliva samples from 2,984 individuals with whole-genome sequencing.Additionally,we sourced cardiovascular disease GWAS data from NBDC,including atrial fibrillation(8,180 cases,28,621 controls),myocardial infarction(14,992 cases,146,214 controls),chronic heart failure(10,540 cases,168,186 controls),and systolic blood pressure(145,505 individuals).Results Several oral microbiota taxa were found to be significantly associated with cardiovascular disease outcomes.Specific microbiota,such as Centipeda,Corynebacterium,and Pseudomonas E,were negatively correlated with heart failure.In contrast,taxa like Neisseria D and Actinomyces were associated with an increased risk of atrial fibrillation and myocardial infarction.Additionally,certain oral microbiota showed correlations with changes in blood pressure,highlighting their potential role in hypertension.Conclusion Our findings suggest that the oral microbiota may influence the development and progression of cardiovascular diseases,providing new insights into the potential impact of oral health on cardiovascular risk.
文摘AIM:To investigate the potential causal associations between 41 inflammatory cytokines and myopia using a two-sample Mendelian randomization(MR)approach.METHODS:Publicly available genome-wide association study(GWAS)datasets were utilized for this two-sample MR analysis.Inflammatory cytokine-related GWAS data were extracted from The University of Bristol’s Research Data Repository,and myopia-related GWAS data were obtained from the FinnGen project.Single nucleotide polymorphisms(SNPs)associated with inflammatory cytokines were systematically selected as instrumental variables(IVs)based on three rigorous criteria:relevance,independence,and exclusion of pleiotropy.Five MR methods were employed for causal inference:the inverse-variance weighted(IVW)method as the primary analysis,supplemented by MREgger regression,weighted median estimator,simple mode,and weighted mode approaches.Sensitivity analyses were performed to evaluate the robustness of the causal estimates.RESULTS:A total of 773 myopia-associated SNPs were identified.MR analysis revealed that higher levels of macrophage inflammatory protein 1-α(MIP-1α)were associated with a 17%reduced risk of myopia[odds ratio(OR)=0.83;95%confidence interval(CI):0.69-0.99;P<0.05].In contrast,elevated levels of eotaxin(OR=1.26;95%CI:1.07-1.47;P<0.01),stromal cell-derived factor-1α(SDF-1α;OR=1.68;95%CI:1.08-2.62;P<0.05),and interleukin-2 receptor subunit alpha(IL-2Rα;OR=1.25;95%CI:1.01-1.53;P<0.05)were significantly associated with an increased risk of myopia.Sensitivity analyses confirmed the reliability of these results.CONCLUSION:This study provides evidence supporting a causal relationship between specific inflammatory cytokines and myopia.MIP-1αmay act as a protective factor against myopia,while eotaxin,SDF-1α,and IL-2Rαare potential risk factors for myopia.These findings emphasize the critical role of inflammatory pathways in the pathogenesis of myopia,offering novel insights for the development of preventive and therapeutic strategies for myopia.
