检索结果-内蒙古大学图书馆

Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood

引用

MOLECULAR AUTISM 2025年第1期16卷 1-14页

作者： Feldman, Daniel Prigge, Molly Alexander, Andrew Zielinski, Brandon Lainhart, Janet King, Jace Univ Utah Dept Biomed Engn Salt Lake City UT 84112 USA Univ Utah Dept Radiol & Imaging Sci Salt Lake City UT 84112 USA Univ Wisconsin Waisman Ctr Madison WI USA Univ Wisconsin Dept Psychiat Madison WI 53706 USA Univ Wisconsin Dept Med Phys Madison WI 53706 USA Univ Florida Dept Pediat Neurol & Neurosci Gainesville FL 32611 USA

Background Divergent age-related functional brain connectivity in autism spectrum disorder (ASD) has been observed using resting-state fMRI, although the specific findings are inconsistent across studies. Common statistical regression approaches that fit identical models across functional brain networks may contribute to these inconsistencies. Relationships among functional networks have been reported to follow unique nonlinear developmental trajectories, suggesting the need for flexible modeling. Here we apply generalized additive models (GAMs) to flexibly adapt to distinct network trajectories and simultaneously describe divergent age-related changes from childhood into mid-adulthood in ASD. Methods 1107 males, aged 5-40, from the ABIDE I & II cross-sectional datasets were analyzed. Functional connectivity was extracted using a network-based template. Connectivity values were harmonized using COMBAT-GAM. Connectivity-age relationships were assessed with thin-plate spline GAMs. Post-hoc analyses defined the age-ranges of divergent aging in ASD. Results Typically developing (TD) and ASD groups shared 15 brain connections that significantly changed with age (FDR-corrected p < 0.05). Network connectivity exhibited diverse nonlinear age-related trajectories across the functional connectome. Comparing ASD and TD groups, default mode to central executive between-network connectivity followed similar nonlinear paths with no group differences. Contrarily, the ASD group had chronic hypoconnectivity throughout default mode-ventral attentional (salience) and default mode-somatomotor aging trajectories. Within-network somatomotor connectivity was similar between groups in childhood but diverged in adolescence with the ASD group showing decreased within-network connectivity. Network connectivity between the somatomotor network and various other functional networks had fully disrupted age-related pathways in ASD compared to TD, displaying significantly different model curvatures

关键词： Autism fMRI Functional connectivity Age-related Cross-sectional generalized additive model

来源：评论

学校读者我要写书评

暂无评论

Dynamic Treatment Effect Analysis in Crossover Designs Through Repeated Measures

引用

STATISTICS IN MEDICINE 2025年第7期44卷 e70070页

作者： Sun, Jianping Guo, Peiran Chen, Xiaoyang Tan, Xianming Univ North Carolina Greensboro Dept Math & Stat Greensboro NC USA Everest Clin Res Co Shanghai Peoples R China Univ North Carolina Chapel Hill Dept Biostat Chapel Hill NC 27599 USA

This paper introduces an extended model that harnesses the power of convolution operations to represent time-varying treatment and carry-over effects in a crossover study design. Unlike the traditional model, the proposed approach unifies the treatment and carry-over effects through time-varying response functions, one for each treatment. The model is not only flexible enough to accommodate a variety of treatment plans, including multiple administrations at different doses, but also allows for the inclusion of more treatment periods. The advantages of this approach are accentuated by its ability to be generalized, to avoid prior assumptions about the carry-over effect, and to maintain consistent estimation and hypothesis testing procedures. In this paper, we explore the details of hypothesis testing under this extended model, focusing in particular on the comparison of two response functions within specified intervals. The goal of this work is to improve the modeling of carry-over effects, thereby strengthening the applicability of the model to a variety of experimental settings.

关键词： carry-over effect convolution operation crossover design generalized additive model time-varying effects

来源：评论

学校读者我要写书评

暂无评论

Reimagining habitat suitability modeling for Pacific saury ( Cololabis saira) in the Northwest Pacific Ocean through acoustic data analysis from fishing vessels

引用

ECOLOGICAL INFORMATICS 2025年 85卷

作者： Xue, Minghua Tong, Jianfeng Ma, Wen Zhu, Zhenhong Wang, Weiqi Lyu, Shuo Chen, Xinjun Shanghai Ocean Univ Coll Marine Living Resource Sci & Management 999 Hucheng Huan RdPudong New Area Shanghai 201306 Peoples R China Natl Engn Res Ctr Ocean Fisheries Shanghai 201306 Peoples R China Minist Educ Key Lab Sustainable Exploitat Ocean Fisheries Reso Shanghai 201306 Peoples R China Xiamen Univ Coll Environm & Ecol Key Lab Minist Educ Coastal & Wetland Ecosyst Xiamen 361005 Peoples R China

The Pacific saury (Cololabis saira) in the Northwest Pacific Ocean holds significant economic value. Understanding the relationship between its distribution and habitat is crucial for ecosystem-based fishery management. Acoustic data from fishing vessels provide a new option for describing the relative abundance of Pacific saury. We transformed opportunity acoustic data collected from Pacific saury fishing vessel during the summer fishing season of 2021 into an acoustic index that is suitable for habitat modeling. The acoustic index was used to develop a habitat suitability index (HSI) model. Meanwhile, generalized additive models were applied to select environmental variables for modeling, and boosting regression tree-weighted analyses were employed to determine the weights of these variables. Instead of traditional fishing effort or catch per unit effort (CPUE) based HSI models, this acoustic index-based model offered an innovative approach with immutable evidence for establishing the relationship between sea surface temperature (SST, degrees C), sea surface temperature gradient (SSTG, degrees C/degrees), sea surface height (SSH, m), and chlorophyll a concentration (Chl, mg/m3) with suitable habitats. The validity of the acoustic index in HSI modeling was tested with the catch data. This study showed that SSH had the most important impact on acoustical relative abundance, followed by SST, Chl and SSTG. The suitability index model determined the optimal habitat ranges for the four environmental variables. Cross-validation results indicated that the HSI model developed using the arithmetic mean method can better predict the distribution of suitable habitats than the geometric mean method. The HSI results matched the catch distribution well. This study contributes to further exploration of the marine variables' impact on suitable fish habitats based on acoustic indices and provides scientific references for ecosystem-based fishery management.

关键词： Habitat suitability index Acoustic index generalized additive model Boosting regression tree Marine variables

来源：评论

学校读者我要写书评

暂无评论

Retrieval of water quality parameters based on IOA-ML models and their response to short-term hydrometeorological factors

引用

JOURNAL OF HYDROLOGY-REGIONAL STUDIES 2025年 57卷

作者： Hu, Wentong Miao, Donghao Zhang, Chi He, Zixian Gu, Wenquan Shao, Dongguo Wuhan Univ State Key Lab Water Resources Engn & Management Wuhan 430072 Peoples R China

Study region: The Honghu Lake (HHL) and Changhu Lake (CHL) in middle China. Study focus: Large-scale and high-precision estimation of water quality parameters (WQPs) is critical in explaining the spatiotemporal dynamics and clarifying their response to short-term hydrometeorological factors. Six machine learning models optimized by intelligent optimization algorithms (IOA-ML) were developed to retrieve WQPs using paired in situ measurements and near-synchronous Sentinel-2 reflectance (Rrs). Furthermore, the response of pixel-based WQPs to short-term hydrometeorological factors were explored by generalized additive model (GAM). New hydrological insights for the region: The results showed that R rs curves were significantly correlated with WQPs concentration, which provided a solid foundation for WQPs retrieval. The best IOA-ML model for total phosphorus (TP), total nitrogen (TN), and permanganate index (CODMn) was extreme gradient boosting optimized by genetic algorithm (GA-XGB), while that for dissolved oxygen (DO) and turbidity was categorical boosting regression optimized by GA (GACBR). Coefficient of determination (R2) of the best retrieval models for the test sets of TP, TN, turbidity, CODMn and DO were 0.545, 0.418, 0.794, 0.798, and 0.653, respectively. The best retrieval models were applied to two big inland lakes and revealed that TP, TN, CODMn, and turbidity in HHL increased rapidly from 2016 to 2022, especially during 2021-2022. 81.4 %91.5 % of the WQPs variations in HHL and 63.4 %-92 % in CHL can be explained by hydrometeorological factors.

关键词： Water quality parameters retrieval IOA-ML models Spatiotemporal dynamics generalized additive model Hydrometeorological factors

来源：评论

学校读者我要写书评

暂无评论

modelling height to crown base using non-parametric methods for mixed forests in China

引用

ECOLOGICAL INFORMATICS 2025年 85卷

作者： Zhou, Zeyu Zhang, Huiru Sharma, Ram P. Zhang, Xiaohong Feng, Linyan Du, Manyi Zhang, Lianjin Feng, Huanying Hu, Xuefan Yu, Yang Chinese Acad Forestry Expt Ctr Forestry North China Beijing 102300 Peoples R China Chinese Acad Forestry Inst Forest Resource Informat Tech State Key Lab Efficient Prod Forest Resources Key Lab Forest Management & Growth ModellingNatl Beijing 100091 Peoples R China Tribhuvan Univ Inst Forestry Kathmandu 44600 Nepal Int Cooperat Ctr Natl Forestry & Grassland Adm Beijing 100714 Peoples R China Beijing Acad Forestry & Landscape Architecture Beijing Key Lab Greening Plants Breeding Beijing 100102 Peoples R China

The height to crown base (HCB) of a tree is a vital characteristic that reflects the self-thinning ability of a tree, and it is used to determine the crown size. and predict the crown recession rate. This study simulated the HCB of Spruce fir broadleaved mixed forest in Northeast China using four non-parametric model approaches: generalized additive model, Cubist, boosted regression tree (BRT), and multiple adaptive regression spline. Because of the different genetic characteristics and growth patterns of different tree species, species-specific tree groups were formed, and the HCB of each species-specific group was simulated by the different models. Relative importance and partial dependence analyses were performed to identify the primary HCB predictors (including tree, stand, stand spatial structure, density and competition factors) and their relationships with the HCB of the four tree species groups. The relative importance was higher for individual tree variables (77.54 %, 31.02 %, 31.12 %, and 73.69 % for coniferous, spruce-fir, hard broadleaved, and soft broadleaved groups, respectively) and stand variables (5.00 %, 20.34 %, 11.03 %, and 8.71 % for coniferous, spruce-fir, hard broadleaved, and soft broadleaved groups, respectively) compared with stand spatial structure variables (4.57 %, 12.14 %, 21.91 %, and 5.89 % for coniferous, spruce-fir, hard broadleaved, and soft broadleaved groups, respectively), density indexes variables (2.17 %, 1.28 %, 4.05 %, and 2.87 % for coniferous, spruce-fir, hard broadleaved, and soft broadleaved groups, respectively), and tree species variables (10.79 %, 35.20 %, 31.90 %, and 8.84 % for coniferous, spruce- fir, hard broadleaved, and soft broadleaved groups, respectively). BRT and Cubist were the best approaches for modelling the four species-group specific HCBs. Although spatial structure variables had minor relative importance, further in-depth investigations are warranted.

关键词： Competition index Gini coefficient Machine learning generalized additive model Tree species-specific group Stand spatial structure

来源：评论

学校读者我要写书评

暂无评论

Effect of ambient O3 on respiratory mortality and synergies with meteorological factors in Shenyang, China

引用

SCIENTIFIC REPORTS 2025年第1期15卷 1-8页

作者： Zhao, Yuhan Ma, Yuxia Liu, Zongrui Wan, Ziyue Jiao, Haoran Feng, Fengliu Cheng, Bowen Lanzhou Univ Coll Atmospher Sci Key Lab Semiarid Climate Change Minist Educ Lanzhou 730000 Peoples R China Liaoning Prov Meteorol Bur Shenyang 111100 Peoples R China

The impact of O-3 on the respiratory system is a significant global problem. Nevertheless, there is insufficient information about its impact on respiratory disorders in northeast China. In this study, we used a generalized additive model (GAM) to determine the correlation between O-3 concentrations and respiratory deaths based on the daily meteorological data, pollutant concentrations, and respiratory deaths from 2014 to 2016 in Shenyang, a typical city in northeast China. Single and cumulative lag structures and seasonal modification were considered to investigate the link between O-3 exposure and respiratory mortality in Shenyang, northeast China. Synergic effects of O-3 and meteorological factors were also evaluated. Results indicated that there was a significant correlation between O-3 and the number of deaths caused by respiratory diseases on a daily basis, regardless of the time delay between exposure and the occurrence of the deaths. A 10 mu g/m(3) rise in O-3 concentration was associated with a 0.85% (95% CI 0.18-1.52%) increase in respiratory death at a lag of 1 day and a 1.43% (95% CI 0.40-2.48%) increase at a cumulative lag of 3 days. Stratified analyses revealed that O-3 had a greater impact on health under warm conditions compared to cold settings. Additionally, O-3 had a more pronounced effect on females than on males. The results for this study could provide some scientific guidance for local environment and health departments.

关键词： O-3 Respiratory mortality generalized additive model Synergistic effects

来源：评论

学校读者我要写书评

暂无评论

Evaluating the implementation of operational readiness and maintenance policies in US army aviation

引用

JOURNAL OF DEFENSE modelING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS 2025年

作者： Semmel, Austin D. Heese, Hans Sebastian Mcconnell, Brandon M. North Carolina State Univ Operat Res Grad Program Raleigh NC USA North Carolina State Univ Mil Operat Res Grp Raleigh NC USA North Carolina State Univ Poole Coll Management Raleigh NC USA North Carolina State Univ Ctr Addit Mfg & Logist Raleigh NC USA

This study examines AH-64 Apache dispatch decisions to assess the implementation of operational readiness (OR) and maintenance policies in the US Army. Current policies are designed to promote a ready and flexible force that is prepared to respond to global force projection requirements. The Army dictates a 75% OR target for aviation equipment and urges units to utilize aircraft uniformly to distribute maintenance capacity and prevent backlog. Given these objectives, we would expect a reduced OR rating to compel fewer sorties and uniformly distributed flying hours over the phase maintenance horizon. However, using a generalized additive model (GAM), findings indicate that diminished OR does not deter flight operations. Moreover, aircraft are more likely to be grounded when approaching scheduled phase maintenance. Further analysis exposes a significant interaction effect;units place greater weight on an aircraft's hours until phase maintenance in the presence of low OR, highlighting a potential risk aversion in decision-making. Interestingly, control variables (the day of the week and reporting period proximity) highly correlate with flight decisions. The findings suggest that current aviation readiness metrics may have an unintended influence on units' resource allocation. Future research should investigate unit-specific decision-making frameworks to improve aviation maintenance and OR efficiency.

关键词： Aviation maintenance operational readiness Army aviation policy generalized additive model

来源：评论

学校读者我要写书评

暂无评论

The association between body temperature and 28-day mortality in sepsis patients: A retrospective observational study

引用

MEDICINA INTENSIVA 2025年第4期49卷 205-215页

作者： Yang, Wei Zhou, Dan Peng, Hui Jiang, Huilin Chen, Weifeng Shenzhen Univ Affiliated Hosp 1 Shenzhen Peoples Hosp 2 Dept Gen Practice 3002 Sungang Rd Shenzhen 518035 Guangdong Peoples R China Guangzhou Med Univ Affiliated Hosp 2 Dept Emergency 250 Changgang East Rd Guangzhou 510260 Guangdong Peoples R China

Objective: This study explored the association between body temperature and 28-day septic ICU hospital mortality. Design: Retrospective cohort analysis. Setting: 208 ICUs in the United States. Patients or participants: Sepsis patients from 2014-2015 eICU Collaborative Research Database. Interventions: Binary logistic regression models, generalized additive model (GAM), Two-Piece Binary Logistic Regression model. Main variables of interest: Body temperature, 28-day inpatient mortality. Results: Nonlinear relationship observed;hypothermia (<= 36.67 degrees C) associated with increased mortality (adjusted OR = 0.74, 95% CI: 0.70-0.80, p < 0.0001). Conclusions: Hypothermia in sepsis correlates with higher mortality;rewarming's potential benefit warrants further exploration. (c) 2024 Published by Elsevier Espana, S.L.U.

关键词： Body temperature Sepsis Nonlinear relationship generalized additive model Smooth curve fitting

来源：评论

学校读者我要写书评

暂无评论

Alignment of words and actions? Government environmental attention and enterprise digital transformation

引用

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 2025年 210卷

作者： Shi, Peihao Huang, Qinghua Wuhan Univ Sch Econ & Management Wuhan 430072 Hubei Peoples R China Southwest Univ Sch Econ & Management Chongqing 400715 Peoples R China

This study employs a unique dataset of A-share listed companies from 2007 to 2021 to investigate the impact of government environmental attention on enterprise digital transformation (EDT) and its underlying mechanisms. Empirical findings document that in response to upholding organizational legitimacy, government environmental attention remarkably favors EDT. This core conclusion remains robust after addressing endogeneity concerns and alternative robustness tests. Mechanism analysis unveils that intensified government environmental attention propels companies to expedite green technology innovation, alleviate financing constraints, and enhance human capital quality, all accelerating EDT. Subsequent investigations indicate that heightened government environmental attention notably impacts EDT more for larger plants and highly polluting industries. In regions with lower financial development, government environmental attention serves as a reliable signaling mechanism, motivating EDT. These findings guide plants in accelerating EDT for enhanced sustainable development while shedding light on the evolving mechanisms of government attention allocation and EDT, which offers insights for future research on the correlation between government actions and corporate environmental governance.

关键词： Environmental attention Digital economy generalized additive model Organizational legitimacy

来源：评论

学校读者我要写书评

暂无评论

Classification using global and local Mahalanobis distances

引用

JOURNAL OF MULTIVARIATE ANALYSIS 2025年 207卷

作者： Ghosh, Annesha Ghosh, Anil K. Saharay, Rita Sarkar, Soham Indian Stat Inst Theoret Stat & Math Unit 203 BT Rd Kolkata 700108 India Univ Calif Santa Barbara Dept Stat & Appl Probabil Santa Barbara CA 93106 USA Indian Stat Inst Interdisciplinary Stat Res Unit 203 BT Rd Kolkata 700108 India

We propose a novel semiparametric classifier based on Mahalanobis distances of an observation from the competing classes. Our tool is a generalized additive model with the logistic link function that uses these distances as features to estimate the posterior probabilities of different classes. While popular parametric classifiers like linear and quadratic discriminant analyses are mainly motivated by the normality of the underlying distributions, the proposed classifier is more flexible and free from such parametric modeling assumptions. Since the densities of elliptic distributions are functions of Mahalanobis distances, this classifier works well when the competing classes are (nearly) elliptic. In such cases, it often outperforms popular nonparametric classifiers, especially when the sample size is small compared to the dimension of the data. To cope with non-elliptic and possibly multimodal distributions, we propose a local version of the Mahalanobis distance. Subsequently, we propose another classifier based on a generalized additive model that uses the local Mahalanobis distances as features. This nonparametric classifier usually performs like the Mahalanobis distance based semiparametric classifier when the underlying distributions are elliptic, but outperforms it for several non- elliptic and multimodal distributions. We also investigate the behavior of these two classifiers in high dimension, low sample size situations. A thorough numerical study involving several simulated and real datasets demonstrate the usefulness of the proposed classifiers in comparison to many state-of-the-art methods.

关键词： generalized additive model Bootstrap HDLSS asymptotics Nonparametric classifier Semiparametric classifier

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：