Abstract: Described herein are methods that define cellular populations that are sensitive to RARA agonists and identify patient populations that will benefit from treatment with RARA agonists. The methods may comprise administering RARA agonists to patient populations.

Abstract: Audio data, corresponding to an utterance spoken by a person within a detection range of a voice communications device, can include an audio message portion. The audio data can be captured and analyzed to determine the intent to send a message. Based at least in part upon that intent, a remaining portion of the audio data can be analyzed to determine the intended message target or recipient, as well as the portion corresponding to the actual message payload. Once determined, the audio file can be trimmed to the message payload, and the message payload of the audio data can be delivered as an audio message to the target recipient.

Abstract: Audio data, corresponding to an utterance spoken by a person within a detection range of a voice communications device, can include an audio message portion. The audio data can be captured and analyzed to determine the intent to send a message. Based at least in part upon that intent, a remaining portion of the audio data can be analyzed to determine the intended message target or recipient, as well as the portion corresponding to the actual message payload. Once determined, the audio file can be trimmed to the message payload, and the message payload of the audio data can be delivered as an audio message to the target recipient.

Abstract: In this paper, binary stackers and counters are presented. In an embodiment, a counter uses 3-bit stacking circuits which group T bits together, followed a symmetric method to combine pairs of 3-bit stacks into 6-bit stacks. The bit stacks are then converted to binary counts, producing 6:3 and 7:3 Counter circuits with no XOR gates on the critical path. This avoids of XOR gates results in faster designs with efficient power and area utilization. In VLSI simulations, the presently-disclosed counters were 30% faster and at consumed at least 20% less power than existing parallel counters. Additionally, using the presently-disclosed counter in existing Counter Based Wallace tree multiplier architectures reduce latency and improves efficiency in term of power-delay product for 64-bit and 128-bit multipliers.

Abstract: Audio data, corresponding to an utterance spoken by a person within a detection range of a voice communications device, can include an audio message portion. The audio data can be captured and analyzed to determine the intent to send a message. Based at least in part upon that intent, a remaining portion of the audio data can be analyzed to determine the intended message target or recipient, as well as the portion corresponding to the actual message payload. Once determined, the audio file can be trimmed to the message payload, and the message payload of the audio data can be delivered as an audio message to the target recipient.

Abstract: In this paper, binary stackers and counters are presented. In an embodiment, a counter uses 3-bit stacking circuits which group the T bits together, followed by a symmetric method to combine pairs of 3-bit stacks into 6-bit stacks. The bit stacks are then converted to binary counts, producing 6:3 and 7:3 Counter circuits with no XOR gates on the critical path. This avoidance of XOR gates results in faster designs with efficient power and area utilization. In VLSI simulations, the presently-disclosed counters were 30% faster and at consumed at least 20% less power than existing parallel counters. Additionally, using the presently-disclosed counter in existing Counter Based Wallace tree multiplier architectures reduces latency and improves efficiency in terms of power-delay product for 64-bit and 128-bit multipliers.

Abstract: Audio data, corresponding to an utterance spoken by a person within a detection range of a voice communications device, can include an audio message portion. The audio data can be captured and analyzed to determine the intent to send a message. Based at least in part upon that intent, a remaining portion of the audio data can be analyzed to determine the intended message target or recipient, as well as the portion corresponding to the actual message payload. Once determined, the audio file can be trimmed to the message payload, and the message payload of the audio data can be delivered as an audio message to the target recipient.

Abstract: Disclosed are various embodiments for selecting page layouts based upon an outcome prediction associated with a request for a content page. Session variables associated with a request can be extracted. A score can be calculated based upon the session variables. The score can be generated by a machine learning engine that is trained using archived session data. A page layout can be selected based upon the generated score and a respective content page generated.

Abstract: Audio data, corresponding to an utterance spoken by a person within a detection range of a voice communications device, can include an audio message portion. The audio data can be captured and analyzed to determine the intent to send a message. Based at least in part upon that intent, a remaining portion of the audio data can be analyzed to determine the intended message target or recipient, as well as the portion corresponding to the actual message payload. Once determined, the audio file can be trimmed to the message payload, and the message payload of the audio data can be delivered as an audio message to the target recipient.

Abstract: Audio data, corresponding to an utterance spoken by a person within a detection range of a voice communications device, can include an audio message portion. The audio data can be captured and analyzed to determine the intent to send a message. Based at least in part upon that intent, a remaining portion of the audio data can be analyzed to determine the intended message target or recipient, as well as the portion corresponding to the actual message payload. Once determined, the audio file can be trimmed to the message payload, and the message payload of the audio data can be delivered as an audio message to the target recipient.

Abstract: Audio data, corresponding to an utterance spoken by a person within a detection range of a voice communications device, can include an audio message portion. The audio data can be captured and analyzed to determine the intent to send a message. Based at least in part upon that intent, a remaining portion of the audio data can be analyzed to determine the intended message target or recipient, as well as the portion corresponding to the actual message payload. Once determined, the audio file can be trimmed to the message payload, and the message payload of the audio data can be delivered as an audio message to the target recipient.