Abstract: Methods and systems of using at least one hardware processor to train a machine learning algorithm to identify one or more predictive drug molecular features and/or predictive gene biomarkers for cancer treatment is provided. In some embodiments, the method uses at least one cancer drug discovery data set to train at least one learning algorithm in a prediction model, and uses a xenograft mouse model to validate the prediction model, with biological response fed back to the prediction model to further train the learning algorithm.

Abstract: Methods and systems of using at least one hardware processor to train a machine learning algorithm to identify one or more predictive drug molecular features and/or predictive gene biomarkers for cancer treatment is provided. In some embodiments, the method uses at least one cancer drug discovery data set to train at least one learning algorithm in a prediction model, and uses a xenograft mouse model to validate the prediction model, with biological response fed back to the prediction model to further train the learning algorithm.

Abstract: A wave energy converter is disclosed which includes a V-shaped floating frame having a first section and a second section that is narrower than the first section so as to form a V-shaped structure which is hollow in the middle, an anchor base mounted at the bottom of the sea and connected to the V-shaped floating frame at the first end by a set of chords, a first bucket turbine and a second bucket turbine placed in the hollow section and connected to second section so that they are partially submerged in the sea, and an electricity converting assembly operable to receive and convert energy generated by both first bucket turbine and said second bucket turbine into electricity.

Abstract: A method is implemented by a computing device to configure and monitor a virtual application in a cloud environment. The method includes generating instructions for configuring and monitoring the virtual application based on configuration data for the virtual application, modifying an injection virtual appliance image to include the instructions for configuring and monitoring the virtual application, where the injection virtual appliance image is a template for instantiating an injection virtual appliance (e.g., a software container or unikernel) that is to configure and monitor the virtual application according to the instructions, modifying a virtual application deployment descriptor for the virtual application to indicate that the injection virtual appliance is to be injected into the virtual application, and causing the virtual application, with the injection virtual appliance, to be deployed in the cloud environment using the modified virtual application deployment descriptor.

Abstract: Provided herein are methods of treating a cancer in a subject using a CLK inhibitor or pharmaceutically acceptable salt or solvate thereof.

Abstract: A self-watering modular planter and method of use and fabricating the same are disclosed which includes a plurality of modular trays having a growing medium and a water tank; an extendable frame skeleton capable of inserting into each of plurality of modular trays to secure the plurality of modular trays; an array of capillary tubes, disposed vertically along the top surface and in fluid communication with said water tank, configured to provide water to soils in each modular tray by the capillary action.

Abstract: An Internet of Things (IoT) BIoTower™ for recycling food wastes into nutrients and for growing organic plants is disclosed which includes a food waste disposable tower for receiving food wastes; a multi-leveled carousels connected to the food waste disposable tower, each containing soils infested with earthworms; and an Internet of Things (IoT) irrigation system designed to provide sustainability to the soils and the organic plants.

Abstract: A method is implemented by a computing device to configure and monitor a virtual application in a cloud environment. The method includes generating instructions for configuring and monitoring the virtual application based on configuration data for the virtual application, modifying an injection virtual appliance image to include the instructions for configuring and monitoring the virtual application, where the injection virtual appliance image is a template for instantiating an injection virtual appliance (e.g., a software container or unikernel) that is to configure and monitor the virtual application according to the instructions, modifying a virtual application deployment descriptor for the virtual application to indicate that the injection virtual appliance is to be injected into the virtual application, and causing the virtual application, with the injection virtual appliance, to be deployed in the cloud environment using the modified virtual application deployment descriptor.

Abstract: A method is implemented by a computing device to configure and monitor a virtual application in a cloud environment. The method includes generating instructions for configuring and monitoring the virtual application based on configuration data for the virtual application, modifying an injection virtual machine (VM) image to include the instructions for configuring and monitoring the virtual application, where the injection VM image is a template for instantiating an injection VM that is to configure and monitor the virtual application according to the instructions, modifying a virtual application deployment descriptor for the virtual application to indicate that the injection VM is to be injected into the virtual application, and causing the virtual application, with the injection VM, to be deployed in the cloud environment using the modified virtual application deployment descriptor.

Abstract: A method is implemented by a computing device to configure and monitor a virtual application in a cloud environment. The method includes generating instructions for configuring and monitoring the virtual application based on configuration data for the virtual application, modifying an injection virtual machine (VM) image to include the instructions for configuring and monitoring the virtual application, where the injection VM image is a template for instantiating an injection VM that is to configure and monitor the virtual application according to the instructions, modifying a virtual application deployment descriptor for the virtual application to indicate that the injection VM is to be injected into the virtual application, and causing the virtual application, with the injection VM, to be deployed in the cloud environment using the modified virtual application deployment descriptor.

Abstract: A combination of capillary forces and gas pressure is used to control the movement of liquid samples within a microfluidic device. A liquid sample introduced to a proximal portion of a capillary channel of a microfluidic device moves by capillary action partway along the capillary channel. As the liquid sample moves, a pressure of a gas acting upon a distal gas-liquid interface of the liquid sample increases by an amount sufficient to stop further movement of the liquid sample. To initiate further movement of the liquid sample, a pump connected to a distal portion of the capillary channel decreases the pressure of the gas acting upon the distal gas-liquid interface of the liquid sample by an amount sufficient to permit the liquid sample to move by capillary action further along the capillary channel of the microfluidic device.

Abstract: A combination of capillary forces and gas pressure is used to control the movement of liquid samples within a microfluidic device. A liquid sample introduced to a proximal portion of a capillary channel of a microfluidic device moves by capillary action partway along the capillary channel. As the liquid sample moves, a pressure of a gas acting upon a distal gas-liquid interface of the liquid sample increases by an amount sufficient to stop further movement of the liquid sample. To initiate further movement of the liquid sample, a pump connected to a distal portion of the capillary channel decreases the pressure of the gas acting upon the distal gas-liquid interface of the liquid sample by an amount sufficient to permit the liquid sample to move by capillary action further along the capillary channel of the microfluidic device.