Abstract: A waste management system includes a waste management device, a monitoring unit, and a communication unit. The waste management device includes a collection unit, a classification unit, a segregation unit, a plurality of sensors, a power unit, and a plurality of waste bins. The collection unit collects one or more waste articles. The classification unit utilizes a machine-learning model and identifies a waste category of the one or more waste articles. The segregation unit transports the one or more waste articles to a particular waste bin corresponding to the identified waste category. The power unit supplies power to the waste management device. The monitoring unit monitors the waste management device and controls a resultant action. The communication unit communicates one or more data between a control station and the waste management device using a plurality of IoT devices.

Abstract: Provided herein are compositions comprising an alkaloid compound of formula (I) having the structure: (I) wherein R1 is H or CH3, and R2 is H or PO3H2; or pharmaceutically acceptable salt thereof in combination with a therapeutically effective amount of crocin. Such compositions may be useful in treatment of anxiety disorder. Further provided herein are methods for treatment of anxiety disorder comprising administering to a patient in need thereof a therapeutically effective amount of an alkaloid compound having the structure: (I) wherein R1 is H or CH3, and R2 is H or PO3H2; or pharmaceutically acceptable salt thereof in combination with a therapeutically effective amount of crocin. Optionally, the amounts are synergistic and together provide an enhanced therapeutic effect.

Abstract: The application provides methods of prognosing and classifying lung cancer patients into poor survival groups or good survival groups by way of a multigene signature, comprising at least 5 genes from Table 3. The application also includes kits and computer products for use in the methods of the application.

Abstract: The application provides methods of prognosing and classifying lung cancer patients into poor survival groups or good survival groups and for determining the benefit of adjuvant chemotherapy by way of a multigene signature. The application also includes kits and computer products for use in the methods of the application.