Rational construction of LaFeO3 perovskite nanoparticle-modified TiO2 nanotube arrays for visible-light driven photocatalytic activity by Yu, Jiangdong, Xiang, Siwan, Ge, Mingzheng, Zhang, Zeyang, Huang, Jianying, Tang, Yuxin, Sun, Lan, Lin, Changjian, Lai, Yuekun

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Enabling Perspective-Aware Ai with Contextual Scene Graph Generation by Platnick, Daniel, Alirezaie, Marjan, Rahnama, Hossein

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Using AI for music source separation by Lee, Jasline Jie Yu

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Evaluating the Impact of Urban Consolidation Center and Off-Hour Deliveries on Freight Flows to a Retail District Using Agent-Based Simulation by Mepparambath, Rakhi Manohar, Cheah, Lynette, Zegras, P Christopher, Alho, André Romano, Sakai, Takanori

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Profiling microbial communities in idiopathic granulomatous mastitis by Ong, Seeu Si, Xu, Jia, Sim, Choon Kiat, Khng, Alexis Jiaying, Ho, Peh Joo, Kwan, Philip Kam Weng, Ravikrishnan, Aarthi, Tan, Benita Kiat-Tee, Tan, Qing Ting, Tan, Ern Yu, Tan, Su-Ming, Putti, Thomas Choudary, Lim, Swee Ho, Tang, Serene Ee Ling, Nagarajan, Niranjan, Karnani, Neerja, Li, Jingmei, Hartman, Mikael

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The effects of 2,4-D, BAP, and sucrose concentrations in the callus induction of white (Clitoria ternatea var. Albiflora) and blue butterfly pea (Clitoria ternatea) by Tengku Nurul Amira Aqma Tengku Zakaria, Hui, Shi Tan, Zurina Hassan, Sreeramanan Subramaniam, Bee, Lynn Chew

“…The highest friable callus fresh weight from the white butterfly pea explants (0.064 ± 0.010 g) was achieved in treatments of 0.40 mg/L 2,4-D and 0.50 mg/L BAP. In contrast, the highest fresh weight of friable callus for the blue variety (0.025 ± 0.016 g) was induced in 0.25 mg/L of 2,4-D. …”
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Examples out of Thin Air: AI-Generated Dynamic Context to Assist Program Comprehension by Example by Mattis, Toni, Krebs, Eva, Rinard, Martin C., Hirschfeld, Robert

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Participation in the age of foundation models by Suresh, Harini, Tseng, Emily, Young, Meg, Gray, Mary, Pierson, Emma, Levy, Karen

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An integrated framework for multi-state driver monitoring using heterogeneous loss and attention-based feature decoupling by Hu, Zhongxu, Zhang, Yiran, Xing, Yang, Li, Qinghua, Lv, Chen

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A Near-Optimal Low-Energy Deterministic Distributed SSSP with Ramifications on Congestion and APSP by Ghaffari, Mohsen, Trygub, Anton

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Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles by Golowich, Noah, Moitra, Ankur, Rohatgi, Dhruv

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Characterizing Direct Product Testing via Coboundary Expansion by Bafna, Mitali, Minzer, Dor

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Beating Brute Force for Compression Problems by Hirahara, Shuichi, Ilango, Rahul, Williams, R. Ryan

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Airway proteomics reveals broad residual anti-inflammatory effects of prednisolone in mepolizumab-treated asthma by Howell, I, Yang, F, Brown, V, Cane, J, Marchi, E, Azim, A, Busby, J, McDowell, PJ, Diver, SE, Borg, C, Heaney, LG, Pavord, ID, Brightling, CE, Chaudhuri, R, Hinks, TSC

“…<p><b>Method</b></p> The MAPLE trial was a multi-centre, randomized, double-blind, placebo-controlled, crossover study of 2 weeks of high-dose oral prednisolone treatment at stable state in 27 patients treated with mepolizumab for SEA. We analysed paired sputum (n=16) and plasma (n=25) samples from the MAPLE trial using high-throughput Olink® proteomics. …”

Boundary-aware feature propagation for scene segmentation by Ding, Henghui, Jiang, Xudong, Liu, Ai Qun, Thalmann, Nadia Magnenat, Wang, Gang

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Online dynamic ensemble deep random vector functional link neural network for forecasting by Gao, Ruobin, Li, Ruilin, Hu, Minghui, Suganthan, P. N., Yuen, Kum Fai

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ACIL: analytic class-incremental learning with absolute memorization and privacy protection by Zhuang, Huiping, Weng, Zhenyu, Xie, Renchunzi, Toh, Kar-Ann, Lin, Zhiping

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Bitstream-corrupted video recovery: a novel benchmark dataset and method by Liu, Tianyi, Wu, Kejun, Wang, Yi, Liu, Wenyang, Yap, Kim-Hui, Chau, Lap-Pui

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The magnitude and risk factors of intestinal parasitic infection in relation to human immunodeficiency virus infection and immune status, at ALERT hospital, Addis Ababa, Ethiopia by Taye, Biruhalem, Desta, Kassu, Ejigu, Selamawit, Dori, Geme Urge

“…This proportion was different among study groups with 39.2% (69/176), 38.83% (40/103) and 27.14% (38/140) in ART naïve HIV positives patients, in HIV negatives, and in HIV positive on ART patients respectively. …”
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Chemistry-Informed Machine Learning for Polymer Electrolyte Discovery by Bradford, Gabriel, Lopez, Jeffrey, Ruza, Jurgis, Stolberg, Michael A., Osterude, Richard, Johnson, Jeremiah A., Gomez-Bombarelli, Rafael, Shao-Horn, Yang

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