Molecular Dynamics-Based Two-Dimensional Simulation of Powder Bed Additive Manufacturing Process for Unimodal and Bimodal Systems by Yeasir Mohammad Akib, Ehsan Marzbanrad, Farid Ahmed

“…The packing density in the powder bed dictates the bulk powder behavior and in-process performance and, therefore, significantly impacts the mechanical and physical properties of the printed components. Numerical modeling of the powder bed process helps to understand the powder spreading process and predict experimental outcomes. …”
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Discriminative Cross-Modal Attention Approach for RGB-D Semantic Segmentation by emad mousavian, Danial Qashqai, Shahriar B. Shokouhi

“…By integrating the DCMAF module with efficient channel- and spatial-wise attention modules, we introduce the Discriminative Cross-modal Network (DCMNet), a scale- and appearance-invariant model. …”
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Cosmological Constraints from Combining Photometric Galaxy Surveys and Gravitational Wave Observatories by E.L. Gagnon, D. Anbajagane, J. Prat, C. Chang, J. Frieman

“…More interestingly, the optical-GW data combination provides tight constraints on models with primordial non-Gaussianity (PNG), due to the predicted scale-dependent bias in PNG models on large scales. …”
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DHS-YOLO: Enhanced Detection of Slender Wheat Seedlings Under Dynamic Illumination Conditions by Xuhua Dong, Jingbang Pan

“…Third, we implement the ShapeIoU loss function that prioritizes geometric consistency between predicted and ground truth bounding boxes, particularly optimizing for slender plant structures. …”
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Light-driven phenotypic plasticity in the depth-generalist coral, Pavona varians. by Claire J Lewis, Shayle B Matsuda, Tayler L Sale, Caitlyn Genovese, Chelsea S Wolke, Norton Chan, Stephen Ranson, Jake M Ferguson, Amy L Moran, David A Gulko, Peter B Marko

“…Climate change is causing shifts in the spatial distribution of species and a reshuffling of the composition of multiple community types. …”
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Investigating non fluorescence nanoparticle transport in Matrigel-filled microfluidic devices using synchrotron X-ray scattering by Alberto Martín-Asensio, Irene Pardo, Rocío Mesa, Demian Pardo, Juan P. Fernández-Blázquez, Juan Carlos Martínez-Guil, Milagros Castellanos, Jaime J. Hernández, Álvaro Somoza, Isabel Rodríguez

“…By implementing X-ray scattering to track unmodified nanomedicines within extracellular matrix-like microenvironments, increasingly accurate models for evaluating and predicting therapeutics transport behaviors can be developed.…”
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Development of an Augmented Reality Surgical Trainer for Minimally Invasive Pancreatic Surgery by Doina Pisla, Nadim Al Hajjar, Gabriela Rus, Bogdan Gherman, Andra Ciocan, Corina Radu, Calin Vaida, Damien Chablat

“…A convolutional neural network (CNN) model predicts forces without physical sensors, achieving a mean absolute error of 0.0244 N. …”
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The Impacts of Reservoir Heterogeneities on the CO₂-Enhanced Oil Recovery Process—A Case Study of Daqingzijing Block in Jilin Oilfield, China by Zetang Li, Tianfu Xu, Hailong Tian, Ruosheng Pan

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A Spectroastrometric Study of the Low-velocity Wind from DG Tau A by Yu-Ru Chou, Michihiro Takami, Shin-Ping Lai, Emma Whelan, Noah B. Otten, Min Fang, Akito Tajitsu, Masaaki Otsuka, Hsien Shang, Chun-Fan Liu, Jennifer Karr, Aisling Murphy

“…We find that the observed line profiles and the spatial scales of the LVC emission do not agree with the existing predictions for photoevaporative or magnetohydrodynamical disk winds. …”
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Environmental drivers of Culicoides phenology: how important is species-specific variation when determining disease policy? by Kate R Searle, James Barber, Francesca Stubbins, Karien Labuschagne, Simon Carpenter, Adam Butler, Eric Denison, Christopher Sanders, Philip S Mellor, Anthony Wilson, Noel Nelson, Simon Gubbins, Bethan V Purse

“…We conclude that the current treatment of Avaritia Culicoides as a single group inhibits understanding of environmentally-driven spatial variation in species phenology and hinders the development of models for predicting the SVFP from environmental factors. …”
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Contemporaneous formation of self-secondaries and layered ejecta deposits on Mars by Fanglu Luo, Zhiyong Xiao, Rui Xu, Yizhen Ma, Yiren Chang, Wei Cao, Yichen Wang, Jun Cui

“…Recognized self-secondaries primarily occur on rim deposits and are largely absent on layered ejecta deposits, suggesting that the emplacement of self-secondaries and layered ejecta deposits occurred in a narrow time window. Comparison with model-predicted distributions of self-secondaries suggests that fragments forming self-secondaries did not uniformly have near-vertical ejection angles and may have slightly larger angles than those of normal excavation flows, explaining their common occurrence on airless planetary bodies. …”
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Numerical investigation of nonlinear interaction between salinity- and sediment-induced stratification in highly turbid estuaries and coastal seas by Jian Zhou, Bing Sun, Huiming Zhang, Saiyu Yuan, Hongwu Tang

“…These findings highlight the necessity of incorporating sediment's modulation of classical strain-induced periodic stratification due to salinity gradients in numerical models to improve predictions of buoyancy and stability in highly turbid estuarine and coastal systems.…”
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Size Effect on Energy Characteristics of Axial Flow Pump Based on Entropy Production Theory by Hongliang Wang, Xiaofeng Wu, Xiao Xu, Suhao Bian, Fan Meng

“…By solving the unsteady Reynolds-averaged Navier–Stokes (URANS) equations with the Shear Stress Transport (SST) k-omega turbulence model, the external characteristic parameters and internal flow field structures were predicted. …”
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Stable developmental patterns of gene expression without morphogen gradients. by Maciej Majka, Nils B Becker, Pieter Rein Ten Wolde, Marcin Zagorski, Thomas R Sokolowski

“…The optimal parameter regime found in simulations of the embryo model closely agrees with the predictions of our coarse-grained stability theory. …”
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Low-Shot Weakly Supervised Object Detection for Remote Sensing Images via Part Domination-Based Active Learning and Enhanced Fine-Tuning by Peng Liu, Boxue Huang, Tingting Jin, Hui Long

“…ACRT contributes to refining the model at different active stages, especially for under-performed classes, and to reducing the impact of noisy predictions. …”
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YOLO-MARS: An Enhanced YOLOv8n for Small Object Detection in UAV Aerial Imagery by Guofeng Zhang, Yanfei Peng, Jincheng Li

“…Finally, a dynamic WIoU evaluation function is implemented, constructing adaptive penalty terms based on the spatial distribution characteristics of predicted and ground-truth bounding boxes, thereby optimizing the boundary localization accuracy of densely packed small targets from the UAV viewpoint. …”
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A DOFS-Based Approach to Calculate the Height of Water-Flowing Fractured Zone in Overlying Strata under Mining by Chunde Piao, Jinjun Li, Dangliang Wang, Wei Qiao

“…After comparing the height with the abscission layer position in the model test and the predicted height by the empirical formulas in the specification, it has been found that the three results are basically consistent, which in turn verifies the accuracy of this method.…”
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A “Foundation-Function-Structure” Framework for Multiple Scenario Assessment of Land Change-Induced Dynamics in Regional Ecosystem Quality by Yue Pan, Jing Gao, Jianxin Yang

“…This study investigates the spatial-temporal evolution of ecosystem quality in Wuhan from 2000 to 2020 and forecasts future trends under multiple land use scenarios for 2030. …”
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Refining Rainfall Derived from Satellite Radar for Estimating Inflows at Lam Pao Dam, Thailand by Nathaporn Areerachakul, Jaya Kandasamy, Saravanamuthu Vigneswaran, Kittitanapat Bandhonopparat

“…The Kriging method was employed to estimate the spatial distribution of rainfall over the catchment area. …”
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Exploring Shared Bicycle Travel Patterns from a Multidimensional Spatiotemporal Interaction Perspective Based on Tensor Decomposition: A Case Study of Central Shenzhen Area by Zheng Jixiang, Tao Haiyang, Zhuo Li, Shi Yufei, Bao Han, Huang Runjie

“…Initially, we used statistical methods to conduct an exploratory analysis of the data, uncovering the temporal, spatial, and Origin-Destination (OD) flow characteristics of urban cycling. …”
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