Tianjin University

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,...

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...

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...

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 (...

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...

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...

Drosophila melanogaster Models for Natural Product Discovery: Cross-Disease Conserved Signaling Networks and a Generalizable Translational Pipeline

Drosophila melanogaster shares approximately 75% of human disease-related genes and possesses sophisticated genetic toolkits, including GAL4/UAS, CRISPR-Cas9, and RNA interference (RNAi), making it a rapid, cost-effective, and genetically tractable in vivo platform for natural pr...

Pricing on Carbon Transition Risks: Carbon Emission Trading and Stock Returns

ABSTRACT Relying on the phased rollout of the carbon emission trading (CET) pilot policy, we estimate a staggered difference‐in‐differences (DID) model to identify how transition risks induced by carbon pricing policies are priced in stock returns. Our results show that after CET...

Hydrogen bond mediated oxidation enables sustained oxygen evolution at industrial current densities

Stable and efficient non−precious electrocatalysts are crucial for the industrialization of anion exchange membrane water electrolysis as a green hydrogen production technology. Here, we show a synergistic dual-anion engineering combining Se doping and surface [B(OH)4]− modificat...

Building digital business ecosystem resilience through orchestration capability: The sequential roles of ecosystem knowledge integration and ecosystem service innovation

This study examines how digital business ecosystem orchestration capability enhances ecosystem resilience through sequential mediation by ecosystem knowledge integration and ecosystem service innovation, while accounting for the moderating effect of ecosystem dynamism. Data were...

TTLD: transformer-based threatening language detection in urdu social media text

Organizations now treat social media activity as a live indicator of public sentiment, useful for decisions that depend on knowing what is happening in real time. The same platforms, however, also carry threatening language at scale, and that has direct consequences for public sa...

Integrated analysis of surface water-groundwater interactions and enhanced hydrological forecasting of glacierized river in cold and arid regions

Abstract In cold and arid regions, climate change has altered precipitation patterns and accelerated glacierized retreat, which imposes severe risks on the stability of regional hydrological systems. Combined with the strong interactions between surface water (SW) and groundwater...

Multicenter Privacy‐Preserving Federated Models for Predicting Postoperative Delirium and Acute Kidney Injury in Older Patients

ABSTRACT Postoperative delirium (POD) and acute kidney injury (AKI) are serious complications in older patients undergoing surgery, yet predictive model development is often constrained by single‐center data limitations and privacy concerns that preclude centralized data sharing....

A Hierarchical Spatiotemporal Index for Bathymetric Data in Approach Channels

Approach channels are affected by sedimentation and scour, resulting in continuous changes in underwater topography. Such processes tend to generate shallow spots and inadequate navigable dimensions, posing safety hazards that undermine both waterway resilience and navigation cap...

A new platform for achieving long-term air-stable long persistent luminescence in amorphous organic system

Abstract Organic long persistent luminescence (OLPL) materials are at the forefront of research, undergoing rapid evolution due to their extensive potential applications. The realization of hour-level OLPL, particularly an air-stable one, remains a significant challenge. Here, we...

Prediction and Optimization of Freeform Impeller Machining Parameters Using a Hybrid Taguchi-Artificial Neural Network Model with the Levenberg–Marquardt Algorithm

Freeform machining of impellers involves extended cycle times, leading to high energy consumption and costs necessitating efficient process optimization. This study develops a CAD/CAM-integrated hybrid Taguchi-Artificial Neural Network (ANN) model to optimize machining parameters...