Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…In order to solve these problems, we conducted in-depth research on the terrain feature patterns of DEMs and proposed a DEM super-resolution reconstruction network that is terrain feature-aware, named D-ResDCN. …”
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Succinylation-related molecular activities in cancer: metabolic adaptations, immune landscape, and prognostic significance in colorectal cancer by Zhihang Jiang, Zhihang Jiang, Xiaoqing Li, Xiaoqing Li, Long Hu, Zheng Jiang

“…A systematic pan-cancer analysis of succinylation-related molecular activities is needed.MethodsBulk transcriptomic, single-cell RNA sequencing, and spatial transcriptomic data across pan-cancer from TCGA, GEO, TISCH, and multiple other databases were analyzed. …”
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Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning by G Muni Nagamani, Chanumolu Kiran Kumar

“…The majority of existing systems, despite improvements in healthcare technologies, cannot capture the spatial and temporal patterns of multimodal data simultaneously, process high Volume data in real-time, and ensure the privacy of patients' identity effectively. …”
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Forest Loss Drivers and Landscape Pressures in a Northern Moroccan Protected Areas’ Network: Introducing a Novel Approach for Conservation Effectiveness Assessment by Hamid Boubekraoui, Zineb Attar, Yazid Maouni, Abdelilah Ghallab, Rabah Saidi, Abdelfettah Maouni

“…Initial findings indicated similar deforestation patterns between protected and unprotected zones, with wildfires causing over half of forest losses within PAs. …”
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UFORE-D Modeling of Urban Tree Influence on Particulate Matter Concentrations in a High-Altitude Latin American Megacity by Laura Ochoa-Alvarado, Juan Garzón-Gil, Sergio Castro-Alzate, Carlos Alfonso Zafra-Mejía, Hugo Alexander Rondón-Quintana

“…Urban trees reduce particulate matter (PM) concentrations through dry deposition, interception, and modifying wind patterns, improving air quality and saving public health expenses in urban planning. …”
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The central nervous system adjusts muscle synergy structure and tightly controls rollator-supported transitions between sitting and standing by Michael Herzog, Frieder C. Krafft, Janis Fiedler, Denise J. Berger, Lizeth H. Sloot, Andrea d’Avella, Thorsten Stein

“…For each movement strategy, spatial and temporal muscle synergies were extracted from the muscle activity patterns. …”
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Correlated‐replicate occupancy models for wild turkey gobbling call‐count surveys by Christopher D. Pollentier, Michael A. Hardy, R. Scott Lutz, Scott D. Hull

“…Our findings indicate that transect sampling designs that account for spatial correlation among adjacent survey stations can yield improved estimates of detection and occupancy, and such sampling designs could lead to greater ecological interest in factors that influence species occurrence and patterns of habitat use. …”
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Development of Continuous AMSR-E/2 Soil Moisture Time Series by Hybrid Deep Learning Model (ConvLSTM2D and Conv2D) and Transfer Learning for Reanalyses by Visakh Sivaprasad, Mehdi Rahmati, Anne Springer, Harry Vereecken, Carsten Montzka

“…The enhanced SSM demonstrated a 26% improvement in the correlation with in situ SSM measurements, while maintaining accuracy and consistency in spatial and temporal patterns.…”
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Comparison and Evaluation of Rain Gauge, CMORPH, TRMM PR and GPM DPR KuPR Precipitation Products over South China by Rui Wang, Huiping Li, Hao Huang, Liangliang Li

“…This study conducts a comparative evaluation of precipitation products from rain gauge stations, Climate Prediction Center morphing technique (CMORPH), Tropical Rainfall Measuring Mission precipitation radar (TRMM PR) version 7 and Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar Ku band (DPR KuPR) version 6 orbital observations during the common observational period (April–September 2014) across South China. The spatial patterns and probability density function of rain rates from four precipitation products show similar features. …”
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Decoding per- and polyfluoroalkyl substances (PFAS) in hepatocellular carcinoma: a multi-omics and computational toxicology approach by Yanggang Hong, Deqi Wang, Zeyu Liu, Yuxin Chen, Yi Wang, Jiajun Li

“…These targets were further validated via bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics, which revealed differential expression patterns across various cell types in the HCC tumor microenvironment. …”
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Exploring the Contribution Roles from Municipal Cities in the Rise in Household CO₂ Emissions in China: From a Local Scale Analysis in the Global Context by Zilong Qin, Moquan Sha, Xiaolei Li, Jianguang Tu, Xicheng Tan, Zongyao Sha

“…We proposed a local scale analysis of HCO₂ growth patterns within a global context to assess the contribution roles of 372 municipal cities to the changes in the national total HCO₂ (T-HCO₂). …”
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Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenari... by Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari

“…However, the classification of shrublands proved challenging due to their mixed composition and unique spatial patterns, resulting in lower accuracies. Feature importance analysis demonstrated the value of the enhanced map composition, and applying the LandTrendr algorithm simplified the diachronic land use and land cover (LULC) classification and change analysis by supporting automatic training data collection. …”
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Plant functional traits related to aboveground tree biomass in cloud forests of southeastern Mexico by Noé Velázquez-Rosas, Elizabeth Fuentes Romero, Betsabé Ruiz-Guerra, Hugo López Rosas, Norma Eugenia García Calderón

“…Foliar N content, C:N ratio, and wood density were associated with tree biomass production, suggesting that N nutrient stress may explain the inconsistent patterns of biomass production. The spatial variation of nutrient stress in these communities may be caused by topographic variation, which determines differential nutrient leaching processes, as well as the composition of plant communities and foliar nutritional quality.…”
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Water CO₂ Emission Monitoring in a Romanian Peri-Urban Wetland to Enhance GHG Reporting by György Deák, Natalia Enache, Lucian Laslo, Monica Matei, Madalina Georgiana Boboc, Cristina Ileana Covaliu Mierla

“…Our evaluation highlights the importance of considering spatial variability, meteorological parameters and water quality parameters. …”
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Efficiency of Stochastic Finite Element Random Fields and Variables to Predict Shear Strength of Fiber-Reinforced Concrete Beams Without Stirrups by Maria Ghannoum, Lara Shamoun, Dana Nasr, Joseph J. Assaad, Hassen Riahi, Jamal Khatib

“…Nevertheless, the concrete’s mechanical and structural properties are strongly affected by the fibers’ spatial distribution and clumping tendency within the mass material. …”
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Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion Technology by Srishti Singh, Ha-Neul Lee, Yuna Park, Sungho Kim, Si-Hyun Park, Jong-Ryul Yang

“…Notably, the inherent blur present in low-resolution images closely corresponds to the distortion patterns induced by clutter in radar signals, making such data particularly suitable for effective sensor fusion. …”
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The Impact of Geomorphological Settings and Environmental Influences on Crop Utilization in the Mid-to-Late Neolithic Period in Shaanxi Province, Northwest China by Zhikun Ma, Mile Zhou, Zhongya Hu, Francesca Monteith, Bingxin Shao, Jinhui Xiang

“…These factors led to a spatial pattern where millet dominated in the Northern Plateau, while the Guanzhong Plain and Qinba Mountains developed mixed farming systems incorporating all four seed types. …”
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Atmospheric source of mercury to the ocean constrained by isotopic model by Zhengcheng Song, Shaojian Huang, Yujuan Wang, Peng Zhang, Tengfei Yuan, Kaihui Tang, Xuewu Fu, Yanxu Zhang

“…Our simulations reveal distinct atmospheric Δ200Hg patterns and quantify their deposition to the ocean. …”
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A multi-dilated convolution network for speech emotion recognition by Samaneh Madanian, Olayinka Adeleye, John Michael Templeton, Talen Chen, Christian Poellabauer, Enshi Zhang, Sandra L. Schneider

“…As the two-dimensional representation of the spectrogram includes more speech characteristics, research interest in convolution neural networks (CNNs) or advanced image recognition models is leveraged to learn deep patterns in a spectrogram to effectively perform SER. …”
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Distinct neural representations of different linguistic components following sign language learning by Yael Coldham, Neta Haluts, Eden Elbaz, Tamar Ben-David, Nell Racabi, Shachar Gal, Michal Bernstein-Eliav, Naama Friedmann, Ido Tavor

“…A learning-induced increase in activation was detected in various brain regions in task contrasts related to all sign language linguistic components. Activation patterns while processing different linguistic components post-learning were spatially distinct, suggesting a unique neural representation for each component. …”
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