Abstract: Compounds of Formula I or a stereoisomer, tautomer, prodrug or pharmaceutically acceptable salt thereof are provided, which are useful for the treatment of hyperproliferative diseases. Methods of using compounds of Formula I or a stereoisomer, tautomer, prodrug or pharmaceutically acceptable salt thereof, for in vitro, in situ, and in vivo diagnosis, prevention or treatment of such disorders in mammalian cells, or associated pathological conditions are disclosed.

Abstract: A technique for automated preparation of tabular data for machine learning, including options for machine learning derived infill, feature importance evaluations, and/or dimensionality reduction. Validation data sets may be consistently prepared to training data sets based on properties of the training data saved in a metadata database. Additional data sets may be consistently prepared to training data sets based on properties of the training data saved in a returned metadata database such as for use in generating predictions from the trained ML system. Returned data sets may be prepared for oversampling of labels with lower frequency occurrence. Columns of a training data set are evaluated for appropriate categories of transformations, with the composition of transformation function applications designated by a defined tree of transformation category assignments to transformation primitives.

Abstract: A technique for automated preparation of tabular data categoric feature set encodings for machine learning, including options for variations on categoric encodings for bounded and unbounded categoric sets. String parsing may be performed to extract grammatical structure shared between the entries in a categoric feature set, such as string character subset overlaps, which may be returned in one or more columns of overlap activations or may be used to consolidate entries with shared overlaps. Numeric substring partitions may be extracted. Search terms may be applied to identify entries containing specific substring partitions. Sets of transformations may be aggregated by use of transformation primitives such as to return encodings in multiple configurations of varying information content. Additional data sets may be consistently prepared to training data sets based on properties of training data saved in a returned metadata database such as for use in inference from a trained machine learning system.

Abstract: A technique for automated preparation of tabular data for machine learning, including options for machine learning derived infill, feature importance evaluations, and/or dimensionality reduction. Validation data sets may be consistently prepared to training data sets based on properties of the training data saved in a metadata database. Additional data sets may be consistently prepared to training data sets based on properties of the training data saved in a returned metadata database such as for use in generating predictions from the trained ML system. Returned data sets may be prepared for oversampling of labels with lower frequency occurrence. Columns of a training data set are evaluated for appropriate categories of transformations, with the composition of transformation function applications designated by a defined tree of transformation category assignments to transformation primitives.

Abstract: A particle reduction system and method is disclosed having an air stream accelerator, a feeder assembly, a variable speed wheel lock operably associated with the feeder assembly for releasing raw material into a conveying air stream created by the positive displacement pump, and a particle conditioning assembly. The raw material is carried by the conveying air stream through the particle conditioning assembly, where particle of the material are collided with each other for the purpose of reducing the size of the particles. In some embodiments, a non-thermal drying system can be used to extract moisture from the raw material. The moisture/solids separation occurs, in large part, due to a head-on collision of two conveying air streams. The collision creates a large squeezing force, much higher than a centrifuge or filter. This impact squeezing acts to squeeze the moisture out of the raw material.

Abstract: A particle reduction system and method is disclosed having an air stream accelerator, a feeder assembly, a variable speed wheel lock operably associated with the feeder assembly for releasing raw material into a conveying air stream created by the positive displacement pump, and a particle conditioning assembly. The raw material is carried by the conveying air stream through the particle conditioning assembly, where particle of the material are collided with each other for the purpose of reducing the size of the particles. In some embodiments, a non-thermal drying system can be used to extract moisture from the raw material. The moisture/solids separation occurs, in large part, due to a head-on collision of two conveying air streams. The collision creates a large squeezing force, much higher than a centrifuge or filter. This impact squeezing acts to squeeze the moisture out of the raw material.