Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
The Impact of Artificial Intelligence Marketing on E-Commerce Sales
This review explores the influence of AI marketing on e-commerce sales, examining how AI-driven strategies affect key metrics such as customer acquisition and conversion rates. Given the growing importance of AI in online retail, this paper employ...
Planning for and Assessing Rigor in Rapid Qualitative Analysis (PARRQA): a consensus-based framework for designing, conducting, and reporting
Abstract Background The use of rapid qualitative methods has increased substantially over the past decade in quality improvement and health services research. These methods have gained traction in implementation res...
Recent advances in surface decoration of nanoparticles in drug delivery
Nanoparticulate delivery systems have been attracting attention in pharmaceutical sciences for enhanced drug bioavailability and targeted delivery. Specifically, these systems can enhance the solubility of poorly water-soluble drugs, protect thera...
A multimodal generative AI copilot for human pathology
AbstractComputational pathology1,2 has witnessed considerable progress in the development of both task-specific predictive models and task-agnostic self-supervised vision encoders3,4. However, despite the explosive growth of generative artificial ...
The Promise and Challenges of Inverted Perovskite Solar Cells
A Performance Comparison Study on Climate Prediction in Weifang City Using Different Deep Learning Models
Climate change affects the water cycle, water resource management, and sustainable socio-economic development. In order to accurately predict climate change in Weifang City, China, this study utilizes multiple data-driven deep learning models. The...
A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges
AbstractThe pursuit of more intelligent and credible autonomous systems, akin to human society, has been a long-standing endeavor for humans. Leveraging the exceptional reasoning and planning capabilities of large language models (LLMs), LLM-based...
Integrated Pest Management: An Update on the Sustainability Approach to Crop Protection
The Impact of Digital Marketing on the Performance of SMEs: An Analytical Study in Light of Modern Digital Transformations
This research intends to evaluate the effect on the performance of small and medium enterprises (SMEs) of technological developments, including digital marketing, and to determine the variables that affect the relationship. Because these businesse...
Signaling pathways involved in colorectal cancer: pathogenesis and targeted therapy
AbstractColorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide. Its complexity is influenced by various signal transduction networks that govern cellular proliferation, survival, differentiation, and apopto...
2024 ESC Guidelines for the management of elevated blood pressure and hypertension
Evolving understanding of autoimmune mechanisms and new therapeutic strategies of autoimmune disorders
Abstract Autoimmune disorders are characterized by aberrant T cell and B cell reactivity to the body’s own components, resulting in tissue destruction and organ dysfunction. Autoimmune diseases affect a wide range of people in ma...
Introductory Tutorials for Simulating Protein Dynamics with GROMACS
Whole-brain annotation and multi-connectome cell typing of Drosophila
AbstractThe fruit fly Drosophila melanogaster has emerged as a key model organism in neuroscience, in large part due to the concentration of collaboratively generated molecular, genetic and digital resources available for it. Here we complement th...
Perspectives on improving photosynthesis to increase crop yield
Abstract Improving photosynthesis, the fundamental process by which plants convert light energy into chemical energy, is a key area of research with great potential for enhancing sustainable agricultural productivity and addressing ...
Reinforcement Learning for Patient-Centric Lighting Management System in Healthcare Sector
Deep learning-based approaches for multi-omics data integration and analysis
Abstract Background The rapid growth of deep learning, as well as the vast and ever-growing amount of available data, have provided ample opportunity for advances in fusion and analysis of complex and heterogeneous ...
Digital transformation influence on organisational resilience through organisational learning and innovation
Addressing AI Algorithmic Bias in Health Care
This Viewpoint discusses the bias that exists in artificial intelligence (AI) algorithms used in health care despite recent federal rules to prohibit discriminatory outcomes from AI and recommends ways in which health care facilities, AI developer...
The Elaborate Design of Multi‐Polarization Effect by Non‐Edge Defect Strategy for Ultra‐Broad Microwave Absorption
AbstractAnion defect engineering is proven to be an efficient approach to reconstruct the electronic configuration of carbon‐based magnetoelectric materials for targeted modulation of electromagnetic (EM) performance. However, traditional mono‐ani...
SaaS Metrics
Academic Publication