Objective:Knee osteoarthritis is one of the important causes of disability worldwide.This study aims to analyze the disease burden of knee osteoarthritis,attributable risk factors among Chinese residents from 1990 to ...Objective:Knee osteoarthritis is one of the important causes of disability worldwide.This study aims to analyze the disease burden of knee osteoarthritis,attributable risk factors among Chinese residents from 1990 to 2021,and predict the disease burden trend for 2035.Methods:Data related to knee osteoarthritis in China from 1990 to 2021,including the number of incident cases,incidence rate,number of prevalent cases,prevalence rate,and years lived with disability(YLDs),were collected from the Global Burden of Disease Study(GBD2021)database.Joinpoint regression analysis was used to assess time trends,and the Bayesian-Age-Period-Cohort(BAPC)regression model was employed for future predictions.Results:From 1990 to 2021,the number of incident cases of knee osteoarthritis among Chinese residents increased from 3.65 million to 8.51 million,a rise of 133.16%,with an average annual increase of 3.15%.The incidence rate increased from 310.33 per 100,000 to 598.31 per 100,000,a rise of 92.80%,with an average annual increase of 2.55%.The number of prevalent cases increased from 41.04 million to 110 million,a rise of 166.97%,with an average annual increase of 3.61%.The prevalence rate increased from 3488.78 per 100,000 to 7701.69 per 100,000,a rise of 120.76%,with an average annual increase of 3.00%.The number of YLDs increased from 1.34 million to 3.55 million,a rise of 165.32%,with an average annual increase of 3.59%.The YLD rate increased from 113.86 per 100,000 to 249.81 per 100,000,a rise of 119.39%,with an average annual increase of 2.99%.High BMI was the only significant attributable risk factor,with the proportion of YLDs it caused continuing to rise.Predictions for 2035:The number of incident cases is expected to decline slightly from 5.89 million in 2022 to 5.72 million in 2035.The number of prevalent cases is expected to peak at 72.42 million in 2029 and be around 72.69 million in 2035.The number of YLDs is expected to increase year by year,from 2.35 million in 2022 to 2.35 million in 2035.Conclusion:The study reveals the increasing prevalence and disease burden of knee osteoarthritis among Chinese residents,emphasizing the importance of interventions targeting controllable risk factors.Although the prediction shows a slight decline in the number of incident cases in 2035,the number of prevalent cases and years of disability are expected to remain high,indicating the need for continued monitoring and intervention.展开更多
Objective： To provide an evidence-based, consistent assessment of the burden of breast cancer attributable to reproductive factors （RFs, including nulliparity, mean number of children, age at first birth and breastf...Objective： To provide an evidence-based, consistent assessment of the burden of breast cancer attributable to reproductive factors （RFs, including nulliparity, mean number of children, age at first birth and breastfeeding）, use of oral contraceptives （OCs, restricted to the age group of 15-49 years）, and hormone replacement therapy （HRT）, as well as of the burden of ovarian cancer attributable to the mean number of children in China in 2005. Methods： We derived the prevalence of these risk factors and the relative risk of breast and ovarian cancer from national surveys or large-scale studies conducted in China. In the case of RFs, we compared the exposure distributions in 2001 and counterfactual exposure. Results： Exposure of RFs in 2002 was found to account for 6.74% of breast cancer, corresponding to 9,617 cases and 2,769 deaths, and for 2.78% of ovarian cancer （712 cases, 294 deaths）. The decrease in mean number of children alone was responsible for 1.47% of breast cancer and 2.78% of ovarian cancer. The prevalence of OC use was 1.74% and the population attributable fraction （PAF） of breast cancer was 0.71%, corresponding to 310 cases and 90 deaths. The PAF of breast cancer due to HRT was 0.31%, resulting in 297 cases and 85 deaths. Conclusion： RFs changes in China contributed to a sizable fraction of breast and ovarian cancer incidence and mortality, whereas HRT and OCs accounted for relatively low incidence of breast cancer in China.展开更多
Objective:There is little information about contributions of the well-known risk factors to the liver cancer burden.We conducted a comparative study to estimate the liver cancer burden attributable to major risk facto...Objective:There is little information about contributions of the well-known risk factors to the liver cancer burden.We conducted a comparative study to estimate the liver cancer burden attributable to major risk factors.Methods:Liver cancer deaths for adults were estimated from 978 county-level surveillance points in China in2014.Risk factors were identified from the International Agency for Research on Cancer and the World Cancer Research Fund International.Population attributable fraction(PAF)by age,sex,and province was calculated using multiple formulas.Results:In total,72.4%of liver cancer deaths could be attributable to the studied risk factors.Hepatitis B virus(HBV)was responsible for the largest fraction of liver cancer burden in both genders(PAF=55.6%in males,PAF=46.5%in females).PAFs for liver cancer burden attributable to smoking(15.7%vs.4.8%),and alcohol drinking(10.3%vs.1.6%)were significantly higher in males than in females.The burden of HBV-attributable deaths was the highest in Qinghai province.Conclusions:HBV still contributes to the majority of liver cancer burden than any other risk factors.Targeted preventive measures should be implemented based on the degree of contributions of risk factors to liver cancer deaths.展开更多
Objective： To evaluate the population attributable risks （PARs） between cigarette smoking and deaths of all causes, all cancers, lung cancer and other chronic diseases in urban Shanghai. Methods： In total, 61,480 ...Objective： To evaluate the population attributable risks （PARs） between cigarette smoking and deaths of all causes, all cancers, lung cancer and other chronic diseases in urban Shanghai. Methods： In total, 61,480 men aged 40-74 years from 2002 to 2006 and 74,941 women aged 40-70 years from 1997 to 2000 were recruited to undergo baseline surveys in urban Shanghai, with response rates of 74.0% and 92.3%, respectively. A Cox proportional hazards regression model was used to estimate relative risks （RRs） and 95% confidence intervals （95% CIs） of deaths associated with cigarette smoking. PARs and 95 % CIs for deaths were estimated from smoking exposure rates and the estimated RRs. Results： Cigarette smoking was responsible for 23.9% （95% CI： 19.4-28.3%） and 2.4% （95% Ch 1.6- 3.2%） of all deaths in men and women, respectively, in our study population. Respiratory disease had the highest PAR in men [37.5% （95% CI： 21.5-51.6%）], followed by cancer [31.3% （95% Ch 24.6-37.7%）] and cardiovascular disease （CVD） [24.1% （95% CI： 16.7-31.2%）]. While the top three PARs were 12.7% （95% CI： 6.1-19.3%）, 4.0% （95% CI： 2.4-5.6%）, and 1.1% （95% CI： 0.0-2.3%）, for respiratory disease, CVD, and cancer, respectively in women. For deaths of lung cancer, the PAR of smoking was 68.4% （95% CI： 58.2- 76.5%） in men. Conclusions： In urban Shanghai, 23.9% and 2.4% of all deaths in men and women could have been prevented if no people had smoked in the area. Effective control programs against cigarette smoking should be strongly advocated to reduce the increasing smoking-related death burden.展开更多
Objective：To provide an evidence-based and consistent assessment of the burden of cancer attributable to inadequate fruit and vegetable intake in China in 2005.Methods：The proportions of cancers attributable to low ...Objective：To provide an evidence-based and consistent assessment of the burden of cancer attributable to inadequate fruit and vegetable intake in China in 2005.Methods：The proportions of cancers attributable to low consumption of vegetable and fruit were calculated separately to estimate the burden of related cancers for the year 2005 in China.Data on the prevalence of exposure were derived from a Chinese nutrition and health survey.Data on relative risks were mainly derived from meta-analysis.Attributable fractions were calculated based on the counterfactual scenario which was a shift in the exposure distribution.Results：The total cancer burden attributable to inadequate consumption of fruit was up to 233,000 deaths （13.0% of all cancers） and 300,000 cases （11.6% of all cancers） in 2005.Increasing consumption of vegetable to the highest quintile could avoid total cancer deaths and cases by 3.6% （64,000 persons） and 3.4% （88,000 persons）.The contributions to cancer burden were higher in rural areas than in urban areas.They have greater influence on men than on women.The largest proportions of cancer burden attributable to low fruit and vegetable intake were for oral and pharyngeal cancers.Conclusion：This study showed that inadequate intake of fruit and vegetable makes a significant contribution to the cancer burden.Increasing consumption of fruit and vegetable could prevent many cancer deaths and save many lives.Promoting the consumption of fruit and vegetable is an important component in diet-based strategies for preventing cancer.展开更多
AIM To study the impact of hospital-acquired infections(HAIs)on cost and outcome from intensive care units(ICU)in India.METHODS Adult patients(>18 years)admitted over 1-year,to a 24-bed medical critical care unit i...AIM To study the impact of hospital-acquired infections(HAIs)on cost and outcome from intensive care units(ICU)in India.METHODS Adult patients(>18 years)admitted over 1-year,to a 24-bed medical critical care unit in India,were enrolled prospectively.Treatment cost and outcome data were collected.This cost data was merged with HAI data collected prospectively by the Hospital Infection Control Committee.Only infections occurring during ICU stay were included.The impact of HAI on treatment cost and mortality was assessed.RESULTS The mean(±SD)age of the cohort(n=499)was42.3±16.5 years.Acute physiology and chronic health evaluation-Ⅱscore was 13.9(95%CI:13.3-14.5);86%were ventilated.ICU and hospital length of stay were 7.8±5.5 and 13.9±10 d respectively.Hospital mortality was 27.9%.During ICU stay,76(15.3%)patients developed an infection(ventilator-associated pneumonia 50;bloodstream infection 35;urinary tract infections 3),translating to 19.7 infections/1000 ICU days.When compared with those who did not develop an infection,an infection occurring during ICU stay was associated with significantly higher treatment cost[median(inter-quartile range,IQR)INR 92893(USD 1523)(IQR 57168-140286)vs INR 180469(USD 2958)(IQR 140030-237525);P<0.001 and longer duration of ICU(6.7±4.5 d vs 13.4±7.0 d;P<0.01)and hospital stay(12.4±8.2 d vs 21.8±13.9 d;P<0.001)].However ICU acquired infections did not impact hospital mortality(31.6%vs 27.2%;P=0.49).CONCLUSION An infection acquired during ICU stay was associated with doubling of treatment cost and prolonged hospitalization but did not significantly increase mortality.展开更多
With the largest ageing population in the world,China is faced with the huge chal-lenge of dementia.-However,previously reported estimates on the prevalence of dementia among Chinese older adults were inconsistent,var...With the largest ageing population in the world,China is faced with the huge chal-lenge of dementia.-However,previously reported estimates on the prevalence of dementia among Chinese older adults were inconsistent,varying from 2%to 13%.5°It is crucial for dementia prevention to determine the number of cases that could be delayed or prevented,but how to do this remains unclear.To address these research gaps,we aimed to provide population estimates of the prevalence of dementia in China and estimate the population attributable fractions(PAFs)of potentially modifiable risk factors.展开更多
Effect sizes are estimated from several study designs when the subjects are individually sampled. When the samples are the aggregate cluster of individuals, the within cluster correlation must be accounted for to cons...Effect sizes are estimated from several study designs when the subjects are individually sampled. When the samples are the aggregate cluster of individuals, the within cluster correlation must be accounted for to construct correct confidence intervals, and to conduct valid statistical inference. The purpose of this article is to propose and evaluate statistical procedures for the estimation of the variance of the estimated attributable risk in parallel groups of clusters, and in a design dividing each of k clusters into two segments creating multiple sub-clusters. The estimated variance is the first order approximation and is obtained by the delta method. We apply the methodology and propose a Wald type confidence interval on the difference between two correlated attributable risks. We also construct a test on the hypothesis of equality of two correlated attributable risks. We evaluate the power of the proposed test via Monte-Carlo simulations.展开更多
Objective: This study aims to quantify the potential impact of controlling major risk factors on liver cancer deaths in China from 2021 to 2050 under various intervention scenarios.Methods: We developed a macro-level ...Objective: This study aims to quantify the potential impact of controlling major risk factors on liver cancer deaths in China from 2021 to 2050 under various intervention scenarios.Methods: We developed a macro-level simulation model based on comparative risk assessment to estimate population attributable fractions and avoidable liver cancer deaths. Risk factor prevalence data were obtained from national surveys and epidemiological estimates. Three intervention scenarios for each risk factor were projected:elimination(Scenario 1), ambitious reduction(Scenario 2), and manageable targets aligned with national/global goals(Scenario 3). The impact of secondary prevention through liver cancer screening at different coverage was evaluated.Results: Between 2021 and 2050, liver cancer deaths in China are projected to reach 9.44 million in males and4.29 million in females. Eliminating hepatitis B virus and hepatitis C virus could prevent 65.62%(57.47%-73.77%)and 28.47%(24.93%-32.00%) of liver cancer deaths, respectively. Achieving manageable targets in reducing the prevalence of smoking and alcohol drinking could prevent 6.57%(5.75%-7.38%) and 0.85%(0.75%-0.96%) of liver cancer deaths, with a more pronounced effect observed in males. Eliminating high body mass index(BMI)could avert 45,000 male and 25,000 female deaths annually by 2050, while diabetes elimination could prevent60,000 male and 21,000 female deaths. Secondary prevention through liver cancer screening with 80% coverage could reduce liver cancer deaths by 3.59%(3.14%-4.04%) for the total population. Combining all interventions under Scenario 1 could prevent up to 88.39%(76.65%-99.81%) of male and 77.80%(67.42%-87.88%) of female liver cancer deaths by 2050.Conclusions: Comprehensive risk factor control could prevent over 80% of liver cancer deaths in China by2050. Secondary prevention through screening may offer modest additional benefits. These findings provide strong quantitative support for targeted, evidence-based interventions and underscore the need for policy action to address key risk factors.展开更多
Extreme ozone pollution events(EOPEs)are associated with synoptic weather patterns(SWPs)and pose severe health and ecological risks.However,a systematic investigation of themeteorological causes,transport pathways,and...Extreme ozone pollution events(EOPEs)are associated with synoptic weather patterns(SWPs)and pose severe health and ecological risks.However,a systematic investigation of themeteorological causes,transport pathways,and source contributions to historical EOPEs is still lacking.In this paper,the K-means clustering method is applied to identify six dominant SWPs during the warm season in the Yangtze River Delta(YRD)region from 2016 to 2022.It provides an integrated analysis of the meteorological factors affecting ozone pollution in Hefei under different SWPs.Using the WRF-FLEXPART model,the transport pathways(TPPs)and geographical sources of the near-surface air masses in Hefei during EOPEs are investigated.The results reveal that Hefei experienced the highest ozone concentration(134.77±42.82μg/m^(3)),exceedance frequency(46 days(23.23%)),and proportion of EOPEs(21 instances,47.7%)under the control of peripheral subsidence of typhoon(Type 5).Regional southeast winds correlated with the ozone pollution in Hefei.During EOPEs,a high boundary layer height,solar radiation,and temperature;lowhumidity and cloud cover;and pronounced subsidence airflow occurred over Hefei and the broader YRD region.The East-South(E_S)patterns exhibited the highest frequency(28 instances,65.11%).Regarding the TPPs and geographical sources of the near-surface air masses during historical EOPEs.The YRD was the main source for land-originating air masses under E_S patterns(50.28%),with Hefei,southern Anhui,southern Jiangsu,and northern Zhejiang being key contributors.These findings can help improve ozone pollution early warning and control mechanisms at urban and regional scales.展开更多
BACKGROUND Not all neuropsychiatric(NP)manifestations in patients with systemic lupus erythematosus(SLE)are secondary to lupus.The clarification of the cause of NP symptoms influences therapeutic strategies for SLE.AI...BACKGROUND Not all neuropsychiatric(NP)manifestations in patients with systemic lupus erythematosus(SLE)are secondary to lupus.The clarification of the cause of NP symptoms influences therapeutic strategies for SLE.AIM To understand the attribution of psychiatric manifestations in a cohort of Chinese patients with SLE.METHODS This retrospective single-center study analyzed 160 inpatient medical records.Clinical diagnosis,which is considered the gold standard,was used to divide the subjects into a psychiatric SLE(PSLE)group(G1)and a secondary psychiatric symptoms group(G2).Clinical features were compared between these two groups.The sensitivity and specificity of the Italian attribution model were explored.RESULTS A total of 171 psychiatric syndromes were recorded in 138 patients,including 87 cases of acute confusional state,40 cases of cognitive dysfunction,18 cases of psychosis,and 13 cases each of depressive disorder and mania or hypomania.A total of 141(82.5%)syndromes were attributed to SLE.In contrast to G2 patients,G1 patients had higher SLE Disease Activity Index-2000 scores(21 vs 12,P=0.001),a lower prevalence of anti-beta-2-glycoprotein 1 antibodies(8.6%vs 25.9%,P=0.036),and a higher prevalence of anti-ribosomal ribonucleoprotein particle(rRNP)antibodies(39.0%vs 22.2%,P=0.045).The Italian attribution model exhibited a sensitivity of 95.0%and a specificity of 70.0%when the threshold value was set at 7.CONCLUSION Patients with PSLE exhibited increased disease activity.There is a correlation between PSLE and anti-rRNP antibodies.The Italian model effectively assesses multiple psychiatric manifestations in Chinese SLE patients who present with NP symptoms.展开更多
Population attributable fraction(PAF)refers to the proportion of all cases with a particular outcome in a population that could be prevented by eliminating a specific exposure.The authors of a recent paper evaluated t...Population attributable fraction(PAF)refers to the proportion of all cases with a particular outcome in a population that could be prevented by eliminating a specific exposure.The authors of a recent paper evaluated the prevalence and estimated the PAFs for risk factors of TB among elderly people in China[Inf Dis Poverty.2019;8:7].Confounding is inevitable in observational studies and Levin’s formula is of limited use in practice for unbiasedly estimating PAF.In a complex survey design,an unbiased estimation of the PAF can be calculated using a sample-weighted version of the Miettinen formula or a sample weighed parametric g-formula.With respect to causal interpretation of PAF in public health setting,computation of PAF is logical and practical when the exposure is amenable to intervention.展开更多
Knee osteoarthritis(KOA),characterized by heterogeneous arthritic manifestations and complex peripheral joint disorder,is one of the leading causes of disability worldwide,which has become a high burden due to the mul...Knee osteoarthritis(KOA),characterized by heterogeneous arthritic manifestations and complex peripheral joint disorder,is one of the leading causes of disability worldwide,which has become a high burden due to the multifactorial nature and the deficiency of available disease-modifying treatments.The application of mesenchymal stem/stromal cells(MSCs)as therapeutic drugs has provided novel treatment options for diverse degenerative and chronic diseases including KOA.However,the complexity and specificity of the“live”cells have posed challenges for MSC-based drug development and the concomitant scale-up preparation from laboratory to industrialization.For instance,despite the considerable progress in ex vivo cell culture technology for fulfilling the robust development of drug conversion and clinical trials,yet significant challenges remain in obtaining regulatory approvals.Thus,there’s an urgent need for the research and development of MSC drugs for KOA.In this review,we provide alternative solution strategies for the preparation of MSC drugs on the basis of the principle of quality by design,including designing the cell production processes,quality control,and clinical applications.In detail,we mainly focus on the quality by design method for MSC manufacturing in standard cell-culturing factories for the treatment of KOA by using the Quality Target Product Profile as a starting point to determine potential critical quality attributes and to establish relationships between critical material attributes and critical process parameters.Collectively,this review aims to meet product performance and robust process design,and should help to reduce the gap between compliant products and the production of compliant good manufacturing practice.展开更多
Security attributes are the premise and foundation for implementing Attribute-Based Access Control(ABAC)mechanisms.However,when dealing with massive volumes of unstructured text big data resources,the current attribut...Security attributes are the premise and foundation for implementing Attribute-Based Access Control(ABAC)mechanisms.However,when dealing with massive volumes of unstructured text big data resources,the current attribute management methods based on manual extraction face several issues,such as high costs for attribute extraction,long processing times,unstable accuracy,and poor scalability.To address these problems,this paper proposes an attribute mining technology for access control institutions based on hybrid capsule networks.This technology leverages transfer learning ideas,utilizing Bidirectional Encoder Representations from Transformers(BERT)pre-trained language models to achieve vectorization of unstructured text data resources.Furthermore,we have designed a novel end-to-end parallel hybrid network structure,where the parallel networks handle global and local information features of the text that they excel at,respectively.By employing techniques such as attention mechanisms,capsule networks,and dynamic routing,effective mining of security attributes for access control resources has been achieved.Finally,we evaluated the performance level of the proposed attribute mining method for access control institutions through experiments on the medical referral text resource dataset.The experimental results show that,compared with baseline algorithms,our method adopts a parallel network structure that can better balance global and local feature information,resulting in improved overall performance.Specifically,it achieves a comprehensive performance enhancement of 2.06%to 8.18%in the F1 score metric.Therefore,this technology can effectively provide attribute support for access control of unstructured text big data resources.展开更多
Delineation of hydrocarbon-bearing sands and the extent of accumulation using seismic data is a reoccurring challenge for many fields.This study addressed the existing challenges of delineating a known hydrocarbon reg...Delineation of hydrocarbon-bearing sands and the extent of accumulation using seismic data is a reoccurring challenge for many fields.This study addressed the existing challenges of delineating a known hydrocarbon region for a thin-pay reservoir using conventional attributes extraction methods.The efficacy of applying iso-frequency extraction and spectral frequency blending in identifying thin-pay and thick-pay reservoirs on seismic was tested by utilizing 3D seismic data and well logs data of Terra field in the Western Niger Delta Basin.Well tops of all the reservoirs in the field were picked and two reservoirs that correspond to thin-and thick-pay reservoirs,namely A and F were identified respectively.The gross pay thickness of reservoir A is 18 ft while that of reservoir F is 96 ft.Conventional attribute extraction such as RMS amplitude,minimum amplitude,and average energy can be used to identify the hydrocarbon-bearing region in reservoir F but was not applicable for identifying the thin-pay reservoir A.This prompted the interest of using iso-frequency extractions and spectral frequency blending of three iso-frequency cubes of 12 Hz,30 Hz,and 70 Hz to get a spectral frequency RGB cube.The 12 Hz isofrequency can be used to partially identify hydrocarbon-bearing region in reservoir A while the 30Hz iso-frequency can be used to partially identify hydrocarbon-bearing region in reservoir F.The results show that time slices from the spectral frequency blended cube were able to delineate both the thin-pay and thick-pay hydrocarbon-bearing regions as high amplitude.The extractions also conformed to the structure of the two reservoirs.However,there seems to be a color difference in the amplitude display for both reservoirs.The thick-pay reservoir showed a red color on the time slice while the thin-pay reservoir showed a green color.This study has shown that spectral frequency blending is a more effective tool than conventional attributes extractions in identifying hydrocarbon-bearing region using seismic data.The methodology utilized in this study can be applied to other fields with similar challenges and for identifying prospective hydrocarbon bearing areas.展开更多
Graph similarity learning aims to calculate the similarity between pairs of graphs.Existing unsupervised graph similarity learning methods based on contrastive learning encounter challenges related to random graph aug...Graph similarity learning aims to calculate the similarity between pairs of graphs.Existing unsupervised graph similarity learning methods based on contrastive learning encounter challenges related to random graph augmentation strategies,which can harm the semantic and structural information of graphs and overlook the rich structural information present in subgraphs.To address these issues,we propose a graph similarity learning model based on learnable augmentation and multi-level contrastive learning.First,to tackle the problem of random augmentation disrupting the semantics and structure of the graph,we design a learnable augmentation method to selectively choose nodes and edges within the graph.To enhance contrastive levels,we employ a biased random walk method to generate corresponding subgraphs,enriching the contrastive hierarchy.Second,to solve the issue of previous work not considering multi-level contrastive learning,we utilize graph convolutional networks to learn node representations of augmented views and the original graph and calculate the interaction information between the attribute-augmented and structure-augmented views and the original graph.The goal is to maximize node consistency between different views and learn node matching between different graphs,resulting in node-level representations for each graph.Subgraph representations are then obtained through pooling operations,and we conduct contrastive learning utilizing both node and subgraph representations.Finally,the graph similarity score is computed according to different downstream tasks.We conducted three sets of experiments across eight datasets,and the results demonstrate that the proposed model effectively mitigates the issues of random augmentation damaging the original graph’s semantics and structure,as well as the insufficiency of contrastive levels.Additionally,the model achieves the best overall performance.展开更多
Numerous experimental and theoretical investigations have highlighted the power law behavior of the proton structure function F_(2)(x,Q^(2)),particularly the dependence of its power constant on various kinematic varia...Numerous experimental and theoretical investigations have highlighted the power law behavior of the proton structure function F_(2)(x,Q^(2)),particularly the dependence of its power constant on various kinematic variables.In this study,we analyze the proton structure function F_(2)employing the analytical solution of the Balitsky–Kovchegov equation,with a focus on the high Q^(2)regime and small x domains.Our results indicate that as Q^(2)increases,the slope parameterλ,which characterizes the growth rate of F_(2),exhibits a gradual decrease,approaching a limiting value ofλ≈0.41±0.01 for large Q^(2).We suggest that this behavior ofλmay be attributed to mechanisms such as gluon overlap and the suppression of phase space growth.To substantiate these conclusions,further high-precision electron–ion collision experiments are required,encompassing a broad range of Q^(2)and x.展开更多
Studying runoff characteristics and quantifying human activities’impact on northern Shaanxi,a crucial mineral resource area in China,is crucial to alleviate water resource contradictions.In this study,hydrological el...Studying runoff characteristics and quantifying human activities’impact on northern Shaanxi,a crucial mineral resource area in China,is crucial to alleviate water resource contradictions.In this study,hydrological element trends were analyzed using theβ-z-h three-parameter indication method.The Mann-Kendall,Pettitt,moving T,and Yamamoto methods were used to test the mutation point of hydrological elements.The Budyko framework was used to quantitatively assess the impacts of climate change and multiple human activities on runoff reduction.The results showed that(1):Precipitation(PRE),potential evapotranspiration(E0),and temperature(TEM)showed increasing trends;runoff in the Huangfuchuan,Gushanchuan,Kuye River,Tuwei River,Wuding River,Qingjian River,and Yanhe River catchments showed decreasing trends(HFC,GSC,KYR,TWR,WDR,QJR,YR);whereas runoff in the Jialu River(JLR)catchment showed a“V-shaped”trend from 1980 to2020.(2)Runoff was positively correlated with PRE and negatively correlated with E0and the subsurface index(n),with the elasticity coefficients of PRE,E0,and n showing an increasing trend in the change period.(3)Human activities were a key factor in runoff reduction,although the impact of different human activities showed spatial variations.This study provides a scientific foundation for achieving the sustainable development of water resources in mining areas.展开更多
Thunderstorm detection based on the Atmospheric Electric Field(AEF)has evolved from time-domain models to space-domain models.It is especially important to evaluate and determine the particularly Weather Attribute(WA)...Thunderstorm detection based on the Atmospheric Electric Field(AEF)has evolved from time-domain models to space-domain models.It is especially important to evaluate and determine the particularly Weather Attribute(WA),which is directly related to the detection reliability and authenticity.In this paper,a strategy is proposed to integrate three currently competitive WA's evaluation methods.First,a conventional evaluation method based on AEF statistical indicators is selected.Subsequent evaluation approaches include competing AEF-based predicted value intervals,and AEF classification based on fuzzy c-means.Different AEF attributes contribute to a more accurate AEF classification to different degrees.The resulting dynamic weighting applied to these attributes improves the classification accuracy.Each evaluation method is applied to evaluate the WA of a particular AEF,to obtain the corresponding evaluation score.The integration in the proposed strategy takes the form of a score accumulation.Different cumulative score levels correspond to different final WA results.Thunderstorm imaging is performed to visualize thunderstorm activities using those AEFs already evaluated to exhibit thunderstorm attributes.Empirical results confirm that the proposed strategy effectively and reliably images thunderstorms,with a 100%accuracy of WA evaluation.This is the first study to design an integrated thunderstorm detection strategy from a new perspective of WA evaluation,which provides promising solutions for a more reliable and flexible thunderstorm detection.展开更多
Despite the availability of effective antibacterial drugs,the increasing prevalence of antibiotic-resistant bacteria is primarily attributed to their excessive and inappropriate utilization.Antimicrobial resistance(AM...Despite the availability of effective antibacterial drugs,the increasing prevalence of antibiotic-resistant bacteria is primarily attributed to their excessive and inappropriate utilization.Antimicrobial resistance(AMR)represents one of the most concerning global health and development threats[1].Thereby,the continuous escalation in AMR necessitates urgent advancements in novel antibacterial strategies.The MraY enzyme,which plays a pivotal role in synthesizing bacterial cell wall-composing polysaccharides,holds significant potential as a target for antibacterial agents[2].However,its conformational dynamics have presented substantial challenges in developing MraY-targeting inhibitors.展开更多
文摘Objective:Knee osteoarthritis is one of the important causes of disability worldwide.This study aims to analyze the disease burden of knee osteoarthritis,attributable risk factors among Chinese residents from 1990 to 2021,and predict the disease burden trend for 2035.Methods:Data related to knee osteoarthritis in China from 1990 to 2021,including the number of incident cases,incidence rate,number of prevalent cases,prevalence rate,and years lived with disability(YLDs),were collected from the Global Burden of Disease Study(GBD2021)database.Joinpoint regression analysis was used to assess time trends,and the Bayesian-Age-Period-Cohort(BAPC)regression model was employed for future predictions.Results:From 1990 to 2021,the number of incident cases of knee osteoarthritis among Chinese residents increased from 3.65 million to 8.51 million,a rise of 133.16%,with an average annual increase of 3.15%.The incidence rate increased from 310.33 per 100,000 to 598.31 per 100,000,a rise of 92.80%,with an average annual increase of 2.55%.The number of prevalent cases increased from 41.04 million to 110 million,a rise of 166.97%,with an average annual increase of 3.61%.The prevalence rate increased from 3488.78 per 100,000 to 7701.69 per 100,000,a rise of 120.76%,with an average annual increase of 3.00%.The number of YLDs increased from 1.34 million to 3.55 million,a rise of 165.32%,with an average annual increase of 3.59%.The YLD rate increased from 113.86 per 100,000 to 249.81 per 100,000,a rise of 119.39%,with an average annual increase of 2.99%.High BMI was the only significant attributable risk factor,with the proportion of YLDs it caused continuing to rise.Predictions for 2035:The number of incident cases is expected to decline slightly from 5.89 million in 2022 to 5.72 million in 2035.The number of prevalent cases is expected to peak at 72.42 million in 2029 and be around 72.69 million in 2035.The number of YLDs is expected to increase year by year,from 2.35 million in 2022 to 2.35 million in 2035.Conclusion:The study reveals the increasing prevalence and disease burden of knee osteoarthritis among Chinese residents,emphasizing the importance of interventions targeting controllable risk factors.Although the prediction shows a slight decline in the number of incident cases in 2035,the number of prevalent cases and years of disability are expected to remain high,indicating the need for continued monitoring and intervention.
基金supported by International Agency for Research on Cancer (Lyon, France) (No. CRA No GEE/08/19)supported in part by the Fogarty International Clinical Research Scholars and Fellows Program at Vanderbilt University (R24 TW007988)
文摘Objective： To provide an evidence-based, consistent assessment of the burden of breast cancer attributable to reproductive factors （RFs, including nulliparity, mean number of children, age at first birth and breastfeeding）, use of oral contraceptives （OCs, restricted to the age group of 15-49 years）, and hormone replacement therapy （HRT）, as well as of the burden of ovarian cancer attributable to the mean number of children in China in 2005. Methods： We derived the prevalence of these risk factors and the relative risk of breast and ovarian cancer from national surveys or large-scale studies conducted in China. In the case of RFs, we compared the exposure distributions in 2001 and counterfactual exposure. Results： Exposure of RFs in 2002 was found to account for 6.74% of breast cancer, corresponding to 9,617 cases and 2,769 deaths, and for 2.78% of ovarian cancer （712 cases, 294 deaths）. The decrease in mean number of children alone was responsible for 1.47% of breast cancer and 2.78% of ovarian cancer. The prevalence of OC use was 1.74% and the population attributable fraction （PAF） of breast cancer was 0.71%, corresponding to 310 cases and 90 deaths. The PAF of breast cancer due to HRT was 0.31%, resulting in 297 cases and 85 deaths. Conclusion： RFs changes in China contributed to a sizable fraction of breast and ovarian cancer incidence and mortality, whereas HRT and OCs accounted for relatively low incidence of breast cancer in China.
基金supported by the National Natural Science Foundation of China(No.81974492)Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(No.2019PT320027)Sanming Project of Medicine in Shenzhen(No.SZSM201911015)。
文摘Objective:There is little information about contributions of the well-known risk factors to the liver cancer burden.We conducted a comparative study to estimate the liver cancer burden attributable to major risk factors.Methods:Liver cancer deaths for adults were estimated from 978 county-level surveillance points in China in2014.Risk factors were identified from the International Agency for Research on Cancer and the World Cancer Research Fund International.Population attributable fraction(PAF)by age,sex,and province was calculated using multiple formulas.Results:In total,72.4%of liver cancer deaths could be attributable to the studied risk factors.Hepatitis B virus(HBV)was responsible for the largest fraction of liver cancer burden in both genders(PAF=55.6%in males,PAF=46.5%in females).PAFs for liver cancer burden attributable to smoking(15.7%vs.4.8%),and alcohol drinking(10.3%vs.1.6%)were significantly higher in males than in females.The burden of HBV-attributable deaths was the highest in Qinghai province.Conclusions:HBV still contributes to the majority of liver cancer burden than any other risk factors.Targeted preventive measures should be implemented based on the degree of contributions of risk factors to liver cancer deaths.
基金supported by the funds of Key Discipline and Specialty Foundation of Shanghai Municipal Commission of Health and Family Planningthe National Key Basic Research Program "973 project" (2015CB554000)grants from US National Institutes of Health (R37 CA070867, R01 CA82729, UM1CA173640, and UM1 CA182910)
文摘Objective： To evaluate the population attributable risks （PARs） between cigarette smoking and deaths of all causes, all cancers, lung cancer and other chronic diseases in urban Shanghai. Methods： In total, 61,480 men aged 40-74 years from 2002 to 2006 and 74,941 women aged 40-70 years from 1997 to 2000 were recruited to undergo baseline surveys in urban Shanghai, with response rates of 74.0% and 92.3%, respectively. A Cox proportional hazards regression model was used to estimate relative risks （RRs） and 95% confidence intervals （95% CIs） of deaths associated with cigarette smoking. PARs and 95 % CIs for deaths were estimated from smoking exposure rates and the estimated RRs. Results： Cigarette smoking was responsible for 23.9% （95% CI： 19.4-28.3%） and 2.4% （95% Ch 1.6- 3.2%） of all deaths in men and women, respectively, in our study population. Respiratory disease had the highest PAR in men [37.5% （95% CI： 21.5-51.6%）], followed by cancer [31.3% （95% Ch 24.6-37.7%）] and cardiovascular disease （CVD） [24.1% （95% CI： 16.7-31.2%）]. While the top three PARs were 12.7% （95% CI： 6.1-19.3%）, 4.0% （95% CI： 2.4-5.6%）, and 1.1% （95% CI： 0.0-2.3%）, for respiratory disease, CVD, and cancer, respectively in women. For deaths of lung cancer, the PAR of smoking was 68.4% （95% CI： 58.2- 76.5%） in men. Conclusions： In urban Shanghai, 23.9% and 2.4% of all deaths in men and women could have been prevented if no people had smoked in the area. Effective control programs against cigarette smoking should be strongly advocated to reduce the increasing smoking-related death burden.
基金supported by International Agency for Research on Cancer (Lyon, France) grant CRA No GEE/08/19
文摘Objective：To provide an evidence-based and consistent assessment of the burden of cancer attributable to inadequate fruit and vegetable intake in China in 2005.Methods：The proportions of cancers attributable to low consumption of vegetable and fruit were calculated separately to estimate the burden of related cancers for the year 2005 in China.Data on the prevalence of exposure were derived from a Chinese nutrition and health survey.Data on relative risks were mainly derived from meta-analysis.Attributable fractions were calculated based on the counterfactual scenario which was a shift in the exposure distribution.Results：The total cancer burden attributable to inadequate consumption of fruit was up to 233,000 deaths （13.0% of all cancers） and 300,000 cases （11.6% of all cancers） in 2005.Increasing consumption of vegetable to the highest quintile could avoid total cancer deaths and cases by 3.6% （64,000 persons） and 3.4% （88,000 persons）.The contributions to cancer burden were higher in rural areas than in urban areas.They have greater influence on men than on women.The largest proportions of cancer burden attributable to low fruit and vegetable intake were for oral and pharyngeal cancers.Conclusion：This study showed that inadequate intake of fruit and vegetable makes a significant contribution to the cancer burden.Increasing consumption of fruit and vegetable could prevent many cancer deaths and save many lives.Promoting the consumption of fruit and vegetable is an important component in diet-based strategies for preventing cancer.
文摘AIM To study the impact of hospital-acquired infections(HAIs)on cost and outcome from intensive care units(ICU)in India.METHODS Adult patients(>18 years)admitted over 1-year,to a 24-bed medical critical care unit in India,were enrolled prospectively.Treatment cost and outcome data were collected.This cost data was merged with HAI data collected prospectively by the Hospital Infection Control Committee.Only infections occurring during ICU stay were included.The impact of HAI on treatment cost and mortality was assessed.RESULTS The mean(±SD)age of the cohort(n=499)was42.3±16.5 years.Acute physiology and chronic health evaluation-Ⅱscore was 13.9(95%CI:13.3-14.5);86%were ventilated.ICU and hospital length of stay were 7.8±5.5 and 13.9±10 d respectively.Hospital mortality was 27.9%.During ICU stay,76(15.3%)patients developed an infection(ventilator-associated pneumonia 50;bloodstream infection 35;urinary tract infections 3),translating to 19.7 infections/1000 ICU days.When compared with those who did not develop an infection,an infection occurring during ICU stay was associated with significantly higher treatment cost[median(inter-quartile range,IQR)INR 92893(USD 1523)(IQR 57168-140286)vs INR 180469(USD 2958)(IQR 140030-237525);P<0.001 and longer duration of ICU(6.7±4.5 d vs 13.4±7.0 d;P<0.01)and hospital stay(12.4±8.2 d vs 21.8±13.9 d;P<0.001)].However ICU acquired infections did not impact hospital mortality(31.6%vs 27.2%;P=0.49).CONCLUSION An infection acquired during ICU stay was associated with doubling of treatment cost and prolonged hospitalization but did not significantly increase mortality.
基金supported by the National Key R&D Program of China(2022YFC2010106)the Chinese Nutrition Society(CNS-NNSRG2021-61).
文摘With the largest ageing population in the world,China is faced with the huge chal-lenge of dementia.-However,previously reported estimates on the prevalence of dementia among Chinese older adults were inconsistent,varying from 2%to 13%.5°It is crucial for dementia prevention to determine the number of cases that could be delayed or prevented,but how to do this remains unclear.To address these research gaps,we aimed to provide population estimates of the prevalence of dementia in China and estimate the population attributable fractions(PAFs)of potentially modifiable risk factors.
文摘Effect sizes are estimated from several study designs when the subjects are individually sampled. When the samples are the aggregate cluster of individuals, the within cluster correlation must be accounted for to construct correct confidence intervals, and to conduct valid statistical inference. The purpose of this article is to propose and evaluate statistical procedures for the estimation of the variance of the estimated attributable risk in parallel groups of clusters, and in a design dividing each of k clusters into two segments creating multiple sub-clusters. The estimated variance is the first order approximation and is obtained by the delta method. We apply the methodology and propose a Wald type confidence interval on the difference between two correlated attributable risks. We also construct a test on the hypothesis of equality of two correlated attributable risks. We evaluate the power of the proposed test via Monte-Carlo simulations.
基金supported by the Capital’s Funds for Health Improvement and Research (No. 2024-1G-4023)。
文摘Objective: This study aims to quantify the potential impact of controlling major risk factors on liver cancer deaths in China from 2021 to 2050 under various intervention scenarios.Methods: We developed a macro-level simulation model based on comparative risk assessment to estimate population attributable fractions and avoidable liver cancer deaths. Risk factor prevalence data were obtained from national surveys and epidemiological estimates. Three intervention scenarios for each risk factor were projected:elimination(Scenario 1), ambitious reduction(Scenario 2), and manageable targets aligned with national/global goals(Scenario 3). The impact of secondary prevention through liver cancer screening at different coverage was evaluated.Results: Between 2021 and 2050, liver cancer deaths in China are projected to reach 9.44 million in males and4.29 million in females. Eliminating hepatitis B virus and hepatitis C virus could prevent 65.62%(57.47%-73.77%)and 28.47%(24.93%-32.00%) of liver cancer deaths, respectively. Achieving manageable targets in reducing the prevalence of smoking and alcohol drinking could prevent 6.57%(5.75%-7.38%) and 0.85%(0.75%-0.96%) of liver cancer deaths, with a more pronounced effect observed in males. Eliminating high body mass index(BMI)could avert 45,000 male and 25,000 female deaths annually by 2050, while diabetes elimination could prevent60,000 male and 21,000 female deaths. Secondary prevention through liver cancer screening with 80% coverage could reduce liver cancer deaths by 3.59%(3.14%-4.04%) for the total population. Combining all interventions under Scenario 1 could prevent up to 88.39%(76.65%-99.81%) of male and 77.80%(67.42%-87.88%) of female liver cancer deaths by 2050.Conclusions: Comprehensive risk factor control could prevent over 80% of liver cancer deaths in China by2050. Secondary prevention through screening may offer modest additional benefits. These findings provide strong quantitative support for targeted, evidence-based interventions and underscore the need for policy action to address key risk factors.
基金supported by the National Natural Science Foundation of China(Nos.U19A2044,42105132,42030609,and 41975037)the National Key Research and Development Programof China(No.2022YFC3700303).
文摘Extreme ozone pollution events(EOPEs)are associated with synoptic weather patterns(SWPs)and pose severe health and ecological risks.However,a systematic investigation of themeteorological causes,transport pathways,and source contributions to historical EOPEs is still lacking.In this paper,the K-means clustering method is applied to identify six dominant SWPs during the warm season in the Yangtze River Delta(YRD)region from 2016 to 2022.It provides an integrated analysis of the meteorological factors affecting ozone pollution in Hefei under different SWPs.Using the WRF-FLEXPART model,the transport pathways(TPPs)and geographical sources of the near-surface air masses in Hefei during EOPEs are investigated.The results reveal that Hefei experienced the highest ozone concentration(134.77±42.82μg/m^(3)),exceedance frequency(46 days(23.23%)),and proportion of EOPEs(21 instances,47.7%)under the control of peripheral subsidence of typhoon(Type 5).Regional southeast winds correlated with the ozone pollution in Hefei.During EOPEs,a high boundary layer height,solar radiation,and temperature;lowhumidity and cloud cover;and pronounced subsidence airflow occurred over Hefei and the broader YRD region.The East-South(E_S)patterns exhibited the highest frequency(28 instances,65.11%).Regarding the TPPs and geographical sources of the near-surface air masses during historical EOPEs.The YRD was the main source for land-originating air masses under E_S patterns(50.28%),with Hefei,southern Anhui,southern Jiangsu,and northern Zhejiang being key contributors.These findings can help improve ozone pollution early warning and control mechanisms at urban and regional scales.
基金Supported by STI2030-Major Projects,No.2021ZD0202001National Natural Science Foundation of China,No.T2341003Capital Funds for Health Improvement and Research,No.CFH 2022-2-4012.
文摘BACKGROUND Not all neuropsychiatric(NP)manifestations in patients with systemic lupus erythematosus(SLE)are secondary to lupus.The clarification of the cause of NP symptoms influences therapeutic strategies for SLE.AIM To understand the attribution of psychiatric manifestations in a cohort of Chinese patients with SLE.METHODS This retrospective single-center study analyzed 160 inpatient medical records.Clinical diagnosis,which is considered the gold standard,was used to divide the subjects into a psychiatric SLE(PSLE)group(G1)and a secondary psychiatric symptoms group(G2).Clinical features were compared between these two groups.The sensitivity and specificity of the Italian attribution model were explored.RESULTS A total of 171 psychiatric syndromes were recorded in 138 patients,including 87 cases of acute confusional state,40 cases of cognitive dysfunction,18 cases of psychosis,and 13 cases each of depressive disorder and mania or hypomania.A total of 141(82.5%)syndromes were attributed to SLE.In contrast to G2 patients,G1 patients had higher SLE Disease Activity Index-2000 scores(21 vs 12,P=0.001),a lower prevalence of anti-beta-2-glycoprotein 1 antibodies(8.6%vs 25.9%,P=0.036),and a higher prevalence of anti-ribosomal ribonucleoprotein particle(rRNP)antibodies(39.0%vs 22.2%,P=0.045).The Italian attribution model exhibited a sensitivity of 95.0%and a specificity of 70.0%when the threshold value was set at 7.CONCLUSION Patients with PSLE exhibited increased disease activity.There is a correlation between PSLE and anti-rRNP antibodies.The Italian model effectively assesses multiple psychiatric manifestations in Chinese SLE patients who present with NP symptoms.
文摘Population attributable fraction(PAF)refers to the proportion of all cases with a particular outcome in a population that could be prevented by eliminating a specific exposure.The authors of a recent paper evaluated the prevalence and estimated the PAFs for risk factors of TB among elderly people in China[Inf Dis Poverty.2019;8:7].Confounding is inevitable in observational studies and Levin’s formula is of limited use in practice for unbiasedly estimating PAF.In a complex survey design,an unbiased estimation of the PAF can be calculated using a sample-weighted version of the Miettinen formula or a sample weighed parametric g-formula.With respect to causal interpretation of PAF in public health setting,computation of PAF is logical and practical when the exposure is amenable to intervention.
基金Supported by Taishan Scholar Special Funding,No.tsqnz20240858Medical and Health Technology Project of Shandong Province,No.202402050122+4 种基金Science and Technology Development Plan of Jinan Municipal Health Commission,No.2024301008Clinical Medical Science and Technology Innovation Program of Jinan Science and Technology Bureau,No.202430055Natural Science Foundation of Jiangxi Province,No.20224BAB206077Gansu Provincial Hospital Intra-Hospital Research Fund Project,No.22GSSYB-6and the 2022 Master/Doctor/Postdoctoral Program of National Health Commission Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor,No.NHCDP2022004 and No.NHCDP2022008.
文摘Knee osteoarthritis(KOA),characterized by heterogeneous arthritic manifestations and complex peripheral joint disorder,is one of the leading causes of disability worldwide,which has become a high burden due to the multifactorial nature and the deficiency of available disease-modifying treatments.The application of mesenchymal stem/stromal cells(MSCs)as therapeutic drugs has provided novel treatment options for diverse degenerative and chronic diseases including KOA.However,the complexity and specificity of the“live”cells have posed challenges for MSC-based drug development and the concomitant scale-up preparation from laboratory to industrialization.For instance,despite the considerable progress in ex vivo cell culture technology for fulfilling the robust development of drug conversion and clinical trials,yet significant challenges remain in obtaining regulatory approvals.Thus,there’s an urgent need for the research and development of MSC drugs for KOA.In this review,we provide alternative solution strategies for the preparation of MSC drugs on the basis of the principle of quality by design,including designing the cell production processes,quality control,and clinical applications.In detail,we mainly focus on the quality by design method for MSC manufacturing in standard cell-culturing factories for the treatment of KOA by using the Quality Target Product Profile as a starting point to determine potential critical quality attributes and to establish relationships between critical material attributes and critical process parameters.Collectively,this review aims to meet product performance and robust process design,and should help to reduce the gap between compliant products and the production of compliant good manufacturing practice.
基金supported by National Natural Science Foundation of China(No.62102449).
文摘Security attributes are the premise and foundation for implementing Attribute-Based Access Control(ABAC)mechanisms.However,when dealing with massive volumes of unstructured text big data resources,the current attribute management methods based on manual extraction face several issues,such as high costs for attribute extraction,long processing times,unstable accuracy,and poor scalability.To address these problems,this paper proposes an attribute mining technology for access control institutions based on hybrid capsule networks.This technology leverages transfer learning ideas,utilizing Bidirectional Encoder Representations from Transformers(BERT)pre-trained language models to achieve vectorization of unstructured text data resources.Furthermore,we have designed a novel end-to-end parallel hybrid network structure,where the parallel networks handle global and local information features of the text that they excel at,respectively.By employing techniques such as attention mechanisms,capsule networks,and dynamic routing,effective mining of security attributes for access control resources has been achieved.Finally,we evaluated the performance level of the proposed attribute mining method for access control institutions through experiments on the medical referral text resource dataset.The experimental results show that,compared with baseline algorithms,our method adopts a parallel network structure that can better balance global and local feature information,resulting in improved overall performance.Specifically,it achieves a comprehensive performance enhancement of 2.06%to 8.18%in the F1 score metric.Therefore,this technology can effectively provide attribute support for access control of unstructured text big data resources.
文摘Delineation of hydrocarbon-bearing sands and the extent of accumulation using seismic data is a reoccurring challenge for many fields.This study addressed the existing challenges of delineating a known hydrocarbon region for a thin-pay reservoir using conventional attributes extraction methods.The efficacy of applying iso-frequency extraction and spectral frequency blending in identifying thin-pay and thick-pay reservoirs on seismic was tested by utilizing 3D seismic data and well logs data of Terra field in the Western Niger Delta Basin.Well tops of all the reservoirs in the field were picked and two reservoirs that correspond to thin-and thick-pay reservoirs,namely A and F were identified respectively.The gross pay thickness of reservoir A is 18 ft while that of reservoir F is 96 ft.Conventional attribute extraction such as RMS amplitude,minimum amplitude,and average energy can be used to identify the hydrocarbon-bearing region in reservoir F but was not applicable for identifying the thin-pay reservoir A.This prompted the interest of using iso-frequency extractions and spectral frequency blending of three iso-frequency cubes of 12 Hz,30 Hz,and 70 Hz to get a spectral frequency RGB cube.The 12 Hz isofrequency can be used to partially identify hydrocarbon-bearing region in reservoir A while the 30Hz iso-frequency can be used to partially identify hydrocarbon-bearing region in reservoir F.The results show that time slices from the spectral frequency blended cube were able to delineate both the thin-pay and thick-pay hydrocarbon-bearing regions as high amplitude.The extractions also conformed to the structure of the two reservoirs.However,there seems to be a color difference in the amplitude display for both reservoirs.The thick-pay reservoir showed a red color on the time slice while the thin-pay reservoir showed a green color.This study has shown that spectral frequency blending is a more effective tool than conventional attributes extractions in identifying hydrocarbon-bearing region using seismic data.The methodology utilized in this study can be applied to other fields with similar challenges and for identifying prospective hydrocarbon bearing areas.
文摘Graph similarity learning aims to calculate the similarity between pairs of graphs.Existing unsupervised graph similarity learning methods based on contrastive learning encounter challenges related to random graph augmentation strategies,which can harm the semantic and structural information of graphs and overlook the rich structural information present in subgraphs.To address these issues,we propose a graph similarity learning model based on learnable augmentation and multi-level contrastive learning.First,to tackle the problem of random augmentation disrupting the semantics and structure of the graph,we design a learnable augmentation method to selectively choose nodes and edges within the graph.To enhance contrastive levels,we employ a biased random walk method to generate corresponding subgraphs,enriching the contrastive hierarchy.Second,to solve the issue of previous work not considering multi-level contrastive learning,we utilize graph convolutional networks to learn node representations of augmented views and the original graph and calculate the interaction information between the attribute-augmented and structure-augmented views and the original graph.The goal is to maximize node consistency between different views and learn node matching between different graphs,resulting in node-level representations for each graph.Subgraph representations are then obtained through pooling operations,and we conduct contrastive learning utilizing both node and subgraph representations.Finally,the graph similarity score is computed according to different downstream tasks.We conducted three sets of experiments across eight datasets,and the results demonstrate that the proposed model effectively mitigates the issues of random augmentation damaging the original graph’s semantics and structure,as well as the insufficiency of contrastive levels.Additionally,the model achieves the best overall performance.
基金supported by the National Key R&D Program of China(Grant Nos.2024YFE0109800 and 2024YFE0109802)the National Natural Science Foundation of China(Grant No.12305127)the International Partnership Program of the Chinese Academy of Sciences(Grant No.016GJHZ2022054FN)。
文摘Numerous experimental and theoretical investigations have highlighted the power law behavior of the proton structure function F_(2)(x,Q^(2)),particularly the dependence of its power constant on various kinematic variables.In this study,we analyze the proton structure function F_(2)employing the analytical solution of the Balitsky–Kovchegov equation,with a focus on the high Q^(2)regime and small x domains.Our results indicate that as Q^(2)increases,the slope parameterλ,which characterizes the growth rate of F_(2),exhibits a gradual decrease,approaching a limiting value ofλ≈0.41±0.01 for large Q^(2).We suggest that this behavior ofλmay be attributed to mechanisms such as gluon overlap and the suppression of phase space growth.To substantiate these conclusions,further high-precision electron–ion collision experiments are required,encompassing a broad range of Q^(2)and x.
基金Department of Water Resources of Shaanxi Province of China,No.2023slkj-8National Natural Science Foundation of China,No.51779209。
文摘Studying runoff characteristics and quantifying human activities’impact on northern Shaanxi,a crucial mineral resource area in China,is crucial to alleviate water resource contradictions.In this study,hydrological element trends were analyzed using theβ-z-h three-parameter indication method.The Mann-Kendall,Pettitt,moving T,and Yamamoto methods were used to test the mutation point of hydrological elements.The Budyko framework was used to quantitatively assess the impacts of climate change and multiple human activities on runoff reduction.The results showed that(1):Precipitation(PRE),potential evapotranspiration(E0),and temperature(TEM)showed increasing trends;runoff in the Huangfuchuan,Gushanchuan,Kuye River,Tuwei River,Wuding River,Qingjian River,and Yanhe River catchments showed decreasing trends(HFC,GSC,KYR,TWR,WDR,QJR,YR);whereas runoff in the Jialu River(JLR)catchment showed a“V-shaped”trend from 1980 to2020.(2)Runoff was positively correlated with PRE and negatively correlated with E0and the subsurface index(n),with the elasticity coefficients of PRE,E0,and n showing an increasing trend in the change period.(3)Human activities were a key factor in runoff reduction,although the impact of different human activities showed spatial variations.This study provides a scientific foundation for achieving the sustainable development of water resources in mining areas.
基金supported in part by the National Natural Science Foundation of China under Grant 62171228in part by the National Key R&D Program of China under Grant 2021YFE0105500in part by the Program of China Scholarship Council under Grant 202209040027。
文摘Thunderstorm detection based on the Atmospheric Electric Field(AEF)has evolved from time-domain models to space-domain models.It is especially important to evaluate and determine the particularly Weather Attribute(WA),which is directly related to the detection reliability and authenticity.In this paper,a strategy is proposed to integrate three currently competitive WA's evaluation methods.First,a conventional evaluation method based on AEF statistical indicators is selected.Subsequent evaluation approaches include competing AEF-based predicted value intervals,and AEF classification based on fuzzy c-means.Different AEF attributes contribute to a more accurate AEF classification to different degrees.The resulting dynamic weighting applied to these attributes improves the classification accuracy.Each evaluation method is applied to evaluate the WA of a particular AEF,to obtain the corresponding evaluation score.The integration in the proposed strategy takes the form of a score accumulation.Different cumulative score levels correspond to different final WA results.Thunderstorm imaging is performed to visualize thunderstorm activities using those AEFs already evaluated to exhibit thunderstorm attributes.Empirical results confirm that the proposed strategy effectively and reliably images thunderstorms,with a 100%accuracy of WA evaluation.This is the first study to design an integrated thunderstorm detection strategy from a new perspective of WA evaluation,which provides promising solutions for a more reliable and flexible thunderstorm detection.
文摘Despite the availability of effective antibacterial drugs,the increasing prevalence of antibiotic-resistant bacteria is primarily attributed to their excessive and inappropriate utilization.Antimicrobial resistance(AMR)represents one of the most concerning global health and development threats[1].Thereby,the continuous escalation in AMR necessitates urgent advancements in novel antibacterial strategies.The MraY enzyme,which plays a pivotal role in synthesizing bacterial cell wall-composing polysaccharides,holds significant potential as a target for antibacterial agents[2].However,its conformational dynamics have presented substantial challenges in developing MraY-targeting inhibitors.
