Analysis of the performance of different implementations of a heuristic method to optimize forest harvest scheduling

Research ArticleFinding an optimal solution of forest management scheduling problems with even flow constraints while addressing spatial concerns is not an easy task. Solving these combinatorial problems exactly with mixed-integer programming (MIP) methods may be infeasible or else involve excessive computational costs. This has prompted the use of heuristics. In this paper we analyze the performance of different implementations of the Simulated Annealing (SA) heuristic algorithm for solving three typical harvest scheduling problems. Typically SA consists of searching a better solution by changing one decision choice in each iteration. In forest planning this means that one treatment schedule in a single stand is changed in each iteration (i.e. one-opt move). We present a comparison of the performance of the typical implementation of SA with the implementation where up to three decision choices are changed simultaneously in each iteration (i.e. treatment schedules are changed in more than one stand). This may allow avoiding local optimal. In addition, the impact of SA – parameters (i.e. cooling schedule and initial temperature) are tested. We compare our heuristic results with a MIP formulation. The study case is tested in a real forest with 1000 stands and a total of 213116 decision choices. The study shows that when the combinatorial problem is very large, changing simultaneously the treatment schedule in more than one stand does not improve the performance of SA. Contrarily, if we reduce the size of the problem (i.e. reduce considerably the number of alternatives per stand) the two-opt moves approach performs betterinfo:eu-repo/semantics/publishedVersio

The supervisory perspective of residential mortgage securitization in Colombia

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1995.Includes bibliographical references (leaves 98-99).by Ferney G. Garcia.M.S

A stochastic dynamic programming approach to optimize short-rotation coppice systems management scheduling: An application to eucalypt plantations under wildfire risk in Portugal

This article presents and discusses research with the aim of developing a stand-level management scheduling model for short-rotation coppice systems that may take into account the risk of wildfire. The use of the coppice regeneration method requires the definition of both the optimal harvest age in each cycle and the optimal number of coppice cycles within a full rotation. The scheduling of other forest operations such as stool thinning and fuel treatments (e.g., shrub removals) must be further addressed. In this article, a stochastic dynamic programming approach is developed to determine the policy (e.g., fuel treatment, stool thinning, coppice cycles, and rotation length) that maximizes expected net revenues. Stochastic dynamic programming stages are defined by the number of harvests, and state variables correspond to the number of years since the stand was planted. Wildfire occurrence and damage probabilities are introduced in the model to analyze the impact of the wildfire risk on the optimal stand management schedule policy. For that purpose, alternative wildfire occurrence and postfire mortality scenarios were considered at each stage. A typical Eucalyptus globulus Labill. stand in Central Portugal was used as a test case. Results suggest that the proposed approach may help integrate wildfire risk in short-rotation coppice systems management scheduling. They confirm that the maximum expected discounted revenue decreases with and is very sensitive to the discount rate and further suggest that the number of cycles within a full rotation is not sensitive to wildfire risk. Nevertheless, the expected rotation length decreases when wildfire risk is consideredinfo:eu-repo/semantics/publishedVersio

Addressing wildfire risk in a landscape-level scheduling model: an application in Portugal

Fundamental Research - Forest ManagementThe paper presents and discusses research aiming at the development of a forested landscape management scheduling model that may address the risk of wildfires. A general indicator is built from wildfire occurrence and damage probabilities to assess stand-level resistance to wildfires. This indicator is developed to further address the specificity of each stand configuration (e.g., shape and size) and spatial context (neighboring stands characteristics). The usefulness of the development of such an indicator is tested within a mixed integer programming (MIP) approach to find the location and timing of management options (e.g., fuel treatment, thinning, clearcut) that may maximize the forested landscape expected net revenues. The Leiria National Forest, a Portuguese forest in central Portugal, was used as a case study. Results suggest that the proposed approach may help integrate wildfire risk in forested landscape management planning and assess its impact on the optimal plan. Results further show that prescriptions that include fuel treatments are often chosen over others that do not include them, thus highlighting the importance of wildfire management efforts. Finally, they provide interesting insights about the role of thinnings and fuel treatment in mitigating wildfire riskinfo:eu-repo/semantics/publishedVersio

mTOR regulates the expression of DNA damage response enzymes in long‐lived Snell dwarf, GHRKO, and PAPPA‐KO mice

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/136007/1/acel12525.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/136007/2/acel12525_am.pd

Essential role of the T cell–specific adapter protein in the activation of LCK in peripheral T cells

T cell–specific adapter protein (TSAd) is a SRC-homology-2 (SH2) domain–containing intracellular signaling molecule that is required for T cell antigen receptor (TCR)–induced cytokine synthesis in T cells. How TSAd functions in TCR signal transduction is not clear. Previous work has suggested a nuclear role for this adapter. However, other evidence suggests that TSAd also functions in the cytoplasm. Using T cells from TSAd-deficient mice, we now show that the major role of TSAd in the cytoplasm is in activation of the LCK protein tyrosine kinase at the outset of TCR signal transduction. Consequently, TSAd regulates several downstream signaling events, including intracellular calcium mobilization and activation of the Ras–extracellular signal–regulated kinase signaling pathway. TSAd regulates LCK activity directly through physical interaction with LCK SH3 and SH2 domains. These studies reveal TSAd as a positive regulator of proximal TCR signal transduction and provide important new information on the mechanism of TCR-induced LCK activation