Abstract: Provided herein are methods for next generation sequencing a target using universal adapter technologies and identifying and reducing error by distinguishing the signals from sequencing the target based on the location on the flow cell of the signals from sequencing the sample identifying region(s) of the adapters.

Abstract: Early diagnosis of lethal radiation is imperative, since the intervention time windows for lethally irradiated subjects are considerably short. Hence, ideal diagnostic candidates of radiation should be easily accessible, enable to inform the stress history and triage subjects unbiasedly in a time-efficient manner. Taken together, small molecules such as metabolites and microRNAs (miRNAs) from plasma are legitimate biomarker candidate for lethal radiation. Herein is described a TBI (total body irradiation) model involving minipigs exposed to radiation. Markers were observed at early, intermediate and late time periods post-radiation, and were compared to non-exposed, non-radiated miRNA's. A method and a kit for detecting time-dependent ionizing radiation exposure is described in embodiments herein.

Abstract: The disclosure generally pertains to systems and methods for trash collection management. In an example embodiment, a dumpster monitoring apparatus may determine that an amount of garbage in a dumpster exceeds a threshold level (such as, for example, above a full-level marked on the dumpster). If the garbage exceeds the threshold level, the dumpster monitoring apparatus automatically transmits a request to a dumpster management apparatus to dispatch a garbage truck. In an example scenario, the dumpster monitoring apparatus may further determine that a current location of the dumpster is stationed is inaccessible to the garbage truck. Consequently, the dumpster monitoring apparatus may automatically transmit a request to a robot vehicle (such as robotic forklift) to move the dumpster from the current location to a new location that is accessible to the garbage truck. The dumpster monitoring apparatus may then inform the dumpster management apparatus of the new location.

Abstract: The disclosure generally pertains to systems and methods for trash collection management. In an example embodiment, a dumpster monitoring apparatus may determine that an amount of garbage in a dumpster exceeds a threshold level (such as, for example, above a full-level marked on the dumpster). If the garbage exceeds the threshold level, the dumpster monitoring apparatus automatically transmits a request to a dumpster management apparatus to dispatch a garbage truck. In an example scenario, the dumpster monitoring apparatus may further determine that a current location of the dumpster is stationed is inaccessible to the garbage truck. Consequently, the dumpster monitoring apparatus may automatically transmit a request to a robot vehicle (such as robotic forklift) to move the dumpster from the current location to a new location that is accessible to the garbage truck. The dumpster monitoring apparatus may then inform the dumpster management apparatus of the new location.