Abstract: Systems and techniques are disclosed for a centralized platform for enhanced automated machine learning using disparate datasets. An example method includes receiving user specification of one or more data sources to be integrated with the system, the data sources storing datasets to be utilized to train one or more machine learning models by the system, and the datasets reflecting user interaction data. A dataset is imported from the data source, and machine learning models are automatically trained based a particular machine learning model recipe of a plurality of machine learning model recipes. A first trained machine learning model is implemented, with the system being configured to respond to queries based on the implemented machine learning model, and with the responses including personalized recommendations.

Abstract: A plurality of advertisements are associated with PPC (pay-per-click) payment amounts paid to third-party publishers for referrals. The PPC payment amount is based on a level of engagement for a particular user with a particular advertisement. As a result, each instance of an advertisement impression can lead to a varying PPC payment amount. The PPC payment amounts are accumulated by the publisher that successfully induces user interactions with the plurality of advertisements through a social media platform.

Abstract: One embodiment of the present invention sets forth a technique for determining an earnings per-click for a social publisher who, along with other types of digital content, publishes advertisements within a digital content distribution channel. The earnings per-click for a social publisher is determined based on an engagement score of the publisher that indicates the effectiveness of the publisher in terms of generating successful advertising outcomes. The engagement score is computed based on the performance of the advertisements published by the social publisher as well as different metrics associated with the social publisher that are collected from the advertising platform.

Abstract: The present invention relates to Drosophila genes and methods for their use. The invention provides nucleotide sequences of Drosophila genes, amino acid sequences of the encoded proteins, and derivatives (e.g., fragments) and analogs thereof. The invention further relates to fragments (and derivatives and analogs thereof) of proteins which comprise one or more domains of a Drosophila protein. Antibodies to Drosophila proteins, and derivatives and analogs thereof, are also provided. Also provided herein are vectors and host cells comprising such nucleic acids. Methods of production of a Drosophila protein (e.g., by recombinant means), and derivatives and analogs thereof, are provided. Chimeric polypeptide molecules comprising polypeptides of the invention fused to heterologous polypeptide sequences are provided. Methods to identify the biological function of a Drosophila gene are provided, including various methods for the functional modification (e.g.

Abstract: Tandem pore domain weak inward rectifying K+ (TWIK) channel nucleic acids and proteins that have been isolated from Drosophila melanogaster and Leptinotarsa are described. The TWIK channel nucleic acids and proteins can be used to genetically modify metazoan invertebrate organisms, such as insects, coelomates, and pseudocoelomates, or cultured cells, resulting in TWIK channel expression or mis-expression. The genetically modified organisms or cells can be used in screening assays to identify candidate compounds which are potential pesticidal agents or therapeutics that interact with TWIK channel proteins. They can also be used in methods for studying TWIK channel activity and identifying other genes that modulate the function of, or interact with, the TWIK channel gene.

Abstract: The present invention relates to D. melangaster insulin-like genes and methods for identifying insulin-like genes. The methods provide nucleotide sequences of D. melangaster insulin-like genes, amino acid sequences of their encoded proteins, and derivatives (e.g., fragments) and analogs thereof. The invention further relates to fragments (and derivatives and analogs thereof) of insulin-like proteins which comprise one or more domains of an insulin-like protein. Antibodies to an insulin-like protein, and derivatives and analogs thereof, are provided. Methods of production of an insulin-like protein (e.g., by recombinant means), and derivatives and analogs thereof, are provided. Further, methods to identify the biological function of a D. melangaster insulin-like gene are provided, including various methods for the functional modification (e.g., overexpression, underexpression, mutation, knock-out) of one or more genes simultaneously. Still further, methods to identify a D.