Xinyu Cai

ORCID: 0000-0003-4994-0645
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About
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Research Areas
  • Metaheuristic Optimization Algorithms Research
  • Antimicrobial Peptides and Activities
  • Molecular Sensors and Ion Detection
  • Advanced Multi-Objective Optimization Algorithms
  • Photodynamic Therapy Research Studies
  • Antimicrobial Resistance in Staphylococcus
  • Coronary Interventions and Diagnostics
  • Cardiac Imaging and Diagnostics
  • Natural Language Processing Techniques
  • Essential Oils and Antimicrobial Activity
  • Evolutionary Algorithms and Applications
  • Domain Adaptation and Few-Shot Learning
  • Metamaterials and Metasurfaces Applications
  • Topic Modeling
  • Acute Myocardial Infarction Research
  • DNA and Biological Computing
  • Machine Learning and ELM
  • Artificial Immune Systems Applications
  • Multimodal Machine Learning Applications
  • Coronary Artery Anomalies
  • Reinforcement Learning in Robotics
  • Advanced Neuroimaging Techniques and Applications
  • Phosphorus and nutrient management
  • Facilities and Workplace Management
  • Innovative Educational Technologies

Second Affiliated Hospital of Nanjing Medical University
2023-2025

Jiaxing University
2024-2025

Army Medical University
2017-2025

Nanjing Medical University
2024

Southeast University
2022-2024

Xi’an University
2024

Wuhan Polytechnic University
2024

State Key Laboratory of Millimeter Waves
2024

South China University of Technology
2024

Chinese Academy of Medical Sciences & Peking Union Medical College
2024

Recent advancements in autonomous driving have relied on data-driven approaches, which are widely adopted but face challenges including dataset bias, overfitting, and uninterpretability. Drawing inspiration from the knowledge-driven nature of human driving, we explore question how to instill similar capabilities into systems summarize a paradigm that integrates an interactive environment, driver agent, as well memory component address this question. Leveraging large language models (LLMs)...

10.48550/arxiv.2309.16292 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Many viruses often have closely related yet antigenically distinct serotypes. An ideal vaccine against viral infections should induce a multivalent and protective immune response all Inspired by bacterial membrane vesicles (MVs) that carry different protein components, we constructed an agr locus deletion mutant of the Staphylococcus aureus strain (RN4220-Δagr) to reduce potential toxicity. Nanoscale derived from this (ΔagrMVs) at least four major components can deliver heterologous...

10.1021/acs.nanolett.7b03893 article EN publisher-specific-oa Nano Letters 2017-12-18

Abstract Enterprise Development Optimizer (EDO) is a meta-heuristic algorithm inspired by the enterprise development process with strong global search capability. However, analysis of EDO shows that it suffers from defects rapidly decreasing population diversity and weak exploitation ability when dealing complex optimization problems, while its algorithmic structure has room for further enhancement in process. In order to solve these challenges, this paper proposes multi-strategy optimizer...

10.1038/s41598-025-93754-3 article EN cc-by Scientific Reports 2025-03-27

Cancer is a major cause of death worldwide, and vaccine administration an effective way to stimulate immune responses in patients achieve preventive therapeutic effects. Few vaccines have been used clinical settings because they poor immunogenicity, it difficult induce robust response patients. An adjuvant important component that can enhance the intensity, speed, duration responses. The achievements adjuvants production stable, safe, immunogenic tumor aroused enthusiasm researchers. Recent...

10.3390/vaccines13040378 article EN cc-by Vaccines 2025-03-31

Neurodevelopmental deficits(NDs) frequently occur in patients with cyanotic congenital heart disease (CCHD) because of the hemodynamic abnormalities. We aimed to evaluate white matter(WM) microstructural changes infants CHD and analyze relationship between WM NDs. A total 40 infants, 20 CCHD ACHD (matched on age sex), who underwent preoperative DTI scanning were prospectively enrolled study. Multiple linear regression analysis used investigate associations brain both clinical variables...

10.1186/s13052-025-01962-4 article EN cc-by-nc-nd ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics 2025-04-12

In real-world applications, many complex problems can be formulated as mathematical optimization challenges, and efficiently solving these is critical. Metaheuristic algorithms have proven highly effective in addressing a wide range of engineering issues. The differentiated creative search recently proposed evolution-based meta-heuristic algorithm with certain advantages. However, it also has limitations, including weakened population diversity, reduced efficiency, hindrance comprehensive...

10.3390/biomimetics10050260 article EN cc-by Biomimetics 2025-04-23

Staphylococcus aureus is an important pathogen that produces abundant virulence factors, which cause various diseases burden human health worldwide. The stress response regulon called sigma factor B (SigB) a well-characterized global regulator involved in the regulation of S. virulence, pigmentation, and biofilm formation. However, regulatory network upon SigB incompletely described. Here, we identified novel substitution mutation, SigB(Q225P), contributed nonpigmented phenotype aureus....

10.1038/s41426-018-0078-1 article EN cc-by Emerging Microbes & Infections 2018-04-20

Background Early detection and treatment are crucial for reducing gastrointestinal tumour-related mortality. The diagnostic efficiency of the most commonly used markers gastric cancer (GC) is not very high. A single laboratory test cannot meet requirements early screening, machine learning methods needed to aid diagnosis GC by combining multiple indicators. Methods Based on XGBoost algorithm, a new model was developed distinguish between precancerous lesions in newly admitted patients 2018...

10.1177/20552076241240905 article EN cc-by-nc-nd Digital Health 2024-01-01

Abstract Background Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart disease. Children with TOF would be confronted neurological impairment across their lifetime. Our study aimed to identify risk factors for cerebral morphology changes and cognition in postoperative preschool-aged children TOF. Methods We used mass spectrometry (MS) technology assess levels serum metabolites, Wechsler preschool primary scale intelligence-Fourth edition (WPPSI-IV) index scores evaluate...

10.1007/s12519-023-00754-2 article EN cc-by World Journal of Pediatrics 2023-09-22

Creative thinking and scientific knowledge are essential components of twenty-first-century learning. The aim is to assess the effectiveness an inquiry-based interdisciplinary course study, complemented by training that stimulates development creative research skills. main sample, which provided most complete data set, consisted 175 students. Participants filled out a questionnaire created authors presented in Appendix A get participants' assessment characteristics course. analysis was...

10.1080/09500693.2022.2032863 article EN International Journal of Science Education 2022-02-11

Acute lung injury (ALI) is a serious and common complication that occurs in children with congenital heart disease after cardiopulmonary bypass (CPB) surgery, leading to higher mortality rates poorer prognosis. Currently, there no reliable predictive strategy for CPB-associated (CPB-ALI) infants. Certain characteristics of the gut microbiota could potentially serve as biomarkers predicting development CPB-ALI.

10.3389/fimmu.2024.1362040 article EN cc-by Frontiers in Immunology 2024-10-24

The transition to renewable energy sources is crucial for mitigating the impacts of climate change and achieving sustainable development goals. In China, rapid industrialization urbanization have led an increasing demand energy, highlighting urgent need alternative sources. This study aims evaluate effectiveness in considering multiple criteria such as cost, environmental impact, output, reliability, scalability. We employed a Multi-Criteria Decision Analysis (MCDA) approach compare rank...

10.3390/su15108142 article EN cc-by Sustainability 2023-05-17

Domain shifts such as sensor type changes and geographical situation variations are prevalent in Autonomous Driving (AD), which poses a challenge since AD model relying on the previous domain knowledge can be hardly directly deployed to new without additional costs. In this paper, we provide perspective approach of alleviating shifts, by proposing Reconstruction-Simulation-Perception (ReSimAD) scheme. Specifically, implicit reconstruction process is based from old domain, aiming convert...

10.48550/arxiv.2309.05527 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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