The illustration depicts skeletal muscle as a central regulator linking obesity, metabolic syndrome, and cancer through melatonin signalling via the MT2 receptor,...
On the interface between immune cold and immune hot melanoma microenvironment. The cover image illustrates the involvement of epigenetic reprogramming as a major...
This study investigates how aggregated demand-side flexibility from public buildings can support renewable energy integration and decarbonization in Slovenia. Based...
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...
Tech Science Press is pleased to announce the latest enhancements to the Intelligent Journal System (IJS), introducing an updated interface and a series of workflow improvements to support manuscript...
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...
Total loss of feedwater accident is a typical transient among the design extension conditions for pressurized water reactor nuclear power plants, directly related to the loss of core cooling capability. Chinese nuclear safety regulations require in-depth analysis of such conditions, while most of the Generation II and modified Generation II units currently in operation were designed prior to the issuance of these regulatory requirements, and their mitigation capability remains to be verified. To evaluate the…
Rooftop solar photovoltaic (PV) systems operate under weather conditions that differ significantly from Standard Test Conditions (STC), particularly in tropical regions. This study examines the impact of climatic factors on rooftop PV power generation in the Kurunegala district of Sri Lanka using measured power output and meteorological data. Three grid-connected PV systems with a capacity of 5 kW were monitored over six months, with hourly power output and inverter temperature recorded during the daytime. Corresponding…
To reduce the reheating energy consumption in traditional constant temperature and humidity air conditioning systems, a constant temperature and humidity air conditioning system with condensation heat compensation function is proposed. This system performs reheating treatment on the supply air by combining condensation heat recovery with electric heating, realizing decoupled control of temperature and humidity and ensuring control accuracy. A system model and corresponding experimental platform are established to verify the model’s accuracy, and the experimental…
The magnetohydrodynamics of bubbly nanofluid flow in a horizontal pipe was studied. The drag-reduction effect of the behavior of a magnetohydrodynamic nanofluid in bubbly flow was experimentally verified by generating bubbles in the flow. The study examined the effects of the magnetic field on bubble formation by observing bubble characteristics, including shape, size, and trajectory. The experimental analysis adopted an optical system using a high-speed video camera. A MATLAB code was developed to track bubble…
Agricultural irrigation consumes a large share of electricity in rural areas, creating predictable peak conditions on distribution systems that can lead to grid instability and unreliability. Classic load-forecasting and scheduling methods are time-consuming and unable to respond rapidly to fluctuating irrigation demand. Additionally, most traditional methods require a stable internet connection to function and therefore cannot readily adapt to seasonal changes or crop-specific irrigation requirements. This creates inefficiencies in energy consumption and inconsistencies in water…
The prediction of the steady-state performance of the electrolysis cell is not only crucial for evaluating the rationality of its design and operational benchmarks, but also provides an important foundation for understanding its dynamic response behavior. This paper presents an efficient data-driven method based on three-dimensional two-phase numerical simulation and machine learning (ML) to rapidly predict the steady-state performance of proton exchange membrane electrolysis cells (PEMEC) under multi-physics field coupling conditions. The framework is based…
In this study, thin films of titanium dioxide (TiO2) were deposited onto glass and indium tin oxide (ITO) substrates at room temperature, using plasma-assisted pulsed DC sputtering with a 99.9% pure stoichiometric TiO2 target. Our research aims to investigate the influence of film thickness on the optical, structural, and morphological properties of TiO2 nanostructured thin films, as well as its impact on the photovoltaic performance of heterojunctions where TiO2 serves as the emitter. Using advanced PRISA software,…
The rapid expansion of electric vehicles (EVs) and the emergence of the Internet of Electric Vehicles (IoEV) have created considerable operational challenges for modern power systems. Large-scale EV charging can cause peak demand surges, voltage instability, and inefficient utilization of renewable energy resources when charging activities are not effectively coordinated. This study proposes an uncertainty-aware distributed optimization framework for smart EV charging in cyber-physical smart grids, in which charging schedules are coordinated while simultaneously considering…
Agricultural waste has received increased attention as a sustainable precursor for activated carbon manufacture because of its availability, inexpensive price, and ecological benefits. However, the search for the right biomass and optimization of the activation process remain one of the major challenges in the production of high-performance composites in energy storage applications. In this study, pyrolysis of durian and eggshells was performed for activated carbon production using sodium sulfite (Na2SO3) and orthophosphoric acid (H3PO4) as activating…
This paper presents the development and capabilities of the Broad-scope Environment for Dual-phase advanced reactor Operation simulation Kit (BEDOK), an in-house nuclear reactor simulator code created in Singapore to enhance regional expertise in the complex field of numerical simulation techniques and its applications. Designed with an emphasis on both flexibility and precision, BEDOK currently supports steady-state problems in light water reactors (LWRs), with the intention of further development of simulation capabilities, which may cover advanced…
Against the backdrop of the global climate governance paradigm shifting from “consensus building” to “action implementation”, how climate risk drives the green transformation of energy enterprises has become a critical research topic. Based on a sample of Chinese A-share listed energy enterprises from 2016 to 2024, this paper systematically examines the impact of climate risk on green transformation and the mediating role of R&D innovation. This study finds that climate risk accelerates the green transformation…
The rapid deployment of distributed energy resources (DERs), including photovoltaic (PV) generation, wind turbines (WT), battery energy storage systems (BESS), and electric vehicles (EVs), is transforming modern distribution networks by introducing bidirectional power flows, voltage variations, and increased operational complexity, thereby require enhanced system resilience. This paper presents a systematic review of multi-objective optimization approaches for interconnected multi-microgrid (MMG) systems with explicit consideration of resilience, following the PRISMA 2020 guidelines. A structured literature search and…
Mini-grids are increasingly regarded as a key pathway for expanding reliable and low-carbon electricity access in developing countries, but the models used to plan them often differ substantially in scope, temporal resolution, spatial detail, and techno-economic representation. This paper reviews and compares five modelling tools developed within the EMERGE project: Hosting Capacity, Optimal Storage Placement, GREENADVISE, CEPIA, and PowSyBl-METRIX. A generalized techno-economic framework is introduced to provide a common basis for comparison, covering objective functions,…
As the world’s energy framework shifts towards a low-carbon model, the widespread incorporation of renewable energy (RE) sources, primarily wind power and photovoltaics (PV), into the power grid is an unavoidable development. The micro-energy grid (MEG), as an integrated system that combines distributed energy, energy storage (ES), and power loads, can achieve efficient consumption of RE by implementing multi-machine optimal allocation and unified coordinated power control for parallel operation of grid-forming energy storage (GFES). For…
The rapid development of gas-cooled microreactors (GMRs) for remote and modular power supply necessitates highly efficient and autonomous core power monitoring systems. Traditional monitoring systems, such as those deployed in commercial power plants, rely on dense in-core instrumentation, whereas due to the limitation of space and simplicity in hardware designs, only sparse ex-core detectors are employed in microreactor designs. To address this challenge, this study proposes an advanced online power reconstruction approach based on the…
Virtual power plants (VPPs) serve as an effective means to aggregate and manage large-scale distributed energy resources (DERs). They can supply multiple electricity commodities—including electric energy, reserve capacity, and carbon allowances—to power systems. This paper proposes a coordinated market clearing and operation (CMCO) method for VPPs involved in trading multiple electricity commodities. First, we establish a bi-level CMCO framework that integrates the energy, reserve, and carbon markets. At the upper level, we build a distribution…
Guest Editors: Hung-Yu Lin; Hsing-Ju Wu Deadline: 31 May 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
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