Spatiotemporal Characteristic of XCO₂ and Its Changing Contribution Rate from Different Influencing Indicators in Mongolian Plateau of Central Asia by Yunga A, Zhengyi Bao, Siqin Tong, Yuhai Bao, Sainbayar Dalantai, Boldbaatar Natsagdorj, Xinle Fan

“…To solve this scientific issue, the synergistic methodology of mathematical statistics—the Pearson correlation and random forest model—was established using the main source of Orbiting Carbon Observatory 2 (OCO-2) satellite data. …”
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Lightweight Detection and Counting of Maize Tassels in UAV RGB Images by Hang Yang, Jiaji Wu, Yi Lu, Yuning Huang, Pinwei Yang, Yurong Qian

“…Experimental results show that on the MTDC-VS dataset, DLMNet achieves a detection accuracy <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>A</mi><mi>P</mi><mn>50</mn></mrow></semantics></math></inline-formula> of 88.4%, which is 1.6% higher than the baseline YOLOv8 model, with a 31.3% reduction in the number of parameters. …”
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Sex differences in prevalence and risk factors of hypertension in India: Evidence from the National Family Health Survey-4. by Krishna Kumar, Sheuli Misra

“…Bivariate distribution was used to show the prevalence of hypertension and, maps were used to present its spatial patterns. Logistic regression model was used to identify sex-specific association between risk factors and hypertension. …”
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1992-2015 Changes and Causes of Carbon Sink in Shenzhen City by Wu Siyu

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A lightweight context-aware framework for toxic mushroom detection in complex ecological environments by Zhanchen Wei, Jiali Wang, Haohai You, Ruiqing Ji, Fude Wang, Lei Shi, Helong Yu

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Social networks and business investment in emerging urban centres in rural Tanzania by Stephen A. Nyaki, Marianne N. Larsen, Fredy T. Kilima, Yonas T. Bahta

“…Methods: Quantitative methods employing Gephi Geolayout and a bivariate probit model, supported by qualitative data, were used to examine spatiality and the influence of social networks on business investment decisions based on a random sample of 755 businesses. …”
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Punching shear capacity of RC flat slabs with steel and superelastic Ni-Ti shape memory shear reinforcement under repeated loads by Mohamed Selim, Khaled Fawzy, Hilal Abdel Kader Mahmoud, Khaled Fawzy Kotb, Mahmoud Zaghlal

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Breast Cancer MRI Classification Based on Fractional Entropy Image Enhancement and Deep Feature Extraction by Ali M. Hasan, Asaad F. Qasim, Hamid A. Jalab, Rabha W. Ibrahim

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Spatiotemporal Dynamics and Future Projections of Carbon Use Efficiency on the Mongolian Plateau: A Remote Sensing and Machine Learning Approach by Xinyu Yang, Qiang Yu, Buyanbaatar Avirmed, Yu Wang, Jikai Zhao, Weijie Sun, Huanjia Cui, Bowen Chi, Ji Long

“…The results indicate the following: (1) significant spatial variation exists, with high-value CUE areas (≥0.7) in the northwest due to favorable climatic conditions, while low-value areas (<0.6) in the east are affected by decreasing precipitation and overgrazing; (2) CUE increased at an annual rate of 1.03%, with a 43% acceleration after the 2005 climate shift, highlighting the synergistic effects of ecological engineering; (3) our findings reveal that the interaction of evapotranspiration and temperature dominates CUE spatial differentiation, with the random forest model accurately predicting CUE dynamics (root mean square error (RMSE) = 0.0819); (4) scenario simulations show the SSP3-7.0 pathway will peak CUE at 0.6103 by 2050, while the SSP5-8.5 scenario will significantly reduce spatial heterogeneity. …”
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Cover crop impacts on soil organic matter dynamics and its quantification using UAV and proximal sensing by Nikolaos-Christos Vavlas, Rima Porre, Liang Meng, Ali Elhakeem, Fenny van Egmond, Lammert Kooistra, Gerlinde B. De Deyn

“…Thereto, we used Random Forest (RF), Support Vector Regression (SVR), and Partial Least Squares (PLS) models and found that the best fitting model depended on the type of spectral sensor. …”
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Detailed Numerical Simulation of Planar Liquid Sheet Atomization: Instability Dynamics, Ligament Formation, and Self-Destabilization Mechanisms by Ziting Zhao, Chenglin Zhou, Jianfeng Zou, Jiaqi Sun, Yufeng Yao

“…This work provides critical insights for refining engineering atomization models through physics-based ligament diameter prediction criteria.…”
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Polska Kronika Filmowa as a source for research on contemporary Polish architecture by Piotr Marciniak

“…It describes the new research options, including the ability to recreate original spatial phenomena, and also the contemporary techniques and technology as well as the educational dimension of the Polish Film Chronicle. …”
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Analysis of ecological environment quality heterogeneity across different landform types in Myanmar and its driving forces by Shuangfu Shi, Shuangyun Peng, Zhiqiang Lin, Ziyi Zhu, Dongling Ma, Yuanyuan Yin, Xiangmei Lu, Ting Li, Luping Gong

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Urban ozone formation and sensitivities to volatile chemical products, cooking emissions, and NO_<i>x</i> upwind of and within two Los Angeles Basin cities by C. E. Stockwell, M. M. Coggon, R. H. Schwantes, C. Harkins, C. Harkins, B. Verreyken, B. Verreyken, B. Verreyken, C. Lyu, C. Lyu, Q. Zhu, Q. Zhu, Q. Zhu, L. Xu, L. Xu, L. Xu, J. B. Gilman, A. Lamplugh, A. Lamplugh, A. Lamplugh, J. Peischl, J. Peischl, J. Peischl, M. A. Robinson, M. A. Robinson, P. R. Veres, P. R. Veres, M. Li, M. Li, A. W. Rollins, K. Zuraski, K. Zuraski, S. Baidar, S. Baidar, S. Liu, T. Kuwayama, S. S. Brown, B. C. McDonald, C. Warneke

“…The model simulated the photochemical processing and transport of temporally and spatially gridded emissions from the FIVE-VCP-NEI17NRT inventory and accurately simulates the variability and magnitude of O<span class="inline-formula">₃</span>, NO<span class="inline-formula">_<i>x</i></span>, and speciated VOCs in Pasadena, CA. …”
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Machine Learning Recognizes Stages of Parkinson’s Disease Using Magnetic Resonance Imaging by Artur Chudzik

“…Using interpretable metrics, such as the volume- and centroid-based spatial distances, models achieved high diagnostic accuracy, presenting a promising framework for early-stage PD identification based on MRI scans.…”
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Algebraic Non-Hermitian Skin Effect and Generalized Fermi Surface Formula in Arbitrary Dimensions by Kai Zhang, Chang Shu, Kai Sun

“…We demonstrate this framework in both tight-binding and continuum models in two and three dimensions. This investigation not only unveils a novel category of the non-Hermitian skin effect but also offers a comprehensive theoretical structure that describes skin effects in any non-Hermitian system, irrespective of its spatial dimensionality.…”
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Envisioning urban environments resilient to vector-borne diseases: a protocol to study dengue in Vietnam by Praveen Kumar, Thanh H. Nguyen, Phong V.V. Le, Jinhui Yan, Lei Zhao, Brian F. Allan, Andrew W. Taylor-Robinson

“…Coupled with human population distribution (density, locations), atmospheric conditions (air temperature, precipitation), and hydrological conditions (soil moisture distribution, ponding persistence in topographic depressions), modeling has improved predictive ability for infection rates. …”
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Multi-omics analysis constructs a novel neuroendocrine prostate cancer classifier and classification system by Junxiao Shen, Luyuan Lu, Zujie Chen, Wei Guo, Shuwen Wang, Ziqiao Liu, Xuke Gong, Yiming Qi, Ruyi Jin, Cheng Zhang

“…In clinical settings, the use of the NEP100 model can greatly improve the diagnostic and prognostic prediction of NEPC. …”
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Morroniside ameliorates sevoflurane anesthesia-induced cognitive dysfunction in aged mice through modulating the TLR4/NF-κB pathway by Jianxing Chen, Bo Peng, Wenqian Lin, Yinjun Mao, Yongsheng Wang

“…Inhalation of Sev caused a notable reduction in learning and spatial memory in old mice, which was dose-dependently ameliorated by Mor. …”
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Linking species distribution and chemistry to support the management of Saposhnikovia divaricata under global change by Detai Duan, Xinyi Li, Xinyu Zhou, Hengjun Xu, Jianxi Chen, Boyan Zhang, Xinxin Zhang

“…This study used the MaxEnt and Biomod2 models to identify the limiting factors, main environmental factors, and the impact of future climate change on the distribution of S. divaricata. …”
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