This cover illustrates the complex interplay between neurotransmitter-mediated signaling and glioblastoma biology. The image highlights neuron–glioma synaptic communication...
This study addresses the challenge of identifying impact-related damage in CFRP laminates by developing smart composite structures integrated with FBG sensors and...
Obesity significantly influences liver health by promoting the onset and progression of metabolic dysfunction-associated steatotic liver disease (MASLD). Hepatocellular...
The 4th International Conference on Energy Engineering (ICEE2026) will be held in Chiang Mai, Thailand from October 16 to 18, 2026. Jointly organized by Chiang Mai University and Tech...
The Canadian Journal of Urology (CJU) will attend the American Urological Association Annual Meeting (AUA 2026), taking place from May 14–18, 2026, in Washington, D.C.Representing the journal...
Knowledge distillation bridges the performance gap between camera-based and LiDAR-based 3D detectors by leveraging the precise geometric information from...
This paper provides a thorough examination of Genetic Algorithms (GAs), a category of evolutionary computation methods derived from the concepts of natural...
Topology optimization (TO) has become a core computational paradigm for structural design by defining optimality through physics-based objectives and...
Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...
To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...
Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...
The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...
The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...
Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...
Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...
This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...
This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...
3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...
This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...
The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...
In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...
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...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
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...
The rapid evolution of next-generation intelligent networks and cyber-physical systems has transformed industries by enabling seamless connectivity, real-time...
Knowledge distillation bridges the performance gap between camera-based and LiDAR-based 3D detectors by leveraging the precise geometric information from...
This paper provides a thorough examination of Genetic Algorithms (GAs), a category of evolutionary computation methods derived from the concepts of natural...
Topology optimization (TO) has become a core computational paradigm for structural design by defining optimality through physics-based objectives and...
Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...
To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...
Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...
The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...
The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...
Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...
Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...
This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...
This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...
3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...
This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...
The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...
In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...
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...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
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...
The rapid evolution of next-generation intelligent networks and cyber-physical systems has transformed industries by enabling seamless connectivity, real-time...
This study examined the effects of modified Gum Arabic (OLLA-g-GA), modified Euphorbia trigona Mill (OLLA-g-ETML), and their master batch (OLLA-g-GA–OLLA-g-ETML) on the non-isothermal crystallisation and thermal stability of poly (lactic acid) (PLA). The interface interactions of PLA with the modifiers before and after modification were analysed and identified using FTIR spectroscopy, which displayed different peak formations and intensities compared to neat PLA, indicating physical interactions with the modifiers. Differential scanning calorimetry (DSC) was used to study…
The modification of melamine–urea–formaldehyde (MUF) adhesives with lignosulfonates (LS) represents a promising strategy for developing more sustainable wood-based panels. However, the influence of the counterion type remains poorly understood. In this study, the effect of lignosulfonate counterions on adhesives performance and properties of MUF-bonded particleboards was investigated, with a focus on sodium (NaLS) and magnesium (MgLS) lignosulfonates incorporated at 2.5%, 5.0%, and 7.5%. Adhesives performance was characterized by measuring dry solids content, dynamic viscosity, gelation…
Lignocellulosic waste, consisting mainly of cellulose, hemicellulose and lignin, is the most abundant global biomass. Industries generate millions of tonnes of this waste biomass every year. This includes: sugarcane bagasse, corncob, rice straw and husk, oil palm fibres and empty fruit bunches, wheat straw, brewer’s spent grains, among others. These wastes could be valorized to produce high-value industrial lignocellulase enzymes, such as cellulases, hemicellulases and ligninases, by several microorganisms, including bacteria and fungi. Furthermore, the…
The development of seaweed-derived products, particularly carrageenan, is increasingly prioritized in Indonesia to support sustainability and strengthen the local economy. Despite extensive studies on carrageenan extraction, systematic comparisons between locally extracted carrageenan and specific local commercial products remain limited. This study addresses this gap by directly comparing carrageenan extracted from Eucheuma cottonii harvested in Lombok, Indonesia, with a locally produced commercial carrageenan as a quality benchmark. Carrageenan extraction was performed using alkaline KOH treatment followed by…
This study examined the impact of various pre-treatment techniques on the physical and mechanical characteristics of particleboards derived from oil palm trunks (OPT). Thermal and chemical pre-treatments of the fibers, including hot water, sodium hydroxide (NaOH), and acetic acid, were applied prior to board production. In addition, antifungal agents were incorporated as supplementary additives during the manufacturing process at varying percentages to evaluate their effect on panel performance. Morphology of the treated OPT fibers was…
Grape by-product of the wine industry, rich in polyphenols, tannins, lignin, and natural waxes, the chemical constituents grape skins 45%–55%, seeds 25%–35%, and stems or stalks 25%–35% weight of grape provide intrinsic cross-linking, mechanical reinforcement, antioxidant activity, and water resistance, closely replicating the effects of conventional vegetable tanning without using toxic chemicals. This review comprehensively examines current eco-friendly extraction methods to isolate bioactive compounds, as well as fiber modification techniques to improve polymer compatibility. Composite…
Plant-based starch has emerged as a promising natural binder in biocomposites owing to its biodegradability, renewability, and functional adaptability. This study critically reviews the extraction, modification, and performance of starches derived from sources such as corn, potato, and cassava, with particular attention to their calorific behaviour as measured through bomb calorimetry. Calorimetric analysis provides insight into the energy density and combustion efficiency of starch binders, parameters that influence both processing and End-of-life valorisation of biocomposites.…
Bio-derived carbon cryogels have garnered significant interest as promising electrode materials for supercapacitors due to their high specific surface area (SSA), hierarchical porosity, and eco-friendly synthesis methods. In this study, a tannin-modified phenolic hydrogel was synthesized using a sustainable tannin–phenol precursor system and subsequently subjected to three distinct drying methods-freeze-drying (FD), supercritical drying (SCD), and ambient pressure drying (APD)-to systematically evaluate their influence on structural integrity, porosity, and electrochemical behavior. Among these, the sample obtained…
Gas binding fault (GBF) represents a critical operating condition in centrifugal pumps, characterized by severe performance degradation due to gas–liquid interactions within the flow passages. To elucidate the underlying mechanisms, this study employs a coupled Lattice Boltzmann Method and Large Eddy Simulation (LBM–LES) framework to analyze the hydro–mechanical-electrical behavior of a centrifugal pump under varying inlet gas volume fractions (IGVF, β). It is shown that, at low gas content (β ≈ 3%), dispersed bubbles primarily…
Slug flow poses significant dynamic challenges in multiphase pipeline transport, particularly in complex offshore and Floating Liquefied Natural Gas systems, where conventional one- and two-dimensional models fail to capture the intricate three-dimensional interfacial topologies and transient liquid-film dynamics. To overcome this limitation, the present study develops a three-dimensional transient numerical model based on the coupled level-set and volume-of-fluid (CLSVOF) method within a large eddy simulation (LES) framework, and validates it against high-frequency measurements obtained from…
The passability (transport behavior) of while-drilling lost circulation materials (LCMs) through directional tools is strongly influenced by material composition and particle characteristics. In this study, a coupled computational fluid dynamics–discrete element method (CFD–DEM) model is developed to systematically evaluate the effects of particle size distribution, concentration, morphology, and fiber inclusion on LCM transport behavior. Visualization experiments conducted using a transparent screen section demonstrate good agreement with the simulated pressure-drop evolution, supporting the validity of the…
The global transition toward sustainable energy systems underscores the strategic importance of methane (CH4)–carbon dioxide (CO2) mixtures in cryogenic applications. In Liquefied Natural Gas (LNG) processing and Carbon Capture, Utilization, and Storage (CCUS) networks, such mixtures are routinely exposed to low-temperature environments where phase stability becomes critical. Under these conditions, the unintended formation of solid CO2 (dry ice) within pipelines poses significant engineering challenges, including flow blockage and potential equipment damage. Ensuring flow assurance therefore demands a…
Uniformity in solid-liquid mixing is a critical aspect for mass and heat transfer efficiency in multiphase reactors. This highlights the necessity for rigorous quantitative approaches capable of resolving spatial heterogeneity across multiple scales. In this work, a coupled discrete element method-volume of fluid (DEM-VOF) framework is employed to simulate the suspension dynamics of 20,000 particles, each 2 mm in diameter, within a liquid medium. To achieve a quantitative and multiscale characterization of three-dimensional particle distributions,…
Lithium-ion batteries are widely deployed in electric vehicles, yet their performance and safety are strongly constrained by elevated operating temperatures, which may accelerate degradation and, in extreme cases, trigger thermal runaway. This study numerically investigates the thermal performance of a Tesla valve-based cold plate for battery thermal management, with the aim of enhancing heat dissipation efficiency through multi-parameter collaborative optimization. An initial screening is conducted using orthogonal experimental design to evaluate the effects of shunt…
Current prediction methods for wellbore temperature and pressure in gas storage injection–production wells are commonly based on the simplifying assumption of pure methane, thereby neglecting the multi-component nature of real natural gas and limiting predictive accuracy. To overcome this shortcoming, this study develops a comprehensive model for the coupled temperature and pressure fields in wellbores transporting multi-component natural gas mixtures. The proposed framework explicitly accounts for compositional effects by integrating key thermophysical properties, including density,…
Background: Conjugate heat transfer in supercritical hydrocarbon fuels within microchannels is strongly influenced by sharp thermophysical property variations and chemical reactions, posing significant challenges for accurate numerical prediction. To address this, a high-fidelity solver is developed within the OpenFOAM framework, incorporating detailed reaction mechanisms and demonstrating robust stability under steady supercritical conditions. In particular, to mitigate numerical oscillations and accuracy loss in the pseudo-critical region, a high-order variable-property transport model, based on an eight-segment, seventh-order polynomial…
Guest Editors: Carlos Vargas-Salgado; Dácil Diaz-Bello Deadline: 30 April 2027
Guest Editors: Jungpil Shin; Yong Seok Hwang Deadline: 31 January 2027
Guest Editors: Qi Chen; Yunhui Tang 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
Guest Editors: Jian-Hong Ye; Weiguaju Nong Deadline: 31 December 2026
Guest Editors: Changhong LINGHU; Hoon Eui Jeong; Ying Jiang; Jiangtao Su; Yangchengyi... Deadline: 30 December 2026
Guest Editors: Fátima Martel Deadline: 30 November 2026
Guest Editors: Wei-Chiang Hong; Yi Liang; Ming-Wei Li; Zhong-Yi Yang Deadline: 30 November 2026
Guest Editors: Yahya Bachra Deadline: 30 November 2026
Guest Editors: Syed Mahmood; Pornanong Aramwit 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






