Abstract: In one embodiment, a service receives machine learning-based generative models from a plurality of distributed sites. Each generative model is trained locally at a site using unlabeled data observed at that site to generate synthetic unlabeled data that mimics the unlabeled data used to train the generative model. The service receives, from each of the distributed sites, a subset of labeled data observed at that site. The service uses the generative models to generate synthetic unlabeled data. The service trains a global machine learning-based model using the received subsets of labeled data received from the distributed sites and the synthetic unlabeled data generated by the generative models.

Abstract: A microfluidic device includes multiple microfluidic assay units arranged on a substrate, with each assay unit including multiple scaffold regions each containing a three-dimensional scaffold with associated cells, and a media channel surrounding a fluid-permeable boundary portion of at least a second scaffold region, wherein a fluid-permeable interface between the media channel and the second scaffold region comprises a curved shape spanning an arc of more than 90 degrees. A third scaffold region may be provided. Boundaries between different scaffold regions, and between a scaffold region and the media channel, may include microposts that may be spaced apart in a curved configuration. A method for performing an assay utilizing such a device is further provided.

Abstract: A method for regeneration or repair of an infarcted myocardium including an infarcted region in an animal comprising injecting into the animal a composition including one or more gold nanostructures is disclosed.

Abstract: A scaffold-free microtissue is disclosed that includes one or more gold nanostructures linked to a functional moiety, wherein the functional moiety is one or more vasculogenic peptides, one or more anti-inflammatory peptides, one or more antiapoptotic peptides, one or more antinecrotic peptides, one or more antioxidant peptides, one or more oligonucleotides, one or more lipid particles, one or more phospholipid particles, one or more liposomes, one or more nanoliposomes, one or more microRNAs, or one or more siRNAs. The scaffold-free microtissue further includes a plurality of cardiac myocytes or cardiac myoblasts, which are conjugated to the one or more gold nanostructures, wherein the plurality of cardiac myocytes or cardiac myoblasts are arranged in a cluster.

Abstract: A microfluidic device is provided that incorporates a highly organized co-culture of live cells within a microengineered platform, by which the architecture and cellular constituents of an organ or other native tissue environment may be modeled over a long period of culture for biological and/or pharmacological studies. Vertical posts (e.g., microposts) may be used to induce alignment of hydrogel-encapsulated tissues in a cell suspension region of a microfluidic device. Such a device can complement animal studies in recapitulating pathophysiological characteristics of disease. When populated with cardiac cells, such a device provides a three-dimensional (3D) biomimetic human cardiac tissue model that enables the study of pathophysiological events involved in the transition of healthy to diseased cardiac tissue, to better inform therapeutic strategies and functional outcomes in cardiac-based therapies. Other types of cells may be used in certain embodiments.

Abstract: A server uses an LSTM neural network to predict a bandwidth value for a computer network element using past traffic data. The server receives a time series of bandwidth utilization of the computer network element. The time series includes bandwidth values associated with a respective time values. The LSTM neural network is trained with a training set selected from at least a portion of the time series. The server generates a predicted bandwidth value associated with a future time value based on the LSTM neural network. The provisioned bandwidth for the computer network element is adjusted based on the predicted bandwidth value.

Abstract: In one embodiment, a device determines locations of a plurality of transmitters relative to a particular wireless access point in a wireless network. One of the transmitters comprises a target client to which the particular wireless access point is to communicate. The device compares a plurality of beamforming patterns associated with the particular wireless access point to the determined locations. The device selects, based on the comparison, one of the beamforming patterns for use by the particular wireless access point to communicate with the target client. The device controls the particular wireless access point to use the selected beamforming pattern to communicate with the target client.

Abstract: A microfluidic device for more accurately modeling the in vitro environment in which cancer occurs is disclosed. The microfluidic device includes a surface defining one or more microfluidic channels, a first three dimensional scaffold comprising one or more cancer cells that is spatially separated from the one or more microfluidic channels, a second three dimensional scaffold, at least a portion of which is contacting and in fluid communication with the first three dimensional scaffold, and that is spatially separated from the one or more microfluidic channels, and a third three dimensional scaffold, at least a portion of which is contacting and in fluid communication with the one or more microfluidic channels and the second three dimensional scaffold. The device can be used to assay anti-cancer agents, or as a system for modeling the growth, behavior, or metastasis and tumor formation of cancer cells.

Abstract: Electrodes comprising an electrode coated with a coating, the coating comprising a non-fibrotic material, wherein the non-fibrotic material comprises electrically conductive particles dispersed therein, are provided. The non-fibrotic material may comprise hydrogel lacking cell adhesion moieties. The hydrogel may comprise poly(ethylene) glycol. The electrically conductive particles may comprise gold. Such electrodes may provide electrical stimulation to tissues, while eliminating or reducing fibrosis of tissue coming into contact with the electrodes. Such electrodes may accomplish these ends without the use of drugs. Such electrodes may be useful in applications in which electrical stimulation of tissues is used, such as in cardiac pacemakers, neural stimulators, and muscle stimulators. Methods of making and of evaluating such electrodes are provided.

Abstract: A network computing device determines a network topology for at least one network flow path between at least one ingress network border device and at least one egress network border device. The network computing device receives a message containing data indicating flow statistics for the at least one ingress network border device. The network computing device generates flow statistics for at least one network device along the at least one network flow path from the network topology and the flow statistics for the at least one ingress network border device. The network computing device generates the flow statistics for at least one network device along the at least one network flow path without receiving flow statistics from the at least one network device along the at least one network flow path.

Abstract: In one embodiment, a service receives machine learning-based generative models from a plurality of distributed sites. Each generative model is trained locally at a site using unlabeled data observed at that site to generate synthetic unlabeled data that mimics the unlabeled data used to train the generative model. The service receives, from each of the distributed sites, a subset of labeled data observed at that site. The service uses the generative models to generate synthetic unlabeled data. The service trains a global machine learning-based model using the received subsets of labeled data received from the distributed sites and the synthetic unlabeled data generated by the generative models.

Abstract: In one embodiment, a device determines locations of a plurality of transmitters relative to a particular wireless access point in a wireless network. One of the transmitters comprises a target client to which the particular wireless access point is to communicate. The device compares a plurality of beamforming patterns associated with the particular wireless access point to the determined locations. The device selects, based on the comparison, one of the beamforming patterns for use by the particular wireless access point to communicate with the target client. The device controls the particular wireless access point to use the selected beamforming pattern to communicate with the target client.

Abstract: A scaffold-free microtissue is disclosed that includes one or more gold nanostructures linked to a functional moiety, wherein the functional moiety is one or more vasculogenic peptides, one or more anti-inflammatory peptides, one or more antiapoptotic peptides, one or more antinecrotic peptides, one or more antioxidant peptides, one or more oligonucleotides, one or more lipid particles, one or more phospholipid particles, one or more liposomes, one or more nanoliposomes, one or more microRNAs, or one or more siRNAs. The scaffold-free microtissue further includes a plurality of cardiac myocytes or cardiac myoblasts, which are conjugated to the one or more gold nanostructures, wherein the plurality of cardiac myocytes or cardiac myoblasts are arranged in a cluster.

Abstract: In one embodiment, a device determines locations of a plurality of transmitters relative to a particular wireless access point in a wireless network. One of the transmitters comprises a target client to which the particular wireless access point is to communicate. The device compares a plurality of beamforming patterns associated with the particular wireless access point to the determined locations. The device selects, based on the comparison, one of the beamforming patterns for use by the particular wireless access point to communicate with the target client. The device controls the particular wireless access point to use the selected beamforming pattern to communicate with the target client.

Abstract: A network device that is configured to optimize network performance collects a training dataset representing one or more network device states. The network device trains a first model with the training dataset. The first model may be trained to generate one or more fabricated attributes of artificial network traffic through the network device. The network device trains a second model with the training dataset. The second model may be trained to generate a predictive experience metric that represents a predicted performance of an application program of a client device communicating traffic via the network. The network device generates the fabricated attributes based on the training of the first model. The network device generates the predictive experience metric based on the training of the second model and using the one or more fabricated attributes. The network device alters configurations of the network based on the predictive experience metric.

Abstract: The present invention provides a temperature-responsive dual-gelling hydrogel comprising a plurality of hydrogel polymers and a polymer cross-linking moiety, wherein the LCST of the hydrogel polymers is less than 37° C., and the polymer cross-linking moiety is capable of chemically cross linking to the hydrogel polymers to form a polymer matrix.

Abstract: A methodology includes determining coarse location coordinates for a mobile device, anchoring the coarse location coordinates to a map, receiving inertial measurement unit data supplied by the mobile device, wherein the inertial measurement unit data is indicative of relative location coordinates of the mobile device, generating an unanchored path of the mobile device based on the relative location coordinates, and anchoring the unanchored path of the mobile device to the map in a position that optimizes a match between the coarse location coordinates and the relative location coordinates of the mobile device.

Abstract: A methodology includes determining coarse location coordinates for a mobile device, anchoring the coarse location coordinates to a map, receiving inertial measurement unit data supplied by the mobile device, wherein the inertial measurement unit data is indicative of relative location coordinates of the mobile device, generating an unanchored path of the mobile device based on the relative location coordinates, and anchoring the unanchored path of the mobile device to the map in a position that optimizes a match between the coarse location coordinates and the relative location coordinates of the mobile device.

Abstract: A methodology includes receiving from a first mobile device a first estimated location of the first mobile device and a first estimated error associated with the first estimated location, the first estimated location being based on first coarse data from a first wireless access point location determination system fused with inertial measurement unit (IMU) data from the first mobile device, receiving from a second mobile device a second estimated location of the second mobile device and a second estimated error associated with the second estimated location, the second estimated location being based on second coarse data from the first wireless access point location determination system fused with IMU data from the second mobile device, and based on the first estimated error and the second estimated error, determining a recommended change to a deployment of a wireless access point associated with the first wireless access point location determination system.

Abstract: A network computing device determines a network topology for at least one network flow path between at least one ingress network border device and at least one egress network border device. The network computing device receives a message containing data indicating flow statistics for the at least one ingress network border device. The network computing device generates flow statistics for at least one network device along the at least one network flow path from the network topology and the flow statistics for the at least one ingress network border device. The network computing device generates the flow statistics for at least one network device along the at least one network flow path without receiving flow statistics from the at least one network device along the at least one network flow path.