Air pollution, temperature and mumps: A time-series study of independent and interaction effects by Haoyue Cao, Rongrong Xu, Xiqian Lu, Wenguo Jiang, Lihua Wang, Miao Yu, Wenjun Wang, Juxiang Yuan

“…Distributed lag models combined with quasi-Poisson regressions were applied to examine these associations. …”
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An Analysis of Spatial Variation in Human Impact on Forest Ecological Functions by Qingjun Wu, Liyong Fu, Ram P. Sharma, Yaquan Dou, Xiaodi Zhao

“…The high–high areas are primarily clustered in the southern and central mountainous areas, whereas low–low areas are distributed in the upstream warm temperate steppe and desert-grassland regions. …”
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Construction of a stromal cell-related prognostic signature based on a 101-combination machine learning framework for predicting prognosis and immunotherapy response in triple-nega... by Fanrong Li, Congnan Jin, Yacheng Pan, Zheng Zhang, Liying Wang, Jieqiong Deng, Yifeng Zhou, Yifeng Zhou, Binbin Guo, Shenghua Zhang, Shenghua Zhang

“…Cell types preferentially distributed in TNBC were identified using odds ratios (OR). …”
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Gas Consumption Accounting and Prediction for Medium and Thick Steel Slabs: A Method Combining Batch Integrity and Heat Absorption Ratio by Qiang Guo, Xinyu Liang, Kai Wang, Yong Song

“…In the prediction phase, XGBoost models are employed to predict batch gas consumption, with results distributed to individual slabs using the heat absorption ratio.…”
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Research on multi-scale digital core construction of carbonate rock with fractures and caves characteristics: a case study of Dengying formation carbonate rocks in Sichuan Basin by Geli Li, Jianbin Zhao, Yuejiao Liu, Zhanshan Xiao, Shitao Cui, Bo Wei, Chenjun Zhang, Yakun Mao, Yang Xia, Lei Xu, Jianmeng Sun, Zuzhi Hu

“…A well-developed cave was extracted from low-resolution CT data and used as a cave digital core. …”
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Achieving decarbonization goals in BRICS economies: Revisiting the joint role of composite risk index, green innovation, and environmental policy stringency by Maxwell Chukwudi Udeagha, Nicholas Ngepah

“…The study uses the second-generation cross-sectionally augmented autoregressive distributed lags (CS-ARDL) framework for testing long- and short-run models and addressing the issues of cross-sectional dependency and slope heterogeneity in the data set utilized for analysis. …”
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Research on laser point cloud classification based on Light-BotNet by Lei Genhua, Wang Lei, Zhang Zhiyong

“…Aiming at the problems of low classification efficiency and low classification accuracy of the existing deep learning Network framework for laser point cloud data, a CNN Transform framework based on laser point cloud feature image and Light-BotNet is proposed. …”
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A novel seismic inversion method based on multiple attributes and machine learning for hydrocarbon reservoir prediction in Bohai Bay Basin, Eastern China by Zongbin Liu, Jianmin Zhu, Bo Tian, Rui Zhang, Yongheng Fu, Yuan Liu, Lixin Wang

“…Compared to traditional seismic inversion methods, our method requires less data. This approach may find a wider application, especially at offshore oilfields with few wells data and low quality seismic data.…”
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Exploration of slope-type geological hazard susceptibility evaluation based on dynamic correction of SBAS-InSAR technology: A case study of Kang County in Gansu Province by Rongwei Li, Pengwei Wang, Shucheng Tan, Yangbiao Zhou, Lifeng Liu, Chaodong Gou, Yalan Yu

“…This correction framework corrects the susceptibility results of the Random Forest (RF) model, which is based on 12 static factors and historical hazard data, using surface deformation data measured by the SBAS-InSAR technique. …”
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The neural code for auditory space depends on sound frequency and head size in an optimal manner. by Nicol S Harper, Brian H Scott, Malcolm N Semple, David McAlpine

“…The optimal-coding model predicts that distributions of best ITDs depend on head size and sound frequency: for high frequencies and large heads it resembles the classic model, for low frequencies and small head sizes it resembles the bimodal model. …”
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Seasonal influenza vaccination for children in Thailand: a cost-effectiveness analysis. by Aronrag Meeyai, Naiyana Praditsitthikorn, Surachai Kotirum, Wantanee Kulpeng, Weerasak Putthasri, Ben S Cooper, Yot Teerawattananon

“…We adopted a Bayesian evidence-synthesis framework, expressing uncertainty in parameters through probability distributions derived by fitting the model to prospectively collected laboratory-confirmed influenza data from 2005-2009, by meta-analysis of clinical trial data, and by using prior probability distributions derived from literature review and elicitation of expert opinion. …”
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Research on Wind Turbine Main Shaft Bearing Fault Diagnosis Method Based on Unity 3D and Transfer Learning by Shuai Wang, Wenlei Sun, Han Liu, Shenghui Bao, Yunhao Wang, Xin Zhao

“…The state monitoring visualization is limited, fault data and sample labels are scarce, and fault data distribution varies under different operational conditions, leading to low diagnosis accuracy and slow diagnosis speed. …”
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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…However, these fixed graphs may limit the model’s expressiveness. Additionally, many NMF variants face challenges when dealing with complex data distributions and are vulnerable to noise and outliers. …”
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Improvement of Power Quality of Grid-Connected EV Charging Station Using Grid-Component Based Harmonic Mitigation Technique by Anum Mehmood, Fan Yang

“…To minimize power harmonics in a low-voltage network, there is a dire need of in-depth mathematical and technical calculations for each electrical equipment involved in the modeling of a distribution grid. …”
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Multi-Level Spectral Attention Network for Hyperspectral BRDF Reconstruction from Multi-Angle Multi-Spectral Images by Liyao Song, Haiwei Li

“…With the rapid development of hyperspectral applications using unmanned aerial vehicles (UAVs), the traditional assumption that ground objects exhibit Lambertian reflectance is no longer sufficient to meet the high-precision requirements for quantitative inversion and airborne hyperspectral data applications. Therefore, it is necessary to establish a hyperspectral bidirectional reflectance distribution function (BRDF) model suitable for the area of imaging. …”
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Food insecurity and food bank use: who is most at risk of severe food insecurity and who uses food banks? by Elisabeth A Garratt, Beth Armstrong

“…Design: This pooled cross-sectional study analysed the characteristics of adults experiencing food insecurity of differing severity using generalised ordinal logistic regression models and the characteristics of adults using food banks using logistic regression models, using data from three waves of the Food and You 2 surveys, 2021–2023. …”
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Wind Power Prediction considering Ramping Events Based on Generative Adversarial Network by Qiyue Huang

“…Characterized by wide distribution, low cost, and well-rounded technology, it has achieved fast-growing installed capacity in recent years. …”
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Spatial and Temporal Characterization of Near Space Temperature and Humidity and Their Driving Influences by Wenhui Luo, Jinji Ma, Miao Li, Haifeng Xu, Cheng Wan, Zhengqiang Li

“…The findings of this study contribute to a deeper understanding of the temperature and humidity variation characteristics in near space and provide valuable data and model references for predicting three-dimensional parameters of temperature and humidity in this region.…”
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Bidirectional effect modifications of temperature and PM2.5 on myocardial infarction morbidity and mortality in Beijing, China from 2007 to 2021 by Piaopiao Hu, Qinghui Zeng, Jie Chang, Moning Guo, Feng Lu, Yue Qi, Zhao Yang, Pingping Jia, Qiuju Deng, Jing Liu

“…A conditional logistic regression model combined with a distributed lag non-linear model was used to examine linear and categorical effect modifications of temperature and PM2.5 on MI morbidity and mortality. …”
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Solar parking lot capacity: an abundant dual-use alternative to meet demand for the renewable energy transition by Scott Markwith

“…The objective of this research was to estimate whether solar photovoltaic (PV) systems installed in parking lots can meet electricity demands across multiple urban and suburban metropolitan areas within the US. Parking lot data across four municipalities with variation in latitude, solar radiation, and population density was obtained, along with modeled annual electricity demand by sector. …”
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