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)...
The Canadian Journal of Urology proudly congratulates its Editor-in-Chief, Leonard G. Gomella, MD, on receiving the 2026 Lifetime Achievement Award from the American Urological Association (AUA)....
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...
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...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
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...
We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...
This study investigates the factors and mechanisms underlying multilingual identity construction among Malagasy undergraduates. A mixed-methods survey design was employed with 226 Malagasy university students (mean age = 22.56 years; female = 65.49%). Data were collected using questionnaire measures and a multilingual Visual Analogue Scale. These data were analysed using structural equation modeling, and participants’ explanations were coded to capture subjective interpretations. The results showed that language experience and language beliefs were identified as primary
Hydro-mechanical (HM) simulations of porous-media systems—such as those used in geotechnical engineering, groundwater flow, formation consolidation, and underground-structure safety assessment—become computationally expensive when large material- and load-parameter spaces must be explored for design optimization, uncertainty quantification, or real-time decision support. Although data-driven surrogate models can accelerate such analyses, it remains unclear whether explicitly conditioning a history-based predictor on physical parameters offers a meaningful advantage over learning directly from the temporal evolution of the physical fields.…
This study investigates the erosion behavior of metal mesh sand-control screens under representative operating conditions and develops an empirical model for predicting erosion rate and screen service life. Single-layer metal mesh screens were tested using a Multifunctional Spin Hydrodynamics (MSH) rotating apparatus under systematically varied liquid velocity, sand concentration, and particle impact angle. The influence of each operating parameter on erosion was quantified using a one-factor-at-a-time experimental design, while the underlying wear mechanisms were characterized…
This study presents a novel grooved-tooth rotary cavitation generator (GRCG) and systematically investigates its hydrodynamic cavitation and wastewater treatment response through a combination of three-dimensional transient numerical simulations and experimental validation. The simulations, based on the Realizable k-ε turbulence model and the Zwart-Gerber-Belamri cavitation model, are used to examine the influence of radial clearance (L) and rotational speed (N) on cavitation development. The numerical predictions are validated through Escherichia coli inactivation and Rhodamine B degradation experiments. The…
This study investigates the physicochemical characteristics, particle deposition behavior, and plugging mechanisms of produced fluids from drainage-gas recovery wells in high-salinity gas reservoirs, using a representative well from the Tarim Oilfield as a case study for a broad class of production systems affected by liquid-phase pipeline plugging. A comprehensive experimental methodology was adopted, combining physicochemical characterization, filtration and static sedimentation experiments, dynamic deposition tests, scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDS), and X-ray…
This study elucidates the mechanisms governing sand production during multi-thermal fluid huff-and-puff in unconsolidated sandstone heavy oil reservoirs and develops a temperature-pressure coupled prediction model for accurately quantifying sand production. Orthogonal laboratory experiments were conducted on reservoir samples from a representative case (Block X, Oilfield L), to compare the mechanical response and sand production behavior under multi-thermal fluid and conventional steam stimulation. The relative importance of the governing parameters was quantified using analysis of variance…
This study investigates the influence of a passive cavity flow-control strategy on base pressure in suddenly expanded supersonic flows through computational fluid dynamics (CFD) simulations. The flow configuration consists of a convergent-divergent (CD) nozzle discharging into an enlarged duct with an area ratio of 2.89. Simulations were performed for Mach numbers of 1.2, 1.4, 1.6, and 1.8, while the cavity was positioned upstream of the expansion at cavity locations corresponding to length-to-diameter ratios (L/D) ranging…
Flow maldistribution and local short-circuiting within blast furnace gas fine desulfurization systems can substantially impair desulfurization performance while increasing hydraulic losses and energy consumption. To elucidate the underlying flow mechanisms, a three-dimensional computational fluid dynamics (CFD) model accounting for the pressure variation across the top gas recovery turbine (TRT) was developed to investigate the flow characteristics under both high- and low-pressure operating conditions. Guided by the numerical analysis, an integrated structural optimization strategy, combining inlet…
Surface pressure distribution is one of the primary factors governing the aerodynamic performance, stability, controllability, and structural loading of high-speed aerospace vehicles. Accurate prediction of surface pressure is therefore essential for the design, optimization, and safe operation of flight systems ranging from supersonic aircraft to hypersonic vehicles and atmospheric re-entry platforms. Over the past several decades, extensive theoretical, computational, and experimental research has sought to characterize pressure distributions over canonical configurations, including wedges, cones, and…
This study examines transient heat and mass transfer characteristics in a Casson-based hybrid nanofluid (Au–Cu/water) flowing over a time-dependent stretching elastic surface in the presence of porous media and viscous dissipation. The mathematical model further incorporates the effects of magnetic fields, thermal radiation, chemical reactions, and velocity slip conditions to capture realistic transport phenomena encountered in advanced thermal systems. Through suitable similarity transformations, the governing partial differential equations are reduced to a system of nonlinear…
This article has no abstract.
Background: As social development accelerates and workforce competition intensifies, uncertainty is increasingly recognized as a core component of contemporary stress, particularly in the rapidly expanding platform (gig) economy. Platform delivery riders operate under algorithmic control, unstable income, and opaque evaluation systems, yet the magnitude and correlates of their uncertainty stress remain under-investigated. This study aimed to quantify the level of uncertainty stress among platform delivery riders and to identify work- and lifestyle-related factors associated with it.…
Backgrounds: As an increasing number of college students rely on Generative Artificial Intelligence (Gen AI) in academic work and social interaction, concerns about its potential negative effects have emerged. This study aims to address this gap by examining the relationship between relative deprivation and Gen AI dependency among college students. Methods: This study included 1583 college students. Four validated instruments were employed: the Relative Deprivation Scale, Psychological Entitlement Scale, Self-Handicapping Scale, and Artificial Intelligence Chatbot Dependence…
Background: Adults with developmental disabilities often face reduced structured participation and weakened social networks after leaving school-based systems. Although previous studies have reported positive outcomes of inclusive dance participation, relatively little is known about how belonging, recognition, and identity-related resources are formed through participation and carried into everyday life. This study examined how adults with developmental disabilities perceived and narrated changes in emotion regulation and self-evaluation through participation in an inclusive dance company, and explored how…
Backgrounds: High school is a critical period for psychological development, during which mental health is vulnerable to family environment. According to attachment theory, adolescents exposed to conflicting family environments develop negative internal working models, characterized by doubts about the stability of parental relationships and family support (i.e., negative family representations). These negative representations constitute a cognitive basis for depression risk. However, the mediating and protective mechanisms remain unclear. Thus, the primary purpose of this study is…
Objectives: The present study aimed to investigate how environmental context modulates flow experience, mood states, and brain waves during moderate-intensity cycling. Methods: Fifty healthy adults were initially recruited; four participants withdrew during the study, resulting in a final sample of 46 participants. Flow experience was assessed using the Flow State Scale (FSS), mood states were measured using the Profile of Mood States (POMS), and cortical activity was recorded using a Quick-20 Dry EEG headset. Participants performed…
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






