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...
This study examines the relationship between energy consumption, renewable energy supply, and economic growth in BRICS countries over the period 2000–2023 within the framework of panel data analysis. In the analysis, economic growth is represented by gross domestic product, while total energy consumption and renewable energy supply are used as the main energy-related variables. The study contributes to the literature by evaluating the energy-growth nexus together with both total energy use and renewable energy dynamics…
The transition towards long-term operation and increasing safety standards for nuclear power plant (NPP) units necessitates a fundamental shift from isolated technical monitoring to integrated, risk-oriented performance evaluation. The increasing complexity, safety requirements, and extended operation of nuclear power plant (NPP) units necessitate advanced approaches for assessing their functional performance. This study aims to develop a risk-oriented qualimetric (integrated multi-criteria quality assessment) methodology for comprehensive evaluation of NPP unit operation, integrating both quantitative and qualitative…
In the present times, Transformation finance has become a prominent approach for a systematic financial channel to facilitate the step-by-step decarbonization of carbon-intensive sectors. Such mechanisms rely on the accuracy of carbon emissions data to measure environmental performance and to inform capital decisions. The current carbon accounting methods are limited by inadequate data-collection provisions, slow verification processes, and low auditability, which undermine the reliability of emission-reduction claims and constrain the effectiveness of carbon asset markets.…
This study develops a conceptual and analytical approach to assessing energy system (ES) resilience under conditions of a low-carbon transition, with particular attention to the role of operational constraints and adaptive capacity. The study demonstrates that, under conditions of polycrisis transformation, ES resilience cannot be adequately evaluated solely through technical and technological indicators, but requires the integration of functional, institutional, and operational parameters. An integrated resilience model is proposed in which operational constraints are interpreted…
Accurate per-kilometer energy consumption prediction is essential for effective electric bus (EB) fleet management in urban transit networks. Existing studies report mean absolute percentage errors of 5%–8% and rarely cross-validate explainability attributions or quantify prediction uncertainty. This study presents a physics-informed, interpretable machine learning framework for EB energy consumption prediction under Bangkok-like tropical urban conditions. Due to the institutional inaccessibility of operational telemetry, a parametric dataset of 4000 trip-level scenarios was constructed across 29 input…
The operational flexibility and reliability of Multi-Microgrid (MMG) networks have been greatly increased by the growing adoption of Distributed Generation (DG) within the operational framework of the contemporary power infrastructure. Optimal location and size of DG units are, however, significant issues since the problem is complex, nonlinear, and multi-objective. A proposed study will develop a sophisticated optimization model using the Spider Wasp Optimization (SWO) algorithm to optimally allocate and size DGs in MMG systems. The…
This study numerically investigates the influence of inlet–outlet arrangement on the thermo-hydraulic performance of a thermocline thermal energy storage (TES) tank using three-dimensional transient CFD simulations in ANSYS Fluent. Four different inlet–outlet configurations were analyzed under identical discharge conditions to evaluate their effects on thermal stratification, discharge efficiency, and internal flow behavior. The numerical model was developed using the continuity, momentum, and energy equations with the Boussinesq approximation and validated against reference experimental data with…
With the continuous expansion of installed capacity of renewable energy represented by wind power, modern power systems are increasingly characterized by high penetration of power electronics. This trend leads to reduced system inertia and compromised disturbance resilience, posing prominent challenges to frequency stability. Mainstream wind turbines operating in maximum power point tracking (MPPT) mode typically lack effective responses to system frequency fluctuations. Although conventional fixed-parameter virtual synchronous generator (VSG) technology can provide inertial support, it…
Building-integrated photovoltaics (BIPV) has attracted growing attention due to its promising applications in modern buildings. By serving as components of the building envelope, BIPV avoid competing with land use and facilitates net-zero energy buildings in the face of the current energy crisis. In addition to power generation, BIPV alters the energy-related properties of buildings. Appropriate daylighting and effective management of heat gains can reduce lighting, cooling, and heating loads, helping to balance energy production and…
This paper presents a probabilistic optimization framework for enhancing the photovoltaic hosting capacity of distribution networks through the coordinated operation of smart photovoltaic-static synchronous compensator (PV-STATCOM) inverters. High penetration of photovoltaic systems introduces significant operational challenges, including voltage rise, increased power losses, and reduced system reliability, particularly under uncertain load demand and intermittent solar generation. To address these challenges, a multi-objective optimization problem is formulated to simultaneously maximize the photovoltaic hosting capacity while minimizing voltage…
In order to solve the problem of the mismatch between the supply of electric vehicle charging stations and charging demand of electric vehicle charging stations caused by the rapid growth of electric vehicles, and the difficulty in determining the optimal site and capacity of electric vehicle charging stations, an optimisation method for the siting and sizing of electric vehicle charging stations considering the accessibility of user charging was proposed. Firstly, the road network topology structure…
This paper presents an advanced control strategy, termed enhanced adaptive super-twisting current-constrained algorithm (CCEASTA), to address overcurrent protection challenges and reject disturbances in non-cascade permanent magnet synchronous motors (PMSM) drives. The proposed strategy consists of two fundamental components. Firstly, a gain-adaptive super-twisting sliding mode controller with current constraints is designed in a non-cascade framework. The purpose of this structure is to suppress chattering, accelerate dynamic response, and ensure overcurrent protection. Secondly, a generalized proportional-integral observer
The flow mechanisms of shale oil are inherently complex, characterized by diverse occurrence states. Establishing a robust production forecasting model is essential for thoroughly evaluating well deliverability and the efficacy of reservoir stimulation. While conventional analytical techniques, numerical reservoir simulation, and production decline analysis constitute standard practice, they often struggle to balance computational efficiency with predictive fidelity. Intelligent algorithms offer superior precision in short-term forecasting following extensive data training; however, they frequently exhibit poor generalization…
As the core hub of energy production and consumption, the scientificity of power grid investment allocation directly affects renewable energy integration and power supply reliability. However, regional development stages exhibit significant uncertainty due to factors such as policy orientation and economic-technological progress. Existing power grid investment decision-making methods mostly ignore regional development differences, making it difficult to balance regional development equity and investment efficiency. To address this, this paper proposes a two-stage robust optimization model…
This study designs a supercritical CO2 heat pump anti-condensation system for a 50 MW tower solar thermal power plant in northwest China to prevent molten salt solidification in pipelines and storage tanks. A thermodynamic model is established to analyze the effects of key parameters (heat release power, maximum/minimum cycle pressure, heat source temperature, and isentropic efficiency) on the coefficient of performance (COP), with the simulation model validated against literature experimental data. Heat dissipation loss of the…
The power transformer serves as a critical hub equipment in the electric power industry, performing the core functions of voltage transformation and power transmission in power grids. Among various potential hazards, through-fault short-circuit impacts are particularly destructive, capable of inducing severe deformation of the transformer windings and even triggering internal faults, thereby posing a major threat to grid stability. Consequently, accurate diagnosis of transformer damage after short-circuit impacts and scientific formulation of targeted overhaul strategies…
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
Guest Editors: Hoon Ko; Marek R. Ogiela Deadline: 31 December 2026
Guest Editors: Víctor García Deadline: 31 December 2026






