Abstract: Methods, systems, and computer programs are presented for reconciling a transaction against data in a database to identify the transaction parameters based on text descriptors provided for the transaction. One method includes an operation for identifying features for reconciling transactions of a first entity by a machine-learning program. The features include, at least, a description of the transaction, a name of a second entity in the transaction, a location of the second entity, and an account for the transaction. The machine-learning program is trained with training data that includes values of the features for previously reconciled transactions. A received first transaction includes a description, a date, and an amount. The first transaction is input for the machine-learning program, which generates one or more suggestions for reconciling the first transaction. Each suggestion includes the name of the second entity in the first transaction and an account.

Abstract: Methods, systems, and computer programs are presented for reconciling a transaction against data in a database to identify the transaction parameters based on text descriptors provided for the transaction. One method includes an operation for identifying features for reconciling transactions of a first entity by a machine-learning program. The features include, at least, a description of the transaction, a name of a second entity in the transaction, a location of the second entity, and an account for the transaction. The machine-learning program is trained with training data that includes values of the features for previously reconciled transactions. A received first transaction includes a description, a date, and an amount. The first transaction is input for the machine-learning program, which generates one or more suggestions for reconciling the first transaction. Each suggestion includes the name of the second entity in the first transaction and an account.

Abstract: Methods, systems, and computer programs are presented for reconciling a transaction against data in a database to identify the transaction parameters based on text descriptors provided for the transaction. One method includes an operation for identifying features for reconciling transactions of a first entity by a machine-learning program. The features include, at least, a description of the transaction, a name of a second entity in the transaction, a location of the second entity, and an account for the transaction. The machine-learning program is trained with training data that includes values of the features for previously reconciled transactions. A received first transaction includes a description, a date, and an amount. The first transaction is input for the machine-learning program, which generates one or more suggestions for reconciling the first transaction. Each suggestion includes the name of the second entity in the first transaction and an account.

Abstract: Methods, systems, and computer programs are presented for reconciling a transaction against data in a database to identify the transaction parameters based on text descriptors provided for the transaction. One method includes an operation for identifying features for reconciling transactions of a first entity by a machine-learning program. The features include, at least, a description of the transaction, a name of a second entity in the transaction, a location of the second entity, and an account for the transaction. The machine-learning program is trained with training data that includes values of the features for previously reconciled transactions. A received first transaction includes a description, a date, and an amount. The first transaction is input for the machine-learning program, which generates one or more suggestions for reconciling the first transaction. Each suggestion includes the name of the second entity in the first transaction and an account.

Abstract: Methods, systems, and computer programs are presented for reconciling a transaction against data in a database to identify the transaction parameters based on text descriptors provided for the transaction. One method includes an operation for identifying features for reconciling transactions of a first entity by a machine-learning program. The features include, at least, a description of the transaction, a name of a second entity in the transaction, a location of the second entity, and an account for the transaction. The machine-learning program is trained with training data that includes values of the features for previously reconciled transactions. A received first transaction includes a description, a date, and an amount. The first transaction is input for the machine-learning program, which generates one or more suggestions for reconciling the first transaction. Each suggestion includes the name of the second entity in the first transaction and an account.

Abstract: Methods, systems, and computer programs are presented for reconciling a transaction against data in a database to identify the transaction parameters based on text descriptors provided for the transaction. One method includes an operation for identifying features for reconciling transactions of a first entity by a machine-learning program. The features include, at least, a description of the transaction, a name of a second entity in the transaction, a location of the second entity, and an account for the transaction. The machine-learning program is trained with training data that includes values of the features for previously reconciled transactions. A received first transaction includes a description, a date, and an amount. The first transaction is input for the machine-learning program, which generates one or more suggestions for reconciling the first transaction. Each suggestion includes the name of the second entity in the first transaction and an account.

Abstract: Methods, systems, and computer programs are presented for reconciling a transaction against data in a database to identify the transaction parameters based on text descriptors provided for the transaction. One method includes an operation for identifying features for reconciling transactions of a first entity by a machine-learning program. The features include, at least, a description of the transaction, a name of a second entity in the transaction, a location of the second entity, and an account for the transaction. The machine-learning program is trained with training data that includes values of the features for previously reconciled transactions. A received first transaction includes a description, a date, and an amount. The first transaction is input for the machine-learning program, which generates one or more suggestions for reconciling the first transaction. Each suggestion includes the name of the second entity in the first transaction and an account.

Abstract: An inflatable tent assembly includes a trailer has a pair of wheels, a hitch and a body. The body has a plurality of storage compartments therein. The body has a front end, a back end, a first lateral side and a second lateral side. A generator is coupled to the trailer and the generator is positioned on the body. A blower is positioned in the trailer and the blower is positioned on the body. A tent is removably contained within the tent compartment and the tent is positionable on a support surface. The tent is selectively operationally coupled to the blower such that the blower inflates the tent into a standing position. Thus, the tent may be occupied.

Abstract: An inflatable tent assembly includes a trailer has a pair of wheels, a hitch and a body. The body has a plurality of storage compartments therein. The body has a front end, a back end, a first lateral side and a second lateral side. A generator is coupled to the trailer and the generator is positioned on the body. A blower is positioned in the trailer and the blower is positioned on the body. A tent is removably contained within the tent compartment and the tent is positionable on a support surface. The tent is selectively operationally coupled to the blower such that the blower inflates the tent into a standing position. Thus, the tent may be occupied.

Abstract: A system is disclosed as having a display device, one or more processors, and a non-transitory machine readable medium coupled to the processors. The non-transitory machine readable medium stores instructions which cause the one or more processors to receive data indicative of entity information for a set of entities. The processor presents an entity search tool comprising a plurality of search criteria sets. Each search criteria set comprising a first selector, a second selector, and a third selector. The processor receives a selection in the first selector, the second selector, and the third selector. The selections are indicative of selected search criteria. The processor identifies a result indicative of at least a portion of the entity information from the one or more entity corresponding to the selected search criteria. The processor presents the result on the display device.

Abstract: A system and method for generating a conference call within a social network is disclosed. The participants are all members of an affinity group and they communicate with each other using different social streams. When the stream becomes too complicated, a participant transforms the social stream into a conference call so that the discussion is held in real-time. The participant that requests the conference call is designated as a moderator. The moderator controls the conference, including the members of the affinity group, through a user interface. Once the conference is established a notification can be sent to invitees and other members of the affinity group. The notification can also be published on a social network.

Abstract: A system and method for generating a conference call within a social network is disclosed. The participants are all members of an affinity group and they communicate with each other using different social streams. When the stream becomes too complicated, a participant transforms the social stream into a conference call so that the discussion is held in real-time. The participant that requests the conference call is designated as a moderator. The moderator controls the conference, including the members of the affinity group, through a user interface. Once the conference is established a notification can be sent to invitees and other members of the affinity group. The notification can also be published on a social network.

Abstract: An H2-permeable membrane system (117) comprises an electroless-deposited plating (115) of Pd or Pd alloy on a porous support (110, 110?). The Pd plating comprises face-centered cubic crystals cumulatively having a morphology of hexagonal platelets. The permeability to H2 of the membrane plating (115) on the porous support is significantly enhanced, being at least greater than about 1.3×10?8 mol·m?1·s?·Pa?0.5 at 350° C., and even greater than about 3.4×10?8 mol·m?1·s?1·Pa?0.5. The porous support (110, 110?) may be stainless steel (1100 and include a thin ceramic interlayer (110?) on which the Pd is plated. The method of providing the electroless-deposited plating includes preheating a Pd electroless plating solution to near a plating temperature substantially greater than room temperature, e.g. 60° C., prior to plating.

Abstract: The invention relates to peptides (termed propeller peptides herein) and related peptides (termed peptides of the G12.2 family herein), about 60 to about 90 residues in length, which are naturally available in minute amounts in the venom of the cone snails or analogous to the naturally available peptides, and which blocks the desensitization of AMPA-type ionotropic glutamate receptors (AMPARs).

Abstract: An H2-permeable membrane system (117) comprises an electroless-deposited plating (115) of Pd or Pd alloy on a porous support (110, 110?). The Pd plating comprises face-centered cubic crystals cumulatively having a morphology of hexagonal platelets. The permeability to H2 of the membrane plating (115) on the porous support is significantly enhanced, being at least greater than about 1.3×10?8 mol·m?1·s?·Pa?0.5 at 350° C., and even greater than about 3.4×10?8 mol·m?1·s?1·Pa?0.5. The porous support (110, 110?) may be stainless steel (1100 and include a thin ceramic interlayer (110?) on which the Pd is plated. The method of providing the electroless-deposited plating includes preheating a Pd electroless plating solution to near a plating temperature substantially greater than room temperature, e.g. 60° C., prior to plating.

Abstract: The materials of adjoining porous metal substrate (12), oxide (14), and Pd-alloy membrane (16) layers of a composite, H2—separation palladium membrane (10) have respective thermal expansion coefficients (TEC) which differ from one another so little as to resist failure by TEC mismatch from thermal cycling. TEC differences (20, 22) of less than 3 ?m/(m.k) between materials of adjacent layers are achieved by a composite system of a 446 stainless steel substrate, an oxide layer of 4 wt % yittria-zirconia, and a 77 wt % Pd-23 wt % Ag or 60 wt % Pd-40 wt % Cu, membrane, having TECs of 11, 11, and 13.9 ?m/(m.k), respectively. The Intermediate oxide layer comprises particles forming pores having an average pore sizeless than 5 microns, and preferably less than about 3 microns, in thickness.

Abstract: The invention relates to relatively short peptides (termed ?-conotoxins herein), about 10-25 residues in length, which are naturally available in minute amounts in the venom of the cone snails or analogous to the naturally available peptides, and which preferably include two disulfide bonds.

Abstract: This invention includes methods and systems for processing biomedical devices, such as ophthalmic lenses, formed with a prepolymer reactin mixture and packaged within a mold part used to fashion the device.

Abstract: A thermally managed solar cell system includes a photovoltaic cell for generating electricity and heat. The system includes a housing, a base, and a heat removal device. The housing surrounds the solar cell system and has an open, rear portion. The base is positionable in the open portion of the housing and supports the photovoltaic cell. The base is also thermally conductive and spreads heat generated from the photovoltaic cell. The heat removal device and the base act as a single unit with the heat removal device being coupled to the base to remove the heat from the base.

Abstract: The invention relates to relatively short peptides (termed ?-conotoxins herein), about 10-25 residues in length, which are naturally available in minute amounts in the venom of the cone snails or analogous to the naturally available peptides, and which preferably include two disulfide bonds.