Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Janus nanomotors for topical treatment of radiation-induced dermatitis
-Pt-TA), which enhances skin permeability by a factor of 12.8 compared with passive nanoparticles. By leveraging the synergistic advantages of self-thermophoresis and self-electrophoresis, these motors enable non-invasive, deep penetration through...
Field-Governed Rare-Ion Capture from Seawater (FG-RIC)
This paper introduces the **Field-Governed Rare-Ion Capture (FG-RIC)** architecture — the first application of active electromagnetic field governance to the selective extraction of economically critical trace ions from bulk seawater. FG-RIC repla...
MNTP-A (Modular Nuclear-Thermal Propulsion Architecture)
Project Summary: MNTP-A (Modular Nuclear-Thermal Propulsion Architecture) 1. Nature of the Project The MNTP-A is a theoretical framework (TRL-1) for a high-redundancy nuclear-thermal propulsion system. It aims to solve the historical "Shielding-Ma...
Field-Governed Rare-Ion Capture from Seawater (FG-RIC)
This paper introduces the **Field-Governed Rare-Ion Capture (FG-RIC)** architecture — the first application of active electromagnetic field governance to the selective extraction of economically critical trace ions from bulk seawater. FG-RIC repla...
MNTP-A (Modular Nuclear-Thermal Propulsion Architecture)
Project Summary: MNTP-A (Modular Nuclear-Thermal Propulsion Architecture) 1. Nature of the Project The MNTP-A is a theoretical framework (TRL-1) for a high-redundancy nuclear-thermal propulsion system. It aims to solve the historical "Shielding-Ma...
IQ-TREE 3: phylogenomic inference software using complex evolutionary models
Abstract IQ-TREE (https://iqtree.github.io/) is a widely used open-source software tool for efficiently inferring phylogenetic trees under maximum likelihood. Here, we present IQ-TREE version 3, the third major release of the sof...
Investigating Utah's Watershed Restoration Initiative: A Qualitative Case Study of a State-Managed Collaborative Platform
Collaboration is necessary to address complex, cross-jurisdictional natural resource problems. To better understand the benefits and drawbacks of innovative collaborative structures, this research examined the Utah Watershed Restoration Initiative...
Navigating sustainable growth : green innovation as a mediator between CSR Engagement and firm value in emerging markets
Research on the relationship between corporate social responsibility (CSR), green innovation, and firm value remains contentious, debating whether CSR acts as a value-enhancing driver or a cost-inducing burden; this study constructs a unified theo...
2026 ACC/AHA/AACVPR/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Dyslipidemia
SCOPE-Falkor - FK180310 - APEX Float Profiles
These Simons Collaboration on Ocean Processes and Ecology (SCOPE) data products were produced by the University of Hawaiʻi at Mānoa with support from the Simons Foundation. The 2018 SCOPE-Falkor Cruise north of Oahu, Hawaii, built on the observati...
SCOPE-Falkor - FK180310 - APEX Float Profiles
These Simons Collaboration on Ocean Processes and Ecology (SCOPE) data products were produced by the University of Hawaiʻi at Mānoa with support from the Simons Foundation. The 2018 SCOPE-Falkor Cruise north of Oahu, Hawaii, built on the observati...
GST and Its Influence on Supply Chain Restructuring in Indian Manufacturing Industries
The implementation of the Goods and Services Tax (GST) in India on July 1, 2017, represents one of the most significant fiscal reforms in the country’s economic history. GST has altered the operational dynamics of Indian manufacturing industries, ...
GST and Its Influence on Supply Chain Restructuring in Indian Manufacturing Industries
The implementation of the Goods and Services Tax (GST) in India on July 1, 2017, represents one of the most significant fiscal reforms in the country’s economic history. GST has altered the operational dynamics of Indian manufacturing industries, ...
LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights
Large Language Models (LLMs) are emerging as transformative tools for software vulnerability detection. Traditional methods, including static and dynamic analysis, face limitations in efficiency, false-positive rates, and scalability with modern s...
Розробка консолідованої конструкції завихрювача з метою оптимізації процесів мікрометалургійного пошарового сплавлення жаростійких сплавів як монодеталі
This study investigates air flow characteristics and the temperature field in the combustion chamber, which are determined by the geometry of the swirler. The task addressed is predetermined by the fact that swirlers manufactured by conventional c...
COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts
In recent years, Multimodal Large Language Models (MLLMs) have achieved remarkable progress on a wide range of multimodal benchmarks. Despite these advances, most existing benchmarks mainly focus on single-image or multi-image comprehension. In re...
Propelling catalytic structures using active phase separation
Living systems routinely consume energy to achieve motility, often using intricate biomolecular machinery. In this work, we show that active droplets can sustain indefinite self-propulsion of a spherical colloid in an otherwise homogeneous, isotro...
Optimization of an Autonomous Underwater Vehicle for Enhanced Stability
AUVs have essential applications in oceanic investigations, environmental characterization, and subsea surveys where accuracy in positioning and stability for navigation is challenging. AUV proposed in the present work addresses these issues by ut...
Prediction of Celestial Pole Offsets Based on Sliding Window and Bivariate Least Squares Fitting
As an important component of Earth Orientation Parameters (EOP), the prediction of Celestial Pole Offsets (CPO) holds significant importance for missions such as deep space exploration. To explore a better CPO prediction algorithm that improves ac...
Cryogenic Propellant Thermal-Fluid Management for Chemical and Nuclear Spacecraft Propulsion: Importance, Physics, and Zero-Boil-Off Strategies
Cryogenic propellants such as liquid hydrogen (LH₂), liquid oxygen (LOX), and liquid methane (LCH₄) are critical to high-performance chemical and nuclear propulsion systems. However, their storage, transfer, and utilization in space environments a...
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