Abstract: This invention relates to metal organic framework (MOF) compositions, methods of preparing them and methods of using them. The MOF compositions are characterized in that at least a portion of the linker molecule is an amino containing organic linker. The MOF also has a crystal size of greater than 1 ?m and has been treated with an acid wash to provide a MOF in which at least 55% of the amino groups are activated amino groups of the form —NH2. The MOF compositions are useful in adsorbing various contaminants from various gas stream. One specific example is adsorbing NO2 from an air stream.

Abstract: This invention relates to a method of using MOF adsorbents to remove elemental impurities from feed streams comprising active pharmaceutical ingredients (API). The process involves contacting the feed stream comprising API and elemental impurities with the MOF at purification conditions to obtain a purified stream with provides an API which has a concentration of the elemental impurity below its permitted daily exposure. The process can be carried in a batch mode where the MOF and feed stream are admixed in a vessel for a given amount of time or continuously by flowing the feed stream through a column or adsorbent bed containing the MOF adsorbent.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: This invention relates to a Cu-BTC MOF which is water stable. The Cu-BTC MOF has been modified by substituting some of the BTC ligand (1,3,5, benzene tricarboxylic acid) with 5-aminoisophthalic acid (AIA). The resultant MOF retains at least 40% of its as synthesized surface area after exposure to liquid water at 60° C. for 6 hours. This is an unexpected result versus the MOF containing only the BTC ligand. This MOF can be used to abate contaminants such as ammonia in gas streams and especially air streams.

Abstract: There is a need for solutions for efficiently and reliably maintain data security policies. This need can be addressed by, for example, solutions for performing dynamic security enforcement in a data interaction platform. In one example, a method includes determining a security profile for a data object; receiving a data access request associated with the data object, wherein the data access request is associated with one or more runtime parameters associated with the data access request; determining, based at least in part on the one or more runtime parameters; determining, based at least in part on the selected security environment and the security profile, a selected access level of the plurality of access levels for the data object; and processing the data access request based at least in part on the selected access level.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for solutions for efficiently and reliably perform sensor-based predictive data analysis. This need can be addressed by, for example, solutions for performing cross-sensor predictive data analysis. In one example, a method for performing cross-sensor predictive data analysis includes identifying sensor input data objects comprising one or more image data objects; determining sensor feature data objects based on the sensor input data objects; generating predictions for a target predictive entity associated with the sensor input data objects by processing the sensor feature data objects using a cross-sensor predictive inference model; and performing prediction-based actions based on the cross-sensor predictions.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: There is a need for more effective and efficient data modeling and/or data visualization solutions. This need can be addressed by, for example, solutions for performing data modeling and/or data visualization in an effective and efficient manner. In one example, solutions for generating a data model with dynamic relational awareness are disclosed. In another example, solutions for processing data retrieval queries using data models with dynamic relational awareness are disclosed. In yet another example, solutions for generating data visualizations using data models with dynamic relational awareness are disclosed. In a further example, solutions for integrating external data objects into data models with dynamic relational awareness are disclosed.

Abstract: A metal-organic framework (MOF) structure comprising at least one metal ion and at least one multidentate organic ligand which is coordinately bonded to said metal ion, and a scaffold.

Abstract: A porous material, including metal organic frameworks (MOFs) and porous organic polymer (POP), with reactivity with or sorptive affinity towards (a) electronic gas to substantially remove or abate electronic gas in an electronic gas-containing effluent, or (b) contaminants in a stream of electronic gas to substantially remove the contaminants from a stream of electronic gas and increase the purity of said electronic gas, or (c) trace mercury contaminant in a hydrocarbon stream to substantially remove said mercury contaminant and increase the purity of said hydrocarbon stream. MOFs are the coordination product of metal ions and multidentate organic ligands, whereas POPs are the product of polymerization between organic monomers.

Abstract: A method of purifying a target fluid containing one or more impurities, the method includes providing the target fluid to a vessel having an adsorbent material located therein, where the absorbent material is a metal organic framework (MOF) or a porous organic polymer (POP), preferentially adsorbing either the target fluid or at least one of the one or more impurities on the adsorbent material, and venting the target fluid from the vessel if the impurities are preferentially adsorbed on the adsorbent material or venting the one or more impurities from the vessel if the target fluid is preferentially adsorbed on the adsorbent material.

Abstract: A metal-organic framework (MOF) structure comprising at least one metal ion and at least one multidentate organic ligand which is coordinately bonded to said metal ion, and a scaffold.

Abstract: A metal-organic framework (MOF) structure comprising at least one metal ion and at least one multidentate organic ligand which is coordinately bonded to said metal ion, and a scaffold.

Abstract: A metal organic framework (MOF) includes a coordination product of a metal ion and an at least bidentate organic ligand, where the metal ion and the organic ligand are selected to provide a deliverable adsorption capacity of at least 70 g/l for an electronic gas. A porous organic polymer (POP) includes polymerization product from at least a plurality of organic monomers, where the organic monomers are selected to provide a deliverable adsorption capacity of at least 70 g/l for an electronic gas.

Abstract: A metal organic framework (MOF) includes a coordination product of a metal ion and an at least bidentate organic ligand, where the metal ion and the organic ligand are selected to provide a deliverable adsorption capacity of at least 70 g/l for an electronic gas. A porous organic polymer (POP) includes polymerization product from at least a plurality of organic monomers, where the organic monomers are selected to provide a deliverable adsorption capacity of at least 70 g/l for an electronic gas.

Abstract: Adsorption systems providing a capacity of at least 200 g/L for oxygen-containing mixtures, or an oxygen-nitrogen selectivity of at least 1.4:1 or at least 1:2 with an adsorbed capacity of at least 0.6 mmol/g at 4 bar and 22° C.

Abstract: A porous material, including metal organic frameworks (MOFs) and porous organic polymer (POP), with reactivity with or sorptive affinity towards (a) electronic gas to substantially remove or abate electronic gas in an electronic gas-containing effluent, or (b) contaminants in a stream of electronic gas to substantially remove the contaminants from a stream of electronic gas and increase the purity of said electronic gas, or (c) trace mercury contaminant in a hydrocarbon stream to substantially remove said mercury contaminant and increase the purity of said hydrocarbon stream. MOFs are the coordination product of metal ions and multidentate organic ligands, whereas POPs are the product of polymerization between organic monomers.