Effective thermal management is paramount for successfully deploying lithium-ion batteries in residential settings as storage systems for the exploitation of renewable...
This study investigates the impact of nanocellulose, derived from non-wood plants, and phosphorescent SrAl2O4:Eu,Dy oxide on the mechanical, dielectric, and optical...
This commentary explores the transformative findings surrounding glycoRNAs, emphasizing their unique roles in cancer progression and the therapeutic opportunities...
19–20 April 2025–Nanjing, China—The 2025 National Congenital Heart Disease (CHD) Surgery Conference was successfully held at the Nanjing International Expo Convention Center.The conference was...
We are pleased to announce that the internationally recognized journal, the Canadian Journal of Urology (CJU), has been officially indexed in EBSCO. This significant milestone enhances the journal’s...
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...
Deep learning models have achieved remarkable success in healthcare, finance, and autonomous systems, yet their security vulnerabilities to adversarial attacks remain a critical challenge. This paper presents a novel dual-phase defense framework that combines progressive adversarial training with dynamic runtime protection to address evolving threats. Our approach introduces three key innovations: multi-stage adversarial training with TRADES (Tradeoff-inspired Adversarial Defense via Surrogate-loss minimization) loss that progressively scales perturbation strength, maintaining 85.10% clean accuracy on CIFAR-10 (Canadian…
In ultra-deep and large well sections, high collapse stresses and diminished annular return velocity present significant challenges to wellbore cleaning. With increasing depth, rising temperature and pressure constrain the regulation of displacement and drilling fluid rheology, impairing the fluid’s capacity to transport cuttings effectively. A precise understanding of cuttings settlement behavior and terminal velocity is therefore essential for optimizing their removal. This study accounts for variations in wellbore temperature and pressure, incorporates non-spherical cuttings and…
Time-averaged thermal convection in a rotating horizontal annulus with a higher temperature at its inner boundary is studied. The centrifugal force plays a stabilizing role, while thermal convection is determined by the “thermovibrational mechanism”. Convective flow is excited due to oscillations of a non-isothermal rotating fluid. Thermal vibrational convection manifests in the form of two-dimensional vortices elongated along the axis of rotation, which develop in a threshold manner with an increase in the amplitude of…
The paper presents an innovative approach to studying the reuse of a decommissioned natural gas production platform for the seasonal storage and extraction of a hydrogen-methane (H2-CH4) mixture from a depleted reservoir. The reuse plan involves removing outdated equipment from the platform’s decks while retaining essential components such as wellheads and separators. Exploiting a depleted reservoir for the injection of an H2-CH4 mixture requires a thorough understanding of its specific characteristics. This paper focuses on the…
Airfoil structures play a crucial role across numerous scientific and technological disciplines, with the transition to turbulence and stall onset remaining key challenges in aerodynamic research. While experimental techniques often surpass numerical simulations in accuracy, they still present notable limitations. This paper begins by elucidating the fundamental principles of transition, dynamic stall, and airfoil behavior. It then provides a systematic review of six major experimental methodologies and examines the emerging role of artificial intelligence in
The article presents the results of in-kind measurements and numerical modeling of the formation of water characteristics in the Kama River, which is used for technical water supply in the production of potash fertilizers. In the warm season, risks arise that threaten the sustainability of the water supply. It was found that in the summer, when the studied section of the Kama River is backed up by the Kama Hydroelectric Power Station, there is a…
Wind turbines play a vital role in renewable energy production. This review examines advancements in wind turbine blade morphing technologies aimed at enhancing power coefficients, reducing vibrations, and minimizing noise generation. Efficiency, vibration, and noise levels can be optimized through morphing techniques applied to the blade’s shape, leading edge, trailing edge, and surface. Leading-edge morphing is particularly effective in improving efficiency and reducing noise, as flow attachment and separation at the leading edge significantly influence…
This paper investigates the start-up and shutdown phases of a five-bladed closed-impeller centrifugal pump through experimental analysis, capturing the temporal evolution of its hydraulic performances. The study also predicts the transient characteristics of the pump under non-rated operating conditions to assess the accuracy of various machine learning methods in forecasting its instantaneous performance. Results indicate that the pump’s transient behavior in power-frequency mode markedly differs from that in frequency-conversion mode. Specifically, the power-frequency mode…
In photothermal power (solar energy) generation systems, purging residual molten salt from pipelines using high-pressure gas poses a significant challenge, particularly in clearing the bottom of regulating valves. Ineffective purging can lead to crystallization of the molten salt, resulting in blockages. To address this issue, understanding the gas-liquid two-phase flow dynamics during high-pressure gas purging is crucial. This study utilizes the Volume of Fluid (VOF) model and adaptive dynamic grids to simulate the gas-liquid…
Horizontal wells play a crucial role in enhancing shale gas reservoir production. This study employs transient multiphase simulation to investigate the impact of well trajectory on production optimization throughout a well’s life cycle. The research uses OLGATM as a simulator to examine six well trajectories: toe-up, toe-down, smooth horizontal, undulated toe-up, undulated toe-down, and undulated horizontal. Initial findings indicate comparable production rates across different trajectories during the early production phase, with toe-up wells showing slightly better…
To elucidate the relationship between pipeline erosion and wear during slurry transportation, this study considers three key influencing parameters, namely, the ratio of inlet to outlet pipe diameter, the length of the variable diameter section, and the roughness of the pipe wall. The impact of these factors on pipeline erosion and wear is analyzed using a single-factor analysis approach. In particular, the Fluent software is employed to conduct the required numerical simulations for variable…
The particle size distribution plays a crucial role in the transportation and deposition of eroded sediments. Gaining insights into the related sorting mechanism can significantly enhance our understanding of such processes. In this study, sand-covered slopes were examined. A controlled indoor rainfall simulation was conducted on loess slopes with a 12° incline and a rainfall intensity of 1.5 mm/min. These slopes were then covered with sand layers of varying thicknesses—0.5, 1.0, and 1.5 cm—to observe…
Thermal shock damage in deep shale hydraulic fracturing can impact fracture propagation behaviors, potentially leading to the formation of complex fractures and enhancing gas recovery. This study introduces a thermal-hydraulic-mechnical (THM) coupled fracture propagation model relying on the phase field method to simulate thermal shock-induced fracturing in the deep shale considering dynamic temperature conditions. The validity of this model is confirmed through comparison of experimental and numerical results concerning the THM-coupled stress field and…
Nitrogen oxides (NOx) and particulate matter (PM) present significant risks to both human health and environmental sustainability. The Integrated Dust Removal and Denitrification Technology (DRDt) offers a more efficient and cost-effective solution for achieving ultralow industrial flue gas emissions; however, its effectiveness is undermined by low catalyst load rates and poor stability in filter materials. This study addresses these limitations by modifying conventional PTFE filter media (PTFE-Tim) through the incorporation of sodium alginate (SA) and dopamine…
Cavitation is an unavoidable phenomenon in the operation of centrifugal pumps. Prolonged cavitation can cause significant damage to the components of the flow channel, and in severe cases, it may even interfere with the normal energy exchange processes within the pump. Therefore, effective monitoring of cavitation in centrifugal pumps is crucial. This article presents a study that approaches the issue from an acoustic perspective, using experimental methods to gather and analyze acoustic data at the…
Online gaming has become a daily norm, leading to unique forms of game-bullying distinct from traditional cyberbullying due to its immersive nature and ranking systems. This study examined how game-bullying victimization (GBV) affects depression via self-esteem, moderated by resilience and the state of flow, among 359 Chinese MOBA (Multiplayer-online-battle-arena) gamers (30.7% female, mean age = 23.8 years, SD = 4.57 years). The analysis revealed a direct link between GBV and depression. Self-esteem mediates this relationship,…
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