This article proposes a novel distribution-aware cross-modal distillation framework to address the distillation instability in camera-based 3D object detection...
Nuclear reactor safety assessment relies on the ability to predict the structural response of critical components under extreme conditions. One such component is...
Biobased biodegradable plastics are emerging as eco-friendly alternatives to traditional petroleum-based packaging, offering renewability, biodegradability, and...
Tech Science Press (TSP) is pleased to announce that several of its journals have achieved notable improvements in the 2026 XinRui Journal Rankings.· ONCOLOGY RESEARCH: Ranked...
Tech Science Press is pleased to announce that two additional journals have been selected for inclusion in CAB Abstracts, a leading database produced by CAB International (CABI). This milestone...
Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...
To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...
Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...
The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...
The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...
Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...
Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...
This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...
This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...
3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...
This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...
The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...
In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...
Generative Artificial Intelligence (AI) is reshaping digital marketing by creating automated content, personalizing campaigns, and offering new ways to...
Purpose of this novel review article is to unfold the current scientific worth of high performance polymer nanocomposite nanofibers, owing to growing...
A comparative analysis was performed on poly(lactic acid) (PLA), poly(caprolactone) (PCL), basalt fiber (BF) composites produced using two distinct approaches:...
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...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
This special issue, “Applied Artificial Intelligence: Advanced Solutions for Engineering Real-World Challenges,” showcases the transformative power of...
Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...
To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...
Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...
The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...
The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...
Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...
Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...
This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...
This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...
3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...
This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...
The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...
In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...
Generative Artificial Intelligence (AI) is reshaping digital marketing by creating automated content, personalizing campaigns, and offering new ways to...
Purpose of this novel review article is to unfold the current scientific worth of high performance polymer nanocomposite nanofibers, owing to growing...
A comparative analysis was performed on poly(lactic acid) (PLA), poly(caprolactone) (PCL), basalt fiber (BF) composites produced using two distinct approaches:...
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...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
This special issue, “Applied Artificial Intelligence: Advanced Solutions for Engineering Real-World Challenges,” showcases the transformative power of...
Traditional parallel straight microchannels are limited by low heat flux density and non-uniform flow distribution. From a system optimization perspective, incorporating surface grooves provides an effective means to enhance solid-liquid interaction and improve overall performance. Using water as the working fluid, this study numerically investigates the coupled effects of inlet flow rate, groove number, and groove spacing on the thermo-hydraulic behavior of groove-type microchannel heat sinks. The results reveal a fundamental trade-off between heat transfer…
Perforated partition walls are widely employed in complex underground transportation systems to mitigate tunnel pressure waves, harness train-induced piston wind for reduced ventilation energy consumption, and support emergency operations. Building on orifice flow theory, this study develops a one-dimensional flow model for tunnels equipped with perforated partition walls. The model is applied to examine the aerodynamic performance of such walls in extra-long tunnels through a comprehensive parametric analysis, considering the presence of openings, opening ratio,…
As coal extraction advances to greater depths, a refined understanding of the coupled evolution of involved physical effects and mechanisms in gas-bearing coal under excavation-induced disturbances becomes indispensable. In this context, “chain evolution” characterizes the progressive and interdependent interplay among stress redistribution, damage propagation, and seepage adjustment. Building upon a seepage–stress–damage coupling model for gas-bearing coal, and supported by triaxial compression tests for validation, this study explores multifield evolution during roadway excavation across lateral pressure…
Boiling heat transfer remains a cornerstone of efficient thermal management, with far-reaching implications for energy systems and industrial processes. Advances in this field not only deepen fundamental scientific understanding but also enable transformative improvements in energy efficiency, equipment performance, and operational safety. Contemporary research in this area focuses on accurate parameter prediction, intelligent image analysis, and quantitative characterization of bubble dynamics, collectively advancing both mechanistic insight and engineering optimization. In this context, artificial intelligence (AI),…
To address the thermal management challenges associated with localized high heat flux in electronic chips, this study proposes a bionic spider-web microchannel heat sink using deionized water as the coolant. Numerical simulations are conducted for two configurations, one with pinfins at the hotspot (Model A) and one without pinfins (Model B). The effects of Reynolds number and hotspot heat flux on flow distribution, pumping power, thermal resistance and temperature uniformity are systematically analyzed. Results show…
To investigate transient flow instabilities in parallel-channel regenerative cooling systems subjected to nonuniform heat flux, a three-dimensional transient numerical model was developed to couple variations in supercritical fluid thermophysical properties with endothermic pyrolysis kinetics. The spatiotemporal evolution of RP-3 fuel within parallel channels was analyzed, and the role of a midstream interconnection structure in mitigating flow maldistribution was clarified. During the initial heating stage, the viscosity reduction of the supercritical fuel produced a drag-reduction effect…
The effective management of gas–liquid two-phase flow, emerging within the microchannels of proton exchange membrane fuel cells (PEMFCs) during operations, is crucial for improving energy conversion efficiency. In this study, the influence of surface wettability is examined for hydrophilic and hydrophobic conditions through a visualization-based experimental setup focused on single-droplet dynamics. The impact of key parameters on droplet behavior is systematically explored, while the mechanisms underlying the observed flow patterns are elucidated and the coupling
Desert photovoltaic, PV, installations experience significant efficiency losses due to dust accumulation, which also promotes localized overheating, known as hotspots, caused by uneven solar irradiance and partial cell shading. These hotspots can accelerate material degradation and increase the risk of permanent panel damage. This study presents an autonomous maintenance strategy based on a cooperative swarm of unmanned aerial vehicles, UAVs, enabling contactless dust removal and active hotspot cooling. The approach combines high-fidelity computational fluid dynamics…
Flows over rotating disks are central to numerous engineering applications, including turbines, rotating sensors, and advanced cooling devices, where the incoming fluid often strikes the disk at an angle. This study examines magnetohydrodynamic (MHD) oblique slip flow toward a rotating disk, accounting for critical effects such as velocity slip, thermal slip and thermal radiation. In particular, the Cattaneo–Christov heat flux model is used to capture thermal relaxation phenomena, frequently overlooked in prior analyses, while employing…
The rapid development of space transportation systems and high-speed military aircrafts have intensified interest in turbulent separated flows, particularly under transonic and supersonic conditions. Such flows commonly arise downstream of sudden expansions, where separation and subsequent reattachment generate strong shear layers, increased drag, and a low-pressure recirculation region at the base. In this study, the control of base pressure downstream of a sudden expansion is investigated numerically using a passive bullet-shaped rib. A jet issuing…
Type 2 Diabetes mellitus is a disease that afflicts approximately 537 million individuals all over the world, and continuous glucose monitoring (CGM) systems have become very important in the management of the disease. Nonetheless, the existing centralized data architecture of CGM generates high privacy and security risks, as sensitive patient health data can be easily abused. This paper introduces an original structure that incorporates both federated learning and blockchain technology and allows for predicting glucose…
Water scarcity is a significant challenge in arid and semi-arid countries, underscoring the importance of thoroughly studying groundwater resources. Egypt, especially in the Darb El-Arbaein region of the southern Western Desert, faces various water challenges and relies primarily on groundwater from the Nubian Sandstone aquifer. Proper management of this groundwater is essential for addressing these challenges. The study examines the spatial and temporal variations in the hydrogeochemistry of the Nubian sandstone aquifer. Data collected from…
This paper explores the thermal behavior of a composite building element consisting of two air cavities inside a porous layer under isothermal heating of the side walls. The system presents a model of a thermal protection element or building envelope where heat transfer occurs through combined conduction in the porous medium and natural convection in the air gaps. The mathematical formulation is based on the Navier-Stokes equations and the Darcy-Brinkman formulation for the porous structure.…
Large-capacity energy storage batteries exhibit thermal behaviors markedly different from conventional cylindrical or pouch cells. Due to their multilayer electrode structure, they show pronounced anisotropy in thermal conductivity between through-thickness and in-plane directions. This results in uneven heat diffusion and internal–external temperature gradients that surface sensors cannot capture. Moreover, heat generation varies with temperature and state of charge (SOC) owing to changes in internal resistance. To address these challenges, an equivalent circuit and anisotropic electrothermal…
To investigate the complex phase change behavior in two-phase condensation flow of hydrocarbon mixtures in inclined tubes, a numerical model was developed in Fluent using the Volume of Fluid method combined with the Lee phase change model. A mixing effect correction was incorporated to enhance the simulation accuracy, and its impact on the flow and heat transfer characteristics was systematically evaluated. Numerical simulations were performed and subsequently corrected for mixing effects; the final results show…
Energy storage batteries require strict thermal management due to temperature sensitivity, operating optimally within a narrow thermal range. Simultaneously, control rooms demand stable and comfortable ambient conditions for staff staying long-term. Conventional temperature control systems typically employ isolated solutions, resulting in functional fragmentation and inefficient resource utilization. To address these challenges, this study proposes and implements an integrated R290 secondary loop heat pump air-conditioning system designed to simultaneously manage the thermal environments of both energy…
Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026
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