Conservative antithrombotic therapy (no stenting) has been proposed for patients with plaque erosion. However, two challenging questions remain: 1) Which patient...
Agriculture is transforming due to climate uncertainty and population growth. Modern techniques like CRISPR-Cas9, marker-assisted selection, and genomic analysis...
A study in Serbia's Autonomous Province of Vojvodina reveals a high prevalence of depressive symptoms among adolescents aged 15–18. Screening 986 high school...
We are delighted to announce that one of Tech Science Press journals, Oncologie, has been officially indexed in the Directory of Open Access Journals (DOAJ). Oncologie, an international...
We are pleased to announce that six more journals published by Tech Science Press have been officially selected for inclusion in the Chemical Abstracts Service (CAS) databases. The newly added...
Recent advances in wearable devices have enabled large-scale collection of sensor data across healthcare, sports, and other domains but this has also...
Data curation is vital for selecting effective demonstration examples in graph-to-text generation. However, evaluating the quality of Knowledge Graphs...
AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization. Platforms...
Legged robots have always been a focal point of research for scholars domestically and internationally. Compared to other types of robots, quadruped robots...
Response analysis of structures involving non-probabilistic uncertain parameters can be closely related to optimization. This paper provides a review...
The evaporation of micrometer and millimeter liquid drops, involving a liquid-to-vapor phase transition accompanied by mass and energy transfer through...
Resource allocation remains a challenging issue in communication networks, and its complexity is continuously increasing with the densification of the...
Finding materials with specific properties is a hot topic in materials science. Traditional materials design relies on empirical and trial-and-error methods,...
Accurate medical diagnosis, which involves identifying diseases based on patient symptoms, is often hindered by uncertainties in data interpretation and...
Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation...
Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...
Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...
The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...
As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...
Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...
The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...
With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...
Extracellular vesicles (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...
The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...
In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...
More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...
Recent advances in wearable devices have enabled large-scale collection of sensor data across healthcare, sports, and other domains but this has also...
Data curation is vital for selecting effective demonstration examples in graph-to-text generation. However, evaluating the quality of Knowledge Graphs...
AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization. Platforms...
Legged robots have always been a focal point of research for scholars domestically and internationally. Compared to other types of robots, quadruped robots...
Response analysis of structures involving non-probabilistic uncertain parameters can be closely related to optimization. This paper provides a review...
The evaporation of micrometer and millimeter liquid drops, involving a liquid-to-vapor phase transition accompanied by mass and energy transfer through...
Resource allocation remains a challenging issue in communication networks, and its complexity is continuously increasing with the densification of the...
Finding materials with specific properties is a hot topic in materials science. Traditional materials design relies on empirical and trial-and-error methods,...
Accurate medical diagnosis, which involves identifying diseases based on patient symptoms, is often hindered by uncertainties in data interpretation and...
Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation...
Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...
Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...
The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...
As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...
Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...
The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...
With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...
Extracellular vesicles (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...
The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...
In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...
More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...
To address the limitations of traditional finite element methods, particularly the continuum assumption and difficulties in tracking the solid-liquid interface, this study introduces a lattice Boltzmann-based mathematical and physical model to simulate flow and heat transfer in the laser welding molten pool of tin-coated copper used in solar panel busbars (a thin strip or wire of conductive metal embedded on the surface of a solar cell to collect and conduct the electricity generated by the…
Grouting is a widely applied technique for reinforcing fractured zones in deep soft rock tunnels. By infiltrating rock fissures, slurry materials enhance structural integrity and improve the overall stability of the surrounding rock. The performance of grouting is primarily governed by the flow behavior and diffusion extent of the slurry. This review considers recent advances in the theory and methodology of slurry flow and diffusion in fractured rock. It examines commonly used grout materials, including…
Carbon dioxide (CO2) is often monitored as a convenient yardstick for indoor air safety, yet its ability to stand in for pathogen-laden aerosols has never been settled. To probe the question, we reproduced an open-plan office at full scale (7.2 m 5.2 m 2.8 m) and introduced a breathing plume that carried 4% CO2, together with a polydisperse aerosol spanning 0.5–10 m (1320 particles s−1). Inlet air was supplied at 0.7, 1.4, and 2.1 m s−1, and…
The rotary gas-gas heat exchanger (GGH) is a vital component in waste heat recovery systems, particularly for Selective Catalytic Reduction (SCR) processes employed in cement kiln operations. This study investigates the thermal performance of a rotary GGH in medium- and low-temperature denitrification systems, using a simplified porous medium model based on its actual internal structure. A porous medium representation is developed from the structural characteristics of the most efficient heat transfer element, and a local…
This study employs the Smoothed Particle Hydrodynamics (SPH) method to develop a computational fluid dynamics (CFD) model for analyzing the interaction between rogue waves and mooring systems. Four floating body configurations are investigated: (1) dual rectangular prisms, (2) rectangular prism–sphere composites, (3) sphere–rectangular prism composites, and (4) dual spheres. These configurations are systematically evaluated under varying mooring conditions to assess their hydrodynamic performance and wave attenuation capabilities. The model accurately captures the complex fluid–structure interaction…
Atrium spaces, common in modern construction, provide significant fire safety challenges due to their large vertical openings, which facilitate rapid smoke spread and reduce sprinkler effectiveness. Traditional smoke management systems primarily rely on make-up air to replace the air expelled through vents. Inadequate calibration, particularly with air velocity, can worsen fire conditions by enhancing oxygen supply, increasing soot production, and reducing visibility, so endangering safe evacuation. This study investigates the impact of make-up air velocity…
Deep shale reservoirs are often associated with extreme geological conditions, including high temperatures, substantial horizontal stress differences, elevated closure stresses, and high breakdown pressures. These factors pose significant challenges to conventional hydraulic fracturing with water-based fluids, which may induce formation damage and fail to generate complex fracture networks. Supercritical carbon dioxide (SC-CO2), with its low viscosity, high diffusivity, low surface tension, and minimal water sensitivity, has attracted growing attention as an alternative fracturing fluid for deep…
Shale gas production involves complex gas-water two-phase flow, with flow patterns in proppant-filled fractures playing a critical role in determining production efficiency. In this study, 3D geometric models of 40/70 mesh ceramic particles and quartz sand proppant clusters were elaborated using computed tomography (CT) scanning. These models were used to develop a numerical simulation framework based on the lattice Boltzmann method (LBM), enabling the investigation of gas-water flow behavior within proppant-filled fractures under varying driving…
Drilling operations in carbonate rock heavy oil blocks (e.g., in the Tahe Oilfield) are challenged by the intrusion of high-viscosity, temperature-sensitive formation heavy oil into the drilling fluid. This phenomenon often results in wellbore blockage, reduced penetration rates, and compromised well control, thereby significantly limiting drilling efficiency and operational safety. To address this issue, this study conducts a comprehensive investigation into the mechanisms governing heavy oil invasion using a combination of laboratory experiments and field…
The conventional Shear Stress Transport (SST) k–ω turbulence model often exhibits substantial inaccuracies when applied to the prediction of flow behavior in complex regions within axial flow control valves. To enhance its predictive fidelity for internal flow fields, this study introduces a novel calibration framework that integrates an artificial neural network (ANN) surrogate model with a particle swarm optimization (PSO) algorithm. In particular, an optimal Latin hypercube sampling strategy was employed to generate representative sample points…
This study presents a comprehensive mechanical analysis of P110S oil tubing subjected to thermal and chemical coupling effects, with particular attention to the presence of rectangular corrosion defects. Drawing on the material’s stress–strain constitutive behavior, thermal expansion coefficient, thermal conductivity, and electrochemical test data, the research incorporates geometric nonlinearities arising from large deformations induced by corrosion. A detailed three-dimensional finite element (FE) model of the corroded P110S tubing is developed to simulate its response under…
This study explores the aerodynamic performance and flow field characteristics of supercritical carbon dioxide (sCO2) centrifugal compressors under varying operating conditions. In particular, the Sandia main compressor impeller model is used as a reference system. Through three-dimensional numerical simulations, we examine the Mach number distribution, temperature field, blade pressure pulsation spectra, and velocity field evolution, and identify accordingly the operating boundaries ensuring stability and the mechanisms responsible for performance degradation. Findings indicate a stable operating range…
In liquid rocket engines, regenerative cooling technology is essential for preserving structural integrity under extreme thermal loads. However, non-uniform coolant flow distribution within the cooling channels often leads to localized overheating, posing serious risks to engine reliability and operational lifespan. This study employs a three-dimensional fluid–thermal coupled numerical model to systematically investigate the influence of geometric parameters—specifically the number of inlets, the number of channels, and inlet manifold configurations—on flow uniformity and thermal distribution in…
Road Traffic Accidents (RTAs) pose significant threats to public safety and urban infrastructure. While numerous studies have addressed this issue in other countries, there remains a notable gap in localized RTA research in Sri Lanka. In this context, the present study investigates the spatial and temporal patterns of RTAs in the Matara urban area in 2023, with the goal of supporting evidence-based policy interventions. A suite of GIS-based spatial analysis techniques including hotspot analysis, kernel…
This study seeks to establish a novel, semi-automatic system that utilizes Industry 4.0 principles to effectively determine both acceptable and rejectable concrete cubes with regard to their failure modes, significantly contributing to the dependability of concrete quality evaluations. The study utilizes image processing and machine learning (ML) methods, namely object detection models such as YOLOv8 and Convolutional Neural Networks (CNNs), to evaluate images of concrete cubes. These models are trained and validated on an extensive…
Guest Editors: Viktor Gribniak; Zdeněk Kala; Constantin E. Chalioris Deadline: 31 March 2026
Guest Editors: Kang-Di Lu; Yun Fu; Yong Xu Deadline: 30 March 2026
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Guest Editors: Chih-Lung Lin Deadline: 31 December 2025
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Guest Editors: Hwa-Young Jeong; Jason C. Hung; Yen Neil Yuwen Deadline: 30 November 2025
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