Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Flash evaporation Riemann problem: formulation and its exact solution
Flash evaporation, a liquid-to-gas phase transition phenomenon in real fluids, is prevalent in aerospace propulsion systems. To elucidate the wave structures of flash evaporation in the equilibrium limit and provide theoretical benchmarks for comp...
THE ACTUAL ISSUES OF MANDATORY LABELING OF MEDICAL ARTICLES
The withdrawal of traditional foreign suppliers and subsequent legalization of parallel importation, called upon to saturate market with necessary production, objectively created favorable conditions for penetration of counterfeit goods into medic...
Hybrid energy management system and topology of fuel cell-based electric vehicles: Key problems, progress, and future prospects
Fuel cell hybrid electric vehicles (FCHEVs) are getting exclusive attention for making transportation more environmentally friendly because they don't emit any pollutants from their tailpipes. FCHEV offers superior energy density and rapid refueli...
Decoupling surface topography from gravitational acceleration in cryogenic pool boiling
Boiling heat transfer is governed by a complex interplay between surface conditions and gravitational acceleration. To isolate the sole effects of gravity, we investigated the pool boiling characteristics of liquid nitrogen on atomically smooth si...
A Vision‐Guided Docking Method for Autonomous Underwater Vehicle From Ice Hole
ABSTRACT Reliable autonomous docking of AUV under ice is critical for operational safety, as maintaining vehicle integrity and achieving full‐lifecycle autonomous operations are unique challenges in ice hole recovery. This study presents a vision‐...
Energy and Energy Transformation
Energy and Energy Transformation thoroughly examines energy systems, encompassing the analysis, calculation, and practical applications of energy transformation, with an extensive overview of both renewable and nonrenewable energy sources. It intr...
Trajectory Planning for Manipulators on Mobile Bases and in Dynamic Environments, Using Adaptive Models
This study addresses the challenges of trajectory planning for mobile manipulators whose base moves continuously during capture tasks. The main difficulty lies in adapting planning algorithms to dynamic scenarios, where base displacement compromis...
Low-Frequency, Pulsatile Delivery of Water Vapor to the Maxillary Sinus: Feasibility, Limitations, and Design Implications
Efficient aerosol delivery to the maxillary sinuses remains challenging because narrow ostia limit sinus entry. This in vitro study evaluated whether low-frequency, large-amplitude pulsatile flow can deliver humidifier-generated water aerosols to ...
Generalized direct fabrication of embedded–magnet microrobots with enhanced material compatibility
Abstract Magnetically actuated microrobots offer transformative potential for biomedical applications such as targeted drug delivery and minimally invasive diagnostics. However, existing fabrication methods are constrained by challenges in magneti...
A density-aware path-integral and forward-scattering imaging model for single-image dehazing in non-homogeneous fog
Single-image dehazing through non-homogeneous fog is an ill-posed inverse problem at the interface of imaging through scattering media and real-time perception. It raises two coupled difficulties, namely, spatially inconsistent degradation in whic...
Big data analytics in healthcare insurance: Applications, challenges, and strategic implications for data‑driven decision-making
Big data analytics is revolutionizing the healthcare insurance sector by enabling data-driven decision-making, enhancing risk management, and improving patient outcomes. The exponential growth of healthcare data, including electronic health record...
Open‐Set Fault Diagnosis for Autonomous Underwater Vehicles Via Prototype Learning and Adaptive Mahalanobis Gating
ABSTRACT Reliable fault diagnosis is essential for the safe operation of autonomous underwater vehicles (AUVs) in uncertain and dynamic environments. However, conventional closed‐set diagnosis methods are unable to handle previously unseen fault c...
On implementing Hirota bilinear neural network method and physic-informed of a new fourth-order nonlinear (3+1)-dimensional Ablowitz–Kaup–Newell–Segur equation
Bilinear neural network method and Physic-Informed neural network method have been applied in many aspects of sciences. This paper investigates a class of exact and approximate solutions for a fourth-order nonlinear (3+1)-dimensional Ablowitz–Kaup...
Numerical simulation of near-field target perception in autonomous underwater helicopters inspired by a biomimetic lateral line
The fish lateral line system enables ‘remote touch’ sensing, offering inspiration for near-field perception in autonomous underwater vehicles (AUVs). However, the mechanisms by which system integration influences perception performance remain insu...
Construction and Science of SURF
The Sanford Underground Research Facility (SURF) began operation in 2007 as a facility dedicated to advancing compelling multidisciplinary scientific research. SURF is one of the deepest laboratory sites and offers the largest footprint in the wor...
Advocating the potential of AI for syndrome discovery: a scoping review
This protocol describes a scoping review to map the landscape of artificial intelligence (AI) applications in syndrome discovery. Specifically, we aim to identify: 1. What AI techniques (e.g., natural language processing, machine learning, deep le...
Synergistic effect of 2,4,6-Tris(hydroxylamine)-s-triazine (THAT) on the thermal decomposition of ammonium dinitramide (ADN)
Ammonium dinitramide (ADN) is a promising halogen-free oxidizer for solid rocket propellants. This study investigates the synergistic effect of 2,4,6-tris(hydroxylamine)-s-triazine (THAT) on the thermal decomposition behavior of ADN. ADN/THAT comp...
MechanochemicallyCoupled Multidimensional Modulationof Calcium Overload
Disruption of calcium ion (Ca2+) homeostasis has emerged as a promising strategy for tumor therapy. However, the intricate regulation of Ca2+ signaling and the limitations of single-dimensional modulation often hinder therapeutic efficacy. Here, w...
Manual Material Handling Risk Assessment Using the Leitmerkmal Method on Porters at the Gorontalo Logistics Agency Warehouse
Manual material handling (MMH) activities in the warehousing sector still have the potential to cause ergonomic risks due to heavy lifting, high work frequency, and less ergonomic work postures. This study aims to analyze the level of MMH risk in ...
Artificial Intelligence for Supply Chain Optimization and Inventory Management
Artificial intelligence driven supply chain and inventory management enhances accuracy, reduces costs, and improves efficiency by leveraging machine learning, predictive analytics, and computer vision.The artificial intelligence optimizes stock le...
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