2026 September-1 - 550 articles
Students with attention-deficit/hyperactivity disorder (ADHD) often experience difficulties in mathematics related to attention, working memory, and executive functioning. Although technology-based interventions (TBIs) and emerging artificial intelli...
Safety Service Patrols (SSPs) are highway assistance programs that provide rapid response to crashes, disabled vehicles, and other incidents, helping to reduce congestion and improve roadway safety. Effective SSP coverage planning is important becaus...
Large deformation is one of the most critical hazards in tunnels excavated under complex geological conditions. It often causes significant economic losses and threatens construction safety. For layered soft rock tunnels subjected to high in situ str...
Introduction: MRI is the gold-standard imaging modality for rectal cancer (RC) local staging, but the ability to determine tumor invasion (pT) and nodal status (pN) remains limited in clinical practice. The main objective of this study is to evaluate...
In an agrivoltaic plot, the hourly panel tracking angle governs electricity, on-site economics, avoided carbon dioxide, irrigation demand and crop yield. Operating for photovoltaic output alone discards that space, and does so when a midday kilowatt-...
Thermodynamic concepts are increasingly used in nonlinear photonics to describe Rayleigh–Jeans thermalization, optical wave turbulence, condensation, negative-temperature states, and statistical mode locking. We ask how far this reasoning can b...
Gas escape relative to magma ascent is a primary control on degassing, yet its governing parameters are difficult to compare across eruptions and planetary environments. This study develops a reduced-order dimensionless framework for diagnosing local...
Accurate iris segmentation remains a fundamental challenge in iris biometric recognition and medical image analysis, particularly in challenging scenarios such as non-cooperative acquisition conditions involving variable illumination, partial occlusi...
The maintenance and repair of industrial equipment is a process whose automation can improve the efficiency and safety of industrial production. This paper presents a software service that recognizes service engineer actions from video captured durin...
The manual creation of personalized travel itineraries remains a labor-intensive process that requires travel agents to consolidate heterogeneous information from multiple sources, including natural language interactions, booking confirmations, scree...
Web applications increasingly handle sensitive data in diverse use cases, but conventional encryption implementations apply a uniform level of cryptographic protection to all traffic, regardless of the associated risk. This static approach results in...
Reliable electricity supply is essential for healthcare institutions, particularly where grid instability can disrupt service continuity, compromise patient safety, and affect the operation of critical medical equipment. In this context, selecting an...
Resource-constrained traffic classification requires mapping heterogeneous numerical features into a fixed-length binary input. Equal-width encoding ignores differences in discriminability, whereas range-only allocation may spend precision on weak pr...
Large language models and AI agents are extending data-engineering automation beyond isolated artifact generation toward end-to-end processes in which agents interpret requirements, select data, generate transformations, invoke tools, validate result...
Background/Objectives: Structured cytopathology reporting systems attach an evidence-based risk of malignancy (ROM) to every diagnostic category for the thyroid, salivary gland, urinary tract, lung and other sites. None exists for the oral cavity, an...
Temperature-dependent local two-phase flow parameters in lead–bismuth eutectic (LBE)–gas bubbly flows are essential for validating the closure models used in safety analyses of steam generator or heat exchanger tube rupture accidents in l...
Aiming at the problems of large speed synchronization error and prominent speed overshoot existing in conventional PID control algorithms widely adopted for diesel-engine parallel-unit speed-governing systems, this paper proposes a speed control algo...
For image data, matrix-based clustering methods are gaining popularity because they can directly process two-dimensional (2D) data structures without vectorization. However, most existing approaches rely on squared Frobenius norms in their objective...
Short-term passenger-flow forecasting at integrated transport hubs requires accurate forecasts with explicit target semantics. This study evaluates long short-term memory (LSTM) and temporal convolutional network (TCN) fusion models using two distinc...
Extremely low-frequency (ELF) electromagnetic waves, distinguished by their long wavelengths and strong penetration capabilities, are extensively utilized in strategic communications, geophysical exploration, industrial and rescue operations, and sci...
The identification and spatial positioning of welds are key links in welding process matching and automatic welding path planning. Therefore, achieving automatic recognition and spatial positioning of weld point cloud features under online scanning i...
Prevailing rolling bearing fault diagnosis frameworks based on long short-term memory (LSTM) are susceptible to noise interference under industrial strong-noise working conditions, suffering from insufficient feature extraction capability and low dia...
Quantitative measurement of forces applied to climbing holds is important for biomechanical analysis and technique assessment in sport climbing. Existing measurement systems often require dedicated instrumented holds or force sensors inserted between...
Transmission congestion has become a major challenge in deregulated power systems (DPS). Although flexible AC transmission system (FACTS) devices are effective for congestion management, their high installation cost and complex control requirements l...
Objective: This systematic review and meta-analysis evaluated the comparative effects of unilateral versus bilateral training on physical performance outcomes relevant to team sport athletes. The review addresses strength, power, speed, agility, reac...
This paper presents a computational pipeline for window-level semantic enrichment of texture-mapped building models used in urban digital twins (UDTs). The pipeline combines SAM-based candidate generation, super-resolution-based input matching (SRIM)...
In-transit vehicle malfunctions during material transportation in water conservancy construction can cause delivery delays, disrupt subsequent tasks, and lead to duplicate material requisitions. To address these issues, this study develops a material...
Studies of Upper Permian Changxing Formation reef–shoal bodies in the Sichuan Basin have mainly focused on platform-margin belts along the Kaijiang–Liangping trough. The sequence position, diagnostic criteria, and spatial configuration of...
Historical pax demand estimation is important for understanding long-term demand dynamics and supporting airline planning, strategic decision-making, and transportation policy analysis. However, current decomposition approaches either estimate trends...
Implicit Neural Representations (INRs) provide a flexible and resolution-independent formulation for continuous signal representation. Despite their strong representation ability, standard INRs usually predict each queried coordinate independently, m...
This study investigated and optimized the operational process parameters of an extrusion-based 3D food printing system to maximize the dimensional fidelity of newly developed Wolffia globosa (duckweed) starch hydrogel constructs relative to a nominal...
Modern agricultural production is one of the most technologically advanced sectors and is undergoing intensive transformation, driven by the development of digital technologies, measurement systems, automated data analysis methods, and artificial int...
The increasing demand for lithium-ion batteries (LIBs) highlights the need for efficient recycling strategies to recover critical materials and reduce environmental impact. This study presents an optimized hydrometallurgical process for the recovery...
Non-intrusive load monitoring (NILM) aims to estimate appliance-level power consumption from aggregate household measurements and provides an effective solution for fine-grained energy management. However, multi-appliance NILM remains challenging bec...
The accurate prediction of Remaining Useful Life (RUL) is fundamental to Prognostics and Health Management (PHM), enabling predictive maintenance and ensuring the operational safety of complex industrial systems. While deep learning models have demon...
Artificial intelligence has become an important component of contemporary engineering systems, supporting tasks ranging from optimization, prediction, and anomaly detection to computer vision, medical image analysis, and decision support [...]
Cooperative interception by multiple aircraft requires coordination of physical event times and terminal line-of-sight (LOS) directions under strongly coupled three-dimensional motion. A limitation of predictor-based designs is that agreement of esti...
This study addresses the design challenges of daily-use smart glasses by proposing a user-centered design and evaluation framework that integrates the KANO model, the Analytic Hierarchy Process (AHP), Fuzzy Comprehensive Evaluation (FCE), and Artific...
Estimated time of arrival (ETA) models for last-mile delivery are commonly evaluated within the same data source, leaving their reliability under cross-dataset distribution shift insufficiently characterized. This study evaluates internal generalizat...
In the context of educational digital transformation, automated grading of paper-based examinations faces two challenges: data privacy concerns and data heterogeneity across educational institutions. Existing Optical Mark Recognition systems are pred...
MEMS resonators vibrate about equilibria deflected by whatever combination of temperature, pressure, and bias voltage is present—not about the flat, unloaded plate—raising a basic design question: does the resulting natural frequency depe...
Seasonal energy storage effectively addresses seasonal electricity supply–demand imbalances. This study proposes a cross-seasonal compressed air energy storage system using a depleted gas reservoir as the storage reservoir. A six-stage compress...
Boundary longholes that deviate toward adjacent cemented backfill can reduce charge-to-backfill distance and increase blast-induced disturbance. This study develops an integrated, trajectory-based method for controlling charged-section distance in a...
Generalization under deployment shifts remains a major challenge for visuomotor robot manipulation, especially when changes in camera placement and control behavior are unknown to the policy. This paper introduces the System-Context-Conditioned Diffu...
Reliable determination of the surge limit of an installed centrifugal compressor cannot rely solely on OEM performance maps, theoretical predictions, or previously configured surge lines. The actual field boundary is influenced by installation-specif...
This study examines how the vertical spacing of a multi-height 360° camera array affects novel-view synthesis quality in indoor scenes reconstructed with 3D Gaussian splatting (3DGS). Although 3DGS enables high-quality real-time scene representat...
Resveratrol (RSV) is a naturally occurring polyphenol with well-documented antioxidant, anti-inflammatory, antimicrobial, photoprotective, wound-healing, depigmenting, and anticancer properties, making it an attractive candidate for dermocosmetic and...
Artificial potential fields (APFs) are widely used for collision avoidance in robotic systems due to their simplicity and real-time performance. However, in cooperative environments, robots may undergo unnecessary displacements caused by repulsive fo...
Sports science has evolved rapidly in recent years through advances in physiology, biomechanics, psychology, and performance analytics [...]
The continued digitization of open museum collections provides new opportunities for the intelligent organization and visual discovery of cultural heritage. However, morphological similarity between ceramic forms, intra-class variation, and changing...
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