Anonymizing Adversarial Perturbation (AAP) for wearable sensor data hides identity signatures while preserving utility across multiple tasks. By injecting minimal,...
While disaster mental health outcomes are influenced by family systems, existing research typically focuses on individuals or dyads, lacking exploration of whole-family...
This article explores the latest developments in prestressed segmental precast and assembled piers, focusing on their stress characteristics under impact. It highlights...
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...
Recent advances in wearable devices have enabled large-scale collection of sensor data across healthcare, sports, and other domains but this has also...
Data curation is vital for selecting effective demonstration examples in graph-to-text generation. However, evaluating the quality of Knowledge Graphs...
AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization. Platforms...
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...
Finding materials with specific properties is a hot topic in materials science. Traditional materials design relies on empirical and trial-and-error methods,...
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...
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...
Recent advances in wearable devices have enabled large-scale collection of sensor data across healthcare, sports, and other domains but this has also...
Data curation is vital for selecting effective demonstration examples in graph-to-text generation. However, evaluating the quality of Knowledge Graphs...
AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization. Platforms...
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...
Finding materials with specific properties is a hot topic in materials science. Traditional materials design relies on empirical and trial-and-error methods,...
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...
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...
This article has no abstract.
Nanocellulose, derived from abundant lignocellulosic biomass, has emerged as a transformative material with unparalleled versatility across industries. This review systematically analyzes its sources, extraction methods, and multidimensional applications. Key findings include: (1) Plant fiber hierarchy dictates nanocellulose properties, with wood-derived cellulose offering high crystallinity and agricultural waste enabling cost-effective production. (2) Acid hydrolysis remains dominant for cellulose nanocrystals (CNCs), while mechanical methods yield high-aspect-ratio cellulose nanofibrils (CNFs). (3) Nanocellulose’s mechanical strength, biocompatibility, and tunable surface
In this study, 3,4-Epoxycyclohexylmethyl 3,4-epoxycyclohexanecarboxylate (ECC) and refined Camellia oleifera seed oil (RCOSO) obtained from saponification and acidified hydrolysis has been used as raw materials to perform ring-opening reactions for the preparation of cyclohexyl acrylate derivative (CAR). The structure of the synthesized product was characterized using infrared spectroscopy, Raman spectroscopy, and nuclear magnetic resonance spectroscopy. CAR was employed as a plasticizer to produce modified polyvinyl chloride (PVC) films, dioctyl phthalate plasticizer (DOP) used in reference samples
Power cables are important pieces of equipment for energy transmission, but achieving a good balance between flame retardancy and mechanical properties of cable sheaths remains a challenge. In this work, a novel intumescent flame retardant (IFR) system containing silicone-containing macromolecular charring agent (Si-MCA) and ammonium polyphosphate (APP) was designed to synergistically improve the flame retardancy and mechanical properties of ethylene-butyl acrylate copolymer (EBA) composites. The optimal mass ratio of APP/Si-MCA was 3/1 in EBA composites…
The integration of 3D-printed hydrogels in soft robotics enables the creation of flexible, adaptable, and biocompatible systems. Hydrogels, with their high-water content and responsiveness to stimuli, are suitable for actuators, sensors, and robotic systems that require safe interaction and precise manipulation. Unlike traditional techniques, 3D printing offers enhanced capabilities in tailoring structural complexity, resolution, and integrated functionality, enabling the direct fabrication of hydrogel systems with programmed mechanical and functional properties. In this perspective, we explore
Silicone rubber (SR) exhibits superior breathability and high-temperature resistance. However, SR is prone to degradation under extreme heat or combustion, limiting its effectiveness in mitigating secondary hazards. In this study, phosphate glass powder was used to calcinate zinc borate, lanthanum oxide, and cerium oxide. Methylphenyl polysiloxane was then grafted onto the surface of the glass powder, resulting in the modified powders designated as Methylphenyl polysiloxane-grafted zinc borate-modified phosphate glass powder (GF-ZnBM), Methylphenyl polysiloxane-grafted lanthanum oxide-modified…
Fluorination is a critical surface modification technique for enhancing the electrical performance of composite insulators. This study employs molecular simulations to examine the microstructure and space charge behavior of fluorinated and non-fluorinated silicone rubber under an electric field, with experimental validation. The results show that fluorinated silicone rubber exhibits lower total energy, higher polarization, and stronger dipole moments compared to its non-fluorinated counterpart, shifting the material from an insulating to a conductive state. Under lower…
Porous organic polymers are remarkably versatile materials with porous and carefully designed structures. They complement traditional preservation methods by overcoming their limitations and significantly extending the shelf life of preserved products. Notably, porous hollow nanospheres (PHNs), with their unique hollow structures capable of adsorbing and releasing organic molecules, have garnered considerable attention in food preservation. However, most PHNs are challenging to synthesize in one step, and PHNs are usually in powder form, which makes it…
The rapid development of urban rail transit has posed increasing construction and operational challenges for metro tunnels, often leading to structural damage. Grouting technology using cement-based materials is widely applied to address issues such as seepage, leakage, and alignment correction in shield tunnels. This study investigates the additional stress induced by grouting in silty soil layers, using cement-based grouts with different water-to-cement ratios and polyurethane-modified cement-based materials. Results show that additional stress decreases with depth…
PU, or polyurethane, features a repeating urethane group (-NH-COO-) in its molecular structure. Traditionally, PUs are synthesized from isocyanate and polyol compounds derived from fossil resources through polymerization reactions. The depletion of fossil fuels and the increasing climate problems call for the expansion of more renewable sources of chemicals, such as modern biomass. However, the conversion of biomass into chemicals is challenging due to the inherent molecular complexity of its composition. In recent years, advances…
Polyether ether ketone (PEEK)-based continuous glass fiber reinforced thermoplastic composite offers advantages such as high strength, electrical insulation, and heat insulation. Parts manufactured using this composite and 3D printing have promising applications in aerospace, automobile, rail transit, etc. In this paper, a high-temperature melt impregnation method was used to successfully prepare the 3D printing prepreg filaments of the aforementioned composite. In the FDM 3D printing equipment, a nozzle of high thermal conductivity and wear-resistant copper…
Vibration isolation is vital in engineering machinery, as it not only seriously affects the service life of machine components but also reduces the operating efficiency. Recently, metamaterials have been proposed for customized vibration-isolation needs through various functional designs. As a synthetic material, polymer materials have the advantages of good elasticity, low density, high specific strength, good corrosion resistance and easy processing, making it an ideal raw material for vibration-isolation metamaterials. At the same time, the…
A Shape Memory Polymer Composite (SMPC) is developed by reinforcing an epoxy-based polymer with randomly oriented short glass fibers. Diverging from previous research, which primarily focused on the hot programming of short glass fiber-based SMPCs, this work explores the potential for programming below the glass transition temperature (Tg) for epoxy-based SMPCs. To mitigate the inherent brittleness of the SMPC during deformation, a linear polymer is incorporated, and a temperature between room temperature and Tg is…
The food industry prioritizes food safety throughout the entire production process. This involves closely monitoring and evaluating all potential sources of biological or chemical contamination, starting from entering raw materials into the production chain and continuing to the final product. Biofilms on food surfaces or containers can harbor dangerous pathogens, such as Listeria monocytogenes. Therefore, it is essential to continuously manage microbial contamination on food contact surfaces to prevent foodborne infections. Recently, there has been increasing…
The global scarcity of clean water is an escalating issue due to climate change, population growth, and pollution. Traditional water purification technologies, while effective, often require significant energy input and complex infrastructure, limiting their accessibility. This review explores the use of conjugated polymer hydrogels as a promising solution for solar water purification. Conjugated polymer hydrogels offer unique advantages, including high photothermal conversion efficiency, effective heat management, and rapid water transport, which are crucial for efficient…
Exploring the spatiotemporal changes in Fractional Vegetation Coverage (FVC) helps to more accurately understand the quality of the ecological environment, which is of great significance for regional ecological protection and sustainable economic development. The study takes the Chengdu-Chongqing urban agglomeration as the research area, analyzes the characteristics and trends of vegetation cover changes from 2000 to 2020 using the Google Earth Engine cloud platform, and explores its driving factors based on the enhanced regression tree…
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