Abstract: Semiconductor structures are provided. The semiconductor structure includes a substrate and nanostructures formed over the substrate. In addition, the nanostructures includes channel regions and source/drain regions. The semiconductor structure further includes a gate structure vertically sandwiched the channel regions of the nanostructures and a contact wrapping around and vertically sandwiched between the source/drain regions of the nanostructures.

Abstract: An electronic device includes a metal back cover, a metal frame, and a first, second, third, and fourth radiators. The metal frame includes a discrete part and two connection parts. The connection parts are located by two sides of the discrete part, separated from the discrete part, and connected to the metal back cover. A U-shaped slot is formed between the discrete part and the metal back cover and between the discrete part and the connection parts. The first radiator is separated from the discrete part and includes a feed end. The second, third, and fourth radiators are connected to the discrete part and the metal back cover. The third radiator is located between the first and second radiators. The first radiator is located between the third and fourth radiators. The discrete part and the first, second, third, and fourth radiators form an antenna module together.

Abstract: Semiconductor structures are provided. The semiconductor structure includes a substrate and nanostructures formed over the substrate. The semiconductor structure further includes a gate structure surrounding the nanostructures and a source/drain structure attached to the nanostructures. The semiconductor structure further includes a contact formed over the source/drain structure and extending into the source/drain structure.

Abstract: Apparatus, systems and methods for irrigating lands are disclosed. In one example, an irrigation system is disclosed. The irrigation system includes a gate and a microcontroller unit (MCU). The gate is configured for adjusting a water flow for irrigating a piece of land. The MCU is configured for controlling the gate to adjust the water flow based on environmental information related to the piece of land.

Abstract: Network device selection or handover schemes enable higher network capacity based on partially-observable Markov decision processes. Unavailable cell loading information is observed and/or predicted from non-serving base stations and actions are taken to maintain an active base station set or network device candidate data for selection in routing communications of a mobile device in a mobile device cell selection or handover procedure. A reward function is considered in the selection based on various parameters comprising system capacity, handover times, and mobility of a mobile device or mobile station.

Abstract: Network device selection or handover schemes enable higher network capacity based on partially-observable Markov decision processes. Unavailable cell loading information is observed and/or predicted from non-serving base stations and actions are taken to maintain an active base station set or network device candidate data for selection in routing communications of a mobile device in a mobile device cell selection or handover procedure. A reward function is considered in the selection based on various parameters comprising system capacity, handover times, and mobility of a mobile device or mobile station.

Abstract: Network device selection or handover schemes enable higher network capacity based on partially-observable Markov decision processes. Unavailable cell loading information is observed and/or predicted from non-serving base stations and actions are taken to maintain an active base station set or network device candidate data for selection in routing communications of a mobile device in a mobile device cell selection or handover procedure. A reward function is considered in the selection based on various parameters comprising system capacity, handover times, and mobility of a mobile device or mobile station.

Abstract: Network device selection or handover schemes enable higher network capacity based on partially-observable Markov decision processes. Unavailable cell loading information is observed and/or predicted from non-serving base stations and actions are taken to maintain an active base station set or network device candidate data for selection in routing communications of a mobile device in a mobile device cell selection or handover procedure. A reward function is considered in the selection based on various parameters comprising system capacity, handover times, and mobility of a mobile device or mobile station.