Shui Yu
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View article: Research on Food Security Audit Based on Blockchain Technology
Research on Food Security Audit Based on Blockchain Technology Open
Based on the characteristics of blockchain such as decentralization, independence, security and anonymity, audit entities can explore the feasibility and application logic of its application in food security audits by leveraging technologi…
View article: Clinical observations of high-flow nasal cannula oxygenation in endobronchial ultrasound-guided transbronchial needle aspiration: a randomized controlled study
Clinical observations of high-flow nasal cannula oxygenation in endobronchial ultrasound-guided transbronchial needle aspiration: a randomized controlled study Open
Purpose The purpose of this study was to compare the clinical effects of high-flow nasal cannula oxygenation and nasopharyngeal tube oxygenation in endobronchial ultrasound-guided transbronchial needle aspiration. Patients and methods A to…
View article: Revealing Multimodal Causality with Large Language Models
Revealing Multimodal Causality with Large Language Models Open
Uncovering cause-and-effect mechanisms from data is fundamental to scientific progress. While large language models (LLMs) show promise for enhancing causal discovery (CD) from unstructured data, their application to the increasingly preva…
View article: The theory of one-dimensional spectral measures
The theory of one-dimensional spectral measures Open
View article: QVecOpt: An Efficient Storage and Computing Opti-mization Framework for Large-scale Quantum State Simulation
QVecOpt: An Efficient Storage and Computing Opti-mization Framework for Large-scale Quantum State Simulation Open
In response to the challenges in large-scale quantum state simulation on classical computing platforms, including memory limits, frequent disk I/O, and high computational complexity, this study builds upon a previously proposed hierarchica…
View article: "X of Information'' Continuum: A Survey on AI-Driven Multi-dimensional Metrics for Next-Generation Networked Systems
"X of Information'' Continuum: A Survey on AI-Driven Multi-dimensional Metrics for Next-Generation Networked Systems Open
The development of next-generation networking systems has inherently shifted from throughput-based paradigms towards intelligent, information-aware designs that emphasize the quality, relevance, and utility of transmitted information, rath…
View article: NMIXX: Domain-Adapted Neural Embeddings for Cross-Lingual eXploration of Finance
NMIXX: Domain-Adapted Neural Embeddings for Cross-Lingual eXploration of Finance Open
General-purpose sentence embedding models often struggle to capture specialized financial semantics, especially in low-resource languages like Korean, due to domain-specific jargon, temporal meaning shifts, and misaligned bilingual vocabul…
View article: Causal relationship between COVID-19, vaccination, and 20 digestive diseases: a comprehensive two-sample Mendelian randomization study
Causal relationship between COVID-19, vaccination, and 20 digestive diseases: a comprehensive two-sample Mendelian randomization study Open
View article: “Small Dots, Multiple Functions”: Unveiling the Veil of a Bioactive Quercetin Carbon Dot and Its Multifaceted Antibacterial and Osteogenesis Mechanisms for Infectious Bone Defect Repair
“Small Dots, Multiple Functions”: Unveiling the Veil of a Bioactive Quercetin Carbon Dot and Its Multifaceted Antibacterial and Osteogenesis Mechanisms for Infectious Bone Defect Repair Open
In infectious bone injury microenvironments, an ideal material should possess antibacterial, osteogenic, and angiogenic functions simultaneously. However, relying on a single material to achieve the above goals is challenging. In this stud…
View article: Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models Open
Designing complex computer-aided design (CAD) models is often time-consuming due to challenges such as computational inefficiency and the difficulty of generating precise models. We propose a novel language-guided framework for industrial …
View article: Exploring the standardized detection and sampling methods of human nasal SARS-CoV-2 RBD IgA
Exploring the standardized detection and sampling methods of human nasal SARS-CoV-2 RBD IgA Open
Introduction Vaccines capable of effectively inducing mucosal immunity, particularly specific IgA antibodies, represent an ideal strategy for preventing infections and the transmission of pathogens such as SARS-CoV-2 and influenza viruses …
View article: Impact of Dexmedetomidine on Analgesia and Inflammatory Response in Knee Surgery: A Study of IPACK and ACB Techniques
Impact of Dexmedetomidine on Analgesia and Inflammatory Response in Knee Surgery: A Study of IPACK and ACB Techniques Open
BACKGROUND The interspace between the popliteal artery and posterior capsule of the knee block (IPACK) combined with adductor canal block (ACB) has short-term analgesic effect after arthroscopic knee surgery(AKS), and prolonging the durati…
View article: A Framework to Prevent Biometric Data Leakage in the Immersive Technologies Domain
A Framework to Prevent Biometric Data Leakage in the Immersive Technologies Domain Open
Doubtlessly, the immersive technologies have potential to ease people's life and uplift economy, however the obvious data privacy risks cannot be ignored. For example, a participant wears a 3D headset device which detects participant's hea…
View article: Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations
Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations Open
View article: TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning Open
View article: An unsupervised domain adaptation method with coral-maximum mean discrepancy for subway train transmission system fault diagnosis
An unsupervised domain adaptation method with coral-maximum mean discrepancy for subway train transmission system fault diagnosis Open
Purpose In modern railway train systems, the safety of fault diagnosis technology is crucial. Currently, data-driven mainstream algorithms have achieved good results in fault diagnosis. However, current research typically focuses on the eq…
View article: Exploring the standardization of human nasal antibody measurements
Exploring the standardization of human nasal antibody measurements Open
Mucosal immunity is crucial for preventing the infection and transmission of respiratory viruses. Nasal antibody is inversely correlated with a lower risk of infection with respiratory viruses. However, the current reference standard for n…
View article: SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications Open
Deep learning (DL) enabled semantic communications leverage DL to train encoders and decoders (codecs) to extract and recover semantic information. However, most semantic training datasets contain personal private information. Such concern…
View article: TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning Open
With the increasing prevalence of Web-based platforms handling vast amounts of user data, machine unlearning has emerged as a crucial mechanism to uphold users' right to be forgotten, enabling individuals to request the removal of their sp…
View article: CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning Open
Machine unlearning allows data owners to erase the impact of their specified data from trained models. Unfortunately, recent studies have shown that adversaries can recover the erased data, posing serious threats to user privacy. An effect…
View article: DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection
DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection Open
This article introduces DT4ECG, an innovative dual-task learning framework for Electrocardiogram (ECG)-based human identity recognition and activity detection. The framework employs a robust one-dimensional convolutional neural network (1D…
View article: TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? -- A Case Study on Korea Financial Texts
TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? -- A Case Study on Korea Financial Texts Open
Domain specificity of embedding models is critical for effective performance. However, existing benchmarks, such as FinMTEB, are primarily designed for high-resource languages, leaving low-resource settings, such as Korean, under-explored.…
View article: Vdsa: Verification Against Data Selection Abuse in Federated Learning
Vdsa: Verification Against Data Selection Abuse in Federated Learning Open
View article: Characteristics of the exopolysaccharide produced by Lactobacillus delbrueckii AWT1-12 and its effect on the quality of nonfat set yogurt
Characteristics of the exopolysaccharide produced by Lactobacillus delbrueckii AWT1-12 and its effect on the quality of nonfat set yogurt Open
View article: Two-Stage Multitask Evolution for Global Exploration of Robust Analog Circuits Automation
Two-Stage Multitask Evolution for Global Exploration of Robust Analog Circuits Automation Open
View article: In Situ Electrodeposited Nanocatalysts on Carbon Fibers for Facilitating Efficient Electrosynthesis of Oxa-/Aza-Heterocycles
In Situ Electrodeposited Nanocatalysts on Carbon Fibers for Facilitating Efficient Electrosynthesis of Oxa-/Aza-Heterocycles Open
View article: Characteristics and Differences in the Antler Velvet Microbiota During Regeneration
Characteristics and Differences in the Antler Velvet Microbiota During Regeneration Open
The skin surface has a complex and dynamic ecosystem inhabited by a diverse microbiota. The wound formed by antler velvet shedding can naturally achieve regenerative restoration, but the changes in microbial composition that occur during a…
View article: Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration
Large Language Model Federated Learning with Blockchain and Unlearning for Cross-Organizational Collaboration Open
Large language models (LLMs) have transformed the way computers understand and process human language, but using them effectively across different organizations remains still difficult. When organizations work together to improve LLMs, the…
View article: Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey
Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey Open
Non-Centralized Continual Learning (NCCL) has become an emerging paradigm for enabling distributed devices such as vehicles and servers to handle streaming data from a joint non-stationary environment. To achieve high reliability and scala…
View article: Synthesis of β-SiAlON materials from blast furnace slag by acetic acid leaching combined with carbothermal reduction and nitridation
Synthesis of β-SiAlON materials from blast furnace slag by acetic acid leaching combined with carbothermal reduction and nitridation Open
In order to optimize the utilization of blast furnace slag (BFS) and enhance the cost-effectiveness and feasibility of β-SiAlON preparation, a novel approach involving acetic acid leaching-carbothermal reduction and nitridation was propose…