Nanocellulose, derived from renewable sources, offers promising applications, such as packaging. Its nanoscale fibrillar structure (<100 nm), illustrated in...
To explore the structural deformation properties under the change of liquid levels and instruct the design of structural health monitoring (SHM) system, this paper...
This paper presents an AI-enabled UAV system for optimizing user connectivity in 6G networks using cooperative reinforcement learning (CoRL). The proposed framework...
Tech Science Press is pleased to share that Ruochen Xian, Director of Integrity & Engagement, has been featured in the Society for Scholarly Publishing (SSP) Professional Profiles series....
We are delighted to announce that the Journal of Psychology in Africa has been officially accepted for inclusion in APA PsycInfo, the premier database for psychological literature...
Anomaly detection in wind turbines involves emphasizing its ability to improve operational efficiency, reduce maintenance costs, extend their lifespan,...
Excavation-induced deformations of earth-retaining walls (ERWs) can critically affect the safety of surrounding structures, highlighting the need for...
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...
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...
Anomaly detection in wind turbines involves emphasizing its ability to improve operational efficiency, reduce maintenance costs, extend their lifespan,...
Excavation-induced deformations of earth-retaining walls (ERWs) can critically affect the safety of surrounding structures, highlighting the need for...
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...
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...
Objective: Mesenchymal stem cells (MSCs) are important cells in bone tissue engineering. Bone morphogenetic protein-2 (BMP-2) effectively treats bone defects and nonunion. The purpose of this study is to investigate whether BMP-2 promotes bone formation and femoral fracture healing by inhibiting inflammation and promoting osteogenic differentiation of MSCs, in order to provide an experimental basis for developing more efficient fracture treatment strategies. Methods: Bone marrow-derived MSCs (BMSCs) were isolated from rats and treated with OE-BMP-2,…
Objectives: Targeting epigenetic modifications in anticancer therapy is a promising approach to overcoming cancer cell chemoresistance. The histone deacetylase/DNA methyltransferase inhibitor, parthenolide (PTL), has antitumor activity, but contrasting findings exist on its effect in normal cells. This study aims to examine the non-genomic toxic mechanisms of PTL in human erythrocytes. Methods: Cell death as stimulated by 20–200 μM of PTL for 24 h at 37°C was assessed using fluorescence-assorted cell sorting and spectrophotometric assays. Canonical…
Objectives: PI3K plays a pivotal role in the inflammatory response by modulating the production and release of inflammatory factors. Pik3cb is one of the subunits of PI3K, and its specific role in myocardium inflammation remains unelucidated. This study aimed to investigate the role of Pik3cb in the inflammatory response and to elucidate the underlying mechanism. Methods: An inflammation model was established using H9c2 cells treated with LPS and ATP, and Pik3cb expression was evaluated in…
Lewy body diseases (LBD), including Parkinson’s disease (PD) and dementia with Lewy bodies (DLB), are neurodegenerative disorders characterized by the intracellular aggregation and accumulation of α-Synuclein (αSyn), leading to neuronal death. Although these diseases primarily present with symptoms affecting the central nervous system (CNS), such as motor and cognitive impairment, increasing research suggests that their roots may be found in the gut. This review summarizes recent findings and key historical insights into the involvement of
Background: Cisplatin (CDDP) is a cornerstone chemotherapeutic agent for many solid tumors, but its clinical use is severely limited by dose-dependent nephrotoxicity, which results in acute kidney injury (AKI) in a significant proportion of patients. CDDP-induced AKI involves interconnected mechanisms, including inflammation, oxidative stress, and tubular cell death. In this study, we aimed to investigate the renoprotective effects of esculetin (ES), a natural antioxidant coumarin, in a murine model of CDDP-induced AKI. Methods: Male C57BL/6…
Elevated homocysteine is a clinically relevant metabolic signal in chronic obstructive pulmonary disease (COPD). Higher circulating levels track with oxidative stress, endothelial dysfunction, mitochondrial impairment, and pulmonary vascular remodeling, rise with disease severity, and may contribute to the excess cardiovascular risk—although effect sizes and causality remain uncertain. This review centers on the homocysteine–carnitine relationship in COPD pathophysiology. Carnitine deficiency, prevalent in COPD, can worsen mitochondrial bioenergetics, promote accumulation of acyl intermediates, and reduce nitric oxide…
This commentary analyzes the effect of Exendin-4 on wound healing. After introducing information about the drug, considerations are added regarding its impact on this process. To accelerate wound healing, the drug’s combined effects with stem cells and other factors are examined, aiming to enhance and thus accelerate the process. Finally, the clinical potential of this drug’s effect is considered, not only for wound healing but also in other diseases. Therefore, reading this commentary may provide
Objectives: An allergy is an exaggerated immune response, and mast cells play central roles in allergic pathologies. Allyl isothiocyanate can suppress inflammatory responses; however, whether allyl isothiocyanate has a suppressive effect on allergic pathologies remains unclear. Methods: 2,4-dinitrofluorobenzen or ovalbumin was used to establish a mouse model of allergic contact dermatitis or food allergy, respectively. The mRNA level of cytokines was determined using real-time polymerase chain reaction. To examine the effects of allyl isothiocyanate on…
The pathogenesis of insulin resistance is influenced by environmental factors, genetic predispositions, and several medications. Various drugs used to manage multiple ailments have been shown to induce insulin resistance, which could lead to Type II Diabetes mellitus (T2DM). Central to drug-induced insulin resistance is mitochondrial dysfunction. Amongst disturbed pathways in drug-induced mitochondrial toxicity is mitophagy, a process that removes dysfunctional mitochondria through the lysosomal pathways to maintain mitochondrial quality. A balance must always be maintained…
The development of cancer cell resistance to conventional treatments continues to be a major obstacle in the successful treatment of tumors of many types. The discovery of a highly efficient direct and indirect free radical scavenger, melatonin, in the mitochondrial matrix may be a factor in determining both the occurrence of cancer cell drug insensitivity as well as radioresistance. This relates to two of the known hallmarks of cancer, i.e., exaggerated free radical generation in…
The use of wood-polymer composites (WPC) based on a polymer matrix and wood filler is a modern, environmentally friendly direction in material science. However, untreated wood filler exhibits poor adhesion to hydrophobic polymers due to its hydrophilic lignocellulose fibers. To address this, ozone treatment is employed to enhance compatibility, reduce water absorption, and regulate biodegradation rates. This study investigates the hypothesis that ozone modification of wood filler improves adhesion to thermoplastic starch, thereby enhancing the…
Increased human and industrial activities have exacerbated the release of toxic materials and acute environmental pollution in recent times. Biochar, a carbon-rich material produced from biomass, is gaining momentum as a versatile material for attaining a sustainable environment. The study reviews the application of functionalized biochar for energy storage, environmental remediation, catalysis, and sustainable agriculture, aiming to achieve a greener future. The deployment of crop residues as a renewable feedstock for biochar, and their properties,…
Nitrogen-doped activated carbon (N-AC) was successfully prepared by KOH-activation and nitrogen doping using ammonia (NH3) heat treatment. Coconut shell-derived activated carbon (AC) was heat-treated under NH3 gas in the temperature range of 700°C–900°C. Likewise, the mixture of potassium hydroxide (KOH) and AC was heated at 800°C, followed by heat treatment under NH3 gas at 800°C (hereafter referred to as KOH-N-AC800). Scanning electron microscopy (SEM), Raman spectroscopy, X-ray photoelectron spectroscopy (XPS) and Brunauer-Emmett-Teller (BET) method were utilized to…
Growing environmental concerns and the need for sustainable alternatives to synthetic materials have led to increased interest in bio-based composites. This study investigates the development and characterization of sustainable egg packaging waste (EPW) biocomposites derived from recycled wood fibers and fungal mycelium filaments as a natural binder. Three formulations were prepared using EPW as the primary substrate, with and without the addition of hemp shives and sawdust as co-substrates. The composites were evaluated for granulometry,…
The global demand for renewable and sustainable non-petroleum-based resources is rapidly increasing. Lignocellulosic biomass is a valuable resource with broad potential for nanocellulose (NC) production. However, limited studies are available regarding the potential toxicological impact of NC. We provide an overview of the nanosafety implications associated mainly with nanofibrillated cellulose (CNF) and identify knowledge gaps. For this purpose, we present an analysis of the studies published from 2014 to 2025 in which the authors mention…
It is highly attractive for the catalysts prepared from renewable materials and/or industrial by-products. Herein, lignosulfonate (LS) as the by-product in the papermaking industry was utilized to fabricate Sn-containing organic-inorganic complexing catalysts (Sn(x)@LS) by a simple hydrothermal self-assembly process. The fabricated Sn(x)@LS played an excellent performance in the dehydration of xylose into furfural in the carbon tetrachloride (CTC)-water biphasic system, yielding 78.5% furfural at 180°C for 60 min. It was revealed that strong coordination between Sn4+…
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