What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

The final, formatted version of the article will be published soon. Background and objective. Structured clinical data is essential for research and informed decision-making, yet medical reports are ...

Globally, unstructured data represents 80% to 90% of the world’s digital information. By 2025, that volume is expected to reach 175 zettabytes. Unstructured data is everywhere—medical images, ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...

Background: Global clinical trials collect extensive unstructured medical records that richly describe participants’ clinical presentation, but their narrative format precludes quantitative analysis.

Objectives First, investigate whether a long compared with a short abstract decreases readers’ attention. Second, investigate differences regarding perceptions of informativeness, accuracy, ...

ABSTRACT: The substance of politics generally attracts more interest among political science students than the methodology of studying it. This study assesses the scientific status of political ...

What if you could transform the chaos of unstructured data into actionable insights with just a few tools? Imagine an AI-powered system that not only understands your documents, spreadsheets, and PDFs ...

Abstract: An evaluation method to assess the robustness of invisible watermarking implementations in unstructured digital content, including images, video, audio, documents, and webpages, is described ...