Plan de negocio para el suministro delivery de ingredientes listos para cocinar en casa

El servicio de delivery de ingredientes listos para cocinar La Caja del Chef, es una forma novedosa de aprender a cocinar platos de la gastronom?a peruana, adem?s de que en caso de que el cliente sepa cocinar, puede disfrutar de m?s tiempo con su familia y amigos, ya que los ingredientes estar?n listos para cocinar, pues la propuesta de valor es la de comprar ingredientes frescos y naturales, lavarlos, pelarlos, picarlos, cortarlos o trocearlos, para envasarlos y llevarlos hasta la puerta de la casa del cliente. Adem?s, el cliente podr? solicitar el servicio de un Chef profesional a domicilio, qui?n le ense?ar? a cocinar en su propia cocina, adem?s de servir los platos, atender a los invitados y dejar todo impecable, con esto, el cliente podr? disfrutar de una experiencia gastron?mica diferente y sentirse como un Chef para engre?r a sus familiares y amigos. El servicio ser? ofrecido por la p?gina web y aplicativo optimizado que contar? con una pasarela de pagos donde el cliente podr? realizar su compra hasta el d?a jueves de cada semana

Plan de negocio para la exportaci?n de conserva de aguaymanto en alm?bar para el mercado alem?n

La conserva de aguaymanto en alm?bar surge de la idea de dar a conocer a nivel internacional una de las frutas nacionales de mayor contenido nutricional y con poco reconocimiento de su origen real. La elecci?n de Alemania se dio a trav?s del estudio de mercado con fuentes secundarias, partiendo desde un an?lisis general de consumos mundiales de fruta y conserva de frutas, adem?s de tomar en cuenta el ?ndice de desempe?o log?stico y el nivel de saturaci?n del mercado. El consumo per c?pita alem?n de conserva de frutas es de 2.35 Kilogramos, si lo llevamos a 400ml (nuestra presentaci?n) podemos obtener un mercado bastante atractivo de quinientos millones de conservas al a?o. La estrategia de posicionamiento de Peruvian Golden Berry ser? en funci?n de los atributos, y las actividades de marketing, impulsar?n la difusi?n de los beneficios del producto. Nuestros clientes est?n definidos por el canal habitual para productos alimenticios en Alemania, por ello el importador mayorista es con quien se tratar? directamente, este a su vez tendr? una demanda de parte de sus clientes, entre ellos las principales cadenas de supermercados, quienes manejan el 75% de ingresos por venta de alimentos en todo Alemania

Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015

SummaryBackground The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors—the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6–58·8) of global deaths and 41·2% (39·8–42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Funding Bill & Melinda Gates Foundation

Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015

Forouzanfar MH, Afshin A, Alexander LT, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. LANCET. 2016;388(10053):1659-1724.Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. Methods We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors-the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). Findings Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57.8% (95% CI 56.6-58.8) of global deaths and 41.2% (39.8-42.8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211.8 million [192.7 million to 231.1 million] global DALYs), smoking (148.6 million [134.2 million to 163.1 million]), high fasting plasma glucose (143.1 million [125.1 million to 163.5 million]), high BMI (120.1 million [83.8 million to 158.4 million]), childhood undernutrition (113.3 million [103.9 million to 123.4 million]), ambient particulate matter (103.1 million [90.8 million to 115.1 million]), high total cholesterol (88.7 million [74.6 million to 105.7 million]), household air pollution (85.6 million [66.7 million to 106.1 million]), alcohol use (85.0 million [77.2 million to 93.0 million]), and diets high in sodium (83.0 million [49.3 million to 127.5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. Interpretation Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. Copyright (C) The Author(s). Published by Elsevier Ltd

Detection of Raw Milk Adulterated with Cheese Whey by Ultrasound Method

<p>The potentiality of the ultrasound method to identify adulteration of pasteurized milk with cheese whey was evaluated. Milk samples were mixed with different concentrations of whey cheese (0, 0.5, 1, 2.5, 5, 10, 15 and 20% v/v), resulting in eight levels of adulteration (500 mL for each one). This procedure was repeated six times totaling 48 samples. Cheese whey was obtained from the manufacturing of fresh cheese under laboratory conditions. Samples were examined for conventional method and ultrasound method by lipids, cryoscopy index, density and non-fat solids. The results of fat were higher from ultrasound than conventional method. However, a significant difference between control and adulterer samples was observed by conventional method while ultrasound showed differences in samples adulterer with 5% of whey cheese onwards. For non-fat solid, only the ultrasound method showed differences in samples adulterer with 2.5% onwards. While no differences in density and cryoscopy index were shown in both methods for any level of adulteration. Although none of the methods shown to be better for the determination of adulterated milk with whey cheese, it is suggested that others physicochemical parameters will evaluate by both methods in order to find parameters indicative of adulteration in pasteurized milk adulterer with whey cheese.</p&gt