Developing scientific literacy in primary education can be challenging. Teachers often lack the time, scientific domain knowledge, and capacity to provide individualised support and guidance during hands-on science activities. As a result, students m...
Given the increasingly stringent requirements regarding the performance, durability, safety, and sustainability of industrial processes, the modernization of materials and manufacturing technologies has become an essential necessity for the developme...
Fluid migration screening requires the integration of seismic structure and well log response. This study develops a multimodal framework for ranking an attribute-derived fluid migration favorability proxy from paired local seismic patches and well l...
As Earth system science moves toward global-domain and multi-sphere coupling, traditional two-dimensional spatial information frameworks can no longer fully meet the integrated spatial computing demands of deep space, deep Earth, and deep ocean appli...
Internal defects such as cracks and pores in prebaked anodes severely affect aluminum electrolysis efficiency and energy consumption. Existing detection methods face an irreconcilable contradiction among speed, cost, and accuracy. To address this iss...
Augmented reality (AR) can make robot programming more intuitive by letting users set motion parameters directly in the workspace. This paper extends AURaPath, an AR system for interactive 6-DoF waypoint determination on a UR10 collaborative robot us...
Pediatric asthma is a heterogeneous disease characterized by complex interactions among airway inflammation, nutritional status, metabolic health, environmental exposures, and immune regulation. This narrative review summarizes current evidence linki...
To address the difficulty of establishing unified displacement-level forward and inverse kinematics and effectively characterizing the orientation evolution of spherical-platform parallel mechanisms under pure rolling constraints, a 3-P(S) parallel m...
Bicycle road infrastructure on weak or organic subgrades requires ground improvement or foundation solutions that vary significantly in material demand and construction complexity, yet their environmental implications remain poorly understood. This s...
Symbolic execution is a key program analysis technique for ensuring the quality, security and safety of embedded, cyber–physical and electronic systems, but it is limited by path explosion and costly constraint solving. This study systematicall...
Corneal transplantation depends on donor tissue that is stored before use, yet routine assessment of stored corneas relies on structural measures that do not describe the biochemical state of the tissue. In this study, Raman spectroscopy was used to...
The diffusion of information-and-communication technologies (ICT) and, increasingly, artificial intelligence (AI) across higher education—the transition from ICT-supported teaching toward intelligent, data-driven, and sustainable educational ap...
Large Language Models produce fluent prose, but for interactive media they tend to generate narratively sterile backstories whose conflicts are all resolved before play begins: the Closure Paradox. Conventional metrics, from n-gram overlap to retriev...
Urban pothole management conventionally relies on reactive, complaint-driven maintenance, which inevitably suffers from operational delays and inefficient resource distribution. To catalyze a paradigm shift toward proactive maintenance, this study pr...
This study investigates the applicability of finite mixture models (FMMs) for accurately modeling yarn structural quality parameters in 28/1 Ne ring-spun polyester/viscose yarns, focusing on yarn hairiness and twist. The research addresses the need f...
With the rapid advancement of industrial intelligence, equipment predictive maintenance (PdM) has emerged as a critical enabler for intelligent operation and maintenance (O&M) systems. However, conventional machine learning-based PdM methods are...
Air-cargo hub cargo regions concentrate congestion in a few facilities competing for limited budget and land. We couple constraining-facility identification with capacity-oriented layout adjustment in one shortage-first Max–Min traffic-allocati...
A magnetic chitosan composite was applied to study the adsorption of nanoplastics (NPs), prepared from single-use plastic bottles and packaging materials by mechanical fragmentation (MF) and nanoprecipitation (NPR), on magnetic biopolymer. The result...
Reliable joining of titanium–zirconium–molybdenum (TZM) alloy to graphite is difficult because of poor graphite wettability and the dissimilar metal/nonmetal interface. This study investigates a narrow brazing-temperature range of 1540&nd...
Haptic surgical simulators assign a constitutive force law to each tissue class segmented from volumetric images and switch between laws, unsmoothed, as the instrument advances. This study characterizes the resulting force discontinuities and derives...
Accurate detection and localization of rice seedlings are essential for intelligent mechanical weeding. In paddy fields, small target sizes, overlapping leaves, variable illumination, and complex backgrounds make these tasks challenging. This study d...
Federated learning (FL) enables collaborative training across distributed clients without directly sharing their raw data. However, non-IID data distributions and malicious behaviors can produce unreliable and conflicting client updates, severely deg...
Offshore wind-farm operation requires periodic inspection of turbine foundations and submarine power cables to assess foundation scour, cable surface exposure, and cable burial condition. This paper presents a task-oriented multi-sonar inspection wor...
Natural heritage comprises biological, ecological, historical, and digital records whose values emerge through their interrelations, yet these records are often managed separately. This study develops NEXUS, an interpretable knowledge-graph framework...
Mechanically lined pipes (MLP) combine a carbon-steel base pipe with a thin corrosion-resistant liner that transfers load through frictional contact. This numerical study compares the stress responses of matched monometallic and mechanically lined pi...
This study presents a multimaterial robotic end-effector that combines compliant gripping structures with deformation sensing using thermoplastic polyurethane (TPU) and conductive polylactic acid (PLA). Four lattice geometries—diamond, hexagona...
Multimodal image–text posts on social media provide valuable evidence for disaster response, but fine-grained crisis classification remains difficult when modality reliability varies, categories overlap, and global representations obscure local...
Bisphenol A (BPA) is an important environmental contaminant with documented adverse effects on both human and animal health. The present study provides the first assessment of BPA concentrations in the hair of stray cats inhabiting a highly urbanized...
The styling design of engineering equipment is jointly constrained by functional requirements, structural characteristics, and professional application contexts. Therefore, design decisions need to consider both subjective Kansei preferences and obje...
Urban forecasting systems increasingly draw on mobility and other dynamic data, yet improved test accuracy alone cannot show whether an added source lowers an information-constrained error bound or merely benefits a particular model. We develop a fin...
A single correlation coefficient computed directly from an undecomposed power time series may obscure coupling patterns associated with short-term fluctuations, stage-wise variations, and long-term trends among heterogeneous source and load nodes. To...
To investigate the dynamic response during blasting operations for subway tunnel excavation and ensure the safety of buildings surrounding subway stations, a numerical simulation model of subway station excavation blasting was developed using Midas-G...
Collaborative filtering (CF) recommenders are commonly evaluated in isolation, which does not reveal whether a trained model has fully captured the predictive information available from local user neighborhoods. We investigate this question through a...
We report on a feasibility study conducted at the ELBA station at the ELI Beamlines facility to investigate the possible production of muons from high-energy electron beams generated by extended laser–plasma interactions in optically generated...
The increasing performance and implementation requirements of modern wireless communication systems have created a need for systematic decision-support approaches for selecting microwave filter technologies under multiple and often conflicting design...
Intradialytic hypotension (IDH) is a common complication of hemodialysis and is associated with treatment interruption, reduced patient tolerance, cardiovascular events, and hospitalization. Existing machine learning studies often use only limited dy...
Artificial intelligence is gaining importance in the legal domain, while Named Entity Recognition (NER) research on Turkish legal texts remains limited by the scarcity of annotated resources. This study introduces a manually annotated NER dataset der...
Learned methods for seismic travel-time tomography are usually compared with physics-based inversion on benchmarks whose representation and evaluation choices are left implicit. We show that the apparent workflow ordering depends materially on the de...
Serpentine group minerals—comprising antigorite, chrysotile, and lizardite—are key indicators of the hydration of ultramafic rocks and the serpentinization process. In this study, the mineralogical, chemical, and structural characteristic...
This study investigates the volumetric behavior and transport properties of two non-aqueous binary systems designed for carbon capture: monoethanolamine + dimethyl sulfoxide and + N,N–dimethylformamide. Experimental density and viscosity data w...
Retrieval-augmented generation (RAG) is increasingly used to ground large language model (LLM) tutors, but comparing tutoring architectures is expensive, because every design decision ordinarily requires a fresh study with students. We present a repr...
In advanced semiconductor manufacturing, in-plane distortion (IPD) of silicon wafers induced by vacuum chucking can compromise overlay accuracy. Out-of-plane deformation (OPD) is measurable by optical methods such as Wave Front Phase Imaging, but pre...
The presence of microplastics (MPs) in food products has become a concern, underscoring the need for reliable methods of isolation and analysis. There is no specific regulatory framework for monitoring MPs in food. A challenge is the lack of standard...
In modern supply chain systems, task allocation is indispensable to logistics transportation. Sound and efficient allocation strategies are key to improving distribution efficiency and resource utilization. To address the limitations of traditional o...
Neural networks (NNs) for real-time medical image processing in resource-constrained environments benefit from hardware platforms that ensure deterministic timing, low latency, and fine-grained control over computational resources. This work introduc...
Library-oriented code generation methods typically supplement the library knowledge of large language models by retrieving API documentation. However, static retrieval cannot readily exploit runtime information generated during code generation to upd...
In the last decade, researchers’ attention has focused on the study of antimicrobial peptides (AMPs), small protein molecules that constitute the first line of defence of organisms against a great variety of external agents, and they have been...
Anterior cruciate ligament (ACL) injuries severely impact football players and their teams, highlighting the need for a precise understanding of mechanisms to optimize prevention. This study evaluated, through video analysis, the mechanisms, situatio...
Background/Objectives: Regular physical activity is recommended to maintain a healthy lifestyle. Individuals with physical impairments have barriers that limit their participation in traditional exercise. Understanding their perceptions of adapted fi...
Nonlinear heart rate variability (HRV) metrics may complement scales, but metric-level simulation alone cannot test algorithm implementation or stability under signal imperfections. We evaluated a dual-layer simulation framework for fibromyalgia reha...
