Open Soil Spectral Library (OSSL): Building reproducible soil calibration models through open development and community engagement.

Soil spectroscopy is a widely used method for estimating soil properties that are important to environmental and agricultural monitoring. However, a bottleneck to its more widespread adoption is the need for establishing large reference datasets for training machine learning (ML) models, which are called soil spectral libraries (SSLs). Similarly, the prediction capacity of new samples is also subject to the number and diversity of soil types and conditions represented in the SSLs.

Stepwise isolation of diverse metabolic cell populations using sorting by interfacial tension (SIFT).

We present here a passive and label-free droplet microfluidic platform to sort cells stepwise by lactate and proton secretion from glycolysis. A technology developed in our lab, Sorting by Interfacial Tension (SIFT), sorts droplets containing single cells into two populations based on pH by using interfacial tension. Cellular glycolysis lowers the pH of droplets through proton secretion, enabling passive selection based on interfacial tension and hence single-cell glycolysis.

Fostering consumer engagement in online shopping: Assessment of environmental video messages in driving purchase intentions toward green products.

Due to environmental concerns and the growing emphasis on sustainable consumption, educating consumers and promoting eco-friendly products are paramount. In this perspective, this research aims to investigate the effect of the tone of video messages delivered just before the decision-making process on visual attention, environmental awareness, and the tendency to consume green products on online platforms. In view of the Regulatory Focus Theory, the study employs a dual-method approach, integrating eye-tracking as a neuromarketing tool and a questionnaire to enhance the reliability of findings.

Stepwise Isolation of Diverse Metabolic Cell Populations Using Sorting by Interfacial Tension (SIFT).

We present here a passive and label-free droplet microfluidic platform to sort cells stepwise by lactate and proton secretion from glycolysis. A technology developed in our lab, Sorting by Interfacial Tension (SIFT), sorts droplets containing single cells into two populations based on pH by using interfacial tension. Cellular glycolysis lowers the pH of droplets through proton secretion, enabling passive selection based on interfacial tension and hence single-cell glycolysis.