Analysis of Clinical Characteristics and Treatment Trends in Hospitalized Patients with Cardiovascular Diseases in the Baise ...

Discover how precedent transaction analysis evaluates company value using past acquisition prices. Understand key factors, data sources, and its advantages and challenges.

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

Objective In Indonesia, the second most natural disaster-prone country in the world, the tobacco industry exploits such crises via corporate social responsibility. The objective of this study was to ...

Background Inflammatory bowel disease (IBD) arises from complex interactions among diet, host and gut microbiome. Although diet influences intestinal inflammation, the microbial and metabolic pathways ...

Background Inflammatory bowel disease (IBD) patients in China exhibit critically low levels of physical activity, yet evidence for telemedicine-based aerobic exercise interventions remains scarce, ...

Abstract: The high penetration of inverter-based resources (IBRs) in power systems has brought challenges to system frequency stability due to reduced inertia. The conventional method for frequency ...

ThoughtSpot is at the heart of new 'modern data stack' helping UK food brand Huel find answers more quickly than it used to with Business Intelligence Huel, a privately held UK food brand that's all ...

The effort is drawing bipartisan support and is expected to come up again next year as officials grapple with the artificial intelligence boom’s side effects. States facing drought and dwindling ...

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...

Forbes contributors publish independent expert analyses and insights. Kate O’Flaherty is a cybersecurity and privacy journalist. Meta has confirmed it will collect interactions with its AI tools to ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.