North China University of Water Resources and Electric Power

A review of comparative studies on injection strategies of spark ignition internal combustion engines with ammonia-hydrogen blends

Ammonia-hydrogen fuels are promising for low-carbon spark-ignition (SI) engines, but their performance strongly depends on fuel-delivery and combustion-control strategy. This review compares port fuel injection (PFI), direct injection (DI), PFI + DI, ammonia-hydrogen dual direct...

Experimental investigation of pressure pulsation during direct contact condensation of steam with noncondensable gas in a square minichannel

Pressure pulsation is a characteristic dynamic response of steam direct contact condensation (DCC) in confined channels and is strongly influenced by noncondensable gas and inlet operating conditions. Steam-air DCC in a square minichannel was investigated experimentally using sel...

Study on the Evolution and Driving Factors of Shallow Groundwater Depth in Zhengzhou City

Groundwater is one of the main water supplies for Zhengzhou City. Changes in groundwater depth negatively affect the water supply and geological stability of the city. Based on groundwater monitoring data from 1999 to 2024, this paper investigates the spatiotemporal changes in sh...

Unified energy-flow framework for crack-induced modulation and multi-frequency damage identification in beams and plates

Cracks fundamentally alter the pathways and intensity of vibration energy transfer within load-bearing structures, making accurate modeling of their modulation effects essential for structural health monitoring and dynamic energy analysis. This study develops a unified energy-flo...

Insight into fouling mechanisms on inclined tube banks in molten salt heat exchangers for coal-fired boiler

Coupling coal-fired boilers with molten salt thermal energy storage is a critical technical pathway for flexible peak shaving of thermal power units. As the core component, the flue gas-molten salt heat exchanger (MSHE) requires inclined tube bank arrangements to achieve gravity-...

Evaluating Greenhouse Tomato Responses to High Temperature Using AquaCrop-OSPy with Sequential Sensitivity Analysis and GLUE Calibration

How to precisely depict the effects of high temperature on greenhouse crop growth and yield formation and derive optimal irrigation schedules remains an emerging challenge for current crop models. To address this issue, our study focused on drip-irrigated tomato plants grown in a...

DNN Surrogate-Assisted Multi-Objective Optimization for Inverse Process Design of SBS-Modified Asphalt Gels

Styrene–butadiene–styrene (SBS)-modified asphalt is a typical physical polymer gel whose macroscopic performance is governed by the coupled effects of processing parameters, material composition, and microstructural characteristics. While machine learning has enabled accurate for...

High-Conductivity and Moisture-Tolerant Sulfide Electrolyte Enabled by Bifunctional Coating for Practical All-Solid-State Lithium Batteries

Abstract The pursuit of safer and higher-energy-density batteries has driven the advancement of all-solid-state lithium batteries (ASSLBs). Among various material systems, sulfide solid-state electrolytes (SEs) stand out as highly promising candidates owing to their exceptional i...

Reimagining sustainable education in Africa through decolonial pathways and indigenous knowledge systems

Despite the growing recognition of Indigenous Knowledge Systems (IKS) as vital for the sustainability of education in Africa, the majority of education systems across the continent still embody colonial epistemologies that marginalise local knowledge traditions. Existing literatu...

Seismic performance of prefabricated Elematic hollow-core slab load-bearing walls with post-cast core-column connections

The prefabricated wall system assembled from Elematic hollow-core slab (EHC) components provides a potential structural solution for rapid construction of low-rise buildings (LRB). However, when EHC components are used as vertical load-bearing wall units, their seismic performanc...

Understanding students’ willingness to engage in international academic exchanges through self-determination theory: Evidence from SEM, NCA, and fsQCA

International academic participation has become increasingly important in higher education, yet limited attention has been paid to how contextual, competence-related, and psychological resources jointly shape students’ willingness to engage in international academic exchanges. Gu...

MemCLR-GANomaly: An Unsupervised Anomaly Detection Approach for Resin Cut-Off Wheel Surfaces

Unsupervised anomaly detection is critical for industrial surface inspection, especially for resin cut-off wheels where defect samples are scarce and morphologically diverse. GANomaly serves as a classic reconstruction-based baseline using latent vector discrepancy, yet its singl...

Driving Green Performance: How Organizational Readiness Leverages Green Technology Innovation and Absorptive Capacity

Recognizing the crucial role that manufacturing firms play in advancing sustainable development and reducing environmental impacts, this study investigates a moderated mediating model to assess how organizational readiness (OR) and green technological innovation (GTI) influence g...

Theoretical study and experimental verification of equivalent structural stiffness damage simulation using local added mass

This study clarifies the theoretical basis and applicability of using local added mass to simulate structural stiffness reduction. Starting from the characteristic equation of undamped free vibration, the contribution of local stiffness and mass modifications to the global eigenv...

Factors affecting ChatGPT adoption among Bangladeshi university students with the moderating role of social influence

The integration of artificial intelligence (AI) into classrooms has revolutionized academic learning, presenting both opportunities and obstacles for learners’ advancement. The study aims to explore the factors of Extended technology acceptance model (TAM) by adding external vari...

Synergistic Ni−Fe Nanoalloy Catalysis for CO2-Assisted Tar Reforming: Towards Sustainable Syngas Production via Toluene as a Model Compound

Abstract Efficient conversion of biomass tar, together with effective fixation and valorization of carbon dioxide (CO2), remains a major challenge in renewable energy. Addressing this challenge requires a fundamental understanding of the atomic-scale mechanisms governing CO2-assi...

Estimating Ground-Level PM2.5 over Beijing–Tianjin–Hebei from DQ-1 Wide-Swath Imager Signals and ERA5 Meteorology Using Physics-Guided Feature Engineering

The DaQi-1 (DQ-1) Wide-Swath Imager (WSI) combines an approximately 2300 km swath with 15 visible-to-shortwave-infrared channels at 75–600 m resolution, providing broad regional coverage and flexible spectral support. We developed an ExtraTrees estimator from WSI signals and ERA5...

Reliability-Aware Dual-Stream Self-Training for Semi-Supervised Semantic Segmentation of High-Resolution Remote Sensing Imagery

Semantic segmentation of high-resolution remote sensing imagery remains constrained by the high cost of pixel-level annotation. Semi-supervised learning can reduce this dependence by exploiting unlabeled images, but improving pseudo-label reliability often comes at the cost of re...

Numerical investigation of multiple encapsulated plate-type phase change material thermal energy storage systems with S-shaped and parallel flow channels

Phase change thermal energy storage systems have attracted considerable attention because of their high energy storage density and excellent thermal stability, making them promising for industrial waste heat recovery and renewable energy utilization. In this study, a three-dimens...

Research on automatic segmentation method of microseismic monitoring signal under low signal-to-noise ratio conditions

To address the issues of reduced microseismic signal detection accuracy and difficulty in identifying event boundaries under low signal-to-noise ratio conditions, we propose SEU-Net, an automatic microseismic signal segmentation model that integrates a Squeeze-and-Excitation (SE)...