El sentido de la muerte en Ser y Tiempo de Heidegger

El presente artículo analiza el tema de la muerte dentro de la obra Ser y Tiempo de Martin Heidegger; la función de tal condición dentro de la existencia del Dasein tiene un sentido fundamental: mostrar que la finitud es parte esencial del hombre. Y sólo a partir de esta referencia se devela el futuro de la existencia, es decir, exclusivamente a partir de esta referencia se muestra la estructura ontológico existenciaria del Dasein que es irreferible y peculiarmente irreductible. Por otro lado, en este trabajo se muestra que, paradójicamente, la muerte no muestra nada, no devela nada, en el sentido de que no aporta un consuelo y una promesa. De manera opuesta a lo anterior pone al hombre ante la nada, condición necesaria del pensamiento de Heidegger

PRISAS/INSAH-MSU-USAID Sahel Regional Food Security Project: Results and Impact

Food Security and Poverty, Downloads July 2008-June 2009: 8,

PREMIUMS/DISCOUNTS AND PREDICTIVE ABILITY OF THE SHRIMP FUTURES MARKET

Seafood futures contracts are a novelty in the derivative markets, having shrimp as their only exponent. Unfortunately, shrimp futures contracts have suffered a disappointing start. The analyses focus on testing whether premiums/discounts for non-par deliverable shrimp size categories can eliminate cash price differentials, and whether the shrimp futures market can predict cash prices without bias. Results indicate ineffective premiums/discounts and predictive bias. These results and the momentous changes taking place in the seafood industry are contrasted to discuss the viability of seafood futures contracts.Agribusiness,

Plantinga-Vegter algorithm takes average polynomial time

We exhibit a condition-based analysis of the adaptive subdivision algorithm due to Plantinga and Vegter. The first complexity analysis of the PV Algorithm is due to Burr, Gao and Tsigaridas who proved a $O\big(2^{\tau d^{4}\log d}\big)$ worst-case cost bound for degree $d$ plane curves with maximum coefficient bit-size $\tau$. This exponential bound, it was observed, is in stark contrast with the good performance of the algorithm in practice. More in line with this performance, we show that, with respect to a broad family of measures, the expected time complexity of the PV Algorithm is bounded by $O(d^7)$ for real, degree $d$, plane curves. We also exhibit a smoothed analysis of the PV Algorithm that yields similar complexity estimates. To obtain these results we combine robust probabilistic techniques coming from geometric functional analysis with condition numbers and the continuous amortization paradigm introduced by Burr, Krahmer and Yap. We hope this will motivate a fruitful exchange of ideas between the different approaches to numerical computation.Comment: 8 pages, correction of typo