Glacier meltwater has limited contributions to the total runoff in the major rivers draining the Tibetan Plateau by Yi Nan, Fuqiang Tian, Jeffrey McDonnell, Guangheng Ni, Lide Tian, Zongxing Li, Denghua Yan, Xinghui Xia, Ting Wang, Songjun Han, Kunbiao Li

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Provincial distribution of unintended pregnancy and its associated factors in Sierra Leone by Augustus Osborne, Regina Mamidy Yillah, Camilla Bangura, Bright Opoku Ahinkorah

“…Provincial variations in the prevalence of unintended pregnancy was presented using a spatial map. A mixed-effect multilevel binary logistic regression models was fitted to examine the factors associated with unintended pregnancy. …”
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Unveiling the Synergies and Conflicts Between Vegetation Dynamic and Water Resources in China’s Yellow River Basin by Zuqiao Gao, Xiaolei Ju

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Development and validation of 3D super-resolution convolutional neural network for 18F-FDG-PET images by Hiroki Endo, Kenji Hirata, Keiichi Magota, Takaaki Yoshimura, Chietsugu Katoh, Kohsuke Kudo

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Tourism, Economic Development, and Regional Inequality in Portugal: A Data-Driven Approach from 2012 to 2022 by Maria do Rosário Mira, Andreia Antunes Moura, Vânia Costa, Raquel Pereira

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Mapping indicator species of segetal flora for result-based payments in arable land using UAV imagery and deep learning by Caterina Barrasso, Robert Krüger, Anette Eltner, Anna F. Cord

“…Additionally, we investigated the potential of spatial co-occurrence and canopy height heterogeneity to predict the presence of species difficult to detect by UAVs. …”
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Contactless Detection of Abnormal Breathing Using Orthogonal Frequency Division Multiplexing Signals and Deep Learning in Multi-Person Scenarios by Muneeb Ullah, Xiaodong Yang, Zhiya Zhang, Tong Wu, Nan Zhao, Lei Guan, Malik Muhammad Arslan, Akram Alomainy, Hafiza Maryum Ishfaq, Qammer H. Abbasi

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TCR and BCR repertoire analysis reveals distinct signatures between benign and malignant ovarian tumors by Zhonghuang Wang, Zhonghuang Wang, Zhe Zhang, Dongli Zhao, Dongli Zhao, Zhenglin Du, Bixia Tang, Enhui Jin, Hailong Kang, Wenming Zhao, Yuanguang Meng

“…The analysis elucidates the differences between the two immune repertoires in various aspects and constructs an early screening machine learning model for ovarian tumors based on the characteristics of the immune repertoire.ResultThe finding revealed that patients with malignant ovarian tumors exhibited a reduction in balance, richness, and diversity in their immune repertoires compared to those with benign tumors. …”
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Wind Power Forecasting Based on Multi-Graph Neural Networks Considering External Disturbances by Xiaoyin Xu, Zhumei Luo, Menglong Feng

“…Though much progress has been achieved in deep learning approaches, existing methods cannot effectively decompose and model intertwined spatio-temporal dependencies. Current methods typically treat wind power as a unified signal without explicitly separating inherent patterns from external influences, so they have limited prediction accuracy. …”
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Analysing the urban morphology of Hoi An ancient city, Quang Nam province in sustainable coastal tourism, vision to 2045 by Le Thi Kim Anh, Le Anh Duc, Pham Ngoc Tuan

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Acute stress activates basolateral amygdala neurons expressing corticotropin-releasing hormone receptor type 1 (CRHR1): Topographical distribution and projection-specific activatio... by Robert J. Aukema, Gavin N. Petrie, Samantha L. Baglot, Nicholas W. Gilpin, Matthew N. Hill

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Ionospheric Response to the 24–27 February 2023 Solar Flare and Geomagnetic Storms Over the European Region Using a Machine Learning–Based Tomographic Technique by Ting Li, Dunyong Zheng, Changyong He, Fei Ye, Pengfei Yuan, Yibin Yao, Mengguang Liao, Jian Xie

“…We reconstructed the ionospheric electron density (IED) in Europe to analyze the spatial distribution of ionosphere and its temporal evolution during this period. …”
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A Study on the CO2-Enhanced Water Recovery Efficiency and Reservoir Pressure Control Strategies by Zhijie Yang, Tianfu Xu, Fugang Wang, Yujie Diao, Xufeng Li, Xin Ma, Hailong Tian

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Epigenetic-modification associated hnRNPA3 acts as a prognostic biomarker and promotes malignant progression of HCC by Xufan Cai, Weihui Guo, Fang Wu, Weilang Xu, Tao Ding, Yizhe Diao, Lei Wang, Zhenyuan Qian, Guangyuan Song

“…Logistic regression, receiver operating characteristic curve (ROC), Kaplan–Meier analysis, and nomogram modeling were used to evaluate prognostic values of hnRNPA3 in HCC. hnRNPA3 level in cell subtypes in HCC tumor microenvironment was analysed through spatial transcriptomic. …”
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Essential service accessibility and contribution to quality of life: a systematic review by Sarah M Wood, Kira Page, Emma Baker, Hannah Beks, Marley J Binder, Marcus Blake, Vincent L Versace, Neil T Coffee

“…This gap hinders a detailed spatial understanding of essential service provision, access, and influence on populations. …”
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Assessing Uneven Regional Development Using Nighttime Light Satellite Data and Machine Learning Methods: Evidence from County-Level Improved HDI in China by Xiping Zhang, Jianbin Xu, Saiying Zhong, Ziheng Wang

“…Subsequently, NTL data are utilized to infer the spatial distribution characteristics of the improved HDI across China’s county-level regions. …”
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Digital mapping of soil organic carbon in the hilly and mountainous landscape of Indian Himalayan region employing machine-learning techniques by Justin George Kalambukattu, Suresh Kumar, Bappa Das, Trisha Roy

“…The pixel wise uncertainty in SOC prediction by different models were also spatially mapped by generating the lower (LL) and upper limits (UL) of the 90% prediction interval. …”
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Balancing accuracy versus precision: Enhancing the usability of sub-seasonal forecasts by Etienne Dunn-Sigouin, Erik W. Kolstad, C. Ole Wulff, Douglas J. Parker, Richard J. Keane

“…Forecasts are essential for climate adaptation and preparedness, such as in early warning systems and impact models. A key limitation to their practical use is often their coarse spatial grid spacing. …”
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A lightweight semantic segmentation method for concrete bridge surface diseases based on improved DeeplabV3+ by Zhiyuan Yu, Chunquan Dai, Xiaoming Zeng, Yunlong Lv, Haisheng Li

“…Firstly, the lightweight improved MobileNetV3 was used as the backbone network to reduce the computational complexity of the model. Secondly, the CSF-ASPP (cross scale fusion atrous spatial pyramid pooling) module was designed to expand the receptive field, enable the model to capture more contextual information at different scales and improve its anti-interference ability. …”
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Large-Scale Cortical Network Analysis and Classification of MI-BCI Tasks Based on Bayesian Nonnegative Matrix Factorization by Shiqi Yu, Bin Mao, Yuanhang Zhou, Yunhong Liu, Chanlin Yi, Fali Li, Dezhong Yao, Peng Xu, X. San Liang, Tao Zhang

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