Comparison of Wound Healing Effects of Different Micro-Patterned Hydrogels on the Skin of Secondary Intention Rat Model by Hong Jin Choi, Zeeshan Ahmad Khan, AbuZar Ansari, Jeonghyun Choi, Eun Jin Kim, Seo-Hee Han, Ho-Jun Song, Ok Chan Jeong, Yonggeun Hong

“…Materials and Methods: Three different micro-patterned (waves, lines, and checks) hydrogel patches were created using three-dimensional polymer networks. …”
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A Review of Link Prediction Algorithms in Dynamic Networks by Mengdi Sun, Minghu Tang

“…After summarizing and comparing the common datasets and evaluation indicators for dynamic network link prediction, we briefly review classic related algorithms in recent years, and classify them according to the network changes, sampling methods, underlying principles of algorithms, and other classification methods. …”
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Racial and Ethnic Disparities in Dietary Intake and Quality Among United States Veterans by Xuan-Mai T Nguyen, Yanping Li, Stacey B Whitbourne, Luc Djousse, Dong D Wang, Kerry Ivey, Walter C Willett, John Michael Gaziano, Kelly Cho, Frank B Hu

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Convolutional Neural Networks for Predicting Power Outages in Baghdad by Saja Jafar Jawad, Shaymaa. W. Al-Shammari

“…The research uses this dataset to train one-dimensional Convolutional Neural Networks (1D CNN) to find patterns and relationships that can accurately predict when power outages can happen in the long term and short term to improve the management of the Baghdad electricity grid through data-driven networks. …”
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Graph Neural Network Learning on the Pediatric Structural Connectome by Anand Srinivasan, Rajikha Raja, John O. Glass, Melissa M. Hudson, Noah D. Sabin, Kevin R. Krull, Wilburn E. Reddick

“…Architecture exploration experiments were conducted to evaluate the impact of network depth, pooling techniques, and skip connections on the ability of GNN models to capture connectomic patterns. …”
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Dual-Path Adversarial Denoising Network Based on UNet by Jinchi Yu, Yu Zhou, Mingchen Sun, Dadong Wang

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Binarized Neural Networks for Resource-Efficient Spike Sorting by Luca M. Meyer, Majid Zamani, Andreas Demosthenous

“…In contrast, binarized neural networks offer great potential for on-chip sorting, mainly relying on bitwise operations and accumulations. …”
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Grinding wheel wear evaluation with the PMSCNN model by Sumei Si, Zekai Si, Deqiang Mu, Hailiang Tang

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The Importance of X-Ray in Examination of Lungs in Patients with Inhalation Trauma by E. A. Beresneva, T. G. Spiridonova, E. A. Zhirkova, M. V. Barinova, T. I. Semenova, P. A. Brygin, O. A. Zabavskaya, E. P. Sokolova, E. A. Lapshina, A. S. Orlov

“…Using a statistical evaluation, we showed that the presence of network deformation of the pulmonary pattern under the conditions of IT is an objective feature, confirmed with Cohen’s kappa coefficient (0.6±0.14; 95% CI [0.32–0.88]).…”
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LIQUEFACTION POTENTIAL ASSESSMENT USING MULTILAYER ARTIFICIAL NEURAL NETWORK

“…In this paper, the classification operation, in which an input pattern is passed to the network and the network produces a representative class as output, is considered for evaluation of liquefaction hazard potential. …”
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Evaluation of gridded precipitation datasets over Iran by Mohammad Saeed Najafi, Omid Alizadeh, Tobias Sauter

“…The accuracy of these datasets in representing precipitation patterns is assessed from 2000 to 2017, with a focus on their performance across diverse climate zones in Iran. …”
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Quantum Neural Network Based Machine Translator for Hindi to English by Ravi Narayan, V. P. Singh, S. Chakraverty

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Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies. by Adrian J Green, Lisa Truong, Preethi Thunga, Connor Leong, Melody Hancock, Robyn L Tanguay, David M Reif

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Reinventing the Trochoidal Toolpath Pattern by Adaptive Rounding Radius Loop Adjustments for Precision and Performance in End Milling Operations by Santhakumar Jayakumar, Sathish Kannan, Poongavanam Ganeshkumar, U. Mohammed Iqbal

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Phenology and foraging bias contribute to sex‐specific foraging patterns in the rare declining butterfly Argynnis idalia idalia by Matthew W. Chmielewski, Skyler Naya, Monica Borghi, Jen Cortese, Alisdair R. Fernie, Mark T. Swartz, Konstantina Zografou, Brent J. Sewall, Rachel B. Spigler

“…We highlight the importance of considering sex‐specific foraging patterns when studying interaction networks, and in making conservation management decisions for this at‐risk butterfly and other species exhibiting strong intraspecific variation.…”
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Watershed-scale dispersal patterns of juvenile Chinook Salmon (Oncorhynchus tshawytscha) revealed through genetic parentage analysis by Matthew J. Kaylor, Lindsy R. Ciepiela, Melody Feden, Joseph T. Lemanski, Casey Justice, Benjamin A. Staton, Jonathan B. Armstrong, Stefan Kelly, Shawn R. Narum, Ian A. Tattam, Seth M. White

“…We evaluated overall dispersal patterns, longitudinal trends across the watershed, and relationships between dispersal and biophysical factors, including thermal conditions, network-scale abundance estimates, and juvenile size-at-capture. …”
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SankeyNetwork: A clear and concise visualization tool for bibliometric data by Sher-Wei Lim, Willy Chou, Lifan Chen

“…This study proposes a novel framework to overcome the limitations of traditional bibliometric visualizations—such as co-word network charts—by integrating Sankey diagrams with author collaborations and co-word occurrences to better identify key contributors and themes. …”
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Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data by Zhaoxin Liu, Xiaolu Wang, Yufeng Bi, Jun Kong, Run Xu, Yuanpei Chen, Jinjun Tang

“…Travel patterns reflect the regularity of residents’ mobility, and it is a crucial factor to evaluate the reasonability of urban spatial structure and connectivity of road networks. …”
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Research on the Influence of Evolution of Landscape Patterns of Blue-Green Space on the Cooling Effect in the Central Urban Area of Xi’an by Weiying KONG, Yizhuo LIU, Sichun DONG, Yuandong HU

“…The research methodology involves selecting six representative landscape indices to evaluate the changes in blue-green space patterns in the central urban area of Xi’an. …”
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Control of Linear-Threshold Brain Networks via Reservoir Computing by Michael McCreesh, Jorge Cortes

“…Given the impracticality of evaluating closed-form control signals, particularly with growing network complexity, we provide a framework where a reservoir of a larger size than the network is trained to drive the activity to the desired pattern. …”
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