Abstract: A method of treating skin is disclosed. The method can include topically applying to skin in need thereof a composition comprising Hylocereus undatus fruit extract, Aloe barbadensis leaf extract, and methyldihydrojasmonate or panthenol, wherein topical application of the composition treats the skin.

Abstract: Systems and methods of using machine-learning to improve communications across different networks are described. A CIRN node identifies whether it is within range of a source and destination node in a different network using explicit information or a machine-learning classification model. A neural network is trained to avoid interference using rewards associated with reduced interference or retransmission levels in each network or improved throughput at the CIRN node. A machine-learning scheduling algorithm determines a relay mode of the CIRN node for source and destination node transmissions. The scheduling algorithm is based on the probability of successful transmission between the source and destination nodes multiplied by a collaboration score for successful transmission and the probability of unsuccessful transmission of the particular packet multiplied by a collaboration score for unsuccessful transmission.

Abstract: Methods, apparatus, systems and articles of manufacture to provide machine assisted programming are disclosed. An example apparatus includes processor circuitry to execute computer readable instructions to: execute a machine learning model to generate a first code recommendation for programming code, the first code recommendation being associated with security of the programming code; cause output of the first code recommendation via a user interface; update the machine learning model based on feedback obtained via the user interface; determine a performance of the programming code; generate a second code recommendation, the second code recommendation being associated with the performance of the programming code; and cause output of the second code recommendation via the user interface.

Abstract: Systems and techniques for machine generation of content names in an information centric network (ICN) are described herein. For example, a node may obtain content. An inference engine may be invoked to produce a name for the content. Once the content is named, the node may respond to an interest packet that includes the name of the content. The response is a data packet that includes the content.

Abstract: Disclosed are nutritional compositions including 2?-fucosyllactose (2?-FL) in combination with lutein and RRR-alpha-tocopherol. The nutritional compositions are useful for improving at least one of gut function, health, and development in an individual. In certain embodiments, the nutritional compositions can improve growth or maturation of the gut, as well as promote a healthy balance of beneficial bacteria in the gastrointestinal tract thereby treating and/or preventing formula intolerance or other gastrointestinal diseases and/or disorders resulting from suboptimal gastrointestinal flora population/balance.

Abstract: Methods, apparatus, systems and articles of manufacture to provide machine assisted programming are disclosed. An example apparatus includes a feature extractor to convert compiled code into a first feature vector; a first machine leaning model to identify a cluster of stored feature vectors corresponding to the first feature vector; and a second machine learning model to recommend a second algorithm corresponding to a second feature vector of the cluster based on a comparison of a parameter of a first algorithm corresponding to the first feature vector and the parameter of the second algorithm.

Abstract: Systems and techniques for an information centric network (ICN) distributed search with approximate cache and forwarding information lookup. For example, a search interest packet may be received. Here, the search interest packet includes search criteria and a signal indicating that it is a search interest packet. A search for content—including content in a local content store—that meets the search criteria may then be performed. Once complete, a data packet that includes the results of the search may be transmitted towards an author of the search interest packet.

Abstract: System and techniques for Information Centric Network (ICN) routing are described herein. An ICN node receives a routing packet—which is a link layer packet corresponding to a link of the ICN node—that includes an ICN name and a routing metric. An entry for the link and name is created or updated and then sorted into a local routing data store based on the routing metric. Then, an interest packet for the ICN name is routed via the link based on the entry having a highest rank in the local routing data store.

Abstract: Methods, apparatus, systems and articles of manufacture to provide machine assisted programming are disclosed. An example apparatus includes a feature extractor to convert compiled code into a first feature vector; a first machine leaning model to identify a cluster of stored feature vectors corresponding to the first feature vector; and a second machine learning model to recommend a second algorithm corresponding to a second feature vector of the cluster based on a comparison of a parameter of a first algorithm corresponding to the first feature vector and the parameter of the second algorithm.

Abstract: Systems and methods for enabling quality-of-service (QoS) within information centric networking (ICN) networks include receiving, at a network node of an ICN network, an interest packet including a name field and a quality-of-service (QoS) field, the QoS field including at least one QoS parameter. The network node is configured to extract the at least one QoS parameter and a name from the interest packet and forward the interest packet from the network node based on both the name and the QoS parameter.

Abstract: Systems and techniques for information centric network (ICN) approximate computation caching are described herein. For example, an interest packet that includes a feature set of input data may be received. A node may then perform a search of a local data store using the feature set to determine an approximate computation result cached in the local data store. Here, the approximate computation result may be based on input data that differs from the input data named in the interest packet. The node may then return the approximate computation result to an author of the interest packet in response to the search.

Abstract: Disclosed are methods of modulating and/or decreasing serum corticosterone levels in an individual affected by stress. Further disclosed are methods of modulating the hypothalamic pituitary adrenal response in an individual. The methods include administration of 2-fucosyl-lactose to an individual.

Abstract: Systems and techniques for information-centric network data cache management are described herein. A demand metric may be calculated for a content item requested from an information-centric network (ICN). A resistance metric may be calculated for each cache node of a set of cache nodes in the ICN based on the demand metric. A topology of the set of cache nodes may be evaluated to identify a transmission cost for each cache node of the set of cache nodes. An influencer node may be selected from the set of cache nodes based on the resistance metric for the influencer node and the transmission cost for the influencer node. The content item may be cached in a data cache of the influencer node.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for code review assistance for dynamically typed languages. An example apparatus to analyze a segment of code includes a function identifier to identify a first input of a first function call included in the segment of the code, a parameter type vector (PTV) estimator model to estimate a first data structure based on the first input, the PTV estimator model generated via a set of reviewed code, a PTV determiner to generate a second data structure based on a data parameter type of the first input, an error comparator to determine a first reconstruction error based on the first data structure, and the second data structure and a recommendation generator to, if the first reconstruction error does not satisfy a recommendation threshold, generate a first recommendation to review the first function call.

Abstract: Disclosed are methods of modulating and/or decreasing serum corticosterone levels in an individual affected by stress. Further disclosed are methods of modulating the hypothalamic pituitary adrenal response in an individual. The methods include administration of 2-fucosyl-lactose to an individual.

Abstract: Systems and methods of using machine-learning to improve communications across different networks are described. A CIRN node identifies whether it is within range of a source and destination node in a different network using explicit information or a machine-learning classification model. A neural network is trained to avoid interference using rewards associated with reduced interference or retransmission levels in each network or improved throughput at the CIRN node. A machine-learning scheduling algorithm determines a relay mode of the CIRN node for source and destination node transmissions. The scheduling algorithm is based on the probability of successful transmission between the source and destination nodes multiplied by a collaboration score for successful transmission and the probability of unsuccessful transmission of the particular packet multiplied by a collaboration score for unsuccessful transmission.

Abstract: Systems and techniques for node-density aware interest packet forwarding in a dynamic ad hoc information centric network (ICN) are described herein. For example, a next interest packet to forward may be obtained at a network node. A time period to hold the next interest packet before forwarding may be calculated based on node density in the network. The node may then broadcast the next interest packet upon expiration of a timer set to the time period and started when the next interest packet was obtained.

Abstract: For example, an apparatus may include logic and circuitry configured to cause a wireless communication device to determine at least one video quality parameter representing an estimated quality of at least one video stream to be streamed via the wireless communication device to a display device over a wireless communication medium; to determine a scheduling policy parameter based at least on the video quality parameter; and to provide the scheduling policy parameter to a Media Access Control (MAC) scheduler to schedule wireless transmission of the at least one video stream to the display device.

Abstract: The invention relates to a new lutetium-177 therapeutic radiopharmaceutical as an inhibitor of prostate-specific membran antigen (iPSMA), wherein 1,4,7,10-tetraazacyclododecane-N,N?,N?,N??-tetraacetic acid (DOTA) bonded to the heterocyclic molecule hydrazinonicotinamide (HYNIC), generates a rigid chemical structure that minimises the number of conformers and intramolecular hydrogen bonds, thereby producing a favourable spatial orientation of the active site (Lys(Nal)-NH—CO—NH-Glu) in the molecule, for biological recognition by the PSMA protein. The new 177Lu-DOTA-HYNIC-iPSMA radiopharmaceutical accumulates, with high affinity in vivo, in tumours that overexpress the PSMA protein, acting as a radiotherapeutic agent.

Abstract: A new and distinct variety of olive tree, herein referred to by its cultivar name, ‘I-20’, is provided which forms a dropping growth habit. Fruit with a low weight and obtuse shape is produced. The fruit exhibit dark violet coloration and the fruit nipple is absent or weak. The stone of the fruit of the new variety is of low weight, moderately elongated and possess a weakly rugose surface.