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...
25 July 2025 — Oncology Research is pleased to highlight a selection of highly cited articles published in 2024 and 2025. These outstanding papers have made a notable impact in the...
The 2025 International Conference on Clean Energy and Electrical Engineering (ICCEEE 2025) was successfully held in Changchun, China, from July 18 to 21, bringing together leading researchers,...
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...
Noise present in remote sensing data creates obstacles to proper land use and land cover (LULC) classification methods. The paper evaluates machine learning (ML) denoising methods that adapt Raman spectroscopy’s spectral techniques to optimise remote sensing spectra for land-use/land-cover (LULC) mapping. A basic Raman spectroscopy model demonstrates that Savitzky-Golay (SG) filtering, Wavelet denoising, and basic 1D Convolutional Autoencoder have different effects on synthetic spectral features relevant to LULC classification. Savitzky-Golay filtering yielded the most efficient…
Changes in land use/land cover (LULC) are a substantial environmental subject with considerable consequences for human well-being, climate, and ecosystems. Innovative investigations for predicting LULC changes are essential for effective land management and sustainable development. This study used Landsat images and supplementary spatial factors to evaluate spatiotemporal LULC changes in Erbil Province, Kurdistan Region-Iraq. It predicts future changes in 2040 using four climates scenario-based Shared Socioeconomic Pathways (SSPs). The Random Forest (RF) model was used…
Understanding trends in rainfall and temperature projections is critical for assessing climate change impacts, managing water resources, mitigating disaster risks, and guiding sustainable agricultural and infrastructure planning. This study investigates projected changes in temperature and rainfall in the Upper Bernam River Basin (UBRB), Malaysia, using ten Global Climate Models (GCMs) from CMIP6 across four scenarios (SSP126, SSP245, SSP370, and SSP585). Downscaling was conducted with the Climate-Smart Decision Support System (CSDSS) for the baseline period (1985–2014)…
Urban sprawl affects the sustainable development of the world’s economy and society. Confirming urban sprawl trends and proposing countermeasures have received significant attention. Cities are self-organizing systems with dissipative attributes, and city development is accompanied by urban entropy changes. Urban entropy change reveals the essence of urban sprawl; thus, it can be used to measure urban sprawl and better understand its phenomena. However, the literature on entropy change in urban sprawl research is limited to…
This study aimed to create a model for calculating the total reference crop evapotranspiration (ETo) in Mersin Province from May 2015 to 2020 and to generate maps using spatial analysis. Lemons from citrus play a significant role in Mersin’s agriculture, and because of lemons’ sensitivity to temperature, ETo is essential for them. It was observed that the ETo value () calculated using the Penman-Monteith (PM) method increased over the years. A model was developed using…
This review explores the implementation and effectiveness of continuous evaluation programs in managing and mitigating insider threats within organizations. Continuous evaluation programs involve the ongoing assessment of individuals’ suitability for access to sensitive information and resources by monitoring their behavior, access patterns, and other indicators in real-time. The review was conducted using a comprehensive search across various academic and professional databases, including IEEE Xplore, SpringerLink, and Google Scholar and papers were selected from a time…
Background: Silica nanoparticles (SiNPs), commonly utilized in industrial and biomedical fields, are known to provoke pulmonary inflammation by elevating cyclooxygenase-2 (COX-2) levels in human pulmonary alveolar epithelial cells (HPAEpiCs). Salvianolic acid A (SAA), a water-soluble polyphenol extracted from Salvia miltiorrhiza (Danshen), possesses well-documented antioxidant and anti-inflammatory activities. Nevertheless, its potential to counteract SiNP-induced inflammatory responses in the lung has not been thoroughly explored. Objective: This study aimed to evaluate the protective role and mechanistic actions of…
Objectives: Progression to castration-resistant prostate cancer (CRPC) and metastasis are the greatest challenges to effective treatment. Anticancer strategies targeting the key kinases associated with the development of CRPC may represent a breakthrough. The tyrosine kinase receptor Erythropoietin-producing hepatocellular (Eph) A2 receptor is highly expressed in CRPC cell lines and may be associated with tumor invasion and metastasis. However, the effects and exact mechanisms of EphA2 in CRPC are only partially understood. This study aimed to…
Background: Parkinson’s disease (PD) is a common neurodegenerative disease, characterized by symptoms like tremors, muscle rigidity, and slow movement. The main cause of these symptoms is the loss of dopamine-producing neurons in a brain area called the substantia nigra. Various genetic and environmental factors contribute to this neuronal loss. Once symptoms of PD begin, they worsen with age, which also impacts several critical cellular processes. Leucine-rich repeat kinase 2 (LRRK2) is a gene associated with…
Objectives: Limosilactobacillus reuteri is a beneficial Lactobacillus widely used in foods and supplements to promote overall health. Some studies also suggest it supports skin health and prevents allergies and cardiovascular disease. However, research on its skin-protective effects against photoaging has not been conducted. This study evaluated the potential of culture broths from three L. reuteri strains (DS0333, DS0384, and DS0385) to inhibit skin photoaging. Methods: To assess their anti-photoaging potential, the culture broths were examined for antioxidant…
Ginsenosides, the bioactive saponins primary found in Panax ginseng, possess a complex structure that underlies their diverse pharmacological properties. Ginsenoside Rg3 stands out for its broad therapeutic potential, including anticancer, anti-inflammatory, neuroprotective, and cardiovascular effects. This review provides a comprehensive overview of the cellular and molecular mechanisms of Rg3, emphasizing its roles in regulating apoptosis, inflammation, oxidative stress, and metabolic pathways relevant to skincare and anticancer applications. The unique biological activities of its isomeric forms, 20(S)-Rg3
Alzheimer’s disease (AD) is a neurological disorder characterized primarily by a progressive decline in cognitive and behavioral functions. The pathogenesis of AD has not been fully elucidated till now. The progesterone receptor (PR) family has recently attracted increasing attention and has become the focus of potential links to factors such as the pathogenesis and pathological changes of AD due to its role in the central nervous system. This article summarizes the progress of research progress
Objectives: NOD-like receptor family pyrin domain-containing (NLRP) 1-mediated pyroptosis plays a key role in the pathogenesis of cerebral ischemia-reperfusion injury (CIRI). C-Myc is reported to play a major role in CIRI. However, the mechanism remains unclear. This study aimed to investigate whether c-Myc affects CIRI by regulating Serine/Arginine-rich Splicing Factor 1 (SRSF1)/NLRP1-mediated pyroptosis. Methods: Oxygen-glucose deprivation/reperfusion (OGD/R) induced neuroblastoma cells for the establishment of an in vitro CIRI model. The levels of c-Myc and SRSF1, cell…
Checkpoint inhibitors, particularly programmed cell death-1/programmed death-ligand 1 (PD-1/PD-L1) inhibitors, have significantly advanced the treatment of Hodgkin lymphoma (HL), especially in relapsed or refractory cases. However, challenges such as resistance, immune-related adverse events (irAEs), and the need for effective patient selection remain. This review aims to explore the mechanisms of resistance to checkpoint inhibitors, including alterations in the tumor microenvironment, loss of antigen presentation, and T-cell exhaustion. Overcoming resistance may involve combination therapies, such as…
Eosinophils are multifunctional granulocytes that contribute to the initiation and modulation of inflammation. Accumulating evidence suggests that eosinophils are adaptable leukocytes that orchestrate the resolution of inflammatory responses. The most prevalent chronic inflammatory illness, rheumatoid arthritis (RA), is typified by persistent synovitis that makes it hard for the disease to go away on its own. Interestingly, a unique subset of eosinophils known as regulatory eosinophils has been found in RA patients’ synovium, especially while the
Mitochondria are central organelles in cellular metabolism, orchestrating energy production, biosynthetic pathways, and signaling networks. Nicotinamide adenine dinucleotide (NAD+) and its reduced form (NADH) are essential for mitochondrial metabolism, functioning both as redox coenzymes and as signaling agents that help regulate cellular balance. Thus, while its major role is in energy production, NAD+ is widely recognized as a metabolic cofactor and also serves as a substrate for various enzymes involved in cellular signaling, like sirtuins (SIRTs),…
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