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Abstract: Multivariate time series forecasting estimates future development by capturing variable relationships and constructing temporal regular, which is widely used in many scenarios, including ...

The multifactor logistic regression analysis indicated that a history of diabetes, low preoperative albumin, and ...

Abstract: Deep multitask learning for face analysis has received increasing attentions. From literature, most existing methods focus on optimizing a main task by jointly learning several auxiliary ...

India’s Companies Act requires qualifying companies to spend at least two percent of their average net profits on Corporate ...

A new study published in the journal of Acta Diabetologica showed that in individuals with polycythemia, glycated hemoglobin ...

Large Language Models (LLMs) have emerged as powerful tools for interpreting multimodal data (e.g., images, audio, text), often surpassing specialized models. In medicine, they hold particular promise ...

Objective Sarcopenia, defined by reductions in muscle mass and strength, increases the risk of adverse outcomes in patients with rheumatoid arthritis (RA)—driven in part by chronic inflammation—and is ...

This paper investigates purchasing-power parity (PPP) since the late nineteenth century. I collected data for a group of twenty countries over one hundred years, a larger historical panel of annual ...

The Founder and Principal Researcher at Gazillion Labs is combining bounded stochastic price modeling, market microstructure, ...

Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...

The RSPL Pilgrim Survey-Maha Kumbh 2025 was conducted across 27 sectors between January and February 2025 in Prayagraj, Uttar ...