Heavy metals like cadmium, lead, and mercury in soil threaten crop growth and food safety. This review explores how modern technologies—genomics, transcriptomics,...
The image illustrates an intelligent driver monitoring framework for enhancing transportation safety. The system analyzes visual cues from the driver using deep...
Within a neuronal nucleus, contrasting DNA states symbolize the dual role of double-strand breaks in the brain. Transient, regulated breaks support activity-dependent...
Tech Science Press (TSP) is pleased to announce that five of its journals have been included in China’s 2025 list of the world’s leading science and technology journals. The five TSP journals...
The Canadian Journal of Urology (CJU) officially became a DOAJ (Directory of Open Access Journals)-indexed journal on 03 September 2026, marking another important milestone in the journal’s...
Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural...
The fusion of GNNs and SSMs is creating a new era in the realm of dynamical learning with structures. Graph-Mamba is one of the most promising works in...
Autonomous navigation poses a key challenge in Artificial Intelligence (AI), necessitating agents to plan and execute actions in complex, partially visible...
Large Language Models (LLMs) have rapidly evolved into general-purpose systems with broad applicability across information access, reasoning, decision...
Lattice-based post-quantum cryptographic standards such as Module-Lattice Key Encapsulation Mechanism (ML-KEM) and Module-Lattice-Based Digital Signature...
Increasing digitalization exposes critical infrastructure to sophisticated cyber threats, requiring new approaches to improving security and resilience....
Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced...
The design of steel and alloy materials is of critical importance across a wide range of industrial applications; however, effective intelligent agent-based...
Large Vision-Language Models (LVLMs) have achieved strong performance in multimodal perception, understanding, and generation, but their ability to perform...
The development of accurate digital twin models of the human cornea is a key factor for planning and monitoring eye treatments and clinical supervision....
Due to the complex and dynamic nature of multi-phase interfaces, accurately capturing interface evolution remains one of the key challenges in multi-phase...
Obesity and metabolic syndrome promote malignancies through chronic inflammation and sustained activation of insulin and insulin-like growth factor-1...
Non-coding RNAs (ncRNAs) and cholesterol metabolism have independently been recognized as critical regulators of cancer progression. NcRNAs modulate various...
Despite the advancements achieved in chemotherapy, cancer continues to remain a formidable and lethal global threat, ranking as the second leading cause...
Connected automated driving increasingly relies on cooperative perception from onboard sensors, roadside units (RSUs), smart traffic lights, and vehicle-to-everything...
The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental...
The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...
Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...
The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
Welcome to the Special Issue on "Modeling and Applications of Bubbles and Droplets in Engineering and Sciences". This fascinating field...
The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...
Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...
Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...
Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural...
The fusion of GNNs and SSMs is creating a new era in the realm of dynamical learning with structures. Graph-Mamba is one of the most promising works in...
Autonomous navigation poses a key challenge in Artificial Intelligence (AI), necessitating agents to plan and execute actions in complex, partially visible...
Large Language Models (LLMs) have rapidly evolved into general-purpose systems with broad applicability across information access, reasoning, decision...
Lattice-based post-quantum cryptographic standards such as Module-Lattice Key Encapsulation Mechanism (ML-KEM) and Module-Lattice-Based Digital Signature...
Increasing digitalization exposes critical infrastructure to sophisticated cyber threats, requiring new approaches to improving security and resilience....
Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced...
The design of steel and alloy materials is of critical importance across a wide range of industrial applications; however, effective intelligent agent-based...
Large Vision-Language Models (LVLMs) have achieved strong performance in multimodal perception, understanding, and generation, but their ability to perform...
The development of accurate digital twin models of the human cornea is a key factor for planning and monitoring eye treatments and clinical supervision....
Due to the complex and dynamic nature of multi-phase interfaces, accurately capturing interface evolution remains one of the key challenges in multi-phase...
Obesity and metabolic syndrome promote malignancies through chronic inflammation and sustained activation of insulin and insulin-like growth factor-1...
Non-coding RNAs (ncRNAs) and cholesterol metabolism have independently been recognized as critical regulators of cancer progression. NcRNAs modulate various...
Despite the advancements achieved in chemotherapy, cancer continues to remain a formidable and lethal global threat, ranking as the second leading cause...
Connected automated driving increasingly relies on cooperative perception from onboard sensors, roadside units (RSUs), smart traffic lights, and vehicle-to-everything...
The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental...
The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...
Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...
The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
Welcome to the Special Issue on "Modeling and Applications of Bubbles and Droplets in Engineering and Sciences". This fascinating field...
The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...
Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...
Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...
This study investigates how tip-clearance variation affects blade deformation, aerodynamic performance, near-tip flow structures, and irreversible energy loss in a transonic compressor. NASA Rotor 37 is used as the research model, and a two-way fluid–structure interaction framework coupled with entropy-generation analysis is developed to resolve the interplay between structural deformation and tip-leakage flow. At the respective peak-efficiency operating points, increasing the nominal tip clearance from 1.0δ to 3.0δ produces little change in the chordwise-averaged radial…
This study develops a sequential numerical modelling framework to elucidate the transient evolution of liquid hydrogen (LH2) leakage, pool evaporation, hydrogen dispersion, and post-ignition thermal hazards in a representative semi-open railway station. The framework couples a source-term integral model for LH2 pool evaporation with computational fluid dynamics (CFD), in which the time-dependent liquid-pool radius and evaporation mass flow rate are introduced as transient inlet conditions through a user-defined function. The Realizable k-ε turbulence model and species transport…
The influence of nozzle orifice number on the jet dynamics and rock-breaking performance of multi-orifice abrasive water jets (MOAWJ) is systematically examined for precision drilling in pumped storage power station construction. A VOF-DPM (Volume of Fluid–Discrete Phase Model) two-way coupling framework is first employed to characterize the flow-field structure, velocity distribution, and spatial evolution of abrasive particles for different orifice configurations. The resulting jet characteristics are then used as initial conditions in an SPH-FEM (Smoothed…
This study develops and systematically evaluates a hierarchical tree-shaped finned-tube heat exchanger designed to enhance hydrogen absorption in porous metal-hydride (MH) storage reactors. The proposed architecture combines geometrically nested primary, secondary, and tertiary tubes with branched fins to redistribute cooling capacity from the reactor core towards peripheral regions where localized reaction dead zones develop. A validated two-dimensional transient model, incorporating Darcy-law porous-media flow, heat transfer between the MH bed and the aluminium heat-exchanger structure, and LaNi5…
The effects of heave amplitude and oscillation period on the hydrodynamic performance of a three-dimensional NACA0012 hydrofoil operating beneath a free surface are systematically investigated using an unsteady Reynolds-averaged Navier–Stokes (RANS) framework coupled with the Volume of Fluid (VOF) method. The shear stress transport (SST) turbulence model and an overset mesh technique are employed to resolve the turbulent flow and large-amplitude hydrofoil motion, while grid and time-step convergence studies are performed to establish numerical reliability.…
This study develops a unified, material-specific semi-empirical framework to describe both low-velocity corrosion mitigation and high-velocity erosion-corrosion enhancement in CO2-containing environments. L360, 20# and X65 steels were investigated using static weight-loss and electrochemical tests, together with dynamic erosion-corrosion experiments and SEM/EDS characterization. Static tests were conducted at total pressures of 3–7 MPa, CO2 partial pressures of 4–60 kPa, and temperatures of 10–60°C, while dynamic tests were performed at 3.5 MPa total pressure, 40 kPa CO2 partial pressure,…
This study investigates the oil-groove configuration of composite friction pairs in hydro-viscous clutches (HVCs), with particular emphasis on the effects of gas content and pressure within the oil film on torque transmission under high-slip conditions. A novel C-type composite groove is proposed to improve oil-film distribution and pressure within the friction interface. A three-dimensional gas–liquid two-phase CFD model is developed to account for the effects of radial groove geometry under prescribed flow-rate and slip conditions.…
This study develops a numerical framework to elucidate how staged perforated plates regulate flow and suppress cavitation in a multi-stage sleeve-type pressure-reducing valve (MSPRV) for nuclear feedwater systems under high-pressure-drop conditions. Steady Reynolds-averaged Navier–Stokes (RANS) simulations, coupled with the standard k–ω turbulence model and the Zwart–Gerber–Belamri cavitation model, were conducted at an inlet pressure of 2 MPa. The effects of outlet back pressure, perforated-plate hole radius, and inter-plate spacing were systematically examined through comparisons of a…
This study develops a multi-mechanism numerical simulation framework for shale gas reservoirs to quantify the coupled effects of gas transport mechanisms, stress sensitivity, and inter-well interference during infill horizontal well development. The model is formulated within the Embedded Discrete Fracture Model (EDFM) and incorporates gas adsorption/desorption, diffusion, and matrix stress sensitivity, with the governing equations discretized and solved using the finite volume method. Sensitivity analyses show that stress sensitivity is a dominant control on productivity,…
This study investigates the influence of the cavitation coefficient on the internal flow field and pressure fluctuation characteristics of a pump-turbine using numerical simulations validated against experimental measurements. The validated model is then used to analyze hydraulic performance and cavitation-induced flow behavior over a range of cavitation conditions. The results show that cavitation first develops on the suction side of the runner blades near the outlet and progressively reduces hydraulic efficiency as it intensifies. The…
This paper develops a Fractal-Constrained Physics-Informed Neural Network (FC-PINN) framework to reinterpret mercury intrusion porosimetry (MIP) data from a fluid-mechanics perspective and to infer multiphase flow parameters and predict permeability in compacted expansive clay. The approach exploits the physical equivalence between mercury intrusion and water–air displacement in unsaturated soils, both of which are governed by the Laplace–Washburn relationship, while incorporating the steady-state Richards equation into the neural-network loss function as a physical constraint. Compacted expansive…
Hypersonic vehicles are subjected to extreme aerodynamic heating, making active cooling technologies a critical component of their thermal protection systems. This paper presents a comprehensive review of the fundamental principles, operating mechanisms, recent research developments, and key technical challenges associated with three major active cooling approaches: regenerative cooling, gas film cooling, and transpiration cooling. The review establishes a comparative framework to support the selection of cooling strategies according to specific mission requirements, while identifying current…
Recycled aggregate concrete (RAC) enables construction waste reuse, but surface micro-cracks on recycled aggregates (RA) and multiple ITZs from old adhered mortar create extra sulfate transport paths, undermining RAC’s sulfate resistance. Current studies largely examine single modification methods’ effects on durability, yet lack sufficient predictive power for how such modifications influence final material properties. This study evaluated nine concrete mixtures comprising 297 cube specimens and employed sulfate wet-dry cycling experiments combined with XRD and SEM…
Brain tumor localization in magnetic resonance imaging remains challenging for small, low-contrast lesions. This study presents Small Brain Lesion Deep Q Network (SBL-DQN), a two-dimensional lesion-wise reinforcement-learning framework that refines an axis-aligned region of interest on a co-registered axial multi-channel MRI slice. In the current evaluation protocol, voxel reference masks are resampled, processed by 26-connected-component analysis, and filtered using a maximum in-plane diameter of 10 mm; one axial episode is then executed for each reference-enumerated…
Current 3D Human Pose and Shape estimation methods predominantly focus on numerical coordinate regression, treating pose analysis as a geometric mapping task rather than a structured reasoning problem. This reliance on quantitative output creates an interpretability gap, as these models fail to provide high-level, qualitative justifications for their predictions, such as why a specific pose is physically unstable or biomechanically incorrect. To bridge this gap, we propose a novel framework that leverages neuro-symbolic reasoning for…
This paper provides a thorough, systematic review of explainable, context-sensitive Artificial Intelligence (AI) and Digital Twin (DT) technologies in healthcare, emphasizing their potential to transform the medical system into an intelligent, patient-centred system of care. The PRISMA framework helped identify 1842 records from the largest scientific databases, of which 97 high-quality studies were selected for a comprehensive analysis. The review analyses in detail the development of AI from traditional machine learning to modern deep learning…
Guest Editors: Van-Tu Nguyen; Ould el Moctar; Anh Dinh Le; Hemant J. Sagar Deadline: 30 September 2027
Guest Editors: Jin-Gyun Kim; Hee-Sun Choi; Seongji Han Deadline: 30 September 2027
Guest Editors: Hung-Yu Lin; Hsing-Ju Wu Deadline: 31 May 2027
Guest Editors: Carlos Vargas-Salgado; Dácil Diaz-Bello Deadline: 30 April 2027
Guest Editors: Leonardo Di G. Sigalotti; Carlos A. Vargas; Carlos E. Alvarado-Rodríguez Deadline: 30 April 2027
Guest Editors: Sabrina Tosi; Annabelle Lewis Deadline: 30 April 2027
Guest Editors: Wenlong Sun; Mengyao Li Deadline: 31 March 2027
Guest Editors: Wenbing Zhao; Pan Wang Deadline: 31 March 2027
Guest Editors: Wenfeng Zheng; Choon Kit Chan; Kyungtae Kang; Chao Liu Deadline: 31 March 2027
Guest Editors: Joanna Zawitkowska; Małgorzata Mitura-Lesiuk; Maciej Dubaj Deadline: 28 February 2027
Guest Editors: Wenfeng Zheng; Lirong Yin; Shan Liu Deadline: 15 February 2027
Guest Editors: Wei-Chiang Hong; Yi Liang; Ming-Wei Li; Zhong-Yi Yang Deadline: 15 February 2027
Guest Editors: Jungpil Shin; Yong Seok Hwang Deadline: 31 January 2027
Guest Editors: Denise Mafra; Jessyca Sousa de Brito Deadline: 31 January 2027
Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026
Guest Editors: Hung-Yu Lin Deadline: 31 December 2026






