Quanzhou Normal University

Thermal management strategy for improving DPF active regeneration performance via multi-objective optimization based on a random forest surrogate model

Active regeneration of diesel particulate filters (DPFs) is essential for particulate emission control but involves competing effects among soot oxidation, heat removal, flow resistance, and thermal safety. A one dimensional transient Corning EX 80 DPF model was validated with a...

In Situ Supramolecular Depolymerization Enables Bifunctional Buried‐Interface Passivation in Inverted Perovskite Solar Cells

ABSTRACT Introducing multidentate organic passivators has emerged as an effective strategy for defect passivation at the buried interface of inverted perovskite solar cells (PSCs). However, the active polar functional groups within these passivators are prone to supramolecular po...

Neooleiphilus portus gen. nov., sp. nov. and Paroleiphilus aggregans gen. nov., sp. nov., Two Novel Nitrate-Reducing Bacteria Isolated from Estuarine Sediments

Two novel bacteria, designated strain G1-8T and J1-3T, were isolated from estuarine sediment samples collected from Jinjiang Estuary, Fujian Province, China, using the dilution-to-extinction method. Cells of strain G1-8T were Gram-stain-negative, aerobic, rod-shaped with a single...

Multiple classification of childhood and juvenile autism spectrum disorder from ABIDE-II sMRI using BN-GO-CNN

Abstract Objectives Autism spectrum disorder (ASD) shows heterogeneous neurodevelopmental patterns across childhood, juvenile development, and adulthood, so binary MRI classification may not fully capture age-and sex-related variation. This study proposes a proof-of-concept frame...

Holistic foreground–background guided feature learning for few-shot strip steel defect segmentation

Strip steel surface defect (S 3 D) segmentation has become an indispensable technique for surface inspection in strip steel production lines. However, the imbalance between the foreground and background, as well as the complex defect appearances, have become the main challenges i...

Learned feature ordering for exact optimal decision tree search: a lightweight neural scoring approach

Exact optimal decision tree solvers provide transparent models but face combinatorial search growth, making the order in which candidate features are explored consequential whenever a sound early-stopping bound is reached. Existing solvers largely rely on handcrafted orderings, w...

Building-Scale GeoAI for Short-Horizon Urban Inundation Prediction Under Sparse Labels and Distribution Shift: A Multi-Event Evaluation of Predictive Capability Boundaries in Taipei

Urban inundation forecasting in high-density cities is complicated by sparse incident labels, nonstationary rainfall, and changing sensing systems. Using Taipei as a case study, we develop a building-scale GeoAI decision-support prototype that integrates 30,421 Level of Detail 1...

Spatiotemporal dynamics and future projections of carbon sink in the Dongting Lake wetland (2000–2060): a multi-scenario simulation incorporating hydrological variability based on the PLUS–CASA–GSMSR model

Wetlands are important global carbon sinks that help mitigate atmospheric CO₂ concentrations. However, climate change and human activities introduce uncertainty into wetland carbon evaluation and future management. Despite the significant influence of hydrological fluctuations on...

Numerical investigation of thermal performance in a cross-flow indirect evaporative cooling system for arid and high-temperature environments

In arid, high-temperature environments, traditional cooling systems often struggle due to high energy demand and inefficiency. As a result, indirect evaporative cooling (IEC) emerges as a viable and sustainable cooling technology, particularly in areas where energy efficiency and...

A review of recent progress on Ni-based cocatalysts for photoelectrochemical water splitting

Photoelectrochemical (PEC) water splitting represents a highly promising pathway for converting solar energy into clean hydrogen fuel. However, its practical application is hindered by challenges such as sluggish surface reaction kinetics, rapid charge carrier recombination, and...

Mental disorders as a predictor of incident edentulism: a prospective cohort study

Edentulism represents the terminal stage of cumulative oral disease and is a key indicator of oral health deterioration in aging populations. Although individuals with mental disorders are recognized as a high-risk group for poor oral health, longitudinal evidence linking mental...

Recent Results on Nonlinear Retarded Integral Inequalities with Applications

This article establishes new retarded nonlinear integral inequalities that extend and generalize several known results in the literature, including recently reported estimates. These inequalities are used to derive explicit bounds for the unknown functions. These bounds are shown...

MutFormer: a multimodal deep learning framework for predicting somatic mutation hotspots from sequence and chromatin features

Somatic mutations are unevenly distributed across the genome, with certain loci recurrently mutated across independent tumors. Both local DNA sequence context and chromatin organization have been associated with mutation rate variation, yet their combined effects at single-nucleo...

Role-based multi-robot warehouse coordination with reinforcement learning assisted task selection

We study decentralised coordination in large-scale RMFS, where capacity-limited fleets fulfil orders under stochastic demand, congestion, and real-time constraints. We formalise this problem as a role-structured decentralised partially observable Semi-Markov decision process that...

Lithium-ion battery SOH estimation based on degradation physics constraints and cross-attention Transformer-GRU

Accurate estimation of lithium-ion battery state of health (SOH) is essential for battery management systems in safety warning, lifetime management, and energy scheduling. To address the difficulty of simultaneously capturing global feature coupling and local degradation memory w...

Sewn textile strain sensors: impact of contact-regulating stitch parameters on strain sensing performance

Sewn textile strain sensors (STSSs) provide a scalable and textile-integrated approach for wearable motion monitoring. In this work, STSSs were fabricated on a rib knitted fabric using silver-plated nylon thread (SPNT) by lockstitch sewing. The stitch distance and sewing layer nu...

Solvent‐Free Synthesis of Flame‐Retardant Polyurethane Hot Melt Adhesive via Diels‐Alder Reaction

ABSTRACT To address the core dilemma prevailing in the modification technologies of conventional polyurethane hot‐melt adhesives (PU HMAs), in which flame retardancy, bonding performance and environmental friendliness cannot be achieved simultaneously, a green solvent‐free strate...

Parameterized exact fair decision tree learning with small sensitive group regimes

Fairness-constrained tree learning is highly desirable for high-accountability settings; however, exact combinatorial optimization is often considered computationally impractical when fairness constraints are strictly enforced. While most existing fair classification methods rely...