Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
MOF-Based Electrocatalysts: An Overview from the Perspective of Structural Design
Finite-time output-feedback fault tolerant adaptive fuzzy control framework for a class of MIMO saturated nonlinear systems
From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI
The exponential growth of connected devices and sensor networks has revolutionized data collection and monitoring across industries, from healthcare to smart cities. However, the true value of these systems lies not merely in gathering data but in...
Tailoring Activation Intermediates of CO2 Initiates C–N Coupling for Highly Selective Urea Electrosynthesis
The Impact of Artificial Intelligence (AI) on Students’ Academic Development
The integration of Artificial Intelligence (AI) in education has transformed academic learning, offering both opportunities and challenges for students’ development. This study investigates the impact of AI technologies on students’ learning proce...
Green Analytical Chemistry—Recent Innovations
Green analytical chemistry represents a transformative approach to analytical science, emphasizing sustainability and environmental stewardship while maintaining high standards of accuracy and precision. This review highlights recent innovations i...
Status report on the fourth round of the NIST post-quantum cryptography standardization process
The National Institute of Standards and Technology is selecting public-key cryptographic algorithms through a public, competition-like process. The new public-key cryptography standards will specify additional digital signatures, public-key encryp...
Bias recognition and mitigation strategies in artificial intelligence healthcare applications
Antiageing strategy for neurodegenerative diseases: from mechanisms to clinical advances
Abstract In the context of global ageing, the prevalence of neurodegenerative diseases and dementia, such as Alzheimer’s disease (AD), is increasing. However, the current symptomatic and disease-modifying therapies have achieved limited ...
A comprehensive review of methodologies and application to use the real-world data and analytics platform TriNetX
Randomized controlled trials (RCTs) are the gold standard for evaluating the efficacy and safety of both pharmacological and non-pharmacological interventions. However, while they are designed to control confounders and ensure internal validity, t...
GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present
Landscape of small nucleic acid therapeutics: moving from the bench to the clinic as next-generation medicines
Abstract The ability of small nucleic acids to modulate gene expression via a range of processes has been widely explored. Compared with conventional treatments, small nucleic acid therapeutics have the potential to achieve long-...
Differential roles of deterministic and stochastic processes in structuring soil bacterial ecotypes across terrestrial ecosystems
Hydrogen Storage Technology, and Its Challenges: A Review
This paper aims to present an overview of the current state of hydrogen storage methods, and materials, assess the potential benefits and challenges of various storage techniques, and outline future research directions towards achieving effective,...
Transformational leadership and firm performance: a systematic literature review
Advancing Dye Degradation: Integrating Microbial Metabolism, Photocatalysis, and Nanotechnology for Eco-Friendly Solutions
Textile dyes pose a major environmental threat due to their toxicity, persistence in water bodies, and resistance to conventional wastewater treatment. To address this, researchers have explored biological and physicochemical degradation methods, ...
Foundation models in bioinformatics
ABSTRACT With the adoption of foundation models (FMs), artificial intelligence (AI) has become increasingly significant in bioinformatics and has successfully addressed many historical challenges, such as pre-training frameworks, mo...
Artificial Intelligence in Financial and Supply Chain Optimization: Predictive Analytics for Business Growth and Market Stability in The USA
This study investigates the application of Artificial Intelligence (AI) and Machine Learning (ML) in optimizing supply chain operations and financial forecasting in the USA. The research examines how AI-driven predictive analytics can foster busin...
Implementing large language models in healthcare while balancing control, collaboration, costs and security
Rapid and Highly Selective Dopamine Sensing with CuInSe2-Modified Nanocomposite
As an important neurotransmitter, the concentration of dopamine (DA) reflects certain physiological conditions and DA-related diseases. Rapid monitoring of DA levels is of great significance in regulating body health. However, regular electrochemi...
SaaS Metrics
Academic Publication