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,...
The development of sustainable materials has encouraged the use of biopolymers as alternatives to synthetic polymers. Polymeric films have stood out for their high potential in environmentally sustainable applications. Conventional cellulose acetate (CA)-based films are attractive due to their biodegradability and film-forming ability. However, their functional performance often requires enhancement through the incorporation of additives. In this context, two bio-based additives were investigated: condensed tannin (0%, 5% and 10%wt.), a natural polyphenol known for its…
Heat treatment is applied to wood to improve various properties of the material. The present study focuses on the colour changes of wood veneer samples due to heat treatment. Native wood species from Japan and Europe, such as Japanese oak (Quercus mongolica var. crispula), field maple (Acer campestre) and Scots pine (Pinus sylvestris) were used in the experiments. A laboratory-type oven was used to apply the heat at a temperature of 190°C, in the presence of oxygen, for…
Lignin, the most abundant natural aromatic polymer globally, has garnered considerable interest due to its rich and diverse active functional groups and its antioxidant, antimicrobial, and adhesive properties. Recent research has significantly improved the performance of lignin-based hydrogels, suggesting their substantial potential in fields such as biomedicine, environmental science, and agriculture. This paper reviews the process of lignin extraction, systematically introduces synthesis strategies for preparing lignin-based hydrogels, and discusses the current state of research on
This review draws attention to the innovative use of arrowroot (Maranta arundinacea) fiber as a unique and underutilized biomass source for nanocrystalline cellulose (NCC)-based nanocomposites, presenting a noteworthy alternative to extensively researched materials like wood pulp, bacterial cellulose, and chemically modified NCCs. In contrast to traditional sources, arrowroot possesses a naturally elevated cellulose and diminished lignin content, facilitating more effective NCC extraction requiring reduced chemical input and enabling environmentally friendly processing techniques. The review evaluates the
Eucalyptus staigeriana essential oil (EsEO) has well-known anthelmintic activity in small ruminants. However, its volatility limits its therapeutic action. The aim of this study was to develop a water-in-oil sodium alginate-based nanoemulsion with an effective in vitro effect on the eggs and larvae of Haemonchus contortus, a gastrointestinal parasite of sheep and goats. Four oil-in-water sodium alginate-based emulsions were prepared using a high-energy method with different proportions of Tween 80, EsEO, and sodium alginate (ALG) 4%. The physical-chemical…
Melt blending of biodegradable polyesters such as poly (lactic acid) (PLA) and poly (butylene adipate co-terephthalate) (PBAT) with a compatibilizer and natural filler offers a chance to develop biodegradable bio-composites with improved performance. In this study, we examined how PLA/PBAT blends behave during ultimate biodegradation (mineralization), both with and without compatibilizer and algae as a reinforcement, under controlled composting conditions using carbon dioxide (CO2) respirometry techniques. Throughout the biodegradation process, the disintegration behaviour, thermal, chemical, and…
This study investigates the potential of starch extracted from underutilized agro-industrial resources as non-food-competing raw materials for the development of flexible bioplastics for food packaging applications. Starch was extracted from three biomass sources: rubber cassava (Manihot glaziovii), banana stem, and banana peel from Ambonese banana (Musa acuminata L.). Rubber cassava starch (SRC) exhibited the highest starch yield (50.68 ± 0.28%), significantly surpassing banana stem (SBS, 14.20 ± 0.25%) and banana peel (SBP, 3.07 ± 0.15%). The amylose contents of…
The growing demand for renewable energy has increased the use of wood pellets as a clean and efficient biomass fuel. This study aims to evaluate the physical properties of wood pellets produced from Acacia hybrid (AC) veneer waste and Pine wood (PW) waste mixed with varying ratios. The objectives are to investigate the effect of different blend ratios of Acacia hybrid veneer waste and pine wood waste on the physical properties, specifically moisture content, density, and pellet…
The increasing occurrence of corrosion-related damage in steel pipelines has led to the growing use of composite-based repair techniques as an efficient alternative to traditional replacement methods. Computer modeling and structural analysis were performed for the repair reinforcement of a steel pipeline with a composite bandage. A preliminary analysis of possible contact interaction schemes was implemented based on the theory of cylindrical shells, taking into account transverse shear deformations. The finite element method was used…
Researchers are increasingly focused on enabling groups of multiple unmanned vehicles to operate cohesively in complex, real-world environments, where coordinated formation control and obstacle avoidance are essential for executing sophisticated collective tasks. This paper presents a Distributed Formation Control and Obstacle Avoidance (DFCOA) framework for multi-unmanned ground vehicles (UGV). DFCOA integrates a virtual leader structure for global guidance, an improved A* path planning algorithm with an advanced cost function for efficient path planning, and a…
Wind turbine blade defect detection faces persistent challenges in separating small, low-contrast surface faults from complex backgrounds while maintaining reliability under variable illumination and viewpoints. Conventional image-processing pipelines struggle with scalability and robustness, and recent deep learning methods remain sensitive to class imbalance and acquisition variability. This paper introduces TurbineBladeDetNet, a convolutional architecture combining dual-attention mechanisms with multi-path feature extraction for detecting five distinct blade fault types. Our approach employs both channel-wise and spatial attention…
An efficient data-driven numerical framework is developed for transient heat conduction analysis in thin-walled structures. The proposed approach integrates spectral time discretization with neural network approximation, forming a spectral-integrated neural network (SINN) scheme tailored for problems characterized by long-time evolution. Temporal derivatives are treated through a spectral integration strategy based on orthogonal polynomial expansions, which significantly alleviates stability constraints associated with conventional time-marching schemes. A fully connected neural network is employed to approximate the temperature-related…
Inspections of power transmission lines (PTLs) conducted using unmanned aerial vehicles (UAVs) are complicated by the fine structure of the lines and complex backgrounds, making accurate and efficient segmentation challenging. This study presents the Wavelet-Guided Transformer U-Net (WGT-UNet) model, a new hybrid network that combines Convolutional Neural Networks (CNNs), Discrete Wavelet Transform (DWT), and Transformer architectures. The model’s primary contribution is based on spatial and channel attention mechanisms derived from wavelet subbands to guide the…
To address the issue of scarce labeled samples and operational condition variations that degrade the accuracy of fault diagnosis models in variable-condition gearbox fault diagnosis, this paper proposes a semi-supervised masked contrastive learning and domain adaptation (SSMCL-DA) method for gearbox fault diagnosis under variable conditions. Initially, during the unsupervised pre-training phase, a dual signal augmentation strategy is devised, which simultaneously applies random masking in the time domain and random scaling in the frequency domain to…
Most Convolutional Neural Network (CNN) interpretation techniques visualize only the dominant cues that the model relies on, but there is no guarantee that these represent all the evidence the model uses for classification. This limitation becomes critical when hidden secondary cues—potentially more meaningful than the visualized ones—remain undiscovered. This study introduces CasCAM (Cascaded Class Activation Mapping) to address this fundamental limitation through counterfactual reasoning. By asking “if this dominant cue were absent, what other evidence
A high-order hybrid numerical framework is developed by coupling a three-stage exponential time integrator with a Runge–Kutta scheme for the efficient solution of partial differential equations involving first-order time derivatives. The proposed scheme attains third-order temporal accuracy and is rigorously validated through stability and convergence analyses for both scalar and coupled systems. Its effectiveness is demonstrated by simulating unsteady Eyring-Prandtl non-Newtonian nanofluid flow over a Riga plate with coupled heat and mass transfer under electromagnetic…
Guest Editors: Fátima Martel Deadline: 30 November 2026
Guest Editors: Emilio Cervantes Deadline: 31 October 2026
Guest Editors: Maria Letizia Motti; Immacolata Belviso Deadline: 31 October 2026
Guest Editors: Batyrkhan Omarov; Daniyar Sultan; Bakhytzhan Kulambayev Deadline: 30 October 2026
Guest Editors: Daniel-Ioan Curiac; Dan Pescaru Deadline: 15 October 2026
Guest Editors: Barmak Honarvar Shakibaei Asli Deadline: 01 October 2026
Guest Editors: Antonella Petrillo; Fabio De Felice Deadline: 30 September 2026
Guest Editors: Sergio Cassese; Giuseppe Gallo Deadline: 30 September 2026
Guest Editors: Wenfeng Zheng; Lirong Yin; Shan Liu Deadline: 31 August 2026
Guest Editors: Mohammad Shokouhifar; Frank Werner Deadline: 31 August 2026
Guest Editors: Dulf Eva-H.; Kovacs Levente; Denes-Fazakas Lehel; Pintea Paul-Andrei Deadline: 31 August 2026
Guest Editors: Hoon Ko; Marek R. Ogiela Deadline: 31 July 2026
Guest Editors: Jevier Bermejo Higuera; Juan Ramón Bermejo Higuera Deadline: 31 July 2026
Guest Editors: Shyi-Chyi Cheng; Naomi A. Ubina Deadline: 31 July 2026
Guest Editors: Consolato M. Sergi Deadline: 30 June 2026
Guest Editors: Snježana Kaštelan; Ivica Lukšić; Jelena Juri Mandić; Matija... Deadline: 30 June 2026






