Low-thermal argon plasma treatment activates anti-tumor responses through diverse mechanisms, including the generation of reactive oxygen and nitrogen species (RONS),...
On the Cover This study demonstrates a cost-effective and efficient strategy for fabricating high-hardness Ge₄₅As₄₀Se₁₅ chalcogenide glass by combining ball milling...
This paper presents the development of the Broad-scope Environment for Dual-phase advanced reactor Operation simulation Kit (BEDOK), an in-house nuclear reactor...
We are pleased to announce that the Canadian Journal of Urology (CJU) has received notification from Clarivate that it will be indexed in BIOSIS Citation Index, BIOSIS Previews, and Biological...
We are pleased to announce that Revue Internationale de Géomatique (ISSN: 2116-7060) has been accepted for inclusion in Scopus, a leading abstract and citation database of peer-reviewed literature.Scopus...
Large Vision-Language Models (LVLMs) have achieved strong performance in multimodal perception, understanding, and generation, but their ability to perform...
The development of accurate digital twin models of the human cornea is a key factor for planning and monitoring eye treatments and clinical supervision....
Due to the complex and dynamic nature of multi-phase interfaces, accurately capturing interface evolution remains one of the key challenges in multi-phase...
Obesity and metabolic syndrome promote malignancies through chronic inflammation and sustained activation of insulin and insulin-like growth factor-1...
Non-coding RNAs (ncRNAs) and cholesterol metabolism have independently been recognized as critical regulators of cancer progression. NcRNAs modulate various...
Despite the advancements achieved in chemotherapy, cancer continues to remain a formidable and lethal global threat, ranking as the second leading cause...
Connected automated driving increasingly relies on cooperative perception from onboard sensors, roadside units (RSUs), smart traffic lights, and vehicle-to-everything...
The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental...
Zinc substitution in Cd1−xZnxTe (CZT) alloys emerges as a powerful strategy for engineering their structural, elastic, mechanical, acoustic and thermal...
A lightweight flow-based intrusion detection system is proposed for identifying Mirai-based distributed denial-of-service attacks in Internet of Things...
In doped two-dimensional nanomaterials, magnetism is one of the important physical properties. By introducing foreign doping atoms or molecules, the electronic...
The integration of Deep Learning, Deep Reinforcement Learning, and massive Vision-Language-Action (VLA) foundation models has catalysed a profound paradigm...
Lung cancer in individuals who have never smoked (LCINS) represents a clinically and biologically distinct subset of non–small cell lung cancer, driven...
Breast cancer (BC) management has transitioned from histological classification to molecular subtyping, yet therapeutic resistance and intratumor heterogeneity...
Despite the use of targeted and/or immune-based therapeutic approaches, mortality rates among melanoma patients are high, mainly due to drug-induced resistance...
Flaviviruses, including Dengue, West Nile, Zika, and Japanese encephalitis viruses, are arthropod-borne RNA viruses that pose an increasing global health...
The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...
Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...
The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...
Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...
Large Vision-Language Models (LVLMs) have achieved strong performance in multimodal perception, understanding, and generation, but their ability to perform...
The development of accurate digital twin models of the human cornea is a key factor for planning and monitoring eye treatments and clinical supervision....
Due to the complex and dynamic nature of multi-phase interfaces, accurately capturing interface evolution remains one of the key challenges in multi-phase...
Obesity and metabolic syndrome promote malignancies through chronic inflammation and sustained activation of insulin and insulin-like growth factor-1...
Non-coding RNAs (ncRNAs) and cholesterol metabolism have independently been recognized as critical regulators of cancer progression. NcRNAs modulate various...
Despite the advancements achieved in chemotherapy, cancer continues to remain a formidable and lethal global threat, ranking as the second leading cause...
Connected automated driving increasingly relies on cooperative perception from onboard sensors, roadside units (RSUs), smart traffic lights, and vehicle-to-everything...
The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental...
Zinc substitution in Cd1−xZnxTe (CZT) alloys emerges as a powerful strategy for engineering their structural, elastic, mechanical, acoustic and thermal...
A lightweight flow-based intrusion detection system is proposed for identifying Mirai-based distributed denial-of-service attacks in Internet of Things...
In doped two-dimensional nanomaterials, magnetism is one of the important physical properties. By introducing foreign doping atoms or molecules, the electronic...
The integration of Deep Learning, Deep Reinforcement Learning, and massive Vision-Language-Action (VLA) foundation models has catalysed a profound paradigm...
Lung cancer in individuals who have never smoked (LCINS) represents a clinically and biologically distinct subset of non–small cell lung cancer, driven...
Breast cancer (BC) management has transitioned from histological classification to molecular subtyping, yet therapeutic resistance and intratumor heterogeneity...
Despite the use of targeted and/or immune-based therapeutic approaches, mortality rates among melanoma patients are high, mainly due to drug-induced resistance...
Flaviviruses, including Dengue, West Nile, Zika, and Japanese encephalitis viruses, are arthropod-borne RNA viruses that pose an increasing global health...
The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...
Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...
The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...
Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...
The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...
Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...
To address the issue of angular deviation in inclined single-axis photovoltaic tracking mounts during long-term operation-caused by wind disturbances, mechanical transmission gaps, installation inaccuracies, and environmental factors-a angle sensor based on reflective fiber-optic ranging principles has been developed for monitoring the rotation angle of the main shaft. This sensor employs a structural conversion approach of “using straight lines to replace curves”, transforming the shaft’s rotational angle into linear displacement of a mirror via a gear-rack…
In response to the common interlaminar shear and delamination defects in the pavement of long-span steel bridges, this paper investigates the interface fatigue failure mechanism of the “SMA-13 + epoxy resin + orthotropic steel plate” system. Static direct shear tests indicate that the optimal application rate of epoxy resin is 1.5 kg/m2, and that elevated temperatures cause the failure mode to transition from brittle fracture to ductile creep. Based on full-factorial dynamic shear fatigue tests, this…
To address the challenge that the baseline state of FE models for operational highly statically indeterminate bridges is difficult to evaluate accurately, this paper proposes an intelligent multi-parameter inversion and updating framework driven by measured dynamic strains and a LSTM neural network. First, to tackle the complex environmental interferences coupled within short-term monitoring strain signals, a moving-window baseline detrending and refined thermal effect decoupling algorithm is employed. This successfully strips away long-term dead loads and…
Based on three-component (E–N–Z) ambient vibration observations, this study investigates the dynamic characteristics of shallow subsurface conditions and their influence on the seismic response of a high-rise building in a complex urban environment. Ambient vibration measurements were conducted to characterize site dynamic properties and to explore their relationship with structural vibration behavior. Frequency, amplification factor, and site vulnerability index were extracted using the horizontal-to-vertical (H/V) spectral ratio method applied to ambient vibration records. An empirical…
Interfacial adhesion failure is the primary limiting factor in the long-term durability of epoxy-emulsified asphalt micro-surfacing pavements. However, while digital image correlation (DIC) has been extensively applied to evaluate the bulk fatigue of traditional hot-mix asphalt and concrete, its specific application to the complex bi-material interface between rigid concrete substrates and cold-mixed, thermosetting epoxy-asphalt overlays remains limited. Consequently, current research lacks real-time data on full-field strain evolution and the transitional damage localisation mechanisms during dynamic…
Differential settlement control in highway widening projects on soft soil remains a major challenge. This study investigates the mechanisms of differential settlement in widened embankments and develops an intelligent prediction framework by integrating high-fidelity numerical simulations with physics-constrained deep learning. First, comprehensive numerical simulations were performed using a Hardening Soil (HS) model considering structural degradation in PLAXIS 2D. This work revealed the redistribution of additional stress under widening loads and elucidated the evolution mechanisms of…
Noise barriers (NBs) play a significant role in reducing railway noise and preventing foreign-object intrusion. However, surface damage, corrosion, rust, missing components, and local deformation may gradually reduce their structural reliability and threaten railway operation safety. Because NB anomalies are diverse and defect samples are limited, it remains difficult to build a general detector using conventional supervised learning. To address this problem, this study proposes an unsupervised anomaly detection system for railway NBs using UAV…
The chloride ion penetration resistance of manufactured sand concrete (MSC) critically determines the durability of marine concrete structures. However, its accurate prediction is challenging due to high uncertainty from complex influencing factors. To address this, a back-propagation neural network model optimized by a hybrid Whale Optimization Algorithm and Adaptive Moment Estimation strategy (WOA-Adam-BPNN) was developed to predict the electrical flux. The model was trained and tested on 245 experimental datasets covering eight key parameters and…
Quality attainment in public construction projects is paramount for effective project management. This study employs Principal Component Analysis (PCA) in the initial phase to discern noncollinear critical defects from inspections across 1015 projects. The identified components are categorized into three aspects: Inspection Records and Occupational Safety and Health (Aspect I), Concrete Quality (Aspect II), and Construction Team Quality Management (Aspect III). Subsequently, a Multilayer Perceptron (MLP) network, trained on 13 PCA-identified critical defects, transforms input
To utilize waste clay bricks and reduce carbon emissions, recycled brick powder (RBP) was prepared from waste brick-concrete structures and used to produce alkali-activated slag-recycled brick powder foam concrete (ASRFC). This paper evaluated the impact of RBP replacement rates and water-binder ratio on the physical and mechanical properties of foam concrete, including its thermal conductivity, strength, and pore structure. The results demonstrated that the addition of 10% RBP resulted in decreases in the apparent density…
The fully grouted sleeve connection is a key joint type in precast concrete structures. Its mechanical performance after high-temperature exposure is critical for the post-fire safety assessment of these structures. This paper experimentally investigates the influence of different peak temperatures on the tensile performance of fully grouted sleeve connections. A total of 36 fully grouted sleeve specimens, 36 single rebar specimens, and their corresponding grout cubes were prepared. All specimens were heated to the target…
This paper introduces a novel external prestressing system specifically designed for strengthening hollow slab beams. To validate the system’s feasibility and isolate flexural behavior from interface slip effects, experimental investigations were conducted on monolithically cast specimens representing an idealized, fully bonded state. By integrating theoretical analysis, experimental testing, and finite-element numerical simulation, the study examines the mechanical behavior and design principles of the proposed configuration. Results indicate that the stress development process of the externally…
The grouting sleeves in prefabricated structures critically depend on the strength development of the grout; however, existing non-destructive testing methods struggle to capture its time-dependent evolution. This study proposes a hybrid prediction framework that combines the Synthetic Aperture Focusing Technique (SAFT) with a hyperparameter-optimized XGBoost model. Ultrasonic signals were collected at five curing stages (0, 1, 3, 7, and 28 days), from which SAFT-derived features and the area ratios of six color regions were extracted…
Temperature action is a primary environmental load that infrastructure endures during long-term service, and it is also one of the key causes of structural performance deterioration. With global warming and the increasing frequency of extreme weather, the temperature actions on structures are becoming increasingly complex and severe. Whether current design codes can adapt to environmental climate changes, particularly regarding how to effectively respond to the impact of extreme temperatures, has become a critical concern in…
In this study, an energy-consistent analytical–numerical framework is proposed to determine the effective shear correction factor for non-homogeneous cross-sections within the Timoshenko beam theory, such as a porous cementitious matrix (e.g., perlite-based material) combined with an embedded steel I-section. The formulation enforces equivalence between the real heterogeneous shear strain energy, governed by a spatial shear modulus field , and its beam-theory representation based on . A pixel/voxel discretization is introduced to…
Spherical hinges are critical load-bearing components in swing bridges, yet their complex contact friction behavior remains insufficiently investigated due to material and contact nonlinearities. Conventional parametric analysis based solely on finite element simulations suffers from low computational efficiency and limited consideration of multi-parameter coupling. In this study, a refined finite element model of an actual multi-lane swing bridge is established, and a support vector regression (SVR) metamodel is developed to efficiently predict contact stress distribution…
Guest Editors: Hung-Yu Lin; Hsing-Ju Wu Deadline: 31 May 2027
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Guest Editors: Wenlong Sun; Mengyao Li Deadline: 31 March 2027
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Guest Editors: Denise Mafra; Jessyca Sousa de Brito Deadline: 31 January 2027
Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026
Guest Editors: Hung-Yu Lin Deadline: 31 December 2026
Guest Editors: Hoon Ko; Marek R. Ogiela Deadline: 31 December 2026
Guest Editors: Víctor García Deadline: 31 December 2026
Guest Editors: Dawei Jiang; Miaojun Xu; Bo Jiang; Zijian Wu Deadline: 31 December 2026






