Abstract: A method and system are provided. The method includes converting, by a computer having a processor and a memory, categorical sequence data for a customer journey into a numerical similarity matrix. The method further includes learning, by the computer, features of the customer journey by applying a distance metric learning based matrix factorization approach to the numerical similarity matrix.

Abstract: A system and a method for an electrical energy supply device including an anode; a cathode; an electrolyte disposed between the anode and the cathode; the electrical energy supply device is freeze resistant such that the electrical energy supply device can operate at a temperature below 0° C. without deterioration in electrical properties or electrical performance.

Abstract: An electrolyte for use in an energy storage device, an energy storage device and a method of forming such electrolyte. The electrolyte includes a polymer matrix of at least two crosslinked structures, including a first polymeric material and a second polymeric material; and an electrolytic solution retained by the polymer matrix; wherein the electrolyte is arranged to physically deform when subjected to an external mechanical load applied to the polymer matrix.

Abstract: An embodiment of the invention may include a method, computer program product and computer system for image identification and classification. The method, computer program product and computer system may include a computing device which may receive one or more images of a first object from at least two angles linguistic data associated with the first object. The computing device may input the one or more images of the first object into one or more first neural networks and the linguistic data of the first object into one or more second neural networks. The computing device may combine the output of the one or more first neural networks and the one or more second neural networks and generate an identification model based on the combined output of the one or more first neural networks and the one or more second neural networks.

Abstract: A method and system to perform spatio-temporal prediction are described. The method includes obtaining, based on communication with one or more sources, multi-scale spatial datasets, each of the multi-scale spatial datasets providing a type of information at a corresponding granularity, at least two of the multi-scale spatial datasets providing at least two types of information at different corresponding granularities. The method also includes generating new features for each of the multi-scale spatial datasets, the new features being based on features of each of the multi-scale spatial datasets and spatial relationships between and within the multi-scale spatial datasets. The method further includes selecting, using the processor, features of interest from among the new features, training a predictive model based on the features of interest, and predicting an event based on the predictive model.

Abstract: Electronic health records of a plurality of patients are received. A risk prediction model for a disease based on the electronic health records of the plurality of patients is created. An electronic health record of an original patient is received. A neighboring group of patients of the plurality of patients is identified, wherein the neighboring group of patients is two or more patients similar to the original patient. An ordering of the two or more patients of the neighboring group of patients is received, wherein the ordering of the two or more patients of the neighboring group of patients is based upon how similar each patient of the two or more patients is to the original patient. The risk prediction model is updated based on the ordering of the two or more patients of the neighboring group of patients.

Abstract: A method, system and computer program product for identifying a geographic market share. Mobility data is acquired from applications running on mobile devices of users located within a geographic area. Mobility data is then used to infer shopping habits within the geographic area. Geo-demographic profiles are then created. The geographic market share is then determined using the created geo-demographic profiles.

Abstract: A method, system and computer program product for identifying a geographic market share. Mobility data is acquired from applications running on mobile devices of users located within a geographic area. Mobility data is then used to infer shopping habits within the geographic area. Geo-demographic profiles are then created. The geographic market share is then determined using the created geo-demographic profiles.

Abstract: The invention provides a nitrogen-doped graphene coated nano sulfur positive electrode composite material, a preparation method, and an application thereof. The composite material includes: an effective three-dimensional conductive network formed by overlapping of nitrogen-doped graphenes, and nano sulfur particles coated by nitrogen doped graphene layers evenly. The preparation method includes: dispersing nitrogen-doped graphenes in a liquid-phase reaction system including at least sulfur source and acid, and depositing nano sulfur particles by an in-situ chemical reaction of the sulfur source and the acid, thereby preparing the positive electrode composite material. The positive electrode composite material of the invention has a high conductivity, a high sulfur utilization rate, and a high rate, thereby restraining the dissolution and shuttle effect in the lithium sulfur batteries, and enhancing the cyclic performance of the batteries.

Abstract: Geo-defect repair modeling with location uncertainty is provided. A method includes logically dividing a railroad network into segments each of a specified length. The method also includes identifying, via a computer processor, geo-defects and approximated locations of the geo-defects occurring at each inspection run for each of the segments. The method also includes calculating, via the computer processor, a rate of increase in amplitude of each of the geo-defects for each of the segments between inspection runs, determining a correlation of the geo-defects between the inspection runs as a function of the approximated locations, and predicting a deterioration rate for each of the geo-defects based on the calculating.

Abstract: A proton exchange membrane fuel cell that includes: a positive electrode; a negative electrode; a polyelectrolyte membrane; and platelet-shaped nanoparticles of gold, platinum, palladium, silver, copper or their alloys or mixtures thereof. The polyelectrolyte membrane includes a sulfonated tetrafluoroethylene based fluoropolymer-copolymer and is disposed between the positive electrode and the negative electrode. The nanoparticles contact the surface of the proton exchange membrane increase the efficiency of the fuel cell by at least 50%.

Abstract: A computer system implemented method for selectively responding to weather events includes receiving indicia of behaviors of persons for a weather event and determining a weather susceptibility score for the persons responsive to the indicia of behaviors for the weather event of the persons. Persons are classified into segments based on the weather susceptibility scores, such that the persons in respectively different ones of the segments have respectively different behaviors for the weather event and receives notification of the weather event. Responsive to the notification, a first one of the segments is selected, and a first action is initiated directed to the persons of a first one of the segments. The first action tends to affect the behaviors of the persons in the first one of the segments.

Abstract: A composition used to form the active layer of a solar cell or hydrogen fuel cell that comprises, consists of or consists essentially of a homogenous dispersion, poly(3-hexylthiophene-2,5-diyl) (P3HT) and 1-(3-methoxycarbonyl)propyl-1-phenyl[6,6]C61 (PCBM). The homogenous dispersion comprises, consists of or consists essentially of graphene oxide (GO) or reduced graphene oxide (RGO) and sulfonated polystyrene (PSS) or para-methoxy-N-methylamphetamine (PMMA). The GO or RGO can be functionalized with a metal, preferably gold (Au), platinum (Pt), palladium (Pd) or ferric oxide (Fe2O3).

Abstract: Systems and methods which provide a polyacrylamide (PAM) based flexible and rechargeable zinc-ion battery (ZIB) configuration are described. Embodiments of a ZIB configuration comprise a PAM based polymer electrolyte. For example, a ZIB configuration of embodiments may comprise a manganese-dioxide (MnO2) cathode, a zinc (Zn) anode, and a PAM based polymer electrolyte. The PAM based polymer electrolyte may comprise a PAM based polymer hosting one or more solutions to form a hydrogel electrolyte (e.g., crosslinked polyacrylamide hydrogel electrolyte). For example, the PAM based polymer electrolyte may be configured as a polyelectrolyte matrix host for the one or more solutions, such as may comprise a neutral solution of zinc sulfate and manganese sulfate, to achieve a stable electro chemical performance under the repetitive deformation conditions.

Abstract: Electronic health records of a plurality of patients are received. A risk prediction model for a disease based on the electronic health records of the plurality of patients is created. An electronic health record of an original patient is received. A neighboring group of patients of the plurality of patients is identified, wherein the neighboring group of patients is two or more patients similar to the original patient. An ordering of the two or more patients of the neighboring group of patients is received, wherein the ordering of the two or more patients of the neighboring group of patients is based upon how similar each patient of the two or more patients is to the original patient. The risk prediction model is updated based on the ordering of the two or more patients of the neighboring group of patients.

Abstract: Electronic health records of a plurality of patients are received. A risk prediction model for a disease based on the electronic health records of the plurality of patients is created. An electronic health record of an original patient is received. A neighboring group of patients of the plurality of patients is identified, wherein the neighboring group of patients is two or more patients similar to the original patient. An ordering of the two or more patients of the neighboring group of patients is received, wherein the ordering of the two or more patients of the neighboring group of patients is based upon how similar each patient of the two or more patients is to the original patient. The risk prediction model is updated based on the ordering of the two or more patients of the neighboring group of patients.

Abstract: A method, system and computer program product for detecting anomalies in a metering system. In one embodiment, data representing usage of a defined commodity are collected from meters, and the data collected over a given time period are analyzed to identify any of the meters showing at least one defined type of anomalous usage pattern. For each of the meters showing an anomalous usage patterns, an anomaly score is determined for the usage pattern shown, and the anomaly scores are used to rank the meters. In one embodiment, the collected data are analyzed to identify any of the meters showing one or more of a group of types of anomalous patterns including meter-no-reading, meter-by-pass, and meter-silting patterns. Embodiments of the invention utilize time series techniques and data analysis on meter reading data. Further, embodiments of the invention require no additional installation of equipment or sensors.

Abstract: Methods and a system are provided that is performed by a computer server for inferring location context categories for a set of mobile users having at least two members. A method includes, for each mobile user in the set, obtaining at least one location context category therefor from publically available information responsive to uncertain mobile device location data. The method further includes applying multi-user collaborative machine learning to the at least one location context category for each mobile user in the set to infer a single refined location context category for each mobile user in the set.

Abstract: An energy storage apparatus and a method for fabricating the energy storage apparatus. The energy storage apparatus includes a pair of electrodes including an anode and a cathode; an electrolyte at least partially surrounding each of the pair of electrodes; and an encapsulation arranged to encapsulate the electrodes and the electrolyte; wherein the combination of the electrodes, the electrolyte and the encapsulation is mechanically flexible.

Abstract: A polymer electrolyte membrane fuel cell that includes a positive electrode, a negative electrode, a polyelectrolyte membrane and a solution of reduced graphene oxide and/or graphene oxide functionalized with metallized nanoparticles. The electrodes are coated with a polymer and the polyelectrolyte membrane has a hydrophobic exterior surface that is subjected to ultraviolet/ozone (UV/O3) exposure, which changes the hydrophobic, exterior surface to a hydrophilic exterior surface. The polyelectrolyte membrane is disposed between the positive electrode and the negative electrode and can include a sulfonated tetrafluoroethylene based fluoropolymer-copolymer. The solution forms a coating on the hydrophilic exterior surface of the polymer electrolyte membrane and the positive and negative electrodes. The positive and negative electrodes can be coated with a polymer, preferably polytetrafluoroethylene (PTFE) that can be subjected to ultraviolet/ozone (UV/O3) exposure.