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View article: Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning Open
In recent years, Large Language Models (LLMs) have shown remarkable performance in generating human-like text, proving to be a valuable asset across various applications. However, adapting these models to incorporate new, out-of-domain kno…
View article: Intraurban NO<sub>2</sub> hotspot detection across multiple air quality products
Intraurban NO<sub>2</sub> hotspot detection across multiple air quality products Open
High-resolution air quality data products have the potential to help quantify inequitable environmental exposures over space and across time by enabling the identification of hotspots, or areas that consistently experience elevated polluti…
View article: DeepG2P: Fusing Multi-Modal Data to Improve Crop Production
DeepG2P: Fusing Multi-Modal Data to Improve Crop Production Open
Agriculture is at the heart of the solution to achieve sustainability in feeding the world population, but advancing our understanding on how agricultural output responds to climatic variability is still needed. Precision Agriculture (PA),…
View article: Causal Modeling of Soil Processes for Improved Generalization
Causal Modeling of Soil Processes for Improved Generalization Open
Measuring and monitoring soil organic carbon is critical for agricultural productivity and for addressing critical environmental problems. Soil organic carbon not only enriches nutrition in soil, but also has a gamut of co-benefits such as…
View article: Machine learning can guide experimental approaches for protein digestibility estimations
Machine learning can guide experimental approaches for protein digestibility estimations Open
Food protein digestibility and bioavailability are critical aspects in addressing human nutritional demands, particularly when seeking sustainable alternatives to animal-based proteins. In this study, we propose a machine learning approach…
View article: Machine learning approaches for localized lockdown during COVID-19: a case study analysis
Machine learning approaches for localized lockdown during COVID-19: a case study analysis Open
At the end of 2019, the latest novel coronavirus Sars-CoV-2 emerged as a significant acute respiratory disease that has become a global pandemic. Countries like Brazil have had difficulty in dealing with the virus due to the high socioecon…
View article: A rheological approach to identify efficient biopolymer producing bacteria
A rheological approach to identify efficient biopolymer producing bacteria Open
This study investigates the relationship between collective motion and propulsion of bacterial consortia and their biopolymer production efficiency. Rheological tests were conducted for suspensions of two different methanotrophic bacterial…
View article: On the kinematics-wave motion of living particles in suspension
On the kinematics-wave motion of living particles in suspension Open
This work presents theoretical and experimental analyses on the kinematics-wave motion of suspended active particles in a biological fluid. The fluid is an active suspension of nematodes immersed in a gel-like biological structure, moving …
View article: Pattern Identification on the Nonlinear Radial Motion of an Oscillating Spherical Bubble Using Neural Networks
Pattern Identification on the Nonlinear Radial Motion of an Oscillating Spherical Bubble Using Neural Networks Open
The main goal of this article is to study the oscillatory motion of a spherical gas bubble immersed in a Newtonian liquid subjected to a harmonic pressure excitation. We use the classical Rayleigh-Plesset equation to study the radial motio…