检索结果-内蒙古大学图书馆

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

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

Association Between Climatic Factors and Varicella Incidence inWuxi, East China, 2010-2019:Surveillance Study

引用

JMIR PUBLIC HEALTH AND SURVEILLANCE 2024年 10卷 e62863页

作者： Zhang, Kehong Shen, Ganglei Yuan, Yue Shi, Chao Nanjing Univ Chinese Med Dept Publ Hlth Wuxi Hosp Wuxi Peoples R China Nanjing Univ Chinese Med Dept Anorectal Surg Wuxi Hosp Wuxi Peoples R China Wuxi Ctr Dis Control & Prevent Dept Acute Infect Dis Wuxi Peoples R China Nanjing Univ Chinese Med Dept Orthoped Wuxi Hosp Room 707Bldg 58 Zhongnan West Rd Wuxi 214071 Peoples R China

Background:Varicella is a common infectious disease and a growing public health concern in China, with increasing outbreaks in Wuxi. Analyzing the correlation between climate factors and varicella incidence in Wuxi is crucial for guiding public health prevention efforts. Objective:This study examines the impact of meteorological variables on varicella incidence in Wuxi, eastern China, from 2010 to 2019, offering insights for public health interventions. Methods:We collected daily meteorological data and varicella case records from January 1, 2010, to December 31, 2019, in Wuxi, China. generalized cross-validation identified optimal lag days by selecting those with the lowest score. The relationship between meteorological factors and varicella incidence was analyzed using Poisson generalized additive models and segmented linear regression. Subgroup analyses were conducted by gender and age. Results:The study encompassed 64,086 varicella cases. Varicella incidence in Wuxi city displayed a bimodal annual pattern, with peak occurrences from November to January of the following year and lower peaks from May to June. Several meteorological factors influencing varicella risk were identified. A decrease of 1 degrees C when temperatures were <= 20 degrees C corresponded to a 1.99% increase in varicella risk (95% CI 1.57-2.42, P<.001). Additionally, a decrease of 1 degrees C below 22.38 degrees C in ground temperature was associated with a 1.36% increase in varicella risk (95% CI 0.96-1.75, P<.001). Each 1 mm increase in precipitation above 4.88 mm was associated with a 1.62% increase in varicella incidence (95% CI 0.93-2.30, P<.001). A 1% rise in relative humidity above 57.18% increased varicella risk by 2.05% (95% CI 1.26-2.84, P<.001). An increase in air pressure of 1 hPa below 1011.277 hPa was associated with a 1.75% rise in varicella risk (95% CI 0.75-2.77, P<.001). As wind speed and evaporation increased, varicella risk decreased linearly with a 16-day lag. Varicella ri

关键词： varicella meteorological factors generalized additive model Segmented Linear Regression model China meteorology regression statistics surveillance

来源：评论

学校读者我要写书评

暂无评论

Association between outdoor air pollutants and risk of acute exacerbation of chronic obstructive pulmonary disease in Xi'an, China

引用

AIR QUALITY ATMOSPHERE AND HEALTH 2024年第7期17卷 1373-1390页

作者： Fan, Xinping Jie, Xueyan Zou, Fan Wang, Dan Da, Hongju Li, Hongxin Zhao, Hongyan He, Jin Liu, Jianghao Lu, Yiyi Liu, Yun Xi An Jiao Tong Univ Affiliated Hosp 2 Dept Resp & Crit Care Med Xian 710004 Shaanxi Peoples R China Xi An Jiao Tong Univ Dept Pulm & Crit Care Med Hosp 9 Xian 710054 Shaanxi Peoples R China

Attention has been paid to the association between outdoor air pollutants and acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Xi'an has special basin topography and meteorological conditions as well as developed industries. All these make the outdoor air pollution in Xi 'an serious. Thus, we wish to assess the association between outdoor air pollutants and AECOPD in Xi'an, China. Daily AECOPD inpatient and outpatient visits in 2018 were collected from the eight first-class large general hospitals at grade 3. Data on pollutants and weather conditions in Xi 'an from January 1 to December 31, 2018 were accessed from Xi 'an Environmental Protection Bureau and Xi 'an Meteorological Bureau. Spearman rank correlation, linear regression, and generalized additive models were used for data analysis. Outdoor air pollutants (PM10, PM2.5, SO2, NO2, and CO) increase the risk of AECOPD. The impact of air pollutants on AECOPD patients has a hysteresis effect. PM10, PM2.5, CO, and NO2 are associated with acute exacerbation in female COPD patients. PM10, PM2.5, CO, SO2, and NO2 are associated with acute exacerbation in old COPD patients (70 < age <= 80 years old). CO is associated with acute exacerbation in COPD Patients with eosinophils absolute count >= 300/mu L. PM10 is associated with acute exacerbation in COPD patients with eosinophils absolute count < 100/mu L. Exposure to PM10, PM2.5, SO2, NO2, and CO is positively associated significantly with hospital visits for AECOPD in Xi'an. Various air pollutants have different associations with different types of AECOPD patients. The relationship between O-3 and AECOPD still needs to be further explored.

关键词： Outdoor air pollutants Acute exacerbation of chronic obstructive pulmonary disease Daily inpatient and outpatient visits generalized additive model

来源：评论

学校读者我要写书评

暂无评论

Umbilical Cord Blood Gas Pairs with Near-Identical Results: Probability of Arterial or Venous Source

引用

AMERICAN JOURNAL OF PERINATOLOGY 2024年第11期41卷 1521-1531页

作者： Monneret, Denis Stavis, Robert L. L. Hosp Civils Lyon HCL Serv Biochim & Biol Mol Lab Biol Med Multis LBMMS Lyon France Grand Rounds Software LLC 404 Valley Glen Dr Bryn Mawr PA 19010 USA

Objective In studies of concomitant arterial-venous umbilical cord blood gases (CAV-UBGs), approximately 10% of technically valid samples have very similar pH and/or pCO (2) values and were probably drawn from the same type of blood vessel. Without a way to objectively determine the source in these cases, it has been argued that most of these same-source CAV-UBGs are venous because the vein is larger and more easily sampled than the artery. This study aimed to calculate the probability of an arterial (ProbAS) or venous source (ProbVS) of same-source CAV-UBGs in the clinically and medicolegally important pH range of 6.70 to 7.25 using a statistical predictive model based on the cord blood gas *** Design Starting with a dataset of 56,703 CAV-UBGs, the ProbAS, ProbVS, and respective 95% confidence intervals (CIs) were calculated for the 241 sample pairs with near-identical pH, pCO (2) , and pO (2) values and a pH of 6.70 to 7.25. Using a previously validated generalized additive model, the source was categorized as: Probable Arterial or Highly Probable Arterial if the ProbAS and CIs were >0.5 or >0.8, respectively;Probable Venous or Highly Probable Venous if the ProbVS and CIs were >0.5 or >0.8, respectively;or Indeterminant if the CIs encompassed ProbAS/VS = *** A total of 39% of the same-source CAV-UBGs were Probable Arterial, 56% were Probable Venous, and 5% were Indeterminant. However, considering samples with a pH = 7.19, 80% were Probable Arterial and 16% were Probable Venous. Considering the Highly Probable categories, the more acidemic specimens were 9 times more likely to be arterial than venous. Similarly, CAV-UBGs with pCO (2) > 8.2 kPa (62 mm Hg) or pO (2) = 1.9 kPa (14 mm Hg) were more likely to be in the arterial rather than the venous *** Same-source CAV-UBGs in the more acidemic, hypercarbic, or hypoxemic ranges are more likely to be arterial than venous.

关键词： umbilical cord blood gas arterial venous neonatal acidemia probability generalized additive model GAM

来源：评论

学校读者我要写书评

暂无评论

Association Between Osteoporosis and Adiposity Index Reveals Nonlinearity Among Postmenopausal Women and Linearity Among Men Aged over 50 Years

引用

JOURNAL OF EPIDEMIOLOGY AND GLOBAL HEALTH 2024年第3期14卷 1202-1218页

作者： Chen, Po-Ju Lu, Yueh-Chien Lu, Sheng-Nan Liang, Fu-Wen Chuang, Hung-Yi Kaohsiung Chang Gung Mem Hosp Dept Occupat Med Kaohsiung Taiwan Kaohsiung Chang Gung Mem Hosp Dept Family Med Kaohsiung Taiwan Chang Gung Univ Coll Med Taoyuan Taiwan Kaohsiung Chang Gung Mem Hosp Dept Internal Med Div Hepatogastroenterol Kaohsiung Taiwan Kaohsiung Med Univ Coll Hlth Sci Dept Publ Hlth Kaohsiung Taiwan Kaohsiung Med Univ Kaohsiung Med Univ Hosp Dept Med Res Kaohsiung Taiwan Kaohsiung Med Univ Ctr Big Data Res Kaohsiung Taiwan Kaohsiung Med Univ Hosp Dept Community Med 100 Shi Chuan 1st Rd Kaohsiung 80708 Taiwan Kaohsiung Med Univ Coll Med PhD Program Environm & Occupat Med Kaohsiung Taiwan Kaohsiung Med Univ Res Ctr Precis Environm Med Kaohsiung Taiwan

PurposePrevious research shows conflicting views on the relationship between obesity and osteoporosis, partly due to variations in obesity classification and the nonlinear nature of these relationships. This study investigated the association between adiposity indices and osteoporosis, diagnosed using dual-energy X-ray absorptiometry (DXA), employing nonlinear models and offering optimal thresholds to prevent further bone mineral density *** 2019, a prospective study enrolled males over 50 years and postmenopausal women. Anthropometric measurements, blood biochemistry, and osteoporosis measured by DXA were collected. Associations between adiposity indices and osteoporosis were analyzed using a generalized additive model and segmented regression *** study included 872 women and 1321 men. Indices such as abdominal volume index (AVI), visceral adiposity index (VAI), waist circumference (WC), hip circumference, body mass index (BMI), waist-to-hip ratio, and waist-to-height ratio (WHtR) were inversely associated with osteoporosis. In women, the relationship between the risk of osteoporosis and the adiposity indices was U-shaped, with thresholds of WC = 94 cm, AVI = 17.67 cm2, BMI = 25.74 kg/m2, VAI = 4.29, and WHtR = 0.61, considering changes in bone mineral density. Conversely, men exhibited a linear patterns for the inverse *** impact of obesity and adiposity on osteoporosis varies significantly between women and men. In postmenopausal women, the relationship is nonlinear (U-shaped), with both very low and very high adiposity linked to higher osteoporosis risk. In men over 50, the relationship is linear, with higher adiposity associated with lower osteoporosis risk. The study suggests that maintaining specific levels of adiposity could help prevent osteoporosis in postmenopausal women.

关键词： Obesity Osteoporosis Abdominal volume index Visceral adiposity index generalized additive model Segmented regression model

来源：评论

学校读者我要写书评

暂无评论

Machine learning models application for spatiotemporal patterns of particulate matter prediction and forecasting over Morocco in north of Africa

引用

ATMOSPHERIC POLLUTION RESEARCH 2024年第9期15卷

作者： Eddine, Sbai Salah Drissi, Lalla Btissam Mejjad, Nezha Mabrouki, Jamal Romanov, Aleksey A. Mohammed V Univ Rabat Fac Sci LPHE Modeling & Simulat Rabat Morocco Hassan II Acad Sci & Technol Coll Phys & Chem Sci Km 4Ave Mohammed VI Rabat Morocco Natl Ctr Energy Sci & Nucl Tech Rabat Morocco Mohammed V Univ Fac Sci Lab Spect Mol Modelling Mat Nanomat Water & Enviro CERNE2D Rabat Morocco A 2 Res & Dev Lab Krasnoyarsk 660011 Russia Siberian Fed Univ GIS Dept Krasnoyarsk 660041 Russia

Atmospheric air pollution exposure raises morbidity and mortality rates and is a major cause of the world 's illness burden. In this context, we explored spatial and temporal trends in particulate matter PM10 from 2003 to 2020 over Morocco to assess air pollution exposure. We use the capabilities of ML models to study PM10 trends using 26 predictor variables, including meteorological parameters, volatile organic compounds, atmospheric oxidants, and aerosol optical depth data from the Copernicus Atmosphere Monitoring Service (CAMS). For this purpose, three ML models were built: Multiple Linear Regression (MLR), Random Forest Regression (RFR), and generalized additive model (GAM). To match and optimize these models, a set of ML algorithms has been coupled with each model. The results show all these models are highly accurate in predicting and forecasting PM10 total column trends. Cross -validation showed that GAM had better prediction ability for the PM10 total column with R 2 = 0.994 and a very low root mean squared error (RMSE) not exceeding 0.046 x 10 -16 kg/m 2 . The GAM model showed much higher predictive ability and lower bias than the other models. This finding can be explained by the advantages of GAMs, including their ability to capture complex and non-linear patterns in the data, making them particularly useful when relationships are not easily represented by linear models. This study has presented a comprehensive methodology for predicting the spatiotemporal variability of PM10. The proposed methodology holds potential applicability across all regions, facilitating the generation of high -resolution PM10 monitoring and the establishment of systems for the early detection of air pollution incidents in Morocco. Furthermore, the developed models exhibit versatility, enabling their application for estimating future trends of individual pollutants or making real-time predictions of air quality levels. This research contributes to advancing the understanding and

关键词： Machine learning model Multiple linear regression model Random forest model PM10 generalized additive model Volatile organic compounds Atmospheric oxidants

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：