Estimation of mangrove heights and aboveground biomass using UAV-LiDAR, Sentinel-1 and ZY-3 stereo images by Bolin Fu, Yingying Wei, Linhang Jiang, Hang Yao, Xiaomin Li, Yanli Yang, Mingming Jia, Weiwei Sun

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Fracture identification and 3D reconstruction of coal-rock combinations based on VRA-UNet network by Dengke WANG, Longhang WANG, Yaguang QIN, Le WEI, Tanggen CAO, Wenrui LI, Lu LI, Xu CHEN, Yuling XIA

“…Firstly, the VGG16 module is used as the backbone feature extraction network to enhance the model’s generalization ability and prevent the initialization of model parameters from being too random. Secondly, to address the complex fracture topology and strong non-uniformity of coal-rock combinations, an attention module (ResCBAM) with spatial and channel dimensions is introduced into the up-sampling part to enhance the model's feature extraction ability and alleviate the problem of gradient disappearance. …”
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Early Active Exercise Improves MDA, SOD, and GSH Levels without Memory or NO Changes in Wistar Rats by Muhammad Hafiz Zuhdi Fairof, Arimi Fitri Mat Ludin, Nur Diyana Anas, Ainaa Husna, Ahmad Muhaimin Che Hasan, Amirul Hafiz Ahmad Abdullah, Farah Wahida Ibrahim, Adriyan Pramono, Nor Fadilah Rajab

“…One key factor in oxidative stress is nitric oxide (NO), an enzyme complex that produces reactive oxygen species (ROS) as part of normal cellular signaling. …”
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Predicting bone metastasis risk of colorectal tumors using radiomics and deep learning ViT model by Guanfeng Chen, Wenxi Liu, Yingmin Lin, Jie Zhang, Risheng Huang, Deqiu Ye, Jing Huang, Jieyun Chen

“…The ViT model’s strength lies in its ability to capture complex spatial relationships and long-range dependencies within the imaging data, which are often missed by traditional models. …”
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Future Site Suitability for Urban Waste Management in English Bazar and Old Malda Municipalities, West Bengal: A Geospatial and Machine Learning Approach by Suresh Mondal, Mst Tania Parveen, Asraful Alam, Rukhsana, Nazrul Islam, Beata Calka, Bashar Bashir, Mohamed Zhran

“…The research aims to address the complex processes of waste generation, collection, and disposal in urban environments. …”
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Human motor control during movements with high demands by Paul Kaufmann, Willi Koller, Elias Wallnöfer, Basilio Goncalves, Clara Scheer, Juliana Exel, Olivia Froschauer, Catherine Hlavac, Mathias Wiplinger, Lorenz Zweier, Arnold Baca, Hans Kainz

“…Subsequently, factorisation algorithms were employed to extract the spatial synergy vectors and time-varying activation coefficients for each participant. …”
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Interrow cover crops in a semi-arid vineyard increase plant beneficial functional potential of the soil microbiome, both in vine rows and interrows, a benefit that increases with c... by Fernando Igne Rocha, Jean Carlos Rodriguez-Ramos, Margaret Fernando, Lauren Hale

“…However, the temporal and spatial effects of cover crops on vineyard soil microbiomes and soil health metrics remain poorly understood. …”
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Efficient Region-Wise Packing of Stereoscopic ERP Videos Based on Information Loss Minimization by Hossein Pejman, Stephane Coulombe, Carlos Vazquez, Ahmad Vakili

“…Moreover, we propose a content-adaptive (CA) packing method for ERP videos, where the sizes of partitions, each with a particular horizontal downsampling factor, are adaptively determined based on spatial complexity. We then utilize a low-complexity frequency-domain approach to estimate the optimal partition sizes of the CA packing. …”
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Research on the Inversion Method of Dust Content on Mining Area Plant Canopies Based on UAV-Borne VNIR Hyperspectral Data by Yibo Zhao, Shaogang Lei, Xiaotong Han, Yufan Xu, Jianzhu Li, Yating Duan, Shengya Sun

“…The spatial distribution of canopy dust was then analyzed. …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Attention weights are then generated to simultaneously fuse spatial and channel information, significantly improving the model's accuracy in identifying crack regions in levees, particularly under complex lighting and background interference. …”
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Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…ObjectiveWhen utilizing <italic>kd-tree</italic> for large-scale random particle nearest neighbor search, particles with closely aligned index values within the computational domain may become spatially distant, resulting in significant variations in the<italic> kd-tree</italic> search path over a short time frame. …”
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Cognitive and anti-inflammatory effects of Palmaria palmata in a schizophrenia mouse model: insights into CREB signaling, Iba-1 expression, and CD4+ cell modulation by Shimaa Mohammad Yousof, Shimaa Mohammad Yousof, Shimaa Mohammad Yousof, Badrah S. Alghamdi, Badrah S. Alghamdi, Thamer Alqurashi, Mohammad Zubair Alam, Mohammad Zubair Alam, Reham Tash, Reham Tash, Reham Tash, Noha M. Abd El-Fadeal, Noha M. Abd El-Fadeal, Samy A. Abusikkien, Samy A. Abusikkien, Lamis Kaddam, Lamis Kaddam

“…No notable effects were observed in spatial memory, the novel object recognition test (NORT), or anxiety-related behaviors. …”
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From virtual to reality: application of a novel 3D printing hollow model for early-stage lung cancer in the clinical teaching of thoracoscopic sublobar resection by Di Yang, Di Yang, Yafei Miao, Yafei Miao, Linqian Li, Linqian Li, Linqian Li, Qing Yu, Qing Yu, Qiang Guo, Hefei Li, Xuguang Zhang, Shujie Cheng, Shujie Cheng, Jinghua Li, Jinghua Li, Ke Zhang, Ke Zhang, Ke Zhang, Ke Zhang

“…Survey feedback revealed that the 3DV group excelled in convenience (P &lt; 0.001), while the 3DP group demonstrated superiority in the ease of knowledge acquisition and understanding of vascular spatial relationships (P &lt; 0.001). No significant differences were found between the two groups regarding model intuitiveness and identification of the lung segment range influenced by the safety margin (P &gt; 0.05).ConclusionThe 3DP model, featuring a transparent hollow sublobar boundary, significantly improved comprehension of complex anatomical relationships and enhanced teaching outcomes in surgical skills. …”
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Assessing the PM_2.5–O₃ Correlation and Unraveling Their Drivers in Urban Environment: Insights from the Bohai Bay Region, China by Yan Nie, Yongxin Yan, Yuanyuan Ji, Rui Gao, Yanqin Ren, Fang Bi, Fanyi Shang, Jidong Li, Wanghui Chu, Hong Li

“…Results showed that PM_2.5–O₃ correlation in Dongying exhibited significant seasonal variations, spatial patterns, and concentration threshold effects from 2017 to 2023. …”
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Prediction of canopy mean traits in herbaceous plants by the UAV multispectral data: The quest for a better leaf-to-canopy upscaling method by Yuanqi Shan, Yunlong Yao, Lei Wang, Zhihui Wang, Huaihu Yi, Yi Fu, Weineng Li, Xuguang Zhang, Wenji Wang, Zhongwei Jing

“…The accuracy was evaluated by exploring the predictive ability for nine canopy mean traits by using high spatial resolution UAV multispectral data. The analysis focuses on a wetland ecosystem characterized by high species diversity and hydrological variability, where precise plant trait estimation is essential for ecological process modeling. …”
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High-Speed Free-Space Optical Continuous Variable-Quantum Key Distribution Based on Kramers&#x2013;Kronig Scheme by Zhen Qu, Ivan B. Djordjevic

“…The atmospheric turbulence channel is emulated by three spatial light modulators on which three randomly generated azimuthal phase patterns yielding Andrews&#x2019; spectrum are recorded. …”
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Mapping clay fraction oxides in Brazil using Earth observation strategy by Jorge Tadeu Fim Rosas, José A.M. Demattê, Nícolas Augusto Rosin, Raul Roberto Poppiel, Nélida E.Q. Silvero, Merilyn Taynara Accorsi Amorim, Heidy S. Rodríguez-Albarracín, Letícia Guadagnin Vogel, Bruno dos Anjos Bartsch, José João Lelis Leal de Souza, Lucas de Carvalho Gomes, Danilo César de Mello

“…Moreover, this satellite-based technique, supported by ML, presents a plausible approach to predict oxide fraction at high spatial resolution for large areas.…”
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A Novel 3D Convolutional Neural Network-Based Deep Learning Model for Spatiotemporal Feature Mapping for Video Analysis: Feasibility Study for Gastrointestinal Endoscopic Video Cla... by Mrinal Kanti Dhar, Mou Deb, Poonguzhali Elangovan, Keerthy Gopalakrishnan, Divyanshi Sood, Avneet Kaur, Charmy Parikh, Swetha Rapolu, Gianeshwaree Alias Rachna Panjwani, Rabiah Aslam Ansari, Naghmeh Asadimanesh, Shiva Sankari Karuppiah, Scott A. Helgeson, Venkata S. Akshintala, Shivaram P. Arunachalam

“…To reduce computational complexity, a (2 + 1)D convolution is used in place of full 3D convolution. …”
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Impact of Subjective and Objective Green Space Characteristics on Mental Health Benefits: An Explainable Machine Learning Approach by Ke LI, Yipei MAO, Yongjun LI

“…Based on the SHAP values, the non-linear relationships between them are further clarified.ResultsThrough the analysis of 3 types of mental health benefits and 5 models, the LightGBM model outperforms other algorithms (such as Random Forest and XGBoost) in terms of prediction accuracy (R 2: 0.523 – 0.642), with its robustness in capturing complex feature interactions being verified. …”
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An Improved STC-Based Full Coverage Path Planning Algorithm for Cleaning Tasks in Large-Scale Unstructured Social Environments by Chao Wang, Wei Dong, Renjie Li, Hui Dong, Huajian Liu, Yongzhuo Gao

“…The proposed method innovatively introduces the concept of optimal backtracking points to sacrifice the spatial complexity of the algorithm to reduce its computational complexity. …”
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