Research works

Symmetry-Guided Neural Approximation and Convolutional Non-Dominated Sorting on Synthetic Two-Objective Benchmarks Toward Option-Pricing Model Research in Financial Mathematics and Quantitative Economic Analysis

Two-objective optimization requires both reliable front approximation and explainable non-dominated extraction. This study develops a theoretical and computational method that maps sampled objective vectors to rasterized objective-space images and processes their Pareto structure...

A Deep Learning Model for Prediction of Unknown Gene Functionality: Gene Bio‐BERT

The Human Genome Project (HGP) was a large international research effort that timelined between 1990 and 2003, marking the successful mapping of the entire human genome. Despite the promising performance of deep learning models, especially LLMs like Bio-BERT and ProtBERT on well-...

Migraine-Associated Tinnitus and Vestibular Symptoms: a Clinical Synthesis and Conceptual Framework

Abstract Purpose of Review Migraine is increasingly recognized as a multisensory neurologic disorder whose manifestations extend beyond headache to include tinnitus, aural fullness, dizziness, vertigo, and motion sensitivity. This review synthesizes current clinical and mechanist...

Empowering Solo Female Travellers: The Effect of Travel Motivation, Negotiation Skills, and Perceived Behavioural Control on Travel Intention

Despite the growing popularity of solo female travel, few studies have examined how empowerment-related factors combine to influence solo travel intention or the mediating role of perceived behavioural control in these relationships. Accordingly, this study investigates the effec...

Structural and Optical Investigation of Sol–Gel-Derived TiO2 Films Deposited on Transparent Substrates

In the present work, thin TiO2 films were obtained by the sol–gel spin-coating method on glass and ITO-covered glass substrates. The crystallization evolution of the thin films was studied by the X-ray Diffraction (XRD) technique. The results indicate that the films’ crystalline...

An Integrated explainable machine learning framework for pavement condition assessment and maintenance prioritization: A Saudi Arabian case study

Abstract Effective pavement condition assessment is critical for maintaining durable, safe, and well-performing road networks, particularly in arid regions such as Saudi Arabia, where heavy traffic loading, high temperatures, and surface distress accelerate pavement deterioration...

The Role of Prior-Induced Regularization in Accuracy and Stability of Genomic Prediction Across Unimodal and Multimodal Models

In this study, we assessed the impact of prior-induced regularization using six real datasets from wheat, rice, and potato, spanning 107–758 genotypes, 2–12 environments, 1–18 traits, and 2744–108,024 molecular markers. Two modeling scenarios were evaluated: (i) unimodal genomic...

Maximising the ‘co’ in co-design through facilitator actions: co-designers’ perspectives on what makes their participation in co-design meaningful

Co-design is a participatory approach to service development and research that is increasingly expected within the mental health sector. It involves end users being involved throughout a design process, not simply by providing opinions, but through shared decision making. Evidenc...

Older adults’ participation and experiences in design thinking for AI-driven assistive technology: a scoping review

Abstract Background Population ageing and the rapid integration of artificial intelligence (AI) into assistive technologies have created a need to engage older adults as active partners in technology design. AI-driven assistive technologies are frequently developed with limited o...

Enhancing biodegradation of polycyclic aromatic hydrocarbons using bacterial consortia and biofilm

Abstract The release of petroleum and its constituents, such as polycyclic aromatic hydrocarbons (PAHs), into the environment poses a significant global threat due to their toxic, genotoxic, mutagenic, and/or carcinogenic properties. Using indigenous PAH-degrading bacteria to dec...

The impact of depression on outcomes in revision knee replacement surgery

Introduction Revision total knee arthroplasty is associated with more variable functional recovery and greater postoperative burden than primary surgery. Depression may influence recovery, but its effect in revision knee replacement remains incompletely defined. Objective To synt...

Life‐History Traits and Overwintering of Actia interrupta (Diptera: Tachinidae), a Larval Parasitoid of Choristoneura fumiferana (Lepidoptera: Tortricidae)

ABSTRACT Actia interrupta (Diptera: Tachinidae) is an important larval parasitoid of the eastern spruce budworm, Choristoneura fumiferana (Lepidoptera: Tortricidae), especially during low‐density (endemic) population phases. Despite its ecological importance, information on its b...

Transcriptomic characteristics of plasma from Chinese ethnic minority patients with major depressive disorder

Ethnic and regional disparities have been observed in the diagnosis and treatment of psychiatric disorders. Our previous research revealed metabolic heterogeneity in plasma samples from ethnic minority patients with schizophrenia in Qiandongnan, China. In this study, individuals...

Near-Surface Temperature Biases in Regional Climate Models over Complex Orography: A Physically Grounded Diagnosis

Regional climate models (RCMs) remain affected by limited spatial resolution and systematic biases relative to observations, posing a major challenge for the provision of actionable climate information at the local scale. Bridging the gap between coarse, biased model outputs and...

Stable biomass accumulation driven by conservative traits in Brazil’s tropical montane forests

While tropical forests are key CO2 sinks, local drivers of aboveground biomass (AGB) dynamics in diverse systems like the Brazilian Atlantic Forest remain uncertain, constraining ecological references for restoration and long-term carbon sequestration. This study evaluates how bi...

Crack-localization in elastomeric self-healing enabled by one supermolecule-analogous molecule

Residual invisible cracks make perfect material self-healing difficult to achieve. In principle, cracks could be visualized by luminescent indicators; however, high-energy fluctuations associated with rapid healing kinetics interfere with the electronic transitions of luminophore...

COVID-19-Related Knowledge and Health Literacy Among Village Heads (Muhtars) and Their Relatıves: A Pre-Test–Post-Test Study

Objective: This study aimed to evaluate COVID-19-related knowledge and health literacy levels among village heads and their relatives in the Çarşamba district of Samsun, Türkiye, and to assess the effectiveness of a structured educational intervention.Methods: This descriptive st...

Vinylene‐Linked Covalent Organic Frameworks With Multi‐Intramolecular Coupling‐Promoted Photocatalytic CO 2 ‐to‐CO Conversion

ABSTRACT Covalent organic frameworks (COFs) offer significant potential for solar energy conversion, but their sluggish intrinsic charge‐transfer kinetics inherently restrict the activation of stable CO 2 . Herein, we developed a new electron‐deficient monomer 6,6′‐dimethyl‐3,3′‐...

Adaptive Spatial–Frequency Information Fusion for SAR Ship Detection

Synthetic-aperture radar (SAR) ship detection is a fundamental task in maritime remote sensing, supporting wide-area surveillance, traffic monitoring, and emergency response under all-weather imaging conditions. Existing deep detectors mainly rely on spatial cues such as intensit...

Image segmentation method with improved boa and scheduling processing

Image segmentation is a key step in image processing and analysis. However, traditional segmentation methods suffer from slow convergence and low segmentation accuracy. Deep learning methods, such as mask region-based convolutional neural networks, can segment medical images with...