Xiaoning Liu
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View article: Outer membrane vesicles-based nano-regulator for cancer immunotherapy by modulating neutrophils N1 polarization and hitchhiking delivery
Outer membrane vesicles-based nano-regulator for cancer immunotherapy by modulating neutrophils N1 polarization and hitchhiking delivery Open
Efficient eradication of cancer cells and enhanced tumor accumulation of drug via immune cells represent promising strategies for cancer treatment, yet they remain significant challenges. Inspired by neutrophils (NEs), we designed a novel …
View article: Harnessing big data analytics for environmental protection: Benefits, current applications, challenges and future prospects
Harnessing big data analytics for environmental protection: Benefits, current applications, challenges and future prospects Open
As environmental challenges grow more complex and interconnected, big data analytics has emerged as a transformative force in advancing sustainable environmental management. By enabling the real-time collection, integration, and analysis o…
View article: 3D Geological Modeling and Grade Estimation for a Gold Deposit in Shandong Province, China
3D Geological Modeling and Grade Estimation for a Gold Deposit in Shandong Province, China Open
This study focuses on the grade estimation for a hydrothermal altered underground gold deposit in Shandong Province, China. First, the 3D geological model of the deposit was constructed implicitly using the drillhole data and geological ma…
View article: Construction of an artificially intelligent model for accurate detection of HCC by integrating clinical, radiological, and peripheral immunological features
Construction of an artificially intelligent model for accurate detection of HCC by integrating clinical, radiological, and peripheral immunological features Open
Background: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. We aimed to develop a model with multimodal features (MMF) using artificial intelligence (AI) approaches to en…
View article: Prenatal exposure to a mixture of organophosphate ester and organophosphorus pesticides in relation to child neurodevelopment in the Shanghai Birth Cohort
Prenatal exposure to a mixture of organophosphate ester and organophosphorus pesticides in relation to child neurodevelopment in the Shanghai Birth Cohort Open
Neurotoxicity of organophosphate esters (OPEs) and organophosphorus pesticides (OPPs) has been documented in toxicological studies, though epidemiological evidence remains inconsistent. The developing fetal brain is susceptible to environm…
View article: Imaging simulation analysis of space targets by different observed orbits
Imaging simulation analysis of space targets by different observed orbits Open
For most optical simulations of space targets, static imaging characteristics are studied with a pre-set angle and attitude which are less consistent with the actual situation for satellite detectors’ dynamic image. Especially when the det…
View article: TrustMIS: Trust-Enhanced Inference Framework for Medical Image Segmentation
TrustMIS: Trust-Enhanced Inference Framework for Medical Image Segmentation Open
Recent advancements in privacy-preserving deep learning (PPDL) enable artificial intelligence-assisted (AI-assisted) medical image diagnostics with privacy guarantees, addressing increasing concerns about data and model privacy. However, i…
View article: NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results Open
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective network design or solution capable of generating brighter, clea…
View article: PASTA: Towards Flexible and Efficient HDR Imaging Via Progressively Aggregated Spatio-Temporal Alignment
PASTA: Towards Flexible and Efficient HDR Imaging Via Progressively Aggregated Spatio-Temporal Alignment Open
Leveraging Transformer attention has led to great advancements in HDR deghosting. However, the intricate nature of self-attention introduces practical challenges, as existing state-of-the-art methods often demand high-end GPUs or exhibit s…
View article: Three-dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining: a case study in the Jiaoxibei gold field, China
Three-dimensional modeling and geostatistical structural analysis for ore deposit prospecting trend and wisdom mining: a case study in the Jiaoxibei gold field, China Open
The orientation of deep-seated orebodies was observed shifted from the northwest to north at the Xincheng deposit in the Jiaoxibei gold field during the mining operations. To make informed decisions, understanding the geological factors in…
View article: 3D Mineral Prospectivity Mapping from 3D Geological Models Using Return–Risk Analysis and Machine Learning on Imbalance Data
3D Mineral Prospectivity Mapping from 3D Geological Models Using Return–Risk Analysis and Machine Learning on Imbalance Data Open
Three-dimensional Mineral Prospectivity Mapping (3DMPM) is an innovative approach to mineral exploration that combines multiple geological data sources to create a three-dimensional (3D) model of a mineral deposit. It provides an accurate …
View article: Big data and artificial intelligence in ophthalmology - clinical application and future exploration
Big data and artificial intelligence in ophthalmology - clinical application and future exploration Open
it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed.The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge.Front…
View article: Perceptual Multi-Exposure Fusion
Perceptual Multi-Exposure Fusion Open
As an ever-increasing demand for high dynamic range (HDR) scene shooting, multi-exposure image fusion (MEF) technology has abounded. In recent years, multi-scale exposure fusion approaches based on detail-enhancement have led the way for i…
View article: Combining 3D Geological Modeling and 3D Spectral Modeling for Deep Mineral Exploration in the Zhaoxian Gold Deposit, Shandong Province, China
Combining 3D Geological Modeling and 3D Spectral Modeling for Deep Mineral Exploration in the Zhaoxian Gold Deposit, Shandong Province, China Open
The Jiaodong Peninsula hosts the main large gold deposits and was the first gold production area in China; multisource and multiscale geoscience datasets are available. The area is the biggest drilling mineral-exploration zone in China. Th…
View article: MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning Open
Federated Learning (FL), a distributed machine learning paradigm, has been adapted to mitigate privacy concerns for customers. Despite their appeal, there are various inference attacks that can exploit shared-plaintext model updates to emb…
View article: The Novel Monkeypox Outbreak: What should we know and reflect on?
The Novel Monkeypox Outbreak: What should we know and reflect on? Open
Deep Science is an innovative and digital platform for publishing articles with the features: Preprint + Open Peer Review, which improves the transparency of peer review. In addition, Deep Science also adopts a scoring system to help reade…
View article: Applications of Radial Basis Functional Link Networks in the Exploration for Lala Copper Deposits in Sichuan Province, China
Applications of Radial Basis Functional Link Networks in the Exploration for Lala Copper Deposits in Sichuan Province, China Open
The Lala copper area in Huili County, Sichuan Province, China, is favored by superior regional metallogenic geological conditions due to its location in an extremely important copper–iron metallogenic belt in southwest China, and it has wi…