A Versatile, Machine-Learning-Enhanced RF Spectral Sensor for Developing a Trunk Hydration Monitoring System in Smart Agriculture.

This paper comprehensively explores the development of a standalone and compact microwave sensing system tailored for automated radio frequency (RF) scattered parameter acquisitions. Coupled with an emitting RF device (antenna, resonator, open waveguide), the system could be used for non-invasive monitoring of external matter or latent environmental variables. Central to this design is the integration of a NanoVNA and a Raspberry Pi Zero W platform, allowing easy recording of S-parameters (scattering parameters) in the range of the 50 kHz-4.

Real-time gas mass spectroscopy by multivariate analysis.

Early and significant results for a real-time, column-free miniaturized gas mass spectrometer in detecting target species with partial overlapping spectra are reported. The achievements have been made using both nanoscale holes as a nanofluidic sampling inlet system and a robust statistical technique. Even if the presented physical implementation could be used with gas chromatography columns, the aim of high miniaturization requires investigating its detection performance with no aid.

Sensing Technology for Fish Freshness and Safety: A Review.

Standard analytical methods for fish freshness assessment are based on the measurement of chemical and physical attributes related to fish appearance, color, meat elasticity or texture, odor, and taste. These methods have plenty of disadvantages, such as being destructive, expensive, and time consuming. All these techniques require highly skilled operators.

A Non-Invasive Soil Moisture Sensing System Electronic Architecture: A Real Environment Assessment.

This paper will show the electronic architecture of a portable and non-invasive soil moisture system based on an open rectangular waveguide. The spectral information, measured in the range of 1.5-2.

Brain metastases in patients with advanced breast cancer.

Background: The incidence of brain metastases (BM) is apparently rising in patients with advanced breast cancer (ABC). We performed a case control study to define current features of breast cancer related to central nervous system (CNS) metastases.

Patients And Methods: From March 1999 to May 2006, we identified 72 patients with symptomatic BM of breast cancer.