Optimal Features Driven Attention Network With Medium-Scale Benchmark for Wheat Diseases Recognition by Muhammad Islam, Mohammed Aloraini, Shabana Habib, Meshari D. Alanazi, Ishrat Khan, Aqib Khan

“…Therefore, this paper introduces an optimal features-assisted lightweight framework that integrates EfficientNet-B3 with a spatial attention (SA) mechanism to capture healthy and unhealthy patterns effectively. …”
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The distribution of nutrients and chlorophyll-a in the temperate coast of China: implications for marine ecological risks in the context of global warming by Dapeng Bai, Dapeng Bai, Hongxian Chu, Hongxian Chu, Yongcai Feng, Yongcai Feng, Lixin Wang, Lixin Wang, Lixin Wang, Meiling Yin, Meiling Yin

“…The temperature along the north-south transect was consistent, with a distinct demarcation at 118.68°E (19°C), where the temperature gradient exhibited a pronounced east-high, west-low pattern. The temperature difference between the surface and bottom waters was minimal. …”
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Retinotopic biases in contextual feedback signals to V1 for object and scene processing by Matthew A. Bennett, Lucy S. Petro, Clement Abbatecola, Lars F. Muckli

“…Using fMRI and multivoxel pattern classification, we found that background scene information is projected to both foveal and peripheral V1 but can be disrupted in the fovea by a sufficiently demanding object discrimination task, during which we found evidence of foveal object decoding when using naturalistic stimuli. …”
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Study on Dust Hazard Levels and Dust Suppression Technologies in Cabins of Typical Mining Equipment in Large Open-Pit Coal Mines in China by Xiaoliang Jiao, Wei Zhou, Junpeng Zhu, Xinlu Zhao, Junlong Yan, Ruixin Wang, Yaning Li, Xiang Lu

“…Field measurements and statistical methods revealed temporal–spatial variation patterns of dust concentrations, quantifying occupational exposure risks and providing theoretical foundations for dust control. …”
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Actors, Access, Markets, and Values Involved in Oil Palm Expansion and Peatland Degradation in West Kalimantan, Indonesia by Ali Yansyah Abdurrahim, Arya Hadi Dharmawan, Soeryo Adiwibowo, Herry Yogaswara, Meine van Noordwijk

“…The study also identifies "astroturfing oil palm plantations" as a strategy by large corporations posing as cooperatives to bypass regulations, exacerbating degradation. Expansion patterns are categorized into three forms—centered, spotted, and dispersed—each shaped by actor motivations and capacities. …”
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Quantifying gadolinium-based nanoparticle uptake distributions in brain metastases via magnetic resonance imaging by Stephanie Bennett, Camille Verry, Evangelia Kaza, Xin Miao, Sandrine Dufort, Fabien Boux, Yannick Crémillieux, Olivier de Beaumont, Géraldine Le Duc, Ross Berbeco, Atchar Sudhyadhom

“…This paper moves towards this goal by analyzing AGuIX uptake patterns in 23 patients. A phantom was designed to establish the relationship between AGuIX concentration and longitudinal ( $${T}_{1}$$ T 1 ) relaxation. …”
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Extreme gradient and boosting algorithm for improved bias-correction and downscaling of CMIP6 GCM data across indian river basin by Chandni Thakur, Venkatesh Budamala, KS Kasiviswanathan, Claudia Teutschbein, Bankaru-Swamy Soundharajan

“…Study region: The Godavari River basin, situated between the geographical coordinates of 73°21′ E to 83°09′ E and 16°07′ N to 22°50′ N, India Study focus: The present study employed an extreme gradient boosting algorithm to enhance bias correction and spatial downscaling of climate model data from the Coupled Model Intercomparison Project Phase 6. …”
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Voxel-Wise Brain Graphs From Diffusion MRI: Intrinsic Eigenspace Dimensionality and Application to Functional MRI by Hamid Behjat, Anjali Tarun, David Abramian, Martin Larsson, Dimitri Van De Ville

“…<italic>Results:</italic> The graph Laplacian eigenmodes manifest highly resolved spatial profiles, reflecting distributed patterns that correspond to major white matter pathways. …”
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Non-Invasive Glucose Monitoring Using Optical Sensors and Machine Learning: A Predictive Model for Nutritional and Health Assessment by Heru Agus Santoso, Nur Setiawati Dewi, Susilo, Arga Dwi Pambudi, Hanif Pandu Suhito, Iman Dehzangi

“…The system captures glucose-related optical signals, which are analyzed using various machine learning algorithms, including a novel Convolutional Neural Network&#x2013;Attention Hybrid Model (CNN-AHM). CNN-AHM combines spatial feature extraction with attention-based prioritization of relevant signal patterns, enhancing both accuracy and interpretability. …”
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Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram, Kashif Munir, Muhammad Usama Tanveer, Atiq Ur Rehman, Amine Bermak

“…Our approach begins by acquiring spatial features from contrast-enhanced images using a Convolutional Neural Network (CNN) effectively capturing intricate patterns and structures characteristic of different carcinoma subtypes. …”
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A Comprehensive Review on the Application of 3D Convolutional Neural Networks in Medical Imaging by Satyam Tiwari, Goutam Jain, Dasharathraj K. Shetty, Manu Sudhi, Jayaraj Mymbilly Balakrishnan, Shreepathy Ranga Bhatta

“…CNNs are particularly adept in automatically identifying complex patterns and features in pictures like X-rays, CT scans, and MRIs. …”
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Deep Learning Architectures for Single-Label and Multi-Label Surgical Tool Classification in Minimally Invasive Surgeries by Hisham ElMoaqet, Hamzeh Qaddoura, Mutaz Ryalat, Natheer Almtireen, Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Thomas Neumuth, Knut Moeller

“…Nonetheless, our results demonstrated that the proposed CNN-SE-FFM-BiLSTM multi-label model achieved competitive performance to state-of-the-art methods with excellent performance in detecting tools with complex usage patterns and in minority classes. Future work should focus on optimizing models for real-time applications, and broadening dataset evaluations to improve performance in diverse surgical environments. …”
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Reduced sediment load and vegetation restoration leading to clearer water color in the Yellow River: Evidence from 38 years of Landsat observations by Ke Xia, Xintao Li, Taixia Wu, Shudong Wang, Hongzhao Tang, Yingying Yang

“…The results showed that YR’s FUI was generally high (mean FUI: 16.84 ± 1.85), with notable seasonal variation and spatial distribution patterns significantly influenced by dam construction and environmental features. …”
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Ways of accelerated increase of industrial reserves of hydrocarbons in Ukraine by P. M. Chepil, Yа. Н. Lazaruk, V. I. Ruzhevych, S. V. Harasym, I. Z. Mykhailovskyi

“…In building up industrial reserves of hydrocarbons and increasing their extraction, an important role belongs to the prediction of the oil and gas capacity of the subsoil and the regulation of rational subsoil use from the standpoint of the modern paradigm of deposit regeneration: – periodic reassessment of regenerated reserves of hydrocarbon deposits, primarily significant in terms of initial reserves, determination of their growth and involvement in development; – the introduction of scientific research on the study of spatial and temporal patterns of regeneration of fluid systems of deposits in oil and gas-bearing regions; – preparation and implementation of regulatory documents regulating the rational use of oil and gas-bearing subsoils in accordance with the established laws of deposit regeneration: regulations for performing hydrodynamic studies of deposits in wells and physicochemical studies of reservoir fluids; requirements and procedure for operational and periodic revaluation of industrial stocks; requirements, regulations and rules for the rational development of hydrocarbon deposits, etc. …”
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Assessment of employing different cloud cover data sources to model the Brazilian solar energy potentiality by Emerson D. Oliveira, Thomás Rocha Ferreira, Carlos Denyson da Silva Azevedo, Mario de Miranda Vilas Boas Ramos Leitão, Maria Luciene Melo

“…Global horizontal irradiance maps corroborated SSR patterns, with higher values in the Northeast and lower values in the Amazon and Southern regions. …”
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Seismicity and Surface Deformation in Kamanjab Inlier, Northern Namibia by Moses Tuutaleni Angombe, Justin Chien, Guy Salomon, Yajing Liu, Christie D Rowe, Mako Sitali, Shatimwene Shipena

“…We name the Mw 5.4 host fault "Anker Fault" and constrain its orientation using Sentinel 1 Interferometric Satellite Aperture Radar (InSAR) to image surface uplift and subsidence patterns. Given the sudden onset of the 2018 seismic activity and the absence of dams, mineral or energy exploration projects nearby, we eliminated the possibility of anthropogenic triggering. …”
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Automated Parcel Locker Configuration Using Discrete Event Simulation by Eugen Rosca, Floriana Cristina Oprea, Anamaria Ilie, Stefan Burciu, Florin Rusca

“…We proposed a data-driven discrete-event simulation (DES) model implemented in ARENA to (i) determine optimal locker configurations that ensure customer satisfaction under stochastic parcel arrivals and dwell times, (ii) examine utilization patterns and spatial allocation to enhance system operational efficiency, and (iii) characterize inventory dynamics of undelivered parcels and evaluate system resilience. …”
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Interannual variability of Indo-Pacific humpback dolphin (Sousa chinensis) habitats in the Eastern Pearl River Estuary, China by Shujie Wan, Guodong Li, Guodong Li, Guodong Li, Yutao Zhang, Yutao Zhang, Jing Cheng, Hang Yang

“…Quantifying and analyzing the temporal and spatial variations of cetacean habitats is essential for establishing marine protected areas and preserving natural cetacean populations. …”
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Spatiotemporal analysis of air pollutants and forest vegetation characteristics in Gangwon Province, South Korea by Ui-Jae Lee, Dan-Bi Kim, Do-Won Lee, Myeong-Ju Kim, Sang-Deok Lee, Sang-Deok Lee, Sang-Deok Lee

“…Emissions varied regionally, with traffic and fugitive dust dominating in urban inland areas, biomass burning in Gangneung, and industrial emissions in Donghae. Seasonal patterns showed PM peaking in spring and winter, while O3 peaked in summer. …”
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Defect R-CNN: A Novel High-Precision Method for CT Image Defect Detection by Zirou Jiang, Jintao Fu, Tianchen Zeng, Renjie Liu, Peng Cong, Jichen Miao, Yuewen Sun

“…Additionally, we introduce a custom backbone, edge-prior net (EP-Net), to capture features across multiple spatial scales, enhancing the recognition of subtle and complex defect patterns. …”
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