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Dynamic characterization of pathological and functional deterioration in a mouse model of optic neuritis related to neuromyelitis optica spectrum disorder 认领 引用
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作者 Xiayin Yang Shi-Qi Yao +1 位作者 Henry Ho-Lung Chan Shaoying Tan 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第8期3870-3880,共11页
Neuromyelitis optica spectrum disorder-related optic neuritis involves various cellular responses to inflammation and degeneration.In most patients,the primary mechanism underlying neuromyelitis optica spectrum disord... Neuromyelitis optica spectrum disorder-related optic neuritis involves various cellular responses to inflammation and degeneration.In most patients,the primary mechanism underlying neuromyelitis optica spectrum disorder-related optic neuritis is the interaction of aquaporin-4 antibodies with the aquaporin-4 protein present on astrocytes within posterior optic nerve.This binding subsequently initiates a cascade of events leading to secondary demyelination of the optic nerve,ultimately culminating in optic nerve degeneration.Earlier studies on this disorder primarily used systemic-induced animal models,which often require prior activation of a systemic immune response.This can result in primary demyelination of the optic nerve,complicating the interpretation of experimental results.Such methodologies hinder the ability to isolate immune responses triggered by specific antibodies.Additionally,the lack of a detailed profile of disease progression over time limits our capacity to identify potential intervention windows.Therefore,constructing a targeted optic neuritis animal model induced by specific antibodies and elucidate the disease progression arecrucial for exploring the mechanisms underlying neuromyelitis optica spectrum disorder-related optic neuritis.In this study,specific antibodies against aquaporin-4 were precisely injected into the retrobulbar optic nerve of mice to induce a targeted inflammatory response in the posterior optic nerve,resulting in a more representative mouse model of neuromyelitis optica spectrum disorder-related optic neuritis than current models.The progression of the disease was then dynamically observed from both histological and functional perspectives over the course of 1 month following the induction of inflammation.By the first week,astrocytes were damaged,as evidenced by the loss of aquaporin-4 and glial fibrillary acidic protein,the activation of microglia,and the upregulation of microglia-related cytokines,including tumor necrosis factor,interleukin-6,interleukin-1β,C-X-C motif ligand 10,and brain-derived neurotrophic factor.Starting from the second week,there were signs of optic nerve demyelination and significant damage to axonal fibers and retinal ganglion cell bodies.Visual-evoked potentials and dark adaptation threshold responses in electroretinogram both indicated dysfunction in the visual pathway and retina,while optical coherence tomography revealed thinning of the retinal nerve fiber layer in live mice.In summary,in this study we conducted a dynamic exploration of the occurrence and progression of neuromyelitis optica spectrum disorder-related optic neuritis triggered by specific antibodies.Our results show pathological changes at various stages and correlate histological and molecular alterations with in vivo structural and functional deterioration.The findings from this study lay an important foundation for further research on neuromyelitis optica spectrum disorder-related optic neuritis. 展开更多
关键词 animal model aquaporin-4 immunoglobulin G dynamic profile electroretinogram functional deterioration in vivo retinal structural scan neuromyelitis optica spectrum disorder-related optic neuritis optic neuritis pathology visual-evoked potential
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Functional generalized estimating equation model to detect glaucomatous visual field progression 认领 引用
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作者 Sanghun Jeong Hwayeong Kim +4 位作者 Sangwoo Moon EunAh Kim Hojin Yang Jiwoong Lee Kouros Nouri-Mahdavi 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2026年第2期302-311,共10页
AIM:To build a functional generalized estimating equation(GEE)model to detect glaucomatous visual field progression and compare the performance of the proposed method with that of commonly employed algorithms.METHODS:... AIM:To build a functional generalized estimating equation(GEE)model to detect glaucomatous visual field progression and compare the performance of the proposed method with that of commonly employed algorithms.METHODS:Totally 716 eyes of 716 patients with primary open angle glaucoma(POAG)with at least 5 reliable 24-2 test results and 2y of follow-up were selected.The functional GEE model was used to detect perimetric progression in the training dataset(501 eyes).In the testing dataset(215 eyes),progression was evaluated the functional GEE model,mean deviation(MD)and visual field index(VFI)rates of change,Advanced Glaucoma Intervention Study(AGIS)and Collaborative Initial Glaucoma Treatment Study(CIGTS)scores,and pointwise linear regression(PLR).RESULTS:The proposed method showed the highest proportion of eyes detected as progression(54.4%),followed by the VFI rate(34.4%),PLR(23.3%),and MD rate(21.4%).The CIGTS and AGIS scores had a lower proportion of eyes detected as progression(7.9%and 5.1%,respectively).The time to detection of progression was significantly shorter for the proposed method than that of other algorithms(adjusted P≤0.019).The VFI rate displayed moderate pairwise agreement with the proposed method(k=0.47).CONCLUSION:The functional GEE model shows the highest proportion of eyes detected as perimetric progression and the shortest time to detect perimetric progression in patients with POAG. 展开更多
关键词 functional generalized estimating equation model primary open angle glaucoma perimetric progression
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Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery 认领 引用 被引量：1
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作者 Ryotaro Hiramatsu Shinsuke Imaoka +2 位作者 Shohei Minata Hidenori Sako Noboru Sato 《World Journal of Clinical Cases》 2026年第4期21-29,共9页
BACKGROUND Hospital-acquired functional decline(HAFD)is a poor prognostic factor in older patients who have undergone cardiovascular surgery.AIM To develop a model to predict HAFD and to identify its associated factor... BACKGROUND Hospital-acquired functional decline(HAFD)is a poor prognostic factor in older patients who have undergone cardiovascular surgery.AIM To develop a model to predict HAFD and to identify its associated factors.METHODS This retrospective observational study included 144 patients who underwent cardiovascular surgery between May 2019 and December 2023.HAFD was defined as a change in the preoperative and pre-discharge short physical performance battery score.Seven machine learning models were constructed,and their performance was evaluated using the area under the receiver operating characteristic curve(AUC)values.The models were further interpreted using SHapley Additive exPlanations(SHAP)values.RESULTS Among the 144 participants,41(28.5%)experienced HAFD.Of the 7 machine learning models,the extreme gradient boosting model(XGBoost)achieved the best performance,with an AUC of 0.87.SHAP analysis revealed that being female and having a slower preoperative walking speed markedly impacted HAFD occurrence.CONCLUSION We developed a high-accuracy model to predict HAFD in older patients who have undergone cardiovascular surgery and identified key associated factors,informing preoperative evaluations and interventions in clinical practice. 展开更多
关键词 Cardiac surgery Machine learning Hospital-acquired functional decline Extreme gradient boosting model Predictive modeling
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Development and validation of a prediction model for non-suicidal self-injury in adolescents based on functional near-infrared spectroscopy and neuropsychological assessment 认领 引用
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作者 Wan-Gen Liu Huan-Zhen Liu +3 位作者 Hou-Qiang Fu Hao Lv Chang Liu Cheng-Xi Li 《World Journal of Psychiatry》 SCIE 2026年第8期256-266,共11页
BACKGROUND Non-suicidal self-injury(NSSI)is prevalent among adolescents worldwide,yet current identification methods rely heavily on subjective self-report tools that are prone to concealment and fail to capture the n... BACKGROUND Non-suicidal self-injury(NSSI)is prevalent among adolescents worldwide,yet current identification methods rely heavily on subjective self-report tools that are prone to concealment and fail to capture the neurobiological underpinnings of the behavior.Integrating objective neuroimaging markers with neuropsychological assessment may improve early identification and risk stratification of NSSI.AIM To develop and validate a prediction model for NSSI behavior in adolescents based on functional near-infrared spectroscopy(fNIRS)and neuropsychological assessment indicators.METHODS A retrospective study was conducted,including 312 adolescents(156 NSSI cases and 156 controls)who visited the psychology department of a tertiary hospital from March 2021 to March 2024.All participants completed fNIRS assessment(verbal fluency task)and neuropsychological evaluation[Difficulties in Emotion Regulation Scale(DERS),Childhood Trauma Questionnaire(CTQ),Barratt Impulsiveness Scale-11(BIS-11),Adolescent Self-Rating Life Events Check List(ASLEC)].Univariate analysis was used to screen variables,and multivariate logistic regression was employed to establish the prediction model.A nomogram was constructed,and internal validation was performed using the Bootstrap method.The model’s performance was evaluated using the area under the receiver operating characteristic curve(AUC),calibration curve,and decision curve analysis(DCA).RESULTS The NSSI group showed significantly lower prefrontal oxyhemoglobin concentration changes and activation integral values compared to the control group(P<0.001).Multivariate logistic regression revealed that left dorsolateral prefrontal cortex activation integral value[odds ratio(OR)=0.72,95%CI:0.58-0.89],DERS nonacceptance of emotional responses dimension(OR=1.15,95%CI:1.08-1.23),CTQ emotional neglect dimension(OR=1.12,95%CI:1.05-1.19),BIS-11 motor impulsiveness dimension(OR=1.18,95%CI:1.09-1.28),and ASLEC interpersonal relationship dimension(OR=1.09,95%CI:1.03-1.16)were independent predictors of NSSI.The prediction model based on these factors achieved an AUC of 0.891(95%CI:0.854-0.928),with sensitivity of 82.7%and specificity of 81.4%.Bootstrap internal validation showed a corrected AUC of 0.876.The calibration curve demonstrated good consistency between predicted and actual probabilities,and DCA indicated favorable clinical net benefit.CONCLUSION The prediction model based on fNIRS prefrontal activation indicators and neuropsychological assessment demonstrates good predictive performance for adolescent NSSI and can provide objective evidence for early identification and risk stratification of NSSI. 展开更多
关键词 Non-suicidal self-injury Adolescent Functional near-infrared spectroscopy Prediction model Nomogram Prefrontal cortex
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Construction of a risk prediction model for postoperative gastrointestinal dysfunction and prevention in patients with gastrointestinal tumors 认领 引用
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作者 Xiao-Hui Wang Yi Wang +3 位作者 Xi Liu Xiao-Lan Ouyang Fen Xie Lu Liao 《World Journal of Gastrointestinal Surgery》 SCIE 2026年第2期231-239,共9页
BACKGROUND The global incidence of gastrointestinal tumors is continuously increasing.Surgery remains the primary treatment modality.However,postoperative gastrointestinal dysfunction remains prevalent,severely impedi... BACKGROUND The global incidence of gastrointestinal tumors is continuously increasing.Surgery remains the primary treatment modality.However,postoperative gastrointestinal dysfunction remains prevalent,severely impeding patient recovery and increasing medical burden.Existing research investigating risk prediction and preventive management has some limitations.AIM To construct a risk-prediction model for postoperative gastrointestinal dysfunction in patients with gastrointestinal tumors and explore preventive management strategies.METHODS Data from 176 patients who underwent gastrointestinal tumor surgery at the authors’hospital between November 2022 and November 2024 were included.Patients were divided into groups according to Tilburg Frailty Scale scores on postoperative day 5.Risk factors were screened using univariate and multivariate logistic regression analyses to establish a model,and the effectiveness of preventive management measures was evaluated.RESULTS Seven factors including age,sex,body mass index,tumor stage,operative duration,and preoperative hemoglobin and albumin levels were identified as independent risk factors.The constructed model had an area under the receiver operating characteristic curve of 0.895.The incidence of postoperative gastrointestinal dysfunction in the intervention group was significantly lower than that in the control group using preventive management measures based on the model.CONCLUSION An effective risk-prediction model was constructed and independent risk factors were identified.Preventive management measures based on this model can reduce risk and provide a scientific basis for clinical practice. 展开更多
关键词 Gastrointestinal neoplasms Postoperative gastrointestinal dysfunction Risk prediction model Preventive management Intestinal barrier function
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Evaluation of Individualized Nursing Based on the IKAP Model on Cardiac Function Improvement in Patients with Chronic Heart Failure 认领 引用
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作者 Jia Luo 《Journal of Clinical and Nursing Research》 2026年第3期42-48,共7页
Objective:To investigate the impact of individualized nursing based on the IKAP model on cardiac function in patients with chronic heart failure.Methods:A total of 112 patients with chronic heart failure admitted from... Objective:To investigate the impact of individualized nursing based on the IKAP model on cardiac function in patients with chronic heart failure.Methods:A total of 112 patients with chronic heart failure admitted from January 2024 to September 2025 were selected and grouped using the random number table method.The control group(56 cases)received conventional nursing,while the observation group(56 cases)received individualized nursing based on the IKAP model.Cardiac function and quality of life were compared between the groups.Results:After three months of nursing,the left ventricular ejection fraction(LVEF)in the observation group was significantly higher than that in the control group,while the left ventricular end-systolic diameter(LVESD)and left ventricular end-diastolic diameter(LVEDD)were significantly lower than those in the control group(p<0.05).The quality-of-life score in the observation group was significantly lower than that in the control group(p<0.05).Conclusion:Individualized nursing based on the IKAP model can effectively improve cardiac function and quality of life in patients with chronic heart failure,and is thus worthy of promotion. 展开更多
关键词 Conventional nursing Chronic heart failure Individualized nursing based on the IKAP model Cardiac function Quality of life
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Phase field modeling of the aspect ratio dependent functional properties of NiTi shape memory alloys with different grain sizes 认领 引用 被引量：2
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作者 Bo Xu Beihai Huang +1 位作者 Chong Wang Qingyuan Wang 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2025年第1期22-41,共20页
It is well known that coarse-grained super-elastic NiTi shape memory alloys(SMAs)exhibit localized rather than homogeneous martensite transformation(MT),which,however,can be strongly influenced by either internal size... It is well known that coarse-grained super-elastic NiTi shape memory alloys(SMAs)exhibit localized rather than homogeneous martensite transformation(MT),which,however,can be strongly influenced by either internal size(grain size,GS)or the external size(geometric size).The coupled effect of GS and geometric size on the functional properties has not been clearly understood yet.In this work,the super-elasticity,one-way,and stress-assisted two-way shape memory effects of the polycrystalline NiTi SMAs with different aspect ratios(length/width for the gauge section)and different GSs are investigated based on the phase field method.The coupled effect of the aspect ratio and GS on the functional properties is adequately revealed.The simulated results indicate that when the aspect ratio is lower than about 4:1,the stress biaxiality and stress heterogeneity in the gauge section of the sample become more and more obvious with decreasing the aspect ratio,which can significantly influence the microstructure evolution in the process involving external stress.Therefore,the corresponding functional property is strongly dependent on the aspect ratio.With decreasing the GS and the aspect ratio(to be lower than 4:1),both the aspect ratio and GS can affect the MT or martensite reorientation in each grain and the interaction among grains.Thus,due to the strong internal constraint(i.e.,the constraint of grain boundary)and the external constraint(i.e.,the constraint of geometric boundary),the capabilities of the functional properties of NiTi SMAs are gradually weakened and highly dependent on these two factors. 展开更多
关键词 Phase field modeling NiTi Aspect ratio Grain size Functional property
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Functional evidential reasoning model(FERM)-A new systematic approach for exploring hazardous chemical operational accidents under uncertainty 认领 引用 被引量：1
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作者 Qianlin Wang Jiaqi Han +6 位作者 Lei Cheng Feng Wang Yiming Chen Zhan Dou Bing Zhang Feng Chen Guoan Yang 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2025年第5期255-269,共15页
This paper proposed a new systematic approach-functional evidential reasoning model(FERM) for exploring hazardous chemical operational accidents under uncertainty. First, FERM was introduced to identify various causal... This paper proposed a new systematic approach-functional evidential reasoning model(FERM) for exploring hazardous chemical operational accidents under uncertainty. First, FERM was introduced to identify various causal factors and their performance changes in hazardous chemical operational accidents, along with determining the functional failure link relationships. Subsequently, FERM was employed to elucidate both qualitative and quantitative operational accident information within a unified framework, which could be regarded as the input of information fusion to obtain the fuzzy belief distribution of each cause factor. Finally, the derived risk values of the causal factors were ranked while constructing multi-level accident causation chains to unveil the weak links in system functionality and the primary roots of operational accidents. Using the specific case of the “1·15” major explosion and fire accident at Liaoning Panjin Haoye Chemical Co., Ltd., seven causal factors and their corresponding performance changes were identified. Additionally, five accident causation chains were uncovered based on the fuzzy joint distribution of the functional assessment level(FAL) and reliability distribution(RD),revealing an overall increase in risk along the accident evolution path. The research findings demonstrated that FERM enabled the effective characterization, rational quantification and accurate analysis of the inherent uncertainties in hazardous chemical operational accident risks from a systemic perspective. 展开更多
关键词 Functional evidential reasoning model (FERM) Accident causation analysis Operational accidents Hazardous chemical Uncertainty
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Nonlocal Thermal–Mechanical Vibration of Spinning Functionally Graded Nanotubes Conveying Fluid Based on the Timoshenko Model 认领 引用 被引量：2
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作者 Yao Chen Xiao-Dong Yang Feng Liang 《Acta Mechanica Solida Sinica》 SCIE EI CSCD 2025年第5期776-788,共13页
Based on the Timoshenko beam theory,this paper proposes a nonlocal bi-gyroscopic model for spinning functionally graded(FG)nanotubes conveying fluid,and the thermal–mechanical vibration and stability of such composit... Based on the Timoshenko beam theory,this paper proposes a nonlocal bi-gyroscopic model for spinning functionally graded(FG)nanotubes conveying fluid,and the thermal–mechanical vibration and stability of such composite nanostructures under small scale,rotor,and temperature coupling effects are investigated.The nanotube is composed of functionally graded materials(FGMs),and different volume fraction functions are utilized to control the distribution of material properties.Eringen’s nonlocal elasticity theory and Hamilton’s principle are applied for dynamical modeling,and the forward and backward precession frequencies as well as 3D mode configurations of the nanotube are obtained.By conducting dimensionless analysis,it is found that compared to the Timoshenko nano-beam model,the conventional Euler–Bernoulli(E-B)model holds the same flutter frequency in the supercritical region,while it usually overestimates the higher-order precession frequencies.The nonlocal,thermal,and flowing effects all can lead to buckling or different kinds of coupled flutter in the system.The material distribution of the P-type FGM nanotube can also induce coupled flutter,while that of the S-type FGM nanotube has no impact on the stability of the system.This paper is expected to provide a theoretical foundation for the design of motional composite nanodevices. 展开更多
关键词 Bi-gyroscopic nanotube Thermal–mechanical vibration Functionally graded material Timoshenko model Spinning motion Nonlocal effect
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Stability Analysis of an Epidemic Predator-Prey Model with Prey Dispersal and Holling Type-Ⅱ Functional Response 认领 引用 被引量：1
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作者 Lingshu WANG Mei ZHANG Ya-nan ZHANG 《Journal of Mathematical Research with Applications》 CSCD 2025年第2期179-194,共16页
This paper examines an epidemic predator-prey model with prey dispersal and Holling type-II functional response. In this model, it is assumed that the predator population suffers a transmissible disease. By analyzing ... This paper examines an epidemic predator-prey model with prey dispersal and Holling type-II functional response. In this model, it is assumed that the predator population suffers a transmissible disease. By analyzing the corresponding characteristic equations, the local stability of each of feasible equilibria and the existence of Hopf bifurcations at the coexistence equilibrium is addressed. Using Lyapunov functionals and LaSalle's invariance principle, we obtained the sufficient conditions for the global stability of the trivial equilibrium, the predator-extinction equilibrium, the disease-free equilibrium and the coexistence equilibrium, respectively. The paper also includes numerical simulations to illustrate the analytical results. 展开更多
关键词 predator-prey model dispersal Holling type-II functional response Hopf bifurcation stability
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A new damage constitutive model for rock strain softening based on an improved Logistic function 认领 引用
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作者 GUO Yun-peng LIU Dong-qiao +1 位作者 YANG Sheng-kai LI Jie-yu 《Journal of Central South University》 SCIE EI CAS CSCD 2025年第8期3070-3094,共25页
This study proposed a new and more flexible S-shaped rock damage evolution model from a phenomenological perspective based on an improved Logistic function to describe the characteristics of the rock strain softening ... This study proposed a new and more flexible S-shaped rock damage evolution model from a phenomenological perspective based on an improved Logistic function to describe the characteristics of the rock strain softening and damage process.Simultaneously,it established a constitutive model capable of describing the entire process of rock pre-peak compaction and post-peak strain softening deformation,considering the nonlinear effects of the initial compaction stage of rocks,combined with damage mechanics theory and effective medium theory.In addition,this research verified the rationality of the constructed damage constitutive model using results from uniaxial and conventional triaxial compression tests on Miluo granite,yellow sandstone,mudstone,and glutenite.The results indicate that based on the improved Logistic function,the theoretical damage model accurately describes the entire evolution of damage characteristics during rock compression deformation,from maintenance through gradual onset,accelerated development to deceleration and termination,in a simple and unified expression.At the same time,the constructed constitutive model can accurately simulate the stress-strain process of different rock types under uniaxial and conventional triaxial compression,and the theoretical model curve closely aligns with experimental data.Compared to existing constitutive models,the proposed model has significant advantages.The damage model parameters a,r and β have clear physical meanings and interact competitively,where the three parameters collectively determine the shape of the theoretical stress−strain curve. 展开更多
关键词 rock mechanics strain softening improved Logistic function S-shaped model damage evolution constitutive model
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Modeling adaptive growth in forest trees:Integrating individual variation to understand climate responses in widely-distributed species 认领 引用 被引量：1
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作者 Arne Buechling Charles D.Canham +9 位作者 Nataliya Korolyova Melanie Saulnier Patrick H.Martin Magnuz Engardt Martin Mikoláš Ondřej Vostarek Daniel Kozák Pavel Janda Jeňýk Hofmeister Miroslav Svoboda 《Forest Ecosystems》 SCIE CAS CSCD 2026年第3期797-811,共15页
An improved understanding of how forest trees may respond individually and differentially to climate across broad environmental gradients,due to adaptation or physiological acclimation,may facilitate more robust forec... An improved understanding of how forest trees may respond individually and differentially to climate across broad environmental gradients,due to adaptation or physiological acclimation,may facilitate more robust forecasts of forest resilience under climate change.We present a framework for modeling stem diameter growth in adult canopy trees that accounts for responses to climate that may be unique for individuals in different ecological settings.We used data from>10,000 tree cores from 888 forest inventory plots distributed across wide climatic gradients in two mountain ranges in Europe.We formulated a suite of nonlinear models for each of the four species to understand factors regulating annual radial growth.The models accounted for the effects of tree ontogeny,competition,nitrogen deposition(Nd),temperature,and precipitation.We compared two approaches to evaluate evidence for adaptation or acclimation in the growth-climate relations of trees.One method tested whether growth responses diverged for individual trees associated with distinct climate regimes.An alternate method fitted climate response functions with the deviation of climate in a given year from the prevailing average conditions at a tree location.We also tested whether the peak height of this function,representing the maximum growth capacity of a tree,depended on local average climate.For all taxa,models that incorporated within-species variation received stronger support relative to simpler models that assumed a consistent species-average growth response to climate.Growth in all but one species was best predicted by models fitted with climate deviations.Trees differed markedly in terms of their peak growth potential and climate optima,and in some cases,occupied suboptimal environments.Growth responses to nitrogen(N)inputs were also modulated by climate.Our framework offers a flexible approach for integrating individual-level climate sensitivity into tree demography models,which may allow for more rigorous investigations of forest dynamics,the outcomes of which may inform adaptive management strategies for mitigating climate change impacts. 展开更多
关键词 Acclimation Competition Differentiation Gaussian functions Local adaptation Nitrogen deposition(Nd) Nonlinear growth models
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Generalized Functional Linear Models:Efficient Modeling for High-dimensional Correlated Mixture Exposures 认领 引用
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作者 Bingsong Zhang Haibin Yu +11 位作者 Xin Peng Haiyi Yan Siran Li Shutong Luo Renhuizi Wei Zhujiang Zhou Yalin Kuang Yihuan Zheng Chulan Ou Linhua Liu Yuehua Hu Jindong Ni 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2025年第8期961-976,共16页
Objective Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health.Analysis of these mixture exposures presents several key challenges for environmental epidemio... Objective Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health.Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment,including high dimensionality,correlated exposure,and subtle individual effects.Methods We proposed a novel statistical approach,the generalized functional linear model(GFLM),to analyze the health effects of exposure mixtures.GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation.The robustness and efficiency was evaluated under various scenarios through extensive simulation studies.Results We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey(NHANES).In the first application,we examined the effects of 37 nutrients on BMI(2011–2016 cycles).The GFLM identified a significant mixture effect,with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI,respectively.For the second application,we investigated the association between four pre-and perfluoroalkyl substances(PFAS)and gout risk(2007–2018 cycles).Unlike traditional methods,the GFLM indicated no significant association,demonstrating its robustness to multicollinearity.Conclusion GFLM framework is a powerful tool for mixture exposure analysis,offering improved handling of correlated exposures and interpretable results.It demonstrates robust performance across various scenarios and real-world applications,advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology. 展开更多
关键词 Mixture exposure modeling Functional data analysis High-dimensional data Correlated exposures Environmental epidemiology
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Ecological Function Zoning Based on Ecosystem Health Assessment:A Case Study in Qinghai and Xizang,China 认领 引用 被引量：1
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作者 JIA Zixu WANG Xiaofeng +9 位作者 LIN Tao YAO Wenjie MA Jiahao ZHOU Jitao WANG Xiaoxue ZHANG Xinrong TU You SUN Zechong FENG Xiaoming NG Matthew Kok Ming 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第3期460-476,共17页
Incorporating ecosystem health(EH)assessment into ecological function zoning(EFZ)provides a scientific basis for regional ecosystem management.This study quantitatively assessed EH in Qinghai and Xizang(QX)of China du... Incorporating ecosystem health(EH)assessment into ecological function zoning(EFZ)provides a scientific basis for regional ecosystem management.This study quantitatively assessed EH in Qinghai and Xizang(QX)of China during 2000–2023 using the vigor-organization-resilience-services(VORS)model across multiple spatial scales(raster,town,county,and basin),and examined spatial clustering patterns using spatial autocorrelation.EH indicators were then integrated with ecological sensitivity to delineate ecological function zones using self-organizing feature mapping(SOFM),and path analysis was applied to identify dominant drivers of EH across different zones.Results showed that:1)EH in QX generally improved over time but exhibited pronounced scale dependence and spatial heterogeneity.A stable large-scale gradient of‘higher in the east and lower in the north’was observed across all scales,while temporal variations were more evident at finer scales and became attenuated at coarser scales.2)EH displayed significant positive spatial autocorrelation dominated by‘High-High’and‘Low-Low’associations,although clustering strength declined over time,especially at finer spatial resolutions.3)QX was designated as five ecological function zones,named using a three-part scheme(geographic sectordominant ecosystem type-primary function):North-Alpine desert-Sand fixation zone(ZoneⅠ),West-Alpine desert steppe-Ecological fragile zone(ZoneⅡ),Southwest-Alpine steppe and meadow-Water sensitive zone(ZoneⅢ),East-Alpine meadow-Water yield zone(ZoneⅣ),and Southeast-Tropical seasonal rainforest-Ecosystem services provisioning zone(ZoneⅤ).4)At the raster scale of the entire study area,temperature and proportion of forestland area were the most influential factors associated with EH,while NDVI and the proportion of grassland area played relatively smaller roles.Across zones,the dominant drivers of EH differed,reflecting clear spatial heterogeneity in ecosystem regulation mechanisms.These findings demonstrate the value of integrating EH assessment into EFZ and provide scientific support for differentiated ecosystem management and conservation strategies in QX. 展开更多
关键词 ecosystem health vigor-organization-resilience-services(VORS)model ecological function zoning self-organizing feature mapping(SOFM) Qinghai and Xizang,China
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Optimizing basis wave functions in the generator coordinate method for microscopic cluster models (Ⅰ) 认领 引用
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作者 Yi‑Fan Liu Bo Zhou Yu‑Gang Ma 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2025年第10期183-191,共9页
We employed random distributions and gradient descent methods for the Generator Coordinate Method(GCM)to identify effective basis wave functions,taking halo nuclei 6He and 6Li as examples.By comparing the ground... We employed random distributions and gradient descent methods for the Generator Coordinate Method(GCM)to identify effective basis wave functions,taking halo nuclei 6He and 6Li as examples.By comparing the ground state(0+)energy of 6He and the excited state(0+)energy of 6 Li calculated with various random distributions and manually selected generation coordinates,we found that the heavy tail characteristic of the logistic distribution better describes the features of the halo nuclei.Subsequently,the Adam algorithm from machine learning was applied to optimize the basis wave functions,indicating that a limited number of basis wave functions can approximate the converged values.These results offer some empirical insights for selecting basis wave functions and contribute to the broader application of machine learning methods in predicting effective basis wave functions. 展开更多
关键词 Generator Coordinate Method Effective basis wave functions Nuclear cluster model Machine learning Halo nuclei
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Size-dependent axisymmetric bending and buckling analysis of functionally graded sandwich Kirchhoff nanoplates using nonlocal strain gradient integral model 认领 引用
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作者 Chang LI Hai QING 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI CSCD 2025年第3期467-484,共18页
This paper extends the one-dimensional(1D)nonlocal strain gradient integral model(NStraGIM)to the two-dimensional(2D)Kirchhoff axisymmetric nanoplates,based on nonlocal strain gradient integral relations formulated al... This paper extends the one-dimensional(1D)nonlocal strain gradient integral model(NStraGIM)to the two-dimensional(2D)Kirchhoff axisymmetric nanoplates,based on nonlocal strain gradient integral relations formulated along both the radial and circumferential directions.By transforming the proposed integral constitutive equations into the equivalent differential forms,complemented by the corresponding constitutive boundary conditions(CBCs),a well-posed mathematical formulation is established for analyzing the axisymmetric bending and buckling of annular/circular functionally graded(FG)sandwich nanoplates.The boundary conditions at the inner edge of a solid nanoplate are derived by L'H?spital's rule.The numerical solution is obtained by the generalized differential quadrature method(GDQM).The accuracy of the proposed model is validated through comparison with the data from the existing literature.A parameter study is conducted to demonstrate the effects of FG sandwich parameters,size parameters,and nonlocal gradient parameters. 展开更多
关键词 size effect nonlocal strain gradient integral model(NStraGIM) bending buckling Kirchhoff annular/circular nanoplate functionally graded(FG)sandwich material
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A new supersonic rough-wall RANS model towards accurate drag and heat flux prediction 认领 引用
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作者 Yuhan WANG Zepeng YANG +2 位作者 Xinliang GUO Wanli SHI Zhenxun GAO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第6期56-72,共17页
The effects of Mach number(Ma∞)and wall-to-recovery temperature ratio(Tw/Taw)on supersonic rough-wall turbulent boundary layers are investigated using Direct Numerical Simulation(DNS).DNS results indicate that ... The effects of Mach number(Ma∞)and wall-to-recovery temperature ratio(Tw/Taw)on supersonic rough-wall turbulent boundary layers are investigated using Direct Numerical Simulation(DNS).DNS results indicate that both drag and heat flux increments induced by roughness increase as Ma∞increases and decrease as Tw/Tawdecreases,with the heat flux increment smaller than the drag increment.The classical roughness function,originally developed for incompressible flows,is inadequate for supersonic flows,as the downward shift of velocity profile is influenced by Tw/Taw.A new supersonic roughness function is proposed to account for this effect.Additionally,Wilcox’s rough-wall k-ωmodel is evaluated for supersonic flows,revealing maximum prediction errors of 29.3%for drag and 81.4%for heat flux.A new supersonic rough-wall Reynolds-Averaged Navier-Stokes(RANS)model is proposed by utilizing the supersonic roughness function and adding a compressible correction factorαto theωboundary.The drag prediction error is reduced to<4%.Besides,heat flux decomposition analysis suggests that both turbulent heat transport and Reynolds stress work terms in RANS energy equation need modification to improve heat flux prediction.By reducing these two terms by a factor ofβr,heat flux prediction error is reduced from 81.4%to 7.7%. 展开更多
关键词 Roughness effect Roughness function Supersonic flow Turbulent flow Turbulence model
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Structural-state integrated modeling of multi-mechanism formation damage during drilling-completion 认领 引用
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作者 Ke-Ming Sheng Guan-Cheng Jiang +2 位作者 Ming-Liang Du Lan Qiao Yin-Bo He 《Petroleum Science》 SCIE EI CAS CSCD 2026年第4期1929-1954,共26页
To address the modeling fragmentation and predictive deviation caused by the conventional"singlemechanism,weakly coupled,additive response"approach in formation damage research,this study proposes an integra... To address the modeling fragmentation and predictive deviation caused by the conventional"singlemechanism,weakly coupled,additive response"approach in formation damage research,this study proposes an integrated modeling framework for multi-mechanism coupling throughout the entire drilling and completion process.Five dominant damage mechanisms are unified into a multi-physics formulation featuring a dual solid–liquid module architecture and a shared-state coupling mechanism.A structural-state integrated damage function(SSIDF)is introduced to establish a continuous mapping from microscopic mechanism evolution to macroscopic permeability degradation.A feedback network encompassing scaling,clay swelling,and water blocking is further developed,achieving bidirectional dynamic coupling among reaction kinetics,interfacial transport,and saturation fields,and representing one of the most systematic coupling schemes currently known.The model is solved via a space-time multi-scale optimization strategy,ensuring strong numerical stability and scalability.Field validation demonstrates a prediction accuracy of 98.6%,representing an improvement of over 8%compared to traditional additive models.The model is particularly applicable to unconventional reservoirs such as deepwater formations,where multi-mechanism damage evolves rapidly and conventional additive models fail to capture dynamic coupling behavior. 展开更多
关键词 Drilling and completion integration Unified modeling Multi-mechanism coupling Structural-state integrated damage function(SSIDF) Feedback network Structural disturbance function
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Multitype Game Optimisation:A Two-Stage Fine-Tuning Framework for Multi-Game Optimisation With Large Language Models 认领 引用
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作者 Xiali Li Jingshi Gu +3 位作者 Feifan He Yang Xiao Yuanli Jia Ping Lan 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2026年第3期739-753,共15页
Large language models(LLMs)have made remarkable advances in natural language processing,demonstrating great potential in modelling structured sequences.However,adapting these capabilities to machine gaming tasks such ... Large language models(LLMs)have made remarkable advances in natural language processing,demonstrating great potential in modelling structured sequences.However,adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.This paper presents multitype game optimisation(MyGO),a two-stage fine-tuning framework tailored for two-player perfect information board games,exploring the applicability of LLMs to nonlinguistic decision-making domains.In the supervised fine-tuning stage,we propose a unified structural encoding method,action semantic unit(ASU),which efficiently converts heterogeneous game records into discrete token sequences compatible with LLMs.In the reinforcement learning stage,we design TA-PPO(token-level adaptive proximal policy optimisation),an enhanced PPO-based algorithm to address the issue of sparse feedback commonly encountered in game reinforcement learning.Experimental results demonstrate that the fine-tuned models achieve superior or comparable performance to traditional game-playing algorithms in terms of strategy quality,rule generalisation and inference efficiency.This work provides a scalable paradigm for fine-tuning LLMs in complex decision-making tasks and lays a foundation for future research in game AI and generalisable strategy optimisation. 展开更多
关键词 computer game fine‐tuning large language models reinforcement learning reward function
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Unified light-thermal-diffusion coupling multi-mechanism kinetic model for gas-solid photocatalytic CO2 reduction with experimental and simulation validation 认领 引用
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作者 Shicheng Liu Du Wen +5 位作者 Jing Xiang Ng Junbo Yu Xiangyu Chen Lehang Chen Qulan Zhou Na Li 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第6期854-867,I0020,共14页
Photocatalytic CO2 reduction in gas–solid systems is a complex process that requires the integrated consideration of illumination,photocatalytic performance,and gas diffusion on the catalyst surface.Oversimplifica... Photocatalytic CO2 reduction in gas–solid systems is a complex process that requires the integrated consideration of illumination,photocatalytic performance,and gas diffusion on the catalyst surface.Oversimplification of these factors in existing computational fluid dynamics models severely compromises their predictive capability under realistic reaction conditions.To address this limitation,this study develops a multi-mechanism kinetic model that integrates photoexcitation,Arrhenius thermal activation,Langmuir adsorption saturation,and Thiele diffusion resistance within a unified kinetic expression.Model parameters were constrained and validated using a combination of first-principles calculations and multiscale optical,spectroscopic,adsorption,and transport measurements in a tree-shaped uniform-flow reactor.Photocatalytic experiments of four distinct catalysts are then used to validate the multi-mechanism kinetic model,with R2 above 0.98.Under model-derived conditions,the operation of the tree-shaped reactor achieve an optimal conversion rate of 116.7μmol g-1h-1.The model reliably predicts the experimental rates across a wide range of operating conditions.It also accurately captures the optimal space velocity range and the promotional effect of increasing temperature.This work offers a generalizable framework for the theoretical understanding,modelling,and scale-up of photocatalytic CO2 conversion systems. 展开更多
关键词 Photocatalytic CO2conversion Multi-mechanism kinetic model Density functional theory Experiment validation
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