Abstract: A wear cap for use on an earth working roil for mining, construction and public works machines such as crushers, surface miners, milling machines and the like includes a working end and a rear mounting end. The rear mounting end including a pair of top and bottom rearwardly extending protrusions, a retainer, and a cavity having side stabilizing surfaces and a top and bottom rail or groove to support the wear cap on a holder mounted to the earth working roll.

Abstract: Methods for determining the VH:VL antibody repertoire from cells, such as antigen-specific B cells, in a high throughput manner. In some aspects, methods are provided for the capture of mRNA transcripts from single B cells that secreted antigen-specific antibodies followed by sequencing of the corresponding cDNAs encoding antibody VH and VL sequences. Libraries of antibodies produced by such methods are also provided.

Abstract: Methods for determining the VH:VL antibody repertoire from cells, such as antigen-specific B cells, in a high throughput manner. In some aspects, methods are provided for the capture of mRNA transcripts from single B cells that secreted antigen-specific antibodies followed by sequencing of the corresponding cDNAs encoding antibody VH and VL sequences. Libraries of antibodies produced by such methods are also provided.

Abstract: A wear cap for use on an earth working roil for mining, construction and public works machines such as crushers, surface miners, milling machines and the like includes a working end and a rear mounting end. The rear mounting end including a pair of top and bottom rearwardly extending protrusions, a retainer, and a cavity having side stabilizing surfaces and a top and bottom rail or groove to support the wear cap on a holder mounted to the earth working roll.

Abstract: A system and method for collective data mining from a distributed, vertically partitioned feature space as described. Collective data mining involves a unique approach for finding patterns from a network of databases, each with a distinct feature space. A distributed data mining system from heterogeneous sites is described. The architecture is ideal for accommodating different inductive learning algorithms for data analysis at different sites and includes a scalable approach using a gene expression-based evolutionary algorithm. This approach is used for distributed fault detection in an electrical power distribution network. Further implementations are also described.