Electropneumatic transducer automatically limits motor current

Pneumatic controller regulates the load on a centrifugal freon compressor in a water cooling system, thus limiting the current input to an electric motor driving it. An electromechanical transducer monitoring the motor input current sends out air signals which indicate changes in the current to the pneumatic controller

Multi-Generational Effects of ∆9-Tetrahydrocannabinol Exposure on Gene Expression in Liver Tissue

Cannabis is the most commonly used, cultivated, and trafficked illicit drug worldwide. Increased availability and acceptance of cannabis and cannabinoid-containing products provide the necessity for understanding how these substances influence aging. In this study, zebrafish (Danio rerio) were exposed to concentrations of Δ9-tetrahydrocannabinol (THC) (0.08, 0.4, 2 µM) during embryonic-larval development, the effects on aging were measured 30 months later and in the offspring of the exposed fish (F1 generation. We observed results indicating a biphasic and hormetic effect. Treatment with the lowest concentration of THC significantly increased egg production, while higher concentrations resulted in impaired fecundity. Treatment with the lowest dose of THC also significantly reduced wet weight, the incidence of kyphosis, and the expression of several senescence and inflammatory markers (p16, tnfα, il-1β, il-6, pparα, and pparγ) in the liver, but not at higher doses. Within the F1 generation, many of these changes were not observed, such as the changes in gene expression in genes related to cell senescence and inflammation. However, the reduction in fecundity due to THC exposure was adversely impacted in the F1 generation, because offspring whose parents received a high dose of THC were completely unable to reproduce. Together, our results demonstrate that a developmental exposure to THC can cause significant effects on longevity and health span of zebrafish in a dose-dependent biphasic manner

Estimating Length Statistics of Aggregate Fried Potato Product via Electromagnetic Radiation Attenuation

This work investigates the feasibility of using non-destructive testing, in particular radiation tomography, to recover length statistics from aggregates of fried batonnet cut potato. Non-destructive testing comprises a variety of useful techniques for determining properties of an object that might otherwise require altering or destroying the object physically. Tomography is a common form of non-destructive testing used primarily to infer properties internal to an object. This process involves exposing the object of interest to radiation and detecting the quantity of radiation energy that penetrates the object, usually resulting in a grey scale image. To do this, an artificial data pipeline is developed in order to obtain annotated examples. This pipeline allows faster data collection than can be done in a real production environment coupled with the ability to control all aspects of the resulting images. Additionally, these examples are used to train a convolutional neural network, a widely successful machine learning algorithm for image processing. The network learns a relation between the images and the length estimates and can then be used to provide length estimates on novel examples. Results show that with careful preparation and enough expected variation in the product being inspected, the image resulting from radiation tomography contains enough information to recover estimates of the lengths of the product with significantly less expected error than a naive baseline