C07C275/36

INHIBITORS FOR SOLUBLE EPOXIDE HYDROLASE (SEH) AND FATTY ACID AMIDE HYDROLASE (FAAH)
20190077785 · 2019-03-14 ·

The present invention provides compounds that are dual inhibitors of soluble epoxide hydrolase and fatty acid amide hydrolase. The present invention also provides methods of using the compounds to inhibit soluble epoxide hydrolase and fatty acid amide hydrolase, and to treat cancer.

INHIBITORS FOR SOLUBLE EPOXIDE HYDROLASE (SEH) AND FATTY ACID AMIDE HYDROLASE (FAAH)
20190077785 · 2019-03-14 ·

The present invention provides compounds that are dual inhibitors of soluble epoxide hydrolase and fatty acid amide hydrolase. The present invention also provides methods of using the compounds to inhibit soluble epoxide hydrolase and fatty acid amide hydrolase, and to treat cancer.

OIL GELATOR

There is provided a novel gelator containing a monourea derivative. A gelator comprising a compound of formula (1):

##STR00001##

wherein R.sup.1 is a linear or branched alkyl group having a carbon atom number of 2 to 20, a cyclic alkyl group having a carbon atom number of 3 to 20, or a linear or branched alkenyl group having a carbon atom number of 12 to 20; and Ar is a C.sub.6-18 aryl group unsubstituted or optionally substituted with at least one substituent selected from the group consisting of a C.sub.1-10 alkyl group, a C.sub.1-10 alkoxy group, a C.sub.6-18 aryloxy group, a halogen atom, a nitro group, a phenyl group, a C.sub.2-10 alkylcarbonyl group, and a C.sub.7-18 aralkyl group.

OIL GELATOR

There is provided a novel gelator containing a monourea derivative. A gelator comprising a compound of formula (1):

##STR00001##

wherein R.sup.1 is a linear or branched alkyl group having a carbon atom number of 2 to 20, a cyclic alkyl group having a carbon atom number of 3 to 20, or a linear or branched alkenyl group having a carbon atom number of 12 to 20; and Ar is a C.sub.6-18 aryl group unsubstituted or optionally substituted with at least one substituent selected from the group consisting of a C.sub.1-10 alkyl group, a C.sub.1-10 alkoxy group, a C.sub.6-18 aryloxy group, a halogen atom, a nitro group, a phenyl group, a C.sub.2-10 alkylcarbonyl group, and a C.sub.7-18 aralkyl group.

AGONISTS OF PROTEIN TYROSINE PHOSPHATASE SHP-1
20180237385 · 2018-08-23 ·

Some novel compounds are provided in this disclosure. These novel compounds have potential SHP-1 agonist activity for being used in treating cancer.

AGONISTS OF PROTEIN TYROSINE PHOSPHATASE SHP-1
20180237385 · 2018-08-23 ·

Some novel compounds are provided in this disclosure. These novel compounds have potential SHP-1 agonist activity for being used in treating cancer.

TRAINING AN UNSUPERVISED MEMORY-BASED PREDICTION SYSTEM TO LEARN COMPRESSED REPRESENTATIONS OF AN ENVIRONMENT

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a memory-based prediction system configured to receive an input observation characterizing a state of an environment interacted with by an agent and to process the input observation and data read from a memory to update data stored in the memory and to generate a latent representation of the state of the environment. The method comprises: for each of a plurality of time steps: processing an observation for the time step and data read from the memory to: (i) update the data stored in the memory, and (ii) generate a latent representation of the current state of the environment as of the time step; and generating a predicted return that will be received by the agent as a result of interactions with the environment after the observation for the time step is received.

TRAINING AN UNSUPERVISED MEMORY-BASED PREDICTION SYSTEM TO LEARN COMPRESSED REPRESENTATIONS OF AN ENVIRONMENT

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a memory-based prediction system configured to receive an input observation characterizing a state of an environment interacted with by an agent and to process the input observation and data read from a memory to update data stored in the memory and to generate a latent representation of the state of the environment. The method comprises: for each of a plurality of time steps: processing an observation for the time step and data read from the memory to: (i) update the data stored in the memory, and (ii) generate a latent representation of the current state of the environment as of the time step; and generating a predicted return that will be received by the agent as a result of interactions with the environment after the observation for the time step is received.