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Deep learning enables automated assessments of inflammatory response in zebrafish exposed to different pollutants

Autor: Xu, Lulu, Qin, Peiwu, Chen, Zhenglin, Yang, Jiaqi

In the field of environmental toxicology, rapid and precise assessment of the inflammatory response to pollutants in biological models is critical. This study leverages the power of deep learning to enable automated assessments of zebrafish, a model

Externí odkaz: http://arxiv.org/abs/2406.00603

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Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN)

Autor: Deng, Jiaming, Chen, Zhenglin, Chen, Minjiang, Xu, Lulu, Yang, Jiaqi, Luo, Zhendong, Qin, Peiwu

Mycoplasma pneumoniae pneumonia (MPP) poses significant diagnostic challenges in pediatric healthcare, especially in regions like China where it's prevalent. We introduce PneumoniaAPP, a mobile application leveraging deep learning techniques for rapi

Externí odkaz: http://arxiv.org/abs/2404.00549

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Akademický článek

Foster Caregiver Perspectives on Barriers and Facilitators to Providing Trauma-informed Care

Autor: Xu, Lulu, Banson, Kara, Byatt, Nancy, Lanni, Diane, Forkey, Heather

Publikováno v: Child Welfare, 2024 Jan 01. 101(6), 95-120.

Externí odkaz: https://www.jstor.org/stable/48774460

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Exploring the role of bridging nodes linking adverse childhood experiences and psychological risk factors in suicidal ideation among MSM.

Autor: Xu, Huifang^1,2 (AUTHOR), Xu, Lulu¹ (AUTHOR), Wang, Zuxin^1,2 (AUTHOR), Xu, Chen² (AUTHOR), Hu, Fan² (AUTHOR), Cai, Yong² (AUTHOR) caiyong202028@hotmail.com, Wang, Ying² (AUTHOR) yingwangxun@outlook.com

Publikováno v: Scientific Reports. 12/5/2024, Vol. 14 Issue 1, p1-13. 13p.

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Positive valence ≠ positive effect: impact of positive meta-stereotypes on the cognitive performance.

Autor: He, Wen¹ (AUTHOR), Xu, Lulu² (AUTHOR), Hu, Yanting¹ (AUTHOR), Xu, Yuepei³ (AUTHOR), Dong, Tiantian¹ (AUTHOR) 18865474552@163.com, Zhao, Huanhuan¹ (AUTHOR) hhzhaopsy@shnu.edu.cn

Publikováno v: Journal of Social Psychology. 2024, Vol. 164 Issue 6, p913-929. 17p.

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Solid-state synthesis of aluminophosphate-based zeotypes from conventional amorphous precursors: Strategy and catalytic performance

Autor: Li, Xue, Li, Xiaolei, Liu, Xiaoming, Song, Xinning, Wang, Bo, Xu, Lulu, Tao, Shuo

Publikováno v: In Microporous and Mesoporous Materials 15 January 2025 382

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Akademický článek

Flame-retardant coatings for wooden structures

Autor: Lee, Yuan Xien, Wang, Wei, Lei, Yu, Xu, Lulu, Agarwal, Vipul, Wang, Cheng, Yeoh, Guan Heng

Publikováno v: In Progress in Organic Coatings January 2025 198

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Akademický článek

Precision determination of the laser-induced damage threshold for infrared glasses under femtosecond laser irradiation

Autor: Xie, Peipei, Yang, Fan, Xu, Lulu, Wang, Shunbin, Dai, Shixun, Zhang, Peiqing, Wang, Pengfei

Publikováno v: In Optics and Laser Technology January 2025 180

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Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

Autor: Liu, Yang, Zhang, Ersi, Xu, Lulu, Xiao, Chufan, Zhong, Xiaoyun, Lian, Lijin, Li, Fang, Jiang, Bin, Dong, Yuhan, Ma, Lan, Huang, Qiming, Xu, Ming, Zhang, Yongbing, Yu, Dongmei, Yan, Chenggang, Qin, Peiwu

Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) scans or computed tomography (CT) scans, which allow the localization a

Externí odkaz: http://arxiv.org/abs/2205.04227

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