Tianjin University

On the Effectiveness of Training Data Optimization for LLM-based Code Generation: An Empirical Study

Large language models (LLMs) have achieved remarkable progress in code generation, largely driven by the availability of high-quality code datasets for effective training. To further improve data quality, numerous training data optimization techniques have been proposed; however,...

Synergistic Optimization of Reference Electrode and Solid Electrolyte for Bi/Bi2O3 Oxygen Sensors

The Bi/Bi2O3-type oxygen sensor is extensively employed for oxygen monitoring in liquid lead-bismuth eutectic (LBE)-cooled reactors, yet its low-temperature measurement accuracy remains a critical bottleneck limiting engineering deployment. This study aims to extend the lower ope...

Enhancement of the optical and spin properties of silicon vacancies in proton-implanted 4H-SiC via femtosecond laser annealing

The silicon vacancy (VSi) in 4H-SiC represents a promising candidate for solid-state qubits. However, conventional high-temperature annealing typically suffers from undesired impurity diffusion and limited spatial localization during fabrication. Here, we present a femtosecond la...

An Edge Computing-Enabled Optimal Control Method for Low-Voltage Distribution Networks

High penetration of distributed photovoltaic (PV) generation in low-voltage distribution networks can cause voltage violations, limited PV accommodation, and uneven loading among neighboring distribution transformers (DTs). To address these issues, an edge computing-enabled optim...

A methodological framework for intelligent management and control systems in the AEC industry based on the double diamond model

The Double Diamond model, developed by [The British Design Council. (Citation2005). The Double Diamond-Design Council. Available at: https://www.designcouncil.org.uk/our-resources/the-double-diamond (Accessed: 29 August 2024)], structures system design through two diamond-shaped...

A Multiscale Numerical Approach to Long‐Term Stability Analysis in Rock Engineering

ABSTRACT Long‐term stability of rock engineering structures is controlled by progressive strength degradation under sustained loading, yet direct experimental determination of long‐term strength (LTS) is severely constrained by impractically long testing durations and strong mate...

Simultaneous Measurement of Total and Occupied/Free PD-1 on a Single Cell by Mass Cytometry: Development of a Novel Method for Receptor Occupancy Assessment

Receptor occupancy (RO) assays are often used to quantify and characterize the binding profiles of antibody-based therapeutic drugs to target receptors, providing valuable pharmacodynamic insights. Programmed cell death protein 1 (PD-1) is a key immune checkpoint that suppresses...

Synergistic Enhancement of Luminescence Dissymmetry Factor and Quantum Yield via Hybrid Copper(I) Iodide Cluster and Cellulose Nanocrystal Bilayer Films

ABSTRACT Circularly polarized luminescence (CPL) has emerged as a cornerstone technology for next‐generation chiral photonic applications. However, a fundamental trade‐off between the luminescence dissymmetry factor ( g lum ) and photoluminescence quantum yield (PLQY) has remaine...

DSLHash: Lightweight Hash Function Based on SVSC 4D Chaotic System and Dynamic Substitution Layers

Data integrity remains a critical requirement for secure communication in IoT environments. To address this challenge for resource-constrained IoT devices, lightweight cryptographic hash functions have been widely studied. However, static substitution layers in conventional hash...

An Interpretable MACD–SCDM Framework for Sepsis Risk Modeling from Longitudinal Laboratory Trajectories

Early identification of sepsis from electronic health records (EHRs) remains challenging because longitudinal laboratory measurements are irregularly sampled, incomplete, and dependent on the observation period. This study presents an interpretable temporal feature-engineering fr...

An Approach for Defect Detection in Friction Stir Welding Based on the Welding Force and Machine Learning

This study leverages multiple machine learning algorithms for defect detection in friction stir welding (FSW), utilizing force-derived features as model inputs. Furthermore, the underlying relationships between welding forces and defect formation were systematically investigated,...

Evolution and Manipulation of Interstitial Oxygen Configuration in Titanium—A Review

Oxygen has been regarded as a detrimental impurity in titanium alloys, as it triggers embrittlement and compromises ductility. Recent research advancements, however, have revolutionized this perception, revealing oxygen as a powerful microstructural architect capable of mediating...

Exercise-specific mechanical stimuli are associated with regional lumbar bone adaptation: a combined in vivo and in silico multi-scale study

Abstract Background Exercise is widely recommended to maintain lumbar bone mineral density (BMD), the tissue-level mechanical environment generated within the lumbar spine during different exercises remains difficult to assess in vivo. This study integrated individualized musculo...

Effect of Preparation Method on the Structure of NiCe Catalysts and CO 2 Methanation Performance

CO 2 methanation not only reduces CO 2 emissions but also enables the efficient utilization of carbon resources. The development of highly efficient and stable catalysts is crucial for the application of this reaction. CeO 2 supported Ni catalyst (NiCe) showed high potential for...

Impact of calorific value on thermal activation and desilication performance of high-alumina coal gangue

Coal gangue is a major industrial solid waste generated from coal mining and processing, and amorphous silica removal is the key to its high-value utilization. To optimize thermal activation-desilication process of coal gangue, this study investigated the effect of inherent calor...

Emerging nitrogen-driven urban atmosphere control on aerosol iron dissolution for biogeochemical cycles

Iron (Fe) is a critical micronutrient regulating marine productivity and the global carbon cycle, yet its atmospheric dissolution mechanisms remain debated for biogeochemical cycle. The prevailing “iron-sulfur coupling” paradigm has traditionally explained proton-promoted dissolu...

Lactylation-related immune-metabolic dysregulation defines prognostic and therapeutic stratification in lung adenocarcinoma

Background Lactylation links lactate metabolism with inflammatory signaling and immune regulation in tumors. However, its cellular distribution and translational value in lung adenocarcinoma (LUAD) remain unclear. Methods Single-cell RNA-sequencing datasets GSE189357 and GSE17114...

A hybrid adaptive large neighborhood search algorithm for two-echelon electric vehicle routing problem

The efficient management of urban logistics is important for smart production and service systems, requiring coordinated optimization and planning for sustainable and responsive operations. This study investigates a two-echelon electric vehicle routing problem with time windows (...

Plant Cell-on-Chip (PCOC): Exploring the Electrical Modulation Capability of Plant Cells

The intrinsic properties of plants offer numerous opportunities for scientific and technological advancement. Considerable efforts have been directed toward developing plant-on-chip platforms to investigate cellular responses to external stimuli, including chemical, mechanical, a...

Quantitative Perception of Street Space Based on Deep Learning and Future Morphology Prediction Using AIGC Technology

Abstract Street space facilitates public life within communities, and advancements in artificial intelligence technology bring innovative approaches to assessing and forecasting street space perceptions. This study is centered on the Tsim Sha Tsui area of Hong Kong, as an illustr...