Mobile device driven taxi management system

This dissertation is about the project ‘Mobile Device Driven Taxi Management System’. The project consist tree main software implementations as Server Sub System (SSS), Operator Desktop - Client application (ODC) and Vehicle Driver’s Mobile application (VDM). SSS is the core and service provider for both ODC and VDM applications. The main objective ofthe above Sub systems architecture is to use the currently available web and mobile technologies in development of the solution and high availability ofthe system in operation at the business point ofview. In the first phase of the Software Development Life Cycle the knowledge oftaxi management domain has been acquired. They have been analyzed and best architectural design was decided based on the requirement. Code level implementation and suitable tests wereconducted prior release of the software to the Business Client. Mainly the Iterative Model of Development has been used for Software development in the project to minimize the time and requirement gathering ambiguities. Then in each phase there have been modules were developed in the development of code. The software solution has been delivered to the business client and the solution has been deployed on their computer systems

Sensory interaction on static balance: A comparison concerning the history of falls of community-dwelling elderly

To determine whether elderly subjects with distinct histories of falls presented differences concerning the influence of sensory interaction on balance. Cross-sectional research. Ninety-six community-dwelling elderly subjects were divided into three groups, according to the history of falls within the past year (group 1, no falls; group 2, one fall; and group 3, recurrent falls). The Clinical Test of Sensory Interaction and Balance was used to evaluate the influence of sensory inputs on standing balance. The test required the subject to maintain stability during 30 s, under six conditions: (i) firm surface with eyes open; (ii) firm surface with eyes closed; (iii) firm surface with visual conflict; (iv) unstable surface with eyes open; (v) unstable surface with eyes closed; and (vi) unstable surface with visual conflict. The time expended on conditions and the number of abnormal cases were compared between groups. Each group was evaluated in relation to its performance in the progression of conditions. More abnormal cases occurred in group 3 compared to group 1 for conditions (iv) and (v); and compared to group 2 for condition (iv). Group 3 remained less time than group 1 under conditions (iv), (v) and (vi). Groups 1, 2 and 3 presented relevant decrements in trial duration from conditions (iv) to (v). For group 3, a significant decay was also noted from condition (i) to (ii). Sensorial interaction in the elderly varies according to their history of falls. Thus, it is possible to correctly guide the rehabilitation process and to prevent sensorial decays according to an individual's history of falls.9216517

KINETICS AND SPECIFICITY OF THE RENAL NA+/MYO-INOSITOL COTRANSPORTER EXPRESSED IN XENOPUS OOCYTES

The two-microelectrode voltage clamp technique was used to examine the kinetics and substrate specificity of the cloned renal Na+/myo-inositol cotransporter (SMIT) expressed in Xenopus oocytes. The steady-state myo-inositol-induced current was measured as a function of the applied membrane potential (V-m), the external myo-inositol concentration and the external Na+ concentration, yielding the kinetic parameters: K-0.5(MI), K-0.5(Na), and the Hill coefficient n. At 100 mM NaCl, K-0.5(MI) was about 50 mu M and was independent of V-m. At 0.5 mM myo-inositol, K-0.5(Na) ranged from 76 mM at V-m = -50 mV to 40 mM at V-m = -150 mV. n was voltage independent with a value of 1.9 +/- 0.2, suggesting that two Na+ ions are transported per molecule of myo-inositol. Phlorizin was an inhibitor with a voltage-dependent apparent K-I of 64 mu M at V-m = -50 mV and 130 mu M at V-m = -150 mV. To examine sugar specificity, sugar-induced steady-state currents (at V-m= -150 mV) were recorded for a series of sugars, each at an external concentration of 50 mM. The substrate selectivity series was myo-inositol, scyllo-inositol > L-fucose > L-xylose > L-glucose, D-glucose, alpha-methyl-D-glucopyranoside > D-galactose, D-fucose, 3-O-methyl-D-glucose, 2-deoxy-D-glucose > D-xylose. For comparison, oocytes were injected with cRNA for the rabbit intestinal Na+/glucose cotransporter (SGLT1) and sugar-induced steady-state currents (at V-m = -150 mV) were measured. For oocytes expressing SGLT1, the sugar selectivity was: D-glucose, alpha-methyl-D-glucopyranoside, D-galactose, D-fucose, 3-O-methyl-D-glucose > D-xylose, L-xylose, 2-deoxy-D-glucose > myoinositol, L-glucose, L-fucose. The ability of SMIT to transport glucose and SGLT1 to transport myo-inositol was independently confirmed by monitoring the Na+ dependent uptake of H-3-D-glucose and H-3-myo-inositol, respectively. In common with SGLT1, SMIT gave a relaxation current in the presence of 100 mM Na+ that was abolished by phlorizin (0.5 mM). This transient current decayed with a voltage-sensitive time constant between 10 and 14 msec. The presteady-state current is apparently due to the reorientation of the cotransporter protein in the membrane in response to a change in V-m. The kinetics of SMIT is accounted for by an ordered six-state nonrapid equilibrium model.close8

Custo Leite para Windows: Software de Controle de Custos para a Pecuária Leiteira

The objective of this work was to develop a software to assist the technicians and producers in the determination of the cos, of production of milk. The Milk Cost is made up of a plan of calculations encompassing both expenses and incomes. The user can put into a spreadsheet all the expenses and incomes concerning to the milk production system, the software enables the spreadsheet of all the estates and facilities of the production system, aiming the calculations of depreciation and remuneration of the capital. The Milk Cost calculates and presents to the user the following variables: total of the incomes, total of the operational costs, total costs, gross margin, net margin, profit-operational cost and total cost per kilogram of milk, break even point or the production system, total amount of milk produced, value of the property, capital remuneration, average yield or the cows (kg/day) and milk yield in ka/ha/month. The system enables the user a number of simulations involving all the parameters and variables, showing the strangulation pointstand helping both the technician and the stockman to determine milk production cost with precision and considerable quickness.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES