Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Deepfake: definitions, performance metrics and standards, datasets, and a meta-review
Recent advancements in AI, especially deep learning, have contributed to a significant increase in the creation of new realistic-looking synthetic media (video, image, and audio) and manipulation of existing media, which has led to the creation of...
A Systematic Review of Synthetic Data Generation Techniques Using Generative AI
Synthetic data are increasingly being recognized for their potential to address serious real-world challenges in various domains. They provide innovative solutions to combat the data scarcity, privacy concerns, and algorithmic biases commonly used...
Detection and spread of high pathogenicity avian influenza virus H5N1 in the Antarctic Region
AbstractUntil recent events, the Antarctic was the only major geographical region in which high pathogenicity avian influenza virus (HPAIV) had never previously been detected. Here we report on the detection of clade 2.3.4.4b H5N1 HPAIV in the Ant...
A fingertip-wearable microgrid system for autonomous energy management and metabolic monitoring
Developing clinical prediction models: a step-by-step guide
Graph Attention Networks: A Comprehensive Review of Methods and Applications
Real-world problems often exhibit complex relationships and dependencies, which can be effectively captured by graph learning systems. Graph attention networks (GATs) have emerged as a powerful and versatile framework in this direction, inspiring ...
Integrative Approaches to Abiotic Stress Management in Crops: Combining Bioinformatics Educational Tools and Artificial Intelligence Applications
Abiotic stresses, including drought, salinity, extreme temperatures and nutrient deficiencies, pose significant challenges to crop production and global food security. To combat these challenges, the integration of bioinformatics educational tools...
Deep Learning-Infused Hybrid Security Model for Energy Optimization and Enhanced Security in Wireless Sensor Networks
Bin2cell reconstructs cells from high resolution Visium HD data
Abstract Summary Visium HD by 10X Genomics is the first commercially available platform capable of capturing full scale transcriptomic data paired with a reference morphology image from ar...
Biomedical knowledge graph-optimized prompt generation for large language models
Abstract Motivation Large language models (LLMs) are being adopted at an unprecedented rate, yet still face challenges in knowledge-intensive domains such as biomedicine. Solutions such as pretra...
Cultural bias and cultural alignment of large language models
Abstract Culture fundamentally shapes people’s reasoning, behavior, and communication. As people increasingly use generative artificial intelligence (AI) to expedite and automate personal and professional tasks, cultural values embe...
A Multifunctional Hydrogel with Photothermal Antibacterial and AntiOxidant Activity for Smart Monitoring and Promotion of Diabetic Wound Healing
AbstractPersistent oxidative stress and bacterial infection are significant challenges that impede diabetic wound healing. By combining diagnosis and treatment, pH variation on the wound tissue can be monitored in real time, and precise treatment ...
Multiple myeloma: 2024 update on diagnosis, risk‐stratification, and management
AbstractDisease overviewMultiple myeloma accounts for approximately 10% of hematologic malignancies.DiagnosisThe diagnosis requires ≥10% clonal bone marrow plasma cells or a biopsy proven plasmacytoma plus evidence of one or more multiple myeloma ...
The impact of Fintech on corporate carbon emissions: Towards green and sustainable development
AbstractFintech, as the fusion of finance and technology, has not only transformed the traditional financial industry and contributed to reshaping the real economy. But also, it holds the potential to offer a feasible solution for achieving green ...
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned
AbstractThere has been an explosion of data collected about sports. Because such data is extremely rich and complex, machine learning is increasingly being used to extract actionable insights from it. Typically, machine learning is used to build m...
A survey on large language models for recommendation
Impact of government support policies on entrepreneurial orientation and SME performance
AbstractSmall and medium enterprises (SMEs) are often resource-constrained and motivated by necessity or opportunity. They play an essential role in national economies due to their contributions to employment, human capital development, knowledge ...
Impact of Organizational Culture on The Level of Corporate Social Responsibility Investments: An Exploratory Study
Arctic puffin optimization: A bio-inspired metaheuristic algorithm for solving engineering design optimization
Blood-sucking leech optimizer
SaaS Metrics
Academic Publication