Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Intelligent agriculture: deep learning in UAV-based remote sensing imagery for crop diseases and pests detection
Controlling crop diseases and pests is essential for intelligent agriculture (IA) due to the significant reduction in crop yield and quality caused by these problems. In recent years, the remote sensing (RS) areas has been prevailed over by unmann...
Navigating algorithm bias in AI: ensuring fairness and trust in Africa
This article presents a perspective on the impact of algorithmic bias on information fairness and trust in artificial intelligence (AI) systems within the African context. The author's personal experiences and observations, combined with relevant ...
Microenvironment Engineering of Heterogeneous Catalysts for Liquid-Phase Environmental Catalysis
How Artificial Intelligence (AI) Is Powering New Tourism Marketing and the Future Agenda for Smart Tourist Destinations
Artificial intelligence (AI) is a disruptive technology that is being used by smart tourist destinations (STDs) to develop new business models and marketing services to increase tourists’ experiences and sales, revenue, productivity, and efficienc...
A Review of Antimicrobial Peptides: Structure, Mechanism of Action, and Molecular Optimization Strategies
Antimicrobial peptides (AMPs) are bioactive macromolecules that exhibit antibacterial, antiviral, and immunomodulatory functions. They come from a wide range of sources and are found in all forms of life, from bacteria to plants, vertebrates, and ...
OSN Traits and Vulnerability for Measurement and Analysis
Promises and challenges of generative artificial intelligence for human learning
Integrating Molecular Perspectives: Strategies for Comprehensive Multi-Omics Integrative Data Analysis and Machine Learning Applications in Transcriptomics, Proteomics, and Metabolomics
With the advent of high-throughput technologies, the field of omics has made significant strides in characterizing biological systems at various levels of complexity. Transcriptomics, proteomics, and metabolomics are the three most widely used omi...
Artificial Intelligence in Logistics Optimization with Sustainable Criteria: A Review
In recent years, the integration of artificial intelligence (AI) into logistics optimization has gained significant attention, particularly concerning sustainability criteria. This article provides an overview of the diverse AI models and algorith...
Impacts of renewable energy resources on the weather vulnerability of power systems
Clinical applications and therapeutic potentials of advanced nanoparticles: a comprehensive review on completed human clinical trials
Nanoparticles are attractive therapeutic tools due to their distinctive characteristics, including more accurate drug delivery, improved bioavailability, and enhanced targeted therapy. This review offers a comprehensive analysis of the therapeutic...
The relationship between physical activity and Internet addiction among adolescents in western China: a chain mediating model of anxiety and inhibitory control
Subcutaneous Versus Intravenous Amivantamab, Both in Combination With Lazertinib, in Refractory Epidermal Growth Factor Receptor–Mutated Non–Small Cell Lung Cancer: Primary Results From the Phase III PALOMA-3 Study
PURPOSE Phase III studies of intravenous amivantamab demonstrated efficacy across epidermal growth factor receptor ( EGFR )–mutated advanced non–small cell lung cancer (NSCLC). A subcutaneous ...
Cold and hot tumors: from molecular mechanisms to targeted therapy
AbstractImmunotherapy has made significant strides in cancer treatment, particularly through immune checkpoint blockade (ICB), which has shown notable clinical benefits across various tumor types. Despite the transformative impact of ICB treatment...
Global Metrics for Terrestrial Biodiversity
Biodiversity metrics are increasingly in demand for informing government, business, and civil society decisions. However, it is not always clear to end users how these metrics differ or for what purpose they are best suited. We seek to answer thes...
Meta-analysis accelerator: a comprehensive tool for statistical data conversion in systematic reviews with meta-analysis
Abstract Background Systematic review with meta-analysis integrates findings from multiple studies, offering robust conclusions on treatment effects and guiding evidence-based medicine. However, the process is often...
Large Language Models for Mental Health Applications: Systematic Review
Background Large language models (LLMs) are advanced artificial neural networks trained on extensive datasets to accurately understand and generate natural language. While they have received much attention and demonstrated pote...
Generative AI Applications in Architecture, Engineering, and Construction: Trends, Implications for Practice, Education & Imperatives for Upskilling—A Review
This study investigates the current landscape of generative AI and LLM applications in architecture, engineering, and construction (AEC), focusing on trends, practical implications, educational strategies, and imperatives for upskilling. Employing...
Exploring the Role of Tourist Pro-Environmental Behavior in Autonomous Vehicle Adoption: A TPB and PLS-SEM Approach
As businesses and governments increasingly explore innovative strategies to promote pro-environmental behavior, autonomous vehicles (AVs) have emerged as a key initiative for fostering sustainable communities. However, the specific norms—personal,...
Surface defect inspection of industrial products with object detection deep networks: a systematic review
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