Abstract: The present disclosure relates to a method for generating a synthetic promoter and/or terminator, the method comprising: obtaining gene sequences, such as functional sequences and/or coding sequences, of genomes of multiple closely related species; identifying activity regulating features, by calculating a correlation coefficient between parameters of the statistical model and features scores of the FMS, and recognizing said activity regulating features as model features of which said correlation coefficient is above a predetermined threshold, such as 0.

Abstract: A wearable device includes at least one attachment member and an electrodermal activity (EDA) sensor comprising an integrated electrode pair physically coupled to the at least one attachment member. The electrodermal activity sensor is configured to provide an EDA signal in response to contact between the integrated electrode pair and a skin surface of a user. The integrated electrode pair includes at least two concentric electrodes radially separated by at least one insulator. Each of the at least two concentric electrodes includes an upper surface configured to contact the skin surface of the user in order to generate the EDA signal.

Abstract: An example plant monitoring system can include sensors connected to a horticultural monitor. The sensors can measure the soil, the environment, individual plant characteristics, etc. At least one horticultural monitor can send sensor data to a local beacon. The local beacon can then receive the data and send it to cloud resources which can process the data. The cloud resources can determine the health of the plant and monitor its development. A user can track this health and development using an interaction device.

Abstract: An example plant monitoring system can include sensors connected to a horticultural monitor. The sensors can measure the soil, the environment, individual plant characteristics, etc. At least one horticultural monitor can send sensor data to a local beacon. The local beacon can then receive the data and send it to cloud resources which can process the data. The cloud resources can determine the health of the plant and monitor its development. A user can track this health and development using an interaction device.