Sea surface temperature dictates movement and habitat connectivity of Atlantic cod in a coastal fjord system by Thomas A. B. Staveley, David M. P. Jacoby, Diana Perry, Felix van derMeijs, Ingvar Lagenfelt, Mikael Cremle, Martin Gullström

“…Highly mobile fish form an integral part of marine food webs providing linkages within and among habitats, between patches of habitats, and at different life stages. …”
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Cross-Modal Augmented Transformer for Automated Medical Report Generation by Yuhao Tang, Ye Yuan, Fei Tao, Minghao Tang

“…During the locate stage, CAT captures crucial representations by pre-aligning significant patches and their corresponding medical terminologies. …”
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MyD88 polymerization and association to cellular membranes in a yeast heterologous model by Elba del Val, Alejandro Fernández-Vega, María Molina, Víctor J. Cid

“…Deletion of its 20 N-terminal residues increased MyD88 stability, shifting its aggregation pattern from patches to filaments. In contrast, a chimeric MyD88 variant bearing the plasma membrane-binding N-terminal extension of TIRAP, another TLR4-associated myddosome component, exhibited diffuse mitochondrial distribution. …”
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Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation by Yurim Lee, Rashid Al Mukaddim, Tenzin Ngawang, Shahriar Salamat, Carol C. Mitchell, Jenna Maybock, Stephanie M. Wilbrand, Robert J. Dempsey, Tomy Varghese

“…We were able to train Mask R-CNN using regions of interests with varied pixel resolution, with a $$7\%$$ increase in pixel accuracy versus training with patches. The model achieved F1 scores of $$0.70\pm 0.29$$ for calcified regions, $$0.68\pm 0.12$$ for lipid core with fibrinous material and cholesterol crystals, and $$0.38\pm 0.12$$ for fibrous regions, as well as a pixel accuracy of $$90\%\pm 2\%$$ . …”
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Combination of Graph and Convolutional Networks for Brain Tumor Segmentation from Multi-Modal MR Images In Clinical Applications by Marjan Vatanpour, Javad Haddadnia, Shahryar Salmani Bajestani

“…The CNN will help to capture local information of patches and GNN will retrieve the global information available in the data which together can provide promising results. …”
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Fine-scale spatial point patterns of Stipa breviflora population at different “Soil Island” habitat sizes in desert steppe by XUE Yi, WANG Xing, SONG Naiping, SUI Jinming, CHEN Juan

“…Through long-term natural factors and human disturbance, the natural habitats of desert steppe become degradation and fragmentation, forming natural hard sierozem patches which were similar to islands in the extensive sandy desertified land, which were named as “Soil Island”. …”
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Parameter regionalization of large-scale distributed rainfall–runoff models using a conditional probability method by Takahiro Sayama, Masafumi Yamada, Ayato Yamakita, Yoshito Sugawara

“…Specifically, rather than optimizing parameters in many independent river basins, leading to a patched parameter distribution, regionalization should reflect the spatial distribution of hydrological signatures, such as soil and geology types. …”
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Acupuncture and Herbal Medicine for Nausea and Vomiting in Pregnancy: An Overview and Quality Assessment of Systematic Reviews by Choi SJ, Choi S, Kim DI

“…Various methods including traditional acupuncture, acupressure, acupoint injection, electroacupuncture, herbal acupoint patching, and herbal decoctions were used. Herbs like ginger and additional aromatherapies such as lemon and cardamom have also shown beneficial effects. …”
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Improved Pork-Chop Plot for Asteroid Kinetic Impact Deflection Test Mission Trajectory Optimization by Kaiduo Wang, Mingtao Li, Jianming Wang

“…It provides a set of initial values that meet the requirements within the designated window for subsequent trajectory correction, based on different mission needs. Based on the patched conic technique, this paper first establishes a dynamical model for the spacecraft’s trajectory to the asteroid and then determines the parameters for both Earth departure and asteroid impact by solving the Lambert problem. …”
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Few-shot Remote Sensing Imagery Recognition with Compositionality Inductive Bias in Hierarchical Representation Space by Shichao Zhou, Zhuowei Wang, Zekai Zhang, Wenzheng Wang, Yingrui Zhao, Yunpu Zhang

“…Each cluster centroid represents a re-occurring part. New patches are allocated to the nearest cluster centroid, and then we obtain the posterior representation; 2) compositional and discriminative representation. …”
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Text-Guided Visual Representation Optimization for Sensor-Acquired Video Temporal Grounding by Yun Tian, Xiaobo Guo, Jinsong Wang, Xinyue Liang

“…First, we design a Spatial Visual Representation Optimization (SVRO) module to learn spatial information within intra-frames. It selects salient patches related to the text, capturing more fine-grained visual details. …”
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RADARSAT constellation mission compact polarisation SAR data for burned area mapping with deep learning by Yu Zhao, Yifang Ban

“…The training dataset comprises 46,295 patches, generated from 12 major wildfire events in Canada. …”
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Cerebrospinal fluid from patients with amyotrophic lateral sclerosis inhibits sonic hedgehog function. by Anna Drannik, Joan Martin, Randy Peterson, Xiaoxing Ma, Fan Jiang, John Turnbull

“…Since purmorphamine acts on Smoothened, downstream of Shh and its receptor Patched, the inhibitory action is downstream of Smoothened. …”
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Feature fusion-enhanced t-SNE image atlas for geophysical features discovery by Leonardo Portes, Guillaume Pirot, Michel M. Nzikou, Jeremie Giraud, Mark Lindsay, Mark Jessell, Edward Cripps

“…Utilizing Haralick texture descriptors, we encode data patches from different geophysical datasets as points in a high-dimensional unified representation space, facilitating seamless data fusion. …”
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Mapping emergent coral reefs: a comparison of pixel‐ and object‐based methods by Amy Stone, Sharyn Hickey, Ben Radford, Mary Wakeford

“…Mean shift segmentation was assessed as the preferred method and applied in the final OB model (SAM exhibited poor identification of coral patches on the bommie). While good cross‐validation accuracies were achieved for both models, the PB had generally higher overall accuracy (mean accuracy PB = 75%, OB = 70%) and kappa (mean kappa PB = 0.69, OB = 0.63), making it the preferred method for monitoring coral cover. …”
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How have changes in accessibility and public funding influenced contraceptive use among Norwegian adolescents? A cohort study by Sunniva Sæbø, Finn Egil Skjeldestad

“…The expansion of the reimbursement scheme to cover POPs, patches, vaginal ring, and depot medroxyprogesterone acetate in 2006 had minor impact on increasing the proportion of long‐term first‐time users. …”
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Identifying COVID-19-Infected Segments in Lung CT Scan Through Two Innovative Artificial Intelligence-Based Transformer Models by Zeinab Momeni pour, Ali Asghar Beheshti Shirazi

“…This model processes 3D patches directly as input and learns sequential representations of the volumetric data. …”
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Modeling forest canopy structure and developing a stand health index using satellite remote sensing by Pulakesh Das, Parinaz Rahimzadeh-Bajgiran, William Livingston, Cameron D. McIntire, Aaron Bergdahl

“…The resulting health index map successfully delineated patches representing various health categories. Forestry practitioners and decision-makers can use the derived health index map and intermediate spatial data layers (LAI and LCR) to guide stand management. …”
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Functional Diversity and Ecosystem Services of Birds in Productive Landscapes of the Colombian Amazon by Jenniffer Tatiana Díaz-Cháux, Alexander Velasquez-Valencia, Alejandra Martínez-Salinas, Fernando Casanoves

“…Functional diversity increased in mosaics containing closed vegetation patches with symmetrical configurations. Variations in functional guilds were linked to low functional redundancy, which may also lead to differences in the provision of regulating ecosystem services such as biological pest control and seed dispersal—both of which are critical for the regeneration and connectivity of productive rural landscapes. …”
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Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training by Yi Xiang, Rajendra Acharya, Quan Le, Jen Hong Tan, Chiaw-Ling Chng

“…In this study, We first pre-train a Masked Autoencoder (MAE) to reconstruct masked patches, then fine-tune on thyroid US data, and further explore a cross-attention mechanism to enhance information flow between encoder and decoder.ResultsOur experiments on the public AIMI, TN3K, and DDTI datasets show that MAE pre-training accelerates convergence. …”
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