Condition monitoring of heterogeneous landslide deformation in spatio-temporal domain using advanced graph attention network by Huajin Li, Yu Zhu, Qiang Xu, Ran Tang, Chuanhao Pu, Yusen He

“…In this study, it presents a novel Graph Attention Network (GAT) framework that integrates multi-scale temporal embeddings, adaptive graph learning, and temporal self-attention mechanisms to simultaneously track localized stability variations and global deformation trends across monitoring points. …”
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Unified Depth-Guided Feature Fusion and Reranking for Hierarchical Place Recognition by Kunmo Li, Yongsheng Ou, Jian Ning, Fanchang Kong, Haiyang Cai, Haoyang Li

“…Nevertheless, such unimodal visual representations exhibit inherent susceptibility to environmental variations, inevitably degrading method precision. To address this problem, we propose a robust VPR framework integrating RGB and depth modalities. …”
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O perspectivă inedită asupra romanului latin by Carmen-Nicola Jumara

“…Forster provides a new image, a study method more appropriate for the human possibilities; it’s the image of all the novel writers writing their novels in the same time. …”
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Study on the Thermal Performance of Inner and Outer Wall Surfaces Based on FDM-ATSCM by Li Honglian, Cao Wenhui, Jiang Suwan, Sun Yinghao, Zhu Xinrong

“…Such models often struggle to handle dynamic wall temperature variations driven by solar radiation, ambient temperature, humidity, and wind speed. …”
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Increasing anthropogenic stressors influenced the water quality and shifted trophic status of northern Lake Tana Gulf, Ethiopia by Flipos Engdaw, Tadesse Fetahi, Demeke Kifle

“…The physico-chemical parameters were measured in situ or determined in water samples using standard methods. There were significant (p < 0.05) variations in temperature, dissolved oxygen (DO), electrical conductivity (EC) and turbidity between the dry and rainy seasons. …”
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Epidemiology and Genetic Characterization of Distinct Ebola Sudan Outbreaks in Uganda by Francesco Branda, Massimo Ciccozzi, Fabio Scarpa

“…Genomic sequences of SUDV were analyzed to investigate viral evolution and identify genetic variations associated with pathogenicity and transmissibility. …”
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Factors affecting breastfeeding initiation among mothers in Riyadh primary healthcare clinics: a cross-sectional study by Alhanouf F. Altamimi, Rayyana Ababtain, Mariah S. Alahmari, Bader A. Altulaihi

“…Methods A cross-sectional study was conducted, recruiting 449 Saudi mothers from four primary healthcare centers in Riyadh between January 2022 and January 2023. …”
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Assessment of heavy metal contamination and sediment characteristics in Ozomu lake, southern Nigeria: Implications for environmental health by John O. Olomukoro, Clinton O. Enabulele

“…Future research should explore seasonal variations and specific pollution sources in the lake's catchment area. …”
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Research on Climate Drivers of Ecosystem Services’ Value Loss Offset in the Qinghai–Tibet Plateau Based on Explainable Deep Learning by Wenshu Liu, Chang You, Jingbiao Yang

“…To address these challenges, this study focuses on the QTP and employs a modified ESV loss deviation model, integrated with explainable deep learning techniques (LSTM-SHAP), to quantify and analyze ESV loss deviations and their climate drivers from 1990 to 2030. …”
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Delay Estimation in Networks with Cooperative Arrival Dynamics by O. А. Markelov, N. S. Tymchenko, M. I. Bogachev

“…Development of an improved model for estimation of aggregated traffic delays in highly loaded networks taking into account statistical characteristics of interrelations between activity fluctuations in nodes and channels of the network.Materials and methods. A superstatistical approach is applied to analytically correct the Kingman formula for estimating the waiting time based on the calculation of the coefficients of variation of arrival intensities and mutual correlations between the intensities of the traffic generated by different nodes. …”
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A novel on-line dual sensing system for soil property measurement and mapping by Rukayat Afolake Oladipupo, Muhammad Abdul Munnaf, Parsat Sanganta, Ajit Borundia, Abdul Mounem Mouazen

“…The aim of this study is to use an integrated on-line dual-sensor system of vis-NIRS and ISE to estimate and map within-field variation in multiple soil fertility parameters including pH, organic carbon (OC), extractable- phosphorus (P), potassium (K), calcium (Ca), moisture content (MC) and nitrate-N. …”
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Stage-specific metabolic allocation: nutrient investment strategies during Lysiphlebia japonica Ashmead development by Tingting Zhou, Ningbo Huangfu, Li Wang, Junyu Luo, Jinjie Cui, Xiangzhen Zhu, Sumei Wan, Xueke Gao

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Mass and stiffness sensing performance of nanomechanical resonators: viability of infectious virus detection by Manuel Gómez-Moreno, Juan Molina, José J. Ruz, Óscar Malvar, Javier Tamayo, Montserrat Calleja, Álvaro San Paulo

“…Particularly, stiffness resolution can reach levels well below the stiffness variations observed in some viruses as a consequence of maturation, enabling an integrated approach for infectivity assessment. …”
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Dynamic Spatial–Temporal Graph Neural Network for Cooling Capacity Prediction in HVDC Systems by Hao Sun, Shaosen Li, Jianxiang Huang, Hao Li, Guanxin Jing, Ye Tao, Xincui Tian

“…To address these challenges, we propose a novel framework that integrates Graph Neural Networks (GNNs) with temporal dynamics. …”
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Advancing Meibography Assessment and Automated Meibomian Gland Detection Using Gray Value Profiles by Riccardo Forni, Ida Maruotto, Anna Zanuccoli, Riccardo Nicoletti, Luca Trimigno, Matteo Corbellino, Sònia Travé-Huarte, Giuseppe Giannaccare, Paolo Gargiulo

“…<b>Objective</b>: This study introduces a novel method for the automated detection and quantification of meibomian gland morphology using gray value distribution profiles. …”
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SCAR: Scrap Book based on Culturally Responsive Teaching Enriched with Augmented Reality by Yuniawatika Yuniawatika, Maytha Esterya Lumban Gaol, Ika Feny Nur Aini, Lailatul Fitriah, Edwin Maulana Sandya

“…The research and development (R&D) method is applied in this research, which applies the ASSURE model. …”
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Dual-Branch Seasonal Error Elimination Change Detection Framework Using Target Image Feature Fusion Generator by Hongming Zhu, Jipeng Zhang, Zeju Wang, Xinyu Liu, Qin Liu, Bowen Du

“…In change detection tasks, seasonal variations in spectral characteristics and surface cover can negatively impact performance when comparing image pairs from different seasons. …”
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S3FCD: a single-temporal self-supervised learning framework for remote sensing image change detection by Wenqian Lv, Nian Shi, Keming Chen, Guangyao Zhou, Chunlei Huo

“…Existing deep learning-based change detection methods achieve high performance by utilizing annotated and registered bi-temporal images. …”
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Measuring Scaling Relations: Fitting Technique Matters by Bryanne McDonough, Olivia Curtis, Tereasa G. Brainerd

“…In this Letter, we compare variations of standard least-squares techniques to the ridge line method for identifying spatially resolved scaling relations (Σ _* −Σ _SFR , Σ _* −Σ _gas , and Σ _gas −Σ _SFR ) for TNG100 galaxies. …”
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High-Fidelity 3D Gaussian Splatting for Exposure-Bracketing Space Target Reconstruction: OBB-Guided Regional Densification with Sobel Edge Regularization by Yijin Jiang, Xiaoyuan Ren, Huanyu Yin, Libing Jiang, Canyu Wang, Zhuang Wang

“…Unlike existing methods, we explicitly address these challenges by integrating exposure-aware adaptive refinement and edge-preserving regularization into the 3DGS pipeline. …”
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