Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Generative AI in international hotel marketing: impacts on employee creativity and performance
Purpose This study aims to explore how generative AI enhances employee creativity and performance in international hotel marketing. It applies an integrated technology–organization–environment (TOE) and antecedents–behavior–conse...
Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education
Global burden of cardiovascular diseases: projections from 2025 to 2050
Abstract Aims The prediction of future trends in cardiovascular disease (CVD) mortality and their risk factors can assist policy-makers in healthcare planning. This study aims to project geospati...
The Consolidated Framework for Implementation Research (CFIR) User Guide: a five-step guide for conducting implementation research using the framework
Abstract Background The Consolidated Framework for Implementation Research (CFIR) is a determinant framework that includes constructs from many implementation theories, models, and frameworks; it is used to predi...
Scalable emulation of protein equilibrium ensembles with generative deep learning
Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. We introduce BioEmu, a deep learning system that emulates protein equilibrium ensembles by gene...
Extracellular vesicle-based drug overview: research landscape, quality control and nonclinical evaluation strategies
Abstract Extracellular vesicles share lipid‒protein membranes with their parent cells, allowing for the targeted transfer of bioactive cargo to recipient cells for functional modulation. The biological features allow extracellular vesicl...
Treasure Hunting for Brands: Metaverse Marketing Gamification Effects on Purchase Intention, WOM, and Loyalty
Cancer stem cells: landscape, challenges and emerging therapeutic innovations
Abstract Cancer stem cells (CSCs) constitute a highly plastic and therapy-resistant cell subpopulation within tumors that drives tumor initiation, progression, metastasis, and relapse. Their ability to evade conventional treatments, adap...
ESGO–ESTRO–ESP guidelines for the management of patients with endometrial carcinoma: update 2025
Emerging Trends in Active Packaging for Food: A Six-Year Review
The development of active food packaging has evolved rapidly in recent years, offering innovative solutions to enhance food preservation and safety while addressing sustainability challenges. This review compiles and analyzes recent advancements (...
Development of a Polymerase Chain Reaction Protocol for Detection of Xylella fastidiosa in Plant Tissue
A 7.4-kb EcoRI fragment of genomic DNA of Xylella fastidiosa strain PCE-RR (ATCC 35879) was used as a probe and was conserved in 18 strains of Xylella. The nucleotide sequence of a 1.0-kb internal EcoRV portion of the fragment was determined, and ...
Isolation and Analysis of Double-Stranded RNA from Virus-Infected Plant and Fungal Tissue
A simple, rapid method for the isolation of double-stranded RNA (dsRNA) from virus-infected plant and fungal tissues provides a new approach to virus detection and identification. Diseased tissue was phenol-extracted to isolate cellular nucleic ac...
What Is Quantitative Research? An Overview and Guidelines
In an era of data-driven decision-making, a comprehensive understanding of quantitative research is indispensable. Current guides often provide fragmented insights, failing to offer a holistic view, while more comprehensive sources remain lengthy ...
Effects of Rhizosphere Colonization by Plant Growth-Promoting Rhizobacteria on Potato Plant Development and Yield
Two strains of fluorescent Pseudomonas spp. isolated from potato periderms and from celery roots significantly increased growth of potato plants up to 500% greater than controls in greenhouse assays. Mutants of these plant growth-promoting rhizoba...
RIS-Assisted Physical Layer Security in Emerging RF and Optical Wireless Communications Systems: A Comprehensive Survey
GetDist: a Python package for analysing Monte Carlo samples
Abstract Monte Carlo techniques, including MCMC and other methods, are widely used in Bayesian inference to generate sets of samples from a parameter space of interest. The Python GetDist package provides tools for analysing th...
ModelArchive: A Deposition Database for Computational Macromolecular Structural Models
A 3D Memristive Cubic Map With Dual Discrete Memristors: Design, Implementation, and Application in Image Encryption
AlphaFold Protein Structure Database and 3D-Beacons: New Data and Capabilities
Using thematic analysis in qualitative research
SaaS Metrics
Academic Publication