Abstract: To maximize the accuracy and efficiency of predicting users that will enjoy targeted content, a proposed content selection solution looks to combine a first strategy of utilizing selection rules with a second strategy of utilizing machine based learning models. By combining the selection rules-based approach and the machine learning model-based approach, the proposed content selection solution is able to consider and recommend a wider range of users for each available content.

Abstract: Methods, systems, compositions and strategies for the delivery of WW domain-containing fusion proteins into cells in vivo, ex vivo, or in vitro via ARMMs are provided. Methods, systems, compositions and strategies for the delivery of Cas9 proteins and/or Cas9 variants into cells in vivo, ex vivo, or in vitro via fusion to ARMM associated proteins (e.g., ARRDC1 or TSG101) are also provided.

Abstract: Methods, systems, compositions and strategies for the delivery of WW domain-containing fusion proteins into cells in vivo, ex vivo, or in vitro via ARMMs are provided. Methods, systems, compositions and strategies for the delivery of cargo proteins, such as transcription factors, tumor suppressors, developmental regulators, growth factors, metastasis suppressors, pro-apoptotic proteins, nucleases, recombinases, and reprogramming factors into cells in vivo, ex vivo, or in vitro via fusion to ARMM associated proteins (e.g., ARRDC1 or TSG101) are also provided.

Abstract: An ultrasonic humidifier having stackable and detachable water reservoirs for easy expansion of its water storage capacity. A user can build the ultrasonic humidifier with a number of desired units of the stackable and detachable water reservoirs vertically to suit the usage and to accommodate the space in which the humidifier is used in. Each unit of the stackable and detachable water reservoirs has its own individual floater and draining device to control the replenishment of water to the unit it is attached to. The ultrasonic humidifier having stackable and detachable water reservoirs allows user to refill individual water reservoir unit separately.

Abstract: To maximize the accuracy and efficiency of predicting users that will enjoy targeted content, a proposed content selection solution looks to combine a first strategy of utilizing selection rules with a second strategy of utilizing machine based learning models. By combining the selection rules-based approach and the machine learning model-based approach, the proposed content selection solution is able to consider and recommend a wider range of users for each available content.

Abstract: Described herein are techniques and systems for online ad campaign pacing. The techniques described herein use budget allocation along with the estimations of bids and response rates. With use of budget allocation, the techniques can use budget pacing to enhance impressions and maximize desired responses, such as desired click-through rates. These techniques focus on enhancing pacing and performance of ad campaigns, such as enhancing performance across distinct and/or unified online ad marketplaces. These techniques are especially useful in the context of a demand-side platform (DSP). In some examples, the techniques assume that impression supply is much larger than advertiser demand for impressions of their ads, so such techniques focus on selecting high performing inventory of ad space. Yet, with such a focus, a smooth or consistent delivery of ads over time is used.

Abstract: For each of various sites, a mathematical representation is computed according to prescribed characteristics of users that have conducted one or more predetermined types of interaction with the site. Cluster of the sites are identified whose computed representations are similar according to prescribed criteria. Responsive to notification of an opportunity to deliver unidentified advertising to a given user via a given site, at least one ad is selected based upon factors including the ad having a prescribed performance history at one or more clusters containing the given site. The selected ad is transmitted to the given user at the given site, or a bid is transmitted for such placement of the ad.

Abstract: Methods, systems, compositions and strategies for the delivery of WW domain-containing fusion proteins into cells in vivo, ex vivo, or in vitro via ARMMs are provided. Methods, systems, compositions and strategies for the delivery of Cas9 proteins and/or Cas9 variants into cells in vivo, ex vivo, or in vitro via fusion to ARMM associated proteins (e.g., ARRDC1 or TSG101) are also provided.

Abstract: The invention provide isolated arrestin domain-containing protein 1 (ARRDC1)-mediated microvesicles (ARMMs). Methods for generating and for isolating ARMMs are also provided herein. ARMMs can be used to deliver agents, for example, nucleic acids (e.g., siRNAs, microRNAs, lincRNAs), proteins (e.g., transcription factors, chromatin modulators, kinases, phosphorylases, or recombinases), or small molecules to target cells in vitro and in vivo, and methods for such ARMM-mediated delivery are provided herein. Diagnostic and therapeutic methods using ARMMs are also described herein.

Abstract: Systems, methods, and apparatuses are disclosed for generating mapping data structures based on predicted relationships across tracking data obtained from tracking online browsing histories of users to a network of websites.

Abstract: Methods, systems, compositions and strategies for the delivery of WW domain-containing fusion proteins into cells in vivo, ex vivo, or in vitro via ARMMs are provided. Methods, systems, compositions and strategies for the delivery of Cas9 proteins and/or Cas9 variants into cells in vivo, ex vivo, or in vitro via fusion to ARMM associated proteins (e.g., ARRDC1 or TSG101) are also provided.

Abstract: An ultrasonic humidifier includes a tank having a water level and a floater having a tubular structure with a bottom rim and a top rim. The tubular structure has a frusto-conical shape and is vertically and co-axially disposed within the floater. The tubular structure having a widest diameter end disposed on the bottom rim and a narrower diameter end disposed at the top rim. This humidifier also has an air-supply arrangement that eliminates water damage to the fan during spillage.

Abstract: The invention provide isolated arrestin domain-containing protein 1 (ARRDC1)-mediated micro vesicles (ARMMs). Methods for generating and for isolating ARMMs are also provided herein. ARMMs can be used to deliver agents, for example, nucleic acids (e.g., siRNAs, microRNAs, lincRNAs), proteins (e.g., transcription factors, chromatin modulators, kinases, phosphorylases, or recombinases), or small molecules to target cells in vitro and in vivo, and methods for such ARMM-mediated delivery are provided herein. Diagnostic and therapeutic methods using ARMMs are also described herein.

Abstract: Described herein are example systems and operations for enhancing response prediction and bidding decision making. A feature recommendation controller may include a factorization machine that generates a set of combinations of contextual and advertiser features yielding high expected response rates. A bidding controller may implement a multi-arm bandit system that uses Thompson sampling to select an optimal one of the feature combinations that corresponds to a highest expected response rate. The bidding controller may compare the corresponding highest expected response rate with a threshold response rate associated with a pacing rate to determine whether to place a bid for a received ad request.

Abstract: The present disclosure relates to a computer system configured establish and utilize a database for online ad realization prediction in an ad display platform associated with N parties, wherein N is a positive integral greater than 1. The computer system is configured obtain a party hierarchy for each of the N parties including a plurality of features of the party; select a target ad display event including N features, each of the N features corresponding to a node in a party hierarchy; obtain a prior probability reflecting an unconditional probability of ad realization occurrence at the target ad display event among all possible ad display events; for each of the N features: determine a marginal prior probability by decomposing components associated with the other N?1 features from the prior probability; determine a marginal posterior probability based on the marginal prior probability; and save the marginal posterior probability in the corresponding node of the party hierarchy.

Abstract: A system for generating behavior segments and serving targeted ads. The system generates variables based on data from targeted users, incorporates recency, frequency, and velocity for the variables; optimizes the variables; converts the variables into behavior segments; and saves the behavior segments to a database. The system updates the behavior segments in real time. When a publisher requests an ad call, the system generates a score for advertisements based on the user profile, multiplies the score by the amount each advertiser is willing to pay for serving their ad, selects the highest value, and serves the ad.

Abstract: Methods, systems, compositions and strategies for the delivery of WW domain-containing fusion proteins into cells in vivo, ex vivo, or in vitro via ARMMs are provided. Methods, systems, compositions and strategies for the delivery of Cas9 proteins and/or Cas9 variants into cells in vivo, ex vivo, or in vitro via fusion to ARMM associated proteins (e.g., ARRDC1 or TSG101) are also provided.

Abstract: Described herein are example systems and operations for enhancing targeted delivery of online content using action rate lift and/or A/B testing. These examples provide solutions to problems in targeted delivery of online content, such as the problem of not being able to identify audience and/or situational targets mostly or only influenced by the content item or campaign of concern. For example, described herein are solutions that can estimate AR lift associated with a content item, and then distribute the content item or similar content items accordingly. An AR lift model can be used and such a model can use machine learning, A/B testing, and/or statistical analysis.

Abstract: A computer system implementing a method for ad realization prediction may be configured to receive a plurality of target realization factors associated with a target ad display opportunity; determine a reference realization probability score of the target ad display opportunity based on a global reference realization probability distribution associated with an ad display realization probability decision tree; using the reference realization probability score, determine an ad realization probability score of the target ad display opportunity according to a piecewise calibrated realization probability function; and return the ad realization probability score.

Abstract: Described herein are techniques and systems for online ad campaign pacing. The techniques described herein use budget allocation along with the estimations of bids and response rates. With use of budget allocation, the techniques can use budget pacing to enhance impressions and maximize desired responses, such as desired click-through rates. These techniques focus on enhancing pacing and performance of ad campaigns, such as enhancing performance across distinct and/or unified online ad marketplaces. These techniques are especially useful in the context of a demand-side platform (DSP). In some examples, the techniques assume that impression supply is much larger than advertiser demand for impressions of their ads, so such techniques focus on selecting high performing inventory of ad space. Yet, with such a focus, a smooth or consistent delivery of ads over time is used.