Isolation of Endophytic Colletotrichum gloeosporioides Penz. from Salacia chinensis and its Antifungal Sensitivity

Salacia chinensis L (Celestraceae), an endangered medicinal plant is well known for its antidiabetic activity. An attempt of in – vitro culturing to micropropagate the plant led to the discovery of an endophytic association of Colletotrichum gloeosporioides Penz. with both stem and leaf of the plants. The fungus did not respond to the lower concentrations of Amphotericin B and Nystatin (upto 60 µg/ml) in the culture medium. However, it was sensitive at a higher concentration of 100µg/ml

AI-driven techniques for controlling the metal melting production: a review, processes, enabling technologies, solutions, and research challenges

Artificial Intelligence has left no stone unturned, and mechanical engineering is one of its biggest consumers. Such technological advancements in metal melting can help in process simplification, hazard reduction, human involvement reduction & lesser process time. Implementing the AI models in the melting technology will ultimately help various industries, i.e., Foundry, Architecture, Jewelry Industry, etc. This review extensively sheds light on Artificial Intelligence models implemented in metal melting processes or the metal melting aspect, alongside explaining additive manufacturing as a competitor to the current melting processes and its advances in metal melting and AI implementations

Laser Calorimetry Spectroscopy for ppm-level Dissolved Gas Detection and Analysis

In this paper we report a newly developed technique - laser calorimetry spectroscopy (LCS), which is a combination of laser absorption spectroscopy and calorimetry - for the detection of gases dissolved in liquids. The technique involves determination of concentration of a dissolved gas by irradiating the liquid with light of a wavelength where the gas absorbs, and measuring the temperature change caused by the absorbance. Conventionally, detection of dissolved gases with sufficient sensitivity and specificity was done by first extracting the gases from the liquid and then analyzing the gases using techniques such as gas chromatography. Using LCS, we have been able to detect ppm levels of dissolved gases without extracting them from the liquid. In this paper, we show the detection of dissolved acetylene in transformer oil in the mid infrared (MIR) wavelength (3021 nm) region

<b>Development of PainFace software to simplify, standardize, and scale up mouse grimace analyses</b>

These files contain the validation data for the development of the PainFace software, an automated mouse grimace platform.</p