Wood residues can be transformed into sustainable porous carbon to be used in radar-absorbing technologies, and it is demonstrated here that reducing the activation...
New research tracking over 3,700 South Africans aged 40+ for seven years reveals loneliness significantly harms long-term health. The HAALSI study found loneliness...
This study presents a hybrid 3D nasal reconstruction approach using 2D facial images, combining photographic input with landmark detection, mesh deformation, and...
June 2025 — Tech Science Press (TSP) is pleased to announce that several of its SCI-indexed journals have demonstrated steady and significant growth in their impact indicators, as reported in...
Berlin (Germany) and Henderson (USA), 12 June 2025 – ResearchGate, the professional network for researchers, and Tech Science Press, a publisher of fully open access journals in science...
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...
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...
Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...
Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...
Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...
Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....
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...
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...
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...
Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...
Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...
Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...
Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....
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...
The unconsolidated soils of the Indo-Gangetic Plains (IGP) contribute significantly to the amplification of seismic damage during earthquakes. Site-specific effects play a critical role in intensifying ground motion and shaping the spatial distribution of seismic hazards. This study aims to investigate the spatial variability of seismic hazards using geophysical and geological parameters such as lithology, shear wave velocity, soil texture, basement depth, and proximity to fault lines. Training data were derived from common hazard points…
Flow boiling in open microchannels offers highly efficient heat transfer performance and has attracted increasing attention in the fields of heat transfer and thermal management of electronic devices in recent years. However, the continuous rise in power density of electronic components imposes more stringent requirements on the heat transfer capability of microchannel flow boiling. HFE-7100, a dielectric coolant with favorable thermophysical properties, has become a focal point of research for enhancing flow boiling performance in…
The article considers a relaxation of the water/polypropylene glycol-425 solution with a lower critical solution temperature (LCST) following its pulsed superheating concerning liquid-liquid and liquid-vapor equilibrium lines, as well as the liquid-liquid spinodal. Superheating was performed using the pulsed heat generation method in a micro-sized wire probe. The main heating mode was the constant (over the pulse length) power mode. Characteristic heating rates ranged from 0.05 × 105 to 2 × 105 K/s, while the degree…
The flow field architecture of the proton exchange membrane fuel cell (PEMFC) cathode critically determines its performance. To enhance PEMFC operation through structural optimization, trapezoidal obstacles were implemented in the cathode flow channels. The height dependence of these obstacles was systematically investigated, revealing that a 0.7 mm obstacle height enhanced mass transfer from channels to the gas diffusion layer (GDL) compared to conventional triple-serpentine designs. This configuration achieved a 12.08% increase in limiting current density
This paper investigates interfacial heat transfer characteristics in a multi-layer structure under ultra-high heat flux conditions, focusing on thermal contact resistance (TCR) between adjacent layers. A three-layer computational model with dual rough interfaces was developed to systematically analyze the synergistic effects of interfacial pressure, surface emissivity, and thermal interface materials (TIMs). Surface reconstruction using experimental measurement data generated two representative roughness models to quantify the impact of surface roughness on heat dissipation. Numerical simulations demonstrate
As the integration of electronic components in high-performance servers increases, heat generation significantly impacts performance and raises failure rates. Therefore, heat dissipation has become a critical concern in electronic circuit design. This study uses numerical simulations to investigate the heat dissipation characteristics of electronic components in air-cooled servers. By adjusting airflow speed, heat sink configurations, and the arrangement of straight-fin heat sinks, we optimize heat dissipation performance and analyze the mechanisms at different airflow speeds.…
To overcome the challenges associated with predicting gas extraction performance and mitigating the gradual decline in extraction volume, which adversely impacts gas utilization efficiency in mines, a gas extraction pure volume prediction model was developed using Support Vector Regression (SVR) and Random Forest (RF), with hyperparameters fine-tuned via the Genetic Algorithm (GA). Building upon this, an adaptive control model for gas extraction negative pressure was formulated to maximize the extracted gas volume within the pipeline…
The main purpose of this research is to optimize the hydrothermal performance of a dimpled tube by augmenting the surface area for heat transmission and thermal layer cracking. To achieve that, the impact of different dimple diameters and their distribution along the dimpled tube was investigated numerically using the ANSYS Fluent 2022 R1 software by considering two models, A and B. Both models consist of three regions; the first, second, and third have dimple diameters…
As a core power device in strategic industries such as new energy power generation and electric vehicles, the thermal reliability of IGBT modules directly determines the performance and lifetime of the whole system. A synergistic optimization structure of “inlet plate-channel spoiler columns” is proposed for the local hot spot problem during the operation of Insulated Gate Bipolar Transistor (IGBT), combined with the inherent defect of uneven flow distribution of the traditional U-type liquid cooling plate…
Climate change, rising fuel prices, and fuel security are some challenges that have emerged and have grown worldwide. Therefore, to overcome these obstacles, highly efficient thermodynamic devices and heat recovery systems must be introduced. According to reports, much industrial waste heat is lost as flue gas from boilers, heating plants, etc. The primary objective of this study is to investigate and compare unary (Al2O3) thermodynamically, binary with three different combinations of nanoparticles namely (Al2O3 + TiO2, TiO2…
Helium sorption cooler technology is a key means to realize highly reliable low-vibration very low-temperature environments, which have important applications in fields such as quantum computing and space exploration. The laboratory designed a superfluid suppression small hole and a multi-ribbed condenser, developed a reliable-performance helium sorption cooler (HSC), and conducted experimental studies. Experimental results show that the prototype can achieve the lowest cooling temperature of 873 mK without load by filling 6 MPa helium at…
Characteristics of heat transfer and flow of Newtonian and non-Newtonian fluids through porous walls and in porous media are studied due to their wide range of applications including geothermal reservoirs, heat exchangers, marine propulsion, and aerodynamics. The current study investigates the characteristics of heat transport in a reactive third-grade fluid, moving through permeable parallel plates, with uniform suction/injection velocity. The two permeable, parallel plates are maintained at the same, constant temperature. After being transformed into…
Power batteries serve as key components of new energy vehicles and are distinguished by their large capacity, long lifespan, high energy density, and stable operation. The strict temperature demands of power battery packs necessitate the development of highly efficient thermal management systems. In this study, a converging-diverging liquid cooling channel featuring a wave shaped structure was designed and analyzed for 18,650-type lithium-ion batteries. To investigate the design methodology for flow channel structure, a thermal model…
The comparison of experimental performance was studied for soda cans: longitudinal, transverse, diagonal, and smooth cases to improve the heat transfer rate and thermal performance of the solar air heater, in this study using a frame which has 1.5 m × 0.5 m × 0.05 m dimensions, the arrangements were placed on the absorber plate inside the channel, raising the air’s exit temperature as it passed by. The work was carried out for 4 cases…
This study explores free convective heat transfer in an electrically conducting nanofluid flow over a moving semi-infinite flat plate under the influence of an induced magnetic field and viscous dissipation. The velocity and magnetic field vectors are aligned at a distance from the plate. The Spectral Relaxation Method (SRM) is used to numerically solve the coupled nonlinear partial differential equations, analyzing the effects of the Eckert number on heat and mass transfer. Various nanofluids containing…
Viscoelastic nanofluid flow has drawn substantial interest due to its industrial uses, including research and testing of medical devices, lubrication and tribology, drug delivery systems, and environmental remediation. This work studies nanofluid flow over a viscoelastic boundary layer, focusing on mass and heat transmission. An analysis is performed on the flow traversing a porous sheet undergoing nonlinear stretching. It assesses the consequences of viscous dissipation and thermal radiation. The scientific nanofluid framework laid out by…
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