Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Modular dual-critic reinforcement learning control for AUV path tracking and collision avoidance
Autonomous underwater vehicles (AUVs) operating in complex and uncertain ocean environments require reliable path-tracking and obstacle-avoidance capabilities to maintain safety in the presence of currents and obstacles. Traditional end-to-end dee...
Enhancing pure ammonia engine combustion by pre-chamber ignition coupled with dual spark ignition strategies
Advanced ignition strategies are essential for overcoming the poor ignitability and low burning velocity of ammonia. Multi-point spark ignition can increase the combustion rate by shortening the flame propagation distance, while pre-chamber igniti...
An Investigation of Management Practices in Raw Material Cost Accounting: Evidence from Iraqi Industrial Companies
This study aimed to investigate management practices in raw material cost accounting and their effects on cost control and optimization in Iraqi industrial companies. In terms of purpose, the study was applied, and in terms of nature, it employed ...
Progressive Dysphagia Revealing Oculopharyngeal Muscular Dystrophy: A Diagnostic Challenge
Oculopharyngeal muscular dystrophy (OPMD) is a rare, late-onset myopathy often presenting with progressive dysphagia and delayed diagnosis.We report a 69-year-old woman with worsening dysphagia, ptosis, and proximal muscle weakness who underwent a...
Ionic Liquid Mixtures in Task-Specific Applications: Linking Composition, Physicochemical Properties, and Performance
Ionic liquids (ILs) are often described as designer solvents. However, a single cation–anion pair rarely optimizes phase stability, transport properties, and task-specific functions simultaneously. Mixing introduces composition as a continuous des...
Towards sustainable construction: A Roadmap for Aligning BES6001 with the UN SDGs
The architecture, engineering and construction (AEC) sector has grown significantly over recent decades, sparking ongoing debate about its environmental impact. While advancing sustainability is essential, the sector’s role in meeting housing need...
Rare earth minerals occurrence in Zarigan Granite, Chadormalu mining area, Bafq Region, Central Iran, using multispectral and hyperspectral data
Monazite and xenotime are the main rare earth element (REE)–bearing minerals, typically extracted from placer deposits but also occurring in granitic rocks that act as their source. This study aims to map and conduct an initial evaluation of monaz...
Dislocation dynamics on deformable surfaces
Abstract We develop a fully coupled theoretical description of dislocation dynamics on deformable crystalline surfaces, using continuum modelling and the amplitude-phase-field crystal (APFC) framework extended to curved geometries. We derive a gen...
Segmenting submarine boulders with Random Forest and nnU-Net: from bathymetric rasters to survey-scale size distributions
In the soft-bottom-dominated southern Baltic Sea, geogenic hard substrates are biodiversity hotspots. The lack of open-source, pixel-level segmentation approaches for boulders in MBES data has made it difficult to advance the ecological understand...
Ingénierie Métrique-Affine : Domaines Transverses et Variantes Applicatives
Résumé (FR)Ce document, produit avec l’assistance de Gemini 3 Raisonnement, est publié sous licence Apache 2.0. Il constitue une publication défensive volontaire (antériorité) et entre de ce fait dans l’état de la technique au sens des législation...
Enhanced INS/GNSS State Estimation using GNSS-Based Acceleration Measurements
Accurate and reliable navigation is essential for autonomous ground vehicle operations. Standard INS/GNSS fusion relies on GNSS position updates, which provide limited observability of orientation and inertial sensor error states, particularly dur...
UWAD-Net: attention-enhanced underwater waste detection in freshwater pond environments
Introduction Detection of underwater waste in freshwater environments remains a challenging task due to the scarcity of domain-specific annotated datasets and adverse visual conditions caused by poor visibility, inconsistent illumination, color de...
Bayesian calibration of resistance spot welding models using temporal process features and streamlined active learning
Accurate multi-physics finite element modelling of resistance spot welding (RSW) remains challenging due to the uncertainties in contact and material parameters that shape the coupled thermal–electrical–mechanical process. This study introduces a ...
Video and digital games: Historical controversies, benefits, and risks for children and adolescents
Video and digital games have been the focus of sustained public and scientific debate since their commercial emergence in the late 1970s, particularly regarding their effects on children and adolescents. Early public and scientific discourse frequ...
Oceans of Alignment: India–South Korea Cooperation in the Indo-Pacific
It explores five themes that examine the state of India-Korea[a] maritime partnership and the opportunities for enhancing it. It brings together scholars from India and South Korea who carefully consider how the two countries can jointly respond t...
Anatomical and histological changes associated with hibernation in the stomachs of Anatolian ground squirrels
This study investigated the anatomical and histological characteristics of the stomach in Anatolian ground squirrels ( Spermophilus xanthoprymnus ) during hibernation (H) and non-hibernation (NH) periods. Stomach tissues from hibernating and non-h...
Hemp-Derived Cellulose/NiFe2O4 Biocomposite Hydrogels for Flexible Optoelectronics
Abstract This study presents a systematic investigation into the optical and broadband dielectric behaviors of sustainable biocomposite hydrogels, synthesized from hemp biomass-derived cellulose and a poly(AMPS/IA) network reinforced with varying ...
Applications of bio-enhanced cementitious composites for sustainable building materials: emission-reduction and carbon-sequestration pathways
Abstract This article uses knowledge mining to examine microbial strengthening mechanism in cementitious composites. Knowledge graphs and large language models (LLMs) support literature collection and curation to link established findings with rec...
Global transportation impacts on wildlife mortality and emerging pathways for mitigation
Terrestrial, freshwater, and marine transportation are fundamental to modern human life, but vehicle collisions with wildlife inadvertently kill hundreds of millions of animals across 2000 vertebrate and invertebrate species annually; however, a c...
Reinforcement Learning‐Based Sliding Variable Optimal Control for Canonical Nonlinear Systems With Unknown Control Direction
ABSTRACT This paper presents a sliding variable‐based optimal control (SVBOC) framework for canonical nonlinear systems with unknown control direction. The approach integrates reinforcement learning (RL) with neural network (NN) approximation to a...
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