Abstract: The present invention discloses a polypeptide and application thereof. By modifying oxyntomodulin (OXM), hybridizing OXM with a peptide sequence of Exenatide, including enabling the polypeptide to be resistant to DPP-4 enzyme degradation through amino acid modification, and conjugating fatty acid chains at the same time, an OXM hybrid peptide having longer pharmacologic action time and better weight losing effects is obtained. Synthesis of a target polypeptide is fast realized by an orthogonal protection strategy solid-phase synthesis method, and a crude product is purified and freeze-dried to obtain the OXM hybrid peptide.

Abstract: Provided is an illumination device comprising a support structure and a light-emitting component being provided on one side of the support structure. The support structure also has an opening on one of its sides and an optical component cooperating with the opening to form an accommodating space. The illumination device also comprises an integrally formed light transmission portion provided above a light-emitting side of the light-emitting component. The light transmission portion is configured to transmit light from the light-emitting component. The illumination device additionally comprises a plurality of sealing portions being integrally formed.

Abstract: The present invention relates to a novel phenoxyacetic acid derivative represented by the general formula (I), preparation method thereof and use of a pharmaceutical composition containing the derivative in preparing a medicament for treating diabetes and metabolic syndrome. The phenoxyacetic acid derivatives have excellent in vivo hypoglycemic activity, which can be used for preventing or treating diabetes.

Abstract: New benzodiazepine compounds, and a preparation method therefor and the use thereof are provided. Short-acting benzodiazepine derivatives have the characteristics of a fast onset, short acting time, deep strength, being quickly metabolized, fast wake-up, etc. In anesthesia experiments on mice and rats, short-acting benzodiazepine derivatives have a comparable onset time to remazolam, but have a significantly shortened acting time and wake-up time. Moreover, some of the compounds have a significantly enhanced depth of action. Thus, the compounds have the characteristics of a faster onset, shorter acting time, greater strength of action, being metabolized faster, faster wake-up, etc. In long-term infusion anesthesia experiments on rats, compared with remazolam, the short-acting benzodiazepine derivatives have a significantly shortened wake-up time and recovery time, and have the characteristics of faster wake-up, a faster recovery, etc.

Abstract: The present invention discloses a polypeptide and application thereof. By modifying oxyntomodulin (OXM), hybridizing OXM with a peptide sequence of Exenatide, including enabling the polypeptide to be resistant to DPP-4 enzyme degradation through amino acid modification, and conjugating fatty acid chains at the same time, an OXM hybrid peptide having longer pharmacologic action time and better weight losing effects is obtained. Synthesis of a target polypeptide is fast realized by an orthogonal protection strategy solid-phase synthesis method, and a crude product is purified and freeze-dried to obtain the OXM hybrid peptide.

Abstract: Provided herein are compounds for use as photochromic molecular switches having very long thermal isomerization half-lives and switchable fluorescence properties both in solution and the solid state.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for parallel time series analysis. One of the methods includes receiving a plurality of data elements. The plurality of data elements are partitioned into a plurality of chunks, wherein the plurality of chunks, including a first chunk and a plurality of additional chunks, have an ordering according to the data elements included in each chunk. Each chunk is assigned to a particular segment of a plurality of segments. A first iteration of an autoregressive integrated moving average is computed for each chunk assigned to each segment. A second iteration of the autoregressive integrated moving average is computed for each chunk assigned to each segment, wherein computing uses the result data for a corresponding preceding chunk in the first iteration. One or more additional iterations of the autoregressive integrated moving average are computed until stopping criteria has been satisfied.

Abstract: The present invention relates to a novel phenoxyacetic acid derivative represented by the general formula (I), preparation method thereof and use of a pharmaceutical composition containing the derivative in preparing a medicament for treating diabetes and metabolic syndrome. The phenoxyacetic acid derivatives have excellent in vivo hypoglycemic activity, which can be used for preventing or treating diabetes.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for parallel time series analysis. One of the methods includes receiving a plurality of data elements. The plurality of data elements are partitioned into a plurality of chunks, wherein the plurality of chunks, including a first chunk and a plurality of additional chunks, have an ordering according to the data elements included in each chunk. Each chunk is assigned to a particular segment of a plurality of segments. A first iteration of an autoregressive integrated moving average is computed for each chunk assigned to each segment. A second iteration of the autoregressive integrated moving average is computed for each chunk assigned to each segment, wherein computing uses the result data for a corresponding preceding chunk in the first iteration. One or more additional iterations of the autoregressive integrated moving average are computed until stopping criteria has been satisfied.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for parallel time series analysis. One of the methods includes receiving a plurality of data elements. The plurality of data elements are partitioned into a plurality of chunks, wherein the plurality of chunks, including a first chunk and a plurality of additional chunks, have an ordering according to the data elements included in each chunk. Each chunk is assigned to a particular segment of a plurality of segments. A first iteration of an autoregressive integrated moving average is computed for each chunk assigned to each segment. A second iteration of the autoregressive integrated moving average is computed for each chunk assigned to each segment, wherein computing uses the result data for a corresponding preceding chunk in the first iteration. One or more additional iterations of the autoregressive integrated moving average are computed until stopping criteria has been satisfied.

Abstract: A general framework for cross-validation of any supervised learning algorithm on a distributed database comprises a multi-layer software architecture that implements training, prediction and metric functions in a C++ layer and iterates processing of different subsets of a data set with a plurality of different models in a Python layer. The best model is determined to be the one with the smallest average prediction error across all database segments.

Abstract: Provided herein are compounds for use as photochromic molecular switches having very long thermal isomerization half-lives and switchable fluorescence properties both in solution and the solid state.

Abstract: Provided herein are photochromic organic compounds of Formula I or Formula II, which are useful as molecular switches capable of being triggered via a cis/trans isomerization process. Methods of using the molecular switch compounds to form photopharmaceutical compounds that may be used to provide selective spatiotemporal activation of pharmaceutical agents are also disclosed.

Abstract: An assembly for preventing accidental shutdowns includes a trigger, a first button, a resisting portion, a first driving portion, a second driving portion, a sliding block, and a processing unit. The sliding block includes at least one block and at least one groove. When the electronic device is in a shutdown state, the at least one resisting wall is in the at least one groove. When the electronic device is powered on, the processing unit controls the first driving portion to drive the resisting portion to rise up, and controls the second driving portion to drive the sliding block to move horizontally related to the first button until one end of the resisting wall resists against the first button. The other end of the resisting wall resists against the at least one block. An electronic device with the assembly is also provided.

Abstract: An assembly for preventing accidental shutdowns includes a trigger, a first button, a resisting portion, a first driving portion, a second driving portion, a sliding block, and a processing unit. The sliding block includes at least one block and at least one groove. When the electronic device is in a shutdown state, the at least one resisting wall is in the at least one groove. When the electronic device is powered on, the processing unit controls the first driving portion to drive the resisting portion to rise up, and controls the second driving portion to drive the sliding block to move horizontally related to the first button until one end of the resisting wall resists against the first button. The other end of the resisting wall resists against the at least one block. An electronic device with the assembly is also provided.

Abstract: Provided herein are photochromic organic compounds of Formula I or Formula II, which are useful as molecular switches capable of being triggered via a cis/trans isomerization process. Methods of using the molecular switch compounds to form photopharmaceutical compounds that may be used to provide selective spatiotemporal activation of pharmaceutical agents are also disclosed.

Abstract: A framework for executing iterative grouped optimization algorithms such as machine learning and other analytic algorithms directly on unsorted data within a SQL data store without first redistributing the data comprises an architecture that provides C++ abstraction layers that include the algorithms over a SQL data store, and a higher Python abstraction layer that includes grouping and iteration controllers and call functionality to the C++ layer for invocation of the algorithms.

Abstract: A protecting case for protecting an electronic device includes a hollow main body. The electronic device is received in the main body. The main body is filled with gas having a density less than a density of air, to make the main body and the electronic device suspend in air while received in the main body.

Abstract: A framework for executing iterative grouped optimization algorithms such as machine learning and other analytic algorithms directly on unsorted data within a SQL data store without first redistributing the data comprises an architecture that provides C++ abstraction layers that include the algorithms over a SQL data store, and a higher Python abstraction layer that includes grouping and iteration controllers and call functionality to the C++ layer for invocation of the algorithms.

Abstract: A general framework for cross-validation of any supervised learning algorithm on a distributed database comprises a multi-layer software architecture that implements training, prediction and metric functions in a C++ layer and iterates processing of different subsets of a data set with a plurality of different models in a Python layer. The best model is determined to be the one with the smallest average prediction error across all database segments.