Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors
This paper explores how artificial intelligence (AI) may impact the strategic decision-making (SDM) process in firms. We illustrate how AI could augment existing SDM tools and provide empirical evidence from a leading accelerator program and a sta...
JBI critical appraisal checklist for systematic reviews and research syntheses (product review)
The purpose of this product review is to highlight the Joanna Briggs Institute’s (JBI) Critical appraisal checklist for systematic reviews and research syntheses. This review will elucidate the strengths and weaknesses of the checklist, and indica...
Metal organic frameworks for wastewater treatment, renewable energy and circular economy contributions
Large Language Models for Software Engineering: A Systematic Literature Review
Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engineering (SE). Many recent publications have explored LLMs applied to various SE tasks. Nevertheless, a comprehensive understanding of the application...
Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data Generation, Main Hurdles, and Future Perspectives
The field of personalized medicine is undergoing a transformative shift through the integration of multi-omics data, which mainly encompasses genomics, transcriptomics, proteomics, and metabolomics. This synergy allows for a comprehensive understa...
Advancements in Agricultural Ground Robots for Specialty Crops: An Overview of Innovations, Challenges, and Prospects
Robotic technologies are affording opportunities to revolutionize the production of specialty crops (fruits, vegetables, tree nuts, and horticulture). They offer the potential to automate tasks and save inputs such as labor, fertilizer, and pestic...
Confusion Matrix-Based Performance Evaluation Metrics
Global burden of cancer and associated risk factors in 204 countries and territories, 1980–2021: a systematic analysis for the GBD 2021
Ab initio characterization of protein molecular dynamics with AI2BMD
Coherent growth of high-Miller-index facets enhances perovskite solar cells
Autonomous mobile robots for exploratory synthetic chemistry
AbstractAutonomous laboratories can accelerate discoveries in chemical synthesis, but this requires automated measurements coupled with reliable decision-making1,2. Most autonomous laboratories involve bespoke automated equipment3–6, and reaction ...
Efficient green InP-based QD-LED by controlling electron injection and leakage
Predicting the subcellular location of prokaryotic proteins with DeepLocPro
Abstract Motivation Protein subcellular location prediction is a widely explored task in bioinformatics because of its importance in proteomics research. We propose DeepLocPro, an extensio...
lefser: implementation of metagenomic biomarker discovery tool, LEfSe, in R
Abstract Summary LEfSe is a widely used Python package and Galaxy module for metagenomic biomarker discovery and visualization, utilizing the Kruskal–Wallis test, Wilcoxon Rank-Sum test, and Line...
How to Assess and Predict Electrical Double Layer Properties. Implications for Electrocatalysis
A Universal Interfacial Reconstruction Strategy Based on Converting Residual Alkali for Sodium Layered Oxide Cathodes: Marvelous Air Stability, Reversible Anion Redox, and Practical Full Cell
Specific Adsorption of Alkaline Cations Enhances CO–CO Coupling in CO2 Electroreduction
A Comprehensive Review of Deep Learning: Architectures, Recent Advances, and Applications
Deep learning (DL) has become a core component of modern artificial intelligence (AI), driving significant advancements across diverse fields by facilitating the analysis of complex systems, from protein folding in biology to molecular discovery i...
Machine Learning-Assisted Surface-Enhanced Raman Spectroscopy Detection for Environmental Applications: A Review
Pre-owned housing price index forecasts using Gaussian process regressions
Purpose The purpose of this study is to make property price forecasts for the Chinese housing market that has grown rapidly in the last 10 years, which is an important concern for both government and investors. Design/methodology/approach This s...
SaaS Metrics
Academic Publication