This study demonstrates the valorization of sugarcane bagasse ash as a bio-based filler in cassava starch foam trays produced via thermopressing. Bagasse ash significantly...
This study provides a large-scale evaluation of surgical outcomes for urinary stone disease across different age groups, focusing on patients undergoing ureteroscopy...
This cover story illustrates a hybrid quantum-kernel and quantum-inspired machine learning framework for the early warning of Telephony Denial of Service (TDoS)...
Tech Science Press (TSP) is pleased to announce that five of its journals have been included in China’s 2025 list of the world’s leading science and technology journals. The five TSP journals...
The Canadian Journal of Urology (CJU) officially became a DOAJ (Directory of Open Access Journals)-indexed journal on 03 September 2026, marking another important milestone in the journal’s...
Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural...
The fusion of GNNs and SSMs is creating a new era in the realm of dynamical learning with structures. Graph-Mamba is one of the most promising works in...
Autonomous navigation poses a key challenge in Artificial Intelligence (AI), necessitating agents to plan and execute actions in complex, partially visible...
Large Language Models (LLMs) have rapidly evolved into general-purpose systems with broad applicability across information access, reasoning, decision...
Lattice-based post-quantum cryptographic standards such as Module-Lattice Key Encapsulation Mechanism (ML-KEM) and Module-Lattice-Based Digital Signature...
Increasing digitalization exposes critical infrastructure to sophisticated cyber threats, requiring new approaches to improving security and resilience....
Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced...
The design of steel and alloy materials is of critical importance across a wide range of industrial applications; however, effective intelligent agent-based...
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...
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...
Welcome to the Special Issue on "Modeling and Applications of Bubbles and Droplets in Engineering and Sciences". This fascinating field...
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...
Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...
Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural...
The fusion of GNNs and SSMs is creating a new era in the realm of dynamical learning with structures. Graph-Mamba is one of the most promising works in...
Autonomous navigation poses a key challenge in Artificial Intelligence (AI), necessitating agents to plan and execute actions in complex, partially visible...
Large Language Models (LLMs) have rapidly evolved into general-purpose systems with broad applicability across information access, reasoning, decision...
Lattice-based post-quantum cryptographic standards such as Module-Lattice Key Encapsulation Mechanism (ML-KEM) and Module-Lattice-Based Digital Signature...
Increasing digitalization exposes critical infrastructure to sophisticated cyber threats, requiring new approaches to improving security and resilience....
Semiconductors represent the most complex production activities and stand at the forefront of smart manufacturing. In particular, the yield of advanced...
The design of steel and alloy materials is of critical importance across a wide range of industrial applications; however, effective intelligent agent-based...
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...
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...
Welcome to the Special Issue on "Modeling and Applications of Bubbles and Droplets in Engineering and Sciences". This fascinating field...
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...
Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...
Large language models and retrieval-augmented generation (RAG) systems are increasingly employed to transform evidence into decision-facing briefings, alerts, and recommendations. In these settings, explainability cannot be evaluated merely by fluency, readability, or factual correctness. A briefing may be factually correct while still being unsafe if it cites sources that do not substantiate the claim, suppresses uncertainty, converts correlational evidence into causal language, recommends an unauthorized action, or leaves no auditable path for human review. This…
Complex networks in cyber–physical, transportation, and information infrastructures operate under topology variations, unmeasured disturbances, and limited actuation. This paper proposes robust disturbance-aware data-driven decision control (R-D3C), which couples a sliding-window graph-regularized estimator, disturbance-envelope adaptation, sparse intervention allocation, receding-horizon optimization, and a robust safety projection. The theory directly bounds the dynamic prediction regret of the implemented sliding-window estimator. A checkable sufficient condition for safety-filter feasibility is coupled with an explicit slack-and-backup fallback when the strict projection
Speaker verification on phones, wearables, and voice-enabled Internet-of-Things gateways must balance local privacy with reliable decisions under adverse audio. Existing privacy-preserving verification schemes generally protect a fixed representation, whereas edge-offloading policies usually adapt computation without attaching an explicit feature-disclosure budget; neither line alone coordinates trial uncertainty, communication state, and privacy expenditure. This paper presents privacy-preserving uncertainty-aware adaptive feature offloading (P-UAFO), an edge-intelligence framework that keeps raw audio local and transmits only clipped, projected, quantized, and…
Autonomous mobile robots increasingly rely on three tightly coupled capabilities: low-latency wireless connectivity, edge-side compute acceleration, and simulation-based pre-training of perception and control models. Each has been studied extensively in isolation, but their joint deployment on a single platform remains rare. This paper presents an integrated framework combining a private 5G Stand-Alone (5G SA) access network, a Multi-Access Edge Computing (MEC) layer with adaptive offloading, and a digital-twin training pipeline in NVIDIA Omniverse Isaac Sim.…
On-chain risky address identification is an important task in blockchain security analysis and digital asset risk management. In practical on-chain risk control, however, risky addresses are usually far fewer than benign ones. Fund flows also follow complex propagation paths and strict temporal orders, which makes it difficult for existing methods to handle class imbalance, structural semantic modeling, and information leakage under temporal split settings at the same time. To address these challenges, this paper proposes…
Mobile edge services require deterministic communication across Time-Sensitive Networking (TSN) and 5G access, where the standardized integration architecture exposes the 5G System (5GS) to the TSN controller as a logical bridge. We study dynamic admission of time-triggered (TT) flows using reported 5GS bridge delay and TSN-to-5GS Quality of Service (QoS) mapping in route selection and Gate Control List (GCL) scheduling. Arrivals and departures can split available transmission time into noncontiguous windows. Online insertion preserves admitted…
Wireless sensor networks (WSNs) and Internet of Things (IoT) systems require lightweight cryptographic primitives that provide strong security under strict constraints on area, latency, and timing predictability. Ascon, selected by National Institute of Standards and Technology (NIST) as the standard for lightweight authenticated encryption, is well suited for such environments, yet application-oriented hardware implementations for WSN platforms remain underexplored. This paper presents a comprehensive evaluation of field programmable gate array (FPGA)-based Ascon architectures for secure…
Cross-view geo-localization (CVGL) estimates the location of a street-level image by retrieving its matching GPS-tagged satellite tile. Semi-supervised methods reduce the need for dense annotations by mining pseudo labels, but most of them keep only one positive reference for each query. In real-world galleries, several overlapping satellite tiles may cover the same ground location. As a result, valid matches can be discarded as negatives, which gives the model conflicting supervision. To address this problem, we…
Hot-section nickel-based single-crystal superalloy components under isothermal cyclic loading often exhibit systematic life shifts when datasets span different stress ratios and notch severities, making it difficult to maintain a globally consistent parameter set using conventional models. Because the effects of temperature, stress ratio, and stress concentration on cyclic response and damage evolution are typically nonlinear and coupled, this study proposes a multi-level equivalent driving force framework for fatigue life prediction, in which condition-induced life differences…
The Spherical Asymmetric Traveling Salesman Problem (SATSP), characterized by spherical geometry and direction-dependent travel costs, is a challenging combinatorial optimization problem, particularly in large-dimensional scenarios. Although the recently proposed Crested Porcupine Optimizer (CPO) has shown promising performance in continuous optimization, its applicability to discrete asymmetric routing problems remains largely unexplored. To address this limitation, we propose a Discrete Crested Porcupine Optimizer (DCPO), which integrates a discrete solution representation with dual crossover operators, namely order crossover…
Knowledge graphs organize real-world facts as structured triples and have become a fundamental resource for search engines, question answering, recommender systems, and knowledge-enhanced large language models. However, real-world knowledge graphs remain highly incomplete, which limits their downstream reasoning ability. Existing pre-trained language model-based knowledge graph completion methods provide strong textual semantic representations, but they usually model graph structure only as shallow auxiliary features and remain weak in distinguishing structurally similar entities and topology-near negative samples.…
Designing two-dimensional anisotropic mechanical metamaterial unit cells from prescribed effective properties remains a challenging inverse problem, particularly when directional stiffness and material usage need to be controlled simultaneously. In this work, a data-driven conditional diffusion framework is developed for generating unit-cell structures with target effective elastic moduli and volume fractions. A structure–property database containing 57,000 binary unit-cell images is first established through a random target-property-driven inverse homogenization method. The effective elastic moduli in the x and…
Multimodal Emotion Recognition in Conversations (MERC) has garnered substantial research attention recently. Existing MERC methods face several challenges: (1) they apply shared or coarse-grained graph construction rules across modalities, overlooking their distinct dependency patterns; (2) they rely on fixed-activation MLPs for feature transformation, limiting nonlinear representation capacity in complex emotional scenarios; (3) they focus predominantly on contextual modeling while underexploring local emotion discrimination between related utterances. To address these issues, we propose Joint Differentiated Modality-Aware…
In order to mimic the thermal properties of various natural fibers, this research presents a novel prediction framework that combines Fuzzy Logic (FL) with Grey Wolf Optimization (GWO). While the GWO technique ensures mathematical correctness by fine-tuning membership function parameters, this research uses a hybrid fuzzy model to outline nonlinear relationships between fiber components and thermal performance, which significantly reduces the need for extensive, trial-and-error laboratory testing. In this study, moisture, cellulose, and hemicellulose levels…
Biomedical texts naturally contain multiple biological and medical concepts within a document, resulting in a semantically rich and complex structure. Consequently, multi-label text classification (MLTC) has become a suitable framework for comprehensively modeling biomedical texts, including clinical reports, laboratory records, and scientific abstracts. However, relying solely on contextual language representations may be insufficient to explicitly reflect the broader scientific focus and conceptual orientation of a document. In this study, the MLTC problem in the biomedical…
Intelligent transportation systems, a critical pillar for smart cities, enable real-time vehicular communications to prevent human errors and improve traffic safety and efficiency. However, the open and highly dynamic nature of vehicular networks exposes them to various security threats, including message tampering, impersonation, and privacy violations. Several authentication and key agreement (AKA) protocols have been proposed to mitigate these risks, but often fail to maintain future-proof security against emerging quantum threats or introduce significant latency…
Guest Editors: Van-Tu Nguyen; Ould el Moctar; Anh Dinh Le; Hemant J. Sagar Deadline: 30 September 2027
Guest Editors: Jin-Gyun Kim; Hee-Sun Choi; Seongji Han Deadline: 30 September 2027
Guest Editors: Hung-Yu Lin; Hsing-Ju Wu Deadline: 31 May 2027
Guest Editors: Carlos Vargas-Salgado; Dácil Diaz-Bello Deadline: 30 April 2027
Guest Editors: Leonardo Di G. Sigalotti; Carlos A. Vargas; Carlos E. Alvarado-Rodríguez Deadline: 30 April 2027
Guest Editors: Sabrina Tosi; Annabelle Lewis Deadline: 30 April 2027
Guest Editors: Wenlong Sun; Mengyao Li Deadline: 31 March 2027
Guest Editors: Wenbing Zhao; Pan Wang Deadline: 31 March 2027
Guest Editors: Wenfeng Zheng; Choon Kit Chan; Kyungtae Kang; Chao Liu Deadline: 31 March 2027
Guest Editors: Joanna Zawitkowska; Małgorzata Mitura-Lesiuk; Maciej Dubaj Deadline: 28 February 2027
Guest Editors: Wenfeng Zheng; Lirong Yin; Shan Liu Deadline: 15 February 2027
Guest Editors: Wei-Chiang Hong; Yi Liang; Ming-Wei Li; Zhong-Yi Yang Deadline: 15 February 2027
Guest Editors: Jungpil Shin; Yong Seok Hwang Deadline: 31 January 2027
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






