This survey presents a comprehensive review of adversarial reinforcement learning (ARL) techniques for intrusion detection in Internet of Things (IoT) environments....
This study presents a novel wind barrier based on the Tesla valve concept, developed to improve the aerodynamic safety of high-speed trains exposed to extreme crosswind...
This picture compares the performance of proline dehydrogenase gene-modified wheat with wild-type under drought stress. Under normal conditions, both grow similarly....
Gratitude, Growth, and Global Engagement The Canadian Journal of Urology (CJU) is pleased to share its 2025 annual highlights. Over the past year, the journal has maintained steady growth,...
Bangkok, Thailand | January 26–28, 2026 — Tech Science Press is pleased to share that John Chen, Director of Development, represented the company at the Charleston Asia Conference, where...
Quantitative analysis of aluminum-silicon (Al-Si) alloy microstructure is crucial for evaluating and controlling alloy performance. Conventional analysis...
Internet of Things (IoTs) devices are bringing about a revolutionary change our society by enabling connectivity regardless of time and location. However,...
Ultra-high-strength aluminum alloy profile is an ideal choice for aerospace structural materials due to its excellent specific strength and corrosion...
Adversarial Reinforcement Learning (ARL) models for intelligent devices and Network Intrusion Detection Systems (NIDS) improve system resilience against...
Predicting the precise impacts of climate change on extreme winds remains challenging, yet strong storms are widely expected to occur more frequently...
For hypersonic air-breathing vehicles, the V-shaped leading edges (VSLEs) of supersonic combustion ramjet (scramjet) inlets experience complex shock interactions...
Background: Mental health concerns among doctoral students have become increasingly prominent, with consistently low levels of well-being making this...
Background: Bullying is a current social and educational problem with detrimental consequences in adolescence and later life stages. Previous research...
Inverse design of advanced materials represents a pivotal challenge in materials science. Leveraging the latent space of Variational Autoencoders (VAEs)...
Predicting the behavior of renewable energy systems requires models capable of generating accurate forecasts from limited historical data, a challenge...
In the pursuit of carbon peaking and neutrality goals, multi-energy parks, as major energy consumers and carbon emitters, urgently require low-carbon...
Decarbonising the building sector, particularly residential heating, represents a critical challenge for achieving carbon-neutral energy systems. Efficient...
Neutrophil extracellular trap (NET) formation or NETosis is a specialized innate immune process in which neutrophils release chromatin fibers decorated...
Stem cell fate decisions are increasingly understood through the dynamic interplay of two fundamental stress-adaptive programs: the integrated stress...
Objectives: Immunotherapy based on immune checkpoint blockade (ICB) has become a key treatment for melanoma. However, the increasing number of cases of...
Background: Photodynamic therapy (PDT) may eradicate residual malignant cells following sarcoma resection, through reactive oxygen species (ROS) mediated...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
This theme captures the essence of advanced technologies (AI, machine learning, big data), modern applications (climate change, smart cities, health research),...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
This special issue seeks original research and review articles on the roles of γδ T cells and invariant natural killer T (iNKT) cells in malignancies....
The mobile internet has revolutionized our daily lives, providing continuous connectivity, communication, and access to a wide range of services and applications...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Quantitative analysis of aluminum-silicon (Al-Si) alloy microstructure is crucial for evaluating and controlling alloy performance. Conventional analysis...
Internet of Things (IoTs) devices are bringing about a revolutionary change our society by enabling connectivity regardless of time and location. However,...
Ultra-high-strength aluminum alloy profile is an ideal choice for aerospace structural materials due to its excellent specific strength and corrosion...
Adversarial Reinforcement Learning (ARL) models for intelligent devices and Network Intrusion Detection Systems (NIDS) improve system resilience against...
Predicting the precise impacts of climate change on extreme winds remains challenging, yet strong storms are widely expected to occur more frequently...
For hypersonic air-breathing vehicles, the V-shaped leading edges (VSLEs) of supersonic combustion ramjet (scramjet) inlets experience complex shock interactions...
Background: Mental health concerns among doctoral students have become increasingly prominent, with consistently low levels of well-being making this...
Background: Bullying is a current social and educational problem with detrimental consequences in adolescence and later life stages. Previous research...
Inverse design of advanced materials represents a pivotal challenge in materials science. Leveraging the latent space of Variational Autoencoders (VAEs)...
Predicting the behavior of renewable energy systems requires models capable of generating accurate forecasts from limited historical data, a challenge...
In the pursuit of carbon peaking and neutrality goals, multi-energy parks, as major energy consumers and carbon emitters, urgently require low-carbon...
Decarbonising the building sector, particularly residential heating, represents a critical challenge for achieving carbon-neutral energy systems. Efficient...
Neutrophil extracellular trap (NET) formation or NETosis is a specialized innate immune process in which neutrophils release chromatin fibers decorated...
Stem cell fate decisions are increasingly understood through the dynamic interplay of two fundamental stress-adaptive programs: the integrated stress...
Objectives: Immunotherapy based on immune checkpoint blockade (ICB) has become a key treatment for melanoma. However, the increasing number of cases of...
Background: Photodynamic therapy (PDT) may eradicate residual malignant cells following sarcoma resection, through reactive oxygen species (ROS) mediated...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...
In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...
This theme captures the essence of advanced technologies (AI, machine learning, big data), modern applications (climate change, smart cities, health research),...
The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...
This special issue seeks original research and review articles on the roles of γδ T cells and invariant natural killer T (iNKT) cells in malignancies....
The mobile internet has revolutionized our daily lives, providing continuous connectivity, communication, and access to a wide range of services and applications...
Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...
Objective: Tumor-associated macrophages (TAMs) contribute to chemoresistance in triple-negative breast cancer (TNBC), yet strategies to reprogram TAMs while enhancing chemotherapy efficacy remain limited. This study investigated whether Viscum album L. var. coloratum agglutinin (VCA) could sensitize TNBC cells to doxorubicin (DOX) and modulate TAM-mediated chemoresistance in three-dimensional (3D) co-culture models. Methods: MDA-MB-231 TNBC cells were co-cultured with RAW264.7 macrophages in collagen-embedded 3D spheroids. Spheroid viability was assessed using an ATP-based luminescent assay. Cytokine secretion and epithelial-mesenchymal transition…
Objectives: The discovery of novel molecular targets to enhance the osteogenesis of human bone marrow-derived mesenchymal stem cells (H-BMSCs) represents a promising strategy for preventing and treating osteoporosis. Thus, the primary objective of this study is to elucidate the mechanisms by which long non-coding RNA FOXD2-AS1 (lncRNA FOXD2-AS1) regulates early osteogenic differentiation in H-BMSCs, thereby identifying potential therapeutic targets. Methods: Lentivirus-mediated vectors were constructed to either overexpress or silence FOXD2-AS1 in H-BMSCs. The effects of…
Objectives: Chronic lymphocytic leukemia (CLL) is characterized by progressive immune dysregulation. Invariant natural killer T (iNKT) cells support immune surveillance, but the clinical relevance of their regulatory subsets remains unclear. FoxP3+ regulatory iNKT cells (iNKTreg) and E4BP4+IL-10+ (iNKT10) cells may reflect immunoregulatory changes associated with disease progression. The study aimed to quantify circulating iNKTreg and iNKT10 subsets and monocytic myeloid-derived suppressor cells (M-MDSCs) in treatment-naïve CLL patients and evaluate their associations with disease characteristics and time…
Mitochondria are central regulators of cellular energy metabolism, redox balance, and survival, and their dysfunction contributes to neurodegenerative, cardiovascular, and metabolic diseases, as well as aging. Beyond its role as a circadian hormone, melatonin is now recognized as a key modulator of mitochondrial physiology. This review provides an overview of the mechanisms by which melatonin can preserve mitochondrial function through multifaceted mechanisms. Experimental evidence shows that melatonin enhances the activity of electron transport chain (ETC)…
Objectives: Glioblastoma multiforme (GBM) is highly resistant to apoptosis. This study investigates the role of Selenoprotein M (SELENOM), a redox-regulating protein, in the response of human glioblastoma A-172 cells to staurosporine (STS) and hyperthermia. Methods: A stable SELENOM-knockdown (SELENOM-KD) cell line was created. We measured reactive oxygen species (ROS), mitochondrial membrane potential (ΔΨm), cell death, and apoptotic gene expression. Results: SELENOM-KD increased basal ROS levels and induced mitochondrial dysfunction. It sensitized cells to STS-induced apoptosis, enhancing
Objectives: Neutrophil extracellular traps (NETs) have emerged as critical effectors in immune defense but also as potential drivers of tissue damage in chronic inflammatory diseases. Their role in periodontitis, a highly prevalent condition characterized by dysregulated host–microbe interactions, remains incompletely defined. This systematic review aimed to synthesize, for the first time, ex vivo human evidence on the presence, activity, and clinical significance of NETs in periodontitis. Methods: A comprehensive search of Medline, Web of Science, and…
The paradigm of cancer treatment has been reshaped by chimeric antigen receptor (CAR) αβ T cell therapy, yet its full potential remains constrained by fundamental limitations. While conventional CAR αβ T cells have achieved notable success in hematological malignancies, their broader application is hindered by the high cost and delays of autologous manufacturing, as well as the critical risk of graft-vs-host disease (GvHD). In addition, their efficacy against solid tumors is often compromised by the…
Gamma delta (γδ) T cells and invariant natural killer T (iNKT) cells are unconventional T cells with limited T cell receptor (TCR) diversity. Both can recognize lipid or non-peptide antigens, often through cluster of differentiation 1d (CD1d), rapidly produce cytokines, express natural killer (NK) cell markers, and are mainly found in mucosal and barrier tissues. Acting as a bridge between innate and adaptive immunity, they show great promise for cancer immunotherapy. Developing γδ T and…
As natural killer (NK) cells eliminate cancer cells and virus-infected cells, as well as modulate various other medical conditions, including aging-associated conditions such as neurodegenerative disorders, understanding NK cell regulation is of considerable clinical importance. This article reviews the role of circadian processes (melatonin and the cortisol system), aryl hydrocarbon receptor, and vagal nerve in the modulation of NK cell function, highlighting the importance of the endogenous mitochondrial melatonergic pathway in NK cells. As circadian…
Atherosclerosis, characterized by the formation of fibrofatty lesions in the arterial wall, remains a leading cause of global morbidity and mortality. Emerging evidence highlights the critical regulatory roles of long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) in atherogenesis. LncRNAs can function as competing endogenous RNAs (ceRNAs) by sponging miRNAs, thereby modulating the expression of downstream target mRNAs. This review summarizes current knowledge on lncRNA-miRNA-mRNA regulatory networks and their functional roles in the three major cell…
Objectives: Therapeutic strategies for enhancing bone regeneration and combating osteoporosis remain a significant unmet medical need. This study aims to elucidate Lithospermic acid (LA)’s regulatory effects on osteoblast proliferation and differentiation, investigating its viability as a bone-healing agent. Methods: This study employed various cellular and molecular biology experiments to assess the effects of LA on the viability, proliferation, cell cycle, apoptosis, differentiation, mineralization, and migration of MC3T3-E1 osteoblasts. Immunofluorescence and Western blot analyses were conducted…
Objectives: Dysregulated osteoclast function contributes to skeletal diseases. However, the specific ubiquitination regulators of the osteoclastogenesis repressor MafB, particularly at the post-translational level, remain undefined. This study aims to identify ubiquitin-specific proteases (USPs) that deubiquitinate MafB and enhance its stability. Methods: We constructed a MafB-conjugated luciferase and overexpressed 40 individual USPs, measuring changes in luciferase activity. The identified USP was overexpressed in human CD14+ peripheral blood mononuclear cells (PBMCs) to evaluate its effect. Osteoclast differentiation was…
As education continues to evolve alongside artificial intelligence, there is growing interest in how large language models (LLMs) can support more personalized and intelligent learning experiences. This study focuses on building a domain-specific question answering (QA) system tailored to computer science education, with a particular emphasis on Java programming. While transformer-based models such as BERT, RoBERTa, and DistilBERT have demonstrated strong performance on general-purpose datasets like SQuAD, they often struggle with technical educational content where…
Math-inspired metaheuristic algorithms stand out with their simple algorithm structures and the inclusion of fewer control parameters. In this study, the recently proposed math-inspired Quadratic Interpolation Optimization (QIO) algorithm was improved as a clustering-based algorithm and then applied to retinal vessel segmentation. Afterwards, its performance was compared with the math-inspired Sine Cosine Algorithm (SCA) and Arithmetic Optimization Algorithm (AOA), which have been frequently applied to engineering problems. First, the performance of the QIO algorithm was…
This paper presents a comprehensive investigation into the development and evaluation of Convolutional Neural Network (CNN) models for limited-vocabulary spoken word classification, a fundamental component of many voice-controlled systems. Two distinct CNN architectures are examined: a timeseries 1D CNN that operates directly on the temporal waveform samples of the audio signal, and a 2D CNN that leverages the richer time–frequency representation provided by spectrograms. The study systematically analyzes the influence of key architectural and training…
Background: The expression of the interleukin-6 (IL-6) gene promoter and its variations in postmenopausal women of Javanese ethnicity remains unexplored. This study aimed to examine IL-6 promoter polymorphisms at positions -174G/C, -572G/C, -597A/G, and -634C/G and their associations to osteoporosis status in Javanese postmenopausal women. Methods: A cross-sectional study was conducted at an elderly integrated service post in Sidoarjo, Indonesia. Among 699 screened individuals, 66 postmenopausal women fulfilled the inclusion and exclusion criteria. Bone mineral…
Guest Editors: Fátima Martel Deadline: 30 November 2026
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Guest Editors: Snježana Kaštelan; Ivica Lukšić; Jelena Juri Mandić; Matija... Deadline: 30 June 2026






