Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Business News and Business Cycles
ABSTRACTWe propose an approach to measuring the state of the economy via textual analysis of business news. From the full text of 800,000 Wall Street Journal articles for 1984 to 2017, we estimate a topic model that summarizes business news into i...
Forecasts of thermal coal prices through Gaussian process regressions
Given thermal coal's significance as a tactical energy source, price projections for the commodity are crucial for investors and decision-makers alike. The goal of the current work is to determine whether Gaussian process regressions are useful fo...
Household food security in the United States in 2023
This report provides statistics on food security in U.S. households throughout 2023 based on the Current Population Survey Food Security Supplement data collected by the U.S. Department of Commerce, Bureau of the Census, in December 2023. An esti...
Self-Planning Code Generation with Large Language Models
Although large language models (LLMs) have demonstrated impressive ability in code generation, they are still struggling to address the complicated intent provided by humans. It is widely acknowledged that humans typically employ planning to decom...
Self-Collaboration Code Generation via ChatGPT
Although large language models (LLMs) have demonstrated remarkable code-generation ability, they still struggle with complex tasks. In real-world software development, humans usually tackle complex tasks through collaborative teamwork, a strategy ...
Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education
This paper presents a novel framework, artificial intelligence-enabled intelligent assistant (AIIA), for personalized and adaptive learning in higher education. The AIIA system leverages advanced AI and natural language processing (NLP) techniques...
2024 ESC Guidelines for the management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS)
2024 ESC Guidelines for the management of chronic coronary syndromes
2024 ESC Guidelines for the management of peripheral arterial and aortic diseases
Accelerating growth of human coastal populations at the global and continent levels: 2000–2018
A framework for human evaluation of large language models in healthcare derived from literature review
AbstractWith generative artificial intelligence (GenAI), particularly large language models (LLMs), continuing to make inroads in healthcare, assessing LLMs with human evaluations is essential to assuring safety and effectiveness. This study revie...
Bilingual language model for protein sequence and structure
Abstract Adapting language models to protein sequences spawned the development of powerful protein language models (pLMs). Concurrently, AlphaFold2 broke through in protein structure prediction. Now we can systematically and comp...
Cover crop root exudates impact soil microbiome functional trajectories in agricultural soils
Industry needs for practical lithium-metal battery designs in electric vehicles
Decreases in purchases of energy, sodium, sugar, and saturated fat 3 years after implementation of the Chilean food labeling and marketing law: An interrupted time series analysis
Background In 2016, Chile implemented a multiphase set of policies that mandated warning labels, restricted food marketing to children, and banned school sales of foods and beverages high in nutrients of concern (“high-in” foods). Chile’s law, par...
Global-scale water security and desertification management amidst climate change
Hydrate Technologies for CO2 Capture and Sequestration: Status and Perspectives
Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook
In the complex and multidimensional field of medicine, multimodal data are prevalent and crucial for informed clinical decisions. Multimodal data span a broad spectrum of data types, including medical images (eg, MRI and CT scans), time-series dat...
A Review of Urban Digital Twins Integration, Challenges, and Future Directions in Smart City Development
This review paper explores Urban Digital Twins (UDTs) and their crucial role in developing smarter cities, focusing on making urban areas more sustainable and well-planned. The methodology adopted an extensive literature review across multiple aca...
User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review
Background There are numerous mobile health (mHealth) interventions for treatment adherence and self-management; yet, little is known about user engagement or interaction with these technologies. ...
SaaS Metrics
Academic Publication