In vitro, bioassay guided identification of anticancer compounds from Vitex negundo Linn. Leaf using T98 glioma cells.

Gliomas, the most devastating of brain tumours, pose immense therapeutic challenges due to the adverse effects of standard chemotherapeutic drugs. Seeking alternatives, natural products have emerged as promising sources for cancer treatment. Vitex negundo, a significant medicinal plant in traditional medicine, offers potential remedies for various ailments. In this study, fractionation via column chromatography isolated fraction #25 from Vitex negundo. Employing 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, wound healing assay, flow cytometry for cell cycle analysis, and HRLC-MS for compound identification, we investigated its effects on glioma cells. Results indicate that fraction #25 significantly reduces glioma cell viability and proliferation, inhibits cell migration in a dose-dependent manner, and arrests the cell cycle at G1 phase. Compound analysis reveals the presence of potent antiproliferative agents, including 7-hydroxy-3,4,5,6,8-pentamethoxyflavone, Virol-B, Momordin Ia, and Oryzalexin A. These findings underscore the potential of Vitex negundo as a source of anticancer compounds against glioma cells.

Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things.

The Internet of Things (IOT)-based smart farming promises ultrafast speeds and near real-time response. Precision farming enabled by the Internet of Things has the potential to boost efficiency and output while reducing water use. Therefore, IoT devices can aid farmers in keeping track crop health and development while also automating a variety of tasks (such as moisture level prediction, irrigation system, crop development, and nutrient levels). The IoT-based autonomous irrigation technique makes exact use of farmers' time, money, and power. High crop yields can be achieved through consistent monitoring and sensing of crops utilizing a variety of IoT sensors to inform farmers of optimal harvest times. In this paper, a smart framework for growing tomatoes is developed, with influence from IoT devices or modules. With the help of IoT modules, we can forecast soil moisture levels and fine-tune the watering schedule. To further aid farmers, a smartphone app is currently in development that will provide them with crucial data on the health of their tomato crops. Large-scale experiments validate the proposed model's ability to intelligently monitor the irrigation system, which contributes to higher tomato yields.