Future Drought Change Characteristics and Population Exposure Estimation in the Xijiang River Basin of Guangxi Based on CMIP6 by Qin Nianxiu, Wen Feng, Wang Junneng, He Jiye, Jiang Tong

“…The findings are as follows: (1) By employing Taylor diagrams to evaluate the multi-model ensemble mean method (MME) of 18 CMIP6 climate models, we found that the method effectively simulated temperature and precipitation in the Xijiang River Basin, reducing the uncertainty associated with single-model simulations. …”
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The temporal scale of energy maximization explains allometric variations in movement decisions of large herbivores by Daniel Fortin, Christopher F. Brooke, Hervé Fritz, Jan A. Venter

“…Most studies, however, have not considered that predictions of optimal diet depend on the temporal scale of maximization. …”
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Urban heat island classification through alternative normalized difference vegetation index by N. Chanpichaigosol, C. Chaichana, D. Rinchumphu

“…By highlighting nonlinear trends, the research underscores further the need to explore vegetation dynamics in land surface temperature predictions. The findings contribute to a deeper understanding of urban heat island effects and provide a basis for enhancing machine Learning models and urban planning frameworks. …”
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Does forest management certification halt forest loss at country level? A global analysis by Saskia Dröge, Charline Depoorter, Axel Marx, Bart Muys

“…No significant association between certification coverage and forest loss reduction was found at the country level. These findings were limited by the lack of publicly available data on certified forests at high spatial resolution and the use of aggregated country-level certification coverage, which might obscure regional (sub-country) effects. …”
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Facial Feature Extraction Algorithm Based on Improved YOLOv7-Tiny by Yining Yao, Yawen Wang, Changyuan Wang, Yibo Zhang, Tingting Liu, Gaofeng Wang

“…The proposed algorithm achieves a detection accuracy of 59.8% mAP on the Drowsy-Driving-Det dataset, marking an 8.5% improvement over the original method, alongside a 60.9% reduction in model parameters. This improved algorithm not only meets real-time deployment requirements but also maintains high detection accuracy, making it well-suited for facial fatigue feature extraction in complex driving environments and edge deployment scenarios.…”
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Ultra‐Flexible µ‐ECoG Arrays Based on PEDOT:PSS Micropillars by Alice Lunghi, Michele Bianchi, Pierpaolo Greco, Riccardo Viaro, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini

“…Advances in microfabrication techniques allow a dramatic reduction in electrode size, leading to highly‐dense microelectrode arrays with increased spatial resolution. …”
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Assessing Land Use Intensity and Ecosystem Service Dynamics in Citarum Watershed, Indonesia by Irmadi Nahib, Widiatmaka Widiatmaka, Suria Darma Tarigan, Wiwin Ambarwulam, Fadhlullah Ramadhani

“…Specifically, researchers analyze (1) the shifts in LULC and key ES components—water yield (WY), soil conservation (SC), and carbon storage (CS)—from 2010 to 2020, (2) the spatial relationship between land use intensity (LUI) and ES, and (3) the synchronization and distribution patterns of LUI and TES using a coupling coordination degree (CCD) model. …”
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Design Features of a Removable Module Intended for Securing Containers When Transported in an Open Wagon by Alyona Lovska, Juraj Gerlici, Ján Dižo, Mykhailo Pavliuchenkov, Pavlo Rukavishnikov

“…It was established based on the preformed calculations that this optimization contributes to reducing the unit mass of the frame beam by 1.5% compared to using a typical rectangular profile. A spatial model of the removable module was built, and its strength was calculated considering the results of the optimization process. …”
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Integration of UAV Multi-Source Data for Accurate Plant Height and SPAD Estimation in Peanut by Ning He, Bo Chen, Xianju Lu, Bo Bai, Jiangchuan Fan, Yongjiang Zhang, Guowei Li, Xinyu Guo

“…This study aimed to develop an optimized estimation framework for peanut plant height and SPAD values through machine learning-driven integration of UAV multi-source data while evaluating model generalizability across temporal and spatial domains. …”
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A Comprehensive Analysis of the Loss Mechanism and Thermal Behavior of a High-Speed Magnetic Field-Modulated Motor for a Flywheel Energy Storage System by Qianli Mai, Qingchun Hu, Xingbin Chen

“…Experimental validation confirms model accuracy with mean absolute percentage errors below 4.2%. …”
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Spatio-temporal Variation and Influencing Factors of CO2 Emission at County Scale in Shaanxi Province Based on Land Use Change by Cao Zhouliang, Zhang Xinrong, Yuan Xuefeng, Chen Jinhong

“…The evolution of carbon emission can be divided into two stages (substantial growth and slow growth). ② The carbon emission center gradually moved to the northeast from 2000 to 2020, and the spatial distribution range showed an expansion trend. …”
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TCCDNet: A Multimodal Pedestrian Detection Network Integrating Cross-Modal Complementarity with Deep Feature Fusion by Shipeng Han, Chaowen Chai, Min Hu, Yanni Wang, Teng Jiao, Jianqi Wang, Hao Lv

“…Specifically, the efficient multi-scale attention C2f (EMAC) is designed for the backbone, which combines the C2f structure with an efficient multi-scale attention mechanism to achieve feature weighting and fusion, thereby enhancing the model’s feature extraction capacity. Subsequently, the cross-modal complementarity (CMC) module is proposed, which enhances feature discriminability and object localization accuracy through a synergistic mechanism combining channel attention and spatial attention. …”
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Built environment characteristics and driving speed in 30 km/h zones: a Dutch national analysis by Paul Schepers, Werner van Loo, Wouter Mieras, Hans Drolenga, Dick de Waard, Marco Helbich

“…This requires understanding how built environment characteristics are associated with driving speeds, but only a few studies, typically based on small samples, focus on 30 km/h streets. Using a spatial error model, this study examines the relationship between built environment factors and 85th percentile speeds on 47,000 km of Dutch 30 km/h streets (N=159.000). …”
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Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments by Ning Chen, Dong Wei, Dongsheng Lin, Linhan Lin

“…For semantic segmentation, the PSPNet_CBAM network framework was developed, achieving improvements of 0.73 %, 0.14 %, and 0.92 % in mean Accuracy (mAcc), Pixel Accuracy (PAcc), and mean Intersection over Union (mIoU), respectively, on the Cityscapes dataset compared to the original PSPNet model. For the fusion of visual and laser information, NN-SLAM demonstrated a reduction in filter processing time by 0.2440 ms and 3.6497 ms on the KITTI 0011 and 0093 datasets, respectively, when compared to the Visual-Lidar Odometry and Mapping (ALOAM) algorithm. …”
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Community Engagement in the Management of Urban Green Spaces: Prospects from a Case Study in an Emerging Economy by Adriano Bressane, Anna Isabel Silva Loureiro, Ricardo Almendra

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Patterns of dolphin bycatch in a north-western Australian trawl fishery. by Simon J Allen, Julian A Tyne, Halina T Kobryn, Lars Bejder, Kenneth H Pollock, Neil R Loneragan

“…Over the entire datasets, observer reported bycatch rates (n = 52 dolphins in 4,124 trawls, or 12.6 dolphins/1,000 trawls) were ca. double those reported by skippers (n = 180 dolphins in 27,904 trawls, or 6.5 dolphins/1,000 trawls). Generalised Linear Models based on observer data, which better explained the variation in dolphin bycatch, indicated that the most significant predictors of dolphin catch were: (1) vessel--one trawl vessel caught significantly more dolphins than three others assessed; (2) time of day--the lowest dolphin bycatch rates were between 00:00 and 05:59; and (3) whether nets included bycatch reduction devices (BRDs)--the rate was reduced by ca. 45%, from 18.8 to 10.3 dolphins/1,000 trawls, after their introduction. …”
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Influence of crosspolarization of dual-polarized antenna elements on the ergodic capacity of a multichannel system by Ekaterina V. Averina, Ksenia V. Smuseva, Pavel A. Tokarev, Grigory K. Uskov

“…These effects can lead to a significant reduction in communication system capacity. Aim. Derive relationships based on the Kronecker model that allow to take into account the polarization properties of antenna elements when calculating the ergodic capacity of a multi-channel communication system. …”
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YOLO-BCD: A Lightweight Multi-Module Fusion Network for Real-Time Sheep Pose Estimation by Chaojie Sun, Junguo Hu, Qingyue Wang, Chao Zhu, Lei Chen, Chunmei Shi

“…Comparative evaluations demonstrate significant improvements over baseline models, achieving 91.7% recognition accuracy with 389 FPS processing speed while maintaining 19.2% parameter reduction and 32.1% lower computational load compared to standard YOLOv8. …”
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First Basic Problem of Elasticity Theory for a Composite Layer with Two Thick-Walled Tubes by Oleksandr Yu. Denshchykov, Valentyn P. Pelykh, Yaroslav V. Hrebeniuk, Vitalii Yu. Miroshnikov

“…The spatial problem of elasticity theory for a fibrous composite in the form of a layer with two thick-walled cylindrical tubes is solved. …”

Effective Adaptation Options to Alleviate Nuisance Flooding in Coastal Megacities—Learning From Ho Chi Minh City, Vietnam by Leon Scheiber, Nivedita Sairam, Mazen Hoballah Jalloul, Kasra Rafiezadeh Shahi, Christian Jordan, Jan Visscher, Tara Evaz Zadeh, Laurens J. N. Oostwegel, Danijel Schorlemmer, Ngo Thanh Son, Hong Nguyen Quan, Torsten Schlurmann, Matthias Garschagen, Heidi Kreibich

“…Because sustainable flood risk management requires detailed spatial information, we analyze the local risk and its components based on a chain of novel models previously calibrated and validated for Ho Chi Minh City. …”
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