An approach to generating irreducible modules. The approach includes a method that includes receiving, by at least one computing device, data associated with a specification. The method includes defining, by the at least one computing device, a pattern on the received data. The pattern reduces a set of rules into a single condition. The method includes generating, by the at least one computing device, an irreducible module based on the pattern. The irreducible module has one output dependent variable and is associated with a data flow application.

An example method includes estimating whether a collision occurred between a plurality of wide band response signals, the wide band response signals being responsive to a first interrogation signal transmitted by a first reader; when the collision is estimated to have occurred and the first reader received a first response from a particular tag, transmitting, by the first reader, a second interrogation signal, the second interrogation signal initiating a communication session between the reader and the particular tag; and transmitting, by the first reader, an acknowledgement packet to cause the tag to refrain from responding to a command during the communication session; and a second reader to refrain from interrogating the particular tag during the communication session.

Aspects of the present disclosure include systems for use in preparing a labelled biomolecule reagent. Systems according to certain embodiments include an input manager for receiving a request for a labelled biomolecule reagent, a memory for storing a dataset having a plurality of labelled biomolecule reagent storage identifiers, a processing module communicatively coupled to the memory and configured to identify one or more labelled biomolecule reagent storage identifiers from the dataset that corresponds to the labelled biomolecule reagent request and an output manager for providing the one or more identified labelled biomolecule reagent storage identifiers. A reagent preparatory apparatus for preparing the labelled biomolecule reagent from an activated biomolecule and activated label is also described. Methods for communicating and receiving a labelled biomolecule reagent request and preparing the subject labelled biomolecule reagents are also provided.

Aspects of the present disclosure include systems for use in preparing a labelled biomolecule reagent. Systems according to certain embodiments include an input manager for receiving a request for a labelled biomolecule reagent, a memory for storing a dataset having a plurality of labelled biomolecule reagent storage identifiers, a processing module communicatively coupled to the memory and configured to identify one or more labelled biomolecule reagent storage identifiers from the dataset that corresponds to the labelled biomolecule reagent request and an output manager for providing the one or more identified labelled biomolecule reagent storage identifiers. A reagent preparatory apparatus for preparing the labelled biomolecule reagent from an activated biomolecule and activated label is also described. Methods for communicating and receiving a labelled biomolecule reagent request and preparing the subject labelled biomolecule reagents are also provided.

The system and methods disclosed herein relate to an improvement in automated data tiering technology. The systems and methods disclosed herein enhance database storage performance characteristics in myriad ways. First, the speed with which data can be relocated from one tier to another in a tiered data storage system is increased by reducing the number of sort cycles required to perform data relocation. In addition, data relocation among the tiers is performed on the backend by an offload engine, which results in uninterrupted access to read/write commands within the data storage system from a user's perspective on the frontend. Third, users are able to adjust the percentages of hot or cold data that are relocated within the database without having to alter the service level agreements. In this way, users can make spontaneous changes to performance characteristics related to the promotion and demotion of data stored within a tiered data storage system.

The system and methods disclosed herein relate to an improvement in automated data tiering technology. The systems and methods disclosed herein enhance database storage performance characteristics in myriad ways. First, the speed with which data can be relocated from one tier to another in a tiered data storage system is increased by reducing the number of sort cycles required to perform data relocation. In addition, data relocation among the tiers is performed on the backend by an offload engine, which results in uninterrupted access to read/write commands within the data storage system from a user's perspective on the frontend. Third, users are able to adjust the percentages of hot or cold data that are relocated within the database without having to alter the service level agreements. In this way, users can make spontaneous changes to performance characteristics related to the promotion and demotion of data stored within a tiered data storage system.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for neural translation systems with rare word processing. One of the methods is a method training a neural network translation system to track the source in source sentences of unknown words in target sentences, in a source language and a target language, respectively and includes deriving alignment data from a parallel corpus, the alignment data identifying, in each pair of source and target language sentences in the parallel corpus, aligned source and target words; annotating the sentences in the parallel corpus according to the alignment data and a rare word model to generate a training dataset of paired source and target language sentences; and training a neural network translation model on the training dataset.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for neural translation systems with rare word processing. One of the methods is a method training a neural network translation system to track the source in source sentences of unknown words in target sentences, in a source language and a target language, respectively and includes deriving alignment data from a parallel corpus, the alignment data identifying, in each pair of source and target language sentences in the parallel corpus, aligned source and target words; annotating the sentences in the parallel corpus according to the alignment data and a rare word model to generate a training dataset of paired source and target language sentences; and training a neural network translation model on the training dataset.

An electronic shelf label system comprising a plurality of electronic shelf labels is provided. A central computing system transmits data transmissions to the plurality of electronic shelf labels at a first power level. A candidate electronic shelf label from the plurality of electronic shelf labels periodically activate from a sleep mode to identify whether there is an existing master electronic shelf label from the plurality of electronic shelf labels. The candidate electronic shelf label becomes a new master electronic shelf label based on a set of specified conditions to transmit programming instructions received from the central computing system to one or more electronic shelf labels.

A non-volatile memory module in parallel architecture is described. It includes memory function and data storage function in a single module. It enables host system to use memory bus to access storage devices and to use the same memory command protocol for storage device access. The parallel architecture enables contents in memory devices and storage devices to be exchanged freely on module under the control of host memory controller to boost performance of computer and to retain data even if power to computer is shut off. The configuration of non-volatile memory module can be partitioned or expanded into multiple independent channels on module seamlessly with or without ECC supports.