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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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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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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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

“…Our evidence identifies Klp5 and 6 as spatial regulators of microtubule dynamics that enhance both microtubule nucleation at the cell centre and microtubule catastrophe at the cell ends.…”
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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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Multi-criteria decision analysis for regional-scale flood susceptibility mapping in Kerala state, India by M. S. Kendagannaswamy, C. K. Roopa, B. S. Harish, M. S. Mukesh

“…This research aims to develop flood susceptibility maps for Kerala using a spatial flood database integrated within the ArcGIS interface. …”
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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

“…Here we address this gap and propose Glacier-VisionTransformer-U-Net (GlaViTU), a convolutional-transformer deep learning model, and five strategies for multitemporal global-scale glacier mapping using open satellite imagery. …”
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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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A Spatiotemporal Attention-Guided Graph Neural Network for Precise Hyperspectral Estimation of Corn Nitrogen Content by Feiyu Lu, Boming Zhang, Yifei Hou, Xiao Xiong, Chaoran Dong, Wenbo Lu, Liangxue Li, Chunli Lv

“…A hyperspectral maize nitrogen content prediction model is proposed, integrating a dynamic spectral–spatiotemporal attention mechanism with a graph neural network, with the aim of enhancing the accuracy and stability of nitrogen estimation. …”
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Automated Detection of Center-Pivot Irrigation Systems from Remote Sensing Imagery Using Deep Learning by Aliasghar Bazrafkan, James Kim, Rob Proulx, Zhulu Lin

“…YOLOv11, using Landsat 8 panchromatic data, achieved the highest detection accuracy (precision: 0.98; recall: 0.91; and F1-score: 0.94) among all tested datasets and models. Spatial autocorrelation and hotspot analysis revealed systematic prediction errors, suggesting a need to adjust training data regionally. …”
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Mapping soil organic carbon stocks of different land use types in the Southern Moscow region by applying machine learning to legacy data by Yury A. Dvornikov, Lukyan A. Mirniy, Ekaterina S. Mukvich, Kristina V. Ivashchenko

“…The root mean square error of cross-validation (RMSEcv = 0.67 kg/m2) was chosen to describe the uncertainty of soil organic carbon stock prediction. According to the model, the total soil organic carbon stocks in the upper 10 cm soil layer of the Podolsky District were 2.65 0.72 Tg, for the Serpukhovsky District 2.77 0.73 Tg.…”
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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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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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Snow drought to hydrologic drought progression using machine learning and probabilistic analysis by Pouya Moghaddasi, Keyhan Gavahi, Hamid Moradkhani

“…This study explores the relationship between Snow Water Equivalent (SWE) and streamflow in snow-dominated watersheds using the Long Short-Term Memory (LSTM) model and probabilistic analysis. While LSTM model is typically used for prediction, we employed it primarily to understand how snow affects streamflow. …”
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