Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature
A comprehensive review of sustainable bioremediation techniques: Eco friendly solutions for waste and pollution management
Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050
Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021
Pleiotropy, epistasis and the genetic architecture of quantitative traits
A new framework for the diagnosis, staging and management of obesity in adults
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Abstract Clinical decision-making is one of the most impactful parts of a physician’s responsibilities and stands to benefit greatly from artificial intelligence solutions and large language models (LLMs) in particular. However, ...
Proteomic signatures improve risk prediction for common and rare diseases
AbstractFor many diseases there are delays in diagnosis due to a lack of objective biomarkers for disease onset. Here, in 41,931 individuals from the United Kingdom Biobank Pharma Proteomics Project, we integrated measurements of ~3,000 plasma pro...
Tourist acceptance of ChatGPT in travel services: the mediating role of parasocial interaction
Artificial intelligence: revolutionizing robotic surgery: review
Robotic surgery, known for its minimally invasive techniques and computer-controlled robotic arms, has revolutionized modern medicine by providing improved dexterity, visualization, and tremor reduction compared to traditional methods. The integra...
Model-Free Predictive Current Control for Dual Three-Phase PMSM Drives With an Optimal Modulation Pattern
Joint Task Offloading and Resource Allocation in Aerial-Terrestrial UAV Networks With Edge and Fog Computing for Post-Disaster Rescue
Diffusion-Based Reinforcement Learning for Edge-Enabled AI-Generated Content Services
Joint Entity and Relation Extraction With Set Prediction Networks
Multi-Static Target Detection and Power Allocation for Integrated Sensing and Communication in Cell-Free Massive MIMO
Using and Interpreting Fixed Effects Models
ABSTRACTFixed effects (FE) have emerged as a ubiquitous and powerful tool for eliminating unwanted variation in observational accounting studies. Unwanted variation is plentiful in accounting research because we often use rich data to test precise...
Gaussian Process Regression Based Silver Price Forecasts
A significant number of market participants have placed a high level of importance on price estimates for the primary metal commodities for a considerable amount of time. To tackle the problem, we investigate the daily reported price of silver in ...
Canadian Network for Mood and Anxiety Treatments (CANMAT) 2023 Update on Clinical Guidelines for Management of Major Depressive Disorder in Adults: Réseau canadien pour les traitements de l'humeur et de l'anxiété (CANMAT) 2023 : Mise à jour des lignes directrices cliniques pour la prise en charge du trouble dépressif majeur chez les adultes
Background The Canadian Network for Mood and Anxiety Treatments (CANMAT) last published clinical guidelines for the management of major depressive disorder (MDD) in 2016. Owing to advances in the field, an update was needed to ...
The Dark Energy Survey: Cosmology Results with ∼1500 New High-redshift Type Ia Supernovae Using the Full 5 yr Data Set
Abstract We present cosmological constraints from the sample of Type Ia supernovae (SNe Ia) discovered and measured during the full 5 yr of the Dark Energy Survey (DES) SN program. In contrast to most previous cosmological samples, ...
Predictive analytics for market trends using AI: A study in consumer behavior
Predictive analytics, driven by artificial intelligence (AI), is revolutionizing the understanding and forecasting of market trends, particularly in the realm of consumer behavior. This study explores the application of AIpowered predictive analyt...
Market Trends
Academic Publication