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Jan 15, 2025 | 
mdpi.com | Xiao Luo |Haoqiang Wu |Boyang Gao |Caihai Zou
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Jan 7, 2025 | 
mdpi.com | Wei Liu |Xiao Luo |Baojun Liang |Junhao Xie
1. IntroductionThe construction industry is an important pillar of the national economy, but the high complexity and high risks of the construction process always make safety issues the focus of the industry [1]. Due to technical lag and high labor intensity, the traditional cast-in-place construction method frequently causes safety accidents, which seriously restricts the sustainable development of the industry [2,3].
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Jan 7, 2025 | 
dx.doi.org | Xiao Luo |Xiaoling Da |Daoxin Zhang |Yichu Wu
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Dec 24, 2024 | 
mdpi.com | Xiao Luo
2.4. Research Framework and HypothesesFigure 2 shows the research model derived from S-D logic [29], focusing on online omnichannel value propositions: information need, integration quality, channel usability, convenience, and shopping innovation. It explores how consumer experience shapes value-in-context and defines value co-creation as consumer engagement.
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Dec 16, 2024 | 
mdpi.com | Xiao Luo
3.2. Establishment of the Measurement Index System 3.2.1. Cost ControlCost control can directly respond to the degree of synergy among enterprises, and the key to improving the competitiveness of enterprises is to realize the goals while controlling costs reasonably. In the projects of PB, if the design cost of components is too high, it may lead to the use of excessively expensive or unnecessary materials and processes in the design and production process, resulting in a waste of resources.
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Dec 4, 2024 | 
arxiv.org | Raghuram Dandinasivara |Xiao Luo |Barbara Hammer
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Nov 28, 2024 | 
mdpi.com | Lijun Ding |Xiao Luo |Qingyue Xian |Sishi Zhu
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Nov 21, 2024 | 
biorxiv.org | Tianyu Liu |Xiao Luo |Yijia Xiao |Hongyu Zhao
AbstractComputational methods should be accurate and robust for tasks in biology and medicine, especially when facing different types of attacks, defined as perturbations of benign data that can cause a significant drop in method performance. Therefore, there is a need for robust models that can defend attacks. In this manuscript, we propose a novel framework named RobustCell to analyze attack-defense methods in single-cell and spatial transcriptomic data analysis.
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Nov 18, 2024 | 
biorxiv.org | Tianyu Liu |Tianqi Chen |Wangjie Zheng |Xiao Luo
AbstractVarious Foundation Models (FMs) have been built based on the pre-training and fine-tuning framework to analyze single-cell data with different degrees of success. In this manuscript, we propose a method named scELMo (Single-cell Embedding from Language Models), to analyze single-cell data that utilizes Large Language Models (LLMs) as a generator for both the description of metadata information and the embeddings for such descriptions.
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Nov 17, 2024 | 
biorxiv.org | Tianyu Liu |Tinyi Chu |Xiao Luo |Hongyu Zhao
AbstractDrug synergy prediction is a challenging and important task in the treatment of complex diseases including cancer. In this manuscript, we present a novel Foundation Model, known as BAITSAO, for tasks related to drug synergy prediction with a unified pipeline to handle different datasets. We construct the training datasets for BAITSAO based on the context-enriched embeddings from Large Language Models for the initial representation of drugs and cell lines.
