Antimicrobial prescribing patterns among pediatric outpatient encounters in primary healthcare centers in Bujumbura Mairie, Burundi by Audace Manirakiza, Shital Mahindra Maru, David Gitonga Nyamu, Thomas Bizimana, Manassé Nimpagaritse

“…Methods We conducted a cross-sectional study at 20 PHCs in Bujumbura Mairie, Republic of Burundi, to evaluate antimicrobial prescribing patterns. We collected retrospectively 2022-year data from medical records using the World Health Organization/International Network of Rational Use of Drugs (WHO/INRUD) core drug indicators. …”
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Trade-Offs and Synergies Between Ecosystem Services and Their Ecological Security Patterns in the Guanzhong–Tianshui Economic Zone by Jing Zhou, Jianhua Xiao, Daiying Yin, Yu Ren

“…The Guanzhong–Tianshui economic zone is a strategic link in China’s Belt and Road network, faces the contradiction between ecological protection and economic development, and urgently needs to construct an ecological security pattern based on ecosystem services to permit sustainable development. …”
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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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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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Dual-Path Adversarial Denoising Network Based on UNet by Jinchi Yu, Yu Zhou, Mingchen Sun, Dadong Wang

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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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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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Clustering and Detecting Network Intrusion Based on Fuzzy Algorithms by Manar Kashmola, Bayda Khaleel

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Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…Penelitian ini mengusulkan arsitektur sederhana Convolutional Neural Network (CNN) untuk meningkatkan efisiensi klasifikasi emosi pada dataset kecil. …”
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Evaluation of gridded precipitation datasets over Iran by Mohammad Saeed Najafi, Omid Alizadeh, Tobias Sauter

“…We recommend ERA5 for real-time monitoring in Zone 1, while GPCC is better suited for long-term studies in areas with dense rain gauge networks.…”
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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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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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Research on disaster information dissemination based on social sensor networks by Shanshan Wan, Zhuo Chen, Cheng Lyu, Ruofan Li, Yuntao Yue, Ying Liu

“…Previous studies mainly focused on the impact of human mobility patterns on social sensor networks. In this article, based on the inherent autonomy property of human individuals, we propose a social sensor information dissemination model, which mainly focuses on the impact of the individual characteristics, social characteristics, and group information dissemination mode on social sensor networks. …”
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Graph Neural Networks for Pressure Estimation in Water Distribution Systems by Huy Truong, Andrés Tello, Alexander Lazovik, Victoria Degeler

“…Second, a realistic evaluation protocol that considers real temporal patterns and noise injection to mimic the uncertainties intrinsic to real‐world scenarios. …”
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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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Generative Adversarial Networks for Dynamic Cybersecurity Threat Detection and Mitigation by William Villegas-Ch, Rommel Gutierrez, Jaime Govea

“…The model is designed to detect anomalies in network traffic and generate malicious synthetic patterns to strengthen system defenses. …”
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