Abstract: The disclosed embodiments include a calorie optimization respiratory exchange fat macro utilization metabolic system, comprising a computer-readable storage media having stored thereon computer-executable instructions; a processor for executing the computer-executable instructions, wherein the computer-executable instructions include instructions for receiving user profile data from a user, wherein the user profile data includes age, sex, height, weight, diet, fitness information; and if available, five specific metabolic data points from individual respiratory exchange testing; otherwise, calculating five specific metabolic points versus heart rate; generating an individualized metabolic profile for the user based on the five metabolic points; determining for the user an individualized target exercise heart rate zone as a percentage of maximum heart rate from the metabolic profile, and determining a nutritional guideline from the metabolic profile, measuring user compliance to facilitate machine learning pro

Abstract: The disclosed embodiments include a calorie optimization respiratory exchange fat macro utilization metabolic system, comprising a computer-readable storage media having stored thereon computer-executable instructions; a processor for executing the computer-executable instructions, wherein the computer-executable instructions include instructions for receiving user profile data from a user, wherein the user profile data includes age, sex, height, weight, diet, fitness information; and if available, five specific metabolic data points from individual respiratory exchange testing; otherwise, calculating five specific metabolic points versus heart rate; generating an individualized metabolic profile for the user based on the five metabolic points; determining for the user an individualized target exercise heart rate zone as a percentage of maximum heart rate from the metabolic profile, and determining a nutritional guideline from the metabolic profile, measuring user compliance to facilitate machine learning pro

Abstract: An optical coating and a method of coating a substrate are provided. A first layer is deposited adjacent to a substrate. The first layer has an optical thickness of about 0.27 &lgr;0 to about 0.31 &lgr;0, where &lgr;0 is a reference wavelength corresponding to a spectral region bound by or in the visible spectrum. A second layer having an optical thickness of about 0.1 &lgr;0 to about 0.125 &lgr;0 and a refractive index from about 2.2 to about 2.6 is deposited. A third layer having a refractive index from about 1.46 to about 1.52 is deposited. The optical coating provides broadband anti-reflection performance, and the thin second layer facilitates high throughput production of the optical coating.

Abstract: A technique for providing a portable processing system with “always on, always connected” capability is provided. The portable processing system is equipped with two data communication devices, either or both of which may be implemented on a PC Card. The first communication device is for receiving data over a wireless link over a narrowband link. The second communication device is for both receiving and transmitting data over a communication link over a wider band link, i.e., at a data rate that is substantially higher than that of the first communication device. The first communication device is always on, such that the narrowband link is always established. The second communication device may be activated only when data is to be transferred to or from the portable processing system, such that the wider band link is established only when it is needed.

Abstract: An optical coating and a method of coating a substrate are provided. A first layer is deposited adjacent to a substrate. The first layer has an optical thickness of about 0.27 &lgr;0 to about 0.31 &lgr;0, where &lgr;0 is a reference wavelength corresponding to a spectral region bound by or in the visible spectrum. A second layer having an optical thickness of about 0.1 &lgr;0 to about 0.125 &lgr;0 and a refractive index from about 2.2 to about 2.6 is deposited. A third layer having a refractive index from about 1.46 to about 1.52 is deposited. The optical coating provides broadband anti-reflection performance, and the thin second layer facilitates high throughput production of the optical coating.

Abstract: An optical coating for a substrate comprises an amorphous material, which includes titanium oxide and one or more additives. Titanium oxide and the additive in an oxidized state do not form a solid solution. The amorphous material may be used in low-emissivity, double low-emissivity, and anti-reflection coatings. A method for coating a substrate comprises depositing a first anti-reflection layer of a dielectric over a substrate, depositing a metallic layer over the anti-reflection layer, and depositing a second anti-reflection layer of a dielectric over the metallic layer. At least one of the first anti-reflection layer and the second anti-reflection layer comprises the amorphous material.