Abstract: Provided herein are compositions with enhanced protein content, compositions with functional proteins, protein combinations and methods for the preparation thereof.

Abstract: The present disclosure provides methods for producing consumable recombinant proteins that are substantially free from herein-disclosed undesired byproducts.

Abstract: Provided herein are compositions with enhanced protein content, proteins with high solubility, protein combinations and methods for the preparation thereof.

Abstract: A method comprises selecting a sample excerpt from a data input file; in response to the determining that a first row in the sample excerpt does not contain a delimited value and a second row does contain a delimited value, determining that the first row consists of header data; identifying one or more jagged rows based on row delimiters that were erroneously placed; causing displaying text that led to creation of a jagged row; receiving an addition or removal of a specific row delimiter to the text; updating the sample excerpt based on the addition or the removal; analyzing the sample excerpt to determine a row delimiter for the data input file; identifying a plurality of rows that is not included in the header data; identifying a plurality of candidate column delimiters and generating a candidate schema for the data input file.

Abstract: A description of an educational course can be received and a first LLM can be prompted, based on the description of the educational course, to generate an outline for the educational course, the outline including a plurality of modules for the educational course and descriptions of the modules, each description of a module of the plurality of modules including one or more learning objectives for the module, Based on the learning objectives for the modules, search queries for searching a database of course content can be generated. Candidate course content responsive to the search queries being executed on the database can be received from a database of existing course content. Based on the description of the educational course, a second LLM can be prompted to organize at least a subset of the candidate course content to generate the educational course, and the generated educational course can be received.

Abstract: Provided herein are compositions with enhanced protein content, proteins with high solubility, protein combinations and methods for the preparation thereof.

Abstract: Provided herein are compositions with enhanced protein content, proteins with high solubility, protein combinations and methods for the preparation thereof.

Abstract: A method comprises selecting a sample excerpt from a data input file; in response to the determining that a first row in the sample excerpt does not contain a delimited value and a second row does contain a delimited value, determining that the first row consists of header data; identifying one or more jagged rows based on row delimiters that were erroneously placed; causing displaying text that led to creation of a jagged row; receiving an addition or removal of a specific row delimiter to the text; updating the sample excerpt based on the addition or the removal; analyzing the sample excerpt to determine a row delimiter for the data input file; identifying a plurality of rows that is not included in the header data; identifying a plurality of candidate column delimiters and generating a candidate schema for the data input file.

Abstract: Techniques for generating a schema for a data input file are described herein. In an embodiment, a server computer receives a data input file. The server computer system selects a sample excerpt from the data input which comprises a subset of the data input file. The server computer system analyzes the sample excerpt to determine a row delimiter for the data input file, a column delimiter for the data input file, and a plurality of data format types. Using the column delimiter, row delimiter, and plurality of data format types, the server computer system generates a candidate schema for the data input file.

Abstract: Provided herein are compositions with enhanced protein content, protein combinations with high solubility and improved functionality, including foam stability and foam capacity, and methods for the preparation thereof.

Abstract: Provided herein are compositions with enhanced protein content, compositions with functional proteins, protein combinations and methods for the preparation thereof.

Abstract: Provided herein are compositions with enhanced protein content, compositions with functional proteins, protein combinations and methods for the preparation thereof.

Abstract: A microfluidic device for detecting rare cells in a fluid sample comprises the rare cell and other cells. The microfluidic device comprises an inlet for receiving the fluid sample, a labyrinth channel structure in fluid communication with the inlet, and an outlet in fluid communication with the labyrinth channel structure for collecting the rare cells separated from the other cells in the fluid sample. The labyrinth channel structure comprises at least one channel through which the fluid sample flows. The at least one channel has a plurality of segments and a plurality of corners with each corner defined between adjacent segments. The presence of the plurality of corners induces separation of the rare cells from the other cells in the fluid sample as the rare cells move to a first equilibrium position within the at least one channel when a ratio of inertial lift forces (FZ) and Dean flow (FD) of the fluid sample is from 2 to 10.

Abstract: Techniques for generating a schema for a data input file are described herein. In an embodiment, a server computer receives a data input file. The server computer system selects a sample excerpt from the data input which comprises a subset of the data input file. The server computer system analyzes the sample excerpt to determine a row delimiter for the data input file, a column delimiter for the data input file, and a plurality of data format types. Using the column delimiter, row delimiter, and plurality of data format types, the server computer system generates a candidate schema for the data input file.

Abstract: Techniques for generating a schema for a data input file are described herein. In an embodiment, a server computer receives a data input file. The server computer system selects a sample excerpt from the data input which comprises a subset of the data input file. The server computer system analyzes the sample excerpt to determine a row delimiter for the data input file, a column delimiter for the data input file, and a plurality of data format types. Using the column delimiter, row delimiter, and plurality of data format types, the server computer system generates a candidate schema for the data input file.

Abstract: Techniques for generating a schema for a data input file are described herein. In an embodiment, a server computer receives a data input file. The server computer system selects a sample excerpt from the data input which comprises a subset of the data input file. The server computer system analyzes the sample excerpt to determine a row delimiter for the data input file, a column delimiter for the data input file, and a plurality of data format types. Using the column delimiter, row delimiter, and plurality of data format types, the server computer system generates a candidate schema for the data input file.