Abstract: Orthopedic devices are described including polymer compositions used to make the devices. The polymer composition contains a polyoxymethylene polymer in combination with various additives that prevent against agglomerations and spotting even when the composition contains significant amounts of coloring agents and/or waxes. In addition, the polymer composition has reduced formaldehyde emissions and excellent thermal stability properties.

Abstract: Orthopedic devices are described including polymer compositions used to make the devices. The polymer composition contains a polyoxymethylene polymer in combination with various additives that prevent against agglomerations and spotting even when the composition contains significant amounts of coloring agents and/or waxes. In addition, the polymer composition has reduced formaldehyde emissions and excellent thermal stability properties.

Abstract: Polyoxymethylene polymer compositions and molded articles made from the composition are disclosed that are fuel resistant, particularly diesel fuel resistant, and resistant to highly acidic solutions. The polymer composition contains a polyoxymethylene polymer generally in an amount from about 90% to about 95% by weight. In addition, the polymer composition contains an add neutralizing agent and a plasticizer at a weight ratio that has been found to significantly improve the add resistant properties of the composition.

Abstract: A polyoxymethylene polymer composition is disclosed containing a formaldehyde stabilizer package. The formaldehyde stabilizer package, which contains at least two emission control agents, dramatically and unexpectedly reduces formaldehyde emissions. The formaldehyde stabilizer package includes at least two emission control agents selected from the group of benzoguanamine compounds, a hydantoin, a substituted hydantoin, an amino acid, and an alkylene urea such as ethylene urea.

Abstract: A medical tube that contains a polymer composition that is generally flexible and biocompatible is provided. The polymer composition contains at least one ethylene vinyl acetate polymer and at least one viscoelastic additive. By selectively controlling specific aspects of the ethylene vinyl acetate polymer (e.g., vinyl acetate content, melt flow index, density, etc.), the viscoelastic additive, and the manner in which they are blended, the resulting composition can exhibit a reduced tendency to kink when formed into the medical tube.

Abstract: A medical tube that contains a polymer composition that is generally flexible and biocompatible is provided. The polymer composition contains at least one ethylene vinyl acetate polymer and at least one viscoelastic additive. By selectively controlling specific aspects of the ethylene vinyl acetate polymer (e.g., vinyl acetate content, melt flow index, density, etc.), the viscoelastic additive, and the manner in which they are blended, the resulting composition can exhibit a reduced tendency to kink when formed into the medical tube.

Abstract: Orthopedic devices are described including polymer compositions used to make the devices. The polymer composition contains a polyoxymethylene polymer in combination with various additives that prevent against agglomerations and spotting even when the composition contains significant amounts of coloring agents and/or waxes. In addition, the polymer composition has reduced formaldehyde emissions and excellent thermal stability properties.

Abstract: A medical tube that contains a polymer composition that is generally flexible and biocompatible is provided. The polymer composition contains at least one ethylene vinyl acetate polymer and at least one viscoelastic additive. By selectively controlling specific aspects of the ethylene vinyl acetate polymer (e.g., vinyl acetate content, melt flow index, density, etc.), the viscoelastic additive, and the manner in which they are blended, the resulting composition can exhibit a reduced tendency to kink when formed into the medical tube.

Abstract: A process for producing thermoplastic elastomers, particularly thermoplastic polyurethane elastomers, is described. The thermoplastic polyurethane elastomer is produced using a pyridine derivative, such as 4-morpholinopyridine.

Abstract: Utilization of information in a closed loop data system further augments modeling while at the same time enabling customization of offers based on spend patterns. Data mining techniques are leveraged to identify rules to determine higher response rate populations. These rules are referred to herein as “triggers,” in that the presence of particular attributes will trigger a cardholder as being more likely to respond to a particular offer. The benefit yielded by this approach is a greater acceptance rate to an offer provided by a transactional account company. To identify the triggers, records of cardmembers who already utilize a given product are analyzed to determine their spend patterns. The spend histories of customers who are eligible to use the product are analyzed according to the identified triggers. Customers whose spend patterns most closely correspond to the triggers are then targeted with offers for the given product.

Abstract: Utilization of information in a closed loop data system further augments modeling while at the same time enabling customization of offers based on spend patterns. Data mining techniques are leveraged to identify rules to determine higher response rate populations. These rules are referred to herein as “triggers,” in that the presence of particular attributes will trigger a cardholder as being more likely to respond to a particular offer. The benefit yielded by this approach is a greater acceptance rate to an offer provided by a transactional account company. To identify the triggers, records of cardmembers who already utilize a given product are analyzed to determine their spend patterns. The spend histories of customers who are eligible to use the product are analyzed according to the identified triggers. Customers whose spend patterns most closely correspond to the triggers are then targeted with offers for the given product.

Abstract: A liquid crystal polymer composition may comprise a liquid crystal polymer and an adhesion enhancement compound. Such a liquid crystal polymer may be utilized in layered articles, molded articles, and like and products like solar cells, optoelectronic structures, medical equipment, and tubing. Further, ethylene vinyl acetate adhesives may be utilized in some of the layered articles.

Abstract: Utilization of information in a closed loop data system further augments modeling while at the same time enabling customization of offers based on spend patterns. Data mining techniques are leveraged to identify rules to determine higher response rate populations. These rules are referred to herein as “triggers,” in that the presence of particular attributes will trigger a cardholder as being more likely to respond to a particular offer. The benefit yielded by this approach is a greater acceptance rate to an offer provided by a transactional account company. To identify the triggers, records of cardmembers who already utilize a given product are analyzed to determine their spend patterns. The spend histories of customers who are eligible to use the product are analyzed according to the identified triggers. Customers whose spend patterns most closely correspond to the triggers are then targeted with offers for the given product.

Abstract: Utilization of information in a closed loop data system further augments modeling while at the same time enabling customization of offers based on spend patterns. Data mining techniques are leveraged to identify rules to determine higher response rate populations. These rules are referred to herein as “triggers,” in that the presence of particular attributes will trigger a cardholder as being more likely to respond to a particular offer. The benefit yielded by this approach is a greater acceptance rate to an offer provided by a transactional account company. To identify the triggers, records of cardmembers who already utilize a given product are analyzed to determine their spend patterns. The spend histories of customers who are eligible to use the product are analyzed according to the identified triggers. Customers whose spend patterns most closely correspond to the triggers are then targeted with offers for the given product.

Abstract: Utilization of information in a closed loop data system further augments modeling while at the same time enabling customization of offers based on spend patterns. Data mining techniques are leveraged to identify rules to determine higher response rate populations. These rules are referred to herein as “triggers,” in that the presence of particular attributes will trigger a cardholder as being more likely to respond to a particular offer. The benefit yielded by this approach is a greater acceptance rate to an offer provided by a transactional account company. To identify the triggers, records of cardmembers who already utilize a given product are analyzed to determine their spend patterns. The spend histories of customers who are eligible to use the product are analyzed according to the identified triggers. Customers whose spend patterns most closely correspond to the triggers are then targeted with offers for the given product.

Abstract: Utilization of information in a closed loop data system further augments modeling while at the same time enabling customization of offers based on spend patterns. Data mining techniques are leveraged to identify rules to determine higher response rate populations. These rules are referred to herein as “triggers,” in that the presence of particular attributes will trigger a cardholder as being more likely to respond to a particular offer. The benefit yielded by this approach is a greater acceptance rate to an offer provided by a transactional account company. To identify the triggers, records of cardmembers who already utilize a given product are analyzed to determine their spend patterns. The spend histories of customers who are eligible to use the product are analyzed according to the identified triggers. Customers whose spend patterns most closely correspond to the triggers are then targeted with offers for the given product.

Abstract: Utilization of information in a closed loop data system further augments modeling while at the same time enabling customization of offers based on spend patterns. Data mining techniques are leveraged to identify rules to determine higher response rate populations. These rules are referred to herein as “triggers,” in that the presence of particular attributes will trigger a cardholder as being more likely to respond to a particular offer. The benefit yielded by this approach is a greater acceptance rate to an offer provided by a transactional account company. To identify the triggers, records of cardmembers who already utilize a given product are analyzed to determine their spend patterns. The spend histories of customers who are eligible to use the product are analyzed according to the identified triggers. Customers whose spend patterns most closely correspond to the triggers are then targeted with offers for the given product.