A study on the quantification and impact mechanism of regional ecological compensation based on revised carbon accounts: evidence from the Yellow River Basin economic zone in China by Hang Xu, Ruiyang Li

“…Second, ecocompensation credits are characterised mostly by low-high and low-low agglomeration; nevertheless, their regional distribution is uneven. …”
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A Comparative Study on Acoustic Characteristics of Methane and Tetrahydrofuran Hydrate-Bearing Sediments by Wengao Zhao, Qingtao Bu, Zihao Wang, Tong Liu, Qingguo Meng, Yapeng Zhao, Gaowei Hu

“…In addition, THF hydrate has a slow-velocity growth at low saturation and is dominated by a pore-filling model and a load-bearing model at high saturation. …”
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The association between ozone exposure and blood pressure in a general Chinese middle-aged and older population: a large-scale repeated-measurement study by Chen Tang, Yiqin Zhang, Jingping Yi, Zhonghua Lu, Xianfa Xuan, Hanxiang Jiang, Dongbei Guo, Hanyu Xiang, Ting Wu, Jianhua Yan, Siyu Zhang, Yuxin Wang, Jie Zhang

“…The mediating role of total cholesterol (TC), serum total bilirubin (STB), triglyceride (TG), and low-density lipoprotein (LDL) were examined using multilevel mediation analysis with a fully adjusted model. …”
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Investigating Spatial Heterogeneity Patterns and Coupling Coordination Effects of the Cultural Ecosystem Service Supply and Demand: A Case Study of Taiyuan City, China by Xin Huang, Cheng Li, Jie Zhao, Shuang Chen, Minghui Gao, Haodong Liu

“…This study establishes an integrated framework by synthesizing multi-source geospatial data, socioeconomic indicators, and the Maximum Entropy (MaxEnt) model to investigate the spatial dynamics of CESs in Taiyuan City. …”
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A morpho-density approach to estimating neural connectivity. by Michael P McAssey, Fetsje Bijma, Bernadetta Tarigan, Jaap van Pelt, Arjen van Ooyen, Mathisca de Gunst

“…We use a morpho-density field approach applied to a vast ensemble of model-generated neurons. A morpho-density field (MDF) describes the distribution of neural mass in the space around the neural soma. …”
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Deep learning approach for automated hMPV classification by Sivarama Prasad Tera, Ravikumar Chinthaginjala, Irum Shahzadi, Priya Natha, Safia Obaidur Rab

“…To address the lack of real-world patient data, simulated image datasets were used for model training and evaluation, allowing the model to generalize to various clinical scenarios. …”
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Predicting wildlife corridors for multiple species in an East African ungulate community. by Jason Riggio, Katie Foreman, Ethan Freedman, Becky Gottlieb, David Hendler, Danielle Radomille, Ryan Rodriguez, Thomas Yamashita, John Kioko, Christian Kiffner

“…Overall, we show that multi-species corridors based on stacked species distribution models achieve relatively low cumulative costs for savanna ungulates as compared to their respective single-species corridors. …”
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Deep Fuzzy Credibility Surfaces for Integrating External Databases in the Estimation of Operational Value at Risk by Alejandro Peña, Lina M. Sepúlveda-Cano, Juan David Gonzalez-Ruiz, Nini Johana Marín-Rodríguez, Sergio Botero-Botero

“…Following the above, this paper develops and analyzes a Deep Fuzzy Credibility Surface model (DFCS), which allows the integration in a single structure of different loss event databases for the estimation of an operational value at risk (OpVar), overcoming the limitations imposed by the low frequency with which a risk event occurs within an organization (sparse data). …”
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Subsurface Cavity Imaging Based on UNET and Cross–Hole Radar Travel–Time Fingerprint Construction by Hui Cheng, Yonghui Zhao, Kunwei Feng

“…To enhance real–world applicability, transfer learning (TL) is employed to fine–tune the model using a small amount of field data. The refined model is then tested on cross–hole radar datasets collected from a highway construction site in Guizhou Province, China. …”
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Causal Relationships between Academic Procrastination, Emotion Regulation and Academic Well-Being in Student: A Gender Diffrence Test by Atiyeh Motevassel, Jalil Fathabadi, Omid Shokri

“…The results showed that the model fit the data very well (Table 2).Conclusion­The present study aimed to examine the gender equivalence of a model exploring the mediating role of cognitive emotion regulation strategies in the relationship between academic procrastination and academic well-being (burnout and engagement). …”
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An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro by David Hanny, Dorian Arifi, Steffen Knoblauch, Bernd Resch, Sven Lautenbach, Alexander Zipf, Antonio Augusto de Aragão Rocha

“…Additionally, we contextualise this information by correlating dependence scores and model error with 15 socio-demographic variables such as ethnic distribution and social development. …”
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Examining the effectiveness of dissuasive taxes as a policy tool for reducing tobacco and alcohol consumption in Cameroon: A welfare and microsimulation analysis by Paul Tadzong Mouafo, Hilaire Nkengfack, Rodrigue Nobosse Tchoffo, Nelson Derrick Nguepi, Edmond Noubissi Domguia

“…Our methodology is based on a dynamic computable general equilibrium (CGE) model enriched with an addiction model. The results indicate that deterrent taxes can significantly reduce the consumption of these harmful products but also have regressive effects on low-income households. …”
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Bayesian distances for quantifying tensions in cosmological inference and the surprise statistic by Benedikt Schosser, Pedro Riba Mello, Miguel Quartin, Bjoern Malte Schaefer

“…For this purpose, we start with statistical divergences applied to posterior distributions following from different data sets and develop the theory of a Fisher metric between two data sets, in analogy to the Fisher metric for different parameter choices. …”
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National-scale tree species mapping with deep learning reveals forest management insights in Germany by Yang Mu, Jianhua Guo, Muhammad Shahzad, Xiao Xiang Zhu

“…However, mapping species over large areas with satellite data is challenging due to spectral mixing and complex spatial distribution. …”
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Retrieval of leaf area index from the Landsat surface reflectance using multi-task adversarial transfer learning by Juan Li, Zhiqiang Xiao, Rui Sun, Jinglin Song, Chenhui Shi

“…However, for deep learning-based LAI retrieval methods, a training dataset composed of sensor data with a moderate or low spatial resolution cannot be directly applied to derive LAI from high-spatial-resolution sensor data due to distribution discrepancies between different sensor data. …”
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Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm by Jiayi Tong, Jenna M. Reps, Chongliang Luo, Yiwen Lu, Lu Li, Juan Manuel Ramirez-Anguita, Milou T. Brand, Scott L. DuVall, Thomas Falconer, Alex Mayer Fuentes, Xing He, Michael E. Matheny, Miguel A. Mayer, Bhavnisha K. Patel, Katherine R. Simon, Marc A. Suchard, Guojun Tang, Benjamin Viernes, Ross D. Williams, Mui van Zandt, Fei Wang, Jiang Bian, Jiayu Zhou, David A. Asch, Yong Chen

“…Abstract The widespread adoption of real-world data has given rise to numerous healthcare-distributed research networks, but multi-site analyses still face administrative burdens and data privacy challenges. …”
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Spatio-temporal Characteristics of Coupling Coordination Between Rural Revitalization and Sustainable Land Use in China During 2010—2019 by Li Bing, Zhou Xing, Chen Haiping

“…The coupling degree and coordination degree model and spatial autocorrelation model method were used to analyze the data. …”
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Logistics Hub and Route Optimization in the Physical Internet Paradigm by Hisatoshi Naganawa, Enna Hirata, Nailah Firdausiyah, Russell G. Thompson

“…The model is tested with real data simulations to evaluate its performance. …”
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ASD-YOLO: a lightweight network for coffee fruit ripening detection in complex scenarios by Baofeng Ye, Baofeng Ye, Renzheng Xue, Renzheng Xue, Haiqiang Xu, Haiqiang Xu

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Parallel tempered Bayesian inference for characterizing non-ideal semiconductors: Carrier trapping in cadmium telluride thin films by Calvin Fai, Anthony J.C. Ladd, Charles J. Hages, Gregory A. Manoukian, Jason B. Baxter

“…Our results show that the standard carrier transport model cannot explain the observed decay of time-resolved photoluminescence (TRPL) data from CdTe films and that there is carrier trapping within low-lying defect states. …”
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