This survey presents a comprehensive review of adversarial reinforcement learning (ARL) techniques for intrusion detection in Internet of Things (IoT) environments....
This study presents a novel wind barrier based on the Tesla valve concept, developed to improve the aerodynamic safety of high-speed trains exposed to extreme crosswind...
This picture compares the performance of proline dehydrogenase gene-modified wheat with wild-type under drought stress. Under normal conditions, both grow similarly....
Gratitude, Growth, and Global Engagement The Canadian Journal of Urology (CJU) is pleased to share its 2025 annual highlights. Over the past year, the journal has maintained steady growth,...
Bangkok, Thailand | January 26–28, 2026 — Tech Science Press is pleased to share that John Chen, Director of Development, represented the company at the Charleston Asia Conference, where...
Quantitative analysis of aluminum-silicon (Al-Si) alloy microstructure is crucial for evaluating and controlling alloy performance. Conventional analysis...
Internet of Things (IoTs) devices are bringing about a revolutionary change our society by enabling connectivity regardless of time and location. However,...
Ultra-high-strength aluminum alloy profile is an ideal choice for aerospace structural materials due to its excellent specific strength and corrosion...
Adversarial Reinforcement Learning (ARL) models for intelligent devices and Network Intrusion Detection Systems (NIDS) improve system resilience against...
Predicting the precise impacts of climate change on extreme winds remains challenging, yet strong storms are widely expected to occur more frequently...
For hypersonic air-breathing vehicles, the V-shaped leading edges (VSLEs) of supersonic combustion ramjet (scramjet) inlets experience complex shock interactions...
Background: Mental health concerns among doctoral students have become increasingly prominent, with consistently low levels of well-being making this...
Background: Bullying is a current social and educational problem with detrimental consequences in adolescence and later life stages. Previous research...
Inverse design of advanced materials represents a pivotal challenge in materials science. Leveraging the latent space of Variational Autoencoders (VAEs)...
Predicting the behavior of renewable energy systems requires models capable of generating accurate forecasts from limited historical data, a challenge...
In the pursuit of carbon peaking and neutrality goals, multi-energy parks, as major energy consumers and carbon emitters, urgently require low-carbon...
Decarbonising the building sector, particularly residential heating, represents a critical challenge for achieving carbon-neutral energy systems. Efficient...
Neutrophil extracellular trap (NET) formation or NETosis is a specialized innate immune process in which neutrophils release chromatin fibers decorated...
Stem cell fate decisions are increasingly understood through the dynamic interplay of two fundamental stress-adaptive programs: the integrated stress...
Objectives: Immunotherapy based on immune checkpoint blockade (ICB) has become a key treatment for melanoma. However, the increasing number of cases of...
Background: Photodynamic therapy (PDT) may eradicate residual malignant cells following sarcoma resection, through reactive oxygen species (ROS) mediated...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
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 theme captures the essence of advanced technologies (AI, machine learning, big data), modern applications (climate change, smart cities, health research),...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
This special issue seeks original research and review articles on the roles of γδ T cells and invariant natural killer T (iNKT) cells in malignancies....
The mobile internet has revolutionized our daily lives, providing continuous connectivity, communication, and access to a wide range of services and applications...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Quantitative analysis of aluminum-silicon (Al-Si) alloy microstructure is crucial for evaluating and controlling alloy performance. Conventional analysis...
Internet of Things (IoTs) devices are bringing about a revolutionary change our society by enabling connectivity regardless of time and location. However,...
Ultra-high-strength aluminum alloy profile is an ideal choice for aerospace structural materials due to its excellent specific strength and corrosion...
Adversarial Reinforcement Learning (ARL) models for intelligent devices and Network Intrusion Detection Systems (NIDS) improve system resilience against...
Predicting the precise impacts of climate change on extreme winds remains challenging, yet strong storms are widely expected to occur more frequently...
For hypersonic air-breathing vehicles, the V-shaped leading edges (VSLEs) of supersonic combustion ramjet (scramjet) inlets experience complex shock interactions...
Background: Mental health concerns among doctoral students have become increasingly prominent, with consistently low levels of well-being making this...
Background: Bullying is a current social and educational problem with detrimental consequences in adolescence and later life stages. Previous research...
Inverse design of advanced materials represents a pivotal challenge in materials science. Leveraging the latent space of Variational Autoencoders (VAEs)...
Predicting the behavior of renewable energy systems requires models capable of generating accurate forecasts from limited historical data, a challenge...
In the pursuit of carbon peaking and neutrality goals, multi-energy parks, as major energy consumers and carbon emitters, urgently require low-carbon...
Decarbonising the building sector, particularly residential heating, represents a critical challenge for achieving carbon-neutral energy systems. Efficient...
Neutrophil extracellular trap (NET) formation or NETosis is a specialized innate immune process in which neutrophils release chromatin fibers decorated...
Stem cell fate decisions are increasingly understood through the dynamic interplay of two fundamental stress-adaptive programs: the integrated stress...
Objectives: Immunotherapy based on immune checkpoint blockade (ICB) has become a key treatment for melanoma. However, the increasing number of cases of...
Background: Photodynamic therapy (PDT) may eradicate residual malignant cells following sarcoma resection, through reactive oxygen species (ROS) mediated...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
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 theme captures the essence of advanced technologies (AI, machine learning, big data), modern applications (climate change, smart cities, health research),...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
This special issue seeks original research and review articles on the roles of γδ T cells and invariant natural killer T (iNKT) cells in malignancies....
The mobile internet has revolutionized our daily lives, providing continuous connectivity, communication, and access to a wide range of services and applications...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Pulse tube cryocoolers are widely employed in cryogenic systems, where gas contamination has become a critical factor limiting both performance and service life. To further investigate the condensation behavior of contaminants, this study develops a two-dimensional axisymmetric model of a linear-type cryocooler to simulate the transport and deposition processes of trace CO2, evaluating the impact of contamination on system pressure drop under various operating conditions. Results indicate that CO2 diffusion is primarily driven by concentration gradients.…
This article presents an adaptive intelligent control strategy applied to a lumped-parameter evaporator model, i.e., a simplified dynamic representation treating the evaporator as a single thermal node with uniform temperature distribution, suitable for control design due to its balance between physical fidelity and computational simplicity. The controller uses a wavelet-based neural proportional, integral, derivative (PID) controller with IIR filtering (infinite impulse response). The dynamic model captures the essential heat and mass transfer phenomena through a…
Based on the Fluent numerical simulation method, this study systematically analyzed the structural parameters of the spiral tube heat exchanger and the influence of the external baffle on its heat transfer performance. The results show that when the equivalent diameter of the spiral tube increased from 16.68 to 21.23 mm, its surface heat transfer coefficient decreased from 22,040 to 17,230 W/m2·K, and the outlet air temperature dropped from 822.3 to 807.3 K. However, the pressure loss…
The proton exchange membrane fuel cell (PEMFC) and the hydrogen hybrid power system are studied by the fuzzy-PID (FPID) control method and the fuzzy-PID control method by Artificial Bee Colony algorithm (ABC-FPID), respectively. The results reveal that compared with the FPID control method, the temperature overshoot of the PEMFC stack under the ABC-FPID control method is decreased by 0.6%. Moreover, the circulating water flow rate within the full operating envelope (about 3 min) is reduced…
In response to the actual demands of the energy storage type organic Rankine power generation cycle, this study proposes a new type of jacketed shell and tube heat exchanger with integrated cold storage and heat exchange. N-tedecane is selected as the phase change material for cold storage, low-temperature water as the cold source, and R134a as the heat source. The phase change material for cold storage is filled inside the jacket tube of the heat…
High-concentration photovoltaic (HCPV) systems present significant thermal management challenges due to the intense heat fluxes generated under concentrated solar irradiation, especially in arid environments. Effective heat dissipation is critical to prevent performance degradation and structural failure. This study investigates the thermal performance and design optimization of an enhanced HCPV module, integrating numerical, analytical, and experimental methods. A coupled optical-thermal-electrical model was developed to simulate ray tracing, heat transfer, and temperature-dependent electrical behaviour, with predictions validated…
This study addresses the energy-intensive challenge of small-scale biogas upgrading by optimizing a chemical absorption process employing methyl diethanolamine (MDEA). Focusing on a typical distributed application of 300 Nm3/d, we developed an integrated simulation-optimization framework using Aspen HYSYS 14.0 to systematically evaluate the effects of critical operating parameters—absorption pressure, MDEA concentration, flow rate, temperature, number of trays, and reboiler duty—on methane purity and energy consumption. The key finding is the identification of an optimal parameter set:…
In order to explore the effects of CaO, lignite dust and sawdust on the drying characteristics of municipal sludge at different concentrations, a three-factor three-level regression experiment was carried out based on the results of thermogravimetric experiment and single factor experiment. By fitting three common mathematical models, the Page model with the highest fitting degree was selected to determine the most suitable mathematical model to describe the municipal sludge drying process. In addition, the Box-Behnken…
To explore the distribution law of the temperature field in the motor pump and the influence of the fan-shaped DC channel with spoiler in the pump housing on its heat dissipation performance. This study takes the arc-gear type hydraulic motor pump as the research object. In COMSOL, a coupled heat transfer simulation model of the motor pump’s fluid-solid coupling is established, and the internal temperature field characteristics are analyzed. To improve the heat dissipation effect…
This work explores a Magnetohydrodynamic (MHD) flow in a triangular cavity with a thermally insulated baffle. Enclosure’s inclined wall is hotter, whereas the vertical border is adiabatic and the bottom is cooler. The study aims to clarify how geometric changes affect thermal performance and offers new perspectives on how to improve heat dissipation mechanisms. A COMSOL Multiphysics version 6.2 has been used to solve numerical solutions. Streamlines and thermal distributions are examined systematically in order…
The purpose of the present investigation is to explore the implications of Cross fluid in a Darcy-Forchheimer porous medium due to the tri-hybrid nanofluid past a porous cylinder. Thermal radiation, heat generation, thermal convection, solutal convective and chemical reaction have been encountered in this analysis. Entropy generation has been accounted for under the fluidic friction, heat rate analysis, and porosity analysis. Three different nanoparticles of multiwall carbon nanotube (
The continuous improvement of solar thermal technologies is essential to meet the growing demand for sustainable heat generation and to support global decarbonization efforts. This study presents the design, implementation, and validation of a real-time monitoring framework based on the Internet of Things (IoT) and cloud computing to enhance the thermal performance of evacuated tube solar water heaters (ETSWHs). A commercial system and a custom-built prototype were instrumented with Industry 4.0 technologies, including platinum resistance…
This study presents the design, construction, and thermal evaluation of a solar-powered cocoa roaster based on a Parabolic Cylinder Collector (PCC) with dual-axis solar tracking. The system integrates three functional subsystems: the cylindrical-parabolic reflecting surface, the stainless-steel absorber tube, and a microcontroller-based tracking mechanism. The prototype enables continuous acquisition of key thermal variables (solar irradiance, ambient temperature, absorber surface temperature, and bean temperature), allowing a detailed characterization of heat transfer processes during roasting. Roasting experiments…
Heat exchangers play a crucial role in thermal energy systems, with their performance directly impacting efficiency, cost, and environmental impact. A powerful technique for performance improvement can be given by passive enhancement strategies, which are characterized by their dependability and minimal external power requirements. This comprehensive review critically assesses recent advancements in such passive methods to evaluate their heat transfer mechanisms, performance characteristics, and practical implementation challenges. Our methodology involves a systematic and comprehensive analysis…
This study presents a numerical investigation of the transient relaxation dynamics of a near-critical CO2 droplet immersed in a warmer supercritical environment composed of the same fluid. Three thermodynamic regimes were analysed: quasi-critical (
This study experimentally investigates the influence of surface wettability on the frosting characteristics of three types of corrugated structures (Types A, B, and C) under controlled low-temperature conditions. The experiments were conducted in a constant-temperature bath at a cold surface temperature of –5°C, relative humidity of 90%, and ambient air temperature of 10°C. The results reveal that the variation trends of frost morphology, frost mass, and frost layer thickness are generally consistent across surfaces with different…
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