Abstract: The present invention relates to an electrical energy storage device including at least one electrical energy storage unit comprising two electrodes, one being an anode (6.3a) and the other being a cathode (6.3b), wherein the electrodes are based on an electroactive paste comprising carbon micro/nanoparticles (3.4) dispersed in an electrolyte, which, under pressure, provide a highly efficient electrical conductivity network though all the paste and, at the same time, act as a supercapacitor, and nanosized redox active elements (4.6) added to the carbon micro and nanoparticles (4.4) and an electrolyte (3.2 and 4.2); and a structure that applies a given degree of mechanical pressure to the electroactive paste.

Abstract: A removable display assembly for a bicycle includes: a housing having a body that extends along a first direction from a first end to a second end, wherein the body further extends along a second direction that is transverse to the first direction, such that at least a portion of the body can be positioned through an opening in a wall of a first tube of a bicycle frame to be at least partially positioned within an internal cavity of the first tube, wherein the opening extends along the first direction from a first end to a second end, a display coupled to the body of the housing; a first transverse spring coupled to the first end of the housing; a second transverse spring coupled to the second end of the housing; and a third spring coupled to the second end of the housing.

Abstract: CCRM is a business method and computer software system, to be used by Enterprises selling portfolios of products/services, aiming to optimize the expected value of transactions (or contracts) with consumers or business customers. At a transaction level, CCRM estimates the probability of choice of potential offers by the customer. These offers may be presented alone with possible variation of their attributes (such as price), or in combinations/sets, or in sequences. CCRM calculates the probability of consequent conversion and realization of the sale. Probabilities of choice and conversion are forecasted based on a disaggregated customer choice model, taking into account customer characteristics and stated preferences as well as product/service attributes such as price. Offers are then scored and ranked by expected value based on their revenue, cost and choice probability.