A renewable double plasma mirror for Petawatt-class lasers by Nick Czapla, Derek M. Nasir, Lieselotte Obst-Huebl, Anthony Zingale, Jianhui Bin, Anthony J. Gonsalves, Sven Steinke, Kei Nakamura, Carl B. Schroeder, Eric Esarey, Cameron G. R. Geddes, Douglass W. Schumacher

“…We present the first measurements of a beam reflected from a single or double plasma mirror system using a wavefront sensor, showing a well preserved wavefront and spatial mode. Finally, we introduce a model that predicts the total throughput through this double plasma mirror. …”
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Multivariate and long-term time series analysis to assess the effect of nitrogen management policy on groundwater quality in Wallonia, BE by E. Verstraeten, A. Alonso, L. Collier, M. Vanclooster

“…</p> <p>Importantly, the findings are not fully conclusive due to the limited predictive power of the regression models. This highlights the multifaceted nature of groundwater nitrate contamination and the challenges in defining input variables that accurately capture the drivers. …”
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Global and regional patterns of soil metal(loid) mobility and associated risks by Chongchong Qi, Tao Hu, Yi Zheng, Mengting Wu, Fiona H. M. Tang, Min Liu, Bintian Zhang, Sybil Derrible, Qiusong Chen, Gongren Hu, Liyuan Chai, Zhang Lin

“…Here we show a theory-guided machine learning model that predicts soil metal(loid) fractionation across the globe. …”
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Wastewater-based surveillance data to determine the COVID-19 trends in communities with low populationMendeley Data by Aiswarya Rani Pappu, Ashley Green, Melanie Oakes, Sunny Jiang

“…This dataset will help to 1) improve future wastewater based epidemiological models, 2) improve understanding on PMMoV concentration ranges in wastewater at low population communities, 3) develop methods to support data interpretation, and 4) understand the effects of spatial scales on sampling frequency and infection outbreak detection.…”
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Reflection of two-dimensional surface polaritons by metallic nano-plates on atomically thin crystals by Lee Seojoo, Kang Ji-Hun

“…Owning to their unusual optical properties, such as electrical tunability and strong spatial confinement, two-dimensional surface polaritons (2DSPs) hold great promise for deep sub-wavelength manipulation of light in a reduced low-dimensional space. …”
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S. pombe kinesins-8 promote both nucleation and catastrophe of microtubules. by Muriel Erent, Douglas R Drummond, Robert A Cross

“…In vivo, we predict that only at cell ends, when growing microtubule tips become lodged and their growth slows down, will Klp5/6 motor activity succeed in tracking growing microtubule tips. …”
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Travel patterns in China. by Tini Garske, Hongjie Yu, Zhibin Peng, Min Ye, Hang Zhou, Xiaowen Cheng, Jiabing Wu, Neil Ferguson

“…Travel patterns in both populations were well-fitted by a gravity model with a lognormal kernel function. The results provide the first quantitative information on human travel patterns in modern China, and suggest that a pandemic emerging in a less developed area of rural China might spread geographically sufficiently slowly for containment to be feasible, while spatial spread in the more economically developed areas might be expected to be much more rapid, making containment more difficult.…”
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Globally scalable glacier mapping by deep learning matches expert delineation accuracy by Konstantin A. Maslov, Claudio Persello, Thomas Schellenberger, Alfred Stein

“…The calibrated confidence for glacier extents is reported making the predictions more reliable and interpretable. We also release a benchmark dataset that covers 9% of glaciers worldwide. …”
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Segregation of particles during maize loading process in a center-loaded silo by Guixiang Chen, Chaosai Liu, Deqian Zheng, Dianxuan Wang

“…Inorganic impurities mainly accumulated in the 1/4–3/4 radius, while other organic impurities accumulated mostly near the wall of the silo. A nonlinear model considering kernel breakage and segregation was developed to predict the porosity distribution in the vertical and radial direction in the silo. …”
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Recombinant expression and functional analysis of transgelin-like protein from the shell of Mytilus coruscus by JIANG Yuting, SUN Qi, XU Huanzhi, SHEN Wang, ZHANG Xiaolin, FAN Meihua, LIAO Zhi

“…Sequence analysis showed that the TLP contained a calponin homology (CH) domain, and the spatial structure of TLP predicted by SWISS-MODEL presented a conformation formed predominately by α-helices. …”
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Advances in tumor subclone formation and mechanisms of growth and invasion by Yuhong Zhang, Weidong Wang

“…Major methodologies for studying tumor subclones include single-cell sequencing, liquid biopsy, and spatial transcriptomics, which provide insights into clonal architecture and dynamic evolution. …”
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Detecting forest and linear woody feature change between 1954 and 2019 in Southeastern Canadian agroecosystems for regional biodiversity assessment by Darren Pouliot, Niloofar Alavi, Mao Mao, Jon Pasher, Jason Duffe

“…The deep learning model developed here successfully mapped forests and LWFs between 1954 and 2019 using just a single image band, enabling reliable change estimation. …”
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Disaster recovery and business continuity: A case of MSMEs in Dar es Salaam by Tumpale Sakijege

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How the hadron gas affects X(3872) and ψ(2S) production in heavy ion collisions by Abreu Luciano M., Navarra Fernando S., Vieira Hildeson P.L.

“…The initial conditions for this evolution are given by the coalescence model, which depends on the spatial configuration of the states and yields quite different numbers for compact tetraquarks and extended meson molecules. …”
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Evaluating Modified Soil Erodibility Factors with the Aid of Pedotransfer Functions and Dynamic Remote-Sensing Data for Soil Health Management by Pooja Preetha, Naveen Joseph

“…The results highlighted that the Kmlr model provided more accurate sediment yield (SY) predictions, particularly in agricultural areas, where traditional models overestimated erosion by upto 59.23 ton/ha. …”
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Urban tree species benchmark dataset for time series classificationEasyData - Data Terra by Clément Bressant, Romain Wenger, David Michéa, Anne Puissant

“…Model outputs—predicted species, confidence scores, and correctness flags—are provided, along with an interactive t-SNE visualization of the latent feature space for interpretability and error analysis. …”
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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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