Indoor air quality (IAQ) is often overlooked, yet a poorly maintained environment can lead to significant health issues and reduced concentration and productivity...
In an original research, we discovered that engaging in regular physical activity significantly reduces the risk of anxiety and depression symptoms in youth with...
The transition to 6G networks presents unique challenges in ensuring secure, reliable, and energy-efficient communication particularly in the context of IoT applications....
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...
To Global Academic Partners, Open Access Platforms, Conference Organizers, Social Media Research Groups, and Ethics Committee Representatives:It has come to our attention that certain third-party...
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....
COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...
The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...
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 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....
COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...
The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...
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 thermal stability of lithium-ion battery separators is a critical determinant of battery safety and performance, especially in the context of rapidly expanding applications in electric vehicles and energy storage systems. While traditional polyolefin separators (PP/PE) dominate the market due to their cost-effectiveness and mechanical robustness, their inherent poor thermal stability poses significant safety risks under high-temperature conditions. This review provides a comprehensive analysis of recent advancements in enhancing separator thermal stability through coating materials…
The ongoing operation of subway systems makes existing tunnels vulnerable to deformations and structural damage caused by adjacent foundation pit construction. Such deformations-manifesting as horizontal displacement, heightened lateral convergence, and internal force redistribution-may significantly compromise subway operational safety. Grouting remediation has become a widely adopted solution for tunnel deformation control and structural reinforcement. Developing optimized grouting materials is crucial for improving remediation effectiveness, ensuring structural integrity, and maintaining uninterrupted subway operations. This investigation explores the…
This paper presents the development of a thermoplastic shape memory rubber that can be programmed at human body temperature for comfortable fitting applications. We hybridized commercially available thermoplastic rubber (TPR) used in the footwear industry with un-crosslinked polycaprolactone (PCL) to create two samples, namely TP6040 and TP7030. The shape memory behavior, elasticity, and thermo-mechanical response of these rubbers were systematically investigated. The experimental results demonstrated outstanding shape memory performance, with both samples achieving shape fixity
The rapid urbanization underscores the urgency of efficient treatment and resource utilization of municipal sludge for environmental conservation. To address this, a novel pH-responsive dual network polyvinyl alcohol/sodium alginate sludge hydrogel was devised by integrating municipal sludge with acrylic acid monomers, ammonium persulphate initiator, N, N’-methylene bisacrylamide crosslinking agent, reinforced by polyvinyl alcohol and sodium alginate through free radical cross-linking polymerization. The hydrogel’s optimal formulation was identified by adjusting the monomer, crosslinking agent, and initiator
Proton exchange membrane fuel cells (PEMFCs) have gained increasing interests as promising power sources due to their ability to convert hydrogen and oxygen directly into electricity with high efficiency and zero greenhouse gas emissions. Bipolar plates (BPs) are considered as a critical component of PEMFCs, serving to collect current, separate gases, distribute the flow field, and conduct heat. This paper reviews the technical status and advancements in BP materials, with special focus on strategies for
This work reports a soft chemistry approach for the synthesis of magnesium oxide nanoparticles (MgO) incorporated in a polyaniline (PANI) matrix to give PANI/MgO nanocomposite. Using spin coating method, three different percentages of MgO/PVC (1, 2, and 3% in wt.%) were deposited on glass substrates. These films of PANI/MgO nanocomposite were characterized by X-ray diffraction (XRD), atomic force microscopy (AFM), and UV-visible spectroscopy. The results of the XRD pattern revealed the embedding of MgO nanoparticles…
With the rapid development of flexible wearable electronic products, their application fields and demands are increasing, posing new challenges to flexible conductive materials. This paper selected flexible polydimethylsiloxane (PDMS) as the substrate. In order to enhance the adhesion between the substrate and the metal coating, dopamine and silanization were used to co-modify its surface. A conductive layer of metallic copper is deposited on its surface using an inexpensive, easy-to-use electroless plating technique. By optimizing the…
In this manuscript, we conveniently prepared a series of polyester-polycarbonate copolymer (PPC-P)/polybutylene adipate terephthalate (PBAT) blends that exhibit both flame-retardant properties and toughness. Piperazine pyrophosphate (PAPP), melamine phosphate (MPP) and ZnO were used as synergistic flame retardants for PPC-P/PBAT blends. The effects of synergistic flame retardants on thermal stability, combustion behavior and flame retardancy of PPC-P/PBAT blends were investigated. The results showed that when the ratio of PAPP/MPP/ZnO was 18.4:9.2:2.4, the LOI of PPC-P/PBAT composite…
The continuous improvement in patient care and recovery is driving the development of innovative materials for medical applications. Medical sutures, essential for securing implants and closing deep wounds, have evolved to incorporate smart materials capable of responding to various stimuli. This study explores the potential of thermoresponsive sutures, made from shape memory materials, that contract upon heating to bring loose stitches closer together, promoting optimal wound closure. We developed nanocomposites based on a blend of…
This work explores the dielectric and electrochemical properties of solid biopolymer blend electrolytes (SBEs) based on a combination of alginate and polyvinyl alcohol (PVA), doped with varying concentrations of ammonium iodide (NH4I). The SBEs were synthesized using the solution casting method, and their ac conductivity exhibited an optimal value of 1.01 × 10−5 S · cm−1 at 25 wt.% NH4I. Detailed dielectric and modulus spectroscopy analyses revealed distinctive trends in relation to NH4I concentration, suggesting complex dielectric relaxation
Photocatalysis is a crucial technique for environmental cleanup and renewable energy generation. Polymer-based photocatalysts have attracted interest due to their adaptability, adjustable chemical characteristics, and enhanced light absorption efficiency. Unlike traditional inorganic photocatalysts, we can optimize polymeric systems to enhance photocatalytic efficiency and yield significant advantages in environmental remediation and energy conversion applications. This study talks about the latest developments in polymer-based photocatalysts and how important they are for cleaning water, breaking down pollutants, and…
Acrylonitrile–butadiene–styrene (ABS) is the main material used in fused deposition modeling (FDM), which has good toughness and strength, but the single ABS material has poor heat resistance, which tends to cause warping and deformation during the printing process. Polycarbonate (PC) exhibits good performance in heat resistance, allowing it to maintain stable performance at higher temperatures. In this work, PC was used as a blending modifier to prepare five kinds of ABS/PC composite filaments, and the…
Flexible electrochromic devices (FECDs) demonstrate significant potential for applications in wearable electronics, military camouflage, and flexible smart displays. As a crucial electrochromic material, poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS) is widely used in FECDs due to its excellent mechanical flexibility, tunable conductivity, and non-toxicity. However, the manufacturing process for patterned PEDOT:PSS electrochromic devices remains intricate, costly, and challenging to personalize. To address this challenge, we have developed a 3D-printable ink with controllable rheological properties through a concentration-tuning strategy,…
Geological samples often contain significant amounts of iron, which, although not typically the target element, can substantially interfere with the analysis of other elements of interest. To mitigate these interferences, amidoxime-based radiation grafted adsorbents have been identified as effective for iron removal. In this study, an amidoxime-functionalized, radiation-grafted adsorbent synthesized from polypropylene waste (PPw-g-AO-10) was employed to remove iron from leached geological samples. The adsorption process was systematically optimized by investigating the effects of pH,…
Smart materials with self-healing properties are highly desired. This study investigates graphene-incorporated styrene-isoprene-styrene (SIS) nanocomposites for their self-healing property assisted by Infrared (IR) and microwave radiation. The good thermal conductivity and energy-absorbing capacity of graphene offer self-healing capability to SIS/GnP nanocomposites due to their exposure to IR and microwave radiation. The absorbed energy in graphene is transferred to the SIS matrix, facilitating the diffusion, re-entanglement, and restoration of the SIS polymer chains, resulting in multiple…
Hydrodynamic cavitation, as an efficient technique applied in many physical and chemical treatment methods, has been widely used by various industries and in several technological fields. Relevant generators, designed with specific structures and parameters, can produce cavitation effects, thereby enabling effective treatment and reasonable transformation of substances. This paper reviews the design principles, performance, and practical applications associated with different types of cavitation generators, aiming to provide theoretical support for the optimization of these systems.…
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